Type annotations for boto3.SFN 1.14.9 service, generated by mypy-boto3-buider 2.2.0
Project description
mypy-boto3-stepfunctions
Type annotations for boto3.SFN 1.14.9 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 SFN
service.
python -m pip install boto3-stubs[stepfunctions]
How to use
Client annotations
SFNClient
provides annotations for boto3.client("stepfunctions")
.
import boto3
from mypy_boto3_stepfunctions import SFNClient
from mypy_boto3_stepfunctions.paginator import (
GetExecutionHistoryPaginator,
ListActivitiesPaginator,
ListExecutionsPaginator,
ListStateMachinesPaginator,
)
from mypy_boto3_stepfunctions.type_defs import ActivityFailedEventDetailsTypeDef, ...
client: SFNClient = boto3.client("stepfunctions")
# 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: SFNClient = session.client("stepfunctions")
Paginators annotations
mypy_boto3_stepfunctions.paginator
module contains type annotations for all paginators.
client: SFNClient = boto3.client("stepfunctions")
# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
get_execution_history_paginator: GetExecutionHistoryPaginator = client.get_paginator("get_execution_history")
list_activities_paginator: ListActivitiesPaginator = client.get_paginator("list_activities")
list_executions_paginator: ListExecutionsPaginator = client.get_paginator("list_executions")
list_state_machines_paginator: ListStateMachinesPaginator = client.get_paginator("list_state_machines")
Typed dictionations
mypy_boto3_stepfunctions.type_defs
module contains structures and shapes assembled
to typed dictionaries for additional type checking.
def get_structure() -> ActivityFailedEventDetailsTypeDef:
return {
...
}
Dynamic type annotations
mypy_boto3
command generates boto3.client/resource
type annotations for
mypy_boto3_stepfunctions
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 expectedPyCharm
also supports function overloads, but consumes a lot of RAM, use carefully if you have many services installedVSCode
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("stepfunctions")
session_client = boto3.Session().client("stepfunctions")
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