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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1266207143 | I_kwDOBm6k_c5LeMmn | 1755 | Gunicorn | ar-jan 1176293 | open | 0 | 0 | 2022-06-09T14:18:46Z | 2022-06-09T14:18:46Z | NONE | I've read issue #514 which resulted in running Datasette via systemd as recommended approach. We've also adopted this (for now), but I notice that Uvicorn [says the following](https://www.uvicorn.org/#running-with-gunicorn): > Uvicorn includes a Gunicorn worker class allowing you to run ASGI applications, with all of Uvicorn's performance benefits, while also giving you Gunicorn's fully-featured process management. > > This allows you to increase or decrease the number of worker processes on the fly, restart worker processes gracefully, or perform server upgrades without downtime. > > For production deployments we recommend using gunicorn with the uvicorn worker class. We usually deploy Python applications via Gunicorn for these process management features (e.g. `--daemon` and `--pid`). Is this something that would/could work with Datasette as well? | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1755/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | ||||||||
| 1434911255 | I_kwDOCGYnMM5VhwIX | 510 | Cannot enable FTS5 despite it being available | ar-jan 1176293 | closed | 0 | 3 | 2022-11-03T16:03:49Z | 2022-11-18T18:37:52Z | 2022-11-17T10:36:28Z | NONE | When I do `sqlite-utils enable-fts my.db table_name column_name` (with or without `--fts5`), I get an FTS4 virtual table instead of the expected FTS5. FTS5 is however available and Python/SQLite versions do not seem to be the issue. I can manually create the FTS5 virtual table, and then Datasette also works with it from this same Python environment. `>>> sqlite3.version` `2.6.0` `>>> sqlite3.sqlite_version` `3.39.4` `PRAGMA compile_options;` includes `ENABLE_FTS5`. `sqlite-utils, version 3.30`. Any ideas what's happening and how to fix? | sqlite-utils 140912432 | issue | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/510/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
| 1930008379 | I_kwDOBm6k_c5zCZc7 | 2197 | click-default-group-wheel dependency conflict | ar-jan 1176293 | closed | 0 | 3 | 2023-10-06T11:49:20Z | 2023-10-12T21:53:17Z | 2023-10-12T21:53:17Z | NONE | I upgraded my dependencies, then ran into this problem running `datasette inspect`: > env/lib/python3.9/site-packages/datasette/cli.py", line 6, in <module> > from click_default_group import DefaultGroup > ModuleNotFoundError: No module named 'click_default_group' Turns out the released version of datasette still depends on `click-default-group-wheel`, so `click-default-group` doesn't get installed/recognized: ``` $ virtualenv venv $ source venv/bin/activate $ pip install datasette $ pip list | grep click-default-group click-default-group 1.2.4 click-default-group-wheel 1.2.3 $ python -c "from click_default_group import DefaultGroup" Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'click_default_group' $ pip install --force-reinstall click-default-group ... ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. datasette 0.64.4 requires click-default-group-wheel>=1.2.2, which is not installed. Successfully installed click-8.1.7 click-default-group-1.2.4 ``` | datasette 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/2197/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed |
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