Skip to main content

Type annotations for aiobotocore.CloudSearchDomain 2.2.0 service generated with mypy-boto3-builder 7.4.0

Project description

types-aiobotocore-cloudsearchdomain

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

boto3.typed

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

Generated by mypy-boto3-builder 7.4.0.

More information can be found on types-aiobotocore page and in types-aiobotocore-cloudsearchdomain 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 CloudSearchDomain.

From PyPI with pip

Install types-aiobotocore for CloudSearchDomain service.

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


# 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[cloudsearchdomain]'


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

How to uninstall

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

Usage

VSCode

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

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[cloudsearchdomain] in your environment:

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

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

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[cloudsearchdomain] in your environment:
python -m pip install 'types-aiobotocore[cloudsearchdomain]'`

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[cloudsearchdomain] in your environment:
python -m pip install 'types-aiobotocore[cloudsearchdomain]'

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

CloudSearchDomainClient provides annotations for session.create_client("cloudsearchdomain").

from aiobotocore.session import get_session

from types_aiobotocore_cloudsearchdomain import CloudSearchDomainClient

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

Literals

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

from types_aiobotocore_cloudsearchdomain.literals import (
    ContentTypeType,
    QueryParserType,
    CloudSearchDomainServiceName,
    ServiceName,
    ResourceServiceName,
)

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

Typed dictionaries

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

from types_aiobotocore_cloudsearchdomain.type_defs import (
    BucketInfoTypeDef,
    BucketTypeDef,
    DocumentServiceWarningTypeDef,
    FieldStatsTypeDef,
    HitTypeDef,
    HitsTypeDef,
    ResponseMetadataTypeDef,
    SearchRequestRequestTypeDef,
    SearchResponseTypeDef,
    SearchStatusTypeDef,
    SuggestModelTypeDef,
    SuggestRequestRequestTypeDef,
    SuggestResponseTypeDef,
    SuggestStatusTypeDef,
    SuggestionMatchTypeDef,
    UploadDocumentsRequestRequestTypeDef,
    UploadDocumentsResponseTypeDef,
)

def get_structure() -> BucketInfoTypeDef:
    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-cloudsearchdomain 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


Download files

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

Source Distribution

Built Distribution

File details

Details for the file types-aiobotocore-cloudsearchdomain-2.2.0.tar.gz.

File metadata

  • Download URL: types-aiobotocore-cloudsearchdomain-2.2.0.tar.gz
  • Upload date:
  • Size: 13.4 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-cloudsearchdomain-2.2.0.tar.gz
Algorithm Hash digest
SHA256 ee69f8bb3b2020829fa1854fe25e70a69ec509be3fe61b99a1de13a7b062e965
MD5 b20b7383404332bb6f35346099896a77
BLAKE2b-256 b3712aaf7a4ac49f8d12ec0d5e04c02ab61b1c4054949eeb345662c426762d88

See more details on using hashes here.

File details

Details for the file types_aiobotocore_cloudsearchdomain-2.2.0-py3-none-any.whl.

File metadata

  • Download URL: types_aiobotocore_cloudsearchdomain-2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 17.0 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_cloudsearchdomain-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9b3a9cb04ba3986475ea411e75ed69b0c8b8211c8a236584a62db5d085bf7c37
MD5 a9fc96ac5a22b5674f157dfe0fc763d4
BLAKE2b-256 91c2b3e48f168819a0e647b5f794dd48cd5ad34d2a3cff7f0f2421a64b19e9fb

See more details on using hashes here.

Supported by

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