Examples

Index > EntityResolution > Examples

Auto-generated documentation for EntityResolution type annotations stubs module types-aiobotocore-entityresolution.

Client

Implicit type annotations

Can be used with types-aiobotocore[entityresolution] package installed.

Write your EntityResolution code as usual, type checking and code completion should work out of the box.

# EntityResolutionClient usage example

from aiobotocore.session import get_session


session = get_session()

async with session.create_client("entityresolution") as client:  # (1)
    result = await client.create_matching_workflow()  # (2)

1. client: EntityResolutionClient
2. result: CreateMatchingWorkflowOutputTypeDef

# ListMatchingJobsPaginator usage example

from aiobotocore.session import get_session


session = get_session()

async with session.create_client("entityresolution") as client:  # (1)
    paginator = client.get_paginator("list_matching_jobs")  # (2)
    async for item in paginator.paginate(...):
        print(item)  # (3)

1. client: EntityResolutionClient
2. paginator: ListMatchingJobsPaginator
3. item: ListMatchingJobsOutputTypeDef

Explicit type annotations

With types-aiobotocore-lite[entityresolution] or a standalone types_aiobotocore_entityresolution package, you have to explicitly specify client: EntityResolutionClient type annotation.

All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.

# EntityResolutionClient usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_entityresolution.client import EntityResolutionClient
from types_aiobotocore_entityresolution.type_defs import CreateMatchingWorkflowOutputTypeDef
from types_aiobotocore_entityresolution.type_defs import CreateMatchingWorkflowInputRequestTypeDef


session = get_session()

async with session.create_client("entityresolution") as client:
    client: EntityResolutionClient
    kwargs: CreateMatchingWorkflowInputRequestTypeDef = {...}
    result: CreateMatchingWorkflowOutputTypeDef = await client.create_matching_workflow(**kwargs)

# ListMatchingJobsPaginator usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_entityresolution.client import EntityResolutionClient
from types_aiobotocore_entityresolution.paginator import ListMatchingJobsPaginator
from types_aiobotocore_entityresolution.type_defs import ListMatchingJobsOutputTypeDef


session = get_session()

async with session.create_client("entityresolution") as client:
    client: EntityResolutionClient
    paginator: ListMatchingJobsPaginator = client.get_paginator("list_matching_jobs")
    async for item in paginator.paginate(...):
        item: ListMatchingJobsOutputTypeDef
        print(item)