从 Prompt 到上线，只需十分钟！用 CloudBase AI ToolKit + Cursor 秒造 AI 小程序

Create a WeChat Mini Program called "AI Mood Diary".
Features:
1. User login with WeChat.
2. Each day, the user can write a diary entry.
3. Use Tencent NLP API to analyze sentiment (positive/neutral/negative + score).
4. Save diary entries and sentiment to CloudBase database.
5. Display a historical mood chart with ECharts.
Please generate both frontend (miniprogram) and backend (CloudBase Functions) code.
Deployable on Tencent CloudBase directly.

const cloud = require('wx-server-sdk')
const axios = require('axios')

cloud.init()

exports.main = async (event, context) => {
  const { content } = event
  const res = await axios.post('https://nlp.tencentcloudapi.com', {
    Text: content,
    Action: 'TextSentiment',
    Version: '2019-04-08'
  }, {
    headers: {
      'X-TC-Action': 'TextSentiment',
      'X-TC-Region': 'ap-guangzhou',
      'X-TC-Timestamp': Math.floor(Date.now() / 1000),
      'Content-Type': 'application/json',
      'X-TC-SecretId': 'xxx',
      'X-TC-SecretKey': 'xxx'
    }
  })

  return res.data
}

<view class="container">
  <textarea placeholder="写下你的今天..." bindinput="onInput" />
  <button bindtap="analyzeMood">分析情绪</button>
  <view wx:if="{{mood}}">
    <text>你的情绪：{{mood.label}}，分数：{{mood.score}}</text>
  </view>
</view>

Page({
  data: {
    content: '',
    mood: null
  },
  onInput(e) {
    this.setData({ content: e.detail.value })
  },
  async analyzeMood() {
    const res = await wx.cloud.callFunction({
      name: 'analyzeMood',
      data: { content: this.data.content }
    })
    this.setData({ mood: res.result.Sentiment })
  }
})

npm install -g @cloudbase/cli

tcb login
tcb init
tcb framework deploy