feat(query-tool): align lineage merge semantics and add tree exports

2026-02-23 07:07:36 +08:00
parent 3dc7886c90
commit 57a0b780b1
11 changed files with 789 additions and 132 deletions
--- a/frontend/src/query-tool/App.vue
+++ b/frontend/src/query-tool/App.vue
@@ -481,6 +481,7 @@ watch(
          :name-map="lotLineage.nameMap"
          :node-meta-map="lotLineage.nodeMetaMap"
          :edge-type-map="lotLineage.edgeTypeMap"
+          :graph-edges="lotLineage.graphEdges.value"
          :leaf-serials="lotLineage.leafSerials"
          :lineage-loading="lotLineage.lineageLoading.value"
          :selected-container-ids="lotLineage.selectedContainerIds.value"
@@ -520,6 +521,7 @@ watch(
          :name-map="reverseLineage.nameMap"
          :node-meta-map="reverseLineage.nodeMetaMap"
          :edge-type-map="reverseLineage.edgeTypeMap"
+          :graph-edges="reverseLineage.graphEdges.value"
          :leaf-serials="reverseLineage.leafSerials"
          :lineage-loading="reverseLineage.lineageLoading.value"
          :selected-container-ids="reverseLineage.selectedContainerIds.value"
--- a/frontend/src/query-tool/components/LineageTreeChart.vue
+++ b/frontend/src/query-tool/components/LineageTreeChart.vue
@@ -1,5 +1,5 @@
 <script setup>
-import { computed, ref } from 'vue';
+import { computed, nextTick, ref } from 'vue';

 import VChart from 'vue-echarts';
 import { use } from 'echarts/core';
@@ -7,6 +7,7 @@ import { CanvasRenderer } from 'echarts/renderers';
 import { TreeChart } from 'echarts/charts';
 import { TooltipComponent } from 'echarts/components';

+import ExportButton from './ExportButton.vue';
 import { normalizeText } from '../utils/values.js';

 use([CanvasRenderer, TreeChart, TooltipComponent]);
@@ -30,6 +31,20 @@ const EDGE_STYLES = Object.freeze({
  default: { color: '#CBD5E1', type: 'solid', width: 1.5 },
 });

+const EDGE_TAGS = Object.freeze({
+  split_from: { forward: '←拆', reverse: '→拆' },
+  merge_source: { forward: '←併', reverse: '→併' },
+  wafer_origin: { forward: '←晶', reverse: '→晶' },
+  gd_rework_source: { forward: '←重', reverse: '→重' },
+});
+
+const RELATION_TYPE_LABELS = Object.freeze({
+  split_from: '拆批',
+  merge_source: '併批',
+  wafer_origin: '晶圓來源',
+  gd_rework_source: '重工來源',
+});
+
 const LABEL_BASE_STYLE = Object.freeze({
  backgroundColor: 'rgba(255,255,255,0.92)',
  borderRadius: 3,
@@ -57,6 +72,10 @@ const props = defineProps({
    type: Object,
    default: () => new Map(),
  },
+  graphEdges: {
+    type: Array,
+    default: () => [],
+  },
  leafSerials: {
    type: Object,
    default: () => new Map(),
@@ -92,6 +111,10 @@ const props = defineProps({
 });

 const emit = defineEmits(['select-nodes']);
+const chartRef = ref(null);
+const exportingTreeImage = ref(false);
+const exportingRelationCsv = ref(false);
+const exportErrorMessage = ref('');

 const selectedSet = computed(() => new Set(props.selectedContainerIds.map(normalizeText).filter(Boolean)));

@@ -109,6 +132,47 @@ const allSerialNames = computed(() => {
  return names;
 });

+const relationRows = computed(() => {
+  const rows = [];
+  const seen = new Set();
+  const source = Array.isArray(props.graphEdges) ? props.graphEdges : [];
+
+  source.forEach((edge) => {
+    if (!edge || typeof edge !== 'object') {
+      return;
+    }
+    const fromCid = normalizeText(edge.from_cid);
+    const toCid = normalizeText(edge.to_cid);
+    const edgeType = normalizeText(edge.edge_type);
+    if (!fromCid || !toCid || !edgeType) {
+      return;
+    }
+
+    const key = `${fromCid}->${toCid}:${edgeType}`;
+    if (seen.has(key)) {
+      return;
+    }
+    seen.add(key);
+
+    rows.push({
+      key,
+      fromCid,
+      toCid,
+      fromName: normalizeText(props.nameMap?.get?.(fromCid) || fromCid),
+      toName: normalizeText(props.nameMap?.get?.(toCid) || toCid),
+      edgeType,
+      edgeLabel: RELATION_TYPE_LABELS[edgeType] || edgeType,
+    });
+  });
+
+  rows.sort((a, b) => (
+    a.edgeLabel.localeCompare(b.edgeLabel, 'zh-Hant')
+    || a.fromName.localeCompare(b.fromName, 'zh-Hant')
+    || a.toName.localeCompare(b.toName, 'zh-Hant')
+  ));
+  return rows;
+});
+
 function detectNodeType(cid, entry, serials) {
  const explicitType = normalizeText(props.nodeMetaMap?.get?.(cid)?.node_type).toUpperCase();
  if (explicitType === 'WAFER') {
@@ -137,17 +201,62 @@ function detectNodeType(cid, entry, serials) {
  return 'branch';
 }

-function lookupEdgeType(parentCid, childCid) {
+function lookupEdgeMeta(parentCid, childCid) {
  const parent = normalizeText(parentCid);
  const child = normalizeText(childCid);
  if (!parent || !child) {
-    return '';
+    return { edgeType: '', reversed: false };
  }
  const direct = normalizeText(props.edgeTypeMap?.get?.(`${parent}->${child}`));
  if (direct) {
-    return direct;
+    return { edgeType: direct, reversed: false };
  }
-  return normalizeText(props.edgeTypeMap?.get?.(`${child}->${parent}`));
+  const reverse = normalizeText(props.edgeTypeMap?.get?.(`${child}->${parent}`));
+  if (reverse) {
+    return { edgeType: reverse, reversed: true };
+  }
+  return { edgeType: '', reversed: false };
+}
+
+function relationTag(edgeType, reversed) {
+  const spec = EDGE_TAGS[normalizeText(edgeType)];
+  if (!spec) {
+    return '';
+  }
+  return reversed ? spec.reverse : spec.forward;
+}
+
+function relationSentence({ edgeType, reversed, leftName, currentName }) {
+  const left = normalizeText(leftName);
+  const current = normalizeText(currentName);
+  if (!edgeType || !left || !current) {
+    return '';
+  }
+
+  if (edgeType === 'split_from') {
+    return reversed
+      ? `${left} 拆自 ${current}`
+      : `${current} 拆自 ${left}`;
+  }
+  if (edgeType === 'merge_source') {
+    return reversed
+      ? `${left} 由 ${current} 併批而來`
+      : `${current} 由 ${left} 併批而來`;
+  }
+  if (edgeType === 'wafer_origin') {
+    return reversed
+      ? `${left} 對應 Wafer ${current}`
+      : `${current} 源自 Wafer ${left}`;
+  }
+  if (edgeType === 'gd_rework_source') {
+    return reversed
+      ? `${left} 由 ${current} 重工而來`
+      : `${current} 由 ${left} 重工而來`;
+  }
+
+  return reversed
+    ? `${left} 與 ${current}（${edgeType}）`
+    : `${current} 與 ${left}（${edgeType}）`;
 }

 function buildNode(cid, visited, parentCid = '') {
@@ -194,12 +303,24 @@ function buildNode(cid, visited, parentCid = '') {
    && allSerialNames.value.has(name);
  const effectiveType = isSerialLike ? 'serial' : nodeType;
  const color = NODE_COLORS[effectiveType] || NODE_COLORS.branch;
-  const incomingEdgeType = lookupEdgeType(parentCid, id);
+  const incomingMeta = lookupEdgeMeta(parentCid, id);
+  const incomingEdgeType = incomingMeta.edgeType;
+  const incomingEdgeReversed = incomingMeta.reversed;
  const incomingEdgeStyle = EDGE_STYLES[incomingEdgeType] || EDGE_STYLES.default;
+  const parentName = normalizeText(props.nameMap?.get?.(normalizeText(parentCid)) || parentCid);
+  const shortTag = relationTag(incomingEdgeType, incomingEdgeReversed);
+  const displayLabel = shortTag ? `${shortTag} ${name}` : name;

  return {
    name,
-    value: { cid: id, type: effectiveType, edgeType: incomingEdgeType || '' },
+    value: {
+      cid: id,
+      type: effectiveType,
+      edgeType: incomingEdgeType || '',
+      edgeReversed: incomingEdgeReversed,
+      parentName,
+      relationTag: shortTag,
+    },
    children,
    itemStyle: {
      color,
@@ -213,6 +334,7 @@ function buildNode(cid, visited, parentCid = '') {
      fontWeight: isSelected ? 'bold' : 'normal',
      fontSize: isSerialLike ? 10 : 11,
      color: isSelected ? '#1E3A8A' : (isSerialLike ? '#64748B' : '#334155'),
+      formatter: () => displayLabel,
    },
    symbol: isSerialLike ? 'diamond' : (nodeType === 'root' ? 'roundRect' : 'circle'),
    symbolSize: isSerialLike ? 6 : (nodeType === 'root' ? 14 : 10),
@@ -226,9 +348,8 @@ const treesData = computed(() => {
    return [];
  }

-  const globalVisited = new Set();
  return props.treeRoots
-    .map((rootId) => buildNode(rootId, globalVisited))
+    .map((rootId) => buildNode(rootId, new Set()))
    .filter(Boolean);
 });

@@ -247,6 +368,73 @@ const chartHeight = computed(() => {
  return `${base}px`;
 });

+function countGraphemes(text) {
+  return Array.from(normalizeText(text)).length;
+}
+
+function walkTreeMetrics(node, depth, metrics) {
+  if (!node || typeof node !== 'object') {
+    return;
+  }
+
+  metrics.maxDepth = Math.max(metrics.maxDepth, depth);
+  const relationTag = normalizeText(node?.value?.relationTag);
+  const labelText = relationTag
+    ? `${relationTag} ${normalizeText(node.name)}`
+    : normalizeText(node.name);
+  metrics.maxLabelChars = Math.max(metrics.maxLabelChars, countGraphemes(labelText));
+
+  const children = Array.isArray(node.children) ? node.children : [];
+  children.forEach((child) => walkTreeMetrics(child, depth + 1, metrics));
+}
+
+const treeMetrics = computed(() => {
+  const metrics = {
+    maxDepth: 1,
+    maxLabelChars: 12,
+  };
+
+  treesData.value.forEach((tree) => walkTreeMetrics(tree, 1, metrics));
+  return metrics;
+});
+
+function clampNumber(value, min, max) {
+  return Math.max(min, Math.min(max, value));
+}
+
+const labelWidthPx = computed(() => clampNumber(
+  treeMetrics.value.maxLabelChars * 7 + 14,
+  120,
+  360,
+));
+
+const depthSpacingPx = computed(() => clampNumber(
+  88 + Math.round(treeMetrics.value.maxLabelChars * 1.4),
+  96,
+  132,
+));
+
+const rootLabelWidthPx = computed(() => {
+  const maxChars = props.treeRoots.reduce((max, rootCid) => {
+    const rootId = normalizeText(rootCid);
+    const rootName = normalizeText(props.nameMap?.get?.(rootId) || rootId);
+    return Math.max(max, countGraphemes(rootName));
+  }, 8);
+  return clampNumber(maxChars * 7 + 24, 72, 260);
+});
+
+const chartLayout = computed(() => {
+  const left = rootLabelWidthPx.value;
+  const right = labelWidthPx.value + 18;
+  const depthSpacing = depthSpacingPx.value;
+  const depthCount = Math.max(1, treeMetrics.value.maxDepth - 1);
+  const requiredWidth = left + right + (depthCount * depthSpacing) + 120;
+  const minWidth = clampNumber(requiredWidth, 760, 3000);
+  return { left, right, minWidth };
+});
+
+const chartMinWidth = computed(() => `${chartLayout.value.minWidth}px`);
+
 const TREE_SERIES_DEFAULTS = Object.freeze({
  type: 'tree',
  layout: 'orthogonal',
@@ -262,9 +450,7 @@ const TREE_SERIES_DEFAULTS = Object.freeze({
    distance: 6,
    fontSize: 11,
    color: '#334155',
-    overflow: 'truncate',
-    ellipsis: '…',
-    width: 160,
+    overflow: 'break',
    ...LABEL_BASE_STYLE,
  },
  lineStyle: {
@@ -315,7 +501,17 @@ const chartOption = computed(() => {
        lines.push('<span style="color:#10B981">中間節點</span>');
      }
      if (val.edgeType) {
-        lines.push(`<span style="color:#94A3B8;font-size:11px">關係: ${val.edgeType}</span>`);
+        const sentence = relationSentence({
+          edgeType: val.edgeType,
+          reversed: Boolean(val.edgeReversed),
+          leftName: val.parentName,
+          currentName: data.name,
+        });
+        if (sentence) {
+          lines.push(`<span style="color:#0F172A;font-size:11px">讀法: ${sentence}</span>`);
+        }
+        const directionTag = val.relationTag ? `（${val.relationTag}）` : '';
+        lines.push(`<span style="color:#94A3B8;font-size:11px">關係型別: ${val.edgeType}${directionTag}</span>`);
      }
      if (val.cid && val.cid !== data.name) {
        lines.push(`<span style="color:#94A3B8;font-size:11px">CID: ${val.cid}</span>`);
@@ -330,10 +526,14 @@ const chartOption = computed(() => {
      tooltip,
      series: [{
        ...TREE_SERIES_DEFAULTS,
-        left: 40,
-        right: 180,
+        left: chartLayout.value.left,
+        right: chartLayout.value.right,
        top: 20,
        bottom: 20,
+        label: {
+          ...TREE_SERIES_DEFAULTS.label,
+          width: labelWidthPx.value,
+        },
        data: [trees[0]],
      }],
    };
@@ -355,10 +555,14 @@ const chartOption = computed(() => {

