def lambda_handler()

in source/lambda_function.py [0:0]

• 19 lines of code
• 4 McCabe index (conditional complexity)

def lambda_handler(event, context):
                                                                                                                                                                                                                                                                
    try:
        [request_route, request_token, presigned_s3_url] = extract_object_context(event)
        
        # Download the image object from S3 via the presigned url. 
        # This way the object lambda does not need S3 read permissions.
        # (Generally, Rekognition would also accept passing an S3 URL instead of the image bytes)
        [image_bytes, headers, file_format] = download_image_from_s3(presigned_s3_url)
        
        # Detect moderation content in the image with Rekognition
        response = rekognition.detect_moderation_labels(
            Image={
                'Bytes': image_bytes
            },
                MinConfidence=50
            )    

        #Blur the imaege if moderation labels are present
        labels = response['ModerationLabels']    
        if len(labels):
            image_bytes = blur_image(image_bytes, file_format)

            # Update the headers to the new size in bytes of the blurred image (in case it changed)
            headers['ContentLength']=len(image_bytes)

    except Exception as e:
        handle_exception(e, request_route, request_token)    
    else:
        write_s3_get_object_response(200, request_route, request_token, image_bytes, headers)

    # Return lambda gracefully
    return {'statusCode': 200 }