diff --git a/.env.example b/.env.example
index 60c0bd3..92a6a7c 100644
--- a/.env.example
+++ b/.env.example
@@ -103,6 +103,17 @@ RESOURCE_CACHE_ENABLED=true
# The cache will check for updates at this interval using MAX(LASTCHANGEDATE)
RESOURCE_SYNC_INTERVAL=14400
+# Resource index version check interval in seconds (default: 5)
+RESOURCE_INDEX_VERSION_CHECK_INTERVAL=5
+
+# Realtime equipment status cache toggle and sync interval
+REALTIME_EQUIPMENT_CACHE_ENABLED=true
+EQUIPMENT_STATUS_SYNC_INTERVAL=300
+
+# Filter cache SQL view overrides
+FILTER_CACHE_WIP_VIEW=DWH.DW_MES_LOT_V
+FILTER_CACHE_SPEC_WORKCENTER_VIEW=DWH.DW_MES_SPEC_WORKCENTER_V
+
# ============================================================
# Circuit Breaker Configuration
# ============================================================
@@ -128,6 +139,9 @@ CIRCUIT_BREAKER_WINDOW_SIZE=10
# Note: Real-time Oracle views may take 2-5s per query, set threshold accordingly
SLOW_QUERY_THRESHOLD=5.0
+# In-memory query metrics sliding window size
+METRICS_WINDOW_SIZE=1000
+
# ============================================================
# SQLite Log Store Configuration
# ============================================================
@@ -164,6 +178,12 @@ WATCHDOG_RESTART_HISTORY_MAX=50
# Cooldown period between restart requests in seconds (default: 60)
WORKER_RESTART_COOLDOWN=60
+# Watchdog loop check interval in seconds
+WATCHDOG_CHECK_INTERVAL=5
+
+# Runtime contract strict validation toggle
+RUNTIME_CONTRACT_ENFORCE=false
+
# ============================================================
# Runtime Resilience Diagnostics Thresholds
# ============================================================
@@ -185,3 +205,6 @@ RESILIENCE_RESTART_CHURN_THRESHOLD=3
# Example: https://example.com,https://app.example.com
# Set to * for development (not recommended for production)
CORS_ALLOWED_ORIGINS=
+
+# Health endpoint memo cache TTL in seconds
+HEALTH_MEMO_TTL_SECONDS=5
diff --git a/data/page_status.json b/data/page_status.json
index 427a548..f6d87a6 100644
--- a/data/page_status.json
+++ b/data/page_status.json
@@ -44,6 +44,16 @@
"route": "/job-query",
"name": "設備維修查詢",
"status": "released"
+ },
+ {
+ "route": "/query-tool",
+ "name": "批次追蹤工具",
+ "status": "released"
+ },
+ {
+ "route": "/tmtt-defect",
+ "name": "TMTT印字腳型不良分析",
+ "status": "dev"
}
],
"api_public": true,
@@ -53,4 +63,4 @@
"object_count": 19,
"source": "tools/query_table_schema.py"
}
-}
\ No newline at end of file
+}
diff --git a/docs/env_sync_report.md b/docs/env_sync_report.md
new file mode 100644
index 0000000..acb9285
--- /dev/null
+++ b/docs/env_sync_report.md
@@ -0,0 +1,26 @@
+# Environment Sync Report
+
+- Source: `/home/egg/Project/DashBoard/.env`
+- Target: `/home/egg/Project/DashBoard_vite/.env`
+- Example Baseline: `.env.example`
+
+- Keys in source env: 39
+- Keys in vite .env.example: 54
+- Missing keys auto-added to target: 15
+
+## Auto-Added Keys
+- `DB_POOL_TIMEOUT`
+- `DB_POOL_RECYCLE`
+- `DB_TCP_CONNECT_TIMEOUT`
+- `DB_CONNECT_RETRY_COUNT`
+- `DB_CONNECT_RETRY_DELAY`
+- `DB_CALL_TIMEOUT_MS`
+- `WIP_CACHE_TTL_SECONDS`
+- `WATCHDOG_RUNTIME_DIR`
+- `WATCHDOG_PID_FILE`
+- `WATCHDOG_RESTART_HISTORY_MAX`
+- `RESILIENCE_DEGRADED_ALERT_SECONDS`
+- `RESILIENCE_POOL_SATURATION_WARNING`
+- `RESILIENCE_POOL_SATURATION_CRITICAL`
+- `RESILIENCE_RESTART_CHURN_WINDOW_SECONDS`
+- `RESILIENCE_RESTART_CHURN_THRESHOLD`
diff --git a/docs/env_usage_gap_report.md b/docs/env_usage_gap_report.md
new file mode 100644
index 0000000..85239c6
--- /dev/null
+++ b/docs/env_usage_gap_report.md
@@ -0,0 +1,9 @@
+# Environment Usage Gap Report
+
+- Parsed env keys used in code/tests: 37
+- Keys present in `.env`: 63
+- Missing keys: 2
+
+## Missing Keys
+- `CONDA_DEFAULT_ENV`
+- `PYTEST_CURRENT_TEST`
diff --git a/docs/migration_validation_evidence.md b/docs/migration_validation_evidence.md
index 9bd104b..b62525b 100644
--- a/docs/migration_validation_evidence.md
+++ b/docs/migration_validation_evidence.md
@@ -26,6 +26,7 @@ Result:
- PASS
- `routes 71`
- Redis/Oracle warnings observed in this local environment; app factory and route registration still completed.
+- Note: current tree includes additional routes (query-tool / tmtt-defect / hardening paths), so fresh smoke now reports `routes 83`.
## Focused Test Gate (root project)
diff --git a/docs/root_cutover_inventory.md b/docs/root_cutover_inventory.md
index 8b50439..882f7af 100644
--- a/docs/root_cutover_inventory.md
+++ b/docs/root_cutover_inventory.md
@@ -41,7 +41,7 @@
### App import smoke
- `PYTHONPATH=src python -c "from mes_dashboard.app import create_app; app=create_app('testing'); print(app.url_map)"`
-- Verified route initialization count (`routes 71`) in root-only execution context.
+- Verified route initialization count (`routes 83`) in root-only execution context.
### HTTP smoke (Flask test client)
- Verify page renders and module asset tags resolve/fallback:
diff --git a/frontend/src/portal/main.js b/frontend/src/portal/main.js
index 0852c7e..fd4be83 100644
--- a/frontend/src/portal/main.js
+++ b/frontend/src/portal/main.js
@@ -177,9 +177,8 @@ import './portal.css';
window.openTool = openTool;
window.toggleHealthPopup = toggleHealthPopup;
- if (healthStatus) {
- healthStatus.addEventListener('click', toggleHealthPopup);
- }
+ // Click handler is wired via inline onclick in template for fallback compatibility.
+ // Avoid duplicate binding here, otherwise a single click toggles twice.
document.addEventListener('click', (e) => {
if (!e.target.closest('#healthStatus') && !e.target.closest('#healthPopup') && healthPopup) {
healthPopup.classList.remove('show');
diff --git a/frontend/src/query-tool/main.js b/frontend/src/query-tool/main.js
new file mode 100644
index 0000000..4a04027
--- /dev/null
+++ b/frontend/src/query-tool/main.js
@@ -0,0 +1,3139 @@
+import { ensureMesApiAvailable } from '../core/api.js';
+
+ensureMesApiAvailable();
+
+/**
+ * Query Tool JavaScript
+ *
+ * Handles batch tracing and equipment period query functionality.
+ */
+
+// ============================================================
+// State Management
+// ============================================================
+
+const QueryToolState = {
+ // LOT query
+ queryType: 'lot_id',
+ resolvedLots: [],
+ selectedLotIndex: 0,
+ lotHistories: {}, // container_id -> history data
+ lotAssociations: {}, // container_id -> { materials, rejects, holds, jobs }
+
+ // Timeline
+ timelineSelectedLots: new Set(), // Set of indices for timeline display
+ currentLotIndex: 0, // For association highlight
+
+ // Workcenter group filter
+ workcenterGroups: [], // All available groups [{name, sequence}]
+ selectedWorkcenterGroups: new Set(), // Selected group names for filtering
+
+ // Equipment query
+ allEquipments: [],
+ selectedEquipments: new Set(),
+ equipmentResults: null,
+};
+
+// Expose for debugging
+window.QueryToolState = QueryToolState;
+
+// ============================================================
+// State Cleanup (Memory Management)
+// ============================================================
+
+/**
+ * Clear all query state to free memory before new query or page unload.
+ * This prevents browser memory issues with large datasets.
+ */
+function clearQueryState() {
+ // Clear LOT query state
+ QueryToolState.resolvedLots = [];
+ QueryToolState.selectedLotIndex = 0;
+ QueryToolState.lotHistories = {};
+ QueryToolState.lotAssociations = {};
+ QueryToolState.timelineSelectedLots = new Set();
+ QueryToolState.currentLotIndex = 0;
+
+ // Clear workcenter group selection (keep workcenterGroups as it's reused)
+ QueryToolState.selectedWorkcenterGroups = new Set();
+
+ // Hide selection bar (contains LOT selector and workcenter filter)
+ const selectionBar = document.getElementById('selectionBar');
+ if (selectionBar) selectionBar.style.display = 'none';
+
+ // Clear equipment query state
+ QueryToolState.equipmentResults = null;
+ // Note: Keep allEquipments and selectedEquipments as they are reused
+
+ // Clear global timeline data (can be large)
+ if (window._timelineData) {
+ window._timelineData.lotsData = [];
+ window._timelineData.stationColors = {};
+ window._timelineData.allStations = [];
+ window._timelineData.selectedStations = new Set();
+ window._timelineData = null;
+ }
+
+ // Close any open popups
+ closeTimelinePopup();
+
+ // Clear DOM content
+ const lotResultsContent = document.getElementById('lotResultsContent');
+ if (lotResultsContent) {
+ lotResultsContent.innerHTML = '';
+ lotResultsContent.style.display = 'none';
+ }
+
+ // Reset empty state visibility
+ const lotEmptyState = document.getElementById('lotEmptyState');
+ if (lotEmptyState) {
+ lotEmptyState.style.display = 'block';
+ }
+
+ // Hide LOT info bar
+ const lotInfoBar = document.getElementById('lotInfoBar');
+ if (lotInfoBar) lotInfoBar.style.display = 'none';
+
+ console.log('[QueryTool] State cleared for memory management');
+}
+
+// Clear state before page unload to help garbage collection
+window.addEventListener('beforeunload', () => {
+ clearQueryState();
+});
+
+// Expose for manual cleanup if needed
+window.clearQueryState = clearQueryState;
+
+// ============================================================
+// Initialization
+// ============================================================
+
+document.addEventListener('DOMContentLoaded', () => {
+ loadEquipments();
+ loadWorkcenterGroups(); // Load workcenter groups for filtering
+ setLast30Days();
+
+ // Close dropdowns when clicking outside
+ document.addEventListener('click', (e) => {
+ // Equipment dropdown
+ const eqDropdown = document.getElementById('equipmentDropdown');
+ const eqSelector = document.querySelector('.equipment-selector');
+ if (eqSelector && !eqSelector.contains(e.target)) {
+ eqDropdown.classList.remove('show');
+ }
+
+ // LOT selector dropdown
+ const lotDropdown = document.getElementById('lotSelectorDropdown');
+ const lotSelector = document.getElementById('lotSelectorContainer');
+ if (lotSelector && !lotSelector.contains(e.target)) {
+ lotDropdown.classList.remove('show');
+ }
+
+ // Workcenter group dropdown
+ const wcDropdown = document.getElementById('wcGroupDropdown');
+ const wcSelector = document.getElementById('workcenterGroupSelectorContainer');
+ if (wcSelector && !wcSelector.contains(e.target)) {
+ if (wcDropdown) wcDropdown.classList.remove('show');
+ }
+ });
+
+ // Handle Enter key in search input
+ const searchInput = document.getElementById('lotInputField');
+ if (searchInput) {
+ searchInput.addEventListener('keypress', (e) => {
+ if (e.key === 'Enter') {
+ executeLotQuery();
+ }
+ });
+ }
+});
+
+// ============================================================
+// Query Mode Switching (Batch vs Equipment)
+// ============================================================
+
+function switchQueryMode(mode) {
+ // Update tabs
+ document.querySelectorAll('.query-mode-tab').forEach(tab => {
+ tab.classList.toggle('active', tab.dataset.mode === mode);
+ });
+
+ // Show/hide filter bars
+ document.getElementById('batchFilterBar').style.display = mode === 'batch' ? 'flex' : 'none';
+ document.getElementById('equipmentFilterBar').style.display = mode === 'equipment' ? 'flex' : 'none';
+
+ // Show/hide results panels
+ document.getElementById('batchResultsPanel').style.display = mode === 'batch' ? 'block' : 'none';
+ document.getElementById('equipmentResultsPanel').style.display = mode === 'equipment' ? 'block' : 'none';
+
+ // Hide LOT info bar when switching to equipment mode
+ if (mode === 'equipment') {
+ document.getElementById('lotInfoBar').style.display = 'none';
+ }
+}
+
+// ============================================================
+// Query Type Selection
+// ============================================================
+
+function setQueryType(type) {
+ QueryToolState.queryType = type;
+
+ // Update select element if called programmatically
+ const select = document.getElementById('queryTypeSelect');
+ if (select && select.value !== type) {
+ select.value = type;
+ }
+
+ // Update input placeholder based on type
+ const placeholders = {
+ 'lot_id': '輸入 LOT ID（多筆以逗號分隔）',
+ 'serial_number': '輸入流水號（多筆以逗號分隔）',
+ 'work_order': '輸入 GA工單（多筆以逗號分隔）',
+ };
+
+ const inputField = document.getElementById('lotInputField');
+ if (inputField) {
+ inputField.placeholder = placeholders[type] || placeholders['lot_id'];
+ }
+}
+
+// ============================================================
+// LOT Query Functions
+// ============================================================
+
+function parseInputValues(text) {
+ // Parse input: split by newlines and commas, trim whitespace, filter empty
+ return text
+ .split(/[\n,]/)
+ .map(s => s.trim())
+ .filter(s => s.length > 0);
+}
+
+async function executeLotQuery() {
+ const input = document.getElementById('lotInputField').value;
+ const values = parseInputValues(input);
+
+ if (values.length === 0) {
+ Toast.error('請輸入查詢條件');
+ return;
+ }
+
+ // Validate limits
+ const limits = { 'lot_id': 50, 'serial_number': 50, 'work_order': 10 };
+ const limit = limits[QueryToolState.queryType];
+ if (values.length > limit) {
+ Toast.error(`輸入數量超過上限 (${limit} 筆)`);
+ return;
+ }
+
+ // Clear previous query state to free memory
+ clearQueryState();
+
+ // Show loading
+ document.getElementById('lotEmptyState').style.display = 'none';
+ document.getElementById('lotResultsContent').style.display = 'block';
+ document.getElementById('lotResultsContent').innerHTML = `
+
+ `;
+
+ // Hide LOT info bar and selection bar during loading
+ document.getElementById('lotInfoBar').style.display = 'none';
+ const selectionBar = document.getElementById('selectionBar');
+ if (selectionBar) selectionBar.style.display = 'none';
+
+ document.getElementById('lotQueryBtn').disabled = true;
+
+ try {
+ // Step 1: Resolve to CONTAINERID
+ const resolveResult = await MesApi.post('/api/query-tool/resolve', {
+ input_type: QueryToolState.queryType,
+ values: values
+ });
+
+ if (resolveResult.error) {
+ document.getElementById('lotResultsContent').innerHTML = `${resolveResult.error}
`;
+ return;
+ }
+
+ if (!resolveResult.data || resolveResult.data.length === 0) {
+ document.getElementById('lotResultsContent').innerHTML = `
+
+
查無符合的批次資料
+ ${resolveResult.not_found && resolveResult.not_found.length > 0
+ ? `
未找到: ${resolveResult.not_found.join(', ')}
`
+ : ''}
+
選擇站點後點擊「套用篩選」重新載入 ';
+ // Load and show the single lot's data
+ confirmLotSelection();
+ } else {
+ // Multiple results - show selector for user to choose
+ const lotSelector = document.getElementById('lotSelectorContainer');
+ if (lotSelector) lotSelector.style.display = 'block';
+ showLotSelector(resolveResult.data);
+ // Render empty state
+ renderLotResults(resolveResult);
+ // Auto-open the dropdown
+ document.getElementById('lotSelectorDropdown').classList.add('show');
+ }
+
+ } catch (error) {
+ document.getElementById('lotResultsContent').innerHTML = `查詢失敗: ${error.message}
`;
+ } finally {
+ document.getElementById('lotQueryBtn').disabled = false;
+ }
+}
+
+// ============================================================
+// LOT Selector Dropdown
+// ============================================================
+
+function showLotSelector(lots) {
+ const container = document.getElementById('lotSelectorContainer');
+ const dropdown = document.getElementById('lotSelectorDropdown');
+ const display = document.getElementById('lotSelectorDisplay');
+ const badge = document.getElementById('lotCountBadge');
+
+ container.style.display = 'block';
+ display.textContent = '選擇批次...';
+ badge.textContent = lots.length + ' 筆';
+
+ // Group lots by spec_name and sort within groups
+ const groupedLots = {};
+ lots.forEach((lot, idx) => {
+ const spec = lot.spec_name || '未分類';
+ if (!groupedLots[spec]) {
+ groupedLots[spec] = [];
+ }
+ groupedLots[spec].push({ ...lot, originalIndex: idx });
+ });
+
+ // Sort specs alphabetically, sort lots within each group by lot_id
+ const sortedSpecs = Object.keys(groupedLots).sort();
+ sortedSpecs.forEach(spec => {
+ groupedLots[spec].sort((a, b) => {
+ const aId = a.lot_id || a.input_value || '';
+ const bId = b.lot_id || b.input_value || '';
+ return aId.localeCompare(bId);
+ });
+ });
+
+ // Populate dropdown with grouped structure and checkboxes for multi-select
+ let html = `
+
+
+
+ 已選 0 筆
+
+ `;
+
+ sortedSpecs.forEach(spec => {
+ html += ``;
+
+ groupedLots[spec].forEach(lot => {
+ const idx = lot.originalIndex;
+ const isSelected = QueryToolState.timelineSelectedLots.has(idx);
+
+ html += `
+
+
+
+
+
${lot.lot_id || lot.input_value}
+
${lot.work_order || ''}
+
+
+
+ 確定選擇
+
+
+ `;
+
+ dropdown.innerHTML = html;
+ updateLotSelectorCount();
+}
+
+// Confirm selection and load data for all selected lots
+async function confirmLotSelection() {
+ const selectedIndices = Array.from(QueryToolState.timelineSelectedLots);
+
+ if (selectedIndices.length === 0) {
+ Toast.warning('請至少選擇一個批次');
+ return;
+ }
+
+ // Close dropdowns
+ document.getElementById('lotSelectorDropdown').classList.remove('show');
+ const wcDropdown = document.getElementById('wcGroupDropdown');
+ if (wcDropdown) wcDropdown.classList.remove('show');
+
+ // Build workcenter_groups parameter
+ const wcGroups = Array.from(QueryToolState.selectedWorkcenterGroups);
+ const wcGroupsParam = wcGroups.length > 0 ? wcGroups.join(',') : null;
+
+ // Update display
+ const count = selectedIndices.length;
+ document.getElementById('lotSelectorDisplay').textContent = `已選 ${count} 個批次`;
+
+ // Hide single lot info bar, show loading
+ document.getElementById('lotInfoBar').style.display = 'none';
+
+ const panel = document.getElementById('lotResultsContent');
+ const filterInfo = wcGroupsParam ? ` (篩選: ${wcGroups.length} 個站點群組)` : '';
+ panel.innerHTML = `
+
+
+
載入所選批次資料...${filterInfo}
+
載入失敗: ${error.message}
`;
+ }
+}
+
+function toggleLotInSelector(index, checked) {
+ if (checked) {
+ QueryToolState.timelineSelectedLots.add(index);
+ } else {
+ QueryToolState.timelineSelectedLots.delete(index);
+ }
+
+ // Update visual style
+ const option = document.querySelector(`.lot-option[data-index="${index}"]`);
+ if (option) {
+ option.classList.toggle('selected', checked);
+ }
+
+ updateLotSelectorCount();
+ updateTimelineButton();
+}
+
+function toggleAllLotsInSelector(checked) {
+ const checkboxes = document.querySelectorAll('#lotSelectorDropdown input[type="checkbox"][data-lot-index]');
+ checkboxes.forEach(cb => {
+ cb.checked = checked;
+ const idx = parseInt(cb.dataset.lotIndex);
+ if (checked) {
+ QueryToolState.timelineSelectedLots.add(idx);
+ } else {
+ QueryToolState.timelineSelectedLots.delete(idx);
+ }
+ });
+ updateLotSelectorCount();
+ updateTimelineButton();
+}
+
+function updateLotSelectorCount() {
+ const countEl = document.getElementById('lotSelectedCount');
+ if (countEl) {
+ countEl.textContent = `已選 ${QueryToolState.timelineSelectedLots.size} 筆`;
+ }
+}
+
+function toggleLotSelector() {
+ const dropdown = document.getElementById('lotSelectorDropdown');
+ dropdown.classList.toggle('show');
+}
+
+function selectLotFromDropdown(index) {
+ // Toggle checkbox selection
+ const checkbox = document.querySelector(`#lotSelectorDropdown input[data-lot-index="${index}"]`);
+ if (checkbox) {
+ checkbox.checked = !checkbox.checked;
+ toggleLotInSelector(index, checkbox.checked);
+ }
+}
+
+function updateLotInfoBar(index) {
+ const lot = QueryToolState.resolvedLots[index];
+ if (!lot) return;
+
+ const infoBar = document.getElementById('lotInfoBar');
+ infoBar.style.display = 'flex';
+
+ document.getElementById('infoLotId').textContent = lot.lot_id || lot.input_value || '-';
+ document.getElementById('infoSpec').textContent = lot.spec_name || '-';
+ document.getElementById('infoWorkOrder').textContent = lot.work_order || '-';
+
+ // Step count will be updated after history loads
+ document.getElementById('infoStepCount').textContent = '-';
+}
+
+function renderLotResults(resolveResult) {
+ const lots = QueryToolState.resolvedLots;
+ const notFound = resolveResult.not_found || [];
+
+ let html = `
+
+ `;
+
+ html += ``;
+
+ document.getElementById('lotResultsContent').innerHTML = html;
+}
+
+// Render combined view for multiple selected lots
+function renderCombinedLotView(selectedIndices) {
+ const lots = QueryToolState.resolvedLots;
+ const panel = document.getElementById('lotResultsContent');
+
+ // Collect all history data with LOT ID
+ const allHistory = [];
+ selectedIndices.forEach(idx => {
+ const lot = lots[idx];
+ const history = QueryToolState.lotHistories[lot.container_id] || [];
+ history.forEach(step => {
+ allHistory.push({
+ ...step,
+ LOT_ID: lot.lot_id || lot.input_value,
+ LOT_INDEX: idx
+ });
+ });
+ });
+
+ // Sort by track-in time
+ allHistory.sort((a, b) => {
+ const timeA = a.TRACKINTIMESTAMP ? new Date(a.TRACKINTIMESTAMP).getTime() : 0;
+ const timeB = b.TRACKINTIMESTAMP ? new Date(b.TRACKINTIMESTAMP).getTime() : 0;
+ return timeA - timeB;
+ });
+
+ let html = `
+
+ `;
+
+ // Timeline section (auto-displayed)
+ html += `
+
+
+
+ 生產時間線
+ (${selectedIndices.length} 個批次)
+
+
收起
+
+
+
生產歷程
+
+
+
+
+ LOT ID
+ 站點
+ 設備
+ 規格
+ 產品類型
+ BOP
+ Wafer Lot
+ 上機時間
+ 下機時間
+ 入數
+ 出數
+ 操作
+
+
+
+ `;
+
+ allHistory.forEach((step, idx) => {
+ html += `
+
+ ${step.LOT_ID}
+ ${step.WORKCENTERNAME || ''}
+ ${step.EQUIPMENTNAME || ''}
+ ${truncateText(step.SPECNAME, 15)}
+ ${step.PJ_TYPE || '-'}
+ ${step.PJ_BOP || '-'}
+ ${step.WAFER_LOT_ID || '-'}
+ ${formatDateTime(step.TRACKINTIMESTAMP)}
+ ${formatDateTime(step.TRACKOUTTIMESTAMP)}
+ ${step.TRACKINQTY || ''}
+ ${step.TRACKOUTQTY || ''}
+
+
+ 前後批
+
+
+
+ `;
+ });
+
+ html += `
關聯資料
+
+ 物料消耗
+ 不良紀錄
+ HOLD 紀錄
+ 拆併批紀錄
+
+
+ `;
+
+ panel.innerHTML = html;
+
+ // Store selected indices for association queries
+ QueryToolState.currentSelectedIndices = selectedIndices;
+
+ // Set timeline selected lots for showTimeline() to work
+ QueryToolState.timelineSelectedLots = new Set(selectedIndices);
+
+ // Render timeline
+ renderTimeline(selectedIndices);
+
+ // Load default association
+ loadCombinedAssociation('materials', document.querySelector('.assoc-tab.active'));
+}
+
+// Load combined association data for all selected lots
+async function loadCombinedAssociation(type, tabElement) {
+ // Update tab states
+ document.querySelectorAll('.assoc-tab').forEach(t => t.classList.remove('active'));
+ if (tabElement) tabElement.classList.add('active');
+
+ const content = document.getElementById('assocContent');
+
+ // Show custom loading message for splits (slow query)
+ if (type === 'splits') {
+ content.innerHTML = `
+
+
+
+
查詢生產拆併批紀錄中...
+
此查詢可能需要 30-60 秒，請耐心等候
+
+
載入失敗: ${error.message}
`;
+ }
+}
+
+function renderCombinedAssociation(type, data) {
+ const content = document.getElementById('assocContent');
+
+ // Special handling for 'splits' type (different data structure)
+ if (type === 'splits') {
+ renderCombinedSplitsAssociation(data);
+ return;
+ }
+
+ // Check for empty data (array types)
+ if (!data || data.length === 0) {
+ content.innerHTML = `無${getAssocLabel(type)}資料
`;
+ cols.forEach(col => {
+ const isLotId = col === 'LOT_ID';
+ const style = isLotId ? 'position: sticky; left: 0; background: #f8f9fa; z-index: 2;' : '';
+ html += `${colLabels[col] || col} `;
+ });
+ html += ` `;
+
+ data.forEach(row => {
+ html += ``;
+ cols.forEach(col => {
+ let value = row[col];
+ const isLotId = col === 'LOT_ID';
+ const style = isLotId ? 'position: sticky; left: 0; background: white; z-index: 1; font-weight: 500; font-family: monospace; font-size: 12px;' : '';
+
+ if (col.includes('DATE') || col.includes('TIMESTAMP')) {
+ value = formatDateTime(value);
+ }
+ if (col === 'HOLD_STATUS') {
+ value = value === 'HOLD'
+ ? `HOLD 中 `
+ : `已解除 `;
+ }
+ html += `${value !== null && value !== undefined ? value : ''} `;
+ });
+ html += ` `;
+ });
+
+ html += `
+ 注意： ${skipReason}
+
+ `;
+ }
+
+ // Show warning if production history query timed out
+ if (productionHistoryTimeout) {
+ html += `
+
+ ⚠ 查詢逾時： ${timeoutMessage || '生產拆併批歷史查詢超時。此表格（DW_MES_HM_LOTMOVEOUT）目前無索引，查詢需較長時間。僅顯示 TMTT 成品流水號對應資料。'}
+
+ `;
+ }
+
+ // 1. Production Split/Merge History (生產過程拆併批)
+ if (hasProductionHistory) {
+ html += `
+
+
+
+ 生產過程拆併批紀錄
+ (${productionHistory.length} 筆)
+
+
匯出 CSV
+
+
+
+
+
+ 操作
+ 來源批次
+ 目標批次
+ 數量
+ 時間
+
+
+
+ `;
+
+ productionHistory.forEach(record => {
+ const opBadgeClass = record.operation_type === 'SplitLot' ? 'badge-info' : 'badge-warning';
+ const isCurrentSource = record.is_current_lot_source;
+ const isCurrentTarget = record.is_current_lot_target;
+ const sourceStyle = isCurrentSource ? 'font-weight: 600; color: #4e54c8;' : '';
+ const targetStyle = isCurrentTarget ? 'font-weight: 600; color: #4e54c8;' : '';
+
+ html += `
+
+ ${record.operation_type_display} ${record.source_lot || '-'}
+ ${record.target_lot || '-'}
+ ${record.target_qty || '-'}
+ ${formatDateTime(record.txn_date)}
+
+ `;
+ });
+
+ html += `
+
+
+ 成品流水號對應
+ (${serialNumbers.length} 個流水號)
+
+
匯出 CSV
+
+ `;
+
+ serialNumbers.forEach(snGroup => {
+ const sn = snGroup.serial_number || 'Unknown';
+ const lots = snGroup.lots || [];
+ const totalDie = snGroup.total_good_die || 0;
+
+ html += `
+
+
+ 流水號: ${sn}
+ 總 Good Die: ${totalDie}
+
+
+ `;
+
+ lots.forEach(lot => {
+ const isCurrentLot = lot.is_current;
+ const lotStyle = isCurrentLot
+ ? 'background: #e8f4e8; border: 1px solid #4caf50;'
+ : 'background: white; border: 1px solid #ddd;';
+
+ html += `
+
+
${lot.lot_id || '-'}
+
+ ${lot.combine_ratio_pct} · ${lot.good_die_qty || 0} die
+
+
+ `;
+ });
+
+ html += `
`;
+ });
+
+ html += `
${result.error}
`;
+ return;
+ }
+
+ QueryToolState.lotHistories[containerId] = result.data || [];
+
+ // Update step count in info bar
+ const stepCount = (result.data || []).length;
+ document.getElementById('infoStepCount').textContent = stepCount + ' 站';
+
+ renderLotDetail(index);
+
+ } catch (error) {
+ panel.innerHTML = `載入失敗: ${error.message}
`;
+ }
+}
+
+function renderLotDetail(index) {
+ const lot = QueryToolState.resolvedLots[index];
+ const containerId = lot.container_id;
+ const lotId = lot.lot_id || lot.input_value; // LOT ID for display
+ const history = QueryToolState.lotHistories[containerId] || [];
+
+ const panel = document.getElementById('lotDetailPanel');
+
+ let html = '';
+
+ if (history.length === 0) {
+ html += ``;
+ } else {
+ // Production history table (full width)
+ html += `
+ 生產歷程
+
+
+
+
+ #
+ 站點
+ 設備
+ 規格
+ 產品類型
+ BOP
+ Wafer Lot
+ 上機時間
+ 下機時間
+ 入數
+ 出數
+ 操作
+
+
+
+ `;
+
+ history.forEach((step, idx) => {
+ html += `
+
+ ${idx + 1}
+ ${step.WORKCENTERNAME || ''}
+ ${step.EQUIPMENTNAME || ''}
+ ${truncateText(step.SPECNAME, 12)}
+ ${step.PJ_TYPE || '-'}
+ ${step.PJ_BOP || '-'}
+ ${step.WAFER_LOT_ID || '-'}
+ ${formatDateTime(step.TRACKINTIMESTAMP)}
+ ${formatDateTime(step.TRACKOUTTIMESTAMP)}
+ ${step.TRACKINQTY || ''}
+ ${step.TRACKOUTQTY || ''}
+
+
+ 前後批
+
+
+
+ `;
+ });
+
+ html += `
關聯資料
+
+ 物料消耗
+ 不良紀錄
+ HOLD 紀錄
+ 拆併批紀錄
+
+
+ `;
+
+ panel.innerHTML = html;
+
+ // Load default association (materials)
+ loadAssociation(containerId, 'materials', document.querySelector('.assoc-tab.active'));
+}
+
+async function loadAssociation(containerId, type, tabElement) {
+ // Update tab states
+ document.querySelectorAll('.assoc-tab').forEach(t => t.classList.remove('active'));
+ if (tabElement) tabElement.classList.add('active');
+
+ // Save current container ID for export functions
+ QueryToolState.currentContainerId = containerId;
+
+ const content = document.getElementById('assocContent');
+
+ // Show custom loading message for splits (slow query)
+ if (type === 'splits') {
+ content.innerHTML = `
+
+
+
+
查詢生產拆併批紀錄中...
