ServerSelectionTimeoutError при вставке документов в DocumentDB

У меня есть bucket S3 с любым

• json духов одного бренда или
• папки одного бренда с духами в формате json.

Я знаю, как получить их индекс, но я хотел бы вставить эти объекты в мою базу данных documentdb в коллекциях, соответствующих их бренду.

    import boto3
    import pymongo
    import sys
    
    
    def iterate_bucket_items(bucket):
        """
        Generator that iterates over all objects in a given s3 bucket
    
        See http://boto3.readthedocs.io/en/latest/reference/services/s3.html#S3.Client.list_objects_v2 
        for return data format
        :param bucket: name of s3 bucket
        :return: dict of metadata for an object
        """
    
    
        client = boto3.client('s3')
        paginator = client.get_paginator('list_objects_v2')
        page_iterator = paginator.paginate(Bucket=bucket)
    
        for page in page_iterator:
            if page['KeyCount'] > 0:
                for item in page['Contents']:
                    yield item
    
    
    ##Create a MongoDB client, open a connection to Amazon DocumentDB as a replica set and specify the read preference as secondary preferred
    client = pymongo.MongoClient('mongodb://user:[email protected]:27017/?ssl=true&ssl_ca_certs=rds-combined-ca-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') 
    
    ##Specify the database to be used
    db = client.perfumes
    c = 0
    for i in iterate_bucket_items(bucket='datahubpredicity'):
        keyName = i['Key']
        print(keyName)
        if '/' in keyName and keyName[-1] is not '/':
            print("keyName: ", keyName)
            folder, file = keyName.split('/')
            ##Specify the collection to be used
            col = db[folder]
            content_object = s3.Object('datahubpredicity', keyName)
            file_content = content_object.get()['Body'].read().decode('utf-8')
            json_content = json.loads(file_content)
            print(json_content)
            ##Insert a single document
            col.insert_one(json_content)
        c+=1
        if c >= 6:
            break
        
        # ##Print the result to the screen
        # print(x)
        
    ##Close the connection
    client.close()

Но он возвращает:

pymongo.errors.ServerSelectionTimeoutError: 
datahub.cluster-1.eu-west-3.docdb.amazonaws.com:27017: 
timed out, Timeout: 30s, 
Topology Description: <TopologyDescription id: 6254472217824b192df5665d, 
                      topology_type: ReplicaSetNoPrimary, 
                      servers: [<ServerDescription ('datahub.cluster-1.eu-west-3.docdb.amazonaws.com', 27017) server_type: Unknown, 
                      rtt: None, error=NetworkTimeout('datahub.cluster-1.eu-west-3.docdb.amazonaws.com:27017: timed out')>]>