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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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730210880 | MDU6SXNzdWU3MzAyMTA4ODA= | 1055 | query.html and table.html should share the same table implementation | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 0 | 2020-10-27T07:58:21Z | 2020-10-27T07:58:29Z | OWNER | In #998 I made a change that affected the table page but didn't affect the query page because I incorrectly assumed they shared rendering logic. |
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721068929 | MDU6SXNzdWU3MjEwNjg5Mjk= | 1020 | Method for datasette.client() to forward on authentication | simonw 9599 | open | 0 | 6 | 2020-10-14T01:47:49Z | 2020-10-19T22:45:01Z | OWNER | I stumbled into this while working on Dogsheep Beta: the requests it re-dispatched through https://github.com/dogsheep/dogsheep-beta/blob/bed9df2b3ef68189e2e445427721a28f4e9b4887/dogsheep_beta/init.py#L223-L231 This made me think that |
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724878151 | MDU6SXNzdWU3MjQ4NzgxNTE= | 1032 | Bring date parsing into Datasette core | simonw 9599 | open | 0 | 8 | 2020-10-19T18:30:45Z | 2020-10-19T19:37:55Z | OWNER | Currently this is mainly handled by a plugin - https://github.com/simonw/datasette-dateutil - but I realise now that this really needs to be core functionality. See also Twitter thread: https://twitter.com/simonw/status/1318234808653213696 |
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723982480 | MDExOlB1bGxSZXF1ZXN0NTA1NDUzOTAw | 1030 | Make `package` command deal with a configuration directory argument | frankier 299380 | open | 0 | 1 | 2020-10-18T11:07:02Z | 2020-10-19T08:01:51Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/1030 | Currently if we run |
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703218756 | MDU6SXNzdWU3MDMyMTg3NTY= | 50 | Commands for making authenticated API calls | simonw 9599 | open | 0 | 7 | 2020-09-17T02:39:07Z | 2020-10-19T05:01:29Z | MEMBER | Similar to |
github-to-sqlite 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/50/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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718938889 | MDU6SXNzdWU3MTg5Mzg4ODk= | 5 | Figure out how to display images from <en-media> tags inline in Datasette | simonw 9599 | open | 0 | 6 | 2020-10-11T22:17:03Z | 2020-10-16T20:16:28Z | MEMBER | Relates to #1. Evernote XML looks like this: ```xml <en-note>
This note includes two images.
The Python logo
<en-media hash="61098c2c541de7f0a907c301dd6542da" type="image/svg+xml" width="125"/>
The Evernote logo
<en-media hash="91bd26175acac0b2ffdb6efac199f8ca" type="image/svg+xml" width="125"/>
</en-note> ``` That hash is the md5 we use to store resources. It should be possible to turn these into embedded image tags, especially if done in conjunction with the https://github.com/simonw/datasette-media plugin. |
evernote-to-sqlite 303218369 | issue | { "url": "https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/5/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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723499985 | MDExOlB1bGxSZXF1ZXN0NTA1MDc2NDE4 | 5 | Add fitbit-to-sqlite | mrphil007 4632208 | open | 0 | 0 | 2020-10-16T20:04:05Z | 2020-10-16T20:04:05Z | FIRST_TIME_CONTRIBUTOR | dogsheep/dogsheep.github.io/pulls/5 | dogsheep.github.io 214746582 | pull | { "url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/5/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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472115381 | MDU6SXNzdWU0NzIxMTUzODE= | 49 | extracts= should support multiple-column extracts | simonw 9599 | open | 0 | 10 | 2019-07-24T07:06:41Z | 2020-10-16T19:18:19Z | OWNER | Lookup tables can be constructed on compound columns, but the Right now extracts can be defined in two ways: ```python Extract these columns into tables with the same name:dogs = db.table("dogs", extracts=["breed", "most_recent_trophy"]) Same as above but with custom table names:dogs = db.table("dogs", extracts={"breed": "Breeds", "most_recent_trophy": "Trophies"}) ``` Need some kind of syntax for much more complicated extractions, like when two columns (say "source" and "source_version") are extracted into a single table. |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/49/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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573578548 | MDU6SXNzdWU1NzM1Nzg1NDg= | 89 | Ability to customize columns used by extracts= feature | simonw 9599 | open | 0 | 3 | 2020-03-01T16:54:48Z | 2020-10-16T19:17:50Z | OWNER | @simonw any thoughts on allow extracts to specify the lookup column name? If I'm understanding the documentation right, Initial thought on how to do this would be to allow the dictionary value to be a tuple of table name column pair... so:
I haven't dug too much into the existing code yet, but does this make sense? Worth doing? Originally posted by @chrishas35 in https://github.com/simonw/sqlite-utils/issues/46#issuecomment-592999503 |
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718934942 | MDU6SXNzdWU3MTg5MzQ5NDI= | 1 | Documentation on how to use this with Datasette | simonw 9599 | open | 0 | 1 | 2020-10-11T21:56:27Z | 2020-10-11T22:14:00Z | MEMBER | In particular how to use |
