issues
9 rows where "closed_at" is on date 2019-05-03, repo = 107914493, state = "closed" and "updated_at" is on date 2019-05-03 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: user, comments, author_association, created_at (date), updated_at (date), closed_at (date)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
434321685 | MDExOlB1bGxSZXF1ZXN0MjcxMzM4NDA1 | 434 | "datasette publish cloudrun" command to publish to Google Cloud Run | rprimet 10352819 | closed | 0 | 8 | 2019-04-17T14:41:18Z | 2019-05-03T21:50:44Z | 2019-05-03T13:59:02Z | CONTRIBUTOR | simonw/datasette/pulls/434 | This is a very rough draft to start a discussion on a possible datasette cloud run publish plugin (see issue #400). The main change was to dynamically set the listening port in This was done by running |
datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/434/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | |||||
374675798 | MDExOlB1bGxSZXF1ZXN0MjI2MzE0ODYy | 367 | Mark codemirror files as vendored | jaap3 48517 | closed | 0 | 2 | 2018-10-27T18:41:25Z | 2019-05-03T21:12:09Z | 2019-05-03T21:11:20Z | CONTRIBUTOR | simonw/datasette/pulls/367 | GitHub lists datasette as a Javascript project, primarily because of the vendored codemirror files. This is somewhat confusing when you're looking for datasette, knowing it's written in Python. Luckily it's possible exclude certain files from GitHub's code statistics: https://github.com/github/linguist#using-gitattributes |
datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/367/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | |||||
438450757 | MDExOlB1bGxSZXF1ZXN0Mjc0NDc4NzYx | 442 | Suppress rendering of binary data | russss 45057 | closed | 0 | 2 | 2019-04-29T18:36:41Z | 2019-05-03T18:26:48Z | 2019-05-03T16:44:49Z | CONTRIBUTOR | simonw/datasette/pulls/442 | Binary columns (including spatialite geographies) get shown as ugly binary strings in the HTML by default. Nobody wants to see that mess. Show the size of the column in bytes instead. If you want to decode the binary data, you can use a plugin to do it. |
datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/442/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | |||||
374676773 | MDExOlB1bGxSZXF1ZXN0MjI2MzE1NTEz | 368 | Update installation instructions | jaap3 48517 | closed | 0 | 0 | 2018-10-27T18:52:31Z | 2019-05-03T18:18:43Z | 2019-05-03T18:18:42Z | CONTRIBUTOR | simonw/datasette/pulls/368 | I was writing this as a response to your tweet, but decided I might just make it a pull request. I feel like it might be confusing to those unfamiliar with Python's By also using |
datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/368/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | |||||
439836586 | MDExOlB1bGxSZXF1ZXN0Mjc1NTU4NjEy | 445 | Extract facet code out into a new plugin hook, closes #427 | simonw 9599 | closed | 0 | 0 | 2019-05-03T00:02:41Z | 2019-05-03T18:17:18Z | 2019-05-03T00:11:27Z | OWNER | simonw/datasette/pulls/445 | Datasette previously only supported one type of faceting: exact column value counting. With this change, faceting logic is extracted out into one or more separate classes which can implement other patterns of faceting - this is discussed in #427, but potential upcoming facet types include facet-by-date, facet-by-JSON-array, facet-by-many-2-many and more. A new plugin hook, register_facet_classes, can be used by plugins to add in additional facet classes. Each class must implement two methods: suggest(), which scans columns in the table to decide if they might be worth suggesting for faceting, and facet_results(), which executes the facet operation and returns results ready to be displayed in the UI. |
datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/445/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | |||||
440159137 | MDExOlB1bGxSZXF1ZXN0Mjc1ODAxNDYz | 447 | Use dist: xenial and python: 3.7 on Travis | simonw 9599 | closed | 0 | 1 | 2019-05-03T18:07:07Z | 2019-05-03T18:17:05Z | 2019-05-03T18:16:53Z | OWNER | simonw/datasette/pulls/447 | datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/447/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | ||||||
398559195 | MDU6SXNzdWUzOTg1NTkxOTU= | 400 | datasette publish cloudrun plugin | rprimet 10352819 | closed | 0 | 1 | 2019-01-12T14:35:11Z | 2019-05-03T16:57:35Z | 2019-05-03T16:57:35Z | CONTRIBUTOR | Google announced that they may launch a simple service for running Docker containers (previously serverless containers, now called "cloud run" -- link to alpha here). If/when this happens, it might be a good fit for publishing datasettes? (at least using the current version, manually publishing a datasette seems relatively painless). |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/400/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
completed | ||||||
439480260 | MDExOlB1bGxSZXF1ZXN0Mjc1Mjc1NjEw | 443 | Pass view_name to extra_body_script hook | russss 45057 | closed | 0 | 0 | 2019-05-02T08:38:36Z | 2019-05-03T13:12:20Z | 2019-05-03T13:12:20Z | CONTRIBUTOR | simonw/datasette/pulls/443 | At the moment it's not easy to tell whether the hook is being called
in (for example) the row or table view, as in both cases the
This passes the |
datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/443/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 | |||||
432893491 | MDExOlB1bGxSZXF1ZXN0MjcwMjUxMDIx | 432 | Refactor facets to a class and new plugin, refs #427 | simonw 9599 | closed | 0 | 4 | 2019-04-13T20:04:45Z | 2019-05-03T00:04:24Z | 2019-05-03T00:04:24Z | OWNER | simonw/datasette/pulls/432 | WIP for #427 |
datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/432/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
0 |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);