实时热点追踪与AI内容生成：自媒体破局流量瓶颈的技术实践

python下载复制运行# 腾讯云TI平台实时热点抓取示例
import requests
from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile

def fetch_hot_topics():
    cred = credential.Credential("SECRET_ID", "SECRET_KEY")
    clientProfile = ClientProfile()
    client = tmt_client.TmtClient(cred, "ap-guangzhou", clientProfile)
    
    req = models.TextToSpeechRequest()
    params = {
        "Topic": "latest_news",
        "Limit": 10,
        "Offset": 0
    }
    req.from_json_string(params)
    
    resp = client.TextToSpeech(req)
    return resp.HotTopics

vue复制<template>
  <div class="content-editor">
    <textarea v-model="prompt" placeholder="输入指令..."></textarea>
    <button @click="generateContent">AI创作</button>
    <div class="answer-box" v-if="answer">
      <h3>生成结果：</h3>
      <div v-html="answer.content"></div>
      <button @click="optimizeContent">深度优化</button>
    </div>
  </div>
</template>

<script>
export default {
  data() {
    return {
      prompt: '',
      answer: null
    }
  },
  methods: {
    async generateContent() {
      const response = await axios.post('/api/generate', { prompt: this.prompt })
      this.answer = response.data
    },
    optimizeContent() {
      // 调用大模型进行内容润色
    }
  }
}
</script>

java下载复制运行// 微信开发SDK集成示例
public class WechatPublisher {
    public static void postArticle(String appId, String openId, String content) {
        WxMpService wxService = new WxMpServiceImpl();
        wxService.setWxMpConfigStorage(new WxMpInMemoryConfigStorage());
        
        Article article = new Article();
        article.setTitle("今日热点速递");
        article.setDescription("AI生成内容提升效率实战");
        article.setUrl("https://example.com/article");
        article.setPicUrl("https://example.com/thumbnail.jpg");
        
        wxService.getMpMaterialService().materialNewsUpload(article);
    }
}

python下载复制运行# 数据加密传输实现
import hashlib
import base64

def secure_data_transmission(data):
    secret_key = b"your_secret_key_here"
    iv = os.urandom(16)
    
    cipher = Cipher(algorithms.AES(secret_key), modes.CBC(iv))
    encryptor = cipher.encryptor()
    
    padder = padding.PKCS7(128).padder()
    padded_data = padder.update(data) + padder.finalize()
    
    encrypted_data = encryptor.update(padded_data) + encryptor.finalize()
    return base64.b64encode(iv + encrypted_data).decode('utf-8')