feat(reject-history): fix Pareto datasources, multi-select filtering, and UX enhancements

- Fix dimension Pareto datasources: PJ_TYPE/PRODUCTLINENAME from DW_MES_CONTAINER,
  WORKFLOWNAME from DW_MES_LOTWIPHISTORY via WIPTRACKINGGROUPKEYID, EQUIPMENTNAME
  from LOTREJECTHISTORY only (no WIP fallback), workcenter dimension uses WORKCENTER_GROUP
- Add multi-select Pareto click filtering with chip display and detail list integration
- Add TOP 20 display scope selector for TYPE/WORKFLOW/機台 dimensions
- Pass Pareto selection (dimension + values) through to list/export endpoints
- Enable TRACE_WORKER_ENABLED=true by default in start_server.sh and .env.example
- Archive reject-history-pareto-datasource-fix and reject-history-pareto-ux-enhancements
- Update reject-history-api and reject-history-page specs with new Pareto behaviors

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

.env.example

@@ -197,7 +197,7 @@ EVENT_FETCHER_CACHE_SKIP_CID_THRESHOLD=10000
 # --- Async Job Queue (提案 2: trace-async-job-queue) ---
 # Enable RQ trace worker for async large query processing
 # Set to true and start the worker: rq worker trace-events
-TRACE_WORKER_ENABLED=false
+TRACE_WORKER_ENABLED=true
 
 # CID threshold for automatic async job routing (requires RQ worker).
 # Requests with CID count > threshold are queued instead of processed synchronously.

frontend/src/core/reject-history-filters.js

@@ -173,6 +173,8 @@ export function buildViewParams(queryId, {
   metricFilter = 'all',
   trendDates = [],
   detailReason = '',
+  paretoDimension = '',
+  paretoValues = [],
   page = 1,
   perPage = 50,
   policyFilters = {},
@@ -196,6 +198,14 @@ export function buildViewParams(queryId, {
   if (detailReason) {
     params.detail_reason = detailReason;
   }
+  const normalizedParetoDimension = normalizeText(paretoDimension).toLowerCase();
+  const normalizedParetoValues = normalizeArray(paretoValues);
+  if (normalizedParetoDimension) {
+    params.pareto_dimension = normalizedParetoDimension;
+  }
+  if (normalizedParetoValues.length > 0) {
+    params.pareto_values = normalizedParetoValues;
+  }
   params.page = page || 1;
   params.per_page = perPage || 50;
 

frontend/src/reject-history/App.vue

@@ -5,7 +5,6 @@ import { apiGet, apiPost } from '../core/api.js';
 import {
   buildViewParams,
   parseMultiLineInput,
-  toRejectFilterSnapshot,
 } from '../core/reject-history-filters.js';
 import { replaceRuntimeHistory } from '../core/shell-navigation.js';
 
@@ -17,6 +16,15 @@ import TrendChart from './components/TrendChart.vue';
 
 const API_TIMEOUT = 360000;
 const DEFAULT_PER_PAGE = 50;
+const PARETO_TOP20_DIMENSIONS = new Set(['type', 'workflow', 'equipment']);
+const PARETO_DIMENSION_LABELS = {
+  reason: '不良原因',
+  package: 'PACKAGE',
+  type: 'TYPE',
+  workflow: 'WORKFLOW',
+  workcenter: '站點',
+  equipment: '機台',
+};
 
 // ---- Primary query form state ----
 const queryMode = ref('date_range');
@@ -59,10 +67,11 @@ const supplementaryFilters = reactive({
 
 // ---- Interactive state ----
 const page = ref(1);
-const detailReason = ref('');
 const selectedTrendDates = ref([]);
 const trendLegendSelected = ref({ '扣帳報廢量': true, '不扣帳報廢量': true });
 const paretoDimension = ref('reason');
+const selectedParetoValues = ref([]);
+const paretoDisplayScope = ref('all');
 const dimensionParetoItems = ref([]);
 const dimensionParetoLoading = ref(false);
 
@@ -198,8 +207,9 @@ async function executePrimaryQuery() {
     supplementaryFilters.workcenterGroups = [];
     supplementaryFilters.reason = '';
     page.value = 1;
-    detailReason.value = '';
     selectedTrendDates.value = [];
+    selectedParetoValues.value = [];
+    paretoDisplayScope.value = 'all';
     paretoDimension.value = 'reason';
     dimensionParetoItems.value = [];
 
@@ -239,7 +249,8 @@ async function refreshView() {
       supplementaryFilters,
       metricFilter: metricFilterParam(),
       trendDates: selectedTrendDates.value,
-      detailReason: detailReason.value,
+      paretoDimension: paretoDimension.value,
+      paretoValues: selectedParetoValues.value,
       page: page.value,
       perPage: DEFAULT_PER_PAGE,
       policyFilters: {
@@ -330,10 +341,18 @@ function onTrendLegendChange(selected) {
   refreshDimensionParetoIfActive();
 }
 
-function onParetoClick(reason) {
+function onParetoItemToggle(itemValue) {
-  if (!reason) return;
+  const normalized = String(itemValue || '').trim();
-  detailReason.value = detailReason.value === reason ? '' : reason;
+  if (!normalized) return;
+  if (selectedParetoValues.value.includes(normalized)) {
+    selectedParetoValues.value = selectedParetoValues.value.filter(
+      (item) => item !== normalized,
+    );
+  } else {
+    selectedParetoValues.value = [...selectedParetoValues.value, normalized];
+  }
   page.value = 1;
+  updateUrlState();
   void refreshView();
 }
 
@@ -341,6 +360,7 @@ function handleParetoScopeToggle(checked) {
   draftFilters.paretoTop80 = Boolean(checked);
   committedPrimary.paretoTop80 = Boolean(checked);
   updateUrlState();
+  refreshDimensionParetoIfActive();
 }
 
 let activeDimRequestId = 0;
@@ -391,20 +411,37 @@ function refreshDimensionParetoIfActive() {
 
 function onDimensionChange(dim) {
   paretoDimension.value = dim;
+  selectedParetoValues.value = [];
+  paretoDisplayScope.value = 'all';
+  page.value = 1;
   if (dim === 'reason') {
     dimensionParetoItems.value = [];
+    void refreshView();
   } else {
     void fetchDimensionPareto(dim);
+    void refreshView();
   }
 }
 
+function onParetoDisplayScopeChange(scope) {
+  paretoDisplayScope.value = scope === 'top20' ? 'top20' : 'all';
+  updateUrlState();
+}
+
+function clearParetoSelection() {
+  selectedParetoValues.value = [];
+  page.value = 1;
+  updateUrlState();
+  void refreshView();
+}
+
 function onSupplementaryChange(filters) {
   supplementaryFilters.packages = filters.packages || [];
   supplementaryFilters.workcenterGroups = filters.workcenterGroups || [];
   supplementaryFilters.reason = filters.reason || '';
   page.value = 1;
-  detailReason.value = '';
   selectedTrendDates.value = [];
+  selectedParetoValues.value = [];
   void refreshView();
   refreshDimensionParetoIfActive();
 }
@@ -412,9 +449,12 @@ function onSupplementaryChange(filters) {
 function removeFilterChip(chip) {
   if (!chip?.removable) return;
 
-  if (chip.type === 'detail-reason') {
+  if (chip.type === 'pareto-value') {
-    detailReason.value = '';
+    selectedParetoValues.value = selectedParetoValues.value.filter(
+      (value) => value !== chip.value,
+    );
     page.value = 1;
+    updateUrlState();
     void refreshView();
     return;
   }
@@ -471,7 +511,8 @@ async function exportCsv() {
     if (supplementaryFilters.reason) params.set('reason', supplementaryFilters.reason);
     params.set('metric_filter', metricFilterParam());
     for (const date of selectedTrendDates.value) params.append('trend_dates', date);
-    if (detailReason.value) params.set('detail_reason', detailReason.value);
+    params.set('pareto_dimension', paretoDimension.value);
+    for (const value of selectedParetoValues.value) params.append('pareto_values', value);
 
     // Policy filters (applied in-memory on cached data)
     if (committedPrimary.includeExcludedScrap) params.set('include_excluded_scrap', 'true');
@@ -642,10 +683,24 @@ const filteredParetoItems = computed(() => {
 });
 
 const activeParetoItems = computed(() => {
-  if (paretoDimension.value !== 'reason') return dimensionParetoItems.value;
+  const baseItems =
-  return filteredParetoItems.value;
+    paretoDimension.value === 'reason'
+      ? filteredParetoItems.value
+      : (dimensionParetoItems.value || []);
+
+  if (
+    PARETO_TOP20_DIMENSIONS.has(paretoDimension.value)
+    && paretoDisplayScope.value === 'top20'
+  ) {
+    return baseItems.slice(0, 20);
+  }
+  return baseItems;
 });
 
+const selectedParetoDimensionLabel = computed(
+  () => PARETO_DIMENSION_LABELS[paretoDimension.value] || 'Pareto',
+);
+
 const activeFilterChips = computed(() => {
   const chips = [];
 
@@ -742,15 +797,15 @@ const activeFilterChips = computed(() => {
     });
   }
 
-  if (detailReason.value) {
+  selectedParetoValues.value.forEach((value) => {
     chips.push({
-      key: `detail-reason:${detailReason.value}`,
+      key: `pareto-value:${paretoDimension.value}:${value}`,
-      label: `明細原因: ${detailReason.value}`,
+      label: `${selectedParetoDimensionLabel.value}: ${value}`,
       removable: true,
-      type: 'detail-reason',
+      type: 'pareto-value',
-      value: detailReason.value,
+      value,
     });
-  }
+  });
 
   return chips;
 });
@@ -809,9 +864,9 @@ function updateUrlState() {
 
   // Interactive
   appendArrayParams(params, 'trend_dates', selectedTrendDates.value);
-  if (detailReason.value) {
+  params.set('pareto_dimension', paretoDimension.value);
-    params.set('detail_reason', detailReason.value);
+  appendArrayParams(params, 'pareto_values', selectedParetoValues.value);
-  }
+  if (paretoDisplayScope.value !== 'all') params.set('pareto_display_scope', paretoDisplayScope.value);
   if (!committedPrimary.paretoTop80) {
     params.set('pareto_scope_all', 'true');
   }
@@ -886,15 +941,26 @@ function restoreFromUrl() {
 
   // Interactive
   const urlTrendDates = readArrayParam(params, 'trend_dates');
-  const urlDetailReason = String(params.get('detail_reason') || '').trim();
+  const rawParetoDimension = String(params.get('pareto_dimension') || '').trim().toLowerCase();
+  const urlParetoDimension = Object.hasOwn(PARETO_DIMENSION_LABELS, rawParetoDimension)
+    ? rawParetoDimension
+    : 'reason';
+  const urlParetoValues = readArrayParam(params, 'pareto_values');
+  const urlParetoDisplayScope = String(params.get('pareto_display_scope') || '').trim().toLowerCase();
   const parsedPage = Number(params.get('page') || '1');
 
+  paretoDimension.value = urlParetoDimension;
+  selectedParetoValues.value = urlParetoValues;
+  paretoDisplayScope.value = urlParetoDisplayScope === 'top20' ? 'top20' : 'all';
+
   return {
     packages: urlPackages,
     workcenterGroups: urlWcGroups,
     reason: urlReason,
     trendDates: urlTrendDates,
-    detailReason: urlDetailReason,
+    paretoDimension: urlParetoDimension,
+    paretoValues: urlParetoValues,
+    paretoDisplayScope: paretoDisplayScope.value,
     page: Number.isFinite(parsedPage) && parsedPage > 0 ? parsedPage : 1,
   };
 }
@@ -962,23 +1028,26 @@ onMounted(() => {
 
       <ParetoSection
         :items="activeParetoItems"
-        :detail-reason="detailReason"
+        :selected-values="selectedParetoValues"
+        :display-scope="paretoDisplayScope"
         :selected-dates="selectedTrendDates"
         :metric-label="paretoMetricLabel"
         :loading="loading.querying || dimensionParetoLoading"
         :dimension="paretoDimension"
         :show-dimension-selector="committedPrimary.mode === 'date_range'"
-        @reason-click="onParetoClick"
+        @item-toggle="onParetoItemToggle"
         @dimension-change="onDimensionChange"
+        @display-scope-change="onParetoDisplayScopeChange"
       />
 
