html_url,issue_url,id,node_id,user,user_label,created_at,updated_at,author_association,body,reactions,issue,issue_label,performed_via_github_app
https://github.com/simonw/datasette/pull/2052#issuecomment-1616095810,https://api.github.com/repos/simonw/datasette/issues/2052,1616095810,IC_kwDOBm6k_c5gU6pC,15178711,asg017,2023-07-01T20:31:31Z,2023-07-01T20:31:31Z,CONTRIBUTOR,"> Just curious, is there a query that can be used to compile this programmatically, or did you identify these through memory?
I just did a github search for `user:simonw ""def extra_js_urls(""` ! Though I'm sure other plugins made by people other than Simon also exist out there https://github.com/search?q=user%3Asimonw+%22def+extra_js_urls%28%22&type=code","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1651082214,"feat: Javascript Plugin API (Custom panels, column menu items with JS actions)",
https://github.com/simonw/datasette/issues/2093#issuecomment-1613895188,https://api.github.com/repos/simonw/datasette/issues/2093,1613895188,IC_kwDOBm6k_c5gMhYU,15178711,asg017,2023-06-29T22:51:53Z,2023-06-29T22:51:53Z,CONTRIBUTOR,"I agree with not liking `metadata.json` stuff in a `datasette.*` config file. Editing description of a table/column in a file like `datasette.*` seems odd to me.
Though since plugin configuration currently lives in `metadata.json`, I think it should be removed from there and placed in `datasette.*`, at least for top-level config like `datasette-auth-github`'s config. Keeping `metadata.json` strictly for documentation/licensing/column units makes sense to me, but anything plugin related should be in some config file, like `datasette.*`.
And ya, supporting both `datasette.*` and CLI flags makes a lot of sense to me. Any `--setting` flag should override anything in `datasette.*` for easier debugging, with possibly a warning message so people don't get confused. Same with `--port` and a port defined in `datasette.*`","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1781530343,"Proposal: Combine settings, metadata, static, etc. into a single `datasette.yaml` File",
https://github.com/simonw/datasette/pull/2052#issuecomment-1548617257,https://api.github.com/repos/simonw/datasette/issues/2052,1548617257,IC_kwDOBm6k_c5cTgYp,193185,cldellow,2023-05-15T21:32:20Z,2023-05-15T21:32:20Z,CONTRIBUTOR,"> Were you picturing that the whole plugin config object could be returned as a promise, or that the individual hooks (like makeColumnActions or makeAboveTablePanelConfigs supported returning a promise of arrays instead only returning plain arrays?
The latter - that you could return a promise of arrays, so it parallels the [""await me maybe"" pattern in Datasette](https://simonwillison.net/2020/Sep/2/await-me-maybe/), where you can return either a value, a callable or an awaitable.
> I have a hunch that what you're describing might be achievable without adding Promises to the API with something
Oops, I did a poor job explaining. Yes, this would work - but it requires me to continue to communicate the column names out of band (in order to fetch the facet data per-column before registering my plugin), vs being able to re-use them from the plugin implementation.
This isn't that big of a deal - it'd be a nice ergonomic improvement, but nowhere near as a big of an improvement as having an officially sanctioned way to add stuff to the column menus in the first place.
This could also be layered on in a future commit without breaking v1 users, too, so it's not at all urgent.
> especially if those lines are encapsulated by a function we provide (maybe something that's available on the window provided by Datasette as an inline script tag
Ah, this is maybe the the key point. Since it's all hosted inside Datasette, Datasette can provide some arbitrary sugar to make it easier to work with.
My experience with async scripts in JS is that people sometimes don't understand the race conditions inherent to them. If they copy/paste from a tutorial, it does just work. But then they'll delete half the code, and by chance it still works on their machine/Datasette templates, and now someone's headed for an annoying debugging session -- maybe them, maybe someone else who tries to re-use their plugin.
