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Type annotations for boto3.DataPipeline 1.14.15 service, generated by mypy-boto3-buider 2.2.0

Project description

mypy-boto3-datapipeline

PyPI - mypy-boto3-datapipeline PyPI - Python Version Docs

Type annotations for boto3.DataPipeline 1.14.15 service compatible with mypy, VSCode, PyCharm and other tools.

Generated by mypy-boto3-buider 2.2.0.

More information can be found on boto3-stubs page.

How to install

Make sure you have mypy installed and activated in your IDE.

Install boto3-stubs for DataPipeline service.

python -m pip install boto3-stubs[datapipeline]

How to use

Client annotations

DataPipelineClient provides annotations for boto3.client("datapipeline").

import boto3

from mypy_boto3_datapipeline import DataPipelineClient
from mypy_boto3_datapipeline.paginator import (
    DescribeObjectsPaginator,
    ListPipelinesPaginator,
    QueryObjectsPaginator,
)
from mypy_boto3_datapipeline.type_defs import FieldTypeDef, ...

client: DataPipelineClient = boto3.client("datapipeline")

# 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: DataPipelineClient = session.client("datapipeline")

Paginators annotations

mypy_boto3_datapipeline.paginator module contains type annotations for all paginators.

client: DataPipelineClient = boto3.client("datapipeline")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
describe_objects_paginator: DescribeObjectsPaginator = client.get_paginator("describe_objects")
list_pipelines_paginator: ListPipelinesPaginator = client.get_paginator("list_pipelines")
query_objects_paginator: QueryObjectsPaginator = client.get_paginator("query_objects")

Typed dictionations

mypy_boto3_datapipeline.type_defs module contains structures and shapes assembled to typed dictionaries for additional type checking.

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

Dynamic type annotations

mypy_boto3 command generates boto3.client/resource type annotations for mypy_boto3_datapipeline and other installed services.

# Run this command after you add or remove service packages
python -m mypy_boto3

Generated type annotations provide overloads for boto3.client and boto3.resource, boto3.Session.client and boto3.Session.resource functions, so explicit type annotations are not needed.

  • mypy supports function overloads as expected
  • PyCharm also supports function overloads, but consumes a lot of RAM, use carefully if you have many services installed
  • VSCode does not currently support function overloads, use explicit type annotations
# Type is discovered correctly by mypy and PyCharm
# VSCode still needs explicit type annotations
client = boto3.client("datapipeline")

session_client = boto3.Session().client("datapipeline")

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