Tencent-cloud-sdk

😁 We are very pleased to announce that this is the 7th Beta release of the Tencent Cloud SDK for Python. In version 0.1.7 Beta we have added some new features and fixed known issues.

Added
- We've added an advanced feature called waitable operations to the Core package of the Tencent Cloud SDK for Python, which will allow developers to wait for a resource operation to complete (e.g., create serverless cloud functions) in a synchronous or asynchronous programming fashion.

Changed
- The `create_function_async` and `create_function` instance methods on the serverless cloud function product client now have return values of the data type OperationWaitable, which will allow developers to wait for the serverless cloud function resource to actually be created.
- The `create_layer_async` and `create_layer` instance methods on the serverless cloud function product client will now no longer return a layer version number with a data type Int, but rather a waitable object with a data type OperationWaitable, which will allow the developer to wait for the layer resource to actually be created.
- The `delete_layer_async` and `delete_layer` instance methods on the serverless cloud product client now allow the parameter `layer_version` to be ignored or set to `None`, which will automatically delete all versions of the layer.

**Tips:** If the original return value of some high-level API has been replaced by a waitable object, the developer can obtain it by accessing the result property of the waitable object.

If you run into any issues, please let us know via the [Issue Tracker](https://github.com/nobody-night/tencent-cloud-sdk-python/issues) on GitHub.

😁 We are very pleased to announce this is the 6th beta release of the Tencent Cloud SDK for Python. In this version we have added some features:

Added
- We added a new advanced feature to the serverless cloud function product client, which is called a serverless cloud function routine.
- Add instance methods `routine_invoke` and `routine_invoke_async` for serverless cloud function product clients to call the specified routine for a given serverless cloud function.
- Add instance methods `seletc_routine` and `select_routine_async` for serverless cloud function product clients to create Python native synchronous or asynchronous function instances for a given serverless cloud function routine.
- Add instance methods `bind_routine` and `bind_routine_async` for serverless cloud function product clients to bind a Python native synchronous or asynchronous function to a given serverless cloud function routine.
- Add a class for serverless cloud function products. `IntegrateDispatch` is used to implement the serverless cloud function routine dispatcher.
- Add function `use_routine_dispatcher` for serverless cloud function products to enable the routine dispatch framework for the current serverless cloud function.

Changed
- Change some of the instance method notes applicable to the serverless cloud function product client to make it easier for developers to understand.

**Tips:** How to organize serverless cloud function code using advanced features called serverless cloud function routines provided by Tencent Cloud SDK for Python? [See our best practices](https://smallso.gitbook.io/tencent-cloud-sdk/python-best-practices/serverless-functions/native-invoke/routine).

If you run into any issues, please let us know via the [Issue Tracker](https://github.com/nobody-night/tencent-cloud-sdk-python/issues) on GitHub.

🤔 We are very pleased to announce this is the 5th beta release of the Tencent Cloud SDK for Python. In the 0.1.5 Beta, we have added some new features and fixed known bugs.

Fixed:
- Fixed the issue that the serverless cloud function product client public methods `list_functions` and `list_functions_async` could not correctly identify the serverless cloud function tag information.
- Fixed the problem that the serverless cloud function product client public methods `get_function_info` and `get_function_info_async` could not correctly identify the serverless cloud function tag information.
- Fixed the issue that the serverless cloud function client public methods `get_function_results` and `get_function_results_async` tag filtering did not take effect.

Changed:
- Optimize environment credential refresh logic. Now only environment credentials that have temporary access credentials Token information set will perform auto-refresh logic.
- Optimize the execution logic of some code...

Added:
- Added client public method `set_access_proxies`, which can now set or remove proxy server configuration for all client type instances at runtime.

If you run into any issues, please let us know via the [Issue Tracker](https://github.com/nobody-night/tencent-cloud-sdk-python/issues) on GitHub.

😘 We are very pleased to announce that this is the 0.1.4 Beta release of the Tencent Cloud SDK for Python. In this release we have fixed many known issues and added some new features.

Starting with this release, any client instance can access a public property named `proxies`. This property indicates one or more proxy server configurations set by the current client instance, and developers can now modify it at runtime.

It is worth noting that from this release, any product client inherits from the type `UniversalClient` rather than the type `BaseClient`, which will make it easier for developers to develop new product client types.

Note that environment credentials may not work in Tencent Cloud's serverless cloud functions in 0.1.3 Beta or earlier, and have been fixed in 0.1.4 Beta.

If you run into any issues, please let us know via the [Issue Tracker](https://github.com/nobody-night/tencent-cloud-sdk-python/issues) on GitHub.

😁 We are very pleased to announce that this is the second beta release of the Tencent Cloud SDK for Python. We have fixed several known bugs in the previous version and added some new features in this version.

It is worth noting that the serverless cloud function product client of the Tencent Cloud SDK for Python now supports "layer management" and monitoring data reporting; all client objects support access to the bound access credentials and allow setting new access credential information Wait...

We have added an advanced feature to the new version, which we will call the "Error Manager". With the Error Manager, developers can write custom error handler routines and respond to errors of interest (such as immediately retrying the operation that caused the error, exponential backoff retry, or throwing an exception ...).

If you run into any issues, please let us know via the [Issue Tracker](https://github.com/nobody-night/tencent-cloud-sdk-python/issues) on GitHub.

😃 We are very pleased to announce that this is the first beta version of the Tencent Cloud SDK for Python, and if everything goes well, we will release a stable version in the near future.

If you run into any issues, please let us know via the [Issue Tracker](https://github.com/nobody-night/tencent-cloud-sdk-python/issues) on GitHub.