Again, a fairly minor thing, though.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1651082214,"feat: Javascript Plugin API (Custom panels, column menu items with JS actions)",
https://github.com/simonw/sqlite-utils/issues/433#issuecomment-1444474487,https://api.github.com/repos/simonw/sqlite-utils/issues/433,1444474487,IC_kwDOCGYnMM5WGO53,167893,mcarpenter,2023-02-24T20:57:43Z,2023-02-24T22:22:18Z,CONTRIBUTOR,"I think I see what is happening here, although I haven't quite work out a fix yet. Usually:
* `click.progressbar.render_progress()` renders the cursor invisible on each invocation (update of the bar)
* When the progress bar goes out of scope, the `__exit()__` method is invoked, which calls `render_finish()` to make the cursor re-appear.
(See terminal escape sequences `BEFORE_BAR` and `AFTER_BAR` in click).
However the sqlite-utils `utils.file_progress` context manager wraps `click.progressbar` and yields an instance of a helper class:
``` python
@contextlib.contextmanager
def file_progress(file, silent=False, **kwargs):
...
with click.progressbar(length=file_length, **kwargs) as bar:
yield UpdateWrapper(file, bar.update)
```
The yielded `UpdateWrapper` goes out of scope quickly and `click.progressbar.__exit__()` is called. The cursor is made un-invisible. Hoewever `bar` is still live and so when the caller iterates on the yielded wrapper this invokes the bar's update method, calling `render_progress()`, each time printing the ""make cursor invisible"" escape code. The `progressbar.__exit__` function is not called again, so the cursor doesn't re-appear.
","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1239034903,CLI eats my cursor,
https://github.com/simonw/datasette/issues/1258#issuecomment-1437671409,https://api.github.com/repos/simonw/datasette/issues/1258,1437671409,IC_kwDOBm6k_c5VsR_x,2670795,brandonrobertz,2023-02-20T23:39:58Z,2023-02-20T23:39:58Z,CONTRIBUTOR,"This is pretty annoying for FTS because sqlite throws an error instead of just doing something like returning all or no results. This makes users who are unfamiliar with SQL and Datasette think the canned query page is broken and is a frequent source of confusion.
To anyone dealing with this: My solution is to modify the canned query so that it returns no results which cues people to fill in the blank parameters.
So instead of `emails_fts match escape_fts(:search))`
My canned queries now look like this:
`emails_fts match escape_fts(iif(:search=="""", ""*"", :search))`
There are no asterisks in my data so the result is always blank.
Ultimately it would be nice to be able to handle this in the metadata. Either making some named parameters required or setting some default values.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",828858421,Allow canned query params to specify default values,
https://github.com/simonw/datasette/issues/2023#issuecomment-1425974877,https://api.github.com/repos/simonw/datasette/issues/2023,1425974877,IC_kwDOBm6k_c5U_qZd,193185,cldellow,2023-02-10T15:32:41Z,2023-02-10T15:32:41Z,CONTRIBUTOR,"I think this feature was removed in Datasette 0.61 and moved to a plugin. People who want hashed URLs can use the [datasette-hashed-urls](https://docs.datasette.io/en/stable/performance.html#performance-hashed-urls) plugin to achieve the same affect.
It looks like you're trying to disable hashed urls, so I think you can just remove that config setting and things will work.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1579695809,Error: Invalid setting 'hash_urls' in settings.json in 0.64.1,
https://github.com/simonw/sqlite-utils/pull/203#issuecomment-1404070841,https://api.github.com/repos/simonw/sqlite-utils/issues/203,1404070841,IC_kwDOCGYnMM5TsGu5,536941,fgregg,2023-01-25T18:47:18Z,2023-01-25T18:47:18Z,CONTRIBUTOR,i'll adopt this PR to make the changes @simonw suggested https://github.com/simonw/sqlite-utils/pull/203#issuecomment-753567932,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",743384829,changes to allow for compound foreign keys,
https://github.com/simonw/datasette/issues/2001#issuecomment-1403084856,https://api.github.com/repos/simonw/datasette/issues/2001,1403084856,IC_kwDOBm6k_c5ToWA4,193185,cldellow,2023-01-25T04:31:02Z,2023-01-25T04:31:02Z,CONTRIBUTOR,"Aha, it's user error on my part.
