Examples#
Index > DataPipeline > Examples
Auto-generated documentation for DataPipeline type annotations stubs module types-aiobotocore-datapipeline.
Client#
Implicit type annotations#
Can be used with types-aiobotocore[datapipeline]
package installed.
Write your DataPipeline
code as usual,
type checking and code completion should work out of the box.
# DataPipelineClient usage example
from aiobotocore.session import get_session
session = get_session()
async with session.create_client("datapipeline") as client: # (1)
result = await client.create_pipeline() # (2)
- client: DataPipelineClient
- result: CreatePipelineOutputTypeDef
# DescribeObjectsPaginator usage example
from aiobotocore.session import get_session
session = get_session()
async with session.create_client("datapipeline") as client: # (1)
paginator = client.get_paginator("describe_objects") # (2)
async for item in paginator.paginate(...):
print(item) # (3)
- client: DataPipelineClient
- paginator: DescribeObjectsPaginator
- item: DescribeObjectsOutputTypeDef
Explicit type annotations#
With types-aiobotocore-lite[datapipeline]
or a standalone types_aiobotocore_datapipeline
package, you have to explicitly specify
client: DataPipelineClient
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.
# DataPipelineClient usage example with type annotations
from aiobotocore.session import get_session
from types_aiobotocore_datapipeline.client import DataPipelineClient
from types_aiobotocore_datapipeline.type_defs import CreatePipelineOutputTypeDef
from types_aiobotocore_datapipeline.type_defs import CreatePipelineInputRequestTypeDef
session = get_session()
async with session.create_client("datapipeline") as client:
client: DataPipelineClient
kwargs: CreatePipelineInputRequestTypeDef = {...}
result: CreatePipelineOutputTypeDef = await client.create_pipeline(**kwargs)
# DescribeObjectsPaginator usage example with type annotations
from aiobotocore.session import get_session
from types_aiobotocore_datapipeline.client import DataPipelineClient
from types_aiobotocore_datapipeline.paginator import DescribeObjectsPaginator
from types_aiobotocore_datapipeline.type_defs import DescribeObjectsOutputTypeDef
session = get_session()
async with session.create_client("datapipeline") as client:
client: DataPipelineClient
paginator: DescribeObjectsPaginator = client.get_paginator("describe_objects")
async for item in paginator.paginate(...):
item: DescribeObjectsOutputTypeDef
print(item)