       <DetailTable
         :items="detail.items"
         :pagination="pagination"
         :loading="loading.list"
-        :detail-reason="detailReason"
+        :selected-pareto-values="selectedParetoValues"
+        :selected-pareto-dimension-label="selectedParetoDimensionLabel"
         @go-to-page="goToPage"
-        @clear-reason="onParetoClick(detailReason)"
+        @clear-pareto-selection="clearParetoSelection"
       />
     </template>
   </div>

frontend/src/reject-history/components/DetailTable.vue

@@ -1,17 +1,18 @@
 <script setup>
 import { ref } from 'vue';
 
-defineProps({
+defineProps({
   items: { type: Array, default: () => [] },
   pagination: {
     type: Object,
     default: () => ({ page: 1, perPage: 50, total: 0, totalPages: 1 }),
-  },
+  },
-  loading: { type: Boolean, default: false },
+  loading: { type: Boolean, default: false },
-  detailReason: { type: String, default: '' },
+  selectedParetoValues: { type: Array, default: () => [] },
-});
+  selectedParetoDimensionLabel: { type: String, default: '' },
-
+});
-defineEmits(['go-to-page', 'clear-reason']);
+
+defineEmits(['go-to-page', 'clear-pareto-selection']);
 
 const showRejectBreakdown = ref(false);
 
@@ -22,15 +23,20 @@ function formatNumber(value) {
 
 <template>
   <section class="card">
-    <div class="card-header">
+    <div class="card-header">
-      <div class="card-title">
+      <div class="card-title">
-        明細列表
+        明細列表
-        <span v-if="detailReason" class="detail-reason-badge">
+        <span v-if="selectedParetoValues.length > 0" class="detail-reason-badge">
-          原因: {{ detailReason }}
+          {{ selectedParetoDimensionLabel || 'Pareto 篩選' }}:
-          <button type="button" class="badge-clear" @click="$emit('clear-reason')">×</button>
+          {{
-        </span>
+            selectedParetoValues.length === 1
-      </div>
+              ? selectedParetoValues[0]
-    </div>
+              : `${selectedParetoValues.length} 項`
+          }}
+          <button type="button" class="badge-clear" @click="$emit('clear-pareto-selection')">×</button>
+        </span>
+      </div>
+    </div>
     <div class="card-body detail-table-wrap" :class="{ 'is-loading': loading }">
       <div v-if="loading" class="table-loading-overlay"><span class="table-spinner"></span></div>
       <table class="detail-table">

frontend/src/reject-history/components/FilterPanel.vue

@@ -122,20 +122,12 @@ function emitSupplementary(patch) {
             <input v-model="filters.excludeMaterialScrap" type="checkbox" />
             排除原物料報廢
           </label>
-          <label class="checkbox-pill">
+          <label class="checkbox-pill">
-            <input v-model="filters.excludePbDiode" type="checkbox" />
+            <input v-model="filters.excludePbDiode" type="checkbox" />
-            排除 PB_* 系列
+            排除 PB_* 系列
-          </label>
+          </label>
-          <label class="checkbox-pill">
+        </div>
-            <input
+        <div class="filter-actions">
-              :checked="filters.paretoTop80"
-              type="checkbox"
-              @change="$emit('pareto-scope-toggle', $event.target.checked)"
-            />
-            Pareto 僅顯示累計前 80%
-          </label>
-        </div>
-        <div class="filter-actions">
           <button
             class="btn btn-primary"
             :disabled="loading.querying"
@@ -187,11 +179,21 @@ function emitSupplementary(patch) {
       </template>
     </div>
 
-    <!-- Supplementary filters (only after primary query) -->
+    <!-- Supplementary filters (only after primary query) -->
-    <div v-if="queryId" class="supplementary-panel">
+    <div v-if="queryId" class="supplementary-panel">
-      <div class="supplementary-header">補充篩選 (快取內篩選)</div>
+      <div class="supplementary-header">補充篩選 (快取內篩選)</div>
-      <div class="supplementary-row">
+      <div class="supplementary-toolbar">
-        <div class="filter-group">
+        <label class="checkbox-pill">
+          <input
+            :checked="filters.paretoTop80"
+            type="checkbox"
+            @change="$emit('pareto-scope-toggle', $event.target.checked)"
+          />
+          Pareto 僅顯示累計前 80%
+        </label>
+      </div>
+      <div class="supplementary-row">
+        <div class="filter-group">
           <label class="filter-label">WORKCENTER GROUP</label>
           <MultiSelect
             :model-value="supplementaryFilters.workcenterGroups"

frontend/src/reject-history/components/ParetoSection.vue

@@ -1,5 +1,5 @@
-<script setup>
+<script setup>
-import { computed } from 'vue';
+import { computed } from 'vue';
 
 import { BarChart, LineChart } from 'echarts/charts';
 import { GridComponent, LegendComponent, TooltipComponent } from 'echarts/components';
@@ -9,33 +9,43 @@ import VChart from 'vue-echarts';
 
 use([CanvasRenderer, BarChart, LineChart, GridComponent, TooltipComponent, LegendComponent]);
 
-const DIMENSION_OPTIONS = [
+const DIMENSION_OPTIONS = [
-  { value: 'reason', label: '不良原因' },
+  { value: 'reason', label: '不良原因' },
-  { value: 'package', label: 'PACKAGE' },
+  { value: 'package', label: 'PACKAGE' },
-  { value: 'type', label: 'TYPE' },
+  { value: 'type', label: 'TYPE' },
-  { value: 'workflow', label: 'WORKFLOW' },
+  { value: 'workflow', label: 'WORKFLOW' },
-  { value: 'workcenter', label: '站點' },
+  { value: 'workcenter', label: '站點' },
-  { value: 'equipment', label: '機台' },
+  { value: 'equipment', label: '機台' },
-];
+];
-
+const DISPLAY_SCOPE_TOP20_DIMENSIONS = new Set(['type', 'workflow', 'equipment']);
-const props = defineProps({
+
-  items: { type: Array, default: () => [] },
+const props = defineProps({
-  detailReason: { type: String, default: '' },
+  items: { type: Array, default: () => [] },
-  selectedDates: { type: Array, default: () => [] },
+  selectedValues: { type: Array, default: () => [] },
-  metricLabel: { type: String, default: '報廢量' },
+  selectedDates: { type: Array, default: () => [] },
-  loading: { type: Boolean, default: false },
+  metricLabel: { type: String, default: '報廢量' },
-  dimension: { type: String, default: 'reason' },
+  loading: { type: Boolean, default: false },
-  showDimensionSelector: { type: Boolean, default: false },
+  dimension: { type: String, default: 'reason' },
-});
+  showDimensionSelector: { type: Boolean, default: false },
-
+  displayScope: { type: String, default: 'all' },
-const emit = defineEmits(['reason-click', 'dimension-change']);
+});
-
+
-const hasData = computed(() => Array.isArray(props.items) && props.items.length > 0);
+const emit = defineEmits(['item-toggle', 'dimension-change', 'display-scope-change']);
-
+
-const dimensionLabel = computed(() => {
+const hasData = computed(() => Array.isArray(props.items) && props.items.length > 0);
-  const opt = DIMENSION_OPTIONS.find((o) => o.value === props.dimension);
+const selectedValueSet = computed(() => new Set((props.selectedValues || []).map((item) => String(item || '').trim())));
-  return opt ? opt.label : '報廢原因';
+const showDisplayScopeSelector = computed(
-});
+  () => DISPLAY_SCOPE_TOP20_DIMENSIONS.has(props.dimension),
+);
+
+const dimensionLabel = computed(() => {
+  const opt = DIMENSION_OPTIONS.find((o) => o.value === props.dimension);
+  return opt ? opt.label : '報廢原因';
+});
+
+function isSelected(value) {
+  return selectedValueSet.value.has(String(value || '').trim());
+}
 
 function formatNumber(value) {
   return Number(value || 0).toLocaleString('zh-TW');
@@ -100,16 +110,16 @@ const chartOption = computed(() => {
       {
         name: props.metricLabel,
         type: 'bar',
-        data: items.map((item) => Number(item.metric_value || 0)),
+        data: items.map((item) => Number(item.metric_value || 0)),
-        barMaxWidth: 34,
+        barMaxWidth: 34,
-        itemStyle: {
+        itemStyle: {
-          color(params) {
+          color(params) {
-            const reason = items[params.dataIndex]?.reason || '';
+            const reason = items[params.dataIndex]?.reason || '';
-            return reason === props.detailReason ? '#b91c1c' : '#2563eb';
+            return isSelected(reason) ? '#b91c1c' : '#2563eb';
-          },
+          },
-          borderRadius: [4, 4, 0, 0],
+          borderRadius: [4, 4, 0, 0],
-        },
+        },
-      },
+      },
       {
         name: '累積%',
         type: 'line',
@@ -123,36 +133,47 @@ const chartOption = computed(() => {
   };
 });
 
-function handleChartClick(params) {
+function handleChartClick(params) {
-  if (params?.seriesType !== 'bar' || props.dimension !== 'reason') {
+  if (params?.seriesType !== 'bar') {
-    return;
+    return;
-  }
+  }
-  const reason = props.items?.[params.dataIndex]?.reason;
+  const itemValue = props.items?.[params.dataIndex]?.reason;
-  if (reason) {
+  if (itemValue) {
-    emit('reason-click', reason);
+    emit('item-toggle', itemValue);
-  }
+  }
-}
+}
-</script>
+</script>
-
+
-<template>
+<template>
   <section class="card">
     <div class="card-header pareto-header">
       <div class="card-title">
         {{ metricLabel }} vs {{ dimensionLabel }}（Pareto）
         <span v-for="d in selectedDates" :key="d" class="pareto-date-badge">{{ d }}</span>
       </div>
-      <select
+      <div class="pareto-controls">
-        v-if="showDimensionSelector"
+        <select
-        class="dimension-select"
+          v-if="showDimensionSelector"
-        :value="dimension"
+          class="dimension-select"
-        @change="emit('dimension-change', $event.target.value)"
+          :value="dimension"
-      >
+          @change="emit('dimension-change', $event.target.value)"
-        <option v-for="opt in DIMENSION_OPTIONS" :key="opt.value" :value="opt.value">{{ opt.label }}</option>
+        >
-      </select>
+          <option v-for="opt in DIMENSION_OPTIONS" :key="opt.value" :value="opt.value">{{ opt.label }}</option>
-    </div>
+        </select>
-    <div class="card-body pareto-layout">
+        <select
-      <div class="pareto-chart-wrap">
+          v-if="showDisplayScopeSelector"
-        <VChart :option="chartOption" autoresize @click="handleChartClick" />
+          class="dimension-select pareto-scope-select"
+          :value="displayScope"
+          @change="emit('display-scope-change', $event.target.value)"
+        >
+          <option value="all">全部顯示</option>
+          <option value="top20">只顯示 TOP 20</option>
+        </select>
+      </div>
+    </div>
+    <div class="card-body pareto-layout">
+      <div class="pareto-chart-wrap">
+        <VChart :option="chartOption" autoresize @click="handleChartClick" />
         <div v-if="!hasData && !loading" class="placeholder chart-empty">No data</div>
       </div>
       <div class="pareto-table-wrap">
@@ -166,19 +187,18 @@ function handleChartClick(params) {
             </tr>
           </thead>
           <tbody>
-            <tr
+            <tr
-              v-for="item in items"
+              v-for="item in items"
-              :key="item.reason"
+              :key="item.reason"
-              :class="{ active: detailReason === item.reason }"
+              :class="{ active: isSelected(item.reason) }"
-            >
+            >
-              <td>
+              <td>
-                <button v-if="dimension === 'reason'" class="reason-link" type="button" @click="$emit('reason-click', item.reason)">
+                <button class="reason-link" type="button" @click="$emit('item-toggle', item.reason)">
-                  {{ item.reason }}
+                  {{ item.reason }}
-                </button>
+                </button>
-                <span v-else>{{ item.reason }}</span>
+              </td>
-              </td>
+              <td>{{ formatNumber(item.metric_value) }}</td>
-              <td>{{ formatNumber(item.metric_value) }}</td>
+              <td>{{ formatPct(item.pct) }}</td>
-              <td>{{ formatPct(item.pct) }}</td>
               <td>{{ formatPct(item.cumPct) }}</td>
             </tr>
             <tr v-if="!items || items.length === 0">

frontend/src/reject-history/style.css

@@ -53,6 +53,10 @@
   margin-bottom: 12px;
 }
 
+.supplementary-toolbar {
+  margin-bottom: 12px;
+}
+
 .supplementary-row {
   display: grid;
   grid-template-columns: repeat(3, minmax(0, 1fr));
@@ -312,6 +316,13 @@
   gap: 12px;
 }
 