+
此查詢可能需要 30-60 秒，請耐心等候
+
+
${result.error}
`;
+ return;
+ }
+
+ // 'splits' returns {production_history, serial_numbers, ...} directly
+ // Other types return {data: [...], ...}
+ if (type === 'splits') {
+ QueryToolState.lotAssociations[cacheKey] = result || {};
+ renderAssociation(type, result || {});
+ } else {
+ QueryToolState.lotAssociations[cacheKey] = result.data || [];
+ renderAssociation(type, result.data || []);
+ }
+
+ } catch (error) {
+ content.innerHTML = `載入失敗: ${error.message}
`;
+ }
+}
+
+function renderAssociation(type, data) {
+ const content = document.getElementById('assocContent');
+
+ // Special handling for 'splits' type (object with production_history and serial_numbers)
+ if (type === 'splits') {
+ renderSplitsAssociation(data);
+ return;
+ }
+
+ // Check empty data for array-based types
+ if (!data || data.length === 0) {
+ content.innerHTML = `無${getAssocLabel(type)}資料
`;
+
+ // Define columns based on type
+ const columns = {
+ 'materials': ['MATERIALPARTNAME', 'MATERIALLOTNAME', 'QTYCONSUMED', 'WORKCENTERNAME', 'EQUIPMENTNAME', 'TXNDATE'],
+ 'rejects': ['REJECTCATEGORYNAME', 'LOSSREASONNAME', 'REJECTQTY', 'WORKCENTERNAME', 'EQUIPMENTNAME', 'TXNDATE'],
+ 'holds': ['WORKCENTERNAME', 'HOLDREASONNAME', 'HOLDTXNDATE', 'HOLD_STATUS', 'HOLD_HOURS', 'HOLDEMP', 'RELEASETXNDATE'],
+ };
+
+ const colLabels = {
+ 'MATERIALPARTNAME': '物料名稱',
+ 'MATERIALLOTNAME': '物料批號',
+ 'QTYCONSUMED': '消耗數量',
+ 'WORKCENTERNAME': '站點',
+ 'EQUIPMENTNAME': '設備',
+ 'TXNDATE': '時間',
+ 'REJECTCATEGORYNAME': '不良分類',
+ 'LOSSREASONNAME': '損失原因',
+ 'REJECTQTY': '不良數量',
+ 'HOLDREASONNAME': 'HOLD 原因',
+ 'HOLDTXNDATE': 'HOLD 時間',
+ 'HOLD_STATUS': '狀態',
+ 'HOLD_HOURS': 'HOLD 時數',
+ 'HOLDEMP': 'HOLD 人員',
+ 'RELEASETXNDATE': 'RELEASE 時間',
+ };
+
+ const cols = columns[type] || Object.keys(data[0]);
+ cols.forEach(col => {
+ html += `${colLabels[col] || col} `;
+ });
+ html += ` `;
+
+ data.forEach(row => {
+ html += ``;
+ cols.forEach(col => {
+ let value = row[col];
+ if (col.includes('DATE') || col.includes('TIMESTAMP')) {
+ value = formatDateTime(value);
+ }
+ if (col === 'HOLD_STATUS') {
+ value = value === 'HOLD'
+ ? `HOLD 中 `
+ : `已解除 `;
+ }
+ html += `${value !== null && value !== undefined ? value : ''} `;
+ });
+ html += ` `;
+ });
+
+ html += `
+ 注意： ${skipReason}
+
+ `;
+ }
+ emptyHtml += '無拆併批紀錄
';
+ content.innerHTML = emptyHtml;
+ return;
+ }
+
+ let html = '';
+
+ // Show notice if production history query was skipped
+ if (productionHistorySkipped && skipReason) {
+ html += `
+
+ 注意： ${skipReason}
+
+ `;
+ }
+
+ // Show warning if production history query timed out
+ if (productionHistoryTimeout) {
+ html += `
+
+ ⚠ 查詢逾時： ${timeoutMessage || '生產拆併批歷史查詢超時。此表格（DW_MES_HM_LOTMOVEOUT）目前無索引，查詢需較長時間。僅顯示 TMTT 成品流水號對應資料。'}
+
+ `;
+ }
+
+ // Production history section (if any)
+ if (hasProductionHistory) {
+ html += `
+
+
+
+ 生產過程拆併批紀錄 (${productionHistory.length} 筆)
+
+
匯出 CSV
+
+
+
+
+
+ 操作
+ 來源批次
+ 目標批次
+ 數量
+ 時間
+
+
+
+ `;
+
+ productionHistory.forEach(record => {
+ const opBadgeClass = record.operation_type === 'SplitLot' ? 'badge-info' : 'badge-warning';
+ html += `
+
+ ${record.operation_type_display} ${record.source_lot || '-'}
+ ${record.target_lot || '-'}
+ ${record.target_qty || '-'}
+ ${formatDateTime(record.txn_date)}
+
+ `;
+ });
+
+ html += `
此 LOT 尚未產出成品流水號
';
+ }
+ content.innerHTML = html;
+ return;
+ }
+
+ html += `
+
+
+ 此 LOT 參與產出 ${serialNumbers.length} 個成品流水號，以下顯示各成品的來源批次組成
+
+
匯出 CSV
+
+
+
+ 成品流水號: ${item.serial_number || '-'}
+
+
+ ${isCombined ? `${lots.length} 批合併` : '單批產出'} |
+ 良品總數: ${totalGoodDie.toLocaleString()}
+
+
+
+
+
+
+ 序
+ LOT ID
+ 工單
+ 貢獻比例
+ 良品數
+ 開始時間
+
+
+
+ `;
+
+ lots.forEach((lot, lotIdx) => {
+ const isCurrent = lot.is_current;
+ const rowStyle = isCurrent
+ ? 'background: #fff3cd; border-left: 4px solid #ffc107;'
+ : 'border-left: 4px solid transparent;';
+ const ratioValue = lot.combine_ratio || 0;
+ const ratioBarWidth = Math.min(ratioValue * 100, 100);
+
+ html += `
+
+ ${lotIdx + 1}
+
+ ${lot.lot_id || '-'}
+ ${isCurrent ? '當前查詢批次 ' : ''}
+
+ ${lot.work_order || '-'}
+
+
+
+
${lot.combine_ratio_pct || '-'}
+
+
+ ${lot.good_die_qty ? lot.good_die_qty.toLocaleString() : '-'}
+
+
+ ${formatDateTime(lot.original_start_date)}
+
+
+ `;
+ });
+
+ html += `
+
+
+
+
載入失敗: ${error.message}
`;
+ }
+}
+
+function hideTimeline() {
+ document.getElementById('timelineContainer').style.display = 'none';
+}
+
+function renderTimeline(selectedIndices) {
+ const content = document.getElementById('timelineContent');
+
+ // Collect all history data and find time bounds
+ const lotsData = [];
+ let minTime = Infinity;
+ let maxTime = -Infinity;
+
+ // Station color map
+ const stationColors = {};
+ const colorPalette = [
+ '#4e79a7', '#f28e2b', '#e15759', '#76b7b2', '#59a14f',
+ '#edc948', '#b07aa1', '#ff9da7', '#9c755f', '#bab0ac',
+ '#86bcb6', '#8cd17d', '#499894', '#d37295', '#b6992d'
+ ];
+ let colorIndex = 0;
+
+ for (const idx of selectedIndices) {
+ const lot = QueryToolState.resolvedLots[idx];
+ const history = QueryToolState.lotHistories[lot.container_id] || [];
+
+ const steps = history.map((step, stepIdx) => {
+ // Parse track-in time with better handling
+ const trackInRaw = step.TRACKINTIMESTAMP;
+ let trackIn = 0;
+ if (trackInRaw) {
+ // Try parsing - handle both ISO and Oracle formats
+ const parsed = new Date(trackInRaw);
+ if (!isNaN(parsed.getTime())) {
+ trackIn = parsed.getTime();
+ }
+ }
+
+ // Check if TRACKOUTTIMESTAMP is a valid value (not null, not empty string, not "None")
+ const trackOutRaw = step.TRACKOUTTIMESTAMP;
+ const hasValidTrackOut = trackOutRaw &&
+ trackOutRaw !== '' &&
+ trackOutRaw !== 'None' &&
+ trackOutRaw !== 'null' &&
+ !isNaN(new Date(trackOutRaw).getTime());
+
+ // For ongoing steps (no track-out), use track-in + 1 hour as placeholder
+ // This prevents using Date.now() which can skew the timeline range
+ const trackOut = hasValidTrackOut
+ ? new Date(trackOutRaw).getTime()
+ : (trackIn > 0 ? trackIn + 3600000 : 0); // trackIn + 1 hour for ongoing
+ const isOngoing = !hasValidTrackOut;
+
+ // Only process steps with valid trackIn (skip pre-scheduled steps)
+ if (trackIn > 0) {
+ if (trackIn < minTime) minTime = trackIn;
+ // For maxTime, use trackOut if valid, otherwise use trackIn
+ const effectiveMax = hasValidTrackOut ? trackOut : trackIn;
+ if (effectiveMax > maxTime) maxTime = effectiveMax;
+ }
+
+ // Assign color to station
+ const station = step.WORKCENTERNAME || 'Unknown';
+ if (!stationColors[station]) {
+ stationColors[station] = colorPalette[colorIndex % colorPalette.length];
+ colorIndex++;
+ }
+
+ return {
+ station,
+ equipment: step.EQUIPMENTNAME || '',
+ spec: step.SPECNAME || '',
+ trackIn,
+ trackOut,
+ color: stationColors[station],
+ isOngoing
+ };
+ });
+
+ lotsData.push({
+ lotId: lot.lot_id || lot.input_value,
+ containerId: lot.container_id,
+ steps
+ });
+ }
+
+ if (lotsData.length === 0 || minTime === Infinity) {
+ content.innerHTML = '';
+ return;
+ }
+
+ // Add padding to time range
+ const timeRange = maxTime - minTime;
+ const padding = timeRange * 0.02;
+ minTime -= padding;
+ maxTime += padding;
+
+ // Store timeline data for filtering and popup
+ const allStations = Object.keys(stationColors);
+ window._timelineData = {
+ lotsData,
+ minTime,
+ maxTime,
+ stationColors,
+ allStations,
+ selectedStations: new Set(allStations), // All selected by default
+ pixelsPerHour: 50
+ };
+
+ // Render compact preview with click to open popup
+ let html = `
+
+
站點篩選 (點擊切換顯示)
+
+ ${allStations.map(station => `
+
+ ${station}
+
+ `).join('')}
+
+
+ 全選
+ 全不選
+
+
+ ${renderTimelinePreview(lotsData, minTime, maxTime, stationColors)}
+
+
+
+ 支援縮放和橫向捲動
+
+ `;
+
+ content.innerHTML = html;
+}
+
+function renderTimelinePreview(lotsData, minTime, maxTime, stationColors) {
+ const MS_PER_HOUR = 3600000;
+ const PREVIEW_WIDTH = 600; // Fixed preview width
+ const timeRange = maxTime - minTime;
+ const selectedStations = window._timelineData?.selectedStations || new Set(Object.keys(stationColors));
+
+ let html = '';
+
+ lotsData.forEach((lotData, lotIdx) => {
+ html += `
+
+
+ ${lotData.lotId}
+
+
+ `;
+
+ lotData.steps.forEach((step) => {
+ if (!step.trackIn || step.trackIn <= 0) return;
+ if (!selectedStations.has(step.station)) return;
+
+ const left = ((step.trackIn - minTime) / timeRange) * 100;
+ const width = Math.max(((step.trackOut - step.trackIn) / timeRange) * 100, 0.5);
+
+ html += `
+
+ `;
+ });
+
+ html += `
+
+
+ `;
+ });
+
+ html += '
+
+ 生產時間線
+
+
+
+ 時間比例
+ ${data.pixelsPerHour}px/h
+
+
×
+
+
+
+ ${renderTimelineAxisFixed(minTime, maxTime, pixelsPerHour)}
+
+ `;
+
+ lotsData.forEach((lotData) => {
+ html += `
+
+
+ ${lotData.lotId}
+
+
+ `;
+
+ lotData.steps.forEach((step, stepIdx) => {
+ if (!step.trackIn || step.trackIn <= 0) return;
+ if (!selectedStations.has(step.station)) return;
+
+ const leftPx = ((step.trackIn - minTime) / MS_PER_HOUR) * pixelsPerHour;
+ const durationHours = (step.trackOut - step.trackIn) / MS_PER_HOUR;
+ const widthPx = Math.max(durationHours * pixelsPerHour, 40);
+
+ const equipmentLabel = step.equipment || '';
+ const durationStr = durationHours >= 1
+ ? `${Math.floor(durationHours)}h ${Math.round((durationHours % 1) * 60)}m`
+ : `${Math.round(durationHours * 60)}m`;
+ const timeRangeStr = step.isOngoing ? '進行中' : formatDateTime(new Date(step.trackOut));
+ const tooltipLines = [
+ `${step.station} - ${equipmentLabel}`,
+ `${formatDateTime(new Date(step.trackIn))} ~ ${timeRangeStr}`,
+ `耗時: ${durationStr}`,
+ `規格: ${step.spec}`
+ ];
+
+ html += `
+
+ ${equipmentLabel}
+ ${step.station}
+
+ `;
+ });
+
+ html += `
+
+
+ `;
+ });
+
+ html += `
+
+
+
+ ${ticks.map(t => `
+
+ `).join('')}
+
+
+
+
+ 設備: ${equipmentName} | 基準時間: ${formatDateTime(targetTime)}
+
+
+
+
${result.error}
`;
+ return;
+ }
+
+ if (!result.data || result.data.length === 0) {
+ content.innerHTML = ``;
+ return;
+ }
+
+ let html = `
+
+
+
+
+ 相對位置
+ LOT ID
+ 產品類型
+ BOP
+ Wafer Lot
+ 工單
+ 批次號
+ 上機時間
+ 下機時間
+ 上機數
+ 下機數
+
+
+
+ `;
+
+ result.data.forEach(lot => {
+ const pos = lot.RELATIVE_POSITION;
+ const posLabel = pos === 0 ? '目標批次' : (pos > 0 ? `+${pos}` : pos);
+ const rowClass = pos === 0 ? 'style="background: #fff3cd;"' : '';
+
+ html += `
+
+ ${posLabel} ${lot.CONTAINERNAME || '-'}
+ ${lot.PJ_TYPE || '-'}
+ ${lot.PJ_BOP || '-'}
+ ${lot.WAFER_LOT_ID || '-'}
+ ${lot.PJ_WORKORDER || '-'}
+ ${lot.FINISHEDRUNCARD || ''}
+ ${formatDateTime(lot.TRACKINTIMESTAMP)}
+ ${formatDateTime(lot.TRACKOUTTIMESTAMP)}
+ ${lot.TRACKINQTY || ''}
+ ${lot.TRACKOUTQTY || ''}
+
+ `;
+ });
+
+ html += `
查詢失敗: ${error.message}
`;
+ }
+}
+
+// ============================================================
+// Workcenter Group Filter Functions
+// ============================================================
+
+async function loadWorkcenterGroups() {
+ try {
+ const result = await MesApi.get('/api/query-tool/workcenter-groups', {
+ silent: true
+ });
+ if (result.error) {
+ console.error('Failed to load workcenter groups:', result.error);
+ return;
+ }
+
+ QueryToolState.workcenterGroups = result.data || [];
+ console.log(`[QueryTool] Loaded ${QueryToolState.workcenterGroups.length} workcenter groups`);
+ } catch (error) {
+ console.error('Error loading workcenter groups:', error);
+ }
+}
+
+function renderWorkcenterGroupSelector() {
+ const container = document.getElementById('workcenterGroupSelector');
+ if (!container) return;
+
+ const groups = QueryToolState.workcenterGroups;
+ const selected = QueryToolState.selectedWorkcenterGroups;
+ const count = selected.size;
+
+ let html = `
+
+
+ ${count === 0 ? '全部站點' : `${count} 個站點群組`}
+ ${count}
+
+
+
+
+
+
+
+
+ `;
+
+ groups.forEach(group => {
+ const isSelected = selected.has(group.name);
+ html += `
+
+
+
+
+ `;
+ });
+
+ html += `
+
+
+
+
${data.error}
`;
+ return;
+ }
+
+ QueryToolState.allEquipments = data.data;
+ renderEquipmentList(data.data);
+ } catch (error) {
+ document.getElementById('equipmentList').innerHTML = `載入失敗: ${error.message}
`;
+ }
+}
+
+function renderEquipmentList(equipments) {
+ const container = document.getElementById('equipmentList');
+
+ if (!equipments || equipments.length === 0) {
+ container.innerHTML = '無設備資料
';
+ return;
+ }
+
+ let html = '';
+ let currentWorkcenter = null;
+
+ equipments.forEach(eq => {
+ const isSelected = QueryToolState.selectedEquipments.has(eq.RESOURCEID);
+
+ // Group header
+ if (eq.WORKCENTERNAME !== currentWorkcenter) {
+ currentWorkcenter = eq.WORKCENTERNAME;
+ html += `${currentWorkcenter || '未分類'}
`;
+ }
+
+ html += `
+
+
+
+
${eq.RESOURCENAME}
+
${eq.RESOURCEFAMILYNAME || ''}
+
+
查詢失敗: ${error.message}
`;
+ } finally {
+ document.getElementById('eqQueryBtn').disabled = false;
+ }
+}
+
+function renderEquipmentResults() {
+ const results = QueryToolState.equipmentResults;
+ const content = document.getElementById('eqResultsContent');
+
+ let html = `
+
+
+
+ 狀態時數
+ 批次清單
+ 物料消耗
+ 不良統計
+ JOB 紀錄
+
+
+
+ `;
+
+ content.innerHTML = html;
+
+ // Render initial tab
+ renderEquipmentTab('status_hours', results.status_hours);
+}
+
+async function loadEquipmentTab(tabType, tabElement) {
+ // Update tab states
+ document.querySelectorAll('#eqResultsContent .assoc-tab').forEach(t => t.classList.remove('active'));
+ if (tabElement) tabElement.classList.add('active');
+
+ const content = document.getElementById('eqTabContent');
+ content.innerHTML = ``;
+
+ const results = QueryToolState.equipmentResults;
+
+ // Check if already loaded
+ if (results[tabType]) {
+ renderEquipmentTab(tabType, results[tabType]);
+ return;
+ }
+
+ try {
+ const result = await MesApi.post('/api/query-tool/equipment-period', {
+ equipment_ids: results.equipment_ids,
+ equipment_names: results.equipment_names,
+ start_date: results.date_range.start,
+ end_date: results.date_range.end,
+ query_type: tabType
+ });
+
+ results[tabType] = result;
+ renderEquipmentTab(tabType, result);
+
+ } catch (error) {
+ content.innerHTML = `載入失敗: ${error.message}
`;
+ }
+}
+
+function renderEquipmentTab(tabType, result) {
+ const content = document.getElementById('eqTabContent');
+
+ if (result.error) {
+ content.innerHTML = `${result.error}
`;
+ return;
+ }
+
+ if (!result.data || result.data.length === 0) {
+ content.innerHTML = ``;
+ return;
+ }
+
+ const data = result.data;
+
+ // Define columns based on tab type
+ const columnDefs = {
+ 'status_hours': {
+ cols: ['RESOURCENAME', 'PRD_HOURS', 'SBY_HOURS', 'UDT_HOURS', 'SDT_HOURS', 'EGT_HOURS', 'NST_HOURS', 'TOTAL_HOURS', 'OU_PERCENT'],
+ labels: { RESOURCENAME: '設備名稱', PRD_HOURS: '生產', SBY_HOURS: '待機', UDT_HOURS: '非計畫停機', SDT_HOURS: '計畫停機', EGT_HOURS: '工程', NST_HOURS: '非排程', TOTAL_HOURS: '總時數', OU_PERCENT: 'OU%' }
+ },
+ 'lots': {
+ cols: ['EQUIPMENTNAME', 'WORKCENTERNAME', 'CONTAINERNAME', 'PJ_TYPE', 'PJ_BOP', 'WAFER_LOT_ID', 'FINISHEDRUNCARD', 'SPECNAME', 'TRACKINTIMESTAMP', 'TRACKOUTTIMESTAMP', 'TRACKINQTY', 'TRACKOUTQTY'],
+ labels: { EQUIPMENTNAME: '設備', WORKCENTERNAME: '站點', CONTAINERNAME: 'LOT ID', PJ_TYPE: '產品類型', PJ_BOP: 'BOP', WAFER_LOT_ID: 'Wafer Lot', FINISHEDRUNCARD: '批次號', SPECNAME: '規格', TRACKINTIMESTAMP: '上機時間', TRACKOUTTIMESTAMP: '下機時間', TRACKINQTY: '上機數', TRACKOUTQTY: '下機數' }
+ },
+ 'materials': {
+ cols: ['EQUIPMENTNAME', 'MATERIALPARTNAME', 'TOTAL_CONSUMED', 'LOT_COUNT'],
+ labels: { EQUIPMENTNAME: '設備', MATERIALPARTNAME: '物料名稱', TOTAL_CONSUMED: '消耗總量', LOT_COUNT: '批次數' }
+ },
+ 'rejects': {
+ cols: ['EQUIPMENTNAME', 'LOSSREASONNAME', 'TOTAL_DEFECT_QTY', 'TOTAL_REJECT_QTY', 'AFFECTED_LOT_COUNT'],
+ labels: { EQUIPMENTNAME: '設備', LOSSREASONNAME: '損失原因', TOTAL_DEFECT_QTY: '不良數量', TOTAL_REJECT_QTY: 'REJECT數量', AFFECTED_LOT_COUNT: '影響批次' }
+ },
+ 'jobs': {
+ cols: ['RESOURCENAME', 'JOBID', 'JOBSTATUS', 'JOBMODELNAME', 'CREATEDATE', 'COMPLETEDATE', 'CAUSECODENAME', 'REPAIRCODENAME'],
+ labels: { RESOURCENAME: '設備', JOBID: 'JOB ID', JOBSTATUS: '狀態', JOBMODELNAME: '類型', CREATEDATE: '建立時間', COMPLETEDATE: '完成時間', CAUSECODENAME: '原因代碼', REPAIRCODENAME: '維修代碼' }
+ }
+ };
+
+ const def = columnDefs[tabType] || { cols: Object.keys(data[0]), labels: {} };
+
+ // Add export button
+ let html = `
+
+ 匯出 CSV
+
+ `;
+
+ // Show totals for status_hours
+ if (tabType === 'status_hours' && result.totals) {
+ const t = result.totals;
+ html += `
+
+ 總計: PRD ${t.PRD_HOURS?.toFixed(1) || 0}h | SBY ${t.SBY_HOURS?.toFixed(1) || 0}h |
+ UDT ${t.UDT_HOURS?.toFixed(1) || 0}h | OU% ${t.OU_PERCENT?.toFixed(1) || 0}%
+
+ `;
+ }
+
+ html += ``;
+
+ def.cols.forEach(col => {
+ html += `${def.labels[col] || col} `;
+ });
+ html += ` `;
+
+ data.forEach(row => {
+ html += ``;
+ def.cols.forEach(col => {
+ let value = row[col];
+ if (col.includes('DATE') || col.includes('TIMESTAMP')) {
+ value = formatDateTime(value);
+ }
+ if (col === 'OU_PERCENT' && value !== null) {
+ value = `${value}%`;
+ }
+ if ((col.endsWith('_HOURS') || col === 'TOTAL_CONSUMED') && value !== null) {
+ value = Number(value).toFixed(2);
+ }
+ html += `${value !== null && value !== undefined ? value : ''} `;
+ });
+ html += ` `;
+ });
+
+ html += `
% ';
+ document.getElementById('kpiLeadQty').textContent = kpi.lead_defect_qty.toLocaleString('zh-TW');
+ document.getElementById('kpiLeadRate').innerHTML = kpi.lead_defect_rate.toFixed(4) + '% ';
+ }
+
+ // ============================================================
+ // Charts
+ // ============================================================
+ function renderCharts(chartsData) {
+ CHART_CONFIG.forEach(cfg => {
+ const data = chartsData[cfg.key] || [];
+ renderParetoChart(cfg.id, data, cfg.key, cfg.field, cfg.title);
+ });
+ }
+
+ function renderParetoChart(containerId, data, chartKey, filterField, title) {
+ if (!charts[containerId]) {
+ charts[containerId] = echarts.init(document.getElementById(containerId));
+ }
+ const chart = charts[containerId];
+
+ if (!data || data.length === 0) {
+ chart.setOption({
+ title: { text: '無資料', left: 'center', top: 'center', textStyle: { color: '#999', fontSize: 14 } },
+ xAxis: { show: false }, yAxis: { show: false }, series: []
+ });
+ return;
+ }
+
+ const names = data.map(d => d.name);
+ const printRates = data.map(d => d.print_defect_rate);
+ const leadRates = data.map(d => d.lead_defect_rate);
+ const cumPct = data.map(d => d.cumulative_pct);
+
+ const option = {
+ tooltip: {
+ trigger: 'axis',
+ axisPointer: { type: 'shadow' },
+ formatter: function(params) {
+ const name = params[0].name;
+ const item = data.find(d => d.name === name);
+ if (!item) return name;
+ return `${name} ● 印字不良: ${item.print_defect_qty} (${item.print_defect_rate.toFixed(4)}%)● 腳型不良: ${item.lead_defect_qty} (${item.lead_defect_rate.toFixed(4)}%)${d.date} ● ${label}: ${d[rateKey].toFixed(4)}%無資料
+ ${r.CONTAINERNAME || ''}
+ ${r.PJ_TYPE || ''}
+ ${r.PRODUCTLINENAME || ''}
+ ${r.WORKFLOW || ''}
+ ${r.FINISHEDRUNCARD || ''}
+ ${r.TMTT_EQUIPMENTNAME || ''}
+ ${r.MOLD_EQUIPMENTNAME || ''}
+ ${(r.INPUT_QTY || 0).toLocaleString()}
+ ${r.PRINT_DEFECT_QTY || 0}
+ ${(r.PRINT_DEFECT_RATE || 0).toFixed(4)}
+ ${r.LEAD_DEFECT_QTY || 0}
+ ${(r.LEAD_DEFECT_RATE || 0).toFixed(4)}
+ `).join('');
+
+ // Update sort indicators
+ document.querySelectorAll('.sort-indicator').forEach(el => el.textContent = '');
+ if (sortState.column) {
+ const ind = document.getElementById('sort_' + sortState.column);
+ if (ind) ind.textContent = sortState.asc ? '▲' : '▼';
+ }
+ }
+
+ window.sortTable = function(column) {
+ if (sortState.column === column) {
+ sortState.asc = !sortState.asc;
+ } else {
+ sortState.column = column;
+ sortState.asc = true;
+ }
+ renderDetailTable();
+ };
+
+ // ============================================================
+ // CSV Export
+ // ============================================================
+ window.exportCsv = function() {
+ const startDate = document.getElementById('startDate').value;
+ const endDate = document.getElementById('endDate').value;
+ if (!startDate || !endDate) {
+ Toast.warning('請先查詢資料');
+ return;
+ }
+ window.open(`/api/tmtt-defect/export?start_date=${startDate}&end_date=${endDate}`, '_blank');
+ };
+
+ // ============================================================
+ // Resize
+ // ============================================================
+ window.addEventListener('resize', function() {
+ Object.values(charts).forEach(c => c.resize());
+ });
+})();
diff --git a/frontend/vite.config.js b/frontend/vite.config.js
index 888ad5d..ca431a4 100644
--- a/frontend/vite.config.js
+++ b/frontend/vite.config.js
@@ -17,7 +17,9 @@ export default defineConfig(({ mode }) => ({
'resource-history': resolve(__dirname, 'src/resource-history/main.js'),
'job-query': resolve(__dirname, 'src/job-query/main.js'),
'excel-query': resolve(__dirname, 'src/excel-query/main.js'),
- tables: resolve(__dirname, 'src/tables/main.js')
+ tables: resolve(__dirname, 'src/tables/main.js'),
+ 'query-tool': resolve(__dirname, 'src/query-tool/main.js'),
+ 'tmtt-defect': resolve(__dirname, 'src/tmtt-defect/main.js')
},
output: {
entryFileNames: '[name].js',
diff --git a/src/mes_dashboard/app.py b/src/mes_dashboard/app.py
index e98d78e..ce9c7c5 100644
--- a/src/mes_dashboard/app.py
+++ b/src/mes_dashboard/app.py
@@ -104,11 +104,12 @@ def _build_security_headers(production: bool) -> dict[str, str]:
"img-src 'self' data: blob:; "
"font-src 'self' data:; "
"connect-src 'self'; "
- "frame-ancestors 'none'; "
+ # Portal embeds same-origin report pages via iframe.
+ "frame-ancestors 'self'; "
"base-uri 'self'; "
"form-action 'self'"
),
- "X-Frame-Options": "DENY",
+ "X-Frame-Options": "SAMEORIGIN",
"X-Content-Type-Options": "nosniff",
"Referrer-Policy": "strict-origin-when-cross-origin",
}
@@ -233,11 +234,14 @@ def create_app(config_name: str | None = None) -> Flask:
# Initialize database teardown and pool
init_db(app)
+ running_pytest = bool(os.getenv("PYTEST_CURRENT_TEST"))
+ is_testing_runtime = bool(app.config.get("TESTING")) or app.testing or running_pytest
with app.app_context():
- get_engine()
- start_keepalive() # Keep database connections alive
- start_cache_updater() # Start Redis cache updater
- init_realtime_equipment_cache(app) # Start realtime equipment status cache
+ if not is_testing_runtime:
+ get_engine()
+ start_keepalive() # Keep database connections alive
+ start_cache_updater() # Start Redis cache updater
+ init_realtime_equipment_cache(app) # Start realtime equipment status cache
_register_shutdown_hooks(app)
# Register API routes
@@ -343,13 +347,10 @@ def create_app(config_name: str | None = None) -> Flask:
return admin
def frontend_asset(filename: str) -> str | None:
- """Resolve built frontend asset from static/dist if available."""
+ """Resolve frontend asset path served from static/dist."""
if not filename:
return None
- dist_path = os.path.join(app.static_folder or "", "dist", filename)
- if os.path.exists(dist_path):
- return url_for("static", filename=f"dist/{filename}")
- return None
+ return url_for("static", filename=f"dist/{filename}")
return {
"is_admin": admin,
@@ -368,6 +369,11 @@ def create_app(config_name: str | None = None) -> Flask:
"""Portal home with tabs."""
return render_template('portal.html')
+ @app.route('/favicon.ico')
+ def favicon():
+ """Serve favicon without 404 noise."""
+ return redirect(url_for('static', filename='favicon.svg'), code=302)
+
@app.route('/tables')
def tables_page():
"""Table viewer page."""
@@ -398,6 +404,11 @@ def create_app(config_name: str | None = None) -> Flask:
"""Resource history analysis page."""
return render_template('resource_history.html')
+ @app.route('/tmtt-defect')
+ def tmtt_defect_page():
+ """TMTT printing & lead form defect analysis page."""
+ return render_template('tmtt_defect.html')
+
# ========================================================
# Table Query APIs (for table_data_viewer)
# ========================================================
diff --git a/src/mes_dashboard/config/database.py b/src/mes_dashboard/config/database.py
index eafbc4c..835e555 100644
--- a/src/mes_dashboard/config/database.py
+++ b/src/mes_dashboard/config/database.py
@@ -6,6 +6,7 @@ Loads credentials from environment variables (.env file).
"""
import os
+import sys
from pathlib import Path
from urllib.parse import quote_plus
@@ -13,9 +14,14 @@ from urllib.parse import quote_plus
try:
from dotenv import load_dotenv
- # Find .env file in project root
- env_path = Path(__file__).resolve().parents[3] / '.env'
- load_dotenv(env_path)
+ # Find .env file in project root.
+ # Pytest runs should not auto-load runtime secrets/config from .env.
+ running_pytest = bool(os.getenv("PYTEST_CURRENT_TEST")) or any(
+ "pytest" in arg for arg in sys.argv
+ )
+ if not running_pytest:
+ env_path = Path(__file__).resolve().parents[3] / '.env'
+ load_dotenv(env_path)
except ImportError:
pass # python-dotenv not installed, rely on system environment variables
diff --git a/src/mes_dashboard/routes/__init__.py b/src/mes_dashboard/routes/__init__.py
index 0d16e5e..53c2083 100644
--- a/src/mes_dashboard/routes/__init__.py
+++ b/src/mes_dashboard/routes/__init__.py
@@ -13,6 +13,8 @@ from .auth_routes import auth_bp
from .admin_routes import admin_bp
from .resource_history_routes import resource_history_bp
from .job_query_routes import job_query_bp
+from .query_tool_routes import query_tool_bp
+from .tmtt_defect_routes import tmtt_defect_bp
def register_routes(app) -> None:
@@ -24,6 +26,8 @@ def register_routes(app) -> None:
app.register_blueprint(hold_bp)
app.register_blueprint(resource_history_bp)
app.register_blueprint(job_query_bp)
+ app.register_blueprint(query_tool_bp)
+ app.register_blueprint(tmtt_defect_bp)
__all__ = [
'wip_bp',
@@ -35,5 +39,7 @@ __all__ = [
'admin_bp',
'resource_history_bp',
'job_query_bp',
+ 'query_tool_bp',
+ 'tmtt_defect_bp',
'register_routes',
]
diff --git a/src/mes_dashboard/routes/query_tool_routes.py b/src/mes_dashboard/routes/query_tool_routes.py
new file mode 100644
index 0000000..5af926a
--- /dev/null
+++ b/src/mes_dashboard/routes/query_tool_routes.py
@@ -0,0 +1,509 @@
+# -*- coding: utf-8 -*-
+"""Query Tool API routes.
+
+Contains Flask Blueprint for batch tracing and equipment period query endpoints:
+- LOT resolution (LOT ID / Serial Number / Work Order → CONTAINERID)
+- LOT production history and adjacent lots
+- LOT associations (materials, rejects, holds, jobs)
+- Equipment period queries (status hours, lots, materials, rejects, jobs)
+- CSV export functionality
+"""
+
+from flask import Blueprint, jsonify, request, Response, render_template
+
+from mes_dashboard.services.query_tool_service import (
+ resolve_lots,
+ get_lot_history,
+ get_adjacent_lots,
+ get_lot_materials,
+ get_lot_rejects,
+ get_lot_holds,
+ get_lot_splits,
+ get_lot_jobs,
+ get_equipment_status_hours,
+ get_equipment_lots,
+ get_equipment_materials,
+ get_equipment_rejects,
+ get_equipment_jobs,
+ export_to_csv,
+ generate_csv_stream,
+ validate_date_range,
+ validate_lot_input,
+ validate_equipment_input,
+)
+
+# Create Blueprint
+query_tool_bp = Blueprint('query_tool', __name__)
+
+
+# ============================================================
+# Page Route
+# ============================================================
+
+@query_tool_bp.route('/query-tool')
+def query_tool_page():
+ """Render the query tool page."""
+ return render_template('query_tool.html')
+
+
+# ============================================================
+# LOT Resolution API
+# ============================================================
+
+@query_tool_bp.route('/api/query-tool/resolve', methods=['POST'])
+def resolve_lot_input():
+ """Resolve user input to CONTAINERID list.
+
+ Expects JSON body:
+ {
+ "input_type": "lot_id" | "serial_number" | "work_order",
+ "values": ["value1", "value2", ...]
+ }
+
+ Returns:
+ {
+ "data": [{"container_id": "...", "input_value": "..."}, ...],
+ "total": 10,
+ "input_count": 5,
+ "not_found": ["value3"]
+ }
+ """
+ data = request.get_json()
+
+ if not data:
+ return jsonify({'error': '請求內容不可為空'}), 400
+
+ input_type = data.get('input_type')
+ values = data.get('values', [])
+
+ # Validate input type
+ valid_types = ['lot_id', 'serial_number', 'work_order']
+ if input_type not in valid_types:
+ return jsonify({'error': f'不支援的查詢類型: {input_type}'}), 400
+
+ # Validate values
+ validation_error = validate_lot_input(input_type, values)
+ if validation_error:
+ return jsonify({'error': validation_error}), 400
+
+ result = resolve_lots(input_type, values)
+
+ if 'error' in result:
+ return jsonify(result), 400
+
+ return jsonify(result)
+
+
+# ============================================================
+# LOT History API
+# ============================================================
+
+@query_tool_bp.route('/api/query-tool/lot-history', methods=['GET'])
+def query_lot_history():
+ """Query production history for a LOT.
+
+ Query params:
+ container_id: CONTAINERID (16-char hex)
+ workcenter_groups: Optional comma-separated list of WORKCENTER_GROUP names
+
+ Returns production history records.
+ """
+ container_id = request.args.get('container_id')
+ workcenter_groups_param = request.args.get('workcenter_groups')
+
+ if not container_id:
+ return jsonify({'error': '請指定 CONTAINERID'}), 400
+
+ # Parse workcenter_groups if provided
+ workcenter_groups = None
+ if workcenter_groups_param:
+ workcenter_groups = [
+ g.strip() for g in workcenter_groups_param.split(',') if g.strip()
+ ]
+
+ result = get_lot_history(container_id, workcenter_groups=workcenter_groups)
+
+ if 'error' in result:
+ return jsonify(result), 400
+
+ return jsonify(result)
+
+
+# ============================================================
+# Adjacent Lots API
+# ============================================================
+
+@query_tool_bp.route('/api/query-tool/adjacent-lots', methods=['GET'])
+def query_adjacent_lots():
+ """Query adjacent lots (前後批) for a specific equipment.
+
+ Finds lots before/after target on same equipment until different PJ_TYPE,
+ with minimum 3 lots in each direction.
+
+ Query params:
+ equipment_id: Equipment ID
+ target_time: Target lot's TRACKINTIMESTAMP (ISO format)
+ time_window: Time window in hours (optional, default 24)
+
+ Returns adjacent lots with relative position.
+ """
+ equipment_id = request.args.get('equipment_id')
+ target_time = request.args.get('target_time')
+ time_window = request.args.get('time_window', 24, type=int)
+
+ if not all([equipment_id, target_time]):
+ return jsonify({'error': '請指定設備和目標時間'}), 400
+
+ result = get_adjacent_lots(equipment_id, target_time, time_window)
+
+ if 'error' in result:
+ return jsonify(result), 400
+
+ return jsonify(result)
+
+
+# ============================================================
+# LOT Associations API
+# ============================================================
+
+@query_tool_bp.route('/api/query-tool/lot-associations', methods=['GET'])
+def query_lot_associations():
+ """Query association data for a LOT.
+
+ Query params:
+ container_id: CONTAINERID (16-char hex)
+ type: Association type ('materials', 'rejects', 'holds', 'jobs')
+ equipment_id: Equipment ID (required for 'jobs' type)
+ time_start: Start time (required for 'jobs' type)
+ time_end: End time (required for 'jobs' type)
+
+ Returns association records based on type.
+ """
+ container_id = request.args.get('container_id')
+ assoc_type = request.args.get('type')
+
+ if not container_id:
+ return jsonify({'error': '請指定 CONTAINERID'}), 400
+
+ valid_types = ['materials', 'rejects', 'holds', 'splits', 'jobs']
+ if assoc_type not in valid_types:
+ return jsonify({'error': f'不支援的關聯類型: {assoc_type}'}), 400
+
+ if assoc_type == 'materials':
+ result = get_lot_materials(container_id)
+ elif assoc_type == 'rejects':
+ result = get_lot_rejects(container_id)
+ elif assoc_type == 'holds':
+ result = get_lot_holds(container_id)
+ elif assoc_type == 'splits':
+ result = get_lot_splits(container_id)
+ elif assoc_type == 'jobs':
+ equipment_id = request.args.get('equipment_id')
+ time_start = request.args.get('time_start')
+ time_end = request.args.get('time_end')
+
+ if not all([equipment_id, time_start, time_end]):
+ return jsonify({'error': '查詢 JOB 需指定設備和時間範圍'}), 400
+
+ result = get_lot_jobs(equipment_id, time_start, time_end)
+
+ if 'error' in result:
+ return jsonify(result), 400
+
+ return jsonify(result)
+
+
+# ============================================================
+# Equipment Period Query API
+# ============================================================
+
+@query_tool_bp.route('/api/query-tool/equipment-period', methods=['POST'])
+def query_equipment_period():
+ """Query equipment data for a time period.
+
+ Expects JSON body:
+ {
+ "equipment_ids": ["id1", "id2", ...],
+ "equipment_names": ["name1", "name2", ...],
+ "start_date": "2024-01-01",
+ "end_date": "2024-01-31",
+ "query_type": "status_hours" | "lots" | "materials" | "rejects" | "jobs"
+ }
+
+ Returns data based on query_type.
+ """
+ data = request.get_json()
+
+ if not data:
+ return jsonify({'error': '請求內容不可為空'}), 400
+
+ equipment_ids = data.get('equipment_ids', [])
+ equipment_names = data.get('equipment_names', [])
+ start_date = data.get('start_date')
+ end_date = data.get('end_date')
+ query_type = data.get('query_type')
+
+ # Validate date range
+ if not start_date or not end_date:
+ return jsonify({'error': '請指定日期範圍'}), 400
+
+ validation_error = validate_date_range(start_date, end_date)
+ if validation_error:
+ return jsonify({'error': validation_error}), 400
+
+ # Validate query type
+ valid_types = ['status_hours', 'lots', 'materials', 'rejects', 'jobs']
+ if query_type not in valid_types:
+ return jsonify({'error': f'不支援的查詢類型: {query_type}'}), 400
+
+ # Execute query based on type
+ if query_type == 'status_hours':
+ if not equipment_ids:
+ return jsonify({'error': '請選擇至少一台設備'}), 400
+ result = get_equipment_status_hours(equipment_ids, start_date, end_date)
+
+ elif query_type == 'lots':
+ if not equipment_ids:
+ return jsonify({'error': '請選擇至少一台設備'}), 400
+ result = get_equipment_lots(equipment_ids, start_date, end_date)
+
+ elif query_type == 'materials':
+ if not equipment_names:
+ return jsonify({'error': '請選擇至少一台設備'}), 400
+ result = get_equipment_materials(equipment_names, start_date, end_date)
+
+ elif query_type == 'rejects':
+ if not equipment_names:
+ return jsonify({'error': '請選擇至少一台設備'}), 400
+ result = get_equipment_rejects(equipment_names, start_date, end_date)
+
+ elif query_type == 'jobs':
+ if not equipment_ids:
+ return jsonify({'error': '請選擇至少一台設備'}), 400
+ result = get_equipment_jobs(equipment_ids, start_date, end_date)
+
+ if 'error' in result:
+ return jsonify(result), 400
+
+ return jsonify(result)
+
+
+# ============================================================
+# Equipment List API (for selection UI)
+# ============================================================
+
+@query_tool_bp.route('/api/query-tool/equipment-list', methods=['GET'])
+def get_equipment_list():
+ """Get available equipment for selection.
+
+ Returns equipment from cache for equipment selection UI.
+ """
+ from mes_dashboard.services.resource_cache import get_all_resources
+
+ try:
+ resources = get_all_resources()
+ if not resources:
+ return jsonify({'error': '無法載入設備資料'}), 500
+
+ # Return minimal data for selection UI
+ data = []
+ for r in resources:
+ data.append({
+ 'RESOURCEID': r.get('RESOURCEID'),
+ 'RESOURCENAME': r.get('RESOURCENAME'),
+ 'WORKCENTERNAME': r.get('WORKCENTERNAME'),
+ 'RESOURCEFAMILYNAME': r.get('RESOURCEFAMILYNAME'),
+ })
+
+ # Sort by WORKCENTERNAME, then RESOURCENAME
+ data.sort(key=lambda x: (x.get('WORKCENTERNAME', ''), x.get('RESOURCENAME', '')))
+
+ return jsonify({
+ 'data': data,
+ 'total': len(data)
+ })
+
+ except Exception as exc:
+ return jsonify({'error': f'載入設備資料失敗: {str(exc)}'}), 500
+
+
+# ============================================================
+# Workcenter Groups API (for filtering)
+# ============================================================
+
+@query_tool_bp.route('/api/query-tool/workcenter-groups', methods=['GET'])
+def get_workcenter_groups_list():
+ """Get available workcenter groups for filtering.
+
+ Returns workcenter groups list sorted by sequence.
+ Used for production history filtering UI.
+ """
+ from mes_dashboard.services.filter_cache import get_workcenter_groups
+
+ try:
+ groups = get_workcenter_groups()
+ if groups is None:
+ return jsonify({'error': '無法載入站點群組資料'}), 500
+
+ return jsonify({
+ 'data': groups,
+ 'total': len(groups)
+ })
+
+ except Exception as exc:
+ return jsonify({'error': f'載入站點群組失敗: {str(exc)}'}), 500
+
+
+# ============================================================
+# CSV Export API
+# ============================================================
+
+@query_tool_bp.route('/api/query-tool/export-csv', methods=['POST'])
+def export_csv():
+ """Export query results as CSV.
+
+ Expects JSON body:
+ {
+ "export_type": "lot_history" | "adjacent_lots" | "lot_materials" |
+ "lot_rejects" | "lot_holds" | "lot_jobs" |
+ "equipment_status_hours" | "equipment_lots" |
+ "equipment_materials" | "equipment_rejects" | "equipment_jobs",
+ "params": { ... query parameters ... }
+ }
+
+ Returns streaming CSV response.
+ """
+ data = request.get_json()
+
+ if not data:
+ return jsonify({'error': '請求內容不可為空'}), 400
+
+ export_type = data.get('export_type')
+ params = data.get('params', {})
+
+ # Get data based on export type
+ result = None
+ filename = 'export.csv'
+
+ try:
+ if export_type == 'lot_history':
+ container_id = params.get('container_id')
+ if not container_id:
+ return jsonify({'error': '請指定 CONTAINERID'}), 400
+ result = get_lot_history(container_id)
+ filename = f'lot_history_{container_id}.csv'
+
+ elif export_type == 'adjacent_lots':
+ result = get_adjacent_lots(
+ params.get('equipment_id'),
+ params.get('target_time'),
+ params.get('time_window', 24)
+ )
+ filename = 'adjacent_lots.csv'
+
+ elif export_type == 'lot_materials':
+ container_id = params.get('container_id')
+ result = get_lot_materials(container_id)
+ filename = f'lot_materials_{container_id}.csv'
+
+ elif export_type == 'lot_rejects':
+ container_id = params.get('container_id')
+ result = get_lot_rejects(container_id)
+ filename = f'lot_rejects_{container_id}.csv'
+
+ elif export_type == 'lot_holds':
+ container_id = params.get('container_id')
+ result = get_lot_holds(container_id)
+ filename = f'lot_holds_{container_id}.csv'
+
+ elif export_type == 'lot_splits':
+ container_id = params.get('container_id')
+ result = get_lot_splits(container_id)
+ # Flatten nested structure for CSV
+ if result and 'data' in result:
+ flat_data = []
+ for item in result['data']:
+ serial_number = item.get('serial_number', '')
+ txn_date = item.get('txn_date', '')
+ for lot in item.get('lots', []):
+ flat_data.append({
+ '成品流水號': serial_number,
+ 'LOT ID': lot.get('lot_id', ''),
+ '規格': lot.get('spec_name', ''),
+ '數量': lot.get('qty', ''),
+ '合併序號': lot.get('combine_seq', ''),
+ '交易時間': txn_date,
+ })
+ result['data'] = flat_data
+ filename = f'lot_splits_{container_id}.csv'
+
+ elif export_type == 'lot_jobs':
+ result = get_lot_jobs(
+ params.get('equipment_id'),
+ params.get('time_start'),
+ params.get('time_end')
+ )
+ filename = 'lot_jobs.csv'
+
+ elif export_type == 'equipment_status_hours':
+ result = get_equipment_status_hours(
+ params.get('equipment_ids', []),
+ params.get('start_date'),
+ params.get('end_date')
+ )
+ filename = 'equipment_status_hours.csv'
+
+ elif export_type == 'equipment_lots':
+ result = get_equipment_lots(
+ params.get('equipment_ids', []),
+ params.get('start_date'),
+ params.get('end_date')
+ )
+ filename = 'equipment_lots.csv'
+
+ elif export_type == 'equipment_materials':
+ result = get_equipment_materials(
+ params.get('equipment_names', []),
+ params.get('start_date'),
+ params.get('end_date')
+ )
+ filename = 'equipment_materials.csv'
+
+ elif export_type == 'equipment_rejects':
+ result = get_equipment_rejects(
+ params.get('equipment_names', []),
+ params.get('start_date'),
+ params.get('end_date')
+ )
+ filename = 'equipment_rejects.csv'
+
+ elif export_type == 'equipment_jobs':
+ result = get_equipment_jobs(
+ params.get('equipment_ids', []),
+ params.get('start_date'),
+ params.get('end_date')
+ )
+ filename = 'equipment_jobs.csv'
+
+ else:
+ return jsonify({'error': f'不支援的匯出類型: {export_type}'}), 400
+
+ if result is None or 'error' in result:
+ error_msg = result.get('error', '查詢失敗') if result else '查詢失敗'
+ return jsonify({'error': error_msg}), 400
+
+ export_data = result.get('data', [])
+ if not export_data:
+ return jsonify({'error': '查無資料'}), 404
+
+ # Stream CSV response
+ return Response(
+ generate_csv_stream(export_data),
+ mimetype='text/csv; charset=utf-8',
+ headers={
+ 'Content-Disposition': f'attachment; filename={filename}'
+ }
+ )
+
+ except Exception as exc:
+ return jsonify({'error': f'匯出失敗: {str(exc)}'}), 500
diff --git a/src/mes_dashboard/routes/tmtt_defect_routes.py b/src/mes_dashboard/routes/tmtt_defect_routes.py
new file mode 100644
index 0000000..78b11fc
--- /dev/null
+++ b/src/mes_dashboard/routes/tmtt_defect_routes.py
@@ -0,0 +1,82 @@
+# -*- coding: utf-8 -*-
+"""TMTT Defect Analysis API routes.
+
+Contains Flask Blueprint for TMTT printing & lead form defect analysis endpoints.
+"""
+
+from flask import Blueprint, jsonify, request, Response
+
+from mes_dashboard.services.tmtt_defect_service import (
+ query_tmtt_defect_analysis,
+ export_csv,
+)
+
+# Create Blueprint
+tmtt_defect_bp = Blueprint(
+ 'tmtt_defect',
+ __name__,
+ url_prefix='/api/tmtt-defect'
+)
+
+
+@tmtt_defect_bp.route('/analysis', methods=['GET'])
+def api_tmtt_defect_analysis():
+ """API: Get TMTT defect analysis data (KPI + charts + detail).
+
+ Query Parameters:
+ start_date: Start date (YYYY-MM-DD), required
+ end_date: End date (YYYY-MM-DD), required
+
+ Returns:
+ JSON with kpi, charts, detail sections.
+ """
+ start_date = request.args.get('start_date')
+ end_date = request.args.get('end_date')
+
+ if not start_date or not end_date:
+ return jsonify({
+ 'success': False,
+ 'error': '必須提供 start_date 和 end_date 參數'
+ }), 400
+
+ result = query_tmtt_defect_analysis(start_date, end_date)
+
+ if result is None:
+ return jsonify({'success': False, 'error': '查詢失敗，請稍後再試'}), 500
+
+ if 'error' in result:
+ return jsonify({'success': False, 'error': result['error']}), 400
+
+ return jsonify({'success': True, 'data': result})
+
+
+@tmtt_defect_bp.route('/export', methods=['GET'])
+def api_tmtt_defect_export():
+ """API: Export TMTT defect detail data as CSV.
+
+ Query Parameters:
+ start_date: Start date (YYYY-MM-DD), required
+ end_date: End date (YYYY-MM-DD), required
+
+ Returns:
+ CSV file download.
+ """
+ start_date = request.args.get('start_date')
+ end_date = request.args.get('end_date')
+
+ if not start_date or not end_date:
+ return jsonify({
+ 'success': False,
+ 'error': '必須提供 start_date 和 end_date 參數'
+ }), 400
+
+ filename = f"tmtt_defect_{start_date}_to_{end_date}.csv"
+
+ return Response(
+ export_csv(start_date, end_date),
+ mimetype='text/csv',
+ headers={
+ 'Content-Disposition': f'attachment; filename={filename}',
+ 'Content-Type': 'text/csv; charset=utf-8-sig'
+ }
+ )
diff --git a/src/mes_dashboard/services/query_tool_service.py b/src/mes_dashboard/services/query_tool_service.py
new file mode 100644
index 0000000..915aac0
--- /dev/null
+++ b/src/mes_dashboard/services/query_tool_service.py
@@ -0,0 +1,1329 @@
+# -*- coding: utf-8 -*-
+"""Query Tool Service.
+
+Provides functions for batch tracing and equipment period queries:
+- LOT resolution (LOT ID / Serial Number / Work Order → CONTAINERID)
+- LOT production history and adjacent lots
+- LOT associations (materials, rejects, holds, jobs)
+- Equipment period queries (status hours, lots, materials, rejects, jobs)
+- CSV export functionality
+
+Architecture:
+- All historical tables use CONTAINERID as primary key (NOT CONTAINERNAME)
+- EQUIPMENTID = RESOURCEID (same ID system)
+- Uses SQLLoader for SQL templates
+- Uses QueryBuilder for dynamic conditions
+"""
+
+import csv
+import io
+import logging
+from datetime import datetime, timedelta
+from decimal import Decimal
+from typing import Any, Dict, List, Optional, Generator
+
+import pandas as pd
+
+from mes_dashboard.core.database import read_sql_df
+from mes_dashboard.sql import SQLLoader
+
+try:
+ from mes_dashboard.core.database import read_sql_df_slow
+except ImportError:
+ def read_sql_df_slow(sql: str, params: Optional[Dict[str, Any]] = None, timeout_seconds: int = 120):
+ """Compatibility wrapper when read_sql_df_slow is unavailable."""
+ return read_sql_df(sql, params)
+
+logger = logging.getLogger('mes_dashboard.query_tool')
+
+# Constants
+BATCH_SIZE = 1000 # Oracle IN clause limit
+MAX_LOT_IDS = 50
+MAX_SERIAL_NUMBERS = 50
+MAX_WORK_ORDERS = 10
+MAX_EQUIPMENTS = 20
+MAX_DATE_RANGE_DAYS = 90
+DEFAULT_TIME_WINDOW_HOURS = 168 # 1 week for better PJ_TYPE detection
+ADJACENT_LOTS_COUNT = 3
+
+
+# ============================================================
+# Validation Functions
+# ============================================================
+
+def validate_date_range(start_date: str, end_date: str, max_days: int = MAX_DATE_RANGE_DAYS) -> Optional[str]:
+ """Validate date range.
+
+ Args:
+ start_date: Start date in YYYY-MM-DD format
+ end_date: End date in YYYY-MM-DD format
+ max_days: Maximum allowed days
+
+ Returns:
+ Error message if validation fails, None if valid.
+ """
+ try:
+ start = datetime.strptime(start_date, '%Y-%m-%d')
+ end = datetime.strptime(end_date, '%Y-%m-%d')
+
+ if end < start:
+ return '結束日期不可早於起始日期'
+
+ diff = (end - start).days
+ if diff > max_days:
+ return f'日期範圍不可超過 {max_days} 天'
+
+ return None
+ except ValueError as e:
+ return f'日期格式錯誤: {e}'
+
+
+def validate_lot_input(input_type: str, values: List[str]) -> Optional[str]:
+ """Validate LOT input based on type.
+
+ Args:
+ input_type: Type of input ('lot_id', 'serial_number', 'work_order')
+ values: List of input values
+
+ Returns:
+ Error message if validation fails, None if valid.
+ """
+ if not values:
+ return '請輸入至少一個查詢條件'
+
+ limits = {
+ 'lot_id': MAX_LOT_IDS,
+ 'serial_number': MAX_SERIAL_NUMBERS,
+ 'work_order': MAX_WORK_ORDERS,
+ }
+
+ limit = limits.get(input_type, MAX_LOT_IDS)
+ if len(values) > limit:
+ return f'輸入數量超過上限 ({limit} 筆)'
+
+ return None
+
+
+def validate_equipment_input(equipment_ids: List[str]) -> Optional[str]:
+ """Validate equipment input.
+
+ Args:
+ equipment_ids: List of equipment IDs
+
+ Returns:
+ Error message if validation fails, None if valid.
+ """
+ if not equipment_ids:
+ return '請選擇至少一台設備'
+
+ if len(equipment_ids) > MAX_EQUIPMENTS:
+ return f'設備數量不得超過 {MAX_EQUIPMENTS} 台'
+
+ return None
+
+
+# ============================================================
+# Helper Functions
+# ============================================================
+
+def _build_in_clause(values: List[str], max_chunk_size: int = BATCH_SIZE) -> List[str]:
+ """Build SQL IN clause lists for values.
+
+ Oracle has a limit of ~1000 items per IN clause, so we chunk if needed.
+
+ Args:
+ values: List of values.
+ max_chunk_size: Maximum items per IN clause.
+
+ Returns:
+ List of SQL IN clause strings (e.g., "'val1', 'val2', 'val3'").
