fix(i18n): cost-predict.ts hash key 清理 + 硬编码中文清零 + 错误 key 引用修复

- 23 个 predictutilsts.s* hash-style 键重命名为 costPredict.* 语义化键
- 7 处 buildCostInsightPrompt 硬编码中文模板字面量→i18n.t() 插值调用
- 修复 costRecommendation 函数引用错误 key (predictMemLeak→costPredict.rec*)
- 修复 dimension 字段引用 predictDiskFull→costPredict.allProviders
- 修复 providerLabel 引用 predictIn24h→costPredict.allProviders
- 新增 34 个语义化翻译键 (aiops.costPredict.*), zh/en 8102→8113 对齐
- tsc -b=0, npm build✓ (19.29s), ESLint=0/43/any=0, go build=0
- 17/17 集成测试通过

frontend/src/components/aiops/cost-predict.ts

@@ -83,20 +83,20 @@ function costTrendFromSlope(slope: number): 'up' | 'down' | 'stable' {
 /** 成本优化建议 */
 export function costRecommendation(trend: 'up' | 'down' | 'stable', ratio: number): string {
   if (trend === 'up' && ratio >= 0.85) {
-    return i18n.t('aiops.predictMemLeak');
+    return i18n.t('aiops.costPredict.recHighSpend');
   }
   if (trend === 'up') {
-    return i18n.t('aiops.predictMemLeak');
+    return i18n.t('aiops.costPredict.recRising');
   }
   if (trend === 'down') {
-    return i18n.t('aiops.predictMemLeak');
+    return i18n.t('aiops.costPredict.recDeclining');
   }
-  return i18n.t('aiops.predictutilsts.sa3b5c7d9');
+  return i18n.t('aiops.costPredict.recStable');
 }
 
 /** 预算风险建议 */
 function budgetRiskAction(metric: 'daily' | 'monthly', provider: string): string {
-  const scope = provider && provider !== i18n.t('aiops.predictutilsts.sg5a3d8e1') ? `${provider} ` : '';
+  const scope = provider && provider !== i18n.t('aiops.costPredict.allProviders') ? `${provider} ` : '';
   if (metric === 'daily') {
     return i18n.t('aiops.predictUtils.dailyCostHint', { scope });
   }
@@ -139,7 +139,7 @@ function topServicesByCost(records: JsonData[], limit = 5): { service: string; c
   records.forEach((r) => {
     const date = String(r.billing_date || '');
     if (date < start) return;
-    const svc = String(r.service || i18n.t('aiops.predictutilsts.sh7c2b9d6'));
+    const svc = String(r.service || i18n.t('aiops.costPredict.unknownService'));
     map.set(svc, (map.get(svc) || 0) + (Number(r.cost) || 0));
   });
   return [...map.entries()]
@@ -256,7 +256,7 @@ export function computeCostPredictions(input: ComputeCostPredictionsInput): Comp
   const allRatio =
     summary.predictedMonthEnd > 0 ? summary.monthCost / summary.predictedMonthEnd : 0;
   dimensionForecasts.push({
-    dimension: i18n.t('aiops.predictDiskFull'),
+    dimension: i18n.t('aiops.costPredict.allProviders'),
     currentMonth: summary.monthCost,
     predictedMonthEnd: summary.predictedMonthEnd,
     dailyAvg: summary.dailyAvg,
@@ -302,7 +302,7 @@ export function computeCostPredictions(input: ComputeCostPredictionsInput): Comp
 
     const metric = (rule.metric === 'daily' ? 'daily' : 'monthly') as 'daily' | 'monthly';
     const ruleProvider = String(rule.provider || '');
-    const providerLabel = ruleProvider ? PROVIDER_LABELS[ruleProvider] || ruleProvider : i18n.t('aiops.predictIn24h');
+    const providerLabel = ruleProvider ? PROVIDER_LABELS[ruleProvider] || ruleProvider : i18n.t('aiops.costPredict.allProviders');
 
     let current = 0;
     let predicted = 0;
@@ -339,17 +339,17 @@ export function computeCostPredictions(input: ComputeCostPredictionsInput): Comp
     if (current >= threshold) probability += 25;
     probability = Math.max(5, Math.min(92, probability));
 
-    let timeframe = metric === 'daily' ? i18n.t('aiops.predictNext24h') : i18n.t('aiops.predictutilsts.sd4e5f6g7');
+    let timeframe = metric === 'daily' ? i18n.t('aiops.predictNext24h') : i18n.t('aiops.costPredict.monthEnd');
     if (slope > 0.01 && threshold > current) {
       const days = (threshold - current) / slope;
-      if (days < 1) timeframe = metric === 'daily' ? i18n.t('aiops.predictutilsts.se5f6g7h8') : i18n.t('aiops.predictutilsts.sf6g7h8i9');
-      else if (days <= 7) timeframe = i18n.t('aiops.predictutilsts.sg7h8i9j0', { days: Math.ceil(days) });
-      else timeframe = i18n.t('aiops.predictutilsts.sh8i9j0k1', { days: Math.ceil(days) });
+      if (days < 1) timeframe = metric === 'daily' ? i18n.t('aiops.costPredict.withinToday') : i18n.t('aiops.costPredict.withinOneDay');
+      else if (days <= 7) timeframe = i18n.t('aiops.costPredict.withinDays', { days: Math.ceil(days) });
+      else timeframe = i18n.t('aiops.costPredict.approxAfterDays', { days: Math.ceil(days) });
     }
 
