Microsoft Azure Service Fabric Client Library for Python
Project description
Microsoft Azure SDK for Python
This is the Microsoft Azure Service Fabric Client Library.
Azure Resource Manager (ARM) is the next generation of management APIs that replace the old Azure Service Management (ASM).
This package has been tested with Python 2.7, 3.4, 3.5 and 3.6.
For the older Azure Service Management (ASM) libraries, see azure-servicemanagement-legacy library.
For a more complete set of Azure libraries, see the azure bundle package.
Compatibility
IMPORTANT: If you have an earlier version of the azure package (version < 1.0), you should uninstall it before installing this package.
You can check the version using pip:
pip freeze
If you see azure==0.11.0 (or any version below 1.0), uninstall it first:
pip uninstall azure
Usage
For code examples, see Service Fabric on docs.microsoft.com.
Provide Feedback
If you encounter any bugs or have suggestions, please file an issue in the Issues section of the project.
Release History
6.2.0.0 (2018-05-10)
General Breaking changes
This version uses a next-generation code generator that might introduce breaking changes.
Model signatures now use only keyword-argument syntax. All positional arguments must be re-written as keyword-arguments. To keep auto-completion in most cases, models are now generated for Python 2 and Python 3. Python 3 uses the “*” syntax for keyword-only arguments.
Enum types now use the “str” mixin (class AzureEnum(str, Enum)) to improve the behavior when unrecognized enum values are encountered. While this is not a breaking change, the distinctions are important, and are documented here: https://docs.python.org/3/library/enum.html#others At a glance:
“is” should not be used at all.
“format” will return the string value, where “%s” string formatting will return NameOfEnum.stringvalue. Format syntax should be prefered.
New Long Running Operation:
Return type changes from msrestazure.azure_operation.AzureOperationPoller to msrest.polling.LROPoller. External API is the same.
Return type is now always a msrest.polling.LROPoller, regardless of the optional parameters used.
The behavior has changed when using raw=True. Instead of returning the initial call result as ClientRawResponse, without polling, now this returns an LROPoller. After polling, the final resource will be returned as a ClientRawResponse.
New polling parameter. The default behavior is Polling=True which will poll using ARM algorithm. When Polling=False, the response of the initial call will be returned without polling.
polling parameter accepts instances of subclasses of msrest.polling.PollingMethod.
add_done_callback will no longer raise if called after polling is finished, but will instead execute the callback right away.
Bugfixes
Numerous fixes to descriptions and help text of entities
Compatibility of the sdist with wheel 0.31.0
Features
Add support for invoking container APIs
Add option to fetch container logs from exited containers
Query to get chaos events now supports specification to limit number of returned items
Client class can be used as a context manager to keep the underlying HTTP session open for performance
6.1.2.9 (2018-02-05)
Bugfixes
Numerous fixes to descriptions and help text of entities
Features
Chaos service now supports a target filter
Application types can now be provisioned and created in external stores
Added Orchestration Service internal support APIs
Added container deployment management APIs
6.1.1.9 (2018-01-23)
This version was broken and has been removed from PyPI.
6.0.2 (2017-10-26)
Bugfixes
remove application_type_version in get_application_type_info_list_by_name
fix application_type_definition_kind_filter default value from 65535 to 0
Features
add create_name, get_name_exists_info, delete_name, get_sub_name_info_list, get_property_info_list, put_property, get_property_info, delete_property, submit_property_batch
6.0.1 (2017-09-28)
Bug fix
Fix some unexpected exceptions
6.0 (2017-09-22)
Stable 6.0 api
6.0.0rc1 (2017-09-16)
Release candidate for Service Fabric 6.0 runtime
5.6.130 (2017-05-04)
Initial Release
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