Adding
```
sqlite3_db_config.argtypes = [ctypes.c_void_p, ctypes.c_int, ctypes.c_int, ctypes.c_int]
```
makes it work reliably both on the CLI and from datasette, and now I can reproduce the errors you mentioned in the issue description.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1553615704,Datasette is not compatible with SQLite's strict quoting compilation option,
https://github.com/simonw/datasette/pull/1159#issuecomment-1399589414,https://api.github.com/repos/simonw/datasette/issues/1159,1399589414,IC_kwDOBm6k_c5TbAom,193185,cldellow,2023-01-22T19:48:41Z,2023-01-22T19:48:41Z,CONTRIBUTOR,"Hey @lovasoa, I hope you don't mind - I pulled this PR into [datasette-ui-extras](https://github.com/cldellow/datasette-ui-extras), a plugin I'm making that collects UI tweaks to Datasette.
You can apply it to your own Datasette instance by running `datasette install datasette-ui-extras`","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",774332247,Improve the display of facets information,
https://github.com/simonw/datasette/pull/1893#issuecomment-1317681193,https://api.github.com/repos/simonw/datasette/issues/1893,1317681193,IC_kwDOBm6k_c5Oijgp,95570,bgrins,2022-11-16T21:19:13Z,2022-11-16T21:19:13Z,CONTRIBUTOR,"Alright, added Cmd+Enter to submit (Ctrl+Enter on Windows as well bc of using Meta-Enter on codemirror). We can make that MacOS only by changing the combo to Cmd+Enter specifically but I think it's probably fine to have both.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1450363982,"Upgrade to CodeMirror 6, add SQL autocomplete",
https://github.com/simonw/datasette/issues/1384#issuecomment-1066222323,https://api.github.com/repos/simonw/datasette/issues/1384,1066222323,IC_kwDOBm6k_c4_jULz,2670795,brandonrobertz,2022-03-14T00:36:42Z,2022-03-14T00:36:42Z,CONTRIBUTOR,"> Ah, sorry, I didn't get what you were saying you the first time. Using _metadata_local in that way makes total sense -- I agree, refreshing metadata each cell was seeming quite excessive. Now I'm on the same page! :)
All good. Report back any issues you find with this stuff. Metadata/dynamic config hasn't been tested widely outside of what I've done AFAIK. If you find a strong use case for async meta, it's going to be better to know sooner rather than later!","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",930807135,Plugin hook for dynamic metadata,
https://github.com/simonw/sqlite-utils/issues/399#issuecomment-1030740653,https://api.github.com/repos/simonw/sqlite-utils/issues/399,1030740653,IC_kwDOCGYnMM49b9qt,25778,eyeseast,2022-02-06T02:57:17Z,2022-02-06T02:57:17Z,CONTRIBUTOR,"I like the idea of having stock conversions you could import. I'd actually move them to a dedicated module (call it `sqlite_utils.conversions` or something), because it's different from other utilities. Maybe they even take configuration, or they're composable.
```python
from sqlite_utils.conversions import LongitudeLatitude
db[""places""].insert(
{
""name"": ""London"",
""lng"": -0.118092,
""lat"": 51.509865,
},
conversions={""point"": LongitudeLatitude(""lng"", ""lat"")},
)
```
I would definitely use that for every CSV I get with lat/lng columns where I actually need GeoJSON.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1124731464,"Make it easier to insert geometries, with documentation and maybe code",
https://github.com/simonw/datasette/issues/1522#issuecomment-976117989,https://api.github.com/repos/simonw/datasette/issues/1522,976117989,IC_kwDOBm6k_c46LmDl,813732,glasnt,2021-11-23T03:00:34Z,2021-11-23T03:00:34Z,CONTRIBUTOR,"I tried deploying the most recent version of the Dockerfile in this thread ([link to comment](https://github.com/simonw/datasette/issues/1522#issuecomment-974605128)), and after trying a few different different combinations, I was only successful when I used `--no-cpu-throttling` (""CPU Is always allocated"" in the UI)
Using this method, I got a very similar issue to you: The first time I'd load the site I'd get a 503. But after that first load, I didn't get the issue again. It would re-occur if the service started from cold boot.
I suspect this is a race condition in the supervisord configuration. The errors I got were the same `Connection refused: AH00957: http: attempt to connect to 127.0.0.1:8001 (127.0.0.1) failed`, and that seems to indicate that `datasette` hadn't yet started.
Looking at the order of logs getting back, the processes reported successfully completing loading after the first 503 was returned, so that makes me think race condition.
