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Type annotations for boto3.WorkSpaces 1.14.0 service, generated by mypy-boto3-buider 2.1.0

Project description

mypy-boto3-workspaces

PyPI - mypy-boto3-workspaces PyPI - Python Version Docs

Type annotations for boto3.WorkSpaces 1.14.0 service compatible with mypy, VSCode, PyCharm and other tools.

Generated by mypy-boto3-buider 2.1.0.

More information can be found on boto3-stubs page.

How to install

Make sure you have mypy installed and activated in your IDE.

Install boto3-stubs for WorkSpaces service.

python -m pip install boto3-stubs[workspaces]

How to use

Client annotations

WorkSpacesClient provides annotations for boto3.client("workspaces").

import boto3

from mypy_boto3_workspaces import WorkSpacesClient

client: WorkSpacesClient = boto3.client("workspaces")

# now client usage is checked by mypy and IDE should provide code auto-complete

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: WorkSpacesClient = session.client("workspaces")

Paginators annotations

mypy_boto3_workspaces.paginator module contains type annotations for all paginators.

from mypy_boto3_workspaces import WorkSpacesClient
from mypy_boto3_workspaces.paginator import (
    DescribeAccountModificationsPaginator,
    DescribeIpGroupsPaginator,
    DescribeWorkspaceBundlesPaginator,
    DescribeWorkspaceDirectoriesPaginator,
    DescribeWorkspaceImagesPaginator,
    DescribeWorkspacesPaginator,
    DescribeWorkspacesConnectionStatusPaginator,
    ListAvailableManagementCidrRangesPaginator,
)

client: WorkSpacesClient = boto3.client("workspaces")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
describe_account_modifications_paginator: DescribeAccountModificationsPaginator = client.get_paginator("describe_account_modifications")
describe_ip_groups_paginator: DescribeIpGroupsPaginator = client.get_paginator("describe_ip_groups")
describe_workspace_bundles_paginator: DescribeWorkspaceBundlesPaginator = client.get_paginator("describe_workspace_bundles")
describe_workspace_directories_paginator: DescribeWorkspaceDirectoriesPaginator = client.get_paginator("describe_workspace_directories")
describe_workspace_images_paginator: DescribeWorkspaceImagesPaginator = client.get_paginator("describe_workspace_images")
describe_workspaces_paginator: DescribeWorkspacesPaginator = client.get_paginator("describe_workspaces")
describe_workspaces_connection_status_paginator: DescribeWorkspacesConnectionStatusPaginator = client.get_paginator("describe_workspaces_connection_status")
list_available_management_cidr_ranges_paginator: ListAvailableManagementCidrRangesPaginator = client.get_paginator("list_available_management_cidr_ranges")

Typed dictionations

mypy_boto3_workspaces.type_defs module contains structures and shapes assembled to typed dictionaries for additional type checking.

from mypy_boto3_workspaces.type_defs import AccountModificationTypeDef, ...

def get_structure() -> AccountModificationTypeDef:
    return {
      ...
    }

Dynamic type annotations

mypy_boto3 command generates boto3.client/resource type annotations for mypy_boto3_workspaces and other installed services.

# Run this command after you add or remove service packages
python -m mypy_boto3

Generated type annotations provide overloads for boto3.client and boto3.resource, boto3.Session.client and boto3.Session.resource functions, so explicit type annotations are not needed.

  • mypy supports function overloads as expected
  • PyCharm also supports function overloads, but consumes a lot of RAM, use carefully if you have many services installed
  • VSCode does not currently support function overloads, use explicit type annotations
import boto3

# Type is discovered correctly by mypy and PyCharm
# VSCode still needs explicit type annotations
client = boto3.client("workspaces")

session_client = boto3.Session().client("workspaces")

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