[AIRFLOW-5045] Add ability to create Google Dataproc cluster with cus…

[idralyuk]

…tom image from a different project

Jira

https://issues.apache.org/jira/browse/AIRFLOW-5045

Description

AIRFLOW-2797 added functionality to create Dataproc clusters with custom images. Unfortunately the images can only be defined in the current project. This PR adds ability to define a custom image project.

For more info see: https://cloud.google.com/dataproc/docs/guides/dataproc-images

Tests

One test added:

it checks whether the custom image project id was set correctly

Commits

• My commits all reference Jira issues in their subject lines, and I have squashed multiple commits if they address the same issue. In addition, my commits follow the guidelines from "How to write a good git commit message":
  1. Subject is separated from body by a blank line
  2. Subject is limited to 50 characters (not including Jira issue reference)
  3. Subject does not end with a period
  4. Subject uses the imperative mood ("add", not "adding")
  5. Body wraps at 72 characters
  6. Body explains "what" and "why", not "how"

Documentation

• In case of new functionality, my PR adds documentation that describes how to use it.
  • All the public functions and the classes in the PR contain docstrings that explain what it does
  • If you implement backwards incompatible changes, please leave a note in the Updating.md so we can assign it to a appropriate release

Code Quality

• Passes flake8

[codecov-io]

Codecov Report

Merging #5752 into master will decrease coverage by 0.64%.
The diff coverage is 100%.

@@            Coverage Diff             @@
##           master    #5752      +/-   ##
==========================================
- Coverage   79.93%   79.28%   -0.65%     
==========================================
  Files         498      498              
  Lines       32188    32190       +2     
==========================================
- Hits        25728    25523     -205     
- Misses       6460     6667     +207

Impacted Files	Coverage Δ
airflow/contrib/operators/dataproc_operator.py	86.26% <100%> (+0.07%)	⬆️
airflow/operators/postgres_operator.py	0% <0%> (-100%)	⬇️
airflow/operators/mysql_operator.py	0% <0%> (-100%)	⬇️
airflow/operators/mysql_to_hive.py	0% <0%> (-100%)	⬇️
airflow/operators/generic_transfer.py	0% <0%> (-100%)	⬇️
airflow/executors/celery_executor.py	40.74% <0%> (-35.56%)	⬇️
airflow/utils/log/wasb_task_handler.py	32.87% <0%> (-9.59%)	⬇️
airflow/utils/sqlalchemy.py	73.25% <0%> (-5.82%)	⬇️
airflow/utils/log/es_task_handler.py	87.15% <0%> (-4.59%)	⬇️
airflow/hooks/dbapi_hook.py	85.08% <0%> (-3.51%)	⬇️
... and 8 more

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