id,node_id,number,title,user,user_label,state,locked,assignee,assignee_label,milestone,milestone_label,comments,created_at,updated_at,closed_at,author_association,pull_request,body,repo,repo_label,type,active_lock_reason,performed_via_github_app,reactions,draft,state_reason 314834783,MDU6SXNzdWUzMTQ4MzQ3ODM=,219,Expose units in the JSON API?,45057,russss,open,0,,,,,0,2018-04-16T22:04:25Z,2018-04-16T22:04:25Z,,CONTRIBUTOR,,"From #203: it would be nice for the JSON API to (optionally) return columns rendered with units in them - if, for example, you're consuming the JSON to render the rows on a map. I'm not entirely sure how useful this will be though - at the moment my map queries are custom SQL queries (a few have joins in, the rest might be fetching large amounts of data so it makes sense to limit columns fetched). Perhaps the SQL function is a better approach in general.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/219/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 341228846,MDU6SXNzdWUzNDEyMjg4NDY=,343,Render boolean fields better by default,45057,russss,open,0,,,,,1,2018-07-14T11:10:29Z,2018-07-14T14:17:14Z,,CONTRIBUTOR,,These show up as 0 or 1 because sqlite. I think Yes/No would be fine in most cases?,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/343/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 374953006,MDU6SXNzdWUzNzQ5NTMwMDY=,369,Interface should show same JSON shape options for custom SQL queries,416374,gfrmin,open,0,,,3268330,Datasette 1.0,2,2018-10-29T10:39:15Z,2020-05-30T17:24:06Z,,CONTRIBUTOR,,"At the moment the page returning a custom SQL query shows the JSON and CSV APIs, but not the multiple JSON shapes. However, adding the `_shape` parameter to the JSON API URL manually still works, so perhaps there should be consistency in the interface by having the same ""Advanced Export"" box for custom SQL queries.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/369/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 377155320,MDU6SXNzdWUzNzcxNTUzMjA=,370,Integration with JupyterLab,82988,psychemedia,open,0,,,,,4,2018-11-04T13:57:13Z,2022-09-29T08:17:47Z,,CONTRIBUTOR,,"I just watched a demo video for the [JupyterLab Chart Editor](https://www.crowdcast.io/e/introducing-JupyterLab-Chart-Editor/) which wraps the plotly chart editor app in a JupyterLab panel and lets you open a plotly chart JSON file in that editor. Essentially, it pops an HTML app into a panel in JupyterLab, and I think registers the app as a file viewer for a particular file type. (I'm not completely taken by it, tbh, because it means you can do irreproducible things to the chart definition file, but that's another issue). JupyterLab extensions can also open files from a dialogue as the iframe/html previewer shows: https://github.com/timkpaine/jupyterlab_iframe. This made me wonder about what `datasette` integration with JupyterLab might do. For example, by right-clicking on a CSV file (for which there is already a CSV table view) in the file browser, offer a *View / Run as datasette* file viewer option that will: - run the CSV file through `csvs-to-sqlite`; - launch the `datasette` server and display the `datasette` view in a JupyterLab panel. (? Create a new SQLite db for each CSV file and launch each datasette view on a new port? Or have a JupyterLab (session?) SQLite db that stores all `datasette` viewed CSVs and runs on a single port?) As a freebie, the `datasette` API would allow you to run efficient SQL queries against the file eg using using `pandas.read_sql()` queries in a notebook in the same space. Related: - [JupyterLab extensions docs](https://jupyterlab.readthedocs.io/en/stable/user/extensions.html) - a [cookiecutter for wrting JupyterLab extensions using Javascript](https://github.com/jupyterlab/extension-cookiecutter-js) - a [cookiecutter for writing JupyterLab extensions using Typescript](https://github.com/jupyterlab/extension-cookiecutter-ts) - tutorial: [Let’s Make an xkcd JupyterLab Extension](https://jupyterlab.readthedocs.io/en/stable/developer/xkcd_extension_tutorial.html)",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/370/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 377166793,MDU6SXNzdWUzNzcxNjY3OTM=,372,Docker build tools,82988,psychemedia,open,0,,,,,0,2018-11-04T16:02:35Z,2018-11-04T16:02:35Z,,CONTRIBUTOR,,"In terms of small pieces lightly joined, I note that there are several tools starting to appear for building generating Dockerfiles and building Docker containers from simpler components such as `requirements.txt` files. If plugin/extensions builders want to include additional packages, then things like incremental builds of composable builds that add additional items into a base `datasette` container may be required. Examples of Dockerfile generators / container builders: - [openshift/source-to-image (s2i)](https://github.com/openshift/source-to-image) - [jupyter/repo2docker](https://github.com/jupyter/repo2docker) - [stencila/dockter](https://github.com/stencila/dockter) Discussions / threads (via Binderhub gitter) on: - [why `repo2docker` not `s2i`](http://words.yuvi.in/post/why-not-s2i/) - [why `dockter` not `repo2docker`](https://twitter.com/choldgraf/status/1058499607309647872) - [composability in `s2i`](https://trello.com/c/AexIVZNf/1008-8-composable-builds-builds-evg) Relates to things like: - https://github.com/simonw/datasette/pull/280",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/372/reactions"", ""total_count"": 2, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 2, ""rocket"": 0, ""eyes"": 0}",, 440325850,MDExOlB1bGxSZXF1ZXN0Mjc1OTIzMDY2,452,SQL builder utility classes,45057,russss,open,0,,,,,0,2019-05-04T13:57:47Z,2019-05-04T14:03:04Z,,CONTRIBUTOR,simonw/datasette/pulls/452,"This adds a straightforward set of classes to aid in the construction of SQL queries. My plan for this was to allow plugins to manipulate the Datasette-generated SQL in a more structured way. I'm not sure that's going to work, but I feel like this is still a step forward - it reduces the number of intermediate variables in `TableView.data` which aids readability, and also factors out a lot of the boring string concatenation. There are a fair number of minor structure changes in here too as I've tried to make the ordering of `TableView.data` a bit more logical. As far as I can tell, I haven't broken anything...",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/452/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 527710055,MDU6SXNzdWU1Mjc3MTAwNTU=,640,Nicer error message for heroku publish name clash,82988,psychemedia,open,0,,,,,1,2019-11-24T14:57:07Z,2019-12-06T07:19:34Z,,CONTRIBUTOR,,"If you try to publish to Heroku using no set name (i.e. the default `datasette` name) and a project already exists under that name, you get a meaningful error report on the first line followed by Py error messages that drown it out: ``` Creating datasette... ! ▸ Name datasette is already taken Traceback (most recent call last): File ""/usr/local/bin/datasette"", line 10, in sys.exit(cli()) File ""/usr/local/lib/python3.7/site-packages/click/core.py"", line 764, in __call__ return self.main(*args, **kwargs) File ""/usr/local/lib/python3.7/site-packages/click/core.py"", line 717, in main rv = self.invoke(ctx) File ""/usr/local/lib/python3.7/site-packages/click/core.py"", line 1137, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/usr/local/lib/python3.7/site-packages/click/core.py"", line 1137, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/usr/local/lib/python3.7/site-packages/click/core.py"", line 956, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/usr/local/lib/python3.7/site-packages/click/core.py"", line 555, in invoke return callback(*args, **kwargs) File ""/Users/NNNNN/Library/Python/3.7/lib/python/site-packages/datasette/publish/heroku.py"", line 124, in heroku create_output = check_output(cmd).decode(""utf8"") File ""/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/subprocess.py"", line 411, in check_output **kwargs).stdout File ""/usr/local/Cellar/python/3.7.5/Frameworks/Python.framework/Versions/3.7/lib/python3.7/subprocess.py"", line 512, in run output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['heroku', 'apps:create', 'datasette', '--json']' returned non-zero exit status 1. ``` It would be neater if: - the Py error message was caught; - the report suggested setting a project name using `-n` etc. It may also be useful to provide a command to list the current names that are being used, which I assume is available via a Heroku call?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/640/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 546073980,MDU6SXNzdWU1NDYwNzM5ODA=,74,Test failures on openSUSE 15.1: AssertionError: Explicit other_table and other_column,15092,jayvdb,open,0,,,,,3,2020-01-07T04:35:50Z,2020-01-12T07:21:17Z,,CONTRIBUTOR,,"openSUSE 15.1 is using python 3.6.5 and click-7.0 , however it has test failures while openSUSE Tumbleweed on py37 passes. Most fail on the cli exit code like ```py [ 74s] =================================== FAILURES =================================== [ 74s] _________________________________ test_tables __________________________________ [ 74s] [ 74s] db_path = '/tmp/pytest-of-abuild/pytest-0/test_tables0/test.db' [ 74s] [ 74s] def test_tables(db_path): [ 74s] result = CliRunner().invoke(cli.cli, [""tables"", db_path]) [ 74s] > assert '[{""table"": ""Gosh""},\n {""table"": ""Gosh2""}]' == result.output.strip() [ 74s] E assert '[{""table"": ""...e"": ""Gosh2""}]' == '' [ 74s] E - [{""table"": ""Gosh""}, [ 74s] E - {""table"": ""Gosh2""}] [ 74s] [ 74s] tests/test_cli.py:28: AssertionError ``` packaging project at https://build.opensuse.org/package/show/home:jayvdb:py-new/python-sqlite-utils I'll keep digging into this after I have github-to-sqlite working on Tumbleweed, as I'll need openSUSE Leap 15.1 working before I can submit this into the main python repo.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/74/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 642572841,MDU6SXNzdWU2NDI1NzI4NDE=,859,Database page loads too slowly with many large tables (due to table counts),3243482,abdusco,open,0,,,,,21,2020-06-21T14:23:17Z,2021-08-25T21:59:55Z,,CONTRIBUTOR,,"Hey, I have a database that I save in HTML from couple of web scrapers. There are around 200k+, 50+ rows in a couple of tables, with sqlite file weighing around 600MB. The app runs on a VPS with 2 core CPU, 4GB RAM and refreshing database page regularly takes more than 10 seconds. I was suspecting that counting tables was the culprit, but manually running `select count(*) from table_name` for the largest table finishes under a second. I've looked at the source code. There's a check for index page for mutable databases larger than 100MB https://github.com/simonw/datasette/blob/799c5d53570d773203527f19530cf772dc2eeb24/datasette/views/index.py#L15 but this check is not performed for database page. I've manually crippled `Database::table_counts` method ```py async def table_counts(self, limit=10): if not self.is_mutable and self.cached_table_counts is not None: return self.cached_table_counts # Try to get counts for each table, $limit timeout for each count counts = {} for table in await self.table_names(): try: # table_count = ( # await self.execute( # ""select count(*) from [{}]"".format(table), # custom_time_limit=limit, # ) # ).rows[0][0] counts[table] = 10 # table_count # In some cases I saw ""SQL Logic Error"" here in addition to # QueryInterrupted - so we catch that too: except (QueryInterrupted, sqlite3.OperationalError, sqlite3.DatabaseError): counts[table] = None if not self.is_mutable: self.cached_table_counts = counts return counts ``` now the page loads in <100ms. Is it possible to apply size check on database page too?
/-/versions output 
{
    ""python"": {
        ""version"": ""3.8.0"",
        ""full"": ""3.8.0 (default, Oct 28 2019, 16:14:01) \n[GCC 8.3.0]""
    },
    ""datasette"": {
        ""version"": ""0.44""
    },
    ""asgi"": ""3.0"",
    ""uvicorn"": ""0.11.5"",
    ""sqlite"": {
        ""version"": ""3.22.0"",
        ""fts_versions"": [
            ""FTS5"",
            ""FTS4"",
            ""FTS3""
        ],
        ""extensions"": {
            ""json1"": null
        },
        ""compile_options"": [
            ""COMPILER=gcc-7.4.0"",
            ""ENABLE_COLUMN_METADATA"",
            ""ENABLE_DBSTAT_VTAB"",
            ""ENABLE_FTS3"",
            ""ENABLE_FTS3_PARENTHESIS"",
            ""ENABLE_FTS3_TOKENIZER"",
            ""ENABLE_FTS4"",
            ""ENABLE_FTS5"",
            ""ENABLE_JSON1"",
            ""ENABLE_LOAD_EXTENSION"",
            ""ENABLE_PREUPDATE_HOOK"",
            ""ENABLE_RTREE"",
            ""ENABLE_SESSION"",
            ""ENABLE_STMTVTAB"",
            ""ENABLE_UNLOCK_NOTIFY"",
            ""ENABLE_UPDATE_DELETE_LIMIT"",
            ""HAVE_ISNAN"",
            ""LIKE_DOESNT_MATCH_BLOBS"",
            ""MAX_SCHEMA_RETRY=25"",
            ""MAX_VARIABLE_NUMBER=250000"",
            ""OMIT_LOOKASIDE"",
            ""SECURE_DELETE"",
            ""SOUNDEX"",
            ""TEMP_STORE=1"",
            ""THREADSAFE=1""
        ]
    }
}
",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/859/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 648749062,MDExOlB1bGxSZXF1ZXN0NDQyNTA1MDg4,883,Skip counting hidden tables,3243482,abdusco,open,0,,,,,4,2020-07-01T07:38:08Z,2020-07-02T00:25:44Z,,CONTRIBUTOR,simonw/datasette/pulls/883,"Potential fix for https://github.com/simonw/datasette/issues/859. Disabling table counts for hidden tables speeds up database page quite a bit. In my setup it reduced load time by 2/3 (~300 -> ~90ms)",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/883/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 688670158,MDU6SXNzdWU2ODg2NzAxNTg=,147,SQLITE_MAX_VARS maybe hard-coded too low,96218,simonwiles,open,0,,,,,7,2020-08-30T07:26:45Z,2021-02-15T21:27:55Z,,CONTRIBUTOR,,"I came across this while about to open an issue and PR against the documentation for `batch_size`, which is a bit incomplete. As mentioned in #145, while: > [`SQLITE_MAX_VARIABLE_NUMBER`](https://www.sqlite.org/limits.html#max_variable_number) ... defaults to 999 for SQLite versions prior to 3.32.0 (2020-05-22) or 32766 for SQLite versions after 3.32.0. it is common that it is increased at compile time. Debian-based systems, for example, seem to ship with a version of sqlite compiled with SQLITE_MAX_VARIABLE_NUMBER set to 250,000, and I believe this is the case for homebrew installations too. In working to understand what `batch_size` was actually doing and why, I realized that by setting `SQLITE_MAX_VARS` in `db.py` to match the value my sqlite was compiled with (I'm on Debian), I was able to decrease the time to `insert_all()` my test data set (~128k records across 7 tables) from ~26.5s to ~3.5s. Given that this about .05% of my total dataset, this is time I am keen to save... Unfortunately, it seems that `sqlite3` in the python standard library doesn't expose the `get_limit()` C API (even though `pysqlite` used to), so it's hard to know what value sqlite has been compiled with (note that this could mean, I suppose, that it's less than 999, and even hardcoding `SQLITE_MAX_VARS` to the conservative default might not be adequate. It can also be lowered -- but not raised -- at runtime). The best I could come up with is `echo """" | sqlite3 -cmd "".limits variable_number""` (only available in `sqlite >= 2015-05-07 (3.8.10)`). Obviously this couldn't be relied upon in `sqlite_utils`, but I wonder what your opinion would be about exposing `SQLITE_MAX_VARS` as a user-configurable parameter (with suitable ""here be dragons"" warnings)? I'm going to go ahead and monkey-patch it for my purposes in any event, but it seems like it might be worth considering.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/147/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 698791218,MDU6SXNzdWU2OTg3OTEyMTg=,50,"favorites --stop_after=N stops after min(N, 200)",370930,mikepqr,open,0,,,,,2,2020-09-11T03:38:14Z,2020-09-13T05:11:14Z,,CONTRIBUTOR,,"For any number greater than 200, `favorites --stop_after` stops after getting 200 tweets, e.g. ``` $ twitter-to-sqlite favorites tweets.db --stop_after=300 Importing favorites [####################################] 199 $ ``` I don't _think_ this is a limitation of the API (if you omit `--stop_after` you get some very large number, possibly all of them), so I _think_ this is a bug.",206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/50/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 751195017,MDU6SXNzdWU3NTExOTUwMTc=,1111,Accessing a database's `.json` is slow for very large SQLite files,15178711,asg017,open,0,,,,,3,2020-11-26T00:27:27Z,2021-01-04T19:57:53Z,,CONTRIBUTOR,,"I have a SQLite DB that's pretty large, 23GB and something like 300 million rows. I expect that most queries I run on it will be slow, which is fine, but there are some things that Datasette does that makes working with the DB very slow. Specifically, when I access the `.json` metadata for a table (which I believe it comes from `datasette/views/database.py`, it takes 43 seconds for the request to come in: ```bash $ time curl localhost:9999/out.json {""database"": ""out"", ""size"": 24291454976, ""tables"": [{""name"": ""PageviewsHour"", ""columns"": [""file"", ""code"", ""page"", ""pageviews""], ""primary_keys"": [], ""count"": null, ""hidden"": false, ""fts_table"": null, ""foreign_keys"": {""incoming"": [], ""outgoing"": [{""other_table"": ""PageviewsHourFiles"", ""column"": ""file"", ""other_column"": ""file_id""}]}, ""private"": false}, {""name"": ""PageviewsHourFiles"", ""columns"": [""file_id"", ""filename"", ""sha256"", ""size"", ""day"", ""hour""], ""primary_keys"": [""file_id""], ""count"": null, ""hidden"": false, ""fts_table"": null, ""foreign_keys"": {""incoming"": [{""other_table"": ""PageviewsHour"", ""column"": ""file_id"", ""other_column"": ""file""}], ""outgoing"": []}, ""private"": false}, {""name"": ""sqlite_sequence"", ""columns"": [""name"", ""seq""], ""primary_keys"": [], ""count"": 1, ""hidden"": false, ""fts_table"": null, ""foreign_keys"": {""incoming"": [], ""outgoing"": []}, ""private"": false}], ""hidden_count"": 0, ""views"": [], ""queries"": [], ""private"": false, ""allow_execute_sql"": true, ""query_ms"": 43340.23213386536} real 0m43.417s user 0m0.006s sys 0m0.016s ``` I suspect this is because a `COUNT(*)` is happening under the hood, which, when I run it through sqlite directly, does take around the same time: ```bash $ time sqlite3 out.db < <(echo ""select count(*) from PageviewsHour;"") 362794272 real 0m44.523s user 0m2.497s sys 0m6.703s ``` I'm using the `.json` request in the [Observable Datasette Client](https://observablehq.com/@asg017/datasette-client) to 1) verify that a link passed in is a reachable Datasette instance, and 2) a quick way to look at metadata for a db. A few different solutions I can think of: 1. Have some other endpoint, like `/-/datasette.json` that the Observable Datasette client can fetch from to verify that the passed in URL is a valid Datasette (doesnt solve the slow problem, feel free to split this issue into 2) 2. Have a way to turn off table counts when accessing a database's `.json` view, like `?no_count=1` or something 3. Maybe have a timeout on the `table_counts()` function if it takes too long. which is odd, because it seems like it already does that (I think?), I can debug a little more if that's the case More than happy to debug further, or send a PR if you like one of the proposals above!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1111/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 756875827,MDU6SXNzdWU3NTY4NzU4Mjc=,1129,Fix footer to the bottom of the page,3243482,abdusco,open,0,,,,,0,2020-12-04T07:28:07Z,2020-12-04T16:04:29Z,,CONTRIBUTOR,,"Footer doesn't stick to the bottom if the body content isn't long enough to reach the end of viewport. ![before & after](https://user-images.githubusercontent.com/3243482/101134785-f6595a80-361b-11eb-81ce-b8b5cb9c5bc2.png) This can be fixed using flexbox. ```css body { min-height: 100vh; display: flex; flex-direction: column; } .content { flex-grow: 1; } ``` ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1129/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 756876238,MDExOlB1bGxSZXF1ZXN0NTMyMzQ4OTE5,1130,Fix footer not sticking to bottom in short pages,3243482,abdusco,open,0,,,,,4,2020-12-04T07:29:01Z,2021-06-15T13:27:48Z,,CONTRIBUTOR,simonw/datasette/pulls/1130,Fixes https://github.com/simonw/datasette/issues/1129,107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1130/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 771511344,MDExOlB1bGxSZXF1ZXN0NTQzMDE1ODI1,31,Update for Big Sur,41546558,RhetTbull,open,0,,,,,7,2020-12-20T04:36:45Z,2023-08-08T15:52:52Z,,CONTRIBUTOR,dogsheep/dogsheep-photos/pulls/31,Refactored out the SQL for extracting aesthetic scores to use osxphotos -- adds compatbility for Big Sur via osxphotos which has been updated for new table names in Big Sur. Have not yet refactored the SQL for extracting labels which is still compatible with Big Sur.,256834907,dogsheep-photos,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/31/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 779088071,MDU6SXNzdWU3NzkwODgwNzE=,54,Archive import appears to be broken on recent exports,21148,jacobian,open,0,,,,,5,2021-01-05T14:18:01Z,2023-01-04T11:06:55Z,,CONTRIBUTOR,,"I requested a Twitter export yesterday, and unfortunately they seem to have changed it such that `twitter-to-sqlite import` can't handle it anymore 😢 So far I've ran into two issues. The first was easy to work around, but the second will take more investigation. If I can find the time I'll keep working on it and update this issue accordingly. The issues (so far): ### 1. Data seems to have moved to a `data/` subdirectory Running `twitter-to-sqlite import` on the raw zip file reports a bunch of ""not yet implemented"" errors, and then exits without actually importing anything: ``` ❯ twitter-to-sqlite import tarchive.db twitter.zip ... data/manifest: not yet implemented data/account-creation-ip: not yet implemented data/account-suspension: not yet implemented ... (dozens of more lines like this, including critical stuff like data/tweets) ... ``` (`tarchive.db` now exists, but is empty) Workaround: unpack the zip file, and run `twitter-to-sqlite import tarchive.db path/to/archive/data` That gets further, but: ### 2. Some schema(s?) have changed At least, the `blocks` schema seems different now: ``` ❯ twitter-to-sqlite import tarchive.db archive/data direct-messages-group: not yet implemented branch-links: not yet implemented periscope-expired-broadcasts: not yet implemented direct-messages: not yet implemented mute: not yet implemented Traceback (most recent call last): File ""/Users/jacob/Library/Caches/pypoetry/virtualenvs/jacobian-dogsheep-4AXaN4tu-py3.8/bin/twitter-to-sqlite"", line 8, in sys.exit(cli()) File ""/Users/jacob/Library/Caches/pypoetry/virtualenvs/jacobian-dogsheep-4AXaN4tu-py3.8/lib/python3.8/site-packages/click/core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""/Users/jacob/Library/Caches/pypoetry/virtualenvs/jacobian-dogsheep-4AXaN4tu-py3.8/lib/python3.8/site-packages/click/core.py"", line 782, in main rv = self.invoke(ctx) File ""/Users/jacob/Library/Caches/pypoetry/virtualenvs/jacobian-dogsheep-4AXaN4tu-py3.8/lib/python3.8/site-packages/click/core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/Users/jacob/Library/Caches/pypoetry/virtualenvs/jacobian-dogsheep-4AXaN4tu-py3.8/lib/python3.8/site-packages/click/core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/Users/jacob/Library/Caches/pypoetry/virtualenvs/jacobian-dogsheep-4AXaN4tu-py3.8/lib/python3.8/site-packages/click/core.py"", line 610, in invoke return callback(*args, **kwargs) File ""/Users/jacob/Library/Caches/pypoetry/virtualenvs/jacobian-dogsheep-4AXaN4tu-py3.8/lib/python3.8/site-packages/twitter_to_sqlite/cli.py"", line 772, in import_ archive.import_from_file(db, filepath.name, open(filepath, ""rb"").read()) File ""/Users/jacob/Library/Caches/pypoetry/virtualenvs/jacobian-dogsheep-4AXaN4tu-py3.8/lib/python3.8/site-packages/twitter_to_sqlite/archive.py"", line 215, in import_from_file to_insert = transformer(data) File ""/Users/jacob/Library/Caches/pypoetry/virtualenvs/jacobian-dogsheep-4AXaN4tu-py3.8/lib/python3.8/site-packages/twitter_to_sqlite/archive.py"", line 115, in lists_member return {""lists-member"": _list_from_common(data)} File ""/Users/jacob/Library/Caches/pypoetry/virtualenvs/jacobian-dogsheep-4AXaN4tu-py3.8/lib/python3.8/site-packages/twitter_to_sqlite/archive.py"", line 200, in _list_from_common for url in block[""userListInfo""][""urls""]: KeyError: 'urls' ``` That's as far as I got before I needed to work on something else. I'll report back if I get further!",206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/54/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 797097140,MDU6SXNzdWU3OTcwOTcxNDA=,60,Use Data from SQLite in other commands,22578954,daniel-butler,open,0,,,,,3,2021-01-29T18:35:52Z,2021-02-12T18:29:43Z,,CONTRIBUTOR,,"As a total beginner here how could you access data from the sqlite table to run other commands. What I am thinking is I want to get all the repos in an organization then using the repo list pull all the commit messages for each repo. I love this project by the way!",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/60/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 797784080,MDU6SXNzdWU3OTc3ODQwODA=,62,Stargazers and workflows commands always require an auth file when using GITHUB_TOKEN ,631242,frosencrantz,open,0,,,,,0,2021-01-31T18:56:05Z,2021-01-31T18:56:05Z,,CONTRIBUTOR,,"Requested fix in https://github.com/dogsheep/github-to-sqlite/pull/59 The stargazers and workflows commands always require an auth file, even when using a `GITHUB_TOKEN`. Other commands don't require the auth file. ",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/62/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 817989436,MDU6SXNzdWU4MTc5ODk0MzY=,242,Async support,25778,eyeseast,open,0,,,,,13,2021-02-27T18:29:38Z,2021-10-28T14:37:56Z,,CONTRIBUTOR,,"Following our conversation last week, want to note this here before I forget. I've had a couple situations where I'd like to do a bunch of updates in an async event loop, but I run into SQLite's issues with concurrent writes. This feels like something sqlite-utils could help with. PeeWee ORM has a [SQLite write queue](http://docs.peewee-orm.com/en/latest/peewee/playhouse.html#sqliteq) that might be a good model. It's using threads or gevent, but I _think_ that approach would translate well enough to asyncio. Happy to help with this, too.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/242/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 843884745,MDU6SXNzdWU4NDM4ODQ3NDU=,1283,advanced #export causes unexpected scrolling,192568,mroswell,open,0,,,,,0,2021-03-29T22:46:57Z,2021-03-29T22:46:57Z,,CONTRIBUTOR,,"1. Visit a datasette table page 2. Click on the ""(advanced)"" link. This adds a fragment identifier ""#export"" to the URL, and scrolls down to the ""Advanced export"" div with the ""export"" id. 3. Manually scroll back up, and click on a suggested facet. The fragment identifier is still present, and the app scrolls back down to the ""Advanced export"" div. I think this is unwanted behavior. The user remedy seems to be to manually remove the ""#export"" from the URL. This behavior happens in my project, and in: https://covid-19.datasettes.com/covid/economist_excess_deaths (for instance) but not in this table: https://global-power-plants.datasettes.com/global-power-plants/global-power-plants",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1283/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 845794436,MDU6SXNzdWU4NDU3OTQ0MzY=,1284,Feature or Documentation Request: Individual table as home page template,192568,mroswell,open,0,,,,,4,2021-03-31T03:56:17Z,2021-11-04T03:15:01Z,,CONTRIBUTOR,,"It would be great to have a sample showing how to move a single database that has a single table, to the index page. I'm trying it now, and find there is a real depth of Datasette and Python understanding that's required to be successful. I've got all the basic jinja concepts down... variables, template control structures, template inheritance, template overrides, css, html, the --template-dir and --static arguments, etc. But copying the table.html file to index.html doesn't work. There are undocumented functions and filters... I can figure some of them out (yay, url_builder.py and utils/__init__.py!) but it's a slog better handled by a much stronger Python developer. One sample would make a world of difference. The ideal form of this documentation would be a diff between the default table.html and how that would look if essentially moved to index.html. The use case is for everyone who wants to create a public-facing website to explore a single table at the root directory. (Maybe a second bit of documentation for people who have a single database with multiple tables.) (Hmm... might be cool to have a setting for that, where it happens automagically! If only one table, then home page is at the table level. if only one database, then home page is at the database level.... as an option.) I suppose I could ignore this, and somehow do this in the DNS settings once I hook up Vercel to a domain name, maybe.. and remove the breadcrumbs in table.html... but for now, a documentation request in the form of a diff... for viewing a single table (or a single database) at the root. (Actually, there's probably room for a whole expanded section on templates. Noticed some nice table metadata in one of the datasette examples, for instance... Hmm... maybe a whole library of solutions in one place... maybe a documentation hackathon! If that's of interest, of course it's a separate issue. ) ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1284/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 847700726,MDU6SXNzdWU4NDc3MDA3MjY=,1285,Feature Request or Plugin Request: Numeric Range Facets,192568,mroswell,open,0,,,,,0,2021-04-01T01:50:20Z,2021-04-01T02:28:19Z,,CONTRIBUTOR,,"It would be great to offer facets for numeric data ranges. The ranges could pull from typical GIS methods of creating choropleth maps. https://gisgeography.com/choropleth-maps-data-classification/ Of the following, for mapping, I've always preferred a Jenks Natural Breaks, or a cross between Jenks and Pretty breaks. - Equal Intervals - Quantile (equal count) - Standard Deviation - Natural Breaks (Jenks) Classification - Pretty Breaks - Some sort of Aggregate Jenks Classification (this isn't standard, but it would be nice to be able to set classification ranges that work across tables.) Here are some links for Natural Breaks, in case this method is unfamiliar. - https://en.wikipedia.org/wiki/Jenks_natural_breaks_optimization - http://wiki.gis.com/wiki/index.php/Jenks_Natural_Breaks_Classification - https://medium.com/analytics-vidhya/jenks-natural-breaks-best-range-finder-algorithm-8d1907192051 Per that last link, there is a Jenks Python module... They also describe it as data-intensive for larger datasets. Maybe this is a good plugin idea. An example of equal Intervals would be 0 – < 10 10 – < 20 20 – < 30 30 – < 40 It's kind of confusing to have that less-than sign in there. it could also be displayed as: 0 – 10 10 – 20 20 – 30 30 – 40 But then it's not completely clear which category 10 is in, for instance. (Best to right-justify.. and use an ""en dash"" between numbers.) ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1285/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 849220154,MDU6SXNzdWU4NDkyMjAxNTQ=,1286,Better default display of arrays of items,192568,mroswell,open,0,,,,,5,2021-04-02T13:31:40Z,2021-06-12T12:36:15Z,,CONTRIBUTOR,,"Would be great to have template filters that convert array fields to bullets and/or delimited lists upon table display: ``` |to_bullets |to_comma_delimited |to_semicolon_delimited ``` or maybe: ``` |join_array(""bullet"") |join_array(""bullet"",""square"") |join_array("";"") |join_array("","") ``` Keeping in mind that bullets show up in html as \ while other delimiting characters appear after the value. Of course, the fields themselves would remain as facetable arrays. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1286/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 853672224,MDU6SXNzdWU4NTM2NzIyMjQ=,1294,"""You can check out any time you like. But you can never leave!""",192568,mroswell,open,0,,,,,0,2021-04-08T17:02:15Z,2021-04-08T18:35:50Z,,CONTRIBUTOR,,"(Feel free to rename this one.) - The column gear lets you ""Show not-blank rows."" Then it places a parameter in the URL, which a web developer would notice, but a lot of users won't notice, or know to delete it. Would be good to toggle ""Show not-blank rows"" with ""Show all rows."" (Also would be quite helpful to have a ""Show blank rows | Show all rows"" option) - The column gear lets you ""Sort ascending"" and ""Sort descending"" but then you're stuck with some sort of sorted version thereafter, unless you know to sort the ID column, or to remove the full _sort parameter and its value in the URL. Would be good to offer a ""Remove sort"" option in the gear. - These requests are in the same camp as: https://github.com/simonw/datasette-vega/issues/36 - I suspect there are other url parameter instances where similar analysis would be helpful, but the three above are the use cases I've run across. UPDATE: - It would be helpful to have a ""Previous page"" available for all but the first table page.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1294/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 855451460,MDU6SXNzdWU4NTU0NTE0NjA=,1297,"Documentation: json1, and introspection endpoints",192568,mroswell,open,0,,,,,0,2021-04-12T00:38:00Z,2021-04-12T01:29:33Z,,CONTRIBUTOR,,"https://docs.datasette.io/en/stable/facets.html notes that: > If your SQLite installation provides the json1 extension (you can check using /-/versions) Datasette will automatically detect columns that contain JSON arrays... When I check -/versions I see two sections relevant to json1: ``` ""extensions"": { ""json1"": null }, ""compile_options"": [ ... ""ENABLE_JSON1"", ``` The ENABLE_JSON1 makes me think json1 is likely available. But the `""json1"": null` made me think it wasn't available (because of the `null`). It would help if the documentation provided clarity about how to know if json1 is installed. It would also be helpful if the `/-/versions` information signalled somehow that that is to be appended to the hostname or domain name (or whatever you want to call it, or simply show it, using `example.com/-/versions` instead of `/-/versions`. Likewise on that last point, for https://docs.datasette.io/en/stable/introspection.html#introspection , at least at some point on that page detailing where those introspection endpoints go. (Sometimes documentation can be so abbreviated that it's hard for new users to figure out what's going on.) ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1297/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 855476501,MDU6SXNzdWU4NTU0NzY1MDE=,1298,improve table horizontal scroll experience,192568,mroswell,open,0,,,,,4,2021-04-12T01:55:16Z,2022-08-30T21:11:49Z,,CONTRIBUTOR,,"Wide tables aren't a huge problem if you know to click and drag right. But it's not at all obvious to do that. (it also tends to blue-select any content as it's dragging.) Depending on column widths, public users might entirely miss all the columns to the right. There is a scrollbar at the bottom of the table, but I'm displaying ALL my records because it's the only way for datasette-vega to make accurate charts. So that bottom scrollbar is likely to be missed. I wonder if some sort of javascript-y mouseover to an arrow might help, similar to those seen in image carousels. Ah: here's a perfect example: 1. Visit http://google.com 2. Search for: animals endangered 3. Note the 'g-right-button' (in the code) that looks like a right-facing caret in a circle. 4. Click on that and the carousel scrolls right (and 'g-left-button' appears on the left). Might be tricky to do that on a table, rather than a one-row carousel, but it's worth experimenting with. Another option is just to put the scrollbars at the top of the table, too. Meantime, I'm trying to build a button like the ""View/hide all columns on https://salaries.news.baltimoresun.com/salaries-be494cf/2019+Maryland+state+salaries Might be nice to have that available by default, with settings in the metadata showing which are on by default. (I saw some other closed issues related to horizontal scrolling, and admit I don't entirely understand them. For instance, the animated gif at https://github.com/simonw/datasette/issues/998#issuecomment-714117534 confuses me. ) ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1298/reactions"", ""total_count"": 4, ""+1"": 4, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 860722711,MDU6SXNzdWU4NjA3MjI3MTE=,1301,Publishing to cloudrun with immutable mode?,5413548,louispotok,open,0,,,,,1,2021-04-18T17:51:46Z,2022-10-07T02:38:04Z,,CONTRIBUTOR,,"I'm a bit confused about immutable mode and publishing to cloudrun. (I want to publish with immutable mode so that I can support database downloads.) Running `datasette publish cloudrun --extra-options=""-i example.db""` leads to an error: > Error: Invalid value for '-i' / '--immutable': Path 'example.db' does not exist. However, running `datasette publish cloudrun example.db` not only works but seems to publish in immutable mode anyway! I'm seeing this both with `/-/databases.json` and the fact that downloads are working. When I just `datasette serve` locally, this succeeds both ways and works as expected.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1301/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 860734722,MDU6SXNzdWU4NjA3MzQ3MjI=,1302,Fix disappearing facets,192568,mroswell,open,0,,,,,0,2021-04-18T18:42:33Z,2021-04-20T07:40:15Z,,CONTRIBUTOR,,"1. Clone https://github.com/mroswell/list-N 2. Run `datasette disinfectants.db -o` 3. Select the `Safer_or_Toxic` facet. 4. Select `Toxic`. 5. Close out the `Safer_or_Toxic` facet. 6. Examine `Suggested facets` list. `Safer_or_Toxic` is GONE. 7. Try some other facets. When you select an element, and then close the list, in some cases, the facet properly returns to the `Suggested facet` list... Arrays and dates properly return to the list, but fields with strings don't return to the list. Since my site is devoted to whether disinfectants are Safer or Toxic, having the suggested facet disappear from the suggested facet list is very confusing* to end-users. This, along with a few other issues, unfortunately proved beyond my own programming ability to address. So I hired a Senior-level developer to address a number of issues, including this disappearing act. 8. Open a new terminal. Run `datasette disinfectants.db -m metadata.json --static static:static/ --template-dir templates/ --plugins-dir plugins/ -p 8001 -o` 9. Repeat steps 3-6, but this time, the Safer_or_Toxic facet returns to the list (and the related URL parameters are removed). I'm not sure how to do a pull request for this, because the plugin contains other functionality that goes beyond this bug. I wanted the facets sorted in a certain order (both in the suggested facet list, and the detail lists) (... the detail lists were hopping around all over the place before...) I wanted the duplicate facets removed (leaving only the one where you can facet by individual item in an array.) I wanted the arrays to be presented in a prettier fashion (I did that in the template... That could be moved over to the plugin at some point) I'm thinking it'll be very helpful if applicable parts of my project's plugin (sort_suggested_facets_plugin.py) will be able to be incorporated back into datasette, but I leave that to you to consider. (* The disappearing facet bug was especially confusing because I'm removing the filters and sql from the table page, at the request of the organization. The filters and sql detail created a lot of confusion for end users who try to find disinfectants used by Hospitals, for instance, as an '=' won't find them, since they are part of the Use_site array.) My disappearing-facet confusion was documented in my own issue: https://github.com/mroswell/list-N/issues/57 (addressed by the plugin). Other facet-related issues here: https://github.com/mroswell/list-N/issues/54 (addressed by the plugin); https://github.com/mroswell/list-N/issues/15 (addressed by template); https://github.com/mroswell/list-N/issues/53 (not yet addressed). ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1302/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 904598267,MDExOlB1bGxSZXF1ZXN0NjU1NzQxNDI4,1348,DRAFT: add test and scan for docker images,10801138,blairdrummond,open,0,,,,,2,2021-05-28T03:02:12Z,2021-05-28T03:06:16Z,,CONTRIBUTOR,simonw/datasette/pulls/1348,"**NOTE: I don't think this PR is ready, since the arm/v6 and arm/v7 images are failing pytest due to missing dependencies (gcc and friends). But it's pretty close.** Closes https://github.com/simonw/datasette/issues/1344 . Using a build-matrix for the platforms and [this test](https://github.com/simonw/datasette/issues/1344#issuecomment-849820019), we test all the platforms in parallel. I also threw in container scanning. ### Switch `pip install` to use either tags or commit shas Notably! This also [changes the Dockerfile](https://github.com/blairdrummond/datasette/blob/7fe5315d68e04fce64b5bebf4e2d7feec44f8546/Dockerfile#L20) so that it accepts tags or commit-shas. ``` # It's backwards compatible with tags, but also lets you use shas root@712071df17af:/# pip install git+git://github.com/simonw/datasette.git@0.56 Collecting git+git://github.com/simonw/datasette.git@0.56 Cloning git://github.com/simonw/datasette.git (to revision 0.56) to /tmp/pip-req-build-u6dhm945 Running command git clone -q git://github.com/simonw/datasette.git /tmp/pip-req-build-u6dhm945 Running command git checkout -q af5a7f1c09f6a902bb2a25e8edf39c7034d2e5de Collecting Jinja2<2.12.0,>=2.10.3 Downloading Jinja2-2.11.3-py2.py3-none-any.whl (125 kB) ``` This lets you build the containers in CI every push for testing, which maybe resolves [this problem](https://github.com/simonw/datasette/issues/1272#issuecomment-808648974)? # Workflow run example You can see the results in my workflow [here](https://github.com/blairdrummond/datasette/pull/2/checks?check_run_id=2690570717). The commit history is different because I squashed this branch, also in the testing branch I had to change `github.com/simonw` to `github.com/blairdrummond` for the CI to pick up my git_sha. ## Why did the builds fail? **NOTE:** The results of all the tests fail, but for different reasons! A few fail to install Rust, the amd64 passes the tests (phew!) but has critical CVEs which fail the container scan, the Arm/v6 and Arm/v7 seem to fail to install the test dependencies due to missing programs like `gcc`. (`gcc` is not sufficient though, as [this run](https://github.com/blairdrummond/datasette/pull/3/checks?check_run_id=2690672982) indicates) ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1348/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 950664971,MDU6SXNzdWU5NTA2NjQ5NzE=,1401,unordered list is not rendering bullet points in description_html on database page,536941,fgregg,open,0,,,,,2,2021-07-22T13:24:18Z,2021-10-23T13:09:10Z,,CONTRIBUTOR,,"Thanks for this tremendous package, @simonw! In the `description_html` for a database, I [have an unordered list](https://github.com/labordata/warehouse/blob/fcea4502e5b615b0eb3e0bdcb45ec634abe20bb6/warehouse_metadata.yml#L19-L22). However, on the database page on the deployed site, it is not rendering this as a bulleted list. ![Screenshot 2021-07-22 at 09-21-51 nlrb](https://user-images.githubusercontent.com/536941/126645923-2777b7f1-fd4c-4d2d-af70-a35e49a07675.png) Page here: https://labordata-warehouse.herokuapp.com/nlrb-9da4ae5 The documentation gives an [example of using an unordered list](https://docs.datasette.io/en/stable/metadata.html#using-yaml-for-metadata) in a `description_html`, so I expected this will work.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1401/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 951185411,MDU6SXNzdWU5NTExODU0MTE=,1402,feature request: social meta tags,536941,fgregg,open,0,,,,,2,2021-07-23T01:57:23Z,2021-07-26T19:31:41Z,,CONTRIBUTOR,,"it would be very nice if the twitter, slack, and other social media could make rich cards when people post a link to a datasette instance ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1402/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 959137143,MDU6SXNzdWU5NTkxMzcxNDM=,1415,feature request: document minimum permissions for service account for cloudrun,536941,fgregg,open,0,,,,,4,2021-08-03T13:48:43Z,2023-11-05T16:46:59Z,,CONTRIBUTOR,,"Thanks again for such a powerful project. For deploying to cloudrun from github actions, I'd like to create a service account with minimal permissions. It would be great to document what those minimum permission that need to be set in the IAM. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1415/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 959710008,MDU6SXNzdWU5NTk3MTAwMDg=,1419,`publish cloudrun` should deploy a more recent SQLite version,536941,fgregg,open,0,,,,,3,2021-08-04T00:45:55Z,2021-08-05T03:23:24Z,,CONTRIBUTOR,,"I recently changed from deploying a datasette using `datasette publish heroku` to `datasette publish cloudrun`. [A query that ran on the heroku site](https://odpr.bunkum.us/odpr-6c2f4fc?sql=with+pivot_members+as+%28%0D%0A++select%0D%0A++++f_num%2C%0D%0A++++max%28union_name%29+as+union_name%2C%0D%0A++++max%28aff_abbr%29+as+abbreviation%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2007%0D%0A++++%29+as+%222007%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2008%0D%0A++++%29+as+%222008%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2009%0D%0A++++%29+as+%222009%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2010%0D%0A++++%29+as+%222010%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2011%0D%0A++++%29+as+%222011%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2012%0D%0A++++%29+as+%222012%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2013%0D%0A++++%29+as+%222013%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2014%0D%0A++++%29+as+%222014%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2015%0D%0A++++%29+as+%222015%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2016%0D%0A++++%29+as+%222016%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2017%0D%0A++++%29+as+%222017%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2018%0D%0A++++%29+as+%222018%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2019%0D%0A++++%29+as+%222019%22%0D%0A++from%0D%0A++++lm_data%0D%0A++++left+join+ar_membership+using+%28rpt_id%29%0D%0A++where%0D%0A++++members+%21%3D+%27%27%0D%0A++++and+trim%28desig_name%29+%3D+%27NHQ%27%0D%0A++++and+union_name+not+in+%28%0D%0A++++++%27AFL-CIO%27%2C%0D%0A++++++%27CHANGE+TO+WIN%27%2C%0D%0A++++++%27FOOD+ALLIED+SVC+TRADES+DEPT+AFL-CIO%27%0D%0A++++%29%0D%0A++++and+f_num+not+in+%28387%2C+296%2C+123%2C+347%2C+531897%2C+30410%2C+49%29%0D%0A++++and+lower%28ar_membership.category%29+IN+%28%0D%0A++++++%27active+members%27%2C%0D%0A++++++%27active+professional%27%2C%0D%0A++++++%27regular+members%27%2C%0D%0A++++++%27full+time+member%27%2C%0D%0A++++++%27full+time+members%27%2C%0D%0A++++++%27active+education+support+professional%27%2C%0D%0A++++++%27active%27%2C%0D%0A++++++%27active+member%27%2C%0D%0A++++++%27members%27%2C%0D%0A++++++%27see+item+69%27%2C%0D%0A++++++%27regular%27%2C%0D%0A++++++%27dues+paying+members%27%2C%0D%0A++++++%27building+trades+journeyman%27%2C%0D%0A++++++%27full+per+capita+tax+payers%27%2C%0D%0A++++++%27active+postal%27%2C%0D%0A++++++%27active+membership%27%2C%0D%0A++++++%27full-time+member%27%2C%0D%0A++++++%27regular+active+member%27%2C%0D%0A++++++%27journeyman%27%2C%0D%0A++++++%27member%27%2C%0D%0A++++++%27journeymen%27%2C%0D%0A++++++%27one+half+per+capita+tax+payers%27%2C%0D%0A++++++%27schedule+1%27%2C%0D%0A++++++%27active+memebers%27%2C%0D%0A++++++%27active+members+-+us%27%2C%0D%0A++++++%27dues+paying+membership%27%0D%0A++++%29%0D%0A++GROUP+by%0D%0A++++f_num%0D%0A%29%0D%0Aselect%0D%0A++*%0D%0Afrom%0D%0A++pivot_members%0D%0Aorder+by%0D%0A++%222019%22+desc%3B), now throws a syntax error on the [cloudrun site](https://labordata.bunkum.us/odpr-6c2f4fc?sql=with+pivot_members+as+%28%0D%0A++select%0D%0A++++f_num%2C%0D%0A++++max%28union_name%29+as+union_name%2C%0D%0A++++max%28aff_abbr%29+as+abbreviation%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2007%0D%0A++++%29+as+%222007%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2008%0D%0A++++%29+as+%222008%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2009%0D%0A++++%29+as+%222009%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2010%0D%0A++++%29+as+%222010%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2011%0D%0A++++%29+as+%222011%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2012%0D%0A++++%29+as+%222012%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2013%0D%0A++++%29+as+%222013%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2014%0D%0A++++%29+as+%222014%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2015%0D%0A++++%29+as+%222015%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2016%0D%0A++++%29+as+%222016%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2017%0D%0A++++%29+as+%222017%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2018%0D%0A++++%29+as+%222018%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2019%0D%0A++++%29+as+%222019%22%0D%0A++from%0D%0A++++lm_data%0D%0A++++left+join+ar_membership+using+%28rpt_id%29%0D%0A++where%0D%0A++++members+%21%3D+%27%27%0D%0A++++and+trim%28desig_name%29+%3D+%27NHQ%27%0D%0A++++and+union_name+not+in+%28%0D%0A++++++%27AFL-CIO%27%2C%0D%0A++++++%27CHANGE+TO+WIN%27%2C%0D%0A++++++%27FOOD+ALLIED+SVC+TRADES+DEPT+AFL-CIO%27%0D%0A++++%29%0D%0A++++and+f_num+not+in+%28387%2C+296%2C+123%2C+347%2C+531897%2C+30410%2C+49%29%0D%0A++++and+lower%28ar_membership.category%29+IN+%28%0D%0A++++++%27active+members%27%2C%0D%0A++++++%27active+professional%27%2C%0D%0A++++++%27regular+members%27%2C%0D%0A++++++%27full+time+member%27%2C%0D%0A++++++%27full+time+members%27%2C%0D%0A++++++%27active+education+support+professional%27%2C%0D%0A++++++%27active%27%2C%0D%0A++++++%27active+member%27%2C%0D%0A++++++%27members%27%2C%0D%0A++++++%27see+item+69%27%2C%0D%0A++++++%27regular%27%2C%0D%0A++++++%27dues+paying+members%27%2C%0D%0A++++++%27building+trades+journeyman%27%2C%0D%0A++++++%27full+per+capita+tax+payers%27%2C%0D%0A++++++%27active+postal%27%2C%0D%0A++++++%27active+membership%27%2C%0D%0A++++++%27full-time+member%27%2C%0D%0A++++++%27regular+active+member%27%2C%0D%0A++++++%27journeyman%27%2C%0D%0A++++++%27member%27%2C%0D%0A++++++%27journeymen%27%2C%0D%0A++++++%27one+half+per+capita+tax+payers%27%2C%0D%0A++++++%27schedule+1%27%2C%0D%0A++++++%27active+memebers%27%2C%0D%0A++++++%27active+members+-+us%27%2C%0D%0A++++++%27dues+paying+membership%27%0D%0A++++%29%0D%0A++GROUP+by%0D%0A++++f_num%0D%0A%29%0D%0Aselect%0D%0A++*%0D%0Afrom%0D%0A++pivot_members%0D%0Aorder+by%0D%0A++%222019%22+desc%3B). I suspect this is because they are running different versions of sqlite3. - Heroku: sqlite3 3.31.1 ([-/versions](https://odpr.bunkum.us/-/versions)) - Cloudrun: sqlite3 3.27.2 ([-/versions](https://labordata.bunkum.us/-/versions)) If so, it would be great to 1. harmonize the sqlite3 versions across platforms 2. update the docker files so as to update the sqlite3 version for cloudrun",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1419/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 988552851,MDU6SXNzdWU5ODg1NTI4NTE=,1456,conda install results in non-functioning `datasette serve` due to out-of-date asgiref,51016,ctb,open,0,,,,,0,2021-09-05T16:59:55Z,2021-09-05T16:59:55Z,,CONTRIBUTOR,,"Over in https://github.com/ctb/2021-sourmash-datasette, I discovered that the following commands fail: ``` conda create -n datasette4 -y datasette=0.58.1 conda activate datasette4 datasette gathertax.db ``` with `ImportError: cannot import name 'WebSocketScope' from 'asgiref.typing'`. This appears to be because asgiref 3.3.4 doesn't have WebSocketScope, but later versions do - a simple ``` pip install asgiref==3.4.1 ``` fixes the problem for me, at least to the point where I can run datasette and poke around as usual. I note that over in the conda-forge recipe, https://github.com/conda-forge/datasette-feedstock/blob/master/recipe/meta.yaml pins asgiref to < 3.4.0, but I'm not sure why - so I'm not sure how to best resolve this issue :).",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1456/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 988556488,MDU6SXNzdWU5ODg1NTY0ODg=,1459,suggestion: allow `datasette --open` to take a relative URL,51016,ctb,open,0,,,,,1,2021-09-05T17:17:07Z,2021-09-05T19:59:15Z,,CONTRIBUTOR,,"(soft suggestion because I'm not sure I'm using datasette right yet) Over at https://github.com/ctb/2021-sourmash-datasette, I'm playing around with datasette, and I'm creating some static pages to send people to the right facets. There may well be better ways of achieving this end goal, and I will find out if so, I'm sure! But regardless I think it might be neat to support an option to allow `-o/--open` to take a relative URL, that then gets appended to the hostname and port. This would let me improve my documentation. I don't see any downsides, either, but 🤷 there may well be some :) Happy to dig in and provide a PR if it's of interest. I'm not sure off the top of my head how to support an optional value to a parameter in argparse - the current `-o` behavior is kinda nice so it'd be suboptimal to require a url for `-o`. Maybe `--open-url=` or something would work? ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1459/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 989109888,MDU6SXNzdWU5ODkxMDk4ODg=,1460,Override column metadata with metadata from another column,72577720,MichaelTiemannOSC,open,0,,,,,0,2021-09-06T12:13:33Z,2021-09-06T12:13:33Z,,CONTRIBUTOR,,"I have a table from the PUDL project (https://github.com/catalyst-cooperative/pudl) that looks like this: ``` CREATE TABLE fuel_ferc1 ( id INTEGER NOT NULL, record_id TEXT, utility_id_ferc1 INTEGER, report_year INTEGER, plant_name_ferc1 TEXT, fuel_type_code_pudl VARCHAR(7), fuel_unit VARCHAR(7), fuel_qty_burned FLOAT, fuel_mmbtu_per_unit FLOAT, fuel_cost_per_unit_burned FLOAT, fuel_cost_per_unit_delivered FLOAT, fuel_cost_per_mmbtu FLOAT, PRIMARY KEY (id), FOREIGN KEY(plant_name_ferc1, utility_id_ferc1) REFERENCES plants_ferc1 (plant_name_ferc1, utility_id_ferc1), CONSTRAINT fuel_ferc1_fuel_type_code_pudl_enum CHECK (fuel_type_code_pudl IN ('coal', 'oil', 'gas', 'solar', 'wind', 'hydro', 'nuclear', 'waste', 'unknown')), CONSTRAINT fuel_ferc1_fuel_unit_enum CHECK (fuel_unit IN ('ton', 'mcf', 'bbl', 'gal', 'kgal', 'gramsU', 'kgU', 'klbs', 'btu', 'mmbtu', 'mwdth', 'mwhth', 'unknown')) ); ``` Note that `fuel_unit` is a unit that **pint** can understand, and that `fuel_qty_burned` is a column of data that could be expressed in terms of actual units, not merely as a dimensionless number. Ditto the `fuel_cost_per_unit_...` columns. Is there a way to give a column a default metadata unit (such as *tons* or *USD/ton*) and then let that be overridden when the metadata in another column says *barrels* or *USD/gramsU*? @catalyst-cooperative",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1460/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 991191951,MDU6SXNzdWU5OTExOTE5NTE=,1464,clean checkout & clean environment has test failures,51016,ctb,open,0,,,,,6,2021-09-08T14:16:23Z,2021-09-13T22:17:17Z,,CONTRIBUTOR,,"I followed the instructions [here](https://docs.datasette.io/en/stable/contributing.html#setting-up-a-development-environment), and even after running `python update-docs-help.py` I get the following failed tests -- any thoughts? ``` FAILED tests/test_api.py::test_searchable[/fixtures/searchable.json?_search=te*+AND+do*&_searchmode=raw-expected_rows3] FAILED tests/test_api.py::test_searchmode[table_metadata1-_search=te*+AND+do*-expected_rows1] FAILED tests/test_api.py::test_searchmode[table_metadata2-_search=te*+AND+do*&_searchmode=raw-expected_rows2] ``` This is with python 3.9.7 and lots of other packages, as in attached environment listing from `conda list`. [conda-installed.txt](https://github.com/simonw/datasette/files/7129487/conda-installed.txt) ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1464/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 991206402,MDExOlB1bGxSZXF1ZXN0NzI5NzA0NTM3,1465,add support for -o --get /path,51016,ctb,open,0,,,,,0,2021-09-08T14:30:42Z,2021-09-08T14:31:45Z,,CONTRIBUTOR,simonw/datasette/pulls/1465,"Fixes https://github.com/simonw/datasette/issues/1459 Adds support for `--open --get /path` to be used in combination. If `--open` is provided alone, datasette will open a web page to a default URL. If `--get ` is provided alone, datasette will output the result of doing a GET to that URL and then exit. If `--open --get ` are provided together, datasette will open a web page to that URL. TODO items: - [ ] update documentation - [ ] print out error message when `--root --open --get ` is used - [ ] adjust code to require that `` start with a `/` when `-o --get ` is used - [ ] add test(s) note, '@CTB' is used in this PR to flag code that needs revisiting.",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1465/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1, 999902754,I_kwDOBm6k_c47mU4i,1473,base logo link visits `undefined` rather than href url,192568,mroswell,open,0,,,,,2,2021-09-18T04:17:04Z,2021-09-19T00:45:32Z,,CONTRIBUTOR,,"I have two connected sites: http://www.SaferOrToxic.org (a Hugo website) and: http://disinfectants.SaferOrToxic.org/disinfectants/listN (a datasette table page) The latter is linked as ""The List"" in the former's menu. (I'd love a prettier URL, but that's what I've got.) On: http://disinfectants.SaferOrToxic.org/disinfectants/listN ... all the other menu links should point back to: https://www.SaferOrToxic.org And they do! But the logo, for some reason--though it has an href pointing to: https://www.SaferOrToxic.org Keeps going to this instead: https://disinfectants.saferortoxic.org/disinfectants/undefined What is causing that? How can I fix it? In #1284 back in March, I was doing battle with the index.html template, in a still unresolved issue. (I wanted only a single table page at the root.) But I thought, well, if I can't resolve that, at least I could just point the main website to the datasette page (""The List,"") and then have the List point back to the home website. The menu hrefs to https://www.SaferOrToxic.org work just fine, exactly as they should, from the datasette page. Even the Home link works properly. But the logo link keeps rewriting to: https://disinfectants.saferortoxic.org/disinfectants/undefined This is the HTML: ``` ``` Is this somehow related to cloudflare? Or something in the datasette code? I'm starting to think it's a cloudflare issue. Can I at least rule out it being a datasette issue? My repository is here: https://github.com/mroswell/list-N (BTW, I couldn't figure out how to reference a local image, either, on the datasette side, which is why I'm using the image from the www home page.) ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1473/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1006781949,I_kwDOBm6k_c48AkX9,1478,Documentation Request: Feature alternative ID instead of default ID,192568,mroswell,open,0,,,,,0,2021-09-24T19:56:13Z,2021-09-25T16:18:54Z,,CONTRIBUTOR,,"My data already has an ID that comes from a federal agency. Would love to have documentation on how to modify the template to: - Remove the generated ID from the table - Link the federal ID to the detail page - and to ensure that the JSON file uses that as the ID. I'd be happy to include the database ID in the export, but not as a key. I don't want to remove the ID from the database, though, because my experience with the federal agency is that data often has anomalies. I don't want all hell to break loose if they end up applying the same ID to multiple rows (which they haven't done yet). I just don't want it to display in the table or the data exports. Perhaps this isn't a template issue, maybe more of a db manipulation... Margie",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1478/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1015646369,I_kwDOBm6k_c48iYih,1480,Exceeding Cloud Run memory limits when deploying a 4.8G database,110420,ghing,open,0,,,,,9,2021-10-04T21:20:24Z,2022-10-07T04:39:10Z,,CONTRIBUTOR,,"When I try to deploy a 4.8G SQLite database to Google Cloud Run, I get this error message: > Memory limit of 8192M exceeded with 8826M used. Consider increasing the memory limit, see https://cloud.google.com/run/docs/configuring/memory-limits Unfortunately, the maximum amount of memory that can be allocated to an instance is 8192M. Naively profiling the memory usage of running Datasette with this database locally on my MacBook shows the following memory usage (using Activity Monitor) when I just start up Datasette locally: - Real Memory Size: 70.6 MB - Virtual Memory Size: 4.51 GB - Shared Memory Size: 2.5 MB - Private Memory Size: 57.4 MB I'm trying to understand if there's a query or other operation that gets run during container deployment that causes memory use to be so large and if this can be avoided somehow. This is somewhat related to #1082, but on a different platform, so I decided to open a new issue.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1480/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1033678984,PR_kwDOBm6k_c4tjgJ8,1495,Allow routes to have extra options,536941,fgregg,open,0,,,,,5,2021-10-22T15:00:45Z,2021-11-19T15:36:27Z,,CONTRIBUTOR,simonw/datasette/pulls/1495,"Right now, datasette routes can only be a 2-tuple of `(regex, view_fn)`. If it was possible for datasette to handle extra options, like [standard Django does](https://docs.djangoproject.com/en/3.2/topics/http/urls/#passing-extra-options-to-view-functions), it would add flexibility for plugin authors. For example, if extra options were enabled, then it would be easy to make a single table the home page (#1284). This plugin would accomplish it. ```python from datasette import hookimpl from datasette.views.table import TableView @hookimpl def register_routes(datasette): return [ (r""^/$"", TableView.as_view(datasette), {'db_name': 'DB_NAME', 'table': 'TABLE_NAME'}) ] ``` ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1495/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1060631257,I_kwDOBm6k_c4_N_LZ,1528,"Add new `""sql_file""` key to Canned Queries in metadata?",15178711,asg017,open,0,,,,,3,2021-11-22T21:58:01Z,2022-06-10T03:23:08Z,,CONTRIBUTOR,,"Currently for canned queries, you have to inline SQL in your `metadata.yaml` like so: ```yaml databases: fixtures: queries: neighborhood_search: sql: |- select neighborhood, facet_cities.name, state from facetable join facet_cities on facetable.city_id = facet_cities.id where neighborhood like '%' || :text || '%' order by neighborhood title: Search neighborhoods ``` This works fine, but for a few reasons, I usually have my canned queries already written in separate `.sql` files. I'd like to instead re-use those instead of re-writing it. So, I'd like to see a new `""sql_file""` key that works like so: `metadata.yaml`: ```yaml databases: fixtures: queries: neighborhood_search: sql_file: neighborhood_search.sql title: Search neighborhoods ``` `neighborhood_search.sql`: ```sql select neighborhood, facet_cities.name, state from facetable join facet_cities on facetable.city_id = facet_cities.id where neighborhood like '%' || :text || '%' order by neighborhood ``` Both of these would work in the exact same way, where Datasette would instead open + include `neighborhood_search.sql` on startup. A few reasons why I'd like to keep my canned queries SQL separate from metadata.yaml: - Keeping SQL in standalone SQL files means syntax highlighting and other text editor integrations in my code - Multiline strings in yaml, while functional, are a tad cumbersome and are hard to edit - Works well with other tools (can pipe `.sql` files into the `sqlite3` CLI, or use with other SQLite clients easier) - Typically my canned queries are quite long compared to everything else in my metadata.yaml, so I'd love to separate it where possible Let me know if this is a feature you'd like to see, I can try to send up a PR if this sounds right!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1528/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1077620955,I_kwDOBm6k_c5AOzDb,1549,Redesign CSV export to improve usability,536941,fgregg,open,0,,,3268330,Datasette 1.0,5,2021-12-11T19:02:12Z,2022-04-04T11:17:13Z,,CONTRIBUTOR,,"*Original title: Set content type for CSV so that browsers will attempt to download instead opening in the browser* Right now, if the user clicks on the CSV related to a table or a query, the response header for the content type is ""content-type: text/plain; charset=utf-8"" Most browsers will try to open a file with this content-type in the browser. This is not what most people want to do, and lots of folks don't know that if they want to download the CSV and open it in the a spreadsheet program they next need to save the page through their browser. It would be great if the response header could be something like ``` 'Content-type: text/csv'); 'Content-disposition: attachment;filename=MyVerySpecial.csv'); ``` which would lead browsers to open a download dialog. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1549/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1079111498,I_kwDOBm6k_c5AUe9K,1553,if csv export is truncated in non streaming mode set informative response header,536941,fgregg,open,0,,,,,3,2021-12-13T22:50:44Z,2021-12-16T19:17:28Z,,CONTRIBUTOR,,"streaming mode is currently not enabled for custom queries, so the queries will be truncated to max row limit. it would be great if a response is truncated that an header signalling that was set in the header. i need to write some pagination code for getting full results back for a custom query and it would make the code much better if i could reliably known when there is nothing more to limit/offset ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1553/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1090810196,I_kwDOBm6k_c5BBHFU,1583,consider adding deletion step of cloudbuild artifacts to gcloud publish,536941,fgregg,open,0,,,,,1,2021-12-30T00:33:23Z,2021-12-30T00:34:16Z,,CONTRIBUTOR,,"right now, as part of the the publish process images and other artifacts are stored to gcloud's cloud storage before being deployed to cloudrun. after successfully deploying, it would be nice if the the script deleted these artifacts. otherwise, if you have regularly scheduled build process, you can end up paying to store lots of out of date artifacts.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1583/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1096536240,I_kwDOBm6k_c5BW9Cw,1586,run analyze on all databases as part of start up or publishing,536941,fgregg,open,0,,,,,1,2022-01-07T17:52:34Z,2022-02-02T07:13:37Z,,CONTRIBUTOR,,"Running `analyze;` lets sqlite's query planner make *much* better use of any indices. It might be nice if the analyze was run as part of the start up of ""serve"" or ""publish"".",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1586/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1108671952,I_kwDOBm6k_c5CFP3Q,1605,Scripted exports,25778,eyeseast,open,0,,,,,10,2022-01-19T23:45:55Z,2022-11-30T15:06:38Z,,CONTRIBUTOR,,"Posting this while I'm thinking about it: I mentioned at the end of [this thread](https://twitter.com/eyeseast/status/1483893011658551299) that I'm usually doing `datasette --get` to export canned queries. I used to use a tool called [datafreeze](https://github.com/pudo/datafreeze) to do scripted exports, but that project looks dead now. The ergonomics of it are pretty nice, though, and the `Freezefile.yml` structure is actually not too far from Datasette's canned queries. This is related to the idea for `datasette query` (#1356) but I think it's a distinct feature. It's most likely a plugin, but I want to raise it here because it's probably something other people have thought about.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1605/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1160034488,I_kwDOCGYnMM5FJLi4,411,Support for generated columns,25778,eyeseast,open,0,,,,,8,2022-03-04T20:41:33Z,2022-03-11T22:32:43Z,,CONTRIBUTOR,,"This is a fairly new feature -- SQLite version 3.31.0 (2020-01-22) -- that I, admittedly, haven't gotten to work yet. But it looks _incredibly_ useful: https://dgl.cx/2020/06/sqlite-json-support I'm not sure if this is an option on `add-column` or a separate command like `add-generated-column`. Either way, it needs an argument to populate it. It could be something like this: ```sh sqlite-utils add-column data.db table-name generated --as 'json_extract(data, ""$.field"")' --virtual ``` More here: https://www.sqlite.org/gencol.html",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/411/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1163369515,I_kwDOBm6k_c5FV5wr,1655,query result page is using 400mb of browser memory 40x size of html page and 400x size of csv data,536941,fgregg,open,0,,,,,8,2022-03-09T00:56:40Z,2023-10-17T21:53:17Z,,CONTRIBUTOR,,"[this page](https://labordata.bunkum.us/opdr-8335ea3?sql=with+most_recent_lu+as+%28%0D%0A++select%0D%0A++++*%0D%0A++from%0D%0A++++%28%0D%0A++++++select%0D%0A++++++++*%0D%0A++++++from%0D%0A++++++++lm_data%0D%0A++++++order+by%0D%0A++++++++f_num%2C%0D%0A++++++++receive_date+desc%0D%0A++++%29+t%0D%0A++group+by%0D%0A++++f_num%0D%0A%29%0D%0Aselect%0D%0A++aff_abbr+%7C%7C+coalesce%28%27+local+%27+%7C%7C+desig_num%2C+%27+%27+%7C%7C+unit_name%29+as+abbr_local_name%2C%0D%0A++coalesce%28%0D%0A++++regexp_match%28%27%28.*%3F%29%28%2C%3F+AFL-CIO%24%29%27%2C+union_name%29%2C%0D%0A++++regexp_match%28%27%28.*%3F%29%28+IND%24%29%27%2C+union_name%29%2C%0D%0A++++union_name%0D%0A++%29+%7C%7C+coalesce%28%27+local+%27+%7C%7C+desig_num%2C+%27+%27+%7C%7C+unit_name%29+as+full_local_name%2C%0D%0A++*%0D%0Afrom%0D%0A++most_recent_lu%0D%0Awhere+%28desig_num+IS+NOT+NULL+OR+unit_name+IS+NOT+NULL%29+AND+desig_name+%21%3D+%27HQ%27%0D%0Alimit%0D%0A++5000+offset+0) is using about 400 mb in firefox 97 on mac os x. if you download the html for the page, it's about 11mb and if you get the csv for the data its about 1mb. it's using over a 1G on chrome 99. i found this because, i was trying to figure out why editing the SQL was getting very slow. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1655/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1182227211,I_kwDOBm6k_c5Gd1sL,1692,[plugins][feature request]: Support additional script tag attributes when loading custom JS,9020979,hydrosquall,open,0,,,,,2,2022-03-27T01:16:03Z,2022-03-30T06:14:51Z,,CONTRIBUTOR,,"## Motivation - The build system for my new [plugin](https://github.com/hydrosquall/datasette-nteract-data-explorer) has two output JS files, one for browsers that support ES modules, one for browsers that don't. At present, I'm only passing one of them into Datasette. - I'd like to specify the non-es-module script as a fallback for older browsers. I don't want to load it by default, because browsers will only need one, and it's heavy, so for now I'm only supporting modern browsers. To be able to support legacy browsers without slowing down users with modern browsers, I would like to be able to set additional HTML attributes on the tag fallback script, `nomodule` and `defer`. My injected scripts should look something like this: ```html ``` ## Proposal To achieve this, I propose additional optional properties to the API accepted by the `extra_js_urls` hook and custom JS field the `metadata.json` [described here](https://docs.datasette.io/en/stable/custom_templates.html#custom-css-and-javascript). Under this API, I'd write something like this to get the above HTML rendered in Datasette. ```json { ""extra_js_urls"": [ { ""url"": ""/index.my-es-module-bundle.js"", ""module"": true, }, { ""url"": ""/index.my-legacy-fallback-bundle.js"", ""nomodule"": """", ""defer"": true } ] } ``` ## Resources - [MDN on the script tag](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/script) - There may be other properties that could be added that are potentially valuable, like `async` or `referrerpolicy`, but I don't have an immediate need for those.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1692/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1193090967,I_kwDOBm6k_c5HHR-X,1699,Proposal: datasette query,25778,eyeseast,open,0,,,,,6,2022-04-05T12:36:43Z,2022-04-11T01:32:12Z,,CONTRIBUTOR,,"I started sketching out a plugin to add a `datasette query` subcommand to export data from the command line. This is based on discussions in #1356 and #1605. Before I get too far down this rabbit hole, I figure it's worth getting some feedback here (unless this should happen in `Discussions`). Here's what I'm thinking: At its most basic, it will write the results of a query to STDOUT. ```sh datasette query -d data.db 'select * from data' > results.json ``` This isn't much improvement over using [sqlite-utils](https://github.com/simonw/sqlite-utils). To make better use of datasette and its ecosystem, run `datasette query` using a canned query defined in a `metadata.yml` file. For example, using the metadata file from [alltheplaces-datasette](https://github.com/eyeseast/alltheplaces-datasette/blob/main/metadata.yml): ```sh cd alltheplaces-datasette datasette query -d alltheplaces.db -m metadata.yml count_by_spider ``` That query would be good to get as CSV, and we can auto-discover metadata and databases in the current directory: ```sh cd alltheplaces-datasette datasette query count_by_spider -f csv ``` In this case, `count_by_spider` is a canned query defined on the `alltheplaces` database. If the same query is defined on multiple databases or its otherwise unclear which database `query` should use, pass the `-d` or `--database` option. If a query takes parameters, I can pass them in at runtime, using the `--param` or `-p` option: ```sh datasette query -d data.db -p value something 'select * from neighborhoods where some_column = :value' ``` I'm very interested in feedback on this, including whether it should be a plugin or in Datasette core. (I don't have a strong opinion about this, but I'm prototyping it as a plugin to start.)",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1699/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1198822563,I_kwDOBm6k_c5HdJSj,1706,"[feature] immutable mode for a directory, not just individual sqlite file",9020979,hydrosquall,open,0,,,,,4,2022-04-10T00:50:57Z,2022-12-09T19:11:40Z,,CONTRIBUTOR,,"## Motivation - I have a directory of sqlite databases - I'd like to use immutable mode when opening them for better performance [docs](https://docs.datasette.io/en/0.54/performance.html#immutable-mode) - Currently using this flag throws the following error IsADirectoryError: [Errno 21] Is a directory: '/name-of-directory' ## Proposal Immutable flag works for both single files and directories datasette -i /folder-of-sqlite-files",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1706/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1200224939,I_kwDOBm6k_c5Hifqr,1707,[feature] expanded detail page,536941,fgregg,open,0,,,,,1,2022-04-11T16:29:17Z,2022-04-11T16:33:00Z,,CONTRIBUTOR,,"Right now, if click on the detail page for a row you get the info for the row and links to related tables: ![Screenshot 2022-04-11 at 12-27-26 lm20 filing](https://user-images.githubusercontent.com/536941/162786802-90ac1a71-4624-47c4-ae55-b783f4f6c92d.png) It would be very cool if there was an option to expand the rows of the related tables from within this detail view. If you had that then datasette could fulfill a pretty common use case where you want to search for an entity and get a consolidate detail view about what you know about that entity. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1707/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1310243385,I_kwDOCGYnMM5OGLo5,456,feature request: pivot command,536941,fgregg,open,0,,,,,5,2022-07-20T00:58:08Z,2022-07-20T17:50:50Z,,CONTRIBUTOR,,pivoting long-format table to wide-format tables is pretty common and kind of pain. would love to see this feature in sqlite-utils!,140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/456/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1324659241,I_kwDOCGYnMM5O9LIp,459,Single quoted transform recipes on Windows do not work as expected ,19921,shakeel,open,0,,,,,0,2022-08-01T16:14:54Z,2022-08-01T16:14:54Z,,CONTRIBUTOR,,"Trying to follow the tutorial for sqlite-utils and datasette https://datasette.io/tutorials/clean-data on Windows 11 OS `Microsoft Windows [Version 10.0.22622.440]`, with sqlite-utils and datasette installed using pipx. ``` pipx list package datasette 0.61.1, installed using Python 3.10.4 - datasette.exe package sqlite-utils 3.28, installed using Python 3.10.4 - sqlite-utils.exe ``` In the step to transform dates into ISO dates the quoted value `'r.parsedatetime(value)'` is copied verbatim into the columns instead of applying the output of the Python recipe. ``` sqlite-utils convert manatees.db locations \ REPDATE created_date last_edited_date \ 'r.parsedatetime(value)' --dry-run 1975/01/31 00:00:00+00 --- becomes: r.parsedatetime(value) Would affect 13568 rows ``` However, if I change the code from single quotes to double quotes, it works as expected. ``` sqlite-utils convert manatees.db locations \ REPDATE created_date last_edited_date \ ""r.parsedatetime(value)"" --dry-run 1975/01/31 00:00:00+00 --- becomes: 1975-01-31T00:00:00+00:00 Would affect 13568 rows ``` Specifying the transform code recipe should work with single quotes on Windows.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/459/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1355193529,I_kwDOCGYnMM5Qxpy5,479,OperationalError: cannot VACUUM from within a transaction,7908073,chapmanjacobd,open,0,,,,,0,2022-08-30T05:34:24Z,2022-08-30T05:34:24Z,,CONTRIBUTOR,,"Maybe when calling `.vacuum()` and other DB-level write-lock operations `sqlite_utils` could guard against this error message by automatically committing first? ``` 46 db[""media""].optimize() # type: ignore ---> 47 db.vacuum() File ~/.local/lib/python3.10/site-packages/sqlite_utils/db.py:1047, in Database.vacuum(self) 1045 def vacuum(self): 1046 ""Run a SQLite ``VACUUM`` against the database."" -> 1047 self.execute(""VACUUM;"") File ~/.local/lib/python3.10/site-packages/sqlite_utils/db.py:470, in Database.execute(self, sql, parameters) 468 return self.conn.execute(sql, parameters) 469 else: --> 470 return self.conn.execute(sql) OperationalError: cannot VACUUM from within a transaction ``` It might also be nice to add a sentence or two about how transactions are committed on the [docs page](https://sqlite-utils.datasette.io/en/latest/python-api.html#detect-fts). When I was swapping out my sqlite3 code for this library it was nice that everything was pretty much drop-in but I was/am unsure what to do about the places I explicitly call `.commit()` in my code Related to https://github.com/simonw/sqlite-utils/issues/121",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/479/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1393202060,I_kwDOCGYnMM5TCpOM,496,devrel/python api: Pylance type hinting,7908073,chapmanjacobd,open,0,,,,,4,2022-10-01T03:03:34Z,2023-05-03T05:53:27Z,,CONTRIBUTOR,,"Pylance is generally pretty good at figuring out stuff but `sqlite-utils` has some quirks which make type hinting kinda useless. Maybe you don't care but I thought I would bring it to your attention. For example: ``` db[""subs""].insert_all(subs, pk=""index"") ``` ``` Cannot access member ""insert_all"" for type ""View"" Member ""insert_all"" is unknown ``` `insert_all` and all the other methods show up as a type issues because the program can't know whether something is a View or a Table. Fair enough. But that basically throws all type checking out the window. `pk=""index""` also shows up as a type issue: ``` Argument of type ""Literal['index']"" cannot be assigned to parameter ""pk"" of type ""Default"" in function ""insert_all"" ""Literal['index']"" is incompatible with ""Default"" ``` I think this is because DEFAULT is an empty class? maybe a few small changes could be made to make the library more type-friendly The interim solution is of course to turn off type hints completely for the line ``` db[""subs""].insert_all(subs, pk=""index"") # type: ignore ``` ",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/496/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1400374908,I_kwDOBm6k_c5TeAZ8,1836,docker image is duplicating db files somehow,536941,fgregg,open,0,,,,,13,2022-10-06T22:35:54Z,2022-10-08T16:56:51Z,,CONTRIBUTOR,,"if you look into the docker image created by docker publish, the `datasette inspect` line is duplicating the db files. here's the result of the inspect command: ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1836/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1405196044,PR_kwDOCGYnMM5AmYzy,499,feat: recreate fts triggers after table transform,7908073,chapmanjacobd,open,0,,,,,2,2022-10-11T20:35:39Z,2022-10-26T17:54:51Z,,CONTRIBUTOR,simonw/sqlite-utils/pulls/499,"https://github.com/simonw/sqlite-utils/pull/498 ---- :books: Documentation preview :books:: https://sqlite-utils--499.org.readthedocs.build/en/499/ alternatively, `self.disable_fts()`",140912432,sqlite-utils,pull,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/499/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1410548368,I_kwDODFdgUs5UE0KQ,77,Feature: Support GitHub discussions,631242,frosencrantz,open,0,,,,,0,2022-10-16T16:53:38Z,2022-10-16T16:53:38Z,,CONTRIBUTOR,,"Hi @simonw I've been a happy user of this tool. Thank you for writing it and sharing it. I wanted to suggest a feature request to support Discussions. For example the VisiData project has discussions https://github.com/saulpw/visidata/discussions , and it would be useful if there was a way to pull that data into the database. However, I'm not offering a pull request.",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/77/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1426379903,PR_kwDOBm6k_c5BtJNn,1870,"don't use immutable=1, only mode=ro",536941,fgregg,open,0,,,,,7,2022-10-27T23:33:04Z,2023-10-03T19:12:37Z,,CONTRIBUTOR,simonw/datasette/pulls/1870,"Opening db files in immutable mode sometimes leads to the file being mutated, which causes duplication in the docker image layers: see #1836, #1480 That this happens in ""immutable"" mode is surprising, because the sqlite docs say that setting this should open the database as read only. https://www.sqlite.org/c3ref/open.html > immutable: The immutable parameter is a boolean query parameter that indicates that the database file is stored on read-only media. When immutable is set, SQLite assumes that the database file cannot be changed, even by a process with higher privilege, and so the database is opened read-only and all locking and change detection is disabled. Caution: Setting the immutable property on a database file that does in fact change can result in incorrect query results and/or [SQLITE_CORRUPT](https://www.sqlite.org/rescode.html#corrupt) errors. See also: [SQLITE_IOCAP_IMMUTABLE](https://www.sqlite.org/c3ref/c_iocap_atomic.html). Perhaps this is a bug in sqlite? ---- :books: Documentation preview :books:: https://datasette--1870.org.readthedocs.build/en/1870/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1870/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1439009231,I_kwDOBm6k_c5VxYnP,1884,Exclude virtual tables from datasette inspect,25778,eyeseast,open,0,,,,,6,2022-11-07T21:26:01Z,2022-11-21T04:40:56Z,,CONTRIBUTOR,,"Ran `inspect` on a spatialite database and got these warnings: ``` ERROR: conn=, sql = 'select count(*) from [SpatialIndex]', params = None: no such module: VirtualSpatialIndex ERROR: conn=, sql = 'select count(*) from [ElementaryGeometries]', params = None: no such module: VirtualElementary ERROR: conn=, sql = 'select count(*) from [KNN]', params = None: no such module: VirtualKNN ``` It still worked, but probably want to catch this. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1884/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1469796454,I_kwDOBm6k_c5Xm1Bm,1920,Document Datasette.metadata() method,25778,eyeseast,open,0,,,,,0,2022-11-30T15:10:36Z,2022-11-30T15:10:36Z,,CONTRIBUTOR,,"Code is here: https://github.com/simonw/datasette/blob/main/datasette/app.py#L503 This will be the official way to access metadata from plugins.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1920/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1469821027,I_kwDOBm6k_c5Xm7Bj,1921,Document methods to get canned queries,25778,eyeseast,open,0,,,,,0,2022-11-30T15:26:33Z,2022-11-30T23:34:21Z,,CONTRIBUTOR,,"Two methods will get canned queries for a Datasette instance: [`Datasette.get_canned_queries`](https://github.com/simonw/datasette/blob/main/datasette/app.py#L575) will return all canned queries for a database that an `actor` can see. [`Datasette.get_canned_query`](https://github.com/simonw/datasette/blob/main/datasette/app.py#L592) will return a single canned query by name. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1921/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1509783085,I_kwDOBm6k_c5Z_XYt,1969,sql-formatter javascript is not now working with CloudFlare rocketloader,536941,fgregg,open,0,,,,,0,2022-12-23T21:14:06Z,2023-01-10T01:56:33Z,,CONTRIBUTOR,,"This is probably not a bug with datasette, but I thought you might want to know, @simonw. I noticed today that my CloudFlare proxied datasette instance lost the ""Format SQL"" option. I'm pretty sure it was there last week. In the CloudFlare settings, if I turn off [Rocket Loader](https://developers.cloudflare.com/fundamentals/speed/rocket-loader/), I get the ""Format SQL"" option back. Rocket Loader works by asynchronously loading the javascript, so maybe there was a recent change that doesn't play well with the asynch loading? I'm up to date with https://github.com/simonw/datasette/commit/e03aed00026cc2e59c09ca41f69a247e1a85cc89",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1969/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1515815014,I_kwDOBm6k_c5aWYBm,1973,render_cell plugin hook's row object is not a sqlite.Row,193185,cldellow,open,0,,,,,4,2023-01-01T20:27:46Z,2023-01-29T00:40:31Z,,CONTRIBUTOR,,"From https://docs.datasette.io/en/stable/plugin_hooks.html#render-cell-row-value-column-table-database-datasette: > row - sqlite.Row > The SQLite row object that the value being rendered is part of This appears to actually be a [CustomRow](https://github.com/simonw/datasette/blob/f0fadc28ddb9f82e5cc1ecaa51e8a342eb6dc528/datasette/utils/__init__.py#L773-L789), but I think that's unrelated to my issue. I have a table: ```sql CREATE TABLE IF NOT EXISTS ""dss_job_stats""( job_id integer not null references dss_job(id) on delete cascade, host text not null, // other columns elided as irrelevant primary key (job_id, host) ); ``` On datasette 0.63.2, the `render_cell` hook receives a `row` value that looks like: ``` CustomRow([('job_id', {'value': 2, 'label': '2'}), ('host', 'cldellow.com')]) ``` I expected the `job_id` value to be `2`, but it's actually `{'value': 2, 'label': '2'}`. I can work around this, but was wondering if this was intended behaviour?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1973/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1538342965,PR_kwDOBm6k_c5HpNYo,1996,Document custom json encoder,25778,eyeseast,open,0,,,,,1,2023-01-18T16:54:14Z,2023-01-19T12:55:57Z,,CONTRIBUTOR,simonw/datasette/pulls/1996,"Closes #1983 All documentation here. Edits welcome. ---- :books: Documentation preview :books:: https://datasette--1996.org.readthedocs.build/en/1996/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1996/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1552368054,I_kwDOBm6k_c5ch0G2,2000,rewrite_sql hook,193185,cldellow,open,0,,,,,1,2023-01-23T01:02:52Z,2023-01-23T06:08:01Z,,CONTRIBUTOR,,"I'm not sold that this is a good idea, but thought it'd be worth writing up a ticket. Proposal: add a hook like ```python def rewrite_sql(datasette, database, request, fn, sql, params) ``` It would be called from Database.execute, Database.execute_write, Database.execute_write_script, Database.execute_write_many before running the user's SQL. `fn` would indicate which method was being used, in case that's relevant for the SQL inspection -- for example `execute` only permits a single statement. The hook could return a SQL statement to be executed instead, or an async function to be awaited on that returned the SQL to be executed. Plugins that could be written with this hook: - https://github.com/cldellow/datasette-ersatz-table-valued-functions would use this to avoid monkey-patching - a plugin to inspect and reject unsafe Spatialite function calls (reported by [Simon in Discord](https://discord.com/channels/823971286308356157/823971286941302908/1066438832293159004)) - a plugin to do more general rewrites of queries to enforce table or row-level security, for example, based on the currently logged in actor's ID - a plugin to maintain audit tables when users write to a table - a plugin to cache expensive queries (eg the queries that drive facets) - these could allow stale reads if previously cached, then refresh them in an offline queue Flaws with this idea: `execute_fn` and `execute_write_fn` would not go through this hook, which limits the guarantees you can make about it for security purposes.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2000/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1555701851,PR_kwDOBm6k_c5IdsD7,2003,Show referring tables and rows when the referring foreign key is compound,536941,fgregg,open,0,,,,,3,2023-01-24T21:31:31Z,2023-01-25T18:44:42Z,,CONTRIBUTOR,simonw/datasette/pulls/2003,"sqlite foreign keys can be compound, but that is not as well supported by datasette as single column foreign keys. in particular, 1. in a table view, there is not a link from the row to the referenced row if the foreign key is compound 2. in a row view, there is no listing of tables and rows that refer to the focal row if those referencing foreign keys are compound. Both of these issues are discussed in #1099. This PR only fixes the second one, because it's not clear what the right UX is for the first issue. ![Screenshot 2023-01-24 at 19-47-40 nlrb bargaining_unit](https://user-images.githubusercontent.com/536941/214454749-d53deead-4151-4329-a5d4-8a7a454de7d3.png) Some things that might not be desirable about this approach. 1. it changes the external API, by changing `column` => `columns` and `other_column` => `other_columns` (see inline comment for more discussion. 2. There are various places where the plural foreign keys have to be checked for length and discarded or transformed to singular. ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2003/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1556065335,PR_kwDOBm6k_c5Ie5nA,2004,"use single quotes for string literals, fixes #2001",193185,cldellow,open,0,,,,,1,2023-01-25T05:08:46Z,2023-02-01T06:37:18Z,,CONTRIBUTOR,simonw/datasette/pulls/2004,"This modernizes some uses of double quotes for string literals to use only single quotes, fixes simonw/datasette#2001 While developing it, I manually enabled the stricter mode by using the code snippet at https://gist.github.com/cldellow/85bba507c314b127f85563869cd94820 I think that code snippet isn't generally safe/portable, so I haven't tried to automate it in the tests. ---- :books: Documentation preview :books:: https://datasette--2004.org.readthedocs.build/en/2004/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2004/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1560651350,I_kwDOCGYnMM5dBaZW,523,Feature request: trim all leading and trailing white space for all columns for all tables in a database,536941,fgregg,open,0,,,,,1,2023-01-28T02:40:10Z,2023-01-28T02:41:14Z,,CONTRIBUTOR,,"It's pretty common that i need to trim leading or trailing white space from lots of columns in a database a part of an initial ETL. I use the following recipe a lot, and it would be great to include this functionality into sqlite-utils `trimify.sql` ```sql select 'select group_concat(''update [' || name || '] set ['' || name || ''] = trim(['' || name || ''])'', ''; '') || ''; '' as sql_to_run from pragma_table_info('''||name||''');' from sqlite_schema; ``` then something like: ```bash sqlite3 example.db < scripts/trimify.sql > table_trim.sql && \ sqlite3 $example.db < table_trim.sql > trim.sql && \ sqlite3 $example.db < trim.sql ```",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/523/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1560982210,PR_kwDOBm6k_c5IvYKw,2008,array facet: don't materialize unnecessary columns,193185,cldellow,open,0,,,,,8,2023-01-28T19:33:40Z,2023-01-29T18:17:40Z,,CONTRIBUTOR,simonw/datasette/pulls/2008,"The presence of `inner.*` causes SQLite to materialize a row with all the columns. Those columns will be discarded later. Instead, we can select only the column we'll use. This lets SQLite's optimizer realize that the other columns in the CTE definition aren't needed. On a test table with 278K rows, 98K of which had an array, this speeds up the facet calculation from 4 sec to 1 sec. ---- :books: Documentation preview :books:: https://datasette--2008.org.readthedocs.build/en/2008/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2008/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1565179870,I_kwDOBm6k_c5dSr_e,2013,Datasette uses non-standard quoting for identifiers,193185,cldellow,open,0,,,,,0,2023-02-01T00:05:39Z,2023-02-01T00:06:30Z,,CONTRIBUTOR,,"Related to #2001, but where #2001 was about literals, this is about identifiers From https://www.sqlite.org/lang_keywords.html: > ""keyword"" A keyword in double-quotes is an identifier. > [keyword] A keyword enclosed in square brackets is an identifier. This is not standard SQL. This quoting mechanism is used by MS Access and SQL Server and is included in SQLite for compatibility. Datasette uses this quoting here -- https://github.com/simonw/datasette/blob/0b4a28691468b5c758df74fa1d72a823813c96bf/datasette/utils/__init__.py#L345-L349, in some of the other DB access code, and in some of the test fixtures. Migrating to standard double quote identifiers would make it easier to get Datasette working with alternative backends",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2013/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1571711808,I_kwDOBm6k_c5drmtA,2018,`check_visibility` gives confusing (wrong?) results if permission is `None`,193185,cldellow,open,0,,,,,0,2023-02-06T01:03:08Z,2023-02-06T01:03:46Z,,CONTRIBUTOR,,"I'm trying to gate access to an edit UI on the user having `update-row` on the underlying view or table. I expected [datasette.check_visibility](https://docs.datasette.io/en/latest/internals.html#await-check-visibility-actor-action-none-resource-none-permissions-none) to be a good way to do this: ```python visible, private = await datasette.check_visibility( request.actor, permissions=[ (""update-row"", (database, table)), ], ) if not visible: return None ``` But `visible` is returning true, even when there is no explicit `update-row` permission. (In this case, `request.actor` is `None`.) Based on [the update-row permissions docs](https://docs.datasette.io/en/latest/authentication.html#update-row), I expected this to be default deny, and so no explicit permission would result in false. I think the root cause is that `check_visibility` calls `ensure_permissions` and expects it to throw if the permission is not available. But `ensure_permissions` does not throw when `permission_allowed` returns None: https://github.com/simonw/datasette/blob/1.0a2/datasette/app.py#L825-L829",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2018/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1595340692,I_kwDOCGYnMM5fFveU,530,"add ability to configure ""on delete"" and ""on update"" attributes of foreign keys:",536941,fgregg,open,0,,,,,2,2023-02-22T15:44:14Z,2023-05-08T20:39:01Z,,CONTRIBUTOR,,"sqlite supports these, and it would be quite nice to be able to add them with sqlite-utils. https://www.sqlite.org/foreignkeys.html#fk_actions",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/530/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1605959201,I_kwDOBm6k_c5fuP4h,2032,datasette errors when foreign key integrity is enabled,193185,cldellow,open,0,,,,,0,2023-03-02T01:27:51Z,2023-03-02T01:31:58Z,,CONTRIBUTOR,,"By default, [SQLite does not enforce foreign key constraints](https://www.sqlite.org/foreignkeys.html#fk_enable). I typically enable these checks by running: ```sql PRAGMA foreign_keys = ON; ``` inside of a `prepare_connection` hook. If a plugin causes the schema to change (eg datasette-scraper creating a new table, or datasette-edit-schema changing a column), then https://github.com/simonw/datasette/blob/0b4a28691468b5c758df74fa1d72a823813c96bf/datasette/utils/internal_db.py#L71-L77 will fail with: ``` FOREIGN KEY constraint failed ``` This could be resolved by either: - deleting from the `tables` column last - changing the schema so that the foreign keys have [ON DELETE CASCADE](https://www.sqlite.org/foreignkeys.html#fk_actions) Let me know if you'd be open to a PR that addresses this -- since foreign key constraints aren't enabled by default, I guess it's questionable whether this is a bug. I think I can workaround this by inspecting the database parameter in `prepare_connection` and trying not to enable fkey checks on the `_internal` database.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2032/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1620515757,I_kwDOBm6k_c5glxut,2039,Subtle bug with `--load-extension` and `--static` flags with absolute Windows paths with`C:\`,15178711,asg017,open,0,,,,,0,2023-03-12T21:18:52Z,2023-03-12T21:18:52Z,,CONTRIBUTOR,,"From the Datasette discord: A user tried running the following command on windows: ``` datasette --load-extension=""C:\spatialite\mod_spatialite-5.0.1-win-x86\mod_spatialite.dll"" ``` This failed with `""The specified module could not be found""`, because the entrypoint option introduced in #1789 splits the input differently. Instead of loading the extension found at `""C:\spatialite\mod_spatialite-5.0.1-win-x86\mod_spatialite.dll""`, it instead tried to load the extension at `""C""` with entrypoint `""\spatialite\mod_spatialite-5.0.1-win-x86\mod_spatialite.dll"". This is hard because most absolute windows paths have a colon in them, like `C:\foo.txt` or `D:\bar.txt`. I'd image the `--static` flag is also vulnerable to this type of bug. The ""solution"" is to use a relative path instead, but that doesn't feel that great. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2039/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1740026046,I_kwDOCGYnMM5ntrC-,556,Support storing incrementally piped values,601708,mcint,open,0,,,,,1,2023-06-04T00:45:23Z,2023-06-04T01:21:15Z,,CONTRIBUTOR,,"I'm trying to use sqlite-utils to data generated incrementally. There are a few aspects of this that I don't currently know how to handle. I would like an option to apply writes incrementally, line-by-line as they are received. I would like an option to echo incremental progress. And, it would be nice to have In particular, I'm using CoreLocationCLI -w -j to generate, newline-delimited JSON. One variant of the command `stdbuf -oL CoreLocationCLI -w -j | pee 'sqlite-utils insert loc.db loc -' nl` `pee`, from `moreutils`, is like `tee` but spawns and pipes to the processes created by invoking each of its arguments, so, for gratuitous demonstration, `pee 'sponge out.log' cat` would behave like `tee`. It looks like I can get what I want with: `stdbuf -oL CoreLocationCLI -w -j | while read line; do <<<""$line"" sqlite-utils insert loc.db loc -; echo ""$line""; done | nl` ",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/556/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1781530343,I_kwDOBm6k_c5qL_7n,2093,"Proposal: Combine settings, metadata, static, etc. into a single `datasette.yaml` File",15178711,asg017,open,0,,,,,8,2023-06-29T21:18:23Z,2023-09-11T20:19:32Z,,CONTRIBUTOR,,"Very often I get tripped up when trying to configure my Datasette instances. For example: if I want to change the port my app listen too, do I do that with a CLI flag, a `--setting` flag, inside `metadata.json`, or an env var? If I want to up the time limit of SQL statements, is that under `metadata.json` or a setting? Where does my plugin configuration go? Normally I need to look it up in Datasette docs, and I quickly find my answer, but the number of places where ""config"" goes it overwhelming. - Flat CLI flags like `--port`, `--host`, `--cors`, etc. - `--setting`, like `default_page_size`, `sql_time_limit_ms` etc - Inside `metadata.json`, including plugin configuration Typically my Datasette deploys are extremely long shell commands, with multiple `--setting` and other CLI flags. ## Proposal: Consolidate all ""config"" into `datasette.toml` I propose that we add a new `datasette.toml` that combines ""settings"", ""metadata"", and other common CLI flags like `--port` and `--cors` into a single file. It would be similar to ""Cargo.toml"" in Rust projects, ""package.json"" in Node projects, and ""pyproject.toml"" in Python, etc. A sample of what it could look like: ```toml # ""top level"" configuration that are currently CLI flags on `datasette serve` [config] port = 8020 host = ""0.0.0.0"" cors = true # replaces multiple `--setting` flags [settings] base_url = ""/app/datasette/"" default_allow_sql = true sql_time_limit_ms = 3500 # replaces `metadata.json`. # The contents of datasette-metadata.json could be defined in this file instead, but supporting separate files is nice (since those are easy to machine-generate) [metadata] include=""./datasette-metadata.json"" # plugin-specific [plugins] [plugins.datasette-auth-github] client_id = {env = ""DATASETTE_AUTH_GITHUB_CLIENT_ID""} client_secret = {env = ""GITHUB_CLIENT_SECRET""} [plugins.datasette-cluster-map] latitude_column = ""lat"" longitude_column = ""lon"" ``` ## Pros - Instead of multiple files and CLI flags, everything could be in one tidy file - Editing config in a separate file is easier than editing CLI flags, since you don't have to kill a process + edit a command every time - New users will know ""just edit my `datasette.toml` instead of needing to learn metadata + settings + CLI flags - Better dev experience for multiple environment. For example, could have `datasette -c datasette-dev.toml` for local dev environments (enables SQL, debug plugins, long timeouts, etc.), and a `datasette -c datasette-prod.toml` for ""production"" (lower timeouts, less plugins, monitoring plugins, etc.) ## Cons - Yet another config-management system. Now Datasette users will need to know about metadata, settings, CLI flags, _and_ `datasette.toml`. However with enough documentation + announcements + examples, I think we can get ahead of it. - If toml is chosen, would need to add a toml parser for Python version <3.11 - Multiple sources of config require priority. For example: Would `--setting default_allow_sql off` override the value inside `[settings]`? What about `--port`? ## Other Notes ### Toml I chose toml over json because toml supports comments. I chose toml over yaml because Python 3.11 has builtin support for it. I also find toml easier to work with since it doesn't have the odd ""gotchas"" that YAML has (""ex `3.10` resolving to `3.1`, Norway `NO` resolving to `false`, etc.). It also mimics `pyproject.toml` which is nice. Happy to change my mind about this however ### Plugin config will be difficult Plugin config is currently in `metadata.json` in two places: 1. Top level, under `""plugins.[plugin-name]""`. This fits well into `datasette.toml` as `[plugins.plugin-name]` 2. Table level, under `""databases.[db-name].tables.[table-name].plugins.[plugin-name]`. This doesn't fit that well into `datasette.toml`, unless it's nested under `[metadata]`? ### Extensions, static, one-off plugins? We could also include equivalents of `--plugins-dir`, `--static`, and `--load-extension` into `datasette.toml`, but I'd imagine there's a few security concerns there to think through. ### Explicitly list with plugins to use? I believe Datasette by default will load all install plugins on startup, but maybe `datasette.toml` can specify a list of plugins to use? For example, a dev version of `datasette.toml` can specify `datasette-pretty-traces`, but the prod version can leave it out",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2093/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1783304750,I_kwDOBm6k_c5qSxIu,2094,JS Plugin Hooks for the Code Editor,15178711,asg017,open,0,,,,,0,2023-07-01T00:51:57Z,2023-07-01T00:51:57Z,,CONTRIBUTOR,,"When #2052 merges, I'd like to add support to add extensions/functions to the Datasette code editor. I'd eventually like to build a JS plugin for [`sqlite-docs`](https://github.com/asg017/sqlite-docs), to add things like: - Inline documentation for tables/columns on hover - Inline docs for custom functions that are loaded in - More detailed autocomplete for tables/columns/functions I did some hacking to see what this would look like, see here: There can be a new hook that allows JS plugins to add new ""extension"" in the CodeMirror editorview here: https://github.com/simonw/datasette/blob/8cd60fd1d899952f1153460469b3175465f33f80/datasette/static/cm-editor-6.0.1.js#L25 Will need some more planning. For example, the Codemirror bundle in Datasette has functions that we could re-export for plugins to use (so we don't load 2 version of `""@codemirror/autocomplete""`, for example. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2094/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1821108702,I_kwDOCGYnMM5si-ne,579,Special handling for SQLite column of type `JSON`,15178711,asg017,open,0,,,,,0,2023-07-25T20:37:23Z,2023-07-25T20:37:23Z,,CONTRIBUTOR,,"`sqlite-utils` should detect and have specially handling for column with a `JSON` column. For example: ```sql CREATE TABLE ""dogs"" ( id INTEGER PRIMARY KEY, name TEXT, friends JSON ); ``` ## Automatic Nesting According to [""Nested JSON Values""](https://sqlite-utils.datasette.io/en/stable/cli.html#nested-json-values), sqlite-utils will only expand JSON if the `--json-cols` flag is passed. It looks like it'll try to `json.load` all text column to test if its JSON, which can get expensive on non-json columns. Instead, `sqlite-utils` should be default (ie without the `--json-cols` flags) do the `maybe_json()` operation on columns with a declared `JSON` type. So the above table would expand the `""friends""` column as expected, withoutthe `--json-cols` flag: ```bash sqlite-utils dogs.db ""select * from dogs"" | python -mjson.tool ``` ``` [ { ""id"": 1, ""name"": ""Cleo"", ""friends"": [ { ""name"": ""Pancakes"" }, { ""name"": ""Bailey"" } ] } ] ``` --- I'm sure there's other ways `sqlite-utils` can specially handle JSON columns, so keeping this open while I think of more",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/579/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1822813627,I_kwDOBm6k_c5spe27,2108,some (many?) SQL syntax errors are not throwing errors with a .csv endpoint,536941,fgregg,open,0,,,,,0,2023-07-26T16:57:45Z,2023-07-26T16:58:07Z,,CONTRIBUTOR,,"here's a CTE query that should always fail with a syntax error: ```sql with foo as (nonsense) select * from foo; ``` when we make this query against the default endpoint, we do indeed get a 400 status code the problem is returned to the user: https://global-power-plants.datasettes.com/global-power-plants?sql=with+foo+as+%28nonsense%29+select+*+from+foo%3B but, if we use the csv endpoint, we get a 200 status code and no indication of a problem: https://global-power-plants.datasettes.com/global-power-plants.csv?sql=with+foo+as+%28nonsense%29+select+*+from+foo%3B same with this bad sql ```sql select a, from foo; ``` https://global-power-plants.datasettes.com/global-power-plants?sql=select%0D%0A++a%2C%0D%0Afrom%0D%0A++foo%3B vs https://global-power-plants.datasettes.com/global-power-plants.csv?sql=select%0D%0A++a%2C%0D%0Afrom%0D%0A++foo%3B but, datasette catches this bad sql at both endpoints: ```sql slect a from foo; ``` https://global-power-plants.datasettes.com/global-power-plants?sql=slect%0D%0A++a%0D%0Afrom%0D%0A++foo%3B https://global-power-plants.datasettes.com/global-power-plants.csv?sql=slect%0D%0A++a%0D%0Afrom%0D%0A++foo%3B ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2108/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1855885427,I_kwDOBm6k_c5unpBz,2143,De-tangling Metadata before Datasette 1.0,15178711,asg017,open,0,,,,,24,2023-08-18T00:51:50Z,2023-08-24T18:28:27Z,,CONTRIBUTOR,,"Metadata in Datasette is a really powerful feature, but is a bit difficult to work with. It was initially a way to add ""metadata"" about your ""data"" in Datasette instances, like descriptions for databases/tables/columns, titles, source URLs, licenses, etc. But it later became the go-to spot for other Datasette features that have nothing to do with metadata, like permissions/plugins/canned queries. Specifically, I've found the following problems when working with Datasette metadata: 1. Metadata cannot be updated without re-starting the entire Datasette instance. 2. The `metadata.json`/`metadata.yaml` has become a kitchen sink of unrelated (imo) features like plugin config, authentication config, canned queries 3. The Python APIs for defining extra metadata are a bit awkward (the `datasette.metadata()` class, `get_metadata()` hook, etc.) ## Possible solutions Here's a few ideas of Datasette core changes we can make to address these problems. ### Re-vamp the Datasette Python metadata APIs The Datasette object has a single `datasette.metadata()` method that's a bit difficult to work with. There's also no Python API for inserted new metadata, so plugins have to rely on the `get_metadata()` hook. The `get_metadata()` hook can also be improved - it doesn't work with async functions yet, so you're quite limited to what you can do. (I'm a bit fuzzy on what to actually do here, but I imagine it'll be very small breaking changes to a few Python methods) ### Add an optional `datasette_metadata` table Datasette should detect and use metadata stored in a new special table called `datasette_metadata`. This would be a regular table that a user can edit on their own, and would serve as a ""live updating"" source of metadata, than can be changed while the Datasette instance is running. Not too sure what the schema would look like, but I'd imagine: ```sql CREATE TABLE datasette_metadata( level text, target any, key text, value any, primary key (level, target) ) ``` Every row in this table would map to a single metadata ""entry"". - `level` would be one of ""datasette"", ""database"", ""table"", ""column"", which is the ""level"" the entry describes. For example, `level=""table""` means it is metadata about a specific table, `level=""database""` for a specific database, or `level=""datasette""` for the entire Datasette instance. - `target` would ""point"" to the specific object the entry metadata is about, and would depend on what `level` is specific. - `level=""database""`: `target` would be the string name of the database that the metadata entry is about. ex `""fixtures""` - `level=""table""`: `target` would be a JSON array of two strings. The first element would be the database name, and the second would be the table name. ex `[""fixtures"", ""students""]` - `level=""column""`: `target` would be a JSON array of 3 strings: The database name, table name, and column name. Ex `[""fixtures"", ""students"", ""student_id""`] - `key` would be the type of metadata entry the row has, similar to the current ""keys"" that exist in `metadata.json`. Ex `""about_url""`, `""source""`, `""description""`, etc - `value` would be the text value of be metadata entry. The literal text value of a description, about_url, column_label, etc A quick sample: level | target | key | value -- | -- | -- | -- datasette | NULL | title | my datasette title... db | fixtures | source | table | [""fixtures"", ""students""] | label_column | student_name column | [""fixtures"", ""students"", ""birthdate""] | description | This `datasette_metadata` would be configured with other tools, and hopefully not manually by end users. Datasette Core could also offer a UI for editing entries in `datasette_metadata`, to update descriptions/columns on the fly. ### Re-vamp `metadata.json` and move non-metadata config to another place The motivation behind this is that it's awkward that `metadata.json` contains config about things that are not strictly metadata, including: - Plugin configuration - [Authentication/permissions](https://docs.datasette.io/en/latest/authentication.html#access-permissions-in-metadata) (ex the `allow` key on datasettes/databases/tables - Canned queries. might be controversial, but in my mind, canned queries are application-specific code and configuration, and don't describe the data that exists in SQLite databases. I think we should move these outside of `metadata.json` and into a different file. The `datasette.json` idea in #2093 may be a good solution here: plugin/permissions/canned queries can be defined in `datasette.json`, while `metadata.json`/`datasette_metadata` will strictly be about documenting databases/tables/columns. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2143/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1864112887,PR_kwDOBm6k_c5Yo7bk,2151,Test Datasette on multiple SQLite versions,15178711,asg017,open,0,,,,,1,2023-08-23T22:42:51Z,2023-08-23T22:58:13Z,,CONTRIBUTOR,simonw/datasette/pulls/2151,"still testing, hope it works! ---- :books: Documentation preview :books:: https://datasette--2151.org.readthedocs.build/en/2151/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2151/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1, 1865869205,I_kwDOBm6k_c5vNueV,2157,"Proposal: Make the `_internal` database persistent, customizable, and hidden",15178711,asg017,open,0,,,,,3,2023-08-24T20:54:29Z,2023-08-31T02:45:56Z,,CONTRIBUTOR,,"The current `_internal` database is used by Datasette core to cache info about databases/tables/columns/foreign keys of databases in a Datasette instance. It's a temporary database created at startup, that can only be seen by the root user. See an [example `_internal` DB here](https://latest.datasette.io/_internal), after [logging in as root](https://latest.datasette.io/login-as-root). The current `_internal` database has a few rough edges: - It's part of `datasette.databases`, so many plugins have to specifically exclude `_internal` from their queries [examples here](https://github.com/search?q=datasette+hookimpl+%22_internal%22+language%3APython+-path%3Adatasette%2F&ref=opensearch&type=code) - It's only used by Datasette core and can't be used by plugins or 3rd parties - It's created from scratch at startup and stored in memory. Why is fine, the performance is great, but persistent storage would be nice. Additionally, it would be really nice if plugins could use this `_internal` database to store their own configuration, secrets, and settings. For example: - `datasette-auth-tokens` [creates a `_datasette_auth_tokens` table](https://github.com/simonw/datasette-auth-tokens/blob/main/datasette_auth_tokens/__init__.py#L15) to store auth token metadata. This could be moved into the `_internal` database to avoid writing to the gues database - `datasette-socrata` [creates a `socrata_imports`](https://github.com/simonw/datasette-socrata/blob/1409aa9b4d2fc3aff286b52e73af33b5786d56d0/datasette_socrata/__init__.py#L190-L198) table, which also can be in `_internal` - `datasette-upload-csvs` [creates a `_csv_progress_`](https://github.com/simonw/datasette-upload-csvs/blob/main/datasette_upload_csvs/__init__.py#L154) table, which can be in `_internal` - `datasette-write-ui` wants to have the ability for users to toggle whether a table appears editable, which can be either in `datasette.yaml` or on-the-fly by storing config in `_internal` In general, these are specific features that Datasette plugins would have access to if there was a central internal database they could read/write to: - **Dynamic configuration**. Changing the `datasette.yaml` file works, but can be tedious to restart the server every time. Plugins can define their own configuration table in `_internal`, and could read/write to it to store configuration based on user actions (cell menu click, API access, etc.) - **Caching**. If a plugin or Datasette Core needs to cache some expensive computation, they can store it inside `_internal` (possibly as a temporary table) instead of managing their own caching solution. - **Audit logs**. If a plugin performs some sensitive operations, they can log usage info to `_internal` for others to audit later. - **Long running process status**. Many plugins (`datasette-upload-csvs`, `datasette-litestream`, `datasette-socrata`) perform tasks that run for a really long time, and want to give continue status updates to the user. They can store this info inside` _internal` - **Safer authentication**. Passwords and authentication plugins usually store credentials/hashed secrets in configuration files or environment variables, which can be difficult to handle. Now, they can store them in `_internal` ## Proposal - We remove `_internal` from [`datasette.databases`](https://docs.datasette.io/en/latest/internals.html#databases) property. - We add new `datasette.get_internal_db()` method that returns the `_internal` database, for plugins to use - We add a new `--internal internal.db` flag. If provided, then the `_internal` DB will be sourced from that file, and further updates will be persisted to that file (instead of an in-memory database) - When creating internal.db, create a new `_datasette_internal` table to mark it a an ""datasette internal database"" - In `datasette serve`, we check for the existence of the `_datasette_internal` table. If it exists, we assume the user provided that file in error and raise an error. This is to limit the chance that someone accidentally publishes their internal database to the internet. We could optionally add a `--unsafe-allow-internal` flag (or database plugin) that allows someone to do this if they really want to. ## New features unlocked with this These features don't really need a standardized `_internal` table per-say (plugins could currently configure their own long-time storage features if they really wanted to), but it would make it much simpler to create these kinds of features with a persistent application database. - **`datasette-comments`** : A plugin for commenting on rows or specific values in a database. Comment contents + threads + email notification info can be stored in `_internal` - **Bookmarks**: ""Bookmarking"" an SQL query could be stored in `_internal`, or a URL link shortener - **Webhooks**: If a plugin wants to either consume a webhook or create a new one, they can store hashed credentials/API endpoints in `_internal`",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2157/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1884330740,PR_kwDOBm6k_c5ZszDF,2174,Use $DATASETTE_INTERNAL in absence of --internal,15178711,asg017,open,0,,,,,3,2023-09-06T16:07:15Z,2023-09-08T00:46:13Z,,CONTRIBUTOR,simonw/datasette/pulls/2174,"#refs 2157, specifically [this comment](https://github.com/simonw/datasette/issues/2157#issuecomment-1700291967) Passing in `--internal my_internal.db` over and over again can get repetitive. This PR adds a new configurable env variable `DATASETTE_INTERNAL_DB_PATH`. If it's defined, then it takes place as the path to the internal database. Users can still overwrite this behavior by passing in their own `--internal internal.db` flag. In draft mode for now, needs tests and documentation. Side note: Maybe we can have a sections in the docs that lists all the ""configuration environment variables"" that Datasette respects? I did a quick grep and found: - `DATASETTE_LOAD_PLUGINS` - `DATASETTE_SECRETS` ---- :books: Documentation preview :books:: https://datasette--2174.org.readthedocs.build/en/2174/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2174/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1900026059,I_kwDOBm6k_c5xQBjL,2188,"Plugin Hooks for ""compile to SQL"" languages",15178711,asg017,open,0,,,,,2,2023-09-18T01:37:15Z,2023-09-18T06:58:53Z,,CONTRIBUTOR,,"There's a ton of tools/languages that compile to SQL, which may be nice in Datasette. Some examples: - Logica https://logica.dev - PRQL https://prql-lang.org - Malloy, but not sure if it works with SQLite? https://github.com/malloydata/malloy It would be cool if plugins could extend Datasette to use these languages, in both the code editor and API usage. A few things I'd imagine a `datasette-prql` or `datasette-logica` plugin would do: - `prql=` instead of `sql=` - Code editor support (syntax highlighting, autocomplete) - Hide/show SQL",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2188/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1983600865,PR_kwDOBm6k_c5e7WH7,2206,Bump the python-packages group with 1 update,49699333,dependabot[bot],open,0,,,,,1,2023-11-08T13:18:56Z,2023-12-08T13:46:24Z,,CONTRIBUTOR,simonw/datasette/pulls/2206,"Bumps the python-packages group with 1 update: [black](https://github.com/psf/black).
Release notes

