kopia lustrzana https://github.com/simonw/datasette
				
				
				
			
		
			
				
	
	
		
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			119 wiersze
		
	
	
		
			4.2 KiB
		
	
	
	
		
			ReStructuredText
		
	
	
| .. _facets:
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| 
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| Facets
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| ======
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| 
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| Datasette facets can be used to add a faceted browse interface to any Datasette table. With facets, tables are displayed along with a summary showing the most common values in specified columns. These values can be selected to further filter the table.
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| 
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| Facets can be specified in two ways: using queryset parameters, or in ``metadata.json`` configuration for the table.
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| 
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| Facets in querystrings
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| ----------------------
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| 
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| To turn on faceting for specific columns on a Datasette table view, add one or more ``_facet=COLUMN`` parameters to the URL. For example, if you want to turn on facets for the ``city`` and ``state`` columns, construct a URL that looks like this::
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| 
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|     /dbname/tablename?_facet=state&_facet=city
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| 
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| This works for both the HTML interface and the ``.json`` view. When enabled, facets will cause a ``facet_results`` block to be added to the JSON output, looking something like this::
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| 
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|     {
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|       "state": {
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|         "name": "state",
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|         "results": [
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|           {
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|             "value": "CA",
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|             "label": "CA",
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|             "count": 10,
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|             "toggle_url": "http://...?_facet=city_id&_facet=state&state=CA",
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|             "selected": false
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|           },
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|           {
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|             "value": "MI",
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|             "label": "MI",
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|             "count": 4,
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|             "toggle_url": "http://...?_facet=city_id&_facet=state&state=MI",
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|             "selected": false
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|           },
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|           {
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|             "value": "MC",
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|             "label": "MC",
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|             "count": 1,
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|             "toggle_url": "http://...?_facet=city_id&_facet=state&state=MC",
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|             "selected": false
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|           }
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|         ],
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|         "truncated": false
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|       }
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|       "city_id": {
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|         "name": "city_id",
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|         "results": [
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|           {
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|             "value": 1,
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|             "label": "San Francisco",
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|             "count": 6,
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|             "toggle_url": "http://...?_facet=city_id&_facet=state&city_id=1",
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|             "selected": false
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|           },
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|           {
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|             "value": 2,
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|             "label": "Los Angeles",
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|             "count": 4,
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|             "toggle_url": "http://...?_facet=city_id&_facet=state&city_id=2",
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|             "selected": false
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|           },
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|           {
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|             "value": 3,
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|             "label": "Detroit",
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|             "count": 4,
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|             "toggle_url": "http://...?_facet=city_id&_facet=state&city_id=3",
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|             "selected": false
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|           },
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|           {
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|             "value": 4,
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|             "label": "Memnonia",
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|             "count": 1,
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|             "toggle_url": "http://...?_facet=city_id&_facet=state&city_id=4",
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|             "selected": false
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|           }
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|         ],
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|         "truncated": false
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|       }
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|     }
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| 
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| If Datasette detects that a column is a foreign key, the ``"label"`` proper will be automatically derived from the detected label column on the referenced table.
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| 
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| Facets in metadata.json
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| -----------------------
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| 
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| You can turn facets on by default for specific tables by adding them to a ``"facets"`` key in a Datasette :ref:`metadata` file.
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| 
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| Here's an example that turns on faceting by default for the ``qLegalStatus`` column in the ``Street_Tree_List`` table in the ``sf-trees`` database::
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| 
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|     {
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|         "databases": {
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|             "sf-trees": {
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|                 "tables": {
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|                     "Street_Tree_List": {
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|                         "facets": ["qLegalStatus"]
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|                     }
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|                 }
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|             }
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|         }
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|     }
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| 
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| Facets defined in this way will always be shown in the interface and returned in the API, regardless of the ``_facet`` arguments passed to the view.
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| 
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| Suggested facets
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| ----------------
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| 
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| Datasette's table UI will suggest facets for the user to apply, based on the following criteria:
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| 
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| For the currently filtered data are there any columns which, if applied as a facet...
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| 
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| * Will return 20 or less unique options
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| * Will return more than one unique option
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| * Will return less unique options than the total number of filtered rows
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| * And the query used to evaluate this criteria can be completed in under 20ms
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| 
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| That last point is particularly important: Datasette runs a query for every column that is displayed on a page, which could get expensive - so to avoid slow load times it sets a time limit of just 20ms for each of those queries. This means suggested facets are unlikely to appear for tables with millions of records in them.
 |