* [WiP] improve load_examples
related to #7472, longer term we will generate the examples by exporting
them into tarball as in #7472. In the meantime, we need this subset of
the features:
* allowing specifying an alternate database connection for examples
* allowing a --only-metadata flag to `load_examples` to load only
dashboard and chart definitions, no actual data is loaded
* Improve logging
* Rename data->examples
* Load only if not exist
* By default do not load, add a force flag
* fix build
* set published to true
* 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
* [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
* Field names in big query can contain only alphanumeric and underscore
* bad quote
* better place for mutating labels
* lint
* bug fix thanks to mistercrunch
* lint
* lint again
* Visualization Unicode bug fix
* Fix the build (#5403)
The travis build has been failing for 2 reasons recently
* pylint takes > 10 minutes without outputing
* bad merge confict auto resolve in controls.jsx
* Visualization Unicode bug fix
* Fix percent_metrics ZeroDivisionError and can not get metrics with label issue
* convert iterator to list
* get percentage metrics with get_metric_label method
* Adding tests case for expression type metrics
* Simplify expression
* [bugfix] convert metrics to numeric in dataframe
It appears sometimes the dbapi driver and pandas's read_sql fail at
returning the proper numeric types for metrics and they show up as
`object` in the dataframe. This results in "No numeric types to
aggregate" errors when trying to perform aggregations or pivoting in
pandas.
This PR looks for metrics in dataframes that are typed as "object"
and uses pandas' to_numeric to convert.
* Fix tests
* Remove all iteritems
* Adding full Annotation Framework
* Viz types
* Re organizing native annotations
* liniting
* Bug fix
* Handle no data
* Cleanup
* Refactor slice form_data to data
