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id | node_id | number | title | user ▲ | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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1010112818 | I_kwDOBm6k_c48NRky | 1479 | Win32 "used by another process" error with datasette publish | kirajano 76450761 | 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 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 <module> 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' ```
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 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+02:00app = "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" ```
```[+] 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 <module> 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'``` |
datasette 107914493 | 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 } |
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989109888 | MDU6SXNzdWU5ODkxMDk4ODg= | 1460 | Override column metadata with metadata from another column | MichaelTiemannOSC 72577720 | 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:
Note that @catalyst-cooperative |
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1123393829 | I_kwDODFE5qs5C9aEl | 10 | sqlite3.OperationalError: no such table: main.my_activity | glxblt14 69208826 | open | 0 | 1 | 2022-02-03T17:59:29Z | 2022-03-20T02:38:07Z | NONE | Hello,
When i run the command |
google-takeout-to-sqlite 206649770 | 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 } |
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1091257796 | I_kwDOBm6k_c5BC0XE | 1584 | give error with recursive sql | tunguyenatwork 58088336 | 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 |
datasette 107914493 | 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 } |
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1148725876 | I_kwDOBm6k_c5EeCp0 | 1640 | Support static assets where file length may change, e.g. logs | broccolihighkicks 57859326 | 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).
Thanks, I am finding Datasette very useful. |
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1077560091 | I_kwDODEm0Qs5AOkMb | 61 | Data Pull fails for "Essential" level access to the Twitter API (for Documentation) | jmnickerson05 57161638 | 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. And this is how I'm surfacing the message from utils.py: |
twitter-to-sqlite 206156866 | 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 } |
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476852861 | MDU6SXNzdWU0NzY4NTI4NjE= | 568 | Add database_color as a configurable option | LBHELewis 50906992 | 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. |
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459882902 | MDU6SXNzdWU0NTk4ODI5MDI= | 526 | Stream all results for arbitrary SQL and canned queries | matej-fr 50578294 | 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:
returns only first 1.000 records. If I do the same with the whole database i.e.
I get correctly all records. Any ideas? |
datasette 107914493 | 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 } |
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550293770 | MDU6SXNzdWU1NTAyOTM3NzA= | 658 | How do I use the app.css as style sheet? | null92 49656826 | 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! |
datasette 107914493 | 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 } |
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1822918995 | I_kwDOCGYnMM5sp4lT | 580 | Add way to export to a csv file using the Python library | kevinlinxc 44324811 | 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? |
sqlite-utils 140912432 | 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 } |
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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 | justmars 39538958 | 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 3.11.3litestream restore -o data/db.sqlite s3://mytestbucketxx/db sqlite3 data/db.sqlite SQLite version 3.41.2 2023-03-22 11:56:21Enter ".help" for usage hints.sqlite> .tables_litestream_lock _litestream_seq moviesqlite>``` However this get me an 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 <module> 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. |
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735852274 | MDU6SXNzdWU3MzU4NTIyNzQ= | 1082 | DigitalOcean buildpack memory errors for large sqlite db? | justmars 39538958 | open | 0 | 3 | 2020-11-04T06:35:32Z | 2020-11-04T19:35:44Z | NONE |
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977128935 | MDU6SXNzdWU5NzcxMjg5MzU= | 21 | Duplicate Column | FabianHertwig 32016596 | 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:
|
healthkit-to-sqlite 197882382 | 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 } |
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1698865182 | I_kwDOBm6k_c5lQqAe | 2069 | [BUG] Cannot insert new data to deployed instance | yqlbu 31861128 | open | 0 | 1 | 2023-05-07T02:59:42Z | 2023-05-07T03:17:35Z | NONE | SummaryRecently, I deployed an instance of datasette to Vercel with the following plugins:
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:
I think it is a potential bug. Reproducemetadata.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 <token>" \ '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 ``` |