Sourced from black's releases.

23.11.0

Highlights

  • Support formatting ranges of lines with the new --line-ranges command-line option (#4020)

Stable style

  • Fix crash on formatting bytes strings that look like docstrings (#4003)
  • Fix crash when whitespace followed a backslash before newline in a docstring (#4008)
  • Fix standalone comments inside complex blocks crashing Black (#4016)
  • Fix crash on formatting code like await (a ** b) (#3994)
  • No longer treat leading f-strings as docstrings. This matches Python's behaviour and fixes a crash (#4019)

Preview style

  • Multiline dicts and lists that are the sole argument to a function are now indented less (#3964)
  • Multiline unpacked dicts and lists as the sole argument to a function are now also indented less (#3992)
  • In f-string debug expressions, quote types that are visible in the final string are now preserved (#4005)
  • Fix a bug where long case blocks were not split into multiple lines. Also enable general trailing comma rules on case blocks (#4024)
  • Keep requiring two empty lines between module-level docstring and first function or class definition (#4028)
  • Add support for single-line format skip with other comments on the same line (#3959)

Configuration

  • Consistently apply force exclusion logic before resolving symlinks (#4015)
  • Fix a bug in the matching of absolute path names in --include (#3976)

Performance

  • Fix mypyc builds on arm64 on macOS (#4017)

Integrations

  • Black's pre-commit integration will now run only on git hooks appropriate for a code formatter (#3940)

23.10.1

Highlights

  • Maintanence release to get a fix out for GitHub Action edge case (#3957)

Preview style

... (truncated)

Changelog

Sourced from black's changelog.