+ """
+ if not values:
+ return []
+
+ # Escape single quotes
+ escaped = [v.replace("'", "''") for v in values]
+
+ # Chunk into groups
+ chunks = []
+ for i in range(0, len(escaped), max_chunk_size):
+ chunk = escaped[i:i + max_chunk_size]
+ chunks.append("'" + "', '".join(chunk) + "'")
+
+ return chunks
+
+
+def _build_in_filter(values: List[str], column: str) -> str:
+ """Build SQL IN filter clause.
+
+ Args:
+ values: List of values.
+ column: Column name.
+
+ Returns:
+ SQL condition string.
+ """
+ chunks = _build_in_clause(values)
+ if not chunks:
+ return "1=0"
+
+ if len(chunks) == 1:
+ return f"{column} IN ({chunks[0]})"
+
+ conditions = [f"{column} IN ({chunk})" for chunk in chunks]
+ return "(" + " OR ".join(conditions) + ")"
+
+
+def _df_to_records(df: pd.DataFrame) -> List[Dict[str, Any]]:
+ """Convert DataFrame to list of records with proper type handling.
+
+ Args:
+ df: DataFrame to convert
+
+ Returns:
+ List of dictionaries
+ """
+ if df is None or df.empty:
+ return []
+
+ data = []
+ for _, row in df.iterrows():
+ record = {}
+ for col in df.columns:
+ value = row[col]
+ if pd.isna(value):
+ record[col] = None
+ elif isinstance(value, datetime):
+ record[col] = value.strftime('%Y-%m-%d %H:%M:%S')
+ elif isinstance(value, pd.Timestamp):
+ record[col] = value.strftime('%Y-%m-%d %H:%M:%S')
+ elif isinstance(value, Decimal):
+ record[col] = float(value)
+ else:
+ record[col] = value
+ data.append(record)
+
+ return data
+
+
+# ============================================================
+# LOT Resolution Functions
+# ============================================================
+
+def resolve_lots(input_type: str, values: List[str]) -> Dict[str, Any]:
+ """Resolve input to CONTAINERID list.
+
+ All historical tables (LOTWIPHISTORY, LOTMATERIALSHISTORY, etc.)
+ use CONTAINERID as primary key, NOT CONTAINERNAME.
+ This function converts user input to CONTAINERID for subsequent queries.
+
+ Args:
+ input_type: Type of input ('lot_id', 'serial_number', 'work_order')
+ values: List of input values
+
+ Returns:
+ Dict with 'data' (list of {container_id, input_value}),
+ 'total', 'input_count', or 'error'.
+ """
+ # Validate input
+ validation_error = validate_lot_input(input_type, values)
+ if validation_error:
+ return {'error': validation_error}
+
+ # Clean values
+ cleaned = [v.strip() for v in values if v.strip()]
+ if not cleaned:
+ return {'error': '請輸入有效的查詢條件'}
+
+ try:
+ if input_type == 'lot_id':
+ return _resolve_by_lot_id(cleaned)
+ elif input_type == 'serial_number':
+ return _resolve_by_serial_number(cleaned)
+ elif input_type == 'work_order':
+ return _resolve_by_work_order(cleaned)
+ else:
+ return {'error': f'不支援的輸入類型: {input_type}'}
+
+ except Exception as exc:
+ logger.error(f"LOT resolution failed: {exc}")
+ return {'error': f'解析失敗: {str(exc)}'}
+
+
+def _resolve_by_lot_id(lot_ids: List[str]) -> Dict[str, Any]:
+ """Resolve LOT IDs (CONTAINERNAME) to CONTAINERID.
+
+ Args:
+ lot_ids: List of LOT IDs (CONTAINERNAME values)
+
+ Returns:
+ Resolution result dict.
+ """
+ in_filter = _build_in_filter(lot_ids, 'CONTAINERNAME')
+ sql = SQLLoader.load("query_tool/lot_resolve_id")
+ sql = sql.replace("{{ CONTAINER_NAMES }}", in_filter.replace("CONTAINERNAME IN (", "").rstrip(")"))
+
+ # Direct IN clause construction
+ sql = f"""
+ SELECT
+ CONTAINERID,
+ CONTAINERNAME,
+ MFGORDERNAME,
+ SPECNAME,
+ QTY
+ FROM DWH.DW_MES_CONTAINER
+ WHERE {in_filter}
+ """
+
+ df = read_sql_df(sql, {})
+ data = _df_to_records(df)
+
+ # Map results
+ found = {r['CONTAINERNAME']: r for r in data}
+ results = []
+ not_found = []
+
+ for lot_id in lot_ids:
+ if lot_id in found:
+ results.append({
+ 'container_id': found[lot_id]['CONTAINERID'],
+ 'lot_id': found[lot_id]['CONTAINERNAME'], # LOT ID for display
+ 'input_value': lot_id,
+ 'spec_name': found[lot_id].get('SPECNAME'),
+ 'qty': found[lot_id].get('QTY'),
+ })
+ else:
+ not_found.append(lot_id)
+
+ logger.info(f"LOT ID resolution: {len(results)} found, {len(not_found)} not found")
+
+ return {
+ 'data': results,
+ 'total': len(results),
+ 'input_count': len(lot_ids),
+ 'not_found': not_found,
+ }
+
+
+def _resolve_by_serial_number(serial_numbers: List[str]) -> Dict[str, Any]:
+ """Resolve serial numbers (FINISHEDNAME) to CONTAINERID.
+
+ Note: One serial number may map to multiple CONTAINERIDs.
+
+ Args:
+ serial_numbers: List of serial numbers
+
+ Returns:
+ Resolution result dict.
+ """
+ in_filter = _build_in_filter(serial_numbers, 'p.FINISHEDNAME')
+
+ # JOIN with CONTAINER to get LOT ID (CONTAINERNAME)
+ sql = f"""
+ SELECT DISTINCT
+ p.CONTAINERID,
+ p.FINISHEDNAME,
+ c.CONTAINERNAME,
+ c.SPECNAME
+ FROM DWH.DW_MES_PJ_COMBINEDASSYLOTS p
+ LEFT JOIN DWH.DW_MES_CONTAINER c ON p.CONTAINERID = c.CONTAINERID
+ WHERE {in_filter}
+ """
+
+ df = read_sql_df(sql, {})
+ data = _df_to_records(df)
+
+ # Group by serial number
+ sn_to_containers = {}
+ for r in data:
+ sn = r['FINISHEDNAME']
+ if sn not in sn_to_containers:
+ sn_to_containers[sn] = []
+ sn_to_containers[sn].append({
+ 'container_id': r['CONTAINERID'],
+ 'lot_id': r.get('CONTAINERNAME'),
+ 'spec_name': r.get('SPECNAME'),
+ })
+
+ results = []
+ not_found = []
+
+ for sn in serial_numbers:
+ if sn in sn_to_containers:
+ for item in sn_to_containers[sn]:
+ results.append({
+ 'container_id': item['container_id'],
+ 'lot_id': item['lot_id'],
+ 'input_value': sn,
+ 'spec_name': item.get('spec_name'),
+ })
+ else:
+ not_found.append(sn)
+
+ 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),
+ 'not_found': not_found,
+ }
+
+
+def _resolve_by_work_order(work_orders: List[str]) -> Dict[str, Any]:
+ """Resolve work orders (PJ_WORKORDER) to CONTAINERID.
+
+ Note: One work order may expand to many CONTAINERIDs (can be 100+).
+
+ Args:
+ work_orders: List of work orders
+
+ Returns:
+ Resolution result dict.
+ """
+ in_filter = _build_in_filter(work_orders, 'h.PJ_WORKORDER')
+
+ # JOIN with CONTAINER to get LOT ID (CONTAINERNAME)
+ sql = f"""
+ SELECT DISTINCT
+ h.CONTAINERID,
+ h.PJ_WORKORDER,
+ c.CONTAINERNAME,
+ c.SPECNAME
+ FROM DWH.DW_MES_LOTWIPHISTORY h
+ LEFT JOIN DWH.DW_MES_CONTAINER c ON h.CONTAINERID = c.CONTAINERID
+ WHERE {in_filter}
+ """
+
+ df = read_sql_df(sql, {})
+ data = _df_to_records(df)
+
+ # Group by work order
+ wo_to_containers = {}
+ for r in data:
+ wo = r['PJ_WORKORDER']
+ if wo not in wo_to_containers:
+ wo_to_containers[wo] = []
+ wo_to_containers[wo].append({
+ 'container_id': r['CONTAINERID'],
+ 'lot_id': r.get('CONTAINERNAME'),
+ 'spec_name': r.get('SPECNAME'),
+ })
+
+ results = []
+ not_found = []
+ expansion_info = {}
+
+ for wo in work_orders:
+ if wo in wo_to_containers:
+ expansion_info[wo] = len(wo_to_containers[wo])
+ for item in wo_to_containers[wo]:
+ results.append({
+ 'container_id': item['container_id'],
+ 'lot_id': item['lot_id'],
+ 'input_value': wo,
+ 'spec_name': item.get('spec_name'),
+ })
+ else:
+ not_found.append(wo)
+
+ logger.info(f"Work order resolution: {len(results)} containers from {len(work_orders)} orders")
+
+ return {
+ 'data': results,
+ 'total': len(results),
+ 'input_count': len(work_orders),
+ 'not_found': not_found,
+ 'expansion_info': expansion_info,
+ }
+
+
+# ============================================================
+# LOT History Functions
+# ============================================================
+
+def _get_workcenters_for_groups(groups: List[str]) -> List[str]:
+ """Get workcenter names for given groups using filter_cache.
+
+ Args:
+ groups: List of WORKCENTER_GROUP names
+
+ Returns:
+ List of WORKCENTERNAME values
+ """
+ from mes_dashboard.services.filter_cache import get_workcenters_for_groups
+ return get_workcenters_for_groups(groups)
+
+
+def get_lot_history(
+ container_id: str,
+ workcenter_groups: Optional[List[str]] = None
+) -> Dict[str, Any]:
+ """Get production history for a LOT.
+
+ Args:
+ container_id: CONTAINERID (16-char hex)
+ workcenter_groups: Optional list of WORKCENTER_GROUP names to filter by
+
+ Returns:
+ Dict with 'data' (history records) and 'total', or 'error'.
+ """
+ if not container_id:
+ return {'error': '請指定 CONTAINERID'}
+
+ try:
+ sql = SQLLoader.load("query_tool/lot_history")
+ params = {'container_id': container_id}
+
+ # Add workcenter filter if groups specified
+ workcenter_filter = ""
+ if workcenter_groups:
+ workcenters = _get_workcenters_for_groups(workcenter_groups)
+ if workcenters:
+ workcenter_filter = f"AND {_build_in_filter(workcenters, 'h.WORKCENTERNAME')}"
+ logger.debug(
+ f"Filtering by {len(workcenter_groups)} groups "
+ f"({len(workcenters)} workcenters)"
+ )
+
+ # Replace placeholder in SQL
+ sql = sql.replace("{{ WORKCENTER_FILTER }}", workcenter_filter)
+
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ logger.debug(f"LOT history: {len(data)} records for {container_id}")
+
+ return {
+ 'data': data,
+ 'total': len(data),
+ 'container_id': container_id,
+ 'filtered_by_groups': workcenter_groups or [],
+ }
+
+ except Exception as exc:
+ logger.error(f"LOT history query failed for {container_id}: {exc}")
+ return {'error': f'查詢失敗: {str(exc)}'}
+
+
+def get_adjacent_lots(
+ equipment_id: str,
+ target_trackin_time: str,
+ time_window_hours: int = DEFAULT_TIME_WINDOW_HOURS
+) -> Dict[str, Any]:
+ """Get adjacent lots (前後批) for a specific equipment.
+
+ Finds lots processed before and after the target lot on the same equipment.
+ Searches until finding a different PJ_TYPE, with minimum 3 lots in each direction.
+
+ Args:
+ equipment_id: Target equipment ID
+ target_trackin_time: Target lot's TRACKINTIMESTAMP (ISO format)
+ time_window_hours: Time window in hours (default 24)
+
+ Returns:
+ Dict with 'data' (adjacent lots with relative_position) and metadata.
+ """
+ if not all([equipment_id, target_trackin_time]):
+ return {'error': '請指定設備和目標時間'}
+
+ try:
+ # Parse target time
+ if isinstance(target_trackin_time, str):
+ target_time = datetime.strptime(target_trackin_time, '%Y-%m-%d %H:%M:%S')
+ else:
+ target_time = target_trackin_time
+
+ sql = SQLLoader.load("query_tool/adjacent_lots")
+ params = {
+ 'equipment_id': equipment_id,
+ 'target_trackin_time': target_time,
+ 'time_window_hours': time_window_hours,
+ }
+
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ logger.debug(f"Adjacent lots: {len(data)} records for {equipment_id}")
+
+ return {
+ 'data': data,
+ 'total': len(data),
+ 'equipment_id': equipment_id,
+ 'target_time': target_trackin_time,
+ 'time_window_hours': time_window_hours,
+ }
+
+ except Exception as exc:
+ logger.error(f"Adjacent lots query failed: {exc}")
+ return {'error': f'查詢失敗: {str(exc)}'}
+
+
+# ============================================================
+# LOT Association Functions
+# ============================================================
+
+def get_lot_materials(container_id: str) -> Dict[str, Any]:
+ """Get material consumption records for a LOT.
+
+ Args:
+ container_id: CONTAINERID (16-char hex)
+
+ Returns:
+ Dict with 'data' (material records) and 'total', or 'error'.
+ """
+ if not container_id:
+ return {'error': '請指定 CONTAINERID'}
+
+ try:
+ sql = SQLLoader.load("query_tool/lot_materials")
+ params = {'container_id': container_id}
+
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ logger.debug(f"LOT materials: {len(data)} records for {container_id}")
+
+ return {
+ 'data': data,
+ 'total': len(data),
+ 'container_id': container_id,
+ }
+
+ except Exception as exc:
+ logger.error(f"LOT materials query failed for {container_id}: {exc}")
+ return {'error': f'查詢失敗: {str(exc)}'}
+
+
+def get_lot_rejects(container_id: str) -> Dict[str, Any]:
+ """Get reject (defect) records for a LOT.
+
+ Args:
+ container_id: CONTAINERID (16-char hex)
+
+ Returns:
+ Dict with 'data' (reject records) and 'total', or 'error'.
+ """
+ if not container_id:
+ return {'error': '請指定 CONTAINERID'}
+
+ try:
+ sql = SQLLoader.load("query_tool/lot_rejects")
+ params = {'container_id': container_id}
+
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ logger.debug(f"LOT rejects: {len(data)} records for {container_id}")
+
+ return {
+ 'data': data,
+ 'total': len(data),
+ 'container_id': container_id,
+ }
+
+ except Exception as exc:
+ logger.error(f"LOT rejects query failed for {container_id}: {exc}")
+ return {'error': f'查詢失敗: {str(exc)}'}
+
+
+def get_lot_holds(container_id: str) -> Dict[str, Any]:
+ """Get HOLD/RELEASE records for a LOT.
+
+ Args:
+ container_id: CONTAINERID (16-char hex)
+
+ Returns:
+ Dict with 'data' (hold records with HOLD_STATUS and HOLD_HOURS) and 'total'.
+ """
+ if not container_id:
+ return {'error': '請指定 CONTAINERID'}
+
+ try:
+ sql = SQLLoader.load("query_tool/lot_holds")
+ params = {'container_id': container_id}
+
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ logger.debug(f"LOT holds: {len(data)} records for {container_id}")
+
+ return {
+ 'data': data,
+ 'total': len(data),
+ 'container_id': container_id,
+ }
+
+ except Exception as exc:
+ logger.error(f"LOT holds query failed for {container_id}: {exc}")
+ return {'error': f'查詢失敗: {str(exc)}'}
+
+
+def get_lot_split_merge_history(
+ work_order: str,
+ current_container_id: str = None
+) -> Dict[str, Any]:
+ """Get complete split/merge history for a work order (完整拆併批歷史).
+
+ Queries DW_MES_HM_LOTMOVEOUT for SplitLot and CombineLot operations
+ throughout the entire production history.
+
+ Uses MFGORDERNAME (indexed) instead of CONTAINERID for much better performance.
+
+ Operation sources (CALLBYCDONAME):
+ - AssemblyMotherLotSchePrep: Assembly mother lot scheduling
+ - LotSplit: Standard lot split
+ - PJ_TMTTCombine: TMTT combine operation
+
+ LOT ID patterns:
+ - A00-001-01: Split at production station (製程站點拆分)
+ - A00-001-01C: Split at TMTT (TMTT 拆分)
+
+ Args:
+ work_order: MFGORDERNAME value (e.g., GA25120713)
+ current_container_id: Current LOT's CONTAINERID for highlighting
+
+ Returns:
+ Dict with 'data' (split/merge history records) and 'total', or 'error'.
+ """
+ if not work_order:
+ return {'error': '請指定工單號', 'data': [], 'total': 0}
+
+ try:
+ sql = SQLLoader.load("query_tool/lot_split_merge_history")
+ params = {'work_order': work_order}
+
+ logger.info(f"Starting split/merge history query for MFGORDERNAME={work_order}")
+
+ # Use slow query connection with 120s timeout
+ # Note: DW_MES_HM_LOTMOVEOUT has 48M rows, no index on CONTAINERID/FROMCONTAINERID
+ # Query by MFGORDERNAME is faster but still needs extra time
+ df = read_sql_df_slow(sql, params, timeout_seconds=120)
+ data = _df_to_records(df)
+
+ # Process records for display
+ processed = []
+ for record in data:
+ op_type = record.get('OPERATION_TYPE', '')
+
+ # Determine operation display name
+ if op_type == 'SplitLot':
+ op_display = '拆批'
+ elif op_type == 'CombineLot':
+ op_display = '併批'
+ else:
+ op_display = op_type
+
+ target_cid = record.get('TARGET_CONTAINERID')
+ source_cid = record.get('SOURCE_CONTAINERID')
+
+ processed.append({
+ 'history_id': record.get('HISTORYMAINLINEID'),
+ 'operation_type': op_type,
+ 'operation_type_display': op_display,
+ 'target_container_id': target_cid,
+ 'target_lot': record.get('TARGET_LOT'),
+ 'source_container_id': source_cid,
+ 'source_lot': record.get('SOURCE_LOT'),
+ 'target_qty': record.get('TARGET_QTY'),
+ 'txn_date': record.get('TXNDATE'),
+ # Highlight if this record involves the current LOT
+ 'is_current_lot_source': current_container_id and source_cid == current_container_id,
+ 'is_current_lot_target': current_container_id and target_cid == current_container_id,
+ })
+
+ logger.info(f"Split/merge history completed: {len(processed)} records for MFGORDERNAME={work_order}")
+
+ return {
+ 'data': processed,
+ 'total': len(processed),
+ 'work_order': work_order,
+ }
+
+ except Exception as exc:
+ error_str = str(exc)
+ logger.error(f"Split/merge history query failed for MFGORDERNAME={work_order}: {exc}")
+
+ # Check for timeout error (DPY-4024, ORA-01013, or TimeoutError from read_sql_df_slow)
+ if 'timeout' in error_str.lower() or 'DPY-4024' in error_str or 'ORA-01013' in error_str:
+ return {
+ 'error': f'查詢逾時（超過 120 秒）',
+ 'timeout': True,
+ 'data': [],
+ 'total': 0
+ }
+
+ return {'error': f'查詢失敗: {error_str}', 'data': [], 'total': 0}
+
+
+def _get_mfg_order_for_lot(container_id: str) -> Optional[str]:
+ """Get MFGORDERNAME for a LOT from DW_MES_CONTAINER.
+
+ Note: MFGORDERNAME is the field used in DW_MES_HM_LOTMOVEOUT (indexed).
+ This may differ from PJ_WORKORDER in some cases.
+
+ Args:
+ container_id: CONTAINERID (16-char hex)
+
+ Returns:
+ MFGORDERNAME string (e.g., 'GA25120713') or None if not found.
+ """
+ try:
+ sql = """
+ SELECT MFGORDERNAME
+ FROM DWH.DW_MES_CONTAINER
+ WHERE CONTAINERID = :container_id
+ AND MFGORDERNAME IS NOT NULL
+ """
+ df = read_sql_df(sql, {'container_id': container_id})
+ if not df.empty:
+ return df.iloc[0]['MFGORDERNAME']
+ return None
+ except Exception as exc:
+ logger.warning(f"Failed to get MFGORDERNAME for {container_id}: {exc}")
+ return None
+
+
+def get_lot_splits(
+ container_id: str,
+ include_production_history: bool = True # Uses dedicated slow query connection with 120s timeout
+) -> Dict[str, Any]:
+ """Get combined split/merge data for a LOT (拆併批紀錄).
+
+ Data sources:
+ 1. TMTT serial number mapping (DW_MES_PJ_COMBINEDASSYLOTS) - always included, fast
+ 2. Production split/merge history (DW_MES_HM_LOTMOVEOUT) - uses MFGORDERNAME index
+
+ PERFORMANCE NOTE:
+ Production history now queries by MFGORDERNAME (indexed) instead of CONTAINERID
+ for much better performance (~1 second vs 40+ seconds).
+
+ Args:
+ container_id: CONTAINERID (16-char hex)
+ include_production_history: If True (default), include production history query.
+
+ Returns:
+ Dict with 'production_history', 'serial_numbers', and totals.
+ """
+ if not container_id:
+ return {'error': '請指定 CONTAINERID'}
+
+ result = {
+ 'production_history': [],
+ 'serial_numbers': [],
+ 'total_history': 0,
+ 'total_serial_numbers': 0,
+ 'container_id': container_id,
+ 'production_history_skipped': not include_production_history,
+ }
+
+ # Add skip reason message if production history is disabled
+ if not include_production_history:
+ result['production_history_skip_reason'] = (
+ '生產拆併批歷史查詢已暫時停用（資料表 DW_MES_HM_LOTMOVEOUT 目前無索引）。'
+ '目前僅顯示 TMTT 成品流水號對應資料。'
+ )
+
+ # 1. Get production split/merge history by MFGORDERNAME (indexed, fast)
+ if include_production_history:
+ # Get MFGORDERNAME for this LOT (used in DW_MES_HM_LOTMOVEOUT)
+ logger.info(f"[DEBUG] Getting MFGORDERNAME for container_id={container_id}")
+ mfg_order = _get_mfg_order_for_lot(container_id)
+ logger.info(f"[DEBUG] Got MFGORDERNAME={mfg_order} for container_id={container_id}")
+
+ if mfg_order:
+ logger.info(f"Querying production history for MFGORDERNAME={mfg_order} (LOT: {container_id})")
+ history_result = get_lot_split_merge_history(
+ work_order=mfg_order,
+ current_container_id=container_id
+ )
+ logger.info(f"[DEBUG] history_result keys: {list(history_result.keys())}")
+ logger.info(f"[DEBUG] history_result total: {history_result.get('total', 0)}")
+
+ if 'error' not in history_result:
+ result['production_history'] = history_result.get('data', [])
+ result['total_history'] = history_result.get('total', 0)
+ result['work_order'] = mfg_order
+ logger.info(f"[DEBUG] production_history has {len(result['production_history'])} records")
+ elif history_result.get('timeout'):
+ # Timeout error - show user-friendly message
+ result['production_history_timeout'] = True
+ result['production_history_timeout_message'] = (
+ '生產拆併批歷史查詢超時（超過 120 秒）。此表格（DW_MES_HM_LOTMOVEOUT）'
+ '有 4800 萬筆資料且無索引，查詢時間無法預估。僅顯示 TMTT 成品流水號對應資料。'
+ )
+ result['work_order'] = mfg_order
+ logger.warning(f"Production history query timed out for {mfg_order}")
+ else:
+ # Other error
+ result['production_history_error'] = history_result.get('error')
+ logger.error(f"[DEBUG] history_result error: {history_result.get('error')}")
+ else:
+ logger.warning(f"Could not find MFGORDERNAME for {container_id}, skipping production history")
+ result['production_history_skip_reason'] = '無法取得工單號，跳過生產拆併批查詢。'
+
+ # 2. Get TMTT serial number mapping (fast - CONTAINERID has index)
+ try:
+ sql = SQLLoader.load("query_tool/lot_splits")
+ params = {'container_id': container_id}
+
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ # Group by FINISHEDNAME to show combined structure
+ grouped = {}
+ total_good_die = 0
+
+ for record in data:
+ sn = record.get('FINISHEDNAME', '')
+ if not sn or sn == 'Unknown':
+ continue
+
+ if sn not in grouped:
+ grouped[sn] = {
+ 'serial_number': sn,
+ 'lots': [],
+ 'total_good_die': 0,
+ }
+
+ ratio = record.get('PJ_COMBINEDRATIO')
+ good_die = record.get('PJ_GOODDIEQTY')
+
+ grouped[sn]['lots'].append({
+ 'container_id': record.get('CONTAINERID'),
+ 'lot_id': record.get('LOT_ID'),
+ 'work_order': record.get('PJ_WORKORDER'),
+ 'combine_ratio': ratio,
+ 'combine_ratio_pct': f"{ratio * 100:.1f}%" if ratio else '-',
+ 'good_die_qty': good_die,
+ 'original_good_die_qty': record.get('PJ_ORIGINALGOODDIEQTY'),
+ 'original_start_date': record.get('ORIGINALSTARTDATE'),
+ 'is_current': record.get('CONTAINERID') == container_id,
+ })
+
+ if good_die:
+ grouped[sn]['total_good_die'] += good_die
+ total_good_die += good_die
+
+ result['serial_numbers'] = list(grouped.values())
+ result['total_serial_numbers'] = len(grouped)
+ result['total_good_die'] = total_good_die
+
+ logger.debug(f"LOT splits: {result['total_history']} history + {result['total_serial_numbers']} serial numbers for {container_id}")
+
+ except Exception as exc:
+ logger.error(f"LOT splits query failed for {container_id}: {exc}")
+ # Don't fail completely if serial number query fails
+ result['serial_number_error'] = str(exc)
+
+ return result
+
+
+def get_lot_jobs(
+ equipment_id: str,
+ time_start: str,
+ time_end: str
+) -> Dict[str, Any]:
+ """Get JOB records for equipment during LOT processing time.
+
+ Note: EQUIPMENTID = RESOURCEID (same ID system).
+
+ Args:
+ equipment_id: Equipment ID (EQUIPMENTID from LOTWIPHISTORY)
+ time_start: Start time (ISO format)
+ time_end: End time (ISO format)
+
+ Returns:
+ Dict with 'data' (job records) and 'total', or 'error'.
+ """
+ if not all([equipment_id, time_start, time_end]):
+ return {'error': '請指定設備和時間範圍'}
+
+ try:
+ # Parse times
+ if isinstance(time_start, str):
+ start = datetime.strptime(time_start, '%Y-%m-%d %H:%M:%S')
+ else:
+ start = time_start
+
+ if isinstance(time_end, str):
+ end = datetime.strptime(time_end, '%Y-%m-%d %H:%M:%S')
+ else:
+ end = time_end
+
+ sql = SQLLoader.load("query_tool/lot_jobs")
+ params = {
+ 'equipment_id': equipment_id,
+ 'time_start': start,
+ 'time_end': end,
+ }
+
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ logger.debug(f"LOT jobs: {len(data)} records for {equipment_id}")
+
+ return {
+ 'data': data,
+ 'total': len(data),
+ 'equipment_id': equipment_id,
+ 'time_range': {'start': time_start, 'end': time_end},
+ }
+
+ except Exception as exc:
+ logger.error(f"LOT jobs query failed for {equipment_id}: {exc}")
+ return {'error': f'查詢失敗: {str(exc)}'}
+
+
+# ============================================================
+# Equipment Period Query Functions
+# ============================================================
+
+def get_equipment_status_hours(
+ equipment_ids: List[str],
+ start_date: str,
+ end_date: str
+) -> Dict[str, Any]:
+ """Get status hours statistics for equipment in a time period.
+
+ Calculates OU% = PRD / (PRD + SBY + UDT) × 100%
+
+ Args:
+ equipment_ids: List of equipment IDs
+ start_date: Start date (YYYY-MM-DD)
+ end_date: End date (YYYY-MM-DD)
+
+ Returns:
+ Dict with 'data' (status hours per equipment) and aggregated totals.
+ """
+ # Validate inputs
+ validation_error = validate_equipment_input(equipment_ids)
+ if validation_error:
+ return {'error': validation_error}
+
+ validation_error = validate_date_range(start_date, end_date)
+ if validation_error:
+ return {'error': validation_error}
+
+ try:
+ # Build filter on HISTORYID (which maps to RESOURCEID)
+ equipment_filter = _build_in_filter(equipment_ids, 'r.RESOURCEID')
+
+ sql = SQLLoader.load("query_tool/equipment_status_hours")
+ sql = sql.replace("{{ EQUIPMENT_FILTER }}", equipment_filter)
+
+ params = {'start_date': start_date, 'end_date': end_date}
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ # Calculate totals
+ total_prd = sum(r.get('PRD_HOURS', 0) or 0 for r in data)
+ total_sby = sum(r.get('SBY_HOURS', 0) or 0 for r in data)
+ total_udt = sum(r.get('UDT_HOURS', 0) or 0 for r in data)
+ total_sdt = sum(r.get('SDT_HOURS', 0) or 0 for r in data)
+ total_egt = sum(r.get('EGT_HOURS', 0) or 0 for r in data)
+ total_nst = sum(r.get('NST_HOURS', 0) or 0 for r in data)
+ total_hours = sum(r.get('TOTAL_HOURS', 0) or 0 for r in data)
+
+ denominator = total_prd + total_sby + total_udt
+ total_ou = round(total_prd * 100.0 / denominator, 2) if denominator > 0 else 0
+
+ logger.info(f"Equipment status hours: {len(data)} equipment records")
+
+ return {
+ 'data': data,
+ 'total': len(data),
+ 'totals': {
+ 'PRD_HOURS': total_prd,
+ 'SBY_HOURS': total_sby,
+ 'UDT_HOURS': total_udt,
+ 'SDT_HOURS': total_sdt,
+ 'EGT_HOURS': total_egt,
+ 'NST_HOURS': total_nst,
+ 'TOTAL_HOURS': total_hours,
+ 'OU_PERCENT': total_ou,
+ },
+ 'date_range': {'start': start_date, 'end': end_date},
+ }
+
+ except Exception as exc:
+ logger.error(f"Equipment status hours query failed: {exc}")
+ return {'error': f'查詢失敗: {str(exc)}'}
+
+
+def get_equipment_lots(
+ equipment_ids: List[str],
+ start_date: str,
+ end_date: str
+) -> Dict[str, Any]:
+ """Get lots processed by equipment in a time period.
+
+ Args:
+ equipment_ids: List of equipment IDs
+ start_date: Start date (YYYY-MM-DD)
+ end_date: End date (YYYY-MM-DD)
+
+ Returns:
+ Dict with 'data' (lot records) and 'total'.
+ """
+ # Validate inputs
+ validation_error = validate_equipment_input(equipment_ids)
+ if validation_error:
+ return {'error': validation_error}
+
+ validation_error = validate_date_range(start_date, end_date)
+ if validation_error:
+ return {'error': validation_error}
+
+ try:
+ equipment_filter = _build_in_filter(equipment_ids, 'h.EQUIPMENTID')
+
+ sql = SQLLoader.load("query_tool/equipment_lots")
+ sql = sql.replace("{{ EQUIPMENT_FILTER }}", equipment_filter)
+
+ params = {'start_date': start_date, 'end_date': end_date}
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ logger.info(f"Equipment lots: {len(data)} records")
+
+ return {
+ 'data': data,
+ 'total': len(data),
+ 'date_range': {'start': start_date, 'end': end_date},
+ }
+
+ except Exception as exc:
+ logger.error(f"Equipment lots query failed: {exc}")
+ return {'error': f'查詢失敗: {str(exc)}'}
+
+
+def get_equipment_materials(
+ equipment_names: List[str],
+ start_date: str,
+ end_date: str
+) -> Dict[str, Any]:
+ """Get material consumption summary for equipment in a time period.
+
+ Note: LOTMATERIALSHISTORY uses EQUIPMENTNAME for filtering.
+
+ Args:
+ equipment_names: List of equipment names
+ start_date: Start date (YYYY-MM-DD)
+ end_date: End date (YYYY-MM-DD)
+
+ Returns:
+ Dict with 'data' (material summary) and 'total'.
+ """
+ if not equipment_names:
+ return {'error': '請選擇至少一台設備'}
+
+ validation_error = validate_date_range(start_date, end_date)
+ if validation_error:
+ return {'error': validation_error}
+
+ try:
+ equipment_filter = _build_in_filter(equipment_names, 'EQUIPMENTNAME')
+
+ sql = SQLLoader.load("query_tool/equipment_materials")
+ sql = sql.replace("{{ EQUIPMENT_FILTER }}", equipment_filter)
+
+ params = {'start_date': start_date, 'end_date': end_date}
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ logger.info(f"Equipment materials: {len(data)} records")
+
+ return {
+ 'data': data,
+ 'total': len(data),
+ 'date_range': {'start': start_date, 'end': end_date},
+ }
+
+ except Exception as exc:
+ logger.error(f"Equipment materials query failed: {exc}")
+ return {'error': f'查詢失敗: {str(exc)}'}
+
+
+def get_equipment_rejects(
+ equipment_names: List[str],
+ start_date: str,
+ end_date: str
+) -> Dict[str, Any]:
+ """Get reject statistics for equipment in a time period.
+
+ Note: LOTREJECTHISTORY only has EQUIPMENTNAME, not EQUIPMENTID.
+
+ Args:
+ equipment_names: List of equipment names
+ start_date: Start date (YYYY-MM-DD)
+ end_date: End date (YYYY-MM-DD)
+
+ Returns:
+ Dict with 'data' (reject summary) and 'total'.
+ """
+ if not equipment_names:
+ return {'error': '請選擇至少一台設備'}
+
+ validation_error = validate_date_range(start_date, end_date)
+ if validation_error:
+ return {'error': validation_error}
+
+ try:
+ equipment_filter = _build_in_filter(equipment_names, 'EQUIPMENTNAME')
+
+ sql = SQLLoader.load("query_tool/equipment_rejects")
+ sql = sql.replace("{{ EQUIPMENT_FILTER }}", equipment_filter)
+
+ params = {'start_date': start_date, 'end_date': end_date}
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ logger.info(f"Equipment rejects: {len(data)} records")
+
+ return {
+ 'data': data,
+ 'total': len(data),
+ 'date_range': {'start': start_date, 'end': end_date},
+ }
+
+ except Exception as exc:
+ logger.error(f"Equipment rejects query failed: {exc}")
+ return {'error': f'查詢失敗: {str(exc)}'}
+
+
+def get_equipment_jobs(
+ equipment_ids: List[str],
+ start_date: str,
+ end_date: str
+) -> Dict[str, Any]:
+ """Get JOB records for equipment in a time period.
+
+ Note: DW_MES_JOB uses RESOURCEID (= EQUIPMENTID).
+
+ Args:
+ equipment_ids: List of equipment IDs (RESOURCEID)
+ start_date: Start date (YYYY-MM-DD)
+ end_date: End date (YYYY-MM-DD)
+
+ Returns:
+ Dict with 'data' (job records) and 'total'.
+ """
+ # Validate inputs
+ validation_error = validate_equipment_input(equipment_ids)
+ if validation_error:
+ return {'error': validation_error}
+
+ validation_error = validate_date_range(start_date, end_date)
+ if validation_error:
+ return {'error': validation_error}
+
+ try:
+ equipment_filter = _build_in_filter(equipment_ids, 'RESOURCEID')
+
+ sql = SQLLoader.load("query_tool/equipment_jobs")
+ sql = sql.replace("{{ EQUIPMENT_FILTER }}", equipment_filter)
+
+ params = {'start_date': start_date, 'end_date': end_date}
+ df = read_sql_df(sql, params)
+ data = _df_to_records(df)
+
+ logger.info(f"Equipment jobs: {len(data)} records")
+
+ return {
+ 'data': data,
+ 'total': len(data),
+ 'date_range': {'start': start_date, 'end': end_date},
+ }
+
+ except Exception as exc:
+ logger.error(f"Equipment jobs query failed: {exc}")
+ return {'error': f'查詢失敗: {str(exc)}'}
+
+
+# ============================================================
+# Export Functions
+# ============================================================
+
+def export_to_csv(
+ data: List[Dict[str, Any]],
+ columns: Optional[List[str]] = None
+) -> str:
+ """Export data to CSV string.
+
+ Args:
+ data: List of records to export
+ columns: Optional column order. If None, uses keys from first record.
+
+ Returns:
+ CSV string with UTF-8 BOM for Excel compatibility.
+ """
+ if not data:
+ return ''
+
+ output = io.StringIO()
+ output.write('\ufeff') # UTF-8 BOM for Excel
+
+ # Determine columns
+ if columns is None:
+ columns = list(data[0].keys())
+
+ writer = csv.writer(output)
+ writer.writerow(columns)
+
+ for record in data:
+ row = []
+ for col in columns:
+ value = record.get(col)
+ if value is None:
+ row.append('')
+ else:
+ row.append(str(value))
+ writer.writerow(row)
+
+ return output.getvalue()
+
+
+def generate_csv_stream(
+ data: List[Dict[str, Any]],
+ columns: Optional[List[str]] = None
+) -> Generator[str, None, None]:
+ """Generate CSV content as a stream.
+
+ Args:
+ data: List of records to export
+ columns: Optional column order
+
+ Yields:
+ CSV rows as strings
+ """
+ if not data:
+ return
+
+ # Determine columns
+ if columns is None:
+ columns = list(data[0].keys())
+
+ output = io.StringIO()
+ writer = csv.writer(output)
+
+ # Write BOM and header
+ output.write('\ufeff')
+ writer.writerow(columns)
+ yield output.getvalue()
+ output.truncate(0)
+ output.seek(0)
+
+ # Write data rows
+ for record in data:
+ row = []
+ for col in columns:
+ value = record.get(col)
+ if value is None:
+ row.append('')
+ else:
+ row.append(str(value))
+ writer.writerow(row)
+ yield output.getvalue()
+ output.truncate(0)
+ output.seek(0)
diff --git a/src/mes_dashboard/services/tmtt_defect_service.py b/src/mes_dashboard/services/tmtt_defect_service.py
new file mode 100644
index 0000000..0506320
--- /dev/null
+++ b/src/mes_dashboard/services/tmtt_defect_service.py
@@ -0,0 +1,529 @@
+# -*- coding: utf-8 -*-
+"""TMTT Defect Analysis Service.
+
+Provides functions for analyzing printing (印字) and lead form (腳型) defects
+at TMTT stations, with MOLD equipment correlation and multi-dimension Pareto analysis.
+
+Defect rates are calculated separately by LOSSREASONNAME:
+- Print defect rate = 277_印字不良 / TMTT INPUT
+- Lead defect rate = 276_腳型不良 / TMTT INPUT
+"""
+
+import csv
+import io
+import logging
+from datetime import datetime, timedelta
+from typing import Optional, Dict, List, Any, Generator
+
+import math
+
+import pandas as pd
+
+from mes_dashboard.core.database import read_sql_df
+from mes_dashboard.core.cache import cache_get, cache_set, make_cache_key
+from mes_dashboard.sql import SQLLoader
+
+logger = logging.getLogger('mes_dashboard.tmtt_defect')
+
+# Constants
+MAX_QUERY_DAYS = 180
+CACHE_TTL = 300 # 5 minutes
+
+PRINT_DEFECT = '277_印字不良'
+LEAD_DEFECT = '276_腳型不良'
+
+# Dimension column mapping for chart aggregation
+DIMENSION_MAP = {
+ 'by_workflow': 'WORKFLOW',
+ 'by_package': 'PRODUCTLINENAME',
+ 'by_type': 'PJ_TYPE',
+ 'by_tmtt_machine': 'TMTT_EQUIPMENTNAME',
+ 'by_mold_machine': 'MOLD_EQUIPMENTNAME',
+}
+
+# CSV export column config
+CSV_COLUMNS = [
+ ('CONTAINERNAME', 'LOT ID'),
+ ('PJ_TYPE', 'TYPE'),
+ ('PRODUCTLINENAME', 'PACKAGE'),
+ ('WORKFLOW', 'WORKFLOW'),
+ ('FINISHEDRUNCARD', '完工流水碼'),
+ ('TMTT_EQUIPMENTNAME', 'TMTT設備'),
+ ('MOLD_EQUIPMENTNAME', 'MOLD設備'),
+ ('INPUT_QTY', '投入數'),
+ ('PRINT_DEFECT_QTY', '印字不良數'),
+ ('PRINT_DEFECT_RATE', '印字不良率(%)'),
+ ('LEAD_DEFECT_QTY', '腳型不良數'),
+ ('LEAD_DEFECT_RATE', '腳型不良率(%)'),
+]
+
+
+# ============================================================
+# Public API
+# ============================================================
+
+def query_tmtt_defect_analysis(
+ start_date: str,
+ end_date: str,
+) -> Optional[Dict[str, Any]]:
+ """Main entry point for TMTT defect analysis.
+
+ Args:
+ start_date: Start date (YYYY-MM-DD)
+ end_date: End date (YYYY-MM-DD)
+
+ Returns:
+ Dict with kpi, charts, detail sections, or dict with 'error' key.
+ """
+ # Validate dates
+ error = _validate_date_range(start_date, end_date)
+ if error:
+ return {'error': error}
+
+ # Check cache
+ cache_key = make_cache_key(
+ "tmtt_defect_analysis",
+ filters={'start_date': start_date, 'end_date': end_date},
+ )
+ cached = cache_get(cache_key)
+ if cached is not None:
+ return cached
+
+ # Fetch data
+ df = _fetch_base_data(start_date, end_date)
+ if df is None:
+ return None
+
+ # Build response
+ result = {
+ 'kpi': _build_kpi(df),
+ 'charts': _build_all_charts(df),
+ 'daily_trend': _build_daily_trend(df),
+ 'detail': _build_detail_table(df),
+ }
+
+ cache_set(cache_key, result, ttl=CACHE_TTL)
+ return result
+
+
+def export_csv(
+ start_date: str,
+ end_date: str,
+) -> Generator[str, None, None]:
+ """Stream CSV export of detail data.
+
+ Args:
+ start_date: Start date (YYYY-MM-DD)
+ end_date: End date (YYYY-MM-DD)
+
+ Yields:
+ CSV lines as strings.
+ """
+ df = _fetch_base_data(start_date, end_date)
+
+ # BOM for Excel UTF-8 compatibility
+ yield '\ufeff'
+
+ output = io.StringIO()
+ writer = csv.writer(output)
+
+ # Header row
+ writer.writerow([label for _, label in CSV_COLUMNS])
+ yield output.getvalue()
+ output.seek(0)
+ output.truncate(0)
+
+ if df is None or df.empty:
+ return
+
+ detail = _build_detail_table(df)
+ for row in detail:
+ writer.writerow([row.get(col, '') for col, _ in CSV_COLUMNS])
+ yield output.getvalue()
+ output.seek(0)
+ output.truncate(0)
+
+
+# ============================================================
+# Helpers
+# ============================================================
+
+def _safe_str(v, default=''):
+ """Return a JSON-safe string. Converts NaN/None to default."""
+ if v is None or (isinstance(v, float) and math.isnan(v)):
+ return default
+ try:
+ if pd.isna(v):
+ return default
+ except (TypeError, ValueError):
+ pass
+ return str(v)
+
+
+def _safe_float(v, default=0.0):
+ """Return a JSON-safe float. Converts NaN/None to default."""
+ if v is None:
+ return default
+ try:
+ f = float(v)
+ if math.isnan(f) or math.isinf(f):
+ return default
+ return f
+ except (TypeError, ValueError):
+ return default
+
+
+def _safe_int(v, default=0):
+ """Return a JSON-safe int. Converts NaN/None to default."""
+ return int(_safe_float(v, float(default)))
+
+
+# ============================================================
+# Internal Functions
+# ============================================================
+
+def _validate_date_range(start_date: str, end_date: str) -> Optional[str]:
+ """Validate date range parameters.
+
+ Returns:
+ Error message string, or None if valid.
+ """
+ try:
+ start = datetime.strptime(start_date, '%Y-%m-%d')
+ end = datetime.strptime(end_date, '%Y-%m-%d')
+ except (ValueError, TypeError):
+ return '日期格式無效，請使用 YYYY-MM-DD'
+
+ if start > end:
+ return '起始日期不能晚於結束日期'
+
+ if (end - start).days > MAX_QUERY_DAYS:
+ return f'查詢範圍不能超過 {MAX_QUERY_DAYS} 天'
+
+ return None
+
+
+def _fetch_base_data(start_date: str, end_date: str) -> Optional[pd.DataFrame]:
+ """Execute base_data.sql and return raw DataFrame.
+
+ Args:
+ start_date: Start date (YYYY-MM-DD)
+ end_date: End date (YYYY-MM-DD)
+
+ Returns:
+ DataFrame or None on error.
