* 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
* 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
Summary: We want to allow grouping by on expressions, including the
ability to select expressions (without group-by). The UI ain't good yet
.. it is not at the feature parity of say adhoc filters/metrics that
come with a nice text-box to edit the SQL. But
this suffices for my usecase for now.
(The UI would have to be redone ... but that would require some refactoring
to merge the AdhocFilter/Metric/Popover stuff such that it can be used
for this use case too.)
Also fixed a bug in the SelectControl freeForm selection.
Allow selecting all columns easily: Added a new Select-All special item
that users can select to make all the options in the selectable show
up.
The ability to group by arbitrary expressions is useful because now two
users don't need to create custom computed-fields for this.
- Rename the default feature flags key in `config.py` to DEFAULT_FEATURE_FLAGS
- Merge default feature flags with user defined ones allowing the latter to overwrite the former
- Expose feature_flags for both server and client to use
- Add a utility method for checking whether a feature flag is on on server side
* Add licenses
* More licenses
* Ignore messages.json as they are generated
* More licenses
* Also typescript
* Fix alignment
* Add to svg
* Many more licenses
* more licenses
* Better excludes
* Add licenses to docs and md files
* Pre-finalize licenses
* Fix newlines
* Finalize all sourde licenses
* Fix lint
* Making thrift, pyhive and tableschema as extra_requires
Looking at the dependency tree for license related questions, I noticed
that tableschema had a huge tree, and only people running Hive really
need it. Making this as well as pyhive and thrift optional.
Also bumping some python dependencies
* Run pip-compile
* Removing refs to past.builtins (from future lib)
* Add thrift
* [cosmetic] CRUD's list from 'Add Filter' to 'Filter Results'
* Add global new button
* A better viz type selector
* lint
* Move view to new module, add unit test
* 'Filter Results' -> 'Filter'
* db merge
* Filter -> 'Filter List'
* [WiP] deprecate auto-generated metrics & fix examples
Picking up some leftover pieces not needed anymore since the
MetricsControl
* db merge
* db merge
* fix migration
* Creating metrics required for tests
* [scheduled reports] Add support for scheduled reports
* Scheduled email reports for slice and dashboard visualization
(attachment or inline)
* Scheduled email reports for slice data (CSV attachment on inline table)
* Each schedule has a list of recipients (all of them can receive a single mail,
or separate mails)
* All outgoing mails can have a mandatory bcc - for audit purposes.
* Each dashboard/slice can have multiple schedules.
In addition, this PR also makes a few minor improvements to the celery
infrastructure.
* Create a common celery app
* Added more celery annotations for the tasks
* Introduced celery beat
* Update docs about concurrency / pools
* [scheduled reports] - Debug mode for scheduled emails
* [scheduled reports] - Ability to send test mails
* [scheduled reports] - Test email functionality - minor improvements
* [scheduled reports] - Rebase with master. Minor fixes
* [scheduled reports] - Add warning messages
* [scheduled reports] - flake8
* [scheduled reports] - fix rebase
* [scheduled reports] - fix rebase
* [scheduled reports] - fix flake8
* [scheduled reports] Rebase in prep for merge
* Fixed alembic tree after rebase
* Updated requirements to latest version of packages (and tested)
* Removed py2 stuff
* [scheduled reports] - fix flake8
* [scheduled reports] - address review comments
* [scheduled reports] - rebase with master
* Use py3's f-strings instead of s.format(**locals())
In light of the bug reported here
https://github.com/apache/incubator-superset/issues/6347, which seems
like an odd `.format()` issue in py3, I greped and replaced all
instances of `.format(**locals())` using py3's f-strings
* lint
* fix tests
* Adding cypress tests for showing erros, time range filter, and verbose name
* Adding tests for time range without ago
* Adding test to verify error message showing
* [SIP-5] Open a new /api/v1/query endpoint that takes query_obj
- Introduce a new handle_superset_exception decorator to avoid repeating the logic for catching SupersetExceptions
- Create a query_obj_backfill method that takes form_data and constructs a query_obj that will be constructed in the client in the future. Use the backfill in explore_json.
- Create a new /api/v1/query endpoint that takes query_obj only and returns the payload data. Note the query_obj is constructed in the client. The endpoint currently only handles query_obj for table view viz (we'll be adding support to new viz types as we go).
- Unit test to verify the new endpoint for table view
* fix tests and lint errors
* - Move the new query endpoint into its own api.py view.
- Create QueryObject and QueryContext class to encapsulate query_object to be built from the client and additional info (e.g. datasource) needed to get the data payload for a given query
- Remove the query_obj_backfill as we'll start building the first query_object on the client so it no longer makes sense to have a short-lived backfill for the matter of days.
* Fixing lint and test errors
* Fixing additional lint error from the previous rebase.
* fixing additional lint error
* addressing additional pr comments
* Make /query accept a list of queries in the query_context object.
* fixing a lint error
* - Move time_shift based calculation and since, until check into util
- Add typing info for get_since_until
- Add new unit tests to verify time_shift calculation and the since until check
* Add separate limit setting for SqlLab
Use separate param for wrap sql
Get query limit from config
unit tests for limit control rendering in sql editor
py unit test
pg tests
Add max rows limit
Remove concept of infinity, always require defined limits
consistency
Assert on validation errors instead of tooltip
fix unit tests
attempt persist state
pr comments and linting
* load configs in via common param
* default to 1k
* [utils] gathering/refactoring into a "utils/" folder
Moving current utils.py into utils/core.py and moving other *util*
modules under this new "utils/" as well.
Following steps include eroding at "utils/core.py" and breaking it down
into smaller modules.
* Improve tests
* Make loading examples in scope for tests
* Remove test class attrs examples_loaded and requires_examples
* feat: import/export dashboards via cli
* style: fixed lint error
* test: added test for import and export util
* test: removing import test as it is causing integrity issues
Import is a wrapper around exist functionality so we can go ahead without a test or mock the actual db operation using https://docs.python.org/3/library/unittest.mock.html
And validate the wrapper operations only.
* test: remove test data file
* test: removed usage of reserved keyword id
* Add schema level access control on csv upload
* add db migrate merge point
* fix flake 8
* fix test
* remove unnecessary db migration
* fix flake
* nit
* fix test for test_schemas_access_for_csv_upload_endpoint
* fix test_csv_import test
* use security_manager to check whether schema is allowed to be accessed
* bring security manager to the party
* flake8 & repush to retrigger test
* address comments
* remove trailing comma
* Adds new macro to get filter values from "filters" and "extra_filters"
Adds test for filter_values macro
Adds doco for filter_values
Changes filter_values return type to be a list rather than string
* Makes return value type consistent
- filter_values always return a list