Webhook

为了提高构建 Action 的灵活性,您可以将逻辑委托给 HTTPS 网络服务(执行方式)。您的 Action 可以触发向 HTTPS 端点发出请求的 webhook。下面列举了一些您可以在执行方式中执行的操作:

  • 根据用户提供的信息生成动态提示。
  • 在外部系统中下单并确认操作成功。
  • 使用后端数据验证槽。
图 1. 调用 intent 和场景可以触发 webhook。

网络钩子触发器和处理程序

您的 Action 可以在调用 intent 或场景中触发网络钩子,从而向执行方式端点发送请求。您的执行方式包含用于处理请求中的 JSON 载荷的 webhook 处理程序。您可以在以下情况下触发网络钩子:

  • 调用 intent 匹配之后
  • 在场景上进入舞台
  • 在场景的条件阶段中条件评估结果为 true 后
  • 在场景的槽填充阶段
  • 在场景的输入阶段发生 intent 匹配后

在 Action 中触发网络钩子时,Google 助理会向您的执行方式发送包含 JSON 载荷的请求,其中包含用于处理事件的处理程序的名称。您的执行方式端点可以将事件路由到相应的处理程序,以执行逻辑并返回相应的包含 JSON 载荷的响应

载荷

以下代码段展示了您的 Action 发送到执行方式的请求示例,以及执行方式返回的响应。如需了解详情,请参阅参考文档

示例请求

{
  "handler": {
    "name": "handler_name"
  },
  "intent": {
    "name": "actions.intent.MAIN",
    "params": {},
    "query": ""
  },
  "scene": {
    "name": "SceneName",
    "slotFillingStatus": "UNSPECIFIED",
    "slots": {}
  },
  "session": {
    "id": "example_session_id",
    "params": {},
    "typeOverrides": []
  },
  "user": {
    "locale": "en-US",
    "params": {
      "verificationStatus": "VERIFIED"
    }
  },
  "home": {
    "params": {}
  },
  "device": {
    "capabilities": [
      "SPEECH",
      "RICH_RESPONSE",
      "LONG_FORM_AUDIO"
    ]
  }
}

示例响应

{
  "session": {
    "id": "example_session_id",
    "params": {}
  },
  "prompt": {
    "override": false,
    "firstSimple": {
      "speech": "Hello World.",
      "text": ""
    }
  },
  "scene": {
    "name": "SceneName",
    "slots": {},
    "next": {
      "name": "actions.scene.END_CONVERSATION"
    }
  }
}

运行时交互

以下部分介绍了您可以在 webhook 处理程序中执行的常见任务。

发送提示

借助 Interactive Canvas,您可以使用简单的文本、富文本、卡片,甚至是由 Web 应用提供支持的全面 HTML 提示来创建提示。提示文档提供了有关如何在处理 webhook 事件时创建提示的完整信息。以下代码段显示了一个卡片提示:

Node.js

app.handle('rich_response', conv => {
  conv.add('This is a card rich response.');
  conv.add(new Card({
    title: 'Card Title',
    subtitle: 'Card Subtitle',
    text: 'Card Content',
    image: new Image({
      url: 'https://developers.google.com/assistant/assistant_96.png',
      alt: 'Google Assistant logo'
    })
  }));
});

响应 JSON

{
  "session": {
    "id": "example_session_id",
    "params": {}
  },
  "prompt": {
    "override": false,
    "content": {
      "card": {
        "title": "Card Title",
        "subtitle": "Card Subtitle",
        "text": "Card Content",
        "image": {
          "alt": "Google Assistant logo",
          "height": 0,
          "url": "https://developers.google.com/assistant/assistant_96.png",
          "width": 0
        }
      }
    },
    "firstSimple": {
      "speech": "This is a card rich response.",
      "text": ""
    }
  }
}

读取 intent 参数

当 Google 助理运行时与 intent 匹配时,它会提取任何已定义的参数。原始属性是用户提供作为输入的内容,已解析的属性是 NLU 根据类型规范将输入解析为的属性。

Node.js

conv.intent.params['param_name'].original
conv.intent.params['param_name'].resolved