23.11.0

Highlights

  • Support formatting ranges of lines with the new --line-ranges command-line option (#4020)

Stable style

  • Fix crash on formatting bytes strings that look like docstrings (#4003)
  • Fix crash when whitespace followed a backslash before newline in a docstring (#4008)
  • Fix standalone comments inside complex blocks crashing Black (#4016)
  • Fix crash on formatting code like await (a ** b) (#3994)
  • No longer treat leading f-strings as docstrings. This matches Python's behaviour and fixes a crash (#4019)

Preview style

  • Multiline dicts and lists that are the sole argument to a function are now indented less (#3964)
  • Multiline unpacked dicts and lists as the sole argument to a function are now also indented less (#3992)
  • In f-string debug expressions, quote types that are visible in the final string are now preserved (#4005)
  • Fix a bug where long case blocks were not split into multiple lines. Also enable general trailing comma rules on case blocks (#4024)
  • Keep requiring two empty lines between module-level docstring and first function or class definition (#4028)
  • Add support for single-line format skip with other comments on the same line (#3959)

Configuration

  • Consistently apply force exclusion logic before resolving symlinks (#4015)
  • Fix a bug in the matching of absolute path names in --include (#3976)

Performance

  • Fix mypyc builds on arm64 on macOS (#4017)

Integrations

  • Black's pre-commit integration will now run only on git hooks appropriate for a code formatter (#3940)

23.10.1

Highlights

  • Maintenance release to get a fix out for GitHub Action edge case (#3957)

... (truncated)

Commits
  • 2a1c67e Prepare release 23.11.0 (#4032)
  • 72e7a2e Remove redundant condition from has_magic_trailing_comma (#4023)
  • 1a7d9c2 Preserve visible quote types for f-string debug expressions (#4005)
  • f4c7be5 docs: fix minor typo (#4030)
  • 2e4fac9 Apply force exclude logic before symlink resolution (#4015)
  • 66008fd [563] Fix standalone comments inside complex blocks crashing Black (#4016)
  • 50ed622 Fix long case blocks not split into multiple lines (#4024)
  • 46be1f8 Support formatting specified lines (#4020)
  • ecbd9e8 Fix crash with f-string docstrings (#4019)
  • e808e61 Preview: Keep requiring two empty lines between module-level docstring and fi...
  • Additional commits viewable in compare view

