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Type annotations for boto3.ElasticLoadBalancingv2 1.14.5 service, generated by mypy-boto3-buider 2.2.0

Project description

mypy-boto3-elbv2

PyPI - mypy-boto3-elbv2 PyPI - Python Version Docs

Type annotations for boto3.ElasticLoadBalancingv2 1.14.5 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 ElasticLoadBalancingv2 service.

python -m pip install boto3-stubs[elbv2]

How to use

Client annotations

ElasticLoadBalancingv2Client provides annotations for boto3.client("elbv2").

import boto3

from mypy_boto3_elbv2 import ElasticLoadBalancingv2Client
from mypy_boto3_elbv2.paginator import (
    DescribeAccountLimitsPaginator,
    DescribeListenerCertificatesPaginator,
    DescribeListenersPaginator,
    DescribeLoadBalancersPaginator,
    DescribeRulesPaginator,
    DescribeSSLPoliciesPaginator,
    DescribeTargetGroupsPaginator,
)
from mypy_boto3_elbv2.type_defs import ActionTypeDef, ...
from mypy_boto3_elbv2.waiter import (
    LoadBalancerAvailableWaiter,
    LoadBalancerExistsWaiter,
    LoadBalancersDeletedWaiter,
    TargetDeregisteredWaiter,
    TargetInServiceWaiter,
)

client: ElasticLoadBalancingv2Client = boto3.client("elbv2")

# 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: ElasticLoadBalancingv2Client = session.client("elbv2")

Paginators annotations

mypy_boto3_elbv2.paginator module contains type annotations for all paginators.

client: ElasticLoadBalancingv2Client = boto3.client("elbv2")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
describe_account_limits_paginator: DescribeAccountLimitsPaginator = client.get_paginator("describe_account_limits")
describe_listener_certificates_paginator: DescribeListenerCertificatesPaginator = client.get_paginator("describe_listener_certificates")
describe_listeners_paginator: DescribeListenersPaginator = client.get_paginator("describe_listeners")
describe_load_balancers_paginator: DescribeLoadBalancersPaginator = client.get_paginator("describe_load_balancers")
describe_rules_paginator: DescribeRulesPaginator = client.get_paginator("describe_rules")
describe_ssl_policies_paginator: DescribeSSLPoliciesPaginator = client.get_paginator("describe_ssl_policies")
describe_target_groups_paginator: DescribeTargetGroupsPaginator = client.get_paginator("describe_target_groups")

Waiters annotations

mypy_boto3_elbv2.waiter module contains type annotations for all waiters.

client: ElasticLoadBalancingv2Client = boto3.client("elbv2")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
load_balancer_available_waiter: LoadBalancerAvailableWaiter = client.get_waiter("load_balancer_available")
load_balancer_exists_waiter: LoadBalancerExistsWaiter = client.get_waiter("load_balancer_exists")
load_balancers_deleted_waiter: LoadBalancersDeletedWaiter = client.get_waiter("load_balancers_deleted")
target_deregistered_waiter: TargetDeregisteredWaiter = client.get_waiter("target_deregistered")
target_in_service_waiter: TargetInServiceWaiter = client.get_waiter("target_in_service")

Typed dictionations

mypy_boto3_elbv2.type_defs module contains structures and shapes assembled to typed dictionaries for additional type checking.

def get_structure() -> ActionTypeDef:
    return {
      ...
    }

Dynamic type annotations

mypy_boto3 command generates boto3.client/resource type annotations for mypy_boto3_elbv2 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
# Type is discovered correctly by mypy and PyCharm
# VSCode still needs explicit type annotations
client = boto3.client("elbv2")

session_client = boto3.Session().client("elbv2")

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