请求 JSON

{
  "handler": {
    "name": "handler_name"
  },
  "intent": {
    "name": "intent_name",
    "params": {
      "slot_name": {
        "original": "1",
        "resolved": 1
      }
    },
    "query": ""
  },
  "scene": {
    "name": "SceneName",
    "slotFillingStatus": "UNSPECIFIED",
    "slots": {},
    "next": {
      "name": "actions.scene.END_CONVERSATION"
    }
  },
  "session": {
    "id": "session_id",
    "params": {},
    "typeOverrides": []
  },
  "user": {
    "locale": "en-US",
    "params": {
      "verificationStatus": "VERIFIED"
    }
  },
  "home": {
    "params": {}
  },
  "device": {
    "capabilities": [
      "SPEECH",
      "RICH_RESPONSE",
      "LONG_FORM_AUDIO"
    ]
  }
}

读取用户语言区域

此值与 Google 助理的用户语言区域设置相对应。

Node.js

conv.user.locale

JSON

{
  "handler": {
    "name": "handler_name"
  },
  "intent": {
    "name": "actions.intent.MAIN",
    "params": {},
    "query": ""
  },
  "scene": {
    "name": "SceneName",
    "slotFillingStatus": "UNSPECIFIED",
    "slots": {}
  },
  "session": {
    "id": "session_id",
    "params": {},
    "typeOverrides": []
  },
  "user": {
    "locale": "en-US",
    "params": {
      "verificationStatus": "VERIFIED"
    }
  },
  "home": {
    "params": {}
  },
  "device": {
    "capabilities": [
      "SPEECH",
      "RICH_RESPONSE",
      "LONG_FORM_AUDIO"
    ]
  }
}

读取和写入存储空间

如需全面了解如何使用各种存储功能,请参阅存储文档。

Node.js

//read
conv.session.params.key
conv.user.params.key
conv.home.params.key

// write
conv.session.params.key = value
conv.user.params.key = value
conv.home.params.key = value 

请求 JSON

{
  "handler": {
    "name": "handler_name"
  },
  "intent": {
    "name": "actions.intent.MAIN",
    "params": {},
    "query": ""
  },
  "scene": {
    "name": "SceneName",
    "slotFillingStatus": "UNSPECIFIED",
    "slots": {}
  },
  "session": {
    "id": "session_id",
    "params": {
      "key": "value"
    },
    "typeOverrides": [],
    "languageCode": ""
  },
  "user": {
    "locale": "en-US",
    "params": {
      "verificationStatus": "VERIFIED",
      "key": "value"
    }
  },
  "home": {
    "params": {
      "key": "value"
    }
  },
  "device": {
    "capabilities": [
      "SPEECH",
      "RICH_RESPONSE",
      "LONG_FORM_AUDIO"
    ]
  }
}

响应 JSON

{
  "session": {
    "id": "session_id",
    "params": {
      "key": "value"
    }
  },
  "prompt": {
    "override": false,
    "firstSimple": {
      "speech": "Hello world.",
      "text": ""
    }
  },
  "user": {
    "locale": "en-US",
    "params": {
      "verificationStatus": "VERIFIED",
      "key": "value"
    }
  },
  "home": {
    "params": {
      "key": "value"
    }
  }
}

检查设备功能

您可以检查设备能否提供不同的体验或对话流程。

Node.js

const supportsRichResponse = conv.device.capabilities.includes("RICH_RESPONSE");
const supportsLongFormAudio = conv.device.capabilities.includes("LONG_FORM_AUDIO");
const supportsSpeech = conv.device.capabilities.includes("SPEECH");
const supportsInteractiveCanvas = conv.device.capabilities.includes("INTERACTIVE_CANVAS");

请求 JSON

{
  "handler": {
    "name": "handler_name"
  },
  "intent": {
    "name": "actions.intent.MAIN",
    "params": {},
    "query": ""
  },
  "scene": {
    "name": "SceneName",
    "slotFillingStatus": "UNSPECIFIED",
    "slots": {}
  },
  "session": {
    "id": "session_id",
    "params": {},
    "typeOverrides": [],
    "languageCode": ""
  },
  "user": {
    "locale": "en-US",
    "params": {
      "verificationStatus": "VERIFIED"
    }
  },
  "home": {
    "params": {}
  },
  "device": {
    "capabilities": [
      "SPEECH",
      "RICH_RESPONSE",
      "LONG_FORM_AUDIO",
      "INTERACTIVE_CANVAS"
    ]
  }
}

如需查看 Surface 功能的完整列表,请参阅 Capability 参考文档。

运行时类型替换

借助运行时类型,您可以在运行时修改类型规范。您可以使用此功能从其他来源加载数据,以填充类型的有效值。例如,您可以使用运行时类型替换项,向调查问卷问题添加动态选项或向菜单添加每日内容。