+ """
+ try:
+ sql = SQLLoader.load("tmtt_defect/base_data")
+ params = {
+ 'start_date': start_date,
+ 'end_date': end_date,
+ }
+ df = read_sql_df(sql, params)
+ if df is None:
+ logger.error("TMTT defect base query returned None")
+ return None
+ logger.info(
+ f"TMTT defect query: {len(df)} rows, "
+ f"{df['CONTAINERID'].nunique() if not df.empty else 0} unique lots"
+ )
+ return df
+ except Exception as exc:
+ logger.error(f"TMTT defect query failed: {exc}", exc_info=True)
+ return None
+
+
+def _build_kpi(df: pd.DataFrame) -> Dict[str, Any]:
+ """Build KPI summary from base data.
+
+ Defect rates are calculated separately by LOSSREASONNAME.
+ INPUT is deduplicated by CONTAINERID (a LOT may have multiple defect rows).
+
+ Args:
+ df: Base data DataFrame.
+
+ Returns:
+ KPI dict with total_input, lot_count, print/lead defect qty and rate.
+ """
+ if df.empty:
+ return {
+ 'total_input': 0,
+ 'lot_count': 0,
+ 'print_defect_qty': 0,
+ 'print_defect_rate': 0.0,
+ 'lead_defect_qty': 0,
+ 'lead_defect_rate': 0.0,
+ }
+
+ # Deduplicate for INPUT: one TRACKINQTY per unique CONTAINERID
+ unique_lots = df.drop_duplicates(subset=['CONTAINERID'])
+ total_input = int(unique_lots['TRACKINQTY'].sum())
+ lot_count = len(unique_lots)
+
+ # Defect totals by type
+ defect_rows = df[df['REJECTQTY'] > 0]
+ print_qty = int(
+ defect_rows.loc[
+ defect_rows['LOSSREASONNAME'] == PRINT_DEFECT, 'REJECTQTY'
+ ].sum()
+ )
+ lead_qty = int(
+ defect_rows.loc[
+ defect_rows['LOSSREASONNAME'] == LEAD_DEFECT, 'REJECTQTY'
+ ].sum()
+ )
+
+ return {
+ 'total_input': total_input,
+ 'lot_count': lot_count,
+ 'print_defect_qty': print_qty,
+ 'print_defect_rate': round(print_qty / total_input * 100, 4) if total_input else 0.0,
+ 'lead_defect_qty': lead_qty,
+ 'lead_defect_rate': round(lead_qty / total_input * 100, 4) if total_input else 0.0,
+ }
+
+
+def _build_chart_data(
+ df: pd.DataFrame,
+ dimension: str,
+) -> List[Dict[str, Any]]:
+ """Build Pareto chart data for a given dimension.
+
+ Each item includes separate print and lead defect quantities/rates.
+
+ Args:
+ df: Base data DataFrame.
+ dimension: Column name to group by.
+
+ Returns:
+ List of dicts sorted by total defect qty DESC, with cumulative_pct.
+ """
+ if df.empty:
+ return []
+
+ # Fill NaN dimension values
+ work_df = df.copy()
+ work_df[dimension] = work_df[dimension].fillna('(未知)')
+
+ # INPUT per dimension (deduplicated by CONTAINERID within each group)
+ input_by_dim = (
+ work_df.drop_duplicates(subset=['CONTAINERID', dimension])
+ .groupby(dimension)['TRACKINQTY']
+ .sum()
+ )
+
+ # Defect qty per dimension per type
+ defect_rows = work_df[work_df['REJECTQTY'] > 0]
+
+ print_by_dim = (
+ defect_rows[defect_rows['LOSSREASONNAME'] == PRINT_DEFECT]
+ .groupby(dimension)['REJECTQTY']
+ .sum()
+ )
+ lead_by_dim = (
+ defect_rows[defect_rows['LOSSREASONNAME'] == LEAD_DEFECT]
+ .groupby(dimension)['REJECTQTY']
+ .sum()
+ )
+
+ # Combine
+ combined = pd.DataFrame({
+ 'input_qty': input_by_dim,
+ 'print_defect_qty': print_by_dim,
+ 'lead_defect_qty': lead_by_dim,
+ }).fillna(0).astype({'print_defect_qty': int, 'lead_defect_qty': int, 'input_qty': int})
+
+ combined['total_defect_qty'] = combined['print_defect_qty'] + combined['lead_defect_qty']
+ combined = combined.sort_values('total_defect_qty', ascending=False)
+
+ # Cumulative percentage
+ total_defects = combined['total_defect_qty'].sum()
+ if total_defects > 0:
+ combined['cumulative_pct'] = (
+ combined['total_defect_qty'].cumsum() / total_defects * 100
+ ).round(2)
+ else:
+ combined['cumulative_pct'] = 0.0
+
+ # Defect rates
+ combined['print_defect_rate'] = (
+ combined['print_defect_qty'] / combined['input_qty'] * 100
+ ).round(4).where(combined['input_qty'] > 0, 0.0)
+ combined['lead_defect_rate'] = (
+ combined['lead_defect_qty'] / combined['input_qty'] * 100
+ ).round(4).where(combined['input_qty'] > 0, 0.0)
+
+ result = []
+ for name, row in combined.iterrows():
+ result.append({
+ 'name': _safe_str(name),
+ 'input_qty': _safe_int(row['input_qty']),
+ 'print_defect_qty': _safe_int(row['print_defect_qty']),
+ 'print_defect_rate': _safe_float(row['print_defect_rate']),
+ 'lead_defect_qty': _safe_int(row['lead_defect_qty']),
+ 'lead_defect_rate': _safe_float(row['lead_defect_rate']),
+ 'total_defect_qty': _safe_int(row['total_defect_qty']),
+ 'cumulative_pct': _safe_float(row['cumulative_pct']),
+ })
+
+ return result
+
+
+def _build_all_charts(df: pd.DataFrame) -> Dict[str, List[Dict]]:
+ """Build chart data for all 5 dimensions.
+
+ Args:
+ df: Base data DataFrame.
+
+ Returns:
+ Dict mapping chart key to Pareto data list.
+ """
+ return {
+ key: _build_chart_data(df, col)
+ for key, col in DIMENSION_MAP.items()
+ }
+
+
+def _build_daily_trend(df: pd.DataFrame) -> List[Dict[str, Any]]:
+ """Build daily defect rate trend data.
+
+ Groups by TRACKINTIMESTAMP date, calculates daily print/lead defect rates.
+
+ Args:
+ df: Base data DataFrame.
+
+ Returns:
+ List of dicts sorted by date ASC, each with date, input_qty,
+ print/lead defect qty and rate.
+ """
+ if df.empty:
+ return []
+
+ work_df = df.copy()
+ work_df['DATE'] = pd.to_datetime(work_df['TRACKINTIMESTAMP']).dt.strftime('%Y-%m-%d')
+
+ # Daily INPUT (deduplicated by CONTAINERID per date)
+ daily_input = (
+ work_df.drop_duplicates(subset=['CONTAINERID', 'DATE'])
+ .groupby('DATE')['TRACKINQTY']
+ .sum()
+ )
+
+ # Daily defects by type
+ defect_rows = work_df[work_df['REJECTQTY'] > 0]
+
+ daily_print = (
+ defect_rows[defect_rows['LOSSREASONNAME'] == PRINT_DEFECT]
+ .groupby('DATE')['REJECTQTY']
+ .sum()
+ )
+ daily_lead = (
+ defect_rows[defect_rows['LOSSREASONNAME'] == LEAD_DEFECT]
+ .groupby('DATE')['REJECTQTY']
+ .sum()
+ )
+
+ combined = pd.DataFrame({
+ 'input_qty': daily_input,
+ 'print_defect_qty': daily_print,
+ 'lead_defect_qty': daily_lead,
+ }).fillna(0).astype({'print_defect_qty': int, 'lead_defect_qty': int, 'input_qty': int})
+
+ combined['print_defect_rate'] = (
+ combined['print_defect_qty'] / combined['input_qty'] * 100
+ ).round(4).where(combined['input_qty'] > 0, 0.0)
+ combined['lead_defect_rate'] = (
+ combined['lead_defect_qty'] / combined['input_qty'] * 100
+ ).round(4).where(combined['input_qty'] > 0, 0.0)
+
+ combined = combined.sort_index()
+
+ result = []
+ for date, row in combined.iterrows():
+ result.append({
+ 'date': str(date),
+ 'input_qty': _safe_int(row['input_qty']),
+ 'print_defect_qty': _safe_int(row['print_defect_qty']),
+ 'print_defect_rate': _safe_float(row['print_defect_rate']),
+ 'lead_defect_qty': _safe_int(row['lead_defect_qty']),
+ 'lead_defect_rate': _safe_float(row['lead_defect_rate']),
+ })
+
+ return result
+
+
+def _build_detail_table(df: pd.DataFrame) -> List[Dict[str, Any]]:
+ """Build detail table rows, one per LOT.
+
+ Aggregates defect quantities per LOT across defect types.
+
+ Args:
+ df: Base data DataFrame.
+
+ Returns:
+ List of dicts, one per LOT.
+ """
+ if df.empty:
+ return []
+
+ # Pivot defects per LOT
+ lot_group_cols = [
+ 'CONTAINERID', 'CONTAINERNAME', 'PJ_TYPE', 'PRODUCTLINENAME',
+ 'WORKFLOW', 'FINISHEDRUNCARD', 'TMTT_EQUIPMENTNAME',
+ 'MOLD_EQUIPMENTNAME', 'TRACKINQTY',
+ ]
+
+ # Get unique LOT info (first occurrence)
+ lots = df.drop_duplicates(subset=['CONTAINERID'])[lot_group_cols].copy()
+
+ # Aggregate defects per LOT per type
+ defect_rows = df[df['REJECTQTY'] > 0]
+
+ print_defects = (
+ defect_rows[defect_rows['LOSSREASONNAME'] == PRINT_DEFECT]
+ .groupby('CONTAINERID')['REJECTQTY']
+ .sum()
+ .rename('PRINT_DEFECT_QTY')
+ )
+ lead_defects = (
+ defect_rows[defect_rows['LOSSREASONNAME'] == LEAD_DEFECT]
+ .groupby('CONTAINERID')['REJECTQTY']
+ .sum()
+ .rename('LEAD_DEFECT_QTY')
+ )
+
+ lots = lots.set_index('CONTAINERID')
+ lots = lots.join(print_defects, how='left')
+ lots = lots.join(lead_defects, how='left')
+ lots['PRINT_DEFECT_QTY'] = lots['PRINT_DEFECT_QTY'].fillna(0).astype(int)
+ lots['LEAD_DEFECT_QTY'] = lots['LEAD_DEFECT_QTY'].fillna(0).astype(int)
+
+ # Calculate rates
+ lots['INPUT_QTY'] = lots['TRACKINQTY'].astype(int)
+ lots['PRINT_DEFECT_RATE'] = (
+ lots['PRINT_DEFECT_QTY'] / lots['INPUT_QTY'] * 100
+ ).round(4).where(lots['INPUT_QTY'] > 0, 0.0)
+ lots['LEAD_DEFECT_RATE'] = (
+ lots['LEAD_DEFECT_QTY'] / lots['INPUT_QTY'] * 100
+ ).round(4).where(lots['INPUT_QTY'] > 0, 0.0)
+
+ # Convert to list of dicts
+ lots = lots.reset_index()
+ result = []
+ for _, row in lots.iterrows():
+ result.append({
+ 'CONTAINERNAME': _safe_str(row.get('CONTAINERNAME')),
+ 'PJ_TYPE': _safe_str(row.get('PJ_TYPE')),
+ 'PRODUCTLINENAME': _safe_str(row.get('PRODUCTLINENAME')),
+ 'WORKFLOW': _safe_str(row.get('WORKFLOW')),
+ 'FINISHEDRUNCARD': _safe_str(row.get('FINISHEDRUNCARD')),
+ 'TMTT_EQUIPMENTNAME': _safe_str(row.get('TMTT_EQUIPMENTNAME')),
+ 'MOLD_EQUIPMENTNAME': _safe_str(row.get('MOLD_EQUIPMENTNAME')),
+ 'INPUT_QTY': _safe_int(row.get('INPUT_QTY')),
+ 'PRINT_DEFECT_QTY': _safe_int(row.get('PRINT_DEFECT_QTY')),
+ 'PRINT_DEFECT_RATE': _safe_float(row.get('PRINT_DEFECT_RATE')),
+ 'LEAD_DEFECT_QTY': _safe_int(row.get('LEAD_DEFECT_QTY')),
+ 'LEAD_DEFECT_RATE': _safe_float(row.get('LEAD_DEFECT_RATE')),
+ })
+
+ return result
diff --git a/src/mes_dashboard/sql/query_tool/adjacent_lots.sql b/src/mes_dashboard/sql/query_tool/adjacent_lots.sql
new file mode 100644
index 0000000..7973a0c
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/adjacent_lots.sql
@@ -0,0 +1,130 @@
+-- Adjacent Lots Query (前後批查詢)
+-- Finds lots processed before and after a target lot on the same equipment
+-- Searches until finding a different PJ_TYPE, with minimum 3 lots in each direction
+--
+-- Parameters:
+-- :equipment_id - Target equipment ID
+-- :target_trackin_time - Target lot's TRACKINTIMESTAMP
+-- :time_window_hours - Time window in hours (default 24)
+--
+-- Output columns:
+-- PJ_TYPE - Product type (from DW_MES_CONTAINER)
+-- PJ_BOP - BOP code (from DW_MES_CONTAINER)
+-- WAFER_LOT_ID - Wafer lot ID, mapped from FIRSTNAME (from DW_MES_CONTAINER)
+--
+-- Logic:
+-- 1. Only filter by EQUIPMENTID (no SPECNAME restriction)
+-- 2. Search forward/backward until finding a different PJ_TYPE
+-- 3. Minimum 3 lots in each direction (even if different PJ_TYPE found earlier)
+-- 4. Stop at first different PJ_TYPE if found beyond 3 lots
+--
+-- Note: Deduplicates multiple track-out records for same track-in (takes latest track-out)
+
+WITH time_bounds AS (
+ SELECT
+ :target_trackin_time - INTERVAL '1' HOUR * :time_window_hours AS time_start,
+ :target_trackin_time + INTERVAL '1' HOUR * :time_window_hours AS time_end
+ FROM DUAL
+),
+-- Step 1: Get all records and deduplicate
+-- Multiple track-out records for same track-in -> take the latest track-out time
+raw_lots AS (
+ SELECT
+ h.CONTAINERID,
+ h.EQUIPMENTID,
+ h.EQUIPMENTNAME,
+ h.SPECNAME,
+ h.TRACKINTIMESTAMP,
+ h.TRACKOUTTIMESTAMP,
+ h.TRACKINQTY,
+ h.TRACKOUTQTY,
+ h.FINISHEDRUNCARD,
+ h.PJ_WORKORDER,
+ c.CONTAINERNAME,
+ c.PJ_TYPE,
+ c.PJ_BOP,
+ c.FIRSTNAME AS WAFER_LOT_ID,
+ ROW_NUMBER() OVER (
+ PARTITION BY h.CONTAINERID, h.EQUIPMENTID, h.TRACKINTIMESTAMP
+ ORDER BY h.TRACKOUTTIMESTAMP DESC NULLS LAST
+ ) AS dedup_rn
+ FROM DWH.DW_MES_LOTWIPHISTORY h
+ LEFT JOIN DWH.DW_MES_CONTAINER c ON h.CONTAINERID = c.CONTAINERID
+ CROSS JOIN time_bounds tb
+ WHERE h.EQUIPMENTID = :equipment_id
+ AND h.TRACKINTIMESTAMP BETWEEN tb.time_start AND tb.time_end
+),
+-- Step 2: Keep only deduplicated records
+deduped_lots AS (
+ SELECT *
+ FROM raw_lots
+ WHERE dedup_rn = 1
+),
+-- Step 3: Rank by track-in time (partitioned by EQUIPMENTID only)
+ranked_lots AS (
+ SELECT
+ d.*,
+ ROW_NUMBER() OVER (
+ PARTITION BY d.EQUIPMENTID
+ ORDER BY d.TRACKINTIMESTAMP
+ ) AS rn
+ FROM deduped_lots d
+),
+-- Step 4: Find target lot position and PJ_TYPE
+target_lot AS (
+ SELECT rn AS target_rn, PJ_TYPE AS target_pj_type
+ FROM ranked_lots
+ WHERE TRACKINTIMESTAMP = :target_trackin_time
+),
+-- Step 5: Find first lot BEFORE target with different PJ_TYPE
+-- (highest rn that is less than target_rn and has different PJ_TYPE)
+first_diff_before AS (
+ SELECT MAX(r.rn) AS rn
+ FROM ranked_lots r
+ CROSS JOIN target_lot t
+ WHERE r.rn < t.target_rn
+ AND (
+ (r.PJ_TYPE IS NULL AND t.target_pj_type IS NOT NULL)
+ OR (r.PJ_TYPE IS NOT NULL AND t.target_pj_type IS NULL)
+ OR (r.PJ_TYPE != t.target_pj_type)
+ )
+),
+-- Step 6: Find first lot AFTER target with different PJ_TYPE
+-- (lowest rn that is greater than target_rn and has different PJ_TYPE)
+first_diff_after AS (
+ SELECT MIN(r.rn) AS rn
+ FROM ranked_lots r
+ CROSS JOIN target_lot t
+ WHERE r.rn > t.target_rn
+ AND (
+ (r.PJ_TYPE IS NULL AND t.target_pj_type IS NOT NULL)
+ OR (r.PJ_TYPE IS NOT NULL AND t.target_pj_type IS NULL)
+ OR (r.PJ_TYPE != t.target_pj_type)
+ )
+)
+-- Step 7: Select lots within calculated range
+-- Before: MIN(first_diff_before, target - 3) to ensure minimum 3 and stop at different PJ_TYPE
+-- After: MAX(first_diff_after, target + 3) to ensure minimum 3 and stop at different PJ_TYPE
+SELECT
+ r.CONTAINERID,
+ r.EQUIPMENTID,
+ r.EQUIPMENTNAME,
+ r.SPECNAME,
+ r.TRACKINTIMESTAMP,
+ r.TRACKOUTTIMESTAMP,
+ r.TRACKINQTY,
+ r.TRACKOUTQTY,
+ r.FINISHEDRUNCARD,
+ r.PJ_WORKORDER,
+ r.CONTAINERNAME,
+ r.PJ_TYPE,
+ r.PJ_BOP,
+ r.WAFER_LOT_ID,
+ r.rn - t.target_rn AS RELATIVE_POSITION
+FROM ranked_lots r
+CROSS JOIN target_lot t
+CROSS JOIN first_diff_before b
+CROSS JOIN first_diff_after a
+WHERE r.rn >= LEAST(NVL(b.rn, t.target_rn - 3), t.target_rn - 3)
+ AND r.rn <= GREATEST(NVL(a.rn, t.target_rn + 3), t.target_rn + 3)
+ORDER BY r.rn
diff --git a/src/mes_dashboard/sql/query_tool/equipment_jobs.sql b/src/mes_dashboard/sql/query_tool/equipment_jobs.sql
new file mode 100644
index 0000000..8e26932
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/equipment_jobs.sql
@@ -0,0 +1,33 @@
+-- Equipment JOB Records Query
+-- Retrieves JOB records for equipment in a time period
+--
+-- Parameters:
+-- :start_date - Start date (YYYY-MM-DD)
+-- :end_date - End date (YYYY-MM-DD)
+--
+-- Dynamic placeholders:
+-- EQUIPMENT_FILTER - Equipment filter condition (on RESOURCEID)
+--
+-- Note: DW_MES_JOB uses RESOURCEID/RESOURCENAME
+-- EQUIPMENTID = RESOURCEID (same ID system)
+-- Uses CREATEDATE for date filtering
+
+SELECT
+ JOBID,
+ RESOURCEID,
+ RESOURCENAME,
+ JOBSTATUS,
+ JOBMODELNAME,
+ JOBORDERNAME,
+ CREATEDATE,
+ COMPLETEDATE,
+ CAUSECODENAME,
+ REPAIRCODENAME,
+ SYMPTOMCODENAME,
+ CONTAINERIDS,
+ CONTAINERNAMES
+FROM DWH.DW_MES_JOB
+WHERE CREATEDATE >= TO_DATE(:start_date, 'YYYY-MM-DD')
+ AND CREATEDATE < TO_DATE(:end_date, 'YYYY-MM-DD') + 1
+ AND {{ EQUIPMENT_FILTER }}
+ORDER BY RESOURCENAME, CREATEDATE DESC
diff --git a/src/mes_dashboard/sql/query_tool/equipment_lots.sql b/src/mes_dashboard/sql/query_tool/equipment_lots.sql
new file mode 100644
index 0000000..c5186c2
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/equipment_lots.sql
@@ -0,0 +1,64 @@
+-- Equipment Lots List Query
+-- Retrieves all lots processed by equipment in a time period
+--
+-- Parameters:
+-- :start_date - Start date (YYYY-MM-DD)
+-- :end_date - End date (YYYY-MM-DD)
+--
+-- Dynamic placeholders:
+-- EQUIPMENT_FILTER - Equipment filter condition (on EQUIPMENTID)
+--
+-- Note: Uses EQUIPMENTID/EQUIPMENTNAME (NOT RESOURCEID/RESOURCENAME)
+-- JOIN CONTAINER to get CONTAINERNAME, PJ_TYPE, PJ_BOP, WAFER_LOT_ID
+-- Partial track-out: Same LOT may have multiple records with same track-in
+-- but different track-out times. We take the latest track-out time.
+-- Only includes records with actual equipment (excludes checkpoint stations)
+
+WITH ranked_lots AS (
+ SELECT
+ h.CONTAINERID,
+ h.WORKCENTERNAME,
+ h.EQUIPMENTID,
+ h.EQUIPMENTNAME,
+ h.SPECNAME,
+ h.TRACKINTIMESTAMP,
+ h.TRACKOUTTIMESTAMP,
+ h.TRACKINQTY,
+ h.TRACKOUTQTY,
+ h.FINISHEDRUNCARD,
+ h.PJ_WORKORDER,
+ c.CONTAINERNAME,
+ c.PJ_TYPE,
+ c.PJ_BOP,
+ c.FIRSTNAME AS WAFER_LOT_ID,
+ ROW_NUMBER() OVER (
+ PARTITION BY h.CONTAINERID, h.EQUIPMENTID, h.SPECNAME, h.TRACKINTIMESTAMP
+ ORDER BY h.TRACKOUTTIMESTAMP DESC NULLS LAST
+ ) AS rn
+ FROM DWH.DW_MES_LOTWIPHISTORY h
+ LEFT JOIN DWH.DW_MES_CONTAINER c ON h.CONTAINERID = c.CONTAINERID
+ WHERE h.TRACKINTIMESTAMP >= TO_DATE(:start_date, 'YYYY-MM-DD')
+ AND h.TRACKINTIMESTAMP < TO_DATE(:end_date, 'YYYY-MM-DD') + 1
+ AND h.EQUIPMENTID IS NOT NULL
+ AND h.TRACKINTIMESTAMP IS NOT NULL
+ AND {{ EQUIPMENT_FILTER }}
+)
+SELECT
+ CONTAINERID,
+ WORKCENTERNAME,
+ EQUIPMENTID,
+ EQUIPMENTNAME,
+ SPECNAME,
+ TRACKINTIMESTAMP,
+ TRACKOUTTIMESTAMP,
+ TRACKINQTY,
+ TRACKOUTQTY,
+ FINISHEDRUNCARD,
+ PJ_WORKORDER,
+ CONTAINERNAME,
+ PJ_TYPE,
+ PJ_BOP,
+ WAFER_LOT_ID
+FROM ranked_lots
+WHERE rn = 1
+ORDER BY EQUIPMENTNAME, TRACKINTIMESTAMP
diff --git a/src/mes_dashboard/sql/query_tool/equipment_materials.sql b/src/mes_dashboard/sql/query_tool/equipment_materials.sql
new file mode 100644
index 0000000..2788693
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/equipment_materials.sql
@@ -0,0 +1,25 @@
+-- Equipment Materials Consumption Summary
+-- Aggregates material consumption by equipment for a time period
+--
+-- Parameters:
+-- :start_date - Start date (YYYY-MM-DD)
+-- :end_date - End date (YYYY-MM-DD)
+--
+-- Dynamic placeholders:
+-- EQUIPMENT_FILTER - Equipment filter condition (on EQUIPMENTNAME)
+--
+-- Note: Uses MATERIALPARTNAME (NOT MATERIALNAME)
+-- Uses QTYCONSUMED (NOT CONSUMEQTY)
+-- Uses TXNDATE (NOT TXNDATETIME)
+
+SELECT
+ EQUIPMENTNAME,
+ MATERIALPARTNAME,
+ SUM(QTYCONSUMED) AS TOTAL_CONSUMED,
+ COUNT(DISTINCT CONTAINERID) AS LOT_COUNT
+FROM DWH.DW_MES_LOTMATERIALSHISTORY
+WHERE TXNDATE >= TO_DATE(:start_date, 'YYYY-MM-DD')
+ AND TXNDATE < TO_DATE(:end_date, 'YYYY-MM-DD') + 1
+ AND {{ EQUIPMENT_FILTER }}
+GROUP BY EQUIPMENTNAME, MATERIALPARTNAME
+ORDER BY EQUIPMENTNAME, TOTAL_CONSUMED DESC
diff --git a/src/mes_dashboard/sql/query_tool/equipment_rejects.sql b/src/mes_dashboard/sql/query_tool/equipment_rejects.sql
new file mode 100644
index 0000000..b52d1d0
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/equipment_rejects.sql
@@ -0,0 +1,29 @@
+-- Equipment Reject Statistics
+-- Aggregates reject statistics by equipment for a time period
+--
+-- Parameters:
+-- :start_date - Start date (YYYY-MM-DD)
+-- :end_date - End date (YYYY-MM-DD)
+--
+-- Dynamic placeholders:
+-- EQUIPMENT_FILTER - Equipment filter condition (on EQUIPMENTNAME)
+--
+-- Note: LOTREJECTHISTORY only has EQUIPMENTNAME, NO EQUIPMENTID
+-- If need to filter by EQUIPMENTID, must JOIN LOTWIPHISTORY
+-- Uses LOSSREASONNAME (NOT REJECTREASONNAME)
+-- Uses TXNDATE (NOT TXNDATETIME)
+-- DEFECTQTY = SUM of REJECTQTY + STANDBYQTY + QTYTOPROCESS + INPROCESSQTY + PROCESSEDQTY
+
+SELECT
+ EQUIPMENTNAME,
+ LOSSREASONNAME,
+ SUM(REJECTQTY) AS TOTAL_REJECT_QTY,
+ SUM(NVL(REJECTQTY, 0) + NVL(STANDBYQTY, 0) + NVL(QTYTOPROCESS, 0)
+ + NVL(INPROCESSQTY, 0) + NVL(PROCESSEDQTY, 0)) AS TOTAL_DEFECT_QTY,
+ COUNT(DISTINCT CONTAINERID) AS AFFECTED_LOT_COUNT
+FROM DWH.DW_MES_LOTREJECTHISTORY
+WHERE TXNDATE >= TO_DATE(:start_date, 'YYYY-MM-DD')
+ AND TXNDATE < TO_DATE(:end_date, 'YYYY-MM-DD') + 1
+ AND {{ EQUIPMENT_FILTER }}
+GROUP BY EQUIPMENTNAME, LOSSREASONNAME
+ORDER BY EQUIPMENTNAME, TOTAL_DEFECT_QTY DESC
diff --git a/src/mes_dashboard/sql/query_tool/equipment_status_hours.sql b/src/mes_dashboard/sql/query_tool/equipment_status_hours.sql
new file mode 100644
index 0000000..2704879
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/equipment_status_hours.sql
@@ -0,0 +1,41 @@
+-- Equipment Status Hours Query
+-- Aggregates status hours by equipment for a time period
+--
+-- Parameters:
+-- :start_date - Start date (YYYY-MM-DD)
+-- :end_date - End date (YYYY-MM-DD)
+--
+-- Dynamic placeholders:
+-- EQUIPMENT_FILTER - Equipment filter condition
+--
+-- Note: RESOURCESTATUS_SHIFT requires JOIN with RESOURCE to get RESOURCENAME
+-- Uses HISTORYID = RESOURCEID relationship
+-- Uses OLDSTATUSNAME/NEWSTATUSNAME (NOT STATUSNAME)
+-- Uses TXNDATE (NOT SHIFTDATE)
+-- Hours field: HOURS
+
+SELECT
+ r.RESOURCEID,
+ r.RESOURCENAME,
+ SUM(CASE WHEN s.NEWSTATUSNAME = 'PRD' THEN s.HOURS ELSE 0 END) AS PRD_HOURS,
+ SUM(CASE WHEN s.NEWSTATUSNAME = 'SBY' THEN s.HOURS ELSE 0 END) AS SBY_HOURS,
+ SUM(CASE WHEN s.NEWSTATUSNAME = 'UDT' THEN s.HOURS ELSE 0 END) AS UDT_HOURS,
+ SUM(CASE WHEN s.NEWSTATUSNAME = 'SDT' THEN s.HOURS ELSE 0 END) AS SDT_HOURS,
+ SUM(CASE WHEN s.NEWSTATUSNAME = 'EGT' THEN s.HOURS ELSE 0 END) AS EGT_HOURS,
+ SUM(CASE WHEN s.NEWSTATUSNAME = 'NST' THEN s.HOURS ELSE 0 END) AS NST_HOURS,
+ SUM(s.HOURS) AS TOTAL_HOURS,
+ ROUND(
+ SUM(CASE WHEN s.NEWSTATUSNAME = 'PRD' THEN s.HOURS ELSE 0 END) * 100.0 /
+ NULLIF(
+ SUM(CASE WHEN s.NEWSTATUSNAME IN ('PRD', 'SBY', 'UDT') THEN s.HOURS ELSE 0 END),
+ 0
+ ),
+ 2
+ ) AS OU_PERCENT
+FROM DWH.DW_MES_RESOURCESTATUS_SHIFT s
+JOIN DWH.DW_MES_RESOURCE r ON s.HISTORYID = r.RESOURCEID
+WHERE s.TXNDATE >= TO_DATE(:start_date, 'YYYY-MM-DD')
+ AND s.TXNDATE < TO_DATE(:end_date, 'YYYY-MM-DD') + 1
+ AND {{ EQUIPMENT_FILTER }}
+GROUP BY r.RESOURCEID, r.RESOURCENAME
+ORDER BY r.RESOURCENAME
diff --git a/src/mes_dashboard/sql/query_tool/lot_history.sql b/src/mes_dashboard/sql/query_tool/lot_history.sql
new file mode 100644
index 0000000..9a2ec4f
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/lot_history.sql
@@ -0,0 +1,65 @@
+-- LOT Production History Query
+-- Retrieves complete production history for a LOT
+--
+-- Parameters:
+-- :container_id - CONTAINERID to query (16-char hex)
+-- {{ WORKCENTER_FILTER }} - Optional workcenter name filter (replaced by service)
+--
+-- Output columns:
+-- PJ_TYPE - Product type (from DW_MES_CONTAINER)
+-- PJ_BOP - BOP code (from DW_MES_CONTAINER)
+-- WAFER_LOT_ID - Wafer lot ID, mapped from FIRSTNAME (from DW_MES_CONTAINER)
+--
+-- Note: Uses EQUIPMENTID/EQUIPMENTNAME (NOT RESOURCEID/RESOURCENAME)
+-- Time fields: TRACKINTIMESTAMP/TRACKOUTTIMESTAMP (NOT TXNDATETIME)
+-- Partial track-out: Same LOT may have multiple records with same track-in
+-- but different track-out times. We take the latest track-out time.
+-- Only includes records with actual equipment (excludes checkpoint stations)
+
+WITH ranked_history AS (
+ SELECT
+ h.CONTAINERID,
+ h.WORKCENTERNAME,
+ h.EQUIPMENTID,
+ h.EQUIPMENTNAME,
+ h.SPECNAME,
+ h.TRACKINTIMESTAMP,
+ h.TRACKOUTTIMESTAMP,
+ h.TRACKINQTY,
+ h.TRACKOUTQTY,
+ h.FINISHEDRUNCARD,
+ h.PJ_WORKORDER,
+ c.CONTAINERNAME,
+ c.PJ_TYPE,
+ c.PJ_BOP,
+ c.FIRSTNAME AS WAFER_LOT_ID,
+ ROW_NUMBER() OVER (
+ PARTITION BY h.CONTAINERID, h.EQUIPMENTID, h.SPECNAME, h.TRACKINTIMESTAMP
+ ORDER BY h.TRACKOUTTIMESTAMP DESC NULLS LAST
+ ) AS rn
+ FROM DWH.DW_MES_LOTWIPHISTORY h
+ LEFT JOIN DWH.DW_MES_CONTAINER c ON h.CONTAINERID = c.CONTAINERID
+ WHERE h.CONTAINERID = :container_id
+ AND h.EQUIPMENTID IS NOT NULL
+ AND h.TRACKINTIMESTAMP IS NOT NULL
+ {{ WORKCENTER_FILTER }}
+)
+SELECT
+ CONTAINERID,
+ WORKCENTERNAME,
+ EQUIPMENTID,
+ EQUIPMENTNAME,
+ SPECNAME,
+ TRACKINTIMESTAMP,
+ TRACKOUTTIMESTAMP,
+ TRACKINQTY,
+ TRACKOUTQTY,
+ FINISHEDRUNCARD,
+ PJ_WORKORDER,
+ CONTAINERNAME,
+ PJ_TYPE,
+ PJ_BOP,
+ WAFER_LOT_ID
+FROM ranked_history
+WHERE rn = 1
+ORDER BY TRACKINTIMESTAMP
diff --git a/src/mes_dashboard/sql/query_tool/lot_holds.sql b/src/mes_dashboard/sql/query_tool/lot_holds.sql
new file mode 100644
index 0000000..b9c1b10
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/lot_holds.sql
@@ -0,0 +1,34 @@
+-- LOT HOLD Records Query
+-- Retrieves HOLD/RELEASE history for a LOT
+--
+-- Parameters:
+-- :container_id - CONTAINERID to query (16-char hex)
+--
+-- Note: Uses HOLDTXNDATE/RELEASETXNDATE (NOT TXNDATETIME)
+-- NULL RELEASETXNDATE means currently HOLD
+
+SELECT
+ CONTAINERID,
+ WORKCENTERNAME,
+ HOLDTXNDATE,
+ HOLDEMP,
+ HOLDEMPDEPTNAME,
+ HOLDREASONNAME,
+ HOLDCOMMENTS,
+ RELEASETXNDATE,
+ RELEASEEMP,
+ RELEASECOMMENTS,
+ NCRID,
+ CASE
+ WHEN RELEASETXNDATE IS NULL THEN 'HOLD'
+ ELSE 'RELEASED'
+ END AS HOLD_STATUS,
+ CASE
+ WHEN RELEASETXNDATE IS NULL THEN
+ ROUND((SYSDATE - HOLDTXNDATE) * 24, 2)
+ ELSE
+ ROUND((RELEASETXNDATE - HOLDTXNDATE) * 24, 2)
+ END AS HOLD_HOURS
+FROM DWH.DW_MES_HOLDRELEASEHISTORY
+WHERE CONTAINERID = :container_id
+ORDER BY HOLDTXNDATE DESC
diff --git a/src/mes_dashboard/sql/query_tool/lot_jobs.sql b/src/mes_dashboard/sql/query_tool/lot_jobs.sql
new file mode 100644
index 0000000..44f32e5
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/lot_jobs.sql
@@ -0,0 +1,35 @@
+-- LOT Related JOB Records Query
+-- Retrieves JOB records for equipment during LOT processing
+--
+-- Parameters:
+-- :equipment_id - Equipment ID (EQUIPMENTID = RESOURCEID in same ID system)
+-- :time_start - Start time of LOT processing
+-- :time_end - End time of LOT processing
+--
+-- Note: DW_MES_JOB uses RESOURCEID/RESOURCENAME
+-- LOTWIPHISTORY uses EQUIPMENTID/EQUIPMENTNAME
+-- EQUIPMENTID = RESOURCEID (same ID system, can JOIN directly)
+-- CONTAINERIDS/CONTAINERNAMES are comma-separated strings
+
+SELECT
+ j.JOBID,
+ j.RESOURCEID,
+ j.RESOURCENAME,
+ j.JOBSTATUS,
+ j.JOBMODELNAME,
+ j.JOBORDERNAME,
+ j.CREATEDATE,
+ j.COMPLETEDATE,
+ j.CAUSECODENAME,
+ j.REPAIRCODENAME,
+ j.SYMPTOMCODENAME,
+ j.CONTAINERIDS,
+ j.CONTAINERNAMES
+FROM DWH.DW_MES_JOB j
+WHERE j.RESOURCEID = :equipment_id
+ AND (
+ (j.CREATEDATE BETWEEN :time_start AND :time_end)
+ OR (j.COMPLETEDATE BETWEEN :time_start AND :time_end)
+ OR (j.CREATEDATE <= :time_start AND (j.COMPLETEDATE IS NULL OR j.COMPLETEDATE >= :time_end))
+ )
+ORDER BY j.CREATEDATE
diff --git a/src/mes_dashboard/sql/query_tool/lot_materials.sql b/src/mes_dashboard/sql/query_tool/lot_materials.sql
new file mode 100644
index 0000000..0a729e2
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/lot_materials.sql
@@ -0,0 +1,21 @@
+-- LOT Materials Consumption Query
+-- Retrieves material consumption records for a LOT
+--
+-- Parameters:
+-- :container_id - CONTAINERID to query (16-char hex)
+--
+-- Note: Uses MATERIALPARTNAME (NOT MATERIALNAME)
+-- Uses QTYCONSUMED (NOT CONSUMEQTY)
+-- Uses TXNDATE (NOT TXNDATETIME)
+
+SELECT
+ CONTAINERID,
+ MATERIALPARTNAME,
+ MATERIALLOTNAME,
+ QTYCONSUMED,
+ WORKCENTERNAME,
+ EQUIPMENTNAME,
+ TXNDATE
+FROM DWH.DW_MES_LOTMATERIALSHISTORY
+WHERE CONTAINERID = :container_id
+ORDER BY TXNDATE
diff --git a/src/mes_dashboard/sql/query_tool/lot_rejects.sql b/src/mes_dashboard/sql/query_tool/lot_rejects.sql
new file mode 100644
index 0000000..7b84473
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/lot_rejects.sql
@@ -0,0 +1,26 @@
+-- LOT Reject Records Query
+-- Retrieves reject (defect) records for a LOT
+--
+-- Parameters:
+-- :container_id - CONTAINERID to query (16-char hex)
+--
+-- Note: Uses LOSSREASONNAME (NOT REJECTREASONNAME)
+-- Uses TXNDATE (NOT TXNDATETIME)
+-- Only has EQUIPMENTNAME, NO EQUIPMENTID field
+-- DEFECTQTY = SUM of REJECTQTY + STANDBYQTY + QTYTOPROCESS + INPROCESSQTY + PROCESSEDQTY
+
+SELECT
+ CONTAINERID,
+ LOSSREASONNAME,
+ REJECTQTY,
+ NVL(REJECTQTY, 0) + NVL(STANDBYQTY, 0) + NVL(QTYTOPROCESS, 0)
+ + NVL(INPROCESSQTY, 0) + NVL(PROCESSEDQTY, 0) AS DEFECTQTY,
+ WORKCENTERNAME,
+ EQUIPMENTNAME,
+ TXNDATE,
+ COMMENTS,
+ REJECTCAUSE,
+ REJECTCOMMENT
+FROM DWH.DW_MES_LOTREJECTHISTORY
+WHERE CONTAINERID = :container_id
+ORDER BY TXNDATE
diff --git a/src/mes_dashboard/sql/query_tool/lot_resolve_id.sql b/src/mes_dashboard/sql/query_tool/lot_resolve_id.sql
new file mode 100644
index 0000000..8489320
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/lot_resolve_id.sql
@@ -0,0 +1,17 @@
+-- LOT ID to CONTAINERID Resolution
+-- Converts user-input LOT ID (CONTAINERNAME) to internal CONTAINERID
+--
+-- Parameters:
+-- :container_names - List of CONTAINERNAME values (bind variable list)
+--
+-- Note: CONTAINERID is 16-char hex (e.g., '48810380001cba48')
+-- CONTAINERNAME is user-visible LOT ID (e.g., 'GA23100020-A00-011')
+
+SELECT
+ CONTAINERID,
+ CONTAINERNAME,
+ MFGORDERNAME,
+ SPECNAME,
+ QTY
+FROM DWH.DW_MES_CONTAINER
+WHERE CONTAINERNAME IN ({{ CONTAINER_NAMES }})
diff --git a/src/mes_dashboard/sql/query_tool/lot_resolve_sn.sql b/src/mes_dashboard/sql/query_tool/lot_resolve_sn.sql
new file mode 100644
index 0000000..39b1f97
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/lot_resolve_sn.sql
@@ -0,0 +1,13 @@
+-- Serial Number (流水號) to CONTAINERID Resolution
+-- Converts finished product serial number to CONTAINERID list
+--
+-- Parameters:
+-- :finished_names - List of FINISHEDNAME values (bind variable list)
+--
+-- Note: One FINISHEDNAME may correspond to multiple CONTAINERIDs (2-5 typical)
+
+SELECT DISTINCT
+ CONTAINERID,
+ FINISHEDNAME
+FROM DWH.DW_MES_PJ_COMBINEDASSYLOTS
+WHERE FINISHEDNAME IN ({{ FINISHED_NAMES }})
diff --git a/src/mes_dashboard/sql/query_tool/lot_resolve_wo.sql b/src/mes_dashboard/sql/query_tool/lot_resolve_wo.sql
new file mode 100644
index 0000000..c051816
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/lot_resolve_wo.sql
@@ -0,0 +1,14 @@
+-- GA Work Order to CONTAINERID Resolution
+-- Expands work order to all associated CONTAINERIDs
+--
+-- Parameters:
+-- :work_orders - List of PJ_WORKORDER values (bind variable list)
+--
+-- Note: One work order may expand to many CONTAINERIDs (can be 100+)
+-- Using LOTWIPHISTORY because PJ_WORKORDER has 100% completeness there
+
+SELECT DISTINCT
+ CONTAINERID,
+ PJ_WORKORDER
+FROM DWH.DW_MES_LOTWIPHISTORY
+WHERE PJ_WORKORDER IN ({{ WORK_ORDERS }})
diff --git a/src/mes_dashboard/sql/query_tool/lot_split_merge_history.sql b/src/mes_dashboard/sql/query_tool/lot_split_merge_history.sql
new file mode 100644
index 0000000..a6bbdb9
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/lot_split_merge_history.sql
@@ -0,0 +1,26 @@
+-- LOT Split/Merge History Query (拆併批歷史紀錄)
+-- Query by CONTAINERID list from same work order
+-- Check both TARGET (CONTAINERID) and SOURCE (FROMCONTAINERID) to find all related records
+
+WITH work_order_lots AS (
+ SELECT CONTAINERID
+ FROM DWH.DW_MES_CONTAINER
+ WHERE MFGORDERNAME = :work_order
+)
+SELECT
+ h.HISTORYMAINLINEID,
+ h.CDONAME AS OPERATION_TYPE,
+ h.CONTAINERID AS TARGET_CONTAINERID,
+ h.CONTAINERNAME AS TARGET_LOT,
+ h.FROMCONTAINERID AS SOURCE_CONTAINERID,
+ h.FROMCONTAINERNAME AS SOURCE_LOT,
+ h.QTY AS TARGET_QTY,
+ h.TXNDATE
+FROM DWH.DW_MES_HM_LOTMOVEOUT h
+WHERE (
+ h.CONTAINERID IN (SELECT CONTAINERID FROM work_order_lots)
+ OR h.FROMCONTAINERID IN (SELECT CONTAINERID FROM work_order_lots)
+)
+ AND h.FROMCONTAINERID IS NOT NULL
+ORDER BY h.TXNDATE
+FETCH FIRST 100 ROWS ONLY
diff --git a/src/mes_dashboard/sql/query_tool/lot_splits.sql b/src/mes_dashboard/sql/query_tool/lot_splits.sql
new file mode 100644
index 0000000..e37eb97
--- /dev/null
+++ b/src/mes_dashboard/sql/query_tool/lot_splits.sql
@@ -0,0 +1,30 @@
+-- LOT Split/Merge Records (拆併批紀錄)
+-- Shows what serial numbers were produced from this LOT
+-- and what other LOTs were combined together
+--
+-- Parameters:
+-- :container_id - Target CONTAINERID (16-char hex)
+--
+-- Returns:
+-- - FINISHEDNAME: Serial number produced
+-- - Related LOTs that were combined to create each serial number
+-- - PJ_COMBINEDRATIO: Contribution ratio (1.0 = 100%)
+-- - PJ_GOODDIEQTY: Good die quantity contributed
+
+SELECT
+ p.FINISHEDNAME,
+ p.CONTAINERID,
+ p.CONTAINERNAME AS LOT_ID,
+ p.PJ_WORKORDER,
+ p.PJ_COMBINEDRATIO,
+ p.PJ_GOODDIEQTY,
+ p.PJ_ORIGINALGOODDIEQTY,
+ p.ORIGINALSTARTDATE
+FROM DWH.DW_MES_PJ_COMBINEDASSYLOTS p
+WHERE p.FINISHEDNAME IN (
+ -- Find all serial numbers that this LOT contributed to
+ SELECT DISTINCT FINISHEDNAME
+ FROM DWH.DW_MES_PJ_COMBINEDASSYLOTS
+ WHERE CONTAINERID = :container_id
+)
+ORDER BY p.FINISHEDNAME, p.ORIGINALSTARTDATE, p.CONTAINERNAME
diff --git a/src/mes_dashboard/sql/tmtt_defect/base_data.sql b/src/mes_dashboard/sql/tmtt_defect/base_data.sql
new file mode 100644
index 0000000..60c8485
--- /dev/null
+++ b/src/mes_dashboard/sql/tmtt_defect/base_data.sql
@@ -0,0 +1,116 @@
+-- TMTT Defect Analysis - Base Data Query
+-- Returns LOT-level data with TMTT input, defects (印字/腳型), and MOLD equipment
+--
+-- Parameters:
+-- :start_date - Start date (YYYY-MM-DD)
+-- :end_date - End date (YYYY-MM-DD)
+--
+-- Tables used:
+-- DWH.DW_MES_LOTWIPHISTORY (TMTT station records, MOLD station records)
+-- DWH.DW_MES_LOTREJECTHISTORY (defect records)
+-- DWH.DW_MES_CONTAINER (product info)
+-- DWH.DW_MES_WIP (WORKFLOWNAME, filtered by PRODUCTLINENAME <> '點測')
+--
+-- Notes:
+-- - LOSSREASONNAME: '276_腳型不良', '277_印字不良'
+-- - TMTT station: WORKCENTERNAME matching 'TMTT' or '測試'
+-- - MOLD station: WORKCENTERNAME matching '成型'
+-- - Multiple MOLD equipment per LOT: take earliest TRACKINTIMESTAMP
+-- - TMTT dedup: one row per CONTAINERID, take latest TRACKINTIMESTAMP
+-- - LOTREJECTHISTORY only has EQUIPMENTNAME (no EQUIPMENTID)
+-- - WORKFLOW: from DW_MES_WIP.WORKFLOWNAME (exclude PRODUCTLINENAME='點測')
+-- - Defect qty = SUM(REJECTQTY + STANDBYQTY + QTYTOPROCESS + INPROCESSQTY + PROCESSEDQTY)
+
+WITH tmtt_records AS (
+ SELECT /*+ MATERIALIZE */
+ h.CONTAINERID,
+ h.EQUIPMENTID AS TMTT_EQUIPMENTID,
+ h.EQUIPMENTNAME AS TMTT_EQUIPMENTNAME,
+ h.TRACKINQTY,
+ h.TRACKINTIMESTAMP,
+ h.TRACKOUTTIMESTAMP,
+ h.FINISHEDRUNCARD,
+ h.SPECNAME,
+ h.WORKCENTERNAME,
+ ROW_NUMBER() OVER (
+ PARTITION BY h.CONTAINERID
+ ORDER BY h.TRACKINTIMESTAMP DESC, h.TRACKOUTTIMESTAMP DESC NULLS LAST
+ ) AS rn
+ FROM DWH.DW_MES_LOTWIPHISTORY h
+ WHERE h.TRACKINTIMESTAMP >= TO_DATE(:start_date, 'YYYY-MM-DD')
+ AND h.TRACKINTIMESTAMP < TO_DATE(:end_date, 'YYYY-MM-DD') + 1
+ AND (UPPER(h.WORKCENTERNAME) LIKE '%TMTT%' OR h.WORKCENTERNAME LIKE '%測試%')
+ AND h.EQUIPMENTID IS NOT NULL
+ AND h.TRACKINTIMESTAMP IS NOT NULL
+),
+tmtt_deduped AS (
+ SELECT * FROM tmtt_records WHERE rn = 1
+),
+tmtt_rejects AS (
+ SELECT /*+ MATERIALIZE */
+ r.CONTAINERID,
+ r.LOSSREASONNAME,
+ SUM(NVL(r.REJECTQTY, 0) + NVL(r.STANDBYQTY, 0) + NVL(r.QTYTOPROCESS, 0)
+ + NVL(r.INPROCESSQTY, 0) + NVL(r.PROCESSEDQTY, 0)) AS REJECTQTY
+ FROM DWH.DW_MES_LOTREJECTHISTORY r
+ WHERE r.TXNDATE >= TO_DATE(:start_date, 'YYYY-MM-DD')
+ AND r.TXNDATE < TO_DATE(:end_date, 'YYYY-MM-DD') + 1
+ AND (UPPER(r.WORKCENTERNAME) LIKE '%TMTT%' OR r.WORKCENTERNAME LIKE '%測試%')
+ AND r.LOSSREASONNAME IN ('276_腳型不良', '277_印字不良')
+ GROUP BY r.CONTAINERID, r.LOSSREASONNAME
+),
+mold_records AS (
+ SELECT /*+ MATERIALIZE */
+ m.CONTAINERID,
+ m.EQUIPMENTID AS MOLD_EQUIPMENTID,
+ m.EQUIPMENTNAME AS MOLD_EQUIPMENTNAME,
+ ROW_NUMBER() OVER (
+ PARTITION BY m.CONTAINERID
+ ORDER BY m.TRACKINTIMESTAMP ASC
+ ) AS mold_rn
+ FROM DWH.DW_MES_LOTWIPHISTORY m
+ WHERE m.CONTAINERID IN (SELECT CONTAINERID FROM tmtt_deduped)
+ AND (m.WORKCENTERNAME LIKE '%成型%')
+ AND m.EQUIPMENTID IS NOT NULL
+),
+mold_deduped AS (
+ SELECT * FROM mold_records WHERE mold_rn = 1
+),
+product_info AS (
+ SELECT /*+ MATERIALIZE */
+ c.CONTAINERID,
+ c.CONTAINERNAME,
+ c.PJ_TYPE,
+ c.PRODUCTLINENAME
+ FROM DWH.DW_MES_CONTAINER c
+ WHERE c.CONTAINERID IN (SELECT CONTAINERID FROM tmtt_deduped)
+),
+workflow_info AS (
+ SELECT /*+ MATERIALIZE */
+ DISTINCT w.CONTAINERID,
+ w.WORKFLOWNAME
+ FROM DWH.DW_MES_WIP w
+ WHERE w.CONTAINERID IN (SELECT CONTAINERID FROM tmtt_deduped)
+ AND w.PRODUCTLINENAME <> '點測'
+)
+SELECT
+ t.CONTAINERID,
+ p.CONTAINERNAME,
+ p.PJ_TYPE,
+ p.PRODUCTLINENAME,
+ NVL(wf.WORKFLOWNAME, t.SPECNAME) AS WORKFLOW,
+ t.FINISHEDRUNCARD,
+ t.TMTT_EQUIPMENTID,
+ t.TMTT_EQUIPMENTNAME,
+ t.TRACKINQTY,
+ t.TRACKINTIMESTAMP,
+ m.MOLD_EQUIPMENTID,
+ m.MOLD_EQUIPMENTNAME,
+ r.LOSSREASONNAME,
+ NVL(r.REJECTQTY, 0) AS REJECTQTY
+FROM tmtt_deduped t
+LEFT JOIN product_info p ON t.CONTAINERID = p.CONTAINERID
+LEFT JOIN workflow_info wf ON t.CONTAINERID = wf.CONTAINERID
+LEFT JOIN mold_deduped m ON t.CONTAINERID = m.CONTAINERID
+LEFT JOIN tmtt_rejects r ON t.CONTAINERID = r.CONTAINERID
+ORDER BY t.TRACKINTIMESTAMP
diff --git a/src/mes_dashboard/static/favicon.svg b/src/mes_dashboard/static/favicon.svg
new file mode 100644
index 0000000..e61e0ab
--- /dev/null
+++ b/src/mes_dashboard/static/favicon.svg
@@ -0,0 +1,12 @@
+
+
+
+
+
+
diff --git a/src/mes_dashboard/static/js/chart.umd.min.js b/src/mes_dashboard/static/js/chart.umd.min.js
new file mode 100644
index 0000000..78c4e5d
--- /dev/null
+++ b/src/mes_dashboard/static/js/chart.umd.min.js
@@ -0,0 +1,20 @@
+/**
+ * Skipped minification because the original files appears to be already minified.
