fix(backtest): 结果页4个显示bug—成交枚举/时间/浮点精度/日志空

1. 交易详情方向/开平显原始枚举: Direction.LONG/Offset.OPEN → 买/卖、开仓/平仓/平今/平昨
   (TradesTable 加 fmtDir/fmtOff, 方向带涨跌色)
2. 交易详情时间 2024-06-25T00:00:00+08:00 → 2024-06-25 (日内带时分则保留)
3. 每日收益浮点精度 0.6533000000054017 → 0.65 (toFixed2, 涨跌色), 日期去 00:00:00
4. 日志tab硬编码"暂无日志数据": 前端接 getLog(/task/:id/log) + 后端 cta_engine 加
   stdout tee 把引擎 load/run/stats 输出落盘到 {task_id}.log (worker 进程内隔离)
   → 新回测日志 tab 显示真实引擎输出(2117字)

验证: 交易 买/开仓/2024-06-25, 收益 0.15, 日志 2117字真实内容

frontend/src/components/TradesTable.vue

@@ -2,15 +2,62 @@
 import type { Trade } from '@/api/backtest'
 
 defineProps<{ trades: Trade[] }>()
+
+// vnpy 枚举 repr → 中文（兼容已是中文的情况）
+function fmtDir(d: string): string {
+  if (!d) return ''
+  const s = String(d)
+  if (s.includes('LONG') || s === '多') return '买'
+  if (s.includes('SHORT') || s === '空') return '卖'
+  if (s.includes('NET')) return '净'
+  return s
+}
+function fmtOff(o: string): string {
+  if (!o) return ''
+  const s = String(o)
+  if (s.includes('CLOSETODAY')) return '平今'
+  if (s.includes('CLOSEFIRST')) return '平昨'
+  if (s.includes('CLOSE')) return '平仓'
+  if (s.includes('OPEN')) return '开仓'
+  return s
+}
+// 2024-06-25T00:00:00+08:00 → 2024-06-25（日内带时分则保留）
+function fmtDate(dt: string): string {
+  if (!dt) return ''
+  const s = String(dt).slice(0, 19).replace('T', ' ')
+  return s.endsWith(' 00:00:00') ? s.slice(0, 10) : s
+}
+function dirClass(d: string): string {
+  const v = fmtDir(d)
+  return v === '买' ? 'up' : v === '卖' ? 'down' : ''
+}
 </script>
 
 <template>
   <el-table :data="trades" stripe size="small" empty-text="无成交">
-    <el-table-column prop="datetime" label="时间" width="220" />
-    <el-table-column prop="direction" label="方向" width="80" />
-    <el-table-column prop="offset" label="开平" width="80" />
-    <el-table-column prop="price" label="价格" width="100" />
-    <el-table-column prop="volume" label="数量" width="100" />
-    <el-table-column prop="vt_symbol" label="标的" />
+    <el-table-column label="时间" width="150">
+      <template #default="{ row }"><span class="mono">{{ fmtDate(row.datetime) }}</span></template>
+    </el-table-column>
+    <el-table-column label="方向" width="70">
+      <template #default="{ row }"><span :class="dirClass(row.direction)">{{ fmtDir(row.direction) }}</span></template>
+    </el-table-column>
+    <el-table-column label="开平" width="70">
+      <template #default="{ row }">{{ fmtOff(row.offset) }}</template>
+    </el-table-column>
+    <el-table-column label="价格" width="100" align="right">
+      <template #default="{ row }"><span class="mono">{{ row.price }}</span></template>
+    </el-table-column>
+    <el-table-column label="数量" width="90" align="right">
+      <template #default="{ row }"><span class="mono">{{ row.volume }}</span></template>
+    </el-table-column>
+    <el-table-column label="标的" min-width="100">
+      <template #default="{ row }"><span class="mono">{{ row.vt_symbol }}</span></template>
+    </el-table-column>
   </el-table>
 </template>
+
+<style scoped>
+:deep(.mono) { font-family: var(--mono); font-size: 12px; color: var(--text); }
+.up { color: var(--up); }
+.down { color: var(--down); }
+</style>

frontend/src/views/backtest/Result.vue

@@ -3,7 +3,7 @@ import { ref, computed, onMounted } from 'vue'
 import { useRoute } from 'vue-router'
 import {
   getResult, getEquityCurve, getDailyPnl, getTrades, getKline,
-  getRelativeMetrics, getBenchmarkCurve, getRiskSeries,
+  getRelativeMetrics, getBenchmarkCurve, getRiskSeries, getLog,
   type EquityPoint, type PnlPoint, type Trade, type KlineBar,
   type RelativeMetrics, type BenchmarkCurveData, type RiskSeriesData,
 } from '@/api/backtest'
@@ -42,6 +42,7 @@ const equity = ref<EquityPoint[]>([])
 const pnl = ref<PnlPoint[]>([])
 const trades = ref<Trade[]>([])
 const kline = ref<KlineBar[]>([])
+const logText = ref('')
 
