如何处理dialogflow中的自定义有效载荷的答案？

Question

我有一个机器人可以使用Dialogflow for Slack很好地处理欢迎意图。但是，我不知道如何处理welcome intent的答案以触发第二篇文章。实际上，输出welcome intent上下文的await_answer1在json中显示了以下模板：

{
  "slack": {
    "text": "",
    "attachments": [
      {
        "blocks": [
          {
            "type": "section",
            "text": {
              "type": "mrkdwn",
              "text": "*How have you been feeling?* Poll by <fakeLink.toUser.com|Mihailo>"
            }
          },
          {
            "type": "divider"
          },
          {
            "type": "section",
            "text": {
              "type": "mrkdwn",
              "text": ":tired_face: *I’ve been feeling more exasperated and hopeless*"
            },
            "accessory": {
              "type": "button",
              "text": {
                "emoji": true,
                "type": "plain_text",
                "text": "Vote"
              },
              "value": "1"
            }
          },
          {
            "accessory": {
              "value": "2",
              "type": "button",
              "text": {
                "emoji": true,
                "type": "plain_text",
                "text": "Vote"
              }
            },
            "type": "section",
            "text": {
              "type": "mrkdwn",
              "text": ":expressionless: *Generally, less freaked out than other people*"
            }
          },
          {
            "accessory": {
              "type": "button",
              "text": {
                "emoji": true,
                "type": "plain_text",
                "text": "Vote"
              },
              "value": "3"
            },
            "type": "section",
            "text": {
              "type": "mrkdwn",
              "text": ":relieved: *More calm and hopeful*"
            }
          },
          {
            "type": "divider"
          },
        ]
      }
    ]
  }
}

我想处理答案。因此，我创建了一个answer1意图，该意图将await_answer1作为输入上下文。训练短语是以上模板的输出：1，2，3，4，5。并且默认文本响应为Interesting!，但是选择答案后为Fallback intent而不是answer1。因此，如何在dialogflow中处理自定义有效负载的答案？

AngelDev答案

我尝试加入block_id：

{
  "slack": {
    "text": "",
    "attachments": [
      {
        "blocks": [
          {
            "type": "section",
            "text": {
              "type": "mrkdwn",
              "text": "*How have you been feeling?* Poll by <fakeLink.toUser.com|Mihailo>"
            }
          },
          {
            "type": "divider"
          },
          {
            "accessory": {
              "type": "button",
              "text": {
                "emoji": true,
                "type": "plain_text",
                "text": "Vote"
              },
              "value": "1"
            },
            "type": "section",
            "block_id": "1",
            "text": {
              "type": "mrkdwn",
              "text": ":tired_face: *I’ve been feeling more exasperated and hopeless*"
            }
          },
          {
            "accessory": {
              "type": "button",
              "text": {
                "emoji": true,
                "type": "plain_text",
                "text": "Vote"
              },
              "value": "2"
            },
            "type": "section",
            "block_id": "2",
            "text": {
              "type": "mrkdwn",
              "text": ":expressionless: *Generally, less freaked out than other people*"
            }
          },
          {
            "type": "section",
            "text": {
              "type": "mrkdwn",
              "text": ":relieved: *More calm and hopeful*"
            },
            "accessory": {
              "type": "button",
              "text": {
                "emoji": true,
                "type": "plain_text",
                "text": "Vote"
              },
              "value": "3"
            }
          },
          {
            "type": "section",
            "block_id": "4",
            "text": {
              "type": "mrkdwn",
              "text": ":fearful: *More scared and panicked*"
            },
            "accessory": {
              "value": "4",
              "type": "button",
              "text": {
                "emoji": true,
                "type": "plain_text",
                "text": "Vote"
              }
            }
          },
          {
            "type": "section",
            "block_id": "5", 
            "text": {
              "type": "mrkdwn",
              "text": ":open_mouth: *More surprised and baffled*"
            },
            "accessory": {
              "value": "5",
              "type": "button",
              "text": {
                "emoji": true,
                "type": "plain_text",
                "text": "Vote"
              }
            }
          }
        ]
      }
    ]
  }
}

但是，当我单击按钮时，DialogFlow bot落在DefaultFallback意图上，而不是转到应该处理answer1上下文的await_answer1意图上。

Answer 1

我不确定原因为何，但是如果删除输出和输入上下文，则此设置可以正常工作。

这些是我使用的附件属性，我只更改了value属性，并将这些值作为示例短语添加到了我的意图中。

"accessory": {
              "value": "First",
              "type": "button",
              "text": {
                "emoji": true,
                "type": "plain_text",
                "text": "Vote"
              }
            },

"accessory": {
              "value": "Second",
              "type": "button",
              "text": {
                "emoji": true,
                "type": "plain_text",
                "text": "Vote"
              }
            },

"accessory": {
              "type": "button",
              "text": {
                "emoji": true,
                "type": "plain_text",
                "text": "Vote"
              },
              "value": "Third"

如果您想建立一个非常定制的Slack体验，可能值得研究Slack API。当前，在Dialogflow UI中，not supported是OnClick事件和其他特定于Slack的事件，但是您可以将其与webhook中的代码集成在一起，然后从那里更详细地自定义对话。

Answer 2

您必须在块排列的每个元素的自定义有效载荷中包含一个block_id，并且此值必须在您意图的训练短语中，因为当您收到交互时，您会收到此block_id。例如

  {
      "type": "section",
      "text": {
          "type": "mrkdwn",
          "text": "*How have you been feeling?* Poll by <fakeLink.toUser.com|Mihailo>"
        },
       block_id: "section_1"
     }

我希望这是您想要的，但是您可以写信给我，以帮助您解决疑虑。