Skip to main content

Type annotations for aiobotocore.RedshiftDataAPIService 2.5.0 service generated with mypy-boto3-builder 7.13.0

Project description

types-aiobotocore-redshift-data

PyPI - types-aiobotocore-redshift-data PyPI - Python Version Docs PyPI - Downloads

boto3.typed

Type annotations for aiobotocore.RedshiftDataAPIService 2.5.0 service compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated by mypy-boto3-builder 7.13.0.

More information can be found on types-aiobotocore page and in types-aiobotocore-redshift-data docs.

See how it helps to find and fix potential bugs:

boto3-stubs demo

How to install

From PyPI with pip

Install types-aiobotocore for RedshiftDataAPIService service.

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


# 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[redshift-data]'


# standalone installation
python -m pip install types-aiobotocore-redshift-data

How to uninstall

python -m pip uninstall -y types-aiobotocore-redshift-data

Usage

VSCode

python -m pip install 'types-aiobotocore[redshift-data]'

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[redshift-data] in your environment:

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

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

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

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

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

RedshiftDataAPIServiceClient provides annotations for session.create_client("redshift-data").

from aiobotocore.session import get_session

from types_aiobotocore_redshift_data import RedshiftDataAPIServiceClient

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

Paginators annotations

types_aiobotocore_redshift_data.paginator module contains type annotations for all paginators.

from aiobotocore.session import get_session

from types_aiobotocore_redshift_data import RedshiftDataAPIServiceClient
from types_aiobotocore_redshift_data.paginator import (
    DescribeTablePaginator,
    GetStatementResultPaginator,
    ListDatabasesPaginator,
    ListSchemasPaginator,
    ListStatementsPaginator,
    ListTablesPaginator,
)

session = get_session()
async with session.create_client("redshift-data") as client:
    client: RedshiftDataAPIServiceClient

    # Explicit type annotations are optional here
    # Types should be correctly discovered by mypy and IDEs
    describe_table_paginator: DescribeTablePaginator = client.get_paginator("describe_table")
    get_statement_result_paginator: GetStatementResultPaginator = client.get_paginator(
        "get_statement_result"
    )
    list_databases_paginator: ListDatabasesPaginator = client.get_paginator("list_databases")
    list_schemas_paginator: ListSchemasPaginator = client.get_paginator("list_schemas")
    list_statements_paginator: ListStatementsPaginator = client.get_paginator("list_statements")
    list_tables_paginator: ListTablesPaginator = client.get_paginator("list_tables")

Literals

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

from types_aiobotocore_redshift_data.literals import (
    DescribeTablePaginatorName,
    GetStatementResultPaginatorName,
    ListDatabasesPaginatorName,
    ListSchemasPaginatorName,
    ListStatementsPaginatorName,
    ListTablesPaginatorName,
    StatementStatusStringType,
    StatusStringType,
    RedshiftDataAPIServiceServiceName,
    ServiceName,
    ResourceServiceName,
    PaginatorName,
)


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

Typed dictionaries

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

from types_aiobotocore_redshift_data.type_defs import (
    BatchExecuteStatementInputRequestTypeDef,
    ResponseMetadataTypeDef,
    CancelStatementRequestRequestTypeDef,
    ColumnMetadataTypeDef,
    DescribeStatementRequestRequestTypeDef,
    SqlParameterTypeDef,
    SubStatementDataTypeDef,
    PaginatorConfigTypeDef,
    DescribeTableRequestRequestTypeDef,
    FieldTypeDef,
    GetStatementResultRequestRequestTypeDef,
    ListDatabasesRequestRequestTypeDef,
    ListSchemasRequestRequestTypeDef,
    ListStatementsRequestRequestTypeDef,
    ListTablesRequestRequestTypeDef,
    TableMemberTypeDef,
    BatchExecuteStatementOutputTypeDef,
    CancelStatementResponseTypeDef,
    ExecuteStatementOutputTypeDef,
    ListDatabasesResponseTypeDef,
    ListSchemasResponseTypeDef,
    DescribeTableResponseTypeDef,
    ExecuteStatementInputRequestTypeDef,
    StatementDataTypeDef,
    DescribeStatementResponseTypeDef,
    DescribeTableRequestDescribeTablePaginateTypeDef,
    GetStatementResultRequestGetStatementResultPaginateTypeDef,
    ListDatabasesRequestListDatabasesPaginateTypeDef,
    ListSchemasRequestListSchemasPaginateTypeDef,
    ListStatementsRequestListStatementsPaginateTypeDef,
    ListTablesRequestListTablesPaginateTypeDef,
    GetStatementResultResponseTypeDef,
    ListTablesResponseTypeDef,
    ListStatementsResponseTypeDef,
)


def get_structure() -> BatchExecuteStatementInputRequestTypeDef:
    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-redshift-data 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-redshift-data-2.5.0.post1.tar.gz (18.3 kB view details)

Uploaded Source

Built Distribution

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

File details

Details for the file types-aiobotocore-redshift-data-2.5.0.post1.tar.gz.

File metadata

File hashes

Hashes for types-aiobotocore-redshift-data-2.5.0.post1.tar.gz
Algorithm Hash digest
SHA256 5fd6e710e7eadff41bcc3f0b1e738d0048937f4d346f349c542fa8e2e2dc6a8c
MD5 3b80e76a665624fe75e930e399c147fd
BLAKE2b-256 189592a5c72a12752f2616f765f8924debb81ca40a40187186b1e5d835a1b8ee

See more details on using hashes here.

File details

Details for the file types_aiobotocore_redshift_data-2.5.0.post1-py3-none-any.whl.

File metadata

File hashes

Hashes for types_aiobotocore_redshift_data-2.5.0.post1-py3-none-any.whl
Algorithm Hash digest
SHA256 a1d1e3a0affc23489d62824236e03123b8008c098341210130cac095376d3341
MD5 40b27802d100a18ed120a97ba7e73330
BLAKE2b-256 67a0f89b154dcc01ab25e7a8651575a5f41c47f2249fe31980126a42847e30f3

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