 // statEntries is no longer used in the new layout but kept for potential future use
 // const statEntries = computed(() =>
@@ -135,10 +136,32 @@ onMounted(async () => {
         kline.value = []
       }
     }
+    try {
+      logText.value = await getLog(taskId)
+    } catch {
+      logText.value = ''
+    }
   } finally {
     loading.value = false
   }
 })
+
+// 每日收益格式化：浮点精度 → 2 位；日期去 00:00:00
+function fmtPnl(v: number | string): string {
+  const n = typeof v === 'number' ? v : parseFloat(v)
+  if (!Number.isFinite(n)) return String(v)
+  return n.toFixed(2)
+}
+function fmtPnlClass(v: number | string): string {
+  const n = typeof v === 'number' ? v : parseFloat(v)
+  if (!Number.isFinite(n) || n === 0) return ''
+  return n > 0 ? 'up' : 'down'
+}
+function fmtDate(d: string): string {
+  if (!d) return ''
+  const s = String(d).slice(0, 19).replace('T', ' ')
+  return s.endsWith(' 00:00:00') ? s.slice(0, 10) : s
+}
 </script>
 
 <template>
@@ -219,8 +242,12 @@ onMounted(async () => {
           <template #header><span class="section-title">每日收益</span></template>
           <div class="daily-pnl-section">
             <el-table :data="pnl" stripe size="small" empty-text="无数据">
-              <el-table-column prop="date" label="日期" width="120" />
-              <el-table-column prop="pnl" label="收益" width="120" />
+              <el-table-column label="日期" width="140">
+                <template #default="{ row }"><span class="mono">{{ fmtDate(row.date) }}</span></template>
+              </el-table-column>
+              <el-table-column label="收益" width="120" align="right">
+                <template #default="{ row }"><span class="mono" :class="fmtPnlClass(row.pnl)">{{ fmtPnl(row.pnl) }}</span></template>
+              </el-table-column>
             </el-table>
           </div>
         </el-card>
@@ -230,7 +257,7 @@ onMounted(async () => {
       <el-tab-pane label="日志输出">
         <el-card>
           <template #header><span class="section-title">系统日志</span></template>
-          <pre class="log-output">暂无日志数据</pre>
+          <pre class="log-output">{{ logText || '暂无日志数据' }}</pre>
         </el-card>
       </el-tab-pane>
     </el-tabs>

sanguo_backtest/cta_engine.py

@@ -20,6 +20,24 @@ from sanguo_data.datareader import read_index_daily
 from sanguo_backtest.metrics import compute_metrics, BENCHMARK_SYMBOL
 
 
+class _Tee:
+    """同时写多个流（用于把引擎 stdout 落盘到 per-task 日志）。"""
+
+    def __init__(self, *streams):
+        self.streams = streams
+
+    def write(self, data):
+        for s in self.streams:
+            s.write(data)
+
+    def flush(self):
+        for s in self.streams:
+            try:
+                s.flush()
+            except Exception:
+                pass
+
+
 # Mock Exchange enum for local use (replaces vnpy.trader.constant.Exchange)
 class MockExchange:
     SSE = "SSE"  # Shanghai Stock Exchange
@@ -115,16 +133,34 @@ def run_cta_backtest(strategy_class, symbol: str, params: dict, start: str, end:
         except Exception:
             pass
 
-        # Load historical data
-        engine.load_data()
+        # Capture engine run output (load/run/stats) to per-task log file, so the
+        # result page 日志 tab has real content. Tee stdout inside the worker process
+        # (contained — doesn't affect the main API process).
+        file_dir = os.path.dirname(os.path.abspath(db_path))
+        log_path = os.path.join(file_dir, f"{task_id}.log")
+        _log_f = open(log_path, "w", encoding="utf-8")
+        _log_f.write(
+            f"==== 回测日志 ====\n任务: {task_id}\n策略: {getattr(strategy_class, '__name__', strategy_class)}\n"
+            f"标的: {vt_symbol}\n区间: {start} ~ {end}\n参数: {params}\n基准: {benchmark}\n==================\n"
+        )
+        _log_f.flush()
+        _orig_stdout = sys.stdout
+        sys.stdout = _Tee(_orig_stdout, _log_f)
+        try:
+            # Load historical data
+            engine.load_data()
 
-        # Run backtesting
-        engine.run_backtesting()
+            # Run backtesting
+            engine.run_backtesting()
 
-        # Calculate statistics — calculate_result() returns a daily DataFrame,
-        # calculate_statistics(df) returns the stats dict (sharpe/drawdown/etc.)
-        daily_df = engine.calculate_result()
-        raw_stats = engine.calculate_statistics(daily_df, output=False) or {}
+            # Calculate statistics — calculate_result() returns a daily DataFrame,
+            # calculate_statistics(df) returns the stats dict (sharpe/drawdown/etc.)
+            daily_df = engine.calculate_result()
+            raw_stats = engine.calculate_statistics(daily_df, output=False) or {}
+        finally:
+            sys.stdout = _orig_stdout
+            _log_f.flush()
+            _log_f.close()
         # Ensure JSON-serializable (vnpy may include Timestamp / non-numeric / NaN values)
         statistics = {
             k: (None if (isinstance(v, float) and not math.isfinite(v))