mypy-boto3-autoscaling 1.14.0.0

Type annotations for boto3.AutoScaling 1.14.0 service, generated by mypy-boto3-buider 2.0.4

mypy-boto3-autoscaling

• mypy-boto3-autoscaling
  • How to use
  • Automated type discovery

Type annotations for boto3.AutoScaling 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 AutoScaling service.

python -m pip install boto3-stubs[autoscaling]

Use boto3 with mypy_boto3_autoscaling in your project and enjoy type checking and auto-complete.

import boto3

from mypy_boto3_autoscaling import AutoScalingClient

# Now mypy can check if your code is valid.
client: AutoScalingClient = boto3.client("autoscaling")

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: AutoScalingClient = session.client("autoscaling")



# Annotated paginators are included as well

import mypy_boto3_autoscaling.paginator as autoscaling_paginators

describe_auto_scaling_groups_paginator: autoscaling_paginators.DescribeAutoScalingGroupsPaginator = client.get_paginator("describe_auto_scaling_groups")
describe_auto_scaling_instances_paginator: autoscaling_paginators.DescribeAutoScalingInstancesPaginator = client.get_paginator("describe_auto_scaling_instances")
describe_launch_configurations_paginator: autoscaling_paginators.DescribeLaunchConfigurationsPaginator = client.get_paginator("describe_launch_configurations")
describe_load_balancer_target_groups_paginator: autoscaling_paginators.DescribeLoadBalancerTargetGroupsPaginator = client.get_paginator("describe_load_balancer_target_groups")
describe_load_balancers_paginator: autoscaling_paginators.DescribeLoadBalancersPaginator = client.get_paginator("describe_load_balancers")
describe_notification_configurations_paginator: autoscaling_paginators.DescribeNotificationConfigurationsPaginator = client.get_paginator("describe_notification_configurations")
describe_policies_paginator: autoscaling_paginators.DescribePoliciesPaginator = client.get_paginator("describe_policies")
describe_scaling_activities_paginator: autoscaling_paginators.DescribeScalingActivitiesPaginator = client.get_paginator("describe_scaling_activities")
describe_scheduled_actions_paginator: autoscaling_paginators.DescribeScheduledActionsPaginator = client.get_paginator("describe_scheduled_actions")
describe_tags_paginator: autoscaling_paginators.DescribeTagsPaginator = client.get_paginator("describe_tags")

Dynamic type annotations

mypy_boto3 command generates boto3.client/resource type annotations for mypy_boto3_autoscaling 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 expected
• PyCharm also supports function overloads, but consumes a lot of RAM, use carefully if you have many services installed
• VSCode 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("autoscaling")

session_client = boto3.Session().client("autoscaling")