    return {
      ...TREE_SERIES_DEFAULTS,
-      left: 40,
-      right: 180,
+      left: chartLayout.value.left,
+      right: chartLayout.value.right,
      top: `${topPercent}%`,
      height: `${heightPercent}%`,
+      label: {
+        ...TREE_SERIES_DEFAULTS.label,
+        width: labelWidthPx.value,
+      },
      data: [tree],
    };
  });
@@ -384,6 +588,122 @@ function handleNodeClick(params) {
  }
  emit('select-nodes', [...current]);
 }
+
+function buildExportFileName(ext = 'png') {
+  const now = new Date();
+  const ts = [
+    String(now.getFullYear()).padStart(4, '0'),
+    String(now.getMonth() + 1).padStart(2, '0'),
+    String(now.getDate()).padStart(2, '0'),
+    String(now.getHours()).padStart(2, '0'),
+    String(now.getMinutes()).padStart(2, '0'),
+    String(now.getSeconds()).padStart(2, '0'),
+  ].join('');
+  const rawBase = normalizeText(props.title) || 'lineage_tree';
+  const safeBase = rawBase
+    .replace(/[\\/:*?"<>|]/g, '-')
+    .replace(/\s+/g, '_');
+  return `${safeBase}_${ts}.${ext}`;
+}
+
+function triggerDownloadByUrl(url, filename) {
+  const link = document.createElement('a');
+  link.href = url;
+  link.download = filename;
+  link.rel = 'noopener';
+  document.body.appendChild(link);
+  link.click();
+  document.body.removeChild(link);
+}
+
+function getChartInstance() {
+  const chartComponent = chartRef.value;
+  if (!chartComponent) {
+    return null;
+  }
+  if (typeof chartComponent.getEchartsInstance === 'function') {
+    return chartComponent.getEchartsInstance();
+  }
+  return chartComponent.chart || null;
+}
+
+function escapeCsvField(value) {
+  const text = normalizeText(value);
+  if (text === '') {
+    return '';
+  }
+  if (/[",\n\r]/.test(text)) {
+    return `"${text.replace(/"/g, '""')}"`;
+  }
+  return text;
+}
+
+function buildCsvContent() {
+  const headers = ['來源批次', '來源CID', '目標批次', '目標CID', '關係', '關係代碼'];
+  const lines = [headers.join(',')];
+
+  relationRows.value.forEach((row) => {
+    lines.push([
+      escapeCsvField(row.fromName),
+      escapeCsvField(row.fromCid),
+      escapeCsvField(row.toName),
+      escapeCsvField(row.toCid),
+      escapeCsvField(row.edgeLabel),
+      escapeCsvField(row.edgeType),
+    ].join(','));
+  });
+
+  return `\uFEFF${lines.join('\r\n')}`;
+}
+
+async function exportTreeAsPng() {
+  if (!hasData.value || exportingTreeImage.value) {
+    return;
+  }
+
+  exportingTreeImage.value = true;
+  exportErrorMessage.value = '';
+
+  try {
+    await nextTick();
+    const instance = getChartInstance();
+    if (!instance || typeof instance.getDataURL !== 'function') {
+      throw new Error('無法取得樹圖實例');
+    }
+
+    const dataUrl = instance.getDataURL({
+      type: 'png',
+      pixelRatio: Math.max(2, Math.min(4, window.devicePixelRatio || 2)),
+      backgroundColor: '#FFFFFF',
+    });
+    triggerDownloadByUrl(dataUrl, buildExportFileName('png'));
+  } catch (error) {
+    exportErrorMessage.value = error?.message || '樹圖匯出失敗';
+  } finally {
+    exportingTreeImage.value = false;
+  }
+}
+
+function exportRelationCsv() {
+  if (!hasData.value || exportingRelationCsv.value || relationRows.value.length === 0) {
+    return;
+  }
+
+  exportingRelationCsv.value = true;
+  exportErrorMessage.value = '';
+
+  try {
+    const csv = buildCsvContent();
+    const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' });
+    const href = URL.createObjectURL(blob);
+    triggerDownloadByUrl(href, buildExportFileName('csv'));
+    URL.revokeObjectURL(href);
+  } catch (error) {
+    exportErrorMessage.value = error?.message || '關係 CSV 匯出失敗';
+  } finally {
+    exportingRelationCsv.value = false;
+  }
+}
 </script>

 <template>
@@ -392,9 +712,25 @@ function handleNodeClick(params) {
      <div>
        <h3 class="text-sm font-semibold text-slate-800">{{ title }}</h3>
        <p class="text-xs text-slate-500">{{ description }}</p>
+        <p class="text-[11px] text-slate-500">
+          讀圖方向由左至右；節點前綴 <code>←拆/←併/←晶/←重</code> 代表本節點由左側來源而來，
+          <code>→拆/→併/→晶/→重</code> 代表左側節點由本節點而來。
+        </p>
      </div>

      <div class="flex items-center gap-3">
+        <ExportButton
+          :disabled="!hasData || loading"
+          :loading="exportingTreeImage"
+          label="匯出樹圖 PNG"
+          @click="exportTreeAsPng"
+        />
+        <ExportButton
+          :disabled="!hasData || loading || relationRows.length === 0"
+          :loading="exportingRelationCsv"
+          label="匯出關係 CSV"
+          @click="exportRelationCsv"
+        />
        <div class="flex items-center gap-2 text-[10px] text-slate-500">
          <span class="inline-flex items-center gap-1">
            <span class="inline-block size-2.5 rounded-sm" :style="{ background: NODE_COLORS.wafer }" />
@@ -422,23 +758,26 @@ function handleNodeClick(params) {
          </span>
          <span class="inline-flex items-center gap-1">
            <span class="inline-block h-0.5 w-3 bg-slate-300" />
-            split
+            split(拆批)
          </span>
          <span class="inline-flex items-center gap-1">
            <span class="inline-block h-0.5 w-3 border-t-2 border-dashed border-amber-500" />
-            merge
+            merge(併批)
          </span>
          <span class="inline-flex items-center gap-1">
            <span class="inline-block h-0.5 w-3 border-t-2 border-dotted border-blue-600" />
-            wafer
+            wafer(晶圓來源)
          </span>
          <span class="inline-flex items-center gap-1">
            <span class="inline-block h-0.5 w-3 border-t-2 border-dashed border-red-500" />
-            gd-rework
+            gd-rework(重工來源)
          </span>
        </div>
      </div>
    </div>
+    <p v-if="exportErrorMessage" class="mb-2 rounded border border-rose-200 bg-rose-50 px-2 py-1 text-xs text-rose-700">
+      {{ exportErrorMessage }}
+    </p>

