feat: 智能排班人员预测系统

- 新增人员预测tab，基于多维度产能指标生成招聘/优化建议
- 规则引擎：7条优化规则 + 7条招聘规则 + 4步决策逻辑
- 动态标准值：基于全部门店中位数计算，替代硬编码阈值
- 互斥逻辑：有优化信号时抑制所有招聘信号
- 占比超配时不触发招聘信号（R9/R11/R12/R13）
- 离职缺口需出勤不足才触发招聘（R10）
- 管理岗满编时不触发出勤不足招聘（R9）
- 前端可折叠规则引擎面板，展示全部规则和触发条件
- 产能指标对比展示实际值 vs 中位数标准

server/src/index.ts

@@ -8,6 +8,7 @@ import dataRoutes from './routes/data.js'
 import taskRoutes from './routes/tasks.js'
 import costAnalysisRoutes from './routes/cost-analysis.js'
 import storeExpenseRoutes from './routes/store-expense.js'
+import smartSchedulingRoutes from './routes/smart-scheduling.js'
 
 const app = express()
 const PORT = parseInt(process.env.PORT || '3333')
@@ -35,6 +36,7 @@ app.use('/api', dataRoutes)
 app.use('/api/tasks', taskRoutes)
 app.use('/api/cost-analysis', costAnalysisRoutes)
 app.use('/api/store-expense', storeExpenseRoutes)
+app.use('/api/smart-scheduling', smartSchedulingRoutes)
 
 app.use(notFoundHandler)
 app.use(errorHandler)

server/src/lib/ai.ts

@@ -0,0 +1,64 @@
+const AI_API_KEY = process.env.ZHIPU_API_KEY || process.env.DASHSCOPE_API_KEY || ''
+const AI_API_URL = 'https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions'
+
+interface AIMessage {
+  role: 'system' | 'user' | 'assistant'
+  content: string
+}
+
+export async function callAI(messages: AIMessage[], temperature = 0.3): Promise<string> {
+  const resp = await fetch(AI_API_URL, {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      'Authorization': `Bearer ${AI_API_KEY}`,
+    },
+    body: JSON.stringify({
+      model: 'qwen-plus',
+      messages,
+      temperature,
+      max_tokens: 4096,
+    }),
+  })
+
+  if (!resp.ok) {
+    const errText = await resp.text()
+    throw new Error(`AI API error ${resp.status}: ${errText}`)
+  }
+
+  const data = await resp.json()
+  return data.choices?.[0]?.message?.content || ''
+}
+
+export async function callAIJSON(messages: AIMessage[], temperature = 0.3): Promise<any> {
+  const raw = await callAI(messages, temperature)
+  console.log('[AI] raw response length:', raw.length)
+  // 提取JSON块（兼容```json包裹）
+  let jsonStr = raw.trim()
+  const codeBlockMatch = raw.match(/```(?:json)?\s*([\s\S]*?)```/)
+  if (codeBlockMatch) {
+    jsonStr = codeBlockMatch[1].trim()
+  } else {
+    // 找第一个[或{到最后一个]或}
+    const firstBracket = raw.search(/[[{]/)
+    if (firstBracket >= 0) {
+      const lastBracket = Math.max(raw.lastIndexOf(']'), raw.lastIndexOf('}'))
+      if (lastBracket > firstBracket) {
+        jsonStr = raw.substring(firstBracket, lastBracket + 1).trim()
+      }
+    }
+  }
+  try {
+    return JSON.parse(jsonStr)
+  } catch (e) {
+    // AI可能返回多个独立JSON对象（非数组格式），尝试包装成数组
+    try {
+      // 将相邻的}{替换为},{
+      const arrayStr = '[' + jsonStr.replace(/\}\s*\{/g, '},{') + ']'
+      return JSON.parse(arrayStr)
+    } catch (e2) {
+      console.error('[AI] JSON parse failed. Raw (500 chars):', raw.substring(0, 500))
+      throw e2
+    }
+  }
+}