Skip to main content

Type annotations for aiobotocore.STS 2.2.0 service generated with mypy-boto3-builder 7.4.1

Project description

types-aiobotocore-sts

PyPI - types-aiobotocore-sts PyPI - Python Version Docs PyPI - Downloads

boto3.typed

Type annotations for aiobotocore.STS 2.2.0 service compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated by mypy-boto3-builder 7.4.1.

More information can be found on types-aiobotocore page and in types-aiobotocore-sts docs

See how it helps to find and fix potential bugs:

boto3-stubs demo

How to install

VSCode extension

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and STS.

From PyPI with pip

Install types-aiobotocore for STS service.

# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[sts]'


# 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[sts]'


# standalone installation
python -m pip install types-aiobotocore-sts

How to uninstall

python -m pip uninstall -y types-aiobotocore-sts

Usage

VSCode

python -m pip install 'types-aiobotocore[sts]'

Both type checking and code completion should now work. No explicit type annotations required, write your aiobotocore code as usual.

PyCharm

Install types-aiobotocore-lite[sts] in your environment:

python -m pip install 'types-aiobotocore-lite[sts]'`

Both type checking and code completion should now work. Explicit type annotations are required.

Use types-aiobotocore package instead for implicit type discovery.

Emacs

  • Install types-aiobotocore with services you use in your environment:
python -m pip install 'types-aiobotocore[sts]'
(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 types-aiobotocore

Type checking should now work. No explicit type annotations required, write your aiobotocore code as usual.

Sublime Text

  • Install types-aiobotocore[sts] with services you use in your environment:
python -m pip install 'types-aiobotocore[sts]'

Type checking should now work. No explicit type annotations required, write your aiobotocore 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 types-aiobotocore[sts] in your environment:
python -m pip install 'types-aiobotocore[sts]'`

Type checking should now work. No explicit type annotations required, write your aiobotocore code as usual.

pyright

  • Install pyright: npm i -g pyright
  • Install types-aiobotocore[sts] in your environment:
python -m pip install 'types-aiobotocore[sts]'

Optionally, you can install types-aiobotocore to typings folder.

Type checking should now work. No explicit type annotations required, write your aiobotocore code as usual.

Explicit type annotations

Client annotations

STSClient provides annotations for session.create_client("sts").

from aiobotocore.session import get_session

from types_aiobotocore_sts import STSClient

session = get_session()
async with session.create_client("sts") as client:
    client: STSClient
    # now client usage is checked by mypy and IDE should provide code completion

Literals

types_aiobotocore_sts.literals module contains literals extracted from shapes that can be used in user code for type checking.

from types_aiobotocore_sts.literals import (
    STSServiceName,
    ServiceName,
    ResourceServiceName,
)

def check_value(value: STSServiceName) -> bool:
    ...

Typed dictionaries

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

from types_aiobotocore_sts.type_defs import (
    AssumeRoleRequestRequestTypeDef,
    AssumeRoleResponseTypeDef,
    AssumeRoleWithSAMLRequestRequestTypeDef,
    AssumeRoleWithSAMLResponseTypeDef,
    AssumeRoleWithWebIdentityRequestRequestTypeDef,
    AssumeRoleWithWebIdentityResponseTypeDef,
    AssumedRoleUserTypeDef,
    CredentialsTypeDef,
    DecodeAuthorizationMessageRequestRequestTypeDef,
    DecodeAuthorizationMessageResponseTypeDef,
    FederatedUserTypeDef,
    GetAccessKeyInfoRequestRequestTypeDef,
    GetAccessKeyInfoResponseTypeDef,
    GetCallerIdentityResponseTypeDef,
    GetFederationTokenRequestRequestTypeDef,
    GetFederationTokenResponseTypeDef,
    GetSessionTokenRequestRequestTypeDef,
    GetSessionTokenResponseTypeDef,
    PolicyDescriptorTypeTypeDef,
    ResponseMetadataTypeDef,
    TagTypeDef,
)

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

How it works

Fully automated mypy-boto3-builder carefully generates type annotations for each service, patiently waiting for aiobotocore updates. It delivers a drop-in type annotations for you and makes sure that:

  • All available aiobotocore services are covered.
  • Each public class and method of every aiobotocore 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 and isort for readability.

What's new

Implemented features

  • Fully type annotated boto3, botocore and aiobotocore 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.session calls
  • Auto discovery of types for session.client and session.session 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

types-aiobotocore-sts version is the same as related aiobotocore version and follows PEP 440 format.

Thank you

Documentation

All services type annotations can be found in aiobotocore docs

Support and contributing

This package is auto-generated. Please reports any bugs or request new features in mypy-boto3-builder repository.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

types-aiobotocore-sts-2.2.0.post1.tar.gz (13.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

types_aiobotocore_sts-2.2.0.post1-py3-none-any.whl (17.6 kB view details)

Uploaded Python 3

File details

Details for the file types-aiobotocore-sts-2.2.0.post1.tar.gz.

File metadata

  • Download URL: types-aiobotocore-sts-2.2.0.post1.tar.gz
  • Upload date:
  • Size: 13.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for types-aiobotocore-sts-2.2.0.post1.tar.gz
Algorithm Hash digest
SHA256 ac695eb449e5ad9c140376bfa015f74f6e48ba0bcde2a6320397c5a10567fa16
MD5 0d07504e43e515ca80e521e587da6b9d
BLAKE2b-256 62b67a35192fa1f97eacf11353f6d5c75e382d9eae5bddfd20a524553dc3f210

See more details on using hashes here.

File details

Details for the file types_aiobotocore_sts-2.2.0.post1-py3-none-any.whl.

File metadata

  • Download URL: types_aiobotocore_sts-2.2.0.post1-py3-none-any.whl
  • Upload date:
  • Size: 17.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for types_aiobotocore_sts-2.2.0.post1-py3-none-any.whl
Algorithm Hash digest
SHA256 f4ee6d0cab38ac892aa849ab7b5465b621016de5164bcb8434e4e05c2a9fc8da
MD5 7e19b429214a2591f12991f31a55f356
BLAKE2b-256 e718fa95961909b024c01e88e7efc0725b36acce3e0c114d23b2506c09843c64

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page