Dialogflow CX-使用Webhook实现来回复用户

问题描述

https://i.stack.imgur.com/oqT5V.png https://i.stack.imgur.com/r3thU.png

{
  "currentPage": {
    "displayName": "Start Page","name": "projects/agent3-293107/locations/global/agents/5ca68c8a-abfc-4b35-a06a-f50cd4b697bd/flows/00000000-0000-0000-0000-000000000000/pages/START_PAGE"
  },"diagnosticInfo": {
    "Triggered Transition Names": [
      "e03439ef-fc0c-49f1-943e-2b5d46d68474"
    ],"Execution Sequence": [
      {
        "Step 1": {
          "InitialState": {
            "FlowState": {
              "Name": "Default Start Flow","PageState": {
                "Name": "Start Page","Status": "TRANSITION_ROUTING"
              }
            },"MatchedIntent": {
              "Type": "NLU","displayName": "Default Welcome Intent","Active": true,"Id": "00000000-0000-0000-0000-000000000000","score": 1
            }
          },"Type": "INITIAL_STATE"
        }
      },{
        "Step 2": {
          "Type": "STATE_MACHINE","StateMachine": {
            "TriggeredIntent": "Default Welcome Intent","FlowState": {
              "PageState": {
                "Name": "Start Page","Status": "TRANSITION_ROUTING"
              },"Version": 0,"Name": "Default Start Flow"
            },"TransitionId": "e03439ef-fc0c-49f1-943e-2b5d46d68474"
          }
        }
      },{
        "Step 3": {
          "Type": "FUNCTION_EXECUTION","FunctionExecution": {
            "Responses": [],"Webhook": {
              "Status": "OK","Latency": "95 ms"
            }
          }
        }
      },{
        "Step 4": {
          "Type": "STATE_MACHINE","StateMachine": {
            "FlowState": {
              "Name": "Default Start Flow","Status": "TRANSITION_ROUTING"
              }
            }
          }
        }
      }
    ],"Transition Targets Chain": [],"Webhook Latencies (ms)": [
      95
    ],"Alternative Matched Intents": [
      {
        "Id": "00000000-0000-0000-0000-000000000000","Type": "NLU","score": 1,"Active": true
      }
    ]
  },"intent": {
    "displayName": "Default Welcome Intent","name": "projects/agent3-293107/locations/global/agents/5ca68c8a-abfc-4b35-a06a-f50cd4b697bd/intents/00000000-0000-0000-0000-000000000000"
  },"intentDetectionConfidence": 1,"languageCode": "en","match": {
    "confidence": 1,"intent": {
      "displayName": "Default Welcome Intent","name": "projects/agent3-293107/locations/global/agents/5ca68c8a-abfc-4b35-a06a-f50cd4b697bd/intents/00000000-0000-0000-0000-000000000000"
    },"matchType": "INTENT","modelType": "MODEL_TYPE_STANDARD","resolvedInput": "hi"
  },"sentimentAnalysisResult": {
    "magnitude": 0.3,"score": 0.3
  },"text": "hi","webhookPayloads": [
    {}
  ],"webhookStatuses": [
    {}
  ]
}

我正在学习如何在dialogflow CX实现中使用webhook。 上面的代码是dialogflow CX的测试代理模拟器中的“原始响应”。 步骤3表示我的Webhook状态正常，但是没有响应。 返回的JSON内容正确吗？ dialogflow CX与ES如何解析其响应？

解决方法

Dialogflow CX webhooks与Dialogflow ES webhooks类似，除了request和response字段已更改为支持Dialogflow CX功能。这就是Dialogflow CX解析其响应与Dialogflow ES有所不同的原因。

如所附屏幕截图所示，您仅在对象中使用了 text 字段参数，而不是 fulfillment_response.messages [] 表示可以返回的响应消息由您的对话代理。要针对您的用例获得所需的Webhook响应，请确保遵循Dialogflow CX的webhook response format。如果使用Flask，请考虑使用 jsonify 方法，如下所示：

from flask import Flask,request,jsonify
app = Flask(__name__)

@app.route('/',methods=['GET','POST'])
def hello_world();
    tag = request.json[‘fulfillmentInfo’][‘tag’]
    fulfillmentResponse = {
        'fulfillmentResponse'= {
            'messages': [{
                'text': {
                    'text': 'Hello World!'
                }
            }]
            },‘sessionInfo’:request.json[‘sessionInfo’]
    }
    return jsonify(fulfillmentResponse)

@app.route('/webhook','POST'])
def webhook():
    tag = request.json[‘fulfillmentInfo’][‘tag’]
    fulfillmentResponse = {
        'fulfillmentResponse'= {
            'messages': [{
                'text': {
                    'text': 'Hi there'
                }
            }]
        },‘sessionInfo’:request.json[‘sessionInfo’]
    }
    return jsonify(fulfillmentResponse)

    app.run(host='0.0.0.0',port=8080)

这是结果：

Webhook响应JSON结果：

{
   "fulfillmentResponse":{
      "messages":[
         {
            "text":{
               "text":[
                  "Hello World"
               ]
            }
         }
      ]
   },"sessionInfo":{
      "session":"projects/project-id/locations/location-id/agents/agent-id/sessions/sessions-id"
   }
}

此外，您在Dialogflow CX中获得的原始响应是处理Webhook之后返回的响应内容。

,

截至 2021 年 3 月 5 日，我能够在 GCP 云函数中使用以下代码段作为网络钩子实现。

重要的是，为了让代理正确处理 webhook 响应，例如 fulfillmentResponse 到 fulfillment_response，我必须从camelCase 切换到snake_case。

from flask import jsonify

def process_call(request):


  request_json = request.get_json()
  print(request_json)
  response_dict = {
       "fulfillment_response":{
            "messages":[
              {
                  "text":{
                    "text":[
                        "This is a text example where we explore the importance of webhooks and session variables. The amount due is $session.params.amount_due."
                    ]
                  }
              }
            ]
        },"session_info":{
          "parameters": {
            "amount_due": 500
          }
        } 
  }

  print(response_dict)

  return jsonify(response_dict)