issue_comments: 837166862
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| 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/1280#issuecomment-837166862 | https://api.github.com/repos/simonw/datasette/issues/1280 | 837166862 | MDEyOklzc3VlQ29tbWVudDgzNzE2Njg2Mg== | 10801138 | 2021-05-10T19:07:46Z | 2021-05-10T19:07:46Z | CONTRIBUTOR | Do you have a list of sqlite versions you want to test against? One cool thing I saw recently (that we started using) was using `import docker` within python, and then writing pytest functions which executed against the container [setup](https://github.com/StatCan/kubeflow-containers/blob/3c7dcfb5e7188982fb8ebcded82e84292720f720/conftest.py#L85) [example](https://github.com/StatCan/kubeflow-containers/blob/master/tests/jupyterlab-cpu/test_julia.py#L8-L18) The inspiration for this came from the [jupyter docker-stacks](https://github.com/jupyter/docker-stacks/blob/09fb66007615ea68d9bce8f8e1a2cf9402f1e432/test/test_packages.py#L107) So off the top of my head, could look at building the container with different sqlite versions as a build-arg, then run tests against the containers. Just brainstorming though | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 842862708 |