使用Lambda-python对dynamoDB表进行sed识别响应 [英] sed recognition response to DynamoDB table using Lambda-python

问题描述

我正在使用Lambda来检测人脸，并希望将响应发送给Dynamotable. 这是我正在使用的代码:

I am using Lambda to detect faces and would like to send the response to a Dynamotable. This is the code I am using:

rekognition = boto3.client('rekognition', region_name='us-east-1')
dynamodb = boto3.client('dynamodb', region_name='us-east-1')



 # --------------- Helper Functions to call Rekognition APIs ------------------


def detect_faces(bucket, key):
    response = rekognition.detect_faces(Image={"S3Object": {"Bucket": bucket, 
    "Name": key}}, Attributes=['ALL'])
    TableName = 'table_test'
    for face in response['FaceDetails']:
        table_response = dynamodb.put_item(TableName=TableName, Item='{0} - {1}%')


     return response

我的问题在这一行:

 for face in response['FaceDetails']:
        table_response = dynamodb.put_item(TableName=TableName, Item= {'key:{'S':'value'}, {'S':'Value')

我可以在控制台中看到结果. 我不想将特定项目添加到表格中-我需要将整个响应转移到表格中.

I am able to see the result in the console. I don't want to add specific item(s) to the table- I need the whole response to be transferred to the table.

执行此操作: 1.在表中添加什么作为键和分区键? 2.如何将整个响应转移到表

Do do this: 1. What to add as a key and partition key in the table? 2. How to transfer the whole response to the table

我已经被困在这里三天了，无法得出任何结果.请帮忙！

i have been stuck in this for three days now and can't figure out any result. Please help!

           ******************* EDIT *******************

我尝试了以下代码:

rekognition = boto3.client('rekognition', region_name='us-east-1')




 # --------------- Helper Functions to call Rekognition APIs ------------------


 def detect_faces(bucket, key):
     response = rekognition.detect_faces(Image={"S3Object": {"Bucket": bucket, 
     "Name": key}}, Attributes=['ALL'])
     TableName = 'table_test'
     for face in response['FaceDetails']:
         face_id = str(uuid.uuid4())
         Age = face["AgeRange"]
         Gender = face["Gender"]
         print('Generating new DynamoDB record, with ID: ' + face_id)
         print('Input Age: ' + Age)
         print('Input Gender: ' + Gender)
         dynamodb = boto3.resource('dynamodb')
         table = dynamodb.Table(os.environ['test_table'])
         table.put_item(
         Item={
            'id' : face_id,
            'Age' : Age,
            'Gender' : Gender
         }
     )


     return response

它给了我两个错误:

1. Error processing object xxx.jpg
2. cannot concatenate 'str' and 'dict' objects

您能帮忙吗！

推荐答案

在DynamoDB中创建表时，至少必须指定一个分区键.转到您的DynamoDB表并获取您的分区键.拥有它之后，您可以创建一个新对象，该对象包含此分区键，上面有一些值以及您要传递的对象.在DynamoDB表中创建新项时，分区键始终是必须的.

When you create a Table in DynamoDB, you must specify, at least, a Partition Key. Go to your DynamoDB table and grab your partition key. Once you have it, you can create a new object that contains this partition key with some value on it and the object you want to pass itself. The partition key is always a MUST upon creating a new Item in a DynamoDB table.

您的JSON对象应如下所示:

Your JSON object should look like this:

{
 "myPartitionKey": "myValue",
 "attr1": "val1",
 "attr2:" "val2"
}

编辑 :OP更新了他的问题之后，以下是一些新信息:

EDIT: After the OP updated his question, here's some new information:

对于问题1)

您确定要处理的图像是否有效?如果该文件已损坏，则Rekognition将失败并抛出该错误.

Are you sure the image you are trying to process is a valid one? If it is a corrupted file Rekognition will fail and throw that error.

对于问题2)

您无法在Python中将字符串与字典连接在一起.您的年龄和性别变量是字典，而不是字符串.因此，您需要在这些词典中访问内部属性.它们具有值"属性.我不是Python开发人员，但是您需要访问Gender对象内的Value属性.但是，年龄对象具有低"和高"作为属性.

You cannot concatenate a String with a Dictionary in Python. Your Age and Gender variables are dictionaries, not Strings. So you need to access an inner attribute within these dictionaries. They have a 'Value' attribute. I am not a Python developer, but you need to access the Value attribute inside your Gender object. The Age object, however, has 'Low' and 'High' as attributes.

您可以在文档

希望这会有所帮助！

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