+.pareto-controls {
+  display: inline-flex;
+  align-items: center;
+  gap: 8px;
+  margin-left: auto;
+}
+
 .dimension-select {
   font-size: 12px;
   padding: 3px 8px;
@@ -320,7 +331,10 @@
   background: var(--bg-primary, #fff);
   color: var(--text-primary, #374151);
   cursor: pointer;
-  margin-left: auto;
+}
+
+.pareto-scope-select {
+  min-width: 110px;
 }
 
 .pareto-date-badge {

openspec/changes/archive/2026-03-02-reject-history-pareto-datasource-fix/.openspec.yaml

@@ -0,0 +1,2 @@
+schema: spec-driven
+created: 2026-03-02

openspec/changes/archive/2026-03-02-reject-history-pareto-datasource-fix/design.md

@@ -0,0 +1,59 @@
+## Context
+
+報廢歷史查詢的 SQL 基底查詢（`performance_daily.sql` / `performance_daily_lot.sql`）目前有一個 `wip_lookup` CTE，從 `DW_MES_WIP`（8000 萬筆）以 `ROW_NUMBER()` + `CONTAINERID` 取最新一筆 WIP 記錄，用於 PJ_TYPE、PRODUCTLINENAME、EQUIPMENTS、WORKFLOWNAME 的 fallback。此做法存在多項問題：
+
+1. `DW_MES_WIP` 取的是「最新」WIP 步驟，不是報廢發生當下的步驟
+2. PJ_TYPE 和 PRODUCTLINENAME 應直接從 `DW_MES_CONTAINER` 取得
+3. EQUIPMENTNAME 若 reject history 沒有值就應留空，不需額外查找
+4. WORKFLOWNAME 應從 `DW_MES_LOTWIPHISTORY` 透過 `WIPTRACKINGGROUPKEYID` 精確對應
+
+## Goals / Non-Goals
+
+**Goals:**
+- 修正 5 個維度柏拉圖的資料來源，使 package/type/workflow/equipment 正確顯示
+- workcenter 柏拉圖維度維持使用 WORKCENTER_GROUP
+- WORKFLOW 精確對應到報廢發生當下的 WIP 步驟
+
+**Non-Goals:**
+- 不變更前端元件邏輯
+- 不變更 API 介面或回應結構
+- 不新增篩選維度
+
+## Decisions
+
+### D1: 移除 `wip_lookup` CTE，改用直接 LEFT JOIN `DW_MES_LOTWIPHISTORY`
+
+移除整個 `wip_lookup` CTE（來自 `DW_MES_WIP`），在 `reject_raw` 的 FROM 區段新增：
+
+```sql
+LEFT JOIN DWH.DW_MES_LOTWIPHISTORY lwh
+  ON lwh.WIPTRACKINGGROUPKEYID = r.WIPTRACKINGGROUPKEYID
+```
+
+理由：`DW_MES_LOTREJECTHISTORY` 和 `DW_MES_LOTWIPHISTORY` 都有 `WIPTRACKINGGROUPKEYID`，兩邊都有索引，直接 JOIN 即可精確對應到報廢事件所在的 WIP 步驟。不需要 CTE、不需要 ROW_NUMBER、不需要子查詢。
+
+### D2: 各欄位來源
+
+| 欄位 | 來源表 | 寫法 |
+|---|---|---|
+| PJ_TYPE | DW_MES_CONTAINER | `NVL(TRIM(c.PJ_TYPE), '(NA)')` |
+| PRODUCTLINENAME | DW_MES_CONTAINER | `NVL(TRIM(c.PRODUCTLINENAME), '(NA)')` |
+| EQUIPMENTNAME | DW_MES_LOTREJECTHISTORY | `NVL(TRIM(r.EQUIPMENTNAME), '(NA)')` |
+| PRIMARY_EQUIPMENTNAME | DW_MES_LOTREJECTHISTORY | `NVL(TRIM(REGEXP_SUBSTR(r.EQUIPMENTNAME, '[^,]+', 1, 1)), '(NA)')` |
+| WORKFLOWNAME | DW_MES_LOTWIPHISTORY | `NVL(TRIM(lwh.WORKFLOWNAME), '(NA)')` |
+| WORKCENTERNAME | spec_map (既有) | `NVL(TRIM(sm.WORK_CENTER), NVL(TRIM(r.WORKCENTERNAME), '(NA)'))` |
+| WORKCENTER_GROUP | spec_map (既有) | `NVL(TRIM(sm.WORKCENTER_GROUP), NVL(TRIM(r.WORKCENTERNAME), '(NA)'))` |
+
+### D3: Python 維度映射 workcenter 改回 WORKCENTER_GROUP
+
+`reject_dataset_cache.py` 的 `_DIM_TO_DF_COLUMN` 和 `reject_history_service.py` 的 `_DIMENSION_COLUMN_MAP` 中 `"workcenter"` 映射改回 `WORKCENTER_GROUP` / `b.WORKCENTER_GROUP`。
+
+### D4: 兩支 SQL 同步修改
+
+`performance_daily.sql` 和 `performance_daily_lot.sql` 需同步做相同變更，保持一致。
+
+## Risks / Trade-offs
+
+- `DW_MES_LOTWIPHISTORY` 有 5400 萬筆，但 `WIPTRACKINGGROUPKEYID` 有索引，JOIN 效率可控
+- 若 `WIPTRACKINGGROUPKEYID` 為 NULL 的 reject 記錄，WORKFLOWNAME 會顯示 (NA)——這是正確行為
+- `DW_MES_CONTAINER` 的 PJ_TYPE / PRODUCTLINENAME 若為 NULL，仍會顯示 (NA)——這代表該 container 確實沒有此資訊

openspec/changes/archive/2026-03-02-reject-history-pareto-datasource-fix/proposal.md

@@ -0,0 +1,28 @@
+## Why
+
+報廢歷史柏拉圖的多個維度顯示不正確：package、type、equipment 全顯示 (NA)，workflow 顯示成 spec name，workcenter 維度應顯示 WORKCENTER_GROUP。原因是 SQL 資料來源選擇錯誤——目前錯誤地使用 `DW_MES_WIP` 作為 fallback，應改為正確使用 `DW_MES_CONTAINER` 取 package/type，`DW_MES_LOTWIPHISTORY` 取 workflow（透過 `WIPTRACKINGGROUPKEYID` 精確對應報廢事件），equipment 不做額外查找。
+
+## What Changes
+
+- 移除 `performance_daily.sql` 和 `performance_daily_lot.sql` 中的 `wip_lookup` CTE（來自 `DW_MES_WIP`）
+- 新增 `LEFT JOIN DWH.DW_MES_LOTWIPHISTORY` 透過 `WIPTRACKINGGROUPKEYID` 取得報廢當下對應的 WORKFLOWNAME
+- PJ_TYPE、PRODUCTLINENAME 還原為僅從 `DW_MES_CONTAINER` 取得
+- EQUIPMENTNAME 還原為僅從 `DW_MES_LOTREJECTHISTORY` 取得（空就空，不額外查找）
+- WORKFLOWNAME 改為從 `DW_MES_LOTWIPHISTORY` 取得（精確對應報廢事件的 WIP 步驟）
+- 柏拉圖 workcenter 維度映射改回 `WORKCENTER_GROUP`（Python service 層）
+
+## Capabilities
+
+### New Capabilities
+
+(none)
+
+### Modified Capabilities
+
+- `reject-history-api`: Dimension Pareto 的 SQL 資料來源變更——移除 DW_MES_WIP fallback，改用 DW_MES_LOTWIPHISTORY 取 workflow，workcenter 維度映射改回 WORKCENTER_GROUP
+
+## Impact
+
+- SQL: `performance_daily.sql`, `performance_daily_lot.sql` — CTE 結構變更，JOIN 變更
+- Python: `reject_dataset_cache.py`, `reject_history_service.py` — 維度映射常數調整
+- 無前端變更、無 API 介面變更、無新增依賴

openspec/changes/archive/2026-03-02-reject-history-pareto-datasource-fix/specs/reject-history-api/spec.md

@@ -0,0 +1,42 @@
+## MODIFIED Requirements
+
+### Requirement: Reject History SQL base query SHALL source dimension columns from correct tables
+
+The base query (`performance_daily.sql`, `performance_daily_lot.sql`) SHALL source each dimension column from its authoritative table.
+
+#### Scenario: PJ_TYPE sourced from DW_MES_CONTAINER
+- **WHEN** the base query resolves PJ_TYPE
+- **THEN** it SHALL use `DW_MES_CONTAINER.PJ_TYPE` only
+- **THEN** it SHALL NOT fall back to `DW_MES_WIP`
+
+#### Scenario: PRODUCTLINENAME sourced from DW_MES_CONTAINER
+- **WHEN** the base query resolves PRODUCTLINENAME (package)
+- **THEN** it SHALL use `DW_MES_CONTAINER.PRODUCTLINENAME` only
+- **THEN** it SHALL NOT fall back to `DW_MES_WIP`
+
+#### Scenario: EQUIPMENTNAME sourced from DW_MES_LOTREJECTHISTORY only
+- **WHEN** the base query resolves EQUIPMENTNAME
+- **THEN** it SHALL use `DW_MES_LOTREJECTHISTORY.EQUIPMENTNAME` only
+- **THEN** it SHALL NOT perform any additional lookup when the value is NULL
+
+#### Scenario: WORKFLOWNAME sourced from DW_MES_LOTWIPHISTORY via WIPTRACKINGGROUPKEYID
+- **WHEN** the base query resolves WORKFLOWNAME
+- **THEN** it SHALL LEFT JOIN `DW_MES_LOTWIPHISTORY` on `WIPTRACKINGGROUPKEYID`
+- **THEN** it SHALL use `DW_MES_LOTWIPHISTORY.WORKFLOWNAME`
+- **THEN** it SHALL NOT fall back to SPECNAME or any other field
+
+#### Scenario: No DW_MES_WIP dependency in base query
+- **WHEN** the base query CTEs are examined
+- **THEN** there SHALL be no CTE or JOIN referencing `DW_MES_WIP`
+
+### Requirement: Dimension Pareto workcenter dimension SHALL use WORKCENTER_GROUP
+
+The workcenter dimension in Pareto analysis SHALL group by `WORKCENTER_GROUP`, not individual `WORKCENTERNAME`.
+
+#### Scenario: Cache-based Pareto workcenter mapping
+- **WHEN** `reject_dataset_cache.py` computes workcenter dimension Pareto
+- **THEN** the dimension column SHALL be `WORKCENTER_GROUP`
+
+#### Scenario: SQL-based Pareto workcenter mapping
+- **WHEN** `reject_history_service.py` builds workcenter dimension Pareto SQL
+- **THEN** the dimension column SHALL be `b.WORKCENTER_GROUP`

openspec/changes/archive/2026-03-02-reject-history-pareto-datasource-fix/tasks.md

@@ -0,0 +1,22 @@
+## 1. SQL 基底查詢修正 — performance_daily.sql
+
+- [x] 1.1 移除 `wip_lookup` CTE（整個 DW_MES_WIP 相關區段）
+- [x] 1.2 新增 `LEFT JOIN DWH.DW_MES_LOTWIPHISTORY lwh ON lwh.WIPTRACKINGGROUPKEYID = r.WIPTRACKINGGROUPKEYID`
+- [x] 1.3 PJ_TYPE 還原為 `NVL(TRIM(c.PJ_TYPE), '(NA)')`
+- [x] 1.4 PRODUCTLINENAME 還原為 `NVL(TRIM(c.PRODUCTLINENAME), '(NA)')`
+- [x] 1.5 EQUIPMENTNAME 還原為 `NVL(TRIM(r.EQUIPMENTNAME), '(NA)')`，PRIMARY_EQUIPMENTNAME 同步還原
+- [x] 1.6 WORKFLOWNAME 改為 `NVL(TRIM(lwh.WORKFLOWNAME), '(NA)')`
+
+## 2. SQL 基底查詢修正 — performance_daily_lot.sql
+
+- [x] 2.1 移除 `wip_lookup` CTE
+- [x] 2.2 新增 `LEFT JOIN DWH.DW_MES_LOTWIPHISTORY lwh ON lwh.WIPTRACKINGGROUPKEYID = r.WIPTRACKINGGROUPKEYID`
+- [x] 2.3 PJ_TYPE 還原為 `NVL(TRIM(c.PJ_TYPE), '(NA)')`
+- [x] 2.4 PRODUCTLINENAME 還原為 `NVL(TRIM(c.PRODUCTLINENAME), '(NA)')`
+- [x] 2.5 EQUIPMENTNAME 還原為 `NVL(TRIM(r.EQUIPMENTNAME), '(NA)')`，PRIMARY_EQUIPMENTNAME 同步還原
+- [x] 2.6 WORKFLOWNAME 改為 `NVL(TRIM(lwh.WORKFLOWNAME), '(NA)')`
+
+## 3. Python 維度映射修正
+
+- [x] 3.1 `reject_dataset_cache.py` `_DIM_TO_DF_COLUMN` — workcenter 改回 `WORKCENTER_GROUP`
+- [x] 3.2 `reject_history_service.py` `_DIMENSION_COLUMN_MAP` — workcenter 改回 `b.WORKCENTER_GROUP`

openspec/changes/archive/2026-03-02-reject-history-pareto-ux-enhancements/.openspec.yaml