    <!-- Loading overlay -->
    <div v-if="loading" class="flex items-center justify-center rounded-card border border-dashed border-stroke-soft bg-surface-muted/40 py-16">
@@ -454,16 +793,54 @@ function handleNodeClick(params) {
    </div>

    <!-- ECharts Tree -->
-    <div v-else class="relative">
+    <div v-else class="relative overflow-x-auto">
      <VChart
+        ref="chartRef"
        class="lineage-tree-chart"
-        :style="{ height: chartHeight }"
+        :style="{ height: chartHeight, width: '100%', minWidth: chartMinWidth }"
        :option="chartOption"
        autoresize
        @click="handleNodeClick"
      />
    </div>

+    <details v-if="relationRows.length > 0" class="mt-3 rounded-card border border-stroke-soft bg-surface-muted/50 px-3 py-2">
+      <summary class="cursor-pointer text-xs font-medium text-slate-700">
+        關係清單（{{ relationRows.length }}）
+      </summary>
+      <div class="mt-2 max-h-56 overflow-auto rounded border border-stroke-soft bg-white">
+        <table class="min-w-full text-left text-xs text-slate-700">
+          <thead class="bg-slate-50 text-[11px] text-slate-500">
+            <tr>
+              <th class="px-2 py-1.5 font-medium">來源批次</th>
+              <th class="px-2 py-1.5 font-medium">目標批次</th>
+              <th class="px-2 py-1.5 font-medium">關係</th>
+            </tr>
+          </thead>
+          <tbody>
+            <tr
+              v-for="row in relationRows.slice(0, 200)"
+              :key="row.key"
+              class="border-t border-slate-100"
+            >
+              <td class="px-2 py-1.5 font-mono text-[11px]">
+                {{ row.fromName }}
+              </td>
+              <td class="px-2 py-1.5 font-mono text-[11px]">
+                {{ row.toName }}
+              </td>
+              <td class="px-2 py-1.5 text-[11px]">
+                {{ row.edgeLabel }}
+              </td>
+            </tr>
+          </tbody>
+        </table>
+      </div>
+      <p v-if="relationRows.length > 200" class="mt-1 text-[11px] text-slate-500">
+        僅顯示前 200 筆，請搭配上方樹圖與節點點選進一步縮小範圍。
+      </p>
+    </details>
+
    <!-- Not found warning -->
    <div v-if="notFound.length > 0" class="mt-3 rounded-card border border-state-warning/40 bg-amber-50 px-3 py-2 text-xs text-amber-700">
      未命中：{{ notFound.join(', ') }}
--- a/frontend/src/query-tool/components/LotTraceView.vue
+++ b/frontend/src/query-tool/components/LotTraceView.vue
@@ -56,6 +56,10 @@ const props = defineProps({
    type: Object,
    default: () => new Map(),
  },
+  graphEdges: {
+    type: Array,
+    default: () => [],
+  },
  leafSerials: {
    type: Object,
    default: () => new Map(),
@@ -154,6 +158,7 @@ const emit = defineEmits([
      :name-map="nameMap"
      :node-meta-map="nodeMetaMap"
      :edge-type-map="edgeTypeMap"
+      :graph-edges="graphEdges"
      :leaf-serials="leafSerials"
      :selected-container-ids="selectedContainerIds"
      :loading="lineageLoading"
--- a/frontend/src/query-tool/components/SerialReverseTraceView.vue
+++ b/frontend/src/query-tool/components/SerialReverseTraceView.vue
@@ -56,6 +56,10 @@ const props = defineProps({
    type: Object,
    default: () => new Map(),
  },
+  graphEdges: {
+    type: Array,
+    default: () => [],
+  },
  leafSerials: {
    type: Object,
    default: () => new Map(),
@@ -154,6 +158,7 @@ const emit = defineEmits([
      :name-map="nameMap"
      :node-meta-map="nodeMetaMap"
      :edge-type-map="edgeTypeMap"
+      :graph-edges="graphEdges"
      :leaf-serials="leafSerials"
      :selected-container-ids="selectedContainerIds"
      :loading="lineageLoading"
--- a/frontend/src/query-tool/composables/useLotLineage.js
+++ b/frontend/src/query-tool/composables/useLotLineage.js
@@ -78,6 +78,7 @@ export function useLotLineage(initial = {}) {
  const nameMap = reactive(new Map());
  const nodeMetaMap = reactive(new Map());
  const edgeTypeMap = reactive(new Map());
+  const graphEdges = ref([]);
  const leafSerials = reactive(new Map());
  const expandedNodes = ref(new Set());
  const selectedContainerId = ref(normalizeText(initial.selectedContainerId));
@@ -255,18 +256,23 @@ export function useLotLineage(initial = {}) {
    }

    edgeTypeMap.clear();
+    const normalizedEdges = [];
    if (Array.isArray(typedEdges)) {
      typedEdges.forEach((edge) => {
        if (!edge || typeof edge !== 'object') {
          return;
        }
-        const key = edgeKey(edge.from_cid, edge.to_cid);
+        const from = normalizeText(edge.from_cid);
+        const to = normalizeText(edge.to_cid);
+        const key = edgeKey(from, to);
        const type = normalizeText(edge.edge_type);
        if (key && type) {
          edgeTypeMap.set(key, type);
+          normalizedEdges.push({ from_cid: from, to_cid: to, edge_type: type });
        }
      });
    }
+    graphEdges.value = normalizedEdges;

    // Store leaf serial numbers
    Object.entries(serialsData).forEach(([cid, serials]) => {
@@ -463,6 +469,7 @@ export function useLotLineage(initial = {}) {
    nameMap.clear();
    nodeMetaMap.clear();
    edgeTypeMap.clear();
+    graphEdges.value = [];
    leafSerials.clear();
    expandedNodes.value = new Set();
    selectedContainerIds.value = [];
@@ -508,6 +515,7 @@ export function useLotLineage(initial = {}) {
    nameMap,
    nodeMetaMap,
    edgeTypeMap,
+    graphEdges,
    leafSerials,
    expandedNodes,
    selectedContainerId,
--- a/frontend/src/query-tool/composables/useReverseLineage.js
+++ b/frontend/src/query-tool/composables/useReverseLineage.js
@@ -71,6 +71,31 @@ function edgeKey(fromCid, toCid) {
  return `${from}->${to}`;
 }

