Type annotations for boto3.ElasticLoadBalancingv2 1.13.14 service, generated by mypy-boto3-buider 1.0.9
Project description
mypy-boto3-elbv2
Type annotations for boto3.ElasticLoadBalancingv2 1.13.14 service compatible with mypy, VSCode, PyCharm and other tools.
Generated by mypy-boto3-buider 1.0.9.
More information can be found on boto3-stubs page.
How to use
Type checking
Make sure you have mypy installed and activated in your IDE.
Install boto3-stubs
for ElasticLoadBalancingv2
service.
python -m pip install boto3-stubs[elbv2]
# update installed packages index
mypy_boto3
Use boto3
with mypy_boto3
in your project and enjoy type checking and auto-complete.
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 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 (blamebotocore
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 for readability.
Project details
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Hashes for mypy-boto3-elbv2-1.13.14.0.tar.gz
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