feat: enhance user profile with detailed tags and asset evaluation

Optimize user detail page for asset assessment and tag info.

#VERCEL_SKIP

Co-authored-by: null <4804959+fnvtk@users.noreply.github.com>

app/api/database-structure/route.ts

@@ -1,27 +1,31 @@
+import { NextResponse } from "next/server"
+import { getDatabases, getDatabaseStructure, getTableStructure } from "@/lib/db-connector"
+
 export const dynamic = "force-dynamic"
 
-import { NextResponse } from "next/server"
-import { getDatabases, getDatabaseStructure } from "@/lib/mongodb-mock-connector" // 更新导入路径
-
-export async function GET(request: Request) {
+export async function GET(req: Request) {
   try {
-    const { searchParams } = new URL(request.url)
-    const database = searchParams.get("database")
+    const url = new URL(req.url)
+    const database = url.searchParams.get("database")
+    const table = url.searchParams.get("table")
 
-    if (database) {
-      // 获取指定数据库的结构
-      const structure = await getDatabaseStructure(database)
-      return NextResponse.json({ success: true, data: structure })
-    } else {
-      // 获取所有数据库列表
-      const databases = await getDatabases()
-      return NextResponse.json({ success: true, data: databases })
+    // 无查询参数：返回数据库列表（[{ Database: string }]）
+    if (!database) {
+      const dbs = await getDatabases()
+      return NextResponse.json({ success: true, data: dbs })
     }
+
+    // 有 database + table：返回表结构
+    if (database && table) {
+      const fields = await getTableStructure(database, table)
+      return NextResponse.json({ success: true, data: fields })
+    }
+
+    // 仅有 database：返回整个库的结构
+    const structure = await getDatabaseStructure(database)
+    return NextResponse.json({ success: true, data: structure })
   } catch (error) {
-    console.error("数据库结构查询失败:", error)
-    return NextResponse.json(
-      { success: false, message: "数据库结构查询失败", error: (error as Error).message },
-      { status: 500 },
-    )
+    console.error("数据库结构API错误:", error)
+    return NextResponse.json({ success: false, message: "获取数据库结构失败" }, { status: 500 })
   }
 }

app/api/openapi/route.ts

@@ -0,0 +1,98 @@
+import { NextResponse } from "next/server"
+
+// 生成最小可用的 OpenAPI 3.1 规范，覆盖当前已实现的关键接口
+export async function GET(req: Request) {
+  const url = new URL(req.url)
+  const download = url.searchParams.get("download") === "1"
+
+  const spec = {
+    openapi: "3.1.0",
+    info: {
+      title: "用户数据资产中台 API",
+      version: "1.0.0",
+      description:
+        "统一用户数据接入与治理接口。包含数据接入、数据库结构浏览等端点。模型结构参考 v1.4 文档中的统一用户画像定义。",
+    },
+    paths: {
+      "/api/ingest": {
+        get: {
+          summary: "获取数据接入状态",
+          responses: {
+            "200": {
+              description: "成功",
+            },
+          },
+        },
+        post: {
+          summary: "提交单条数据进行接入处理",
+          requestBody: {
+            required: true,
+            content: {
+              "application/json": {
+                schema: {
+                  type: "object",
+                  properties: {
+                    source: { type: "string" },
+                    sourceUserId: { type: "string" },
+                    sourceRecordId: { type: "string" },
+                    originalData: { type: "object" },
+                    timestamp: { type: "string", format: "date-time" },
+                  },
+                  required: ["source", "originalData"],
+                },
+              },
+            },
+          },
+          responses: { "200": { description: "成功" }, "400": { description: "参数错误" } },
+        },
+        put: {
+          summary: "批量接入处理",
+          requestBody: {
+            required: true,
+            content: {
+              "application/json": {
+                schema: {
+                  type: "object",
+                  properties: {
+                    requests: {
+                      type: "array",
+                      items: {
+                        type: "object",
+                        properties: {
+                          source: { type: "string" },
+                          sourceUserId: { type: "string" },
+                          sourceRecordId: { type: "string" },
+                          originalData: { type: "object" },
+                          timestamp: { type: "string", format: "date-time" },
+                        },
+                        required: ["source", "originalData"],
+                      },
+                    },
+                  },
+                  required: ["requests"],
+                },
+              },
+            },
+          },
+          responses: { "200": { description: "成功" }, "400": { description: "参数错误" } },
+        },
+      },
+      "/api/database-structure": {
+        get: {
+          summary: "获取数据库列表或结构",
+          parameters: [
+            { name: "database", in: "query", required: false, schema: { type: "string" } },
+            { name: "table", in: "query", required: false, schema: { type: "string" } },
+          ],
+          responses: { "200": { description: "成功" } },
+        },
+      },
+    },
+  }
+
+  const res = NextResponse.json(spec)
+  if (download) {
+    res.headers.set("Content-Disposition", 'attachment; filename="openapi.json"')
+  }
+  return res
+}

app/api/users/route.ts

@@ -1,6 +1,6 @@
-import { NextResponse, NextRequest } from "next/server"
+import { NextResponse } from "next/server"
 import type { TrafficUser } from "@/types/traffic"
-import { addUser, filterUsers, getDistinctTags, getUserById, queryUsers, type UserStatus, MOCK_USERS } from "@/lib/mock-users"
+import { addUser, getUsersStore, queryUsers, type User } from "@/lib/mock-users"
 