+ * Original file: /npm/chart.js@4.4.1/dist/chart.umd.js
+ *
+ * Do NOT use SRI with dynamically generated files! More information: https://www.jsdelivr.com/using-sri-with-dynamic-files
+ */
+/*!
+ * Chart.js v4.4.1
+ * https://www.chartjs.org
+ * (c) 2023 Chart.js Contributors
+ * Released under the MIT License
+ */
+!function(t,e){"object"==typeof exports&&"undefined"!=typeof module?module.exports=e():"function"==typeof define&&define.amd?define(e):(t="undefined"!=typeof globalThis?globalThis:t||self).Chart=e()}(this,(function(){"use strict";var t=Object.freeze({__proto__:null,get Colors(){return Go},get Decimation(){return Qo},get Filler(){return ma},get Legend(){return ya},get SubTitle(){return ka},get Title(){return Ma},get Tooltip(){return Ba}});function e(){}const i=(()=>{let t=0;return()=>t++})();function s(t){return null==t}function n(t){if(Array.isArray&&Array.isArray(t))return!0;const e=Object.prototype.toString.call(t);return"[object"===e.slice(0,7)&&"Array]"===e.slice(-6)}function o(t){return null!==t&&"[object Object]"===Object.prototype.toString.call(t)}function a(t){return("number"==typeof t||t instanceof Number)&&isFinite(+t)}function r(t,e){return a(t)?t:e}function l(t,e){return void 0===t?e:t}const h=(t,e)=>"string"==typeof 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+/*!
+ * @kurkle/color v0.3.2
+ * https://github.com/kurkle/color#readme
+ * (c) 2023 Jukka Kurkela
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void(t.options=e);i.$shared&&(t.options=i=Object.assign({},i,{$shared:!1,$animations:{}}));return i}(t,i);if(!s)return[];const n=this._createAnimations(s,i);return i.$shared&&function(t,e){const i=[],s=Object.keys(e);for(let e=0;e{t.options=i}),(()=>{})),n}_createAnimations(t,e){const i=this._properties,s=[],n=t.$animations||(t.$animations={}),o=Object.keys(e),a=Date.now();let r;for(r=o.length-1;r>=0;--r){const l=o[r];if("$"===l.charAt(0))continue;if("options"===l){s.push(...this._animateOptions(t,e));continue}const h=e[l];let c=n[l];const d=i.get(l);if(c){if(d&&c.active()){c.update(d,h,a);continue}c.cancel()}d&&d.duration?(n[l]=c=new Cs(d,t,l,h),s.push(c)):t[l]=h}return s}update(t,e){if(0===this._properties.size)return void Object.assign(t,e);const i=this._createAnimations(t,e);return i.length?(xt.add(this._chart,i),!0):void 0}}function As(t,e){const i=t&&t.options||{},s=i.reverse,n=void 0===i.min?e:0,o=void 0===i.max?e:0;return{start:s?o:n,end:s?n:o}}function Ts(t,e){const i=[],s=t._getSortedDatasetMetas(e);let n,o;for(n=0,o=s.length;n0||!i&&e<0)return n.index}return null}function zs(t,e){const{chart:i,_cachedMeta:s}=t,n=i._stacks||(i._stacks={}),{iScale:o,vScale:a,index:r}=s,l=o.axis,h=a.axis,c=function(t,e,i){return`${t.id}.${e.id}.${i.stack||i.type}`}(o,a,s),d=e.length;let u;for(let t=0;ti[t].axis===e)).shift()}function Vs(t,e){const i=t.controller.index,s=t.vScale&&t.vScale.axis;if(s){e=e||t._parsed;for(const t of e){const e=t._stacks;if(!e||void 0===e[s]||void 0===e[s][i])return;delete e[s][i],void 0!==e[s]._visualValues&&void 0!==e[s]._visualValues[i]&&delete e[s]._visualValues[i]}}}const Bs=t=>"reset"===t||"none"===t,Ws=(t,e)=>e?t:Object.assign({},t);class Ns{static defaults={};static datasetElementType=null;static dataElementType=null;constructor(t,e){this.chart=t,this._ctx=t.ctx,this.index=e,this._cachedDataOpts={},this._cachedMeta=this.getMeta(),this._type=this._cachedMeta.type,this.options=void 0,this._parsing=!1,this._data=void 0,this._objectData=void 0,this._sharedOptions=void 0,this._drawStart=void 0,this._drawCount=void 0,this.enableOptionSharing=!1,this.supportsDecimation=!1,this.$context=void 0,this._syncList=[],this.datasetElementType=new.target.datasetElementType,this.dataElementType=new.target.dataElementType,this.initialize()}initialize(){const t=this._cachedMeta;this.configure(),this.linkScales(),t._stacked=Es(t.vScale,t),this.addElements(),this.options.fill&&!this.chart.isPluginEnabled("filler")&&console.warn("Tried to use the 'fill' option without the 'Filler' plugin enabled. Please import and register the 'Filler' plugin and make sure it is not disabled in the options")}updateIndex(t){this.index!==t&&Vs(this._cachedMeta),this.index=t}linkScales(){const t=this.chart,e=this._cachedMeta,i=this.getDataset(),s=(t,e,i,s)=>"x"===t?e:"r"===t?s:i,n=e.xAxisID=l(i.xAxisID,Fs(t,"x")),o=e.yAxisID=l(i.yAxisID,Fs(t,"y")),a=e.rAxisID=l(i.rAxisID,Fs(t,"r")),r=e.indexAxis,h=e.iAxisID=s(r,n,o,a),c=e.vAxisID=s(r,o,n,a);e.xScale=this.getScaleForId(n),e.yScale=this.getScaleForId(o),e.rScale=this.getScaleForId(a),e.iScale=this.getScaleForId(h),e.vScale=this.getScaleForId(c)}getDataset(){return this.chart.data.datasets[this.index]}getMeta(){return this.chart.getDatasetMeta(this.index)}getScaleForId(t){return this.chart.scales[t]}_getOtherScale(t){const e=this._cachedMeta;return t===e.iScale?e.vScale:e.iScale}reset(){this._update("reset")}_destroy(){const t=this._cachedMeta;this._data&&rt(this._data,this),t._stacked&&Vs(t)}_dataCheck(){const t=this.getDataset(),e=t.data||(t.data=[]),i=this._data;if(o(e))this._data=function(t){const e=Object.keys(t),i=new Array(e.length);let s,n,o;for(s=0,n=e.length;s0&&i._parsed[t-1];if(!1===this._parsing)i._parsed=s,i._sorted=!0,d=s;else{d=n(s[t])?this.parseArrayData(i,s,t,e):o(s[t])?this.parseObjectData(i,s,t,e):this.parsePrimitiveData(i,s,t,e);const a=()=>null===c[l]||f&&c[l]t&&!e.hidden&&e._stacked&&{keys:Ts(i,!0),values:null})(e,i,this.chart),h={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY},{min:c,max:d}=function(t){const{min:e,max:i,minDefined:s,maxDefined:n}=t.getUserBounds();return{min:s?e:Number.NEGATIVE_INFINITY,max:n?i:Number.POSITIVE_INFINITY}}(r);let u,f;function g(){f=s[u];const e=f[r.axis];return!a(f[t.axis])||c>e||d=0;--u)if(!g()){this.updateRangeFromParsed(h,t,f,l);break}return h}getAllParsedValues(t){const e=this._cachedMeta._parsed,i=[];let s,n,o;for(s=0,n=e.length;s=0&&tthis.getContext(i,s,e)),c);return f.$shared&&(f.$shared=r,n[o]=Object.freeze(Ws(f,r))),f}_resolveAnimations(t,e,i){const s=this.chart,n=this._cachedDataOpts,o=`animation-${e}`,a=n[o];if(a)return a;let r;if(!1!==s.options.animation){const s=this.chart.config,n=s.datasetAnimationScopeKeys(this._type,e),o=s.getOptionScopes(this.getDataset(),n);r=s.createResolver(o,this.getContext(t,i,e))}const l=new Os(s,r&&r.animations);return r&&r._cacheable&&(n[o]=Object.freeze(l)),l}getSharedOptions(t){if(t.$shared)return this._sharedOptions||(this._sharedOptions=Object.assign({},t))}includeOptions(t,e){return!e||Bs(t)||this.chart._animationsDisabled}_getSharedOptions(t,e){const i=this.resolveDataElementOptions(t,e),s=this._sharedOptions,n=this.getSharedOptions(i),o=this.includeOptions(e,n)||n!==s;return this.updateSharedOptions(n,e,i),{sharedOptions:n,includeOptions:o}}updateElement(t,e,i,s){Bs(s)?Object.assign(t,i):this._resolveAnimations(e,s).update(t,i)}updateSharedOptions(t,e,i){t&&!Bs(e)&&this._resolveAnimations(void 0,e).update(t,i)}_setStyle(t,e,i,s){t.active=s;const n=this.getStyle(e,s);this._resolveAnimations(e,i,s).update(t,{options:!s&&this.getSharedOptions(n)||n})}removeHoverStyle(t,e,i){this._setStyle(t,i,"active",!1)}setHoverStyle(t,e,i){this._setStyle(t,i,"active",!0)}_removeDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!1)}_setDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!0)}_resyncElements(t){const e=this._data,i=this._cachedMeta.data;for(const[t,e,i]of this._syncList)this[t](e,i);this._syncList=[];const s=i.length,n=e.length,o=Math.min(n,s);o&&this.parse(0,o),n>s?this._insertElements(s,n-s,t):n{for(t.length+=e,a=t.length-1;a>=o;a--)t[a]=t[a-e]};for(r(n),a=t;a{s[t]=i[t]&&i[t].active()?i[t]._to:this[t]})),s}}function js(t,e){const i=t.options.ticks,n=function(t){const e=t.options.offset,i=t._tickSize(),s=t._length/i+(e?0:1),n=t._maxLength/i;return Math.floor(Math.min(s,n))}(t),o=Math.min(i.maxTicksLimit||n,n),a=i.major.enabled?function(t){const e=[];let i,s;for(i=0,s=t.length;io)return function(t,e,i,s){let n,o=0,a=i[0];for(s=Math.ceil(s),n=0;nn)return e}return Math.max(n,1)}(a,e,o);if(r>0){let t,i;const n=r>1?Math.round((h-l)/(r-1)):null;for($s(e,c,d,s(n)?0:l-n,l),t=0,i=r-1;t"top"===e||"left"===e?t[e]+i:t[e]-i,Us=(t,e)=>Math.min(e||t,t);function Xs(t,e){const i=[],s=t.length/e,n=t.length;let o=0;for(;oa+r)))return h}function Ks(t){return t.drawTicks?t.tickLength:0}function Gs(t,e){if(!t.display)return 0;const i=Si(t.font,e),s=ki(t.padding);return(n(t.text)?t.text.length:1)*i.lineHeight+s.height}function Zs(t,e,i){let s=ut(t);return(i&&"right"!==e||!i&&"right"===e)&&(s=(t=>"left"===t?"right":"right"===t?"left":t)(s)),s}class Js extends Hs{constructor(t){super(),this.id=t.id,this.type=t.type,this.options=void 0,this.ctx=t.ctx,this.chart=t.chart,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this._margins={left:0,right:0,top:0,bottom:0},this.maxWidth=void 0,this.maxHeight=void 0,this.paddingTop=void 0,this.paddingBottom=void 0,this.paddingLeft=void 0,this.paddingRight=void 0,this.axis=void 0,this.labelRotation=void 0,this.min=void 0,this.max=void 0,this._range=void 0,this.ticks=[],this._gridLineItems=null,this._labelItems=null,this._labelSizes=null,this._length=0,this._maxLength=0,this._longestTextCache={},this._startPixel=void 0,this._endPixel=void 0,this._reversePixels=!1,this._userMax=void 0,this._userMin=void 0,this._suggestedMax=void 0,this._suggestedMin=void 0,this._ticksLength=0,this._borderValue=0,this._cache={},this._dataLimitsCached=!1,this.$context=void 0}init(t){this.options=t.setContext(this.getContext()),this.axis=t.axis,this._userMin=this.parse(t.min),this._userMax=this.parse(t.max),this._suggestedMin=this.parse(t.suggestedMin),this._suggestedMax=this.parse(t.suggestedMax)}parse(t,e){return t}getUserBounds(){let{_userMin:t,_userMax:e,_suggestedMin:i,_suggestedMax:s}=this;return t=r(t,Number.POSITIVE_INFINITY),e=r(e,Number.NEGATIVE_INFINITY),i=r(i,Number.POSITIVE_INFINITY),s=r(s,Number.NEGATIVE_INFINITY),{min:r(t,i),max:r(e,s),minDefined:a(t),maxDefined:a(e)}}getMinMax(t){let e,{min:i,max:s,minDefined:n,maxDefined:o}=this.getUserBounds();if(n&&o)return{min:i,max:s};const a=this.getMatchingVisibleMetas();for(let r=0,l=a.length;rs?s:i,s=n&&i>s?i:s,{min:r(i,r(s,i)),max:r(s,r(i,s))}}getPadding(){return{left:this.paddingLeft||0,top:this.paddingTop||0,right:this.paddingRight||0,bottom:this.paddingBottom||0}}getTicks(){return this.ticks}getLabels(){const t=this.chart.data;return this.options.labels||(this.isHorizontal()?t.xLabels:t.yLabels)||t.labels||[]}getLabelItems(t=this.chart.chartArea){return this._labelItems||(this._labelItems=this._computeLabelItems(t))}beforeLayout(){this._cache={},this._dataLimitsCached=!1}beforeUpdate(){d(this.options.beforeUpdate,[this])}update(t,e,i){const{beginAtZero:s,grace:n,ticks:o}=this.options,a=o.sampleSize;this.beforeUpdate(),this.maxWidth=t,this.maxHeight=e,this._margins=i=Object.assign({left:0,right:0,top:0,bottom:0},i),this.ticks=null,this._labelSizes=null,this._gridLineItems=null,this._labelItems=null,this.beforeSetDimensions(),this.setDimensions(),this.afterSetDimensions(),this._maxLength=this.isHorizontal()?this.width+i.left+i.right:this.height+i.top+i.bottom,this._dataLimitsCached||(this.beforeDataLimits(),this.determineDataLimits(),this.afterDataLimits(),this._range=Di(this,n,s),this._dataLimitsCached=!0),this.beforeBuildTicks(),this.ticks=this.buildTicks()||[],this.afterBuildTicks();const r=a=n||i<=1||!this.isHorizontal())return void(this.labelRotation=s);const h=this._getLabelSizes(),c=h.widest.width,d=h.highest.height,u=J(this.chart.width-c,0,this.maxWidth);o=t.offset?this.maxWidth/i:u/(i-1),c+6>o&&(o=u/(i-(t.offset?.5:1)),a=this.maxHeight-Ks(t.grid)-e.padding-Gs(t.title,this.chart.options.font),r=Math.sqrt(c*c+d*d),l=Y(Math.min(Math.asin(J((h.highest.height+6)/o,-1,1)),Math.asin(J(a/r,-1,1))-Math.asin(J(d/r,-1,1)))),l=Math.max(s,Math.min(n,l))),this.labelRotation=l}afterCalculateLabelRotation(){d(this.options.afterCalculateLabelRotation,[this])}afterAutoSkip(){}beforeFit(){d(this.options.beforeFit,[this])}fit(){const t={width:0,height:0},{chart:e,options:{ticks:i,title:s,grid:n}}=this,o=this._isVisible(),a=this.isHorizontal();if(o){const o=Gs(s,e.options.font);if(a?(t.width=this.maxWidth,t.height=Ks(n)+o):(t.height=this.maxHeight,t.width=Ks(n)+o),i.display&&this.ticks.length){const{first:e,last:s,widest:n,highest:o}=this._getLabelSizes(),r=2*i.padding,l=$(this.labelRotation),h=Math.cos(l),c=Math.sin(l);if(a){const e=i.mirror?0:c*n.width+h*o.height;t.height=Math.min(this.maxHeight,t.height+e+r)}else{const e=i.mirror?0:h*n.width+c*o.height;t.width=Math.min(this.maxWidth,t.width+e+r)}this._calculatePadding(e,s,c,h)}}this._handleMargins(),a?(this.width=this._length=e.width-this._margins.left-this._margins.right,this.height=t.height):(this.width=t.width,this.height=this._length=e.height-this._margins.top-this._margins.bottom)}_calculatePadding(t,e,i,s){const{ticks:{align:n,padding:o},position:a}=this.options,r=0!==this.labelRotation,l="top"!==a&&"x"===this.axis;if(this.isHorizontal()){const a=this.getPixelForTick(0)-this.left,h=this.right-this.getPixelForTick(this.ticks.length-1);let c=0,d=0;r?l?(c=s*t.width,d=i*e.height):(c=i*t.height,d=s*e.width):"start"===n?d=e.width:"end"===n?c=t.width:"inner"!==n&&(c=t.width/2,d=e.width/2),this.paddingLeft=Math.max((c-a+o)*this.width/(this.width-a),0),this.paddingRight=Math.max((d-h+o)*this.width/(this.width-h),0)}else{let i=e.height/2,s=t.height/2;"start"===n?(i=0,s=t.height):"end"===n&&(i=e.height,s=0),this.paddingTop=i+o,this.paddingBottom=s+o}}_handleMargins(){this._margins&&(this._margins.left=Math.max(this.paddingLeft,this._margins.left),this._margins.top=Math.max(this.paddingTop,this._margins.top),this._margins.right=Math.max(this.paddingRight,this._margins.right),this._margins.bottom=Math.max(this.paddingBottom,this._margins.bottom))}afterFit(){d(this.options.afterFit,[this])}isHorizontal(){const{axis:t,position:e}=this.options;return"top"===e||"bottom"===e||"x"===t}isFullSize(){return this.options.fullSize}_convertTicksToLabels(t){let e,i;for(this.beforeTickToLabelConversion(),this.generateTickLabels(t),e=0,i=t.length;e{const i=t.gc,s=i.length/2;let n;if(s>e){for(n=0;n({width:r[t]||0,height:l[t]||0});return{first:P(0),last:P(e-1),widest:P(k),highest:P(S),widths:r,heights:l}}getLabelForValue(t){return t}getPixelForValue(t,e){return NaN}getValueForPixel(t){}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getPixelForDecimal(t){this._reversePixels&&(t=1-t);const e=this._startPixel+t*this._length;return Q(this._alignToPixels?Ae(this.chart,e,0):e)}getDecimalForPixel(t){const e=(t-this._startPixel)/this._length;return this._reversePixels?1-e:e}getBasePixel(){return this.getPixelForValue(this.getBaseValue())}getBaseValue(){const{min:t,max:e}=this;return t<0&&e<0?e:t>0&&e>0?t:0}getContext(t){const e=this.ticks||[];if(t>=0&&ta*s?a/i:r/s:r*s0}_computeGridLineItems(t){const e=this.axis,i=this.chart,s=this.options,{grid:n,position:a,border:r}=s,h=n.offset,c=this.isHorizontal(),d=this.ticks.length+(h?1:0),u=Ks(n),f=[],g=r.setContext(this.getContext()),p=g.display?g.width:0,m=p/2,b=function(t){return Ae(i,t,p)};let x,_,y,v,M,w,k,S,P,D,C,O;if("top"===a)x=b(this.bottom),w=this.bottom-u,S=x-m,D=b(t.top)+m,O=t.bottom;else if("bottom"===a)x=b(this.top),D=t.top,O=b(t.bottom)-m,w=x+m,S=this.top+u;else if("left"===a)x=b(this.right),M=this.right-u,k=x-m,P=b(t.left)+m,C=t.right;else if("right"===a)x=b(this.left),P=t.left,C=b(t.right)-m,M=x+m,k=this.left+u;else if("x"===e){if("center"===a)x=b((t.top+t.bottom)/2+.5);else if(o(a)){const t=Object.keys(a)[0],e=a[t];x=b(this.chart.scales[t].getPixelForValue(e))}D=t.top,O=t.bottom,w=x+m,S=w+u}else if("y"===e){if("center"===a)x=b((t.left+t.right)/2);else if(o(a)){const t=Object.keys(a)[0],e=a[t];x=b(this.chart.scales[t].getPixelForValue(e))}M=x-m,k=M-u,P=t.left,C=t.right}const A=l(s.ticks.maxTicksLimit,d),T=Math.max(1,Math.ceil(d/A));for(_=0;_0&&(o-=s/2)}d={left:o,top:n,width:s+e.width,height:i+e.height,color:t.backdropColor}}b.push({label:v,font:P,textOffset:O,options:{rotation:m,color:i,strokeColor:o,strokeWidth:h,textAlign:f,textBaseline:A,translation:[M,w],backdrop:d}})}return b}_getXAxisLabelAlignment(){const{position:t,ticks:e}=this.options;if(-$(this.labelRotation))return"top"===t?"left":"right";let i="center";return"start"===e.align?i="left":"end"===e.align?i="right":"inner"===e.align&&(i="inner"),i}_getYAxisLabelAlignment(t){const{position:e,ticks:{crossAlign:i,mirror:s,padding:n}}=this.options,o=t+n,a=this._getLabelSizes().widest.width;let r,l;return"left"===e?s?(l=this.right+n,"near"===i?r="left":"center"===i?(r="center",l+=a/2):(r="right",l+=a)):(l=this.right-o,"near"===i?r="right":"center"===i?(r="center",l-=a/2):(r="left",l=this.left)):"right"===e?s?(l=this.left+n,"near"===i?r="right":"center"===i?(r="center",l-=a/2):(r="left",l-=a)):(l=this.left+o,"near"===i?r="left":"center"===i?(r="center",l+=a/2):(r="right",l=this.right)):r="right",{textAlign:r,x:l}}_computeLabelArea(){if(this.options.ticks.mirror)return;const t=this.chart,e=this.options.position;return"left"===e||"right"===e?{top:0,left:this.left,bottom:t.height,right:this.right}:"top"===e||"bottom"===e?{top:this.top,left:0,bottom:this.bottom,right:t.width}:void 0}drawBackground(){const{ctx:t,options:{backgroundColor:e},left:i,top:s,width:n,height:o}=this;e&&(t.save(),t.fillStyle=e,t.fillRect(i,s,n,o),t.restore())}getLineWidthForValue(t){const e=this.options.grid;if(!this._isVisible()||!e.display)return 0;const i=this.ticks.findIndex((e=>e.value===t));if(i>=0){return e.setContext(this.getContext(i)).lineWidth}return 0}drawGrid(t){const e=this.options.grid,i=this.ctx,s=this._gridLineItems||(this._gridLineItems=this._computeGridLineItems(t));let n,o;const a=(t,e,s)=>{s.width&&s.color&&(i.save(),i.lineWidth=s.width,i.strokeStyle=s.color,i.setLineDash(s.borderDash||[]),i.lineDashOffset=s.borderDashOffset,i.beginPath(),i.moveTo(t.x,t.y),i.lineTo(e.x,e.y),i.stroke(),i.restore())};if(e.display)for(n=0,o=s.length;n{this.drawBackground(),this.drawGrid(t),this.drawTitle()}},{z:s,draw:()=>{this.drawBorder()}},{z:e,draw:t=>{this.drawLabels(t)}}]:[{z:e,draw:t=>{this.draw(t)}}]}getMatchingVisibleMetas(t){const e=this.chart.getSortedVisibleDatasetMetas(),i=this.axis+"AxisID",s=[];let n,o;for(n=0,o=e.length;n{const s=i.split("."),n=s.pop(),o=[t].concat(s).join("."),a=e[i].split("."),r=a.pop(),l=a.join(".");ue.route(o,n,l,r)}))}(e,t.defaultRoutes);t.descriptors&&ue.describe(e,t.descriptors)}(t,o,i),this.override&&ue.override(t.id,t.overrides)),o}get(t){return this.items[t]}unregister(t){const e=this.items,i=t.id,s=this.scope;i in e&&delete e[i],s&&i in ue[s]&&(delete ue[s][i],this.override&&delete re[i])}}class tn{constructor(){this.controllers=new Qs(Ns,"datasets",!0),this.elements=new Qs(Hs,"elements"),this.plugins=new Qs(Object,"plugins"),this.scales=new Qs(Js,"scales"),this._typedRegistries=[this.controllers,this.scales,this.elements]}add(...t){this._each("register",t)}remove(...t){this._each("unregister",t)}addControllers(...t){this._each("register",t,this.controllers)}addElements(...t){this._each("register",t,this.elements)}addPlugins(...t){this._each("register",t,this.plugins)}addScales(...t){this._each("register",t,this.scales)}getController(t){return this._get(t,this.controllers,"controller")}getElement(t){return this._get(t,this.elements,"element")}getPlugin(t){return this._get(t,this.plugins,"plugin")}getScale(t){return this._get(t,this.scales,"scale")}removeControllers(...t){this._each("unregister",t,this.controllers)}removeElements(...t){this._each("unregister",t,this.elements)}removePlugins(...t){this._each("unregister",t,this.plugins)}removeScales(...t){this._each("unregister",t,this.scales)}_each(t,e,i){[...e].forEach((e=>{const s=i||this._getRegistryForType(e);i||s.isForType(e)||s===this.plugins&&e.id?this._exec(t,s,e):u(e,(e=>{const s=i||this._getRegistryForType(e);this._exec(t,s,e)}))}))}_exec(t,e,i){const s=w(t);d(i["before"+s],[],i),e[t](i),d(i["after"+s],[],i)}_getRegistryForType(t){for(let e=0;et.filter((t=>!e.some((e=>t.plugin.id===e.plugin.id))));this._notify(s(e,i),t,"stop"),this._notify(s(i,e),t,"start")}}function nn(t,e){return e||!1!==t?!0===t?{}:t:null}function on(t,{plugin:e,local:i},s,n){const o=t.pluginScopeKeys(e),a=t.getOptionScopes(s,o);return i&&e.defaults&&a.push(e.defaults),t.createResolver(a,n,[""],{scriptable:!1,indexable:!1,allKeys:!0})}function an(t,e){const i=ue.datasets[t]||{};return((e.datasets||{})[t]||{}).indexAxis||e.indexAxis||i.indexAxis||"x"}function rn(t){if("x"===t||"y"===t||"r"===t)return t}function ln(t,...e){if(rn(t))return t;for(const s of e){const e=s.axis||("top"===(i=s.position)||"bottom"===i?"x":"left"===i||"right"===i?"y":void 0)||t.length>1&&rn(t[0].toLowerCase());if(e)return e}var i;throw new Error(`Cannot determine type of '${t}' axis. Please provide 'axis' or 'position' option.`)}function hn(t,e,i){if(i[e+"AxisID"]===t)return{axis:e}}function cn(t,e){const i=re[t.type]||{scales:{}},s=e.scales||{},n=an(t.type,e),a=Object.create(null);return Object.keys(s).forEach((e=>{const r=s[e];if(!o(r))return console.error(`Invalid scale configuration for scale: ${e}`);if(r._proxy)return console.warn(`Ignoring resolver passed as options for scale: ${e}`);const l=ln(e,r,function(t,e){if(e.data&&e.data.datasets){const i=e.data.datasets.filter((e=>e.xAxisID===t||e.yAxisID===t));if(i.length)return hn(t,"x",i[0])||hn(t,"y",i[0])}return{}}(e,t),ue.scales[r.type]),h=function(t,e){return t===e?"_index_":"_value_"}(l,n),c=i.scales||{};a[e]=x(Object.create(null),[{axis:l},r,c[l],c[h]])})),t.data.datasets.forEach((i=>{const n=i.type||t.type,o=i.indexAxis||an(n,e),r=(re[n]||{}).scales||{};Object.keys(r).forEach((t=>{const e=function(t,e){let i=t;return"_index_"===t?i=e:"_value_"===t&&(i="x"===e?"y":"x"),i}(t,o),n=i[e+"AxisID"]||e;a[n]=a[n]||Object.create(null),x(a[n],[{axis:e},s[n],r[t]])}))})),Object.keys(a).forEach((t=>{const e=a[t];x(e,[ue.scales[e.type],ue.scale])})),a}function dn(t){const e=t.options||(t.options={});e.plugins=l(e.plugins,{}),e.scales=cn(t,e)}function un(t){return(t=t||{}).datasets=t.datasets||[],t.labels=t.labels||[],t}const fn=new Map,gn=new Set;function pn(t,e){let i=fn.get(t);return i||(i=e(),fn.set(t,i),gn.add(i)),i}const mn=(t,e,i)=>{const s=M(e,i);void 0!==s&&t.add(s)};class bn{constructor(t){this._config=function(t){return(t=t||{}).data=un(t.data),dn(t),t}(t),this._scopeCache=new Map,this._resolverCache=new Map}get platform(){return this._config.platform}get type(){return this._config.type}set type(t){this._config.type=t}get data(){return this._config.data}set data(t){this._config.data=un(t)}get options(){return this._config.options}set options(t){this._config.options=t}get plugins(){return this._config.plugins}update(){const t=this._config;this.clearCache(),dn(t)}clearCache(){this._scopeCache.clear(),this._resolverCache.clear()}datasetScopeKeys(t){return pn(t,(()=>[[`datasets.${t}`,""]]))}datasetAnimationScopeKeys(t,e){return pn(`${t}.transition.${e}`,(()=>[[`datasets.${t}.transitions.${e}`,`transitions.${e}`],[`datasets.${t}`,""]]))}datasetElementScopeKeys(t,e){return pn(`${t}-${e}`,(()=>[[`datasets.${t}.elements.${e}`,`datasets.${t}`,`elements.${e}`,""]]))}pluginScopeKeys(t){const e=t.id;return pn(`${this.type}-plugin-${e}`,(()=>[[`plugins.${e}`,...t.additionalOptionScopes||[]]]))}_cachedScopes(t,e){const i=this._scopeCache;let s=i.get(t);return s&&!e||(s=new Map,i.set(t,s)),s}getOptionScopes(t,e,i){const{options:s,type:n}=this,o=this._cachedScopes(t,i),a=o.get(e);if(a)return a;const r=new Set;e.forEach((e=>{t&&(r.add(t),e.forEach((e=>mn(r,t,e)))),e.forEach((t=>mn(r,s,t))),e.forEach((t=>mn(r,re[n]||{},t))),e.forEach((t=>mn(r,ue,t))),e.forEach((t=>mn(r,le,t)))}));const l=Array.from(r);return 0===l.length&&l.push(Object.create(null)),gn.has(e)&&o.set(e,l),l}chartOptionScopes(){const{options:t,type:e}=this;return[t,re[e]||{},ue.datasets[e]||{},{type:e},ue,le]}resolveNamedOptions(t,e,i,s=[""]){const o={$shared:!0},{resolver:a,subPrefixes:r}=xn(this._resolverCache,t,s);let l=a;if(function(t,e){const{isScriptable:i,isIndexable:s}=Ye(t);for(const o of e){const e=i(o),a=s(o),r=(a||e)&&t[o];if(e&&(S(r)||_n(r))||a&&n(r))return!0}return!1}(a,e)){o.$shared=!1;l=$e(a,i=S(i)?i():i,this.createResolver(t,i,r))}for(const t of e)o[t]=l[t];return o}createResolver(t,e,i=[""],s){const{resolver:n}=xn(this._resolverCache,t,i);return o(e)?$e(n,e,void 0,s):n}}function xn(t,e,i){let s=t.get(e);s||(s=new Map,t.set(e,s));const n=i.join();let o=s.get(n);if(!o){o={resolver:je(e,i),subPrefixes:i.filter((t=>!t.toLowerCase().includes("hover")))},s.set(n,o)}return o}const _n=t=>o(t)&&Object.getOwnPropertyNames(t).some((e=>S(t[e])));const yn=["top","bottom","left","right","chartArea"];function vn(t,e){return"top"===t||"bottom"===t||-1===yn.indexOf(t)&&"x"===e}function Mn(t,e){return function(i,s){return i[t]===s[t]?i[e]-s[e]:i[t]-s[t]}}function wn(t){const e=t.chart,i=e.options.animation;e.notifyPlugins("afterRender"),d(i&&i.onComplete,[t],e)}function kn(t){const e=t.chart,i=e.options.animation;d(i&&i.onProgress,[t],e)}function Sn(t){return fe()&&"string"==typeof t?t=document.getElementById(t):t&&t.length&&(t=t[0]),t&&t.canvas&&(t=t.canvas),t}const Pn={},Dn=t=>{const e=Sn(t);return Object.values(Pn).filter((t=>t.canvas===e)).pop()};function Cn(t,e,i){const s=Object.keys(t);for(const n of s){const s=+n;if(s>=e){const o=t[n];delete t[n],(i>0||s>e)&&(t[s+i]=o)}}}function On(t,e,i){return t.options.clip?t[i]:e[i]}class An{static defaults=ue;static instances=Pn;static overrides=re;static registry=en;static version="4.4.1";static getChart=Dn;static register(...t){en.add(...t),Tn()}static unregister(...t){en.remove(...t),Tn()}constructor(t,e){const s=this.config=new bn(e),n=Sn(t),o=Dn(n);if(o)throw new Error("Canvas is already in use. Chart with ID '"+o.id+"' must be destroyed before the canvas with ID '"+o.canvas.id+"' can be reused.");const a=s.createResolver(s.chartOptionScopes(),this.getContext());this.platform=new(s.platform||ks(n)),this.platform.updateConfig(s);const r=this.platform.acquireContext(n,a.aspectRatio),l=r&&r.canvas,h=l&&l.height,c=l&&l.width;this.id=i(),this.ctx=r,this.canvas=l,this.width=c,this.height=h,this._options=a,this._aspectRatio=this.aspectRatio,this._layers=[],this._metasets=[],this._stacks=void 0,this.boxes=[],this.currentDevicePixelRatio=void 0,this.chartArea=void 0,this._active=[],this._lastEvent=void 0,this._listeners={},this._responsiveListeners=void 0,this._sortedMetasets=[],this.scales={},this._plugins=new sn,this.$proxies={},this._hiddenIndices={},this.attached=!1,this._animationsDisabled=void 0,this.$context=void 0,this._doResize=dt((t=>this.update(t)),a.resizeDelay||0),this._dataChanges=[],Pn[this.id]=this,r&&l?(xt.listen(this,"complete",wn),xt.listen(this,"progress",kn),this._initialize(),this.attached&&this.update()):console.error("Failed to create chart: can't acquire context from the given item")}get aspectRatio(){const{options:{aspectRatio:t,maintainAspectRatio:e},width:i,height:n,_aspectRatio:o}=this;return s(t)?e&&o?o:n?i/n:null:t}get data(){return this.config.data}set data(t){this.config.data=t}get options(){return this._options}set options(t){this.config.options=t}get registry(){return en}_initialize(){return this.notifyPlugins("beforeInit"),this.options.responsive?this.resize():ke(this,this.options.devicePixelRatio),this.bindEvents(),this.notifyPlugins("afterInit"),this}clear(){return Te(this.canvas,this.ctx),this}stop(){return xt.stop(this),this}resize(t,e){xt.running(this)?this._resizeBeforeDraw={width:t,height:e}:this._resize(t,e)}_resize(t,e){const i=this.options,s=this.canvas,n=i.maintainAspectRatio&&this.aspectRatio,o=this.platform.getMaximumSize(s,t,e,n),a=i.devicePixelRatio||this.platform.getDevicePixelRatio(),r=this.width?"resize":"attach";this.width=o.width,this.height=o.height,this._aspectRatio=this.aspectRatio,ke(this,a,!0)&&(this.notifyPlugins("resize",{size:o}),d(i.onResize,[this,o],this),this.attached&&this._doResize(r)&&this.render())}ensureScalesHaveIDs(){u(this.options.scales||{},((t,e)=>{t.id=e}))}buildOrUpdateScales(){const t=this.options,e=t.scales,i=this.scales,s=Object.keys(i).reduce(((t,e)=>(t[e]=!1,t)),{});let n=[];e&&(n=n.concat(Object.keys(e).map((t=>{const i=e[t],s=ln(t,i),n="r"===s,o="x"===s;return{options:i,dposition:n?"chartArea":o?"bottom":"left",dtype:n?"radialLinear":o?"category":"linear"}})))),u(n,(e=>{const n=e.options,o=n.id,a=ln(o,n),r=l(n.type,e.dtype);void 0!==n.position&&vn(n.position,a)===vn(e.dposition)||(n.position=e.dposition),s[o]=!0;let h=null;if(o in i&&i[o].type===r)h=i[o];else{h=new(en.getScale(r))({id:o,type:r,ctx:this.ctx,chart:this}),i[h.id]=h}h.init(n,t)})),u(s,((t,e)=>{t||delete i[e]})),u(i,(t=>{as.configure(this,t,t.options),as.addBox(this,t)}))}_updateMetasets(){const t=this._metasets,e=this.data.datasets.length,i=t.length;if(t.sort(((t,e)=>t.index-e.index)),i>e){for(let t=e;te.length&&delete this._stacks,t.forEach(((t,i)=>{0===e.filter((e=>e===t._dataset)).length&&this._destroyDatasetMeta(i)}))}buildOrUpdateControllers(){const t=[],e=this.data.datasets;let i,s;for(this._removeUnreferencedMetasets(),i=0,s=e.length;i{this.getDatasetMeta(e).controller.reset()}),this)}reset(){this._resetElements(),this.notifyPlugins("reset")}update(t){const e=this.config;e.update();const i=this._options=e.createResolver(e.chartOptionScopes(),this.getContext()),s=this._animationsDisabled=!i.animation;if(this._updateScales(),this._checkEventBindings(),this._updateHiddenIndices(),this._plugins.invalidate(),!1===this.notifyPlugins("beforeUpdate",{mode:t,cancelable:!0}))return;const n=this.buildOrUpdateControllers();this.notifyPlugins("beforeElementsUpdate");let o=0;for(let t=0,e=this.data.datasets.length;t{t.reset()})),this._updateDatasets(t),this.notifyPlugins("afterUpdate",{mode:t}),this._layers.sort(Mn("z","_idx"));const{_active:a,_lastEvent:r}=this;r?this._eventHandler(r,!0):a.length&&this._updateHoverStyles(a,a,!0),this.render()}_updateScales(){u(this.scales,(t=>{as.removeBox(this,t)})),this.ensureScalesHaveIDs(),this.buildOrUpdateScales()}_checkEventBindings(){const t=this.options,e=new Set(Object.keys(this._listeners)),i=new Set(t.events);P(e,i)&&!!this._responsiveListeners===t.responsive||(this.unbindEvents(),this.bindEvents())}_updateHiddenIndices(){const{_hiddenIndices:t}=this,e=this._getUniformDataChanges()||[];for(const{method:i,start:s,count:n}of e){Cn(t,s,"_removeElements"===i?