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818684978 | MDU6SXNzdWU4MTg2ODQ5Nzg= | 243 | How can i use this utils to deal with fts on column meta of tables ? | svjack 27874014 | 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. |
sqlite-utils 140912432 | 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 } |
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629473827 | MDU6SXNzdWU2Mjk0NzM4Mjc= | 5 | Set up a demo | harryvederci 26745575 | 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 Keep up the good work! |
pocket-to-sqlite 213286752 | 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 } |
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539204432 | MDU6SXNzdWU1MzkyMDQ0MzI= | 70 | Implement ON DELETE and ON UPDATE actions for foreign keys | LucasElArruda 26292069 | 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! |
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1762180409 | I_kwDOBm6k_c5pCL05 | 2085 | Interactive row selection in Datasette | learning4life 24938923 | open | 0 | 0 | 2023-06-18T08:29:45Z | 2023-06-18T08:31:23Z | NONE | Simon did a excellent prototype of an interactive row selection in Datasette. I hope this functionality can be turned into a Datasette plugin. |
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797097140 | MDU6SXNzdWU3OTcwOTcxNDA= | 60 | Use Data from SQLite in other commands | daniel-butler 22578954 | 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! |
github-to-sqlite 207052882 | 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 } |
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1899310542 | I_kwDOBm6k_c5xNS3O | 2187 | Datasette for serving JSON only | geofinder 19705106 | 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 |
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1761613778 | I_kwDOBm6k_c5pABfS | 2084 | Support facets for columns that contain timestamps | devxpy 19492893 | 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... |
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1453134846 | I_kwDOCGYnMM5WnRP- | 513 | Add or document streamlined workflow for importing Datasette csv / json exports | henry501 19328961 | 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. |
sqlite-utils 140912432 | 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 } |
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834602299 | MDU6SXNzdWU4MzQ2MDIyOTk= | 1262 | Plugin hook that could support 'order by random()' for table view | henry501 19328961 | 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. |
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531502365 | MDU6SXNzdWU1MzE1MDIzNjU= | 646 | Make database level information from metadata.json available in the index.html template | lagolucas 18017473 | open | 0 | Datasette 1.0 3268330 | 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! |
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824750134 | MDU6SXNzdWU4MjQ3NTAxMzQ= | 1251 | facet option not appearing when table is big | verajosemanuel 15836677 | 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:
to no avail. is there any limit? how can I force the option "facet" to appear for big tables? |
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1900026059 | I_kwDOBm6k_c5xQBjL | 2188 | Plugin Hooks for "compile to SQL" languages | asg017 15178711 | 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:
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
|
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1865869205 | I_kwDOBm6k_c5vNueV | 2157 | Proposal: Make the `_internal` database persistent, customizable, and hidden | asg017 15178711 | open | 0 | 3 | 2023-08-24T20:54:29Z | 2023-08-31T02:45:56Z | CONTRIBUTOR | The current The current
Additionally, it would be really nice if plugins could use this
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:
Proposal
New features unlocked with thisThese features don't really need a standardized
|
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1855885427 | I_kwDOBm6k_c5unpBz | 2143 | De-tangling Metadata before Datasette 1.0 | asg017 15178711 | 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:
Possible solutionsHere's a few ideas of Datasette core changes we can make to address these problems. Re-vamp the Datasette Python metadata APIsThe Datasette object has a single The (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
|
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1821108702 | I_kwDOCGYnMM5si-ne | 579 | Special handling for SQLite column of type `JSON` | asg017 15178711 | open | 0 | 0 | 2023-07-25T20:37:23Z | 2023-07-25T20:37:23Z | CONTRIBUTOR |
Automatic NestingAccording to "Nested JSON Values", sqlite-utils will only expand JSON if the Instead,
I'm sure there's other ways |
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1783304750 | I_kwDOBm6k_c5qSxIu | 2094 | JS Plugin Hooks for the Code Editor | asg017 15178711 | 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
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: 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 |
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1781530343 | I_kwDOBm6k_c5qL_7n | 2093 | Proposal: Combine settings, metadata, static, etc. into a single `datasette.yaml` File | asg017 15178711 | 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 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.