+function collectAncestors(parentMap, startCid) {
+  const start = normalizeText(startCid);
+  if (!start) {
+    return new Set();
+  }
+
+  const visited = new Set();
+  const stack = [start];
+
+  while (stack.length > 0) {
+    const current = stack.pop();
+    const parents = Array.isArray(parentMap?.[current]) ? parentMap[current] : [];
+    parents.forEach((parentId) => {
+      const parent = normalizeText(parentId);
+      if (!parent || visited.has(parent)) {
+        return;
+      }
+      visited.add(parent);
+      stack.push(parent);
+    });
+  }
+
+  return visited;
+}
+
 export function useReverseLineage(initial = {}) {
  ensureMesApiAvailable();

@@ -78,6 +103,7 @@ export function useReverseLineage(initial = {}) {
  const nameMap = reactive(new Map());
  const nodeMetaMap = reactive(new Map());
  const edgeTypeMap = reactive(new Map());
+  const graphEdges = ref([]);
  const leafSerials = reactive(new Map());
  const selectedContainerId = ref(normalizeText(initial.selectedContainerId));
  const selectedContainerIds = ref(
@@ -227,6 +253,81 @@ export function useReverseLineage(initial = {}) {
    return normalized;
  }

+  function deriveDisplayRoots(candidateRoots, parentMap) {
+    const roots = uniqueValues((candidateRoots || []).map((cid) => normalizeText(cid)).filter(Boolean));
+    if (roots.length <= 1) {
+      return roots;
+    }
+
+    const candidateSet = new Set(roots);
+    const groupedRoots = [];
+    const groupsByInput = new Map();
+    const assigned = new Set();
+
+    // Keep reduction within each query input token to avoid cross-token interference.
+    rootRows.value.forEach((row) => {
+      const cid = extractContainerId(row);
+      if (!candidateSet.has(cid)) {
+        return;
+      }
+
+      const inputToken = normalizeText(row?.input_value || row?.inputValue || row?.INPUT_VALUE);
+      const key = inputToken || `__${cid}`;
+
+      if (!groupsByInput.has(key)) {
+        groupsByInput.set(key, []);
+        groupedRoots.push(groupsByInput.get(key));
+      }
+
+      const group = groupsByInput.get(key);
+      if (!group.includes(cid)) {
+        group.push(cid);
+        assigned.add(cid);
+      }
+    });
+
+    // Roots not found in rootRows still need a standalone group.
+    roots.forEach((cid) => {
+      if (assigned.has(cid)) {
+        return;
+      }
+      groupedRoots.push([cid]);
+    });
+
+    const reduced = [];
+
+    groupedRoots.forEach((group) => {
+      if (group.length <= 1) {
+        const only = group[0];
+        if (only && !reduced.includes(only)) {
+          reduced.push(only);
+        }
+        return;
+      }
+
+      const ancestorCache = new Map();
+      const getAncestors = (cid) => {
+        if (!ancestorCache.has(cid)) {
+          ancestorCache.set(cid, collectAncestors(parentMap, cid));
+        }
+        return ancestorCache.get(cid);
+      };
+
+      const kept = group.filter((cid) => !group.some((otherCid) => (
+        otherCid !== cid && getAncestors(otherCid).has(cid)
+      )));
+
+      const finalGroup = kept.length > 0 ? kept : group;
+      finalGroup.forEach((cid) => {
+        if (cid && !reduced.includes(cid)) {
+          reduced.push(cid);
+        }
+      });
+    });
+
+    return reduced;
+  }
+
  function populateReverseTree(payload, requestedRoots = []) {
    const parentMap = normalizeParentMap(payload);
    const names = payload?.names;
@@ -256,18 +357,23 @@ export function useReverseLineage(initial = {}) {
    }

    edgeTypeMap.clear();
+    const normalizedEdges = [];
    if (Array.isArray(typedEdges)) {
      typedEdges.forEach((edge) => {
        if (!edge || typeof edge !== 'object') {
          return;
        }
-        const key = edgeKey(edge.from_cid, edge.to_cid);
+        const from = normalizeText(edge.from_cid);
+        const to = normalizeText(edge.to_cid);
+        const key = edgeKey(from, to);
        const type = normalizeText(edge.edge_type);
        if (key && type) {
          edgeTypeMap.set(key, type);
+          normalizedEdges.push({ from_cid: from, to_cid: to, edge_type: type });
        }
      });
    }
+    graphEdges.value = normalizedEdges;

    Object.entries(parentMap).forEach(([childId, parentIds]) => {
      patchEntry(childId, {
@@ -317,7 +423,7 @@ export function useReverseLineage(initial = {}) {
      }
    });

-    treeRoots.value = roots;
+    treeRoots.value = deriveDisplayRoots(roots, parentMap);
  }

  async function fetchLineage(containerIds, { force = false } = {}) {
@@ -392,6 +498,7 @@ export function useReverseLineage(initial = {}) {
    nameMap.clear();
    nodeMetaMap.clear();
    edgeTypeMap.clear();
+    graphEdges.value = [];
    leafSerials.clear();
    rootRows.value = [];
    rootContainerIds.value = [];
@@ -416,6 +523,7 @@ export function useReverseLineage(initial = {}) {
    nameMap,
    nodeMetaMap,
    edgeTypeMap,
+    graphEdges,
    leafSerials,
    selectedContainerId,
    selectedContainerIds,
--- a/src/mes_dashboard/services/lineage_engine.py
+++ b/src/mes_dashboard/services/lineage_engine.py
@@ -90,7 +90,6 @@ def _build_parent_map(
    child_to_parent: Dict[str, str],
    merge_child_to_parent: Dict[str, str],
    merge_source_map: Dict[str, List[str]],
-    cid_to_name: Dict[str, str],
 ) -> tuple:
    """Build per-node direct parent lists and merge edge lists.

@@ -98,6 +97,9 @@ def _build_parent_map(
        (parent_map, merge_edges) where:
        - parent_map: {child_cid: [direct_parent_cids]}
        - merge_edges: {child_cid: [merge_source_cids]}
+
+    Notes:
+        merge_source_map is keyed by target/child CID.
    """
    parent_map: Dict[str, List[str]] = defaultdict(list)
    merge_edges: Dict[str, List[str]] = defaultdict(list)
@@ -109,17 +111,18 @@ def _build_parent_map(
        if parent not in parent_map[child]:
            parent_map[child].append(parent)

-    if merge_source_map and cid_to_name:
-        name_to_cids: Dict[str, List[str]] = defaultdict(list)
-        for cid, name in cid_to_name.items():
-            name_to_cids[name].append(cid)
-
-        for name, source_cids in merge_source_map.items():
-            for owner_cid in name_to_cids.get(name, []):
-                for source_cid in source_cids:
-                    if source_cid != owner_cid and source_cid not in parent_map[owner_cid]:
-                        parent_map[owner_cid].append(source_cid)
-                        merge_edges[owner_cid].append(source_cid)
+    if merge_source_map:
+        for owner_cid, source_cids in merge_source_map.items():
+            child = _safe_str(owner_cid)
+            if not child:
+                continue
+            for source_cid in source_cids:
+                source = _safe_str(source_cid)
+                if not source or source == child:
+                    continue
+                if source not in parent_map[child]:
+                    parent_map[child].append(source)
+                    merge_edges[child].append(source)

    return dict(parent_map), dict(merge_edges)

