The index page now only shows row counts for immutable databases OR for
databases with less than 30 tables provided it could get a count for
each of those tables in less than 10ms.
Closes#467, Refs #460
If we have less than 5 tables we now also show one or more views in the
summary on the homepage.
Also corrected the logic for the row counts - we now count hidden and
visible tables separately.
Closes#373, Refs #460
Moved VirtualSpatialIndex check into a new mechanism that should allow
us to add further sanity checks in the future.
To test this I've had to commit a binary sample SpatiaLite database to
the repository. I included a build script for creating that database.
Closes#466
Refs #462
* inspect command now just outputs table counts
* test_inspect.py is now only tests for that CLI command
* Updated some relevant documentation
* Removed docs for /-/inspect since that is about to change
This command:
python tests/fixtures.py \
fixtures.db \
metadata.json \
fixtures-plugins/
Will now create the fixtures.db and metadata.json files, AND create
a folder called fixtures-plugins/ containing two test plugins.
You can then run it like this:
datasette fixtures.db \
-m metadata.json --plugins-dir=fixtures-plugins/
ASGI cannot differentiate between / and %2F in a URL, so we need an
alternative scheme for encoding the names of tables that contain special
characters such as /
For background, see
https://github.com/django/asgiref/issues/51#issuecomment-450603464
Some examples:
"table/and/slashes" => "tableU+002FandU+002Fslashes"
"~table" => "U+007Etable"
"+bobcats!" => "U+002Bbobcats!"
"U+007Etable" => "UU+002B007Etable"
I've run the black code formatting tool against everything:
black tests datasette setup.py
I also added a new unit test, in tests/test_black.py, which will fail if the code does not
conform to black's exacting standards.
This unit test only runs on Python 3.6 or higher, because black itself doesn't run on 3.5.
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.
Also introduced a mechanism whereby table counts are calculated against a time limit
but immutable databases have their table counts calculated on server startup.
