mypy-boto3-rekognition 1.14.48.0

Type annotations for boto3.Rekognition 1.14.48 service, generated by mypy-boto3-buider 2.2.0

mypy-boto3-rekognition

Type annotations for boto3.Rekognition 1.14.48 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 Rekognition service.

python -m pip install boto3-stubs[rekognition]

How to use

Client annotations

RekognitionClient provides annotations for boto3.client("rekognition").

import boto3

from mypy_boto3_rekognition import RekognitionClient
from mypy_boto3_rekognition.paginator import (
    DescribeProjectsPaginator,
    DescribeProjectVersionsPaginator,
    ListCollectionsPaginator,
    ListFacesPaginator,
    ListStreamProcessorsPaginator,
)
from mypy_boto3_rekognition.type_defs import AgeRangeTypeDef, ...
from mypy_boto3_rekognition.waiter import (
    ProjectVersionRunningWaiter,
    ProjectVersionTrainingCompletedWaiter,
)

client: RekognitionClient = boto3.client("rekognition")

# 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: RekognitionClient = session.client("rekognition")

Paginators annotations

mypy_boto3_rekognition.paginator module contains type annotations for all paginators.

client: RekognitionClient = boto3.client("rekognition")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
describe_project_versions_paginator: DescribeProjectVersionsPaginator = client.get_paginator("describe_project_versions")
describe_projects_paginator: DescribeProjectsPaginator = client.get_paginator("describe_projects")
list_collections_paginator: ListCollectionsPaginator = client.get_paginator("list_collections")
list_faces_paginator: ListFacesPaginator = client.get_paginator("list_faces")
list_stream_processors_paginator: ListStreamProcessorsPaginator = client.get_paginator("list_stream_processors")

Waiters annotations

mypy_boto3_rekognition.waiter module contains type annotations for all waiters.

client: RekognitionClient = boto3.client("rekognition")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
project_version_running_waiter: ProjectVersionRunningWaiter = client.get_waiter("project_version_running")
project_version_training_completed_waiter: ProjectVersionTrainingCompletedWaiter = client.get_waiter("project_version_training_completed")

Typed dictionations

mypy_boto3_rekognition.type_defs module contains structures and shapes assembled to typed dictionaries for additional type checking.

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

Dynamic type annotations

mypy_boto3 command generates boto3.client/resource type annotations for mypy_boto3_rekognition 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("rekognition")

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