Examples

Index > CloudWatchEvidently > Examples

Auto-generated documentation for CloudWatchEvidently type annotations stubs module types-aiobotocore-evidently.

Client

Implicit type annotations

Can be used with types-aioboto3[evidently] package installed.

Write your CloudWatchEvidently code as usual, type checking and code completion should work out of the box.

# CloudWatchEvidentlyClient usage example

from aioboto3.session import Session


session = Session()

async with session.client("evidently") as client:  # (1)
    result = await client.batch_evaluate_feature()  # (2)

1. client: CloudWatchEvidentlyClient
2. result: BatchEvaluateFeatureResponseTypeDef

# ListExperimentsPaginator usage example

from aioboto3.session import Session


session = Session()

async with session.client("evidently") as client:  # (1)
    paginator = client.get_paginator("list_experiments")  # (2)
    async for item in paginator.paginate(...):
        print(item)  # (3)

1. client: CloudWatchEvidentlyClient
2. paginator: ListExperimentsPaginator
3. item: ListExperimentsResponseTypeDef

Explicit type annotations

With types-aioboto3-lite[evidently] or a standalone types_aiobotocore_evidently package, you have to explicitly specify client: CloudWatchEvidentlyClient type annotation.

All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.

# CloudWatchEvidentlyClient usage example with type annotations

from aioboto3.session import Session

from types_aiobotocore_evidently.client import CloudWatchEvidentlyClient
from types_aiobotocore_evidently.type_defs import BatchEvaluateFeatureResponseTypeDef
from types_aiobotocore_evidently.type_defs import BatchEvaluateFeatureRequestRequestTypeDef


session = Session()

client: CloudWatchEvidentlyClient
async with session.client("evidently") as client:  # (1)
    kwargs: BatchEvaluateFeatureRequestRequestTypeDef = {...}  # (2)
    result: BatchEvaluateFeatureResponseTypeDef = await client.batch_evaluate_feature(**kwargs)  # (3)

1. client: CloudWatchEvidentlyClient
2. kwargs: BatchEvaluateFeatureRequestRequestTypeDef
3. result: BatchEvaluateFeatureResponseTypeDef

# ListExperimentsPaginator usage example with type annotations

from aioboto3.session import Session

from types_aiobotocore_evidently.client import CloudWatchEvidentlyClient
from types_aiobotocore_evidently.paginator import ListExperimentsPaginator
from types_aiobotocore_evidently.type_defs import ListExperimentsResponseTypeDef


session = Session()

client: CloudWatchEvidentlyClient
async with session.client("evidently") as client:  # (1)
    paginator: ListExperimentsPaginator = client.get_paginator("list_experiments")  # (2)
    async for item in paginator.paginate(...):
        item: ListExperimentsResponseTypeDef
        print(item)  # (3)

1. client: CloudWatchEvidentlyClient
2. paginator: ListExperimentsPaginator
3. item: ListExperimentsResponseTypeDef