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google_analytics_plugin's Issues

s3 load_file issues

In GoogleAnalyticsReportingToS3Operator when we upload the ga_file to s3 with S3Hook, we seem to have an incomplete file (with less records) uploaded other than as we had the content uploaded via load_string.

Did you experience similar differences? I am using Airflow v1.10.6.

Support for Python3?

Has anyone successfully authenticated to GA with Python 3?
I can't get past errors such as:
2019-10-22T14:00:00+00:00 [running]> on host 13ae1e54de4e [2019-10-22 15:21:35,158] {{logging_mixin.py:95}} INFO - [�[34m2019-10-22 15:21:35,156�[0m] {{�[34m__init__.py:�[0m44}} WARNING�[0m - file_cache is unavailable when using oauth2client >= 4.0.0 or google-auth�[0m �[31mTraceback (most recent call last): File "/usr/local/airflow/.local/lib/python3.7/site-packages/googleapiclient/discovery_cache/__init__.py", line 36, in autodetect from google.appengine.api import memcache ModuleNotFoundError: No module named 'google.appengine'

Looking further into it, google.appengine is deprecated and google cloud should be used instead.
Is there anything I'm missing?

Which connection type to use with the Operators?

Hey man,
Great work on this! I'm new to airflow so I'm struggling a bit with getting a GA connection. I'm running in a docker setup with the keyfile in the /usr/local/airflow/keys and setting the name of it in the GCP connection Keyfile Path in connections but my task keeps failing with No Valid Credentials Found

Merge Google Analytics with airflow master

This development preexists the one available in the apache/airflow repo operators for Google Analytics. But trying to keep the SSoT principle, can you try to merge this code with the hocks and Operators for google that can be found in the official repo?

I don't want to do a copy-paste of your code since you wouldn't figure as authors anymore. How should I proceed?

If this repo ins no longer maintained I can migrate this to the official apache/airflow issues.

Cheers and thanks for your work!

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