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  • simonw · 6 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
643704730 https://github.com/simonw/datasette/issues/847#issuecomment-643704730 https://api.github.com/repos/simonw/datasette/issues/847 MDEyOklzc3VlQ29tbWVudDY0MzcwNDczMA== simonw 9599 2020-06-14T01:28:34Z 2020-06-14T01:28:34Z OWNER

Here's the plugin that adds those custom SQLite functions: ```python from datasette import hookimpl from coverage.numbits import register_sqlite_functions

@hookimpl def prepare_connection(conn): register_sqlite_functions(conn) ```

 
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 Take advantage of .coverage being a SQLite database 638259643  
643704565 https://github.com/simonw/datasette/issues/847#issuecomment-643704565 https://api.github.com/repos/simonw/datasette/issues/847 MDEyOklzc3VlQ29tbWVudDY0MzcwNDU2NQ== simonw 9599 2020-06-14T01:26:56Z 2020-06-14T01:26:56Z OWNER

On closer inspection, I don't know if there's that much useful stuff you can do with the data from .coverage on its own.

Consider the following query against a .coverage run against Datasette itself:

sql select file_id, context_id, numbits_to_nums(numbits) from line_bits

It looks like this tells me which lines of which files were executed during the test run. But... without the actual source code, I don't think I can calculate the coverage percentage for each file. I don't want to count comment lines or whitespace as untested for example, and I don't know how many lines were in the file.

If I'm right that it's not possible to calculate percentage coverage from just the .coverage data then I'll need to do something a bit more involved - maybe parsing the coverage.xml report and loading that into my own schema?

 
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 Take advantage of .coverage being a SQLite database 638259643  
643702715 https://github.com/simonw/datasette/issues/847#issuecomment-643702715 https://api.github.com/repos/simonw/datasette/issues/847 MDEyOklzc3VlQ29tbWVudDY0MzcwMjcxNQ== simonw 9599 2020-06-14T01:03:30Z 2020-06-14T01:03:40Z OWNER

Filed a related issue with some ideas against coveragepy here: https://github.com/nedbat/coveragepy/issues/999

 
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 Take advantage of .coverage being a SQLite database 638259643  
643699583 https://github.com/simonw/datasette/issues/846#issuecomment-643699583 https://api.github.com/repos/simonw/datasette/issues/846 MDEyOklzc3VlQ29tbWVudDY0MzY5OTU4Mw== simonw 9599 2020-06-14T00:26:31Z 2020-06-14T00:26:31Z OWNER

That seems to have fixed the problem, at least for the moment.

 
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 "Too many open files" error running tests 638241779  
643699063 https://github.com/simonw/datasette/issues/846#issuecomment-643699063 https://api.github.com/repos/simonw/datasette/issues/846 MDEyOklzc3VlQ29tbWVudDY0MzY5OTA2Mw== simonw 9599 2020-06-14T00:22:32Z 2020-06-14T00:22:32Z OWNER

Idea: num_sql_threads (described as "Number of threads in the thread pool for executing SQLite queries") defaults to 3 - can I knock that down to 1 in the tests and open less connections as a result?

 
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 "Too many open files" error running tests 638241779  
643698790 https://github.com/simonw/datasette/issues/846#issuecomment-643698790 https://api.github.com/repos/simonw/datasette/issues/846 MDEyOklzc3VlQ29tbWVudDY0MzY5ODc5MA== simonw 9599 2020-06-14T00:20:42Z 2020-06-14T00:20:42Z OWNER

Released a new plugin, datasette-psutil, as a side-effect of this investigation: https://github.com/simonw/datasette-psutil

 
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 "Too many open files" error running tests 638241779  

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