Typically my Datasette deploys are extremely long shell commands, with multiple Proposal: Consolidate all "config" into
|
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1620515757 | I_kwDOBm6k_c5glxut | 2039 | Subtle bug with `--load-extension` and `--static` flags with absolute Windows paths with`C:\` | asg017 15178711 | 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:
This is hard because most absolute windows paths have a colon in them, like The "solution" is to use a relative path instead, but that doesn't feel that great. |
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1060631257 | I_kwDOBm6k_c4_N_LZ | 1528 | Add new `"sql_file"` key to Canned Queries in metadata? | asg017 15178711 | 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
This works fine, but for a few reasons, I usually have my canned queries already written in separate So, I'd like to see a new
Both of these would work in the exact same way, where Datasette would instead open + include A few reasons why I'd like to keep my canned queries SQL separate from metadata.yaml:
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! |
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751195017 | MDU6SXNzdWU3NTExOTUwMTc= | 1111 | Accessing a database's `.json` is slow for very large SQLite files | asg017 15178711 | 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
I suspect this is because a ```bash $ time sqlite3 out.db < <(echo "select count(*) from PageviewsHour;") 362794272 real 0m44.523s user 0m2.497s sys 0m6.703s ``` I'm using the
More than happy to debug further, or send a PR if you like one of the proposals above! |
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1727478903 | I_kwDOBm6k_c5m9zx3 | 2081 | Update Endpoints defined in metadata throws 403 Forbidden after a while | cutmasta-kun 15085007 | open | 0 | 0 | 2023-05-26T11:52:30Z | 2023-05-26T11:52:30Z | NONE | Hello. I expose an endpoint to update 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? (´。_。`) |
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1557599877 | I_kwDODFE5qs5c1xaF | 12 | location history changes | gerardrbentley 14809320 | 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"
```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
|
google-takeout-to-sqlite 206649770 | 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 } |
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1650981564 | I_kwDOJHON9s5iZ_q8 | 12 | Error running pytest | amlestin 14314871 | open | 0 | 0 | 2023-04-02T15:02:36Z | 2023-04-02T15:07:10Z | NONE |
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
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) |
apple-notes-to-sqlite 611552758 | 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 } |
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915421499 | MDU6SXNzdWU5MTU0MjE0OTk= | 267 | row.update() or row.pk | Gravitar64 12721157 | 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"] 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 |
sqlite-utils 140912432 | 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 } |
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801780625 | MDU6SXNzdWU4MDE3ODA2MjU= | 9 | SSL Error | jfeiwell 12669260 | open | 0 | 2 | 2021-02-05T02:12:56Z | 2021-02-07T18:45:04Z | NONE | Here's the error I get when running
Does this require python 3? |
pocket-to-sqlite 213286752 | 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 } |
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510076368 | MDU6SXNzdWU1MTAwNzYzNjg= | 605 | Support queries at the table level | bsilverm 12617395 | open | 0 | 2 | 2019-10-21T15:58:30Z | 2019-10-30T18:55:37Z | NONE | Per the issue described in issue #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. |
datasette 107914493 | 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 } |
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319449852 | MDU6SXNzdWUzMTk0NDk4NTI= | 247 | SQLite code decoupled from Datasette | jsancho-gpl 11912854 | 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 format. In order to accomplish that, I've started a fork for decoupling the code related with SQLite 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. |
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803356942 | MDU6SXNzdWU4MDMzNTY5NDI= | 1218 | /usr/local/opt/python3/bin/python3.6: bad interpreter: No such file or directory | robmarkcole 11855322 | 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 ``` |
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803338729 | MDU6SXNzdWU4MDMzMzg3Mjk= | 33 | photo-to-sqlite: command not found | robmarkcole 11855322 | 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 ``` |
dogsheep-photos 256834907 | 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 } |
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803333769 | MDU6SXNzdWU4MDMzMzM3Njk= | 32 | KeyError: 'Contents' on running upload | robmarkcole 11855322 | 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 ``` (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 <module> 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 |
dogsheep-photos 256834907 | 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 } |
