This is the Microsoft Azure SignalR Client Library. This package has been tested with Python 3.7+. For a more complete view of Azure libraries, see the azure sdk python release.
Azure SDK Python packages support for Python 2.7 has ended 01 January 2022. For more information and questions, please refer to https://github.com/Azure/azure-sdk-for-python/issues/20691
pip install azure-mgmt-signalr
pip install azure-identity
By default, Azure Active Directory token authentication depends on correct configure of following environment variables.
AZURE_CLIENT_ID for Azure client ID.AZURE_TENANT_ID for Azure tenant ID.AZURE_CLIENT_SECRET for Azure client secret.In addition, Azure subscription ID can be configured via environment variable AZURE_SUBSCRIPTION_ID.
With above configuration, client can be authenticated by following code:
from azure.identity import DefaultAzureCredential
from azure.mgmt.signalr import SignalRManagementClient
import os
sub_id = os.getenv("AZURE_SUBSCRIPTION_ID")
client = SignalRManagementClient(credential=DefaultAzureCredential(), subscription_id=sub_id)
Code samples for this package can be found at SignalR on docs.microsoft.com and Samples Repo
If you encounter any bugs or have suggestions, please file an issue in the Issues section of the project.
Features
Features
Features
This is beta preview version.
This version uses a next-generation code generator that introduces important breaking changes, but also important new features (like unified authentication and async programming).
General breaking changes
Credential system has been completly revamped:
azure.common.credentials or msrestazure.azure_active_directory instances are no longer supported, use the azure-identity classes instead: https://pypi.org/project/azure-identity/credentials parameter has been renamed credentialThe config attribute no longer exists on a client, configuration should be passed as kwarg. Example: MyClient(credential, subscription_id, enable_logging=True). For a complete set of
supported options, see the parameters accept in init documentation of azure-core
You can't import a version module anymore, use __version__ instead
Operations that used to return a msrest.polling.LROPoller now returns a azure.core.polling.LROPoller and are prefixed with begin_.
Exceptions tree have been simplified and most exceptions are now azure.core.exceptions.HttpResponseError (CloudError has been removed).
Most of the operation kwarg have changed. Some of the most noticeable:
raw has been removed. Equivalent feature can be found using cls, a callback that will give access to internal HTTP response for advanced userGeneral new features
typing. SDKs are mypy ready.aio namespace of your package to find the async client.Features
General Breaking Changes
This version uses a next-generation code generator that might introduce breaking changes. In summary, some modules were incorrectly visible/importable and have been renamed. This fixed several issues caused by usage of classes that were not supposed to be used in the first place.
azure.mgmt.signalr.signalr_client anymore (import from
azure.mgmt.signalr works like before)azure.mgmt.signalr.signalr_client
to azure.mgmt.signalrMyClass from a "models" sub-module cannot be imported
anymore using azure.mgmt.signalr.models.my_class (import from
azure.mgmt.signalr.models works like before)MyClassOperations from an operations
sub-module cannot be imported anymore using
azure.mgmt.signalr.operations.my_class_operations (import from
azure.mgmt.signalr.operations works like before)Last but not least, HTTP connection pooling is now enabled by default. You should always use a client as a context manager, or call close(), or use no more than one client per process.
Features
Features
FAQs
Microsoft Azure SignalR Client Library for Python
We found that azure-mgmt-signalr demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.