issue_comments: 995296725

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https://github.com/simonw/datasette/issues/1552#issuecomment-995296725 https://api.github.com/repos/simonw/datasette/issues/1552 995296725 IC_kwDOBm6k_c47UwXV 3556 2021-12-15T23:29:32Z 2021-12-15T23:29:32Z CONTRIBUTOR

@simonw thank you for your fast answer and your guidance!

While digging into the code, I found an undocumented way of doing it:

yaml facets: ["Facet for a column", {"array": "Facet for an array"}]

The only remaining problem with that solution is here: https://github.com/simonw/datasette/blob/250db8192cb8aba5eb8cd301ccc2a49525bc3d24/datasette/facets.py#L33

We have:

python type, metadata_config = metadata_config.items()[0]

But it requires to cast the dict_items as a list prior to access the first element:

python type, metadata_config = list(metadata_config.items())[0]

I guess it's an unspotted bug? (I mean, independently of the facets-with-arrays issue.)

 
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