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
797649915,MDExOlB1bGxSZXF1ZXN0NTY0NjA4MjY0,1211,Use context manager instead of plain open,4488943,closed,0,,,3,2021-01-31T07:58:10Z,2021-03-11T16:15:50Z,2021-03-11T16:15:50Z,CONTRIBUTOR,simonw/datasette/pulls/1211,"Context manager with open closes the files after usage. Fixes: https://github.com/simonw/datasette/issues/1208

When the object is already a pathlib.Path i used read_text
write_text functions

In some cases pathlib.Path.open were used in context manager,
it is basically the same as builtin open.

Tests are passing: 850 passed, 5 xfailed, 10 xpassed",107914493,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1211/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0,
797651831,MDU6SXNzdWU3OTc2NTE4MzE=,1212,Tests are very slow. ,4488943,closed,0,,,4,2021-01-31T08:06:16Z,2021-02-19T22:54:13Z,2021-02-19T22:54:13Z,CONTRIBUTOR,,"Working on my PR i noticed that tests are very slow.

The plain pytest run took about 37 minutes for me.
However i could shave of about 10 minutes from that if i used pytest-xdist to parallelize execution.
`pytest -n 8` is run only in 28 minutes on my machine.

I can create a PR to mention that in your documentation.
This will be a simple change to add pytest-xdist to requirements and change a command to run pytest in documentation.

Does that make sense to you?

After a bit more investigation it looks like python-xdist is not an answer. It creates a race condition for tests that try to clead temp dir before run.

Profiling shows that most time is spent on conn.executescript(TABLES) in make_app_client function. Which makes sense.

Perhaps the better approach would be look at the app_client fixture which is already session scoped, but not used by all test cases.
And/or use conn = sqlite3.connect("":memory:"") which is much faster.
And/or truncate tables after each TC instead of deleting the file and re-creating them.

I can take a look which is the best approach if you give the go-ahead. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1212/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed