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# mypy-boto3-elbv2 Type annotations for [boto3.ElasticLoadBalancingv2 1.10.42](https://boto3.amazonaws.com/v1/documentation/api/1.10.42/reference/services/elbv2.html#ElasticLoadBalancingv2) service compatible with [mypy](https://github.com/python/mypy), [VSCode](https://code.visualstudio.com/), [PyCharm](https://www.jetbrains.com/pycharm/) and other tools. More information can be found [here](https://vemel.github.io/mypy_boto3/). - [mypy-boto3-elbv2](#mypy-boto3-elbv2) - [How to use](#how-to-use) - [Type checking](#type-checking) - [Code auto-complete](#code-auto-complete) - [How it works](#how-it-works) ## How to use ### Type checking Make sure you have [mypy](https://github.com/python/mypy) installed and activated in your IDE. Install `boto3-stubs` for `ElasticLoadBalancingv2` service. ```bash python -m pip install boto3-stubs[mypy-boto3-elbv2] ``` Use `boto3` with `mypy_boto3` in your project and enjoy type checking and auto-complete. ```python import boto3 from mypy_boto3 import elbv2 # alternative import if you do not want to install mypy_boto3 package # import mypy_boto3_elbv2 as elbv2 # Use this client as usual, now mypy can check if your code is valid. # Check if your IDE supports function overloads, # you probably do not need explicit type annotations # client = boto3.client("elbv2") client: elbv2.ElasticLoadBalancingv2Client = boto3.client("elbv2") # works for session as well session = boto3.session.Session(region="us-west-1") session_client: elbv2.ElasticLoadBalancingv2Client = session.client("elbv2") # Waiters need type annotation on creation load_balancer_available_waiter: elbv2.LoadBalancerAvailableWaiter = client.get_waiter("load_balancer_available") load_balancer_exists_waiter: elbv2.LoadBalancerExistsWaiter = client.get_waiter("load_balancer_exists") load_balancers_deleted_waiter: elbv2.LoadBalancersDeletedWaiter = client.get_waiter("load_balancers_deleted") target_deregistered_waiter: elbv2.TargetDeregisteredWaiter = client.get_waiter("target_deregistered") target_in_service_waiter: elbv2.TargetInServiceWaiter = client.get_waiter("target_in_service") # Paginators need type annotation on creation describe_account_limits_paginator: elbv2.DescribeAccountLimitsPaginator = client.get_paginator("describe_account_limits") describe_listener_certificates_paginator: elbv2.DescribeListenerCertificatesPaginator = client.get_paginator("describe_listener_certificates") describe_listeners_paginator: elbv2.DescribeListenersPaginator = client.get_paginator("describe_listeners") describe_load_balancers_paginator: elbv2.DescribeLoadBalancersPaginator = client.get_paginator("describe_load_balancers") describe_rules_paginator: elbv2.DescribeRulesPaginator = client.get_paginator("describe_rules") describe_ssl_policies_paginator: elbv2.DescribeSSLPoliciesPaginator = client.get_paginator("describe_ssl_policies") describe_target_groups_paginator: elbv2.DescribeTargetGroupsPaginator = client.get_paginator("describe_target_groups") ``` ## How it works Fully automated [builder](https://github.com/vemel/mypy_boto3) carefully generates type annotations for each service, patiently waiting for `boto3` updates. It delivers a drop-in type annotations for you and makes sure that: - All available `boto3` services are covered. - Each public class and method of every `boto3` service gets valid type annotations extracted from the documentation (blame `botocore` docs if types are incorrect). - Type annotations include up-to-date documentation. - Link to documentation is provided for every method. - Code is processed by [black](https://github.com/psf/black) for readability.