feat: sync Sidebar and BottomNav, standardize user profile API

Align Sidebar & BottomNav menus, remove "Search", add user profile mock data, implement /api/users, add FilterDrawer, complete Section, ProfileHeader, MetricsRFM components

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

app/api/rfm/analyze/route.ts

@@ -0,0 +1,56 @@
+import { NextResponse } from "next/server"
+import { analyzeUser, type AnalyzeInput } from "@/services/rfm-engine"
+import { generateText } from "ai"
+import { openai } from "@ai-sdk/openai"
+
+/**
+ * 可选 AI 标签增强：
+ * - 使用 AI SDK (generateText + openai("gpt-4o"))，符合统一标准 [^1]
+ * - 无 OPENAI_API_KEY 时自动跳过，保持稳定
+ */
+async function aiTagging(chat_logs?: string[]) {
+  const text = (chat_logs ?? []).slice(0, 8).join("。")
+  if (!text) return null
+  if (!process.env.OPENAI_API_KEY) return null
+  try {
+    const { text: out } = await generateText({
+      model: openai("gpt-4o"),
+      system:
+        "请根据用户聊天片段输出JSON，字段：emotion(积极|中性|消极), intent(弱意图|中等意图|强意图), behavior(数组，中文标签最多3个)。只输出JSON。",
+      prompt: `聊天片段：${text}`,
+      // @ts-expect-error ai sdk typings are flexible in Next.js
+      maxTokens: 200,
+    })
+    const json = JSON.parse(out.trim())
+    return json
+  } catch {
+    return null
+  }
+}
+
+export async function POST(req: Request) {
+  try {
+    const body = await req.json()
+    const inputs: AnalyzeInput[] = Array.isArray(body) ? body : [body]
+    const useAI = (Array.isArray(body) ? (body as any).useAI : (body as any)?.useAI) ?? false
+
+    const results = []
+    for (const input of inputs) {
+      const base = analyzeUser(input)
+      if (useAI) {
+        const ai = await aiTagging(input.chat_logs)
+        if (ai) {
+          base.tags.emotion = ai.emotion ?? base.tags.emotion
+          base.tags.intent = ai.intent ?? base.tags.intent
+          if (Array.isArray(ai.behavior)) {
+            base.tags.behavior = Array.from(new Set([...(base.tags.behavior ?? []), ...ai.behavior]))
+          }
+        }
+      }
+      results.push(base)
+    }
+    return NextResponse.json({ success: true, data: results })
+  } catch (e: any) {
+    return NextResponse.json({ success: false, error: e?.message || "Invalid input" }, { status: 400 })
+  }
+}

app/api/rfm/dump_csv/route.ts

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+import { NextResponse } from "next/server"
+import { dumpCsv } from "@/services/rfm-engine"
+
+export async function GET() {
+  const csv = dumpCsv()
+  return new NextResponse(csv, {
+    status: 200,
+    headers: {
+      "Content-Type": "text/csv; charset=utf-8",
+      "Content-Disposition": `attachment; filename="rfm_export_${Date.now()}.csv"`,
+    },
+  })
+}

app/api/rfm/get_tags/route.ts

@@ -0,0 +1,12 @@
+import { NextResponse } from "next/server"
+import { getUserTags } from "@/services/rfm-engine"
+
+export async function GET(req: Request) {
+  const url = new URL(req.url)
+  const userId = url.searchParams.get("user_id")
+  if (!userId) {
+    return NextResponse.json({ success: false, error: "missing user_id" }, { status: 400 })
+  }
+  const data = getUserTags(userId)
+  return NextResponse.json({ success: true, data })
+}

app/api/rfm/group_summary/route.ts

@@ -0,0 +1,7 @@
+import { NextResponse } from "next/server"
+import { getGroupSummary } from "@/services/rfm-engine"
+
+export async function GET() {
+  const data = getGroupSummary()
+  return NextResponse.json({ success: true, data })
+}

app/api/rfm/score/route.ts

@@ -0,0 +1,12 @@
+import { NextResponse } from "next/server"
+import { computeRFM, type AnalyzeInput } from "@/services/rfm-engine"
+
+export async function POST(req: Request) {
+  try {
+    const body = (await req.json()) as AnalyzeInput
+    const score = computeRFM(body)
+    return NextResponse.json({ success: true, data: score })
+  } catch (e: any) {
+    return NextResponse.json({ success: false, error: e?.message || "Invalid input" }, { status: 400 })
+  }
+}

app/api/rfm/weights/route.ts

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+import { NextResponse } from "next/server"
+import { getWeights, setWeights } from "@/services/rfm-engine"
+
+export async function GET() {
+  return NextResponse.json({ success: true, data: getWeights() })
+}
+
+export async function POST(req: Request) {
+  try {
+    const body = await req.json()
+    let R = Number(body.R ?? 0.5)
+    let F = Number(body.F ?? 0.3)
+    let M = Number(body.M ?? 0.2)
+
+    // 归一化
+    const sum = Math.max(0.000001, R + F + M)
+    R = R / sum
+    F = F / sum
+    M = M / sum
+
+    setWeights({ R, F, M })
+    return NextResponse.json({ success: true, data: { R, F, M } })
+  } catch (e: any) {
+    return NextResponse.json({ success: false, error: e?.message || "Invalid input" }, { status: 400 })
+  }
+}