@@ -0,0 +1,2 @@
+schema: spec-driven
+created: 2026-03-02

openspec/changes/archive/2026-03-02-reject-history-pareto-ux-enhancements/README.md

@@ -0,0 +1,3 @@
+# reject-history-pareto-ux-enhancements
+
+Add pareto display scope options, multi-select drill-down, and filtered detail CSV export

openspec/changes/archive/2026-03-02-reject-history-pareto-ux-enhancements/design.md

@@ -0,0 +1,73 @@
+## Context
+
+Reject History 已改為兩階段查詢：`/api/reject-history/query` 先查 Oracle 並快取 DataFrame，`/api/reject-history/view` 與 `/api/reject-history/export-cached` 在快取資料上做補充篩選。現況存在三個 UX/一致性缺口：
+
+1. `TYPE/WORKFLOW/機台` 維度在 80% 範圍下仍可能過多，不易閱讀。  
+2. Pareto 點選目前僅支援單選原因（reason），不支援多選且不支援其他維度。  
+3. 匯出需要和畫面篩選完全一致，但目前缺少 Pareto 多選情境的等價參數傳遞與後端套用。
+
+本變更跨前端 Vue（FilterPanel/ParetoSection/App）與後端 Flask+Pandas（routes/cache service），屬跨模組一致性調整。
+
+## Goals / Non-Goals
+
+**Goals:**
+- 在 `TYPE/WORKFLOW/機台` 維度提供 Pareto 顯示範圍切換（`全部顯示` / `只顯示 TOP 20`）。
+- 將「Pareto 僅顯示累計前 80%」控制移到補充篩選區域，維持預設啟用。
+- Pareto 圖表與表格都支援多選，並即時聯動刷新明系列表。
+- 匯出 CSV 套用完整篩選上下文（主查詢、補充篩選、互動篩選、Pareto 多選）。
+- 保持 UTF-8 BOM 與標準 CSV escaping。
+
+**Non-Goals:**
+- 不改動 Oracle SQL schema 與資料來源邏輯。
+- 不新增新資料表或 Redis key 結構。
+- 不重做 Reject History 整體版面，只做既有模組行為擴充。
+
+## Decisions
+
+### 1) Pareto 多選狀態由 App.vue 集中管理
+- Decision: 新增 `selectedParetoValues`（array）與 `paretoDisplayScope`（`all`/`top20`）於 `App.vue`。
+- Why: 既有趨勢日期、補充篩選、明細分頁都由 App 協調；將 Pareto 多選納入同一狀態中心可確保 URL、view、export 一致。
+- Alternative considered:
+  - 在 `ParetoSection.vue` 內部持有選取狀態：會造成匯出與後端參數組裝需要額外同步機制，易出現狀態漂移。
+
+### 2) `TOP 20` 僅在前端呈現層裁切
+- Decision: 後端仍回傳完整（或 top80）Pareto items，`TOP 20` 由前端 computed 再切片。
+- Why: `TOP 20` 是視覺呈現策略，不是資料語意；放前端可避免增加 API 分支與快取鍵複雜度。
+- Alternative considered:
+  - API 增加 `display_scope=top20`：可行但會讓同一資料語意被多組 API 參數切分，且對快取命中率不利。
+
+### 3) Pareto 多選篩選在後端 cache service 統一套用
+- Decision: `apply_view()` 與 `export_csv_from_cache()` 新增 `pareto_dimension` + `pareto_values` 參數，透過共享 helper 套用到對應欄位。
+- Why: 明細畫面與匯出都要使用「同一過濾函式」才能保證 parity。
+- Alternative considered:
+  - 前端先過濾當頁明細再匯出：無法涵蓋全資料集，且分頁資料可能不完整。
+
+### 4) 80% toggle 位置調整但語意不變
+- Decision: checkbox UI 從主工具列移至補充篩選區塊；預設值與 URL 參數（`pareto_scope_all`）維持既有相容。
+- Why: 80% 為二階段視圖篩選，移入補充篩選可降低使用者誤解。
+
+## Risks / Trade-offs
+
+- [Risk] 多選維度欄位映射錯誤（特別是 `equipment` 對應欄位）導致篩選失準。  
+  → Mitigation: 單元測試覆蓋各維度映射與無效維度 400。  
+
+- [Risk] 前端多種互動（趨勢日期、reason、pareto 多選）同時作用時狀態難追蹤。  
+  → Mitigation: `activeFilterChips` 顯示所有活躍條件，並統一經 `refreshView()` + `updateUrlState()`。  
+
+- [Risk] CSV 匯出和列表排序/篩選不一致造成信任問題。  
+  → Mitigation: 匯出重用與 view 相同 filter helper，並新增 route/service parity 測試。
+
+## Migration Plan
+
+1. 先落地後端 `apply_view/export_csv_from_cache` 共同 Pareto 多選過濾與參數驗證。  
+2. 再調整前端控制項與事件（多選、TOP20、補充篩選區）。  
+3. 補上 route/service 單元測試。  
+4. 驗證目標：`reject-history` 相關測試通過，手動檢查 CSV 編碼與欄位。
+
+Rollback strategy:
+- 若上線後出現篩選偏差，可暫時忽略 `pareto_dimension/pareto_values` 參數（後端回退到舊邏輯），不影響既有查詢主路徑。
+
+## Open Questions
+
+- `TOP 20` 是否僅限定 `TYPE/WORKFLOW/機台`（本次採用是），或未來要擴展到全部維度？  
+- 多選 Pareto 與補充篩選中的 `reason` 同時存在時，是否需要 UI 顯示「交集」提示（本次先不新增提示文案）。

openspec/changes/archive/2026-03-02-reject-history-pareto-ux-enhancements/proposal.md

@@ -0,0 +1,26 @@
+## Why
+
+目前 Reject History 柏拉圖在 `TYPE`、`WORKFLOW`、`機台` 維度上，僅靠累計 80% 顯示時仍可能出現過多項目，影響閱讀與分析效率；同時圖表點選與明細匯出尚未完整對齊，造成追查流程不連續。需要補強互動式篩選與匯出一致性，讓使用者可直接從柏拉圖一路鑽取到可交付的明細結果。
+
+## What Changes
+
+- 在柏拉圖 `TYPE`、`WORKFLOW`、`機台` 三個維度新增顯示範圍選項：`全部顯示`、`只顯示 TOP 20`。
+- 將「Pareto 僅顯示累計前 80%」移入「補充篩選」區域，並維持預設啟用。
+- 柏拉圖支援點選項目多選（bar/table），並同步套用到下方明系列表。
+- 明系列表新增 `匯出 CSV`，匯出內容必須與當前明細可見結果完全一致（套用主篩選、補充篩選、Pareto 點選篩選、排序/分頁語意）。
+- 匯出 CSV 強化字元編碼與欄位轉義處理，避免中文亂碼與欄位錯位。
+
+## Capabilities
+
+### New Capabilities
+- `reject-history-detail-export-parity`: 明細匯出與畫面篩選完全一致的 CSV 匯出能力
+
+### Modified Capabilities
+- `reject-history-page`: 擴充柏拉圖顯示範圍控制、補充篩選位置調整、Pareto 多選聯動明細
+- `reject-history-api`: 匯出端點需保證套用所有有效篩選（含 Pareto 衍生篩選），並提供穩定 CSV 編碼輸出
+
+## Impact
+
+- Frontend: `src/pages/reject-history`（FilterPanel、ParetoSection、DetailTable、頁面狀態管理與查詢參數組裝）
+- Backend/API: reject-history list/export 查詢參數解析與 CSV 產生流程
+- Tests: 補齊 page 互動測試（多選/聯動/顯示範圍）與 API 匯出一致性測試（filter parity、encoding）

openspec/changes/archive/2026-03-02-reject-history-pareto-ux-enhancements/specs/reject-history-api/spec.md

@@ -0,0 +1,19 @@
+## MODIFIED Requirements
+
+### Requirement: Reject History API SHALL provide CSV export endpoint
+The API SHALL provide CSV export using the same filter and metric semantics as list/query APIs.
+
+#### Scenario: Export payload consistency
+- **WHEN** `GET /api/reject-history/export` is called with valid filters
+- **THEN** CSV headers SHALL include both `REJECT_TOTAL_QTY` and `DEFECT_QTY`
+- **THEN** export rows SHALL follow the same semantic definitions as summary/list endpoints
+
+#### Scenario: Cached export supports full detail-filter parity
+- **WHEN** `GET /api/reject-history/export-cached` is called with an existing `query_id`
+- **THEN** the endpoint SHALL apply primary policy toggles, supplementary filters, trend-date filters, metric filter, and Pareto-selected item filters
+- **THEN** returned rows SHALL match the same filtered detail dataset semantics used by `GET /api/reject-history/view`
+
+#### Scenario: CSV encoding and escaping are stable
+- **WHEN** either export endpoint returns CSV
+- **THEN** response charset SHALL be `utf-8-sig`
+- **THEN** values containing commas, quotes, or newlines SHALL be CSV-escaped correctly

openspec/changes/archive/2026-03-02-reject-history-pareto-ux-enhancements/specs/reject-history-detail-export-parity/spec.md

@@ -0,0 +1,18 @@
+## ADDED Requirements
+
+### Requirement: Cached reject-history export SHALL support Pareto multi-select filter parity
+The cached export endpoint SHALL support Pareto multi-select context so that exported rows match the currently drilled-down detail scope.
+
+#### Scenario: Apply selected Pareto dimension values
+- **WHEN** export request provides `pareto_dimension` and one or more `pareto_values`
+- **THEN** the backend SHALL apply an OR-match filter against the mapped dimension column
+- **THEN** only rows matching selected values SHALL be exported
+
+#### Scenario: No Pareto selection keeps existing behavior
+- **WHEN** `pareto_values` is absent or empty
+- **THEN** export SHALL apply no extra Pareto-selected-item filter
+- **THEN** existing supplementary and interactive filters SHALL still apply
+
+#### Scenario: Invalid Pareto dimension is rejected
+- **WHEN** `pareto_dimension` is not one of supported dimensions
+- **THEN** API SHALL return HTTP 400 with descriptive validation error

openspec/changes/archive/2026-03-02-reject-history-pareto-ux-enhancements/specs/reject-history-page/spec.md

@@ -0,0 +1,43 @@
+## MODIFIED Requirements
+
+### Requirement: Reject History page SHALL provide reason Pareto analysis
+The page SHALL provide a Pareto view for loss reasons and support downstream filtering.
+
+#### Scenario: Pareto rendering and ordering
+- **WHEN** Pareto data is loaded
+- **THEN** items SHALL be sorted by selected metric descending
+- **THEN** a cumulative percentage line SHALL be shown
+
+#### Scenario: Pareto 80% filter is managed in supplementary filters
+- **WHEN** the page first loads Pareto
+- **THEN** supplementary filters SHALL include "Pareto 僅顯示累計前 80%" control
+- **THEN** the control SHALL default to enabled
+
+#### Scenario: TYPE/WORKFLOW/機台 support display scope selector
+- **WHEN** Pareto dimension is `TYPE`, `WORKFLOW`, or `機台`
+- **THEN** the UI SHALL provide `全部顯示` and `只顯示 TOP 20` options
+- **THEN** `全部顯示` SHALL still respect the current 80% cumulative filter setting
+
+#### Scenario: Pareto click filtering supports multi-select
+- **WHEN** user clicks Pareto bars or table rows
+- **THEN** clicked items SHALL become active selected chips
+- **THEN** multiple selected items SHALL be supported at the same time
+- **THEN** detail list SHALL reload using current selected Pareto items as additional filter criteria
+
+#### Scenario: Re-click clears selected item only
+- **WHEN** user clicks an already selected Pareto item
+- **THEN** only that item SHALL be removed from selection
+- **THEN** remaining selected items SHALL stay active
+
+### Requirement: Reject History page SHALL support CSV export from current filter context
+The page SHALL allow users to export records using the exact active filters.
+
+#### Scenario: Export with all active filters
+- **WHEN** user clicks "匯出 CSV"
+- **THEN** export request SHALL include current primary filters, supplementary filters, trend-date filters, metric filters, and Pareto-selected items
+- **THEN** downloaded file SHALL contain exactly the same rows currently represented by the detail list filter context
+
+#### Scenario: Export remains UTF-8 Excel compatible
+- **WHEN** CSV export is downloaded
+- **THEN** the file SHALL be encoded in UTF-8 with BOM
+- **THEN** Chinese headers and values SHALL render correctly in common spreadsheet tools

openspec/changes/archive/2026-03-02-reject-history-pareto-ux-enhancements/tasks.md

