mypy-boto3-elb 1.14.52.1

Type annotations for boto3.ElasticLoadBalancing 1.14.52 service, generated by mypy-boto3-buider 2.4.0

mypy-boto3-elb

Type annotations for boto3.ElasticLoadBalancing 1.14.52 service compatible with mypy, VSCode, PyCharm and other tools.

Generated by mypy-boto3-buider 2.4.0.

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 ElasticLoadBalancing service.

python -m pip install boto3-stubs[elb]

How to use

Client annotations

ElasticLoadBalancingClient provides annotations for boto3.client("elb").

import boto3

from mypy_boto3_elb import ElasticLoadBalancingClient
from mypy_boto3_elb.paginator import DescribeAccountLimitsPaginator, DescribeLoadBalancersPaginator
from mypy_boto3_elb.type_defs import AccessLogTypeDef, ...
from mypy_boto3_elb.waiter import (
    AnyInstanceInServiceWaiter,
    InstanceDeregisteredWaiter,
    InstanceInServiceWaiter,
)

client: ElasticLoadBalancingClient = boto3.client("elb")

# 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: ElasticLoadBalancingClient = session.client("elb")

Paginators annotations

mypy_boto3_elb.paginator module contains type annotations for all paginators.

client: ElasticLoadBalancingClient = boto3.client("elb")

# 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_load_balancers_paginator: DescribeLoadBalancersPaginator = client.get_paginator("describe_load_balancers")

Waiters annotations

mypy_boto3_elb.waiter module contains type annotations for all waiters.

client: ElasticLoadBalancingClient = boto3.client("elb")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
any_instance_in_service_waiter: AnyInstanceInServiceWaiter = client.get_waiter("any_instance_in_service")
instance_deregistered_waiter: InstanceDeregisteredWaiter = client.get_waiter("instance_deregistered")
instance_in_service_waiter: InstanceInServiceWaiter = client.get_waiter("instance_in_service")

Typed dictionations

mypy_boto3_elb.type_defs module contains structures and shapes assembled to typed dictionaries for additional type checking.

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

Dynamic type annotations

mypy_boto3 command generates boto3.client/resource type annotations for mypy_boto3_elb 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("elb")

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