def lambda_handler()

in static/code/coffee-counter/face_function.py [0:0]

• 33 lines of code
• 5 McCabe index (conditional complexity)

def lambda_handler(event, context):

    utime = str(int(time.time())) #Current Unix Time   
    coffee_cup_detected = False  
    bucket = event['Records'][0]['s3']['bucket']['name']
    key = event['Records'][0]['s3']['object']['key']  
    image = {
        'S3Object': {
            'Bucket': bucket,
            'Name': key,
            }
        }
    response = rekognition.detect_labels(Image=image, MaxLabels=123, MinConfidence=50)    
    for object in response["Labels"]:
        if object["Name"] == "Coffee Cup" or object["Name"] == "Cup":
            coffee_cup_detected = True
            break        
    if coffee_cup_detected:
        dynamodb.put_item(
            TableName=logging_table,
            Item={
                'unixtime':{'S':utime},
                'mymess':{'S': "Coffee Cup Detected"}
            })
        message = detect_faces(image, bucket, key)
    else:
        dynamodb.put_item(
            TableName=logging_table,
            Item={
                'unixtime':{'S':utime},
                'mymess':{'S': "Coffee Cup Not Found in the image"}
                })
        return 'Coffee Cup Not Found in the image'        
    return message