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795367402 | MDU6SXNzdWU3OTUzNjc0MDI= | 1209 | v0.54 500 error from sql query in custom template; code worked in v0.53; found a workaround | jrdmb 11788561 | 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: 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 The code below worked perfectly in v0.53 (just the relevant sql statement part is shown; full code is here):
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 to add the database name to the sql statement:
Though this was found to work, it should not be necessary to add |
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702386948 | MDU6SXNzdWU3MDIzODY5NDg= | 159 | .delete_where() does not auto-commit (unlike .insert() or .upsert()) | spdkils 11712349 | 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? |
sqlite-utils 140912432 | 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 } |
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1955676270 | I_kwDOBm6k_c50kUBu | 2201 | Discord invite link is invalid | andrewsanchez 11708906 | 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: |
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1236693079 | I_kwDOCGYnMM5JtnBX | 432 | Support `rows_where()`, `delete_where()` etc for attached alias databases | luxint 11597658 | open | 0 | 5 | 2022-05-16T06:38:58Z | 2022-06-14T22:16:48Z | NONE | Hi, I noticed Besides, |
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1082651698 | I_kwDOCGYnMM5Ah_Qy | 358 | Support for CHECK constraints | luxint 11597658 | open | 0 | 7 | 2021-12-16T21:19:45Z | 2022-09-25T07:15:59Z | NONE | Hi, I noticed the |
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1536851861 | I_kwDOBm6k_c5bmn-V | 1994 | Stuck on loading screen | jackhagley 10913053 | 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
|
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1733198948 | I_kwDOCGYnMM5nToRk | 555 | Filter table by a large bunch of ids | redraw 10843208 | 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 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,
That kinda worked, I couldn't find an option in sqlite-utils's |
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1224112817 | I_kwDOCGYnMM5I9nqx | 430 | Document how to use `PRAGMA temp_store` to avoid errors when running VACUUM against huge databases | rayvoelker 9308268 | 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 Here's the bit that's causing the error, and the resulting error output: ```python combine these columns into 1 table "bib_properties" :best_titlebib_level_codemat_typematerial_codebest_authordb["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"} ) ``` ```pythonOperationalError Traceback (most recent call last) Input In [17], in <cell line: 7>() 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 I'm trying to think if there's a way to set the ```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())
Here's the docs on the Temporary File Storage Locations https://www.sqlite.org/tempfiles.html |
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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 | rayvoelker 9308268 | 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/bashecho "\"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" ```
Thanks again and let me know if you want me to provide anything else! |
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863884805 | MDU6SXNzdWU4NjM4ODQ4MDU= | 1304 | Document how to send multiple values for "Named parameters" | rayvoelker 9308268 | 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
Or, maybe this isn't a fully supported feature. |
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826064552 | MDU6SXNzdWU4MjYwNjQ1NTI= | 1253 | Capture "Ctrl + Enter" or "⌘ + Enter" to send SQL query? | rayvoelker 9308268 | 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. |
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1211283427 | I_kwDODFdgUs5IMrfj | 72 | feature: display progress bar when downloading multi-page responses | hydrosquall 9020979 | open | 0 | 1 | 2022-04-21T16:37:12Z | 2022-04-21T17:29:31Z | NONE | MotivationFor 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. Resources
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github-to-sqlite 207052882 | 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 } |
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1198822563 | I_kwDOBm6k_c5HdJSj | 1706 | [feature] immutable mode for a directory, not just individual sqlite file | hydrosquall 9020979 | open | 0 | 4 | 2022-04-10T00:50:57Z | 2022-12-09T19:11:40Z | CONTRIBUTOR | Motivation
ProposalImmutable flag works for both single files and directories
|
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1182227211 | I_kwDOBm6k_c5Gd1sL | 1692 | [plugins][feature request]: Support additional script tag attributes when loading custom JS | hydrosquall 9020979 | open | 0 | 2 | 2022-03-27T01:16:03Z | 2022-03-30T06:14:51Z | CONTRIBUTOR | Motivation
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, ```html <script type="module" src="/index.my-es-module-bundle.js"></script> <script src="/index.my-legacy-fallback-bundle.js" nomodule="" defer></script>``` ProposalTo achieve this, I propose additional optional properties to the API accepted by the Under this API, I'd write something like this to get the above HTML rendered in Datasette.
