mypy-boto3-pca-connector-scep


Type annotations for
boto3 PrivateCAConnectorforSCEP 1.40.58
compatible with VSCode,
PyCharm,
Emacs,
Sublime Text,
mypy,
pyright and other tools.
Generated with
mypy-boto3-builder 8.11.0.
More information can be found on
boto3-stubs page and in
mypy-boto3-pca-connector-scep docs.
See how it helps you find and fix potential bugs:

How to install
Generate locally (recommended)
You can generate type annotations for boto3 package locally with
mypy-boto3-builder. Use
uv for build
isolation.
- Run mypy-boto3-builder in your package root directory:
uvx --with 'boto3==1.40.58' mypy-boto3-builder
- Select
boto3-stubs AWS SDK.
- Add
PrivateCAConnectorforSCEP service.
- Use provided commands to install generated packages.
VSCode extension
Add
AWS Boto3
extension to your VSCode and run AWS boto3: Quick Start command.
Click Modify and select boto3 common and PrivateCAConnectorforSCEP.
From PyPI with pip
Install boto3-stubs for PrivateCAConnectorforSCEP service.
python -m pip install 'boto3-stubs[pca-connector-scep]'
python -m pip install 'boto3-stubs-lite[pca-connector-scep]'
python -m pip install mypy-boto3-pca-connector-scep
How to uninstall
python -m pip uninstall -y mypy-boto3-pca-connector-scep
Usage
VSCode
python -m pip install 'boto3-stubs[pca-connector-scep]'
Both type checking and code completion should now work. No explicit type
annotations required, write your boto3 code as usual.
PyCharm
⚠️ Due to slow PyCharm performance on Literal overloads (issue
PY-40997), it is recommended
to use boto3-stubs-lite until
the issue is resolved.
⚠️ If you experience slow performance and high CPU usage, try to disable
PyCharm type checker and use mypy or
pyright instead.
⚠️ To continue using PyCharm type checker, you can try to replace
boto3-stubs with
boto3-stubs-lite:
pip uninstall boto3-stubs
pip install boto3-stubs-lite
Install boto3-stubs[pca-connector-scep] in your environment:
python -m pip install 'boto3-stubs[pca-connector-scep]'
Both type checking and code completion should now work.
Emacs
- Install
boto3-stubs with services you use in your environment:
python -m pip install 'boto3-stubs[pca-connector-scep]'
(use-package lsp-pyright
:ensure t
:hook (python-mode . (lambda ()
(require 'lsp-pyright)
(lsp))) ; or lsp-deferred
:init (when (executable-find "python3")
(setq lsp-pyright-python-executable-cmd "python3"))
)
- Make sure emacs uses the environment where you have installed
boto3-stubs
Type checking should now work. No explicit type annotations required, write
your boto3 code as usual.
Sublime Text
- Install
boto3-stubs[pca-connector-scep] with services you use in your
environment:
python -m pip install 'boto3-stubs[pca-connector-scep]'
Type checking should now work. No explicit type annotations required, write
your boto3 code as usual.
Other IDEs
Not tested, but as long as your IDE supports mypy or pyright, everything
should work.
mypy
- Install
mypy: python -m pip install mypy
- Install
boto3-stubs[pca-connector-scep] in your environment:
python -m pip install 'boto3-stubs[pca-connector-scep]'
Type checking should now work. No explicit type annotations required, write
your boto3 code as usual.
pyright
- Install
pyright: npm i -g pyright
- Install
boto3-stubs[pca-connector-scep] in your environment:
python -m pip install 'boto3-stubs[pca-connector-scep]'
Optionally, you can install boto3-stubs to typings directory.
Type checking should now work. No explicit type annotations required, write
your boto3 code as usual.
Pylint compatibility
It is totally safe to use TYPE_CHECKING flag in order to avoid
mypy-boto3-pca-connector-scep dependency in production. However, there is an
issue in pylint that it complains about undefined variables. To fix it, set
all types to object in non-TYPE_CHECKING mode.
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from mypy_boto3_ec2 import EC2Client, EC2ServiceResource
from mypy_boto3_ec2.waiters import BundleTaskCompleteWaiter
from mypy_boto3_ec2.paginators import DescribeVolumesPaginator
else:
EC2Client = object
EC2ServiceResource = object
BundleTaskCompleteWaiter = object
DescribeVolumesPaginator = object
...
Explicit type annotations
Client annotations
PrivateCAConnectorforSCEPClient provides annotations for
boto3.client("pca-connector-scep").
from boto3.session import Session
from mypy_boto3_pca_connector_scep import PrivateCAConnectorforSCEPClient
client: PrivateCAConnectorforSCEPClient = Session().client("pca-connector-scep")
Paginators annotations
mypy_boto3_pca_connector_scep.paginator module contains type annotations for
all paginators.
from boto3.session import Session
from mypy_boto3_pca_connector_scep import PrivateCAConnectorforSCEPClient
from mypy_boto3_pca_connector_scep.paginator import (
ListChallengeMetadataPaginator,
ListConnectorsPaginator,
)
client: PrivateCAConnectorforSCEPClient = Session().client("pca-connector-scep")
list_challenge_metadata_paginator: ListChallengeMetadataPaginator = client.get_paginator(
"list_challenge_metadata"
)
list_connectors_paginator: ListConnectorsPaginator = client.get_paginator("list_connectors")
Literals
mypy_boto3_pca_connector_scep.literals module contains literals extracted
from shapes that can be used in user code for type checking.
Full list of PrivateCAConnectorforSCEP Literals can be found in
docs.
from mypy_boto3_pca_connector_scep.literals import ConnectorStatusReasonType
def check_value(value: ConnectorStatusReasonType) -> bool: ...
Type definitions
mypy_boto3_pca_connector_scep.type_defs module contains structures and shapes
assembled to typed dictionaries and unions for additional type checking.
Full list of PrivateCAConnectorforSCEP TypeDefs can be found in
docs.
from mypy_boto3_pca_connector_scep.type_defs import ChallengeMetadataSummaryTypeDef
def get_value() -> ChallengeMetadataSummaryTypeDef:
return {
"Arn": ...,
}
How it works
Fully automated
mypy-boto3-builder carefully
generates type annotations for each service, patiently waiting for boto3
updates. It delivers 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 botocore schemas.
- Type annotations include up-to-date documentation.
- Link to documentation is provided for every method.
- Code is processed by ruff for readability.
What's new
Implemented features
- Fully type annotated
boto3, botocore, aiobotocore and aioboto3
libraries
mypy, pyright, VSCode, PyCharm, Sublime Text and Emacs
compatibility
Client, ServiceResource, Resource, Waiter Paginator type
annotations for each service
- Generated
TypeDefs for each service
- Generated
Literals for each service
- Auto discovery of types for
boto3.client and boto3.resource calls
- Auto discovery of types for
session.client and session.resource calls
- Auto discovery of types for
client.get_waiter and client.get_paginator
calls
- Auto discovery of types for
ServiceResource and Resource collections
- Auto discovery of types for
aiobotocore.Session.create_client calls
Latest changes
Builder changelog can be found in
Releases.
Versioning
mypy-boto3-pca-connector-scep version is the same as related boto3 version
and follows
Python Packaging version specifiers.
Thank you
Documentation
All services type annotations can be found in
boto3 docs
Support and contributing
This package is auto-generated. Please reports any bugs or request new features
in mypy-boto3-builder
repository.