I can replicate this locally, if I `docker run` and request `localhost:5000/prefix` _before_ I get the `datasette entered RUNNING state` message. Cloud Run wakes up when requests are received, so this test would semi-replicate that, but local docker would be the equivalent of a persistent process, hence it doesn't normally exhibit the same issues.
Unfortunately supervisor/supervisor issue 122 (not linking as to prevent cross-project link spam) seems to say that dependency chaining is a feature that's been asked for for a long time, but hasn't been implemented. You could try some suggestions in that thread. ","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1058896236,Deploy a live instance of demos/apache-proxy,
https://github.com/simonw/datasette/issues/1284#issuecomment-949604763,https://api.github.com/repos/simonw/datasette/issues/1284,949604763,IC_kwDOBm6k_c44mdGb,536941,fgregg,2021-10-22T12:54:34Z,2021-10-22T12:54:34Z,CONTRIBUTOR,i'm going to take a swing at this today. we'll see.,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",845794436,Feature or Documentation Request: Individual table as home page template,
https://github.com/simonw/datasette/pull/1455#issuecomment-913001282,https://api.github.com/repos/simonw/datasette/issues/1455,913001282,IC_kwDOBm6k_c42a0tC,51016,ctb,2021-09-04T16:31:24Z,2021-09-04T16:31:24Z,CONTRIBUTOR,I love it! maybe 'researchers' instead? Or 'scientists and researchers'?,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",988325628,Add scientists to target groups,
https://github.com/simonw/datasette/issues/1286#issuecomment-815978405,https://api.github.com/repos/simonw/datasette/issues/1286,815978405,MDEyOklzc3VlQ29tbWVudDgxNTk3ODQwNQ==,192568,mroswell,2021-04-08T16:47:29Z,2021-04-10T03:59:00Z,CONTRIBUTOR,"This worked for me:
`| {{ cell.value | replace('"", ""','; ') | replace('[\""','') | replace('\""]','')}} | `
I'm sure there is a prettier (and more flexible) way, but for now, this is ever-so-much more pleasant to look at.
------ AFTER:
![]()
------ BEFORE:
![]()
(Note: I didn't figure out how to have one item have no semicolon, while multi-items close with a semicolon, but this is good enough for now. I also didn't figure out how to set up a new jinja filter. I don't want to add to /datasette/utils/__init__.py as I assume that would get overwritten when upgrading datasette. Having a starter guide on creating jinja filters in datasette would be helpful. (The jinja documentation isn't datasette-specific enough for me to quite nail it.)
","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",849220154,Better default display of arrays of items,
https://github.com/simonw/datasette/issues/1274#issuecomment-805214307,https://api.github.com/repos/simonw/datasette/issues/1274,805214307,MDEyOklzc3VlQ29tbWVudDgwNTIxNDMwNw==,7476523,bobwhitelock,2021-03-23T20:12:29Z,2021-03-23T20:12:29Z,CONTRIBUTOR,"One issue I could see with adding first class support for metadata in hjson format is that this would require adding an additional dependency to handle this, for a feature that would be unused by many users. I wonder if this could fit in as a plugin instead; if a hook existed for loading metadata (maybe as part of https://github.com/simonw/datasette/issues/860) the metadata could then come from any source, as specified by plugins, e.g. hjson, toml, XML, a database table etc.
Until/unless this exists, a few ideas for how you could add comments:
- Using YAML as you suggest.
- A common pattern is adding a `""comment""` key for comments to any object in JSON - I don't think including an unnecessary key like this would break anything in Datasette, but not certain.
- You could use another tool as a preprocessor for your JSON metadata - e.g. hjson or Jsonnet. You'd write the metadata in that format, and then convert that into JSON to actually use as your final metadata.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",839008371,Might there be some way to comment metadata.json?,
https://github.com/simonw/sqlite-utils/pull/189#issuecomment-717359145,https://api.github.com/repos/simonw/sqlite-utils/issues/189,717359145,MDEyOklzc3VlQ29tbWVudDcxNzM1OTE0NQ==,35681,adamwolf,2020-10-27T16:20:32Z,2020-10-27T16:20:32Z,CONTRIBUTOR,"No problem. I added a test. Let me know if it looks sufficient or if you want me to to tweak something!