evernote-to-sqlite 303218369 | issue | { "url": "https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/1/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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718910318 | MDU6SXNzdWU3MTg5MTAzMTg= | 1015 | Research: could Datasette install its own plugins? | simonw 9599 | open | 0 | 1 | 2020-10-11T19:33:06Z | 2020-10-11T19:35:04Z | OWNER | It would be cool if Datasette could offer a plugin browsing interface where users could install plugins by clicking "Install" on them - similar to how VS Code extensions work. |
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628572716 | MDU6SXNzdWU2Mjg1NzI3MTY= | 791 | Tutorial: building a something-interesting with writable canned queries | simonw 9599 | open | 0 | 2 | 2020-06-01T16:32:05Z | 2020-10-10T23:34:42Z | OWNER | Initial idea: TODO list, as a tutorial for #698 writable canned queries. |
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718238967 | MDU6SXNzdWU3MTgyMzg5Njc= | 1003 | from_json jinja2 filter | mhalle 649467 | open | 0 | 4 | 2020-10-09T15:30:58Z | 2020-10-09T17:17:07Z | NONE | When JSON fields are rendered in a jinja2 template, it is handy to be able to manipulate them as data (e.g., iterate over an array of values). Ansible has a "from_json" function, which just called json.loads. It's a trivial as a datasette plugin, but it seems generally useful. Does it makes sense to add it directly into the app? |
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718272593 | MDU6SXNzdWU3MTgyNzI1OTM= | 1007 | set-env and add-path commands have been deprecated | simonw 9599 | open | 0 | 1 | 2020-10-09T16:21:18Z | 2020-10-09T16:23:51Z | OWNER | https://github.blog/changelog/2020-10-01-github-actions-deprecating-set-env-and-add-path-commands/
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626211658 | MDU6SXNzdWU2MjYyMTE2NTg= | 778 | Ability to configure keyset pagination for views and queries | simonw 9599 | open | 0 | 1 | 2020-05-28T04:48:56Z | 2020-10-02T02:26:25Z | OWNER | Currently views offer pagination, but it uses offset/limit - e.g. https://latest.datasette.io/fixtures/paginated_view?_next=100 This means pagination will perform poorly on deeper pages. If a view is based on a table that has a primary key it should be possible to configure efficient keyset pagination that works the same way that table pagination works. This may be as simple as configuring a column that can be treated as a "primary key" for the purpose of pagination using |
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712368432 | MDU6SXNzdWU3MTIzNjg0MzI= | 984 | Review accessibility of new column action menus | simonw 9599 | open | 0 | 1 | 2020-09-30T23:56:44Z | 2020-10-01T00:01:36Z | OWNER | Feature added in #981 |
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709789634 | MDU6SXNzdWU3MDk3ODk2MzQ= | 27 | Sort order is not persisted by facet filter links | simonw 9599 | open | 0 | 0 | 2020-09-27T18:22:07Z | 2020-09-27T18:22:07Z | MEMBER | A link to |
dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/27/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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581795570 | MDU6SXNzdWU1ODE3OTU1NzA= | 93 | Support more string values for types in .add_column() | simonw 9599 | open | 0 | 0 | 2020-03-15T19:32:49Z | 2020-09-24T20:36:46Z | OWNER | https://sqlite-utils.readthedocs.io/en/2.4.2/python-api.html#adding-columns says:
As discovered in #92 this isn't the right list of values. I should expand this to match https://www.sqlite.org/datatype3.html |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/93/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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652961907 | MDU6SXNzdWU2NTI5NjE5MDc= | 121 | Improved (and better documented) support for transactions | simonw 9599 | open | 0 | 3 | 2020-07-08T04:56:51Z | 2020-09-24T20:36:46Z | OWNER | Originally posted by @simonw in https://github.com/simonw/sqlite-utils/pull/118#issuecomment-655283393 We should put some thought into how this library supports and encourages smart use of transactions. |
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688352145 | MDU6SXNzdWU2ODgzNTIxNDU= | 141 | insert-files support for compressed values | simonw 9599 | open | 0 | 0 | 2020-08-28T20:59:46Z | 2020-09-24T20:36:08Z | OWNER | The |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/141/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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705215230 | MDU6SXNzdWU3MDUyMTUyMzA= | 26 | Pagination | simonw 9599 | open | 0 | 7 | 2020-09-21T00:14:37Z | 2020-09-21T02:55:54Z | MEMBER | Useful for #16 (timeline view) since you can now filter to just the items on a specific day - but if there are more than 50 items you can't see them all. |
dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/26/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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694493566 | MDU6SXNzdWU2OTQ0OTM1NjY= | 16 | Timeline view | simonw 9599 | open | 0 | 3 | 2020-09-06T19:13:58Z | 2020-09-21T02:42:29Z | MEMBER | Ability to browse (and facet) by date. |
dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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694136490 | MDU6SXNzdWU2OTQxMzY0OTA= | 15 | Add a bunch of config examples | simonw 9599 | open | 0 | 1 | 2020-09-05T17:58:43Z | 2020-09-18T23:17:39Z | MEMBER | I can bring these over from my personal Dogsheep. |
dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/15/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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455852801 | MDU6SXNzdWU0NTU4NTI4MDE= | 507 | Every datasette plugin on the ecosystem page should have a screenshot | simonw 9599 | open | 0 | 4 | 2019-06-13T17:02:51Z | 2020-09-17T02:47:35Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/507/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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703218448 | MDU6SXNzdWU3MDMyMTg0NDg= | 51 | Documentation for twitter-to-sqlite fetch | simonw 9599 | open | 0 | 0 | 2020-09-17T02:38:10Z | 2020-09-17T02:38:10Z | MEMBER | It's mentioned in passing in the README but it deserves its own section:
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twitter-to-sqlite 206156866 | issue | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/51/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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703216044 | MDU6SXNzdWU3MDMyMTYwNDQ= | 49 | Feature: gists and starred gists | simonw 9599 | open | 0 | 0 | 2020-09-17T02:30:52Z | 2020-09-17T02:30:52Z | MEMBER | github-to-sqlite 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/49/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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698791218 | MDU6SXNzdWU2OTg3OTEyMTg= | 50 | favorites --stop_after=N stops after min(N, 200) | mikepqr 370930 | open | 0 | 2 | 2020-09-11T03:38:14Z | 2020-09-13T05:11:14Z | CONTRIBUTOR | For any number greater than 200, |
twitter-to-sqlite 206156866 | issue | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/50/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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649429772 | MDU6SXNzdWU2NDk0Mjk3NzI= | 886 | Reconsider how _actor_X magic parameter deals with missing values | simonw 9599 | open | 0 | 2 | 2020-07-02T00:00:38Z | 2020-09-11T21:35:26Z | OWNER | I had to build a custom @hookimpl
def register_magic_parameters():
return [
("actorornull", actorornull),
]
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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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696908389 | MDU6SXNzdWU2OTY5MDgzODk= | 961 | Verification checks for metadata.json on startup | simonw 9599 | open | 0 | 2 | 2020-09-09T15:21:53Z | 2020-09-09T15:24:31Z | OWNER | I lost a bunch of time yesterday trying to figure out why a Datasette instance wasn't starting up - it turned out it was because I had a Catching these on startup would be good. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/961/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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695556681 | MDU6SXNzdWU2OTU1NTY2ODE= | 19 | Figure out incremental re-indexing | simonw 9599 | open | 0 | 2 | 2020-09-08T05:23:31Z | 2020-09-08T05:27:07Z | MEMBER | As tables get bigger reindexing everything on a schedule (essentially recreating the entire index from scratch) will start to become a performance bottleneck. |
dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/19/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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695553522 | MDU6SXNzdWU2OTU1NTM1MjI= | 18 | Deleted records stay in the search index | simonw 9599 | open | 0 | 2 | 2020-09-08T05:14:23Z | 2020-09-08T05:15:51Z | MEMBER | That should probably do |
dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/18/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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695441530 | MDU6SXNzdWU2OTU0NDE1MzA= | 154 | OperationalError: cannot change into wal mode from within a transaction | simonw 9599 | open | 0 | 2 | 2020-09-07T23:42:44Z | 2020-09-07T23:47:10Z | OWNER | I'm getting this error when running:
I'm worried that maybe that's because of this new code from #152: |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/154/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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692202408 | MDU6SXNzdWU2OTIyMDI0MDg= | 12 | Idea: maps and GeoJSON support | simonw 9599 | open | 0 | 0 | 2020-09-03T18:47:10Z | 2020-09-04T01:45:03Z | MEMBER | It would be cool if the Then I could render workout routes on a map, or Swarm checkin points. |
dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/12/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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691537426 | MDU6SXNzdWU2OTE1Mzc0MjY= | 959 | Internals API idea: results.dicts in addition to results.rows | simonw 9599 | open | 0 | 0 | 2020-09-03T00:50:17Z | 2020-09-03T00:50:17Z | OWNER | I just wrote this code:
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689850810 | MDU6SXNzdWU2ODk4NTA4MTA= | 6 | Set up a demo instance | simonw 9599 | open | 0 | 0 | 2020-09-01T06:20:24Z | 2020-09-01T06:20:24Z | MEMBER | Once I've got the Datasette plugin to a state where it's worth building a demo: #3 I can use data from my public https://github-to-sqlite.dogsheep.net/ demo plus the Pocket data subset I use for the demo in https://github.com/dogsheep/pocket-to-sqlite/issues/5 - I could pull in the https://dogsheep-photos.dogsheep.net/ photos data too. |
dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/6/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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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! |
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503243784 | MDU6SXNzdWU1MDMyNDM3ODQ= | 3 | Extract images into separate tables | simonw 9599 | open | 0 | 1 | 2019-10-07T05:43:01Z | 2020-09-01T06:17:45Z | MEMBER | As already done with authors. Slightly harder because images do not have a universally unique ID. Also need to figure out what to do about there being columns for both |