@@ -361,23 +364,23 @@ class LineageEngine:

    @staticmethod
    def resolve_merge_sources(
-        container_names: List[str],
+        target_cids: List[str],
    ) -> Dict[str, List[str]]:
-        """Resolve merge source lots from FINISHEDNAME."""
-        normalized_names = _normalize_list(container_names)
-        if not normalized_names:
+        """Resolve merge source lots by target LOT CID (COMBINE.LOTID)."""
+        normalized_target_cids = _normalize_list(target_cids)
+        if not normalized_target_cids:
            return {}

        result: Dict[str, Set[str]] = defaultdict(set)

-        for i in range(0, len(normalized_names), ORACLE_IN_BATCH_SIZE):
-            batch = normalized_names[i:i + ORACLE_IN_BATCH_SIZE]
+        for i in range(0, len(normalized_target_cids), ORACLE_IN_BATCH_SIZE):
+            batch = normalized_target_cids[i:i + ORACLE_IN_BATCH_SIZE]
            builder = QueryBuilder()
-            builder.add_in_condition("ca.FINISHEDNAME", batch)
+            builder.add_in_condition("ca.LOTID", batch)

            sql = SQLLoader.load_with_params(
                "lineage/merge_sources",
-                FINISHED_NAME_FILTER=builder.get_conditions_sql(),
+                TARGET_CID_FILTER=builder.get_conditions_sql(),
            )

            df = read_sql_df(sql, builder.params)
@@ -385,16 +388,16 @@ class LineageEngine:
                continue

            for _, row in df.iterrows():
-                finished_name = _safe_str(row.get("FINISHEDNAME"))
+                target_cid = _safe_str(row.get("FINISHED_CID"))
                source_cid = _safe_str(row.get("SOURCE_CID"))
-                if not finished_name or not source_cid:
+                if not target_cid or not source_cid or source_cid == target_cid:
                    continue
-                result[finished_name].add(source_cid)
+                result[target_cid].add(source_cid)

        mapped = {k: sorted(v) for k, v in result.items()}
        logger.info(
-            "Merge source resolution completed: finished_names=%s, mapped=%s",
-            len(normalized_names),
+            "Merge source resolution completed: target_cids=%s, mapped=%s",
+            len(normalized_target_cids),
            len(mapped),
        )
        return mapped
@@ -565,6 +568,7 @@ class LineageEngine:
        for parent, children in split_children_map.items():
            for child in children:
                split_edges.append((parent, child, EDGE_TYPE_SPLIT))
+        split_pairs = {(parent, child) for parent, child, _ in split_edges}

        # Collect all nodes in the tree
        all_nodes: Set[str] = set(roots)
@@ -578,6 +582,26 @@ class LineageEngine:
        # Step 4: Query serial numbers for leaf nodes
        leaf_serials = LineageEngine.resolve_leaf_serials(leaf_cids) if leaf_cids else {}

+        # Step 4b: Resolve merge relations for known nodes by target CID.
+        merge_edges: List[Tuple[str, str, str]] = []
+        try:
+            merge_source_map = LineageEngine.resolve_merge_sources(list(all_nodes))
+            for target_cid, source_cids in merge_source_map.items():
+                target = _safe_str(target_cid)
+                if not target:
+                    continue
+                for source_cid in source_cids:
+                    source = _safe_str(source_cid)
+                    if not source or source == target:
+                        continue
+                    if (source, target) in split_pairs:
+                        continue
+                    merge_edges.append((source, target, EDGE_TYPE_MERGE))
+                    all_nodes.add(source)
+                    all_nodes.add(target)
+        except Exception as exc:
+            logger.warning("Forward merge enrichment skipped due to merge lookup error: %s", exc)
+
        # Step 5: Build semantic links (wafer origin / GD rework) and augment tree.
        snapshots: Dict[str, Dict[str, Optional[str]]] = {}
        semantic_edges: List[Tuple[str, str, str]] = []
@@ -614,15 +638,16 @@ class LineageEngine:
        roots = sorted([cid for cid in all_nodes if cid not in incoming])

        typed_nodes = LineageEngine._build_nodes_payload(all_nodes, snapshots, cid_to_name, wafer_ids)
-        typed_edges = _to_edge_payload(split_edges + semantic_edges)
+        typed_edges = _to_edge_payload(split_edges + merge_edges + semantic_edges)

        logger.info(
-            "Forward tree resolution completed: seeds=%s, roots=%s, nodes=%s, leaves=%s, serials=%s, semantic_edges=%s",
+            "Forward tree resolution completed: seeds=%s, roots=%s, nodes=%s, leaves=%s, serials=%s, merge_edges=%s, semantic_edges=%s",
            len(seed_cids),
            len(roots),
            len(all_nodes),
            len(leaf_cids),
            len(leaf_serials),
+            len(merge_edges),
            len(semantic_edges),
        )

@@ -686,18 +711,25 @@ class LineageEngine:
            if _safe_str(parent) and _safe_str(child)
        ]

-        all_names = [name for name in cid_to_name.values() if _safe_str(name)]
-        merge_source_map = LineageEngine.resolve_merge_sources(all_names)
+        merge_lookup_targets = sorted(
+            {
+                cid
+                for cid in (
+                    list(seed_cids)
+                    + list(child_to_parent.keys())
+                    + list(child_to_parent.values())
+                )
+                if _safe_str(cid)
+            }
+        )
+        merge_source_map = LineageEngine.resolve_merge_sources(merge_lookup_targets)
        merge_child_to_parent: Dict[str, str] = {}
        merge_source_cids_all: Set[str] = set()
        if merge_source_map:
            for seed in seed_cids:
                self_and_ancestors = ancestors[seed] | {seed}
                for cid in list(self_and_ancestors):
-                    name = cid_to_name.get(cid)
-                    if not name:
-                        continue
-                    for source_cid in merge_source_map.get(name, []):
+                    for source_cid in merge_source_map.get(cid, []):
                        if source_cid == cid or source_cid in self_and_ancestors:
                            continue
                        ancestors[seed].add(source_cid)
@@ -722,7 +754,7 @@ class LineageEngine:
                            ancestors[seed].add(parent)
                            current = parent

-        pm, me = _build_parent_map(child_to_parent, merge_child_to_parent, merge_source_map, cid_to_name)
+        pm, me = _build_parent_map(child_to_parent, merge_child_to_parent, merge_source_map)

        for child, parent in merge_child_to_parent.items():
            if _safe_str(parent) and _safe_str(child):
--- a/src/mes_dashboard/services/query_tool_service.py
+++ b/src/mes_dashboard/services/query_tool_service.py
@@ -503,46 +503,126 @@ def _resolve_by_gd_lot_id(gd_lot_ids: List[str]) -> Dict[str, Any]:


 def _resolve_by_serial_number(serial_numbers: List[str]) -> Dict[str, Any]:
-    """Resolve serial numbers (FINISHEDNAME) to CONTAINERID.
+    """Resolve serial-related inputs to CONTAINERID.