如需使用运行时类型,请从 Action 中触发网络钩子,该 Action 会调用执行方式中的处理程序。然后,您可以在对您的 Action 的响应中填充 session.typeOverrides 参数。可用模式包括 TYPE_MERGE(用于保留现有类型条目)或 TYPE_REPLACE(用于将现有条目替换为替换项)。

Node.js

conv.session.typeOverrides = [{
    name: type_name,
    mode: 'TYPE_REPLACE',
    synonym: {
      entries: [
        {
          name: 'ITEM_1',
          synonyms: ['Item 1', 'First item']
        },
        {
          name: 'ITEM_2',
          synonyms: ['Item 2', 'Second item']
       },
       {
          name: 'ITEM_3',
          synonyms: ['Item 3', 'Third item']
        },
        {
          name: 'ITEM_4',
          synonyms: ['Item 4', 'Fourth item']
        },
    ]
  }
}];

响应 JSON

{
  "session": {
    "id": "session_id",
    "params": {},
    "typeOverrides": [
      {
        "name": "type_name",
        "synonym": {
          "entries": [
            {
              "name": "ITEM_1",
              "synonyms": [
                "Item 1",
                "First item"
              ]
            },
            {
              "name": "ITEM_2",
              "synonyms": [
                "Item 2",
                "Second item"
              ]
            },
            {
              "name": "ITEM_3",
              "synonyms": [
                "Item 3",
                "Third item"
              ]
            },
            {
              "name": "ITEM_4",
              "synonyms": [
                "Item 4",
                "Fourth item"
              ]
            }
          ]
        },
        "typeOverrideMode": "TYPE_REPLACE"
      }
    ]
  },
  "prompt": {
    "override": false,
    "firstSimple": {
      "speech": "This is an example prompt.",
      "text": "This is an example prompt."
    }
  }
}

提供语音纠偏

通过语音自定义调整,您可以指定 NLU 的提示以改进意图匹配。您最多可以指定 1000 个条目。

Node.js

conv.expected.speech = ['value_1', 'value_2']
conv.expected.language = 'locale_string'

响应 JSON

{
  "session": {
    "id": "session_id",
    "params": {}
  },
  "prompt": {
    "override": false,
    "firstSimple": {
      "speech": "This is an example prompt.",
      "text": "This is an example prompt."
    }
  },
  "expected": {
    "speech": "['value_1', 'value_2']",
    "language": "locale_string"
  }
}

过渡场景

除了在 Actions 项目中定义静态过渡之外,您还可以使场景过渡在运行时发生。

Node.js

app.handle('transition_to_hidden_scene', conv => {
  // Dynamic transition
  conv.scene.next.name = "HiddenScene";
});

响应 JSON

{
  "session": {
    "id": "session_id",
    "params": {}
  },
  "prompt": {
    "override": false,
    "firstSimple": {
      "speech": "This is an example prompt.",
      "text": ""
    }
  },
  "scene": {
    "name": "SceneName",
    "slots": {},
    "next": {
      "name": "HiddenScene"
    }
  }
}

读取场景槽

在槽填充期间,您可以使用执行方式来验证槽位或检查槽填充状态 (SlotFillingStatus)。

Node.js

conv.scene.slotFillingStatus  // FINAL means all slots are filled
conv.scene.slots  // Object that contains all the slots
conv.scene.slots['slot_name'].<property_name> // Accessing a specific slot's properties

例如,假设您要从响应中提取时区。在此示例中,槽名称为 datetime1。如需获取时区,您应使用:

conv.scene.slots['datetime1'].value.time_zone.id

请求 JSON

{
  "handler": {
    "name": "handler_name"
  },
  "intent": {
    "name": "",
    "params": {
      "slot_name": {
        "original": "1",
        "resolved": 1
      }
    },
    "query": ""
  },
  "scene": {
    "name": "SceneName",
    "slotFillingStatus": "FINAL",
    "slots": {
      "slot_name": {
        "mode": "REQUIRED",
        "status": "SLOT_UNSPECIFIED",
        "updated": true,
        "value": 1
      }
    },
    "next": {
      "name": "actions.scene.END_CONVERSATION"
    }
  },
  "session": {
    "id": "session_id",
    "params": {
      "slot_name": 1
    },
    "typeOverrides": []
  },
  "user": {
    "locale": "en-US",
    "params": {
      "verificationStatus": "VERIFIED"
    }
  },
  "home": {
    "params": {}
  },
  "device": {
    "capabilities": [
      "SPEECH",
      "RICH_RESPONSE",
      "LONG_FORM_AUDIO"
    ]
  }
}

