issue_comments: 995296725
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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/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.) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1078702875 |