-    Note: One serial number may map to multiple CONTAINERIDs.
-
-    Args:
-        serial_numbers: List of serial numbers
-
-    Returns:
-        Resolution result dict.
+    Matching sources (in priority order):
+      1. DW_MES_PJ_COMBINEDASSYLOTS.FINISHEDNAME (new serial path)
+      2. DW_MES_CONTAINER.CONTAINERNAME (old serial / lot-id style inputs)
+      3. DW_MES_CONTAINER.FIRSTNAME (bridge from serial to related lots)
    """
-    builder = QueryBuilder()
-    _add_exact_or_pattern_condition(builder, "p.FINISHEDNAME", serial_numbers)
-    sql = SQLLoader.load_with_params(
-        "query_tool/lot_resolve_serial",
-        SERIAL_FILTER=builder.get_conditions_sql(),
+    tokens = _normalize_search_tokens(serial_numbers)
+    if not tokens:
+        return {
+            'data': [],
+            'total': 0,
+            'input_count': 0,
+            'not_found': [],
+            'expansion_info': {},
+        }
+
+    source_configs = [
+        {
+            'name': 'finished_name',
+            'priority': 0,
+            'sql_name': 'query_tool/lot_resolve_serial',
+            'filter_key': 'SERIAL_FILTER',
+            'filter_column': 'p.FINISHEDNAME',
+            'match_key': 'FINISHEDNAME',
+            'extra_conditions': [],
+        },
+        {
+            'name': 'container_name',
+            'priority': 1,
+            'sql_name': 'query_tool/lot_resolve_id',
+            'filter_key': 'CONTAINER_FILTER',
+            'filter_column': 'CONTAINERNAME',
+            'match_key': 'CONTAINERNAME',
+            'extra_conditions': ["OBJECTTYPE = 'LOT'"],
+        },
+        {
+            'name': 'first_name',
+            'priority': 2,
+            'sql_name': 'query_tool/lot_resolve_wafer_lot',
+            'filter_key': 'WAFER_FILTER',
+            'filter_column': 'FIRSTNAME',
+            'match_key': 'FIRSTNAME',
+            'extra_conditions': ["OBJECTTYPE = 'LOT'"],
+        },
+    ]
+
+    best_match_by_key: Dict[Tuple[str, str], Dict[str, Any]] = {}
+
+    for config in source_configs:
+        builder = QueryBuilder()
+        _add_exact_or_pattern_condition(builder, config['filter_column'], tokens)
+        for cond in config['extra_conditions']:
+            builder.add_condition(cond)
+
+        if not builder.conditions:
+            continue
+
+        sql = SQLLoader.load_with_params(
+            config['sql_name'],
+            **{config['filter_key']: builder.get_conditions_sql()},
+        )
+        df = read_sql_df(sql, builder.params)
+        data = _df_to_records(df)
+        matched, _, _ = _match_rows_by_tokens(
+            tokens,
+            data,
+            row_key=config['match_key'],
+        )
+
+        for row in matched:
+            input_value = str(row.get('input_value') or '').strip()
+            cid = str(row.get('CONTAINERID') or '').strip()
+            if not input_value or not cid:
+                continue
+
+            candidate = {
+                'container_id': cid,
+                'lot_id': row.get('CONTAINERNAME') or cid,
+                'input_value': input_value,
+                'spec_name': row.get('SPECNAME'),
+                'match_source': config['name'],
+                '_priority': config['priority'],
+            }
+            key = (input_value, cid)
+            existing = best_match_by_key.get(key)
+            if existing is None or candidate['_priority'] < existing['_priority']:
+                best_match_by_key[key] = candidate
+
+    grouped_by_input: Dict[str, List[Dict[str, Any]]] = {}
+    for item in best_match_by_key.values():
+        grouped_by_input.setdefault(item['input_value'], []).append(item)
+
+    results: List[Dict[str, Any]] = []
+    not_found: List[str] = []
+    expansion_info: Dict[str, int] = {}
+
+    for token in tokens:
+        rows = grouped_by_input.get(token, [])
+        rows.sort(key=lambda row: (row.get('_priority', 999), str(row.get('lot_id') or '')))
+        if not rows:
+            not_found.append(token)
+            continue
+
+        expansion_info[token] = len(rows)
+        for row in rows:
+            row.pop('_priority', None)
+            results.append(row)
+
+    logger.info(
+        "Serial number resolution: %s containers from %s inputs (not_found=%s)",
+        len(results),
+        len(tokens),
+        len(not_found),
    )

-    df = read_sql_df(sql, builder.params)
-    data = _df_to_records(df)
-    matched, not_found, expansion_info = _match_rows_by_tokens(
-        serial_numbers,
-        data,
-        row_key='FINISHEDNAME',
-    )
-
-    results = []
-    for row in matched:
-        results.append({
-            'container_id': row.get('CONTAINERID'),
-            'lot_id': row.get('CONTAINERNAME'),
-            'input_value': row.get('input_value'),
-            'spec_name': row.get('SPECNAME'),
-        })
-
-    logger.info(f"Serial number resolution: {len(results)} containers from {len(serial_numbers)} inputs")
-
    return {
        'data': results,
        'total': len(results),
-        'input_count': len(serial_numbers),
+        'input_count': len(tokens),
        'not_found': not_found,
        'expansion_info': expansion_info,
    }
--- a/src/mes_dashboard/sql/lineage/merge_sources.sql
+++ b/src/mes_dashboard/sql/lineage/merge_sources.sql
@@ -1,8 +1,8 @@
 -- Unified LineageEngine - Merge Sources
-- Find source lots merged into finished lots from DW_MES_PJ_COMBINEDASSYLOTS.
+-- Find source lots merged into target LOT CIDs from DW_MES_PJ_COMBINEDASSYLOTS.
 --
 -- Parameters:
--   FINISHED_NAME_FILTER - QueryBuilder-generated condition on ca.FINISHEDNAME
+--   TARGET_CID_FILTER - QueryBuilder-generated condition on ca.LOTID
 --
 SELECT
    ca.CONTAINERID   AS SOURCE_CID,
@@ -10,4 +10,4 @@ SELECT
    ca.FINISHEDNAME,
    ca.LOTID         AS FINISHED_CID
 FROM DWH.DW_MES_PJ_COMBINEDASSYLOTS ca
-WHERE {{ FINISHED_NAME_FILTER }}
+WHERE {{ TARGET_CID_FILTER }}
--- a/tests/test_lineage_engine.py
+++ b/tests/test_lineage_engine.py
@@ -67,35 +67,35 @@ def test_resolve_split_ancestors_batches_and_enforces_max_depth(mock_read_sql_df

