Python库 | mypy-boto3-logs-1.13.2.0.tar.gz

# mypy-boto3-logs [](https://pypi.org/project/mypy-boto3-logs) [](https://pypi.org/project/mypy-boto3-logs) [](https://mypy-boto3-builder.readthedocs.io/) Type annotations for [boto3.CloudWatchLogs 1.13.2](https://boto3.amazonaws.com/v1/documentation/api/1.13.2/reference/services/logs.html#CloudWatchLogs) service compatible with [mypy](https://github.com/python/mypy), [VSCode](https://code.visualstudio.com/), [PyCharm](https://www.jetbrains.com/pycharm/) and other tools. Generated by [mypy-boto3-buider 1.0.9](https://github.com/vemel/mypy_boto3_builder). More information can be found on [boto3-stubs](https://pypi.org/project/boto3-stubs/) page. - [mypy-boto3-logs](#mypy-boto3-logs) - [How to use](#how-to-use) - [Type checking](#type-checking) - [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 `CloudWatchLogs` service. ```bash python -m pip install boto3-stubs[logs] # update installed packages index mypy_boto3 ``` Use `boto3` with `mypy_boto3` in your project and enjoy type checking and auto-complete. ```python import boto3 from mypy_boto3 import logs # alternative import if you do not want to install mypy_boto3 package # import mypy_boto3_logs as logs # 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("logs") client: logs.CloudWatchLogsClient = boto3.client("logs") # works for session as well session = boto3.session.Session(region="us-west-1") session_client: logs.CloudWatchLogsClient = session.client("logs") # Paginators need type annotation on creation describe_destinations_paginator: logs.DescribeDestinationsPaginator = client.get_paginator("describe_destinations") describe_export_tasks_paginator: logs.DescribeExportTasksPaginator = client.get_paginator("describe_export_tasks") describe_log_groups_paginator: logs.DescribeLogGroupsPaginator = client.get_paginator("describe_log_groups") describe_log_streams_paginator: logs.DescribeLogStreamsPaginator = client.get_paginator("describe_log_streams") describe_metric_filters_paginator: logs.DescribeMetricFiltersPaginator = client.get_paginator("describe_metric_filters") describe_queries_paginator: logs.DescribeQueriesPaginator = client.get_paginator("describe_queries") describe_resource_policies_paginator: logs.DescribeResourcePoliciesPaginator = client.get_paginator("describe_resource_policies") describe_subscription_filters_paginator: logs.DescribeSubscriptionFiltersPaginator = client.get_paginator("describe_subscription_filters") filter_log_events_paginator: logs.FilterLogEventsPaginator = client.get_paginator("filter_log_events") ``` ## How it works Fully automated [builder](https://github.com/vemel/mypy_boto3_builder) 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.