mypy-boto3-databrew 1.17.3.0

Type annotations for boto3.GlueDataBrew 1.17.3 service, generated by mypy-boto3-buider 4.4.0

mypy-boto3-databrew

Type annotations for boto3.GlueDataBrew 1.17.3 service compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated by mypy-boto3-buider 4.4.0.

More information can be found on boto3-stubs page.

See how it helps to find and fix potential bugs:

• mypy-boto3-databrew
  • How to install
  • Usage
    • VSCode
    • PyCharm
    • Other IDEs
    • mypy
    • pyright
  • Explicit type annotations
    • Client annotations
    • Paginators annotations
    • Waiters annotations
    • Service Resource annotations
    • Other resources annotations
    • Collections annotations
    • Typed dictionations

How to install

Install boto3-stubs for GlueDataBrew service.

python -m pip install boto3-stubs[databrew]

Usage

VSCode

• Install Python extension
• Install Pylance extension
• Set Pylance as your Python Language Server
• Install boto-stubs[databrew] in your environment: python -m pip install 'boto3-stubs[databrew]'

Both type checking and auto-complete should work for GlueDataBrew service. No explicit type annotations required, write your boto3 code as usual.

PyCharm

• Install boto-stubs[databrew] in your environment: python -m pip install 'boto3-stubs[databrew]'

Both type checking and auto-complete should work for GlueDataBrew service. No explicit type annotations required, write your boto3 code as usual. Auto-complete can be slow on big projects or if you have a lot of installed boto3-stubs submodules.

Other IDEs

Not tested, but as long as your IDE support mypy or pyright, everything should work.

mypy

• Install mypy: python -m pip install mypy
• Install boto-stubs[databrew] in your environment: python -m pip install 'boto3-stubs[databrew]'
• Run mypy as usual

Type checking should work for GlueDataBrew service. No explicit type annotations required, write your boto3 code as usual.

pyright

• Install pyright: yarn global add pyright
• Install boto-stubs[databrew] in your environment: python -m pip install 'boto3-stubs[databrew]'
• Optionally, you can install boto3-stubs to typings folder.

Type checking should work for GlueDataBrew service. No explicit type annotations required, write your boto3 code as usual.

Explicit type annotations

Client annotations

GlueDataBrewClient provides annotations for boto3.client("databrew").

import boto3

from mypy_boto3_databrew import GlueDataBrewClient

client: GlueDataBrewClient = boto3.client("databrew")

# now client usage is checked by mypy and IDE should provide code auto-complete

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: GlueDataBrewClient = session.client("databrew")

Paginators annotations

mypy_boto3_databrew.paginator module contains type annotations for all paginators.

from mypy_boto3_databrew import GlueDataBrewClient
from mypy_boto3_databrew.paginator import (
    ListDatasetsPaginator,
    ListJobRunsPaginator,
    ListJobsPaginator,
    ListProjectsPaginator,
    ListRecipeVersionsPaginator,
    ListRecipesPaginator,
    ListSchedulesPaginator,
)

client: GlueDataBrewClient = boto3.client("databrew")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
list_datasets_paginator: ListDatasetsPaginator = client.get_paginator("list_datasets")
list_job_runs_paginator: ListJobRunsPaginator = client.get_paginator("list_job_runs")
list_jobs_paginator: ListJobsPaginator = client.get_paginator("list_jobs")
list_projects_paginator: ListProjectsPaginator = client.get_paginator("list_projects")
list_recipe_versions_paginator: ListRecipeVersionsPaginator = client.get_paginator("list_recipe_versions")
list_recipes_paginator: ListRecipesPaginator = client.get_paginator("list_recipes")
list_schedules_paginator: ListSchedulesPaginator = client.get_paginator("list_schedules")

Typed dictionations

mypy_boto3_databrew.type_defs module contains structures and shapes assembled to typed dictionaries for additional type checking.

from mypy_boto3_databrew.type_defs import (
    ConditionExpressionTypeDef,
    CsvOptionsTypeDef,
    CsvOutputOptionsTypeDef,
    DataCatalogInputDefinitionTypeDef,
    DatasetTypeDef,
    ExcelOptionsTypeDef,
    FormatOptionsTypeDef,
    InputTypeDef,
    JobRunTypeDef,
    JobTypeDef,
    JsonOptionsTypeDef,
    OutputFormatOptionsTypeDef,
    OutputTypeDef,
    ProjectTypeDef,
    RecipeActionTypeDef,
    RecipeReferenceTypeDef,
    RecipeStepTypeDef,
    RecipeTypeDef,
    RecipeVersionErrorDetailTypeDef,
    ResponseMetadata,
    S3LocationTypeDef,
    SampleTypeDef,
    ScheduleTypeDef,
    BatchDeleteRecipeVersionResponseTypeDef,
    CreateDatasetResponseTypeDef,
    CreateProfileJobResponseTypeDef,
    CreateProjectResponseTypeDef,
    CreateRecipeJobResponseTypeDef,
    CreateRecipeResponseTypeDef,
    CreateScheduleResponseTypeDef,
    DeleteDatasetResponseTypeDef,
    DeleteJobResponseTypeDef,
    DeleteProjectResponseTypeDef,
    DeleteRecipeVersionResponseTypeDef,
    DeleteScheduleResponseTypeDef,
    DescribeDatasetResponseTypeDef,
    DescribeJobResponseTypeDef,
    DescribeJobRunResponseTypeDef,
    DescribeProjectResponseTypeDef,
    DescribeRecipeResponseTypeDef,
    DescribeScheduleResponseTypeDef,
    ListDatasetsResponseTypeDef,
    ListJobRunsResponseTypeDef,
    ListJobsResponseTypeDef,
    ListProjectsResponseTypeDef,
    ListRecipeVersionsResponseTypeDef,
    ListRecipesResponseTypeDef,
    ListSchedulesResponseTypeDef,
    ListTagsForResourceResponseTypeDef,
    PaginatorConfigTypeDef,
    PublishRecipeResponseTypeDef,
    SendProjectSessionActionResponseTypeDef,
    StartJobRunResponseTypeDef,
    StartProjectSessionResponseTypeDef,
    StopJobRunResponseTypeDef,
    UpdateDatasetResponseTypeDef,
    UpdateProfileJobResponseTypeDef,
    UpdateProjectResponseTypeDef,
    UpdateRecipeJobResponseTypeDef,
    UpdateRecipeResponseTypeDef,
    UpdateScheduleResponseTypeDef,
    ViewFrameTypeDef,
)

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