@patch("mes_dashboard.services.lineage_engine.read_sql_df")
 def test_resolve_merge_sources_batches_and_returns_mapping(mock_read_sql_df):
-    names = [f"FN{i:04d}" for i in range(1001)]
+    target_cids = [f"T{i:04d}" for i in range(1001)]
    mock_read_sql_df.side_effect = [
        pd.DataFrame(
            [
-                {"FINISHEDNAME": "FN0000", "SOURCE_CID": "SRC-A"},
-                {"FINISHEDNAME": "FN0000", "SOURCE_CID": "SRC-B"},
+                {"FINISHED_CID": "T0000", "SOURCE_CID": "SRC-A"},
+                {"FINISHED_CID": "T0000", "SOURCE_CID": "SRC-B"},
            ]
        ),
        pd.DataFrame(
            [
-                {"FINISHEDNAME": "FN1000", "SOURCE_CID": "SRC-C"},
-                {"FINISHEDNAME": "FN1000", "SOURCE_CID": "SRC-C"},
-                {"FINISHEDNAME": None, "SOURCE_CID": "SRC-INVALID"},
+                {"FINISHED_CID": "T1000", "SOURCE_CID": "SRC-C"},
+                {"FINISHED_CID": "T1000", "SOURCE_CID": "SRC-C"},
+                {"FINISHED_CID": None, "SOURCE_CID": "SRC-INVALID"},
            ]
        ),
    ]

-    result = LineageEngine.resolve_merge_sources(names)
+    result = LineageEngine.resolve_merge_sources(target_cids)

    assert mock_read_sql_df.call_count == 2
    first_sql, first_params = mock_read_sql_df.call_args_list[0].args
    second_sql, second_params = mock_read_sql_df.call_args_list[1].args
-    assert "{{ FINISHED_NAME_FILTER }}" not in first_sql
-    assert "{{ FINISHED_NAME_FILTER }}" not in second_sql
+    assert "{{ TARGET_CID_FILTER }}" not in first_sql
+    assert "{{ TARGET_CID_FILTER }}" not in second_sql
    assert len(first_params) == 1000
    assert len(second_params) == 1

-    assert result["FN0000"] == ["SRC-A", "SRC-B"]
-    assert result["FN1000"] == ["SRC-C"]
+    assert result["T0000"] == ["SRC-A", "SRC-B"]
+    assert result["T1000"] == ["SRC-C"]


@patch("mes_dashboard.services.lineage_engine.LineageEngine.resolve_merge_sources")
@@ -126,7 +126,7 @@ def test_resolve_full_genealogy_combines_split_and_merge(
            },
        },
    ]
-    mock_resolve_merge_sources.return_value = {"LOT-B": ["M1"]}
+    mock_resolve_merge_sources.return_value = {"B": ["M1"]}

    result = LineageEngine.resolve_full_genealogy(["A"], {"A": "LOT-A"})

--- a/tests/test_query_tool_service.py
+++ b/tests/test_query_tool_service.py
@@ -286,23 +286,63 @@ class TestResolveQueriesUseBindParams:

        with patch('mes_dashboard.services.query_tool_service.SQLLoader.load_with_params') as mock_load:
            with patch('mes_dashboard.services.query_tool_service.read_sql_df') as mock_read:
-                mock_load.return_value = "SELECT * FROM DUAL"
-                mock_read.return_value = pd.DataFrame([
-                    {
-                        'CONTAINERID': 'CID-1',
-                        'FINISHEDNAME': 'SN-1',
-                        'CONTAINERNAME': 'LOT-1',
-                        'SPECNAME': 'SPEC-1',
-                    }
-                ])
+                mock_load.side_effect = [
+                    "SELECT * FROM COMBINE",
+                    "SELECT * FROM CONTAINER_NAME",
+                    "SELECT * FROM FIRSTNAME",
+                ]
+                mock_read.side_effect = [
+                    pd.DataFrame([
+                        {
+                            'CONTAINERID': 'CID-FIN',
+                            'FINISHEDNAME': 'SN-1',
+                            'CONTAINERNAME': 'LOT-FIN',
+                            'SPECNAME': 'SPEC-1',
+                        }
+                    ]),
+                    pd.DataFrame([
+                        {
+                            'CONTAINERID': 'CID-NAME',
+                            'CONTAINERNAME': 'SN-1',
+                            'SPECNAME': 'SPEC-2',
+                            'MFGORDERNAME': None,
+                            'QTY': 1,
+                        }
+                    ]),
+                    pd.DataFrame([
+                        {
+                            'CONTAINERID': 'CID-FIRST',
+                            'CONTAINERNAME': 'GD25000001-A01',
+                            'FIRSTNAME': 'SN-1',
+                            'SPECNAME': 'SPEC-3',
+                            'QTY': 1,
+                        }
+                    ]),
+                ]

                result = _resolve_by_serial_number(['SN-1'])

-                assert result['total'] == 1
-                sql_params = mock_load.call_args.kwargs
-                assert ':p0' in sql_params['SERIAL_FILTER']
-                _, query_params = mock_read.call_args.args
-                assert query_params == {'p0': 'SN-1'}
+                assert result['total'] == 3
+                assert {row['match_source'] for row in result['data']} == {
+                    'finished_name',
+                    'container_name',
+                    'first_name',
+                }
+
+                assert [call.args[0] for call in mock_load.call_args_list] == [
+                    'query_tool/lot_resolve_serial',
+                    'query_tool/lot_resolve_id',
+                    'query_tool/lot_resolve_wafer_lot',
+                ]
+                assert ':p0' in mock_load.call_args_list[0].kwargs['SERIAL_FILTER']
+                assert ':p0' in mock_load.call_args_list[1].kwargs['CONTAINER_FILTER']
+                assert ':p0' in mock_load.call_args_list[2].kwargs['WAFER_FILTER']
+                assert "OBJECTTYPE = 'LOT'" in mock_load.call_args_list[1].kwargs['CONTAINER_FILTER']
+                assert "OBJECTTYPE = 'LOT'" in mock_load.call_args_list[2].kwargs['WAFER_FILTER']
+
+                assert mock_read.call_args_list[0].args[1] == {'p0': 'SN-1'}
+                assert mock_read.call_args_list[1].args[1] == {'p0': 'SN-1'}
+                assert mock_read.call_args_list[2].args[1] == {'p0': 'SN-1'}

    def test_resolve_by_work_order_uses_query_builder_params(self):
        from unittest.mock import patch