Type annotations for boto3.Lambda 1.14.35 service, generated by mypy-boto3-buider 2.2.0
Project description
mypy-boto3-lambda
Type annotations for boto3.Lambda 1.14.35 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 Lambda
service.
python -m pip install boto3-stubs[lambda]
How to use
Client annotations
LambdaClient
provides annotations for boto3.client("lambda")
.
import boto3
from mypy_boto3_lambda import LambdaClient
from mypy_boto3_lambda.paginator import (
ListAliasesPaginator,
ListEventSourceMappingsPaginator,
ListFunctionEventInvokeConfigsPaginator,
ListFunctionsPaginator,
ListLayersPaginator,
ListLayerVersionsPaginator,
ListProvisionedConcurrencyConfigsPaginator,
ListVersionsByFunctionPaginator,
)
from mypy_boto3_lambda.type_defs import AccountLimitTypeDef, ...
from mypy_boto3_lambda.waiter import (
FunctionActiveWaiter,
FunctionExistsWaiter,
FunctionUpdatedWaiter,
)
client: LambdaClient = boto3.client("lambda")
# 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: LambdaClient = session.client("lambda")
Paginators annotations
mypy_boto3_lambda.paginator
module contains type annotations for all paginators.
client: LambdaClient = boto3.client("lambda")
# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
list_aliases_paginator: ListAliasesPaginator = client.get_paginator("list_aliases")
list_event_source_mappings_paginator: ListEventSourceMappingsPaginator = client.get_paginator("list_event_source_mappings")
list_function_event_invoke_configs_paginator: ListFunctionEventInvokeConfigsPaginator = client.get_paginator("list_function_event_invoke_configs")
list_functions_paginator: ListFunctionsPaginator = client.get_paginator("list_functions")
list_layer_versions_paginator: ListLayerVersionsPaginator = client.get_paginator("list_layer_versions")
list_layers_paginator: ListLayersPaginator = client.get_paginator("list_layers")
list_provisioned_concurrency_configs_paginator: ListProvisionedConcurrencyConfigsPaginator = client.get_paginator("list_provisioned_concurrency_configs")
list_versions_by_function_paginator: ListVersionsByFunctionPaginator = client.get_paginator("list_versions_by_function")
Waiters annotations
mypy_boto3_lambda.waiter
module contains type annotations for all waiters.
client: LambdaClient = boto3.client("lambda")
# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
function_active_waiter: FunctionActiveWaiter = client.get_waiter("function_active")
function_exists_waiter: FunctionExistsWaiter = client.get_waiter("function_exists")
function_updated_waiter: FunctionUpdatedWaiter = client.get_waiter("function_updated")
Typed dictionations
mypy_boto3_lambda.type_defs
module contains structures and shapes assembled
to typed dictionaries for additional type checking.
def get_structure() -> AccountLimitTypeDef:
return {
...
}
Dynamic type annotations
mypy_boto3
command generates boto3.client/resource
type annotations for
mypy_boto3_lambda
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("lambda")
session_client = boto3.Session().client("lambda")
Project details
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