Python库 | mypy-boto3-kafka-1.11.0.0.tar.gz

# mypy-boto3-kafka Type annotations for [boto3.Kafka 1.11.0](https://boto3.amazonaws.com/v1/documentation/api/1.11.0/reference/services/kafka.html#Kafka) service compatible with [mypy](https://github.com/python/mypy), [VSCode](https://code.visualstudio.com/), [PyCharm](https://www.jetbrains.com/pycharm/) and other tools. More information can be found [here](https://vemel.github.io/mypy_boto3/). - [mypy-boto3-kafka](#mypy-boto3-kafka) - [How to use](#how-to-use) - [Type checking](#type-checking) - [Code auto-complete](#code-auto-complete) - [How it works](#how-it-works) ## How to use ### Type checking Make sure you have [mypy](https://github.com/python/mypy) installed and activated in your IDE. Install `boto3-stubs` for `Kafka` service. ```bash python -m pip install boto3-stubs[mypy-boto3-kafka] ``` Use `boto3` with `mypy_boto3` in your project and enjoy type checking and auto-complete. ```python import boto3 from mypy_boto3 import kafka # alternative import if you do not want to install mypy_boto3 package # import mypy_boto3_kafka as kafka # Use this client as usual, now mypy can check if your code is valid. # Check if your IDE supports function overloads, # you probably do not need explicit type annotations # client = boto3.client("kafka") client: kafka.KafkaClient = boto3.client("kafka") # works for session as well session = boto3.session.Session(region="us-west-1") session_client: kafka.KafkaClient = session.client("kafka") # Paginators need type annotation on creation list_cluster_operations_paginator: kafka.ListClusterOperationsPaginator = client.get_paginator("list_cluster_operations") list_clusters_paginator: kafka.ListClustersPaginator = client.get_paginator("list_clusters") list_configuration_revisions_paginator: kafka.ListConfigurationRevisionsPaginator = client.get_paginator("list_configuration_revisions") list_configurations_paginator: kafka.ListConfigurationsPaginator = client.get_paginator("list_configurations") list_nodes_paginator: kafka.ListNodesPaginator = client.get_paginator("list_nodes") ``` ## How it works Fully automated [builder](https://github.com/vemel/mypy_boto3) carefully generates type annotations for each service, patiently waiting for `boto3` updates. It delivers a drop-in type annotations for you and makes sure that: - All available `boto3` services are covered. - Each public class and method of every `boto3` service gets valid type annotations extracted from the documentation (blame `botocore` docs if types are incorrect). - Type annotations include up-to-date documentation. - Link to documentation is provided for every method. - Code is processed by [black](https://github.com/psf/black) for readability.