Type annotations for boto3.ElasticLoadBalancing 1.13.24 service, generated by mypy-boto3-buider 2.0.2
Project description
mypy-boto3-elb
Type annotations for boto3.ElasticLoadBalancing 1.13.24 service compatible with mypy, VSCode, PyCharm and other tools.
Generated by mypy-boto3-buider 2.0.2.
More information can be found on boto3-stubs page.
How to use
Make sure you have mypy installed and activated in your IDE.
Install boto3-stubs
for ElasticLoadBalancing
service.
python -m pip install boto3-stubs[elb]
# update installed packages index for automated type discovery
python -m mypy_boto3
Use boto3
with mypy_boto3_elb
in your project and enjoy type checking and auto-complete.
import boto3
from mypy_boto3_elb import ElasticLoadBalancingClient
# Now mypy can check if your code is valid.
client: ElasticLoadBalancingClient = boto3.client("elb")
# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: ElasticLoadBalancingClient = session.client("elb")
# Waiters are also supported
import mypy_boto3_elb.waiter as elb_waiters
any_instance_in_service_waiter: elb_waiters.AnyInstanceInServiceWaiter = client.get_waiter("any_instance_in_service")
instance_deregistered_waiter: elb_waiters.InstanceDeregisteredWaiter = client.get_waiter("instance_deregistered")
instance_in_service_waiter: elb_waiters.InstanceInServiceWaiter = client.get_waiter("instance_in_service")
# Annotated paginators are included as well
import mypy_boto3_elb.paginator as elb_paginators
describe_account_limits_paginator: elb_paginators.DescribeAccountLimitsPaginator = client.get_paginator("describe_account_limits")
describe_load_balancers_paginator: elb_paginators.DescribeLoadBalancersPaginator = client.get_paginator("describe_load_balancers")
Automated type discovery
mypy_boto3
package can generate index for mypy_boto3_elb
and other installed services.
# Run this command when you add or remove service packages
python -m mypy_boto3
Generated index provides overloads for boto3.client
and boto3.service
,
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 carefullyVSCode
does not currently support function overloads
Also, generated index allows you to import types from mypy_boto3
:
# you can replace imports
import mypy_boto3_elb as elb
from mypy_boto3_elb import ElasticLoadBalancingClient
# with these
from mypy_boto3 import elb
from mypy_boto3.elb import ElasticLoadBalancingClient
Project details
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