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---- :books: Documentation preview :books:: https://datasette--2206.org.readthedocs.build/en/2206/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2206/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1994857251,I_kwDOBm6k_c525xsj,2208,No suggested facets when a column named 'value' is included,198537,rgieseke,open,0,,,,,1,2023-11-15T14:11:17Z,2023-11-15T14:18:59Z,,CONTRIBUTOR,,"When a column named 'value' is included there are no suggested facets is shown as the query uses an alias of 'value'. https://github.com/simonw/datasette/blob/452a587e236ef642cbc6ae345b58767ea8420cb5/datasette/facets.py#L168-L174 Currently the following is shown (from https://latest.datasette.io/fixtures/facetable) ![image](https://github.com/simonw/datasette/assets/198537/a919509a-ea88-461b-b25b-8b776720c7c5) When I add a column named 'value' only the JSON facets are processed. ![image](https://github.com/simonw/datasette/assets/198537/092bd0b3-4c20-434e-88f8-47e2b8994a1d) I think that not using aliases could be a solution (except if someone wants to use a column named `count(*)` though this seems to be unlikely). I'll open a PR with that. There is also a TODO with a similar question in the same file. I have not looked into that yet. https://github.com/simonw/datasette/blob/452a587e236ef642cbc6ae345b58767ea8420cb5/datasette/facets.py#L512",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2208/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1994861266,PR_kwDOBm6k_c5fhgOS,2209,Fix query for suggested facets with column named value,198537,rgieseke,open,0,,,,,3,2023-11-15T14:13:30Z,2023-11-15T15:31:12Z,,CONTRIBUTOR,simonw/datasette/pulls/2209,"See discussion in https://github.com/simonw/datasette/issues/2208 ---- :books: Documentation preview :books:: https://datasette--2209.org.readthedocs.build/en/2209/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2209/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 2028698018,I_kwDOBm6k_c5463mi,2213,feature request: gzip compression of database downloads,536941,fgregg,open,0,,,,,1,2023-12-06T14:35:03Z,2023-12-06T15:05:46Z,,CONTRIBUTOR,,"At the bottom of database pages, datasette gives users the opportunity to download the underlying sqlite database. It would be great if that could be served gzip compressed. this is similar to #1213, but for me, i don't need datasette to compress html and json because my CDN layer does it for me, however, cloudflare at least, will not compress a mimetype of ""application"" (see list of mimetype: https://developers.cloudflare.com/speed/optimization/content/brotli/content-compression/)",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2213/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 892383270,MDExOlB1bGxSZXF1ZXN0NjQ1MTAwODQ4,12,Recovering of malformed ENEX file,8431437,engdan77,open,0,,,,,0,2021-05-15T07:49:31Z,2021-05-15T19:57:50Z,,FIRST_TIMER,dogsheep/evernote-to-sqlite/pulls/12,"Hey .. Awesome work developing this project, that I found very useful to me and saved me some work.. Thanks.. :) Some background to this PR... I've been searching around for a tool allowing me to transforming my personal collection of Evernote notes to a format easier to search and potentially easier import to future services. Now I discovered problem processing my large data ~5GB using the existing source using Pythons builtin xml-parser that unfortunately was unable to succeed without exception breaking the process. My first attempt I tried to adapt to more robust lxml package allowing huge data and with ""recover"", but even if it worked better it also failed processing the whole data. Even using the memory efficient etree.iterparse() it also unfortunately got into trouble. And with no luck finding any other libraries successfully parsing this enormous file I instead chose to build a ""hugexmlparser"" module that allows parsing this huge file using yield (on a byte-to-byte-level) and allows you to set a maximum size for to cater for potential malformed or undesirable large attachments to export, should succeed covering potential exceptions. Some cases found where the parses discover malformed XML within so also in those cases try to save as much as possible by escaping (to be dealt at a later stage, better than nothing), and if a missing end before new (malformed?) it would add this after encounter a new start-tag. The code for the recovery process is a bit rough and for certain room for refactoring, but at the moment is seem to achieve what I wanted. Now with the above we pass this a minor changed version of save_note_recovery() assure the existing works. Also adding this as a new recover-enex command to click and kept the original options. A couple of new tests was added as well to check against using this command. Now this currently works to me, but thought I might share a PR in such as you find use for this yourself or found useful to others finding this repository. As a second step .. When the time allows it would have been nice to also be able to easily export from SQLite to formatted HTML/MD and attachments saved... but that might perhaps be better a separate project ... or if you or someone else have something that might shared to save some trouble, I would be interested ;-) ",303218369,evernote-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/12/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 355299310,MDExOlB1bGxSZXF1ZXN0MjExODYwNzA2,363,Search all apps during heroku publish,436032,kevboh,open,0,,,,,1,2018-08-29T19:25:10Z,2018-08-31T14:39:45Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/363,Adds the `-A` option to include apps from all organizations when searching app names for publish.,107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/363/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 359075028,MDExOlB1bGxSZXF1ZXN0MjE0NjUzNjQx,364,Support for other types of databases using external connectors,11912854,jsancho-gpl,open,0,,,,,0,2018-09-11T14:31:47Z,2018-09-11T14:31:47Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/364,"This PR is related to #293, but now all commits have been merged. The purpose is to support other file formats that aren't SQLite, like files with PyTables format. I've tried to accomplish that using external connectors published with entry points. The modifications in the original datasette code are minimal and many are in a separated file.",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/364/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 646448486,MDExOlB1bGxSZXF1ZXN0NDQwNzM1ODE0,868,initial windows ci setup,702729,joshmgrant,open,0,,,,,3,2020-06-26T18:49:13Z,2021-07-10T23:41:43Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/868,Picking up the work done on #557 with a new PR. Seeing if I can get this working.,107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/868/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 655974395,MDExOlB1bGxSZXF1ZXN0NDQ4MzU1Njgw,30,Handle empty bucket on first upload. Allow specifying the endpoint_url for services other than S3 (like b2 and digitalocean spaces),110038,scanner,open,0,,,,,0,2020-07-13T16:15:26Z,2020-07-13T16:15:26Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/dogsheep-photos/pulls/30,"Finally got around to trying dogsheep-photos but I want to use backblaze's b2 service instead of AWS S3. Had to add a way to optionally specify the endpoint_url to connect to. Then with the bucket being empty the initial key retrieval would fail. Probably a better way to see that the bucket is empty than doing a test inside the paginator loop. Also probably a better way to specify the endpoint_url as we get and test for it twice using the same code in two different places but did not want to spend too much time worrying about it.",256834907,dogsheep-photos,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/30/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 718395987,MDExOlB1bGxSZXF1ZXN0NTAwNzk4MDkx,1008,Add json_loads and json_dumps jinja2 filters,649467,mhalle,open,0,,,,,1,2020-10-09T20:11:34Z,2020-12-15T02:30:28Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/1008,,107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1008/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 723499985,MDExOlB1bGxSZXF1ZXN0NTA1MDc2NDE4,5,Add fitbit-to-sqlite,4632208,mrphil007,open,0,,,,,0,2020-10-16T20:04:05Z,2020-10-16T20:04:05Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/dogsheep.github.io/pulls/5,,214746582,dogsheep.github.io,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/5/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 723982480,MDExOlB1bGxSZXF1ZXN0NTA1NDUzOTAw,1030,Make `package` command deal with a configuration directory argument,299380,frankier,open,0,,,,,1,2020-10-18T11:07:02Z,2020-10-19T08:01:51Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/1030,Currently if we run `datasette package` on a configuration directory we'll get an exception when we try to hard link to the directory. This PR copies the tree and makes the Dockerfile run inspect on all *.db files.,107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1030/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 743071410,MDExOlB1bGxSZXF1ZXN0NTIxMDU0NjEy,13,SQLite does not have case sensitive columns,1689944,tomaskrehlik,open,0,,,,,1,2020-11-14T20:12:32Z,2021-08-24T13:28:26Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/healthkit-to-sqlite/pulls/13,"This solves a weird issue when there is record with metadata key that is only different in letter cases. See the test for details.",197882382,healthkit-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/13/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 743384829,MDExOlB1bGxSZXF1ZXN0NTIxMjg3OTk0,203,changes to allow for compound foreign keys,1049910,drkane,open,0,,,,,7,2020-11-16T00:30:10Z,2023-01-25T18:47:18Z,,FIRST_TIME_CONTRIBUTOR,simonw/sqlite-utils/pulls/203,"Add support for compound foreign keys, as per issue #117 Not sure if this is the right approach. In particular I'm unsure about: - the new `ForeignKey` class, which replaces the namedtuple in order to ensure that `column` and `other_column` are forced into tuples. The class does the job, but doesn't feel very elegant. - I haven't rewritten `guess_foreign_table` to take account of multiple columns, so it just checks for the first column in the foreign key definition. This isn't ideal. - I haven't added any ability to the CLI to add compound foreign keys, it's only in the python API at the moment. The PR also contains a minor related change that columns and tables are always quoted in foreign key definitions.",140912432,sqlite-utils,pull,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/203/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 774332247,MDExOlB1bGxSZXF1ZXN0NTQ1MjY0NDM2,1159,Improve the display of facets information,552629,lovasoa,open,0,,,3268330,Datasette 1.0,9,2020-12-24T11:01:47Z,2023-07-31T18:57:59Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/1159,"This PR changes the display of facets to hopefully make them more readable. Before | After ---|--- ![image](https://user-images.githubusercontent.com/552629/103084609-b1ec2980-45df-11eb-85bc-68ab8df3e8d9.png) | ![image](https://user-images.githubusercontent.com/552629/103085220-620e6200-45e1-11eb-8189-5dd5d3e2569e.png) ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1159/reactions"", ""total_count"": 4, ""+1"": 4, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 793907673,MDExOlB1bGxSZXF1ZXN0NTYxNTEyNTAz,15,added try / except to write_records ,9857779,ryancheley,open,0,,,,,0,2021-01-26T03:56:21Z,2021-01-26T03:56:21Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/healthkit-to-sqlite/pulls/15,"to keep the data write from failing if it came across an error during processing. In particular when trying to convert my HealthKit zip file (and that of my wife's) it would consistently error out with the following: ``` db.py 1709 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: too many SQL variables --------------------------------------------------------------------------------------------------------------------------------------------------------------------- db.py 1709 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: too many SQL variables --------------------------------------------------------------------------------------------------------------------------------------------------------------------- db.py 1709 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: table rBodyMass has no column named metadata_HKWasUserEntered --------------------------------------------------------------------------------------------------------------------------------------------------------------------- healthkit-to-sqlite 8 sys.exit(cli()) core.py 829 __call__ return self.main(*args, **kwargs) core.py 782 main rv = self.invoke(ctx) core.py 1066 invoke return ctx.invoke(self.callback, **ctx.params) core.py 610 invoke return callback(*args, **kwargs) cli.py 57 cli convert_xml_to_sqlite(fp, db, progress_callback=bar.update, zipfile=zf) utils.py 42 convert_xml_to_sqlite write_records(records, db) utils.py 143 write_records db[table].insert_all( db.py 1899 insert_all self.insert_chunk( db.py 1720 insert_chunk self.insert_chunk( db.py 1720 insert_chunk self.insert_chunk( db.py 1714 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: table rBodyMass has no column named metadata_HKWasUserEntered ``` Adding the try / except in the `write_records` seems to fix that issue. ",197882382,healthkit-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/15/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 813880401,MDExOlB1bGxSZXF1ZXN0NTc3OTUzNzI3,5,WIP: Add Gmail takeout mbox import,306240,UtahDave,open,0,,,,,25,2021-02-22T21:30:40Z,2021-07-28T07:18:56Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/google-takeout-to-sqlite/pulls/5,"WIP This PR adds the ability to import emails from a Gmail mbox export from Google Takeout. This is my first PR to a datasette/dogsheep repo. I've tested this on my personal Google Takeout mbox with ~520,000 emails going back to 2004. This took around ~20 minutes to process. To provide some feedback on the progress of the import I added the ""rich"" python module. I'm happy to remove that if adding a dependency is discouraged. However, I think it makes a nice addition to give feedback on the progress of a long import. Do we want to log emails that have errors when trying to import them? Dealing with encodings with emails is a bit tricky. I'm very open to feedback on how to deal with those better. As well as any other feedback for improvements.",206649770,google-takeout-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/5/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 830901133,MDExOlB1bGxSZXF1ZXN0NTkyMzY0MjU1,16,"Add a fallback ID, print if no ID found",1234956,n8henrie,open,0,,,,,0,2021-03-13T13:38:29Z,2021-03-13T14:44:04Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/healthkit-to-sqlite/pulls/16,"Fixes https://github.com/dogsheep/healthkit-to-sqlite/issues/14 ",197882382,healthkit-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/16/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 836064851,MDExOlB1bGxSZXF1ZXN0NTk2NjI3Nzgw,18,Add datetime parsing,1234956,n8henrie,open,0,,,,,0,2021-03-19T14:34:22Z,2021-03-19T14:34:22Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/healthkit-to-sqlite/pulls/18,"Parses the datetime columns so they are subsequently properly recognized as datetime. Fixes https://github.com/dogsheep/healthkit-to-sqlite/issues/17 ",197882382,healthkit-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/18/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 855446829,MDExOlB1bGxSZXF1ZXN0NjEzMTc4OTY4,1296,Dockerfile: use Ubuntu 20.10 as base,82332573,tmcl-it,open,0,,,,,4,2021-04-12T00:23:32Z,2021-07-20T08:52:13Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/1296,"This PR changes the main Dockerfile to use ubuntu:20.10 as base image instead of python:3.9.2-slim-buster (itself based on debian:buster-slim). The Dockerfile is essentially the one from https://github.com/simonw/datasette/issues/1249#issuecomment-803698983 with some additional cleanups to slim it down. This fixes a couple of issues: 1. The SQLite version in Debian Buster (2.6.0) doesn't support generated columns 2. Installing SpatiaLite from the Debian sid repositories has the side effect of also installing updates to libc and libstdc++ from sid. As a bonus, the Docker image becomes smaller: ``` $ docker image ls REPOSITORY TAG IMAGE ID CREATED SIZE datasette 0.56-ubuntu f7aca255140a 5 hours ago 212MB datasetteproject/datasette 0.56 efb3b282f390 13 days ago 258MB ``` ### Reproduction of the first issue ``` $ curl -O https://latest.datasette.io/fixtures.db % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 260k 0 260k 0 0 489k 0 --:--:-- --:--:-- --:--:-- 489k $ docker run -v `pwd`:/mnt datasetteproject/datasette:0.56 datasette /mnt/fixtures.db Traceback (most recent call last): File ""/usr/local/bin/datasette"", line 8, in sys.exit(cli()) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 782, in main rv = self.invoke(ctx) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 610, in invoke return callback(*args, **kwargs) File ""/usr/local/lib/python3.9/site-packages/datasette/cli.py"", line 544, in serve asyncio.get_event_loop().run_until_complete(check_databases(ds)) File ""/usr/local/lib/python3.9/asyncio/base_events.py"", line 642, in run_until_complete return future.result() File ""/usr/local/lib/python3.9/site-packages/datasette/cli.py"", line 584, in check_databases await database.execute_fn(check_connection) File ""/usr/local/lib/python3.9/site-packages/datasette/database.py"", line 155, in execute_fn return await asyncio.get_event_loop().run_in_executor( File ""/usr/local/lib/python3.9/concurrent/futures/thread.py"", line 52, in run result = self.fn(*self.args, **self.kwargs) File ""/usr/local/lib/python3.9/site-packages/datasette/database.py"", line 153, in in_thread return fn(conn) File ""/usr/local/lib/python3.9/site-packages/datasette/utils/__init__.py"", line 892, in check_connection for r in conn.execute( sqlite3.DatabaseError: malformed database schema (generated_columns) - near ""AS"": syntax error ``` Here is the SQLite version: ``` $ docker run -v `pwd`:/mnt -it datasetteproject/datasette:0.56 /bin/bash root@d9220d3b95dd:/# python3 Python 3.9.2 (default, Mar 27 2021, 02:50:26) [GCC 8.3.0] on linux Type ""help"", ""copyright"", ""credits"" or ""license"" for more information. >>> import sqlite3 >>> sqlite3.version '2.6.0' ``` ### Reproduction of the second issue ``` $ docker build . -t datasette --build-arg VERSION=0.55 [...snip...] The following packages will be upgraded: libc-bin libc6 libstdc++6 [...snip...] Unpacking libc6:amd64 (2.31-11) over (2.28-10) ... [...snip...] Unpacking libstdc++6:amd64 (10.2.1-6) over (8.3.0-6) ... [...snip...] ``` Both libc and libstdc++ are backwards compatible, so the image still works, but it will result in a combination of libraries and Python versions that exists only in the Datasette image, so it's likely untested. In addition, since Debian sid is an always-changing rolling-release, the versions of libc, libstdc++, Spatialite, and their dependencies change frequently, so the library versions in the Datasette image will depend on the day when it was built. ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1296/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 923270900,MDExOlB1bGxSZXF1ZXN0NjcyMDUzODEx,65,basic support for events,231498,khimaros,open,0,,,,,2,2021-06-17T00:51:30Z,2022-10-03T22:35:03Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/github-to-sqlite/pulls/65,"a quick first pass at implementing the feature requested in https://github.com/dogsheep/github-to-sqlite/issues/64 testing instructions: ``` $ github-to-sqlite events events.db user/khimaros ``` if the specified user is the authenticated user, it will also include private events. caveat: pagination appears to be broken (i don't see `next` in the response JSON from GitHub)",207052882,github-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/65/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 925384329,MDExOlB1bGxSZXF1ZXN0NjczODcyOTc0,7,Add instagram-to-sqlite,36654812,gavindsouza,open,0,,,,,0,2021-06-19T12:26:16Z,2021-07-28T07:58:59Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/dogsheep.github.io/pulls/7,"The tool covers only chat imports at the time of opening this PR but I'm planning to import everything else that I feel inquisitive about ref: https://github.com/gavindsouza/instagram-to-sqlite",214746582,dogsheep.github.io,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/7/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 947596222,MDExOlB1bGxSZXF1ZXN0NjkyNTU3Mzgx,1399,Multiple sort,87192257,jgryko5,open,0,,,,,0,2021-07-19T12:20:14Z,2021-07-19T12:20:14Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/1399,"Closes #197. I have added support for sorting by multiple parameters as mentioned in the issue above, and together with that, a suggestion on how to implement such sorting in the user interface.",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1399/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 954546309,MDExOlB1bGxSZXF1ZXN0Njk4NDIzNjY3,8,Add Gmail takeout mbox import (v2),28565,maxhawkins,open,0,,,,,7,2021-07-28T07:05:32Z,2023-09-08T01:22:49Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/google-takeout-to-sqlite/pulls/8,"WIP This PR builds on #5 to continue implementing gmail import support. Building on @UtahDave's work, these commits add a few performance and bug fixes: * Decreased memory overhead for import by manually parsing mbox headers. * Fixed error where some messages in the mbox would yield a row with NULL in all columns. I will send more commits to fix any errors I encounter as I run the importer on my personal takeout data.",206649770,google-takeout-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/8/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 975161924,MDExOlB1bGxSZXF1ZXN0NzE2MzU3OTgy,66,Add --merged-by flag to pull-requests sub command,30531572,sarcasticadmin,open,0,,,,,1,2021-08-20T00:57:55Z,2021-09-28T21:50:31Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/github-to-sqlite/pulls/66,"## Description Proposing a solution to the API limitation for `merged_by` in pull_requests. Specifically the following called out in the readme: ``` Note that the merged_by column on the pull_requests table will only be populated for pull requests that are loaded using the --pull-request option - the GitHub API does not return this field for pull requests that are loaded in bulk. ``` This approach might cause larger repos to hit rate limits called out in https://github.com/dogsheep/github-to-sqlite/issues/51 but seems to work well in the repos I tested and included below. ## Old Behavior - Had to list out the pull-requests individually via multiple `--pull-request` flags ## New Behavior - `--merged-by` flag for getting 'merge_by' information out of pull-requests without having to specify individual PR numbers. # Testing Picking some repo that has more than one merger (datasette only has 1 😉 ) ``` $ github-to-sqlite pull-requests ./github.db opnsense/tools --merged-by $ echo ""select id, url, merged_by from pull_requests;"" | sqlite3 ./github.db 83533612|https://github.com/opnsense/tools/pull/39|1915288 102632885|https://github.com/opnsense/tools/pull/43|1915288 149114810|https://github.com/opnsense/tools/pull/57|1915288 160394495|https://github.com/opnsense/tools/pull/64|1915288 163308408|https://github.com/opnsense/tools/pull/67|1915288 169723264|https://github.com/opnsense/tools/pull/69|1915288 171381422|https://github.com/opnsense/tools/pull/72|1915288 179938195|https://github.com/opnsense/tools/pull/77|1915288 196233824|https://github.com/opnsense/tools/pull/82|1915288 215289964|https://github.com/opnsense/tools/pull/93| 219696100|https://github.com/opnsense/tools/pull/97|1915288 223664843|https://github.com/opnsense/tools/pull/99| 228446172|https://github.com/opnsense/tools/pull/103|1915288 238930434|https://github.com/opnsense/tools/pull/110|1915288 255507110|https://github.com/opnsense/tools/pull/119|1915288 255980675|https://github.com/opnsense/tools/pull/120|1915288 261906770|https://github.com/opnsense/tools/pull/125| 263800503|https://github.com/opnsense/tools/pull/127|1915288 264038685|https://github.com/opnsense/tools/pull/128|1915288 264696704|https://github.com/opnsense/tools/pull/129|1915288 266660547|https://github.com/opnsense/tools/pull/130|1915288 273120409|https://github.com/opnsense/tools/pull/133|1915288 274370803|https://github.com/opnsense/tools/pull/135| 276600629|https://github.com/opnsense/tools/pull/139| 277303655|https://github.com/opnsense/tools/pull/141|1915288 293033714|https://github.com/opnsense/tools/pull/145| 294827649|https://github.com/opnsense/tools/pull/146| 295140008|https://github.com/opnsense/tools/pull/147|1915288 305690829|https://github.com/opnsense/tools/pull/150|9783985 307077931|https://github.com/opnsense/tools/pull/152|1915288 321782100|https://github.com/opnsense/tools/pull/155| 337265672|https://github.com/opnsense/tools/pull/160| 337267484|https://github.com/opnsense/tools/pull/161|1915288 368251763|https://github.com/opnsense/tools/pull/169| 428262505|https://github.com/opnsense/tools/pull/181| 437557011|https://github.com/opnsense/tools/pull/182|1915288 447079893|https://github.com/opnsense/tools/pull/185| 461822092|https://github.com/opnsense/tools/pull/191| 463290142|https://github.com/opnsense/tools/pull/193|1915288 470112962|https://github.com/opnsense/tools/pull/194|1915288 472644649|https://github.com/opnsense/tools/pull/195|1915288 488696898|https://github.com/opnsense/tools/pull/198| 513289902|https://github.com/opnsense/tools/pull/201| 522530265|https://github.com/opnsense/tools/pull/203| 564443347|https://github.com/opnsense/tools/pull/213| 597579516|https://github.com/opnsense/tools/pull/220|1915288 602860357|https://github.com/opnsense/tools/pull/221|1915288 608744738|https://github.com/opnsense/tools/pull/222|1915288 623279673|https://github.com/opnsense/tools/pull/228|1915288 664656182|https://github.com/opnsense/tools/pull/233| 664781786|https://github.com/opnsense/tools/pull/234|1915288 670683636|https://github.com/opnsense/tools/pull/235|1915288 683150764|https://github.com/opnsense/tools/pull/237| 685016233|https://github.com/opnsense/tools/pull/238| 687099825|https://github.com/opnsense/tools/pull/239|1915288 715705652|https://github.com/opnsense/tools/pull/244|1915288 715721248|https://github.com/opnsense/tools/pull/245|1915288 ``` `userid` are now present for those PRs that were merged. Without the flag the `merged_by` behavior remains missing as expected when get PRs bulk: ``` $ github-to-sqlite pull-requests ./github.db opnsense/tools $ echo ""select id, url, merged_by from pull_requests;"" | sqlite3 ./github.db 83533612|https://github.com/opnsense/tools/pull/39| 102632885|https://github.com/opnsense/tools/pull/43| 149114810|https://github.com/opnsense/tools/pull/57| 160394495|https://github.com/opnsense/tools/pull/64| 163308408|https://github.com/opnsense/tools/pull/67| 169723264|https://github.com/opnsense/tools/pull/69| 171381422|https://github.com/opnsense/tools/pull/72| 179938195|https://github.com/opnsense/tools/pull/77| 196233824|https://github.com/opnsense/tools/pull/82| 215289964|https://github.com/opnsense/tools/pull/93| 219696100|https://github.com/opnsense/tools/pull/97| 223664843|https://github.com/opnsense/tools/pull/99| 228446172|https://github.com/opnsense/tools/pull/103| 238930434|https://github.com/opnsense/tools/pull/110| 255507110|https://github.com/opnsense/tools/pull/119| 255980675|https://github.com/opnsense/tools/pull/120| 261906770|https://github.com/opnsense/tools/pull/125| 263800503|https://github.com/opnsense/tools/pull/127| 264038685|https://github.com/opnsense/tools/pull/128| 264696704|https://github.com/opnsense/tools/pull/129| 266660547|https://github.com/opnsense/tools/pull/130| 273120409|https://github.com/opnsense/tools/pull/133| 274370803|https://github.com/opnsense/tools/pull/135| 276600629|https://github.com/opnsense/tools/pull/139| 277303655|https://github.com/opnsense/tools/pull/141| 293033714|https://github.com/opnsense/tools/pull/145| 294827649|https://github.com/opnsense/tools/pull/146| 295140008|https://github.com/opnsense/tools/pull/147| 305690829|https://github.com/opnsense/tools/pull/150| 307077931|https://github.com/opnsense/tools/pull/152| 321782100|https://github.com/opnsense/tools/pull/155| 337265672|https://github.com/opnsense/tools/pull/160| 337267484|https://github.com/opnsense/tools/pull/161| 368251763|https://github.com/opnsense/tools/pull/169| 428262505|https://github.com/opnsense/tools/pull/181| 437557011|https://github.com/opnsense/tools/pull/182| 447079893|https://github.com/opnsense/tools/pull/185| 461822092|https://github.com/opnsense/tools/pull/191| 463290142|https://github.com/opnsense/tools/pull/193| 470112962|https://github.com/opnsense/tools/pull/194| 472644649|https://github.com/opnsense/tools/pull/195| 488696898|https://github.com/opnsense/tools/pull/198| 513289902|https://github.com/opnsense/tools/pull/201| 522530265|https://github.com/opnsense/tools/pull/203| 564443347|https://github.com/opnsense/tools/pull/213| 597579516|https://github.com/opnsense/tools/pull/220| 602860357|https://github.com/opnsense/tools/pull/221| 608744738|https://github.com/opnsense/tools/pull/222| 623279673|https://github.com/opnsense/tools/pull/228| 664656182|https://github.com/opnsense/tools/pull/233| 664781786|https://github.com/opnsense/tools/pull/234| 670683636|https://github.com/opnsense/tools/pull/235| 683150764|https://github.com/opnsense/tools/pull/237| 685016233|https://github.com/opnsense/tools/pull/238| 687099825|https://github.com/opnsense/tools/pull/239| 715705652|https://github.com/opnsense/tools/pull/244| 715721248|https://github.com/opnsense/tools/pull/245| ``` Individual PRs passed via `--pull-request` flag behaves as expected (unchanged): ``` $ github-to-sqlite pull-requests ./github.db opnsense/tools --pull-request 39 --pull-request 237 $ echo ""select id, url, merged_by from pull_requests;"" | sqlite3 ./github.db 83533612|https://github.com/opnsense/tools/pull/39|1915288 683150764|https://github.com/opnsense/tools/pull/237| ``` > Picking 1 PR that has a merged_by (39) and one that does not (237)",207052882,github-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/66/reactions"", ""total_count"": 3, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",0, 978086284,MDExOlB1bGxSZXF1ZXN0NzE4NzM0MTkx,22,Make sure that case-insensitive column names are unique,32016596,FabianHertwig,open,0,,,,,1,2021-08-24T13:13:38Z,2021-08-24T13:26:20Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/healthkit-to-sqlite/pulls/22,"This closes #21. When there are metadata entries with the same case insensitive string, then there is an error when trying to create a new column for that metadata entry in the database table, because a column with that case insensitive name already exists. ```xml ``` The code added in this PR checks if a key already exists in a record and if so adds a number at its end. The resulting column names look like the example below then. Interestingly, the column names viewed with Datasette are not case insensitive. ```text startDate, endDate, value, unit, sourceName, sourceVersion, creationDate, metadata_meal, metadata_Meal_2, metadata_Mahlzeit ``` ",197882382,healthkit-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/22/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 981690086,MDExOlB1bGxSZXF1ZXN0NzIxNjg2NzIx,67,Replacing step ID key with step_id,16374374,jshcmpbll,open,0,,,,,0,2021-08-28T01:26:41Z,2021-08-28T01:27:00Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/github-to-sqlite/pulls/67,"Workflows that have an `id` in any step result in the following error when running `workflows`: e.g.`github-to-sqlite workflows github.db nixos/nixpkgs` ```Traceback (most recent call last): File ""/usr/local/bin/github-to-sqlite"", line 8, in sys.exit(cli()) File ""/usr/local/lib/python3.8/dist-packages/click/core.py"", line 1137, in __call__ return self.main(*args, **kwargs) File ""/usr/local/lib/python3.8/dist-packages/click/core.py"", line 1062, in main rv = self.invoke(ctx) File ""/usr/local/lib/python3.8/dist-packages/click/core.py"", line 1668, in invoke```Traceback (most recent call last): File ""/usr/local/bin/github-to-sqlite"", line 8, in sys.exit(cli()) File ""/usr/local/lib/python3.8/dist-packages/click/core.py"", line 1137, in __call__ return self.main(*args, **kwargs) File ""/usr/local/lib/python3.8/dist-packages/click/core.py"", line 1062, in main rv = self.invoke(ctx) File ""/usr/local/lib/python3.8/dist-packages/click/core.py"", line 1668, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/usr/local/lib/python3.8/dist-packages/click/core.py"", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/usr/local/lib/python3.8/dist-packages/click/core.py"", line 763, in invoke return __callback(*args, **kwargs) File ""/usr/local/lib/python3.8/dist-packages/github_to_sqlite/cli.py"", line 601, in workflows utils.save_workflow(db, repo_id, filename, content) File ""/usr/local/lib/python3.8/dist-packages/github_to_sqlite/utils.py"", line 865, in save_workflow db[""steps""].insert_all( File ""/usr/local/lib/python3.8/dist-packages/sqlite_utils/db.py"", line 2596, in insert_all self.insert_chunk( File ""/usr/local/lib/python3.8/dist-packages/sqlite_utils/db.py"", line 2378, in insert_chunk result = self.db.execute(query, params) File ""/usr/local/lib/python3.8/dist-packages/sqlite_utils/db.py"", line 419, in execute return self.conn.execute(sql, parameters) sqlite3.IntegrityError: datatype mismatch ``` - [Information about the ID key in a step for GHA](https://docs.github.com/en/actions/reference/workflow-syntax-for-github-actions#jobsjob_idstepsid) - [An example workflow from a public repo](https://github.com/NixOS/nixpkgs/blob/b4cc66827745e525ce7bb54659845ac89788a597/.github/workflows/direct-push.yml#L16) # Changes I'm proposing that the key for `id` in step is replaced with `step_id` so that it no longer interferes with the table `id` for tracking the record. Special thanks to @sarcasticadmin @egiffen and @ruebenramirez for helping a bit on this 😄 ",207052882,github-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/67/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 987985935,MDExOlB1bGxSZXF1ZXN0NzI2OTkwNjgw,35,Support for Datasette's --base-url setting,2670795,brandonrobertz,open,0,,,,,0,2021-09-03T17:47:45Z,2021-09-03T17:47:45Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/dogsheep-beta/pulls/35,This makes it so you can use Dogsheep if you're using Datasette with the `--base-url /some-path/` setting.,197431109,dogsheep-beta,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/35/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 988493790,MDExOlB1bGxSZXF1ZXN0NzI3MzkwODM1,36,Correct naming of tool in readme,2129,badboy,open,0,,,,,1,2021-09-05T12:05:40Z,2022-01-06T16:04:46Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/dogsheep-photos/pulls/36,,256834907,dogsheep-photos,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/36/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1001104942,PR_kwDOBm6k_c4r-EVH,1475,feat: allow joins using _through in both directions,5268174,bram2000,open,0,,,,,0,2021-09-20T15:28:20Z,2021-09-20T15:28:20Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/1475,"Currently the `_through` clause can only work if the FK relationship is defined in a specific direction. I don't think there is any reason for this limitation, as an FK allows joining in both directions. This is an admittedly hacky change to implement bidirectional joins using `_through`. It does work for our use-case, but I don't know if there are other implications that I haven't thought of. Also if this change is desirable we probably want to make the code a little nicer.",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1475/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1013506559,PR_kwDODFdgUs4skaNS,68,Add support for retrieving teams / members,68329,philwills,open,0,,,,,0,2021-10-01T15:55:02Z,2021-10-01T15:59:53Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/github-to-sqlite/pulls/68,Adds a method for retrieving all the teams within an organisation and all the members in those teams. The latter is stored as a join table `team_members` beteween `teams` and `users`.,207052882,github-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/68/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1042759769,PR_kwDOEhK-wc4uAJb9,15,include note tags in the export,436138,d-rep,open,0,,,,,0,2021-11-02T20:04:31Z,2021-11-02T20:04:31Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/evernote-to-sqlite/pulls/15,"When parsing the Evernote `` elements, the script will now also parse any nested `` elements, writing them out into a separate sqlite table. Here is an example of how to query the data after the script has run: ``` select notes.*, (select group_concat(tag) from notes_tags where notes_tags.note_id=notes.id) as tags from notes; ``` My .enex source file is 3+ years old so I am assuming the structure hasn't changed. Interestingly, my _notebook names_ show up in the _tags_ list where the tag name is prefixed with `notebook_`, so this could maybe help work around the first limitation mentioned in the [evernote-to-sqlite blog post](https://simonwillison.net/2020/Oct/16/building-evernote-sqlite-exporter/). ",303218369,evernote-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/15/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1046887492,PR_kwDODFE5qs4uMsMJ,9,Removed space from filename My Activity.json,91880982,widadmogral,open,0,,,,,0,2021-11-08T00:04:31Z,2021-11-08T00:04:31Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/google-takeout-to-sqlite/pulls/9,"File name from google takeout has no space. The code only runs without error if filename is ""MyActivity.json"" and not ""My Activity.json"". Is it a new change by Google?",206649770,google-takeout-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/9/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1149402080,PR_kwDODFdgUs4zaUta,70,scrape-dependents: enable paging through package menu option if present,36061055,stanbiryukov,open,0,,,,,0,2022-02-24T15:07:25Z,2022-02-24T15:07:25Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/github-to-sqlite/pulls/70,Some repos organize network dependents by a Package toggle. This PR adds the ability to page through those options and scrape underlying dependents.,207052882,github-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/70/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1160327106,PR_kwDODEm0Qs4z_V3w,65,"Update Twitter dev link, clarify apps vs projects",2657547,rixx,open,0,,,,,0,2022-03-05T11:56:08Z,2022-03-05T11:56:08Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/twitter-to-sqlite/pulls/65,"Twitter pushes you heavily towards v2 projects instead of v1 apps – I know the README mentions v1 API compatibility at the top, but I still nearly got turned around here.",206156866,twitter-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/65/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1244082183,PR_kwDODEm0Qs44PPLy,66,Ageinfo workaround,11887,ashanan,open,0,,,,,0,2022-05-21T21:08:29Z,2022-05-21T21:09:16Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/twitter-to-sqlite/pulls/66,"I'm not sure if this is due to a new format or just because my ageinfo file is blank, but trying to import an archive would crash when it got to that file. This PR adds a guard clause in the `ageinfo` transformer and sets a default value that doesn't throw an exception. Seems likely to be the same issue mentioned by danp in https://github.com/dogsheep/twitter-to-sqlite/issues/54, my ageinfo file looks the same. Added that same ageinfo file to the test archive as well to help confirm my workaround didn't break anything. Let me know if you want any changes!",206156866,twitter-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/66/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1250287607,PR_kwDODFE5qs44jvRV,11,Update README.md,11887,ashanan,open,0,,,,,0,2022-05-27T03:13:59Z,2022-05-27T03:13:59Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/google-takeout-to-sqlite/pulls/11,Fix typo,206649770,google-takeout-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/11/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1268121674,PR_kwDOBm6k_c45fz-O,1757,feat: add a wildcard for _json columns,163156,ytjohn,open,0,,,,,1,2022-06-11T01:01:17Z,2022-09-06T00:51:21Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/1757,"This allows _json to accept a wildcard for when there are many JSON columns that the user wants to convert. I hope this is useful. I've tested it on our datasette and haven't ran into any issues. I imagine on a large set of results, there could be some performance issues, but it will probably be negligible for most use cases. On a side note, I ran into an issue where I had to upgrade black on my system beyond the pinned version in setup.py. Here is the upstream issue < . I didn't include this in the PR yet since I didn't look into the issue too far, but I can if you would like.",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1757/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1293698966,PR_kwDOD079W84600uh,37,Fix former command name in readme,578773,DanLipsitt,open,0,,,,,0,2022-07-05T02:09:13Z,2022-07-05T02:09:13Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/dogsheep-photos/pulls/37,Looks like a previous commit missed a `photo-to-sqlite`→ `dogsheep-photos` replacement.,256834907,dogsheep-photos,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/37/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1307359454,PR_kwDOBm6k_c47iWbd,1772,Convert to setup.cfg,89725,kfdm,open,0,,,,,0,2022-07-18T03:39:53Z,2022-07-18T03:39:53Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/1772,"Recent versions of setuptools can run most things from setup.cfg so one can have a simpler version that does not require executing code on install. The bulk of the changes were automated by running https://pypi.org/project/setup-py-upgrade/ with a few minor edits for the bits that it can not auto convert (the initial `get_long_description()` and `get_version()` can not be automatically converted)",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1772/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1353418822,PR_kwDODtX3eM497MOV,5,The program fails when the user has no submissions,2467,fernand0,open,0,,,,,0,2022-08-28T17:25:45Z,2022-08-28T17:25:45Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/hacker-news-to-sqlite/pulls/5,"Tested with: hacker-news-to-sqlite user hacker-news.db fernand0 Result: ` Traceback (most recent call last): File ""/home/ftricas/.pyenv/versions/3.10.6/bin/hacker-news-to-sqlite"", line 8, in sys.exit(cli()) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/click/core.py"", line 1130, in __call__ return self.main(*args, **kwargs) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/click/core.py"", line 1055, in main rv = self.invoke(ctx) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/click/core.py"", line 1657, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/click/core.py"", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/click/core.py"", line 760, in invoke return __callback(*args, **kwargs) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/hacker_news_to_sqlite/cli.py"", line 27, in user submitted = user.pop(""submitted"", None) or [] AttributeError: 'NoneType' object has no attribute 'pop' ` There is a problem of style with the patch (but not sure what to do) because with the new inicialization ( submitted = []) the part or [] is not needed. Maybe there is a more adequate way of doing this.",248903544,hacker-news-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/hacker-news-to-sqlite/issues/5/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1363280254,PR_kwDODFdgUs4-cIa_,76,Add organization support to repos command,2757699,OverkillGuy,open,0,,,,,1,2022-09-06T13:21:42Z,2022-09-06T13:59:08Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/github-to-sqlite/pulls/76,"New --organization flag to signify all given ""usernames"" are private orgs. Adapts API URL to the organization path instead. Not the best implementation, but a first draft to talk around Fixes #75 (badly, no tests, overly vague, untested)",207052882,github-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/76/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1393330070,PR_kwDODD6af84__DNJ,14,Photo links,6782721,redmanmale,open,0,,,,,0,2022-10-01T09:44:15Z,2022-11-18T17:10:49Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/swarm-to-sqlite/pulls/14,"* add to `checkin_details` view new column for a calculated photo links * supported multiple links split by newline * create `events` table if there's no events in the history to avoid SQL errors Fixes #9.",205429375,swarm-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/swarm-to-sqlite/issues/14/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1513237712,PR_kwDODEm0Qs5GUoG_,67,Add support for app-only bearer tokens,26161409,sometimes-i-send-pull-requests,open,0,,,,,0,2022-12-28T23:31:20Z,2022-12-28T23:31:20Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/twitter-to-sqlite/pulls/67,"Previously, twitter-to-sqlite only supported OAuth1 authentication, and the token must be on behalf of a user. However, Twitter also supports application-only bearer tokens, documented here: https://developer.twitter.com/en/docs/authentication/oauth-2-0/bearer-tokens This PR adds support to twitter-to-sqlite for using application-only bearer tokens. To use, the auth.json file just needs to contain a ""bearer_token"" key instead of ""api_key"", ""api_secret_key"", etc.",206156866,twitter-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/67/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1513237982,PR_kwDODEm0Qs5GUoKL,68,Archive: Import mute table,26161409,sometimes-i-send-pull-requests,open,0,,,,,0,2022-12-28T23:32:06Z,2022-12-28T23:32:06Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/twitter-to-sqlite/pulls/68,,206156866,twitter-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/68/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1513238152,PR_kwDODEm0Qs5GUoMM,69,Archive: Import new tweets table name,26161409,sometimes-i-send-pull-requests,open,0,,,,,0,2022-12-28T23:32:44Z,2022-12-28T23:32:44Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/twitter-to-sqlite/pulls/69,"Given the code here, it seems like in the past this file was named ""tweet.js"". In recent exports, it's named ""tweets.js"". The archive importer needs to be modified to take this into account. Existing logic is reused for importing this table. (However, the resulting table name will be different, matching the different file name -- archive_tweets, rather than archive_tweet).",206156866,twitter-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/69/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1513238314,PR_kwDODEm0Qs5GUoN6,70,Archive: Import Twitter Circle data,26161409,sometimes-i-send-pull-requests,open,0,,,,,0,2022-12-28T23:33:09Z,2022-12-28T23:33:09Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/twitter-to-sqlite/pulls/70,,206156866,twitter-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/70/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1513238455,PR_kwDODEm0Qs5GUoPm,71,"Archive: Fix ""ni devices"" typo in importer",26161409,sometimes-i-send-pull-requests,open,0,,,,,0,2022-12-28T23:33:31Z,2022-12-28T23:33:31Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/twitter-to-sqlite/pulls/71,,206156866,twitter-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/71/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1515717718,PR_kwDOC8tyDs5Gc-VH,23,Include workout statistics,2129,badboy,open,0,,,,,0,2023-01-01T17:29:57Z,2023-01-01T17:29:57Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/healthkit-to-sqlite/pulls/23,"Not sure when this changed (iOS 16 maybe?), but the `WorkoutStatistics` now has a whole bunch of information about workouts, e.g. for runs it contains the distance (as a `` element). Adding it as another column at leat allows me to pull these out (using SQLite's JSON support). I'm running with this patch on my own data now.",197882382,healthkit-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/23/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1581218043,PR_kwDOBm6k_c5JyqPy,2025,Add database metadata to index.html template context,9993,palewire,open,0,,,,,0,2023-02-12T11:16:58Z,2023-02-12T11:17:14Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2025,"Fixes #2016 ---- :books: Documentation preview :books:: https://datasette--2025.org.readthedocs.build/en/2025/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2025/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1586980089,PR_kwDOBm6k_c5KF-by,2026,Avoid repeating primary key columns if included in _col args,8513,runderwood,open,0,,,,,0,2023-02-16T04:16:25Z,2023-02-16T04:16:41Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2026,"...while maintaining given order. Fixes #1975 (if I'm understanding correctly). ---- :books: Documentation preview :books:: https://datasette--2026.org.readthedocs.build/en/2026/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2026/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1605481359,PR_kwDOBm6k_c5LDwrF,2031,Expand foreign key references in row view as well,82332573,tmcl-it,open,0,,,,,5,2023-03-01T18:43:09Z,2023-03-24T18:35:25Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2031,"Unlike the table view, the single row view does not resolve foreign key references into labels. This patch extracts the foreign key reference expansion code from TableView.data() into a standalone function that is then called by both TableView.data() and RowView.data(). ---- :books: Documentation preview :books:: https://datasette--2031.org.readthedocs.build/en/2031/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2031/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1613974869,PR_kwDOBm6k_c5LgPS-,2034,remove an unused `app` var in cli.py,4370201,wenhoujx,open,0,,,,,2,2023-03-07T18:19:05Z,2023-03-29T20:56:20Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2034,"this var `app` isn't actually used? unless init it does some side-effect outside of the event loop, idon't think it's necessary. Feel free to ignore this PR if the deleted line actually does something. ---- :books: Documentation preview :books:: https://datasette--2034.org.readthedocs.build/en/2034/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2034/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1639873822,PR_kwDOBm6k_c5M29tt,2044,Expand labels in row view as well (patch for 0.64.x branch),82332573,tmcl-it,open,0,,,,,0,2023-03-24T18:44:44Z,2023-03-24T18:44:57Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2044,"This is a version of #2031 for the 0.64.x branch. ---- :books: Documentation preview :books:: https://datasette--2044.org.readthedocs.build/en/2044/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2044/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1641117021,PR_kwDODtX3eM5M66op,6,Add permalink virtual field to items table,1231935,xavdid,open,0,,,,,1,2023-03-26T22:22:38Z,2023-03-29T18:38:52Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/hacker-news-to-sqlite/pulls/6,"I added a virtual column (no storage overhead) to the output that easily links back to the source. It works nicely out of the box with datasette: ![](https://cdn.zappy.app/faf43661d539ee0fee02c0421de22d65.png) I got bit a bit by https://github.com/simonw/sqlite-utils/issues/411, so I went with a manual `table_xinfo` and creating the table via execute. Happy to adjust if that issue moves, but this seems like it works. I also added my best-guess instructions for local development on this package. I'm shooting in the dark, so feel free to replace with how you work on it locally.",248903544,hacker-news-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/hacker-news-to-sqlite/issues/6/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1650984552,PR_kwDOJHON9s5NbyYN,13,use universal command,14314871,amlestin,open,0,,,,,0,2023-04-02T15:10:54Z,2023-04-02T15:37:34Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/apple-notes-to-sqlite/pulls/13,,611552758,apple-notes-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/13/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1661860507,PR_kwDOBm6k_c5N_bMw,2056,GitHub Action to lint Python code with ruff,3709715,cclauss,open,0,,,,,6,2023-04-11T06:41:27Z,2023-04-15T14:24:46Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2056,"[Ruff](https://beta.ruff.rs/) supports [over 500 lint rules](https://beta.ruff.rs/docs/rules) and can be used to replace [Flake8](https://pypi.org/project/flake8/) (plus dozens of plugins), [isort](https://pypi.org/project/isort/), [pydocstyle](https://pypi.org/project/pydocstyle/), [yesqa](https://github.com/asottile/yesqa), [eradicate](https://pypi.org/project/eradicate/), [pyupgrade](https://pypi.org/project/pyupgrade/), and [autoflake](https://pypi.org/project/autoflake/), all while executing (in Rust) tens or hundreds of times faster than any individual tool. The ruff Action uses minimal steps to run in ~5 seconds, rapidly providing intuitive GitHub Annotations to contributors. ![image](https://user-images.githubusercontent.com/3709715/223758136-afc386d2-70aa-4eff-953a-2c2d82ceea23.png) ---- :books: Documentation preview :books:: https://datasette--2056.org.readthedocs.build/en/2056/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2056/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1674322631,PR_kwDOBm6k_c5OpEz_,2061,"Add ""Packaging a plugin using Poetry"" section in docs",1238873,rclement,open,0,,,,,0,2023-04-19T07:23:28Z,2023-04-19T07:27:18Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2061,"This PR adds a new section about packaging a plugin using `poetry` within the ""Writing plugins"" page of the documentation. ---- :books: Documentation preview :books:: https://datasette--2061.org.readthedocs.build/en/2061/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2061/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1708981860,PR_kwDOBm6k_c5QdMea,2074,sort files by mtime,3919561,abbbi,open,0,,,,,0,2023-05-14T15:25:15Z,2023-05-14T15:25:29Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2074,"serving multiple database files and getting tired by the default sort, changes so the sort order puts the latest changed databases to be on top of the list so don't have to scroll down, lazy as i am ;) ---- :books: Documentation preview :books:: https://datasette--2074.org.readthedocs.build/en/2074/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2074/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1715468032,PR_kwDOBm6k_c5QzEAM,2076,Datsette gpt plugin,130708713,StudioCordillera,open,0,,,,,0,2023-05-18T11:22:30Z,2023-05-18T11:22:45Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2076," ---- :books: Documentation preview :books:: https://datasette--2076.org.readthedocs.build/en/2076/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2076/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1734786661,PR_kwDOBm6k_c5R0fcK,2082,Catch query interrupted on facet suggest row count,10843208,redraw,open,0,,,,,0,2023-05-31T18:42:46Z,2023-05-31T18:45:26Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2082,"Just like facet's `suggest()` is trapping `QueryInterrupted` for facet columns, we also need to trap `get_row_count()`, which can reach timeout if database tables are big enough. I've included `get_columns()` inside the block as that's just another query, despite it's a really cheap one and might never raise the exception. ---- :books: Documentation preview :books:: https://datasette--2082.org.readthedocs.build/en/2082/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2082/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1794604602,PR_kwDOBm6k_c5U-akg,2096,Clarify docs for descriptions in metadata,15906,garthk,open,0,,,,,0,2023-07-08T01:57:58Z,2023-07-08T01:58:13Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2096,"G'day! I got confused while debugging, earlier today. That's on me, but it does strike me a little repetition in the metadata documentation might help those flicking around it rather than reading it from top to bottom. No worries if you think otherwise. ---- :books: Documentation preview :books:: https://datasette--2096.org.readthedocs.build/en/2096/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2096/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1802613340,PR_kwDOBm6k_c5VZhfw,2100,Make primary key view accessible to render_cell hook,1563881,meowcat,open,0,,,,,0,2023-07-13T09:30:36Z,2023-08-10T13:15:41Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2100," ---- :books: Documentation preview :books:: https://datasette--2100.org.readthedocs.build/en/2100/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2100/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1827436260,PR_kwDOD079W85WtVyk,39,Missing option in datasette instructions,319473,coldclimate,open,0,,,,,0,2023-07-29T10:34:48Z,2023-07-29T10:34:48Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/dogsheep-photos/pulls/39,Gotta tell it where to look,256834907,dogsheep-photos,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/39/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1865572575,PR_kwDOBm6k_c5Yt2eO,2155,Fix hupper.start_reloader entry point,79087,cadeef,open,0,,,,,2,2023-08-24T17:14:08Z,2023-09-27T18:44:02Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2155,"Update hupper's entry point so that click commands are processed properly. Fixes #2123 ---- :books: Documentation preview :books:: https://datasette--2155.org.readthedocs.build/en/2155/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2155/reactions"", ""total_count"": 2, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 2, ""eyes"": 0}",0, 1865983069,PR_kwDOBm6k_c5YvQSi,2158,add brand option to metadata.json.,52261150,publicmatt,open,0,,,,,0,2023-08-24T22:37:41Z,2023-08-24T22:37:57Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2158,"This adds a brand link to the top navbar if 'brand' key is populated in metadata.json. The link will be either '#' or use the contents of 'brand_url' in metadata.json for href. I was able to get this done on my own site by replacing `templates/_crumbs.html` with a custom version, but I thought it would be nice to incorporate this in the tool directly. ![image](https://github.com/simonw/datasette/assets/52261150/fdfe9bb5-fee4-466c-8074-6132071d94e6) ---- :books: Documentation preview :books:: https://datasette--2158.org.readthedocs.build/en/2158/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2158/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1866815458,PR_kwDOBm6k_c5YyF-C,2159,Implement Dark Mode colour scheme,3315059,jamietanna,open,0,,,,,0,2023-08-25T10:46:23Z,2023-08-25T10:46:35Z,,FIRST_TIME_CONTRIBUTOR,simonw/datasette/pulls/2159,"Closes #2095. ---- :books: Documentation preview :books:: https://datasette--2159.org.readthedocs.build/en/2159/ ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2159/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1, 1880968405,PR_kwDOJHON9s5ZhYny,14,fix: fix the problem of Chinese character garbling,2698003,barretlee,open,0,,,,,0,2023-09-04T23:48:28Z,2023-09-04T23:48:28Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/apple-notes-to-sqlite/pulls/14,"1. The code uses two different ways of writing encoding formats, `mac_roman` and `macroman`. It is uncertain whether there are any typo errors. 2. When there are Chinese characters in the content, exporting it results in garbled code. Changing it to `utf8` can fix the issue.",611552758,apple-notes-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/14/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 1884499674,PR_kwDODFE5qs5ZtYMc,13,"use poetry for packages, asdf for versioning, and gh actions for ci",150855,iloveitaly,open,0,,,,,0,2023-09-06T17:59:16Z,2023-09-06T17:59:16Z,,FIRST_TIME_CONTRIBUTOR,dogsheep/google-takeout-to-sqlite/pulls/13,"- build: use poetry for package management, asdf for python version - build: cleanup poetry config, add keywords, ignore dist - ci: migrate circleci to gh actions - fix: dup method definition ",206649770,google-takeout-to-sqlite,pull,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/13/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 488874815,MDU6SXNzdWU0ODg4NzQ4MTU=,5,Write tests that simulate the Twitter API,9599,simonw,open,0,,,,,1,2019-09-03T23:55:35Z,2019-09-03T23:56:28Z,,MEMBER,,I can use betamax for this: https://pypi.org/project/betamax/,206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/5/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 496415321,MDU6SXNzdWU0OTY0MTUzMjE=,1,Figure out some interesting example SQL queries,9599,simonw,open,0,,,,,9,2019-09-20T15:28:07Z,2021-05-03T03:46:23Z,,MEMBER,,My knowledge of genetics has left me short here. I'd love to be able to provide some interesting example SELECT queries - maybe one that spots if you are [likely to have red hair?](https://www.snpedia.com/index.php/Rs1805007),209590345,genome-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/genome-to-sqlite/issues/1/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 503243784,MDU6SXNzdWU1MDMyNDM3ODQ=,3,Extract images into separate tables,9599,simonw,open,0,,,,,1,2019-10-07T05:43:01Z,2020-09-01T06:17:45Z,,MEMBER,,"As already done with authors. Slightly harder because images do not have a universally unique ID. Also need to figure out what to do about there being columns for both `image` and `images`. ",213286752,pocket-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/3/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 505673645,MDU6SXNzdWU1MDU2NzM2NDU=,16,Do a better job with archived direct message threads,9599,simonw,open,0,,,,,0,2019-10-11T06:55:21Z,2019-10-11T06:55:27Z,,MEMBER,,https://github.com/dogsheep/twitter-to-sqlite/blob/fb2698086d766e0333a55bb73435e7283feeb438/twitter_to_sqlite/archive.py#L98-L99,206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/16/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 530491074,MDU6SXNzdWU1MzA0OTEwNzQ=,14,Command for importing events,9599,simonw,open,0,,,,,3,2019-11-29T21:28:58Z,2020-04-14T19:38:34Z,,MEMBER,,"Eg from https://api.github.com/users/simonw/events Docs here: https://developer.github.com/v3/activity/events/#list-events-performed-by-a-user",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/14/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 599776345,MDU6SXNzdWU1OTk3NzYzNDU=,24,Feature idea: github-to-sqlite everything ...,9599,simonw,open,0,,,,,0,2020-04-14T18:34:00Z,2020-04-14T18:34:00Z,,MEMBER,,"At the moment if you want to pull all your repos, issues, issues comments etc you have to do it with a sequence of separate commands. Consider adding a `everything` or `all` command which fetches everything that the tool knows how to fetch, and is designed to be run on a cron in a way that fetches just new stuff each time.",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/24/reactions"", ""total_count"": 7, ""+1"": 7, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 602533300,MDU6SXNzdWU2MDI1MzMzMDA=,1,Import photo metadata from Apple Photos into SQLite,9599,simonw,open,0,,,5324096,Apple Photos online and securely browsable,8,2020-04-18T19:23:26Z,2020-05-04T02:41:40Z,,MEMBER,,"Faces, albums, locations, that kind of thing.",256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/1/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 602533481,MDU6SXNzdWU2MDI1MzM0ODE=,3,"Import EXIF data into SQLite - lens used, ISO, aperture etc",9599,simonw,open,0,,,5324096,Apple Photos online and securely browsable,2,2020-04-18T19:24:31Z,2021-10-05T12:38:24Z,,MEMBER,,,256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/3/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 602585497,MDU6SXNzdWU2MDI1ODU0OTc=,7,Integrate image content hashing,9599,simonw,open,0,,,,,2,2020-04-19T00:36:58Z,2021-08-26T02:01:01Z,,MEMBER,,To spot duplicate images (where the file content differs such that the sha256 is no longer a match) it would be useful to calculate and store perceptual hashes of some sort.,256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/7/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",, 602619330,MDU6SXNzdWU2MDI2MTkzMzA=,45,Use raise_for_status() everywhere,9599,simonw,open,0,,,,,1,2020-04-19T04:38:28Z,2020-04-19T04:39:22Z,,MEMBER,,"I keep seeing errors which I think are caused by authentication or rate limit problems but which appear to be unexpected JSON responses - presumably because they are actually an error message. Recent example: https://github.com/simonw/jsk-fellows-on-twitter/runs/598892575 Using `response.raise_for_status()` everywhere will make these errors less confusing.",206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/45/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 606033104,MDU6SXNzdWU2MDYwMzMxMDQ=,12,"If less than 500MB, show size in MB not GB",9599,simonw,open,0,,,,,1,2020-04-24T04:35:01Z,2020-04-24T04:35:25Z,,MEMBER,,"Just saw this: ``` Uploading 0.05 GB ```",256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/12/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 607888367,MDU6SXNzdWU2MDc4ODgzNjc=,13,Also upload movie files,9599,simonw,open,0,,,,,2,2020-04-27T22:11:25Z,2020-04-28T00:39:45Z,,MEMBER,,"The `upload` command currently only handles static images: https://github.com/dogsheep/photos-to-sqlite/blob/d939455af00e07866686457ee2fcb9b2d1b7194e/photos_to_sqlite/utils.py#L26-L33 Need to cover movies taken by my phone and DSLR too.",256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/13/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 608512747,MDU6SXNzdWU2MDg1MTI3NDc=,14,Annotate photos using the Google Cloud Vision API,9599,simonw,open,0,,,,,5,2020-04-28T18:09:03Z,2020-04-28T18:19:06Z,,MEMBER,,"It can detect faces, run OCR, do image labeling (it knows what a lemur is!) and do object localization where it identifies objects and returns bounding polygons for them.",256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/14/reactions"", ""total_count"": 3, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",, 612287234,MDU6SXNzdWU2MTIyODcyMzQ=,16,"Import machine-learning detected labels (dog, llama etc) from Apple Photos",9599,simonw,open,0,,,,,13,2020-05-05T02:45:43Z,2020-05-05T05:38:16Z,,MEMBER,,"Follow-on from #1. Apple Photos runs some very sophisticated machine learning on-device to figure out if photos are of dogs, llamas and so on. I really want to extract those labels out into my own database.",256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16/reactions"", ""total_count"": 2, ""+1"": 0, ""-1"": 0, ""laugh"": 1, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 612860758,MDU6SXNzdWU2MTI4NjA3NTg=,18,Switch CI solution to GitHub Actions with a macOS runner,9599,simonw,open,0,,,,,1,2020-05-05T20:03:50Z,2020-05-05T23:49:18Z,,MEMBER,,Refs #17.,256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/18/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 615626118,MDU6SXNzdWU2MTU2MjYxMTg=,22,Try out ExifReader,9599,simonw,open,0,,,,,4,2020-05-11T06:32:13Z,2020-05-14T05:59:53Z,,MEMBER,,"https://pypi.org/project/ExifReader/ New fork that should be able to handle EXIF in HEIC files. Forked here: https://github.com/ianare/exif-py/issues/102#issuecomment-626376522 Refs #3 ",256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/22/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 621323348,MDU6SXNzdWU2MjEzMjMzNDg=,24,Configurable URL for images,9599,simonw,open,0,,,,,1,2020-05-19T22:25:56Z,2020-05-20T06:00:29Z,,MEMBER,,"This is hard-coded at the moment, which is bad: https://github.com/dogsheep/photos-to-sqlite/blob/d5d69b9019703c47bc251444838578dd752801e2/photos_to_sqlite/cli.py#L269-L272",256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/24/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 621486115,MDU6SXNzdWU2MjE0ODYxMTU=,27,photos_with_apple_metadata view should include labels,9599,simonw,open,0,,,,,0,2020-05-20T06:06:17Z,2020-05-20T06:06:17Z,,MEMBER,,"https://dogsheep-photos.dogsheep.net/public/photos_with_apple_metadata?place_city=New+Orleans&_facet=place_city&_facet_array=albums&_facet_array=persons Here's one way to add that: ```sql select rowid, photo, ( select json_group_array( json_object( 'label', normalized_string, 'href', '/photos/labelled?_hide_sql=1&label=' || normalized_string ) ) from labels where labels.uuid = photos_with_apple_metadata.uuid ) as labels, date, ```",256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/27/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 673602857,MDU6SXNzdWU2NzM2MDI4NTc=,9,Define a view that displays photos correctly,9599,simonw,open,0,,,,,0,2020-08-05T14:53:39Z,2020-08-05T14:53:39Z,,MEMBER,,"The `photos` table stores data like this: id | createdAt | source | prefix | suffix | width | height | visibility | created ▲ | user -- | -- | -- | -- | -- | -- | -- | -- | -- | -- 5e12c9708506bc000840262a | January 06, 2020 - 05:45:20 UTC | Swarm for iOS 1 | https://fastly.4sqi.net/img/general/ | /15889193_AXxGk4I1nbzUZuyYqObgbXdJNyEHiwj6AUDq0tPZWtw.jpg | 1920 | 1440 | public | 2020-01-06T05:45:20 | 15889193 The photo URL can be derived from those pieces - define a SQL view which does that (using `datasette-json-html` to display the pictures)",205429375,swarm-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/swarm-to-sqlite/issues/9/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 689848827,MDU6SXNzdWU2ODk4NDg4Mjc=,6,ISO timestamps,9599,simonw,open,0,,,,,0,2020-09-01T06:16:42Z,2020-09-01T06:16:42Z,,MEMBER,,"The `time_added`, `time_updated` and `time_read` columns currently store data like this: September 19, 2019 - 00:30:30 UTC Should use ISO instead, e.g. `2020-07-26T01:05:24+00:00`",213286752,pocket-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/6/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 689850810,MDU6SXNzdWU2ODk4NTA4MTA=,6,Set up a demo instance,9599,simonw,open,0,,,,,0,2020-09-01T06:20:24Z,2020-09-01T06:20:24Z,,MEMBER,,"Once I've got the Datasette plugin to a state where it's worth building a demo: #3 I can use data from my public https://github-to-sqlite.dogsheep.net/ demo plus the Pocket data subset I use for the demo in https://github.com/dogsheep/pocket-to-sqlite/issues/5 - I could pull in the https://dogsheep-photos.dogsheep.net/ photos data too.",197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/6/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 692202408,MDU6SXNzdWU2OTIyMDI0MDg=,12,Idea: maps and GeoJSON support,9599,simonw,open,0,,,,,0,2020-09-03T18:47:10Z,2020-09-04T01:45:03Z,,MEMBER,,"It would be cool if the `display_sql` could return a column populated with GeoJSON which would the automatically be displayed on a map in the results (or maybe default JS would look for a `class=""geojson""` element output by the `display` template) - ala https://github.com/simonw/datasette-leaflet-geojson Then I could render workout routes on a map, or Swarm checkin points.",197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/12/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 694136490,MDU6SXNzdWU2OTQxMzY0OTA=,15,Add a bunch of config examples,9599,simonw,open,0,,,,,1,2020-09-05T17:58:43Z,2020-09-18T23:17:39Z,,MEMBER,,I can bring these over from my personal Dogsheep.,197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/15/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 694493566,MDU6SXNzdWU2OTQ0OTM1NjY=,16,Timeline view,9599,simonw,open,0,,,,,3,2020-09-06T19:13:58Z,2020-09-21T02:42:29Z,,MEMBER,,Ability to browse (and facet) by date.,197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/16/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 695553522,MDU6SXNzdWU2OTU1NTM1MjI=,18,Deleted records stay in the search index,9599,simonw,open,0,,,,,2,2020-09-08T05:14:23Z,2020-09-08T05:15:51Z,,MEMBER,,"Here's why: https://github.com/dogsheep/dogsheep-beta/blob/24f7898d41a39218058f174c75ba62f7c0fcfff6/dogsheep_beta/utils.py#L44-L53 That should probably do `DELETE FROM index1.search_index WHERE [table] = ?` first.",197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/18/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 695556681,MDU6SXNzdWU2OTU1NTY2ODE=,19,Figure out incremental re-indexing,9599,simonw,open,0,,,,,2,2020-09-08T05:23:31Z,2020-09-08T05:27:07Z,,MEMBER,,As tables get bigger reindexing everything on a schedule (essentially recreating the entire index from scratch) will start to become a performance bottleneck.,197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/19/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 703216044,MDU6SXNzdWU3MDMyMTYwNDQ=,49,Feature: gists and starred gists,9599,simonw,open,0,,,,,0,2020-09-17T02:30:52Z,2020-09-17T02:30:52Z,,MEMBER,,https://developer.github.com/v3/gists/#list-starred-gists,207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/49/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 703218448,MDU6SXNzdWU3MDMyMTg0NDg=,51,Documentation for twitter-to-sqlite fetch,9599,simonw,open,0,,,,,0,2020-09-17T02:38:10Z,2020-09-17T02:38:10Z,,MEMBER,,"It's mentioned in passing in the README but it deserves its own section: ``` $ twitter-to-sqlite fetch \ ""https://api.twitter.com/1.1/account/verify_credentials.json"" \ | grep '""id""' | head -n 1 ```",206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/51/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 703218756,MDU6SXNzdWU3MDMyMTg3NTY=,50,Commands for making authenticated API calls,9599,simonw,open,0,,,,,7,2020-09-17T02:39:07Z,2020-10-19T05:01:29Z,,MEMBER,,"Similar to `twitter-to-sqlite fetch`, see https://github.com/dogsheep/twitter-to-sqlite/issues/51",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/50/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 703246031,MDU6SXNzdWU3MDMyNDYwMzE=,51,github-to-sqlite should handle rate limits better,9599,simonw,open,0,,,,,4,2020-09-17T04:01:50Z,2022-10-14T16:34:07Z,,MEMBER,,From #50 - right now it will crash with an error of it hits the rate limit. Since the rate limit information (including reset time) is available in the headers it could automatically sleep and try again instead.,207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/51/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 705215230,MDU6SXNzdWU3MDUyMTUyMzA=,26,Pagination,9599,simonw,open,0,,,,,7,2020-09-21T00:14:37Z,2020-09-21T02:55:54Z,,MEMBER,,Useful for #16 (timeline view) since you can now filter to just the items on a specific day - but if there are more than 50 items you can't see them all.,197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/26/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 709789634,MDU6SXNzdWU3MDk3ODk2MzQ=,27,Sort order is not persisted by facet filter links,9599,simonw,open,0,,,,,0,2020-09-27T18:22:07Z,2020-09-27T18:22:07Z,,MEMBER,,A link to `/-/beta?category=1×tamp__date=2018-08-01&q=swedish` should be to `/-/beta?category=1×tamp__date=2018-08-01&q=swedish&sort=newest`,197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/27/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 718934942,MDU6SXNzdWU3MTg5MzQ5NDI=,1,Documentation on how to use this with Datasette,9599,simonw,open,0,,,,,1,2020-10-11T21:56:27Z,2020-10-11T22:14:00Z,,MEMBER,,In particular how to use `datasette-render-images` to see the images.,303218369,evernote-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/1/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 718938889,MDU6SXNzdWU3MTg5Mzg4ODk=,5,Figure out how to display images from tags inline in Datasette,9599,simonw,open,0,,,,,6,2020-10-11T22:17:03Z,2020-10-16T20:16:28Z,,MEMBER,,"Relates to #1. Evernote XML looks like this: ```xml
This note includes two images.
The Python logo
The Evernote logo
