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 1811824307,I_kwDOBm6k_c5r_j6z,2105,When reverse proxying datasette with nginx an URL element gets erronously added,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/; } location /datasette-llm/ { proxy_set_header Upgrade $http_upgrade; proxy_set_header Connection ""Upgrade""; proxy_http_version 1.1; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header X-Forwarded-Proto https; proxy_set_header X-Forwarded-Host $http_host; proxy_set_header Host $host; proxy_max_temp_file_size 0; proxy_pass http://127.0.0.1:8001/datasette-llm/; proxy_redirect http:// https://; proxy_buffering off; proxy_request_buffering off; proxy_set_header Origin ''; client_max_body_size 0; auth_basic ""datasette-llm""; auth_basic_user_file /etc/nginx/custom-userdb; } ``` Then I start datasette with this command: ``` datasette serve --setting base_url /datasette-llm/ $(llm logs path) ``` Everything else works right, except the links in ""This data as json, CSV"". They get an extra URL element ""datasette-llm"" like this: https://192.168.1.3:5432/datasette-llm/datasette-llm/logs.json?sql=select+*+from+_llm_migrations https://192.168.1.3:5432/datasette-llm/datasette-llm/logs.csv?sql=select+*+from+_llm_migrations&_size=max When I remove that extra ""datasette-llm"" from the URL, those links work too.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2105/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1531991339,I_kwDOBm6k_c5bUFUr,1989,Suggestion: Hiding columns,116795,open,0,,,3,2023-01-13T09:33:32Z,2023-03-31T06:18:05Z,,NONE,,As there's the possibility of [hiding tables](https://docs.datasette.io/en/stable/metadata.html#hiding-tables) - I've run into the **need of hiding specific columns** - data that's either not relevant for public or can't be shown due to privacy reasons. ,107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1989/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1353074021,I_kwDOCGYnMM5QpkVl,474,Add an option for specifying column names when inserting CSV data,14294,open,0,,,3,2022-08-27T15:29:59Z,2022-08-31T03:42:36Z,,NONE,,"https://sqlite-utils.datasette.io/en/stable/cli.html#csv-files-without-a-header-row > The first row of any CSV or TSV file is expected to contain the names of the columns in that file. > If your file does not include this row, you can use the `--no-headers` option to specify that the tool should not use that fist row as headers. > If you do this, the table will be created with column names called `untitled_1` and `untitled_2` and so on. You can then rename them using the `sqlite-utils transform ... --rename` command. It would be nice to be able to specify the column names when importing CSV/TSV without a header row, via an extra command line option. (renaming a column of a large table can take a long time, which makes it an inconvenient workaround)",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/474/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1227571375,I_kwDOCGYnMM5JK0Cv,431,Allow making m2m relation of a table to itself,738408,open,0,,,3,2022-05-06T08:30:43Z,2022-06-23T14:12:51Z,,NONE,,"I am building a database, in which one of the tables has a many-to-many relationship to itself. As far as I can see, this is not (yet) possible using `.m2m()` in sqlite-utils. This may be a bit of a niche use case, so feel free to close this issue if you feel it would introduce too much complexity compared to the benefits. Example: suppose I have a table of people, and I want to store the information that John and Mary have two children, Michael and Suzy. It would be neat if I could do something like this: ```python from sqlite_utils import Database db = Database(memory=True) db[""people""].insert({""name"": ""John""}, pk=""name"").m2m( ""people"", [{""name"": ""Michael""}, {""name"": ""Suzy""}], m2m_table=""parent_child"", pk=""name"" ) db[""people""].insert({""name"": ""Mary""}, pk=""name"").m2m( ""people"", [{""name"": ""Michael""}, {""name"": ""Suzy""}], m2m_table=""parent_child"", pk=""name"" ) ``` But if I do that, the many-to-many table `parent_child` has only one column: ``` CREATE TABLE [parent_child] ( [people_id] TEXT REFERENCES [people]([name]), PRIMARY KEY ([people_id], [people_id]) ) ``` This could be solved by adding one or two keyword_arguments to `.m2m()`, e.g. `.m2m(..., left_name=None, right_name=None)` or `.m2m(..., names=(None, None))`.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/431/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 531502365,MDU6SXNzdWU1MzE1MDIzNjU=,646,Make database level information from metadata.json available in the index.html template,18017473,open,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!",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/646/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 803333769,MDU6SXNzdWU4MDMzMzM3Njk=,32,KeyError: 'Contents' on running upload,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 `dogsheep-photos s3-auth`: ``` (venv) (base) Robins-MacBook:datasette robin$ dogsheep-photos upload photos.db ~/Pictures/Photos\ /Users/robin/Pictures/Library.photoslibrary --dry-run Fetching existing keys from S3... Traceback (most recent call last): File ""/Users/robin/datasette/venv/bin/dogsheep-photos"", line 8, in sys.exit(cli()) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py"", line 782, in main rv = self.invoke(ctx) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py"", line 610, in invoke return callback(*args, **kwargs) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/dogsheep_photos/cli.py"", line 96, in upload key.split(""."")