Examples

Index > Personalize > Examples

Auto-generated documentation for Personalize type annotations stubs module types-boto3-personalize.

Client

Implicit type annotations

Can be used with types-boto3[personalize] package installed.

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

# PersonalizeClient usage example

from boto3.session import Session


session = Session()

client = session.client("personalize")  # (1)
result = client.create_batch_inference_job()  # (2)

1. client: PersonalizeClient
2. result: CreateBatchInferenceJobResponseTypeDef

# ListBatchInferenceJobsPaginator usage example

from boto3.session import Session


session = Session()
client = session.client("personalize")  # (1)

paginator = client.get_paginator("list_batch_inference_jobs")  # (2)
for item in paginator.paginate(...):
    print(item)  # (3)

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

Explicit type annotations

With types-boto3-lite[personalize] or a standalone types_boto3_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.

# PersonalizeClient usage example with type annotations

from boto3.session import Session

from types_boto3_personalize.client import PersonalizeClient
from types_boto3_personalize.type_defs import CreateBatchInferenceJobResponseTypeDef
from types_boto3_personalize.type_defs import CreateBatchInferenceJobRequestRequestTypeDef


session = Session()

client: PersonalizeClient = session.client("personalize")

kwargs: CreateBatchInferenceJobRequestRequestTypeDef = {...}
result: CreateBatchInferenceJobResponseTypeDef = client.create_batch_inference_job(**kwargs)

# ListBatchInferenceJobsPaginator usage example with type annotations

from boto3.session import Session

from types_boto3_personalize.client import PersonalizeClient
from types_boto3_personalize.paginator import ListBatchInferenceJobsPaginator
from types_boto3_personalize.type_defs import ListBatchInferenceJobsResponseTypeDef


session = Session()
client: PersonalizeClient = session.client("personalize")

paginator: ListBatchInferenceJobsPaginator = client.get_paginator("list_batch_inference_jobs")
for item in paginator.paginate(...):
    item: ListBatchInferenceJobsResponseTypeDef
    print(item)