``` That hash is the md5 we use to store resources. It should be possible to turn these into embedded image tags, especially if done in conjunction with the https://github.com/simonw/datasette-media plugin.",303218369,evernote-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/5/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 724759588,MDU6SXNzdWU3MjQ3NTk1ODg=,29,Add search highlighting snippets,9599,simonw,open,0,,,,,5,2020-10-19T16:00:48Z,2021-08-26T20:23:11Z,,MEMBER,,Like on https://til.simonwillison.net/til/search?q=Snippet,197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/29/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",, 727848625,MDU6SXNzdWU3Mjc4NDg2MjU=,12,"Some workout columns should be float, not text",9599,simonw,open,0,,,,,4,2020-10-23T02:47:02Z,2022-06-23T04:35:02Z,,MEMBER,,"Columns `duration`, `totalDistance` and `totalEnergyBurned` should be converted to float. https://github.com/dogsheep/healthkit-to-sqlite/blob/71e36e1cf034b96de2a8e6652265d782d3fdf63b/healthkit_to_sqlite/utils.py#L50-L57",197882382,healthkit-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/12/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 753000405,MDU6SXNzdWU3NTMwMDA0MDU=,53,Command for fetching file contents,9599,simonw,open,0,,,,,1,2020-11-29T20:31:04Z,2020-11-30T00:36:09Z,,MEMBER,,"Something like this: github-to-sqlite files github.db simonw/datasette This would fetch all files from the `main` branch into a `files` table. Additional options could handle things like pulling files from a branch or tag, or just pulling files that match a specific glob or that exist in a specific directory.",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/53/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 821841046,MDU6SXNzdWU4MjE4NDEwNDY=,6,Upgrade to latest sqlite-utils,9599,simonw,open,0,,,,,1,2021-03-04T07:21:54Z,2021-03-04T07:22:51Z,,MEMBER,,This is pinned to v1 at the moment.,206649770,google-takeout-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/6/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 836923194,MDU6SXNzdWU4MzY5MjMxOTQ=,32,JSON API for search results,9599,simonw,open,0,,,,,0,2021-03-20T22:21:36Z,2021-03-20T22:21:36Z,,MEMBER,,Refs https://github.com/simonw/datasette/issues/878,197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/32/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 897212458,MDU6SXNzdWU4OTcyMTI0NTg=,63,Ability to fetch commits from branches other than the default,9599,simonw,open,0,,,,,0,2021-05-20T17:58:08Z,2021-05-20T17:58:08Z,,MEMBER,,This tool is currently almost entirely ignorant of the concept of branches. One example: you can't retrieve commits from any branch other than the default (usually main).,207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/63/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 952179830,MDU6SXNzdWU5NTIxNzk4MzA=,2,Command for fetching Hacker News threads from the search API,9599,simonw,open,0,,,,,4,2021-07-25T02:00:45Z,2021-07-25T03:12:57Z,,MEMBER,,"I want to be able to fetch every item for a domain, e.g. https://news.ycombinator.com/from?site=simonwillison.net",248903544,hacker-news-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/hacker-news-to-sqlite/issues/2/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 952189173,MDU6SXNzdWU5NTIxODkxNzM=,3,Use HN algolia endpoint to retrieve trees,9599,simonw,open,0,,,,,3,2021-07-25T03:35:27Z,2021-07-25T18:41:17Z,,MEMBER,,"The `trees` command currently has to make a request for every single comment. Algolia have an endpoint that bundles the entire thread together into a single request. `https://hn.algolia.com/api/v1/items/ID` Here's an example that loads quickly, with about 50 comments: https://hn.algolia.com/api/v1/items/27941108 It doesn't appear to use pagination at all - if a thread is big then the response is big. I ran this search to find some stories with more than 1000 comments: https://hn.algolia.com/api/v1/search?tags=story&numericFilters=num_comments%3E=1000 Here's one: https://news.ycombinator.com/item?id=25015967 with 4759 comments. Hitting the API takes 41s and returns 3.7 MB of JSON! ``` wget 'https://hn.algolia.com/api/v1/items/25015967' 0.03s user 0.04s system 0% cpu 41.368 total /tmp % ls -lah 25015967 -rw-r--r-- 1 simon wheel 3.7M Jul 24 20:31 25015967 ```",248903544,hacker-news-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/hacker-news-to-sqlite/issues/3/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 975166271,MDU6SXNzdWU5NzUxNjYyNzE=,20,Add index on workout_points.date,9599,simonw,open,0,,,,,2,2021-08-20T01:08:04Z,2021-08-20T01:12:48Z,,MEMBER,,"Sorting that by date makes sense for seeing most recent points, and my DB has 2.5m points in so it's an expensive sort!",197882382,healthkit-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/20/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1071071397,I_kwDODFdgUs4_10Cl,69,View that combines issues and issue comments,9599,simonw,open,0,,,,,1,2021-12-04T00:34:33Z,2021-12-04T00:34:52Z,,MEMBER,,I want to see a reverse chronologically ordered interface onto both issues and comments - essentially a unified log of comments and issues opened across one or multiple projects.,207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/69/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1570375808,I_kwDODFdgUs5dmgiA,79,Deploy demo job is failing due to rate limit,9599,simonw,open,0,,,,,2,2023-02-03T20:05:01Z,2023-12-08T14:50:15Z,,MEMBER,,https://github.com/dogsheep/github-to-sqlite/actions/runs/4080058087/jobs/7032116511,207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/79/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1616429236,I_kwDOJHON9s5gWMC0,4,Support incremental updates,9599,simonw,open,0,,,,,2,2023-03-09T05:14:00Z,2023-03-09T18:20:56Z,,MEMBER,,"Running this script can take several hours against a large notes database. Would be neat if it could run against just the notes that have been modified since it last ran. Could pull the max `updated` date and then keep on looping until it finds one modified before then. Problem is I don't actually know what order it iterates over the notes in.",611552758,apple-notes-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/4/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1616440856,I_kwDOJHON9s5gWO4Y,5,Configure full text search,9599,simonw,open,0,,,,,0,2023-03-09T05:20:46Z,2023-03-09T05:20:46Z,,MEMBER,,"FTS would be useful. Maybe even extract the plain text from the notes to make that index easier to create, rather than creating it against the HTML. Can use the `plaintext` property for that.",611552758,apple-notes-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/5/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1617602868,I_kwDOJHON9s5gaqk0,6,Character encoding problem,9599,simonw,open,0,,,,,2,2023-03-09T16:44:34Z,2023-04-14T15:22:09Z,,MEMBER,,"I ran against a recent note with this in it: > Or just ""Actions ⚙️ "" And got back: > `Actions ‚öôÔ∏è` Pasting that into https://ftfy.vercel.app/?s=Actions+%E2%80%9A%C3%B6%C3%B4%C3%94%E2%88%8F%C3%A8+ gives this: ```python s = 'Actions â\x80\x9aöôÃ\x94â\x88\x8fè' s = s.encode('latin-1') s = s.decode('utf-8') s = s.encode('macroman') s = s.decode('utf-8') print(s) ``` ",611552758,apple-notes-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/6/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1617938730,I_kwDOJHON9s5gb8kq,9,"Default to just storing plaintext, store HTML if `--html` is passed",9599,simonw,open,0,,,,,0,2023-03-09T20:19:06Z,2023-03-09T20:19:06Z,,MEMBER,,"The full `body` version of the notes can get HUGE, due to embedded images. It turns out for my own purposes I'm usually happy with just the `plaintext` version. I'm tempted to say you don't get HTML unless you pass a `--html` option.",611552758,apple-notes-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/9/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1618130434,I_kwDOJHON9s5gcrYC,11,Implement a SQL view to make it easier to query files in a nested folder,9599,simonw,open,0,,,,,3,2023-03-09T23:19:28Z,2023-03-09T23:24:01Z,,MEMBER,,"Working with nested data in SQL is tricky, can I make it easier with a view or canned query?",611552758,apple-notes-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/11/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1888477283,I_kwDOC8SPRc5wj-Bj,38,Run `rebuild_fts` after building the index,9599,simonw,open,0,,,,,0,2023-09-08T23:17:45Z,2023-09-08T23:17:45Z,,MEMBER,,"In: - https://github.com/simonw/datasette.io/issues/152#issuecomment-1712323347 This turned out to be the fix: ```bash dogsheep-beta index dogsheep-index.db templates/dogsheep-beta.yml sqlite-utils rebuild-fts dogsheep-index.db ```",197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/38/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 281110295,MDU6SXNzdWUyODExMTAyOTU=,173,I18n and L10n support,50138,janimo,open,0,,,,,2,2017-12-11T17:49:58Z,2021-04-26T12:10:01Z,,NONE,,It would be less geeky and more user friendly if the display strings in the filter menu and possibly other parts could be localized.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/173/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 285168503,MDU6SXNzdWUyODUxNjg1MDM=,176,Add GraphQL endpoint,173848,yozlet,open,0,,,,,8,2017-12-29T23:21:01Z,2020-04-21T14:16:24Z,,NONE,,Would make it much easier to build React & similar frontends. Maybe with https://github.com/graphql-python/sanic-graphql ?,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/176/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 299760684,MDU6SXNzdWUyOTk3NjA2ODQ=,185,Metadata should be a nested arbitrary KV store,222245,carlmjohnson,open,0,,,,,12,2018-02-23T16:02:07Z,2019-05-13T18:33:33Z,,NONE,,"I started using the metadata feature and was surprised to find that values are not inherited from the root object down to specific databases and tables. This makes metadata much less useful and requires a lot of pointless duplication. Ideally, metadata should allow arbitrary key-value pairs, and there should be a way of accessing metadata either in an inherited or non-inherited manner. Something like `metadata.page.key` vs. `metadata.this.key` might work as an interface.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/185/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 319449852,MDU6SXNzdWUzMTk0NDk4NTI=,247,SQLite code decoupled from Datasette,11912854,jsancho-gpl,open,0,,,,,1,2018-05-02T08:03:28Z,2018-05-21T15:29:31Z,,NONE,,"I'm working on the possibility of use Datasette with other file formats that aren't SQLite, like files with [PyTables](https://github.com/PyTables/PyTables) format. In order to accomplish that, I've started [a fork for decoupling the code related with SQLite](https://github.com/jsancho-gpl/datasette/tree/feature/db-type-plugin) and putting it in an external connector to allow future connectors for a lot of file formats. It'd be nice if you could look at it and suggest improvements for a possible PR.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/247/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 330826972,MDU6SXNzdWUzMzA4MjY5NzI=,308,"Support extra Heroku apps:create options - region, space, team",78156,annapowellsmith,open,0,,,,,2,2018-06-08T23:08:33Z,2018-09-21T14:09:28Z,,NONE,,"It would be useful to document how to pass Heroku CLI options on `datasette publish`, e.g. `--region eu`.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/308/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 352768017,MDU6SXNzdWUzNTI3NjgwMTc=,362,Add option to include/exclude columns in search filters,78156,annapowellsmith,open,0,,,,,1,2018-08-22T01:32:08Z,2020-11-03T19:01:59Z,,NONE,,"I have a dataset with many columns, of which only some are likely to be of interest for searching. It would be great for usability if the search filters in the UI could be configured to include/exclude columns. See also: https://github.com/simonw/datasette/issues/292",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/362/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 411257981,MDU6SXNzdWU0MTEyNTc5ODE=,412,Linked Data(sette),43340,sfkeller,open,0,,,,,2,2019-02-18T00:38:14Z,2019-03-19T10:09:46Z,,NONE,,"I've a radical feature idea (possible first as an extension in order to experiment?): I'd like to link to a remote table from a remote database, e.g. with a function ""linked_datasette()"". So one could do following query: ``` SELECT foo.id, foo.a, remote_party.b FROM foo JOIN linked_datasette(""https://parlgov.datasettes.com/parlgov-b42a2f2"") AS remote_party ON foo.id=remote_party.id ``` This is inspired by SPARQL's SERVICE keyword for remote RDF ""endpoints"". There's a foundation in the SQL Standard called SQL/MED (https://rhaas.blogspot.com/2011/01/why-sqlmed-is-cool.html ). And here's an implementation from me in Postgres FDW to connect another Postgres ""endpoint"": https://pastebin.com/Fz2v64Cz .",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/412/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 451585764,MDU6SXNzdWU0NTE1ODU3NjQ=,499,Accessibility for non-techie newsies? ,7936571,chrismp,open,0,,,,,3,2019-06-03T16:49:37Z,2019-06-05T21:22:55Z,,NONE,,"Hi again, I'm having fun uploading datasets to Heroku via datasette. I'd like to set up datasette so that it's easy for other newsroom workers, who don't use Linux and aren't programmers, to upload datasets. Does datsette provide this out-of-the-box, or as a plugin? ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/499/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 457147936,MDU6SXNzdWU0NTcxNDc5MzY=,512,"""about"" parameter in metadata does not appear when alone",7936571,chrismp,open,0,,,,,3,2019-06-17T21:04:20Z,2019-10-11T15:49:13Z,,NONE,,"Here's an example of metadata I have for one database on datasette. ``` ""Records-requests"": { ""tables"": { ""Some table"": { ""about"": ""This table has data."" } } } ``` The text in `about` does not show up when I publish the data. But it shows up after I add a `""source""` parameter in the metadata. Is this intended?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/512/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 459882902,MDU6SXNzdWU0NTk4ODI5MDI=,526,Stream all results for arbitrary SQL and canned queries,50578294,matej-fr,open,0,,,,,23,2019-06-24T13:09:45Z,2022-09-28T04:01:25Z,,NONE,,"I think that there is a difficulty with canned queries. When I want to stream all results of a canned query TwoDays I get only first 1.000 records. Example: `http://myserver/history_sample/two_days.csv?_stream=on` returns only first 1.000 records. If I do the same with the whole database i.e. `http://myserver/history_sample/database.csv?_stream=on` I get correctly all records. Any ideas?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/526/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 476852861,MDU6SXNzdWU0NzY4NTI4NjE=,568,Add database_color as a configurable option,50906992,LBHELewis,open,0,,,,,1,2019-08-05T13:14:45Z,2023-08-11T05:19:42Z,,NONE,,This would be really useful as it would allow us to tie in with colour schemes.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/568/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 504720731,MDU6SXNzdWU1MDQ3MjA3MzE=,1,Add more details on how to request data from google takeout correctly.,1055831,dazzag24,open,0,,,,,0,2019-10-09T15:17:34Z,2019-10-09T15:17:34Z,,NONE,,"The default is to download everything. This can result in an enormous amount of data when you only really need 2 types of data for now: - My Activity - Location History In addition unless you specify that ""My Activity"" is downloaded in JSON format the default is HTML. This then causes the `google-takeout-to-sqlite my-activity takeout.db takeout.zip` command to fail as it only contains html files not json files. Thanks",206649770,google-takeout-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/1/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 510076368,MDU6SXNzdWU1MTAwNzYzNjg=,605,Support queries at the table level,12617395,bsilverm,open,0,,,,,2,2019-10-21T15:58:30Z,2019-10-30T18:55:37Z,,NONE,,"Per the issue described in [issue #588](https://github.com/simonw/datasette/issues/588), it was determined queries are not supported at the table level. Per my last comment in the issue, I'd like to request support for this as it would help eliminate errors in the event certain tables are not present in the database.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/605/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 527670799,MDU6SXNzdWU1Mjc2NzA3OTk=,639,updating metadata.json without recreating the app,172847,pkoppstein,open,0,,,,,6,2019-11-24T09:19:53Z,2019-11-30T06:08:50Z,,NONE,,"I've sucessfully ""uploaded"" an SQLite database (with a metadata.json file) to heroku using: $ datasette publish heroku so-sales.db -m metadata.json -n so-sales The question is: how can I modify the (small) metadata.json file without having to upload the (large) SQLite database. The directions on heroku indicate I should run: heroku git:clone -a so-sales But this just results in an empty directory with a warning: warning: You appear to have cloned an empty repository. I've been able to ""clone"" the heroku ""app"" using the command: $ heroku slugs:download -a so-sales but this is not a git repository.... Ideally, it seems to me, there'd be an option of the `datasette` CLI to allow a file to be updated, or there'd be some way to create a local git ""clone"" of the app so that the heroku instructions for ""Deploying with git"" would apply. (p.s. I ran `datasette publish heroku -m metadata.json -n so-sales` in the hope that that would not cause the .db file to be wiped, but of course it was.) (p.p.s. Thanks for Datasette!)",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/639/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 531502365,MDU6SXNzdWU1MzE1MDIzNjU=,646,Make database level information from metadata.json available in the index.html template,18017473,lagolucas,open,0,,,3268330,Datasette 1.0,3,2019-12-02T19:55:10Z,2022-03-15T20:50:34Z,,NONE,,"Did a search on the issues here and didn't find anything related to what I want. I want to have information that is on the database level of the JSON like title, source and source_url, and use it on the index page. I tried some small tweaks on the python and html files, but failed to get that result. Is there a way? Thanks!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/646/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 539204432,MDU6SXNzdWU1MzkyMDQ0MzI=,70,Implement ON DELETE and ON UPDATE actions for foreign keys,26292069,LucasElArruda,open,0,,,,,2,2019-12-17T17:19:10Z,2020-02-27T04:18:53Z,,NONE,,"Hi! I did not find any mention on the library about ON DELETE and ON UPDATE actions for foreign keys. Are those expected to be implemented? If not, it would be a nice thing to include!",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/70/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 541274681,MDU6SXNzdWU1NDEyNzQ2ODE=,2,Add linkedin-to-sqlite,881925,mnp,open,0,,,,,0,2019-12-21T03:13:40Z,2019-12-21T03:13:40Z,,NONE,,"There is an API available. https://developer.linkedin.com/docs/rest-api# At the minimum, I would think contact list and messages would be of interest.",214746582,dogsheep.github.io,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/2/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 548591089,MDU6SXNzdWU1NDg1OTEwODk=,657,Allow creation of virtual tables at startup,1055831,dazzag24,open,0,,,,,4,2020-01-12T16:10:55Z,2021-01-15T20:24:35Z,,NONE,,"Hi, I've been experimenting with SQLite reading from huge datasets using this excellent Parquet extension from @cldellow. https://cldellow.com/2018/06/22/sqlite-parquet-vtable.html https://github.com/cldellow/sqlite-parquet-vtable This works really well, but I was keen to see if I could combine datasette with this. Having previously experimented with the spatialite extension I knew that datasette supports loading extensions in the underlying sqlite instance. However I hit a blocker as the current design only allows SELECT statements to be executed and so I am unable to execute the crucial CREATE VIRTUAL TABLE ......... command that is required to load the data from the parquet file into the table. It seems like this would be a simple-ish change, but I don't know enough about the architecture of datasette to start implementing this myself? Could this be done as a datasette plugin? or would this require more fundamental changes at initialisation time? My thoughts are that something at init time could detect that the user was loading a *.parquet file and then switch to a mode were it loads that via the ""CREATE VIRTUAL TABLE..."" rather than loading the *.db file in the default case?? I'm happy to contribute code and testing, I just need some pointers on the best approach. Thanks Darren",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/657/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 550293770,MDU6SXNzdWU1NTAyOTM3NzA=,658,How do I use the app.css as style sheet?,49656826,null92,open,0,,,,,2,2020-01-15T16:27:57Z,2020-02-07T00:29:50Z,,NONE,,"Simon, I'm trying to use the app.css (in static folder) as style sheet but the datasette on Heroku simply ignore it! I read everything about customization here and on readthedocs but still can't. Is this possible? Thanks!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/658/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 567902704,MDU6SXNzdWU1Njc5MDI3MDQ=,675,--cp option for datasette publish and datasette package for shipping additional files and directories,141844,aviflax,open,0,,,,,12,2020-02-19T22:55:56Z,2020-12-28T18:49:21Z,,NONE,,"I’m working on integrating Datasette into a documentation-oriented publishing workflow internally in my company, and in order to deploy the Docker image created by `datasette package` I need to add an additional file to the image — in my case, it’s a sort of a deployment directive. I’ve worked out a way to do this after the image has been created, but it’s convoluted and brittle. So it’d be excellent if there was an additional option for this command, something like, like, `--copy`. I’d envision it looking something like: ```shell $ datasette package --copy /the/source/path:/the/target/path data.db ``` I’d be happy to help design, specify, implement, and test this feature, if you’d be interested. Thanks for the fantastic tools!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/675/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 612382643,MDU6SXNzdWU2MTIzODI2NDM=,758,Question: Access to immutable database-path,2181410,clausjuhl,open,0,,,,,6,2020-05-05T07:01:18Z,2020-05-28T08:23:27Z,,NONE,,"Hi Simon Is there anywhere in the app-context where one can access the hashed urlpath of the database? Currently it's included in the template-context (`databases[0][""path"")` when rendering urls of the database (eg. `/db-44b06v9/cases`...), but where can I find the hashed url when rendering the index-page? I'm trying to avoid redirects. Thanks!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/758/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 617323873,MDU6SXNzdWU2MTczMjM4NzM=,766,Enable wildcard-searches by default,2181410,clausjuhl,open,0,,,,,2,2020-05-13T10:14:48Z,2021-03-05T16:35:21Z,,NONE,,"Hi Simon. It seems that datasette currently has wildcard-searches disabled by default (along with the boolean search-options, NEAR-queries and more, and despite the docs). If I try out the search-url provided in the [docs](https://datasette.readthedocs.io/en/stable/full_text_search.html#the-table-page-and-table-view-api) (https://fara.datasettes.com/fara/FARA_All_ShortForms?_search=manafort), it does not handle wildcard-searches, and I'm unable to make it work on my datasette-instance. I would argue that wildcard-searches is such a standard query, that it should be enabled by default. Requiring ""_searchmode=raw"" when using prefix-searches seems unnecessary. Plus: What happens to non-ascii searches when using ""_searchmode=raw""? Is the ""escape_fts""-function from datasette.utils ignored? Thanks! /Claus",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/766/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 624490929,MDU6SXNzdWU2MjQ0OTA5Mjk=,28,Invalid SQL no such table: main.uploads,41439,dmd,open,0,,,,,1,2020-05-25T21:25:39Z,2020-12-24T22:26:22Z,,NONE,,"http://127.0.0.1:8001/photos/photos_with_apple_metadata gives ""Invalid SQL no such table: main.uploads""",256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/28/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 629473827,MDU6SXNzdWU2Mjk0NzM4Mjc=,5,Set up a demo,26745575,harryvederci,open,0,,,,,1,2020-06-02T19:56:49Z,2020-09-01T06:18:43Z,,NONE,,"First off, thanks for open sourcing this application! This is a suggestion to increase the amount of people that would make use of it: an example in the readme file would help. Currently, users have to clone the app, install it, authorize through pocket, run a command, an then find out if this application does what they hope it does. Another possibility is to add a file `example-output.db`, containing one (mock) Pocket article. Keep up the good work!",213286752,pocket-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/5/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 639542974,MDU6SXNzdWU2Mzk1NDI5NzQ=,47,Fall back to FTS4 if FTS5 is not available,73579,hpk42,open,0,,,,,3,2020-06-16T10:11:23Z,2020-06-17T20:13:48Z,,NONE,,"got this with version 0.21.1 from pypi. twitter-to-sqlite auth worked but then ""twitter-to-sqlite user-timeline USER.db"" produced a tracekback ending in ""no such module: FTS5"". ",206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/47/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 642388564,MDU6SXNzdWU2NDIzODg1NjQ=,858,publish heroku does not work on Windows 10,870912,simonlau,open,0,,,,,7,2020-06-20T14:40:28Z,2021-06-10T17:44:09Z,,NONE,,"When executing ""datasette publish heroku schools.db"" on Windows 10, I get the following error ```shell File ""c:\users\dell\.virtualenvs\sec-schools-jn-cwk8z\lib\site-packages\datasette\publish\heroku.py"", line 54, in heroku line.split()[0] for line in check_output([""heroku"", ""plugins""]).splitlines() File ""c:\python38\lib\subprocess.py"", line 411, in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, File ""c:\python38\lib\subprocess.py"", line 489, in run with Popen(*popenargs, **kwargs) as process: File ""c:\python38\lib\subprocess.py"", line 854, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, File ""c:\python38\lib\subprocess.py"", line 1307, in _execute_child hp, ht, pid, tid = _winapi.CreateProcess(executable, args, FileNotFoundError: [WinError 2] The system cannot find the file specified ``` Changing https://github.com/simonw/datasette/blob/55a6ffb93c57680e71a070416baae1129a0243b8/datasette/publish/heroku.py#L54 to ```python line.split()[0] for line in check_output([""heroku"", ""plugins""], shell=True).splitlines() ``` as well as the other `check_output()` and `call()` within the same file leads me to another recursive error about temp files",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/858/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 664485022,MDU6SXNzdWU2NjQ0ODUwMjI=,46,Feature: pull request reviews and comments,1326704,bhrutledge,open,0,,,,,6,2020-07-23T13:43:45Z,2022-12-20T14:40:15Z,,NONE,,"Hi there! I saw your [presentation at Boston Python](https://www.meetup.com/bostonpython/events/271887195). I'm already a light user of Datasette (thank you!), but wasn't aware of this project. I've been working on a ""pull request dashboard"" to get a comprehensive view of the state of open PR's, esp. related to reviews (i.e., pending, approved, changes requested). Currently it's a CLI command, but I thought a Datasette UI might be fun. I see that PR's are available from the `issues` command, but I don't see reviews anywhere. From the [API docs](https://docs.github.com/en/rest/reference/pulls#reviews), it looks like there are separate endpoints for those (as well as pull requests in general). What do you think about adding that? Would you accept a PR? Any sense of the level of effort?",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/46/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 664793260,MDU6SXNzdWU2NjQ3OTMyNjA=,2,Yak shave,145425,ekg,open,0,,,,,0,2020-07-23T22:04:18Z,2020-07-23T22:04:18Z,,NONE,,"Just a quick note... The 23andme data is not exactly your genome, but a SNP chip of your genome. It's ""some of your genotypes."" Or about 0.1% of your genome. Nice work in any case! It deserves to be liberated!!!!!",209590345,genome-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/genome-to-sqlite/issues/2/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 697162939,MDU6SXNzdWU2OTcxNjI5Mzk=,20,Add more tags so people can find your project.,7902810,ran88dom99,open,0,,,,,0,2020-09-09T21:14:09Z,2020-09-09T21:14:09Z,,NONE,,"quantified-self habit-tracking google-fit time-tracking wearables quantifiedself for example",197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/20/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 1, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 702386948,MDU6SXNzdWU3MDIzODY5NDg=,159,.delete_where() does not auto-commit (unlike .insert() or .upsert()),11712349,spdkils,open,0,,,,,9,2020-09-16T01:55:52Z,2023-04-01T17:21:05Z,,NONE,,"When you use the delete_where() function on a table, it never commits.... Is that intentional?",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/159/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 707849175,MDU6SXNzdWU3MDc4NDkxNzU=,974,static assets and favicon aren't cached by the browser,45416,obra,open,0,,,,,1,2020-09-24T04:44:55Z,2022-01-13T22:21:28Z,,NONE,,"Using datasette to solve some frustrating problems with our fulfillment provider today, I was surprised to see repeated requests for assets under /-/static and the favicon. While it won't likely be a huge performance bottleneck, I bet datasette would feel a bit zippier if you had Uvicorn serving up some caching-related headers telling the browser it was safe to cache static assets.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/974/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 718238967,MDU6SXNzdWU3MTgyMzg5Njc=,1003,from_json jinja2 filter,649467,mhalle,open,0,,,,,4,2020-10-09T15:30:58Z,2020-10-09T17:17:07Z,,NONE,,"When JSON fields are rendered in a jinja2 template, it is handy to be able to manipulate them as data (e.g., iterate over an array of values). Ansible has a ""from_json"" function, which just called json.loads. It's a trivial as a datasette plugin, but it seems generally useful. Does it makes sense to add it directly into the app?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1003/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 735852274,MDU6SXNzdWU3MzU4NTIyNzQ=,1082,DigitalOcean buildpack memory errors for large sqlite db?,39538958,justmars,open,0,,,,,3,2020-11-04T06:35:32Z,2020-11-04T19:35:44Z,,NONE,,"1. Have a sqlite db stored in Dropbox 2. Previously tried the Digital Ocean build pack minimal approach (e.g. Procfile, requirements.txt, bin/post_compile) 3. bin/post_compile with wget from Dropbox 4. download of large sqlite db is successful 5. log reveals that when building Docker container, Digital Ocean runs out of memory for 5gb+ sqlite db but works fine for 2gb+ sqlite db",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1082/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 764059235,MDU6SXNzdWU3NjQwNTkyMzU=,1143,"More flexible CORS support in core, to encourage good security practices",114388,yurivish,open,0,,,3268330,Datasette 1.0,6,2020-12-12T17:06:35Z,2022-02-13T17:41:17Z,,NONE,,"It would be nice if the `--cors` option accepted an origin regex to more securely allow secure local development. As an example, Observable notebooks namespace every user's notebooks by their username and user content is served from username.observableusercontent.com, so you would set `--cors-origin username.observableusercontent.com` to restrict access to a local development Datasette instance to only your own notebooks, rather than exposing the data to any website that makes a request. Thank you for all of your work on Datasette!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1143/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 769376447,MDU6SXNzdWU3NjkzNzY0NDc=,2,killed by oomkiller on large location-history,231498,khimaros,open,0,,,,,2,2020-12-17T00:32:24Z,2020-12-17T00:48:32Z,,NONE,,"memory seems to grow unbounded and is oom-killed after about 20GB memory usage. this is happening while loading a ~1GB uncompressed location history.",206649770,google-takeout-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/2/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 769397742,MDU6SXNzdWU3NjkzOTc3NDI=,3,sqlite-utils error on takeout import,231498,khimaros,open,0,,,,,0,2020-12-17T01:18:48Z,2020-12-17T01:19:04Z,,NONE,,"``` $ google-takeout-to-sqlite my-activity takeout.db /path/to/zip ... sqlite3.OperationalError: no such table: main.my_activity ``` there is no table create in `utils.py`, unlike other importers such as github-to-sqlite additionally, this package and hackernews-to-sqlite have conflicting `sqlite-utils` dep with datasette and dogsheep-beta",206649770,google-takeout-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/3/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 771608692,MDU6SXNzdWU3NzE2MDg2OTI=,14,UNIQUE constraint failed: workouts.id,1234956,n8henrie,open,0,,,,,5,2020-12-20T15:11:20Z,2023-07-10T14:46:52Z,,NONE,,"I'm getting an error on my initial attempt to import data: ```console $ healthkit-to-sqlite 20201119\ healthkit\ export.zip healthkit.db Importing from HealthKit [###################################-] 98% 00:00:01 Traceback (most recent call last): File ""venv/bin/healthkit-to-sqlite"", line 8, in sys.exit(cli()) File ""venv/lib/python3.9/site-packages/click/core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""venv/lib/python3.9/site-packages/click/core.py"", line 782, in main rv = self.invoke(ctx) File ""venv/lib/python3.9/site-packages/click/core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""venv/lib/python3.9/site-packages/click/core.py"", line 610, in invoke return callback(*args, **kwargs) File ""venv/lib/python3.9/site-packages/healthkit_to_sqlite/cli.py"", line 57, in cli convert_xml_to_sqlite(fp, db, progress_callback=bar.update, zipfile=zf) File ""venv/lib/python3.9/site-packages/healthkit_to_sqlite/utils.py"", line 34, in convert_xml_to_sqlite workout_to_db(el, db, zipfile) File ""venv/lib/python3.9/site-packages/healthkit_to_sqlite/utils.py"", line 57, in workout_to_db pk = db[""workouts""].insert(record, alter=True, hash_id=""id"").last_pk File ""venv/lib/python3.9/site-packages/sqlite_utils/db.py"", line 1660, in insert return self.insert_all( File ""venv/lib/python3.9/site-packages/sqlite_utils/db.py"", line 1778, in insert_all self.insert_chunk( File ""venv/lib/python3.9/site-packages/sqlite_utils/db.py"", line 1588, in insert_chunk result = self.db.execute(query, params) File ""venv/lib/python3.9/site-packages/sqlite_utils/db.py"", line 213, in execute return self.conn.execute(sql, parameters) sqlite3.IntegrityError: UNIQUE constraint failed: workouts.id ```",197882382,healthkit-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/14/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 778380836,MDU6SXNzdWU3NzgzODA4MzY=,4,Feature Request: Gmail,203343,Btibert3,open,0,,,,,5,2021-01-04T21:31:09Z,2021-03-04T20:54:44Z,,NONE,,"From takeout, I only exported my Gmail account. Ideally I could parse this into sqlite via this tool.",206649770,google-takeout-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/4/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 787104850,MDU6SXNzdWU3ODcxMDQ4NTA=,1192,Form Plugin for in-depth Datasette Querying,1024355,tomershvueli,open,0,,,,,0,2021-01-15T18:24:50Z,2021-01-15T18:24:50Z,,NONE,,I envision a sort of easy-to-build form plugin that would be able to map a user's inputs to different fields/columns in a Datasette database. ,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1192/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 791237799,MDU6SXNzdWU3OTEyMzc3OTk=,1196,Access Denied Error in Windows,2826376,QAInsights,open,0,,,,,2,2021-01-21T15:40:40Z,2021-04-14T19:28:38Z,,NONE,,"I am trying to publish a db to vercel. But while issuing the below command throwing `Access Denied` error which is leading to `RecursionError: maximum recursion depth exceeded while calling a Python object`. I am using PyCharm and Python 3.9. I have reinstalled both and launched PyCharm as Admin in Windows 10. But still the issue persists. Issued command `datasette publish vercel jmeter.db --project jmeter --install datasette-vega` PS: localhost is working fine.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1196/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 795367402,MDU6SXNzdWU3OTUzNjc0MDI=,1209,v0.54 500 error from sql query in custom template; code worked in v0.53; found a workaround,11788561,jrdmb,open,0,,,,,1,2021-01-27T19:08:13Z,2021-01-28T23:00:27Z,,NONE,,"v0.54 500 error in sql query template; code worked in v0.53; found a workaround **schema:** CREATE TABLE ""talks"" (""talk"" TEXT,""series"" INTEGER, ""talkdate"" TEXT) CREATE TABLE ""series"" (""id"" INTEGER PRIMARY KEY, ""series"" TEXT, talks_list TEXT default '', website TEXT default ''); **Live example of correctly rendered template in v.053:** https://cosmotalks-cy6xkkbezq-uw.a.run.app/cosmotalks/talks/1 **Description of problem:** I needed 'sql select' code in a custom row-mydatabase-mytable.html template to lookup the series name for a foreign key integer value in the talks table. So `metadata.json` specifies the `datasette-template-sql` plugin. The code below worked perfectly in v0.53 (just the relevant sql statement part is shown; full code is [here](https://github.com/jrdmb/cosmotalks-datasette/blob/main/templates/row-cosmotalks-talks.html)): ``` {# custom addition #} {% for row in display_rows %} ... {% set sname = sql(""select series from series where id = ?"", [row.series]) %} Series name: {{ sname[0].series }} ... {% endfor %} {# End of custom addition #} ``` **In v0.54, that code resulted in a 500 error with a 'no such table series' message.** A second query in that template also did not work but the above is fully illustrative of the problem. All templates were up-to-date along with datasette v0.54. **Workaround:** After fiddling around with trying different things, what worked was the syntax from [Querying a different database from the datasette-template-sql github repo](https://github.com/simonw/datasette-template-sql#querying-a-different-database) to add the database name to the sql statement: `{% set sname = sql(""select series from series where id = ?"", [row.series], database=""cosmotalks"") %}` Though this was found to work, it should not be necessary to add `database=""cosmotalks""` since per the `datasette-template-sql` README, it's only needed when querying a different database, but here it's a table within the same database. ",107914493,datasette,issue,,,,, 797728929,MDU6SXNzdWU3OTc3Mjg5Mjk=,8,QUESTION: extract full text,417363,darribas,open,0,,,,,0,2021-01-31T14:50:10Z,2021-01-31T14:50:10Z,,NONE,,"This may be solved or a feature already, but I couldn't figure it out, is it possible to extract and store also full text from the saved pages? The same way that Pocket parses the text, it'd be amazing to be able to store (and thus make searchable later) the text. Thank you very much for the project, it's such an amazing idea! ",213286752,pocket-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/8/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 801780625,MDU6SXNzdWU4MDE3ODA2MjU=,9,SSL Error,12669260,jfeiwell,open,0,,,,,2,2021-02-05T02:12:56Z,2021-02-07T18:45:04Z,,NONE,,"Here's the error I get when running `pip install pocket-to-sqlite`: ``` Could not fetch URL https://pypi.python.org/simple/pocket-to-sqlite/: There was a problem confirming the ssl certificate: [SSL: TLSV1_ALERT_PROTOCOL_VERSION] tlsv1 alert protocol version (_ssl.c:661) - skipping Could not find a version that satisfies the requirement pocket-to-sqlite (from versions: ) No matching distribution found for pocket-to-sqlite ``` Does this require python 3? ",213286752,pocket-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/9/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 802513359,MDU6SXNzdWU4MDI1MTMzNTk=,1217,Possible to deploy as a python app (for Rstudio connect server)?,6165713,plpxsk,open,0,,,,,4,2021-02-05T22:21:24Z,2022-11-04T11:37:52Z,,NONE,,"Is it possible to deploy a `datasette` application as a python web app? In my enterprise, I have option to deploy python apps via [Rstudio Connect](https://github.com/rstudio/rsconnect-python), and I would like to publish a `datasette` dashboard for sharing. I welcome any pointers to converting `datasette serve` into a python app that can be run as something like `python datasette.py --my_data.db`",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1217/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 803333769,MDU6SXNzdWU4MDMzMzM3Njk=,32,KeyError: 'Contents' on running upload,11855322,robmarkcole,open,0,,,,,3,2021-02-08T08:36:37Z,2021-07-22T06:40:25Z,,NONE,,"Following the readme, on big sur, and having entered my auth creds via `dogsheep-photos s3-auth`: ``` (venv) (base) Robins-MacBook:datasette robin$ dogsheep-photos upload photos.db ~/Pictures/Photos\ /Users/robin/Pictures/Library.photoslibrary --dry-run Fetching existing keys from S3... Traceback (most recent call last): File ""/Users/robin/datasette/venv/bin/dogsheep-photos"", line 8, in sys.exit(cli()) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py"", line 782, in main rv = self.invoke(ctx) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py"", line 610, in invoke return callback(*args, **kwargs) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/dogsheep_photos/cli.py"", line 96, in upload key.split(""."")[0] for key in get_all_keys(client, creds[""photos_s3_bucket""]) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/dogsheep_photos/utils.py"", line 46, in get_all_keys for row in page[""Contents""]: KeyError: 'Contents' ``` Possibly since the bucket is in `EU (London) eu-west-2` and this into is not requested?",256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/32/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 803338729,MDU6SXNzdWU4MDMzMzg3Mjk=,33,photo-to-sqlite: command not found,11855322,robmarkcole,open,0,,,,,4,2021-02-08T08:42:57Z,2021-02-12T15:00:44Z,,NONE,,"Having installed in a venv I get: ``` (venv) (base) Robins-MacBook:datasette robin$ photo-to-sqlite apple-photos photos.db -bash: photo-to-sqlite: command not found ```",256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/33/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 803356942,MDU6SXNzdWU4MDMzNTY5NDI=,1218, /usr/local/opt/python3/bin/python3.6: bad interpreter: No such file or directory,11855322,robmarkcole,open,0,,,,,1,2021-02-08T09:07:00Z,2021-02-23T12:12:17Z,,NONE,,"Error as above, however I do have python3.8 and the readme indicates this is supported. ``` (venv) (base) Robins-MacBook:datasette robin$ ls /usr/local/opt/python3/bin/ .. pip3 python3 python3.8 ```",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1218/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 808771690,MDU6SXNzdWU4MDg3NzE2OTA=,1225,More flexible formatting of records with CSS grid,649467,mhalle,open,0,,,,,0,2021-02-15T19:28:17Z,2021-02-15T19:28:35Z,,NONE,,"In several applications I've been experimenting with alternate formatting of datasette query results. Lately I've found that CSS grids work very well and seem quite general for formatting rows. In CSS I use grid templates to define the layout of each record and the regions for each field, hiding the fields I don't want. It's pretty flexible and looks good. It's also a great basis for highly responsive layout. I initially thought I'd only use this feature for record detail views, but now I use it for index views as well. However, there are some limitations: * With the existing table templates, it seems that you can change the `display` property on the enclosing `table`, `tbody`, and `tr` to make them be grid-like, but that seems hacky (convert `table` and `tbody` to be `display: block` and `tr` to be `display: grid`). * More significantly, it's very nice to have the column name available when rendering each record to display headers/field labels. The existing templates don't do that, so a custom `_table` template is necessary. * I don't know if any plugins are sensitive to whether data is rendered as a table or not since I'm not completely clear how plugins get their data. * Regardless, you need custom CSS to take full advantage of grids. I don't have a proposal on how to integrate them more deeply. It would be helpful to at least have an official example or test that used a grid layout for records to make sure nothing in datasette breaks with it. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1225/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 811054000,MDU6SXNzdWU4MTEwNTQwMDA=,1230,"Vega charts are plotted only for rows on the visible page, cluster maps only for rows in the remaining pages",7107523,Kabouik,open,0,,,,,1,2021-02-18T12:27:02Z,2021-02-18T15:22:15Z,,NONE,,"I filtered a data set on some criteria and obtain 265 results, split over three pages (100, 100, 65), and reazlized that Vega plots are only applied to the results displayed on the current page, instead of the whole filtered data, _e.g._, 100 on page 1, 100 on page 2, 65 on page 3. Is there a way to force the graphs to consider all results instead of just the page, considering that pages rarely represent sensible information? Likewise, while the cluster map does show all results on the first page, if you go to next pages, it will show all remaining results except the previous page(s), _e.g._, 265 on page 1, 165 on page 2, 65 on page 3. In both cases, I don't see many situations where one would like to represent the data this way, and it might even lead to interpretation errors when viewing the data. Am I missing some cases where this would be best? Perhaps a clickable option to subset visual representations according visible pages _vs._ display all search results would do? [Edit] Oh, I just saw the ""Load all"" button under the cluster map as well as the [setting to alter the max number or results](https://docs.datasette.io/en/stable/settings.html#max-returned-rows). So I guess this issue only is about the Vega charts.",107914493,datasette,issue,,,,, 814595021,MDU6SXNzdWU4MTQ1OTUwMjE=,1241,Share button for copying current URL,7107523,Kabouik,open,0,,,,,6,2021-02-23T15:55:40Z,2023-08-24T20:09:52Z,,NONE,,"I use datasette in an `iframe` inside another HTML file that contains other ways to represent my data (mostly leaflets maps built with R on summarized data), and the datasette `iframe` is a tab in that page. This particular use prevents users to access the full URLs of their datasette views and queries, which is a shame because the way datasette handles URLs to make every view or query easy to share is awesome. I know how to get the URL from the context menu of my browser, but I don't think many visitors would do it or even notice that datasette uses permalinks for pretty much every action they do. Would it be possible to add a ""Share link"" button to the interface, either in datasette itself or in a plugin?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1241/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 818684978,MDU6SXNzdWU4MTg2ODQ5Nzg=,243,How can i use this utils to deal with fts on column meta of tables ?,27874014,svjack,open,0,,,,,0,2021-03-01T09:45:05Z,2021-03-01T09:45:05Z,,NONE,,"Thank you to release this bravo project. When i use this project on multi table db, I want to implement convenient search on column name from different tables. I want to develop a meta table to save the meta data of different columns of different tables and search on this meta table to get rows from the data table (which the meta table describes) does this project provide some simple function on it ? You can think a have a knowledge graph about the table in the db, and i save this knowledge graph into the db with fts enabled.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/243/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 824750134,MDU6SXNzdWU4MjQ3NTAxMzQ=,1251,facet option not appearing when table is big,15836677,verajosemanuel,open,0,,,,,0,2021-03-08T16:54:04Z,2021-03-08T16:54:16Z,,NONE,,"I have a big table with more than 500.000 rows. Trying to facet by one of my columns, the options are not available as for the other smaller tables. I have tried to set it in URL as: `&_facet=city_id` to no avail. is there any limit? how can I force the option ""facet"" to appear for big tables? ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1251/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 826064552,MDU6SXNzdWU4MjYwNjQ1NTI=,1253,"Capture ""Ctrl + Enter"" or ""⌘ + Enter"" to send SQL query?",9308268,rayvoelker,open,0,,,,,1,2021-03-09T15:00:50Z,2021-10-30T16:00:42Z,,NONE,,"It appears as though ""Shift + Enter"" triggers the form submit action to submit SQL, but could that action be bound to the ""Ctrl + Enter"" or ""⌘ + Enter"" action? I feel like that pattern already exists in a number of similar tools and could improve usability of the editor.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1253/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 826700095,MDU6SXNzdWU4MjY3MDAwOTU=,1255,Facets timing out but work when filtering,1219001,robroc,open,0,,,,,2,2021-03-09T22:01:39Z,2021-04-02T20:50:08Z,,NONE,,"System info: Windows 10 Datasette 0.55 installed via pip Python 3.8.5 in a conda environment I'm getting the message `These facets timed out` on any faceting operation. However, when I apply a filter, the facets appear in the filtered view. The error returns when the filter is removed. My data only has 38,450 rows.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1255/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 828858421,MDU6SXNzdWU4Mjg4NTg0MjE=,1258,Allow canned query params to specify default values,1385831,wdccdw,open,0,,,,,5,2021-03-11T07:19:02Z,2023-02-20T23:39:58Z,,NONE,,"If I call a canned query that includes named parameters, without passing any parameters, datasette runs the query anyway, resulting in an HTTP status code 400, and a visible error in the browser, with only a link back to home. This means that one of the default links on https://site/database/ will lead to a broken page with no apparent way out. ![image](https://user-images.githubusercontent.com/1385831/110748683-13e72300-820e-11eb-855c-32e03dfef5bf.png) Is there any way to skip performing the query when parameters aren't supplied, but otherwise render the usual canned query page? Alternatively, can I supply default values for my parameters, either when defining my canned queries or when linking to the canned query page from the default database template.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1258/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 830283447,MDU6SXNzdWU4MzAyODM0NDc=,34,bucket name,6213,dsisnero,open,0,,,,,0,2021-03-12T16:40:57Z,2021-03-12T16:40:57Z,,NONE,,I followed the instructions to setup credentials but I am getting a invalid bucket name. Can you put a sample auth.json file in the base that shows the correct format for this? Thanks,256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/34/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 834602299,MDU6SXNzdWU4MzQ2MDIyOTk=,1262,Plugin hook that could support 'order by random()' for table view,19328961,henry501,open,0,,,,,3,2021-03-18T10:02:01Z,2021-03-18T17:55:01Z,,NONE,,"I am frequently using Datasette to quickly get a visual impression for a table without reviewing it in its entirety. Because I have some groups of similar records, the default sorting options mean that each page is very similar and not representative of the full dataset. The current interface allows sorting by columns, but random sorting is only available via custom SQL. Maybe this could be a button or link.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1262/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 836063389,MDU6SXNzdWU4MzYwNjMzODk=,17,Datetime columns are not properly formatted to be recognizes as datetime,1234956,n8henrie,open,0,,,,,0,2021-03-19T14:33:04Z,2021-03-19T14:33:04Z,,NONE,," Currently, the datetimes are formatted in a way that is not recognized by datasette-vega for plotting with a `Date/time` type for the axis. For example, if you have datasette running locally with `datasette-vega` installed and have a database that includes resting heart rate: ``` http://localhost:8001/healthkit/rRestingHeartRate#g.mark=line&g.x_column=startDate&g.x_type=temporal&g.y_column=value&g.y_type=quantitative ``` The plot is blank unless you choose `Label` as the type for the date data. The `startDate` (and `creationDate` and `endDate`) columns appear like: `2019-11-14 18:22:18 -0700` If instead the format for this column is changed slightly: `2019-11-14T18:22:18-07:00` they are recognized as proper dates and the charting works as expected. I have a PR that addresses this issue, will submit shortly.",197882382,healthkit-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/17/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 836829560,MDU6SXNzdWU4MzY4Mjk1NjA=,248,support for Apache Arrow / parquet files I/O,649467,mhalle,open,0,,,,,1,2021-03-20T14:59:30Z,2021-10-28T23:46:48Z,,NONE,,"I just started looking at Apache Arrow using pyarrow for import and export of tabular datasets, and it looks quite compelling. It might be worth looking at for sqlite-utils and/or datasette. As a test, I took a random jsonl data dump of a dataset I have with floats, strings, and ints and converted it to arrow's parquet format using the naive `pyarrow.parquet.write_file()` command, which has automatic type inferrence. It compressed down to 7% of the original size. Conversion of a 26MB JSON file and serializing it to parquet was eyeblink instantaneous. Parquet files are portable and can be directly imported into pandas and other analytics software. The only hangup is the automatic type inference of the naive reader. It's great for general laziness and for parsing JSON columns (it correctly interpreted a table of mine with a JSON array). However, I did get an exception for a string column where most entries looked integer-like but had a couple values that weren't -- the reader tried to coerce all of them for some reason, even though the JSON type is string. Since the writer optionally takes a schema, it shouldn't be too hard to grab the sqlite header types. With some additional hinting, you might get datetime columns and JSON, which are native Arrow types. Somewhat tangentially, someone even wrote an sqlite vfs extension for Parquet: https://cldellow.com/2018/06/22/sqlite-parquet-vtable.html ",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/248/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 842695374,MDU6SXNzdWU4NDI2OTUzNzQ=,35,Support to annotate photos on other than macOS OSes,1151557,ligurio,open,0,,,,,1,2021-03-28T09:01:25Z,2021-04-05T07:37:57Z,,NONE,,dogsheep-photos allows to annotate photos using Apple Photo's db. It would be nice to have such ability on other OSes too. For example using trained local model or using Google Vision API (see #14).,256834907,dogsheep-photos,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-photos/issues/35/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 849512840,MDU6SXNzdWU4NDk1MTI4NDA=,1288,Facets: show counts for null,1111743,jungle-boogie,open,0,,,,,0,2021-04-02T22:33:44Z,2021-04-02T22:33:44Z,,NONE,,"Hi, Thank you for Datasette and being a fan of SQLite! Not all rows in a record will always contain data. So when using a facet on a column where some records have data and others don't, you don't get an accurate count of the results. Please consider also counting and showing null records with facets.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1288/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 863884805,MDU6SXNzdWU4NjM4ODQ4MDU=,1304,"Document how to send multiple values for ""Named parameters"" ",9308268,rayvoelker,open,0,,,,,4,2021-04-21T13:19:06Z,2021-12-08T03:23:14Z,,NONE,,"https://docs.datasette.io/en/stable/sql_queries.html#named-parameters I thought that I had seen an example of how to do this example below, but I can't seem to find it ```sql select * from bib where bib.bib_record_num in (1008088,1008092) ``` ```sql select * from bib where bib.bib_record_num in (:bib_record_numbers) ``` ![image](https://user-images.githubusercontent.com/9308268/115558839-2333a480-a281-11eb-85e6-ce3bada79140.png) https://ilsweb.cincinnatilibrary.org/collection-analysis/current_collection-204d100?sql=select%0D%0A++*%0D%0Afrom%0D%0A++bib%0D%0Awhere%0D%0A++bib.bib_record_num+in+%28%3Abib_record_numbers%29&bib_record_numbers=1008088%2C1008092 Or, maybe this isn't a fully supported feature. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1304/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 870946764,MDU6SXNzdWU4NzA5NDY3NjQ=,1312,how to query many-to-many relationship via json API?,5268174,bram2000,open,0,,,,,0,2021-04-29T12:09:49Z,2021-04-29T12:09:49Z,,NONE,,"Hi, Firstly thanks for Datasette, it's great! I'm trying to use the JSON API to query data from a Datasette instance. I have a simple 3 table many-to-many relationship, like so: `category` - list of categories `document` - list of documents `document_category` - join table (a category contains many documents, and a document can be a member of multiple categories) the `document_category` table foreign keys to the other two using their respective row_ids. Now I want to return ""all documents within category X"" but I cannot see a way to do this without executing two queries; the first to lookup the row_id of category X, and the second to join `document` with `document_category` where category ID is . I could easily write this in SQL, but this makes programmatic handling of pagination much more difficult (we'd have to dynamically modify the SQL to select the row_id and include the correct where and limit clauses). Is there a way to achieve this using the JSON API? ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1312/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 907795562,MDU6SXNzdWU5MDc3OTU1NjI=,265,Using enable_fts before search term,36287,prabhur,open,0,,,,,1,2021-06-01T01:43:34Z,2023-04-01T17:27:18Z,,NONE,,"Many thanks for the sqlite-utils suite of utilities. Has made my life much much easier. I used this to create a table and enable FTS. All works fine. The datasette utility detects FTS and shows a text box. Searching for a term using that interface works well. However, when I start to use features by following https://www.sqlite.org/fts5.html section **""3. Full-text Query Syntax""** I seem to run into issues that I suspect is due to `escape_fts` wrapper function. As an example, if i search for the term `""^குகை"" `on the text box in datasette it produces 140 results. However, when i tweak the query produced by datasette to not use ""escape_fts"" it produces 5 results. Similarly, when I try to restrict the search to a single column in FTS using a spec like `{title : ^குகை}` it returns no rows. The same thing pulls results when used without `escape_fts`. The text in the table is in Tamil language and the search term is a Tamil word. ``` ... where posts_fts match escape_fts(:search) ``` vs ``` ... where posts_fts match (:search) ``` Any ideas why? How can I get the benefits of both escaping as well as utilizing different facets of providing / controlling search terms? Thanks.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/265/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 915421499,MDU6SXNzdWU5MTU0MjE0OTk=,267,row.update() or row.pk,12721157,Gravitar64,open,0,,,,,4,2021-06-08T19:56:00Z,2021-06-22T17:27:27Z,,NONE,,"Hi, fantastic framework for working with Sqlite3 databases!!! I tried to update spezific rows in a table and used for row in db[tablename]: newValue = row[""counter""] * row[""prize""] row.update({""Fieldname"": newValue}) print(row) This updates the value in the printet row, but not in the database. So I switched to db[tablename].update(id, {""Filedname"": newValue}) This works fine. But row.update would be nicer, because no need for the id (its that row), no need for the tablename and the db (all defined in the for row ... loop). Thx ",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/267/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 919822817,MDU6SXNzdWU5MTk4MjI4MTc=,1376,Official Datasette Docker image should use SQLite >= 3.31.0 (for generated columns),1726460,jcgregorio,open,0,,,,,3,2021-06-13T15:25:51Z,2021-06-13T15:39:37Z,,NONE,,"Trying to run datasette via the Docker container doesn't seem to work: ``` $ docker run -p 8001:8001 -v `pwd`:/mnt datasetteproject/datasette datasette -p 8001 -h 0.0.0.0 /mnt/fixtures.db Traceback (most recent call last): File ""/usr/local/bin/datasette"", line 8, in sys.exit(cli()) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 782, in main rv = self.invoke(ctx) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 610, in invoke return callback(*args, **kwargs) File ""/usr/local/lib/python3.9/site-packages/datasette/cli.py"", line 544, in serve asyncio.get_event_loop().run_until_complete(check_databases(ds)) File ""/usr/local/lib/python3.9/asyncio/base_events.py"", line 642, in run_until_complete return future.result() File ""/usr/local/lib/python3.9/site-packages/datasette/cli.py"", line 584, in check_databases await database.execute_fn(check_connection) File ""/usr/local/lib/python3.9/site-packages/datasette/database.py"", line 155, in execute_fn return await asyncio.get_event_loop().run_in_executor( File ""/usr/local/lib/python3.9/concurrent/futures/thread.py"", line 52, in run result = self.fn(*self.args, **self.kwargs) File ""/usr/local/lib/python3.9/site-packages/datasette/database.py"", line 153, in in_thread return fn(conn) File ""/usr/local/lib/python3.9/site-packages/datasette/utils/__init__.py"", line 892, in check_connection for r in conn.execute( sqlite3.DatabaseError: malformed database schema (generated_columns) - near ""AS"": syntax error ``` I have confirmed that the downloaded `fixtures.db` database is fine: ``` [skia-public] jcgregorio@jcgregorio840 ~/Downloads $ sqlite3 fixtures.db SQLite version 3.34.1 2021-01-20 14:10:07 Enter "".help"" for usage hints. sqlite> pragma integrity_check; ok sqlite> ```",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1376/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 920636216,MDU6SXNzdWU5MjA2MzYyMTY=,64,"feature: support ""events""",231498,khimaros,open,0,,,,,5,2021-06-14T17:42:49Z,2021-06-15T00:48:37Z,,NONE,,"the GitHub API provides the ability to fetch all events for a given user, organization, or repository: https://docs.github.com/en/rest/reference/activity#list-events-for-the-authenticated-user this would allow users to export all of the issue comments, new issues, etc. that they created. something which is currently missing from the GitHub takeout exports.",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/64/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 924748955,MDU6SXNzdWU5MjQ3NDg5NTU=,1380,Serve all db files in a folder,193463,stratosgear,open,0,,,,,5,2021-06-18T10:03:32Z,2021-11-13T08:09:11Z,,NONE,,"I tried to get the `serve` command to serve all the .db files in the `/mnt` folder but is seems that the server does not refresh the list of files. In more detail: * Starting datasette as a docker container with: ``` docker run -p 8001:8001 -v `pwd`:/mnt \ datasetteproject/datasette \ datasette -p 8001 -h 0.0.0.0 /mnt ``` * Datasette correctly serves all the *.db files found in the /mnt folder * When the server is running, if I copy a new file in the $PWD folder, Datasette does not seem to see the new files, forcing me to restart Docker. Is there an option/setting that I overlooked, or is this something missing? BTW, the `--reload` setting, although at first glance is what you think you need, does not seem to do anything in regards of seeing all *.db files. Thanks!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1380/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 927385540,MDU6SXNzdWU5MjczODU1NDA=,8,any guidance / experience on imessage-to-sqlite ?,2675621,Casyfill,open,0,,,,,0,2021-06-22T15:46:16Z,2021-06-22T15:46:16Z,,NONE,,,214746582,dogsheep.github.io,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/8/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 930946817,MDU6SXNzdWU5MzA5NDY4MTc=,7,KeyError: 'accuracy' when processing Location History,403152,davidwilemski,open,0,,,,,0,2021-06-27T14:39:43Z,2021-06-27T14:39:43Z,,NONE,,"I'm new to both the dogsheep tools and datasette but have been experimenting a bit the last few days and these are really cool tools! I encountered a problem running my Google location history through this tool running the latest release in a docker container: ``` Traceback (most recent call last): File ""/usr/local/bin/google-takeout-to-sqlite"", line 8, in sys.exit(cli()) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 782, in main rv = self.invoke(ctx) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 610, in invoke return callback(*args, **kwargs) File ""/usr/local/lib/python3.9/site-packages/google_takeout_to_sqlite/cli.py"", line 49, in my_activity utils.save_location_history(db, zf) File ""/usr/local/lib/python3.9/site-packages/google_takeout_to_sqlite/utils.py"", line 27, in save_location_history db[""location_history""].upsert_all( File ""/usr/local/lib/python3.9/site-packages/sqlite_utils/db.py"", line 1105, in upsert_all return self.insert_all( File ""/usr/local/lib/python3.9/site-packages/sqlite_utils/db.py"", line 990, in insert_all chunk = list(chunk) File ""/usr/local/lib/python3.9/site-packages/google_takeout_to_sqlite/utils.py"", line 33, in ""accuracy"": row[""accuracy""], KeyError: 'accuracy' ``` It looks like the tool assumes the `accuracy` key will be in every location history entry. My first attempt at a local patch to get myself going was to convert accessing the `accuracy` key to a `.get` instead to hopefully make the row nullable but I wasn't quite sure what `sqlite_utils` would do there. That did work in that the import happened and so I was going to propose a patch that made that change but in updating the existing test to include an entry with a missing accuracy entry, I noticed the expected type of the field appeared to be changing to a string in the test (and from a quick scan through the sqlite_utils code, probably TEXT in the database). Given this change in column type, it seemed that opening an issue first before proposing a fix seemed warranted. It seems the schema would need to be explicitly specified if you wanted a nullable integer column. Now that I've done a successful import run using my initial fix of calling `.get` on the row dict, I can see with datasette that I only have 7 data points (out of ~250k) that have a null accuracy column. They are all from 2011-2012 in an import that includes points spanning ~2010-2016 so perhaps another approach might be to filter those entries out during import if it really is that infrequent? I'm happy to provide a PR for a fix but figured I'd ask about which direction is preferred first.",206649770,google-takeout-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/7/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 951817328,MDU6SXNzdWU5NTE4MTczMjg=,12,403 when getting token,285352,treyhunner,open,0,,,,,1,2021-07-23T18:43:26Z,2021-10-12T18:31:57Z,,NONE,,"I tried to use https://your-foursquare-oauth-token.glitch.me/ to get my Swarm auth token and got a 403 after I clicked the Allow button: ![image](https://user-images.githubusercontent.com/285352/126826478-60e53614-263d-40bb-9f1d-c1a676644eb0.png) I'm not sure if this is the right repo to report this in",205429375,swarm-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/swarm-to-sqlite/issues/12/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 977128935,MDU6SXNzdWU5NzcxMjg5MzU=,21,Duplicate Column,32016596,FabianHertwig,open,0,,,,,1,2021-08-23T15:00:44Z,2021-08-23T17:00:59Z,,NONE,,"Hey, thank you for this repo! When I try to convert my export, I get a multiple column error. Here is the stack trace: ```sh (.venv) (base) computer:bodyweight_app user$ healthkit-to-sqlite ./data/Health_export.zip ./data/healthkit.db Importing from HealthKit [###############################-----] 87% 00:00:22 Traceback (most recent call last): File ""/MyProject/.venv/bin/healthkit-to-sqlite"", line 10, in sys.exit(cli()) File ""/MyProject/.venv/lib/python3.7/site-packages/click/core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""/MyProject/.venv/lib/python3.7/site-packages/click/core.py"", line 782, in main rv = self.invoke(ctx) File ""/MyProject/.venv/lib/python3.7/site-packages/click/core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/MyProject/.venv/lib/python3.7/site-packages/click/core.py"", line 610, in invoke return callback(*args, **kwargs) File ""/MyProject/.venv/lib/python3.7/site-packages/healthkit_to_sqlite/cli.py"", line 57, in cli convert_xml_to_sqlite(fp, db, progress_callback=bar.update, zipfile=zf) File ""/MyProject/.venv/lib/python3.7/site-packages/healthkit_to_sqlite/utils.py"", line 41, in convert_xml_to_sqlite write_records(records, db) File ""/MyProject/.venv/lib/python3.7/site-packages/healthkit_to_sqlite/utils.py"", line 146, in write_records batch_size=50, File ""/MyProject/.venv/lib/python3.7/site-packages/sqlite_utils/db.py"", line 2579, in insert_all extracts=extracts, File ""/MyProject/.venv/lib/python3.7/site-packages/sqlite_utils/db.py"", line 1246, in create extracts=extracts, File ""/MyProject/.venv/lib/python3.7/site-packages/sqlite_utils/db.py"", line 767, in create_table self.execute(sql) File ""/MyProject/.venv/lib/python3.7/site-packages/sqlite_utils/db.py"", line 421, in execute return self.conn.execute(sql) sqlite3.OperationalError: duplicate column name: metadata_Meal ```",197882382,healthkit-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/21/reactions"", ""total_count"": 5, ""+1"": 5, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 982803408,MDU6SXNzdWU5ODI4MDM0MDg=,1454,Feature Request: Publish to IPFS,1560788,blitmap,open,0,,,,,0,2021-08-30T13:36:18Z,2021-08-30T13:36:18Z,,NONE,,"Hello, I am a huge fan of this being used for exploring data. I think it has a lot of flexibility not found in other tools. I'm not sure if what I'm asking for is possible: Can this be extended to publish to IPFS? IPFS is an attractive hosting option for decentralized journalism. Food for thought ~",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1454/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 983221851,MDU6SXNzdWU5ODMyMjE4NTE=,34,Data folder as index command parameter,1223625,humrochagf,open,0,,,,,0,2021-08-30T21:29:33Z,2021-08-30T21:29:33Z,,NONE,,"Hi, First of all, thank you for this wonderful project :smile: I started to use dogsheep to make my personal data searchable, and by using the project I noticed an issue with the index command. It always expects you are running it from the root folder from where the data is located, so I got some errors while trying to make it work on my setup. I separate all databases inside a `data` folder (I published my setup to be easier to follow: https://github.com/humrochagf/my-dogsheep) Before, I configured `dogsheep.yml` to add the data folder to its path like this: ```yml data/twitter.db: tweets: sql: |- ... ``` And running the index command like this: ``` dogsheep-beta index data/dogsheep.db dogsheep.yml ``` It worked to the normal search feature with no problem this way, but when I started adding `display_sql` rules the app started to crash, because at datasette `get_database` it was looking for `data/twitter` and it only had a db called `twitter` there. So my workaround to that was to cd into the data folder and run the indexer. You can check the way I'm doing it at this line of the makefile: https://github.com/humrochagf/my-dogsheep/blob/main/makefile#L3 It works but it would be nice to have an option to pass the path where the data is located to the index function.",197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/34/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 986829194,MDU6SXNzdWU5ODY4MjkxOTQ=,14,xml.etree.ElementTree.Parse Error - mismatched tag,46968,step21,open,0,,,,,1,2021-09-02T14:46:36Z,2021-09-02T14:53:11Z,,NONE,,"This is an error message I get upon parsing the enex file of my Inbox. Please find the full error message below. Any hints welcome. ``` Importing from ENEX [##################------------------] 50% 00:00:50 Traceback (most recent call last): File ""/Users/utopist/.virtualenvs/evernote-to-sqlite-Og2PIW3Y/bin/evernote-to-sqlite"", line 8, in sys.exit(cli()) File ""/Users/utopist/.virtualenvs/evernote-to-sqlite-Og2PIW3Y/lib/python3.9/site-packages/click/core.py"", line 1137, in __call__ return self.main(*args, **kwargs) File ""/Users/utopist/.virtualenvs/evernote-to-sqlite-Og2PIW3Y/lib/python3.9/site-packages/click/core.py"", line 1062, in main rv = self.invoke(ctx) File ""/Users/utopist/.virtualenvs/evernote-to-sqlite-Og2PIW3Y/lib/python3.9/site-packages/click/core.py"", line 1668, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/Users/utopist/.virtualenvs/evernote-to-sqlite-Og2PIW3Y/lib/python3.9/site-packages/click/core.py"", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/Users/utopist/.virtualenvs/evernote-to-sqlite-Og2PIW3Y/lib/python3.9/site-packages/click/core.py"", line 763, in invoke return __callback(*args, **kwargs) File ""/Users/utopist/.virtualenvs/evernote-to-sqlite-Og2PIW3Y/lib/python3.9/site-packages/evernote_to_sqlite/cli.py"", line 30, in enex for tag, note in find_all_tags(fp, [""note""], progress_callback=bar.update): File ""/Users/utopist/.virtualenvs/evernote-to-sqlite-Og2PIW3Y/lib/python3.9/site-packages/evernote_to_sqlite/utils.py"", line 17, in find_all_tags for event, el in parser.read_events(): File ""/usr/local/Cellar/python@3.9/3.9.6/Frameworks/Python.framework/Versions/3.9/lib/python3.9/xml/etree/ElementTree.py"", line 1329, in read_events raise event File ""/usr/local/Cellar/python@3.9/3.9.6/Frameworks/Python.framework/Versions/3.9/lib/python3.9/xml/etree/ElementTree.py"", line 1301, in feed self._parser.feed(data) xml.etree.ElementTree.ParseError: mismatched tag: line 6837961, column 2 ``` ",303218369,evernote-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/14/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1010112818,I_kwDOBm6k_c48NRky,1479,"Win32 ""used by another process"" error with datasette publish",76450761,kirajano,open,0,,,,,7,2021-09-28T19:12:00Z,2023-09-07T02:14:16Z,,NONE,,"I unfortunately was not successful to deploy to fly.io. Please see the details above of the three scenarios that I took. I am also new to datasette. Failed to deploy. Attaching logs: 1. Tried with an app created via `flyctl apps create frosty-fog-8565` and the ran `datasette publish fly covid.db --app frosty-fog-8565` ``` Deploying frosty-fog-8565 ==> Validating app configuration --> Validating app configuration done Services TCP 80/443 ⇢ 8080 Error error connecting to docker: An unknown error occured. Traceback (most recent call last): File ""c:\users\grott\anaconda3\lib\runpy.py"", line 193, in _run_module_as_main ""__main__"", mod_spec) File ""c:\users\grott\anaconda3\lib\runpy.py"", line 85, in _run_code exec(code, run_globals) File ""C:\Users\grott\Anaconda3\Scripts\datasette.exe\__main__.py"", line 7, in File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 782, in main rv = self.invoke(ctx) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 610, in invoke return callback(*args, **kwargs) File ""c:\users\grott\anaconda3\lib\site-packages\datasette_publish_fly\__init__.py"", line 156, in fly ""--remote-only"", File ""c:\users\grott\anaconda3\lib\contextlib.py"", line 119, in __exit__ next(self.gen) File ""c:\users\grott\anaconda3\lib\site-packages\datasette\utils\__init__.py"", line 451, in temporary_docker_directory tmp.cleanup() File ""c:\users\grott\anaconda3\lib\tempfile.py"", line 811, in cleanup _shutil.rmtree(self.name) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 516, in rmtree return _rmtree_unsafe(path, onerror) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 395, in _rmtree_unsafe _rmtree_unsafe(fullname, onerror) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 404, in _rmtree_unsafe onerror(os.rmdir, path, sys.exc_info()) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 402, in _rmtree_unsafe os.rmdir(path) PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\Users\\grott\\AppData\\Local\\Temp\\tmpgcm8cz66\\frosty-fog-8565' ``` 2. Tried also with an app that gets autogenerate when running `flyctl launch`. This also generates the .toml file. Ran then `datasette publish fly covid.db --app dark-feather-168` **but different error now** ```Deploying dark-feather-168 ==> Validating app configuration Error not possible to validate configuration: server returned Post ""https://api.fly.io/graphql"": unexpected EOF Traceback (most recent call last): File ""c:\users\grott\anaconda3\lib\runpy.py"", line 193, in _run_module_as_main ""__main__"", mod_spec) exec(code, run_globals) File ""C:\Users\grott\Anaconda3\Scripts\datasette.exe\__main__.py"", line 7, in File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 782, in main rv = self.invoke(ctx) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 610, in invoke return callback(*args, **kwargs) File ""c:\users\grott\anaconda3\lib\site-packages\datasette_publish_fly\__init__.py"", line 156, in fly ""--remote-only"", File ""c:\users\grott\anaconda3\lib\contextlib.py"", line 119, in __exit__ next(self.gen) File ""c:\users\grott\anaconda3\lib\site-packages\datasette\utils\__init__.py"", line 451, in temporary_docker_directory tmp.cleanup() File ""c:\users\grott\anaconda3\lib\tempfile.py"", line 811, in cleanup _shutil.rmtree(self.name) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 516, in rmtree return _rmtree_unsafe(path, onerror) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 395, in _rmtree_unsafe _rmtree_unsafe(fullname, onerror) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 404, in _rmtree_unsafe onerror(os.rmdir, path, sys.exc_info()) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 402, in _rmtree_unsafe os.rmdir(path) PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\Users\\grott\\AppData\\Local\\Temp\\tmpnoyewcre\\dark-feather-168' ``` These are also the contents of the generated **.toml file** in 2 scenario: ``` # fly.toml file generated for dark-feather-168 on 2021-09-28T20:35:44+02:00 app = ""dark-feather-168"" kill_signal = ""SIGINT"" kill_timeout = 5 processes = [] [env] [experimental] allowed_public_ports = [] auto_rollback = true [[services]] http_checks = [] internal_port = 8080 processes = [""app""] protocol = ""tcp"" script_checks = [] [services.concurrency] hard_limit = 25 soft_limit = 20 type = ""connections"" [[services.ports]] handlers = [""http""] port = 80 [[services.ports]] handlers = [""tls"", ""http""] port = 443 [[services.tcp_checks]] grace_period = ""1s"" interval = ""15s"" restart_limit = 6 timeout = ""2s"" ``` 3. But also trying `datasette package covid.db` to create a local DOCKERFILE to later try to push it via `flyctl deploy` fails as well. ```[+] Building 147.3s (11/11) FINISHED => [internal] load build definition from Dockerfile 0.2s => => transferring dockerfile: 396B 0.0s => [internal] load .dockerignore 0.1s => => transferring context: 2B 0.0s => [internal] load metadata for docker.io/library/python:3.8 4.7s => [auth] library/python:pull token for registry-1.docker.io 0.0s => [internal] load build context 0.1s => => transferring context: 82.37kB 0.0s => [1/5] FROM docker.io/library/python:3.8@sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3 108.3s => => resolve docker.io/library/python:3.8@sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3b5 0.0s => => sha256:56182bcdf4d4283aa1f46944b4ef7ac881e28b4d5526720a4e9ba03a4730846a 2.22kB / 2.22kB 0.0s => => sha256:955615a668ce169f8a1443fc6b6e6215f43fe0babfb4790712a2d3171f34d366 54.93MB / 54.93MB 21.6s => => sha256:911ea9f2bd51e53a455297e0631e18a72a86d7e2c8e1807176e80f991bde5d64 10.87MB / 10.87MB 15.5s => => sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3b5c5b6 1.86kB / 1.86kB 0.0s => => sha256:ff08f08727e50193dcf499afc30594c47e70cc96f6fcfd1a01240524624264d0 8.65kB / 8.65kB 0.0s => => sha256:2756ef5f69a5190f4308619e0f446d95f5515eef4a814dbad0bcebbbbc7b25a8 5.15MB / 5.15MB 6.4s => => sha256:27b0a22ee906271a6ce9ddd1754fdd7d3b59078e0b57b6cc054c7ed7ac301587 54.57MB / 54.57MB 37.7s => => sha256:8584d51a9262f9a3a436dea09ba40fa50f85802018f9bd299eee1bf538481077 196.45MB / 196.45MB 82.3s => => sha256:524774b7d3638702fe9ae0ea3fcfb81b027dfd75cc2fc14f0119e764b9543d58 6.29MB / 6.29MB 26.6s => => extracting sha256:955615a668ce169f8a1443fc6b6e6215f43fe0babfb4790712a2d3171f34d366 5.4s => => sha256:9460f6b75036e38367e2f27bb15e85777c5d6cd52ad168741c9566186415aa26 16.81MB / 16.81MB 40.5s => => extracting sha256:2756ef5f69a5190f4308619e0f446d95f5515eef4a814dbad0bcebbbbc7b25a8 0.6s => => extracting sha256:911ea9f2bd51e53a455297e0631e18a72a86d7e2c8e1807176e80f991bde5d64 0.6s => => sha256:9bc548096c181514aa1253966a330134d939496027f92f57ab376cd236eb280b 232B / 232B 40.1s => => extracting sha256:27b0a22ee906271a6ce9ddd1754fdd7d3b59078e0b57b6cc054c7ed7ac301587 5.8s => => sha256:1d87379b86b89fd3b8bb1621128f00c8f962756e6aaaed264ec38db733273543 2.35MB / 2.35MB 41.8s => => extracting sha256:8584d51a9262f9a3a436dea09ba40fa50f85802018f9bd299eee1bf538481077 18.8s => => extracting sha256:524774b7d3638702fe9ae0ea3fcfb81b027dfd75cc2fc14f0119e764b9543d58 1.2s => => extracting sha256:9460f6b75036e38367e2f27bb15e85777c5d6cd52ad168741c9566186415aa26 2.9s => => extracting sha256:9bc548096c181514aa1253966a330134d939496027f92f57ab376cd236eb280b 0.0s => => extracting sha256:1d87379b86b89fd3b8bb1621128f00c8f962756e6aaaed264ec38db733273543 0.8s => [2/5] COPY . /app 2.3s => [3/5] WORKDIR /app 0.2s => [4/5] RUN pip install -U datasette 26.9s => [5/5] RUN datasette inspect covid.db --inspect-file inspect-data.json 3.1s => exporting to image 1.2s => => exporting layers 1.2s => => writing image sha256:b5db0c205cd3454c21fbb00ecf6043f261540bcf91c2dfc36d418f1a23a75d7a 0.0s Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them Traceback (most recent call last): ""__main__"", mod_spec) File ""c:\users\grott\anaconda3\lib\runpy.py"", line 85, in _run_code exec(code, run_globals) File ""C:\Users\grott\Anaconda3\Scripts\datasette.exe\__main__.py"", line 7, in File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 782, in main rv = self.invoke(ctx) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""c:\users\grott\anaconda3\lib\site-packages\click\core.py"", line 610, in invoke return callback(*args, **kwargs) File ""c:\users\grott\anaconda3\lib\site-packages\datasette\cli.py"", line 283, in package call(args) File ""c:\users\grott\anaconda3\lib\contextlib.py"", line 119, in __exit__ next(self.gen) File ""c:\users\grott\anaconda3\lib\site-packages\datasette\utils\__init__.py"", line 451, in temporary_docker_directory tmp.cleanup() File ""c:\users\grott\anaconda3\lib\tempfile.py"", line 811, in cleanup _shutil.rmtree(self.name) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 516, in rmtree return _rmtree_unsafe(path, onerror) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 395, in _rmtree_unsafe _rmtree_unsafe(fullname, onerror) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 404, in _rmtree_unsafe onerror(os.rmdir, path, sys.exc_info()) File ""c:\users\grott\anaconda3\lib\shutil.py"", line 402, in _rmtree_unsafe os.rmdir(path) PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\\Users\\grott\\AppData\\Local\\Temp\\tmpkb27qid3\\datasette'```",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1479/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1049946823,I_kwDOBm6k_c4-lOrH,1502,"Full-text search: No support to unary ""-"" operator",516827,gustavorps,open,0,,,,,0,2021-11-10T15:11:19Z,2021-11-10T15:11:19Z,,NONE,,"Reference: https://www.sqlite.org/fts3.html#set_operations_using_the_standard_query_syntax Test: https://fara.datasettes.com/fara/FARA_All_ShortForms?_search=manafort+-freedman&_sort=rowid",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1502/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1063982712,I_kwDODEm0Qs4_axZ4,60,Execution on Windows,1733616,bernard01,open,0,,,,,1,2021-11-26T00:24:34Z,2022-10-14T16:58:27Z,,NONE,,"My installation on Windows using pip has been successful. I have Python 3.6. How do I run twitter-to-sqlite? I cannot even figure out how ""auth"" is a command. I have python on my path: C:\prog\python\Python36;C:\prog\python\Python36\Scripts Where should the commands be executed, and where are the files created? Could some basics please be added to the documentation to get beginners started?",206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/60/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1072106103,I_kwDOBm6k_c4_5wp3,1542,feature request: order and dependency of plugins (that use js),33631,fs111,open,0,,,,,1,2021-12-06T12:40:45Z,2021-12-15T17:47:08Z,,NONE,,"I have been playing with datasette for the last couple of weeks and it is great! I am a big fan of `datasette-cluster-map` and wanted to enhance it a bit with a what I would call a sub-plugin. I basically want to add more controls to the map that cluster map provides. I have been looking into its code and how the plugin management works, but it seems what I am trying to do is not doable without hacks in js. Basically what would like to have is a way to say load my plugin after the plugins I depend on have been loaded and rendered. There seems to be no prior art where plugins have these dependencies on the js level so I was wondering if that could be added or if it exists how to do it. Basically what I want to do is: my-awesome-plugin has a dependency on datastte-cluster-map. Whenever datasette cluster map has finished rendering on page load, call my plugin, but no earlier. To make that work datasette probably needs some total order in which way plugins are loaded intialized. Since I am new to datastte, I may be missing something obvious, so please let me know if the above makes no sense.