html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,issue,performed_via_github_app
https://github.com/simonw/datasette/issues/1768#issuecomment-1214405023,https://api.github.com/repos/simonw/datasette/issues/1768,1214405023,IC_kwDOBm6k_c5IYlmf,9599,2022-08-14T15:54:11Z,2022-08-14T15:54:11Z,OWNER,"Also trying this locally:

    datasette publish cloudrun fixtures.db --service issue-1768

https://issue-1768-j7hipcg4aq-uc.a.run.app/-/versions

<img width=""775"" alt=""image"" src=""https://user-images.githubusercontent.com/9599/184544946-7cbce9c6-4cb3-4efa-96d8-1741afd1d6f4.png"">
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1296222572,
https://github.com/simonw/datasette/issues/1768#issuecomment-1214404690,https://api.github.com/repos/simonw/datasette/issues/1768,1214404690,IC_kwDOBm6k_c5IYlhS,9599,2022-08-14T15:52:02Z,2022-08-14T15:52:02Z,OWNER,"Tested locally with:

    datasette package fixtures.db --extra-options=""--setting sql_time_limit_ms 2500"" \
      -t datasette-package-python-upgrade

And then:

```
docker run -p 8081:8001 datasette-package-python-upgrade
INFO:     Started server process [8]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:8001 (Press CTRL+C to quit)
```
<img width=""832"" alt=""image"" src=""https://user-images.githubusercontent.com/9599/184544853-bc2d06cc-ff9a-47f3-9744-e8916e531929.png"">","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1296222572,
https://github.com/simonw/datasette/issues/1768#issuecomment-1214403875,https://api.github.com/repos/simonw/datasette/issues/1768,1214403875,IC_kwDOBm6k_c5IYlUj,9599,2022-08-14T15:46:49Z,2022-08-14T15:46:49Z,OWNER,https://hub.docker.com/layers/python/library/python/3.10.6-slim-bullseye/images/sha256-cf85cd32e60184a94d88a0103c289d09024abffaa77680d116d7cc837668ea15?context=explore is the most recent - `3.10.6-slim-bullseye`.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1296222572,
https://github.com/simonw/datasette/issues/1768#issuecomment-1177966193,https://api.github.com/repos/simonw/datasette/issues/1768,1177966193,IC_kwDOBm6k_c5GNlZx,9599,2022-07-07T17:25:22Z,2022-07-07T17:25:22Z,OWNER,I tried this on Datasette Cloud and swapping `datasetteproject/datasette` to `python:3.10-slim-bullseye` as the base image dropped the overall image size from ~232MB to ~166MB - but note that I don't have SpatiaLite in that second image.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1296222572,
https://github.com/simonw/datasette/issues/1768#issuecomment-1176550192,https://api.github.com/repos/simonw/datasette/issues/1768,1176550192,IC_kwDOBm6k_c5GILsw,9599,2022-07-06T18:39:11Z,2022-07-06T18:39:11Z,OWNER,"Relevant Twitter thread: https://twitter.com/simonw/status/1544710944462254080

Looks like `python:3.10-slim-bullseye` is a good option, see https://pythonspeed.com/articles/base-image-python-docker-images/","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1296222572,