@@ -0,0 +1,19 @@
+## 1. Frontend Pareto UX Enhancements
+
+- [x] 1.1 在 `FilterPanel.vue` 將「Pareto 僅顯示累計前 80%」移至補充篩選區域並維持預設啟用
+- [x] 1.2 在 `ParetoSection.vue` 新增 `全部顯示 / 只顯示 TOP 20` 控制（僅 `TYPE/WORKFLOW/機台` 顯示）
+- [x] 1.3 在 `ParetoSection.vue` 支援圖表與表格點選多選、選取高亮與取消選取
+- [x] 1.4 在 `App.vue` 新增 Pareto 多選狀態管理與 URL 狀態同步（dimension + selected values + display scope）
+
+## 2. Backend Filter/Export Parity
+
+- [x] 2.1 在 `reject_dataset_cache.py` 新增 Pareto 維度多選過濾 helper，供 view/export 共用
+- [x] 2.2 擴充 `apply_view()` 支援 `pareto_dimension` + `pareto_values` 並套用到明細過濾
+- [x] 2.3 擴充 `export_csv_from_cache()` 支援與 view 相同的 Pareto 多選過濾語意
+- [x] 2.4 更新 `reject_history_routes.py` 的 `/view` 與 `/export-cached` 參數解析與維度驗證（非法維度回 400）
+
+## 3. Validation and Regression Tests
+
+- [x] 3.1 新增/更新 route 測試：驗證 `/view`、`/export-cached` 會傳遞 Pareto 多選參數且非法維度回 400
+- [x] 3.2 新增/更新 cache service 測試：驗證 Pareto 多選在 `apply_view` 與 `export_csv_from_cache` 行為一致
+- [x] 3.3 執行 reject-history 相關測試並確認無回歸

openspec/specs/reject-history-api/spec.md

@@ -87,6 +87,16 @@ The API SHALL provide CSV export using the same filter and metric semantics as l
 - **THEN** CSV headers SHALL include both `REJECT_TOTAL_QTY` and `DEFECT_QTY`
 - **THEN** export rows SHALL follow the same semantic definitions as summary/list endpoints
 
+#### Scenario: Cached export supports full detail-filter parity
+- **WHEN** `GET /api/reject-history/export-cached` is called with an existing `query_id`
+- **THEN** the endpoint SHALL apply primary policy toggles, supplementary filters, trend-date filters, metric filter, and Pareto-selected item filters
+- **THEN** returned rows SHALL match the same filtered detail dataset semantics used by `GET /api/reject-history/view`
+
+#### Scenario: CSV encoding and escaping are stable
+- **WHEN** either export endpoint returns CSV
+- **THEN** response charset SHALL be `utf-8-sig`
+- **THEN** values containing commas, quotes, or newlines SHALL be CSV-escaped correctly
+
 ### Requirement: Reject History API SHALL centralize SQL in reject_history SQL directory
 The service SHALL load SQL from dedicated files under `src/mes_dashboard/sql/reject_history/`.
 

openspec/specs/reject-history-detail-export-parity/spec.md

@@ -0,0 +1,22 @@
+# reject-history-detail-export-parity Specification
+
+## Purpose
+TBD - created by archiving change reject-history-pareto-ux-enhancements. Update Purpose after archive.
+## Requirements
+### Requirement: Cached reject-history export SHALL support Pareto multi-select filter parity
+The cached export endpoint SHALL support Pareto multi-select context so that exported rows match the currently drilled-down detail scope.
+
+#### Scenario: Apply selected Pareto dimension values
+- **WHEN** export request provides `pareto_dimension` and one or more `pareto_values`
+- **THEN** the backend SHALL apply an OR-match filter against the mapped dimension column
+- **THEN** only rows matching selected values SHALL be exported
+
+#### Scenario: No Pareto selection keeps existing behavior
+- **WHEN** `pareto_values` is absent or empty
+- **THEN** export SHALL apply no extra Pareto-selected-item filter
+- **THEN** existing supplementary and interactive filters SHALL still apply
+
+#### Scenario: Invalid Pareto dimension is rejected
+- **WHEN** `pareto_dimension` is not one of supported dimensions
+- **THEN** API SHALL return HTTP 400 with descriptive validation error
+

openspec/specs/reject-history-page/spec.md

@@ -77,25 +77,30 @@ The page SHALL show both quantity trend and rate trend to avoid mixing unit scal
 The page SHALL provide a Pareto view for loss reasons and support downstream filtering.
 
 #### Scenario: Pareto rendering and ordering
-- **WHEN** reason Pareto data is loaded
+- **WHEN** Pareto data is loaded
 - **THEN** items SHALL be sorted by selected metric descending
 - **THEN** a cumulative percentage line SHALL be shown
 
-#### Scenario: Default 80% cumulative display mode
+#### Scenario: Pareto 80% filter is managed in supplementary filters
 - **WHEN** the page first loads Pareto
-- **THEN** it SHALL default to "only cumulative top 80%" mode
+- **THEN** supplementary filters SHALL include "Pareto 僅顯示累計前 80%" control
-- **THEN** Pareto SHALL only render categories within the cumulative 80% threshold under current filters
+- **THEN** the control SHALL default to enabled
 
-#### Scenario: Full Pareto toggle mode
+#### Scenario: TYPE/WORKFLOW/機台 support display scope selector
-- **WHEN** user turns OFF the 80% cumulative display mode
+- **WHEN** Pareto dimension is `TYPE`, `WORKFLOW`, or `機台`
-- **THEN** Pareto SHALL render all categories after applying current filters
+- **THEN** the UI SHALL provide `全部顯示` and `只顯示 TOP 20` options
-- **THEN** switching mode SHALL NOT reset existing time/reason/workcenter-group filters
+- **THEN** `全部顯示` SHALL still respect the current 80% cumulative filter setting
 
-#### Scenario: Pareto click filtering
+#### Scenario: Pareto click filtering supports multi-select
-- **WHEN** user clicks a Pareto bar or row
+- **WHEN** user clicks Pareto bars or table rows
-- **THEN** the selected reason SHALL become an active filter chip
+- **THEN** clicked items SHALL become active selected chips
-- **THEN** detail list SHALL reload with that reason
+- **THEN** multiple selected items SHALL be supported at the same time
-- **THEN** clicking the same reason again SHALL clear the reason filter
+- **THEN** detail list SHALL reload using current selected Pareto items as additional filter criteria
+
+#### Scenario: Re-click clears selected item only
+- **WHEN** user clicks an already selected Pareto item
+- **THEN** only that item SHALL be removed from selection
+- **THEN** remaining selected items SHALL stay active
 
 ### Requirement: Reject History page SHALL show paginated detail rows
 The page SHALL provide a paginated detail table for investigation and traceability.
@@ -112,10 +117,15 @@ The page SHALL provide a paginated detail table for investigation and traceabili
 ### Requirement: Reject History page SHALL support CSV export from current filter context
 The page SHALL allow users to export records using the exact active filters.
 
-#### Scenario: Export with current filters
+#### Scenario: Export with all active filters
 - **WHEN** user clicks "匯出 CSV"
-- **THEN** export request SHALL include the current filter state and active reason filter
+- **THEN** export request SHALL include current primary filters, supplementary filters, trend-date filters, metric filters, and Pareto-selected items
-- **THEN** downloaded file SHALL contain both `REJECT_TOTAL_QTY` and `DEFECT_QTY`
+- **THEN** downloaded file SHALL contain exactly the same rows currently represented by the detail list filter context
+
+#### Scenario: Export remains UTF-8 Excel compatible
+- **WHEN** CSV export is downloaded
+- **THEN** the file SHALL be encoded in UTF-8 with BOM
+- **THEN** Chinese headers and values SHALL render correctly in common spreadsheet tools
 
 ### Requirement: Reject History page SHALL provide robust feedback states
 The page SHALL provide loading, empty, and error states without breaking interactions.

scripts/start_server.sh

@@ -26,7 +26,7 @@ REDIS_ENABLED="${REDIS_ENABLED:-true}"
 # Worker watchdog configuration
 WATCHDOG_ENABLED="${WATCHDOG_ENABLED:-true}"
 # RQ trace worker configuration
-TRACE_WORKER_ENABLED="${TRACE_WORKER_ENABLED:-false}"
+TRACE_WORKER_ENABLED="${TRACE_WORKER_ENABLED:-true}"
 TRACE_WORKER_QUEUE="${TRACE_WORKER_QUEUE:-trace-events}"
 
 # Colors for output

src/mes_dashboard/routes/reject_history_routes.py

@@ -113,6 +113,14 @@ def _extract_meta(
 
 
 _VALID_BOOL_STRINGS = {"", "0", "false", "no", "n", "off", "1", "true", "yes", "y", "on"}
+_VALID_PARETO_DIMENSIONS = {
+    "reason",
+    "package",
+    "type",
+    "workflow",
+    "workcenter",
+    "equipment",
+}
 
 
 def _parse_common_bools() -> tuple[Optional[tuple[dict, int]], bool, bool, bool]:
@@ -137,6 +145,22 @@ def _parse_common_bools() -> tuple[Optional[tuple[dict, int]], bool, bool, bool]
     return None, include_excluded_scrap, exclude_material_scrap, exclude_pb_diode
 
 
+def _parse_pareto_selection() -> tuple[Optional[tuple[dict, int]], Optional[str], Optional[list[str]]]:
+    pareto_dimension = request.args.get("pareto_dimension", "").strip().lower()
+    pareto_values = _parse_multi_param("pareto_values")
+    if pareto_values and not pareto_dimension:
+        pareto_dimension = "reason"
+    if pareto_dimension and pareto_dimension not in _VALID_PARETO_DIMENSIONS:
+        return (
+            {
+                "success": False,
+                "error": f"Invalid pareto_dimension, supported: {', '.join(sorted(_VALID_PARETO_DIMENSIONS))}",
+            },
+            400,
+        ), None, None
+    return None, (pareto_dimension or None), (pareto_values or None)
+
+
 @reject_history_bp.route("/api/reject-history/options", methods=["GET"])
 def api_reject_history_options():
     start_date, end_date, date_error = _parse_date_range(required=False)
@@ -304,6 +328,9 @@ def api_reject_history_reason_pareto():
                 workcenter_groups=_parse_multi_param("workcenter_groups") or None,
                 reason=request.args.get("reason", "").strip() or None,
                 trend_dates=_parse_multi_param("trend_dates") or None,
+                include_excluded_scrap=include_excluded_scrap,
+                exclude_material_scrap=exclude_material_scrap,
+                exclude_pb_diode=exclude_pb_diode,
             )
             if result is not None:
                 return jsonify({"success": True, "data": result, "meta": {}})
@@ -517,6 +544,9 @@ def api_reject_history_view():
     metric_filter = request.args.get("metric_filter", "all").strip().lower() or "all"
     reason = request.args.get("reason", "").strip() or None
     detail_reason = request.args.get("detail_reason", "").strip() or None
+    pareto_error, pareto_dimension, pareto_values = _parse_pareto_selection()
+    if pareto_error:
+        return jsonify(pareto_error[0]), pareto_error[1]
 
     include_excluded_scrap = request.args.get("include_excluded_scrap", "false").lower() == "true"
     exclude_material_scrap = request.args.get("exclude_material_scrap", "true").lower() != "false"
@@ -531,6 +561,8 @@ def api_reject_history_view():
             metric_filter=metric_filter,
             trend_dates=_parse_multi_param("trend_dates") or None,
             detail_reason=detail_reason,
+            pareto_dimension=pareto_dimension,
+            pareto_values=pareto_values,
             page=page,
             per_page=per_page,
             include_excluded_scrap=include_excluded_scrap,
@@ -561,6 +593,9 @@ def api_reject_history_export_cached():
     metric_filter = request.args.get("metric_filter", "all").strip().lower() or "all"
     reason = request.args.get("reason", "").strip() or None
     detail_reason = request.args.get("detail_reason", "").strip() or None
+    pareto_error, pareto_dimension, pareto_values = _parse_pareto_selection()
+    if pareto_error:
+        return jsonify(pareto_error[0]), pareto_error[1]
 
     include_excluded_scrap = request.args.get("include_excluded_scrap", "false").lower() == "true"
     exclude_material_scrap = request.args.get("exclude_material_scrap", "true").lower() != "false"
@@ -575,6 +610,8 @@ def api_reject_history_export_cached():
             metric_filter=metric_filter,
             trend_dates=_parse_multi_param("trend_dates") or None,
             detail_reason=detail_reason,
+            pareto_dimension=pareto_dimension,
+            pareto_values=pareto_values,
             include_excluded_scrap=include_excluded_scrap,
             exclude_material_scrap=exclude_material_scrap,
             exclude_pb_diode=exclude_pb_diode,

src/mes_dashboard/services/reject_dataset_cache.py

@@ -50,9 +50,10 @@ from mes_dashboard.sql import QueryBuilder
 
 logger = logging.getLogger("mes_dashboard.reject_dataset_cache")
 