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1542/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1077560091,I_kwDODEm0Qs5AOkMb,61,"Data Pull fails for ""Essential"" level access to the Twitter API (for Documentation)",57161638,jmnickerson05,open,0,,,,,1,2021-12-11T14:59:41Z,2022-10-31T14:47:58Z,,NONE,,"Per Twitter documentation: https://developer.twitter.com/en/docs/twitter-api/getting-started/about-twitter-api#v2-access-leve This isn't any fault of twitter-to-sqlite of course, but it should probably be documented as a side-note. ![image](https://user-images.githubusercontent.com/57161638/145681272-8c85b3b9-be95-44ff-9760-1bafa4917ce2.png) And this is how I'm surfacing the message from utils.py: ![image](https://user-images.githubusercontent.com/57161638/145681005-2776c0ad-9822-4461-b43a-450ab2e828eb.png) ",206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/61/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1082651698,I_kwDOCGYnMM5Ah_Qy,358,Support for CHECK constraints,11597658,luxint,open,0,,,,,7,2021-12-16T21:19:45Z,2022-09-25T07:15:59Z,,NONE,,"Hi, I noticed the `transform.table()` method doesn't have an option to add/change or drop a check constraint (see https://sqlite.org/lang_createtable.html -> 3.7 Check Constraints. would be great to have this as an option! ",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/358/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1091257796,I_kwDOBm6k_c5BC0XE,1584,give error with recursive sql,58088336,tunguyenatwork,open,0,,,,,0,2021-12-30T18:53:16Z,2021-12-30T18:53:16Z,,NONE,,"I got an error ""near ""WITH"": syntax error"" after I upgraded to version 0.59 from 0.52.4. This error is related to recursive sql. It works great on the previous version but it failed after upgraded. Below is an example of sql: WITH RECURSIVE manager_of(position, super_position) AS (SELECT position, case ifnull(INDIRECT_SUPER_POSITION,'') when '' then super_position else INDIRECT_SUPER_POSITION end as SUPER_POSITION FROM position where super_position<>'SGV000000001' and super_position!='' and position <> super_position),chain_manager_of_position(position, level) AS (SELECT super_position, 1 as level FROM manager_of WHERE super_position!='' and (position=:pos or position in (Select position from employee where employee=:ein)) UNION ALL SELECT super_position, level+1 as level FROM manager_of JOIN chain_manager_of_position USING(position)) SELECT * FROM chain_manager_of_position left join employee using(position) where employee is not NULL order by level limit 1",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1584/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1091850530,I_kwDODEm0Qs5BFFEi,63,Import archive error 'withheld_in_countries',521097,pauloxnet,open,0,,,,,0,2022-01-01T16:58:59Z,2022-01-01T16:58:59Z,,NONE,,"Importing the twitter archive I received this error: ```bash $ twitter-to-sqlite import archive.db twitter-2021-12-31-.zip birdwatch-note-rating: not yet implemented birdwatch-note: not yet implemented branch-links: not yet implemented community-tweet: not yet implemented contact: not yet implemented device-token: not yet implemented direct-message-mute: not yet implemented mute: not yet implemented periscope-account-information: not yet implemented periscope-ban-information: not yet implemented periscope-broadcast-metadata: not yet implemented periscope-comments-made-by-user: not yet implemented periscope-expired-broadcasts: not yet implemented periscope-followers: not yet implemented periscope-profile-description: not yet implemented professional-data: not yet implemented protected-history: not yet implemented reply-prompt: not yet implemented screen-name-change: not yet implemented smartblock: not yet implemented spaces-metadata: not yet implemented sso: not yet implemented Traceback (most recent call last): File ""/home/paulox/.virtualenvs/dogsheep/bin/twitter-to-sqlite"", line 8, in sys.exit(cli()) File ""/home/paulox/.virtualenvs/dogsheep/lib/python3.9/site-packages/click/core.py"", line 1128, in __call__ return self.main(*args, **kwargs) File ""/home/paulox/.virtualenvs/dogsheep/lib/python3.9/site-packages/click/core.py"", line 1053, in main rv = self.invoke(ctx) File ""/home/paulox/.virtualenvs/dogsheep/lib/python3.9/site-packages/click/core.py"", line 1659, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/home/paulox/.virtualenvs/dogsheep/lib/python3.9/site-packages/click/core.py"", line 1395, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/home/paulox/.virtualenvs/dogsheep/lib/python3.9/site-packages/click/core.py"", line 754, in invoke return __callback(*args, **kwargs) File ""/home/paulox/.virtualenvs/dogsheep/lib/python3.9/site-packages/twitter_to_sqlite/cli.py"", line 759, in import_ archive.import_from_file(db, filename, content) File ""/home/paulox/.virtualenvs/dogsheep/lib/python3.9/site-packages/twitter_to_sqlite/archive.py"", line 246, in import_from_file db[table_name].insert_all(rows, pk=pk, replace=True) File ""/home/paulox/.virtualenvs/dogsheep/lib/python3.9/site-packages/sqlite_utils/db.py"", line 2625, in insert_all self.insert_chunk( File ""/home/paulox/.virtualenvs/dogsheep/lib/python3.9/site-packages/sqlite_utils/db.py"", line 2406, in insert_chunk result = self.db.execute(query, params) File ""/home/paulox/.virtualenvs/dogsheep/lib/python3.9/site-packages/sqlite_utils/db.py"", line 422, in execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: table archive_tweet has no column named withheld_in_countries ``` I found only a single tweet with the key `withheld_in_countries` in `tweet.js` that seems the problems: ```JSON [ { ""tweet"" : { ""retweeted"" : false, ""source"" : ""Twitter for Android"", ""entities"" : { ""hashtags"" : [ { ""text"" : ""NowOnAndroid"", ""indices"" : [ ""64"", ""77"" ] } ], ""symbols"" : [ ], ""user_mentions"" : [ { ""name"" : ""Periscope"", ""screen_name"" : ""PeriscopeCo"", ""indices"" : [ ""3"", ""15"" ], ""id_str"" : ""1111111111"", ""id"" : ""222222222"" } ], ""urls"" : [ { ""url"" : ""https://t.co/xxxxxxxxx"", ""expanded_url"" : ""https://vine.co/v/xxxxxxxxx"", ""display_url"" : ""vine.co/v/xxxxxxxxxx"", ""indices"" : [ ""78"", ""101"" ] } ] }, ""display_text_range"" : [ ""0"", ""101"" ], ""favorite_count"" : ""0"", ""id_str"" : ""1111111111111111111111"", ""truncated"" : false, ""retweet_count"" : ""0"", ""withheld_in_countries"" : [ ""TR"" ], ""id"" : ""000000000000000000"", ""possibly_sensitive"" : false, ""created_at"" : ""Fri Aug 14 06:04:03 +0000 2015"", ""favorited"" : false, ""full_text"" : ""RT @periscopeco: Travel the world. LIVE. The Global Map is here #NowOnAndroid https://t.co/NZXdsPWROk"", ""lang"" : ""en"" } } ] ``` I solved the error removing the key from the `tweet.js` but I'm reporting this error to improve the project.",206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/63/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1097332098,I_kwDODEm0Qs5BZ_WC,64,Include all entities for tweets,111631,max,open,0,,,,,0,2022-01-09T23:35:28Z,2022-01-09T23:35:28Z,,NONE,,"Per our conversation [on Twitter](https://twitter.com/mschoening/status/1480312477246054401): It would be neat if all entities (including URLs) were captured. This way you can ensure, that URLs are parsed out exactly the same way Twitter parses URLs – we all know parsing URLs with a regex ain't fun. Right now, I believe the tool filters out all entities that are not of type `media`.",206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/64/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1121121305,I_kwDOBm6k_c5C0vQZ,1618,"Reconsider policy on blocking queries containing the string ""pragma""",770231,strada,open,0,,,,,6,2022-02-01T19:39:46Z,2022-02-02T19:42:03Z,,NONE,,"First of all, thanks for creating this cool project, and also supporting publishing to various hosting services out of the box. While testing out, I noticed legitimate queries such as ``` select * from books where title like 'Pragmatic%' ``` or ``` select * from books where title = 'The Pragmatic Programmer' ``` are blocked, due to the regular expression check here: https://github.com/simonw/datasette/blob/main/datasette/utils/__init__.py#L185 Example as seen from a Datasette instance: https://fivethirtyeight.datasettes.com/polls?sql=select+*+from+books+where+title+like+%27Pragmatic%25%27%0D%0A I'd propose a regular expression like ``` re.compile(f""pragma_(?!({'|'.join(allowed_pragmas)}))""), ``` instead of ``` re.compile(f""pragma(?!_({'|'.join(allowed_pragmas)}))""), ``` I can create a pull request with this change, unless the maintainers think it would allow unwanted queries to be executed. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1618/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1123393829,I_kwDODFE5qs5C9aEl,10,sqlite3.OperationalError: no such table: main.my_activity,69208826,glxblt14,open,0,,,,,1,2022-02-03T17:59:29Z,2022-03-20T02:38:07Z,,NONE,,"Hello, When i run the command `google-takeout-to-sqlite my-activity db.db takeout-20220203T174446Z-001.zip`, i get this error : ``` Traceback (most recent call last): File ""c:\users\julie\appdata\local\programs\python\python39-32\lib\runpy.py"", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File ""c:\users\julie\appdata\local\programs\python\python39-32\lib\runpy.py"", line 87, in _run_code exec(code, run_globals) File ""C:\Users\julie\AppData\Local\Programs\Python\Python39-32\Scripts\google-takeout-to-sqlite.exe\__main__.py"", line 7, in File ""c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\click\core.py"", line 1128, in __call__ return self.main(*args, **kwargs) File ""c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\click\core.py"", line 1053, in main rv = self.invoke(ctx) File ""c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\click\core.py"", line 1659, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\click\core.py"", line 1395, in invoke return ctx.invoke(self.callback, **ctx.params) File ""c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\click\core.py"", line 754, in invoke return __callback(*args, **kwargs) File ""c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\google_takeout_to_sqlite\cli.py"", line 31, in my_activity utils.save_my_activity(db, zf) File ""c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\google_takeout_to_sqlite\utils.py"", line 19, in save_my_activity db[""my_activity""].create_index([""time""]) File ""c:\users\julie\appdata\local\programs\python\python39-32\lib\site-packages\sqlite_utils\db.py"", line 629, in create_index self.db.conn.execute(sql) sqlite3.OperationalError: no such table: main.my_activity ``` Thank you for your help Sorry for my bad English EDIT: i used the json format",206649770,google-takeout-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/10/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1128466114,I_kwDOCGYnMM5DQwbC,406,Creating tables with custom datatypes,82988,psychemedia,open,0,,,,,5,2022-02-09T12:16:31Z,2022-09-15T18:13:50Z,,NONE,,"Via https://stackoverflow.com/a/18622264/454773 I note the ability to register custom handlers for novel datatypes that can map into and out of things like sqlite `BLOB`s. From a quick look and a quick play, I didn't spot a way to do this in `sqlite_utils`? For example: ```python # Via https://stackoverflow.com/a/18622264/454773 import sqlite3 import numpy as np import io def adapt_array(arr): """""" http://stackoverflow.com/a/31312102/190597 (SoulNibbler) """""" out = io.BytesIO() np.save(out, arr) out.seek(0) return sqlite3.Binary(out.read()) def convert_array(text): out = io.BytesIO(text) out.seek(0) return np.load(out) # Converts np.array to TEXT when inserting sqlite3.register_adapter(np.ndarray, adapt_array) # Converts TEXT to np.array when selecting sqlite3.register_converter(""array"", convert_array) ``` ```python from sqlite_utils import Database db = Database('test.db') # Reset the database connection to used the parsed datatype # sqlite_utils doesn't seem to support eg: # Database('test.db', detect_types=sqlite3.PARSE_DECLTYPES) db.conn = sqlite3.connect(db_name, detect_types=sqlite3.PARSE_DECLTYPES) # Create a table the old fashioned way # but using the new custom data type vector_table_create = """""" CREATE TABLE dummy (title TEXT, vector array ); """""" cur = db.conn.cursor() cur.execute(vector_table_create) # sqlite_utils doesn't appear to support custom types (yet?!) # The following errors on the ""array"" datatype """""" db[""dummy""].create({ ""title"": str, ""vector"": ""array"", }) """""" ``` We can then add / retrieve records from the database where the datatype of the `vector` field is a custom registered `array` type (which is to say, a `numpy` array): ```python import numpy as np db[""dummy""].insert({'title':""test1"", 'vector':np.array([1,2,3])}) for row in db.query(""SELECT * FROM dummy""): print(row['title'], row['vector'], type(row['vector'])) """""" test1 [1 2 3] """""" ``` It would be handy to be able to do this idiomatically in `sqlite_utils`.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/406/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1129052172,I_kwDOBm6k_c5DS_gM,1633,base_url or prefix does not work with _exact match,6613091,henrikek,open,0,,,,,2,2022-02-09T21:45:07Z,2022-04-28T09:12:56Z,,NONE,,"When i hit ""Apply"" button to search with ""_exact"" for a column syntax the URL prefix is removed from the url. ![image](https://user-images.githubusercontent.com/6613091/153293758-0b757d55-5757-4987-992e-9426e69a7956.png) And the result is: ![image](https://user-images.githubusercontent.com/6613091/153294672-87be7809-bb7b-455d-bf1a-41e90bbfa4ae.png) If I add the marked row to url_builder.py it seams to work: ![image](https://user-images.githubusercontent.com/6613091/153295231-bdd52e37-efcf-4b21-9d37-69f182a922f4.png) ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1633/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1148725876,I_kwDOBm6k_c5EeCp0,1640,"Support static assets where file length may change, e.g. logs",57859326,broccolihighkicks,open,0,,,,,2,2022-02-24T00:34:42Z,2022-03-05T01:19:25Z,,NONE,,"This is a bit of an oxymoron. I am serving a log.txt file for a background process using the Datasette --static CLI. This is useful as I can observe a background process from the web UI to see any errors that occur (instead of spelunking the logs via docker exec/ssh etc). I get this error, which I think is because Datasette assumes that the size of the content does not change (but appending new log lines means the content length changes). ```python Traceback (most recent call last): File ""/usr/local/lib/python3.9/site-packages/datasette/app.py"", line 1181, in route_path response = await view(request, send) File ""/usr/local/lib/python3.9/site-packages/datasette/utils/asgi.py"", line 305, in inner_static await asgi_send_file(send, full_path, chunk_size=chunk_size) File ""/usr/local/lib/python3.9/site-packages/datasette/utils/asgi.py"", line 280, in asgi_send_file await send( File ""/usr/local/lib/python3.9/site-packages/asgi_csrf.py"", line 104, in wrapped_send await send(event) File ""/usr/local/lib/python3.9/site-packages/uvicorn/protocols/http/h11_impl.py"", line 460, in send output = self.conn.send(event) File ""/usr/local/lib/python3.9/site-packages/h11/_connection.py"", line 468, in send data_list = self.send_with_data_passthrough(event) File ""/usr/local/lib/python3.9/site-packages/h11/_connection.py"", line 501, in send_with_data_passthrough writer(event, data_list.append) File ""/usr/local/lib/python3.9/site-packages/h11/_writers.py"", line 58, in __call__ self.send_data(event.data, write) File ""/usr/local/lib/python3.9/site-packages/h11/_writers.py"", line 78, in send_data raise LocalProtocolError(""Too much data for declared Content-Length"") h11._util.LocalProtocolError: Too much data for declared Content-Length ERROR: Exception in ASGI application Traceback (most recent call last): File ""/usr/local/lib/python3.9/site-packages/datasette/app.py"", line 1181, in route_path response = await view(request, send) File ""/usr/local/lib/python3.9/site-packages/datasette/utils/asgi.py"", line 305, in inner_static await asgi_send_file(send, full_path, chunk_size=chunk_size) File ""/usr/local/lib/python3.9/site-packages/datasette/utils/asgi.py"", line 280, in asgi_send_file await send( File ""/usr/local/lib/python3.9/site-packages/asgi_csrf.py"", line 104, in wrapped_send await send(event) File ""/usr/local/lib/python3.9/site-packages/uvicorn/protocols/http/h11_impl.py"", line 460, in send output = self.conn.send(event) File ""/usr/local/lib/python3.9/site-packages/h11/_connection.py"", line 468, in send data_list = self.send_with_data_passthrough(event) File ""/usr/local/lib/python3.9/site-packages/h11/_connection.py"", line 501, in send_with_data_passthrough writer(event, data_list.append) File ""/usr/local/lib/python3.9/site-packages/h11/_writers.py"", line 58, in __call__ self.send_data(event.data, write) File ""/usr/local/lib/python3.9/site-packages/h11/_writers.py"", line 78, in send_data raise LocalProtocolError(""Too much data for declared Content-Length"") h11._util.LocalProtocolError: Too much data for declared Content-Length ``` Thanks, I am finding Datasette very useful.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1640/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1154399841,I_kwDOBm6k_c5Ezr5h,1645,"Sensible `cache-control` headers for static assets, including those served by plugins",697092,curiousleo,open,0,,,3268330,Datasette 1.0,4,2022-02-28T18:12:03Z,2022-03-08T02:59:29Z,,NONE,,"## What I'm seeing With `default_cache_ttl = 86400`, I see the following: A table view returns `Cache-control: max-age=86400`: ![Screenshot_20220228_190000](https://user-images.githubusercontent.com/697092/156034352-4d64683e-39c8-49af-81df-0217a5957bbd.png) A static asset returns no `Cache-control` header: ![Screenshot_20220228_185933](https://user-images.githubusercontent.com/697092/156034363-d0b03cc2-5889-4ed2-b601-8c1846b8469a.png) ## What I expected to see I expected the static asset to return a `Cache-control` header indicating that this response can be cached. ## Why this matters I'm productionising a Datasette deployment right now and was looking into putting it behind a Varnish instance. I was surprised to see requests for static assets being served from Datasette rather than Varnish, this is what led me to look more closely at the response headers. While Datasette serves those static assets pretty quickly, I don't see why Datasette should serve them. By their nature, static assets like images and JS files are very cacheable, so it should be easy to serve them from a cache like Varnish. (Note that Varnish can easily be configured to override this header, enabling caching for static assets. But it would be better if this override was not necessary.) ## Discussion It seems clear to me that serving static assets without a `Cache-control` header is not ideal. I see two options here: A. Static assets use the same logic as table / SQL views to set the `Cache-control` header based on `default_cache_ttl`. B. An additional setting for static assets is introduced (`default_static_cache_ttl`, say).",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1645/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1174655187,I_kwDOBm6k_c5GA9DT,1671,Filters fail to work correctly against calculated numeric columns returned by SQL views because type affinity rules do not apply,9308268,rayvoelker,open,0,,,,,8,2022-03-20T19:17:24Z,2022-03-22T17:43:12Z,,NONE,,"I found a strange behavior, and I'm not sure if it's related to views and boolean values perhaps, or if there's something else weird going on here, but I'll provide an example that may help show what I'm seeing happen. ```bash #!/bin/bash echo ""\""id\"",\""expiration_date\"" 0,2018-01-04 1,2019-01-05 2,2020-01-06 3,2021-01-07 4,2022-01-08 5,2023-01-09 6,2024-01-10 7,2025-01-11 8,2026-01-12 9,2027-01-13 "" > test.csv csvs-to-sqlite test.csv test.db sqlite-utils create-view --replace test.db test_view ""select id, expiration_date, case when julianday('NOW') >= julianday(expiration_date) then 1 else 0 end as has_expired FROM test"" ``` ```bash datasette test.db ``` ![image](https://user-images.githubusercontent.com/9308268/159178745-9c6152f7-eac6-4bf9-bef5-a2d63d3ee13f.png) ![image](https://user-images.githubusercontent.com/9308268/159178824-c8952137-270c-42a4-ad1c-f6ad2c51e499.png) ![image](https://user-images.githubusercontent.com/9308268/159178877-23e00b36-443a-43ef-83e5-e0bdddd3fdcd.png) ![image](https://user-images.githubusercontent.com/9308268/159178918-65922cc7-2514-4735-a72d-4904b99976d4.png) Thanks again and let me know if you want me to provide anything else!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1671/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1181037277,I_kwDOBm6k_c5GZTLd,1686,heroku bails if app name specifed in datasette publish is the same as existing app,2115933,tlongers,open,0,,,,,0,2022-03-25T17:10:34Z,2022-03-25T17:10:34Z,,NONE,,"Seem that `heroku` does not accept an app overwrite triggered by specifying the app name using `datasette publish`, as below: ``` datasette publish heroku some.db --name ""jazzy-name"" ``` The resulting error has the below traceback: ``` Creating jazzy-name... ! ▸ Name jazzy-name is already taken Traceback (most recent call last): File ""/opt/homebrew/bin/datasette"", line 33, in sys.exit(load_entry_point('datasette==0.60.1', 'console_scripts', 'datasette')()) File ""/opt/homebrew/Cellar/datasette/0.60.1/libexec/lib/python3.10/site-packages/click/core.py"", line 1128, in __call__ return self.main(*args, **kwargs) File ""/opt/homebrew/Cellar/datasette/0.60.1/libexec/lib/python3.10/site-packages/click/core.py"", line 1053, in main rv = self.invoke(ctx) File ""/opt/homebrew/Cellar/datasette/0.60.1/libexec/lib/python3.10/site-packages/click/core.py"", line 1659, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/opt/homebrew/Cellar/datasette/0.60.1/libexec/lib/python3.10/site-packages/click/core.py"", line 1659, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/opt/homebrew/Cellar/datasette/0.60.1/libexec/lib/python3.10/site-packages/click/core.py"", line 1395, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/opt/homebrew/Cellar/datasette/0.60.1/libexec/lib/python3.10/site-packages/click/core.py"", line 754, in invoke return __callback(*args, **kwargs) File ""/opt/homebrew/Cellar/datasette/0.60.1/libexec/lib/python3.10/site-packages/datasette/publish/heroku.py"", line 127, in heroku create_output = check_output(cmd).decode(""utf8"") File ""/opt/homebrew/Cellar/python@3.10/3.10.2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/subprocess.py"", line 420, in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, File ""/opt/homebrew/Cellar/python@3.10/3.10.2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/subprocess.py"", line 524, in run raise CalledProcessError(retcode, process.args, subprocess.CalledProcessError: Command '['heroku', 'apps:create', 'jazzy-name', '--json']' returned non-zero exit status 1. ``` It's a solid failsafe, but does `datasette publish` have a way to force an overwrite?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1686/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1205867842,I_kwDODtX3eM5H4BVC,4,Retrieve the top-level story for a comment,1755789,telotortium,open,0,,,,,0,2022-04-15T20:25:39Z,2022-04-15T20:25:39Z,,NONE,,"I think that each comment inserted into the database should include a column `onstory` that contains the ID of the story on which the comment was made. This is exactly equivalent to the link after ""on:"" at the top of an HN comment page ([example](https://news.ycombinator.com/item?id=18358028)). We could do this either by directly retrieving the HTML page and using Beautiful Soup to find that link, or alternatively recurse up the tree in the Firebase API using the `parent` field (probably using `functools.lru_cache` in case a person has commented a bunch of times on the same story).",248903544,hacker-news-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/hacker-news-to-sqlite/issues/4/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1211283427,I_kwDODFdgUs5IMrfj,72,feature: display progress bar when downloading multi-page responses,9020979,hydrosquall,open,0,,,,,1,2022-04-21T16:37:12Z,2022-04-21T17:29:31Z,,NONE,,"## Motivation For a long running command (longer than 1 minute) for a big table (like pull requests or commits), it can be tricky to know if the script is still running, or if a rate limit/error was encountered We know how many pages there are, so it may be possible to indicate how many remain. https://github.com/dogsheep/github-to-sqlite/blob/a6e237f75a4b86963d91dcb5c9582e3a1b3349d6/github_to_sqlite/utils.py#L367 ## Resources - Using the existing Click API: - https://click.palletsprojects.com/en/5.x/utils/#showing-progress-bars - Loading spinner: https://github.com/pavdmyt/yaspin - Progress bar: https://github.com/tqdm/tqdm",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/72/reactions"", ""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1221849746,I_kwDOBm6k_c5I0_KS,1732,Custom page variables aren't decoded,52649,tannewt,open,0,,,,,2,2022-04-30T14:55:46Z,2022-05-03T01:50:45Z,,NONE,,"I have a page `templates/filer/{filer_id}.html`. It uses `filer_id` in a `sql()` call to fetch data. With 0.61.1 this no longer works because the spaces in IDs isn't preserved. Instead, the escaped version is passed into the template and the id isn't present in my db. Datasette should unescape the url component before passing them into the template.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1732/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1224112817,I_kwDOCGYnMM5I9nqx,430,Document how to use `PRAGMA temp_store` to avoid errors when running VACUUM against huge databases,9308268,rayvoelker,open,0,,,,,2,2022-05-03T13:33:58Z,2022-06-14T23:26:37Z,,NONE,,"I'm trying to figure out a way to get the `table.extract()` method to complete successfully -- I'm not sure if maybe the cause (and a possible solution) of this on Ubuntu Server 22.04 is to adjust some of the PRAGMA values within SQLite itself ... on another Linux system (PopOS), using this method on this same database appears to work just fine. Here's the bit that's causing the error, and the resulting error output: ```python # combine these columns into 1 table ""bib_properties"" : # best_title # bib_level_code # mat_type # material_code # best_author db[""circ_trans""].extract( [""best_title"", ""bib_level_code"", ""mat_type"", ""material_code"", ""best_author""], table=""bib_properties"", fk_column=""bib_properties_id"" ) db[""circ_trans""].extract( [""call_number""], table=""call_number"", fk_column=""call_number_id"", rename={""call_number"": ""value""} ) ``` ```python --------------------------------------------------------------------------- OperationalError Traceback (most recent call last) Input In [17], in () 1 # combine these columns into 1 table ""bib_properties"" : 2 # best_title 3 # bib_level_code 4 # mat_type 5 # material_code 6 # best_author ----> 7 db[""circ_trans""].extract( 8 [""best_title"", ""bib_level_code"", ""mat_type"", ""material_code"", ""best_author""], 9 table=""bib_properties"", 10 fk_column=""bib_properties_id"" 11 ) 13 db[""circ_trans""].extract( 14 [""call_number""], 15 table=""call_number"", 16 fk_column=""call_number_id"", 17 rename={""call_number"": ""value""} 18 ) File ~/jupyter/venv/lib/python3.10/site-packages/sqlite_utils/db.py:1764, in Table.extract(self, columns, table, fk_column, rename) 1761 column_order.append(c.name) 1763 # Drop the unnecessary columns and rename lookup column -> 1764 self.transform( 1765 drop=set(columns), 1766 rename={magic_lookup_column: fk_column}, 1767 column_order=column_order, 1768 ) 1770 # And add the foreign key constraint 1771 self.add_foreign_key(fk_column, table, ""id"") File ~/jupyter/venv/lib/python3.10/site-packages/sqlite_utils/db.py:1526, in Table.transform(self, types, rename, drop, pk, not_null, defaults, drop_foreign_keys, column_order) 1524 with self.db.conn: 1525 for sql in sqls: -> 1526 self.db.execute(sql) 1527 # Run the foreign_key_check before we commit 1528 if pragma_foreign_keys_was_on: File ~/jupyter/venv/lib/python3.10/site-packages/sqlite_utils/db.py:465, in Database.execute(self, sql, parameters) 463 return self.conn.execute(sql, parameters) 464 else: --> 465 return self.conn.execute(sql) OperationalError: database or disk is full ``` This database is about 17G in total size, so I'm assuming the error is coming from the vacuum ... where i'm assuming it's maybe trying to do the temp storage in a location that doesn't have sufficient room. The disk space is more than ample on the host in question (1.8T is free in the directory where the sqlite db resides) The `/tmp` directory however is limited on a smaller disk associated with the OS I'm trying to think if there's a way to set the `PRAGMA temp_store` or maybe if it's `temp_store_directory` that I'm after ... to use the same local directory of where the file is located (maybe this is a property of the version of sqlite on the system?) ```python # SET the temp file store to be a file ... print(db.execute('PRAGMA temp_store').fetchall()) print(db.execute('PRAGMA temp_store=FILE').fetchall()) print(db.execute('PRAGMA temp_store').fetchall()) # the users home directory ... print(db.execute(""PRAGMA temp_store_directory='/home/plchuser/'"").fetchall()) print(db.execute(""PRAGMA sqlite3_temp_directory='/home/plchuser/'"").fetchall()) print(db.execute(""PRAGMA temp_store_directory"").fetchall()) print(db.execute(""PRAGMA sqlite3_temp_directory"").fetchall()) ``` ```text [(1,)] [] [(1,)] [] [] [('/home/plchuser/',)] [] ``` Here's the docs on the Temporary File Storage Locations https://www.sqlite.org/tempfiles.html",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/430/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1227571375,I_kwDOCGYnMM5JK0Cv,431,Allow making m2m relation of a table to itself,738408,rafguns,open,0,,,,,3,2022-05-06T08:30:43Z,2022-06-23T14:12:51Z,,NONE,,"I am building a database, in which one of the tables has a many-to-many relationship to itself. As far as I can see, this is not (yet) possible using `.m2m()` in sqlite-utils. This may be a bit of a niche use case, so feel free to close this issue if you feel it would introduce too much complexity compared to the benefits. Example: suppose I have a table of people, and I want to store the information that John and Mary have two children, Michael and Suzy. It would be neat if I could do something like this: ```python from sqlite_utils import Database db = Database(memory=True) db[""people""].insert({""name"": ""John""}, pk=""name"").m2m( ""people"", [{""name"": ""Michael""}, {""name"": ""Suzy""}], m2m_table=""parent_child"", pk=""name"" ) db[""people""].insert({""name"": ""Mary""}, pk=""name"").m2m( ""people"", [{""name"": ""Michael""}, {""name"": ""Suzy""}], m2m_table=""parent_child"", pk=""name"" ) ``` But if I do that, the many-to-many table `parent_child` has only one column: ``` CREATE TABLE [parent_child] ( [people_id] TEXT REFERENCES [people]([name]), PRIMARY KEY ([people_id], [people_id]) ) ``` This could be solved by adding one or two keyword_arguments to `.m2m()`, e.g. `.m2m(..., left_name=None, right_name=None)` or `.m2m(..., names=(None, None))`.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/431/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1236693079,I_kwDOCGYnMM5JtnBX,432,"Support `rows_where()`, `delete_where()` etc for attached alias databases",11597658,luxint,open,0,,,,,5,2022-05-16T06:38:58Z,2022-06-14T22:16:48Z,,NONE,,"Hi, I noticed `rows_where()` doesn't return any rows from tables which are from attached databases. The `exists()` function returns false. As far as I can see this is because the `table_names()` function only looks for table names in the current database and not in attached (or temp) databases. Besides, `rows_where()`, also `insert_all()` and `delete_where()` didn't do what I was expecting because of this. For the moment I've patched `table_names()` for myself, see below but I'm not sure what the total impact is on the other functions like lookup truncate etc which all use `exists()`. Also `view_names()` doesn't look for views in attached or temp databases. ```python def table_names(self, fts4: bool = False, fts5: bool = False) -> List[str]: ""A list of string table names in this database."" where = [""type = 'table'""] if fts4: where.append(""sql like '%USING FTS4%'"") if fts5: where.append(""sql like '%USING FTS5%'"") dbs = [x[1] for x in self.execute('pragma database_list').fetchall()] lst=[] for db in dbs: sql = ""select name from {} where {}"".format(db+"".sqlite_master"","" AND "".join(where)) lst.extend(r[0] for r in self.execute(sql).fetchall()) return lst ```",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/432/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1247315144,I_kwDOBm6k_c5KWITI,1749,LDAP auth plugin,380241,benswift,open,0,,,,,0,2022-05-25T01:35:12Z,2022-05-25T01:35:12Z,,NONE,,"A [search of the plugins directory](https://datasette.io/plugins?q=ldap) doesn't turn up anything, but is is possible to set up a Datasette app which uses my organisation's LDAP for auth? If not, how much work would it be to write one (I _may_ have some spare cycles on my team to do this, but we haven't written a datasette plugin before).",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1749/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1250495688,I_kwDOCGYnMM5KiQzI,439,Misleading progress bar against utf-16-le CSV input,4068,frafra,open,0,,,,,12,2022-05-27T08:34:49Z,2022-06-15T03:53:43Z,,NONE,,"The program crashes without any error. ``` wget ""https://artsdatabanken.no/Fab2018/api/export/csv"" sqlite-utils create-database test.db sqlite-utils insert --csv --delimiter "";"" --encoding ""utf-16-le"" test test.db csv [------------------------------------] 0% [#################-------------------] 49% 00:00:01 ``` I would like to highlight various issues: 1. sqlite-utils catches exceptions without printing the stacktrace and/or reraising the exception, so there is no easy way to use `pdb` or similar to debug the program, solution: add a debug option 2. Silent crash: this is related to (1.), and it happens when there is a catch-all mechanism; solution: let the program fail.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/439/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1251700382,I_kwDOBm6k_c5Km26e,1750,Allow `label_column` to specify array of columns,408765,knutwannheden,open,0,,,,,0,2022-05-28T18:45:48Z,2022-05-28T18:45:48Z,,NONE,,"I think it would be great if the Datasette metadata would allow the `label_column` table key to list multiple columns. Something like: ```json ""tables"": { ""person"": { ""label_column"": [""first_name"", ""last_name""] }, ``` It would even be interesting with a ""label expression"" similar to a Python f-string. E.g. `{row.last_name}, {row.first_name}`.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1750/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1266207143,I_kwDOBm6k_c5LeMmn,1755,Gunicorn,1176293,ar-jan,open,0,,,,,0,2022-06-09T14:18:46Z,2022-06-09T14:18:46Z,,NONE,,"I've read issue #514 which resulted in running Datasette via systemd as recommended approach. We've also adopted this (for now), but I notice that Uvicorn [says the following](https://www.uvicorn.org/#running-with-gunicorn): > Uvicorn includes a Gunicorn worker class allowing you to run ASGI applications, with all of Uvicorn's performance benefits, while also giving you Gunicorn's fully-featured process management. > > This allows you to increase or decrease the number of worker processes on the fly, restart worker processes gracefully, or perform server upgrades without downtime. > > For production deployments we recommend using gunicorn with the uvicorn worker class. We usually deploy Python applications via Gunicorn for these process management features (e.g. `--daemon` and `--pid`). Is this something that would/could work with Datasette as well?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1755/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1280799259,I_kwDOBm6k_c5MV3Ib,1761,ensure_ascii=False,1473102,mustafa0x,open,0,,,,,0,2022-06-22T19:58:13Z,2022-06-22T19:58:30Z,,NONE,,"Hi, thanks for the project! For the JSON output, I would consider defaulting to `ensure_ascii=False` (UTF-8 seems pretty universal) or making it an option. When dealing with non-Latin text, `ensure_ascii=True` (the default) can triple the size of the output.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1761/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1323332006,I_kwDOBm6k_c5O4HGm,1774,Request of feature for mongo,428820,johnfelipe,open,0,,,,,0,2022-07-31T01:00:05Z,2022-07-31T01:00:05Z,,NONE,,Will love if can we use datasette for mongo and all pipelines and workflows,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1774/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1323346408,I_kwDOBm6k_c5O4Kno,1775,i18n support,428820,johnfelipe,open,0,,,,,9,2022-07-31T02:51:04Z,2023-02-10T18:04:40Z,,NONE,,"I want contribute for translate UI to es, de, de and it if you share strings",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1775/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1337541526,I_kwDOBm6k_c5PuUOW,1780,`facet_time_limit_ms` and `sql_time_limit_ms` overlap?,53165,davepeck,open,0,,,,,1,2022-08-12T17:55:37Z,2022-08-15T23:50:08Z,,NONE,,"I needed more than the default 200ms to facet a specific column in a database I was working with, so I ran `datasette` with `--setting facet_time_limit_ms 30000` — definitely overkill! But it still didn't work; it took a moment to realize I also needed to up my `sql_time_limit_ms` to something larger too. I'm happy to submit a PR that documents this behavior if it's helpful. Or, if there's a code change we'd like to make (like making sure `sql_time_limit_ms` is always set to the larger of itself and `facet_time_limit_ms`), happy to do that too. Apologies if I missed this somewhere in the docs. And: thanks. I'm really enjoying the simple, effective tooling datasette gives me out of the box for exploring my databases!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1780/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1347717749,I_kwDOBm6k_c5QVIp1,1791,Updating metadata.json on Datasette for MacOS,1780782,ment4list,open,0,,,,,1,2022-08-23T10:41:16Z,2022-08-23T13:29:51Z,,NONE,,"I've installed Datasette for Mac as per [the documentation](https://docs.datasette.io/en/stable/installation.html#datasette-desktop-for-mac) and it's working great! However, I'm not sure how to go about adding something like ""[Canned Queries](https://docs.datasette.io/en/stable/sql_queries.html#canned-queries)"" or utilising other advanced features or settings by manipulating the `metadata.json` or `settings.json` files. I can view these files from the Datasette App from the top right ""burger"" menu but it only shows the contents of the file with no way to edit or change it. Am I missing something? Where can I update the `metadata.json` file using the MacOS App? PS: This is a fantastic tool! Thanks so much for all the effort and especially adding a bunch of different ways to get started quickly!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1791/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1353074021,I_kwDOCGYnMM5QpkVl,474,Add an option for specifying column names when inserting CSV data,14294,hubgit,open,0,,,,,3,2022-08-27T15:29:59Z,2022-08-31T03:42:36Z,,NONE,,"https://sqlite-utils.datasette.io/en/stable/cli.html#csv-files-without-a-header-row > The first row of any CSV or TSV file is expected to contain the names of the columns in that file. > If your file does not include this row, you can use the `--no-headers` option to specify that the tool should not use that fist row as headers. > If you do this, the table will be created with column names called `untitled_1` and `untitled_2` and so on. You can then rename them using the `sqlite-utils transform ... --rename` command. It would be nice to be able to specify the column names when importing CSV/TSV without a header row, via an extra command line option. (renaming a column of a large table can take a long time, which makes it an inconvenient workaround)",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/474/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1353411865,I_kwDODEpn8M5Qq20Z,1,Problem with my user,2467,fernand0,open,0,,,,,0,2022-08-28T16:59:37Z,2022-08-28T16:59:37Z,,NONE,,"If I call the program with: inaturalist-to-sqlite inaturalist.db ftricas the program exits with an error: `Importing 36 observations Traceback (most recent call last): File ""/home/ftricas/.pyenv/versions/3.10.6/bin/inaturalist-to-sqlite"", line 8, in sys.exit(cli()) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/click/core.py"", line 1130, in __call__ return self.main(*args, **kwargs) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/click/core.py"", line 1055, in main rv = self.invoke(ctx) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/click/core.py"", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/click/core.py"", line 760, in invoke return __callback(*args, **kwargs) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/inaturalist_to_sqlite/cli.py"", line 51, in cli save_observation(observation, db) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/inaturalist_to_sqlite/utils.py"", line 34, in save_observation db[""observations""] File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/sqlite_utils/db.py"", line 2965, in insert return self.insert_all( File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/sqlite_utils/db.py"", line 3068, in insert_all self.create( File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/sqlite_utils/db.py"", line 1564, in create self.db.create_table( File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/sqlite_utils/db.py"", line 951, in create_table sql = self.create_table_sql( File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/sqlite_utils/db.py"", line 765, in create_table_sql foreign_keys = self.resolve_foreign_keys(name, foreign_keys or []) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/sqlite_utils/db.py"", line 702, in resolve_foreign_keys other_table = table.guess_foreign_table(column) File ""/home/ftricas/.pyenv/versions/3.10.6/lib/python3.10/site-packages/sqlite_utils/db.py"", line 2061, in guess_foreign_table raise NoObviousTable( sqlite_utils.db.NoObviousTable: No obvious foreign key table for column 'taxon' - tried ['taxon', 'taxons'] ` If I call the program with your user everything seems to go well and then, I can call the program with my own user without problems. Moreover, I can call the program again with my own user and everything goes well now. Additional info, the command: sqlite-utils tables inaturalist.db shows that the correct name can be 'taxons'. There is another small problem with a warning: warnings.warn(""urllib3 ({}) or chardet ({})/charset_normalizer ({}) doesn't match a supported "" ",206202864,inaturalist-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/inaturalist-to-sqlite/issues/1/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1363244199,I_kwDODFdgUs5RQXSn,75,Fetch repos doesn't support organisations,2757699,OverkillGuy,open,0,,,,,0,2022-09-06T12:55:06Z,2022-09-06T12:55:06Z,,NONE,,"Say I want to get all my Github Org's repos info, for data analysis. Not just the public repos, but also the private/internal repos. The endpoints are different for organisation, and this tool doesn't take it into account: https://github.com/dogsheep/github-to-sqlite/blob/ace13ec3d98090d99bd71871c286a4a612c96a50/github_to_sqlite/utils.py#L453 https://github.com/dogsheep/github-to-sqlite/blob/ace13ec3d98090d99bd71871c286a4a612c96a50/github_to_sqlite/utils.py#L455 The endpoints for organisation repos is instead ([source](https://docs.github.com/en/rest/repos/repos#list-organization-repositories)): `url = ""https://api.github.com/orgs/{}/repos"".format(username)` Let's add support for organisations repo scraping.",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/75/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1363552780,I_kwDOBm6k_c5RRioM,1805,truncate_cells_html does not work for links?,562352,CharlesNepote,open,0,,,,,7,2022-09-06T16:41:29Z,2022-10-03T09:18:06Z,,NONE,,"We have many links inside our dataset (please don't blame us ;-). When I use `--settings truncate_cells_html 60` it is not working for the links. Eg. https://images.openfoodfacts.org/images/products/000/000/000/088/nutrition_fr.5.200.jpg (87 chars) is not truncated: ![image](https://user-images.githubusercontent.com/562352/188689045-1946d776-2305-47cf-bfc5-b5685b9206b7.png) IMHO It would make sense that links should be treated as HTML. The link should work of course, but Datasette could truncate it: [https://images.openfoodfacts.org/images/products/00[...].jpg](https://images.openfoodfacts.org/images/products/000/000/000/088/nutrition_fr.5.200.jpg) ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1805/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,reopened 1365741480,I_kwDOBm6k_c5RZ4-o,1806,"UX to recover from Error 500: ""You can only execute one statement at a time.""",1470389,jieter,open,0,,,,,0,2022-09-08T08:01:27Z,2022-09-08T08:01:37Z,,NONE,,"When using the Custom SQL query view, when accidentally adding a semicolon in the middle of my query, datasette errors with: > # Error 500 > You can only execute one statement at a time. The error view doesn't contain the query textarea anymore, so it provides no easy way recover from the error. It would be nice if I could change and submit it again. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1806/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1373210675,I_kwDODD6af85R2Ygz,13,fails before generating views. ERR: table sqlite_master may not be modified,116795,pax,open,0,,,,,4,2022-09-14T15:41:50Z,2023-04-11T03:46:17Z,,NONE,,"generates checkins.db but seems to fail before generating views note: it worked on an Ubuntu WSL but fails on macOS 12.5.1 later edit: I suspect this is a problem with my local set-up, `dogsheep-beta index` also throws the same error full error: Importing 2591 checkins [###################################-] 98% 00:00:00 Traceback (most recent call last): File ""/Users/pax/devbox/envAll/bin/swarm-to-sqlite"", line 8, in sys.exit(cli()) File ""/Users/pax/devbox/envAll/lib/python3.8/site-packages/click/core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""/Users/pax/devbox/envAll/lib/python3.8/site-packages/click/core.py"", line 782, in main rv = self.invoke(ctx) File ""/Users/pax/devbox/envAll/lib/python3.8/site-packages/click/core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/Users/pax/devbox/envAll/lib/python3.8/site-packages/click/core.py"", line 610, in invoke return callback(*args, **kwargs) File ""/Users/pax/devbox/envAll/lib/python3.8/site-packages/swarm_to_sqlite/cli.py"", line 77, in cli ensure_foreign_keys(db) File ""/Users/pax/devbox/envAll/lib/python3.8/site-packages/swarm_to_sqlite/utils.py"", line 145, in ensure_foreign_keys db[fk.table].add_foreign_key(fk.column, fk.other_table, fk.other_column) File ""/Users/pax/devbox/envAll/lib/python3.8/site-packages/sqlite_utils/db.py"", line 2123, in add_foreign_key self.db.add_foreign_keys([(self.name, column, other_table, other_column)]) File ""/Users/pax/devbox/envAll/lib/python3.8/site-packages/sqlite_utils/db.py"", line 1086, in add_foreign_keys cursor.execute( sqlite3.OperationalError: table sqlite_master may not be modified",205429375,swarm-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/swarm-to-sqlite/issues/13/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1375792876,I_kwDOBm6k_c5SAO7s,1811,"Drop-down menu with ""REGEXP"" choice",562352,CharlesNepote,open,0,,,,,0,2022-09-16T11:06:18Z,2022-09-16T15:30:31Z,,NONE,,"Drop-down menu below could add ""REGEXP"" choice when REGEXP sqlite extension is installed and used ![image](https://user-images.githubusercontent.com/562352/190675352-810fbdca-0827-4034-8b9f-fd67d5c35afb.png) Not sure. Close the issue if you don't find it relevant.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1811/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1383646615,I_kwDOCGYnMM5SeMWX,491,Ability to merge databases and tables,8904453,sgraaf,open,0,,,,,7,2022-09-23T11:10:55Z,2023-06-14T22:14:24Z,,NONE,,"Hi! Let me firstly say that I am a big fan of your work -- I follow your tweets and blog posts with great interest 😄. Now onto the matter at hand: I think it would be great if `sqlite-utils` included a `merge` or `combine` command, with the purpose of combining different SQLite databases into a single SQLite database. This way, the newly ""merged"" database would contain all differently named tables contained in the databases to be merged as-is, as well a concatenation of all tables of the same name. This could look something like this: ```bash sqlite-utils merge cats.db dogs.db > animals.db ``` I imagine this is rather straightforward if all databases involved in the merge contain differently named tables (i.e. no chance of conflicts), but things get slightly more complicated if two or more of the databases to be merged contain tables with the same name. Not only do you have to ""do something"" with the primary key(s), but these tables could also simply have different schemas (and therefore be incompatible for concatenation to begin with). Anyhow, I would love your thoughts on this, and, if you are open to it, work together on the design and implementation!",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/491/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1387712501,I_kwDOBm6k_c5Sts_1,1824,Convert &_hide_sql=1 to #_hide_sql,562352,CharlesNepote,open,0,,,,,1,2022-09-27T12:53:31Z,2022-10-05T12:56:27Z,,NONE,,"Hiding the SQL textarea with `&_hide_sql=1` enforces a page reload, which can take several seconds and use server resource (which is annoying for big database or complex queries). It could probably be done with a few lines of Javascript (I'm going to see if I can do that).",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1824/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1433576351,I_kwDOBm6k_c5VcqOf,1880,Datasette with many and large databases > Memory use,525934,amitkoth,open,0,,,,,4,2022-11-02T18:10:27Z,2022-11-16T17:50:29Z,,NONE,,"> Datasette maintains an in-memory SQLite database with details of the the databases, tables and columns for all of the attached databases. The above is from the docs ^. There's two problems here - the number of datasette ""instances"" in a single server/VM and the size of the database itself. We want the **opposite** of in-memory, including what happens on SQLlite - documented in https://www.sqlite.org/inmemorydb.html From the context in https://github.com/simonw/datasette/issues/1150 - does it mean datasette is memory-bound to the size of the dataset - which might be a deal-breaker for many large-scale use cases? In an extreme case - let's say a single server had 100 SQLlite databases, which would enable 100 ""instances"" of datasette to run, one per client (e.g. in a SaaS multi-tenant environment). How could we achieve all these goals: 1. Allow any _one_ of these 100 databases to grow to say 2Tb in size 2. Have one datasette instance, which connects to 1 of the 100 instances, based on incoming credentials/tenant ID 3. Minimize memory use entirely - both by datasette and SQLlite, such that almost all operations are executed in real-time on-disk with little to no memory consumption per-tenant, or per-database. Any ideas appreciated - we're looking to use this in a SaaS type of setting - many instances, single server. @simonw great work on datasette, in general! Possibly related to https://github.com/simonw/datasette/issues/1480 but we don't want use any kind of serverless infra - this is a long-running VM/server.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1880/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1446657889,I_kwDOBm6k_c5WOj9h,1885,Integrate inside GUI app (tkinter),5115787,dmalves,open,0,,,,,0,2022-11-13T00:10:43Z,2022-11-13T00:11:09Z,,NONE,,"Hi, I'd like to integrate datasette inside a tkinter app. The app should be able to start/stop datasette server. How could I integrate datasette inside my app, so it can start and stop datasette server?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1885/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1452360613,I_kwDOBm6k_c5WkUOl,1895,Avoid using host name when building absolute URLs?,14294,hubgit,open,0,,,,,0,2022-11-16T22:21:27Z,2022-11-16T22:21:27Z,,NONE,,"When deploying Datasette to Cloud Run and rewriting certain routes from a Firebase app to the Cloud Run service, some of the URLs in the page start with `https://[service].run.app` rather than the (custom) domain of the Firebase app. I guess this is because a) the custom domain of the Firebase app isn't being passed through in the `host` header of the request to the Cloud Run instance and b) the `absolute_url` function in Datasette is using information from the request to build the URL. Would it be possible to not use the host name when building the absolute URLs, i.e. only include the path in the URL?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1895/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1452572348,I_kwDOBm6k_c5WlH68,1900,datasette package --spatialite throws error during build,419145,rdmurphy,open,0,,,,,11,2022-11-17T02:03:28Z,2022-11-18T08:00:38Z,,NONE,,"Hello! Attempting to use `datasette package` to bundle up a SpatiaLite DB and I'm getting this error during the `docker build`: ``` sqlite3.OperationalError: /usr/lib/x86_64-linux-gnu/mod_spatialite.so.so: cannot open shared object file: No such file or directory ``` Seems to be throwing when this step is ran: ``` ERROR [6/6] RUN datasette inspect results.db --inspect-file inspect-data.json ``` This is with `v0.63.1`.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1900/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1453134846,I_kwDOCGYnMM5WnRP-,513,Add or document streamlined workflow for importing Datasette csv / json exports,19328961,henry501,open,0,,,,,0,2022-11-17T10:54:47Z,2022-11-17T10:54:47Z,,NONE,,"I'm working on some small front-end enhancements to the laion-aesthetic-datasette project, and I wanted to partially populate a database directly using exports from the existing Datasette instance instead of downloading the parquet files and creating my own multi-GB database. There have been a number of small issues that are certainly related to my relative lack of familiarity with the toolkit, but that are still surprising. For example: a CSV export of the images table (http://laion-aesthetic.datasette.io/laion-aesthetic-6pls.csv?sql=select+rowid%2C+url%2C+text%2C+domain_id%2C+width%2C+height%2C+similarity%2C+punsafe%2C+pwatermark%2C+aesthetic%2C+hash%2C+__index_level_0__+from+images+order+by+random%28%29+limit+100) has nested single quotes, double quotes, and commas that aren't handled by rows_from_file. Similarly, the json output has to be manually transformed to add the column names and remove extraneous information before sqlite_utils can import it. I was able to work through these issues, but as an enhancement it would be really helpful to create or document a clear workflow that avoids the friction of this data transformation.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/513/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1485017981,I_kwDODEpn8M5Yg5N9,2,table identifications has no column named previous_observation_taxon,520541,heaversm,open,0,,,,,0,2022-12-08T16:47:17Z,2022-12-08T16:47:17Z,,NONE,,"Installed successfully with pip and ran `inaturalist-to-sqlite inaturalist.db simonw` and got the error: ``` sqlite3.OperationalError: table identifications has no column named previous_observation_taxon ```",206202864,inaturalist-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/inaturalist-to-sqlite/issues/2/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1504352503,I_kwDOBm6k_c5Zqpj3,1968,Allow to hide some queries in metadata.yml,562352,CharlesNepote,open,0,,,,,0,2022-12-20T10:45:41Z,2022-12-20T10:45:41Z,,NONE,,"By default all queries are displayed. But there are many cases where it would be interesting to hide the queries by default: * the website is targeting non-tech people * the query is veeeeeery long ([eg.](https://mirabelle.openfoodfacts.org/products/energy_calculator)) * reading the query is not important for the users, they only want to see the result Of course, the user still could have the option to see the query. It could be an option in the metadata file: ```yml databases: awesome_db: tables: products: hide_sql: true queries: great_query: hide_sql: true sql: select * from products where code = :barcode ``` The priority could be: * no option in the metadata and nothing in the URL: query displayed * hide_sql in the metadata and nothing in the URL: query displayed as asked in the metadata * hide_sql in the metadata and &_hide_sql= in the URL: query as asked in the URL See also: #1824 ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1968/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1505411725,I_kwDODFdgUs5ZusKN,78,self-hosted or corp github enterprise,549431,ebdavison,open,0,,,,,0,2022-12-20T22:51:45Z,2022-12-20T22:51:45Z,,NONE,,"We use github enterprise at work and I would like to use this tool to pull info from that site rather than the public github.com instance. Is there an option for this? If not, can one be added for a custom repo URL?",207052882,github-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/github-to-sqlite/issues/78/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1515883470,I_kwDOC8tyDs5aWovO,24,DOC: xml.etree.ElementTree.ParseError due to healthkit version 12 ,6231413,mmngreco,open,0,,,,,2,2023-01-01T23:00:38Z,2023-03-30T10:17:31Z,,NONE,,"Hi @simonw I hope you find this issue ok, the idea is provide some documentation to other users like me about how to solve this problem and save some time. Following the instructions from the `README.md` I've faced this error: ```bash (venv) mgreco@pop-os apple-health master* (23:44|0s) $ healthkit-to-sqlite apple_health_export/export.xml healthkit.db --xml Importing from HealthKit [------------------------------------] 0% Traceback (most recent call last): File ""/home/mgreco/github/mmngreco/apple-health/venv/bin/healthkit-to-sqlite"", line 33, in sys.exit(load_entry_point('healthkit-to-sqlite', 'console_scripts', 'healthkit-to-sqlite')()) File ""/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py"", line 1130, in __call__ return self.main(*args, **kwargs) File ""/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py"", line 1055, in main rv = self.invoke(ctx) File ""/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py"", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/site-packages/click/core.py"", line 760, in invoke return __callback(*args, **kwargs) File ""/home/mgreco/github/mmngreco/apple-health/.deps/healthkit-to-sqlite/healthkit_to_sqlite/cli.py"", line 57, in cli convert_xml_to_sqlite(fp, db, progress_callback=bar.update, zipfile=zf) File ""/home/mgreco/github/mmngreco/apple-health/.deps/healthkit-to-sqlite/healthkit_to_sqlite/utils.py"", line 25, in convert_xml_to_sqlite for tag, el in find_all_tags( File ""/home/mgreco/github/mmngreco/apple-health/.deps/healthkit-to-sqlite/healthkit_to_sqlite/utils.py"", line 12, in find_all_tags for event, el in parser.read_events(): File ""/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/xml/etree/ElementTree.py"", line 1324, in read_events raise event File ""/home/mgreco/github/mmngreco/apple-health/venv/lib/python3.10/xml/etree/ElementTree.py"", line 1296, in feed self._parser.feed(data) xml.etree.ElementTree.ParseError: syntax error: line 156, column 0 ``` So, after debugging and searching on internet I found this useful link: https://discussions.apple.com/thread/254202523 (etresoft, the real hero). Which basically says that the xml given by the health app (healthkit version 12) has some bugs but fortunately, they can be solved with a couple of commads: 1. Uncompress the zip and move the new folder where `export.xml` is. 1. Create a `patch.txt` with the following content ```diff --- export.xml 2022-09-18 15:17:09.000000000 -0400 +++ export-fixed.xml 2022-09-18 16:37:08.000000000 -0400 @@ -15,6 +15,7 @@ HKCharacteristicTypeIdentifierBiologicalSex CDATA #REQUIRED HKCharacteristicTypeIdentifierBloodType CDATA #REQUIRED HKCharacteristicTypeIdentifierFitzpatrickSkinType CDATA #REQUIRED + HKCharacteristicTypeIdentifierCardioFitnessMedicationsUse CDATA #IMPLIED > - + - + - device CDATA #IMPLIED - - -> ]> ``` 1. Apply the path with the command: `patch < patch.txt` 1. Fix endDates with the command `sed 's/startDate/endDate/2' export.xml > export-fixed.xml` 1. Try again `healthkit-to-sqlite export-fixed.xml healthkit.db --xml`",197882382,healthkit-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/24/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1524431805,I_kwDODEm0Qs5a3Pu9,72,"Import thread, including self- and others' replies",601708,mcint,open,0,,,,,0,2023-01-08T09:51:06Z,2023-01-08T09:51:06Z,,NONE,,"statuses-lookup, home-timeline, mentions (only for auth'ed user) don't cover this. `twitter-to-sqlite fetch-thread tw-group1.db 1234123412341234` twitter-to-sqlite focuses on archiving users, but does not easily support archiving conversations or community activity. For reference, this is [implemented in twarc](https://sourcegraph.com/github.com/DocNow/twarc/-/blob/twarc/client.py?L708-766&subtree=true), using a search, optionally recursively. Other research suggests that this formerly, or currently, requires a [search query](https://stackoverflow.com/a/30480103/1020467), use of [undocumented `related_results` api](https://stackoverflow.com/a/9419346/1020467), or with requested inclusion of [newer conversation_id](https://stackoverflow.com/a/68115718/1020467) with subsequent query. ",206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/72/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1531991339,I_kwDOBm6k_c5bUFUr,1989,Suggestion: Hiding columns,116795,pax,open,0,,,,,3,2023-01-13T09:33:32Z,2023-03-31T06:18:05Z,,NONE,,As there's the possibility of [hiding tables](https://docs.datasette.io/en/stable/metadata.html#hiding-tables) - I've run into the **need of hiding specific columns** - data that's either not relevant for public or can't be shown due to privacy reasons. ,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1989/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1532000914,I_kwDOBm6k_c5bUHqS,1990,Suggestion: Highlight error messages ('These facets timed out'),116795,pax,open,0,,,,,0,2023-01-13T09:40:58Z,2023-01-13T09:40:58Z,,NONE,,"I had trouble figuring out why faceting didn't work in some instances, it took a while before I noticed the _These facets timed out_ notice. It might help if that would be highlighted, or fading out highlight - if one might think it would be too visually disturbing.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1990/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1533673397,I_kwDOBm6k_c5baf-1,1991,fts5 tables are not auto-detected and hidden,83819,keturn,open,0,,,,,0,2023-01-15T06:00:42Z,2023-01-20T04:54:24Z,,NONE,,"I set up a [Datasette instance](https://huggingface.co/spaces/Sygil/INE-dataset-explorer/tree/main) and was following the docs on full-text search. When I used fts4, datasette automatically hid the FTS tables and added the FTS search box where appropriate, but when I changed to fts5 it no longer does either. If I [manually set](https://huggingface.co/spaces/keturn/INED-datasette/blob/main/metadata.json#L9) `fts_table` for a view, then search does work as expected. My table and view creation code looks like this: ```py connection.execute(""""""CREATE TABLE IF NOT EXISTS captions(image_key text PRIMARY KEY, caption text NOT NULL) """""")   connection.execute(""""""CREATE VIRTUAL TABLE captions_fts USING fts5(caption, image_key UNINDEXED, content=captions) """""") ```",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1991/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1536851861,I_kwDOBm6k_c5bmn-V,1994,Stuck on loading screen,10913053,jackhagley,open,0,,,,,1,2023-01-17T18:33:49Z,2023-01-23T08:21:08Z,,NONE,,"Can’t actually open it! Downloaded today from the releases tab Running macOS13.1 ``` bin/python3.9 --version Python 3.9.6 Took 83ms bin/python3.9 --version Python 3.9.6 Took 113ms bin/pip install datasette>=0.59 datasette-app-support>=0.11.6 datasette-vega>=0.6.2 datasette-cluster-map>=0.17.1 datasette-pretty-json>=0.2.1 datasette-edit-schema>=0.4 datasette-configure-fts>=1.1 datasette-leaflet>=0.2.2 --disable-pip-version-check Requirement already satisfied: datasette>=0.59 in lib/python3.9/site-packages (0.63) Requirement already satisfied: datasette-app-support>=0.11.6 in lib/python3.9/site-packages (0.11.6) Requirement already satisfied: datasette-vega>=0.6.2 in lib/python3.9/site-packages (0.6.2) Requirement already satisfied: datasette-cluster-map>=0.17.1 in lib/python3.9/site-packages (0.17.2) Requirement already satisfied: datasette-pretty-json>=0.2.1 in lib/python3.9/site-packages (0.2.2) Requirement already satisfied: datasette-edit-schema>=0.4 in lib/python3.9/site-packages (0.5.1) Requirement already satisfied: datasette-configure-fts>=1.1 in lib/python3.9/site-packages (1.1) Requirement already satisfied: datasette-leaflet>=0.2.2 in lib/python3.9/site-packages (0.2.2) Requirement already satisfied: click>=7.1.1 in lib/python3.9/site-packages (from datasette>=0.59) (8.1.3) Requirement already satisfied: hupper>=1.9 in lib/python3.9/site-packages (from datasette>=0.59) (1.10.3) Requirement already satisfied: pint>=0.9 in lib/python3.9/site-packages (from datasette>=0.59) (0.20.1) Requirement already satisfied: PyYAML>=5.3 in lib/python3.9/site-packages (from datasette>=0.59) (6.0) Requirement already satisfied: httpx>=0.20 in lib/python3.9/site-packages (from datasette>=0.59) (0.23.0) Requirement already satisfied: aiofiles>=0.4 in lib/python3.9/site-packages (from datasette>=0.59) (22.1.0) Requirement already satisfied: asgi-csrf>=0.9 in lib/python3.9/site-packages (from datasette>=0.59) (0.9) Requirement already satisfied: asgiref>=3.2.10 in lib/python3.9/site-packages (from datasette>=0.59) (3.5.2) Requirement already satisfied: uvicorn>=0.11 in lib/python3.9/site-packages (from datasette>=0.59) (0.19.0) Requirement already satisfied: itsdangerous>=1.1 in lib/python3.9/site-packages (from datasette>=0.59) (2.1.2) Requirement already satisfied: click-default-group-wheel>=1.2.2 in lib/python3.9/site-packages (from datasette>=0.59) (1.2.2) Requirement already satisfied: janus>=0.6.2 in lib/python3.9/site-packages (from datasette>=0.59) (1.0.0) Requirement already satisfied: pluggy>=1.0 in lib/python3.9/site-packages (from datasette>=0.59) (1.0.0) Requirement already satisfied: Jinja2>=2.10.3 in lib/python3.9/site-packages (from datasette>=0.59) (3.1.2) Requirement already satisfied: mergedeep>=1.1.1 in lib/python3.9/site-packages (from datasette>=0.59) (1.3.4) Requirement already satisfied: sqlite-utils in lib/python3.9/site-packages (from datasette-app-support>=0.11.6) (3.30) Requirement already satisfied: packaging in lib/python3.9/site-packages (from datasette-app-support>=0.11.6) (21.3) Requirement already satisfied: python-multipart in lib/python3.9/site-packages (from asgi-csrf>=0.9->datasette>=0.59) (0.0.5) Requirement already satisfied: httpcore<0.16.0,>=0.15.0 in lib/python3.9/site-packages (from httpx>=0.20->datasette>=0.59) (0.15.0) Requirement already satisfied: certifi in lib/python3.9/site-packages (from httpx>=0.20->datasette>=0.59) (2022.9.24) Requirement already satisfied: rfc3986[idna2008]<2,>=1.3 in lib/python3.9/site-packages (from httpx>=0.20->datasette>=0.59) (1.5.0) Requirement already satisfied: sniffio in lib/python3.9/site-packages (from httpx>=0.20->datasette>=0.59) (1.3.0) Requirement already satisfied: h11<0.13,>=0.11 in lib/python3.9/site-packages (from httpcore<0.16.0,>=0.15.0->httpx>=0.20->datasette>=0.59) (0.12.0) Requirement already satisfied: anyio==3.* in lib/python3.9/site-packages (from httpcore<0.16.0,>=0.15.0->httpx>=0.20->datasette>=0.59) (3.6.2) Requirement already satisfied: idna>=2.8 in lib/python3.9/site-packages (from anyio==3.*->httpcore<0.16.0,>=0.15.0->httpx>=0.20->datasette>=0.59) (3.4) Requirement already satisfied: typing-extensions>=3.7.4.3 in lib/python3.9/site-packages (from janus>=0.6.2->datasette>=0.59) (4.4.0) Requirement already satisfied: MarkupSafe>=2.0 in lib/python3.9/site-packages (from Jinja2>=2.10.3->datasette>=0.59) (2.1.1) Requirement already satisfied: tabulate in lib/python3.9/site-packages (from sqlite-utils->datasette-app-support>=0.11.6) (0.9.0) Requirement already satisfied: python-dateutil in lib/python3.9/site-packages (from sqlite-utils->datasette-app-support>=0.11.6) (2.8.2) Requirement already satisfied: sqlite-fts4 in lib/python3.9/site-packages (from sqlite-utils->datasette-app-support>=0.11.6) (1.0.3) Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in lib/python3.9/site-packages (from packaging->datasette-app-support>=0.11.6) (3.0.9) Requirement already satisfied: six>=1.5 in lib/python3.9/site-packages (from python-dateutil->sqlite-utils->datasette-app-support>=0.11.6) (1.16.0) Took 784ms ``` STUCK",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1994/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1538197093,I_kwDOBm6k_c5brwZl,1995,foreign_keys error 500,137183,jonschoning,open,0,,,,,0,2023-01-18T15:27:36Z,2023-01-18T16:44:01Z,,NONE,,"**Error 500 expected string or bytes-like object** [espial-new.sqlite3.zip](https://github.com/simonw/datasette/files/10447965/espial-new.sqlite3.zip) run `datasette espial-new.sqlite3` & click on any table other than `User` ``` /home/jon/.local/lib/python3.10/site-packages/datasette/app.py:814 in │ │ expand_foreign_keys │ │ │ │ 811 │ │ │ from {other_table} │ │ 812 │ │ │ where {other_column} in ({placeholders}) │ │ 813 │ │ """""".format( │ │ ❱ 814 │ │ │ other_column=escape_sqlite(fk[""other_column""]), │ │ 815 │ │ │ label_column=escape_sqlite(label_column), │ │ 816 │ │ │ other_table=escape_sqlite(fk[""other_table""]), │ │ 817 │ │ │ placeholders="", "".join([""?""] * len(set(values))), │ │ │ │ ╭───────────────────────────── locals ──────────────────────────────╮ │ │ │ column = 'user_id' │ │ │ │ database = 'espial-new' │ │ │ │ db = │ │ │ │ fk = { │ │ │ │ │ 'column': 'user_id', │ │ │ │ │ 'other_table': 'user', │ │ │ │ │ 'other_column': None │ │ │ │ } │ │ │ │ foreign_keys = [ │ │ │ │ │ { │ │ │ │ │ │ 'column': 'user_id', │ │ │ │ │ │ 'other_table': 'user', │ │ │ │ │ │ 'other_column': None │ │ │ │ │ } │ │ │ │ ] │ │ │ │ label_column = 'name' │ │ │ │ labeled_fks = {} │ │ │ │ self = │ │ │ │ table = 'bookmark' │ │ │ │ values = [] │ │ │ ╰───────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/jon/.local/lib/python3.10/site-packages/datasette/utils/__init__.py:346 │ │ in escape_sqlite │ │ │ │ 343 │ │ 344 │ │ 345 def escape_sqlite(s): │ │ ❱ 346 │ if _boring_keyword_re.match(s) and (s.lower() not in reserved_words) │ │ 347 │ │ return s │ │ 348 │ else: │ │ 349 │ │ return f""[{s}]"" │ │ │ │ ╭─ locals ─╮ │ │ │ s = None │ │ │ ╰──────────╯ │ ╰─────────────────────────────────────────────────────────────────────────────────╯ TypeError: expected string or bytes-like object Traceback (most recent call last): File ""/home/jon/.local/lib/python3.10/site-packages/datasette/app.py"", line 1354, in route_path response = await view(request, send) File ""/home/jon/.local/lib/python3.10/site-packages/datasette/views/base.py"", line 134, in view return await self.dispatch_request(request) File ""/home/jon/.local/lib/python3.10/site-packages/datasette/views/base.py"", line 91, in dispatch_request return await handler(request) File ""/home/jon/.local/lib/python3.10/site-packages/datasette/views/base.py"", line 361, in get response_or_template_contexts = await self.data(request, **data_kwargs) File ""/home/jon/.local/lib/python3.10/site-packages/datasette/views/table.py"", line 158, in data return await self._data_traced(request, default_labels, _next, _size) File ""/home/jon/.local/lib/python3.10/site-packages/datasette/views/table.py"", line 603, in _data_traced await self.ds.expand_foreign_keys( File ""/home/jon/.local/lib/python3.10/site-packages/datasette/app.py"", line 814, in expand_foreign_keys other_column=escape_sqlite(fk[""other_column""]), File ""/home/jon/.local/lib/python3.10/site-packages/datasette/utils/__init__.py"", line 346, in escape_sqlite if _boring_keyword_re.match(s) and (s.lower() not in reserved_words): TypeError: expected string or bytes-like object INFO: 127.0.0.1:38574 - ""GET /espial-new/bookmark HTTP/1.1"" 500 Internal Server Error INFO: 127.0.0.1:38574 - ""GET /-/static/app.css?d59929 HTTP/1.1"" 200 OK ``` Schema: ``` CREATE TABLE IF NOT EXISTS ""user"" ( ""id"" INTEGER PRIMARY KEY, ""name"" VARCHAR NOT NULL, ""password_hash"" VARCHAR NOT NULL, ""api_token"" VARCHAR NULL, ""private_default"" BOOLEAN NOT NULL, ""archive_default"" BOOLEAN NOT NULL, ""privacy_lock"" BOOLEAN NOT NULL, CONSTRAINT ""unique_user_name"" UNIQUE (""name"") ); CREATE TABLE IF NOT EXISTS ""bookmark"" ( ""id"" INTEGER PRIMARY KEY, ""user_id"" INTEGER NOT NULL REFERENCES ""user"" ON DELETE RESTRICT ON UPDATE RESTRICT, ""slug"" VARCHAR NOT NULL DEFAULT (Lower(Hex(Randomblob(6)))), ""href"" VARCHAR NOT NULL, ""description"" VARCHAR NOT NULL, ""extended"" VARCHAR NOT NULL, ""time"" TIMESTAMP NOT NULL, ""shared"" BOOLEAN NOT NULL, ""to_read"" BOOLEAN NOT NULL, ""selected"" BOOLEAN NOT NULL, ""archive_href"" VARCHAR NULL, CONSTRAINT ""unique_user_href"" UNIQUE (""user_id"", ""href""), CONSTRAINT ""unique_user_slug"" UNIQUE (""user_id"", ""slug"") ); CREATE TABLE IF NOT EXISTS ""bookmark_tag"" ( ""id"" INTEGER PRIMARY KEY, ""user_id"" INTEGER NOT NULL REFERENCES ""user"" ON DELETE RESTRICT ON UPDATE RESTRICT, ""tag"" VARCHAR NOT NULL, ""bookmark_id"" INTEGER NOT NULL REFERENCES ""bookmark"" ON DELETE RESTRICT ON UPDATE RESTRICT, ""seq"" INTEGER NOT NULL, CONSTRAINT ""unique_user_tag_bookmark_id"" UNIQUE (""user_id"", ""tag"", ""bookmark_id""), CONSTRAINT ""unique_user_bookmark_id_tag_seq"" UNIQUE (""user_id"", ""bookmark_id"", ""tag"", ""seq"") ); CREATE TABLE IF NOT EXISTS ""note"" ( ""id"" INTEGER PRIMARY KEY, ""user_id"" INTEGER NOT NULL REFERENCES ""user"" ON DELETE RESTRICT ON UPDATE RESTRICT, ""slug"" VARCHAR NOT NULL DEFAULT (Lower(Hex(Randomblob(10)))), ""length"" INTEGER NOT NULL, ""title"" VARCHAR NOT NULL, ""text"" VARCHAR NOT NULL, ""is_markdown"" BOOLEAN NOT NULL, ""shared"" BOOLEAN NOT NULL DEFAULT false, ""created"" TIMESTAMP NOT NULL, ""updated"" TIMESTAMP NOT NULL ); CREATE INDEX idx_bookmark_time ON bookmark (user_id, time DESC); CREATE INDEX idx_bookmark_tag_bookmark_id ON bookmark_tag (bookmark_id, id, tag, seq); CREATE INDEX idx_note_user_created ON note (user_id, created DESC); ``` ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1995/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1550536442,I_kwDOCGYnMM5ca076,521,Custom JSON encoder,31504,janrito,open,0,,,,,0,2023-01-20T09:19:40Z,2023-01-20T09:19:40Z,,NONE,,"It would be nice if we could specify a custom encoder (and decoder) for types that will need extra deserialisation – e.g., sets, enums or sparse matrices – or even project-specific types",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/521/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1553615704,I_kwDOBm6k_c5cmktY,2001,Datasette is not compatible with SQLite's strict quoting compilation option,406380,gwk,open,0,,,,,4,2023-01-23T19:10:07Z,2023-01-25T04:59:58Z,,NONE,,"I have linked Python3.11 on macOS against recent SQLite that was compiled using `-DSQLITE_DQS=0`. This option disables interpretation of double-quoted identifiers as string literals, described in the SQLite docs as a ""MySQL 3.x misfeature"". See https://www.sqlite.org/quirks.html#dblquote for background. Datasette uses the double-quote syntax in a number of key places, and is thus completely broken in this environment. My experience was to `pip install datasette`, then run `datasette serve -I my-data.db`. When I visit `http://127.0.0.1:8001` I get a 500 response. The error: `sqlite3.OperationalError: no such column: geometry_columns` The responsible SQL: `'select 1 from sqlite_master where tbl_name = ""geometry_columns""'` I then installed datasette from GitHub master in development mode and changed the offending SQL to use correct quotes: `""select 1 from sqlite_master where tbl_name = 'geometry_columns'""`. With this change, I get a little further, but have the same problem with the first table name in my database (in my case, ""Meta""): ``` OperationalError: no such column: Meta Traceback (most recent call last): File ""/Users/gwk/external/datasette/datasette/app.py"", line 1522, in route_path response = await view(request, send) ^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/gwk/external/datasette/datasette/views/base.py"", line 151, in view return await self.dispatch_request(request) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/gwk/external/datasette/datasette/views/base.py"", line 105, in dispatch_request response = await handler(request) ^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/gwk/external/datasette/datasette/views/index.py"", line 70, in get ""fts_table"": await db.fts_table(table), ^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/gwk/external/datasette/datasette/database.py"", line 363, in fts_table return await self.execute_fn(lambda conn: detect_fts(conn, table)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/gwk/external/datasette/datasette/database.py"", line 213, in execute_fn return await asyncio.get_event_loop().run_in_executor( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/usr/local/py/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/thread.py"", line 58, in run result = self.fn(*self.args, **self.kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/gwk/external/datasette/datasette/database.py"", line 211, in in_thread return fn(conn) ^^^^^^^^ File ""/Users/gwk/external/datasette/datasette/database.py"", line 363, in return await self.execute_fn(lambda conn: detect_fts(conn, table)) ^^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/gwk/external/datasette/datasette/utils/__init__.py"", line 588, in detect_fts rows = conn.execute(detect_fts_sql(table)).fetchall() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ sqlite3.OperationalError: no such column: Meta INFO: 127.0.0.1:50258 - ""GET / HTTP/1.1"" 500 Internal Server Error ``` I will try to continue playing with this, but I also hope that the datasette developers will enable this mode in a test environment as I am unlikely to be able to exercise all of the SQL in the codebase, or make a pull request very soon. Note that the DQS setting compile-time option can be overridden at runtime with calls to the C API: ``` sqlite3_db_config(db, SQLITE_DBCONFIG_DQS_DDL, 0, (void*)0); sqlite3_db_config(db, SQLITE_DBCONFIG_DQS_DML, 0, (void*)0); ``` As far as I can tell, `sqlite3_db_config` is not exposed in Python, but perhaps we could figure out how to invoke it using `ctypes`. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2001/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1557599877,I_kwDODFE5qs5c1xaF,12,location history changes,14809320,gerardrbentley,open,0,,,,,0,2023-01-26T03:57:25Z,2023-01-26T03:57:25Z,,NONE,,"not sure if each download is unique, but I had to change some things to work with the takeout zip I made 2023-01-25 filename changed from ""Location History.json"" to ""Records.json"" `""timestampMs""` is not present, `""timestamp""` is roughly iso timestamp ```py def get_timestamp_ms(raw_timestamp): try: return datetime.datetime.strptime(raw_timestamp, ""%Y-%m-%dT%H:%M:%SZ"").timestamp() except ValueError: return datetime.datetime.strptime(raw_timestamp, ""%Y-%m-%dT%H:%M:%S.%fZ"").timestamp() def save_location_history(db, zf): location_history = json.load( zf.open(""Takeout/Location History/Records.json"") ) db[""location_history""].upsert_all( ( { ""id"": id_for_location_history(row), ""latitude"": row[""latitudeE7""] / 1e7, ""longitude"": row[""longitudeE7""] / 1e7, ""accuracy"": row[""accuracy""], ""timestampMs"": get_timestamp_ms(row[""timestamp""]), ""when"": row[""timestamp""], } for row in location_history[""locations""] ), pk=""id"", ) def id_for_location_history(row): # We want an ID that is unique but can be sorted by in # date order - so we use the isoformat date + the first # 6 characters of a hash of the JSON first_six = hashlib.sha1( json.dumps(row, separators=("","", "":""), sort_keys=True).encode(""utf8"") ).hexdigest()[:6] return ""{}-{}"".format( row['timestamp'], first_six, ) ``` example locations from mine ```json { ""latitudeE7"": 427220206, ""longitudeE7"": -923423972, ""accuracy"": 10, ""deviceTag"": -1312429967, ""deviceDesignation"": ""PRIMARY"", ""timestamp"": ""2019-01-08T23:31:50.867Z"" } ``` ```json { ""latitudeE7"": 427011317, ""longitudeE7"": -923448300, ""accuracy"": 5, ""deviceTag"": -1312429967, ""deviceDesignation"": ""PRIMARY"", ""timestamp"": ""2019-01-08T23:33:53Z"" }, ```",206649770,google-takeout-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/12/reactions"", ""total_count"": 2, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 2}",, 1571207083,I_kwDOBm6k_c5dprer,2016,Database metadata fields like description are not available in the index page template's context,9993,palewire,open,0,,,3268330,Datasette 1.0,1,2023-02-05T02:25:53Z,2023-02-05T22:56:43Z,,NONE,,"When looping through `databases` in the index.html template, I'd like to print the description of each database alongside its name. But it appears that isn't passed in from the view, unless I'm missing it. It would be great to have that.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2016/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1575880841,I_kwDOBm6k_c5d7giJ,2020,"Documentation refers to ""off"" setting; doesn't seem to work, ""false"" does",1350673,dmick,open,0,,,,,0,2023-02-08T10:38:10Z,2023-02-08T10:38:10Z,,NONE,,"https://docs.datasette.io/en/stable/settings.html#suggest-facets, among others, suggests using ""off"" to disable the setting; however, this doesn't appear to work in the JSON config files, where it apparently needs to be a ""JSON boolean"" and have the values ""true"" or ""false"". Perhaps the Python code is more flexible?...but either way, the documentation probably should mention it.