Type annotations for boto3.ElasticLoadBalancing 1.14.37 service, generated by mypy-boto3-buider 2.2.0
Project description
mypy-boto3-elb
Type annotations for boto3.ElasticLoadBalancing 1.14.37 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 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 expectedPyCharm
also supports function overloads, but consumes a lot of RAM, use carefully if you have many services installedVSCode
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")
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