This PR removes the iteration over charts, dashboards and saved queries to create tags in the original migration, leaving only the logic to create the tags and the tagged objects tables.
Tested locally by running `superset db downgrade` to revert to the previous migration and then running `superset db upgrade` to the current version.
* Adding extraOverrides to line chart
* Updating extraOverrides to fit with more cases
* Moving extraOverrides to index.js
* Removing webpack-merge in package.json
* Fixing metrics control clearing metric
* initial commit for VIZ-58
* address @kristw's comments
* per @mistercrunch's comment to use a static list for now
* fix javascript test errors
* fix lint errors
* per @betodealmeida's comments
* remove unnecessary loop
* Allow for dynamic feature flags
Giving more control over feature flags, allowing administrator to define
custom logic around whether features are enabled for particular users /
roles.
The exposed function can be used for things like:
* progressive rollout of features (1%, 5%, 50%, 100%)
* experimentation
* role-based feature affectation (only admins see a particular feature)
* fix build
* Addressing comments
* Addressing @hughhh's comments
* Remove Cypress from package.json
I'm building some Docker images these days and realizing just how big
the Cypress package is. Looks like its ~500mb or so.
I prefer adding it as needed only as opposed to having to play tricks as
in `npm ci && rm node_modules/cypress`
* Pin cypress version
* Add script entry install-cypress
* bump cypress and fix ts-jest warning
In superset-ui 0.8.0, we used bignumber.js to transform numbers in chartProps' payload from plain 64-bit floats to BigNumber instances. This causes a number of charts to render incorrectly when comparison functions in the rendering algorithms operate on BigNumber objects instead of floats. This PR uses the preTransformProps step in SuperChart to transform BigNumber instances back to floats so charts can render properly.
This problem especially happens with pinot when you select two metrics
with different aliases but same function. For example, effectively the
sql like 'select type, count(*) as one, count(*) as two from bar group
by type'. In such a case, pinot will return two columns, both named
count_star.
So when we try to do a df['count_star'], the result is a Dataframe and
not a Series. This causes a KeyError in the get_df method.
So we push the DB specific label mutation inside get_df before we do any
other mutation.
* Force quotes on non-expression time grains on postgres
* Change to or semantics
* Return lower case column name as unmutated
* Add testcases for postgres time grains
* Make expression MixedCase
* Merge dataframe and column name mutation logic, add flag for disabling column aliases and add column name length checking
* Remove custome mutate_label from oracle spec
* Move hashing from mutate_label() to make_label_compatible()
* Remove empty line
* Make label mutating and truncating more robust
* Rename variables and make proposed changes from review
* Always execute labels_expected codepath
* Fix linting error
* Add comments and fix subquery errors
* Refine column compatibility
* Simplify label assignment
* Add unit tests for BQ and Oracle
* Linting
* Adding dropdown to DatasourceControl and ability to change datasource
* Style fixes
* Adding unit tests for datasource/get endpoint
* Fixing issue with dropdown overflow and style changes
* Fixing issues rebasing metadata button and fixing sort for datasource with no name
Grace Guo
Enrique Macip
1AB9502
John Bodley
Chris Williams
Ville Brofeldt
bipinsoniguavus
Conglei
Tom Hunter
michellethomas
Maxime Beauchemin
Marcus
Christine Chambers
ankursinghal2005
Krist Wongsuphasawat
Thomas Wang
Kim Truong
Beto Dealmeida
Serg
Benjamin
Prashant Shahi
Jack Zhang
agrawaldevesh
Ignacio Pérez Vergara
不知是哪个号