If you don't mind, would you tag this PR as ""hacktoberfest-accepted""? If you do mind, no problem and I'm sorry for asking :) My kiddos like the shirts.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",729818242,Allow iterables other than Lists in m2m records,
https://github.com/simonw/sqlite-utils/issues/121#issuecomment-655652679,https://api.github.com/repos/simonw/sqlite-utils/issues/121,655652679,MDEyOklzc3VlQ29tbWVudDY1NTY1MjY3OQ==,79913,tsibley,2020-07-08T17:24:46Z,2020-07-08T17:24:46Z,CONTRIBUTOR,"Better transaction handling would be really great. Some of my thoughts on implementing better transaction discipline are in https://github.com/simonw/sqlite-utils/pull/118#issuecomment-655239728.
My preferences:
- Each CLI command should operate in a single transaction so that either the whole thing succeeds or the whole thing is rolled back. This avoids partially completed operations when an error occurs part way through processing. Partially completed operations are typically much harder to recovery from gracefully and may cause inconsistent data states.
- The Python API should be transaction-agnostic and rely on the caller to coordinate transactions. Only the caller knows how individual insert, create, update, etc operations/methods should be bundled conceptually into transactions. When the caller is the CLI, for example, that bundling would be at the CLI command-level. Other callers might want to break up operations into multiple transactions. Transactions are usually most useful when controlled at the application-level (like logging configuration) instead of the library level. The library needs to provide an API that's conducive to transaction use, though.
- The Python API should provide a context manager to provide consistent transactions handling with more useful defaults than Python's `sqlite3` module. The latter issues implicit `BEGIN` statements by default for most DML (`INSERT`, `UPDATE`, `DELETE`, … but not `SELECT`, I believe), but **not** DDL (`CREATE TABLE`, `DROP TABLE`, `CREATE VIEW`, …). Notably, the `sqlite3` module doesn't issue the implicit `BEGIN` until the first DML statement. It _does not_ issue it when entering the `with conn` block, like other DBAPI2-compatible modules do. The `with conn` block for `sqlite3` only arranges to commit or rollback an existing transaction when exiting. Including DDL and `SELECT`s in transactions is important for operation consistency, though. There are several existing bugs.python.org tickets about this and future changes are in the works, but sqlite-utils can provide its own API sooner. sqlite-utils's `Database` class could itself be a context manager (built on the `sqlite3` connection context manager) which additionally issues an explicit `BEGIN` when entering. This would then let Python API callers do something like:
```python
db = sqlite_utils.Database(path)
with db: # ← BEGIN issued here by Database.__enter__
db.insert(…)
db.create_view(…)
# ← COMMIT/ROLLBACK issue here by sqlite3.connection.__exit__
```","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",652961907,Improved (and better documented) support for transactions,
https://github.com/simonw/datasette/issues/394#issuecomment-602907207,https://api.github.com/repos/simonw/datasette/issues/394,602907207,MDEyOklzc3VlQ29tbWVudDYwMjkwNzIwNw==,127565,wragge,2020-03-23T23:12:18Z,2020-03-23T23:12:18Z,CONTRIBUTOR,"This would also be useful for running Datasette in Jupyter notebooks on [Binder](https://mybinder.org/). While you can use [Jupyter-server-proxy](https://github.com/jupyterhub/jupyter-server-proxy) to access Datasette on Binder, the links are broken.
Why run Datasette on Binder? I'm developing a [range of Jupyter notebooks](https://glam-workbench.github.io/) that are aimed at getting humanities researchers to explore data from libraries, archives, and museums. Many of them are aimed at researchers with limited digital skills, so being able to run examples in Binder without them installing anything is fantastic.
For example, there are a [series of notebooks](https://glam-workbench.github.io/trove-harvester/) that help researchers harvest digitised historical newspaper articles from Trove. The metadata from this harvest is saved as a CSV file that users can download. I've also provided some extra notebooks that use Pandas etc to demonstrate ways of analysing and visualising the harvested data.
But it would be really nice if, after completing a harvest, the user could spin up Datasette for some initial exploration of their harvested data without ever leaving their browser.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",396212021,base_url configuration setting,