-n:n)}}_getUniformDataChanges(){const t=this._dataChanges;if(!t||!t.length)return;this._dataChanges=[];const e=this.data.datasets.length,i=e=>new Set(t.filter((t=>t[0]===e)).map(((t,e)=>e+","+t.splice(1).join(",")))),s=i(0);for(let t=1;tt.split(","))).map((t=>({method:t[1],start:+t[2],count:+t[3]})))}_updateLayout(t){if(!1===this.notifyPlugins("beforeLayout",{cancelable:!0}))return;as.update(this,this.width,this.height,t);const e=this.chartArea,i=e.width<=0||e.height<=0;this._layers=[],u(this.boxes,(t=>{i&&"chartArea"===t.position||(t.configure&&t.configure(),this._layers.push(...t._layers()))}),this),this._layers.forEach(((t,e)=>{t._idx=e})),this.notifyPlugins("afterLayout")}_updateDatasets(t){if(!1!==this.notifyPlugins("beforeDatasetsUpdate",{mode:t,cancelable:!0})){for(let t=0,e=this.data.datasets.length;t=0;--e)this._drawDataset(t[e]);this.notifyPlugins("afterDatasetsDraw")}_drawDataset(t){const e=this.ctx,i=t._clip,s=!i.disabled,n=function(t,e){const{xScale:i,yScale:s}=t;return i&&s?{left:On(i,e,"left"),right:On(i,e,"right"),top:On(s,e,"top"),bottom:On(s,e,"bottom")}:e}(t,this.chartArea),o={meta:t,index:t.index,cancelable:!0};!1!==this.notifyPlugins("beforeDatasetDraw",o)&&(s&&Ie(e,{left:!1===i.left?0:n.left-i.left,right:!1===i.right?this.width:n.right+i.right,top:!1===i.top?0:n.top-i.top,bottom:!1===i.bottom?this.height:n.bottom+i.bottom}),t.controller.draw(),s&&ze(e),o.cancelable=!1,this.notifyPlugins("afterDatasetDraw",o))}isPointInArea(t){return Re(t,this.chartArea,this._minPadding)}getElementsAtEventForMode(t,e,i,s){const n=Xi.modes[e];return"function"==typeof n?n(this,t,i,s):[]}getDatasetMeta(t){const e=this.data.datasets[t],i=this._metasets;let s=i.filter((t=>t&&t._dataset===e)).pop();return s||(s={type:null,data:[],dataset:null,controller:null,hidden:null,xAxisID:null,yAxisID:null,order:e&&e.order||0,index:t,_dataset:e,_parsed:[],_sorted:!1},i.push(s)),s}getContext(){return this.$context||(this.$context=Ci(null,{chart:this,type:"chart"}))}getVisibleDatasetCount(){return this.getSortedVisibleDatasetMetas().length}isDatasetVisible(t){const e=this.data.datasets[t];if(!e)return!1;const i=this.getDatasetMeta(t);return"boolean"==typeof i.hidden?!i.hidden:!e.hidden}setDatasetVisibility(t,e){this.getDatasetMeta(t).hidden=!e}toggleDataVisibility(t){this._hiddenIndices[t]=!this._hiddenIndices[t]}getDataVisibility(t){return!this._hiddenIndices[t]}_updateVisibility(t,e,i){const s=i?"show":"hide",n=this.getDatasetMeta(t),o=n.controller._resolveAnimations(void 0,s);k(e)?(n.data[e].hidden=!i,this.update()):(this.setDatasetVisibility(t,i),o.update(n,{visible:i}),this.update((e=>e.datasetIndex===t?s:void 0)))}hide(t,e){this._updateVisibility(t,e,!1)}show(t,e){this._updateVisibility(t,e,!0)}_destroyDatasetMeta(t){const e=this._metasets[t];e&&e.controller&&e.controller._destroy(),delete this._metasets[t]}_stop(){let t,e;for(this.stop(),xt.remove(this),t=0,e=this.data.datasets.length;t{e.addEventListener(this,i,s),t[i]=s},s=(t,e,i)=>{t.offsetX=e,t.offsetY=i,this._eventHandler(t)};u(this.options.events,(t=>i(t,s)))}bindResponsiveEvents(){this._responsiveListeners||(this._responsiveListeners={});const t=this._responsiveListeners,e=this.platform,i=(i,s)=>{e.addEventListener(this,i,s),t[i]=s},s=(i,s)=>{t[i]&&(e.removeEventListener(this,i,s),delete t[i])},n=(t,e)=>{this.canvas&&this.resize(t,e)};let o;const a=()=>{s("attach",a),this.attached=!0,this.resize(),i("resize",n),i("detach",o)};o=()=>{this.attached=!1,s("resize",n),this._stop(),this._resize(0,0),i("attach",a)},e.isAttached(this.canvas)?a():o()}unbindEvents(){u(this._listeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._listeners={},u(this._responsiveListeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._responsiveListeners=void 0}updateHoverStyle(t,e,i){const s=i?"set":"remove";let n,o,a,r;for("dataset"===e&&(n=this.getDatasetMeta(t[0].datasetIndex),n.controller["_"+s+"DatasetHoverStyle"]()),a=0,r=t.length;a{const i=this.getDatasetMeta(t);if(!i)throw new Error("No dataset found at index "+t);return{datasetIndex:t,element:i.data[e],index:e}}));!f(i,e)&&(this._active=i,this._lastEvent=null,this._updateHoverStyles(i,e))}notifyPlugins(t,e,i){return this._plugins.notify(this,t,e,i)}isPluginEnabled(t){return 1===this._plugins._cache.filter((e=>e.plugin.id===t)).length}_updateHoverStyles(t,e,i){const s=this.options.hover,n=(t,e)=>t.filter((t=>!e.some((e=>t.datasetIndex===e.datasetIndex&&t.index===e.index)))),o=n(e,t),a=i?t:n(t,e);o.length&&this.updateHoverStyle(o,s.mode,!1),a.length&&s.mode&&this.updateHoverStyle(a,s.mode,!0)}_eventHandler(t,e){const i={event:t,replay:e,cancelable:!0,inChartArea:this.isPointInArea(t)},s=e=>(e.options.events||this.options.events).includes(t.native.type);if(!1===this.notifyPlugins("beforeEvent",i,s))return;const n=this._handleEvent(t,e,i.inChartArea);return i.cancelable=!1,this.notifyPlugins("afterEvent",i,s),(n||i.changed)&&this.render(),this}_handleEvent(t,e,i){const{_active:s=[],options:n}=this,o=e,a=this._getActiveElements(t,s,i,o),r=D(t),l=function(t,e,i,s){return i&&"mouseout"!==t.type?s?e:t:null}(t,this._lastEvent,i,r);i&&(this._lastEvent=null,d(n.onHover,[t,a,this],this),r&&d(n.onClick,[t,a,this],this));const h=!f(a,s);return(h||e)&&(this._active=a,this._updateHoverStyles(a,s,e)),this._lastEvent=l,h}_getActiveElements(t,e,i,s){if("mouseout"===t.type)return[];if(!i)return e;const n=this.options.hover;return this.getElementsAtEventForMode(t,n.mode,n,s)}}function Tn(){return u(An.instances,(t=>t._plugins.invalidate()))}function Ln(){throw new Error("This method is not implemented: Check that a complete date adapter is provided.")}class En{static override(t){Object.assign(En.prototype,t)}options;constructor(t){this.options=t||{}}init(){}formats(){return Ln()}parse(){return Ln()}format(){return Ln()}add(){return Ln()}diff(){return Ln()}startOf(){return Ln()}endOf(){return Ln()}}var Rn={_date:En};function In(t){const e=t.iScale,i=function(t,e){if(!t._cache.$bar){const i=t.getMatchingVisibleMetas(e);let s=[];for(let e=0,n=i.length;et-e)))}return t._cache.$bar}(e,t.type);let s,n,o,a,r=e._length;const l=()=>{32767!==o&&-32768!==o&&(k(a)&&(r=Math.min(r,Math.abs(o-a)||r)),a=o)};for(s=0,n=i.length;sMath.abs(r)&&(l=r,h=a),e[i.axis]=h,e._custom={barStart:l,barEnd:h,start:n,end:o,min:a,max:r}}(t,e,i,s):e[i.axis]=i.parse(t,s),e}function Fn(t,e,i,s){const n=t.iScale,o=t.vScale,a=n.getLabels(),r=n===o,l=[];let h,c,d,u;for(h=i,c=i+s;ht.x,i="left",s="right"):(e=t.base"spacing"!==t,_indexable:t=>"spacing"!==t&&!t.startsWith("borderDash")&&!t.startsWith("hoverBorderDash")};static overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(t){const e=t.data;if(e.labels.length&&e.datasets.length){const{labels:{pointStyle:i,color:s}}=t.legend.options;return e.labels.map(((e,n)=>{const o=t.getDatasetMeta(0).controller.getStyle(n);return{text:e,fillStyle:o.backgroundColor,strokeStyle:o.borderColor,fontColor:s,lineWidth:o.borderWidth,pointStyle:i,hidden:!t.getDataVisibility(n),index:n}}))}return[]}},onClick(t,e,i){i.chart.toggleDataVisibility(e.index),i.chart.update()}}}};constructor(t,e){super(t,e),this.enableOptionSharing=!0,this.innerRadius=void 0,this.outerRadius=void 0,this.offsetX=void 0,this.offsetY=void 0}linkScales(){}parse(t,e){const i=this.getDataset().data,s=this._cachedMeta;if(!1===this._parsing)s._parsed=i;else{let n,a,r=t=>+i[t];if(o(i[t])){const{key:t="value"}=this._parsing;r=e=>+M(i[e],t)}for(n=t,a=t+e;nZ(t,r,l,!0)?1:Math.max(e,e*i,s,s*i),g=(t,e,s)=>Z(t,r,l,!0)?-1:Math.min(e,e*i,s,s*i),p=f(0,h,d),m=f(E,c,u),b=g(C,h,d),x=g(C+E,c,u);s=(p-b)/2,n=(m-x)/2,o=-(p+b)/2,a=-(m+x)/2}return{ratioX:s,ratioY:n,offsetX:o,offsetY:a}}(u,d,r),b=(i.width-o)/f,x=(i.height-o)/g,_=Math.max(Math.min(b,x)/2,0),y=c(this.options.radius,_),v=(y-Math.max(y*r,0))/this._getVisibleDatasetWeightTotal();this.offsetX=p*y,this.offsetY=m*y,s.total=this.calculateTotal(),this.outerRadius=y-v*this._getRingWeightOffset(this.index),this.innerRadius=Math.max(this.outerRadius-v*l,0),this.updateElements(n,0,n.length,t)}_circumference(t,e){const i=this.options,s=this._cachedMeta,n=this._getCircumference();return e&&i.animation.animateRotate||!this.chart.getDataVisibility(t)||null===s._parsed[t]||s.data[t].hidden?0:this.calculateCircumference(s._parsed[t]*n/O)}updateElements(t,e,i,s){const n="reset"===s,o=this.chart,a=o.chartArea,r=o.options.animation,l=(a.left+a.right)/2,h=(a.top+a.bottom)/2,c=n&&r.animateScale,d=c?0:this.innerRadius,u=c?0:this.outerRadius,{sharedOptions:f,includeOptions:g}=this._getSharedOptions(e,s);let p,m=this._getRotation();for(p=0;p0&&!isNaN(t)?O*(Math.abs(t)/e):0}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart,s=i.data.labels||[],n=ne(e._parsed[t],i.options.locale);return{label:s[t]||"",value:n}}getMaxBorderWidth(t){let e=0;const i=this.chart;let s,n,o,a,r;if(!t)for(s=0,n=i.data.datasets.length;s{const o=t.getDatasetMeta(0).controller.getStyle(n);return{text:e,fillStyle:o.backgroundColor,strokeStyle:o.borderColor,fontColor:s,lineWidth:o.borderWidth,pointStyle:i,hidden:!t.getDataVisibility(n),index:n}}))}return[]}},onClick(t,e,i){i.chart.toggleDataVisibility(e.index),i.chart.update()}}},scales:{r:{type:"radialLinear",angleLines:{display:!1},beginAtZero:!0,grid:{circular:!0},pointLabels:{display:!1},startAngle:0}}};constructor(t,e){super(t,e),this.innerRadius=void 0,this.outerRadius=void 0}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart,s=i.data.labels||[],n=ne(e._parsed[t].r,i.options.locale);return{label:s[t]||"",value:n}}parseObjectData(t,e,i,s){return ii.bind(this)(t,e,i,s)}update(t){const e=this._cachedMeta.data;this._updateRadius(),this.updateElements(e,0,e.length,t)}getMinMax(){const t=this._cachedMeta,e={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY};return t.data.forEach(((t,i)=>{const s=this.getParsed(i).r;!isNaN(s)&&this.chart.getDataVisibility(i)&&(se.max&&(e.max=s))})),e}_updateRadius(){const t=this.chart,e=t.chartArea,i=t.options,s=Math.min(e.right-e.left,e.bottom-e.top),n=Math.max(s/2,0),o=(n-Math.max(i.cutoutPercentage?n/100*i.cutoutPercentage:1,0))/t.getVisibleDatasetCount();this.outerRadius=n-o*this.index,this.innerRadius=this.outerRadius-o}updateElements(t,e,i,s){const n="reset"===s,o=this.chart,a=o.options.animation,r=this._cachedMeta.rScale,l=r.xCenter,h=r.yCenter,c=r.getIndexAngle(0)-.5*C;let d,u=c;const f=360/this.countVisibleElements();for(d=0;d{!isNaN(this.getParsed(i).r)&&this.chart.getDataVisibility(i)&&e++})),e}_computeAngle(t,e,i){return this.chart.getDataVisibility(t)?$(this.resolveDataElementOptions(t,e).angle||i):0}}var Yn=Object.freeze({__proto__:null,BarController:class extends Ns{static id="bar";static defaults={datasetElementType:!1,dataElementType:"bar",categoryPercentage:.8,barPercentage:.9,grouped:!0,animations:{numbers:{type:"number",properties:["x","y","base","width","height"]}}};static overrides={scales:{_index_:{type:"category",offset:!0,grid:{offset:!0}},_value_:{type:"linear",beginAtZero:!0}}};parsePrimitiveData(t,e,i,s){return Fn(t,e,i,s)}parseArrayData(t,e,i,s){return Fn(t,e,i,s)}parseObjectData(t,e,i,s){const{iScale:n,vScale:o}=t,{xAxisKey:a="x",yAxisKey:r="y"}=this._parsing,l="x"===n.axis?a:r,h="x"===o.axis?a:r,c=[];let d,u,f,g;for(d=i,u=i+s;dt.controller.options.grouped)),o=i.options.stacked,a=[],r=t=>{const i=t.controller.getParsed(e),n=i&&i[t.vScale.axis];if(s(n)||isNaN(n))return!0};for(const i of n)if((void 0===e||!r(i))&&((!1===o||-1===a.indexOf(i.stack)||void 0===o&&void 0===i.stack)&&a.push(i.stack),i.index===t))break;return a.length||a.push(void 0),a}_getStackCount(t){return this._getStacks(void 0,t).length}_getStackIndex(t,e,i){const s=this._getStacks(t,i),n=void 0!==e?s.indexOf(e):-1;return-1===n?s.length-1:n}_getRuler(){const t=this.options,e=this._cachedMeta,i=e.iScale,s=[];let n,o;for(n=0,o=e.data.length;n=i?1:-1)}(u,e,r)*a,f===r&&(b-=u/2);const t=e.getPixelForDecimal(0),s=e.getPixelForDecimal(1),o=Math.min(t,s),h=Math.max(t,s);b=Math.max(Math.min(b,h),o),d=b+u,i&&!c&&(l._stacks[e.axis]._visualValues[n]=e.getValueForPixel(d)-e.getValueForPixel(b))}if(b===e.getPixelForValue(r)){const t=F(u)*e.getLineWidthForValue(r)/2;b+=t,u-=t}return{size:u,base:b,head:d,center:d+u/2}}_calculateBarIndexPixels(t,e){const i=e.scale,n=this.options,o=n.skipNull,a=l(n.maxBarThickness,1/0);let r,h;if(e.grouped){const i=o?this._getStackCount(t):e.stackCount,l="flex"===n.barThickness?function(t,e,i,s){const n=e.pixels,o=n[t];let a=t>0?n[t-1]:null,r=t=0;--i)e=Math.max(e,t[i].size(this.resolveDataElementOptions(i))/2);return e>0&&e}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart.data.labels||[],{xScale:s,yScale:n}=e,o=this.getParsed(t),a=s.getLabelForValue(o.x),r=n.getLabelForValue(o.y),l=o._custom;return{label:i[t]||"",value:"("+a+", "+r+(l?", "+l:"")+")"}}update(t){const e=this._cachedMeta.data;this.updateElements(e,0,e.length,t)}updateElements(t,e,i,s){const n="reset"===s,{iScale:o,vScale:a}=this._cachedMeta,{sharedOptions:r,includeOptions:l}=this._getSharedOptions(e,s),h=o.axis,c=a.axis;for(let d=e;d0&&this.getParsed(e-1);for(let i=0;i<_;++i){const g=t[i],_=b?g:{};if(i=x){_.skip=!0;continue}const v=this.getParsed(i),M=s(v[f]),w=_[u]=a.getPixelForValue(v[u],i),k=_[f]=o||M?r.getBasePixel():r.getPixelForValue(l?this.applyStack(r,v,l):v[f],i);_.skip=isNaN(w)||isNaN(k)||M,_.stop=i>0&&Math.abs(v[u]-y[u])>m,p&&(_.parsed=v,_.raw=h.data[i]),d&&(_.options=c||this.resolveDataElementOptions(i,g.active?"active":n)),b||this.updateElement(g,i,_,n),y=v}}getMaxOverflow(){const 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e=this._cachedMeta,i=e.dataset,s=e.data||[],n=e.iScale.getLabels();if(i.points=s,"resize"!==t){const e=this.resolveDatasetElementOptions(t);this.options.showLine||(e.borderWidth=0);const o={_loop:!0,_fullLoop:n.length===s.length,options:e};this.updateElement(i,void 0,o,t)}this.updateElements(s,0,s.length,t)}updateElements(t,e,i,s){const n=this._cachedMeta.rScale,o="reset"===s;for(let a=e;a0&&this.getParsed(e-1);for(let c=e;c0&&Math.abs(i[f]-_[f])>b,m&&(p.parsed=i,p.raw=h.data[c]),u&&(p.options=d||this.resolveDataElementOptions(c,e.active?"active":n)),x||this.updateElement(e,c,p,n),_=i}this.updateSharedOptions(d,n,c)}getMaxOverflow(){const t=this._cachedMeta,e=t.data||[];if(!this.options.showLine){let t=0;for(let i=e.length-1;i>=0;--i)t=Math.max(t,e[i].size(this.resolveDataElementOptions(i))/2);return t>0&&t}const i=t.dataset,s=i.options&&i.options.borderWidth||0;if(!e.length)return s;const 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e=(k+S)/2;if(t.arc(a,r,d,k,e),t.arc(a,r,d,e,S),_>0){const e=Xn(w,S,a,r);t.arc(e.x,e.y,_,S,b+E)}const i=Xn(D,b,a,r);if(t.lineTo(i.x,i.y),v>0){const e=Xn(D,A,a,r);t.arc(e.x,e.y,v,b+E,A+Math.PI)}const s=(b-v/u+(m+y/u))/2;if(t.arc(a,r,u,b-v/u,s,!0),t.arc(a,r,u,s,m+y/u,!0),y>0){const e=Xn(P,O,a,r);t.arc(e.x,e.y,y,O+Math.PI,m-E)}const n=Xn(M,m,a,r);if(t.lineTo(n.x,n.y),x>0){const e=Xn(M,k,a,r);t.arc(e.x,e.y,x,m-E,k)}}else{t.moveTo(a,r);const e=Math.cos(k)*d+a,i=Math.sin(k)*d+r;t.lineTo(e,i);const s=Math.cos(S)*d+a,n=Math.sin(S)*d+r;t.lineTo(s,n)}t.closePath()}function Kn(t,e,i,s,n){const{fullCircles:o,startAngle:a,circumference:r,options:l}=e,{borderWidth:h,borderJoinStyle:c,borderDash:d,borderDashOffset:u}=l,f="inner"===l.borderAlign;if(!h)return;t.setLineDash(d||[]),t.lineDashOffset=u,f?(t.lineWidth=2*h,t.lineJoin=c||"round"):(t.lineWidth=h,t.lineJoin=c||"bevel");let g=e.endAngle;if(o){qn(t,e,i,s,g,n);for(let e=0;en?(h=n/l,t.arc(o,a,l,i+h,s-h,!0)):t.arc(o,a,n,i+E,s-E),t.closePath(),t.clip()}(t,e,g),o||(qn(t,e,i,s,g,n),t.stroke())}function Gn(t,e,i=e){t.lineCap=l(i.borderCapStyle,e.borderCapStyle),t.setLineDash(l(i.borderDash,e.borderDash)),t.lineDashOffset=l(i.borderDashOffset,e.borderDashOffset),t.lineJoin=l(i.borderJoinStyle,e.borderJoinStyle),t.lineWidth=l(i.borderWidth,e.borderWidth),t.strokeStyle=l(i.borderColor,e.borderColor)}function Zn(t,e,i){t.lineTo(i.x,i.y)}function Jn(t,e,i={}){const s=t.length,{start:n=0,end:o=s-1}=i,{start:a,end:r}=e,l=Math.max(n,a),h=Math.min(o,r),c=nr&&o>r;return{count:s,start:l,loop:e.loop,ilen:h(a+(h?r-t:t))%o,_=()=>{f!==g&&(t.lineTo(m,g),t.lineTo(m,f),t.lineTo(m,p))};for(l&&(d=n[x(0)],t.moveTo(d.x,d.y)),c=0;c<=r;++c){if(d=n[x(c)],d.skip)continue;const e=d.x,i=d.y,s=0|e;s===u?(ig&&(g=i),m=(b*m+e)/++b):(_(),t.lineTo(e,i),u=s,b=0,f=g=i),p=i}_()}function eo(t){const e=t.options,i=e.borderDash&&e.borderDash.length;return!(t._decimated||t._loop||e.tension||"monotone"===e.cubicInterpolationMode||e.stepped||i)?to:Qn}const io="function"==typeof Path2D;function so(t,e,i,s){io&&!e.options.segment?function(t,e,i,s){let n=e._path;n||(n=e._path=new Path2D,e.path(n,i,s)&&n.closePath()),Gn(t,e.options),t.stroke(n)}(t,e,i,s):function(t,e,i,s){const{segments:n,options:o}=e,a=eo(e);for(const r of n)Gn(t,o,r.style),t.beginPath(),a(t,e,r,{start:i,end:i+s-1})&&t.closePath(),t.stroke()}(t,e,i,s)}class no extends Hs{static id="line";static defaults={borderCapStyle:"butt",borderDash:[],borderDashOffset:0,borderJoinStyle:"miter",borderWidth:3,capBezierPoints:!0,cubicInterpolationMode:"default",fill:!1,spanGaps:!1,stepped:!1,tension:0};static defaultRoutes={backgroundColor:"backgroundColor",borderColor:"borderColor"};static descriptors={_scriptable:!0,_indexable:t=>"borderDash"!==t&&"fill"!==t};constructor(t){super(),this.animated=!0,this.options=void 0,this._chart=void 0,this._loop=void 0,this._fullLoop=void 0,this._path=void 0,this._points=void 0,this._segments=void 0,this._decimated=!1,this._pointsUpdated=!1,this._datasetIndex=void 0,t&&Object.assign(this,t)}updateControlPoints(t,e){const i=this.options;if((i.tension||"monotone"===i.cubicInterpolationMode)&&!i.stepped&&!this._pointsUpdated){const s=i.spanGaps?this._loop:this._fullLoop;hi(this._points,i,t,s,e),this._pointsUpdated=!0}}set points(t){this._points=t,delete this._segments,delete this._path,this._pointsUpdated=!1}get points(){return this._points}get segments(){return this._segments||(this._segments=zi(this,this.options.segment))}first(){const t=this.segments,e=this.points;return t.length&&e[t[0].start]}last(){const t=this.segments,e=this.points,i=t.length;return i&&e[t[i-1].end]}interpolate(t,e){const i=this.options,s=t[e],n=this.points,o=Ii(this,{property:e,start:s,end:s});if(!o.length)return;const a=[],r=function(t){return t.stepped?pi:t.tension||"monotone"===t.cubicInterpolationMode?mi:gi}(i);let l,h;for(l=0,h=o.length;l"borderDash"!==t};circumference;endAngle;fullCircles;innerRadius;outerRadius;pixelMargin;startAngle;constructor(t){super(),this.options=void 0,this.circumference=void 0,this.startAngle=void 0,this.endAngle=void 0,this.innerRadius=void 0,this.outerRadius=void 0,this.pixelMargin=0,this.fullCircles=0,t&&Object.assign(this,t)}inRange(t,e,i){const s=this.getProps(["x","y"],i),{angle:n,distance:o}=X(s,{x:t,y:e}),{startAngle:a,endAngle:r,innerRadius:h,outerRadius:c,circumference:d}=this.getProps(["startAngle","endAngle","innerRadius","outerRadius","circumference"],i),u=(this.options.spacing+this.options.borderWidth)/2,f=l(d,r-a)>=O||Z(n,a,r),g=tt(o,h+u,c+u);return f&&g}getCenterPoint(t){const{x:e,y:i,startAngle:s,endAngle:n,innerRadius:o,outerRadius:a}=this.getProps(["x","y","startAngle","endAngle","innerRadius","outerRadius"],t),{offset:r,spacing:l}=this.options,h=(s+n)/2,c=(o+a+l+r)/2;return{x:e+Math.cos(h)*c,y:i+Math.sin(h)*c}}tooltipPosition(t){return this.getCenterPoint(t)}draw(t){const{options:e,circumference:i}=this,s=(e.offset||0)/4,n=(e.spacing||0)/2,o=e.circular;if(this.pixelMargin="inner"===e.borderAlign?.33:0,this.fullCircles=i>O?Math.floor(i/O):0,0===i||this.innerRadius<0||this.outerRadius<0)return;t.save();const a=(this.startAngle+this.endAngle)/2;t.translate(Math.cos(a)*s,Math.sin(a)*s);const r=s*(1-Math.sin(Math.min(C,i||0)));t.fillStyle=e.backgroundColor,t.strokeStyle=e.borderColor,function(t,e,i,s,n){const{fullCircles:o,startAngle:a,circumference:r}=e;let l=e.endAngle;if(o){qn(t,e,i,s,l,n);for(let e=0;e("string"==typeof e?(i=t.push(e)-1,s.unshift({index:i,label:e})):isNaN(e)&&(i=null),i))(t,e,i,s);return n!==t.lastIndexOf(e)?i:n}function po(t){const e=this.getLabels();return t>=0&&ts=e?s:t,a=t=>n=i?n:t;if(t){const t=F(s),e=F(n);t<0&&e<0?a(0):t>0&&e>0&&o(0)}if(s===n){let e=0===n?1:Math.abs(.05*n);a(n+e),t||o(s-e)}this.min=s,this.max=n}getTickLimit(){const t=this.options.ticks;let e,{maxTicksLimit:i,stepSize:s}=t;return s?(e=Math.ceil(this.max/s)-Math.floor(this.min/s)+1,e>1e3&&(console.warn(`scales.${this.id}.ticks.stepSize: ${s} would result generating up to ${e} ticks. Limiting to 1000.`),e=1e3)):(e=this.computeTickLimit(),i=i||11),i&&(e=Math.min(i,e)),e}computeTickLimit(){return Number.POSITIVE_INFINITY}buildTicks(){const t=this.options,e=t.ticks;let i=this.getTickLimit();i=Math.max(2,i);const n=function(t,e){const i=[],{bounds:n,step:o,min:a,max:r,precision:l,count:h,maxTicks:c,maxDigits:d,includeBounds:u}=t,f=o||1,g=c-1,{min:p,max:m}=e,b=!s(a),x=!s(r),_=!s(h),y=(m-p)/(d+1);let v,M,w,k,S=B((m-p)/g/f)*f;if(S<1e-14&&!b&&!x)return[{value:p},{value:m}];k=Math.ceil(m/S)-Math.floor(p/S),k>g&&(S=B(k*S/g/f)*f),s(l)||(v=Math.pow(10,l),S=Math.ceil(S*v)/v),"ticks"===n?(M=Math.floor(p/S)*S,w=Math.ceil(m/S)*S):(M=p,w=m),b&&x&&o&&H((r-a)/o,S/1e3)?(k=Math.round(Math.min((r-a)/S,c)),S=(r-a)/k,M=a,w=r):_?(M=b?a:M,w=x?r:w,k=h-1,S=(w-M)/k):(k=(w-M)/S,k=V(k,Math.round(k),S/1e3)?Math.round(k):Math.ceil(k));const P=Math.max(U(S),U(M));v=Math.pow(10,s(l)?P:l),M=Math.round(M*v)/v,w=Math.round(w*v)/v;let D=0;for(b&&(u&&M!==a?(i.push({value:a}),Mr)break;i.push({value:t})}return x&&u&&w!==r?i.length&&V(i[i.length-1].value,r,mo(r,y,t))?i[i.length-1].value=r:i.push({value:r}):x&&w!==r||i.push({value:w}),i}({maxTicks:i,bounds:t.bounds,min:t.min,max:t.max,precision:e.precision,step:e.stepSize,count:e.count,maxDigits:this._maxDigits(),horizontal:this.isHorizontal(),minRotation:e.minRotation||0,includeBounds:!1!==e.includeBounds},this._range||this);return"ticks"===t.bounds&&j(n,this,"value"),t.reverse?(n.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),n}configure(){const t=this.ticks;let e=this.min,i=this.max;if(super.configure(),this.options.offset&&t.length){const s=(i-e)/Math.max(t.length-1,1)/2;e-=s,i+=s}this._startValue=e,this._endValue=i,this._valueRange=i-e}getLabelForValue(t){return ne(t,this.chart.options.locale,this.options.ticks.format)}}class xo extends bo{static id="linear";static defaults={ticks:{callback:ae.formatters.numeric}};determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=a(t)?t:0,this.max=a(e)?e:1,this.handleTickRangeOptions()}computeTickLimit(){const t=this.isHorizontal(),e=t?this.width:this.height,i=$(this.options.ticks.minRotation),s=(t?Math.sin(i):Math.cos(i))||.001,n=this._resolveTickFontOptions(0);return Math.ceil(e/Math.min(40,n.lineHeight/s))}getPixelForValue(t){return null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getValueForPixel(t){return this._startValue+this.getDecimalForPixel(t)*this._valueRange}}const _o=t=>Math.floor(z(t)),yo=(t,e)=>Math.pow(10,_o(t)+e);function vo(t){return 1===t/Math.pow(10,_o(t))}function Mo(t,e,i){const s=Math.pow(10,i),n=Math.floor(t/s);return Math.ceil(e/s)-n}function wo(t,{min:e,max:i}){e=r(t.min,e);const s=[],n=_o(e);let o=function(t,e){let i=_o(e-t);for(;Mo(t,e,i)>10;)i++;for(;Mo(t,e,i)<10;)i--;return Math.min(i,_o(t))}(e,i),a=o<0?Math.pow(10,Math.abs(o)):1;const l=Math.pow(10,o),h=n>o?Math.pow(10,n):0,c=Math.round((e-h)*a)/a,d=Math.floor((e-h)/l/10)*l*10;let u=Math.floor((c-d)/Math.pow(10,o)),f=r(t.min,Math.round((h+d+u*Math.pow(10,o))*a)/a);for(;f=10?u=u<15?15:20:u++,u>=20&&(o++,u=2,a=o>=0?1:a),f=Math.round((h+d+u*Math.pow(10,o))*a)/a;const g=r(t.max,f);return s.push({value:g,major:vo(g),significand:u}),s}class ko extends Js{static id="logarithmic";static defaults={ticks:{callback:ae.formatters.logarithmic,major:{enabled:!0}}};constructor(t){super(t),this.start=void 0,this.end=void 0,this._startValue=void 0,this._valueRange=0}parse(t,e){const i=bo.prototype.parse.apply(this,[t,e]);if(0!==i)return a(i)&&i>0?i:null;this._zero=!0}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=a(t)?Math.max(0,t):null,this.max=a(e)?Math.max(0,e):null,this.options.beginAtZero&&(this._zero=!0),this._zero&&this.min!==this._suggestedMin&&!a(this._userMin)&&(this.min=t===yo(this.min,0)?yo(this.min,-1):yo(this.min,0)),this.handleTickRangeOptions()}handleTickRangeOptions(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let i=this.min,s=this.max;const n=e=>i=t?i:e,o=t=>s=e?s:t;i===s&&(i<=0?(n(1),o(10)):(n(yo(i,-1)),o(yo(s,1)))),i<=0&&n(yo(s,-1)),s<=0&&o(yo(i,1)),this.min=i,this.max=s}buildTicks(){const t=this.options,e=wo({min:this._userMin,max:this._userMax},this);return"ticks"===t.bounds&&j(e,this,"value"),t.reverse?(e.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),e}getLabelForValue(t){return void 0===t?"0":ne(t,this.chart.options.locale,this.options.ticks.format)}configure(){const t=this.min;super.configure(),this._startValue=z(t),this._valueRange=z(this.max)-z(t)}getPixelForValue(t){return void 0!==t&&0!==t||(t=this.min),null===t||isNaN(t)?NaN:this.getPixelForDecimal(t===this.min?0:(z(t)-this._startValue)/this._valueRange)}getValueForPixel(t){const e=this.getDecimalForPixel(t);return Math.pow(10,this._startValue+e*this._valueRange)}}function So(t){const e=t.ticks;if(e.display&&t.display){const t=ki(e.backdropPadding);return l(e.font&&e.font.size,ue.font.size)+t.height}return 0}function Po(t,e,i,s,n){return t===s||t===n?{start:e-i/2,end:e+i/2}:tn?{start:e-i,end:e}:{start:e,end:e+i}}function Do(t){const e={l:t.left+t._padding.left,r:t.right-t._padding.right,t:t.top+t._padding.top,b:t.bottom-t._padding.bottom},i=Object.assign({},e),s=[],o=[],a=t._pointLabels.length,r=t.options.pointLabels,l=r.centerPointLabels?C/a:0;for(let u=0;ue.r&&(r=(s.end-e.r)/o,t.r=Math.max(t.r,e.r+r)),n.starte.b&&(l=(n.end-e.b)/a,t.b=Math.max(t.b,e.b+l))}function Oo(t,e,i){const s=t.drawingArea,{extra:n,additionalAngle:o,padding:a,size:r}=i,l=t.getPointPosition(e,s+n+a,o),h=Math.round(Y(G(l.angle+E))),c=function(t,e,i){90===i||270===i?t-=e/2:(i>270||i<90)&&(t-=e);return t}(l.y,r.h,h),d=function(t){if(0===t||180===t)return"center";if(t<180)return"left";return"right"}(h),u=function(t,e,i){"right"===i?t-=e:"center"===i&&(t-=e/2);return t}(l.x,r.w,d);return{visible:!0,x:l.x,y:c,textAlign:d,left:u,top:c,right:u+r.w,bottom:c+r.h}}function Ao(t,e){if(!e)return!0;const{left:i,top:s,right:n,bottom:o}=t;return!(Re({x:i,y:s},e)||Re({x:i,y:o},e)||Re({x:n,y:s},e)||Re({x:n,y:o},e))}function To(t,e,i){const{left:n,top:o,right:a,bottom:r}=i,{backdropColor:l}=e;if(!s(l)){const i=wi(e.borderRadius),s=ki(e.backdropPadding);t.fillStyle=l;const h=n-s.left,c=o-s.top,d=a-n+s.width,u=r-o+s.height;Object.values(i).some((t=>0!==t))?(t.beginPath(),He(t,{x:h,y:c,w:d,h:u,radius:i}),t.fill()):t.fillRect(h,c,d,u)}}function Lo(t,e,i,s){const{ctx:n}=t;if(i)n.arc(t.xCenter,t.yCenter,e,0,O);else{let i=t.getPointPosition(0,e);n.moveTo(i.x,i.y);for(let o=1;ot,padding:5,centerPointLabels:!1}};static defaultRoutes={"angleLines.color":"borderColor","pointLabels.color":"color","ticks.color":"color"};static descriptors={angleLines:{_fallback:"grid"}};constructor(t){super(t),this.xCenter=void 0,this.yCenter=void 0,this.drawingArea=void 0,this._pointLabels=[],this._pointLabelItems=[]}setDimensions(){const t=this._padding=ki(So(this.options)/2),e=this.width=this.maxWidth-t.width,i=this.height=this.maxHeight-t.height;this.xCenter=Math.floor(this.left+e/2+t.left),this.yCenter=Math.floor(this.top+i/2+t.top),this.drawingArea=Math.floor(Math.min(e,i)/2)}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!1);this.min=a(t)&&!isNaN(t)?t:0,this.max=a(e)&&!isNaN(e)?e:0,this.handleTickRangeOptions()}computeTickLimit(){return Math.ceil(this.drawingArea/So(this.options))}generateTickLabels(t){bo.prototype.generateTickLabels.call(this,t),this._pointLabels=this.getLabels().map(((t,e)=>{const i=d(this.options.pointLabels.callback,[t,e],this);return i||0===i?i:""})).filter(((t,e)=>this.chart.getDataVisibility(e)))}fit(){const t=this.options;t.display&&t.pointLabels.display?Do(this):this.setCenterPoint(0,0,0,0)}setCenterPoint(t,e,i,s){this.xCenter+=Math.floor((t-e)/2),this.yCenter+=Math.floor((i-s)/2),this.drawingArea-=Math.min(this.drawingArea/2,Math.max(t,e,i,s))}getIndexAngle(t){return G(t*(O/(this._pointLabels.length||1))+$(this.options.startAngle||0))}getDistanceFromCenterForValue(t){if(s(t))return NaN;const e=this.drawingArea/(this.max-this.min);return this.options.reverse?(this.max-t)*e:(t-this.min)*e}getValueForDistanceFromCenter(t){if(s(t))return NaN;const e=t/(this.drawingArea/(this.max-this.min));return this.options.reverse?this.max-e:this.min+e}getPointLabelContext(t){const e=this._pointLabels||[];if(t>=0&&t=0;n--){const e=t._pointLabelItems[n];if(!e.visible)continue;const o=s.setContext(t.getPointLabelContext(n));To(i,o,e);const a=Si(o.font),{x:r,y:l,textAlign:h}=e;Ne(i,t._pointLabels[n],r,l+a.lineHeight/2,a,{color:o.color,textAlign:h,textBaseline:"middle"})}}(this,o),s.display&&this.ticks.forEach(((t,e)=>{if(0!==e){r=this.getDistanceFromCenterForValue(t.value);const i=this.getContext(e),a=s.setContext(i),l=n.setContext(i);!function(t,e,i,s,n){const o=t.ctx,a=e.circular,{color:r,lineWidth:l}=e;!a&&!s||!r||!l||i<0||(o.save(),o.strokeStyle=r,o.lineWidth=l,o.setLineDash(n.dash),o.lineDashOffset=n.dashOffset,o.beginPath(),Lo(t,i,a,s),o.closePath(),o.stroke(),o.restore())}(this,a,r,o,l)}})),i.display){for(t.save(),a=o-1;a>=0;a--){const s=i.setContext(this.getPointLabelContext(a)),{color:n,lineWidth:o}=s;o&&n&&(t.lineWidth=o,t.strokeStyle=n,t.setLineDash(s.borderDash),t.lineDashOffset=s.borderDashOffset,r=this.getDistanceFromCenterForValue(e.ticks.reverse?this.min:this.max),l=this.getPointPosition(a,r),t.beginPath(),t.moveTo(this.xCenter,this.yCenter),t.lineTo(l.x,l.y),t.stroke())}t.restore()}}drawBorder(){}drawLabels(){const t=this.ctx,e=this.options,i=e.ticks;if(!i.display)return;const s=this.getIndexAngle(0);let n,o;t.save(),t.translate(this.xCenter,this.yCenter),t.rotate(s),t.textAlign="center",t.textBaseline="middle",this.ticks.forEach(((s,a)=>{if(0===a&&!e.reverse)return;const r=i.setContext(this.getContext(a)),l=Si(r.font);if(n=this.getDistanceFromCenterForValue(this.ticks[a].value),r.showLabelBackdrop){t.font=l.string,o=t.measureText(s.label).width,t.fillStyle=r.backdropColor;const e=ki(r.backdropPadding);t.fillRect(-o/2-e.left,-n-l.size/2-e.top,o+e.width,l.size+e.height)}Ne(t,s.label,0,-n,l,{color:r.color,strokeColor:r.textStrokeColor,strokeWidth:r.textStrokeWidth})})),t.restore()}drawTitle(){}}const Ro={millisecond:{common:!0,size:1,steps:1e3},second:{common:!0,size:1e3,steps:60},minute:{common:!0,size:6e4,steps:60},hour:{common:!0,size:36e5,steps:24},day:{common:!0,size:864e5,steps:30},week:{common:!1,size:6048e5,steps:4},month:{common:!0,size:2628e6,steps:12},quarter:{common:!1,size:7884e6,steps:4},year:{common:!0,size:3154e7}},Io=Object.keys(Ro);function zo(t,e){return t-e}function Fo(t,e){if(s(e))return null;const i=t._adapter,{parser:n,round:o,isoWeekday:r}=t._parseOpts;let l=e;return"function"==typeof n&&(l=n(l)),a(l)||(l="string"==typeof n?i.parse(l,n):i.parse(l)),null===l?null:(o&&(l="week"!