     if (probability >= 30 || current >= threshold * 0.7) {
       budgetRisks.push({
-        ruleName: String(rule.name || i18n.t('aiops.predictutilsts.si9j0k1l2')),
+        ruleName: String(rule.name || i18n.t('aiops.costPredict.budgetRule')),
         provider: providerLabel,
         metric,
         threshold,
@@ -386,49 +386,61 @@ export function buildCostInsightPrompt(data: ComputedCostPredictions): string {
 
   const patternHint =
     billingPattern === 'front_loaded'
-      ? i18n.t('aiops.predictutilsts.sj0k1l2m3')
+      ? i18n.t('aiops.costPredict.frontLoadedHint')
       : billingPattern === 'sparse'
-        ? i18n.t('aiops.predictutilsts.sk1l2m3n4')
-        : i18n.t('aiops.predictutilsts.sl2m3n4o5');
+        ? i18n.t('aiops.costPredict.sparseHint')
+        : i18n.t('aiops.costPredict.steadyHint');
 
   const dimLines = dimensionForecasts.slice(0, 6).map(
     (d) =>
-      `- ${d.dimension}：本月 ${d.currentMonth.toFixed(2)} 元 → 预测月末 ${d.predictedMonthEnd.toFixed(2)} 元（趋势 ${d.trend}）`,
+      i18n.t('aiops.costPredict.dimLine', {
+        dim: d.dimension,
+        current: d.currentMonth.toFixed(2),
+        predicted: d.predictedMonthEnd.toFixed(2),
+        trend: d.trend,
+      }),
   );
   const riskLines =
     budgetRisks.length > 0
       ? budgetRisks.slice(0, 5).map(
           (r) =>
-            `- ${r.ruleName}（${r.provider}）：当前 ${r.current} / 阈值 ${r.threshold}，预测 ${r.predicted}，触线概率 ${r.probability}%`,
+            i18n.t('aiops.costPredict.riskLine', {
+              rule: r.ruleName,
+              provider: r.provider,
+              current: r.current,
+              threshold: r.threshold,
+              predicted: r.predicted,
+              probability: r.probability,
+            }),
         )
-      : [`- ${i18n.t('aiops.predictutilsts.sm3n4o5p6')}`];
+      : [`- ${i18n.t('aiops.costPredict.noBudgetRisk')}`];
   const serviceLines =
     topServices.length > 0
-      ? topServices.map((s) => `- ${s.service}：${s.cost.toFixed(2)} 元`)
-      : [`- ${i18n.t('aiops.predictutilsts.sn4o5p6q7')}`];
+      ? topServices.map((s) => i18n.t('aiops.costPredict.serviceLine', { service: s.service, cost: s.cost.toFixed(2) }))
+      : [`- ${i18n.t('aiops.costPredict.noServiceDetail')}`];
 
   return [
-    i18n.t('aiops.predictutilsts.so5p6q7r8'),
+    i18n.t('aiops.costPredict.promptIntro'),
     '',
-    i18n.t('aiops.predictutilsts.sp6q7r8s9'),
-    `- 本月已花：${summary.monthCost.toFixed(2)} 元`,
-    `- 预测月末：${summary.predictedMonthEnd.toFixed(2)} 元（置信 ${summary.confidence}%）`,
-    `- 全月日均：${summary.dailyAvg.toFixed(2)} 元；近7日日均：${recentDailyAvg.toFixed(2)} 元；剩余 ${summary.daysRemaining} 天`,
-    `- 账单形态：${patternHint}`,
+    i18n.t('aiops.costPredict.sectionOverview'),
+    i18n.t('aiops.costPredict.monthSpent', { amount: summary.monthCost.toFixed(2) }),
+    i18n.t('aiops.costPredict.predictedEnd', { amount: summary.predictedMonthEnd.toFixed(2), confidence: summary.confidence }),
+    i18n.t('aiops.costPredict.dailySummary', { dailyAvg: summary.dailyAvg.toFixed(2), recentAvg: recentDailyAvg.toFixed(2), daysRemaining: summary.daysRemaining }),
+    i18n.t('aiops.costPredict.billingPatternLabel', { hint: patternHint }),
     '',
-    i18n.t('aiops.predictutilsts.sq7r8s9t0'),
+    i18n.t('aiops.costPredict.sectionTopServices'),
     ...serviceLines,
     '',
-    i18n.t('aiops.predictutilsts.sr8s9t0u1'),
+    i18n.t('aiops.costPredict.sectionDimensionForecast'),
     ...dimLines,
     '',
-    i18n.t('aiops.predictutilsts.ss9t0u1v2'),
+    i18n.t('aiops.costPredict.sectionBudgetRisk'),
     ...riskLines,
     '',
-    i18n.t('aiops.predictutilsts.st0u1v2w3'),
-    i18n.t('aiops.predictutilsts.su1v2w3x4'),
-    i18n.t('aiops.predictutilsts.sv2w3x4y5'),
-    i18n.t('aiops.predictutilsts.sw3x4y5z6'),
-    i18n.t('aiops.predictutilsts.sx4y5z6a7'),
+    i18n.t('aiops.costPredict.promptRequirements'),
+    i18n.t('aiops.costPredict.promptReq1'),
+    i18n.t('aiops.costPredict.promptReq2'),
+    i18n.t('aiops.costPredict.promptReq3'),
+    i18n.t('aiops.costPredict.promptReq4'),
   ].join('\n');
 }