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689848827 | MDU6SXNzdWU2ODk4NDg4Mjc= | 6 | ISO timestamps | simonw 9599 | open | 0 | 0 | 2020-09-01T06:16:42Z | 2020-09-01T06:16:42Z | MEMBER | The
Should use ISO instead, e.g. |
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687694947 | MDU6SXNzdWU2ODc2OTQ5NDc= | 954 | Remove old register_output_renderer dict mechanism in Datasette 1.0 | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 1 | 2020-08-28T04:04:23Z | 2020-08-28T04:56:31Z | OWNER |
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647095487 | MDU6SXNzdWU2NDcwOTU0ODc= | 873 | "datasette -p 0 --root" gives the wrong URL | simonw 9599 | open | 0 | 14 | 2020-06-29T04:03:06Z | 2020-08-18T17:26:10Z | OWNER |
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675594325 | MDU6SXNzdWU2NzU1OTQzMjU= | 917 | Idea: "datasette publish" option for "only if the data has changed | simonw 9599 | open | 0 | 0 | 2020-08-08T21:58:27Z | 2020-08-08T21:58:27Z | OWNER | This is a pattern I often find myself needing. I usually implement this in GitHub Actions like this:
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673602857 | MDU6SXNzdWU2NzM2MDI4NTc= | 9 | Define a view that displays photos correctly | simonw 9599 | open | 0 | 0 | 2020-08-05T14:53:39Z | 2020-08-05T14:53:39Z | MEMBER | The id | createdAt | source | prefix | suffix | width | height | visibility | created ▲ | user -- | -- | -- | -- | -- | -- | -- | -- | -- | -- 5e12c9708506bc000840262a | January 06, 2020 - 05:45:20 UTC | Swarm for iOS 1 | https://fastly.4sqi.net/img/general/ | /15889193_AXxGk4I1nbzUZuyYqObgbXdJNyEHiwj6AUDq0tPZWtw.jpg | 1920 | 1440 | public | 2020-01-06T05:45:20 | 15889193 The photo URL can be derived from those pieces - define a SQL view which does that (using |
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668064026 | MDU6SXNzdWU2NjgwNjQwMjY= | 911 | Rethink the --name option to "datasette publish" | simonw 9599 | open | 0 | Datasette 1.0 3268330 | 0 | 2020-07-29T18:49:49Z | 2020-07-29T18:49:49Z | OWNER |
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664793260 | MDU6SXNzdWU2NjQ3OTMyNjA= | 2 | Yak shave | ekg 145425 | open | 0 | 0 | 2020-07-23T22:04:18Z | 2020-07-23T22:04:18Z | NONE | Just a quick note... The 23andme data is not exactly your genome, but a SNP chip of your genome. It's "some of your genotypes." Or about 0.1% of your genome. Nice work in any case! It deserves to be liberated!!!!! |
genome-to-sqlite 209590345 | issue | { "url": "https://api.github.com/repos/dogsheep/genome-to-sqlite/issues/2/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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659873662 | MDU6SXNzdWU2NTk4NzM2NjI= | 898 | datasette.utils.testing module | simonw 9599 | open | 0 | 2 | 2020-07-18T03:53:24Z | 2020-07-18T03:57:46Z | OWNER | The unit tests for plugins could benefit from reusing code from Datasette's own testing fixtures, e.g.:
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655974395 | MDExOlB1bGxSZXF1ZXN0NDQ4MzU1Njgw | 30 | Handle empty bucket on first upload. Allow specifying the endpoint_url for services other than S3 (like b2 and digitalocean spaces) | scanner 110038 | open | 0 | 0 | 2020-07-13T16:15:26Z | 2020-07-13T16:15:26Z | FIRST_TIME_CONTRIBUTOR | dogsheep/dogsheep-photos/pulls/30 | Finally got around to trying dogsheep-photos but I want to use backblaze's b2 service instead of AWS S3. Had to add a way to optionally specify the endpoint_url to connect to. Then with the bucket being empty the initial key retrieval would fail. Probably a better way to see that the bucket is empty than doing a test inside the paginator loop. Also probably a better way to specify the endpoint_url as we get and test for it twice using the same code in two different places but did not want to spend too much time worrying about it. |
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648749062 | MDExOlB1bGxSZXF1ZXN0NDQyNTA1MDg4 | 883 | Skip counting hidden tables | abdusco 3243482 | open | 0 | 4 | 2020-07-01T07:38:08Z | 2020-07-02T00:25:44Z | CONTRIBUTOR | simonw/datasette/pulls/883 | Potential fix for https://github.com/simonw/datasette/issues/859. Disabling table counts for hidden tables speeds up database page quite a bit. In my setup it reduced load time by 2/3 (~300 -> ~90ms) |
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632724154 | MDU6SXNzdWU2MzI3MjQxNTQ= | 805 | Writable canned queries live demo on Glitch | simonw 9599 | open | 0 | 11 | 2020-06-06T20:52:13Z | 2020-07-01T22:44:01Z | OWNER | Needs to run somewhere with a mutable disk drive, so not Cloud Run or Heroku or Vercel. I think I'll put it on Glitch. |
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648659536 | MDU6SXNzdWU2NDg2NTk1MzY= | 881 | Figure out why restore_working_directory is needed in some places | simonw 9599 | open | 0 | 0 | 2020-07-01T04:19:25Z | 2020-07-01T04:19:25Z | OWNER | This is a frustrating workaround. I have a /usr/local/opt/python/Frameworks/Python.framework/Versions/3.7/lib/python3.7/contextlib.py:112: in enter return next(self.gen) self = <click.testing.CliRunner object at 0x1135ad110>
I'd like to not have to do this. |
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644161221 | MDU6SXNzdWU2NDQxNjEyMjE= | 117 | Support for compound (composite) foreign keys | simonw 9599 | open | 0 | 3 | 2020-06-23T21:33:42Z | 2020-06-23T21:40:31Z | OWNER | It turns out SQLite supports composite foreign keys: https://www.sqlite.org/foreignkeys.html#fk_composite Their example looks like this: ```sql CREATE TABLE album( albumartist TEXT, albumname TEXT, albumcover BINARY, PRIMARY KEY(albumartist, albumname) ); CREATE TABLE song( songid INTEGER, songartist TEXT, songalbum TEXT, songname TEXT, FOREIGN KEY(songartist, songalbum) REFERENCES album(albumartist, albumname) ); ``` Here's what that looks like in sqlite-utils: ``` In [1]: import sqlite_utils In [2]: import sqlite3 In [3]: conn = sqlite3.connect(":memory:") In [4]: conn In [5]: conn.executescript("""