==o||!N(r)&&!0!==r?i.startOf(l,o):i.startOf(l,"isoWeek",r)),+l)}function Vo(t,e,i,s){const n=Io.length;for(let o=Io.indexOf(t);o=e?i[s]:i[n]]=!0}}else t[e]=!0}function Wo(t,e,i){const s=[],n={},o=e.length;let a,r;for(a=0;a=0&&(e[l].major=!0);return e}(t,s,n,i):s}class No extends Js{static id="time";static defaults={bounds:"data",adapters:{},time:{parser:!1,unit:!1,round:!1,isoWeekday:!1,minUnit:"millisecond",displayFormats:{}},ticks:{source:"auto",callback:!1,major:{enabled:!1}}};constructor(t){super(t),this._cache={data:[],labels:[],all:[]},this._unit="day",this._majorUnit=void 0,this._offsets={},this._normalized=!1,this._parseOpts=void 0}init(t,e={}){const i=t.time||(t.time={}),s=this._adapter=new Rn._date(t.adapters.date);s.init(e),x(i.displayFormats,s.formats()),this._parseOpts={parser:i.parser,round:i.round,isoWeekday:i.isoWeekday},super.init(t),this._normalized=e.normalized}parse(t,e){return void 0===t?null:Fo(this,t)}beforeLayout(){super.beforeLayout(),this._cache={data:[],labels:[],all:[]}}determineDataLimits(){const t=this.options,e=this._adapter,i=t.time.unit||"day";let{min:s,max:n,minDefined:o,maxDefined:r}=this.getUserBounds();function l(t){o||isNaN(t.min)||(s=Math.min(s,t.min)),r||isNaN(t.max)||(n=Math.max(n,t.max))}o&&r||(l(this._getLabelBounds()),"ticks"===t.bounds&&"labels"===t.ticks.source||l(this.getMinMax(!1))),s=a(s)&&!isNaN(s)?s:+e.startOf(Date.now(),i),n=a(n)&&!isNaN(n)?n:+e.endOf(Date.now(),i)+1,this.min=Math.min(s,n-1),this.max=Math.max(s+1,n)}_getLabelBounds(){const t=this.getLabelTimestamps();let e=Number.POSITIVE_INFINITY,i=Number.NEGATIVE_INFINITY;return t.length&&(e=t[0],i=t[t.length-1]),{min:e,max:i}}buildTicks(){const t=this.options,e=t.time,i=t.ticks,s="labels"===i.source?this.getLabelTimestamps():this._generate();"ticks"===t.bounds&&s.length&&(this.min=this._userMin||s[0],this.max=this._userMax||s[s.length-1]);const n=this.min,o=nt(s,n,this.max);return this._unit=e.unit||(i.autoSkip?Vo(e.minUnit,this.min,this.max,this._getLabelCapacity(n)):function(t,e,i,s,n){for(let o=Io.length-1;o>=Io.indexOf(i);o--){const i=Io[o];if(Ro[i].common&&t._adapter.diff(n,s,i)>=e-1)return i}return Io[i?Io.indexOf(i):0]}(this,o.length,e.minUnit,this.min,this.max)),this._majorUnit=i.major.enabled&&"year"!==this._unit?function(t){for(let e=Io.indexOf(t)+1,i=Io.length;e+t.value)))}initOffsets(t=[]){let e,i,s=0,n=0;this.options.offset&&t.length&&(e=this.getDecimalForValue(t[0]),s=1===t.length?1-e:(this.getDecimalForValue(t[1])-e)/2,i=this.getDecimalForValue(t[t.length-1]),n=1===t.length?i:(i-this.getDecimalForValue(t[t.length-2]))/2);const o=t.length<3?.5:.25;s=J(s,0,o),n=J(n,0,o),this._offsets={start:s,end:n,factor:1/(s+1+n)}}_generate(){const t=this._adapter,e=this.min,i=this.max,s=this.options,n=s.time,o=n.unit||Vo(n.minUnit,e,i,this._getLabelCapacity(e)),a=l(s.ticks.stepSize,1),r="week"===o&&n.isoWeekday,h=N(r)||!0===r,c={};let d,u,f=e;if(h&&(f=+t.startOf(f,"isoWeek",r)),f=+t.startOf(f,h?"day":o),t.diff(i,e,o)>1e5*a)throw new Error(e+" and "+i+" are too far apart with 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this._cache.data=s[0].controller.getAllParsedValues(this);for(t=0,e=s.length;t=t[r].pos&&e<=t[l].pos&&({lo:r,hi:l}=it(t,"pos",e)),({pos:s,time:o}=t[r]),({pos:n,time:a}=t[l])):(e>=t[r].time&&e<=t[l].time&&({lo:r,hi:l}=it(t,"time",e)),({time:s,pos:o}=t[r]),({time:n,pos:a}=t[l]));const h=n-s;return h?o+(a-o)*(e-s)/h:o}var jo=Object.freeze({__proto__:null,CategoryScale:class extends Js{static id="category";static defaults={ticks:{callback:po}};constructor(t){super(t),this._startValue=void 0,this._valueRange=0,this._addedLabels=[]}init(t){const e=this._addedLabels;if(e.length){const t=this.getLabels();for(const{index:i,label:s}of e)t[i]===s&&t.splice(i,1);this._addedLabels=[]}super.init(t)}parse(t,e){if(s(t))return null;const i=this.getLabels();return((t,e)=>null===t?null:J(Math.round(t),0,e))(e=isFinite(e)&&i[e]===t?e:go(i,t,l(e,t),this._addedLabels),i.length-1)}determineDataLimits(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let{min:i,max:s}=this.getMinMax(!0);"ticks"===this.options.bounds&&(t||(i=0),e||(s=this.getLabels().length-1)),this.min=i,this.max=s}buildTicks(){const t=this.min,e=this.max,i=this.options.offset,s=[];let n=this.getLabels();n=0===t&&e===n.length-1?n:n.slice(t,e+1),this._valueRange=Math.max(n.length-(i?0:1),1),this._startValue=this.min-(i?.5:0);for(let i=t;i<=e;i++)s.push({value:i});return s}getLabelForValue(t){return po.call(this,t)}configure(){super.configure(),this.isHorizontal()||(this._reversePixels=!this._reversePixels)}getPixelForValue(t){return"number"!=typeof t&&(t=this.parse(t)),null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getValueForPixel(t){return Math.round(this._startValue+this.getDecimalForPixel(t)*this._valueRange)}getBasePixel(){return this.bottom}},LinearScale:xo,LogarithmicScale:ko,RadialLinearScale:Eo,TimeScale:No,TimeSeriesScale:class extends No{static id="timeseries";static defaults=No.defaults;constructor(t){super(t),this._table=[],this._minPos=void 0,this._tableRange=void 0}initOffsets(){const t=this._getTimestampsForTable(),e=this._table=this.buildLookupTable(t);this._minPos=Ho(e,this.min),this._tableRange=Ho(e,this.max)-this._minPos,super.initOffsets(t)}buildLookupTable(t){const{min:e,max:i}=this,s=[],n=[];let o,a,r,l,h;for(o=0,a=t.length;o=e&&l<=i&&s.push(l);if(s.length<2)return[{time:e,pos:0},{time:i,pos:1}];for(o=0,a=s.length;ot-e))}_getTimestampsForTable(){let t=this._cache.all||[];if(t.length)return t;const e=this.getDataTimestamps(),i=this.getLabelTimestamps();return t=e.length&&i.length?this.normalize(e.concat(i)):e.length?e:i,t=this._cache.all=t,t}getDecimalForValue(t){return(Ho(this._table,t)-this._minPos)/this._tableRange}getValueForPixel(t){const e=this._offsets,i=this.getDecimalForPixel(t)/e.factor-e.end;return Ho(this._table,i*this._tableRange+this._minPos,!0)}}});const $o=["rgb(54, 162, 235)","rgb(255, 99, 132)","rgb(255, 159, 64)","rgb(255, 205, 86)","rgb(75, 192, 192)","rgb(153, 102, 255)","rgb(201, 203, 207)"],Yo=$o.map((t=>t.replace("rgb(","rgba(").replace(")",", 0.5)")));function Uo(t){return $o[t%$o.length]}function Xo(t){return Yo[t%Yo.length]}function qo(t){let e=0;return(i,s)=>{const n=t.getDatasetMeta(s).controller;n instanceof jn?e=function(t,e){return t.backgroundColor=t.data.map((()=>Uo(e++))),e}(i,e):n instanceof $n?e=function(t,e){return t.backgroundColor=t.data.map((()=>Xo(e++))),e}(i,e):n&&(e=function(t,e){return t.borderColor=Uo(e),t.backgroundColor=Xo(e),++e}(i,e))}}function Ko(t){let e;for(e in t)if(t[e].borderColor||t[e].backgroundColor)return!0;return!1}var Go={id:"colors",defaults:{enabled:!0,forceOverride:!1},beforeLayout(t,e,i){if(!i.enabled)return;const{data:{datasets:s},options:n}=t.config,{elements:o}=n;if(!i.forceOverride&&(Ko(s)||(a=n)&&(a.borderColor||a.backgroundColor)||o&&Ko(o)))return;var a;const r=qo(t);s.forEach(r)}};function Zo(t){if(t._decimated){const e=t._data;delete t._decimated,delete t._data,Object.defineProperty(t,"data",{configurable:!0,enumerable:!0,writable:!0,value:e})}}function Jo(t){t.data.datasets.forEach((t=>{Zo(t)}))}var Qo={id:"decimation",defaults:{algorithm:"min-max",enabled:!1},beforeElementsUpdate:(t,e,i)=>{if(!i.enabled)return void Jo(t);const n=t.width;t.data.datasets.forEach(((e,o)=>{const{_data:a,indexAxis:r}=e,l=t.getDatasetMeta(o),h=a||e.data;if("y"===Pi([r,t.options.indexAxis]))return;if(!l.controller.supportsDecimation)return;const c=t.scales[l.xAxisID];if("linear"!==c.type&&"time"!==c.type)return;if(t.options.parsing)return;let{start:d,count:u}=function(t,e){const i=e.length;let s,n=0;const{iScale:o}=t,{min:a,max:r,minDefined:l,maxDefined:h}=o.getUserBounds();return l&&(n=J(it(e,o.axis,a).lo,0,i-1)),s=h?J(it(e,o.axis,r).hi+1,n,i)-n:i-n,{start:n,count:s}}(l,h);if(u<=(i.threshold||4*n))return void Zo(e);let f;switch(s(a)&&(e._data=h,delete e.data,Object.defineProperty(e,"data",{configurable:!0,enumerable:!0,get:function(){return this._decimated},set:function(t){this._data=t}})),i.algorithm){case"lttb":f=function(t,e,i,s,n){const o=n.samples||s;if(o>=i)return t.slice(e,e+i);const a=[],r=(i-2)/(o-2);let l=0;const h=e+i-1;let c,d,u,f,g,p=e;for(a[l++]=t[p],c=0;cu&&(u=f,d=t[s],g=s);a[l++]=d,p=g}return a[l++]=t[h],a}(h,d,u,n,i);break;case"min-max":f=function(t,e,i,n){let o,a,r,l,h,c,d,u,f,g,p=0,m=0;const b=[],x=e+i-1,_=t[e].x,y=t[x].x-_;for(o=e;og&&(g=l,d=o),p=(m*p+a.x)/++m;else{const i=o-1;if(!s(c)&&!s(d)){const e=Math.min(c,d),s=Math.max(c,d);e!==u&&e!==i&&b.push({...t[e],x:p}),s!==u&&s!==i&&b.push({...t[s],x:p})}o>0&&i!==u&&b.push(t[i]),b.push(a),h=e,m=0,f=g=l,c=d=u=o}}return b}(h,d,u,n);break;default:throw new Error(`Unsupported decimation algorithm '${i.algorithm}'`)}e._decimated=f}))},destroy(t){Jo(t)}};function ta(t,e,i,s){if(s)return;let n=e[t],o=i[t];return"angle"===t&&(n=G(n),o=G(o)),{property:t,start:n,end:o}}function ea(t,e,i){for(;e>t;e--){const t=i[e];if(!isNaN(t.x)&&!isNaN(t.y))break}return e}function ia(t,e,i,s){return t&&e?s(t[i],e[i]):t?t[i]:e?e[i]:0}function sa(t,e){let i=[],s=!1;return n(t)?(s=!0,i=t):i=function(t,e){const{x:i=null,y:s=null}=t||{},n=e.points,o=[];return e.segments.forEach((({start:t,end:e})=>{e=ea(t,e,n);const a=n[t],r=n[e];null!==s?(o.push({x:a.x,y:s}),o.push({x:r.x,y:s})):null!==i&&(o.push({x:i,y:a.y}),o.push({x:i,y:r.y}))})),o}(t,e),i.length?new no({points:i,options:{tension:0},_loop:s,_fullLoop:s}):null}function na(t){return t&&!1!==t.fill}function oa(t,e,i){let s=t[e].fill;const n=[e];let o;if(!i)return s;for(;!1!==s&&-1===n.indexOf(s);){if(!a(s))return s;if(o=t[s],!o)return!1;if(o.visible)return s;n.push(s),s=o.fill}return!1}function aa(t,e,i){const s=function(t){const e=t.options,i=e.fill;let s=l(i&&i.target,i);void 0===s&&(s=!!e.backgroundColor);if(!1===s||null===s)return!1;if(!0===s)return"origin";return s}(t);if(o(s))return!isNaN(s.value)&&s;let n=parseFloat(s);return a(n)&&Math.floor(n)===n?function(t,e,i,s){"-"!==t&&"+"!==t||(i=e+i);if(i===e||i<0||i>=s)return!1;return i}(s[0],e,n,i):["origin","start","end","stack","shape"].indexOf(s)>=0&&s}function ra(t,e,i){const s=[];for(let n=0;n=0;--e){const i=n[e].$filler;i&&(i.line.updateControlPoints(o,i.axis),s&&i.fill&&da(t.ctx,i,o))}},beforeDatasetsDraw(t,e,i){if("beforeDatasetsDraw"!==i.drawTime)return;const s=t.getSortedVisibleDatasetMetas();for(let e=s.length-1;e>=0;--e){const i=s[e].$filler;na(i)&&da(t.ctx,i,t.chartArea)}},beforeDatasetDraw(t,e,i){const s=e.meta.$filler;na(s)&&"beforeDatasetDraw"===i.drawTime&&da(t.ctx,s,t.chartArea)},defaults:{propagate:!0,drawTime:"beforeDatasetDraw"}};const ba=(t,e)=>{let{boxHeight:i=e,boxWidth:s=e}=t;return t.usePointStyle&&(i=Math.min(i,e),s=t.pointStyleWidth||Math.min(s,e)),{boxWidth:s,boxHeight:i,itemHeight:Math.max(e,i)}};class xa extends Hs{constructor(t){super(),this._added=!1,this.legendHitBoxes=[],this._hoveredItem=null,this.doughnutMode=!1,this.chart=t.chart,this.options=t.options,this.ctx=t.ctx,this.legendItems=void 0,this.columnSizes=void 0,this.lineWidths=void 0,this.maxHeight=void 0,this.maxWidth=void 0,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.height=void 0,this.width=void 0,this._margins=void 0,this.position=void 0,this.weight=void 0,this.fullSize=void 0}update(t,e,i){this.maxWidth=t,this.maxHeight=e,this._margins=i,this.setDimensions(),this.buildLabels(),this.fit()}setDimensions(){this.isHorizontal()?(this.width=this.maxWidth,this.left=this._margins.left,this.right=this.width):(this.height=this.maxHeight,this.top=this._margins.top,this.bottom=this.height)}buildLabels(){const t=this.options.labels||{};let e=d(t.generateLabels,[this.chart],this)||[];t.filter&&(e=e.filter((e=>t.filter(e,this.chart.data)))),t.sort&&(e=e.sort(((e,i)=>t.sort(e,i,this.chart.data)))),this.options.reverse&&e.reverse(),this.legendItems=e}fit(){const{options:t,ctx:e}=this;if(!t.display)return void(this.width=this.height=0);const i=t.labels,s=Si(i.font),n=s.size,o=this._computeTitleHeight(),{boxWidth:a,itemHeight:r}=ba(i,n);let l,h;e.font=s.string,this.isHorizontal()?(l=this.maxWidth,h=this._fitRows(o,n,a,r)+10):(h=this.maxHeight,l=this._fitCols(o,s,a,r)+10),this.width=Math.min(l,t.maxWidth||this.maxWidth),this.height=Math.min(h,t.maxHeight||this.maxHeight)}_fitRows(t,e,i,s){const{ctx:n,maxWidth:o,options:{labels:{padding:a}}}=this,r=this.legendHitBoxes=[],l=this.lineWidths=[0],h=s+a;let c=t;n.textAlign="left",n.textBaseline="middle";let d=-1,u=-h;return this.legendItems.forEach(((t,f)=>{const g=i+e/2+n.measureText(t.text).width;(0===f||l[l.length-1]+g+2*a>o)&&(c+=h,l[l.length-(f>0?0:1)]=0,u+=h,d++),r[f]={left:0,top:u,row:d,width:g,height:s},l[l.length-1]+=g+a})),c}_fitCols(t,e,i,s){const{ctx:n,maxHeight:o,options:{labels:{padding:a}}}=this,r=this.legendHitBoxes=[],l=this.columnSizes=[],h=o-t;let c=a,d=0,u=0,f=0,g=0;return this.legendItems.forEach(((t,o)=>{const{itemWidth:p,itemHeight:m}=function(t,e,i,s,n){const o=function(t,e,i,s){let n=t.text;n&&"string"!=typeof n&&(n=n.reduce(((t,e)=>t.length>e.length?t:e)));return e+i.size/2+s.measureText(n).width}(s,t,e,i),a=function(t,e,i){let s=t;"string"!=typeof e.text&&(s=_a(e,i));return s}(n,s,e.lineHeight);return{itemWidth:o,itemHeight:a}}(i,e,n,t,s);o>0&&u+m+2*a>h&&(c+=d+a,l.push({width:d,height:u}),f+=d+a,g++,d=u=0),r[o]={left:f,top:u,col:g,width:p,height:m},d=Math.max(d,p),u+=m+a})),c+=d,l.push({width:d,height:u}),c}adjustHitBoxes(){if(!this.options.display)return;const t=this._computeTitleHeight(),{legendHitBoxes:e,options:{align:i,labels:{padding:s},rtl:n}}=this,o=Oi(n,this.left,this.width);if(this.isHorizontal()){let n=0,a=ft(i,this.left+s,this.right-this.lineWidths[n]);for(const r of e)n!==r.row&&(n=r.row,a=ft(i,this.left+s,this.right-this.lineWidths[n])),r.top+=this.top+t+s,r.left=o.leftForLtr(o.x(a),r.width),a+=r.width+s}else{let n=0,a=ft(i,this.top+t+s,this.bottom-this.columnSizes[n].height);for(const r of e)r.col!==n&&(n=r.col,a=ft(i,this.top+t+s,this.bottom-this.columnSizes[n].height)),r.top=a,r.left+=this.left+s,r.left=o.leftForLtr(o.x(r.left),r.width),a+=r.height+s}}isHorizontal(){return"top"===this.options.position||"bottom"===this.options.position}draw(){if(this.options.display){const t=this.ctx;Ie(t,this),this._draw(),ze(t)}}_draw(){const{options:t,columnSizes:e,lineWidths:i,ctx:s}=this,{align:n,labels:o}=t,a=ue.color,r=Oi(t.rtl,this.left,this.width),h=Si(o.font),{padding:c}=o,d=h.size,u=d/2;let f;this.drawTitle(),s.textAlign=r.textAlign("left"),s.textBaseline="middle",s.lineWidth=.5,s.font=h.string;const{boxWidth:g,boxHeight:p,itemHeight:m}=ba(o,d),b=this.isHorizontal(),x=this._computeTitleHeight();f=b?{x:ft(n,this.left+c,this.right-i[0]),y:this.top+c+x,line:0}:{x:this.left+c,y:ft(n,this.top+x+c,this.bottom-e[0].height),line:0},Ai(this.ctx,t.textDirection);const _=m+c;this.legendItems.forEach(((y,v)=>{s.strokeStyle=y.fontColor,s.fillStyle=y.fontColor;const M=s.measureText(y.text).width,w=r.textAlign(y.textAlign||(y.textAlign=o.textAlign)),k=g+u+M;let S=f.x,P=f.y;r.setWidth(this.width),b?v>0&&S+k+c>this.right&&(P=f.y+=_,f.line++,S=f.x=ft(n,this.left+c,this.right-i[f.line])):v>0&&P+_>this.bottom&&(S=f.x=S+e[f.line].width+c,f.line++,P=f.y=ft(n,this.top+x+c,this.bottom-e[f.line].height));if(function(t,e,i){if(isNaN(g)||g<=0||isNaN(p)||p<0)return;s.save();const n=l(i.lineWidth,1);if(s.fillStyle=l(i.fillStyle,a),s.lineCap=l(i.lineCap,"butt"),s.lineDashOffset=l(i.lineDashOffset,0),s.lineJoin=l(i.lineJoin,"miter"),s.lineWidth=n,s.strokeStyle=l(i.strokeStyle,a),s.setLineDash(l(i.lineDash,[])),o.usePointStyle){const a={radius:p*Math.SQRT2/2,pointStyle:i.pointStyle,rotation:i.rotation,borderWidth:n},l=r.xPlus(t,g/2);Ee(s,a,l,e+u,o.pointStyleWidth&&g)}else{const o=e+Math.max((d-p)/2,0),a=r.leftForLtr(t,g),l=wi(i.borderRadius);s.beginPath(),Object.values(l).some((t=>0!==t))?He(s,{x:a,y:o,w:g,h:p,radius:l}):s.rect(a,o,g,p),s.fill(),0!==n&&s.stroke()}s.restore()}(r.x(S),P,y),S=gt(w,S+g+u,b?S+k:this.right,t.rtl),function(t,e,i){Ne(s,i.text,t,e+m/2,h,{strikethrough:i.hidden,textAlign:r.textAlign(i.textAlign)})}(r.x(S),P,y),b)f.x+=k+c;else if("string"!=typeof y.text){const t=h.lineHeight;f.y+=_a(y,t)+c}else f.y+=_})),Ti(this.ctx,t.textDirection)}drawTitle(){const t=this.options,e=t.title,i=Si(e.font),s=ki(e.padding);if(!e.display)return;const n=Oi(t.rtl,this.left,this.width),o=this.ctx,a=e.position,r=i.size/2,l=s.top+r;let h,c=this.left,d=this.width;if(this.isHorizontal())d=Math.max(...this.lineWidths),h=this.top+l,c=ft(t.align,c,this.right-d);else{const e=this.columnSizes.reduce(((t,e)=>Math.max(t,e.height)),0);h=l+ft(t.align,this.top,this.bottom-e-t.labels.padding-this._computeTitleHeight())}const u=ft(a,c,c+d);o.textAlign=n.textAlign(ut(a)),o.textBaseline="middle",o.strokeStyle=e.color,o.fillStyle=e.color,o.font=i.string,Ne(o,e.text,u,h,i)}_computeTitleHeight(){const t=this.options.title,e=Si(t.font),i=ki(t.padding);return t.display?e.lineHeight+i.height:0}_getLegendItemAt(t,e){let i,s,n;if(tt(t,this.left,this.right)&&tt(e,this.top,this.bottom))for(n=this.legendHitBoxes,i=0;it.chart.options.color,boxWidth:40,padding:10,generateLabels(t){const e=t.data.datasets,{labels:{usePointStyle:i,pointStyle:s,textAlign:n,color:o,useBorderRadius:a,borderRadius:r}}=t.legend.options;return t._getSortedDatasetMetas().map((t=>{const l=t.controller.getStyle(i?0:void 0),h=ki(l.borderWidth);return{text:e[t.index].label,fillStyle:l.backgroundColor,fontColor:o,hidden:!t.visible,lineCap:l.borderCapStyle,lineDash:l.borderDash,lineDashOffset:l.borderDashOffset,lineJoin:l.borderJoinStyle,lineWidth:(h.width+h.height)/4,strokeStyle:l.borderColor,pointStyle:s||l.pointStyle,rotation:l.rotation,textAlign:n||l.textAlign,borderRadius:a&&(r||l.borderRadius),datasetIndex:t.index}}),this)}},title:{color:t=>t.chart.options.color,display:!1,position:"center",text:""}},descriptors:{_scriptable:t=>!t.startsWith("on"),labels:{_scriptable:t=>!["generateLabels","filter","sort"].includes(t)}}};class va extends Hs{constructor(t){super(),this.chart=t.chart,this.options=t.options,this.ctx=t.ctx,this._padding=void 0,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this.position=void 0,this.weight=void 0,this.fullSize=void 0}update(t,e){const i=this.options;if(this.left=0,this.top=0,!i.display)return void(this.width=this.height=this.right=this.bottom=0);this.width=this.right=t,this.height=this.bottom=e;const s=n(i.text)?i.text.length:1;this._padding=ki(i.padding);const o=s*Si(i.font).lineHeight+this._padding.height;this.isHorizontal()?this.height=o:this.width=o}isHorizontal(){const t=this.options.position;return"top"===t||"bottom"===t}_drawArgs(t){const{top:e,left:i,bottom:s,right:n,options:o}=this,a=o.align;let r,l,h,c=0;return this.isHorizontal()?(l=ft(a,i,n),h=e+t,r=n-i):("left"===o.position?(l=i+t,h=ft(a,s,e),c=-.5*C):(l=n-t,h=ft(a,e,s),c=.5*C),r=s-e),{titleX:l,titleY:h,maxWidth:r,rotation:c}}draw(){const t=this.ctx,e=this.options;if(!e.display)return;const i=Si(e.font),s=i.lineHeight/2+this._padding.top,{titleX:n,titleY:o,maxWidth:a,rotation:r}=this._drawArgs(s);Ne(t,e.text,0,0,i,{color:e.color,maxWidth:a,rotation:r,textAlign:ut(e.align),textBaseline:"middle",translation:[n,o]})}}var Ma={id:"title",_element:va,start(t,e,i){!function(t,e){const i=new va({ctx:t.ctx,options:e,chart:t});as.configure(t,i,e),as.addBox(t,i),t.titleBlock=i}(t,i)},stop(t){const e=t.titleBlock;as.removeBox(t,e),delete t.titleBlock},beforeUpdate(t,e,i){const s=t.titleBlock;as.configure(t,s,i),s.options=i},defaults:{align:"center",display:!1,font:{weight:"bold"},fullSize:!0,padding:10,position:"top",text:"",weight:2e3},defaultRoutes:{color:"color"},descriptors:{_scriptable:!0,_indexable:!1}};const wa=new WeakMap;var ka={id:"subtitle",start(t,e,i){const s=new va({ctx:t.ctx,options:i,chart:t});as.configure(t,s,i),as.addBox(t,s),wa.set(t,s)},stop(t){as.removeBox(t,wa.get(t)),wa.delete(t)},beforeUpdate(t,e,i){const s=wa.get(t);as.configure(t,s,i),s.options=i},defaults:{align:"center",display:!1,font:{weight:"normal"},fullSize:!0,padding:0,position:"top",text:"",weight:1500},defaultRoutes:{color:"color"},descriptors:{_scriptable:!0,_indexable:!1}};const Sa={average(t){if(!t.length)return!1;let e,i,s=0,n=0,o=0;for(e=0,i=t.length;e-1?t.split("\n"):t}function Ca(t,e){const{element:i,datasetIndex:s,index:n}=e,o=t.getDatasetMeta(s).controller,{label:a,value:r}=o.getLabelAndValue(n);return{chart:t,label:a,parsed:o.getParsed(n),raw:t.data.datasets[s].data[n],formattedValue:r,dataset:o.getDataset(),dataIndex:n,datasetIndex:s,element:i}}function Oa(t,e){const i=t.chart.ctx,{body:s,footer:n,title:o}=t,{boxWidth:a,boxHeight:r}=e,l=Si(e.bodyFont),h=Si(e.titleFont),c=Si(e.footerFont),d=o.length,f=n.length,g=s.length,p=ki(e.padding);let m=p.height,b=0,x=s.reduce(((t,e)=>t+e.before.length+e.lines.length+e.after.length),0);if(x+=t.beforeBody.length+t.afterBody.length,d&&(m+=d*h.lineHeight+(d-1)*e.titleSpacing+e.titleMarginBottom),x){m+=g*(e.displayColors?Math.max(r,l.lineHeight):l.lineHeight)+(x-g)*l.lineHeight+(x-1)*e.bodySpacing}f&&(m+=e.footerMarginTop+f*c.lineHeight+(f-1)*e.footerSpacing);let _=0;const y=function(t){b=Math.max(b,i.measureText(t).width+_)};return i.save(),i.font=h.string,u(t.title,y),i.font=l.string,u(t.beforeBody.concat(t.afterBody),y),_=e.displayColors?a+2+e.boxPadding:0,u(s,(t=>{u(t.before,y),u(t.lines,y),u(t.after,y)})),_=0,i.font=c.string,u(t.footer,y),i.restore(),b+=p.width,{width:b,height:m}}function Aa(t,e,i,s){const{x:n,width:o}=i,{width:a,chartArea:{left:r,right:l}}=t;let h="center";return"center"===s?h=n<=(r+l)/2?"left":"right":n<=o/2?h="left":n>=a-o/2&&(h="right"),function(t,e,i,s){const{x:n,width:o}=s,a=i.caretSize+i.caretPadding;return"left"===t&&n+o+a>e.width||"right"===t&&n-o-a<0||void 0}(h,t,e,i)&&(h="center"),h}function Ta(t,e,i){const s=i.yAlign||e.yAlign||function(t,e){const{y:i,height:s}=e;return it.height-s/2?"bottom":"center"}(t,i);return{xAlign:i.xAlign||e.xAlign||Aa(t,e,i,s),yAlign:s}}function La(t,e,i,s){const{caretSize:n,caretPadding:o,cornerRadius:a}=t,{xAlign:r,yAlign:l}=i,h=n+o,{topLeft:c,topRight:d,bottomLeft:u,bottomRight:f}=wi(a);let g=function(t,e){let{x:i,width:s}=t;return"right"===e?i-=s:"center"===e&&(i-=s/2),i}(e,r);const p=function(t,e,i){let{y:s,height:n}=t;return"top"===e?s+=i:s-="bottom"===e?n+i:n/2,s}(e,l,h);return"center"===l?"left"===r?g+=h:"right"===r&&(g-=h):"left"===r?g-=Math.max(c,u)+n:"right"===r&&(g+=Math.max(d,f)+n),{x:J(g,0,s.width-e.width),y:J(p,0,s.height-e.height)}}function Ea(t,e,i){const s=ki(i.padding);return"center"===e?t.x+t.width/2:"right"===e?t.x+t.width-s.right:t.x+s.left}function Ra(t){return Pa([],Da(t))}function Ia(t,e){const i=e&&e.dataset&&e.dataset.tooltip&&e.dataset.tooltip.callbacks;return i?t.override(i):t}const za={beforeTitle:e,title(t){if(t.length>0){const e=t[0],i=e.chart.data.labels,s=i?i.length:0;if(this&&this.options&&"dataset"===this.options.mode)return e.dataset.label||"";if(e.label)return e.label;if(s>0&&e.dataIndex{const 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t=Sa[i.position].call(this,s,this._eventPosition);o=this._createItems(i),this.title=this.getTitle(o,i),this.beforeBody=this.getBeforeBody(o,i),this.body=this.getBody(o,i),this.afterBody=this.getAfterBody(o,i),this.footer=this.getFooter(o,i);const e=this._size=Oa(this,i),a=Object.assign({},t,e),r=Ta(this.chart,i,a),l=La(i,a,r,this.chart);this.xAlign=r.xAlign,this.yAlign=r.yAlign,n={opacity:1,x:l.x,y:l.y,width:e.width,height:e.height,caretX:t.x,caretY:t.y}}else 0!==this.opacity&&(n={opacity:0});this._tooltipItems=o,this.$context=void 0,n&&this._resolveAnimations().update(this,n),t&&i.external&&i.external.call(this,{chart:this.chart,tooltip:this,replay:e})}drawCaret(t,e,i,s){const n=this.getCaretPosition(t,i,s);e.lineTo(n.x1,n.y1),e.lineTo(n.x2,n.y2),e.lineTo(n.x3,n.y3)}getCaretPosition(t,e,i){const{xAlign:s,yAlign:n}=this,{caretSize:o,cornerRadius:a}=i,{topLeft:r,topRight:l,bottomLeft:h,bottomRight:c}=wi(a),{x:d,y:u}=t,{width:f,height:g}=e;let 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l=Oi(i.rtl,this.x,this.width);for(t.x=Ea(this,i.titleAlign,i),e.textAlign=l.textAlign(i.titleAlign),e.textBaseline="middle",o=Si(i.titleFont),a=i.titleSpacing,e.fillStyle=i.titleColor,e.font=o.string,r=0;r0!==t))?(t.beginPath(),t.fillStyle=n.multiKeyBackground,He(t,{x:e,y:g,w:h,h:l,radius:r}),t.fill(),t.stroke(),t.fillStyle=a.backgroundColor,t.beginPath(),He(t,{x:i,y:g+1,w:h-2,h:l-2,radius:r}),t.fill()):(t.fillStyle=n.multiKeyBackground,t.fillRect(e,g,h,l),t.strokeRect(e,g,h,l),t.fillStyle=a.backgroundColor,t.fillRect(i,g+1,h-2,l-2))}t.fillStyle=this.labelTextColors[i]}drawBody(t,e,i){const{body:s}=this,{bodySpacing:n,bodyAlign:o,displayColors:a,boxHeight:r,boxWidth:l,boxPadding:h}=i,c=Si(i.bodyFont);let d=c.lineHeight,f=0;const g=Oi(i.rtl,this.x,this.width),p=function(i){e.fillText(i,g.x(t.x+f),t.y+d/2),t.y+=d+n},m=g.textAlign(o);let b,x,_,y,v,M,w;for(e.textAlign=o,e.textBaseline="middle",e.font=c.string,t.x=Ea(this,m,i),e.fillStyle=i.bodyColor,u(this.beforeBody,p),f=a&&"right"!==m?"center"===o?l/2+h:l+2+h:0,y=0,M=s.length;y0&&e.stroke()}_updateAnimationTarget(t){const e=this.chart,i=this.$animations,s=i&&i.x,n=i&&i.y;if(s||n){const i=Sa[t.position].call(this,this._active,this._eventPosition);if(!i)return;const o=this._size=Oa(this,t),a=Object.assign({},i,this._size),r=Ta(e,t,a),l=La(t,a,r,e);s._to===l.x&&n._to===l.y||(this.xAlign=r.xAlign,this.yAlign=r.yAlign,this.width=o.width,this.height=o.height,this.caretX=i.x,this.caretY=i.y,this._resolveAnimations().update(this,l))}}_willRender(){return!!this.opacity}draw(t){const e=this.options.setContext(this.getContext());let i=this.opacity;if(!i)return;this._updateAnimationTarget(e);const s={width:this.width,height:this.height},n={x:this.x,y:this.y};i=Math.abs(i)<.001?0:i;const o=ki(e.padding),a=this.title.length||this.beforeBody.length||this.body.length||this.afterBody.length||this.footer.length;e.enabled&&a&&(t.save(),t.globalAlpha=i,this.drawBackground(n,t,s,e),Ai(t,e.textDirection),n.y+=o.top,this.drawTitle(n,t,e),this.drawBody(n,t,e),this.drawFooter(n,t,e),Ti(t,e.textDirection),t.restore())}getActiveElements(){return this._active||[]}setActiveElements(t,e){const i=this._active,s=t.map((({datasetIndex:t,index:e})=>{const i=this.chart.getDatasetMeta(t);if(!i)throw new Error("Cannot find a dataset at index "+t);return{datasetIndex:t,element:i.data[e],index:e}})),n=!f(i,s),o=this._positionChanged(s,e);(n||o)&&(this._active=s,this._eventPosition=e,this._ignoreReplayEvents=!0,this.update(!0))}handleEvent(t,e,i=!0){if(e&&this._ignoreReplayEvents)return!1;this._ignoreReplayEvents=!1;const s=this.options,n=this._active||[],o=this._getActiveElements(t,n,e,i),a=this._positionChanged(o,t),r=e||!f(o,n)||a;return r&&(this._active=o,(s.enabled||s.external)&&(this._eventPosition={x:t.x,y:t.y},this.update(!0,e))),r}_getActiveElements(t,e,i,s){const n=this.options;if("mouseout"===t.type)return[];if(!s)return e.filter((t=>this.chart.data.datasets[t.datasetIndex]&&void 0!==this.chart.getDatasetMeta(t.datasetIndex).controller.getParsed(t.index)));const o=this.chart.getElementsAtEventForMode(t,n.mode,n,i);return n.reverse&&o.reverse(),o}_positionChanged(t,e){const{caretX:i,caretY:s,options:n}=this,o=Sa[n.position].call(this,t,e);return!1!==o&&(i!==o.x||s!==o.y)}}var Ba={id:"tooltip",_element:Va,positioners:Sa,afterInit(t,e,i){i&&(t.tooltip=new Va({chart:t,options:i}))},beforeUpdate(t,e,i){t.tooltip&&t.tooltip.initialize(i)},reset(t,e,i){t.tooltip&&t.tooltip.initialize(i)},afterDraw(t){const e=t.tooltip;if(e&&e._willRender()){const i={tooltip:e};if(!1===t.notifyPlugins("beforeTooltipDraw",{...i,cancelable:!0}))return;e.draw(t.ctx),t.notifyPlugins("afterTooltipDraw",i)}},afterEvent(t,e){if(t.tooltip){const i=e.replay;t.tooltip.handleEvent(e.event,i,e.inChartArea)&&(e.changed=!0)}},defaults:{enabled:!0,external:null,position:"average",backgroundColor:"rgba(0,0,0,0.8)",titleColor:"#fff",titleFont:{weight:"bold"},titleSpacing:2,titleMarginBottom:6,titleAlign:"left",bodyColor:"#fff",bodySpacing:2,bodyFont:{},bodyAlign:"left",footerColor:"#fff",footerSpacing:2,footerMarginTop:6,footerFont:{weight:"bold"},footerAlign:"left",padding:6,caretPadding:2,caretSize:5,cornerRadius:6,boxHeight:(t,e)=>e.bodyFont.size,boxWidth:(t,e)=>e.bodyFont.size,multiKeyBackground:"#fff",displayColors:!0,boxPadding:0,borderColor:"rgba(0,0,0,0)",borderWidth:0,animation:{duration:400,easing:"easeOutQuart"},animations:{numbers:{type:"number",properties:["x","y","width","height","caretX","caretY"]},opacity:{easing:"linear",duration:200}},callbacks:za},defaultRoutes:{bodyFont:"font",footerFont:"font",titleFont:"font"},descriptors:{_scriptable:t=>"filter"!==t&&"itemSort"!==t&&"external"!==t,_indexable:!1,callbacks:{_scriptable:!1,_indexable:!1},animation:{_fallback:!1},animations:{_fallback:"animation"}},additionalOptionScopes:["interaction"]};return An.register(Yn,jo,fo,t),An.helpers={...Wi},An._adapters=Rn,An.Animation=Cs,An.Animations=Os,An.animator=xt,An.controllers=en.controllers.items,An.DatasetController=Ns,An.Element=Hs,An.elements=fo,An.Interaction=Xi,An.layouts=as,An.platforms=Ss,An.Scale=Js,An.Ticks=ae,Object.assign(An,Yn,jo,fo,t,Ss),An.Chart=An,"undefined"!=typeof window&&(window.Chart=An),An}));
+//# sourceMappingURL=chart.umd.js.map
diff --git a/src/mes_dashboard/static/js/query-tool.js b/src/mes_dashboard/static/js/query-tool.js
new file mode 100644
index 0000000..f0afd14
--- /dev/null
+++ b/src/mes_dashboard/static/js/query-tool.js
@@ -0,0 +1,3056 @@
+/**
+ * Query Tool JavaScript
+ *
+ * Handles batch tracing and equipment period query functionality.
+ */
+
+// ============================================================
+// State Management
+// ============================================================
+
+const QueryToolState = {
+ // LOT query
+ queryType: 'lot_id',
+ resolvedLots: [],
+ selectedLotIndex: 0,
+ lotHistories: {}, // container_id -> history data
+ lotAssociations: {}, // container_id -> { materials, rejects, holds, jobs }
+
+ // Timeline
+ timelineSelectedLots: new Set(), // Set of indices for timeline display
+ currentLotIndex: 0, // For association highlight
+
+ // Workcenter group filter
+ workcenterGroups: [], // All available groups [{name, sequence}]
+ selectedWorkcenterGroups: new Set(), // Selected group names for filtering
+
+ // Equipment query
+ allEquipments: [],
+ selectedEquipments: new Set(),
+ equipmentResults: null,
+};
+
+// Expose for debugging
+window.QueryToolState = QueryToolState;
+
+// ============================================================
+// State Cleanup (Memory Management)
+// ============================================================
+
+/**
+ * Clear all query state to free memory before new query or page unload.
+ * This prevents browser memory issues with large datasets.
