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/issues/2059#issuecomment-1506174353,https://api.github.com/repos/simonw/datasette/issues/2059,1506174353,IC_kwDOBm6k_c5ZxmWR,9599,simonw,2023-04-13T01:13:00Z,2023-04-13T01:13:00Z,OWNER,"Can you provide a URL to an example, and/or a screenshot of this? Is it a browser warning or is it a warning from Heroku itself?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1665053646,"""Deceptive site ahead"" alert on Heroku deployment", https://github.com/simonw/datasette/pull/2056#issuecomment-1506175208,https://api.github.com/repos/simonw/datasette/issues/2056,1506175208,IC_kwDOBm6k_c5Zxmjo,9599,simonw,2023-04-13T01:14:13Z,2023-04-13T01:14:13Z,OWNER,https://github.com/simonw/datasette/actions/runs/4664796647/jobs/8300596121?pr=2056 it's pretty fast - that finished in 9s.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1661860507,GitHub Action to lint Python code with ruff, https://github.com/simonw/datasette/pull/2056#issuecomment-1506177115,https://api.github.com/repos/simonw/datasette/issues/2056,1506177115,IC_kwDOBm6k_c5ZxnBb,9599,simonw,2023-04-13T01:17:16Z,2023-04-13T01:17:16Z,OWNER,"Here are the failures: https://github.com/simonw/datasette/actions/runs/4684460653/jobs/8300630794?pr=2056 ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1661860507,GitHub Action to lint Python code with ruff, https://github.com/simonw/datasette/pull/2056#issuecomment-1506177857,https://api.github.com/repos/simonw/datasette/issues/2056,1506177857,IC_kwDOBm6k_c5ZxnNB,9599,simonw,2023-04-13T01:18:18Z,2023-04-13T01:18:18Z,OWNER,"Cool - and now https://github.com/simonw/datasette/pull/2056/files is showing me those inline annotations: ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1661860507,GitHub Action to lint Python code with ruff, https://github.com/simonw/datasette/pull/2056#issuecomment-1506179555,https://api.github.com/repos/simonw/datasette/issues/2056,1506179555,IC_kwDOBm6k_c5Zxnnj,9599,simonw,2023-04-13T01:21:05Z,2023-04-13T01:22:08Z,OWNER,"OK, I'm sold - this is a really neat improvement. One thing to change in the PR: right now it runs `pip install --user ruff` on every commit, which hits PyPI to install the package. I prefer to avoid hitting PyPI every time, so I like to use the GitHub Actions cache. My usual pattern for that looks like this: https://github.com/simonw/datasette/blob/5890a20c374fb0812d88c9b0ef26a838bfa06c76/.github/workflows/test-pyodide.yml#L16-L20 Then a separate command that runs `pip install ...` will benefit from that cache. Are you OK to make that change?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1661860507,GitHub Action to lint Python code with ruff, https://github.com/simonw/sqlite-utils/issues/527#issuecomment-1506223848,https://api.github.com/repos/simonw/sqlite-utils/issues/527,1506223848,IC_kwDOCGYnMM5Zxybo,9599,simonw,2023-04-13T02:08:16Z,2023-04-13T02:08:16Z,OWNER,"I agree, this is a design flaw. It's technically a breaking change. As such, I would need to bump to v4 to responsibly release this. I'd rather bundle in a few more breaking changes before shipping that version. One thing we could do here is add an extra argument to `.convert()` - something like this: ```python table.convert(col, lambda x: x+1, skip_false=False) ``` This would trigger the new, improved behaviour without breaking existing code that depends on how it works at the moment. Then in `sqlite-utils` 4 we can change the default of that option. What do you think? (I'm open to suggestions for better names for this parameter too)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1578790070,`Table.convert()` skips falsey values,