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2020/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1577548579,I_kwDOBm6k_c5eB3sj,2021,Docker images for 1.0 alphas?,1563881,meowcat,open,0,,,,,0,2023-02-09T09:35:52Z,2023-02-09T09:35:52Z,,NONE,,"Hi, would you consider putting 1.0alpha images on Dockerhub? (Also, how usable are the alphas?)",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2021/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1590183272,I_kwDOBm6k_c5eyEVo,2027,"How to redirect from ""/"" to a specific db/table",1350673,dmick,open,0,,,,,4,2023-02-18T03:14:01Z,2023-03-08T04:42:22Z,,NONE,,"Using nginx to redirect public IP to the local uvicorn server as 'normal'. I can't figure out how to redirect such that '/' results in accessing the one db/table I want to serve; redirecting / to /db/table breaks some of the CSS; fooling with base_url doesn't seem to help. Can someone explain this, if it's possible?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2027/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1592327343,I_kwDOBm6k_c5e6Pyv,2029,"Sorry Simon, didn't know how else to contact you",5804626,llchristopherson,open,0,,,,,0,2023-02-20T19:02:53Z,2023-02-20T19:02:53Z,,NONE,,"Hi Simon, Would you be willing to chat with me about Datasette? I have some questions. I am working on a project to evaluate data ingestion tools for a research organization and I ran across Datasette. I have looked through a lot of your documentation, but still have some questions, which are very specific. If you would be willing to write me back about this, my email is laura@renci.org. Thanks, Laura",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2029/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1646068413,I_kwDOBm6k_c5iHQK9,2048,Test failures encountered while packaging for GNU Guix,8332263,Apteryks,open,0,,,,,0,2023-03-29T15:36:54Z,2023-03-29T15:36:54Z,,NONE,,"Hello, While reviewing a packaged submitted to Guix to add `datasette`, the test suite produces the following errors: ``` =================================== FAILURES =================================== _________________________ test_row_strange_table_name __________________________ [gw21] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = def test_row_strange_table_name(app_client): response = app_client.get( ""/fixtures/table~2Fwith~2Fslashes~2Ecsv/3.json?_shape=objects"" ) > assert response.status == 200 E assert 400 == 200 E + where 400 = .status /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:701: AssertionError ----------------------------- Captured stderr call ----------------------------- ERROR: conn=, sql = 'select rowid, * from [table%7E2Fwith%7E2Fslashes%7E2Ecsv] where ""rowid""=:p0', params = {'p0': '3'}: no such table: table%7E2Fwith%7E2Fslashes%7E2Ecsv _______________ test_database_page_for_database_with_dot_in_name _______________ [gw15] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_with_dot = def test_database_page_for_database_with_dot_in_name(app_client_with_dot): response = app_client_with_dot.get(""/fixtures~2Edot.json"") > assert response.status == 200 E assert 302 == 200 E + where 302 = .status /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:633: AssertionError ___________________ test_tilde_encoded_database_names[fo%o] ____________________ [gw6] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python db_name = 'fo%o' @pytest.mark.asyncio @pytest.mark.parametrize(""db_name"", (""foo"", r""fo%o"", ""f~/c.d"")) async def test_tilde_encoded_database_names(db_name): ds = Datasette() ds.add_memory_database(db_name) response = await ds.client.get(""/.json"") assert db_name in response.json().keys() path = response.json()[db_name][""path""] # And the JSON for that database response2 = await ds.client.get(path + "".json"") > assert response2.status_code == 200 E assert 302 == 200 E + where 302 = .status_code /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:983: AssertionError __________________ test_tilde_encoded_database_names[f~/c.d] ___________________ [gw7] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python db_name = 'f~/c.d' @pytest.mark.asyncio @pytest.mark.parametrize(""db_name"", (""foo"", r""fo%o"", ""f~/c.d"")) async def test_tilde_encoded_database_names(db_name): ds = Datasette() ds.add_memory_database(db_name) response = await ds.client.get(""/.json"") assert db_name in response.json().keys() path = response.json()[db_name][""path""] # And the JSON for that database response2 = await ds.client.get(path + "".json"") > assert response2.status_code == 200 E assert 302 == 200 E + where 302 = .status_code /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:983: AssertionError ______________ test_database_with_space_in_name[/searchable.json] ______________ [gw21] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = path = '/searchable.json' @pytest.mark.parametrize( ""path"", ( ""/"", "".json"", ""/searchable"", ""/searchable.json"", ""/searchable_view"", ""/searchable_view.json"", ), ) def test_database_with_space_in_name(app_client_two_attached_databases, path): > response = app_client_two_attached_databases.get( ""/extra~20database"" + path, follow_redirects=True ) /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in __call__ return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(*args, **kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = request = follow_redirects = True history = [, , , , , , ...] async def _send_handling_redirects( self, request: Request, follow_redirects: bool, history: typing.List[Response], ) -> Response: while True: if len(history) > self.max_redirects: > raise TooManyRedirects( ""Exceeded maximum allowed redirects."", request=request ) E httpx.TooManyRedirects: Exceeded maximum allowed redirects. /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects ___________________ test_database_with_space_in_name[.json] ____________________ [gw19] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = path = '.json' @pytest.mark.parametrize( ""path"", ( ""/"", "".json"", ""/searchable"", ""/searchable.json"", ""/searchable_view"", ""/searchable_view.json"", ), ) def test_database_with_space_in_name(app_client_two_attached_databases, path): > response = app_client_two_attached_databases.get( ""/extra~20database"" + path, follow_redirects=True ) /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in __call__ return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(*args, **kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = request = follow_redirects = True history = [, , , , , , ...] async def _send_handling_redirects( self, request: Request, follow_redirects: bool, history: typing.List[Response], ) -> Response: while True: if len(history) > self.max_redirects: > raise TooManyRedirects( ""Exceeded maximum allowed redirects."", request=request ) E httpx.TooManyRedirects: Exceeded maximum allowed redirects. /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects ______________ test_database_with_space_in_name[/searchable_view] ______________ [gw22] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = path = '/searchable_view' @pytest.mark.parametrize( ""path"", ( ""/"", "".json"", ""/searchable"", ""/searchable.json"", ""/searchable_view"", ""/searchable_view.json"", ), ) def test_database_with_space_in_name(app_client_two_attached_databases, path): > response = app_client_two_attached_databases.get( ""/extra~20database"" + path, follow_redirects=True ) /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in __call__ return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(*args, **kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = request = follow_redirects = True history = [, , , , , , ...] async def _send_handling_redirects( self, request: Request, follow_redirects: bool, history: typing.List[Response], ) -> Response: while True: if len(history) > self.max_redirects: > raise TooManyRedirects( ""Exceeded maximum allowed redirects."", request=request ) E httpx.TooManyRedirects: Exceeded maximum allowed redirects. /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects _____________________ test_database_with_space_in_name[/] ______________________ [gw18] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = path = '/' @pytest.mark.parametrize( ""path"", ( ""/"", "".json"", ""/searchable"", ""/searchable.json"", ""/searchable_view"", ""/searchable_view.json"", ), ) def test_database_with_space_in_name(app_client_two_attached_databases, path): > response = app_client_two_attached_databases.get( ""/extra~20database"" + path, follow_redirects=True ) /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in __call__ return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(*args, **kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = request = follow_redirects = True history = [, , , , , , ...] async def _send_handling_redirects( self, request: Request, follow_redirects: bool, history: typing.List[Response], ) -> Response: while True: if len(history) > self.max_redirects: > raise TooManyRedirects( ""Exceeded maximum allowed redirects."", request=request ) E httpx.TooManyRedirects: Exceeded maximum allowed redirects. /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects ________________ test_database_with_space_in_name[/searchable] _________________ [gw20] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = path = '/searchable' @pytest.mark.parametrize( ""path"", ( ""/"", "".json"", ""/searchable"", ""/searchable.json"", ""/searchable_view"", ""/searchable_view.json"", ), ) def test_database_with_space_in_name(app_client_two_attached_databases, path): > response = app_client_two_attached_databases.get( ""/extra~20database"" + path, follow_redirects=True ) /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in __call__ return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(*args, **kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = request = follow_redirects = True history = [, , , , , , ...] async def _send_handling_redirects( self, request: Request, follow_redirects: bool, history: typing.List[Response], ) -> Response: while True: if len(history) > self.max_redirects: > raise TooManyRedirects( ""Exceeded maximum allowed redirects."", request=request ) E httpx.TooManyRedirects: Exceeded maximum allowed redirects. /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects ___________ test_database_with_space_in_name[/searchable_view.json] ____________ [gw23] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client_two_attached_databases = path = '/searchable_view.json' @pytest.mark.parametrize( ""path"", ( ""/"", "".json"", ""/searchable"", ""/searchable.json"", ""/searchable_view"", ""/searchable_view.json"", ), ) def test_database_with_space_in_name(app_client_two_attached_databases, path): > response = app_client_two_attached_databases.get( ""/extra~20database"" + path, follow_redirects=True ) /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:920: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:223: in __call__ return call_result.result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:438: in result return self.__get_result() /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/concurrent/futures/_base.py:390: in __get_result raise self._exception /gnu/store/mcclmphjgbrgpa0v037a4nlq336482g8-python-asgiref-3.4.1/lib/python3.9/site-packages/asgiref/sync.py:292: in main_wrap result = await self.awaitable(*args, **kwargs) /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:66: in get return await self._request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:156: in _request httpx_response = await self.ds.client.request( /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/app.py:1602: in request return await client.request( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1527: in request return await self.send(request, auth=auth, follow_redirects=follow_redirects) /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1614: in send response = await self._send_handling_auth( /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1642: in _send_handling_auth response = await self._send_handling_redirects( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = request = follow_redirects = True history = [, , , , , , ...] async def _send_handling_redirects( self, request: Request, follow_redirects: bool, history: typing.List[Response], ) -> Response: while True: if len(history) > self.max_redirects: > raise TooManyRedirects( ""Exceeded maximum allowed redirects."", request=request ) E httpx.TooManyRedirects: Exceeded maximum allowed redirects. /gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects ________________ test_weird_database_names[database (1).sqlite] ________________ [gw7] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python tmpdir = local('/tmp/guix-build-datasette-0.64.2.drv-0/pytest-of-nixbld/pytest-0/popen-gw7/test_weird_database_names_data0') filename = 'database (1).sqlite' @pytest.mark.parametrize( ""filename"", [""test-database (1).sqlite"", ""database (1).sqlite""] ) def test_weird_database_names(tmpdir, filename): # https://github.com/simonw/datasette/issues/1181 runner = CliRunner() db_path = str(tmpdir / filename) sqlite3.connect(db_path).execute(""vacuum"") result1 = runner.invoke(cli, [db_path, ""--get"", ""/""]) assert result1.exit_code == 0, result1.output filename_no_stem = filename.rsplit(""."", 1)[0] expected_link = '{}'.format( tilde_encode(filename_no_stem), filename_no_stem ) assert expected_link in result1.output # Now try hitting that database page result2 = runner.invoke( cli, [db_path, ""--get"", ""/{}"".format(tilde_encode(filename_no_stem))] ) > assert result2.exit_code == 0, result2.output E AssertionError: E E assert 1 == 0 E + where 1 = .exit_code /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_cli.py:321: AssertionError _____________ test_weird_database_names[test-database (1).sqlite] ______________ [gw6] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python tmpdir = local('/tmp/guix-build-datasette-0.64.2.drv-0/pytest-of-nixbld/pytest-0/popen-gw6/test_weird_database_names_test0') filename = 'test-database (1).sqlite' @pytest.mark.parametrize( ""filename"", [""test-database (1).sqlite"", ""database (1).sqlite""] ) def test_weird_database_names(tmpdir, filename): # https://github.com/simonw/datasette/issues/1181 runner = CliRunner() db_path = str(tmpdir / filename) sqlite3.connect(db_path).execute(""vacuum"") result1 = runner.invoke(cli, [db_path, ""--get"", ""/""]) assert result1.exit_code == 0, result1.output filename_no_stem = filename.rsplit(""."", 1)[0] expected_link = '{}'.format( tilde_encode(filename_no_stem), filename_no_stem ) assert expected_link in result1.output # Now try hitting that database page result2 = runner.invoke( cli, [db_path, ""--get"", ""/{}"".format(tilde_encode(filename_no_stem))] ) > assert result2.exit_code == 0, result2.output E AssertionError: E E assert 1 == 0 E + where 1 = .exit_code /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_cli.py:321: AssertionError _ test_row_html_compound_primary_key[/fixtures/compound_primary_key/a~2Fb,~2Ec~2Dd-expected1] _ [gw11] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = path = '/fixtures/compound_primary_key/a~2Fb,~2Ec~2Dd' expected = [['a/b', '.c-d', 'c']] @pytest.mark.parametrize( ""path,expected"", ( ( ""/fixtures/compound_primary_key/a,b"", [ [ 'a', 'b', 'c', ] ], ), ( ""/fixtures/compound_primary_key/a~2Fb,~2Ec~2Dd"", [ [ 'a/b', '.c-d', 'c', ] ], ), ), ) def test_row_html_compound_primary_key(app_client, path, expected): response = app_client.get(path) > assert response.status == 200 E assert 302 == 200 E + where 302 = .status /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_html.py:370: AssertionError _ test_css_classes_on_body[/fixtures/table~2Fwith~2Fslashes~2Ecsv-expected_classes5] _ [gw3] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = path = '/fixtures/table~2Fwith~2Fslashes~2Ecsv' expected_classes = ['table', 'db-fixtures', 'table-tablewithslashescsv-fa7563'] @pytest.mark.parametrize( ""path,expected_classes"", [ (""/"", [""index""]), (""/fixtures"", [""db"", ""db-fixtures""]), (""/fixtures?sql=select+1"", [""query"", ""db-fixtures""]), ( ""/fixtures/simple_primary_key"", [""table"", ""db-fixtures"", ""table-simple_primary_key""], ), ( ""/fixtures/neighborhood_search"", [""query"", ""db-fixtures"", ""query-neighborhood_search""], ), ( ""/fixtures/table~2Fwith~2Fslashes~2Ecsv"", [""table"", ""db-fixtures"", ""table-tablewithslashescsv-fa7563""], ), ( ""/fixtures/simple_primary_key/1"", [""row"", ""db-fixtures"", ""table-simple_primary_key""], ), ], ) def test_css_classes_on_body(app_client, path, expected_classes): response = app_client.get(path) > assert response.status == 200 E assert 302 == 200 E + where 302 = .status /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_html.py:238: AssertionError _ test_templates_considered[/fixtures/table~2Fwith~2Fslashes~2Ecsv-table-fixtures-tablewithslashescsv-fa7563.html, *table.html] _ [gw3] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = path = '/fixtures/table~2Fwith~2Fslashes~2Ecsv' expected_considered = 'table-fixtures-tablewithslashescsv-fa7563.html, *table.html' @pytest.mark.parametrize( ""path,expected_considered"", [ (""/"", ""*index.html""), (""/fixtures"", ""database-fixtures.html, *database.html""), ( ""/fixtures/simple_primary_key"", ""table-fixtures-simple_primary_key.html, *table.html"", ), ( ""/fixtures/table~2Fwith~2Fslashes~2Ecsv"", ""table-fixtures-tablewithslashescsv-fa7563.html, *table.html"", ), ( ""/fixtures/simple_primary_key/1"", ""row-fixtures-simple_primary_key.html, *row.html"", ), ], ) def test_templates_considered(app_client, path, expected_considered): response = app_client.get(path) > assert response.status == 200 E assert 302 == 200 E + where 302 = .status /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_html.py:264: AssertionError _ test_alternate_url_json[/fixtures/table~2Fwith~2Fslashes~2Ecsv-http://localhost/fixtures/table~2Fwith~2Fslashes~2Ecsv.json] _ [gw21] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = path = '/fixtures/table~2Fwith~2Fslashes~2Ecsv' expected = 'http://localhost/fixtures/table~2Fwith~2Fslashes~2Ecsv.json' @pytest.mark.parametrize( ""path,expected"", ( # Instance index page (""/"", ""http://localhost/.json""), # Table page (""/fixtures/facetable"", ""http://localhost/fixtures/facetable.json""), ( ""/fixtures/table~2Fwith~2Fslashes~2Ecsv"", ""http://localhost/fixtures/table~2Fwith~2Fslashes~2Ecsv.json"", ), # Row page ( ""/fixtures/no_primary_key/1"", ""http://localhost/fixtures/no_primary_key/1.json"", ), # Database index page ( ""/fixtures"", ""http://localhost/fixtures.json"", ), # Custom query page ( ""/fixtures?sql=select+*+from+facetable"", ""http://localhost/fixtures.json?sql=select+*+from+facetable"", ), # Canned query page ( ""/fixtures/neighborhood_search?text=town"", ""http://localhost/fixtures/neighborhood_search.json?text=town"", ), # /-/ pages ( ""/-/plugins"", ""http://localhost/-/plugins.json"", ), ), ) def test_alternate_url_json(app_client, path, expected): response = app_client.get(path) > assert response.status == 200 E assert 302 == 200 E + where 302 = .status /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_html.py:948: AssertionError _ test_edit_sql_link_on_canned_queries[/fixtures/~F0~9D~90~9C~F0~9D~90~A2~F0~9D~90~AD~F0~9D~90~A2~F0~9D~90~9E~F0~9D~90~AC-/fixtures?sql=select+id%2C+name+from+facet_cities+order+by+id+limit+1%3B] _ [gw18] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = path = '/fixtures/~F0~9D~90~9C~F0~9D~90~A2~F0~9D~90~AD~F0~9D~90~A2~F0~9D~90~9E~F0~9D~90~AC' expected = '/fixtures?sql=select+id%2C+name+from+facet_cities+order+by+id+limit+1%3B' @pytest.mark.parametrize( ""path,expected"", [ ( ""/fixtures/neighborhood_search"", ""/fixtures?sql=%0Aselect+_neighborhood%2C+facet_cities.name%2C+state%0Afrom+facetable%0A++++join+facet_cities%0A++++++++on+facetable._city_id+%3D+facet_cities.id%0Awhere+_neighborhood+like+%27%25%27+%7C%7C+%3Atext+%7C%7C+%27%25%27%0Aorder+by+_neighborhood%3B%0A&text="", ), ( ""/fixtures/neighborhood_search?text=ber"", ""/fixtures?sql=%0Aselect+_neighborhood%2C+facet_cities.name%2C+state%0Afrom+facetable%0A++++join+facet_cities%0A++++++++on+facetable._city_id+%3D+facet_cities.id%0Awhere+_neighborhood+like+%27%25%27+%7C%7C+%3Atext+%7C%7C+%27%25%27%0Aorder+by+_neighborhood%3B%0A&text=ber"", ), (""/fixtures/pragma_cache_size"", None), ( # /fixtures/𝐜𝐢𝐭𝐢𝐞𝐬 ""/fixtures/~F0~9D~90~9C~F0~9D~90~A2~F0~9D~90~AD~F0~9D~90~A2~F0~9D~90~9E~F0~9D~90~AC"", ""/fixtures?sql=select+id%2C+name+from+facet_cities+order+by+id+limit+1%3B"", ), (""/fixtures/magic_parameters"", None), ], ) def test_edit_sql_link_on_canned_queries(app_client, path, expected): response = app_client.get(path) > assert response.status == 200 E assert 302 == 200 E + where 302 = .status /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_html.py:841: AssertionError _______________________ test_table_with_slashes_in_name ________________________ [gw9] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = def test_table_with_slashes_in_name(app_client): response = app_client.get( ""/fixtures/table~2Fwith~2Fslashes~2Ecsv.json?_shape=objects"" ) > assert response.status == 200 E assert 302 == 200 E + where 302 = .status /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_table_api.py:141: AssertionError __________________ test_custom_query_with_unicode_characters ___________________ [gw8] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = def test_custom_query_with_unicode_characters(app_client): # /fixtures/𝐜𝐢𝐭𝐢𝐞𝐬.json response = app_client.get( ""/fixtures/~F0~9D~90~9C~F0~9D~90~A2~F0~9D~90~AD~F0~9D~90~A2~F0~9D~90~9E~F0~9D~90~AC.json?_shape=array"" ) > assert [{""id"": 1, ""name"": ""San Francisco""}] == response.json /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_table_api.py:1042: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /tmp/guix-build-datasette-0.64.2.drv-0/source/datasette/utils/testing.py:40: in json return json.loads(self.text) /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/json/__init__.py:346: in loads return _default_decoder.decode(s) /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/json/decoder.py:337: in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , s = '', idx = 0 def raw_decode(self, s, idx=0): """"""Decode a JSON document from ``s`` (a ``str`` beginning with a JSON document) and return a 2-tuple of the Python representation and the index in ``s`` where the document ended. This can be used to decode a JSON document from a string that may have extraneous data at the end. """""" try: obj, end = self.scan_once(s, idx) except StopIteration as err: > raise JSONDecodeError(""Expecting value"", s, err.value) from None E json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) /gnu/store/65i3nhcwmz0p8rqbg48gaavyky4g4hwk-python-3.9.9/lib/python3.9/json/decoder.py:355: JSONDecodeError _ test_searchable[/fixtures/searchable.json?_search=te*+AND+do*&_searchmode=raw-expected_rows3] _ [gw13] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = path = '/fixtures/searchable.json?_search=te*+AND+do*&_searchmode=raw' expected_rows = [[1, 'barry cat', 'terry dog', 'panther'], [2, 'terry dog', 'sara weasel', 'puma']] @pytest.mark.parametrize( ""path,expected_rows"", [ ( ""/fixtures/searchable.json?_search=dog"", [ [1, ""barry cat"", ""terry dog"", ""panther""], [2, ""terry dog"", ""sara weasel"", ""puma""], ], ), ( # Special keyword shouldn't break FTS query ""/fixtures/searchable.json?_search=AND"", [], ), ( # Without _searchmode=raw this should return no results ""/fixtures/searchable.json?_search=te*+AND+do*"", [], ), ( # _searchmode=raw ""/fixtures/searchable.json?_search=te*+AND+do*&_searchmode=raw"", [ [1, ""barry cat"", ""terry dog"", ""panther""], [2, ""terry dog"", ""sara weasel"", ""puma""], ], ), ( # _searchmode=raw combined with _search_COLUMN ""/fixtures/searchable.json?_search_text2=te*&_searchmode=raw"", [ [1, ""barry cat"", ""terry dog"", ""panther""], ], ), ( ""/fixtures/searchable.json?_search=weasel"", [[2, ""terry dog"", ""sara weasel"", ""puma""]], ), ( ""/fixtures/searchable.json?_search_text2=dog"", [[1, ""barry cat"", ""terry dog"", ""panther""]], ), ( ""/fixtures/searchable.json?_search_name%20with%20.%20and%20spaces=panther"", [[1, ""barry cat"", ""terry dog"", ""panther""]], ), ], ) def test_searchable(app_client, path, expected_rows): response = app_client.get(path) > assert expected_rows == response.json[""rows""] E AssertionError: assert [[1, 'barry cat', 'terry dog', 'panther'],\n [2, 'terry dog', 'sara weasel', 'puma']] == [] E Left contains 2 more items, first extra item: [1, 'barry cat', 'terry dog', 'panther'] E Full diff: E [ E - , E + [1, E + 'barry cat', E + 'terry dog', E + 'panther'], E + [2, E + 'terry dog', E + 'sara weasel', E + 'puma'], E ] /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_table_api.py:402: AssertionError _____ test_searchmode[table_metadata1-_search=te*+AND+do*-expected_rows1] ______ [gw20] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python table_metadata = {'searchmode': 'raw'}, querystring = '_search=te*+AND+do*' expected_rows = [[1, 'barry cat', 'terry dog', 'panther'], [2, 'terry dog', 'sara weasel', 'puma']] @pytest.mark.parametrize( ""table_metadata,querystring,expected_rows"", [ ( {}, ""_search=te*+AND+do*"", [], ), ( {""searchmode"": ""raw""}, ""_search=te*+AND+do*"", _SEARCHMODE_RAW_RESULTS, ), ( {}, ""_search=te*+AND+do*&_searchmode=raw"", _SEARCHMODE_RAW_RESULTS, ), # Can be over-ridden with _searchmode=escaped ( {""searchmode"": ""raw""}, ""_search=te*+AND+do*&_searchmode=escaped"", [], ), ], ) def test_searchmode(table_metadata, querystring, expected_rows): with make_app_client( metadata={""databases"": {""fixtures"": {""tables"": {""searchable"": table_metadata}}}} ) as client: response = client.get(""/fixtures/searchable.json?"" + querystring) > assert expected_rows == response.json[""rows""] E AssertionError: assert [[1, 'barry cat', 'terry dog', 'panther'],\n [2, 'terry dog', 'sara weasel', 'puma']] == [] E Left contains 2 more items, first extra item: [1, 'barry cat', 'terry dog', 'panther'] E Full diff: E [ E - , E + [1, E + 'barry cat', E + 'terry dog', E + 'panther'], E + [2, E + 'terry dog', E + 'sara weasel', E + 'puma'], E ] /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_table_api.py:442: AssertionError _ test_searchmode[table_metadata2-_search=te*+AND+do*&_searchmode=raw-expected_rows2] _ [gw20] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python table_metadata = {}, querystring = '_search=te*+AND+do*&_searchmode=raw' expected_rows = [[1, 'barry cat', 'terry dog', 'panther'], [2, 'terry dog', 'sara weasel', 'puma']] @pytest.mark.parametrize( ""table_metadata,querystring,expected_rows"", [ ( {}, ""_search=te*+AND+do*"", [], ), ( {""searchmode"": ""raw""}, ""_search=te*+AND+do*"", _SEARCHMODE_RAW_RESULTS, ), ( {}, ""_search=te*+AND+do*&_searchmode=raw"", _SEARCHMODE_RAW_RESULTS, ), # Can be over-ridden with _searchmode=escaped ( {""searchmode"": ""raw""}, ""_search=te*+AND+do*&_searchmode=escaped"", [], ), ], ) def test_searchmode(table_metadata, querystring, expected_rows): with make_app_client( metadata={""databases"": {""fixtures"": {""tables"": {""searchable"": table_metadata}}}} ) as client: response = client.get(""/fixtures/searchable.json?"" + querystring) > assert expected_rows == response.json[""rows""] E AssertionError: assert [[1, 'barry cat', 'terry dog', 'panther'],\n [2, 'terry dog', 'sara weasel', 'puma']] == [] E Left contains 2 more items, first extra item: [1, 'barry cat', 'terry dog', 'panther'] E Full diff: E [ E - , E + [1, E + 'barry cat', E + 'terry dog', E + 'panther'], E + [2, E + 'terry dog', E + 'sara weasel', E + 'puma'], E ] /tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_table_api.py:442: AssertionError =========================== short test summary info ============================ FAILED tests/test_api.py::test_row_strange_table_name - assert 400 == 200 FAILED tests/test_api.py::test_database_page_for_database_with_dot_in_name - ... FAILED tests/test_api.py::test_tilde_encoded_database_names[fo%o] - assert 30... FAILED tests/test_api.py::test_tilde_encoded_database_names[f~/c.d] - assert ... FAILED tests/test_api.py::test_database_with_space_in_name[/searchable.json] FAILED tests/test_api.py::test_database_with_space_in_name[.json] - httpx.Too... FAILED tests/test_api.py::test_database_with_space_in_name[/searchable_view] FAILED tests/test_api.py::test_database_with_space_in_name[/] - httpx.TooMany... FAILED tests/test_api.py::test_database_with_space_in_name[/searchable] - htt... FAILED tests/test_api.py::test_database_with_space_in_name[/searchable_view.json] FAILED tests/test_cli.py::test_weird_database_names[database (1).sqlite] - As... FAILED tests/test_cli.py::test_weird_database_names[test-database (1).sqlite] FAILED tests/test_html.py::test_row_html_compound_primary_key[/fixtures/compound_primary_key/a~2Fb,~2Ec~2Dd-expected1] FAILED tests/test_html.py::test_css_classes_on_body[/fixtures/table~2Fwith~2Fslashes~2Ecsv-expected_classes5] FAILED tests/test_html.py::test_templates_considered[/fixtures/table~2Fwith~2Fslashes~2Ecsv-table-fixtures-tablewithslashescsv-fa7563.html, *table.html] FAILED tests/test_html.py::test_alternate_url_json[/fixtures/table~2Fwith~2Fslashes~2Ecsv-http://localhost/fixtures/table~2Fwith~2Fslashes~2Ecsv.json] FAILED tests/test_html.py::test_edit_sql_link_on_canned_queries[/fixtures/~F0~9D~90~9C~F0~9D~90~A2~F0~9D~90~AD~F0~9D~90~A2~F0~9D~90~9E~F0~9D~90~AC-/fixtures?sql=select+id%2C+name+from+facet_cities+order+by+id+limit+1%3B] FAILED tests/test_table_api.py::test_table_with_slashes_in_name - assert 302 ... FAILED tests/test_table_api.py::test_custom_query_with_unicode_characters - j... FAILED tests/test_table_api.py::test_searchable[/fixtures/searchable.json?_search=te*+AND+do*&_searchmode=raw-expected_rows3] FAILED tests/test_table_api.py::test_searchmode[table_metadata1-_search=te*+AND+do*-expected_rows1] FAILED tests/test_table_api.py::test_searchmode[table_metadata2-_search=te*+AND+do*&_searchmode=raw-expected_rows2] =========== 22 failed, 1049 passed, 3 skipped in 1522.28s (0:25:22) ============ error: in phase 'check': uncaught exception: %exception #<&invoke-error program: ""/gnu/store/ziqwkzz6znb5d3c245xn0cq5ra2ly0w3-python-pytest-7.1.3/bin/pytest"" arguments: (""-vv"" ""-n"" ""24"" ""-m"" ""not serial"") exit-status: 1 term-signal: #f stop-signal: #f> phase `check' failed after 1523.3 seconds ``` The tests run in a private namespace without internet connectivity, and the Python dependencies are at: ``` python-aiofiles@0.6.0 python-asgi-csrf@0.9 python-asgiref@3.4.1 + python-beautifulsoup4@4.11.1 python-black@22.3.0 python-click-default-group@1.2.2 python-click@8.1.3 + python-cogapp@3.3.0 python-httpx@0.23.0 python-hupper@1.10.3 python-itsdangerous@2.0.1 + python-janus@1.0.0 python-jinja2@3.1.1 python-mergedeep@1.3.4 python-pint@0.20.1 python-pluggy@1.0.0 + python-pytest-asyncio@0.17.2 python-pytest-runner@5.2 python-pytest-timeout@2.0.2 + python-pytest-xdist@2.5.0 python-pytest@7.1.3 python-pyyaml@6.0 python-setuptools@64.0.3 + python-trustme@0.9.0 python-uvicorn@0.17.6 ``` With Python 3.9.9. Thank you!",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2048/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1650981564,I_kwDOJHON9s5iZ_q8,12,Error running pytest,14314871,amlestin,open,0,,,,,0,2023-04-02T15:02:36Z,2023-04-02T15:07:10Z,,NONE,,"`______________________________________________________ ERROR collecting tests/test_apple_notes_to_sqlite.py _______________________________________________________ ImportError while importing test module '/Users/lol/development/apple-notes-to-sqlite/tests/test_apple_notes_to_sqlite.py'. Hint: make sure your test modules/packages have valid Python names. Traceback: /opt/homebrew/Cellar/python@3.9/3.9.16/Frameworks/Python.framework/Versions/3.9/lib/python3.9/importlib/__init__.py:127: in import_module return _bootstrap._gcd_import(name[level:], package, level) tests/test_apple_notes_to_sqlite.py:2: in from apple_notes_to_sqlite.cli import cli, COUNT_SCRIPT, FOLDERS_SCRIPT E ModuleNotFoundError: No module named 'apple_notes_to_sqlite'` Solution: This is likely a PYTHONPATH issue due to having pytest installed both globally and in the venv. We can guarantee the tests run by adding the current directory to sys.path automatically using `python -m pytest` The alternative is to activate the venv, install pytest, deactivate, then activate the venv again (https://stackoverflow.com/questions/35045038/how-do-i-use-pytest-with-virtualenv)",611552758,apple-notes-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/12/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1665053646,I_kwDOBm6k_c5jPrPO,2059,"""Deceptive site ahead"" alert on Heroku deployment",1186275,mtdukes,open,0,,,,,1,2023-04-12T18:34:51Z,2023-04-13T01:13:01Z,,NONE,,"I deployed a fairly basic instance of Datasette (`datasette-auth-passwords` is the only plugin) using Heroku. The deployed URL now gives a ""Deceptive site ahead"" warning to users. Is there way around this? Maybe a way to add ownership verification [through Google's search console](https://search.google.com/search-console/welcome)? ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2059/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1690765434,I_kwDOBm6k_c5kxwh6,2067,Litestream-restored db: errors on 3.11 and 3.10.8; but works on py3.10.7 and 3.10.6,39538958,justmars,open,0,,,,,1,2023-05-01T12:42:28Z,2023-05-03T00:16:03Z,,NONE,,"Hi! Wondering if this issue is limited to my local system or if it affects others as well. It seems like 3.11 errors out on a ""litestream-restored"" database. On further investigation, it also appears to conk out on 3.10.8 but works on 3.10.7 and 3.10.6. To demo issue I created a test database, replicated it to an aws s3 bucket, then restored the same under various .pyenv-versioned shells where I test whether I can read the database via the sqlite3 cli. ```sh # create new shell with 3.11.3 litestream restore -o data/db.sqlite s3://mytestbucketxx/db sqlite3 data/db.sqlite # SQLite version 3.41.2 2023-03-22 11:56:21 # Enter "".help"" for usage hints. # sqlite> .tables # _litestream_lock _litestream_seq movie # sqlite> ``` However this get me an `OperationalError` when reading via datasette:
Error on 3.11.3 and 3.10.8 ```sh datasette data/db.sqlite ``` ```console /tester/.venv/lib/python3.11/site-packages/pkg_resources/__init__.py:121: DeprecationWarning: pkg_resources is deprecated as an API warnings.warn(""pkg_resources is deprecated as an API"", DeprecationWarning) Traceback (most recent call last): File ""/tester/.venv/bin/datasette"", line 8, in sys.exit(cli()) ^^^^^ File ""/tester/.venv/lib/python3.11/site-packages/click/core.py"", line 1130, in __call__ return self.main(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/tester/.venv/lib/python3.11/site-packages/click/core.py"", line 1055, in main rv = self.invoke(ctx) ^^^^^^^^^^^^^^^^ File ""/tester/.venv/lib/python3.11/site-packages/click/core.py"", line 1657, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/tester/.venv/lib/python3.11/site-packages/click/core.py"", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/tester/.venv/lib/python3.11/site-packages/click/core.py"", line 760, in invoke return __callback(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/tester/.venv/lib/python3.11/site-packages/datasette/cli.py"", line 143, in wrapped return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File ""/tester/.venv/lib/python3.11/site-packages/datasette/cli.py"", line 615, in serve asyncio.get_event_loop().run_until_complete(check_databases(ds)) File ""/Users/mv/.pyenv/versions/3.11.3/lib/python3.11/asyncio/base_events.py"", line 653, in run_until_complete return future.result() ^^^^^^^^^^^^^^^ File ""/tester/.venv/lib/python3.11/site-packages/datasette/cli.py"", line 660, in check_databases await database.execute_fn(check_connection) File ""/tester/.venv/lib/python3.11/site-packages/datasette/database.py"", line 213, in execute_fn return await asyncio.get_event_loop().run_in_executor( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/mv/.pyenv/versions/3.11.3/lib/python3.11/concurrent/futures/thread.py"", line 58, in run result = self.fn(*self.args, **self.kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/tester/.venv/lib/python3.11/site-packages/datasette/database.py"", line 211, in in_thread return fn(conn) ^^^^^^^^ File ""/tester/.venv/lib/python3.11/site-packages/datasette/utils/__init__.py"", line 951, in check_connection for r in conn.execute( ^^^^^^^^^^^^^ sqlite3.OperationalError: unable to open database file ```
Works on 3.10.7, 3.10.6 ```sh # create new shell with 3.10.7 / 3.10.6 litestream restore -o data/db.sqlite s3://mytestbucketxx/db datasette data/db.sqlite # ... # INFO: Uvicorn running on http://127.0.0.1:8001 (Press CTRL+C to quit) ```
In both scenarios, the only dependencies were the pinned python version and the latest Datasette version 0.64.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2067/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1698865182,I_kwDOBm6k_c5lQqAe,2069,[BUG] Cannot insert new data to deployed instance,31861128,yqlbu,open,0,,,,,1,2023-05-07T02:59:42Z,2023-05-07T03:17:35Z,,NONE,,"## Summary Recently, I deployed an instance of datasette to Vercel with the following plugins: - datasette-auth-tokens - datasette-insert With the above plugins, I was able to insert new data to local sqlite db. However, when it comes to the deployment on Vercel, things behave differently. I observed some errors from the logs console on Vercel: ```console File ""/var/task/datasette/database.py"", line 179, in _execute_writes conn = self.connect(write=True) File ""/var/task/datasette/database.py"", line 93, in connect assert not (write and not self.is_mutable) AssertionError ``` I think it is a potential bug. ## Reproduce
metadata.json
```json { ""plugins"": { ""datasette-insert"": { ""allow"": { ""id"": ""*"" } }, ""datasette-auth-tokens"": { ""tokens"": [ { ""token"": { ""$env"": ""INSERT_TOKEN"" }, ""actor"": { ""id"": ""repeater"" } } ], ""param"": ""_auth_token"" } } } ```
commands
```bash # deploy datasette publish vercel remote.db \ --project=repeater-bot-sqlite \ --metadata metadata.json \ --install datasette-auth-tokens \ --install datasette-insert \ --vercel-json=vercel.json # test insert cat fixtures/dogs.json | curl --request POST -d @- -H ""Authorization: Bearer "" \ 'https://repeater-bot-sqlite.vercel.app/-/insert/remote/dogs?pk=id' ```
logs
```console Traceback (most recent call last): File ""/var/task/datasette/app.py"", line 1354, in route_path response = await view(request, send) File ""/var/task/datasette/app.py"", line 1500, in async_view_fn response = await async_call_with_supported_arguments( File ""/var/task/datasette/utils/__init__.py"", line 1005, in async_call_with_supported_arguments return await fn(*call_with) File ""/var/task/datasette_insert/__init__.py"", line 14, in insert_or_upsert response = await insert_or_upsert_implementation(request, datasette) File ""/var/task/datasette_insert/__init__.py"", line 91, in insert_or_upsert_implementation table_count = await db.execute_write_fn(write_in_thread, block=True) File ""/var/task/datasette/database.py"", line 167, in execute_write_fn raise result File ""/var/task/datasette/database.py"", line 179, in _execute_writes conn = self.connect(write=True) File ""/var/task/datasette/database.py"", line 93, in connect assert not (write and not self.is_mutable) AssertionError ```
",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2069/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1720096994,I_kwDOCGYnMM5mhpji,554,"`IndexError` when doing `.insert(..., pk='id')` after `insert_all`",1231935,xavdid,open,0,,,,,1,2023-05-22T17:13:02Z,2023-05-22T17:18:33Z,,NONE,,"I believe this is related to https://github.com/simonw/sqlite-utils/issues/98. When `pk` is specified by table A's `insert` call, it throws an index error if a different table has written a row with a higher rowid than exists in the first table. Here's a basic example: ```py from sqlite_utils import Database def test_pk_for_insert(fresh_db): user = {""id"": ""abc"", ""name"": ""david""} fresh_db[""users""].insert(user, pk=""id"") fresh_db[""comments""].insert_all( [ {""id"": ""def"", ""text"": ""ok""}, {""id"": ""ghi"", ""text"": ""great""}, ], ) fresh_db[""users""].insert( user, ignore=True, # BUG: when specifying pk on the second insert call # db.py goes into a block it doesn't expect and we get the error pk=""id"", ) if __name__ == ""__main__"": db = Database(""bug.db"") if db[""users""].exists(): raise ValueError( ""bug only shows on a new database - remove bug.db before running the script"" ) test_pk_for_insert(db) ``` The error is: ```py File ""/Users/david/projects/reddit-to-sqlite/.venv/lib/python3.11/site-packages/sqlite_utils/db.py"", line 2960, in insert_chunk row = list(self.rows_where(""rowid = ?"", [self.last_rowid]))[0] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^ IndexError: list index out of range ``` The issue is in this block: https://github.com/simonw/sqlite-utils/blob/2747257a3334d55e890b40ec58fada57ae8cfbfd/sqlite_utils/db.py#L2954-L2958 relevant locals are: - `pk`: `'id'` - `result.lastrowid`: `2` What's most interesting is the comment `# self.last_rowid will be 0 if a ""INSERT OR IGNORE"" happened`, which doesn't seem to be the case here. ",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/554/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1727478903,I_kwDOBm6k_c5m9zx3,2081,Update Endpoints defined in metadata throws 403 Forbidden after a while,15085007,cutmasta-kun,open,0,,,,,0,2023-05-26T11:52:30Z,2023-05-26T11:52:30Z,,NONE,,"Hello. I expose an endpoint to update `tasks`: ``` { ""title"": ""My Datasette Instance"", ""databases"": { ""tasks"": { ""queries"": { ""update_task"": { ""sql"": ""UPDATE tasks SET status = :status, result = :result, systemMessage = :systemMessage WHERE queueID = :queueID"", ""write"": true, ""on_success_message"": ""Task updated"", ""on_success_redirect"": ""/tasks/tasks.json"", ""on_error_message"": ""Task update failed"", ""on_error_redirect"": ""/tasks.json"", ""params"": [""queueID"", ""taskData"", ""status"", ""result"", ""systemMessage""] } } } } } ``` This works really well! But after a while, the Datasette Instanz answers with **403 Forbidden**. I have to delete the database and recreate it in order to work again. Any help here? (´。＿。｀)",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2081/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1733198948,I_kwDOCGYnMM5nToRk,555,Filter table by a large bunch of ids,10843208,redraw,open,0,,,,,1,2023-05-31T00:29:51Z,2023-06-14T22:01:57Z,,NONE,,"Hi! this might be a question related to both SQLite & sqlite-utils, and you might be more experienced with them. I have a large bunch of ids, and I'm wondering which is the best way to query them in terms of performance, and simplicity if possible. The naive approach would be something like `select * from table where rowid in (?, ?, ?...)` but that wouldn't scale if ids are >1k. Another approach might be creating a temp table, or in-memory db table, insert all ids in that table and then join with the target one. I failed to attach an in-memory db both using sqlite-utils, and plain sql's execute(), so my closest approach is something like, ```python def filter_existing_video_ids(video_ids): db = get_db() # contains a ""videos"" table db.execute(""CREATE TEMPORARY TABLE IF NOT EXISTS tmp (video_id TEXT NOT NULL PRIMARY KEY)"") db[""tmp""].insert_all([{""video_id"": video_id} for video_id in video_ids]) for row in db[""tmp""].rows_where(""video_id not in (select video_id from videos)""): yield row[""video_id""] db[""tmp""].drop() ``` That kinda worked, I couldn't find an option in sqlite-utils's `create_table()` to tell it's a temporary table. Also, `tmp` table is not dropped finally, neither using `.drop()` despite being created with the keyword `TEMPORARY`. I believe it should be automatically dropped after connection/session ends though I read.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/555/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1751214236,I_kwDOC8SPRc5oYWic,36,Getting sqlite_master may not be modified when creating dogsheep index,8711912,khushmeeet,open,0,,,,,0,2023-06-11T03:21:53Z,2023-06-11T03:21:53Z,,NONE,,"When creating a `dogsheep` index from `config.yml` file on pocket.db (created using pocket-to-sqlite), I am getting this error ``` Traceback (most recent call last): File ""/Users/khushmeeet/.pyenv/versions/3.11.2/bin/dogsheep-beta"", line 8, in sys.exit(cli()) ^^^^^ File ""/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/click/core.py"", line 1130, in __call__ return self.main(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/click/core.py"", line 1055, in main rv = self.invoke(ctx) ^^^^^^^^^^^^^^^^ File ""/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/click/core.py"", line 1657, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/click/core.py"", line 1404, in invoke return ctx.invoke(self.callback, **ctx.params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/click/core.py"", line 760, in invoke return __callback(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/dogsheep_beta/cli.py"", line 36, in index run_indexer( File ""/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/dogsheep_beta/utils.py"", line 32, in run_indexer ensure_table_and_indexes(db, tokenize) File ""/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/dogsheep_beta/utils.py"", line 91, in ensure_table_and_indexes table.add_foreign_key(*fk) File ""/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/sqlite_utils/db.py"", line 2155, in add_foreign_key self.db.add_foreign_keys([(self.name, column, other_table, other_column)]) File ""/Users/khushmeeet/.pyenv/versions/3.11.2/lib/python3.11/site-packages/sqlite_utils/db.py"", line 1116, in add_foreign_keys cursor.execute( sqlite3.OperationalError: table sqlite_master may not be modified ``` Command I ran to get this error ``` dogsheep-beta index pocket.db config.yml ``` Dogsheep version ``` dogsheep-beta, version 0.10.2 ``` Python version ``` Python 3.11.2 ```",197431109,dogsheep-beta,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/dogsheep-beta/issues/36/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1754174496,I_kwDOCGYnMM5ojpQg,558,Ability to define unique columns when creating a table,1910303,aguinane,open,0,,,,,0,2023-06-13T06:56:19Z,2023-08-18T01:06:03Z,,NONE,,"When creating a new table, it would be good to have an option to set unique columns similar to how not_null is set. ```python from sqlite_utils import Database columns = {""mRID"": str, ""name"": str} db = Database(""example.db"") db[""ExampleTable""].create(columns, pk=""mRID"", not_null=[""mRID""], if_not_exists=True) db[""ExampleTable""].create_index([""mRID""], unique=True, if_not_exists=True) ``` So something like this would add the UNIQUE flag to the table definition. ```python db[""ExampleTable""].create(columns, pk=""mRID"", not_null=[""mRID""], unique=[""mRID""], if_not_exists=True) ``` ```sql CREATE TABLE ExampleTable ( mRID TEXT PRIMARY KEY NOT NULL UNIQUE, name TEXT ); ```",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/558/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1761613778,I_kwDOBm6k_c5pABfS,2084,Support facets for columns that contain timestamps,19492893,devxpy,open,0,,,,,0,2023-06-17T03:33:54Z,2023-06-17T03:33:54Z,,NONE,," Django has this very nice filter for datetime fields - It would be nice to have something similar to facet by a field that contains a timestamp in datasette too - Which doesn't seem to do anything with timestamps right now... ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2084/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1762180409,I_kwDOBm6k_c5pCL05,2085,Interactive row selection in Datasette ,24938923,learning4life,open,0,,,,,0,2023-06-18T08:29:45Z,2023-06-18T08:31:23Z,,NONE,,"Simon did a excellent [prototype](https://til.simonwillison.net/datasette/row-selection-prototype) of an interactive row selection in Datasette. I hope this [functionality](https://camo.githubusercontent.com/3d4a0f31fb6a27fd279f809af5b53dc3b76faa63c7721e228951c5252b645a77/68747470733a2f2f7374617469632e73696d6f6e77696c6c69736f6e2e6e65742f7374617469632f323032332f6461746173657474652d7069636b65722e676966) can be turned into a Datasette plugin. ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2085/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1794097871,I_kwDOBm6k_c5q78LP,2095,"Introduce ""dark mode"" CSS",3315059,jamietanna,open,0,,,,,0,2023-07-07T19:15:58Z,2023-07-07T19:15:58Z,,NONE,,Using [the CSS media query `prefers-color-scheme`](https://developer.mozilla.org/en-US/docs/Web/CSS/@media/prefers-color-scheme) we can provide a dark-mode version of Datasette,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2095/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1795219865,I_kwDOCGYnMM5rAOGZ,566,`--no-headers` doesn't work on most formats,33625,zellyn,open,0,,,,,2,2023-07-09T03:43:36Z,2023-07-09T04:13:35Z,,NONE,,"Version 3.33 ``` sqlite-utils query library.db 'select asin from audible' --fmt plain --no-headers | head -3 asin 0062804006 0062891421 ```",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/566/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1811824307,I_kwDOBm6k_c5r_j6z,2105,When reverse proxying datasette with nginx an URL element gets erronously added,2235371,aki-k,open,0,,,,,3,2023-07-19T12:16:53Z,2023-07-21T21:17:09Z,,NONE,,"I use this nginx config: ``` location /datasette-llm { return 302 /datasette-llm/; } location /datasette-llm/ { proxy_set_header Upgrade $http_upgrade; proxy_set_header Connection ""Upgrade""; proxy_http_version 1.1; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header X-Forwarded-Proto https; proxy_set_header X-Forwarded-Host $http_host; proxy_set_header Host $host; proxy_max_temp_file_size 0; proxy_pass http://127.0.0.1:8001/datasette-llm/; proxy_redirect http:// https://; proxy_buffering off; proxy_request_buffering off; proxy_set_header Origin ''; client_max_body_size 0; auth_basic ""datasette-llm""; auth_basic_user_file /etc/nginx/custom-userdb; } ``` Then I start datasette with this command: ``` datasette serve --setting base_url /datasette-llm/ $(llm logs path) ``` Everything else works right, except the links in ""This data as json, CSV"". They get an extra URL element ""datasette-llm"" like this: https://192.168.1.3:5432/datasette-llm/datasette-llm/logs.json?sql=select+*+from+_llm_migrations https://192.168.1.3:5432/datasette-llm/datasette-llm/logs.csv?sql=select+*+from+_llm_migrations&_size=max When I remove that extra ""datasette-llm"" from the URL, those links work too.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2105/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1816830546,I_kwDODEm0Qs5sSqJS,73,Twitter v1 API shutdown,6341745,david-perez,open,0,,,,,0,2023-07-22T16:57:41Z,2023-07-22T16:57:41Z,,NONE,,"I've been using this project reliably over the past two years to periodically download my liked tweets, but unfortunately since 19th July I get: ``` [2023-07-19 21:00:04.937536] File ""/home/pi/code/liked-tweets/lib/python3.7/site-packages/twitter_to_sqlite/utils.py"", line 202, in fetch_timeline [2023-07-19 21:00:04.937606] raise Exception(str(tweets[""errors""])) [2023-07-19 21:00:04.937678] Exception: [{'message': 'You currently have access to a subset of Twitter API v2 endpoints and limited v1.1 endpoints (e.g. media post, oauth) only. If you need access to this endpoint, you may need a different access level. You can learn more here: https://developer.twitter.com/en/portal/product', 'code': 453}] ``` It appears like Twitter has now shut down their v1 endpoints, which is rather gracious of them, considering they [announced they'd be deprecated on 29th April](https://twittercommunity.com/t/reminder-to-migrate-to-the-new-free-basic-or-enterprise-plans-of-the-twitter-api/189737). Unfortunately [retrieving likes using the v2 API](https://developer.twitter.com/en/docs/twitter-api/tweets/likes/introduction) is not part of their [free plan](https://developer.twitter.com/en/portal/products). In fact, with the free plan one can only post and delete tweets and retrieve information about oneself. So I'm afraid this is the end of this very nice project. It was very useful, thank you! ",206156866,twitter-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/73/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 1}",, 1822918995,I_kwDOCGYnMM5sp4lT,580,Add way to export to a csv file using the Python library,44324811,kevinlinxc,open,0,,,,,0,2023-07-26T18:09:26Z,2023-07-26T18:09:26Z,,NONE,,"According to the documentation, we can make a csv output using the CLI tool, but not the Python library. Could we have the latter?",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/580/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1824457306,I_kwDOBm6k_c5svwJa,2122,Parameters on canned queries: fixed or query-generated list?,1563881,meowcat,open,0,,,,,0,2023-07-27T14:07:07Z,2023-07-27T14:07:07Z,,NONE,,"Hi, currently parameters in canned queries are just text fields. It would be cool to have one of the options below. Would you accept a PR doing something in this direction? (Possibly this could even work as a plugin.) * adding facets, which would work like facets on tables or views, giving a list of selectable options (and leaving parameters as is) * making it possible to provide a query which returns selectable values for a parameter, e.g. ``` calendar_entries_current_instrument: sql: | select * from calendar_entries where DTEND_UNIX > UNIXEPOCH() and DTSTART_UNIX < UNIXEPOCH() + :days *24*60*60 and current = 1 and MACHINE = :instrument order by DTSTART_UNIX params: days: sql: ""SELECT VALUE FROM generate_series(1, 30, 1)"" # this obviously requires the corresponding sqlite extension instrument: sql: ""SELECT DISTINCT MACHINE FROM calendar_entries"" ``` * making it possible to provide a fixed list of parameters ``` calendar_entries_current_instrument: sql: | select * from calendar_entries where DTEND_UNIX > UNIXEPOCH() and DTSTART_UNIX < UNIXEPOCH() + :days *24*60*60 and current = 1 and MACHINE = :instrument order by DTSTART_UNIX params: days: values: [1, 2, 3, 5, 10, 20, 30] instrument: values: [supermachine, crappymachine, boringmachine] ```",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2122/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1825007061,I_kwDOBm6k_c5sx2XV,2123,datasette serve when invoked with --reload interprets the serve command as a file,79087,cadeef,open,0,,,,,2,2023-07-27T19:07:22Z,2023-09-18T13:02:46Z,,NONE,,"When running `datasette serve` with the `--reload` flag, the serve command is picked up as a file argument: ``` $ datasette serve --reload test_db Starting monitor for PID 13574. Error: Invalid value for '[FILES]...': Path 'serve' does not exist. Press ENTER or change a file to reload. ``` If a 'serve' file is created it launches properly (albeit with an empty database called serve): ``` $ touch serve; datasette serve --reload test_db Starting monitor for PID 13628. INFO: Started server process [13628] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on http://127.0.0.1:8001 (Press CTRL+C to quit) ``` Version (running from HEAD on main): ``` $ datasette --version datasette, version 1.0a2 ``` This issue appears to have existed for awhile as https://github.com/simonw/datasette/issues/1380#issuecomment-953366110 mentions the error in a different context. I'm happy to debug and land a patch if it's welcome.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2123/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1839344979,I_kwDOCGYnMM5toi1T,582,Handling CSV/file input that contains NUL bytes,1448859,betatim,open,0,,,,,0,2023-08-07T12:24:14Z,2023-08-07T12:24:14Z,,NONE,,"I was using sqlite-utils to create a DB from a CSV and it turns out the CSV contains a NUL byte. When the processing reaches the line that contains the NUL an exception is raised. I'm wondering if there is something that can be done in `sqlite-utils` to say ""skip lines with encoding errors"" or some such. I think it isn't super straightforward though as the exception comes from inside the `csv` module that does all the parsing. Concretely the file is the `KernelVersions.csv` from https://www.kaggle.com/datasets/kaggle/meta-kaggle This is the command and output: ``` $ sqlite-utils insert --csv kaggle.db kaggle KernelVersions.csv [------------------------------------] 0% [#####################---------------] 60% 00:04:24Traceback (most recent call last): File ""/home/foobar/miniconda/envs/meta-kaggle/bin/sqlite-utils"", line 10, in sys.exit(cli()) File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/click/core.py"", line 1128, in __call__ return self.main(*args, **kwargs) File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/click/core.py"", line 1053, in main rv = self.invoke(ctx) File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/click/core.py"", line 1659, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/click/core.py"", line 1395, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/click/core.py"", line 754, in invoke return __callback(*args, **kwargs) File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/cli.py"", line 1223, in insert insert_upsert_implementation( File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/cli.py"", line 1085, in insert_upsert_implementation db[table].insert_all( File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/db.py"", line 3198, in insert_all chunk = list(chunk) File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/db.py"", line 3742, in fix_square_braces for record in records: File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/cli.py"", line 1071, in docs = (decode_base64_values(doc) for doc in docs) File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/cli.py"", line 1068, in docs = (verify_is_dict(doc) for doc in docs) File ""/home/foobar/miniconda/envs/meta-kaggle/lib/python3.10/site-packages/sqlite_utils/cli.py"", line 1003, in docs = (dict(zip(headers, row)) for row in reader) _csv.Error: line contains NUL ```",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/582/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1858228057,I_kwDOBm6k_c5uwk9Z,2147,Plugin hook for database queries that are run,18899,jackowayed,open,0,,,,,6,2023-08-20T18:43:50Z,2023-08-24T03:54:35Z,,NONE,,"I'm interested in making a plugin that saves every query that gets run to a table in the database. (I know about datasette-query-history but thought it would be good to have a server-side option.) As far as I can tell reading the docs, there isn't really a hook setup to allow this. Maybe I could hack it with some of the hooks that are passed requests, but that doesn't seem good. I'm a little surprised this isn't possible, so I thought I would open an issue and see if that's a deeply considered decision or just ""haven't needed it yet."" I'm potentially interested in implementing the hook if the latter.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2147/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1899310542,I_kwDOBm6k_c5xNS3O,2187,Datasette for serving JSON only,19705106,geofinder,open,0,,,,,0,2023-09-16T05:48:29Z,2023-09-16T05:48:29Z,,NONE,,"Hi, is there any way to use datasette for serving json only without displaying webpage? I've tried to search about this in documentation but didn't get any information",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2187/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1920416843,I_kwDOCGYnMM5ydzxL,597,sqlite-utils insert-files should be able to convert fields,1737541,grimnight,open,0,,,,,0,2023-09-30T22:20:47Z,2023-09-30T22:20:47Z,,NONE,,"Currently using both `insert-files` and `convert` is needed in order to create sqlar files, it would be more convenient if it could be done with just one command. ```shell ~ ❯ cat test.py import os class Example: def __init__(self, arg1, arg2): self.arg1 = arg1 ~ ❯ sqlite-utils insert-files test.sqlar sqlar test.py -c name:name -c data:content -c mode:mode -c mtime:mtime -c sz:size --pk=name [####################################] 100% ~ ❯ sqlite-utils convert test.sqlar sqlar data ""zlib.compress(value)"" --import=zlib --where ""name = 'test.py'"" [####################################] 100% ~ ❯ cat test.py | sqlite-utils convert test.sqlar sqlar data ""zlib.compress(sys.stdin.buffer.read())"" --import=zlib --import=sys --where ""name = 'test.py'"" # Alternative way [####################################] 100% ~ ❯ sqlite3 test.sqlar ""SELECT hex(data) FROM sqlar WHERE name = 'test.py';"" | python3 -c ""import sys, zlib; sys.stdout.buffer.write(zlib.decompress(bytes.fromhex(sys.stdin.read())))"" import os class Example: def __init__(self, arg1, arg2): self.arg1 = arg1 ~ ❯ rm test.py ~ ❯ sqlar -l test.sqlar test.py ~ ❯ sqlar -x test.sqlar ~ ❯ cat test.py import os class Example: def __init__(self, arg1, arg2): self.arg1 = arg1 ```",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/597/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1931794126,I_kwDOBm6k_c5zJNbO,2198,--load-extension=spatialite not working with Windows,363004,hcarter333,open,0,,,,,0,2023-10-08T12:50:22Z,2023-10-08T12:50:22Z,,NONE,,"Using each of `python -m datasette counties.db -m metadata.yml --load-extension=SpatiaLite` and `python -m datasette counties.db --load-extension=""C:\Windows\System32\mod_spatialite.dll""` and `python -m datasette counties.db --load-extension=C:\Windows\System32\mod_spatialite.dll` I got the error: ``` File ""C:\Users\m3n7es\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\datasette\database.py"", line 209, in in_thread self.ds._prepare_connection(conn, self.name) File ""C:\Users\m3n7es\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\datasette\app.py"", line 596, in _prepare_connection conn.execute(""SELECT load_extension(?, ?)"", [path, entrypoint]) sqlite3.OperationalError: The specified module could not be found. ``` I finally tried modifying the code in app.py to read: ``` def _prepare_connection(self, conn, database): conn.row_factory = sqlite3.Row conn.text_factory = lambda x: str(x, ""utf-8"", ""replace"") if self.sqlite_extensions: conn.enable_load_extension(True) for extension in self.sqlite_extensions: # ""extension"" is either a string path to the extension # or a 2-item tuple that specifies which entrypoint to load. #if isinstance(extension, tuple): # path, entrypoint = extension # conn.execute(""SELECT load_extension(?, ?)"", [path, entrypoint]) #else: conn.execute(""SELECT load_extension('C:\Windows\System32\mod_spatialite.dll')"") ``` At which point the counties example worked. Is there a correct way to install/use the extension on Windows? My method will cause issues if there's a second extension to be used. On an unrelated note, my next step is to figure out how to write a query across the two loaded databases supplied from the command line: `python -m datasette rm_toucans_23_10_07.db counties.db -m metadata.yml --load-extension=SpatiaLite` ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2198/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1943259395,I_kwDOEhK-wc5z08kD,16, time data '2014-11-21T11:44:12.000Z' does not match format '%Y%m%dT%H%M%SZ',3746270,linonetwo,open,0,,,,,0,2023-10-14T13:24:39Z,2023-10-14T13:24:39Z,,NONE,," ``` evernote-to-sqlite enex evernote.db ./我的笔记.enex Importing from ENEX [#####-------------------------------] 14% Traceback (most recent call last): File ""/usr/local/bin/evernote-to-sqlite"", line 8, in sys.exit(cli()) ^^^^^ File ""/usr/local/lib/python3.11/site-packages/click/core.py"", line 1157, in __call__ return self.main(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/usr/local/lib/python3.11/site-packages/click/core.py"", line 1078, in main rv = self.invoke(ctx) ^^^^^^^^^^^^^^^^ File ""/usr/local/lib/python3.11/site-packages/click/core.py"", line 1688, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/usr/local/lib/python3.11/site-packages/click/core.py"", line 1434, in invoke return ctx.invoke(self.callback, **ctx.params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/usr/local/lib/python3.11/site-packages/click/core.py"", line 783, in invoke return __callback(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/usr/local/lib/python3.11/site-packages/evernote_to_sqlite/cli.py"", line 31, in enex save_note(db, note) File ""/usr/local/lib/python3.11/site-packages/evernote_to_sqlite/utils.py"", line 46, in save_note ""created"": convert_datetime(created), ^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/usr/local/lib/python3.11/site-packages/evernote_to_sqlite/utils.py"", line 111, in convert_datetime return datetime.datetime.strptime(s, ""%Y%m%dT%H%M%SZ"").isoformat() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/lib/python3.11/_strptime.py"", line 568, in _strptime_datetime tt, fraction, gmtoff_fraction = _strptime(data_string, format) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File ""/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/lib/python3.11/_strptime.py"", line 349, in _strptime raise ValueError(""time data %r does not match format %r"" % ValueError: time data '2014-11-21T11:44:12.000Z' does not match format '%Y%m%dT%H%M%SZ' ``` enex is exported by evernote mac client ",303218369,evernote-to-sqlite,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/16/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1955676270,I_kwDOBm6k_c50kUBu,2201,Discord invite link is invalid,11708906,andrewsanchez,open,0,,,,,0,2023-10-21T21:50:05Z,2023-10-21T21:50:05Z,,NONE,,"https://datasette.io/discord leads to https://discord.com/invite/ktd74dm5mw and returns the following: ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2201/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1977726056,I_kwDOBm6k_c514bRo,2203,custom plugin not seen as sql function,7113541,LyzardKing,open,0,,,,,0,2023-11-05T10:30:19Z,2023-11-05T10:30:19Z,,NONE,,"Hi, I'm not sure if this is the right repo for this issue. I'm using datasette with the parquet (to read a duckdb), and jellyfish plugins. Both work perfectly. Now I need to create a simple plugin that uses the python rouge package and returns a similarity score (similarly to how the jellyfish plugin works). If I create a custom plugin, even the example hello_world one, copied directly from the tutorial, I get the following error: ```duckdb.duckdb.CatalogException: Catalog Error: Scalar Function with name hello_world does not exist!``` Since the jellyfish plugin doesn't do anything more complex, I'm wondering if there is some other kind of issue with my setup.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2203/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1978603203,I_kwDOCGYnMM517xbD,602,`sqlite-utils transform` removes the `AUTOINCREMENT` keyword,4472046,ArsTapatun,open,0,,,,,0,2023-11-06T08:48:43Z,2023-11-06T08:48:43Z,,NONE,,"### Context We ran into this bug randomly, noticing that deleted `ROWID` would get reused after migrating the DB. Using `transform` to change any column in the table will also unexpectedly strip away the `AUTOINCREMENT` keyword from the primary key definition, even if it was not the transformation target. ### Reproducible example **Original database** ```sql $ sqlite3 test.db << EOF CREATE TABLE mytable ( col1 INTEGER PRIMARY KEY AUTOINCREMENT, col2 TEXT NOT NULL ) EOF $ sqlite3 test.db "".schema mytable"" CREATE TABLE mytable ( col1 INTEGER PRIMARY KEY AUTOINCREMENT, col2 TEXT NOT NULL ); ``` **Modified database after sqlite-utils** ```sql $ sqlite-utils transform test.db mytable --rename col2 renamedcol2 $ sqlite3 test.db ""SELECT sql FROM sqlite_master WHERE name = 'mytable';"" CREATE TABLE IF NOT EXISTS ""mytable"" ( [col1] INTEGER PRIMARY KEY, [renamedcol2] TEXT NOT NULL ); ```",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/602/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1988525411,I_kwDOCGYnMM52hn1j,603,Pyhton 3.12 Bug report,1324252,constantinedev,open,0,,,,,1,2023-11-10T22:57:48Z,2023-12-08T05:10:31Z,,NONE,,"I start with new python3 verison 3.12.0 Also have the error where connect DataBase ``` Traceback (most recent call last): File ""/home/t/Development/python/FKPJ/ClinicSYS/run.py"", line 1, in import re, os, io, json, sqlite_utils, requests, pytz, logging File ""/home/t/.local/lib/python3.12/site-packages/sqlite_utils/__init__.py"", line 1, in from .db import Database File ""/home/t/.local/lib/python3.12/site-packages/sqlite_utils/db.py"", line 277, in class Database: File ""/home/t/.local/lib/python3.12/site-packages/sqlite_utils/db.py"", line 306, in Database filename_or_conn: Optional[Union[str, pathlib.Path, sqlite3.Connection]] = None, ^^^^^^^^^^^^^^^^^^ ``` This bug come from `sqlite-utils` since's v3.33. Anyone get the same ? As well now of the resolved plan just keep the sqlite-utils version in python3.12 with v3.32.1 [tested] but where are the sqlite3.Connection problem.... This won't happen on python version down to 3.11[tested] Just the python3.12.0, I have test this error are come from the sqlite3 connection The error say from `sqlite_utils` and with the sqlite3 Connection, what can I do. Let fix together.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/603/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1994845152,I_kwDOBm6k_c525uvg,2207,ModuleNotFoundError: No module named 'click_default_group,283441,honzajavorek,open,0,,,,,0,2023-11-15T14:04:32Z,2023-11-15T14:04:32Z,,NONE,,"No matter what I do, I'm getting this error: ``` $ datasette Traceback (most recent call last): File ""/Users/honza/Library/Caches/pypoetry/virtualenvs/juniorguru-Lgaxwd2n-py3.11/bin/datasette"", line 5, in from datasette.cli import cli File ""/Users/honza/Library/Caches/pypoetry/virtualenvs/juniorguru-Lgaxwd2n-py3.11/lib/python3.11/site-packages/datasette/cli.py"", line 6, in from click_default_group import DefaultGroup ModuleNotFoundError: No module named 'click_default_group' ``` I have datasette in my dependencies like this: ```toml [tool.poetry.group.dev.dependencies] datasette = {version = ""1.0a7"", allow-prereleases = true} ``` I had the latest regular version (not pre-release) there originally, but the result was the same: ```toml [tool.poetry.group.dev.dependencies] datasette = ""0.64.5"" ``` Full pyproject.toml is at https://github.com/honzajavorek/junior.guru/ Previously datasette worked for me, but I guess something had to upgrade and now I can't even launch it.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2207/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 2019811176,I_kwDOBm6k_c54Y99o,2211,Unreachable exception handlers for `sqlite3.OperationalError`,1214074,mattparmett,open,0,,,,,0,2023-12-01T00:50:22Z,2023-12-01T00:50:22Z,,NONE,,"There are several places where `sqlite3.OperationalError` is caught as part of an exception handler which catches multiple exceptions, but is then caught again immediately afterwards by a dedicated exception handler. Because the exception will be caught by the first handler, the logic in the second handler is unreachable and will never be executed. If this is intended behavior, the second handler can be removed. If this is not intended, and the second handler should be the one that catches this exception, then `sqlite3.OperationalError` should be removed from the tuple of exceptions in the first handler. This issue was found via a CodeQL query on the repository, and I've listed the occurrences found by the query below. There may be other instances of this issue in the code that were not surfaced by the query. I'd be happy to share the query if others would like to view or run it. One example: https://github.com/simonw/datasette/blob/452a587e236ef642cbc6ae345b58767ea8420cb5/datasette/views/database.py#L534-L537 Other instances: https://github.com/simonw/datasette/blob/main/datasette/views/base.py#L266-L270 https://github.com/simonw/datasette/blob/main/datasette/views/base.py#L452-L456",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2211/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 2023057255,I_kwDOBm6k_c54lWdn,2212,Can't filter with numbers,605070,fzakaria,open,0,,,,,0,2023-12-04T05:26:29Z,2023-12-04T05:26:29Z,,NONE,,"I have a schema that uses numbers for a column (actually it's a boolean 1 or 0 but SQLite doesn't have Boolean). I can't seem to get the facet to work or even filtering on this column. My guess is that Datasette is ""stringifying"" the number and it's not matching? Example: https://debian-sqlelf.fly.dev/debian/elf_symbols?_sort_desc=name&_facet=exported&exported=0",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2212/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 2029908157,I_kwDOBm6k_c54_fC9,2214,CSV export fails for some `text` foreign key references,2874,precipice,open,0,,,,,1,2023-12-07T05:04:34Z,2023-12-07T07:36:34Z,,NONE,,"I'm starting this issue without a clear reproduction in case someone else has seen this behavior, and to use the issue as a notebook for research. I'm using Datasette with the [SWITRS](https://iswitrs.chp.ca.gov/) data set, which is a California Highway Patrol collection of traffic incident data from the past decade or so. I receive data from them in CSV and want to work with it in Datasette, then export it to CSV for mapping in Felt.com. Their data makes extensive use of codes for incident column data (`1` for `Monday` and so on), some of it integer codes and some of it letter/text codes. The text codes are sometimes blank or `-`. During import, I'm creating lookup tables for foreign key references to make the Datasette UI presentation of the data easier to read. If I import the data and set up the integer foreign keys, everything works fine, but if I set up the text foreign keys, CSV export starts to fail. The foreign key configuration is as follows: ``` # Some tables use integer ids, like sensible tables do. Let's import them first # since we favor them. for TABLE in DAY_OF_WEEK CHP_SHIFT POPULATION SPECIAL_COND BEAT_TYPE COLLISION_SEVERITY do sqlite-utils create-table records.db $TABLE id integer name text --pk=id sqlite-utils insert records.db $TABLE lookup-tables/$TABLE.csv --csv sqlite-utils add-foreign-key records.db collisions $TABLE $TABLE id sqlite-utils create-index records.db collisions $TABLE done # *Other* tables use letter keys, like they were raised by WOLVES. Let's put them # at the end of the import queue. for TABLE in WEATHER_1 WEATHER_2 LOCATION_TYPE RAMP_INTERSECTION SIDE_OF_HWY \ PRIMARY_COLL_FACTOR PCF_CODE_OF_VIOL PCF_VIOL_CATEGORY TYPE_OF_COLLISION MVIW \ PED_ACTION ROAD_SURFACE ROAD_COND_1 ROAD_COND_2 LIGHTING CONTROL_DEVICE \ STWD_VEHTYPE_AT_FAULT CHP_VEHTYPE_AT_FAULT PRIMARY_RAMP SECONDARY_RAMP do sqlite-utils create-table records.db $TABLE key text name text --pk=key sqlite-utils insert records.db $TABLE lookup-tables/$TABLE.csv --csv sqlite-utils add-foreign-key records.db collisions $TABLE $TABLE key sqlite-utils create-index records.db collisions $TABLE done ``` You can see the full code and import script here: https://github.com/radical-bike-lobby/switrs-db If I run this code and then hit the CSV export link in the Datasette interface (the simple link or the ""advanced"" dialog), export fails after a small number of CSV rows are written. I am not seeing any detailed error messages but this appears in the logging output: ``` INFO: 127.0.0.1:57885 - ""GET /records/collisions.csv?_facet=PRIMARY_RD&PRIMARY_RD=ASHBY+AV&_labels=on&_size=max HTTP/1.1"" 200 OK Caught this error: ``` (No other output follows `error:` other than a blank line.) I've stared at the rows directly after the error occurs and can't yet see what is causing the problem. I'm going to set up a development environment and see if I get any more detailed error output, and then stare more at some problematic lines to see if I can get a simple reproduction.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2214/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 267515678,MDU6SXNzdWUyNjc1MTU2Nzg=,3,"Make individual column valuables addressable, with smart content types",9599,simonw,open,0,,,,,1,2017-10-23T01:11:32Z,2017-12-10T03:11:58Z,,OWNER,,"Some SQLite databases embed images in columns. It would be cool if these had URLs. /database-name-7sha256/table-name/compound-pk/column /database-name-7sha256/table-name/compound-pk/column.json /database-name-7sha256/table-name/compound-pk/column.png /database-name-7sha256/table-name/compound-pk/column.gif /database-name-7sha256/table-name/compound-pk/column.txt The one without an explicit file extension auto-detects the correct extension.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/3/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 268110769,MDU6SXNzdWUyNjgxMTA3Njk=,33,Use locust for benchmarking and load tests,9599,simonw,open,0,,,,,0,2017-10-24T17:00:09Z,2017-12-10T03:12:16Z,,OWNER,,"https://github.com/locustio/locust Needed for #32 ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/33/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 274615452,MDU6SXNzdWUyNzQ2MTU0NTI=,111,Add “updated” to metadata,9599,simonw,open,0,,,,,12,2017-11-16T18:22:20Z,2021-09-21T22:48:27Z,,OWNER,,"To give an indication as to when the data was last updated. This should be a field in the metadata that is then shown on the index page and in the footer, if it is set. Also support setting it using an option to “datasette publish” and “datasette package” - which can either be a string or can be the magic string “today” to set it to today’s date: datasette publish file.db --updated=today",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/111/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 275125561,MDU6SXNzdWUyNzUxMjU1NjE=,123,Datasette serve should accept paths/URLs to CSVs and other file formats,9599,simonw,open,0,,,,,9,2017-11-19T02:05:48Z,2021-07-19T00:04:32Z,,OWNER,,"This would remove the csvs-to-sqlite step which I end up using for almost everything. I'm hesitant to introduce pandas as a required dependency though since it require compiling numpy. Could build it so this option is only available if you have pandas installed.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/123/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",, 275159710,MDU6SXNzdWUyNzUxNTk3MTA=,128,"Every visualization should have an ""embed"" button",9599,simonw,open,0,,,,,0,2017-11-19T13:38:13Z,2019-05-13T18:33:51Z,,OWNER,,"At least for the first round of visualizations, any time you construct one using the UI the result should include an ""embed this"" button that returns source code to copy and paste These examples should use unpkg.com (or similarl) urls with SRI hashes, eg https://www.srihash.org - and should load data from the datasette JSON API.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/128/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 275415799,MDU6SXNzdWUyNzU0MTU3OTk=,137,Ability to combine multiple SQL queries on a single graph,9599,simonw,open,0,,,,,1,2017-11-20T16:26:57Z,2019-05-13T18:33:51Z,,OWNER,,This would make visualizations significantly more powerful. The interesting challenge will be around the URL design. It would be useful to be able to combine either multiple explicit SQL queries or multiple queries based on the filter string parameters passed to one or more table views.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/137/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 275755475,MDU6SXNzdWUyNzU3NTU0NzU=,140,Heatmap visualization plugin,9599,simonw,open,0,,,,,2,2017-11-21T15:34:23Z,2019-05-13T18:33:51Z,,OWNER,,Could use https://github.com/scottbedard/svelte-heatmap,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/140/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 288438570,MDU6SXNzdWUyODg0Mzg1NzA=,179,More metadata options for template authors ,9599,simonw,open,0,,,,,2,2018-01-14T20:51:04Z,2019-05-13T18:33:33Z,,OWNER,,See this thread on Twitter: https://twitter.com/simonw/status/952637152797458432,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/179/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 309047460,MDU6SXNzdWUzMDkwNDc0NjA=,188,Ability to bundle metadata and templates inside the SQLite file,9599,simonw,open,0,,,,,4,2018-03-27T16:42:07Z,2020-12-04T17:18:34Z,,OWNER,,"One of the nicest qualities of SQLite as a data format is that you get a single file which you can then backup or share with other people. Datasette breaks this a little once you start including custom metadata.json or template files and CSS. It would be cool if there was an optional mechanism for baking that extra configuration into the SQLite file itself. That way entire datasette mini-applications (including canned queries and custom HTML and CSS) could be constructed as single .db files. Since datasette configuration is all file-based, one way to achieve that would be to support a ""datasette_files"" table which, if present is used to search for file contents by path. This is inline with the philosophy described by https://www.sqlite.org/appfileformat.html ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/188/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 312395790,MDU6SXNzdWUzMTIzOTU3OTA=,197,Ability to sort by more than one column,9599,simonw,open,0,,,,,0,2018-04-09T05:13:30Z,2018-07-10T17:45:37Z,,OWNER,,"Split off from #189. I'd like to support ""sort by X descending, then by Y ascending if there are dupes for X"" as well. Suggested syntax for that: ?_sort_desc=X&_sort=Y we currently only allow one argument to be sent. We should allow as many arguments as there are columns, for example: ?