...: CREATE TABLE album(
...: albumartist TEXT,
...: albumname TEXT,
...: albumcover BINARY,
...: PRIMARY KEY(albumartist, albumname)
...: );
...: In [6]: db = sqlite_utils.Database(conn) In [7]: db.tables |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/117/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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643510821 | MDU6SXNzdWU2NDM1MTA4MjE= | 862 | Set an upper limit on total facet suggestion time for a page | simonw 9599 | open | 0 | 1 | 2020-06-23T03:57:55Z | 2020-06-23T03:58:48Z | OWNER | If a table has 100 columns the facet suggestion code will currently run 100 times, taking a max of So for 100 columns, that's 100 * 50ms = 5s total time that might be spent attempting to calculate facets on a large table! I should implement a hard upper limit on the total amount of time taken suggesting facets - probably of around 500ms. If it takes longer than that the remaining columns will not be considered. |
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348043884 | MDU6SXNzdWUzNDgwNDM4ODQ= | 357 | Plugin hook for loading metadata.json | simonw 9599 | open | 0 | 6 | 2018-08-06T19:00:01Z | 2020-06-21T22:19:58Z | OWNER | For https://github.com/simonw/russian-ira-facebook-ads-datasette/tree/af6d956995e14afd585c35a6a06bb01da32043ba I wrote a script to convert YAML to JSON because YAML is a better format for embedding multi-line HTML descriptions and canned SQL statements. Example yaml metadata file: https://github.com/simonw/russian-ira-facebook-ads-datasette/blob/af6d956995e14afd585c35a6a06bb01da32043ba/russian-ads-metadata.yaml It would be useful if Datasette could be fed a YAML file directly:
Question is... should this be a native feature (hence adding a YAML dependency) or should it be handled by a |
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639542974 | MDU6SXNzdWU2Mzk1NDI5NzQ= | 47 | Fall back to FTS4 if FTS5 is not available | hpk42 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". |
twitter-to-sqlite 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 } |
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639993467 | MDU6SXNzdWU2Mzk5OTM0Njc= | 850 | Proof of concept for Datasette on AWS Lambda with EFS | simonw 9599 | open | 0 | 25 | 2020-06-16T21:48:31Z | 2020-06-16T23:52:16Z | OWNER | If Datasette can run on Lambda with access to EFS it could both read AND write large databases there. |
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574021194 | MDU6SXNzdWU1NzQwMjExOTQ= | 691 | --reload sould reload server if code in --plugins-dir changes | simonw 9599 | open | 0 | 1 | 2020-03-02T14:42:21Z | 2020-06-14T02:35:17Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/691/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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638238548 | MDU6SXNzdWU2MzgyMzg1NDg= | 845 | Code coverage should ignore files in .coveragerc | simonw 9599 | open | 0 | 0 | 2020-06-13T21:45:42Z | 2020-06-13T21:46:03Z | OWNER | I'm not sure why this is, but the code coverage I have running in a GitHub Action doesn't take my Here's the bit that's ignored: https://github.com/simonw/datasette/blob/cf7a2bdb404734910ec07abc7571351a2d934828/.coveragerc#L1-L2 As a result my coverage score is 84%, when it should be 92%:
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628156527 | MDU6SXNzdWU2MjgxNTY1Mjc= | 789 | Mechanism for enabling pluggy tracing | simonw 9599 | open | 0 | 2 | 2020-06-01T05:10:14Z | 2020-06-01T05:11:03Z | OWNER | Could be useful for debugging plugins: https://pluggy.readthedocs.io/en/latest/#call-tracing I tried this out by adding these two lines in Added these:pm.trace.root.setwriter(print)
pm.enable_tracing()
finish actor_from_request --> [] [hook] extra_body_script [hook] template: show_json.html database: None table: None view_name: json_data datasette: <datasette.app.Datasette object at 0x106277ad0> finish extra_body_script --> [] [hook] extra_template_vars [hook] template: show_json.html database: None table: None view_name: json_data request: <datasette.utils.asgi.Request object at 0x1065504d0> datasette: <datasette.app.Datasette object at 0x106277ad0> finish extra_template_vars --> [] [hook] extra_css_urls [hook] template: show_json.html database: None table: None datasette: <datasette.app.Datasette object at 0x106277ad0> finish extra_css_urls --> [] [hook] extra_js_urls [hook] template: show_json.html database: None table: None datasette: <datasette.app.Datasette object at 0x106277ad0> finish extra_js_urls --> [] [hook] INFO: 127.0.0.1:52724 - "GET /-/actor HTTP/1.1" 200 OK actor_from_request [hook] datasette: <datasette.app.Datasette object at 0x106277ad0> request: <datasette.utils.asgi.Request object at 0x1065500d0> finish actor_from_request --> [] [hook] ``` |
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374953006 | MDU6SXNzdWUzNzQ5NTMwMDY= | 369 | Interface should show same JSON shape options for custom SQL queries | gfrmin 416374 | open | 0 | Datasette 1.0 3268330 | 2 | 2018-10-29T10:39:15Z | 2020-05-30T17:24:06Z | CONTRIBUTOR | At the moment the page returning a custom SQL query shows the JSON and CSV APIs, but not the multiple JSON shapes. However, adding the |
