9 Commity (8df116b24cc79a837d9bfa291d23082f838f78a6)

Autor	SHA1	Wiadomość	Data
Simon Willison	896cc2c6ac	Replace MockRequest with Request.fake() ... Close #1004	2020-10-09 09:26:17 -07:00
Simon Willison	7152e76eda	Don't suggest array facet if column is only [], closes #610	2019-11-01 14:45:59 -07:00
Simon Willison	50287e7c6b	Only suggest array facet for arrays of strings - closes #562	2019-11-01 12:37:46 -07:00
Simon Willison	c5542abba5	Removed ManyToManyFacet for the moment, closes #550	2019-07-07 16:21:11 -07:00
Simon Willison	182a3017c2	Sort keys to past tests in Python 3.5	2019-05-25 09:22:02 -07:00
Simon Willison	d923d84754	Facet by many-to-many, closes #365	2019-05-25 09:06:32 -07:00
Simon Willison	967230c90e	Facet by date, closes #481	2019-05-20 23:09:22 -07:00
Simon Willison	53d2f00b73	Implemented ArrayFacet, closes #359	2019-05-02 20:21:27 -04:00
Simon Willison	ea66c45df9	Extract facet code out into a new plugin hook, closes #427 (#445) ... Datasette previously only supported one type of faceting: exact column value counting. With this change, faceting logic is extracted out into one or more separate classes which can implement other patterns of faceting - this is discussed in #427, but potential upcoming facet types include facet-by-date, facet-by-JSON-array, facet-by-many-2-many and more. A new plugin hook, register_facet_classes, can be used by plugins to add in additional facet classes. Each class must implement two methods: suggest(), which scans columns in the table to decide if they might be worth suggesting for faceting, and facet_results(), which executes the facet operation and returns results ready to be displayed in the UI.	2019-05-02 17:11:26 -07:00