[0] for key in get_all_keys(client, creds[""photos_s3_bucket""]) File ""/Users/robin/datasette/venv/lib/python3.8/site-packages/dogsheep_photos/utils.py"", line 46, in get_all_keys for row in page[""Contents""]: KeyError: 'Contents' ``` Possibly since the bucket is in `EU (London) eu-west-2` and this into is not requested?",256834907,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}",, 919822817,MDU6SXNzdWU5MTk4MjI4MTc=,1376,Official Datasette Docker image should use SQLite >= 3.31.0 (for generated columns),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: ``` $ docker run -p 8001:8001 -v `pwd`:/mnt datasetteproject/datasette datasette -p 8001 -h 0.0.0.0 /mnt/fixtures.db Traceback (most recent call last): File ""/usr/local/bin/datasette"", line 8, in sys.exit(cli()) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 829, in __call__ return self.main(*args, **kwargs) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 782, in main rv = self.invoke(ctx) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/usr/local/lib/python3.9/site-packages/click/core.py"", line 610, in invoke return callback(*args, **kwargs) File ""/usr/local/lib/python3.9/site-packages/datasette/cli.py"", line 544, in serve asyncio.get_event_loop().run_until_complete(check_databases(ds)) File ""/usr/local/lib/python3.9/asyncio/base_events.py"", line 642, in run_until_complete return future.result() File ""/usr/local/lib/python3.9/site-packages/datasette/cli.py"", line 584, in check_databases await database.execute_fn(check_connection) File ""/usr/local/lib/python3.9/site-packages/datasette/database.py"", line 155, in execute_fn return await asyncio.get_event_loop().run_in_executor( File ""/usr/local/lib/python3.9/concurrent/futures/thread.py"", line 52, in run result = self.fn(*self.args, **self.kwargs) File ""/usr/local/lib/python3.9/site-packages/datasette/database.py"", line 153, in in_thread return fn(conn) File ""/usr/local/lib/python3.9/site-packages/datasette/utils/__init__.py"", line 892, in check_connection for r in conn.execute( sqlite3.DatabaseError: malformed database schema (generated_columns) - near ""AS"": syntax error ``` I have confirmed that the downloaded `fixtures.db` database is fine: ``` [skia-public] jcgregorio@jcgregorio840 ~/Downloads $ sqlite3 fixtures.db SQLite version 3.34.1 2021-01-20 14:10:07 Enter "".help"" for usage hints. sqlite> pragma integrity_check; ok sqlite> ```",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1376/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 834602299,MDU6SXNzdWU4MzQ2MDIyOTk=,1262,Plugin hook that could support 'order by random()' for table view,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.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1262/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 735852274,MDU6SXNzdWU3MzU4NTIyNzQ=,1082,DigitalOcean buildpack memory errors for large sqlite db?,39538958,open,0,,,3,2020-11-04T06:35:32Z,2020-11-04T19:35:44Z,,NONE,,"1. Have a sqlite db stored in Dropbox 2. Previously tried the Digital Ocean build pack minimal approach (e.g. Procfile, requirements.txt, bin/post_compile) 3. bin/post_compile with wget from Dropbox 4. download of large sqlite db is successful 5. log reveals that when building Docker container, Digital Ocean runs out of memory for 5gb+ sqlite db but works fine for 2gb+ sqlite db",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1082/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 639542974,MDU6SXNzdWU2Mzk1NDI5NzQ=,47,Fall back to FTS4 if FTS5 is not available,73579,open,0,,,3,2020-06-16T10:11:23Z,2020-06-17T20:13:48Z,,NONE,,"got this with version 0.21.1 from pypi. twitter-to-sqlite auth worked but then ""twitter-to-sqlite user-timeline USER.db"" produced a tracekback ending in ""no such module: FTS5"". ",206156866,issue,,,"{""url"": ""https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/47/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 457147936,MDU6SXNzdWU0NTcxNDc5MzY=,512,"""about"" parameter in metadata does not appear when alone",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. ``` ""Records-requests"": { ""tables"": { ""Some table"": { ""about"": ""This table has data."" } } } ``` The text in `about` does not show up when I publish the data. But it shows up after I add a `""source""` parameter in the metadata. Is this intended?",107914493,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}",, 451585764,MDU6SXNzdWU0NTE1ODU3NjQ=,499,Accessibility for non-techie newsies? ,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? ",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}",,