PyPI 官网下载 | mypy-boto3-codedeploy-1.12.8.1.tar.gz

# mypy-boto3-codedeploy [](https://pypi.org/project/mypy-boto3-codedeploy) [](https://pypi.org/project/mypy-boto3-codedeploy) [](https://mypy-boto3-builder.readthedocs.io/) Type annotations for [boto3.CodeDeploy 1.12.8](https://boto3.amazonaws.com/v1/documentation/api/1.12.8/reference/services/codedeploy.html#CodeDeploy) 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 1.0.3](https://github.com/vemel/mypy_boto3_builder). More information can be found on [boto3-stubs](https://pypi.org/project/boto3-stubs/) page. - [mypy-boto3-codedeploy](#mypy-boto3-codedeploy) - [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 `CodeDeploy` service. ```bash python -m pip install boto3-stubs[mypy-boto3-codedeploy] ``` Use `boto3` with `mypy_boto3` in your project and enjoy type checking and auto-complete. ```python import boto3 from mypy_boto3 import codedeploy # alternative import if you do not want to install mypy_boto3 package # import mypy_boto3_codedeploy as codedeploy # 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("codedeploy") client: codedeploy.CodeDeployClient = boto3.client("codedeploy") # works for session as well session = boto3.session.Session(region="us-west-1") session_client: codedeploy.CodeDeployClient = session.client("codedeploy") # Waiters need type annotation on creation deployment_successful_waiter: codedeploy.DeploymentSuccessfulWaiter = client.get_waiter("deployment_successful") # Paginators need type annotation on creation list_application_revisions_paginator: codedeploy.ListApplicationRevisionsPaginator = client.get_paginator("list_application_revisions") list_applications_paginator: codedeploy.ListApplicationsPaginator = client.get_paginator("list_applications") list_deployment_configs_paginator: codedeploy.ListDeploymentConfigsPaginator = client.get_paginator("list_deployment_configs") list_deployment_groups_paginator: codedeploy.ListDeploymentGroupsPaginator = client.get_paginator("list_deployment_groups") list_deployment_instances_paginator: codedeploy.ListDeploymentInstancesPaginator = client.get_paginator("list_deployment_instances") list_deployment_targets_paginator: codedeploy.ListDeploymentTargetsPaginator = client.get_paginator("list_deployment_targets") list_deployments_paginator: codedeploy.ListDeploymentsPaginator = client.get_paginator("list_deployments") list_git_hub_account_token_names_paginator: codedeploy.ListGitHubAccountTokenNamesPaginator = client.get_paginator("list_git_hub_account_token_names") list_on_premises_instances_paginator: codedeploy.ListOnPremisesInstancesPaginator = client.get_paginator("list_on_premises_instances") ``` ## 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.