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PrivateCAConnectorforSCEP module#

Index > PrivateCAConnectorforSCEP

Auto-generated documentation for PrivateCAConnectorforSCEP type annotations stubs module types-aiobotocore-pca-connector-scep.

How to install#

You can generate type annotations for aiobotocore package locally with mypy-boto3-builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'aiobotocore==2.25.0' mypy-boto3-builder
  2. Select aiobotocore AWS SDK.
  3. Add PrivateCAConnectorforSCEP service.
  4. Use provided commands to install generated packages.

From PyPI with pip#

Install types-aiobotocore for PrivateCAConnectorforSCEP service.

# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[pca-connector-scep]'

# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-aiobotocore-lite[pca-connector-scep]'

# standalone installation
python -m pip install types-aiobotocore-pca-connector-scep

How to uninstall#

python -m pip uninstall -y types-aiobotocore-pca-connector-scep

Usage#

Code samples can be found in Examples.

PrivateCAConnectorforSCEPClient#

Type annotations and code completion for session.create_client("pca-connector-scep") as PrivateCAConnectorforSCEPClient boto3 documentation

# PrivateCAConnectorforSCEPClient usage example

from aiobotocore.session import get_session

from types_aiobotocore_pca_connector_scep.client import PrivateCAConnectorforSCEPClient


session = get_session()
async with session.create_client("pca-connector-scep") as client:
    client: PrivateCAConnectorforSCEPClient

Paginators#

Type annotations and code completion for paginators from session.create_client("pca-connector-scep").get_paginator("...").

# ListChallengeMetadataPaginator usage example

from types_aiobotocore_pca_connector_scep.paginator import ListChallengeMetadataPaginator

def get_list_challenge_metadata_paginator() -> ListChallengeMetadataPaginator:
    return client.get_paginator("list_challenge_metadata"))

Literals#

Type annotations for literals used in methods and schema.

# ConnectorStatusReasonType usage example

from types_aiobotocore_pca_connector_scep.literals import ConnectorStatusReasonType

def get_value() -> ConnectorStatusReasonType:
    return "INTERNAL_FAILURE"

Type definitions#

Type annotations for type definitions used in methods and schema.