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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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552773632 | MDExOlB1bGxSZXF1ZXN0MzY1MjE4Mzkx | 660 | gcloud run is now GA, s/beta// | glasnt 813732 | closed | 0 | 1 | 2020-01-21T10:08:38Z | 2020-01-22T03:41:09Z | 2020-01-21T23:28:12Z | CONTRIBUTOR | simonw/datasette/pulls/660 | datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/660/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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445875242 | MDExOlB1bGxSZXF1ZXN0MjgwMjA1NTAy | 480 | Split pypi and docker travis tasks | glasnt 813732 | closed | 0 | Datasette 0.29 4471010 | 1 | 2019-05-19T23:14:37Z | 2019-07-07T20:03:20Z | 2019-07-07T20:03:20Z | CONTRIBUTOR | simonw/datasette/pulls/480 | Resolves #478 This should work, but because this is a change that'll only really be testable on a) this repo, b) master branch, this might fail fast if I didn't get the configurations right. Looking at #478 it should just be as simple as splitting out the docker and pypi processes into separate jobs, but it might end up being more complicated than that, depending on what pre-processes the pypi deployment needs, and how travisci treats deployment steps without scripts in general. |
datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/480/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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