Type annotations for boto3.CloudFront 1.14.0 service, generated by mypy-boto3-buider 2.0.4
Project description
mypy-boto3-cloudfront
Type annotations for boto3.CloudFront 1.14.0 service compatible with mypy, VSCode, PyCharm and other tools.
Generated by mypy-boto3-buider 2.0.4.
More information can be found on boto3-stubs page.
How to use
Make sure you have mypy installed and activated in your IDE.
Install boto3-stubs
for CloudFront
service.
python -m pip install boto3-stubs[cloudfront]
Use boto3
with mypy_boto3_cloudfront
in your project and enjoy type checking and auto-complete.
import boto3
from mypy_boto3_cloudfront import CloudFrontClient
# Now mypy can check if your code is valid.
client: CloudFrontClient = boto3.client("cloudfront")
# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: CloudFrontClient = session.client("cloudfront")
# Waiters are also supported
import mypy_boto3_cloudfront.waiter as cloudfront_waiters
distribution_deployed_waiter: cloudfront_waiters.DistributionDeployedWaiter = client.get_waiter("distribution_deployed")
invalidation_completed_waiter: cloudfront_waiters.InvalidationCompletedWaiter = client.get_waiter("invalidation_completed")
streaming_distribution_deployed_waiter: cloudfront_waiters.StreamingDistributionDeployedWaiter = client.get_waiter("streaming_distribution_deployed")
# Annotated paginators are included as well
import mypy_boto3_cloudfront.paginator as cloudfront_paginators
list_cloud_front_origin_access_identities_paginator: cloudfront_paginators.ListCloudFrontOriginAccessIdentitiesPaginator = client.get_paginator("list_cloud_front_origin_access_identities")
list_distributions_paginator: cloudfront_paginators.ListDistributionsPaginator = client.get_paginator("list_distributions")
list_invalidations_paginator: cloudfront_paginators.ListInvalidationsPaginator = client.get_paginator("list_invalidations")
list_streaming_distributions_paginator: cloudfront_paginators.ListStreamingDistributionsPaginator = client.get_paginator("list_streaming_distributions")
Dynamic type annotations
mypy_boto3
command generates boto3.client/resource
type annotations for
mypy_boto3_cloudfront
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
import boto3
# Type is discovered correctly by mypy and PyCharm
# VSCode still needs explicit type annotations
client = boto3.client("cloudfront")
session_client = boto3.Session().client("cloudfront")
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