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626582657 | MDU6SXNzdWU2MjY1ODI2NTc= | 779 | Make human_description_en explicitly available to output renderers | simonw 9599 | open | 0 | 0 | 2020-05-28T14:59:54Z | 2020-05-28T14:59:54Z | OWNER |
https://github.com/simonw/datasette-atom/blob/df98a6c43a443224b6cd232f84703ec297ef046b/datasette_atom/init.py#L36-L37
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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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621486115 | MDU6SXNzdWU2MjE0ODYxMTU= | 27 | photos_with_apple_metadata view should include labels | simonw 9599 | open | 0 | 0 | 2020-05-20T06:06:17Z | 2020-05-20T06:06:17Z | MEMBER | Here's one way to add that:
|
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621323348 | MDU6SXNzdWU2MjEzMjMzNDg= | 24 | Configurable URL for images | simonw 9599 | open | 0 | 1 | 2020-05-19T22:25:56Z | 2020-05-20T06:00:29Z | MEMBER | This is hard-coded at the moment, which is bad: https://github.com/dogsheep/photos-to-sqlite/blob/d5d69b9019703c47bc251444838578dd752801e2/photos_to_sqlite/cli.py#L269-L272 |
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615626118 | MDU6SXNzdWU2MTU2MjYxMTg= | 22 | Try out ExifReader | simonw 9599 | open | 0 | 4 | 2020-05-11T06:32:13Z | 2020-05-14T05:59:53Z | MEMBER | https://pypi.org/project/ExifReader/ New fork that should be able to handle EXIF in HEIC files. Forked here: https://github.com/ianare/exif-py/issues/102#issuecomment-626376522 Refs #3 |
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616087149 | MDU6SXNzdWU2MTYwODcxNDk= | 765 | publish heroku should default to currently tagged version | simonw 9599 | open | 0 | 1 | 2020-05-11T18:24:06Z | 2020-05-11T18:25:43Z | OWNER | Had a report that deploying to Heroku was using the previously installed version of Datasette, not the latest. Could be because of this: Heroku documentation recommends pinning to specific versions https://devcenter.heroku.com/articles/python-pip So... we could ensure we default to an install value of |
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613491342 | MDU6SXNzdWU2MTM0OTEzNDI= | 762 | Experiment with PRAGMA hard_heap_limit | simonw 9599 | open | 0 | 0 | 2020-05-06T17:33:23Z | 2020-05-07T03:08:44Z | OWNER | This was added in SQLite 2020-01-22 (3.31.0): https://www.sqlite.org/changes.html#version_3_31_0
This sounds like it could be a nice extra safety measure. |
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613422636 | MDU6SXNzdWU2MTM0MjI2MzY= | 760 | Way of seeing full schema for a database | simonw 9599 | open | 0 | 3 | 2020-05-06T15:46:08Z | 2020-05-06T23:49:06Z | OWNER | I find myself wanting to quickly figure out all of the BLOB columns in a database. A It would need to be carefully constructed from various queries against |
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612860758 | MDU6SXNzdWU2MTI4NjA3NTg= | 18 | Switch CI solution to GitHub Actions with a macOS runner | simonw 9599 | open | 0 | 1 | 2020-05-05T20:03:50Z | 2020-05-05T23:49:18Z | MEMBER | Refs #17. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/18/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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612287234 | MDU6SXNzdWU2MTIyODcyMzQ= | 16 | Import machine-learning detected labels (dog, llama etc) from Apple Photos | simonw 9599 | open | 0 | 13 | 2020-05-05T02:45:43Z | 2020-05-05T05:38:16Z | MEMBER | Follow-on from #1. Apple Photos runs some very sophisticated machine learning on-device to figure out if photos are of dogs, llamas and so on. I really want to extract those labels out into my own database. |
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602533300 | MDU6SXNzdWU2MDI1MzMzMDA= | 1 | Import photo metadata from Apple Photos into SQLite | simonw 9599 | open | 0 | Apple Photos online and securely browsable 5324096 | 8 | 2020-04-18T19:23:26Z | 2020-05-04T02:41:40Z | MEMBER | Faces, albums, locations, that kind of thing. |
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608512747 | MDU6SXNzdWU2MDg1MTI3NDc= | 14 | Annotate photos using the Google Cloud Vision API | simonw 9599 | open | 0 | 5 | 2020-04-28T18:09:03Z | 2020-04-28T18:19:06Z | MEMBER | It can detect faces, run OCR, do image labeling (it knows what a lemur is!) and do object localization where it identifies objects and returns bounding polygons for them. |
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607888367 | MDU6SXNzdWU2MDc4ODgzNjc= | 13 | Also upload movie files | simonw 9599 | open | 0 | 2 | 2020-04-27T22:11:25Z | 2020-04-28T00:39:45Z | MEMBER | The Need to cover movies taken by my phone and DSLR too. |
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606033104 | MDU6SXNzdWU2MDYwMzMxMDQ= | 12 | If less than 500MB, show size in MB not GB | simonw 9599 | open | 0 | 1 | 2020-04-24T04:35:01Z | 2020-04-24T04:35:25Z | MEMBER | Just saw this:
|
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285168503 | MDU6SXNzdWUyODUxNjg1MDM= | 176 | Add GraphQL endpoint | yozlet 173848 | open | 0 | 8 | 2017-12-29T23:21:01Z | 2020-04-21T14:16:24Z | NONE | Would make it much easier to build React & similar frontends. Maybe with https://github.com/graphql-python/sanic-graphql ? |
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602619330 | MDU6SXNzdWU2MDI2MTkzMzA= | 45 | Use raise_for_status() everywhere | simonw 9599 | open | 0 | 1 | 2020-04-19T04:38:28Z | 2020-04-19T04:39:22Z | MEMBER | I keep seeing errors which I think are caused by authentication or rate limit problems but which appear to be unexpected JSON responses - presumably because they are actually an error message. Recent example: https://github.com/simonw/jsk-fellows-on-twitter/runs/598892575 Using |