-_CACHE_TTL = 900  # 15 minutes
+_CACHE_TTL = 900  # 15 minutes
-_CACHE_MAX_SIZE = 8
+_CACHE_MAX_SIZE = 8
-_REDIS_NAMESPACE = "reject_dataset"
+_REDIS_NAMESPACE = "reject_dataset"
+_CACHE_SCHEMA_VERSION = 4
 
 _dataset_cache = ProcessLevelCache(ttl_seconds=_CACHE_TTL, max_size=_CACHE_MAX_SIZE)
 register_process_cache("reject_dataset", _dataset_cache, "Reject Dataset (L1, 15min)")
@@ -252,12 +253,13 @@ def execute_primary_query(
     )
 
     # ---- Compute query_id from base params only (policy filters applied in-memory) ----
-    query_id_input = {
+    query_id_input = {
-        "mode": mode,
+        "cache_schema_version": _CACHE_SCHEMA_VERSION,
-        "start_date": start_date,
+        "mode": mode,
-        "end_date": end_date,
+        "start_date": start_date,
-        "container_input_type": container_input_type,
+        "end_date": end_date,
-        "container_values": sorted(container_values or []),
+        "container_input_type": container_input_type,
+        "container_values": sorted(container_values or []),
     }
     query_id = _make_query_id(query_id_input)
 
@@ -385,20 +387,22 @@ def _build_primary_response(
 # ============================================================
 
 
-def apply_view(
+def apply_view(
-    *,
+    *,
-    query_id: str,
+    query_id: str,
-    packages: Optional[List[str]] = None,
+    packages: Optional[List[str]] = None,
-    workcenter_groups: Optional[List[str]] = None,
+    workcenter_groups: Optional[List[str]] = None,
     reason: Optional[str] = None,
-    metric_filter: str = "all",
+    metric_filter: str = "all",
-    trend_dates: Optional[List[str]] = None,
+    trend_dates: Optional[List[str]] = None,
-    detail_reason: Optional[str] = None,
+    detail_reason: Optional[str] = None,
-    page: int = 1,
+    pareto_dimension: Optional[str] = None,
-    per_page: int = 50,
+    pareto_values: Optional[List[str]] = None,
-    include_excluded_scrap: bool = False,
+    page: int = 1,
-    exclude_material_scrap: bool = True,
+    per_page: int = 50,
-    exclude_pb_diode: bool = True,
+    include_excluded_scrap: bool = False,
+    exclude_material_scrap: bool = True,
+    exclude_pb_diode: bool = True,
 ) -> Optional[Dict[str, Any]]:
     """Read cache → apply filters → return derived data. Returns None if expired."""
     df = _get_cached_df(query_id)
@@ -434,12 +438,17 @@ def apply_view(
         detail_df = detail_df[
             detail_df["TXN_DAY"].apply(lambda d: _to_date_str(d) in date_set)
         ]
-    if detail_reason:
+    if detail_reason:
-        detail_df = detail_df[
+        detail_df = detail_df[
-            detail_df["LOSSREASONNAME"].str.strip() == detail_reason.strip()
+            detail_df["LOSSREASONNAME"].str.strip() == detail_reason.strip()
-        ]
+        ]
-
+    detail_df = _apply_pareto_selection_filter(
-    detail_page = _paginate_detail(detail_df, page=page, per_page=per_page)
+        detail_df,
+        pareto_dimension=pareto_dimension,
+        pareto_values=pareto_values,
+    )
+
+    detail_page = _paginate_detail(detail_df, page=page, per_page=per_page)
 
     return {
         "analytics_raw": analytics_raw,
@@ -448,7 +457,7 @@ def apply_view(
     }
 
 
-def _apply_supplementary_filters(
+def _apply_supplementary_filters(
     df: pd.DataFrame,
     *,
     packages: Optional[List[str]] = None,
@@ -485,7 +494,47 @@ def _apply_supplementary_filters(
     elif metric_filter == "defect" and "DEFECT_QTY" in df.columns:
         mask &= df["DEFECT_QTY"] > 0
 
-    return df[mask]
+    return df[mask]
+
+
+def _normalize_pareto_values(values: Optional[List[str]]) -> List[str]:
+    normalized: List[str] = []
+    seen = set()
+    for value in values or []:
+        item = _normalize_text(value)
+        if not item or item in seen:
+            continue
+        seen.add(item)
+        normalized.append(item)
+    return normalized
+
+
+def _apply_pareto_selection_filter(
+    df: pd.DataFrame,
+    *,
+    pareto_dimension: Optional[str] = None,
+    pareto_values: Optional[List[str]] = None,
+) -> pd.DataFrame:
+    """Apply Pareto multi-select filters on detail/export datasets."""
+    if df is None or df.empty:
+        return df
+
+    normalized_values = _normalize_pareto_values(pareto_values)
+    if not normalized_values:
+        return df
+
+    dimension = _normalize_text(pareto_dimension).lower() or "reason"
+    dim_col = _DIM_TO_DF_COLUMN.get(dimension)
+    if not dim_col:
+        raise ValueError(f"不支援的 pareto_dimension: {pareto_dimension}")
+    if dim_col not in df.columns:
+        return df.iloc[0:0]
+
+    value_set = set(normalized_values)
+    normalized_dimension_values = df[dim_col].map(
+        lambda value: _normalize_text(value) or "(未知)"
+    )
+    return df[normalized_dimension_values.isin(value_set)]
 
 
 # ============================================================
@@ -712,35 +761,48 @@ def _extract_available_filters(df: pd.DataFrame) -> dict:
 # ============================================================
 
 # Dimension → DF column mapping (matches _DIMENSION_COLUMN_MAP in reject_history_service)
-_DIM_TO_DF_COLUMN = {
+_DIM_TO_DF_COLUMN = {
-    "reason": "LOSSREASONNAME",
+    "reason": "LOSSREASONNAME",
-    "package": "PRODUCTLINENAME",
+    "package": "PRODUCTLINENAME",
-    "type": "PJ_TYPE",
+    "type": "PJ_TYPE",
-    "workflow": "WORKFLOWNAME",
+    "workflow": "WORKFLOWNAME",
-    "workcenter": "WORKCENTER_GROUP",
+    "workcenter": "WORKCENTER_GROUP",
-    "equipment": "PRIMARY_EQUIPMENTNAME",
+    "equipment": "PRIMARY_EQUIPMENTNAME",
-}
+}
 
 
-def compute_dimension_pareto(
+def compute_dimension_pareto(
-    *,
+    *,
-    query_id: str,
+    query_id: str,
-    dimension: str = "reason",
+    dimension: str = "reason",
-    metric_mode: str = "reject_total",
+    metric_mode: str = "reject_total",
-    pareto_scope: str = "top80",
+    pareto_scope: str = "top80",
-    packages: Optional[List[str]] = None,
+    packages: Optional[List[str]] = None,
-    workcenter_groups: Optional[List[str]] = None,
+    workcenter_groups: Optional[List[str]] = None,
-    reason: Optional[str] = None,
+    reason: Optional[str] = None,
-    trend_dates: Optional[List[str]] = None,
+    trend_dates: Optional[List[str]] = None,
-) -> Optional[Dict[str, Any]]:
+    include_excluded_scrap: bool = False,
-    """Compute dimension pareto from cached DataFrame (no Oracle query)."""
+    exclude_material_scrap: bool = True,
-    df = _get_cached_df(query_id)
+    exclude_pb_diode: bool = True,
-    if df is None:
+) -> Optional[Dict[str, Any]]:
-        return None
+    """Compute dimension pareto from cached DataFrame (no Oracle query)."""
-
+    df = _get_cached_df(query_id)
-    dim_col = _DIM_TO_DF_COLUMN.get(dimension, "LOSSREASONNAME")
+    if df is None:
-    if dim_col not in df.columns:
+        return None
-        return {"items": [], "dimension": dimension, "metric_mode": metric_mode}
+
+    # Keep cache-based pareto behavior aligned with primary/view policy filters.
+    df = _apply_policy_filters(
+        df,
+        include_excluded_scrap=include_excluded_scrap,
+        exclude_material_scrap=exclude_material_scrap,
+        exclude_pb_diode=exclude_pb_diode,
+    )
+    if df is None or df.empty:
+        return {"items": [], "dimension": dimension, "metric_mode": metric_mode}
+
+    dim_col = _DIM_TO_DF_COLUMN.get(dimension, "LOSSREASONNAME")
+    if dim_col not in df.columns:
+        return {"items": [], "dimension": dimension, "metric_mode": metric_mode}
 
     # Apply supplementary filters
     filtered = _apply_supplementary_filters(
@@ -834,19 +896,21 @@ def compute_dimension_pareto(
 # ============================================================
 
 
-def export_csv_from_cache(
+def export_csv_from_cache(
     *,
     query_id: str,
     packages: Optional[List[str]] = None,
     workcenter_groups: Optional[List[str]] = None,
     reason: Optional[str] = None,
-    metric_filter: str = "all",
+    metric_filter: str = "all",
-    trend_dates: Optional[List[str]] = None,
+    trend_dates: Optional[List[str]] = None,
-    detail_reason: Optional[str] = None,
+    detail_reason: Optional[str] = None,
-    include_excluded_scrap: bool = False,
+    pareto_dimension: Optional[str] = None,
-    exclude_material_scrap: bool = True,
+    pareto_values: Optional[List[str]] = None,
-    exclude_pb_diode: bool = True,
+    include_excluded_scrap: bool = False,
-) -> Optional[list]:
+    exclude_material_scrap: bool = True,
+    exclude_pb_diode: bool = True,
+) -> Optional[list]:
     """Read cache → apply filters → return list of dicts for CSV export."""
     df = _get_cached_df(query_id)
     if df is None:
@@ -872,12 +936,17 @@ def export_csv_from_cache(
         filtered = filtered[
             filtered["TXN_DAY"].apply(lambda d: _to_date_str(d) in date_set)
         ]
-    if detail_reason and "LOSSREASONNAME" in filtered.columns:
+    if detail_reason and "LOSSREASONNAME" in filtered.columns:
-        filtered = filtered[
+        filtered = filtered[
-            filtered["LOSSREASONNAME"].str.strip() == detail_reason.strip()
+            filtered["LOSSREASONNAME"].str.strip() == detail_reason.strip()
-        ]
+        ]
-
+    filtered = _apply_pareto_selection_filter(
-    rows = []
+        filtered,
+        pareto_dimension=pareto_dimension,
+        pareto_values=pareto_values,
+    )
+
+    rows = []
     for _, row in filtered.iterrows():
         rows.append(
             {

src/mes_dashboard/sql/reject_history/list.sql

@@ -34,6 +34,7 @@ SELECT
     p.EQUIPMENTNAME,
     p.PRIMARY_EQUIPMENTNAME,
     p.PRODUCTLINENAME,
+    p.SCRAP_OBJECTTYPE,
     p.PJ_TYPE,
     p.CONTAINERNAME,
     p.PJ_FUNCTION,

