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我正在尝试使用Google Cloud Platform AutoMLusing构建应用程序Python。我的整体代码流程如下所示：

用户交互--> 发送到 PubSub 的数据--> 回调调用我的 AutoML--> 结果

调用的代码片段pubsub如下所示：

blob=blob+bytes(doc_type,'utf-8')
        publisher.publish(topic,blob)
        future=subscriber.subscribe(subscription,callback=callback)
        #flash("The object is "+future,'info')
        try:
            future.result()
        except Exception as ex:
            subscriber.close()

在PubSub回调中：

def callback(message):
     new_message=message.data
     display_name,score=predict_value(new_message,"modelID","projectid",'us-central1')
     message.ack()

我predict_value得到model_id,project id并计算region并执行预测。

当我直接调用predict_value而不使用PubSub它时，它工作正常。如果我这样做，我会收到以下错误：

google.api_core.exceptions.PermissionDenied: 403 Permission 'automl.models.predict' denied on resource 'projects/projectID/locations/us-central1/models/' (or it may not exist).

请帮我解决问题

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2 回答 2

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非常感谢您的所有回复。我刚刚使用下面的代码片段示例解决了这个问题

def receive_messages_synchronously(project, subscription_name):
"""Pulling messages synchronously."""
# [START pubsub_subscriber_sync_pull]
# project           = "Your Google Cloud Project ID"
# subscription_name = "Your Pubsub subscription name"
subscriber = pubsub_v1.SubscriberClient()
subscription_path = subscriber.subscription_path(
    project, subscription_name)

# Builds a pull request with a specific number of messages to return.
# `return_immediately` is set to False so that the system waits (for a
# bounded amount of time) until at lease one message is available.
response = subscriber.pull(
    subscription_path,
    max_messages=3,
    return_immediately=False)

ack_ids = []
for received_message in response.received_messages:
    print("Received: {}".format(received_message.message.data))
    ack_ids.append(received_message.ack_id)

# Acknowledges the received messages so they will not be sent again.
subscriber.acknowledge(subscription_path, ack_ids)
# [END pubsub_subscriber_sync_pull]

创建订阅的原因是使用拉取请求。我猜使用的回调方法概念主要是用于“推送”，这可能是因为我没有给出端点和令牌来发布消息。希望我的猜测是正确的。也让我知道你的看法。

于 2018-09-05T04:10:17.463 回答
0

这可能是由于以下两个因素之一：

  • 将请求发送到 AutoML API 时使用的凭据无效 - pubsub 很可能在其他上下文中执行并且无法获取默认凭据

  • 无效的模型资源名称（确保它是正确的） - 它应该类似于：“projects/12423534/locations/us-central1/models/23432423”

于 2018-09-04T21:14:48.173 回答