mypy-boto3-personalize 1.14.35.0

Type annotations for boto3.Personalize 1.14.35 service, generated by mypy-boto3-buider 2.2.0

mypy-boto3-personalize

Type annotations for boto3.Personalize 1.14.35 service compatible with mypy, VSCode, PyCharm and other tools.

Generated by mypy-boto3-buider 2.2.0.

More information can be found on boto3-stubs page.

How to install

Make sure you have mypy installed and activated in your IDE.

Install boto3-stubs for Personalize service.

python -m pip install boto3-stubs[personalize]

How to use

Client annotations

PersonalizeClient provides annotations for boto3.client("personalize").

import boto3

from mypy_boto3_personalize import PersonalizeClient
from mypy_boto3_personalize.paginator import (
    ListBatchInferenceJobsPaginator,
    ListCampaignsPaginator,
    ListDatasetGroupsPaginator,
    ListDatasetImportJobsPaginator,
    ListDatasetsPaginator,
    ListEventTrackersPaginator,
    ListRecipesPaginator,
    ListSchemasPaginator,
    ListSolutionsPaginator,
    ListSolutionVersionsPaginator,
)
from mypy_boto3_personalize.type_defs import AlgorithmImageTypeDef, ...

client: PersonalizeClient = boto3.client("personalize")

# now client usage is checked by mypy and IDE should provide code auto-complete

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: PersonalizeClient = session.client("personalize")

Paginators annotations

mypy_boto3_personalize.paginator module contains type annotations for all paginators.

client: PersonalizeClient = boto3.client("personalize")

# Explicit type annotations are optional here
# Type should be correctly discovered by mypy and IDEs
# VSCode requires explicit type annotations
list_batch_inference_jobs_paginator: ListBatchInferenceJobsPaginator = client.get_paginator("list_batch_inference_jobs")
list_campaigns_paginator: ListCampaignsPaginator = client.get_paginator("list_campaigns")
list_dataset_groups_paginator: ListDatasetGroupsPaginator = client.get_paginator("list_dataset_groups")
list_dataset_import_jobs_paginator: ListDatasetImportJobsPaginator = client.get_paginator("list_dataset_import_jobs")
list_datasets_paginator: ListDatasetsPaginator = client.get_paginator("list_datasets")
list_event_trackers_paginator: ListEventTrackersPaginator = client.get_paginator("list_event_trackers")
list_recipes_paginator: ListRecipesPaginator = client.get_paginator("list_recipes")
list_schemas_paginator: ListSchemasPaginator = client.get_paginator("list_schemas")
list_solution_versions_paginator: ListSolutionVersionsPaginator = client.get_paginator("list_solution_versions")
list_solutions_paginator: ListSolutionsPaginator = client.get_paginator("list_solutions")

Typed dictionations

mypy_boto3_personalize.type_defs module contains structures and shapes assembled to typed dictionaries for additional type checking.

def get_structure() -> AlgorithmImageTypeDef:
    return {
      ...
    }

Dynamic type annotations

mypy_boto3 command generates boto3.client/resource type annotations for mypy_boto3_personalize and other installed services.

# Run this command after you add or remove service packages
python -m mypy_boto3

Generated type annotations provide overloads for boto3.client and boto3.resource, boto3.Session.client and boto3.Session.resource functions, so explicit type annotations are not needed.

• mypy supports function overloads as expected
• PyCharm also supports function overloads, but consumes a lot of RAM, use carefully if you have many services installed
• VSCode does not currently support function overloads, use explicit type annotations

# Type is discovered correctly by mypy and PyCharm
# VSCode still needs explicit type annotations
client = boto3.client("personalize")

session_client = boto3.Session().client("personalize")