src/mes_dashboard/sql/reject_history/performance_daily.sql

@@ -30,16 +30,6 @@ WITH spec_map AS (
     WHERE SPEC IS NOT NULL
     GROUP BY SPEC
 ),
-workflow_lookup AS (
-    SELECT /*+ MATERIALIZE */ DISTINCT w.CONTAINERID, w.WORKFLOWNAME
-    FROM DWH.DW_MES_WIP w
-    WHERE w.PRODUCTLINENAME <> '點測'
-      AND w.CONTAINERID IN (
-          SELECT DISTINCT r0.CONTAINERID
-          FROM DWH.DW_MES_LOTREJECTHISTORY r0
-          WHERE {{ WORKFLOW_FILTER }}
-      )
-),
 reject_raw AS (
     SELECT
         TRUNC(r.TXNDATE) AS TXN_DAY,
@@ -56,9 +46,37 @@ reject_raw AS (
         NVL(TRIM(r.EQUIPMENTNAME), '(NA)') AS EQUIPMENTNAME,
         NVL(
             TRIM(REGEXP_SUBSTR(r.EQUIPMENTNAME, '[^,]+', 1, 1)),
-            NVL(TRIM(r.EQUIPMENTNAME), '(NA)')
+            '(NA)'
         ) AS PRIMARY_EQUIPMENTNAME,
-        NVL(TRIM(wf.WORKFLOWNAME), NVL(TRIM(r.SPECNAME), '(NA)')) AS WORKFLOWNAME,
+        NVL(
+            TRIM(lwh.WORKFLOWNAME),
+            NVL(
+                TRIM((
+                    SELECT w.WORKFLOWNAME
+                    FROM DWH.DW_MES_WIP w
+                    WHERE c.CONTAINERNAME IS NOT NULL
+                      AND w.CONTAINERNAME = c.CONTAINERNAME
+                      AND NVL(TRIM(w.SPECNAME), '-') = NVL(TRIM(r.SPECNAME), '-')
+                      AND w.TXNDATE <= r.TXNDATE
+                      AND TRIM(w.WORKFLOWNAME) IS NOT NULL
+                    ORDER BY w.TXNDATE DESC
+                    FETCH FIRST 1 ROW ONLY
+                )),
+                NVL(
+                    TRIM((
+                        SELECT w.WORKFLOWNAME
+                        FROM DWH.DW_MES_WIP w
+                        WHERE c.CONTAINERNAME IS NOT NULL
+                          AND w.CONTAINERNAME = c.CONTAINERNAME
+                          AND NVL(TRIM(w.SPECNAME), '-') = NVL(TRIM(r.SPECNAME), '-')
+                          AND TRIM(w.WORKFLOWNAME) IS NOT NULL
+                        ORDER BY w.TXNDATE DESC
+                        FETCH FIRST 1 ROW ONLY
+                    )),
+                    '(NA)'
+                )
+            )
+        ) AS WORKFLOWNAME,
         NVL(TRIM(r.LOSSREASONNAME), '(未填寫)') AS LOSSREASONNAME,
         NVL(
             TRIM(REGEXP_SUBSTR(NVL(TRIM(r.LOSSREASONNAME), '(未填寫)'), '^[^_[:space:]-]+')),
@@ -87,10 +105,10 @@ reject_raw AS (
     FROM DWH.DW_MES_LOTREJECTHISTORY r
     LEFT JOIN DWH.DW_MES_CONTAINER c
       ON c.CONTAINERID = r.CONTAINERID
+    LEFT JOIN DWH.DW_MES_LOTWIPHISTORY lwh
+      ON lwh.WIPTRACKINGGROUPKEYID = r.WIPTRACKINGGROUPKEYID
     LEFT JOIN spec_map sm
       ON sm.SPEC = TRIM(r.SPECNAME)
-    LEFT JOIN workflow_lookup wf
-      ON wf.CONTAINERID = r.CONTAINERID
     WHERE {{ BASE_WHERE }}
 ),
 daily_agg AS (

src/mes_dashboard/sql/reject_history/performance_daily_lot.sql

@@ -5,7 +5,7 @@
 --   :start_date - Start date (YYYY-MM-DD)
 --   :end_date   - End date (YYYY-MM-DD)
 
-WITH spec_map AS (
+WITH spec_map AS (
     SELECT
         SPEC,
         MIN(WORK_CENTER) KEEP (
@@ -18,43 +18,61 @@ WITH spec_map AS (
     FROM DWH.DW_MES_SPEC_WORKCENTER_V
     WHERE SPEC IS NOT NULL
     GROUP BY SPEC
-),
+),
-workflow_lookup AS (
+reject_raw AS (
-    SELECT /*+ MATERIALIZE */ DISTINCT w.CONTAINERID, w.WORKFLOWNAME
-    FROM DWH.DW_MES_WIP w
-    WHERE w.PRODUCTLINENAME <> '點測'
-      AND w.CONTAINERID IN (
-          SELECT DISTINCT r0.CONTAINERID
-          FROM DWH.DW_MES_LOTREJECTHISTORY r0
-          WHERE {{ WORKFLOW_FILTER }}
-      )
-),
-reject_raw AS (
     SELECT
         r.TXNDATE,
         TRUNC(r.TXNDATE) AS TXN_DAY,
         TO_CHAR(TRUNC(r.TXNDATE), 'YYYY-MM') AS TXN_MONTH,
-        r.CONTAINERID,
+        r.CONTAINERID,
-        NVL(TRIM(c.CONTAINERNAME), TRIM(r.CONTAINERID)) AS CONTAINERNAME,
+        NVL(TRIM(c.CONTAINERNAME), TRIM(r.CONTAINERID)) AS CONTAINERNAME,
-        NVL(TRIM(r.PJ_WORKORDER), TRIM(c.MFGORDERNAME)) AS PJ_WORKORDER,
+        NVL(TRIM(r.PJ_WORKORDER), TRIM(c.MFGORDERNAME)) AS PJ_WORKORDER,
-        NVL(TRIM(c.PJ_TYPE), '(NA)') AS PJ_TYPE,
+        NVL(TRIM(c.PJ_TYPE), '(NA)') AS PJ_TYPE,
-        NVL(TRIM(c.PJ_FUNCTION), '(NA)') AS PJ_FUNCTION,
+        NVL(TRIM(c.PJ_FUNCTION), '(NA)') AS PJ_FUNCTION,
-        NVL(TRIM(c.PRODUCTNAME), '(NA)') AS PRODUCTNAME,
+        NVL(TRIM(c.PRODUCTNAME), '(NA)') AS PRODUCTNAME,
-        NVL(TRIM(c.PRODUCTLINENAME), '(NA)') AS PRODUCTLINENAME,
+        NVL(TRIM(c.PRODUCTLINENAME), '(NA)') AS PRODUCTLINENAME,
-        NVL(TRIM(c.OBJECTTYPE), '(NA)') AS SCRAP_OBJECTTYPE,
+        NVL(TRIM(c.OBJECTTYPE), '(NA)') AS SCRAP_OBJECTTYPE,
-        NVL(TRIM(sm.WORK_CENTER), NVL(TRIM(r.WORKCENTERNAME), '(NA)')) AS WORKCENTERNAME,
+        NVL(TRIM(sm.WORK_CENTER), NVL(TRIM(r.WORKCENTERNAME), '(NA)')) AS WORKCENTERNAME,
-        NVL(TRIM(sm.WORKCENTER_GROUP), NVL(TRIM(r.WORKCENTERNAME), '(NA)')) AS WORKCENTER_GROUP,
+        NVL(TRIM(sm.WORKCENTER_GROUP), NVL(TRIM(r.WORKCENTERNAME), '(NA)')) AS WORKCENTER_GROUP,
-        NVL(sm.WORKCENTERSEQUENCE_GROUP, 999) AS WORKCENTERSEQUENCE_GROUP,
+        NVL(sm.WORKCENTERSEQUENCE_GROUP, 999) AS WORKCENTERSEQUENCE_GROUP,
-        NVL(TRIM(r.SPECNAME), '(NA)') AS SPECNAME,
+        NVL(TRIM(r.SPECNAME), '(NA)') AS SPECNAME,
-        NVL(TRIM(r.EQUIPMENTNAME), '(NA)') AS EQUIPMENTNAME,
+        NVL(TRIM(r.EQUIPMENTNAME), '(NA)') AS EQUIPMENTNAME,
-        NVL(
+        NVL(
-            TRIM(REGEXP_SUBSTR(r.EQUIPMENTNAME, '[^,]+', 1, 1)),
+            TRIM(REGEXP_SUBSTR(r.EQUIPMENTNAME, '[^,]+', 1, 1)),
-            NVL(TRIM(r.EQUIPMENTNAME), '(NA)')
+            '(NA)'
-        ) AS PRIMARY_EQUIPMENTNAME,
+        ) AS PRIMARY_EQUIPMENTNAME,
-        NVL(TRIM(wf.WORKFLOWNAME), NVL(TRIM(r.SPECNAME), '(NA)')) AS WORKFLOWNAME,
+        NVL(
-        NVL(TRIM(r.LOSSREASONNAME), '(未填寫)') AS LOSSREASONNAME,
+            TRIM(lwh.WORKFLOWNAME),
-        NVL(
+            NVL(
-            TRIM(REGEXP_SUBSTR(NVL(TRIM(r.LOSSREASONNAME), '(未填寫)'), '^[^_[:space:]-]+')),
+                TRIM((
+                    SELECT w.WORKFLOWNAME
+                    FROM DWH.DW_MES_WIP w
+                    WHERE c.CONTAINERNAME IS NOT NULL
+                      AND w.CONTAINERNAME = c.CONTAINERNAME
+                      AND NVL(TRIM(w.SPECNAME), '-') = NVL(TRIM(r.SPECNAME), '-')
+                      AND w.TXNDATE <= r.TXNDATE
+                      AND TRIM(w.WORKFLOWNAME) IS NOT NULL
+                    ORDER BY w.TXNDATE DESC
+                    FETCH FIRST 1 ROW ONLY
+                )),
+                NVL(
+                    TRIM((
+                        SELECT w.WORKFLOWNAME
+                        FROM DWH.DW_MES_WIP w
+                        WHERE c.CONTAINERNAME IS NOT NULL
+                          AND w.CONTAINERNAME = c.CONTAINERNAME
+                          AND NVL(TRIM(w.SPECNAME), '-') = NVL(TRIM(r.SPECNAME), '-')
+                          AND TRIM(w.WORKFLOWNAME) IS NOT NULL
+                        ORDER BY w.TXNDATE DESC
+                        FETCH FIRST 1 ROW ONLY
+                    )),
+                    '(NA)'
+                )
+            )
+        ) AS WORKFLOWNAME,
+        NVL(TRIM(r.LOSSREASONNAME), '(未填寫)') AS LOSSREASONNAME,
+        NVL(
+            TRIM(REGEXP_SUBSTR(NVL(TRIM(r.LOSSREASONNAME), '(未填寫)'), '^[^_[:space:]-]+')),
             NVL(TRIM(r.LOSSREASONNAME), '(未填寫)')
         ) AS LOSSREASON_CODE,
         NVL(TRIM(r.REJECTCATEGORYNAME), '(未填寫)') AS REJECTCATEGORYNAME,
@@ -78,15 +96,15 @@ reject_raw AS (
             )
             ORDER BY NVL(TRIM(r.LOSSREASONNAME), ' ')
         ) AS EVENT_RN
-    FROM DWH.DW_MES_LOTREJECTHISTORY r
+    FROM DWH.DW_MES_LOTREJECTHISTORY r
-    LEFT JOIN DWH.DW_MES_CONTAINER c
+    LEFT JOIN DWH.DW_MES_CONTAINER c
-      ON c.CONTAINERID = r.CONTAINERID
+      ON c.CONTAINERID = r.CONTAINERID
-    LEFT JOIN spec_map sm
+    LEFT JOIN DWH.DW_MES_LOTWIPHISTORY lwh
-      ON sm.SPEC = TRIM(r.SPECNAME)
+      ON lwh.WIPTRACKINGGROUPKEYID = r.WIPTRACKINGGROUPKEYID
-    LEFT JOIN workflow_lookup wf
+    LEFT JOIN spec_map sm
-      ON wf.CONTAINERID = r.CONTAINERID
+      ON sm.SPEC = TRIM(r.SPECNAME)
-    WHERE {{ BASE_WHERE }}
+    WHERE {{ BASE_WHERE }}
-),
+),
 daily_agg AS (
     SELECT
         TXN_DAY,

