mypy-boto3-mediaconvert

import os from typing import TYPE_CHECKING, Dict, Any import boto3 # These imports are only for type checking, not for runtime execution if TYPE_CHECKING: from mypy_boto3_mediaconvert.client import MediaConvertClient from mypy_boto3_mediaconvert.type_defs import CreateJobRequestTypeDef, CreateJobResponseTypeDef def create_sample_job(role_arn: str, s3_input_url: str, s3_output_bucket: str) -> Dict[str, Any]: # In a real application, consider using AWS credentials from environment variables # or ~/.aws/credentials. For quickstart, we assume they are configured. # The client variable is explicitly typed for static analysis client: 'MediaConvertClient' = boto3.client("mediaconvert", region_name=os.environ.get('AWS_REGION', 'us-east-1')) job_settings: Dict[str, Any] = { "Inputs": [ { "AudioSelectors": {"Audio Selector 1": {"DefaultSelection": "DEFAULT"}}, "FileInput": s3_input_url, } ], "OutputGroups": [ { "Name": "File Group", "OutputGroupSettings": { "Type": "FILE_GROUP_SETTINGS", "FileGroupSettings": {"Destination": f"s3://{s3_output_bucket}/"}, }, "Outputs": [ { "ContainerSettings": {"Container":"MP4","Mp4Settings":{}}, "VideoDescription": {"CodecSettings": {"Codec": "H_264"}}, "AudioDescriptions": [ {"CodecSettings": {"Codec": "AAC"}} ], } ], } ], } request_params: 'CreateJobRequestTypeDef' = { "Role": role_arn, "Settings": job_settings, "Queue": os.environ.get('MEDIACONVERT_QUEUE_ARN', 'arn:aws:mediaconvert:us-east-1:123456789012:queues/Default') } try: response: 'CreateJobResponseTypeDef' = client.create_job(**request_params) print("Successfully created MediaConvert job.") print(f"Job ID: {response['Job']['Id']}") return response except client.exceptions.BadRequestException as e: print(f"Bad request: {e}") raise except Exception as e: print(f"An unexpected error occurred: {e}") raise if __name__ == "__main__": # Example usage: Replace with actual values and ensure AWS credentials/config are set. # For a runnable example, you need a valid AWS account, MediaConvert permissions, # an S3 input file, an S3 output bucket, and a MediaConvert queue. # Using placeholder environment variables for demonstration. ROLE_ARN = os.environ.get('MEDIACONVERT_ROLE_ARN', 'arn:aws:iam::123456789012:role/MediaConvertRole') S3_INPUT_URL = os.environ.get('S3_INPUT_VIDEO_URL', 's3://your-input-bucket/input.mp4') S3_OUTPUT_BUCKET = os.environ.get('S3_OUTPUT_BUCKET', 'your-output-bucket') if not all([ROLE_ARN, S3_INPUT_URL, S3_OUTPUT_BUCKET, os.environ.get('AWS_REGION'), os.environ.get('MEDIACONVERT_QUEUE_ARN')]): print("Warning: Please set MEDIACONVERT_ROLE_ARN, S3_INPUT_VIDEO_URL, S3_OUTPUT_BUCKET, AWS_REGION, and MEDIACONVERT_QUEUE_ARN environment variables for a real test.") print("Using dummy values for demonstration.") # Proceed with dummy values for type checking demonstration even if not runnable _ = create_sample_job(ROLE_ARN, S3_INPUT_URL, S3_OUTPUT_BUCKET) else: create_sample_job(ROLE_ARN, S3_INPUT_URL, S3_OUTPUT_BUCKET)