feat: 网页爬虫&总结改成使用MIFY支持

.vscode/settings.json

@@ -24,6 +24,7 @@
     "metas",
     "MIAI",
     "michat",
+    "mify",
     "mina",
     "mindnote",
     "openai",

controller/reportAgent/index.ts

@@ -11,7 +11,10 @@ import { extractSheetIds, validateLink } from "../../utils/string"
  * @returns {Promise<any>} - 返回爬取结果
  * @throws {Error} - 当爬取失败时抛出错误
  */
-const crawlWebPage = async (ctx: Context, link: string): Promise<any> => {
+export const crawlWebPage = async (
+  ctx: Context,
+  link: string
+): Promise<any> => {
   const { attachService } = ctx
   const crawRes = await attachService.crawlWeb(link)
   if (!crawRes || crawRes?.code) throw new Error("网页抓取失败")
@@ -26,7 +29,7 @@ const crawlWebPage = async (ctx: Context, link: string): Promise<any> => {
  * @returns {Promise<string>} - 返回简报内容
  * @throws {Error} - 当生成简报失败时抛出错误
  */
-const generateSummary = async (
+export const generateSummary = async (
   ctx: Context,
   userDescription: string,
   content: any
@@ -141,6 +144,7 @@ const agent = async (ctx: Context, link: string, userDescription: string) => {
     larkService: { message },
     larkCard,
     logger,
+    attachService,
   } = ctx
   const cardGender = larkCard.child("webAgent")
   try {
@@ -150,10 +154,12 @@ const agent = async (ctx: Context, link: string, userDescription: string) => {
     await message.updateOrReply(
       cardGender.genSuccessCard("正在为您收集简报，请稍等片刻~")
     )
-    // 抓取网页
-    const crawRes = await crawlWebPage(ctx, link)
-    // 调用模型生成简报
-    const llmRes = await generateSummary(ctx, userDescription, crawRes)
+    // // 抓取网页
+    // const crawRes = await crawlWebPage(ctx, link)
+    // // 调用模型生成简报
+    // const llmRes = await generateSummary(ctx, userDescription, crawRes)
+    // 调用mify服务生成简报
+    const llmRes = await attachService.mifyCrawler(link, userDescription)
     // 插入到表格
     const sheetLink = await insert2Sheet(ctx, link, userDescription, llmRes)
     // 发送简报卡片

services/attach/index.ts

@@ -1,6 +1,7 @@
 import type { LarkEvent } from "@egg/lark-msg-tool"
 import { NetToolBase } from "@egg/net-tool"
 
+import { APP_CONFIG } from "../../constant/config"
 import { LarkServer } from "../../types"
 
 interface Chat2SoupParams {
@@ -96,6 +97,43 @@ class AttachService extends NetToolBase {
     const URL = "https://lark-egg.ai.xiaomi.com/tools/web/crawler"
     return this.get<LarkServer.BaseRes<string>>(URL, { url }).catch(() => null)
   }
+
+  /**
+   * 使用mify爬虫抓取网页内容
+   * @param {string} link - 网页链接
+   * @param {string} userDescription - 用户描述
+   * @returns {Promise<any>} 返回爬取结果
+   */
+  async mifyCrawler(link: string, userDescription: string) {
+    const URL = "https://mify-be.pt.xiaomi.com/api/v1/workflows/run"
+    return this.post(
+      URL,
+      {
+        inputs: {
+          link,
+          userDescription,
+        },
+        response_mode: "blocking",
+        user: "egg-server",
+      },
+      {},
+      {
+        Authorization: `Bearer ${APP_CONFIG.MIFY_CRAWLER_TOKEN}`,
+      }
+    )
+      .then((res) => {
+        const llmRes = res.data.outputs.content
+        if (!llmRes) throw new Error("模型总结失败")
+        if (llmRes === "crawlerErr") throw new Error("网页抓取失败")
+        return llmRes as string
+      })
+      .catch((error) => {
+        if (["网页抓取失败", "模型总结失败"].includes(error.message)) {
+          throw error
+        }
+        throw new Error("MIFY爬虫请求失败")
+      })
+  }
 }
 
 export default AttachService

test/llm/mifyCrawler.ts

@@ -0,0 +1,11 @@
+import initAppConfig from "../../constant/config"
+import { AttachService } from "../../services"
+
+await initAppConfig()
+
+const server = new AttachService()
+
+server
+  .mifyCrawler("https://lacus.site", "详细介绍alpine")
+  .then(console.log)
+  .catch(console.error)