* Adding Mode dashboard usage extractor and generic loader

* Update

* Increment version

To clarify what this sample is about. 
A year ago this folder only had one file :)

* Adding Bigquery to the readme

* fixing link

* Start if issue-320 documentatino of models

* adding more documentation

* Add Dashboard Table model

* Update dashboard_table.py

* Update test_dashboard_table.py

* bump version

* Optimize Neo4j Cypher query on Neo4jSearchDataExtractor

* flake8

* Added created timestamp and last modified timestamp on Dashboard

* Remove owner and reload time from dashboard_metadata

* Move dashboard_metadata under dashboard package

* Update

* Update

* Added dashboard group url and dashboard url

* Added cluster node in Dashboard

* refactored TableColumnCsvExtractor to the csv_extractors file.
removing sample_csv_data_loader.py
simplified sample_data_loader.py
Finally, modified sample data so that popular table shows by default again.

* Update sample_data_loader.py
Co-authored-by: Tao Feng <tfeng@lyft.com>

* Remove py27 Antlar presto sql usage extractor

* remove more

* remove pytest macro

* Mode Dashboard last successful execution

* Increment version

* Add badges to Neo4jSearchExtractor

* update publisher to have badges

* update elastic search document

* fix typo

* update name

* filter tags by type

* typo

* do not filter tags because then i can't get badges on staging :|

* update tests

* fix tests

* use amunsen_common for elastic search index

* revert commit using amundsencommon

* add comment

* make backwards compatible

* remove badges from tags

* Support unicode in file_system_neo4j_csv_loader

* increment version

* Update

* Update

* Let Python3 use csv not unicodecsv

* Mode dashboard owner

* Not having dashboard_owner to create User node

* Update

* Fix.

* Update corresponding tests.

* Replace schema_name with  and fix presto as well.

* Replace unit test with schema, since we renamed schema_name back to .

* Update setup.py
Co-authored-by: Tao Feng <tfeng@lyft.com>

* Change schema_name -> schema in sample_table_programmatic_source.csv

* Update schema_name -> schema in sample_data_loader

* Change name -> full_name in  sample_user.csv

* Change name -> full_name in sample_data_loader.py

* Retrigger CLA Check

* Initial commit

* Update

* Update

* Update

* flake8

* Update docstring

* Update

* Update

* Add mode_dashboard_constants and mode_dashboard_utils

* Add more to Util

* Added back model class to ModeDashboardExtractor

* flake8

* Address PR comments

* update models for 2.0.0

schema_name -> schema in table model
update search model to use schema, last_updated_timestamp

* update name -> full_name

* Initial check in on REST API Query

* Working version

* docstring

* Update

* Update

* Make unit test happy

* Update docstring

* Update

* Update

* Update

* Adding unit tests

* Updated README.md

* jsonpath_rw to extra_requires

* escaping backslashes in neo4j publisher

* removing an extra backslash

* Bumping versions to 1.5.3

* Backward compatible patch

* Increment version

* Update

* Add new programmatic description nodes.
Currently only tested on tables.

Fixing the neo4j nodes to have unquoted suffix where applicable
Differentiating between normal description and programmatic description nodes for practical purposes
Refactored Description relation creation to the DescriptionMetadata object itself

* Adding a todo describing desired goal in table metadata object

* Removing description order which is now handled exclusively by frontend.
Removed column programmatic description as I think column stats will work for this use case, or if not, we can add at a later time.

Added a couple of comments and removed TODO

Fixing flake8 style issues

* Removing is_editable
Added another test table to sample data

Fixes from code review.
Adding default argument to source.
Adding type comment
Changing node key of the programmatic description
Modifying doc string comment
fixing new test that relies on description text

* cleaning up sample data loader given that standalone column was retired.

* incrementing minor version by 1

* adding UNQUOTED_SUFFIX to sort_order like what is done with other column model.

* first attempt at deprecating standalone column

fixing lint

* Adding a check to allow us to pull tables without schemas

* adding a test

Completely different badge approach. We can use a separate file to define what type a particular tag is in a more normalized vs denormalized fashion. (#185)

Required having TagMetadata be also Neo4jCsvSerializable
Refactored Tag Node creation to live inside TagMetadata.

* [AMD-1157] Adding schema_table field on Elasticsearch mapping for exact match

* Use display_name

* Update

* Made changes to where_clause_suffix

* Updated back to table_schema instead of table_name

* Added new line at end of file

* Removed blank space in new line

`DELAY_TIME` was an undefined constant previously. This patch makes
delay timeout configurable using a config param.

Default of 100 seconds as API request quota limits are guaranteed to be
refilled after said time interval accoring to the documentation at:
https://cloud.google.com/compute/docs/api-rate-limits

* Load service location from ENV

* Add Dashboards and Metrics

* Fix default ES names

* Make tag names always lowercase

* Update sample_data_loader.py

* Update the dep and move connector to extra_require

* update test deps

* not use all as it is keyword

When transformer returned null no more records is processed, this means a transformer cannot filter out data. It also mean the task silently skip process rest of the records.