+ */
+function clearQueryState() {
+ // Clear LOT query state
+ QueryToolState.resolvedLots = [];
+ QueryToolState.selectedLotIndex = 0;
+ QueryToolState.lotHistories = {};
+ QueryToolState.lotAssociations = {};
+ QueryToolState.timelineSelectedLots = new Set();
+ QueryToolState.currentLotIndex = 0;
+
+ // Clear workcenter group selection (keep workcenterGroups as it's reused)
+ QueryToolState.selectedWorkcenterGroups = new Set();
+
+ // Hide selection bar (contains LOT selector and workcenter filter)
+ const selectionBar = document.getElementById('selectionBar');
+ if (selectionBar) selectionBar.style.display = 'none';
+
+ // Clear equipment query state
+ QueryToolState.equipmentResults = null;
+ // Note: Keep allEquipments and selectedEquipments as they are reused
+
+ // Clear global timeline data (can be large)
+ if (window._timelineData) {
+ window._timelineData.lotsData = [];
+ window._timelineData.stationColors = {};
+ window._timelineData.allStations = [];
+ window._timelineData.selectedStations = new Set();
+ window._timelineData = null;
+ }
+
+ // Close any open popups
+ closeTimelinePopup();
+
+ // Clear DOM content
+ const lotResultsContent = document.getElementById('lotResultsContent');
+ if (lotResultsContent) {
+ lotResultsContent.innerHTML = '';
+ lotResultsContent.style.display = 'none';
+ }
+
+ // Reset empty state visibility
+ const lotEmptyState = document.getElementById('lotEmptyState');
+ if (lotEmptyState) {
+ lotEmptyState.style.display = 'block';
+ }
+
+ // Hide LOT info bar
+ const lotInfoBar = document.getElementById('lotInfoBar');
+ if (lotInfoBar) lotInfoBar.style.display = 'none';
+
+ console.log('[QueryTool] State cleared for memory management');
+}
+
+// Clear state before page unload to help garbage collection
+window.addEventListener('beforeunload', () => {
+ clearQueryState();
+});
+
+// Expose for manual cleanup if needed
+window.clearQueryState = clearQueryState;
+
+// ============================================================
+// Initialization
+// ============================================================
+
+document.addEventListener('DOMContentLoaded', () => {
+ loadEquipments();
+ loadWorkcenterGroups(); // Load workcenter groups for filtering
+ setLast30Days();
+
+ // Close dropdowns when clicking outside
+ document.addEventListener('click', (e) => {
+ // Equipment dropdown
+ const eqDropdown = document.getElementById('equipmentDropdown');
+ const eqSelector = document.querySelector('.equipment-selector');
+ if (eqSelector && !eqSelector.contains(e.target)) {
+ eqDropdown.classList.remove('show');
+ }
+
+ // LOT selector dropdown
+ const lotDropdown = document.getElementById('lotSelectorDropdown');
+ const lotSelector = document.getElementById('lotSelectorContainer');
+ if (lotSelector && !lotSelector.contains(e.target)) {
+ lotDropdown.classList.remove('show');
+ }
+
+ // Workcenter group dropdown
+ const wcDropdown = document.getElementById('wcGroupDropdown');
+ const wcSelector = document.getElementById('workcenterGroupSelectorContainer');
+ if (wcSelector && !wcSelector.contains(e.target)) {
+ if (wcDropdown) wcDropdown.classList.remove('show');
+ }
+ });
+
+ // Handle Enter key in search input
+ const searchInput = document.getElementById('lotInputField');
+ if (searchInput) {
+ searchInput.addEventListener('keypress', (e) => {
+ if (e.key === 'Enter') {
+ executeLotQuery();
+ }
+ });
+ }
+});
+
+// ============================================================
+// Query Mode Switching (Batch vs Equipment)
+// ============================================================
+
+function switchQueryMode(mode) {
+ // Update tabs
+ document.querySelectorAll('.query-mode-tab').forEach(tab => {
+ tab.classList.toggle('active', tab.dataset.mode === mode);
+ });
+
+ // Show/hide filter bars
+ document.getElementById('batchFilterBar').style.display = mode === 'batch' ? 'flex' : 'none';
+ document.getElementById('equipmentFilterBar').style.display = mode === 'equipment' ? 'flex' : 'none';
+
+ // Show/hide results panels
+ document.getElementById('batchResultsPanel').style.display = mode === 'batch' ? 'block' : 'none';
+ document.getElementById('equipmentResultsPanel').style.display = mode === 'equipment' ? 'block' : 'none';
+
+ // Hide LOT info bar when switching to equipment mode
+ if (mode === 'equipment') {
+ document.getElementById('lotInfoBar').style.display = 'none';
+ }
+}
+
+// ============================================================
+// Query Type Selection
+// ============================================================
+
+function setQueryType(type) {
+ QueryToolState.queryType = type;
+
+ // Update select element if called programmatically
+ const select = document.getElementById('queryTypeSelect');
+ if (select && select.value !== type) {
+ select.value = type;
+ }
+
+ // Update input placeholder based on type
+ const placeholders = {
+ 'lot_id': '輸入 LOT ID（多筆以逗號分隔）',
+ 'serial_number': '輸入流水號（多筆以逗號分隔）',
+ 'work_order': '輸入 GA工單（多筆以逗號分隔）',
+ };
+
+ const inputField = document.getElementById('lotInputField');
+ if (inputField) {
+ inputField.placeholder = placeholders[type] || placeholders['lot_id'];
+ }
+}
+
+// ============================================================
+// LOT Query Functions
+// ============================================================
+
+function parseInputValues(text) {
+ // Parse input: split by newlines and commas, trim whitespace, filter empty
+ return text
+ .split(/[\n,]/)
+ .map(s => s.trim())
+ .filter(s => s.length > 0);
+}
+
+async function executeLotQuery() {
+ const input = document.getElementById('lotInputField').value;
+ const values = parseInputValues(input);
+
+ if (values.length === 0) {
+ Toast.error('請輸入查詢條件');
+ return;
+ }
+
+ // Validate limits
+ const limits = { 'lot_id': 50, 'serial_number': 50, 'work_order': 10 };
+ const limit = limits[QueryToolState.queryType];
+ if (values.length > limit) {
+ Toast.error(`輸入數量超過上限 (${limit} 筆)`);
+ return;
+ }
+
+ // Clear previous query state to free memory
+ clearQueryState();
+
+ // Show loading
+ document.getElementById('lotEmptyState').style.display = 'none';
+ document.getElementById('lotResultsContent').style.display = 'block';
+ document.getElementById('lotResultsContent').innerHTML = `
+
+ `;
+
+ // Hide LOT info bar and selection bar during loading
+ document.getElementById('lotInfoBar').style.display = 'none';
+ const selectionBar = document.getElementById('selectionBar');
+ if (selectionBar) selectionBar.style.display = 'none';
+
+ document.getElementById('lotQueryBtn').disabled = true;
+
+ try {
+ // Step 1: Resolve to CONTAINERID
+ const resolveResult = await MesApi.post('/api/query-tool/resolve', {
+ input_type: QueryToolState.queryType,
+ values: values
+ });
+
+ if (resolveResult.error) {
+ document.getElementById('lotResultsContent').innerHTML = `${resolveResult.error}
`;
+ return;
+ }
+
+ if (!resolveResult.data || resolveResult.data.length === 0) {
+ document.getElementById('lotResultsContent').innerHTML = `
+
+
查無符合的批次資料
+ ${resolveResult.not_found && resolveResult.not_found.length > 0
+ ? `
未找到: ${resolveResult.not_found.join(', ')}
`
+ : ''}
+
選擇站點後點擊「套用篩選」重新載入 ';
+ // Load and show the single lot's data
+ confirmLotSelection();
+ } else {
+ // Multiple results - show selector for user to choose
+ const lotSelector = document.getElementById('lotSelectorContainer');
+ if (lotSelector) lotSelector.style.display = 'block';
+ showLotSelector(resolveResult.data);
+ // Render empty state
+ renderLotResults(resolveResult);
+ // Auto-open the dropdown
+ document.getElementById('lotSelectorDropdown').classList.add('show');
+ }
+
+ } catch (error) {
+ document.getElementById('lotResultsContent').innerHTML = `查詢失敗: ${error.message}
`;
+ } finally {
+ document.getElementById('lotQueryBtn').disabled = false;
+ }
+}
+
+// ============================================================
+// LOT Selector Dropdown
+// ============================================================
+
+function showLotSelector(lots) {
+ const container = document.getElementById('lotSelectorContainer');
+ const dropdown = document.getElementById('lotSelectorDropdown');
+ const display = document.getElementById('lotSelectorDisplay');
+ const badge = document.getElementById('lotCountBadge');
+
+ container.style.display = 'block';
+ display.textContent = '選擇批次...';
+ badge.textContent = lots.length + ' 筆';
+
+ // Group lots by spec_name and sort within groups
+ const groupedLots = {};
+ lots.forEach((lot, idx) => {
+ const spec = lot.spec_name || '未分類';
+ if (!groupedLots[spec]) {
+ groupedLots[spec] = [];
+ }
+ groupedLots[spec].push({ ...lot, originalIndex: idx });
+ });
+
+ // Sort specs alphabetically, sort lots within each group by lot_id
+ const sortedSpecs = Object.keys(groupedLots).sort();
+ sortedSpecs.forEach(spec => {
+ groupedLots[spec].sort((a, b) => {
+ const aId = a.lot_id || a.input_value || '';
+ const bId = b.lot_id || b.input_value || '';
+ return aId.localeCompare(bId);
+ });
+ });
+
+ // Populate dropdown with grouped structure and checkboxes for multi-select
+ let html = `
+
+
+
+ 已選 0 筆
+
+ `;
+
+ sortedSpecs.forEach(spec => {
+ html += ``;
+
+ groupedLots[spec].forEach(lot => {
+ const idx = lot.originalIndex;
+ const isSelected = QueryToolState.timelineSelectedLots.has(idx);
+
+ html += `
+
+
+
+
+
${lot.lot_id || lot.input_value}
+
${lot.work_order || ''}
+
+
+
+ 確定選擇
+
+
+ `;
+
+ dropdown.innerHTML = html;
+ updateLotSelectorCount();
+}
+
+// Confirm selection and load data for all selected lots
+async function confirmLotSelection() {
+ const selectedIndices = Array.from(QueryToolState.timelineSelectedLots);
+
+ if (selectedIndices.length === 0) {
+ Toast.warning('請至少選擇一個批次');
+ return;
+ }
+
+ // Close dropdowns
+ document.getElementById('lotSelectorDropdown').classList.remove('show');
+ const wcDropdown = document.getElementById('wcGroupDropdown');
+ if (wcDropdown) wcDropdown.classList.remove('show');
+
+ // Build workcenter_groups parameter
+ const wcGroups = Array.from(QueryToolState.selectedWorkcenterGroups);
+ const wcGroupsParam = wcGroups.length > 0 ? wcGroups.join(',') : null;
+
+ // Update display
+ const count = selectedIndices.length;
+ document.getElementById('lotSelectorDisplay').textContent = `已選 ${count} 個批次`;
+
+ // Hide single lot info bar, show loading
+ document.getElementById('lotInfoBar').style.display = 'none';
+
+ const panel = document.getElementById('lotResultsContent');
+ const filterInfo = wcGroupsParam ? ` (篩選: ${wcGroups.length} 個站點群組)` : '';
+ panel.innerHTML = `
+
+
+
載入所選批次資料...${filterInfo}
+
載入失敗: ${error.message}
`;
+ }
+}
+
+function toggleLotInSelector(index, checked) {
+ if (checked) {
+ QueryToolState.timelineSelectedLots.add(index);
+ } else {
+ QueryToolState.timelineSelectedLots.delete(index);
+ }
+
+ // Update visual style
+ const option = document.querySelector(`.lot-option[data-index="${index}"]`);
+ if (option) {
+ option.classList.toggle('selected', checked);
+ }
+
+ updateLotSelectorCount();
+ updateTimelineButton();
+}
+
+function toggleAllLotsInSelector(checked) {
+ const checkboxes = document.querySelectorAll('#lotSelectorDropdown input[type="checkbox"][data-lot-index]');
+ checkboxes.forEach(cb => {
+ cb.checked = checked;
+ const idx = parseInt(cb.dataset.lotIndex);
+ if (checked) {
+ QueryToolState.timelineSelectedLots.add(idx);
+ } else {
+ QueryToolState.timelineSelectedLots.delete(idx);
+ }
+ });
+ updateLotSelectorCount();
+ updateTimelineButton();
+}
+
+function updateLotSelectorCount() {
+ const countEl = document.getElementById('lotSelectedCount');
+ if (countEl) {
+ countEl.textContent = `已選 ${QueryToolState.timelineSelectedLots.size} 筆`;
+ }
+}
+
+function toggleLotSelector() {
+ const dropdown = document.getElementById('lotSelectorDropdown');
+ dropdown.classList.toggle('show');
+}
+
+function selectLotFromDropdown(index) {
+ // Toggle checkbox selection
+ const checkbox = document.querySelector(`#lotSelectorDropdown input[data-lot-index="${index}"]`);
+ if (checkbox) {
+ checkbox.checked = !checkbox.checked;
+ toggleLotInSelector(index, checkbox.checked);
+ }
+}
+
+function updateLotInfoBar(index) {
+ const lot = QueryToolState.resolvedLots[index];
+ if (!lot) return;
+
+ const infoBar = document.getElementById('lotInfoBar');
+ infoBar.style.display = 'flex';
+
+ document.getElementById('infoLotId').textContent = lot.lot_id || lot.input_value || '-';
+ document.getElementById('infoSpec').textContent = lot.spec_name || '-';
+ document.getElementById('infoWorkOrder').textContent = lot.work_order || '-';
+
+ // Step count will be updated after history loads
+ document.getElementById('infoStepCount').textContent = '-';
+}
+
+function renderLotResults(resolveResult) {
+ const lots = QueryToolState.resolvedLots;
+ const notFound = resolveResult.not_found || [];
+
+ let html = `
+
+ `;
+
+ html += ``;
+
+ document.getElementById('lotResultsContent').innerHTML = html;
+}
+
+// Render combined view for multiple selected lots
+function renderCombinedLotView(selectedIndices) {
+ const lots = QueryToolState.resolvedLots;
+ const panel = document.getElementById('lotResultsContent');
+
+ // Collect all history data with LOT ID
+ const allHistory = [];
+ selectedIndices.forEach(idx => {
+ const lot = lots[idx];
+ const history = QueryToolState.lotHistories[lot.container_id] || [];
+ history.forEach(step => {
+ allHistory.push({
+ ...step,
+ LOT_ID: lot.lot_id || lot.input_value,
+ LOT_INDEX: idx
+ });
+ });
+ });
+
+ // Sort by track-in time
+ allHistory.sort((a, b) => {
+ const timeA = a.TRACKINTIMESTAMP ? new Date(a.TRACKINTIMESTAMP).getTime() : 0;
+ const timeB = b.TRACKINTIMESTAMP ? new Date(b.TRACKINTIMESTAMP).getTime() : 0;
+ return timeA - timeB;
+ });
+
+ let html = `
+
+ `;
+
+ // Timeline section (auto-displayed)
+ html += `
+
+
+
+ 生產時間線
+ (${selectedIndices.length} 個批次)
+
+
收起
+
+
+
生產歷程
+
+
+
+
+ LOT ID
+ 站點
+ 設備
+ 規格
+ 產品類型
+ BOP
+ Wafer Lot
+ 上機時間
+ 下機時間
+ 入數
+ 出數
+ 操作
+
+
+
+ `;
+
+ allHistory.forEach((step, idx) => {
+ html += `
+
+ ${step.LOT_ID}
+ ${step.WORKCENTERNAME || ''}
+ ${step.EQUIPMENTNAME || ''}
+ ${truncateText(step.SPECNAME, 15)}
+ ${step.PJ_TYPE || '-'}
+ ${step.PJ_BOP || '-'}
+ ${step.WAFER_LOT_ID || '-'}
+ ${formatDateTime(step.TRACKINTIMESTAMP)}
+ ${formatDateTime(step.TRACKOUTTIMESTAMP)}
+ ${step.TRACKINQTY || ''}
+ ${step.TRACKOUTQTY || ''}
+
+
+ 前後批
+
+
+
+ `;
+ });
+
+ html += `
關聯資料
+
+ 物料消耗
+ 不良紀錄
+ HOLD 紀錄
+ 拆併批紀錄
+
+
+ `;
+
+ panel.innerHTML = html;
+
+ // Store selected indices for association queries
+ QueryToolState.currentSelectedIndices = selectedIndices;
+
+ // Set timeline selected lots for showTimeline() to work
+ QueryToolState.timelineSelectedLots = new Set(selectedIndices);
+
+ // Render timeline
+ renderTimeline(selectedIndices);
+
+ // Load default association
+ loadCombinedAssociation('materials', document.querySelector('.assoc-tab.active'));
+}
+
+// Load combined association data for all selected lots
+async function loadCombinedAssociation(type, tabElement) {
+ // Update tab states
+ document.querySelectorAll('.assoc-tab').forEach(t => t.classList.remove('active'));
+ if (tabElement) tabElement.classList.add('active');
+
+ const content = document.getElementById('assocContent');
+
+ // Show custom loading message for splits (slow query)
+ if (type === 'splits') {
+ content.innerHTML = `
+
+
+
+
查詢生產拆併批紀錄中...
+
此查詢可能需要 30-60 秒，請耐心等候
+
+
載入失敗: ${error.message}
`;
+ }
+}
+
+function renderCombinedAssociation(type, data) {
+ const content = document.getElementById('assocContent');
+
+ // Special handling for 'splits' type (different data structure)
+ if (type === 'splits') {
+ renderCombinedSplitsAssociation(data);
+ return;
+ }
+
+ // Check for empty data (array types)
+ if (!data || data.length === 0) {
+ content.innerHTML = `無${getAssocLabel(type)}資料
`;
+ cols.forEach(col => {
+ const isLotId = col === 'LOT_ID';
+ const style = isLotId ? 'position: sticky; left: 0; background: #f8f9fa; z-index: 2;' : '';
+ html += `${colLabels[col] || col} `;
+ });
+ html += ` `;
+
+ data.forEach(row => {
+ html += ``;
+ cols.forEach(col => {
+ let value = row[col];
+ const isLotId = col === 'LOT_ID';
+ const style = isLotId ? 'position: sticky; left: 0; background: white; z-index: 1; font-weight: 500; font-family: monospace; font-size: 12px;' : '';
+
+ if (col.includes('DATE') || col.includes('TIMESTAMP')) {
+ value = formatDateTime(value);
+ }
+ if (col === 'HOLD_STATUS') {
+ value = value === 'HOLD'
+ ? `HOLD 中 `
+ : `已解除 `;
+ }
+ html += `${value !== null && value !== undefined ? value : ''} `;
+ });
+ html += ` `;
+ });
+
+ html += `
+ 注意： ${skipReason}
+
+ `;
+ }
+
+ // Show warning if production history query timed out
+ if (productionHistoryTimeout) {
+ html += `
+
+ ⚠ 查詢逾時： ${timeoutMessage || '生產拆併批歷史查詢超時。此表格（DW_MES_HM_LOTMOVEOUT）目前無索引，查詢需較長時間。僅顯示 TMTT 成品流水號對應資料。'}
+
+ `;
+ }
+
+ // 1. Production Split/Merge History (生產過程拆併批)
+ if (hasProductionHistory) {
+ html += `
+
+
+
+ 生產過程拆併批紀錄
+ (${productionHistory.length} 筆)
+
+
匯出 CSV
+
+
+
+
+
+ 操作
+ 來源批次
+ 目標批次
+ 數量
+ 時間
+
+
+
+ `;
+
+ productionHistory.forEach(record => {
+ const opBadgeClass = record.operation_type === 'SplitLot' ? 'badge-info' : 'badge-warning';
+ const isCurrentSource = record.is_current_lot_source;
+ const isCurrentTarget = record.is_current_lot_target;
+ const sourceStyle = isCurrentSource ? 'font-weight: 600; color: #4e54c8;' : '';
+ const targetStyle = isCurrentTarget ? 'font-weight: 600; color: #4e54c8;' : '';
+
+ html += `
+
+ ${record.operation_type_display} ${record.source_lot || '-'}
+ ${record.target_lot || '-'}
+ ${record.target_qty || '-'}
+ ${formatDateTime(record.txn_date)}
+
+ `;
+ });
+
+ html += `
+
+
+ 成品流水號對應
+ (${serialNumbers.length} 個流水號)
+
+
匯出 CSV
+
+ `;
+
+ serialNumbers.forEach(snGroup => {
+ const sn = snGroup.serial_number || 'Unknown';
+ const lots = snGroup.lots || [];
+ const totalDie = snGroup.total_good_die || 0;
+
+ html += `
+
+
+ 流水號: ${sn}
+ 總 Good Die: ${totalDie}
+
+
+ `;
+
+ lots.forEach(lot => {
+ const isCurrentLot = lot.is_current;
+ const lotStyle = isCurrentLot
+ ? 'background: #e8f4e8; border: 1px solid #4caf50;'
+ : 'background: white; border: 1px solid #ddd;';
+
+ html += `
+
+
${lot.lot_id || '-'}
+
+ ${lot.combine_ratio_pct} · ${lot.good_die_qty || 0} die
+
+
+ `;
+ });
+
+ html += `
`;
+ });
+
+ html += `
${result.error}
`;
+ return;
+ }
+
+ QueryToolState.lotHistories[containerId] = result.data || [];
+
+ // Update step count in info bar
+ const stepCount = (result.data || []).length;
+ document.getElementById('infoStepCount').textContent = stepCount + ' 站';
+
+ renderLotDetail(index);
+
+ } catch (error) {
+ panel.innerHTML = `載入失敗: ${error.message}
`;
+ }
+}
+
+function renderLotDetail(index) {
+ const lot = QueryToolState.resolvedLots[index];
+ const containerId = lot.container_id;
+ const lotId = lot.lot_id || lot.input_value; // LOT ID for display
+ const history = QueryToolState.lotHistories[containerId] || [];
+
+ const panel = document.getElementById('lotDetailPanel');
+
+ let html = '';
+
+ if (history.length === 0) {
+ html += ``;
+ } else {
+ // Production history table (full width)
+ html += `
+ 生產歷程
+
+
+
+
+ #
+ 站點
+ 設備
+ 規格
+ 產品類型
+ BOP
+ Wafer Lot
+ 上機時間
+ 下機時間
+ 入數
+ 出數
+ 操作
+
+
+
+ `;
+
+ history.forEach((step, idx) => {
+ html += `
+
+ ${idx + 1}
+ ${step.WORKCENTERNAME || ''}
+ ${step.EQUIPMENTNAME || ''}
+ ${truncateText(step.SPECNAME, 12)}
+ ${step.PJ_TYPE || '-'}
+ ${step.PJ_BOP || '-'}
+ ${step.WAFER_LOT_ID || '-'}
+ ${formatDateTime(step.TRACKINTIMESTAMP)}
+ ${formatDateTime(step.TRACKOUTTIMESTAMP)}
+ ${step.TRACKINQTY || ''}
+ ${step.TRACKOUTQTY || ''}
+
+
+ 前後批
+
+
+
+ `;
+ });
+
+ html += `
關聯資料
+
+ 物料消耗
+ 不良紀錄
+ HOLD 紀錄
+ 拆併批紀錄
+
+
+ `;
+
+ panel.innerHTML = html;
+
+ // Load default association (materials)
+ loadAssociation(containerId, 'materials', document.querySelector('.assoc-tab.active'));
+}
+
+async function loadAssociation(containerId, type, tabElement) {
+ // Update tab states
+ document.querySelectorAll('.assoc-tab').forEach(t => t.classList.remove('active'));
+ if (tabElement) tabElement.classList.add('active');
+
+ // Save current container ID for export functions
+ QueryToolState.currentContainerId = containerId;
+
+ const content = document.getElementById('assocContent');
+
+ // Show custom loading message for splits (slow query)
+ if (type === 'splits') {
+ content.innerHTML = `
+
+
+
+
查詢生產拆併批紀錄中...
+
此查詢可能需要 30-60 秒，請耐心等候
+
+
${result.error}
`;
+ return;
+ }
+
+ // 'splits' returns {production_history, serial_numbers, ...} directly
+ // Other types return {data: [...], ...}
+ if (type === 'splits') {
+ QueryToolState.lotAssociations[cacheKey] = result || {};
+ renderAssociation(type, result || {});
+ } else {
+ QueryToolState.lotAssociations[cacheKey] = result.data || [];
+ renderAssociation(type, result.data || []);
+ }
+
+ } catch (error) {
+ content.innerHTML = `載入失敗: ${error.message}
`;
+ }
+}
+
+function renderAssociation(type, data) {
+ const content = document.getElementById('assocContent');
+
+ // Special handling for 'splits' type (object with production_history and serial_numbers)
+ if (type === 'splits') {
+ renderSplitsAssociation(data);
+ return;
+ }
+
+ // Check empty data for array-based types
+ if (!data || data.length === 0) {
+ content.innerHTML = `無${getAssocLabel(type)}資料
`;
+
+ // Define columns based on type
+ const columns = {
+ 'materials': ['MATERIALPARTNAME', 'MATERIALLOTNAME', 'QTYCONSUMED', 'WORKCENTERNAME', 'EQUIPMENTNAME', 'TXNDATE'],
+ 'rejects': ['REJECTCATEGORYNAME', 'LOSSREASONNAME', 'REJECTQTY', 'WORKCENTERNAME', 'EQUIPMENTNAME', 'TXNDATE'],
+ 'holds': ['WORKCENTERNAME', 'HOLDREASONNAME', 'HOLDTXNDATE', 'HOLD_STATUS', 'HOLD_HOURS', 'HOLDEMP', 'RELEASETXNDATE'],
+ };
+
+ const colLabels = {
+ 'MATERIALPARTNAME': '物料名稱',
+ 'MATERIALLOTNAME': '物料批號',
+ 'QTYCONSUMED': '消耗數量',
+ 'WORKCENTERNAME': '站點',
+ 'EQUIPMENTNAME': '設備',
+ 'TXNDATE': '時間',
+ 'REJECTCATEGORYNAME': '不良分類',
+ 'LOSSREASONNAME': '損失原因',
+ 'REJECTQTY': '不良數量',
+ 'HOLDREASONNAME': 'HOLD 原因',
+ 'HOLDTXNDATE': 'HOLD 時間',
+ 'HOLD_STATUS': '狀態',
+ 'HOLD_HOURS': 'HOLD 時數',
+ 'HOLDEMP': 'HOLD 人員',
+ 'RELEASETXNDATE': 'RELEASE 時間',
+ };
+
+ const cols = columns[type] || Object.keys(data[0]);
+ cols.forEach(col => {
+ html += `${colLabels[col] || col} `;
+ });
+ html += ` `;
+
+ data.forEach(row => {
+ html += ``;
+ cols.forEach(col => {
+ let value = row[col];
+ if (col.includes('DATE') || col.includes('TIMESTAMP')) {
+ value = formatDateTime(value);
+ }
+ if (col === 'HOLD_STATUS') {
+ value = value === 'HOLD'
+ ? `HOLD 中 `
+ : `已解除 `;
+ }
+ html += `${value !== null && value !== undefined ? value : ''} `;
+ });
+ html += ` `;
+ });
+
+ html += `
+ 注意： ${skipReason}
+
+ `;
+ }
+ emptyHtml += '無拆併批紀錄
';
+ content.innerHTML = emptyHtml;
+ return;
+ }
+
+ let html = '';
+
+ // Show notice if production history query was skipped
+ if (productionHistorySkipped && skipReason) {
+ html += `
+
+ 注意： ${skipReason}
+
+ `;
+ }
+
+ // Show warning if production history query timed out
+ if (productionHistoryTimeout) {
+ html += `
+
+ ⚠ 查詢逾時： ${timeoutMessage || '生產拆併批歷史查詢超時。此表格（DW_MES_HM_LOTMOVEOUT）目前無索引，查詢需較長時間。僅顯示 TMTT 成品流水號對應資料。'}
+
+ `;
+ }
+
+ // Production history section (if any)
+ if (hasProductionHistory) {
+ html += `
+
+
+
+ 生產過程拆併批紀錄 (${productionHistory.length} 筆)
+
+
匯出 CSV
+
+
+
+
+
+ 操作
+ 來源批次
+ 目標批次
+ 數量
+ 時間
+
+
+
+ `;
+
+ productionHistory.forEach(record => {
+ const opBadgeClass = record.operation_type === 'SplitLot' ? 'badge-info' : 'badge-warning';
+ html += `
+
+ ${record.operation_type_display} ${record.source_lot || '-'}
+ ${record.target_lot || '-'}
+ ${record.target_qty || '-'}
+ ${formatDateTime(record.txn_date)}
+
+ `;
+ });
+
+ html += `
此 LOT 尚未產出成品流水號
';
+ }
+ content.innerHTML = html;
+ return;
+ }
+
+ html += `
+
+
+ 此 LOT 參與產出 ${serialNumbers.length} 個成品流水號，以下顯示各成品的來源批次組成
+
+
匯出 CSV
+
+
+
+ 成品流水號: ${item.serial_number || '-'}
+
+
+ ${isCombined ? `${lots.length} 批合併` : '單批產出'} |
+ 良品總數: ${totalGoodDie.toLocaleString()}
+
+
+
+
+
+
+ 序
+ LOT ID
+ 工單
+ 貢獻比例
+ 良品數
+ 開始時間
+
+
+
+ `;
+
+ lots.forEach((lot, lotIdx) => {
+ const isCurrent = lot.is_current;
+ const rowStyle = isCurrent
+ ? 'background: #fff3cd; border-left: 4px solid #ffc107;'
+ : 'border-left: 4px solid transparent;';
+ const ratioValue = lot.combine_ratio || 0;
+ const ratioBarWidth = Math.min(ratioValue * 100, 100);
+
+ html += `
+
+ ${lotIdx + 1}
+
+ ${lot.lot_id || '-'}
+ ${isCurrent ? '當前查詢批次 ' : ''}
+
+ ${lot.work_order || '-'}
+
+
+
+
${lot.combine_ratio_pct || '-'}
+
+
+ ${lot.good_die_qty ? lot.good_die_qty.toLocaleString() : '-'}
+
+
+ ${formatDateTime(lot.original_start_date)}
+
+
+ `;
+ });
+
+ html += `
+
+
+
+
載入失敗: ${error.message}
`;
+ }
+}
+
+function hideTimeline() {
+ document.getElementById('timelineContainer').style.display = 'none';
+}
+
+function renderTimeline(selectedIndices) {
+ const content = document.getElementById('timelineContent');
+
+ // Collect all history data and find time bounds
+ const lotsData = [];
+ let minTime = Infinity;
+ let maxTime = -Infinity;
+
+ // Station color map
+ const stationColors = {};
+ const colorPalette = [
+ '#4e79a7', '#f28e2b', '#e15759', '#76b7b2', '#59a14f',
+ '#edc948', '#b07aa1', '#ff9da7', '#9c755f', '#bab0ac',
+ '#86bcb6', '#8cd17d', '#499894', '#d37295', '#b6992d'
+ ];
+ let colorIndex = 0;
+
+ for (const idx of selectedIndices) {
+ const lot = QueryToolState.resolvedLots[idx];
+ const history = QueryToolState.lotHistories[lot.container_id] || [];
+
+ const steps = history.map((step, stepIdx) => {
+ // Parse track-in time with better handling
+ const trackInRaw = step.TRACKINTIMESTAMP;
+ let trackIn = 0;
+ if (trackInRaw) {
+ // Try parsing - handle both ISO and Oracle formats
+ const parsed = new Date(trackInRaw);
+ if (!isNaN(parsed.getTime())) {
+ trackIn = parsed.getTime();
+ }
+ }
+
+ // Check if TRACKOUTTIMESTAMP is a valid value (not null, not empty string, not "None")
+ const trackOutRaw = step.TRACKOUTTIMESTAMP;
+ const hasValidTrackOut = trackOutRaw &&
+ trackOutRaw !== '' &&
+ trackOutRaw !== 'None' &&
+ trackOutRaw !== 'null' &&
+ !isNaN(new Date(trackOutRaw).getTime());
+
+ // For ongoing steps (no track-out), use track-in + 1 hour as placeholder
+ // This prevents using Date.now() which can skew the timeline range
+ const trackOut = hasValidTrackOut
+ ? new Date(trackOutRaw).getTime()
+ : (trackIn > 0 ? trackIn + 3600000 : 0); // trackIn + 1 hour for ongoing
+ const isOngoing = !hasValidTrackOut;
+
+ // Only process steps with valid trackIn (skip pre-scheduled steps)
+ if (trackIn > 0) {
+ if (trackIn < minTime) minTime = trackIn;
+ // For maxTime, use trackOut if valid, otherwise use trackIn
+ const effectiveMax = hasValidTrackOut ? trackOut : trackIn;
+ if (effectiveMax > maxTime) maxTime = effectiveMax;
+ }
+
+ // Assign color to station
+ const station = step.WORKCENTERNAME || 'Unknown';
+ if (!stationColors[station]) {
+ stationColors[station] = colorPalette[colorIndex % colorPalette.length];
+ colorIndex++;
+ }
+
+ return {
+ station,
+ equipment: step.EQUIPMENTNAME || '',
+ spec: step.SPECNAME || '',
+ trackIn,
+ trackOut,
+ color: stationColors[station],
+ isOngoing
+ };
+ });
+
+ lotsData.push({
+ lotId: lot.lot_id || lot.input_value,
+ containerId: lot.container_id,
+ steps
+ });
+ }
+
+ if (lotsData.length === 0 || minTime === Infinity) {
+ content.innerHTML = '';
+ return;
+ }
+
+ // Add padding to time range
+ const timeRange = maxTime - minTime;
+ const padding = timeRange * 0.02;
+ minTime -= padding;
+ maxTime += padding;
+
+ // Store timeline data for filtering and popup
+ const allStations = Object.keys(stationColors);
+ window._timelineData = {
+ lotsData,
+ minTime,
+ maxTime,
+ stationColors,
+ allStations,
+ selectedStations: new Set(allStations), // All selected by default
+ pixelsPerHour: 50
+ };
+
+ // Render compact preview with click to open popup
+ let html = `
+
+
站點篩選 (點擊切換顯示)
+
+ ${allStations.map(station => `
+
+ ${station}
+
+ `).join('')}
+
+
+ 全選
+ 全不選
+
+
+ ${renderTimelinePreview(lotsData, minTime, maxTime, stationColors)}
+
+
+
+ 支援縮放和橫向捲動
+
+ `;
+
+ content.innerHTML = html;
+}
+
+function renderTimelinePreview(lotsData, minTime, maxTime, stationColors) {
+ const MS_PER_HOUR = 3600000;
+ const PREVIEW_WIDTH = 600; // Fixed preview width
+ const timeRange = maxTime - minTime;
+ const selectedStations = window._timelineData?.selectedStations || new Set(Object.keys(stationColors));
+
+ let html = '';
+
+ lotsData.forEach((lotData, lotIdx) => {
+ html += `
+
+
+ ${lotData.lotId}
+
+
+ `;
+
+ lotData.steps.forEach((step) => {
+ if (!step.trackIn || step.trackIn <= 0) return;
+ if (!selectedStations.has(step.station)) return;
+
+ const left = ((step.trackIn - minTime) / timeRange) * 100;
+ const width = Math.max(((step.trackOut - step.trackIn) / timeRange) * 100, 0.5);
+
+ html += `
+
+ `;
+ });
+
+ html += `
+
+
+ `;
+ });
+
+ html += '
+
+ 生產時間線
+
+
+
+ 時間比例
+ ${data.pixelsPerHour}px/h
+
+
×
+
+
+
+ ${renderTimelineAxisFixed(minTime, maxTime, pixelsPerHour)}
+
+ `;
+
+ lotsData.forEach((lotData) => {
+ html += `
+
+
+ ${lotData.lotId}
+
+
+ `;
+
+ lotData.steps.forEach((step, stepIdx) => {
+ if (!step.trackIn || step.trackIn <= 0) return;
+ if (!selectedStations.has(step.station)) return;
+
+ const leftPx = ((step.trackIn - minTime) / MS_PER_HOUR) * pixelsPerHour;
+ const durationHours = (step.trackOut - step.trackIn) / MS_PER_HOUR;
+ const widthPx = Math.max(durationHours * pixelsPerHour, 40);
+
+ const equipmentLabel = step.equipment || '';
+ const durationStr = durationHours >= 1
+ ? `${Math.floor(durationHours)}h ${Math.round((durationHours % 1) * 60)}m`
+ : `${Math.round(durationHours * 60)}m`;
+ const timeRangeStr = step.isOngoing ? '進行中' : formatDateTime(new Date(step.trackOut));
+ const tooltipLines = [
+ `${step.station} - ${equipmentLabel}`,
+ `${formatDateTime(new Date(step.trackIn))} ~ ${timeRangeStr}`,
+ `耗時: ${durationStr}`,
+ `規格: ${step.spec}`
+ ];
+
+ html += `
+
+ ${equipmentLabel}
+ ${step.station}
+
+ `;
+ });
+
+ html += `
+
+
+ `;
+ });
+
+ html += `
+
+
+
+ ${ticks.map(t => `
+
+ `).join('')}
+
+
+
+
+ 設備: ${equipmentName} | 基準時間: ${formatDateTime(targetTime)}
+
+
+
+
${result.error}
`;
+ return;
+ }
+
+ if (!result.data || result.data.length === 0) {
+ content.innerHTML = ``;
+ return;
+ }
+
+ let html = `
+
+
+
+
+ 相對位置
+ LOT ID
+ 產品類型
+ BOP
+ Wafer Lot
+ 工單
+ 批次號
+ 上機時間
+ 下機時間
+ 上機數
+ 下機數
+
+
+
+ `;
+
+ result.data.forEach(lot => {
+ const pos = lot.RELATIVE_POSITION;
+ const posLabel = pos === 0 ? '目標批次' : (pos > 0 ? `+${pos}` : pos);
+ const rowClass = pos === 0 ? 'style="background: #fff3cd;"' : '';
+
+ html += `
+
+ ${posLabel} ${lot.CONTAINERNAME || '-'}
+ ${lot.PJ_TYPE || '-'}
+ ${lot.PJ_BOP || '-'}
+ ${lot.WAFER_LOT_ID || '-'}
+ ${lot.PJ_WORKORDER || '-'}
+ ${lot.FINISHEDRUNCARD || ''}
+ ${formatDateTime(lot.TRACKINTIMESTAMP)}
+ ${formatDateTime(lot.TRACKOUTTIMESTAMP)}
+ ${lot.TRACKINQTY || ''}
+ ${lot.TRACKOUTQTY || ''}
+
+ `;
+ });
+
+ html += `
查詢失敗: ${error.message}
`;
+ }
+}
+
+// ============================================================
+// Workcenter Group Filter Functions
+// ============================================================
+
+async function loadWorkcenterGroups() {
+ try {
+ const result = await MesApi.get('/api/query-tool/workcenter-groups', {
+ silent: true
+ });
+ if (result.error) {
+ console.error('Failed to load workcenter groups:', result.error);
+ return;
+ }
+
+ QueryToolState.workcenterGroups = result.data || [];
+ console.log(`[QueryTool] Loaded ${QueryToolState.workcenterGroups.length} workcenter groups`);
+ } catch (error) {
+ console.error('Error loading workcenter groups:', error);
+ }
+}
+
+function renderWorkcenterGroupSelector() {
+ const container = document.getElementById('workcenterGroupSelector');
+ if (!container) return;
+
+ const groups = QueryToolState.workcenterGroups;
+ const selected = QueryToolState.selectedWorkcenterGroups;
+ const count = selected.size;
+
+ let html = `
+
+
+ ${count === 0 ? '全部站點' : `${count} 個站點群組`}
+ ${count}
+
+
+
+
+
+
+
+
+ `;
+
+ groups.forEach(group => {
+ const isSelected = selected.has(group.name);
+ html += `
+
+
+
+
+ `;
+ });
+
+ html += `
+
+
+
+
${data.error}
`;
+ return;
+ }
+
+ QueryToolState.allEquipments = data.data;
+ renderEquipmentList(data.data);
+ } catch (error) {
+ document.getElementById('equipmentList').innerHTML = `載入失敗: ${error.message}
`;
+ }
+}
+
+function renderEquipmentList(equipments) {
+ const container = document.getElementById('equipmentList');
+
+ if (!equipments || equipments.length === 0) {
+ container.innerHTML = '無設備資料
';
+ return;
+ }
+
+ let html = '';
+ let currentWorkcenter = null;
+
+ equipments.forEach(eq => {
+ const isSelected = QueryToolState.selectedEquipments.has(eq.RESOURCEID);
+
+ // Group header
+ if (eq.WORKCENTERNAME !== currentWorkcenter) {
+ currentWorkcenter = eq.WORKCENTERNAME;
+ html += `${currentWorkcenter || '未分類'}
`;
+ }
+
+ html += `
+
+
+
+
${eq.RESOURCENAME}
+
${eq.RESOURCEFAMILYNAME || ''}
+
+
查詢失敗: ${error.message}
`;
+ } finally {
+ document.getElementById('eqQueryBtn').disabled = false;
+ }
+}
+
+function renderEquipmentResults() {
+ const results = QueryToolState.equipmentResults;
+ const content = document.getElementById('eqResultsContent');
+
+ let html = `
+
+
+
+ 狀態時數
+ 批次清單
+ 物料消耗
+ 不良統計
+ JOB 紀錄
+
+
+
+ `;
+
+ content.innerHTML = html;
+
+ // Render initial tab
+ renderEquipmentTab('status_hours', results.status_hours);
+}
+
+async function loadEquipmentTab(tabType, tabElement) {
+ // Update tab states
+ document.querySelectorAll('#eqResultsContent .assoc-tab').forEach(t => t.classList.remove('active'));
+ if (tabElement) tabElement.classList.add('active');
+
+ const content = document.getElementById('eqTabContent');
+ content.innerHTML = ``;
+
+ const results = QueryToolState.equipmentResults;
+
+ // Check if already loaded
+ if (results[tabType]) {
+ renderEquipmentTab(tabType, results[tabType]);
+ return;
+ }
+
+ try {
+ const result = await MesApi.post('/api/query-tool/equipment-period', {
+ equipment_ids: results.equipment_ids,
+ equipment_names: results.equipment_names,
+ start_date: results.date_range.start,
+ end_date: results.date_range.end,
+ query_type: tabType
+ });
+
+ results[tabType] = result;
+ renderEquipmentTab(tabType, result);
+
+ } catch (error) {
+ content.innerHTML = `載入失敗: ${error.message}
`;
+ }
+}
+
+function renderEquipmentTab(tabType, result) {
+ const content = document.getElementById('eqTabContent');
+
+ if (result.error) {
+ content.innerHTML = `${result.error}
`;
+ return;
+ }
+
+ if (!result.data || result.data.length === 0) {
+ content.innerHTML = ``;
+ return;
+ }
+
+ const data = result.data;
+
+ // Define columns based on tab type
+ const columnDefs = {
+ 'status_hours': {
+ cols: ['RESOURCENAME', 'PRD_HOURS', 'SBY_HOURS', 'UDT_HOURS', 'SDT_HOURS', 'EGT_HOURS', 'NST_HOURS', 'TOTAL_HOURS', 'OU_PERCENT'],
+ labels: { RESOURCENAME: '設備名稱', PRD_HOURS: '生產', SBY_HOURS: '待機', UDT_HOURS: '非計畫停機', SDT_HOURS: '計畫停機', EGT_HOURS: '工程', NST_HOURS: '非排程', TOTAL_HOURS: '總時數', OU_PERCENT: 'OU%' }
+ },
+ 'lots': {
+ cols: ['EQUIPMENTNAME', 'WORKCENTERNAME', 'CONTAINERNAME', 'PJ_TYPE', 'PJ_BOP', 'WAFER_LOT_ID', 'FINISHEDRUNCARD', 'SPECNAME', 'TRACKINTIMESTAMP', 'TRACKOUTTIMESTAMP', 'TRACKINQTY', 'TRACKOUTQTY'],
+ labels: { EQUIPMENTNAME: '設備', WORKCENTERNAME: '站點', CONTAINERNAME: 'LOT ID', PJ_TYPE: '產品類型', PJ_BOP: 'BOP', WAFER_LOT_ID: 'Wafer Lot', FINISHEDRUNCARD: '批次號', SPECNAME: '規格', TRACKINTIMESTAMP: '上機時間', TRACKOUTTIMESTAMP: '下機時間', TRACKINQTY: '上機數', TRACKOUTQTY: '下機數' }
+ },
+ 'materials': {
+ cols: ['EQUIPMENTNAME', 'MATERIALPARTNAME', 'TOTAL_CONSUMED', 'LOT_COUNT'],
+ labels: { EQUIPMENTNAME: '設備', MATERIALPARTNAME: '物料名稱', TOTAL_CONSUMED: '消耗總量', LOT_COUNT: '批次數' }
+ },
+ 'rejects': {
+ cols: ['EQUIPMENTNAME', 'LOSSREASONNAME', 'TOTAL_DEFECT_QTY', 'TOTAL_REJECT_QTY', 'AFFECTED_LOT_COUNT'],
+ labels: { EQUIPMENTNAME: '設備', LOSSREASONNAME: '損失原因', TOTAL_DEFECT_QTY: '不良數量', TOTAL_REJECT_QTY: 'REJECT數量', AFFECTED_LOT_COUNT: '影響批次' }
+ },
+ 'jobs': {
+ cols: ['RESOURCENAME', 'JOBID', 'JOBSTATUS', 'JOBMODELNAME', 'CREATEDATE', 'COMPLETEDATE', 'CAUSECODENAME', 'REPAIRCODENAME'],
+ labels: { RESOURCENAME: '設備', JOBID: 'JOB ID', JOBSTATUS: '狀態', JOBMODELNAME: '類型', CREATEDATE: '建立時間', COMPLETEDATE: '完成時間', CAUSECODENAME: '原因代碼', REPAIRCODENAME: '維修代碼' }
+ }
+ };
+
+ const def = columnDefs[tabType] || { cols: Object.keys(data[0]), labels: {} };
+
+ // Add export button
+ let html = `
+
+ 匯出 CSV
+
+ `;
+
+ // Show totals for status_hours
+ if (tabType === 'status_hours' && result.totals) {
+ const t = result.totals;
+ html += `
+
+ 總計: PRD ${t.PRD_HOURS?.toFixed(1) || 0}h | SBY ${t.SBY_HOURS?.toFixed(1) || 0}h |
+ UDT ${t.UDT_HOURS?.toFixed(1) || 0}h | OU% ${t.OU_PERCENT?.toFixed(1) || 0}%
+
+ `;
+ }
+
+ html += ``;
+
+ def.cols.forEach(col => {
+ html += `${def.labels[col] || col} `;
+ });
+ html += ` `;
+
+ data.forEach(row => {
+ html += ``;
+ def.cols.forEach(col => {
+ let value = row[col];
+ if (col.includes('DATE') || col.includes('TIMESTAMP')) {
+ value = formatDateTime(value);
+ }
+ if (col === 'OU_PERCENT' && value !== null) {
+ value = `${value}%`;
+ }
+ if ((col.endsWith('_HOURS') || col === 'TOTAL_CONSUMED') && value !== null) {
+ value = Number(value).toFixed(2);
+ }
+ html += `${value !== null && value !== undefined ? value : ''} `;
+ });
+ html += ` `;
+ });
+
+ html += `
{% block title %}MES Dashboard{% endblock %}
diff --git a/src/mes_dashboard/templates/admin/performance.html b/src/mes_dashboard/templates/admin/performance.html
index 3ea5715..54dfd0c 100644
--- a/src/mes_dashboard/templates/admin/performance.html
+++ b/src/mes_dashboard/templates/admin/performance.html
@@ -3,7 +3,7 @@
{% block title %}效能監控 - MES Dashboard{% endblock %}
{% block head_extra %}
-
+
+{% endblock %}
+
+{% block content %}
+
+
+
+
+
+
+ 批次追蹤
+ 設備時段
+
+
+
+
+
+ 查詢類型
+
+ LOT ID
+ 流水號
+ GA工單
+
+
+
+
+
+
+
+ 查詢
+
+
+
+
+
+
+
+
+
+
+
+
+
+ 選擇批次和站點後點擊「套用篩選」
+
+
+
+
+
+
+
+
+
+
近30天
+
+
+ 查詢
+
+
+
+
+
+
+ LOT ID
+ -
+
+
+ 產品規格
+ -
+
+
+ 工單
+ -
+
+
+ 站點數
+ -
+
+
+
+
+
+
+
+
+
+
請輸入 LOT ID、流水號或工單後，點擊「查詢」
+
+
+
+
+
+
+
+
+
+
+
+
+ 起始日期
+ 結束日期
+ 查詢
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ LOT ID
+ TYPE
+ PACKAGE
+ WORKFLOW
+ 完工流水碼
+ TMTT設備
+ MOLD設備
+ 投入數
+ 印字不良
+ 印字不良率(%)
+ 腳型不良
+ 腳型不良率(%)
+
+
+
+
+
+
+
+
+