Examples

Index > Personalize > Examples

Auto-generated documentation for Personalize type annotations stubs module types-aiobotocore-personalize.

Client

Implicit type annotations

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

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

ClientPaginators

Client usage example

from aioboto3.session import Session


session = Session()

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

1. client: PersonalizeClient
2. result: CreateBatchInferenceJobResponseTypeDef

Paginator usage example

from aioboto3.session import Session


session = Session()

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

1. client: PersonalizeClient
2. paginator: ListBatchInferenceJobsPaginator
3. item: ListBatchInferenceJobsResponseTypeDef

Explicit type annotations

With types-aioboto3-lite[personalize] or a standalone types_aiobotocore_personalize package, you have to explicitly specify client: PersonalizeClient 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.

ClientPaginators

Client usage example

from aioboto3.session import Session

from types_aiobotocore_personalize.client import PersonalizeClient
from types_aiobotocore_personalize.type_defs import CreateBatchInferenceJobResponseTypeDef
from types_aiobotocore_personalize.type_defs import CreateBatchInferenceJobRequestRequestTypeDef


session = Session()

client: PersonalizeClient
async with session.client("personalize") as client:  # (1)
    kwargs: CreateBatchInferenceJobRequestRequestTypeDef = {...}  # (2)
    result: CreateBatchInferenceJobResponseTypeDef = await client.create_batch_inference_job(**kwargs)  # (3)

1. client: PersonalizeClient
2. kwargs: CreateBatchInferenceJobRequestRequestTypeDef
3. result: CreateBatchInferenceJobResponseTypeDef

Paginator usage example

from aioboto3.session import Session

from types_aiobotocore_personalize.client import PersonalizeClient
from types_aiobotocore_personalize.paginator import ListBatchInferenceJobsPaginator
from types_aiobotocore_personalize.type_defs import ListBatchInferenceJobsResponseTypeDef


session = Session()

client: PersonalizeClient
async with session.client("personalize") as client:  # (1)
    paginator: ListBatchInferenceJobsPaginator = client.get_paginator("list_batch_inference_jobs")  # (2)
    async for item in paginator.paginate(...):
        item: ListBatchInferenceJobsResponseTypeDef
        print(item)  # (3)

1. client: PersonalizeClient
2. paginator: ListBatchInferenceJobsPaginator
3. item: ListBatchInferenceJobsResponseTypeDef