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4 rows where state = "open" and "updated_at" is on date 2022-09-06 sorted by updated_at descending
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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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1363280254 | PR_kwDODFdgUs4-cIa_ | 76 | Add organization support to repos command | OverkillGuy 2757699 | open | 0 | 1 | 2022-09-06T13:21:42Z | 2022-09-06T13:59:08Z | FIRST_TIME_CONTRIBUTOR | dogsheep/github-to-sqlite/pulls/76 | New --organization flag to signify all given "usernames" are private orgs. Adapts API URL to the organization path instead. Not the best implementation, but a first draft to talk around Fixes #75 (badly, no tests, overly vague, untested) |
github-to-sqlite 207052882 | pull | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/76/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1363244199 | I_kwDODFdgUs5RQXSn | 75 | Fetch repos doesn't support organisations | OverkillGuy 2757699 | open | 0 | 0 | 2022-09-06T12:55:06Z | 2022-09-06T12:55:06Z | NONE | Say I want to get all my Github Org's repos info, for data analysis. Not just the public repos, but also the private/internal repos. The endpoints are different for organisation, and this tool doesn't take it into account: https://github.com/dogsheep/github-to-sqlite/blob/ace13ec3d98090d99bd71871c286a4a612c96a50/github_to_sqlite/utils.py#L453 https://github.com/dogsheep/github-to-sqlite/blob/ace13ec3d98090d99bd71871c286a4a612c96a50/github_to_sqlite/utils.py#L455 The endpoints for organisation repos is instead (source):
Let's add support for organisations repo scraping. |
github-to-sqlite 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/75/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1268121674 | PR_kwDOBm6k_c45fz-O | 1757 | feat: add a wildcard for _json columns | ytjohn 163156 | open | 0 | 1 | 2022-06-11T01:01:17Z | 2022-09-06T00:51:21Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/1757 | This allows _json to accept a wildcard for when there are many JSON columns that the user wants to convert. I hope this is useful. I've tested it on our datasette and haven't ran into any issues. I imagine on a large set of results, there could be some performance issues, but it will probably be negligible for most use cases. On a side note, I ran into an issue where I had to upgrade black on my system beyond the pinned version in setup.py. Here is the upstream issue <https://github.com/psf/black/issues/2964 . I didn't include this in the PR yet since I didn't look into the issue too far, but I can if you would like. |
datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/1757/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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903986178 | MDU6SXNzdWU5MDM5ODYxNzg= | 1344 | Test Datasette Docker images built for different architectures | simonw 9599 | open | 0 | 10 | 2021-05-27T16:52:29Z | 2022-09-06T00:07:58Z | OWNER | Continuing on from #1319 - now that we have the ability to build Datasette's Docker image against multiple architectures we should test that it works. We can do this with QEMU emulation, see https://twitter.com/nevali/status/1397958044571602945 |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1344/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]);