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530491074 | MDU6SXNzdWU1MzA0OTEwNzQ= | 14 | Command for importing events | simonw 9599 | open | 0 | 3 | 2019-11-29T21:28:58Z | 2020-04-14T19:38:34Z | MEMBER | github-to-sqlite 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/14/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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599776345 | MDU6SXNzdWU1OTk3NzYzNDU= | 24 | Feature idea: github-to-sqlite everything ... | simonw 9599 | open | 0 | 0 | 2020-04-14T18:34:00Z | 2020-04-14T18:34:00Z | MEMBER | At the moment if you want to pull all your repos, issues, issues comments etc you have to do it with a sequence of separate commands. Consider adding a |
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593006814 | MDU6SXNzdWU1OTMwMDY4MTQ= | 715 | Refactor duplicate cell display logic | simonw 9599 | open | 0 | 0 | 2020-04-03T00:58:11Z | 2020-04-03T00:58:11Z | OWNER | The logic for rendering cells in table view and in database (or canned query) view is currently very similar: Compared with: I'll be changing this a bit in #698 but I should still try to clean this up more further in the future. |
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565064079 | MDExOlB1bGxSZXF1ZXN0Mzc1MTgwODMy | 672 | --dirs option for scanning directories for SQLite databases | simonw 9599 | open | 0 | 15 | 2020-02-14T02:25:52Z | 2020-03-27T01:03:53Z | OWNER | simonw/datasette/pulls/672 | Refs #417. |
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574035432 | MDU6SXNzdWU1NzQwMzU0MzI= | 692 | is_hidden_table context variable on table.html page | simonw 9599 | open | 0 | 1 | 2020-03-02T15:03:25Z | 2020-03-02T15:03:48Z | OWNER | It's useful to know if a table is hidden when rendering that page. |
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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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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! |
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559964149 | MDU6SXNzdWU1NTk5NjQxNDk= | 665 | Introduce a SQL statement parser in Python | simonw 9599 | open | 0 | 1 | 2020-02-04T20:36:05Z | 2020-02-04T20:36:48Z | OWNER | 254 and #653 are both examples of problems that could be solved using a real SQL parser in Python. |
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546073980 | MDU6SXNzdWU1NDYwNzM5ODA= | 74 | Test failures on openSUSE 15.1: AssertionError: Explicit other_table and other_column | jayvdb 15092 | open | 0 | 3 | 2020-01-07T04:35:50Z | 2020-01-12T07:21:17Z | CONTRIBUTOR | openSUSE 15.1 is using python 3.6.5 and click-7.0 , however it has test failures while openSUSE Tumbleweed on py37 passes. Most fail on the cli exit code like
packaging project at https://build.opensuse.org/package/show/home:jayvdb:py-new/python-sqlite-utils I'll keep digging into this after I have github-to-sqlite working on Tumbleweed, as I'll need openSUSE Leap 15.1 working before I can submit this into the main python repo. |
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541274681 | MDU6SXNzdWU1NDEyNzQ2ODE= | 2 | Add linkedin-to-sqlite | mnp 881925 | open | 0 | 0 | 2019-12-21T03:13:40Z | 2019-12-21T03:13:40Z | NONE | There is an API available. https://developer.linkedin.com/docs/rest-api# At the minimum, I would think contact list and messages would be of interest. |
dogsheep.github.io 214746582 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/2/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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527710055 | MDU6SXNzdWU1Mjc3MTAwNTU= | 640 | Nicer error message for heroku publish name clash | psychemedia 82988 | open | 0 | 1 | 2019-11-24T14:57:07Z | 2019-12-06T07:19:34Z | CONTRIBUTOR | If you try to publish to Heroku using no set name (i.e. the default
It would be neater if:
It may also be useful to provide a command to list the current names that are being used, which I assume is available via a Heroku call? |
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527670799 | MDU6SXNzdWU1Mjc2NzA3OTk= | 639 | updating metadata.json without recreating the app | pkoppstein 172847 | open | 0 | 6 | 2019-11-24T09:19:53Z | 2019-11-30T06:08:50Z | NONE | I've sucessfully "uploaded" an SQLite database (with a metadata.json file) to heroku using:
The question is: how can I modify the (small) metadata.json file without having to upload the (large) SQLite database. The directions on heroku indicate I should run:
But this just results in an empty directory with a warning: warning: You appear to have cloned an empty repository. I've been able to "clone" the heroku "app" using the command:
but this is not a git repository.... Ideally, it seems to me, there'd be an option of the (p.s. I ran (p.p.s. Thanks for Datasette!) |
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530468212 | MDU6SXNzdWU1MzA0NjgyMTI= | 643 | Set up some basic benchmarks as part of the unit tests | simonw 9599 | open | 0 | 0 | 2019-11-29T19:24:19Z | 2019-11-29T19:24:19Z | OWNER | https://pypi.org/project/pytest-benchmark/ looks great for this. Here's how to run it as a github action: https://github.com/rhysd/github-action-benchmark/blob/master/examples/pytest/README.md |
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464987783 | MDExOlB1bGxSZXF1ZXN0Mjk1MTI3MjEz | 546 | Facet by delimiter | simonw 9599 | open | 0 | 2 | 2019-07-07T20:06:05Z | 2019-11-18T23:46:01Z | OWNER | simonw/datasette/pulls/546 | Refs #510 |