Resources
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1383646615 | I_kwDOCGYnMM5SeMWX | 491 | Ability to merge databases and tables | sgraaf 8904453 | 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 This could look something like this:
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! |
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1751214236 | I_kwDOC8SPRc5oYWic | 36 | Getting sqlite_master may not be modified when creating dogsheep index | khushmeeet 8711912 | open | 0 | 0 | 2023-06-11T03:21:53Z | 2023-06-11T03:21:53Z | NONE | When creating a
Command I ran to get this error
Dogsheep version
Python version
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1646068413 | I_kwDOBm6k_c5iHQK9 | 2048 | Test failures encountered while packaging for GNU Guix | Apteryks 8332263 | open | 0 | 0 | 2023-03-29T15:36:54Z | 2023-03-29T15:36:54Z | NONE | Hello, While reviewing a packaged submitted to Guix to add app_client = <datasette.utils.testing.TestClient object at 0x7fffef099be0>
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:701: AssertionError ----------------------------- Captured stderr call ----------------------------- ERROR: conn=<sqlite3.Connection object at 0x7fffeedfe5d0>, 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 = <datasette.utils.testing.TestClient object at 0x7fffef3416a0>
/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'
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_api.py:983: AssertionError ___ testtilde_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'
/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 = <datasette.utils.testing.TestClient object at 0x7fffef11d730> path = '/searchable.json'
/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 = <httpx.AsyncClient object at 0x7fffef11d940> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database/searchable%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E2Ejson')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/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 = <datasette.utils.testing.TestClient object at 0x7fffef085a90> path = '.json'
/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 = <httpx.AsyncClient object at 0x7fffecd99ca0> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E2Ejson')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/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 = <datasette.utils.testing.TestClient object at 0x7fffeeab4c70> path = '/searchable_view'
/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 = <httpx.AsyncClient object at 0x7fffec5b3580> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database/searchable_view')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/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 = <datasette.utils.testing.TestClient object at 0x7fffef085be0> path = '/'
/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 = <httpx.AsyncClient object at 0x7fffec5f1370> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database/')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/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 = <datasette.utils.testing.TestClient object at 0x7fffef099f10> path = '/searchable'
/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 = <httpx.AsyncClient object at 0x7fffecd8c790> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database/searchable')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/gnu/store/bj5lb299rfb4cbbq5kczq9imdk9a7y64-python-httpx-0.23.0/lib/python3.9/site-packages/httpx/_client.py:1672: TooManyRedirects __ testdatabase_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 = <datasette.utils.testing.TestClient object at 0x7fffef341520> path = '/searchable_view.json'
/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 = <httpx.AsyncClient object at 0x7fffef085460> request = <Request('GET', 'http://localhost/extra%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E20database/searchable_view%7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E7E2Ejson')> follow_redirects = True history = [<Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, <Response [302 Found]>, ...]