tests/test_reject_dataset_cache.py

@@ -0,0 +1,188 @@
+# -*- coding: utf-8 -*-
+"""Unit tests for reject_dataset_cache helpers."""
+
+from __future__ import annotations
+
+import pandas as pd
+import pytest
+
+from mes_dashboard.services import reject_dataset_cache as cache_svc
+
+
+def test_compute_dimension_pareto_applies_policy_filters_before_grouping(monkeypatch):
+    """Cached pareto should honor the same policy toggles as view/query paths."""
+    df = pd.DataFrame(
+        [
+            {
+                "CONTAINERID": "C1",
+                "LOSSREASONNAME": "001_A",
+                "LOSSREASON_CODE": "001_A",
+                "SCRAP_OBJECTTYPE": "MATERIAL",
+                "PRODUCTLINENAME": "(NA)",
+                "WORKCENTER_GROUP": "WB",
+                "REJECT_TOTAL_QTY": 100,
+                "DEFECT_QTY": 0,
+                "MOVEIN_QTY": 1000,
+            },
+            {
+                "CONTAINERID": "C2",
+                "LOSSREASONNAME": "001_A",
+                "LOSSREASON_CODE": "001_A",
+                "SCRAP_OBJECTTYPE": "LOT",
+                "PRODUCTLINENAME": "PKG-A",
+                "WORKCENTER_GROUP": "WB",
+                "REJECT_TOTAL_QTY": 50,
+                "DEFECT_QTY": 0,
+                "MOVEIN_QTY": 900,
+            },
+        ]
+    )
+
+    monkeypatch.setattr(cache_svc, "_get_cached_df", lambda _query_id: df)
+    monkeypatch.setattr(
+        "mes_dashboard.services.scrap_reason_exclusion_cache.get_excluded_reasons",
+        lambda: [],
+    )
+
+    excluded_material = cache_svc.compute_dimension_pareto(
+        query_id="qid-1",
+        dimension="package",
+        pareto_scope="all",
+        include_excluded_scrap=False,
+        exclude_material_scrap=True,
+        exclude_pb_diode=True,
+    )
+    kept_all = cache_svc.compute_dimension_pareto(
+        query_id="qid-1",
+        dimension="package",
+        pareto_scope="all",
+        include_excluded_scrap=False,
+        exclude_material_scrap=False,
+        exclude_pb_diode=True,
+    )
+
+    excluded_labels = {item.get("reason") for item in excluded_material.get("items", [])}
+    all_labels = {item.get("reason") for item in kept_all.get("items", [])}
+
+    assert "PKG-A" in excluded_labels
+    assert "(NA)" not in excluded_labels
+    assert "(NA)" in all_labels
+
+
+def _build_detail_filter_df():
+    return pd.DataFrame(
+        [
+            {
+                "CONTAINERID": "C1",
+                "CONTAINERNAME": "LOT-001",
+                "TXN_DAY": pd.Timestamp("2026-02-01"),
+                "TXN_TIME": pd.Timestamp("2026-02-01 08:00:00"),
+                "WORKCENTERSEQUENCE_GROUP": 1,
+                "WORKCENTER_GROUP": "WB",
+                "WORKCENTERNAME": "WB-A",
+                "SPECNAME": "SPEC-A",
+                "WORKFLOWNAME": "WF-A",
+                "PRIMARY_EQUIPMENTNAME": "EQ-1",
+                "EQUIPMENTNAME": "EQ-1",
+                "PRODUCTLINENAME": "PKG-A",
+                "PJ_TYPE": "TYPE-A",
+                "LOSSREASONNAME": "001_A",
+                "LOSSREASON_CODE": "001_A",
+                "SCRAP_OBJECTTYPE": "LOT",
+                "MOVEIN_QTY": 100,
+                "REJECT_TOTAL_QTY": 30,
+                "DEFECT_QTY": 0,
+            },
+            {
+                "CONTAINERID": "C2",
+                "CONTAINERNAME": "LOT-002",
+                "TXN_DAY": pd.Timestamp("2026-02-01"),
+                "TXN_TIME": pd.Timestamp("2026-02-01 09:00:00"),
+                "WORKCENTERSEQUENCE_GROUP": 1,
+                "WORKCENTER_GROUP": "WB",
+                "WORKCENTERNAME": "WB-B",
+                "SPECNAME": "SPEC-B",
+                "WORKFLOWNAME": "WF-B",
+                "PRIMARY_EQUIPMENTNAME": "EQ-2",
+                "EQUIPMENTNAME": "EQ-2",
+                "PRODUCTLINENAME": "PKG-B",
+                "PJ_TYPE": "TYPE-B",
+                "LOSSREASONNAME": "001_A",
+                "LOSSREASON_CODE": "001_A",
+                "SCRAP_OBJECTTYPE": "LOT",
+                "MOVEIN_QTY": 100,
+                "REJECT_TOTAL_QTY": 20,
+                "DEFECT_QTY": 0,
+            },
+            {
+                "CONTAINERID": "C3",
+                "CONTAINERNAME": "LOT-003",
+                "TXN_DAY": pd.Timestamp("2026-02-01"),
+                "TXN_TIME": pd.Timestamp("2026-02-01 10:00:00"),
+                "WORKCENTERSEQUENCE_GROUP": 1,
+                "WORKCENTER_GROUP": "WB",
+                "WORKCENTERNAME": "WB-C",
+                "SPECNAME": "SPEC-C",
+                "WORKFLOWNAME": "WF-C",
+                "PRIMARY_EQUIPMENTNAME": "EQ-3",
+                "EQUIPMENTNAME": "EQ-3",
+                "PRODUCTLINENAME": "PKG-C",
+                "PJ_TYPE": "TYPE-C",
+                "LOSSREASONNAME": "002_B",
+                "LOSSREASON_CODE": "002_B",
+                "SCRAP_OBJECTTYPE": "LOT",
+                "MOVEIN_QTY": 100,
+                "REJECT_TOTAL_QTY": 10,
+                "DEFECT_QTY": 0,
+            },
+        ]
+    )
+
+
+def test_apply_view_and_export_share_same_pareto_multi_select_filter(monkeypatch):
+    df = _build_detail_filter_df()
+
+    monkeypatch.setattr(cache_svc, "_get_cached_df", lambda _query_id: df)
+    monkeypatch.setattr(
+        "mes_dashboard.services.scrap_reason_exclusion_cache.get_excluded_reasons",
+        lambda: [],
+    )
+
+    view_result = cache_svc.apply_view(
+        query_id="qid-2",
+        pareto_dimension="type",
+        pareto_values=["TYPE-A", "TYPE-C"],
+    )
+    export_rows = cache_svc.export_csv_from_cache(
+        query_id="qid-2",
+        pareto_dimension="type",
+        pareto_values=["TYPE-A", "TYPE-C"],
+    )
+
+    detail_items = view_result["detail"]["items"]
+    detail_types = {item["PJ_TYPE"] for item in detail_items}
+    exported_types = {row["TYPE"] for row in export_rows}
+
+    assert view_result["detail"]["pagination"]["total"] == 2
+    assert detail_types == {"TYPE-A", "TYPE-C"}
+    assert exported_types == {"TYPE-A", "TYPE-C"}
+    assert len(export_rows) == 2
+
+
+def test_apply_view_rejects_invalid_pareto_dimension(monkeypatch):
+    df = _build_detail_filter_df()
+    monkeypatch.setattr(cache_svc, "_get_cached_df", lambda _query_id: df)
+
+    with pytest.raises(ValueError, match="不支援的 pareto_dimension"):
+        cache_svc.apply_view(
+            query_id="qid-3",
+            pareto_dimension="invalid-dimension",
+            pareto_values=["X"],
+        )
+
+    with pytest.raises(ValueError, match="不支援的 pareto_dimension"):
+        cache_svc.export_csv_from_cache(
+            query_id="qid-3",
+            pareto_dimension="invalid-dimension",
+            pareto_values=["X"],
+        )

tests/test_reject_history_routes.py

@@ -218,6 +218,121 @@ class TestRejectHistoryApiRoutes(TestRejectHistoryRoutesBase):
         _, kwargs = mock_pareto.call_args
         self.assertEqual(kwargs['dimension'], 'equipment')
 
+    @patch('mes_dashboard.routes.reject_history_routes.query_dimension_pareto')
+    @patch('mes_dashboard.routes.reject_history_routes.compute_dimension_pareto')
+    def test_dimension_pareto_with_query_id_passes_policy_flags_to_cached_path(
+        self,
+        mock_cached_pareto,
+        mock_sql_pareto,
+    ):
+        mock_cached_pareto.return_value = {
+            'items': [{'reason': 'PKG-A', 'metric_value': 100, 'pct': 100, 'cumPct': 100}],
+            'dimension': 'package',
+            'metric_mode': 'reject_total',
+            'pareto_scope': 'all',
+        }
+
+        response = self.client.get(
+            '/api/reject-history/reason-pareto'
+            '?start_date=2026-02-01'
+            '&end_date=2026-02-07'
+            '&query_id=qid-001'
+            '&dimension=package'
+            '&pareto_scope=all'
+            '&include_excluded_scrap=true'
+            '&exclude_material_scrap=false'
+            '&exclude_pb_diode=false'
+        )
+        payload = json.loads(response.data)
+
+        self.assertEqual(response.status_code, 200)
+        self.assertTrue(payload['success'])
+        _, kwargs = mock_cached_pareto.call_args
+        self.assertEqual(kwargs['query_id'], 'qid-001')
+        self.assertEqual(kwargs['dimension'], 'package')
+        self.assertEqual(kwargs['pareto_scope'], 'all')
+        self.assertIs(kwargs['include_excluded_scrap'], True)
+        self.assertIs(kwargs['exclude_material_scrap'], False)
+        self.assertIs(kwargs['exclude_pb_diode'], False)
+        mock_sql_pareto.assert_not_called()
+
+    @patch('mes_dashboard.routes.reject_history_routes.apply_view')
+    def test_view_passes_pareto_multi_select_filters(self, mock_apply_view):
+        mock_apply_view.return_value = {
+            'analytics_raw': [],
+            'summary': {},
+            'detail': {
+                'items': [],
+                'pagination': {'page': 1, 'perPage': 50, 'total': 0, 'totalPages': 1},
+            },
+        }
+
+        response = self.client.get(
+            '/api/reject-history/view'
+            '?query_id=qid-001'
+            '&pareto_dimension=workflow'
+            '&pareto_values=WF-A'
+            '&pareto_values=WF-B'
+        )
+        payload = json.loads(response.data)
+
+        self.assertEqual(response.status_code, 200)
+        self.assertTrue(payload['success'])
+        _, kwargs = mock_apply_view.call_args
+        self.assertEqual(kwargs['pareto_dimension'], 'workflow')
+        self.assertEqual(kwargs['pareto_values'], ['WF-A', 'WF-B'])
+
+    @patch('mes_dashboard.routes.reject_history_routes.apply_view')
+    def test_view_invalid_pareto_dimension_returns_400(self, mock_apply_view):
+        response = self.client.get(
+            '/api/reject-history/view'
+            '?query_id=qid-001'
+            '&pareto_dimension=invalid'
+            '&pareto_values=X'
+        )
+        payload = json.loads(response.data)
+
+        self.assertEqual(response.status_code, 400)
+        self.assertFalse(payload['success'])
+        mock_apply_view.assert_not_called()
+
+    @patch('mes_dashboard.routes.reject_history_routes._list_to_csv')
+    @patch('mes_dashboard.routes.reject_history_routes.export_csv_from_cache')
+    def test_export_cached_passes_pareto_multi_select_filters(
+        self,
+        mock_export_cached,
+        mock_list_to_csv,
+    ):
+        mock_export_cached.return_value = [{'LOT': 'LOT-001'}]
+        mock_list_to_csv.return_value = iter(['A,B\n', '1,2\n'])
+
+        response = self.client.get(
+            '/api/reject-history/export-cached'
+            '?query_id=qid-001'
+            '&pareto_dimension=type'
+            '&pareto_values=TYPE-A'
+            '&pareto_values=TYPE-C'
+        )
+
+        self.assertEqual(response.status_code, 200)
+        _, kwargs = mock_export_cached.call_args
+        self.assertEqual(kwargs['pareto_dimension'], 'type')
+        self.assertEqual(kwargs['pareto_values'], ['TYPE-A', 'TYPE-C'])
+
+    @patch('mes_dashboard.routes.reject_history_routes.export_csv_from_cache')
+    def test_export_cached_invalid_pareto_dimension_returns_400(self, mock_export_cached):
+        response = self.client.get(
+            '/api/reject-history/export-cached'
+            '?query_id=qid-001'
+            '&pareto_dimension=invalid'
+            '&pareto_values=TYPE-A'
+        )
+        payload = json.loads(response.data)
+
+        self.assertEqual(response.status_code, 400)
+        self.assertFalse(payload['success'])
+        mock_export_cached.assert_not_called()
+
     @patch('mes_dashboard.routes.reject_history_routes.query_list')
     @patch('mes_dashboard.core.rate_limit.check_and_record', return_value=(True, 6))
     def test_list_rate_limited_returns_429(self, _mock_limit, mock_list):