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501773982 | MDExOlB1bGxSZXF1ZXN0MzIzOTgzNzMy | 579 | New connection pooling | simonw 9599 | open | 0 | 1 | 2019-10-02T23:22:19Z | 2019-11-15T22:57:21Z | OWNER | simonw/datasette/pulls/579 | See #569 |
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516874735 | MDU6SXNzdWU1MTY4NzQ3MzU= | 613 | Basic join support for table view | simonw 9599 | open | 0 | 1 | 2019-11-03T19:12:53Z | 2019-11-03T19:14:01Z | OWNER | I think it would be possible to support basic foreign key joins on the table page. The user could specify columns that should result in a join (from a set of suggestions similar to how facets work right now) and they could then be passed as This feature will make a lot of sense when combined with the ability to show / hide / customize columns, see #292 |
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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. |
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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? |
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505673645 | MDU6SXNzdWU1MDU2NzM2NDU= | 16 | Do a better job with archived direct message threads | simonw 9599 | open | 0 | 0 | 2019-10-11T06:55:21Z | 2019-10-11T06:55:27Z | MEMBER | twitter-to-sqlite 206156866 | issue | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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504720731 | MDU6SXNzdWU1MDQ3MjA3MzE= | 1 | Add more details on how to request data from google takeout correctly. | dazzag24 1055831 | open | 0 | 0 | 2019-10-09T15:17:34Z | 2019-10-09T15:17:34Z | NONE | The default is to download everything. This can result in an enormous amount of data when you only really need 2 types of data for now:
In addition unless you specify that "My Activity" is downloaded in JSON format the default is HTML. This then causes the
command to fail as it only contains html files not json files. Thanks |
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503053243 | MDU6SXNzdWU1MDMwNTMyNDM= | 582 | Datasette should not completely crash if one SQLite database is malformed | simonw 9599 | open | 0 | 0 | 2019-10-06T05:11:43Z | 2019-10-06T05:11:43Z | OWNER | If you run Datasette against a number of database files and one of them is malformed, you get this 500 error on the index page: It would be better if Datasette still worked and listed the databases that were NOT malformed, then showed an inline error message just for the one that could not be accessed. |
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481885279 | MDU6SXNzdWU0ODE4ODUyNzk= | 569 | More advanced connection pooling | simonw 9599 | open | 0 | 4 | 2019-08-17T13:20:41Z | 2019-10-02T22:44:37Z | OWNER | We need a much smarter way of handling database connections. Today, connections are simple: Datasette runs a number of threads (defaults to 3) and each thread gets a threadlocal read-only (or immutable) connection to each attached database - opened on demand. For Datasette Library (#417) I want to support potentially hundreds of attached databases. Datasette Edit (#567) is going to introduce a need for writable connections too. I'd also like to be able to run joins across multiple databases (#283) which further complicates things. Supporting thousands of open SQLite connections at once feels like it won't provide good enough performance (though I should benchmark that to be sure). Some kind of connection pooling is likely to be necessary. |
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488874815 | MDU6SXNzdWU0ODg4NzQ4MTU= | 5 | Write tests that simulate the Twitter API | simonw 9599 | open | 0 | 1 | 2019-09-03T23:55:35Z | 2019-09-03T23:56:28Z | MEMBER | I can use betamax for this: https://pypi.org/project/betamax/ |
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463544206 | MDU6SXNzdWU0NjM1NDQyMDY= | 537 | Populate "endpoint" key in ASGI scope | simonw 9599 | open | 0 | 12 | 2019-07-03T04:54:47Z | 2019-07-22T06:03:18Z | OWNER | This is a trick used by Starlette so that other layers of ASGI middleware can see which route was selected. They added it here: https://github.com/encode/starlette/commit/34d0097feb6f057bd050d5057df5a2f96b97384e If Datasette supports it as well we can benefit from it if we integrate this sentry_asgi middleware (probably as a |
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465003070 | MDU6SXNzdWU0NjUwMDMwNzA= | 551 | Ship many-to-many faceting support (and facet-by-delimiter) | simonw 9599 | open | 0 | 2 | 2019-07-07T23:11:45Z | 2019-07-08T15:45:23Z | OWNER | datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/551/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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CREATE TABLE [issues] ( [id] INTEGER PRIMARY KEY, [node_id] TEXT, [number] INTEGER, [title] TEXT, [user] INTEGER REFERENCES [users]([id]), [state] TEXT, [locked] INTEGER, [assignee] INTEGER REFERENCES [users]([id]), [milestone] INTEGER REFERENCES [milestones]([id]), [comments] INTEGER, [created_at] TEXT, [updated_at] TEXT, [closed_at] TEXT, [author_association] TEXT, [pull_request] TEXT, [body] TEXT, [repo] INTEGER REFERENCES [repos]([id]), [type] TEXT , [active_lock_reason] TEXT, [performed_via_github_app] TEXT, [reactions] TEXT, [draft] INTEGER, [state_reason] TEXT); CREATE INDEX [idx_issues_repo] ON [issues] ([repo]); CREATE INDEX [idx_issues_milestone] ON [issues] ([milestone]); CREATE INDEX [idx_issues_assignee] ON [issues] ([assignee]); CREATE INDEX [idx_issues_user] ON [issues] ([user]);