Examples
Index > Personalize > Examples
Auto-generated documentation for Personalize type annotations stubs module mypy-boto3-personalize.
Client
Implicit type annotations
Can be used with boto3-stubs[personalize]
package installed.
Write your Personalize
code as usual,
type checking and code completion should work out of the box.
Client usage example
from boto3.session import Session
session = Session()
client = session.client("personalize") # (1)
result = client.create_batch_inference_job() # (2)
- client: PersonalizeClient
- result: CreateBatchInferenceJobResponseTypeDef
Paginator 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)
- client: PersonalizeClient
- paginator: ListBatchInferenceJobsPaginator
- item: ListBatchInferenceJobsResponseTypeDef
Explicit type annotations
With boto3-stubs-lite[personalize]
or a standalone mypy_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.
Client usage example
from boto3.session import Session
from mypy_boto3_personalize.client import PersonalizeClient
from mypy_boto3_personalize.type_defs import CreateBatchInferenceJobResponseTypeDef
from mypy_boto3_personalize.type_defs import CreateBatchInferenceJobRequestRequestTypeDef
session = Session()
client: PersonalizeClient = session.client("personalize")
kwargs: CreateBatchInferenceJobRequestRequestTypeDef = {...}
result: CreateBatchInferenceJobResponseTypeDef = client.create_batch_inference_job(**kwargs)
Paginator usage example
from boto3.session import Session
from mypy_boto3_personalize.client import PersonalizeClient
from mypy_boto3_personalize.paginator import ListBatchInferenceJobsPaginator
from mypy_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)