使场景槽位失效

您可以使槽失效,并让用户提供新值。

Node.js

conv.scene.slots['slot_name'].status = 'INVALID'

响应 JSON

{
  "session": {
    "id": "session_id",
    "params": {
      "slot_name": 1
    }
  },
  "prompt": {
    "override": false,
    "firstSimple": {
      "speech": "This is an example prompt.",
      "text": ""
    }
  },
  "scene": {
    "name": "SceneName",
    "slots": {
      "slot_name": {
        "mode": "REQUIRED",
        "status": "INVALID",
        "updated": true,
        "value": 1
      }
    },
    "next": {
      "name": "actions.scene.END_CONVERSATION"
    }
  }
}

开发选项

Actions Builder 提供了一个名为 Cloud Functions 编辑器的内嵌编辑器,可让您直接在控制台中构建和部署 Cloud Functions for Firebase。您还可以构建执行方式并将其部署到您选择的托管服务提供商,并将 HTTPS 执行方式端点注册为网络钩子处理程序。

內嵌编辑器

如需使用 Cloud Functions 编辑器进行开发,请执行以下操作:

  1. 打开您的 Actions 项目,然后依次转到 Develop(开发)标签页 > Webhook > 更改 fulfillment 方法。此时将显示 Fulfillment methods 窗口。
  2. 选择 Inline Cloud Functions,然后点击 Confirm

外部 HTTPS 端点

本部分介绍如何将 Cloud Functions for Firebase 设置为对话型 Action 的执行方式服务。不过,您可以将执行方式部署到您选择的托管服务中。

设置环境

如需设置您的环境,请按以下步骤操作:

  1. 下载并安装 Node.js
  2. 设置并初始化 Firebase CLI。如果以下命令失败并显示 EACCES 错误,您可能需要更改 npm 权限

    npm install -g firebase-tools
    
  3. 使用您的 Google 帐号对 Firebase 工具进行身份验证:

    firebase login
    
  4. 启动您保存了 Actions 项目的项目目录。 系统会要求您选择要为 Actions 项目设置的 Firebase CLI 功能。选择 Functions 以及您可能想使用的其他功能(例如 Firestore),然后按 Enter 键确认并继续:

    $ cd <ACTIONS_PROJECT_DIRECTORY>
    $ firebase init
    
  5. 使用箭头键选择 Firebase 工具并在项目列表中导航,将 Firebase 工具与您的 Actions 项目相关联:

  6. 选择项目后,Firebase 工具会启动 Functions 设置,并询问您要使用的语言。使用箭头键进行选择,然后按 Enter 键以继续。

    === Functions Setup
    A functions directory will be created in your project with a Node.js
    package pre-configured. Functions can be deployed with firebase deploy.
    
    ? What language would you like to use to write Cloud Functions? (Use arrow keys)
    > JavaScript
    TypeScript
    
  7. 选择是否要使用 ESLint 捕获可能出现的 bug 并通过输入 YN 来强制执行样式:

    ? Do you want to use ESLint to catch probable bugs and enforce style? (Y/n)
  8. 通过在提示符中输入 Y 来获取项目依赖项:

    ? Do you want to install dependencies with npm now? (Y/n)

    设置完成后,您将看到类似于以下内容的输出:

    ✔  Firebase initialization complete!
    
  9. 安装 @assistant/conversation 依赖项:

    $ cd <ACTIONS_PROJECT_DIRECTORY>/functions
    $ npm install @assistant/conversation --save
    
  10. 获取执行方式依赖项并部署执行方式函数:

    $ npm install
    $ firebase deploy --only functions
    

    部署需要几分钟时间。完成后,您将看到类似于以下内容的输出。您需要在 Dialogflow 中输入函数网址

    ✔  Deploy complete!
    Project Console: https://console.firebase.google.com/project/<PROJECT_ID>/overview Function URL (<FUNCTION_NAME>): https://us-central1-<PROJECT_ID>.cloudfunctions.net/<FUNCTION_NAME>
  11. 复制要在下一部分中使用的执行方式网址。

注册 webhook 处理程序

如需将 Cloud Functions 函数端点注册为 webhook 处理程序,请执行以下操作:

  1. 在 Actions 控制台中,依次点击 Develop > Webhook
  2. 点击更改履单方法。此时会显示 Fulfillment methods 窗口。
  3. 选择 Webhook,然后点击确认
  4. 将您的网络服务网址粘贴到 Webhook 字段中。
  5. 点击保存