我正在嘗試使用Google Cloud Platform AutoMLusing構建應用程序Python。我的整體代碼流程如下所示：用戶交互--> 發送到 PubSub 的數據--> 回調調用我的 AutoML--> 結果調用的代碼段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回調中：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并計算region并執行預測。當我直接調用predict_value而不使用PubSub它時工作正常。如果我這樣做，我會收到以下錯誤：google.api_core.exceptions.PermissionDenied: 403 Permission 'automl.models.predict' denied on resource 'projects/projectID/locations/us-central1/models/' (or it may not exist).請幫我解決問題
2 回答
拉風的咖菲貓
TA貢獻1995條經驗 獲得超2個贊
非常感謝您的所有回復。我剛剛使用下面的代碼片段示例解決了這個問題
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]
原因是創建的訂閱使用拉取請求。我猜使用的回調方法概念主要是為了“推送”，這可能是因為我沒有提供端點和令牌來發布消息。希望我的猜測是正確的。也讓我知道你的看法。
楊魅力
TA貢獻1811條經驗 獲得超6個贊
這可能是由于以下兩個因素之一造成的：
向 AutoML API 發送請求時使用的憑據無效 - pubsub 很可能在其他上下文中執行并且無法獲取默認憑據
無效的模型資源名稱（確保它是正確的） - 它應該是這樣的：“projects/12423534/locations/us-central1/models/23432423”
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