Examples#
Index > CodePipeline > Examples
Auto-generated documentation for CodePipeline type annotations stubs module types-aiobotocore-codepipeline.
Client#
Implicit type annotations#
Can be used with types-aioboto3[codepipeline]
package installed.
Write your CodePipeline
code as usual,
type checking and code completion should work out of the box.
# CodePipelineClient usage example
from aioboto3.session import Session
session = Session()
async with session.client("codepipeline") as client: # (1)
result = await client.acknowledge_job() # (2)
- client: CodePipelineClient
- result: AcknowledgeJobOutputTypeDef
# ListActionExecutionsPaginator usage example
from aioboto3.session import Session
session = Session()
async with session.client("codepipeline") as client: # (1)
paginator = client.get_paginator("list_action_executions") # (2)
async for item in paginator.paginate(...):
print(item) # (3)
- client: CodePipelineClient
- paginator: ListActionExecutionsPaginator
- item: ListActionExecutionsOutputTypeDef
Explicit type annotations#
With types-aioboto3-lite[codepipeline]
or a standalone types_aiobotocore_codepipeline
package, you have to explicitly specify
client: CodePipelineClient
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.
# CodePipelineClient usage example with type annotations
from aioboto3.session import Session
from types_aiobotocore_codepipeline.client import CodePipelineClient
from types_aiobotocore_codepipeline.type_defs import AcknowledgeJobOutputTypeDef
from types_aiobotocore_codepipeline.type_defs import AcknowledgeJobInputRequestTypeDef
session = Session()
client: CodePipelineClient
async with session.client("codepipeline") as client: # (1)
kwargs: AcknowledgeJobInputRequestTypeDef = {...} # (2)
result: AcknowledgeJobOutputTypeDef = await client.acknowledge_job(**kwargs) # (3)
- client: CodePipelineClient
- kwargs: AcknowledgeJobInputRequestTypeDef
- result: AcknowledgeJobOutputTypeDef
# ListActionExecutionsPaginator usage example with type annotations
from aioboto3.session import Session
from types_aiobotocore_codepipeline.client import CodePipelineClient
from types_aiobotocore_codepipeline.paginator import ListActionExecutionsPaginator
from types_aiobotocore_codepipeline.type_defs import ListActionExecutionsOutputTypeDef
session = Session()
client: CodePipelineClient
async with session.client("codepipeline") as client: # (1)
paginator: ListActionExecutionsPaginator = client.get_paginator("list_action_executions") # (2)
async for item in paginator.paginate(...):
item: ListActionExecutionsOutputTypeDef
print(item) # (3)
- client: CodePipelineClient
- paginator: ListActionExecutionsPaginator
- item: ListActionExecutionsOutputTypeDef