/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'
/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'
/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 = <datasette.utils.testing.TestClient object at 0x7fffec2d37f0> path = '/fixtures/compound_primary_key/a~2Fb,~2Ec~2Dd' expected = [['<td class="col-pk1 type-str">a/b</td>', '<td class="col-pk2 type-str">.c-d</td>', '<td class="col-content type-str">c</td>']]
/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 = <datasette.utils.testing.TestClient object at 0x7fffd4743fa0> path = '/fixtures/table~2Fwith~2Fslashes~2Ecsv' expected_classes = ['table', 'db-fixtures', 'table-tablewithslashescsv-fa7563']
/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 = <datasette.utils.testing.TestClient object at 0x7fffd4743fa0> path = '/fixtures/table~2Fwith~2Fslashes~2Ecsv' expected_considered = 'table-fixtures-tablewithslashescsv-fa7563.html, *table.html'
/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 = <datasette.utils.testing.TestClient object at 0x7fffecd9fac0> path = '/fixtures/table~2Fwith~2Fslashes~2Ecsv' expected = 'http://localhost/fixtures/table~2Fwith~2Fslashes~2Ecsv.json'
/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 = <datasette.utils.testing.TestClient object at 0x7fffec5952e0> 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'
/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 = <datasette.utils.testing.TestClient object at 0x7fffec0860a0>
/tmp/guix-build-datasette-0.64.2.drv-0/source/tests/test_table_api.py:141: AssertionError ___ testcustom_query_with_unicode_characters _____ [gw8] linux -- Python 3.9.9 /gnu/store/slsh0qjv5j68xda2bb6h8gsxwyi1j25a-python-wrapper-3.9.9/bin/python app_client = <datasette.utils.testing.TestClient object at 0x7fffec1cda90>
/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 = <json.decoder.JSONDecoder object at 0x7ffff7479760>, s = '', idx = 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 = <datasette.utils.testing.TestClient object at 0x7fffd470bf10> path = '/fixtures/searchable.json?_search=te+AND+do&_searchmode=raw' expected_rows = [[1, 'barry cat', 'terry dog', 'panther'], [2, 'terry dog', 'sara weasel', 'puma']]
/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']]
/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']]
/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
Thank you! |
datasette 107914493 | 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 } |
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457147936 | MDU6SXNzdWU0NTcxNDc5MzY= | 512 | "about" parameter in metadata does not appear when alone | chrismp 7936571 | 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.
The text in Is this intended? |
datasette 107914493 | 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 } |
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451585764 | MDU6SXNzdWU0NTE1ODU3NjQ= | 499 | Accessibility for non-techie newsies? | chrismp 7936571 | 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? |
datasette 107914493 | 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 } |
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1393202060 | I_kwDOCGYnMM5TCpOM | 496 | devrel/python api: Pylance type hinting | chapmanjacobd 7908073 | open | 0 | 4 | 2022-10-01T03:03:34Z | 2023-05-03T05:53:27Z | CONTRIBUTOR | Pylance is generally pretty good at figuring out stuff but For example:
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
|
sqlite-utils 140912432 | 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 } |
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1355193529 | I_kwDOCGYnMM5Qxpy5 | 479 | OperationalError: cannot VACUUM from within a transaction | chapmanjacobd 7908073 | open | 0 | 0 | 2022-08-30T05:34:24Z | 2022-08-30T05:34:24Z | CONTRIBUTOR | Maybe when calling ``` 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 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. 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 Related to https://github.com/simonw/sqlite-utils/issues/121 |
sqlite-utils 140912432 | 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 } |
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697162939 | MDU6SXNzdWU2OTcxNjI5Mzk= | 20 | Add more tags so people can find your project. | ran88dom99 7902810 | 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 |
dogsheep-beta 197431109 | 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 } |
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1977726056 | I_kwDOBm6k_c514bRo | 2203 | custom plugin not seen as sql function | LyzardKing 7113541 | 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:
Since the jellyfish plugin doesn't do anything more complex, I'm wondering if there is some other kind of issue with my setup. |
datasette 107914493 | 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 } |
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814595021 | MDU6SXNzdWU4MTQ1OTUwMjE= | 1241 | Share button for copying current URL | Kabouik 7107523 | open | 0 | 6 | 2021-02-23T15:55:40Z | 2023-08-24T20:09:52Z | NONE | I use datasette in an 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? |