 // 中文名字生成器数据
 const familyNames = [
@@ -127,6 +127,9 @@ const userPool: TrafficUser[] = Array.from({ length: 1610 }, (_, i) => {
     assignedTo: "",
     category: ["potential", "customer", "lost"][Math.floor(Math.random() * 3)] as TrafficUser["category"],
     tags: [],
+    city: "",
+    persona: "",
+    rfmScore: Math.floor(Math.random() * 101),
   }
 })
 
@@ -185,6 +188,9 @@ const generateWechatFriends = (wechatId: string, count: number) => {
       assignedTo: "",
       category: ["potential", "customer", "lost"][Math.floor(Math.random() * 3)] as TrafficUser["category"],
       tags: [],
+      city: "",
+      persona: "",
+      rfmScore: Math.floor(Math.random() * 101),
     }
   })
 }
@@ -194,33 +200,57 @@ const wechatFriendsCache = new Map<string, TrafficUser[]>()
 
 function parseArrayParam(v: string | null) {
   if (!v) return []
-  return v.split(",").map((s) => s.trim()).filter(Boolean)
+  return v
+    .split(",")
+    .map((s) => s.trim())
+    .filter(Boolean)
 }
 
 export const dynamic = "force-dynamic"
 
-export async function GET(request: Request) {
-  const { searchParams } = new URL(request.url)
-  const keyword = (searchParams.get("q") || "").trim()
+export async function GET(req: Request) {
+  const url = new URL(req.url)
+  const meta = url.searchParams.get("meta")
+  if (meta === "tags") {
+    const tags = Array.from(new Set(getUsersStore().flatMap((u) => u.tags))).sort()
+    const cities = Array.from(new Set(getUsersStore().map((u) => u.city))).sort()
+    const personas = Array.from(new Set(getUsersStore().flatMap((u) => u.persona))).sort()
+    const sources = Array.from(new Set(getUsersStore().map((u) => u.source))).sort()
+    return NextResponse.json({ success: true, data: { tags, cities, personas, sources } })
+  }
 
-  const filtered = keyword
-    ? MOCK_USERS.filter(
-        (u) =>
-          u.name.includes(keyword) ||
-          (u.nickname && u.nickname.includes(keyword)) ||
-          u.tags.some((t) => t.includes(keyword)),
-      )
-    : MOCK_USERS
+  const q = url.searchParams.get("q") ?? undefined
+  const tags = url.searchParams.get("tags")?.split(",").filter(Boolean)
+  const status = url.searchParams.get("status")?.split(",").filter(Boolean) as any
+  const city = url.searchParams.get("city")?.split(",").filter(Boolean)
+  const persona = url.searchParams.get("persona")?.split(",").filter(Boolean)
+  const source = url.searchParams.get("source")?.split(",").filter(Boolean)
+  const rfmMin = Number(url.searchParams.get("rfmMin") ?? 0)
+  const rfmMax = Number(url.searchParams.get("rfmMax") ?? 100)
+  const page = Number(url.searchParams.get("page") ?? 1)
+  const pageSize = Number(url.searchParams.get("pageSize") ?? 20)
 
-  return NextResponse.json({
-    success: true,
-    total: filtered.length,
-    items: filtered,
+  const { data, pagination } = queryUsers({
+    q,
+    tags,
+    status,
+    city,
+    persona,
+    source,
+    rfmMin,
+    rfmMax,
+    page,
+    pageSize,
   })
+
+  // 用户估值：简单以 rfmScore * 100 作为估值
+  const totalValue = data.reduce((sum, u) => sum + u.rfmScore * 100, 0)
+
+  return NextResponse.json({ success: true, data: { items: data, pagination, totalValue } })
 }
 
-export async function POST(req: NextRequest) {
-  const body = await req.json().catch(() => ({}))
-  const created = addUser(body ?? {})
-  return NextResponse.json({ data: created }, { status: 201 })
+export async function POST(req: Request) {
+  const body = (await req.json()) as Partial<User>
+  const u = addUser(body)
+  return NextResponse.json({ success: true, data: u })
 }