mypy-boto3-iot-jobs-data Type Annotations

Warnings

• breaking Support for Python 3.8 has been removed in `mypy-boto3-builder` version 8.12.0 and subsequent generated packages. Projects targeting `mypy-boto3-iot-jobs-data` must use Python 3.9 or newer.
  Fix: Upgrade your Python environment to 3.9 or a later version. If you need Python 3.8 support, you must use an older version of `mypy-boto3-builder` and its generated stubs, or consider generating stubs locally from an older `boto3` version. [9]
• breaking Type definition (TypeDef) names for packed method arguments were shortened, and conflicting 'Extra' postfixes were moved. This can break code that explicitly imports or references these TypeDefs by their old names.
  Fix: Review your code for explicit references to TypeDefs. Consult the specific service documentation (e.g., `mypy-boto3-iot-jobs-data` docs) for the updated TypeDef names. [9]
• gotcha PyCharm users may experience slow performance or high CPU usage due to `Literal` overloads in `mypy-boto3` packages. This is a known issue (PY-40997).
  Fix: It is recommended to use `boto3-stubs-lite` (if appropriate for your use case) or to disable PyCharm's built-in type checker and use an external tool like `mypy` or `pyright` instead. [4, 17]
• gotcha While `mypy-boto3` aims for implicit type discovery, explicit type annotations for `boto3.client()` calls (e.g., `client: IoTJobsDataPlaneClient = boto3.client(...)`) are often necessary for optimal code completion and type checking in IDEs like VSCode and PyCharm.
  Fix: Always add explicit type annotations for the client object returned by `boto3.client()` or `session.client()` to ensure your IDE provides the best possible assistance. [5, 16]

Install

• pip install mypy-boto3-iot-jobs-data boto3 Install with boto3

Imports

• IoTJobsDataPlaneClient

  from mypy_boto3_iot_jobs_data.client import IoTJobsDataPlaneClient

  For explicit type annotation of the client object.
• DescribeJobExecutionResponseTypeDef

  from mypy_boto3_iot_jobs_data.type_defs import DescribeJobExecutionResponseTypeDef

  To explicitly type dictionary responses from the service API calls.

Quickstart

This quickstart demonstrates how to initialize an IoTJobsDataPlane client with type annotations and use it to call a service method. The `TYPE_CHECKING` block is standard practice to ensure type imports are only active during static analysis, avoiding runtime dependencies on the stub package. Explicit type annotations for the client and response dictionaries provide maximum benefit for type checking and IDE features. [5, 8, 12, 16]

import boto3
from typing import TYPE_CHECKING
from mypy_boto3_iot_jobs_data.client import IoTJobsDataPlaneClient
from mypy_boto3_iot_jobs_data.type_defs import DescribeJobExecutionResponseTypeDef

# Boto3 client without type annotations
# client = boto3.client("iot-jobs-data")

# Boto3 client with explicit type annotations for better IDE support and static analysis
if TYPE_CHECKING:
    client: IoTJobsDataPlaneClient = boto3.client("iot-jobs-data")
else:
    client = boto3.client("iot-jobs-data")

try:
    # Example: Describe a job execution
    job_id = "your-job-id"
    thing_name = "your-thing-name"
    
    # The response object will be implicitly typed due to the client annotation
    response: DescribeJobExecutionResponseTypeDef = client.describe_job_execution(
        jobId=job_id,
        thingName=thing_name
    )
    print(f"Job Execution Status: {response.get('execution', {}).get('status')}")
except client.exceptions.ResourceNotFoundException:
    print(f"Job execution for Job ID '{job_id}' and Thing Name '{thing_name}' not found.")
except Exception as e:
    print(f"An error occurred: {e}")