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811054000 | MDU6SXNzdWU4MTEwNTQwMDA= | 1230 | Vega charts are plotted only for rows on the visible page, cluster maps only for rows in the remaining pages | Kabouik 7107523 | 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. So I guess this issue only is about the Vega charts. |
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1129052172 | I_kwDOBm6k_c5DS_gM | 1633 | base_url or prefix does not work with _exact match | henrikek 6613091 | 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. And the result is: If I add the marked row to url_builder.py it seams to work: |
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1816830546 | I_kwDODEm0Qs5sSqJS | 73 | Twitter v1 API shutdown | david-perez 6341745 | 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:
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. Unfortunately retrieving likes using the v2 API is not part of their free plan. 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! |
twitter-to-sqlite 206156866 | 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 } |
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1515883470 | I_kwDOC8tyDs5aWovO | 24 | DOC: xml.etree.ElementTree.ParseError due to healthkit version 12 | mmngreco 6231413 | 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
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:
|
healthkit-to-sqlite 197882382 | 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 } |
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802513359 | MDU6SXNzdWU4MDI1MTMzNTk= | 1217 | Possible to deploy as a python app (for Rstudio connect server)? | plpxsk 6165713 | open | 0 | 4 | 2021-02-05T22:21:24Z | 2022-11-04T11:37:52Z | NONE | Is it possible to deploy a In my enterprise, I have option to deploy python apps via Rstudio Connect, and I would like to publish a I welcome any pointers to converting |
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1592327343 | I_kwDOBm6k_c5e6Pyv | 2029 | Sorry Simon, didn't know how else to contact you | llchristopherson 5804626 | 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 |
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860722711 | MDU6SXNzdWU4NjA3MjI3MTE= | 1301 | Publishing to cloudrun with immutable mode? | louispotok 5413548 | 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
However, running When I just |
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870946764 | MDU6SXNzdWU4NzA5NDY3NjQ= | 1312 | how to query many-to-many relationship via json API? | bram2000 5268174 | 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:
the 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 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? |
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1446657889 | I_kwDOBm6k_c5WOj9h | 1885 | Integrate inside GUI app (tkinter) | dmalves 5115787 | 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? |
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1978603203 | I_kwDOCGYnMM517xbD | 602 | `sqlite-utils transform` removes the `AUTOINCREMENT` keyword | ArsTapatun 4472046 | open | 0 | 0 | 2023-11-06T08:48:43Z | 2023-11-06T08:48:43Z | NONE | ContextWe ran into this bug randomly, noticing that deleted Reproducible exampleOriginal 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 ); ``` |
sqlite-utils 140912432 | 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 } |
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1943259395 | I_kwDOEhK-wc5z08kD | 16 | time data '2014-11-21T11:44:12.000Z' does not match format '%Y%m%dT%H%M%SZ' | linonetwo 3746270 | open | 0 | 0 | 2023-10-14T13:24:39Z | 2023-10-14T13:24:39Z | NONE |
enex is exported by evernote mac client |
evernote-to-sqlite 303218369 | 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 } |
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1794097871 | I_kwDOBm6k_c5q78LP | 2095 | Introduce "dark mode" CSS | jamietanna 3315059 | open | 0 | 0 | 2023-07-07T19:15:58Z | 2023-07-07T19:15:58Z | NONE | Using the CSS media query |
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756875827 | MDU6SXNzdWU3NTY4NzU4Mjc= | 1129 | Fix footer to the bottom of the page | abdusco 3243482 | 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. This can be fixed using flexbox. ```css body { min-height: 100vh; display: flex; flex-direction: column; } .content { flex-grow: 1; } ``` |
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642572841 | MDU6SXNzdWU2NDI1NzI4NDE= | 859 | Database page loads too slowly with many large tables (due to table counts) | abdusco 3243482 | 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 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 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" ] } } |
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791237799 | MDU6SXNzdWU3OTEyMzc3OTk= | 1196 | Access Denied Error in Windows | QAInsights 2826376 | 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 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 PS: localhost is working fine. |
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1363244199 | I_kwDODFdgUs5RQXSn | 75 | Fetch repos doesn't support organisations | OverkillGuy 2757699 | 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):
Let's add support for organisations repo scraping. |
