* Switch from nosetest to pytest
Fix schedule tests
Collect pytest coverage
Move pytest config into pytest.ini
Move cov to the pytest.ini
* Append coverage for the 2nd run
* Add coverage to all commands
* Coverage only for tests
* Get coverage from 1 place
* Rename classes to be pytest compatible
* Test coverage for examples and tests
* Max diff to -1
* Explain how to run pytest for the whole project
* Do not append code coverage for the main run
* Do not run coverage on examples
Co-authored-by: bogdan kyryliuk <bogdankyryliuk@dropbox.com>
* Deprecate groupby from query_obj
* Fix query_object bug
* Fix histogram
* Remove groupby from legacy druid connector and fix first batch of unit tests
* Deprecate some unnecessary tests + fix a few others
* Address comments
* hide SIP-38 changes behind feature flag
* Break out further SIP-38 related tests
* Reslove test errors
* Add feature flag to QueryContext
* Resolve tests and bad rebase
* Backport recent changes from viz.py and fix broken DeckGL charts
* Fix bad rebase
* backport #9522 and address comments
* First cut at app factory
* Setting things back to master
* Working with new FLASK_APP
* Still need to refactor Celery
* CLI mostly working
* Working on unit tests
* Moving cli stuff around a bit
* Removing get in config
* Defaulting test config
* Adding flask-testing
* flask-testing casing
* resultsbackend property bug
* Fixing up cli
* Quick fix for KV api
* Working on save slice
* Fixed core_tests
* Fixed utils_tests
* Most tests working - still need to dig into remaining app_context issue in tests
* All tests passing locally - need to update code comments
* Fixing dashboard tests again
* Blacking
* Sorting imports
* linting
* removing envvar mangling
* blacking
* Fixing unit tests
* isorting
* licensing
* fixing mysql tests
* fixing cypress?
* fixing .flaskenv
* fixing test app_ctx
* fixing cypress
* moving manifest processor around
* moving results backend manager around
* Cleaning up __init__ a bit more
* Addressing PR comments
* Addressing PR comments
* Blacking
* Fixes for running celery worker
* Tuning isort
* Blacking
* 7620: Start removing dependencies on requests
* Patch urllib.request.urlopen instead of requests.get
* Try to fix flake8
* More work on flake8 import errors
* First attempt at using urllib with cookies
* Fix pylint/flake8
* Fix test_deliver_slice_csv_attachment
* Fix test_deliver_slice_csv_inline
* Import requests and pydruid conditionally, remove dependency on prison
* Fix flake errors
* Fix load_examples
* Please flake
* Skip tests depending on optional deps
* Try to please flake
* Address review comments
* Remove Druid-related UI
* Revert "Remove Druid-related UI"
This reverts commit d7e0f166cc3f3dd2496b4a666e177f0c191aeb0f.
* Skip a few tests more
* Put imports in right order
* Apply black patch
* Please flake
* Please black, silence flake
* Use flake8 silencing the right way
* Add deps for CI
* Add ability to inject statsd client; some py test/reqs updates
- Updated the metrics logger to allow construction with an existing
statsd client, so that it can be configured by external systems or libs.
- added requirements to requirements-dev.txt which are needed to run
tests-eg coverage, nose
- removed dependency on mock lib, it is in python stdlib now
- updated tox.ini to remove the now-superfluous deps
* add license to test file, and remove blank line at EOF
* add extraction fn support for Druid queries
* bump pydruid version to get extraction fn commits
* update and add tests for druid for filters with extraction fns
* conform to flake8 rules
* fix flake8 issues
* bump pyruid version for extraction function features
* [WiP] [explore] proper filtering of NULLs and ''
TODO: handling of Druid equivalents
* Unit tests
* Some refactoring
* [druid] fix 'Unorderable types' when col has nuls
Error "unorderable types: str() < int()" occurs when grouping by a
numerical Druid colummn that contains null values.
* druid/pydruid returns strings in the datafram with NAs for nulls
* Superset has custom logic around get_fillna_for_col that fills in the
NULLs based on declared column type (FLOAT here), so now we have a mixed
bag of type in the series
* pandas chokes on pivot_table or groupby operations as it cannot sorts
mixed types
The approach here is to stringify and fillna('<NULL>') to get a
consistent series.
* typo
* Fix druid_func tests
* Addressing more comments
* last touches
* Allowing limit ordering by post-aggregation metrics
* don't overwrite og dictionaries
* update tests
* python3 compat
* code review comments, add tests, implement it in groupby as well
* python 3 compat for unittest
* more self
* Throw exception when get aggregations is called with postaggs
* Treat adhoc metrics as another aggregation
Before this PR the only way to query lat/long is in the shape of 2
columns that contains lat and long.
Now we're adding 2 more options:
* a single column that has lat and long with a delimiter in between
* support for geohashes - geohashes are cool
Bogdan
Ville Brofeldt
John Bodley
Dinesh Sawant
Craig Rueda
1AB9502
Gianluca Ciccarelli
Erik Ritter
Dave Smith
Maxime Beauchemin
timifasubaa
jasnovak
Gabe Lyons
Jeffrey Wang
Jeff Niu