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Conditionally Disable Py38 #72

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merged 12 commits into from
May 9, 2019
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@scbedd scbedd commented May 9, 2019

There is an issue with Python 3.8 for the moment. We need to get a release out for the real python releases though.

@annatisch annatisch merged commit f6001bc into Azure:dev May 9, 2019
annatisch added a commit that referenced this pull request Jun 13, 2019
* Bug fixes in client

* CI fixes

* More bug fixes + package updates

* Fixed pylint

* Fixed 2.7 pylint

* Fix memory leak problem in sending BatchEventData (#70)

* Missing application_properties in BatchMessage fixes

* Missing data bytes in BatchMessage fixes

* Updated pylint version

This should resolve Travis error: `AttributeError: 'Import' object has no attribute 'infer_name_module'`

* improve type checking to enable message-like objects in BatchMessage

* pylint error fixes

* remove Python 3.4 from the travis config as Python 3.4 won't be supported from the next release

* Fix memory leak in sending BatchEventData

* improve solution by typecasting NULL to AMQP types

* Remove explicit test directory

* Separate test passes

* Some test updates

* Turned off test debug

* Fixed proxy test

* Adding livetest yaml (#71)

* adding evenhub secrets to livetest for UAMQP

* Splitting client.yml into a livetest build with environment variables set + maxparallel set to 1. This will ensure that any livetests won't accidentally stomp on each other.

* Trying latest cython

* Reverting Cython version

* Conditionally Disable Py38 (#72)

* adding evenhub secrets to livetest for UAMQP

* trying an adjustment of the build to see if continueonError will work

* removing extra variables in client.yml

* missed a single addition

* regular variable access

* trying without quotes

* disabling python 3.8

* removing shenanigans with continueonerror

* fixing the ordering

* Event Hub Track 2 Support (#74)

* Missing application_properties in BatchMessage fixes

* Missing data bytes in BatchMessage fixes

* Updated pylint version

This should resolve Travis error: `AttributeError: 'Import' object has no attribute 'infer_name_module'`

* improve type checking to enable message-like objects in BatchMessage

* pylint error fixes

* remove Python 3.4 from the travis config as Python 3.4 won't be supported from the next release

* Fix memory leak in sending BatchEventData

* improve solution by typecasting NULL to AMQP types

* init commit for websocket support

* Websocket functionality done, but further design is needed

* Reorganzie WebSocket related code

* Remove unnecessary tls http_proxy setting

* Module import and proxy username password update

* Update comment

* Update code

* Fix pylint error

* OAuth support

* Add Message app_prop checking

* Remove scope

* Updated proxy test

* Event Hub Track 2 Support (#75)

* Missing application_properties in BatchMessage fixes

* Missing data bytes in BatchMessage fixes

* Updated pylint version

This should resolve Travis error: `AttributeError: 'Import' object has no attribute 'infer_name_module'`

* improve type checking to enable message-like objects in BatchMessage

* pylint error fixes

* remove Python 3.4 from the travis config as Python 3.4 won't be supported from the next release

* Fix memory leak in sending BatchEventData

* improve solution by typecasting NULL to AMQP types

* init commit for websocket support

* Websocket functionality done, but further design is needed

* Reorganzie WebSocket related code

* Remove unnecessary tls http_proxy setting

* Module import and proxy username password update

* Update comment

* Update code

* Fix pylint error

* OAuth support

* Add Message app_prop checking

* Remove scope

* Add async jwt token support

* Update max message size

* Fix pylint error

* Code improvement

* Fix mistake

* Update code
1. Add MessageContentTooLarge error and will be raised when BatchMessage content is too large
2. Remove useless raise in cbs_auth_async

* Update history

* Add missing raise and correct misspelling (#77)

* Fix livetest error and compatibility with EventHub Track1 (#78)

* Update prefetch count in test

* Fix getting loop bug

* Lower logging level as too many logs will cause memory error in test pipeline

* Update prefetch count for the live test

* Update pretech count

* Update docstring of timeout type from int to float as part of the guideline
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2 participants