github-to-sqlite 207052882 | 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 } |
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927385540 | MDU6SXNzdWU5MjczODU1NDA= | 8 | any guidance / experience on imessage-to-sqlite ? | Casyfill 2675621 | open | 0 | 0 | 2021-06-22T15:46:16Z | 2021-06-22T15:46:16Z | NONE | dogsheep.github.io 214746582 | 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 } |
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1811824307 | I_kwDOBm6k_c5r_j6z | 2105 | When reverse proxying datasette with nginx an URL element gets erronously added | aki-k 2235371 | 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/; }
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. |
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617323873 | MDU6SXNzdWU2MTczMjM4NzM= | 766 | Enable wildcard-searches by default | clausjuhl 2181410 | 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://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 |
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612382643 | MDU6SXNzdWU2MTIzODI2NDM= | 758 | Question: Access to immutable database-path | clausjuhl 2181410 | 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 ( |
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1181037277 | I_kwDOBm6k_c5GZTLd | 1686 | heroku bails if app name specifed in datasette publish is the same as existing app | tlongers 2115933 | open | 0 | 0 | 2022-03-25T17:10:34Z | 2022-03-25T17:10:34Z | NONE | Seem that
The resulting error has the below traceback:
It's a solid failsafe, but does |
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1754174496 | I_kwDOCGYnMM5ojpQg | 558 | Ability to define unique columns when creating a table | aguinane 1910303 | 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.
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sqlite-utils 140912432 | 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 } |
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1347717749 | I_kwDOBm6k_c5QVIp1 | 1791 | Updating metadata.json on Datasette for MacOS | ment4list 1780782 | open | 0 | 1 | 2022-08-23T10:41:16Z | 2022-08-23T13:29:51Z | NONE | I've installed Datasette for Mac as per the documentation and it's working great! However, I'm not sure how to go about adding something like "Canned Queries" or utilising other advanced features or settings by manipulating the 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 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! |
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1205867842 | I_kwDODtX3eM5H4BVC | 4 | Retrieve the top-level story for a comment | telotortium 1755789 | 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 |
hacker-news-to-sqlite 248903544 | 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 } |
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1920416843 | I_kwDOCGYnMM5ydzxL | 597 | sqlite-utils insert-files should be able to convert fields | grimnight 1737541 | open | 0 | 0 | 2023-09-30T22:20:47Z | 2023-09-30T22:20:47Z | NONE | Currently using both ```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 ``` |
sqlite-utils 140912432 | 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 } |
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1063982712 | I_kwDODEm0Qs4_axZ4 | 60 | Execution on Windows | bernard01 1733616 | 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? |
twitter-to-sqlite 206156866 | 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 } |
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919822817 | MDU6SXNzdWU5MTk4MjI4MTc= | 1376 | Official Datasette Docker image should use SQLite >= 3.31.0 (for generated columns) | jcgregorio 1726460 | 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:
I have confirmed that the downloaded ``` [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> ``` |
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1824457306 | I_kwDOBm6k_c5svwJa | 2122 | Parameters on canned queries: fixed or query-generated list? | meowcat 1563881 | 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.)
|
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1577548579 | I_kwDOBm6k_c5eB3sj | 2021 | Docker images for 1.0 alphas? | meowcat 1563881 | 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?) |
datasette 107914493 | 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 } |
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982803408 | MDU6SXNzdWU5ODI4MDM0MDg= | 1454 | Feature Request: Publish to IPFS | blitmap 1560788 | 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 ~ |
datasette 107914493 | 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 } |
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1280799259 | I_kwDOBm6k_c5MV3Ib | 1761 | ensure_ascii=False | mustafa0x 1473102 | 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 |
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1365741480 | I_kwDOBm6k_c5RZ4-o | 1806 | UX to recover from Error 500: "You can only execute one statement at a time." | jieter 1470389 | 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:
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. |
datasette 107914493 | 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 } |
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