* 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
Gianluca Ciccarelli
John Bodley
Erik Ritter
Dave Smith
Maxime Beauchemin
timifasubaa
jasnovak
Gabe Lyons
Jeffrey Wang
Jeff Niu