analytics-python is a python client is a slightly modified version of Segment's Python client library. This fork of Segment's analytics-python is fully compliant with the original Segment's SDK API, but it allows delivering the recorded events to a custom HTTP endpoint.

The documentation for Segment's Python SDK that this repository is based on is available at https://segment.com/libraries/python. Check Segment's docs to get familiar with the API.

You can package directly, in this case default http transport will be used:

importanalytics# This key will be passed in the `x-api-key` header of every requestanalytics.write_key='AWS_API_GATEWAY_KEY'# The custom endpoint to where the events will be delivered toanalytics.endpoint='https://segment.fih.io/v1/[endpoint-key]'analytics.track('kljsdgs99', 'SignedUp',{'plan': 'Enterprise'}) analytics.flush()

Use client with custom error handling function:

importanalyticsANALYTICS_WRITE_KEY='AWS_API_GATEWAY_KEY'ANALYTICS_ENDPOINT='https://segment.fih.io/v1/[endpoint-key]'deflog_error(e, batch): print("exception:{}, batch:{}".format(e, batch), flush=True) client=analytics.Client( endpoint=ANALYTICS_ENDPOINT, write_key=ANALYTICS_WRITE_KEY, debug=analytics.debug, on_error=log_error, send=analytics.send, max_queue_size=analytics.max_queue_size, upload_size=analytics.upload_size ) client.track(...) client.flush()

When using s3 transport SDK will upload data directly to AWS S3 bypassing http interface.

MB=1024*1024c=Client( write_key="write-key", endpoint="https://segment.fih.io/v1/[endpoint-key]", upload_size=1*MB, transport='s3', max_queue_size=1000000, ) foriinrange(30000): c.track( user_id='pavel', event='UUIDGenerated', properties=dict(id=str(uuid.uuid4()), counter=i) ) ifi%10000==0: c.flush() c.flush() assertFalse

1. Make sure that VERSION in version.py is updated

2. Merge PR to master

3. Create a distribution package

   python setup.py sdist 

4. Upload to pypi

   twine upload dist/* 

The documentation for Segment's Python SDK that this repository is based on is available at https://segment.com/libraries/python. You can use Segment's docs to get familiar with the API.

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(The MIT License)

Copyright (c) 2013 Segment Inc. [email protected]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the 'Software'), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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