mypy-boto3-comprehendmedical

import boto3 from typing import TYPE_CHECKING from mypy_boto3_comprehendmedical.client import ComprehendMedicalClient from mypy_boto3_comprehendmedical.type_defs import DetectEntitiesV2ResponseTypeDef if TYPE_CHECKING: client: ComprehendMedicalClient = boto3.client("comprehendmedical") else: client = boto3.client("comprehendmedical") # Example usage with type-hinted client def process_medical_text(text: str) -> DetectEntitiesV2ResponseTypeDef: try: response: DetectEntitiesV2ResponseTypeDef = client.detect_entities_v2( Text=text ) print(f"Detected entities: {len(response['Entities'])}") return response except client.exceptions.ClientError as e: print(f"Error processing text: {e}") raise # Example call medical_note = "Patient has a history of type 2 diabetes and hypertension." if __name__ == "__main__": # In a real application, you'd handle AWS credentials/region configuration # or use boto3's default credential chain. # For this example, ensure AWS credentials are configured (e.g., via environment variables or ~/.aws/credentials) try: result = process_medical_text(medical_note) # Further processing of result, e.g., result['Entities'][0]['Text'] except Exception as e: print(f"An error occurred during quickstart: {e}")