_sort=department&_sort_desc=precinct&_sort=age&_sort_desc=size",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/197/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 312396095,MDU6SXNzdWUzMTIzOTYwOTU=,198,Ability to sort with nulls last,9599,simonw,open,0,,,,,0,2018-04-09T05:15:40Z,2018-07-10T17:45:37Z,,OWNER,,"Split off from #189 Here's how to do that in SQL: https://fivethirtyeight.datasettes.com/fivethirtyeight-2628db9?sql=select+rowid%2C+*+from+%5Bnfl-wide-receivers%2Fadvanced-historical%5D%0D%0Aorder+by+case+when+career_ranypa+is+null+then+1+else+0+end%2C+career_ranypa%2C+rowid order by case when career_ranypa is null then 1 else 0 end, career_ranypa",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/198/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 314771615,MDU6SXNzdWUzMTQ3NzE2MTU=,218,"Support custom unit display in order to handle ""$10,000""",9599,simonw,open,0,,,,,0,2018-04-16T18:39:31Z,2018-07-10T17:45:38Z,,OWNER,,"I tried to get Datasette to display `$10,000` using the new units support but we currently only display units as a suffix: https://github.com/simonw/datasette/blob/10a34f995c70daa37a8a2aa02c3135a4b023a24c/datasette/app.py#L563-L572 It would be neat if there was a mechanism for specifying a custom unit display - maybe something like this: ``` { ""custom_units"": { ""us_dollar"": { ""unit"": ""us_dollar = [] = $"", ""format"": ""${:,}"" } } } ```",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/218/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 316621102,MDU6SXNzdWUzMTY2MjExMDI=,235,Add limit on the size in KB of data returned from a single query,9599,simonw,open,0,,,,,2,2018-04-22T23:01:15Z,2018-04-24T00:30:02Z,,OWNER,,"Datasette limits the number of rows returned to 1,000 and limits the time spent executing a SQL query to 1000ms - and both of these limits can be customized. It does not have a limit on the size of the response returned. It's possible to compose maliciously large SQL responses in a small number of rows using mechanisms like the `group_concat()` aggregate function. It would be good to avoid malicious SQL creating 100MB+ responses and potentially crashing the server. I think the easiest place to implement that is here: https://github.com/simonw/datasette/blob/f3f42957128c1e7ece584d45d9167f2ac003a3b8/datasette/app.py#L175-L190 Currently we use `cursor.fetchmany()` to fetch up to 1,001 rows at once. Instead, we could switch to iterating through `cursor.fetchone()` (or just using `for row in cursor`) and keeping a running tally of the size of the response as we go - maybe just using `rough_response_size += len(str(row))`. If that goes above a certain threshold we can terminate the response with an error, like we do with timelimits. The bigger challenge here is understanding how well this approach works and what impact it will have on overall Datasette performance. I think I need #33 for this.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/235/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 317001500,MDU6SXNzdWUzMTcwMDE1MDA=,236,datasette publish lambda plugin,9599,simonw,open,0,,,,,11,2018-04-23T22:10:30Z,2023-03-12T14:04:15Z,,OWNER,,"Refs #217 - create a publish plugin that can deploy to AWS Lambda. https://docs.aws.amazon.com/lambda/latest/dg/limits.html says lambda packages can be up to 50 MB, so this would only work with smaller databases (the command can check the filesize before attempting to package and deploy it). Lambdas do get a 512 MB `/tmp` directory too, so for larger databases the function could start and then download up to 512MB from an S3 bucket - so the plugin could take an optional S3 bucket to write to and know how to upload the `.db` file there and then have the lambda download it on startup.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/236/reactions"", ""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 318490133,MDU6SXNzdWUzMTg0OTAxMzM=,241,Default datasette logging format should be JSON,9599,simonw,open,0,,,,,0,2018-04-27T17:32:48Z,2018-07-10T17:45:40Z,,OWNER,,"Structured logs are better. Datasette should default to outputting it's HTTP access log lines as newline delimited JSON instead of the Sanic default format it uses at the moment. For improved greppability these logs should have keys ordered in a consistent way. Python's JSON module can do this with ordered dictionaries.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/241/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 320132682,MDU6SXNzdWUzMjAxMzI2ODI=,250,Setup some issue templates,9599,simonw,open,0,,,,,0,2018-05-04T01:49:07Z,2018-05-04T01:49:07Z,,OWNER,,"https://twitter.com/left_pad/status/99216385740464537 I like the idea of using these to help people understand some of the ways I want to use issues.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/250/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 323223872,MDU6SXNzdWUzMjMyMjM4NzI=,260,Validate metadata.json on startup,9599,simonw,open,0,,,,,7,2018-05-15T13:42:56Z,2023-06-21T12:51:22Z,,OWNER,,"It's easy to misspell the name of a database or table and then be puzzled when the metadata settings silently fail. To avoid this, let's sanity check the provided metadata.json on startup and quit with a useful error message if we find any obvious mistakes.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/260/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 323658641,MDU6SXNzdWUzMjM2NTg2NDE=,262,Add ?_extra= mechanism for requesting extra properties in JSON,9599,simonw,open,0,,,3268330,Datasette 1.0,27,2018-05-16T14:55:42Z,2023-03-29T06:22:22Z,,OWNER,,"Datasette views currently work by creating a set of data that should be returned as JSON, then defining an additional, optional `template_data()` function which is called if the view is being rendered as HTML. This `template_data()` function calculates extra template context variables which are necessary for the HTML view but should not be included in the JSON. Example of how that is used today: https://github.com/simonw/datasette/blob/2b79f2bdeb1efa86e0756e741292d625f91cb93d/datasette/views/table.py#L672-L704 With features like Facets in #255 I'm beginning to want to move more items into the `template_data()` - in the case of facets it's the `suggested_facets` array. This saves that feature from being calculated (involving several SQL queries) for the JSON case where it is unlikely to be used. But... as an API user, I want to still optionally be able to access that information. Solution: Add a `?_extra=suggested_facets&_extra=table_metadata` argument which can be used to optionally request additional blocks to be added to the JSON API. Then redefine as many of the current `template_data()` features as extra arguments instead, and teach Datasette to return certain extras by default when rendering templates. This could allow the JSON representation to be slimmed down further (removing e.g. the `table_definition` and `view_definition` keys) while still making that information available to API users who need it.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/262/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 323718842,MDU6SXNzdWUzMjM3MTg4NDI=,268,Mechanism for ranking results from SQLite full-text search,9599,simonw,open,0,,,,,12,2018-05-16T17:36:40Z,2022-01-13T22:21:28Z,,OWNER,,This isn't particularly straight-forward - all the more reason for Datasette to implement it for you. This article is helpful: http://charlesleifer.com/blog/using-sqlite-full-text-search-with-python/,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/268/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 326599525,MDU6SXNzdWUzMjY1OTk1MjU=,286,Database hash should include current datasette version,9599,simonw,open,0,,,,,2,2018-05-25T17:03:42Z,2018-05-25T17:07:36Z,,OWNER,,"Right now deploying a new version of datasette doesn't invalidate existing URLs, so users may still see a cached copy of the old templates. We can fix this by including the current datasette version in the input to the hash function (which currently just the database file contents).",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/286/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 326778161,MDU6SXNzdWUzMjY3NzgxNjE=,290,Consider increasing the default for num_sql_threads (currently 3),9599,simonw,open,0,,,,,0,2018-05-27T00:52:41Z,2018-05-27T00:52:41Z,,OWNER,,"I ran a very rough micro-benchmark on the new `num_sql_threads` config option (added in #285) datasette --config num_sql_threads:1 fivethirtyeight.db Then ab -n 100 -c 10 'http://127.0.0.1:8011/fivethirtyeight-2628db9/twitter-ratio%2Fsenators' | Number of threads | Requests/second | |---|---| | 1 | 4.57 | | 3 | 9.77 | | 10 | 13.53 | | 20 | 15.24 | 50 | 8.21 | This was on my early 2018 OS X laptop. Need to benchmark in other common environments before making a decision on changing the default. That said, the default of 3 was a number I plucked out of thin air.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/290/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 327365110,MDU6SXNzdWUzMjczNjUxMTA=,294,inspect should record column types,9599,simonw,open,0,,,,,7,2018-05-29T15:10:41Z,2019-06-28T16:45:28Z,,OWNER,,"For each table we want to know the columns, their order and what type they are. I'm going to break with SQLite defaults a little on this one and allow datasette to define additional types - to start with just a `geometry` type for columns that are detected as SpatiaLite geometries. Possible JSON design: ""columns"": [{ ""name"": ""title"", ""type"": ""text"" }, ...] Refs #276",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/294/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 327395270,MDU6SXNzdWUzMjczOTUyNzA=,296,Per-database and per-table /-/ URL namespace,9599,simonw,open,0,,,,,3,2018-05-29T16:23:13Z,2019-06-28T16:46:34Z,,OWNER,,"Initially this will be for subsets of `/-/inspect` and `/-/metadata` but it will also give us a URL namespace for future features like `/-/facet` (expanded list of a specific facet, linked to from `...`) and `/-/graph` To start: * `/dbname/-/inspect` * `/dbname/-/metadata` * `/dbname/tablename/-/inspect` * `/dbname/tablename/-/metadata` This means we will no longer allow databases or tables to have the name `""-""` - I think that's OK We will continue to support rows with a primary key of `""-""` at the following URL: * `/dbname/tablename/-`",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/296/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 328155946,MDU6SXNzdWUzMjgxNTU5NDY=,301,"--spatialite option for ""datasette publish heroku""",9599,simonw,open,0,,,,,1,2018-05-31T14:13:09Z,2022-01-20T21:28:50Z,,OWNER,,Split off from #243. Need to figure out how to install and configure SpatiaLite on Heroku.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/301/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 335200136,MDU6SXNzdWUzMzUyMDAxMzY=,327,Explore if SquashFS can be used to shrink size of packaged Docker containers,9599,simonw,open,0,,,,,4,2018-06-24T18:15:16Z,2022-02-17T23:37:24Z,,OWNER,,"Inspired by this article: https://cldellow.com/2018/06/22/sqlite-parquet-vtable.html#sqlite-database-indexed--squashed https://en.wikipedia.org/wiki/SquashFS is ""a compressed read-only file system for Linux"" - which means it could be a really nice fit for Datasette and its read-only SQLite databases. It would be interesting to explore a Dockerfile recipe that used SquashFS to compress the SQLite database file that was bundled up by `datasette package` and friends.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/327/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 344654623,MDU6SXNzdWUzNDQ2NTQ2MjM=,347,"Rename ""datasette package"" to ""datasette publish docker""",9599,simonw,open,0,,,,,0,2018-07-26T00:42:46Z,2018-07-26T00:42:46Z,,OWNER,,,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/347/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 346026869,MDU6SXNzdWUzNDYwMjY4Njk=,354,Handle many-to-many relationships,9599,simonw,open,0,,,,,0,2018-07-31T04:03:13Z,2020-11-24T19:51:18Z,,OWNER,,This is a master tracking ticket for various many-2-many features.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/354/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 346027040,MDU6SXNzdWUzNDYwMjcwNDA=,355,Table view should support filtering via many-to-many relationships,9599,simonw,open,0,,,,,10,2018-07-31T04:04:16Z,2019-05-23T06:04:03Z,,OWNER,,Parent: #354 ,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/355/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 348043884,MDU6SXNzdWUzNDgwNDM4ODQ=,357,Plugin hook for loading metadata.json,9599,simonw,open,0,,,,,6,2018-08-06T19:00:01Z,2020-06-21T22:19:58Z,,OWNER,,"For https://github.com/simonw/russian-ira-facebook-ads-datasette/tree/af6d956995e14afd585c35a6a06bb01da32043ba I wrote a script to convert YAML to JSON because YAML is a better format for embedding multi-line HTML descriptions and canned SQL statements. Example yaml metadata file: https://github.com/simonw/russian-ira-facebook-ads-datasette/blob/af6d956995e14afd585c35a6a06bb01da32043ba/russian-ads-metadata.yaml It would be useful if Datasette could be fed a YAML file directly: datasette -m metadata.yaml Question is... should this be a native feature (hence adding a YAML dependency) or should it be handled by a `datasette-metadata-yaml` plugin, using a new plugin hook for loading metadata? If so, what would other use-cases for that plugin hook be?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/357/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 400340905,MDU6SXNzdWU0MDAzNDA5MDU=,402,Use SQLITE_DBCONFIG_DEFENSIVE plus other recommendations from SQLite security docs,9599,simonw,open,0,,,,,3,2019-01-17T15:52:28Z,2019-01-17T16:15:21Z,,OWNER,,"> Was just having a skim through the datasette source. Given that the vuln impacts shadow tables, wasn't sure whether these are also covered by the immutable flag. Latest release introduced a SQLITE_DBCONFIG_DEFENSIVE flag that they recommend setting: https://sqlite.org/security.html https://twitter.com/ignoredambience/status/1085926961413869568",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/402/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 421546944,MDU6SXNzdWU0MjE1NDY5NDQ=,417,Datasette Library,9599,simonw,open,0,,,,,12,2019-03-15T14:30:22Z,2020-12-29T14:34:50Z,,OWNER,,"The ability to run Datasette in a mode where it automatically picks up new (or modified) files in a directory tree without needing to restart the server. Suggested command: datasette library /path/to/mydbs/",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/417/reactions"", ""total_count"": 8, ""+1"": 8, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 426722204,MDU6SXNzdWU0MjY3MjIyMDQ=,423,?_search_col=X not reflected correctly in the UI,9599,simonw,open,0,,,,,0,2019-03-28T21:48:19Z,2020-11-03T19:01:59Z,,OWNER,,"e.g. https://latest.datasette.io/fixtures/searchable?_search_text1=barry ![2019-03-28 at 2 47 PM](https://user-images.githubusercontent.com/9599/55195035-84ebb800-5168-11e9-910b-fc9868bcd93e.png) ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/423/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 443021509,MDU6SXNzdWU0NDMwMjE1MDk=,461,Paginate + search for databases/tables on the homepage,9599,simonw,open,0,,,3268330,Datasette 1.0,4,2019-05-11T18:05:34Z,2020-12-17T22:14:46Z,,OWNER,,Split out from #460 - in order to support large numbers of connected databases the homepage needs to be paginated.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/461/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 447408527,MDU6SXNzdWU0NDc0MDg1Mjc=,483,Option to facet by date using month or year,9599,simonw,open,0,,,,,5,2019-05-23T01:25:29Z,2019-05-29T21:38:27Z,,OWNER,,"Facet by date (from #481) can take datetimes and facet them by the day component. https://latest.datasette.io/fixtures/facetable?_facet_date=created I'd like to also be able to facet by month or year. I'm not sure what the best way to achieve this is. Could be two more Facet classes (YearFacet and MonthFacet) but I think it might be nicer if the existing DateFacet could take an optional argument that changed its behaviour. But... if I do that, do I expose it in the UI somewhere or is it only available to URL-hackers?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/483/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 447451492,MDU6SXNzdWU0NDc0NTE0OTI=,484,Mechanism for displaying summary of m2m relationships in rows on table view,9599,simonw,open,0,,,,,1,2019-05-23T05:02:41Z,2019-05-23T06:34:05Z,,OWNER,,"Part of #354 (m2m support) It would be fantastic if rows that are part of a m2m relationship could display it in an additional column in the table view. It might look something like this: https://russian-ira-facebook-ads.datasettes.com/russian-ads-919cbfd/display_ads?_search=black+lives+matter That example [was achieved](https://github.com/simonw/russian-ira-facebook-ads-datasette/blob/daf51a8c50a78e8bc7971c211005fd85e66ccf64/russian-ads-metadata.yaml#L72-L77) using a custom SQL query and [datasette-json-html](https://github.com/simonw/datasette-json-html) - but I'd like this to be a built-in feature instead.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/484/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 447469253,MDU6SXNzdWU0NDc0NjkyNTM=,485,Improvements to table label detection ,9599,simonw,open,0,9599,simonw,,,10,2019-05-23T06:19:49Z,2022-10-03T00:04:42Z,,OWNER,,"Label detection doesn't work if the primary key is called pk rather than id, so this page doesn't work: https://latest.datasette.io/fixtures/roadside_attraction_characteristics Code is here: https://github.com/simonw/datasette/blob/cccea85be6aaaeadb31f3b588ec7f732628815f5/datasette/app.py#L644-L653",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/485/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 449445715,MDU6SXNzdWU0NDk0NDU3MTU=,491,Figure out how to use Firebase with cloudrun to enable vanity URLs and CDN caching,9599,simonw,open,0,,,,,0,2019-05-28T19:48:06Z,2019-05-28T19:48:35Z,,OWNER,,"It looks like Firebase can solve a couple of problems with the existing `datasette publish cloudrun` hosting mechanism: * The URLs it produces aren't pretty enough. Firebase offers more control over vanity URLs. * CDN caching (as seen in `datasette publish now`) is great for improving performance and saving money on Cloud Run execution time. https://firebase.google.com/docs/hosting/cloud-run looks like it can help with both of these. Lots of interesting questions: * Should this be a new `datasette publish firebase` command or should it instead be implemented as additional custom options to `datasette publish cloudrun`? * How much harder does it become to do account setup? * How much will this option cost users?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/491/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 450032134,MDU6SXNzdWU0NTAwMzIxMzQ=,495,facet_m2m gets confused by multiple relationships,9599,simonw,open,0,,,,,2,2019-05-29T21:37:28Z,2020-12-17T05:08:22Z,,OWNER,,"I got this for a database I was playing with: I think this is because of these three tables: ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/495/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 455486286,MDU6SXNzdWU0NTU0ODYyODY=,26,Mechanism for turning nested JSON into foreign keys / many-to-many,9599,simonw,open,0,,,,,14,2019-06-13T00:52:06Z,2022-06-29T23:35:29Z,,OWNER,,"The GitHub JSON APIs have a really interesting convention with respect to related objects. Consider https://api.github.com/repos/simonw/sqlite-utils/issues - here's a truncated subset: ```json { ""id"": 449818897, ""node_id"": ""MDU6SXNzdWU0NDk4MTg4OTc="", ""number"": 24, ""title"": ""Additional Column Constraints?"", ""user"": { ""login"": ""IgnoredAmbience"", ""id"": 98555, ""node_id"": ""MDQ6VXNlcjk4NTU1"", ""avatar_url"": ""https://avatars0.githubusercontent.com/u/98555?v=4"", ""gravatar_id"": """" }, ""labels"": [ { ""id"": 993377884, ""node_id"": ""MDU6TGFiZWw5OTMzNzc4ODQ="", ""url"": ""https://api.github.com/repos/simonw/sqlite-utils/labels/enhancement"", ""name"": ""enhancement"", ""color"": ""a2eeef"", ""default"": true } ], ""state"": ""open"" } ``` The `user` column lists a complete user. The `labels` column has a list of labels. Since both user and label have populated `id` field this is actually enough information for us to create records for them AND set up the corresponding foreign key (for user) and m2m relationships (for labels). It would be really neat if `sqlite-utils` had some kind of mechanism for correctly processing these kind of patterns. Thanks to `jq` there's not much need for extra customization of the shape here - if we support a narrowly defined structure users can use `jq` to reshape arbitrary JSON to match.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/26/reactions"", ""total_count"": 4, ""+1"": 4, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 455852801,MDU6SXNzdWU0NTU4NTI4MDE=,507,Every datasette plugin on the ecosystem page should have a screenshot,9599,simonw,open,0,,,,,4,2019-06-13T17:02:51Z,2020-09-17T02:47:35Z,,OWNER,,https://github.com/simonw/datasette/blob/master/docs/ecosystem.rst,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/507/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 456569067,MDU6SXNzdWU0NTY1NjkwNjc=,510,Ability to facet by delimiter (e.g. comma separated fields),9599,simonw,open,0,9599,simonw,,,1,2019-06-15T19:34:41Z,2019-07-08T15:44:51Z,,OWNER,,"E.g. if a field contains ""Tags,With,Commas"" be able to facet them in the same way as `_facet_array=` lets you facet `[""Tags"", ""With"", ""Commas""]`",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/510/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 456578474,MDU6SXNzdWU0NTY1Nzg0NzQ=,511,Get Datasette tests passing on Windows in GitHub Actions,9599,simonw,open,0,,,,,13,2019-06-15T21:41:58Z,2021-07-11T17:23:05Z,,OWNER,,"This should almost happen as a side-effect or moving from Sanic to Uvicorn during the port to ASGI: #272 Additional steps: - test it manually - update documentation - set up some form of Windows CI ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/511/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 459469278,MDU6SXNzdWU0NTk0NjkyNzg=,515,Try shrinking official image with docker-slim,9599,simonw,open,0,,,,,0,2019-06-22T12:25:37Z,2019-06-22T12:25:37Z,,OWNER,,"This looks really promising: https://github.com/docker-slim/docker-slim If it can shave substantial size from our official container reliably we could add it to the automated build process.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/515/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 459509126,MDU6SXNzdWU0NTk1MDkxMjY=,516,Enforce import sort order with isort,9599,simonw,open,0,,,,,8,2019-06-22T20:35:50Z,2023-08-23T02:15:36Z,,OWNER,,"I want to use isort to order imports. A few steps here: - [x] Add a .isort.cfg file (see below) - [x] Use `isort -rc` to reformat existing code - [ ] Commit this change - [x] Add a unit test that ensures future changes remain isort compatible",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/516/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 459622390,MDU6SXNzdWU0NTk2MjIzOTA=,522,Handle case-insensitive headers in a nicer way,9599,simonw,open,0,,,,,1,2019-06-23T21:56:34Z,2019-06-26T18:48:53Z,,OWNER,,Spun out from https://github.com/simonw/datasette/pull/518#discussion_r296486289,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/522/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 460095928,MDU6SXNzdWU0NjAwOTU5Mjg=,528,Establish a pattern for Datasette plugins built on top of Pandas,9599,simonw,open,0,,,,,0,2019-06-24T21:05:52Z,2019-06-24T21:05:52Z,,OWNER,,"The Pandas ecosystem is huge, varied and full of tools that are really good at doing interesting analysis on top of tabular data. Pandas should not be a dependency of Datasette core, but I think there is a lot of potential in having plugins which use Pandas to apply interesting analysis to data sucked out of Datasette's SQLite tables. One example ([thanks, Tony](https://twitter.com/psychemedia/status/1143259809715752962)): https://github.com/ResidentMario/missingno could form the basis of a fantastic plugin for getting a high-level overview of how complete each column in a table is. Some thought is needed here about what shape these kind of plugins might take, and what plugin hooks they would use.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/528/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 462117311,MDU6SXNzdWU0NjIxMTczMTE=,531,/database/-/inspect,9599,simonw,open,0,,,,,1,2019-06-28T16:33:41Z,2019-07-08T15:43:57Z,,OWNER,,"Build `/database/-/inspect` which shows tables, columns, column types and foreign keys It won't show table counts. Or maybe it will include them optionally but only for `-i` databases, in a special area of the JSON reserved for immutable-only inspect details. _Originally posted by @simonw in https://github.com/simonw/datasette/issues/465#issuecomment-506797086_",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/531/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 463492815,MDU6SXNzdWU0NjM0OTI4MTU=,534,500 error on m2m facet detection,9599,simonw,open,0,,,,,1,2019-07-03T00:42:42Z,2020-12-17T05:08:22Z,,OWNER,,"This may help debug: ``` diff --git a/datasette/facets.py b/datasette/facets.py index 76d73e5..07a4034 100644 --- a/datasette/facets.py +++ b/datasette/facets.py @@ -499,11 +499,14 @@ class ManyToManyFacet(Facet): ""outgoing"" ] if len(other_table_outgoing_foreign_keys) == 2: - destination_table = [ - t - for t in other_table_outgoing_foreign_keys - if t[""other_table""] != self.table - ][0][""other_table""] + try: + destination_table = [ + t + for t in other_table_outgoing_foreign_keys + if t[""other_table""] != self.table + ][0][""other_table""] + except IndexError: + import pdb; pdb.pm() # Only suggest if it's not selected already if (""_facet_m2m"", destination_table) in args: continue ```",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/534/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 463544206,MDU6SXNzdWU0NjM1NDQyMDY=,537,"Populate ""endpoint"" key in ASGI scope",9599,simonw,open,0,,,,,12,2019-07-03T04:54:47Z,2019-07-22T06:03:18Z,,OWNER,,"This is a trick used by Starlette so that other layers of ASGI middleware can see which route was selected. They added it here: https://github.com/encode/starlette/commit/34d0097feb6f057bd050d5057df5a2f96b97384e If Datasette supports it as well we can benefit from it if we integrate this sentry_asgi middleware (probably as a `datasette-sentry` plugin): https://github.com/encode/sentry-asgi/blob/c6a42d44d31f85885b79e4ee898683ecf8104971/sentry_asgi/middleware.py#L34-L35",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/537/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 464987783,MDExOlB1bGxSZXF1ZXN0Mjk1MTI3MjEz,546,Facet by delimiter,9599,simonw,open,0,,,,,2,2019-07-07T20:06:05Z,2019-11-18T23:46:01Z,,OWNER,simonw/datasette/pulls/546,Refs #510,107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/546/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 465003070,MDU6SXNzdWU0NjUwMDMwNzA=,551,Ship many-to-many faceting support (and facet-by-delimiter),9599,simonw,open,0,,,,,2,2019-07-07T23:11:45Z,2019-07-08T15:45:23Z,,OWNER,,,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/551/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 465019882,MDU6SXNzdWU0NjUwMTk4ODI=,552,"Add --plugin-secret support to ""datasette package""",9599,simonw,open,0,,,,,1,2019-07-08T01:46:47Z,2019-07-08T01:47:30Z,,OWNER,,"Split out from #544. I think I should combine this with #347 (renaming `datasette package` to `datasette publish docker`).",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/552/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 465327844,MDU6SXNzdWU0NjUzMjc4NDQ=,553,Potential improvements to facet-by-date,9599,simonw,open,0,,,,,3,2019-07-08T15:37:53Z,2019-07-08T15:41:55Z,,OWNER,,"In addition to #483 Tobias had some useful suggestions on Twitter: https://twitter.com/rixxtr/status/1148253926476701696 > I think for date facets, it might be more meaningful to order them by date, rather than by size? Or offer both? I'm *definitely* often interested in size-over-time, so https://data.rixx.de/django_tickets/tickets?_facet_date=created#facet-created … isn't all that helpful! Screenshot of that link: ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/553/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 472115381,MDU6SXNzdWU0NzIxMTUzODE=,49,extracts= should support multiple-column extracts,9599,simonw,open,0,,,,,10,2019-07-24T07:06:41Z,2020-10-16T19:18:19Z,,OWNER,,"Lookup tables can be constructed on compound columns, but the `extracts=` option doesn't currently support that. Right now extracts can be defined in two ways: ```python # Extract these columns into tables with the same name: dogs = db.table(""dogs"", extracts=[""breed"", ""most_recent_trophy""]) # Same as above but with custom table names: dogs = db.table(""dogs"", extracts={""breed"": ""Breeds"", ""most_recent_trophy"": ""Trophies""}) ``` Need some kind of syntax for much more complicated extractions, like when two columns (say ""source"" and ""source_version"") are extracted into a single table.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/49/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 473288428,MDExOlB1bGxSZXF1ZXN0MzAxNDgzNjEz,564,First proof-of-concept of Datasette Library,9599,simonw,open,0,,,,,1,2019-07-26T10:22:26Z,2023-02-07T15:14:11Z,,OWNER,simonw/datasette/pulls/564,"Refs #417. Run it like this: datasette -d ~/Library Uses a new plugin hook - available_databases() ",107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/564/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1, 481885279,MDU6SXNzdWU0ODE4ODUyNzk=,569,More advanced connection pooling,9599,simonw,open,0,,,,,4,2019-08-17T13:20:41Z,2019-10-02T22:44:37Z,,OWNER,,"We need a much smarter way of handling database connections. Today, connections are simple: Datasette runs a number of threads (defaults to 3) and each thread gets a threadlocal read-only (or immutable) connection to each attached database - opened on demand. For Datasette Library (#417) I want to support potentially hundreds of attached databases. Datasette Edit (#567) is going to introduce a need for writable connections too. I'd also like to be able to run joins across multiple databases (#283) which further complicates things. Supporting thousands of open SQLite connections at once feels like it won't provide good enough performance (though I should benchmark that to be sure). Some kind of connection pooling is likely to be necessary.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/569/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 501773982,MDExOlB1bGxSZXF1ZXN0MzIzOTgzNzMy,579,New connection pooling,9599,simonw,open,0,,,,,1,2019-10-02T23:22:19Z,2019-11-15T22:57:21Z,,OWNER,simonw/datasette/pulls/579,See #569,107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/579/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 503053243,MDU6SXNzdWU1MDMwNTMyNDM=,582,Datasette should not completely crash if one SQLite database is malformed,9599,simonw,open,0,,,,,0,2019-10-06T05:11:43Z,2019-10-06T05:11:43Z,,OWNER,,"If you run Datasette against a number of database files and one of them is malformed, you get this 500 error on the index page: It would be better if Datasette still worked and listed the databases that were NOT malformed, then showed an inline error message just for the one that could not be accessed.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/582/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 507454958,MDU6SXNzdWU1MDc0NTQ5NTg=,596,Handle really wide tables better,9599,simonw,open,0,,,,,9,2019-10-15T20:05:46Z,2022-09-07T00:58:41Z,,OWNER,,"If a table has hundreds of columns the Datasette UI starts getting unwieldy. Addressing this would be neat. One option would be to only select the first 30 columns by default and provide a UI for selecting more.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/596/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 516874735,MDU6SXNzdWU1MTY4NzQ3MzU=,613,Basic join support for table view,9599,simonw,open,0,,,,,1,2019-11-03T19:12:53Z,2019-11-03T19:14:01Z,,OWNER,,"I think it would be possible to support basic foreign key joins on the table page. The user could specify columns that should result in a join (from a set of suggestions similar to how facets work right now) and they could then be passed as `?_join=city_id` arguments. This feature will make a lot of sense when combined with the ability to show / hide / customize columns, see #292",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/613/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 520667773,MDU6SXNzdWU1MjA2Njc3NzM=,620,Mechanism for indicating foreign key relationships in the table and query page URLs,9599,simonw,open,0,,,,,6,2019-11-10T22:26:27Z,2021-04-05T03:57:22Z,,OWNER,,"Datasette currently only inflates foreign keys (into names hyperlinks) if it detects them as foreign key constraints in the underlying database. It would be useful if you could specify additional ""foreign keys"" using both `metadata.json` and the querystring - similar time how you can pass `?_fts_table=x` https://datasette.readthedocs.io/en/stable/full_text_search.html#configuring-full-text-search-for-a-table-or-view",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/620/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 1}",, 520681725,MDU6SXNzdWU1MjA2ODE3MjU=,621,Syntax for ?_through= that works as a form field,9599,simonw,open,0,,,,,7,2019-11-11T00:19:03Z,2021-12-18T01:42:33Z,,OWNER,,"The current syntax for `?_through=` uses JSON to avoid any risk of confusion with table or column names that contain special characters. This means you can't target a form field at it. We should be able to support both - `?x.y.z=value` for tables and columns with ""regular"" names, falling back to the current JSON syntax for columns or tables that won't work with the key/value syntax.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/621/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 530468212,MDU6SXNzdWU1MzA0NjgyMTI=,643,Set up some basic benchmarks as part of the unit tests,9599,simonw,open,0,,,,,0,2019-11-29T19:24:19Z,2019-11-29T19:24:19Z,,OWNER,,"https://pypi.org/project/pytest-benchmark/ looks great for this. Here's how to run it as a github action: https://github.com/rhysd/github-action-benchmark/blob/master/examples/pytest/README.md",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/643/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 534629631,MDU6SXNzdWU1MzQ2Mjk2MzE=,650,Add a glossary to the documentation,9599,simonw,open,0,,,,,3,2019-12-09T00:23:45Z,2022-01-13T22:04:56Z,,OWNER,,"Call it `glossary.rst` - it can use a definition list something like this: ```rst .. _glossary: Glossary ======== Term A definition of the term. Another term Another definition. ```",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/650/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 559964149,MDU6SXNzdWU1NTk5NjQxNDk=,665,Introduce a SQL statement parser in Python,9599,simonw,open,0,,,,,1,2020-02-04T20:36:05Z,2020-02-04T20:36:48Z,,OWNER,,#254 and #653 are both examples of problems that could be solved using a real SQL parser in Python.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/665/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 564833696,MDU6SXNzdWU1NjQ4MzM2OTY=,670,Prototoype for Datasette on PostgreSQL,9599,simonw,open,0,,,,,15,2020-02-13T17:17:55Z,2023-11-17T15:32:21Z,,OWNER,,"I thought this would never happen, but now that I'm deep in the weeds of running SQLite in production for Datasette Cloud I'm starting to reconsider my policy of only supporting SQLite. Some of the factors making me think PostgreSQL support could be worth the effort: - Serverless. I'm getting increasingly excited about writable-database use-cases for Datasette. If it could talk to PostgreSQL then users could easily deploy it on Heroku or other serverless providers that can talk to a managed RDS-style PostgreSQL. - Existing databases. Plenty of organizations have PostgreSQL databases. They can export to SQLite using [db-to-sqlite](https://github.com/simonw/db-to-sqlite) but that's a pretty big barrier to getting started - being able to run `datasette postgresql://connection-string` and start trying it out would be a massively better experience. - Data size. I keep running into use-cases where I want to run Datasette against many GBs of data. SQLite can do this but PostgreSQL is much more optimized for large data, especially given the existence of tools like Citus. - Marketing. Convincing people to trust their data to SQLite is potentially a big barrier to adoption. Even if I've convinced myself it's trustworthy I still have to convince everyone else. - It might not be that hard? If this required a ground-up rewrite it wouldn't be worth the effort, but I have a hunch that it may not be too hard - most of the SQL in Datasette should work on both databases since it's almost all portable SELECT statements. If Datasette did DML this would be a lot harder, but it doesn't. - Plugins! This feels like a natural surface for a plugin - at which point people could add MySQL support and suchlike in the future. The above reasons feel strong enough to justify a prototype.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/670/reactions"", ""total_count"": 19, ""+1"": 14, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 5, ""rocket"": 0, ""eyes"": 0}",, 565064079,MDExOlB1bGxSZXF1ZXN0Mzc1MTgwODMy,672,--dirs option for scanning directories for SQLite databases,9599,simonw,open,0,,,,,15,2020-02-14T02:25:52Z,2020-03-27T01:03:53Z,,OWNER,simonw/datasette/pulls/672,Refs #417.,107914493,datasette,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/672/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0, 573578548,MDU6SXNzdWU1NzM1Nzg1NDg=,89,Ability to customize columns used by extracts= feature,9599,simonw,open,0,,,,,3,2020-03-01T16:54:48Z,2020-10-16T19:17:50Z,,OWNER,,"@simonw any thoughts on allow extracts to specify the lookup column name? If I'm understanding the documentation right, `.lookup()` allows you to define the ""value"" column (the documentation uses name), but when you use `extracts` keyword as part of `.insert()`, `.upsert()` etc. the lookup must be done against a column named ""value"". I have an existing lookup table that I've populated with columns ""id"" and ""name"" as opposed to ""id"" and ""value"", and seems I can't use `extracts=`, unless I'm missing something... Initial thought on how to do this would be to allow the dictionary value to be a tuple of table name column pair... so: ``` table = db.table(""trees"", extracts={""species_id"": (""Species"", ""name""}) ``` I haven't dug too much into the existing code yet, but does this make sense? Worth doing? _Originally posted by @chrishas35 in https://github.com/simonw/sqlite-utils/issues/46#issuecomment-592999503_",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/89/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 574021194,MDU6SXNzdWU1NzQwMjExOTQ=,691,--reload sould reload server if code in --plugins-dir changes,9599,simonw,open,0,,,,,1,2020-03-02T14:42:21Z,2020-06-14T02:35:17Z,,OWNER,,,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/691/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 574035432,MDU6SXNzdWU1NzQwMzU0MzI=,692,is_hidden_table context variable on table.html page,9599,simonw,open,0,,,,,1,2020-03-02T15:03:25Z,2020-03-02T15:03:48Z,,OWNER,,It's useful to know if a table is hidden when rendering that page. `datasette-configure-fts` for example may want to disallow enabling search on hidden tables.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/692/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 581795570,MDU6SXNzdWU1ODE3OTU1NzA=,93,Support more string values for types in .add_column(),9599,simonw,open,0,,,,,0,2020-03-15T19:32:49Z,2020-09-24T20:36:46Z,,OWNER,,"https://sqlite-utils.readthedocs.io/en/2.4.2/python-api.html#adding-columns says: > SQLite types you can specify are ""TEXT"", ""INTEGER"", ""FLOAT"" or ""BLOB"". As discovered in #92 this isn't the right list of values. I should expand this to match https://www.sqlite.org/datatype3.html",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/93/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 593006814,MDU6SXNzdWU1OTMwMDY4MTQ=,715,Refactor duplicate cell display logic,9599,simonw,open,0,,,,,0,2020-04-03T00:58:11Z,2020-04-03T00:58:11Z,,OWNER,,"The logic for rendering cells in table view and in database (or canned query) view is currently very similar: https://github.com/simonw/datasette/blob/7656fd64d8b6a32ebc34d89c1b8711cc5ea240f7/datasette/views/base.py#L514-L539 Compared with: https://github.com/simonw/datasette/blob/7656fd64d8b6a32ebc34d89c1b8711cc5ea240f7/datasette/views/table.py#L104-L195 I'll be changing this a bit in #698 but I should still try to clean this up more further in the future.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/715/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 594237015,MDU6SXNzdWU1OTQyMzcwMTU=,718,Plugin idea: datasette-redirects,9599,simonw,open,0,,,,,0,2020-04-05T03:41:38Z,2023-08-30T22:17:31Z,,OWNER,,"I just had to write a one-off custom plugin to redirect niche-musems.com to www.niche-museums.com (https://github.com/simonw/museums/issues/21) - it would be great if this kind of thing could be handled by a configurable plugin. https://github.com/simonw/museums/blob/6b1faf00c463b2228860d4d62d104b11935e01b1/plugins/redirect_www.py",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/718/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,reopened 607223136,MDU6SXNzdWU2MDcyMjMxMzY=,741,"Replace ""datasette publish --extra-options"" with ""--setting""",9599,simonw,open,0,,,3268330,Datasette 1.0,9,2020-04-27T04:29:04Z,2022-05-12T19:21:16Z,,OWNER,,"See https://github.com/simonw/datasette-publish-now/issues/9#issuecomment-618155764 - the `--extra-options` mechanism is in practice just used to set `--config` options in data that you publish, but that means you end up with pretty messy looking commands: datasette publish my.db --extra-options=""--config default_page_size:50 --config sql_time_limit_ms:3500"" A neater design would be to support `--config` as an option for `datasette publish` directly: datasette publish my.db --config default_page_size:50 --config sql_time_limit_ms:3500 ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/741/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 613422636,MDU6SXNzdWU2MTM0MjI2MzY=,760,Way of seeing full schema for a database,9599,simonw,open,0,,,,,3,2020-05-06T15:46:08Z,2020-05-06T23:49:06Z,,OWNER,,"I find myself wanting to quickly figure out all of the BLOB columns in a database. A `/-/schema` page showing the full schema (actually since it's per-database probably `/dbname/-/schema` or `/-/schema/dbname`) would be really handy. It would need to be carefully constructed from various queries against `sqlite_master` - just doing `select * from sqlite_master where type='table'` isn't quite enough because I also want to show indexes, triggers etc.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/760/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 613491342,MDU6SXNzdWU2MTM0OTEzNDI=,762,Experiment with PRAGMA hard_heap_limit ,9599,simonw,open,0,,,,,0,2020-05-06T17:33:23Z,2020-05-07T03:08:44Z,,OWNER,,"This was added in SQLite 2020-01-22 (3.31.0): https://www.sqlite.org/changes.html#version_3_31_0 > Add the [sqlite3_hard_heap_limit64()](https://www.sqlite.org/c3ref/hard_heap_limit64.html) interface and the corresponding [PRAGMA hard_heap_limit](https://www.sqlite.org/pragma.html#pragma_hard_heap_limit) command. This sounds like it could be a nice extra safety measure.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/762/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 616087149,MDU6SXNzdWU2MTYwODcxNDk=,765,publish heroku should default to currently tagged version,9599,simonw,open,0,,,,,1,2020-05-11T18:24:06Z,2020-05-11T18:25:43Z,,OWNER,,"Had a report that deploying to Heroku was using the previously installed version of Datasette, not the latest. Could be because of this: https://github.com/simonw/datasette/blob/af6c6c5d6f929f951c0e63bfd1c82e37a071b50f/datasette/publish/heroku.py#L172-L179 Heroku documentation recommends pinning to specific versions https://devcenter.heroku.com/articles/python-pip So... we could ensure we default to an install value of `[""datasette>=current_tag""]`.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/765/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 626211658,MDU6SXNzdWU2MjYyMTE2NTg=,778,Ability to configure keyset pagination for views and queries,9599,simonw,open,0,,,,,1,2020-05-28T04:48:56Z,2020-10-02T02:26:25Z,,OWNER,,"Currently views offer pagination, but it uses offset/limit - e.g. https://latest.datasette.io/fixtures/paginated_view?_next=100 This means pagination will perform poorly on deeper pages. If a view is based on a table that has a primary key it should be possible to configure efficient keyset pagination that works the same way that table pagination works. This may be as simple as configuring a column that can be treated as a ""primary key"" for the purpose of pagination using `metadata.json` - or with a `?_view_pk=colname` querystring argument.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/778/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 626582657,MDU6SXNzdWU2MjY1ODI2NTc=,779,Make human_description_en explicitly available to output renderers,9599,simonw,open,0,,,,,0,2020-05-28T14:59:54Z,2020-05-28T14:59:54Z,,OWNER,,"`datasette-atom` uses this: https://github.com/simonw/datasette-atom/blob/df98a6c43a443224b6cd232f84703ec297ef046b/datasette_atom/__init__.py#L36-L37 ```python if data.get(""human_description_en""): title += "": "" + data[""human_description_en""] ``` It's a nice way to generate a useful title for a filtered table.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/779/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 626593402,MDU6SXNzdWU2MjY1OTM0MDI=,780,Internals documentation for datasette.metadata() method,9599,simonw,open,0,,,3268330,Datasette 1.0,2,2020-05-28T15:14:22Z,2022-03-15T20:50:34Z,,OWNER,,https://github.com/simonw/datasette/blob/40885ef24e32d91502b6b8bbad1c7376f50f2830/datasette/app.py#L297-L328,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/780/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 628156527,MDU6SXNzdWU2MjgxNTY1Mjc=,789,Mechanism for enabling pluggy tracing,9599,simonw,open,0,,,,,2,2020-06-01T05:10:14Z,2020-06-01T05:11:03Z,,OWNER,,"Could be useful for debugging plugins: https://pluggy.readthedocs.io/en/latest/#call-tracing I tried this out by adding these two lines in `plugins.py`: ```python pm = pluggy.PluginManager(""datasette"") pm.add_hookspecs(hookspecs) # Added these: pm.trace.root.setwriter(print) pm.enable_tracing() ``` Output looked something like this: ``` INFO: 127.0.0.1:52724 - ""GET /-/-/static/app.css HTTP/1.1"" 404 Not Found actor_from_request [hook] datasette: request: finish actor_from_request --> [] [hook] extra_body_script [hook] template: show_json.html database: None table: None view_name: json_data datasette: finish extra_body_script --> [] [hook] extra_template_vars [hook] template: show_json.html database: None table: None view_name: json_data request: datasette: finish extra_template_vars --> [] [hook] extra_css_urls [hook] template: show_json.html database: None table: None datasette: finish extra_css_urls --> [] [hook] extra_js_urls [hook] template: show_json.html database: None table: None datasette: finish extra_js_urls --> [] [hook] INFO: 127.0.0.1:52724 - ""GET /-/actor HTTP/1.1"" 200 OK actor_from_request [hook] datasette: request: finish actor_from_request --> [] [hook] ```",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/789/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 628572716,MDU6SXNzdWU2Mjg1NzI3MTY=,791,Tutorial: building a something-interesting with writable canned queries,9599,simonw,open,0,,,,,2,2020-06-01T16:32:05Z,2020-10-10T23:34:42Z,,OWNER,,"Initial idea: TODO list, as a tutorial for #698 writable canned queries.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/791/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 632724154,MDU6SXNzdWU2MzI3MjQxNTQ=,805,Writable canned queries live demo on Glitch,9599,simonw,open,0,,,,,11,2020-06-06T20:52:13Z,2020-07-01T22:44:01Z,,OWNER,,"Needs to run somewhere with a mutable disk drive, so not Cloud Run or Heroku or Vercel. I think I'll put it on Glitch.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/805/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 634663505,MDU6SXNzdWU2MzQ2NjM1MDU=,815,Group permission checks by request on /-/permissions debug page,9599,simonw,open,0,,,,,8,2020-06-08T14:25:23Z,2020-12-17T22:06:48Z,,OWNER,,"Now that we're making a LOT more permission checks (on the DB index page we do a check for every listed table for example) the `/-/permissions` page gets filled up pretty quickly. Can make this more readable by grouping permission checks by request. Have most recent request at the top of the page but the permission requests within that page sorted chronologically by most recent last.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/815/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 636511683,MDU6SXNzdWU2MzY1MTE2ODM=,830,Redesign register_facet_classes plugin hook,9599,simonw,open,0,,,3268330,Datasette 1.0,3,2020-06-10T20:03:27Z,2021-12-16T19:58:22Z,,OWNER,,"Nothing uses this plugin hook yet, so the design is not yet proven. I'm going to build a real plugin against it and use that process to inform any design changes that may need to be made. I'll add a warning about this to the documentation.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/830/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 638238548,MDU6SXNzdWU2MzgyMzg1NDg=,845,Code coverage should ignore files in .coveragerc,9599,simonw,open,0,,,,,0,2020-06-13T21:45:42Z,2020-06-13T21:46:03Z,,OWNER,,"I'm not sure why this is, but the code coverage I have running in a GitHub Action doesn't take my `.coveragerc` file into account. It should: https://github.com/simonw/datasette/blob/cf7a2bdb404734910ec07abc7571351a2d934828/.github/workflows/test-coverage.yml#L31-L35 Here's the bit that's ignored: https://github.com/simonw/datasette/blob/cf7a2bdb404734910ec07abc7571351a2d934828/.coveragerc#L1-L2 As a result my coverage score is 84%, when it should be 92%: ``` 2020-06-13T21:41:18.4404252Z ----------- coverage: platform linux, python 3.8.3-final-0 ----------- 2020-06-13T21:41:18.4404570Z Name Stmts Miss Cover 2020-06-13T21:41:18.4404971Z -------------------------------------------------------- 2020-06-13T21:41:18.4405227Z datasette/__init__.py 3 0 100% 2020-06-13T21:41:18.4405441Z datasette/__main__.py 3 3 0% 2020-06-13T21:41:18.4405668Z datasette/_version.py 279 279 0% 2020-06-13T21:41:18.4405921Z datasette/actor_auth_cookie.py 20 0 100% 2020-06-13T21:41:18.4406135Z datasette/app.py 499 27 95% 2020-06-13T21:41:18.4406343Z datasette/cli.py 162 45 72% 2020-06-13T21:41:18.4406553Z datasette/database.py 236 17 93% 2020-06-13T21:41:18.4406761Z datasette/default_permissions.py 40 0 100% 2020-06-13T21:41:18.4406975Z datasette/facets.py 210 24 89% 2020-06-13T21:41:18.4407186Z datasette/filters.py 122 7 94% 2020-06-13T21:41:18.4407394Z datasette/hookspecs.py 34 0 100% 2020-06-13T21:41:18.4407600Z datasette/inspect.py 36 23 36% 2020-06-13T21:41:18.4407807Z datasette/plugins.py 34 6 82% 2020-06-13T21:41:18.4408014Z datasette/publish/__init__.py 0 0 100% 2020-06-13T21:41:18.4408240Z datasette/publish/cloudrun.py 57 2 96% 2020-06-13T21:41:18.4408786Z datasette/publish/common.py 19 1 95% 2020-06-13T21:41:18.4409029Z datasette/publish/heroku.py 97 13 87% 2020-06-13T21:41:18.4409243Z datasette/renderer.py 63 4 94% 2020-06-13T21:41:18.4409450Z datasette/sql_functions.py 5 0 100% 2020-06-13T21:41:18.4410480Z datasette/tracer.py 87 16 82% 2020-06-13T21:41:18.4410972Z datasette/utils/__init__.py 504 31 94% 2020-06-13T21:41:18.4411755Z datasette/utils/asgi.py 264 24 91% 2020-06-13T21:41:18.4412173Z datasette/utils/shutil_backport.py 44 44 0% 2020-06-13T21:41:18.4412822Z datasette/version.py 4 0 100% 2020-06-13T21:41:18.4413562Z datasette/views/__init__.py 0 0 100% 2020-06-13T21:41:18.4414276Z datasette/views/base.py 288 19 93% 2020-06-13T21:41:18.4414579Z datasette/views/database.py 120 2 98% 2020-06-13T21:41:18.4414860Z datasette/views/index.py 57 2 96% 2020-06-13T21:41:18.4415379Z datasette/views/special.py 72 16 78% 2020-06-13T21:41:18.4418994Z datasette/views/table.py 418 18 96% 2020-06-13T21:41:18.4428811Z -------------------------------------------------------- 2020-06-13T21:41:18.4430394Z TOTAL 3777 623 84% ```",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/845/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 639993467,MDU6SXNzdWU2Mzk5OTM0Njc=,850,Proof of concept for Datasette on AWS Lambda with EFS,9599,simonw,open,0,,,,,25,2020-06-16T21:48:31Z,2020-06-16T23:52:16Z,,OWNER,,"https://aws.amazon.com/about-aws/whats-new/2020/06/aws-lambda-support-for-amazon-elastic-file-system-now-generally-/ If Datasette can run on Lambda with access to EFS it could both read AND write large databases there.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/850/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 642296989,MDU6SXNzdWU2NDIyOTY5ODk=,856,Consider pagination of canned queries,9599,simonw,open,0,,,,,3,2020-06-20T03:15:59Z,2021-05-21T14:22:41Z,,OWNER,,The new `canned_queries()` plugin hook from #852 combined with plugins like https://github.com/simonw/datasette-saved-queries could mean that some installations end up with hundreds or even thousands of canned queries. I should consider pagination or some other way of ensuring that this doesn't cause performance problems for Datasette.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/856/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 643510821,MDU6SXNzdWU2NDM1MTA4MjE=,862,Set an upper limit on total facet suggestion time for a page,9599,simonw,open,0,,,,,1,2020-06-23T03:57:55Z,2020-06-23T03:58:48Z,,OWNER,,"If a table has 100 columns the facet suggestion code will currently run 100 times, taking a max of `facet_suggest_time_limit_ms` which defaults to 50ms per column: https://github.com/simonw/datasette/blob/000528192eaf891118932250141dabe7a1561ece/datasette/facets.py#L142-L162 So for 100 columns, that's 100 * 50ms = 5s total time that might be spent attempting to calculate facets on a large table! I should implement a hard upper limit on the total amount of time taken suggesting facets - probably of around 500ms. If it takes longer than that the remaining columns will not be considered.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/862/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 644161221,MDU6SXNzdWU2NDQxNjEyMjE=,117,Support for compound (composite) foreign keys,9599,simonw,open,0,,,,,3,2020-06-23T21:33:42Z,2020-06-23T21:40:31Z,,OWNER,,"It turns out SQLite supports composite foreign keys: https://www.sqlite.org/foreignkeys.html#fk_composite Their example looks like this: ```sql CREATE TABLE album( albumartist TEXT, albumname TEXT, albumcover BINARY, PRIMARY KEY(albumartist, albumname) ); CREATE TABLE song( songid INTEGER, songartist TEXT, songalbum TEXT, songname TEXT, FOREIGN KEY(songartist, songalbum) REFERENCES album(albumartist, albumname) ); ``` Here's what that looks like in sqlite-utils: ``` In [1]: import sqlite_utils In [2]: import sqlite3 In [3]: conn = sqlite3.connect("":memory:"") In [4]: conn Out[4]: In [5]: conn.executescript("""""" ...: CREATE TABLE album( ...: albumartist TEXT, ...: albumname TEXT, ...: albumcover BINARY, ...: PRIMARY KEY(albumartist, albumname) ...: ); ...: ...: CREATE TABLE song( ...: songid INTEGER, ...: songartist TEXT, ...: songalbum TEXT, ...: songname TEXT, ...: FOREIGN KEY(songartist, songalbum) REFERENCES album(albumartist, albumname) ...: ); ...: """""") Out[5]: In [6]: db = sqlite_utils.Database(conn) In [7]: db.tables Out[7]: [,
] In [8]: db.tables[0].foreign_keys Out[8]: [] In [9]: db.tables[1].foreign_keys Out[9]: [ForeignKey(table='song', column='songartist', other_table='album', other_column='albumartist'), ForeignKey(table='song', column='songalbum', other_table='album', other_column='albumname')] ``` The table appears to have two separate foreign keys, when actually it has a single compound composite foreign key.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/117/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 646737558,MDU6SXNzdWU2NDY3Mzc1NTg=,870,Refactor default views to use register_routes,9599,simonw,open,0,,,,,10,2020-06-27T18:53:12Z,2022-03-15T20:07:18Z,,OWNER,,"It would be much cleaner if Datasette's default views were all registered using the new `register_routes()` plugin hook. Could dramatically reduce the code in `datasette/app.py`. > The ideal fix here would be to rework my `BaseView` subclass mechanism to work with `register_routes()` so that those views don't have any special privileges above plugin-provided views. _Originally posted by @simonw in https://github.com/simonw/datasette/issues/864#issuecomment-648580556_",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/870/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 647095487,MDU6SXNzdWU2NDcwOTU0ODc=,873,"""datasette -p 0 --root"" gives the wrong URL",9599,simonw,open,0,,,,,14,2020-06-29T04:03:06Z,2020-08-18T17:26:10Z,,OWNER,,"``` $ datasette -p 0 --root http://127.0.0.1:0/-/auth-token?token=2d498c... ``` The port is incorrect.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/873/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 648435885,MDU6SXNzdWU2NDg0MzU4ODU=,878,"New pattern for views that return either JSON or HTML, available for plugins",9599,simonw,open,0,,,3268330,Datasette 1.0,26,2020-06-30T19:26:13Z,2022-03-19T16:19:30Z,,OWNER,,"Can be part of #870 - refactoring existing views to use `register_routes()`. > I'm going to put the new `check_permissions()` method on `BaseView` as well. If I want that method to be available to plugins I can do so by turning that `BaseView` class into a documented API that plugins are encouraged to use themselves. _Originally posted by @simonw in https://github.com/simonw/datasette/issues/832#issuecomment-651995453_",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/878/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 648659536,MDU6SXNzdWU2NDg2NTk1MzY=,881,Figure out why restore_working_directory is needed in some places,9599,simonw,open,0,,,,,0,2020-07-01T04:19:25Z,2020-07-01T04:19:25Z,,OWNER,,"This is a frustrating workaround. I have a `restore_working_directory` fixture that I wrote to solve errors that look like this: ``` /Users/simon/Dropbox/Development/datasette/tests/test_publish_cloudrun.py:148: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/local/opt/python/Frameworks/Python.framework/Versions/3.7/lib/python3.7/contextlib.py:112: in __enter__ return next(self.gen) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = @contextlib.contextmanager def isolated_filesystem(self): """"""A context manager that creates a temporary folder and changes the current working directory to it for isolated filesystem tests. """""" > cwd = os.getcwd() E FileNotFoundError: [Errno 2] No such file or directory ``` Here's an example of it in use: removing the `restore_working_directory` argument from this function causes the failure. https://github.com/simonw/datasette/blob/549b1c2063db48c4622ee5c7b478a1e3cbc1ac07/tests/test_plugins.py#L689-L690 I'd like to not have to do this.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/881/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 649429772,MDU6SXNzdWU2NDk0Mjk3NzI=,886,Reconsider how _actor_X magic parameter deals with missing values,9599,simonw,open,0,,,,,2,2020-07-02T00:00:38Z,2020-09-11T21:35:26Z,,OWNER,,"I had to build a custom `_actorornull` prefix for [datasette-saved-queries](https://github.com/simonw/datasette-saved-queries/blob/37c00e56ac398e1f9aa342d30357de013a9b37b4/datasette_saved_queries/__init__.py): ```python def actorornull(key, request): if request.actor is None: return None return request.actor.get(key) @hookimpl def register_magic_parameters(): return [ (""actorornull"", actorornull), ] ``` Maybe the `actor` magic in Datasette core should do that out of the box? https://github.com/simonw/datasette/blob/f1f581b7ffcd5d8f3ae6c1c654d813a6641410eb/datasette/default_magic_parameters.py#L14-L17 ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/886/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 652961907,MDU6SXNzdWU2NTI5NjE5MDc=,121,Improved (and better documented) support for transactions,9599,simonw,open,0,,,,,3,2020-07-08T04:56:51Z,2020-09-24T20:36:46Z,,OWNER,,"_Originally posted by @simonw in https://github.com/simonw/sqlite-utils/pull/118#issuecomment-655283393_ We should put some thought into how this library supports and encourages smart use of transactions.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/121/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 657572753,MDU6SXNzdWU2NTc1NzI3NTM=,894,?sort=colname~numeric to sort by by column cast to real,9599,simonw,open,0,,,,,21,2020-07-15T18:47:48Z,2021-08-20T02:07:53Z,,OWNER,,"If a text column actually contains numbers, being able to ""sort by column, treated as numeric"" would be really useful. Probably depends on column actions enabled by #690",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/894/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 659873662,MDU6SXNzdWU2NTk4NzM2NjI=,898,datasette.utils.testing module,9599,simonw,open,0,,,,,2,2020-07-18T03:53:24Z,2020-07-18T03:57:46Z,,OWNER,,"The unit tests for plugins could benefit from reusing code from Datasette's own testing fixtures, e.g.: > I may need to borrow this function from Datasette for the tests: > https://github.com/simonw/datasette/blob/1f6a134369e6a7efaae9db469f15b1dd2b7f3709/tests/fixtures.py#L836-L851 > > It's not importable (it lives in `fixtures.py` and not in the `datasette` package that gets packaged for PyPI) - maybe I should fix that in Datasette by adding a `from datasette.utils.testing` module. _Originally posted by @simonw in https://github.com/simonw/datasette-update-api/issues/4#issuecomment-660419182_",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/898/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 668064026,MDU6SXNzdWU2NjgwNjQwMjY=,911,"Rethink the --name option to ""datasette publish""",9599,simonw,open,0,,,3268330,Datasette 1.0,0,2020-07-29T18:49:49Z,2020-07-29T18:49:49Z,,OWNER,,`--name` works inconsistently across the different publish providers - on Cloud Run you should use `--service` instead for example. Need to review it across all of them and either remove it or clarify what it does.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/911/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 670209331,MDU6SXNzdWU2NzAyMDkzMzE=,913,Mechanism for passing additional options to `datasette my.db` that affect plugins,9599,simonw,open,0,,,,,5,2020-07-31T20:38:26Z,2021-01-04T20:04:11Z,,OWNER,,"> It's a shame there's no obvious mechanism for passing additional options to `datasette my.db` that affect how plugins work. > >The only way I can think of at the moment is via environment variables: > > DATASETTE_INSERT_UNSAFE=1 datasette my.db > >This will have to do for the moment - it's ugly enough that people will at least know they are doing something unsafe, which is the goal here. _Originally posted by @simonw in https://github.com/simonw/datasette-insert/issues/15#issuecomment-667346438_",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/913/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 672421411,MDU6SXNzdWU2NzI0MjE0MTE=,916,"Support reverse pagination (previous page, has-previous-items)",9599,simonw,open,0,,,,,7,2020-08-04T00:32:06Z,2021-04-03T23:43:11Z,,OWNER,,"I need this for `datasette-graphql` for full compatibility with the way Relay likes to paginate - using cursors for paginating backwards as well as for paginating forwards. > This may be the kick I need to get Datasette pagination to work in reverse too. _Originally posted by @simonw in https://github.com/simonw/datasette-graphql/issues/2#issuecomment-668305853_",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/916/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 675594325,MDU6SXNzdWU2NzU1OTQzMjU=,917,"Idea: ""datasette publish"" option for ""only if the data has changed",9599,simonw,open,0,,,,,0,2020-08-08T21:58:27Z,2020-08-08T21:58:27Z,,OWNER,,"This is a pattern I often find myself needing. I usually implement this in GitHub Actions like this: https://github.com/simonw/covid-19-datasette/blob/efa01c39abc832b8641fc2a92840cc3acae2fb08/.github/workflows/scheduled.yml#L52-L63 ```yaml - name: Set variables to decide if we should deploy id: decide_variables run: |- echo ""##[set-output name=latest;]$(datasette inspect covid.db | jq '.covid.hash' -r)"" echo ""##[set-output name=deployed;]$(curl -s https://covid-19.datasettes.com/-/databases.json | jq '.[0].hash' -r)"" - name: Set up Cloud Run if: github.event_name == 'workflow_dispatch' || steps.decide_variables.outputs.latest != steps.decide_variables.outputs.deployed uses: GoogleCloudPlatform/github-actions/setup-gcloud@master ``` This is pretty fiddly. It might be good for `datasette publish` to grow a helper option that does effectively this - hashes the databases (and the `metadata.json`) and compares them to the deployed version.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/917/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 675753042,MDU6SXNzdWU2NzU3NTMwNDI=,131,sqlite-utils insert: options for column types,9599,simonw,open,0,,,,,5,2020-08-09T18:59:11Z,2022-03-15T13:21:42Z,,OWNER,,"The `insert` command currently results in string types for every column - at least when used against CSV or TSV inputs. It would be useful if you could do the following: - automatically detects the column types based on eg the first 1000 records - explicitly state the rule for specific columns `--detect-types` could work for the former - or it could do that by default and allow opt-out using `--no-detect-types` For specific columns maybe this: sqlite-utils insert db.db images images.tsv \ --tsv \ -c id int \ -c score float",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/131/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 678760988,MDU6SXNzdWU2Nzg3NjA5ODg=,932,End-user documentation,9599,simonw,open,0,,,3268330,Datasette 1.0,6,2020-08-13T22:04:39Z,2022-03-08T15:20:48Z,,OWNER,,"Datasette's documentation is aimed at people who install and configure it. What about end users of preconfigured and deployed Datasette instances? Something that can be linked to from the Datasette UI would be really useful.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/932/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 687694947,MDU6SXNzdWU2ODc2OTQ5NDc=,954,Remove old register_output_renderer dict mechanism in Datasette 1.0,9599,simonw,open,0,,,3268330,Datasette 1.0,1,2020-08-28T04:04:23Z,2020-08-28T04:56:31Z,,OWNER,,"> Documentation says that the old dictionary mechanism will be deprecated by 1.0: > > https://github.com/simonw/datasette/blob/799ecae94824640bdff21f86997f69844048d5c3/docs/plugin_hooks.rst#L460 _Originally posted by @simonw in https://github.com/simonw/datasette/issues/953#issuecomment-682312494_",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/954/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 688351054,MDU6SXNzdWU2ODgzNTEwNTQ=,140,Idea: insert-files mechanism for adding extra columns with fixed values,9599,simonw,open,0,,,,,1,2020-08-28T20:57:36Z,2022-03-20T19:45:45Z,,OWNER,,"Say for example you want to populate a `file_type` column with the value `gif`. That could work like this: ``` sqlite-utils insert-files gifs.db images *.gif \ -c path -c md5 -c last_modified:mtime \ -c file_type:text:gif --pk=path ``` So a column defined as a `text` column with a value that follows a second colon.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/140/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 688352145,MDU6SXNzdWU2ODgzNTIxNDU=,141,insert-files support for compressed values,9599,simonw,open,0,,,,,0,2020-08-28T20:59:46Z,2020-09-24T20:36:08Z,,OWNER,,"The `sqlar` format supports this, it would be useful if `insert-files` could support this too. https://www.sqlite.org/sqlar.html",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/141/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 691537426,MDU6SXNzdWU2OTE1Mzc0MjY=,959,Internals API idea: results.dicts in addition to results.rows,9599,simonw,open,0,,,,,0,2020-09-03T00:50:17Z,2020-09-03T00:50:17Z,,OWNER,,"I just wrote this code: ```python results = await database.execute(SEARCH_SQL, {""query"": query}) return [dict(r) for r in results.rows] ``` How about having `results.dicts` as a utility property that does that?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/959/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 695441530,MDU6SXNzdWU2OTU0NDE1MzA=,154,OperationalError: cannot change into wal mode from within a transaction,9599,simonw,open,0,,,,,2,2020-09-07T23:42:44Z,2020-09-07T23:47:10Z,,OWNER,,"I'm getting this error when running: sqlite-utils enable-wal beta.db `OperationalError: cannot change into wal mode from within a transaction` I'm worried that maybe that's because of this new code from #152: https://github.com/simonw/sqlite-utils/blob/deb2eb013ff85bbc828ebc244a9654f0d9c3139e/sqlite_utils/db.py#L128-L129",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/154/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 696908389,MDU6SXNzdWU2OTY5MDgzODk=,961,Verification checks for metadata.json on startup,9599,simonw,open,0,,,,,2,2020-09-09T15:21:53Z,2020-09-09T15:24:31Z,,OWNER,,"I lost a bunch of time yesterday trying to figure out why a Datasette instance wasn't starting up - it turned out it was because I had a `facets:` reference that mentioned a column that did not exist. Catching these on startup would be good.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/961/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 705840673,MDU6SXNzdWU3MDU4NDA2NzM=,972,Support faceting against arbitrary SQL queries,9599,simonw,open,0,,,,,1,2020-09-21T19:00:43Z,2021-12-15T18:02:20Z,,OWNER,,"> ... support for running facets against arbitrary custom SQL queries is half-done in that facets now execute against wrapped subqueries as-of ea66c45df96479ef66a89caa71fff1a97a862646 > > https://github.com/simonw/datasette/blob/ea66c45df96479ef66a89caa71fff1a97a862646/datasette/facets.py#L192-L200 _Originally posted by @simonw in https://github.com/simonw/datasette/issues/971#issuecomment-696307922_",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/972/reactions"", ""total_count"": 3, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 3, ""rocket"": 0, ""eyes"": 0}",, 706001517,MDU6SXNzdWU3MDYwMDE1MTc=,163,Idea: conversions= could take Python functions,9599,simonw,open,0,,,,,4,2020-09-22T00:37:12Z,2021-12-20T00:56:52Z,,OWNER,,"Right now you use `conversions=` like this: ```python db[""example""].insert({ ""name"": ""The Bigfoot Discovery Museum"" }, conversions={""name"": ""upper(?)""}) ``` How about if you could optionally provide a Python function (or a lambda) like this? ```python db[""example""].insert({ ""name"": ""The Bigfoot Discovery Museum"" }, conversions={""name"": lambda s: s.upper()}) ``` This would work by creating a random name for that function, registering it (similar to #162), executing the SQL and then un-registering the custom function at the end.",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/163/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 712202333,MDU6SXNzdWU3MTIyMDIzMzM=,982,"SQL editor should allow execution of write queries, if you have permission",9599,simonw,open,0,,,,,2,2020-09-30T19:04:35Z,2022-01-13T22:21:29Z,,OWNER,,"The `datasette-write` plugin provides this at the moment https://github.com/simonw/datasette-write - but it feels like it should be a built-in capability, protected by a default permission. UI concept: if you have write permission then the existing SQL editor gets an ""execute write"" checkbox underneath it. JavaScript can spot if you appear to be trying to execute an UPDATE or INSERT or DELETE query and check that checkbox for you. If you link to a query page with a non-SELECT then that query will be displayed in the box ready for you to POST submit it. The page will also then get ""cannot be embedded"" headers to protect against clickjacking.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/982/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 712260429,MDU6SXNzdWU3MTIyNjA0Mjk=,983,JavaScript plugin hooks mechanism similar to pluggy,9599,simonw,open,0,,,,,47,2020-09-30T20:32:43Z,2021-01-25T04:43:58Z,,OWNER,,"> It would be neat to provide a JavaScript plugin hook that plugins can use to add their own options to this menu. No idea what that would look like though. _Originally posted by @simonw in https://github.com/simonw/datasette/issues/981#issuecomment-701616922_",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/983/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 712368432,MDU6SXNzdWU3MTIzNjg0MzI=,984,Review accessibility of new column action menus,9599,simonw,open,0,,,,,1,2020-09-30T23:56:44Z,2020-10-01T00:01:36Z,,OWNER,,Feature added in #981,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/984/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 712984738,MDU6SXNzdWU3MTI5ODQ3Mzg=,987,Documented HTML hooks for JavaScript plugin authors,9599,simonw,open,0,,,,,7,2020-10-01T16:10:14Z,2021-01-25T04:00:03Z,,OWNER,,In #981 I added `data-column=` attributes to the `
` on the table page. These should become part of Datasette's documented API so JavaScript plugin authors can use them to derive things about the tables shown on a page (`datasette-cluster-map uses them as-of https://github.com/simonw/datasette-cluster-map/issues/18).,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/987/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 714377268,MDU6SXNzdWU3MTQzNzcyNjg=,991,Redesign application homepage,9599,simonw,open,0,,,,,7,2020-10-04T18:48:45Z,2021-01-26T19:06:36Z,,OWNER,,"Most Datasette instances only host a single database, but the current homepage design assumes that it should leave plenty of space for multiple databases: Reconsider this design - should the default show more information? The Covid-19 Datasette homepage looks particularly sparse I think: https://covid-19.datasettes.com/ ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/991/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 718272593,MDU6SXNzdWU3MTgyNzI1OTM=,1007,set-env and add-path commands have been deprecated,9599,simonw,open,0,,,,,1,2020-10-09T16:21:18Z,2020-10-09T16:23:51Z,,OWNER,,"https://github.blog/changelog/2020-10-01-github-actions-deprecating-set-env-and-add-path-commands/ > Starting today runner version 2.273.5 will begin to warn you if you use the `add-path` or `set-env` commands. We are monitoring telemetry for the usage of these commands and plan to fully disable them in the future.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1007/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 718540751,MDU6SXNzdWU3MTg1NDA3NTE=,1012,For 1.0 update trove classifier in setup.py,9599,simonw,open,0,,,3268330,Datasette 1.0,5,2020-10-10T05:52:08Z,2021-11-16T13:18:36Z,,OWNER,, Development Status :: 5 - Production/Stable,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1012/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 718910318,MDU6SXNzdWU3MTg5MTAzMTg=,1015,Research: could Datasette install its own plugins?,9599,simonw,open,0,,,,,1,2020-10-11T19:33:06Z,2020-10-11T19:35:04Z,,OWNER,,"It would be cool if Datasette could offer a plugin browsing interface where users could install plugins by clicking ""Install"" on them - similar to how VS Code extensions work.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1015/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 721068929,MDU6SXNzdWU3MjEwNjg5Mjk=,1020,Method for datasette.client() to forward on authentication,9599,simonw,open,0,,,,,6,2020-10-14T01:47:49Z,2020-10-19T22:45:01Z,,OWNER,,"I stumbled into this while working on Dogsheep Beta: the requests it re-dispatched through `TableView` did not carry authentication cookies, and since this was against a private instance they were thus denied. https://github.com/dogsheep/dogsheep-beta/blob/bed9df2b3ef68189e2e445427721a28f4e9b4887/dogsheep_beta/__init__.py#L223-L231 This made me think that `datasette.client.get()` (which Dogsheep Beta will start using shortly) could benefit from some kind of utility mechanism for passing through the cookies and general authenticated state from the current request.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1020/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 722816436,MDU6SXNzdWU3MjI4MTY0MzY=,186,.extract() shouldn't extract null values,9599,simonw,open,0,,,,,7,2020-10-16T02:41:08Z,2021-08-12T12:32:14Z,,OWNER,,"This almost works, but it creates a rogue `type` record with a value of None. ``` In [1]: import sqlite_utils In [2]: db = sqlite_utils.Database(memory=True) In [5]: db[""creatures""].insert_all([ {""id"": 1, ""name"": ""Simon"", ""type"": None}, {""id"": 2, ""name"": ""Natalie"", ""type"": None}, {""id"": 3, ""name"": ""Cleo"", ""type"": ""dog""}], pk=""id"") Out[5]: In [7]: db[""creatures""].extract(""type"") Out[7]:
In [8]: list(db[""creatures""].rows) Out[8]: [{'id': 1, 'name': 'Simon', 'type_id': None}, {'id': 2, 'name': 'Natalie', 'type_id': None}, {'id': 3, 'name': 'Cleo', 'type_id': 2}] In [9]: db[""type""] Out[9]:
In [10]: list(db[""type""].rows) Out[10]: [{'id': 1, 'type': None}, {'id': 2, 'type': 'dog'}] ```",140912432,sqlite-utils,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/186/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 724878151,MDU6SXNzdWU3MjQ4NzgxNTE=,1032,Bring date parsing into Datasette core,9599,simonw,open,0,,,,,8,2020-10-19T18:30:45Z,2020-10-19T19:37:55Z,,OWNER,,"Currently this is mainly handled by a plugin - https://github.com/simonw/datasette-dateutil - but I realise now that this really needs to be core functionality. See also Twitter thread: https://twitter.com/simonw/status/1318234808653213696",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1032/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 728905098,MDU6SXNzdWU3Mjg5MDUwOTg=,1048,Documentation and unit tests for urls.row() urls.row_blob() methods,9599,simonw,open,0,,,,,7,2020-10-25T00:13:53Z,2022-07-10T16:23:57Z,,OWNER,,https://github.com/simonw/datasette/blob/5db7ae3ce165ded57c7fb1cfbdb3258b1cf06c10/datasette/app.py#L1307-L1313,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1048/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 730210880,MDU6SXNzdWU3MzAyMTA4ODA=,1055,query.html and table.html should share the same table implementation,9599,simonw,open,0,,,3268330,Datasette 1.0,0,2020-10-27T07:58:21Z,2020-10-27T07:58:29Z,,OWNER,,In #998 I made a change that affected the table page but didn't affect the query page because I incorrectly assumed they shared rendering logic.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1055/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 732674148,MDU6SXNzdWU3MzI2NzQxNDg=,1062,Refactor .csv to be an output renderer - and teach register_output_renderer to stream all rows,9599,simonw,open,0,,,3268330,Datasette 1.0,5,2020-10-29T21:25:02Z,2022-09-28T14:09:54Z,,OWNER,,This can drive the upgrade of the `register_output_renderer` hook to be able to handle streaming all rows in a large query.,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1062/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 733999615,MDU6SXNzdWU3MzM5OTk2MTU=,1079,Handle long breadcrumbs better with new menu,9599,simonw,open,0,,,,,1,2020-11-01T15:57:41Z,2022-01-13T22:21:29Z,,OWNER,,"On this page when signed in as root: https://latest.datasette.io/fixtures/roadside_attraction_characteristics/1 ![EF921CB1-625F-4D04-A850-490B812A72B3](https://user-images.githubusercontent.com/9599/97807807-db0fbf80-1c17-11eb-9c77-ae5169b12c3d.jpeg) ![A49D8B76-5ACF-4F71-A8B4-21A44F5C8D51](https://user-images.githubusercontent.com/9599/97807809-dea34680-1c17-11eb-9511-a49af56a4bd2.jpeg) ",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1079/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 734777631,MDU6SXNzdWU3MzQ3Nzc2MzE=,1080,"""View all"" option for facets, to provide a (paginated) list of ALL of the facet counts plus a link to view them",9599,simonw,open,0,,,3268330,Datasette 1.0,7,2020-11-02T19:55:06Z,2022-02-04T06:25:18Z,,OWNER,,Can use `/database/-/...` namespace from #296,107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1080/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 736365306,MDU6SXNzdWU3MzYzNjUzMDY=,1083,Advanced CSV export for arbitrary queries,9599,simonw,open,0,,,,,2,2020-11-04T19:23:05Z,2021-06-17T18:12:31Z,,OWNER,,"There's no link to download the CSV file - the table page has that as an advanced export option, but this is missing from the query page.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1083/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 741231849,MDU6SXNzdWU3NDEyMzE4NDk=,1087,Idea: ?_extra=urls for getting back URLs to useful things,9599,simonw,open,0,,,,,0,2020-11-12T02:55:41Z,2021-12-15T18:06:16Z,,OWNER,,"Working on https://github.com/simonw/datasette-search-all/issues/10 made me realize that sometimes it can be difficult to calculate the URL for a database, table or row within Datasette. It would be useful to have an optional extra JSON extension (using `?_extra=` from #262) that can help with this.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1087/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 741862364,MDU6SXNzdWU3NDE4NjIzNjQ=,1090,Custom widgets for canned query forms,9599,simonw,open,0,,,,,3,2020-11-12T19:21:07Z,2021-03-27T16:25:25Z,,OWNER,,"This is an idea that was cut from the first version of writable canned queries: > I really want the option to use a `