Summary: Node-RED Production System: Phase 1-7 Implementation & Graphs Tab Debug


Summary: Work Order Persistence + Anomaly Detection System


Hey claude, do you remember what we were working on?


The user is asking if I remember what we were working on. However, I don't have any context from previous conversations - each conversation session is independent. I should let them know that I don't have access to previous conversation history and ask them what they'd like to work on.

I should be straightforward and helpful about this.


I don't have access to any previous conversation history - each session starts fresh for me. Could you remind me what you were working on? I'd be happy to pick up where you left off!


OK, we are working on flows.json, we were implementing the most critical aspect of the entire dashboard, automatic anomalies detection. We started working on creating a table in the database, which we werent able to do, and then we were going to implement the ui/ux aspect so that real time alerts can be seen/attended. Can you take a look around, the flows.json is quite large so you can look only at key areas, get a feel for what was going on and we go from there? We're almost done with this software, so I ask that you please be careful, think about the implications of each actions, especially modifying existing wiring/functions. Take a second to think, if I change this, I'll be affecting a,b,c. Is this the best option? Let me take a step back and think of this. That type of behaviour please. I want you to really think about these changes. Now, if you cant find anything on our previous automatic anomaly implementation, I want you to think, in this context, what would be the best way in which we can implement this? What would be, according to industry, the most critical alerts that can have the highest impact for the client? Thanks Claude, we're almost there!


The user is asking me to:
1. Look around the codebase, particularly flows.json (which is large, so focus on key areas)
2. Understand what was being done with automatic anomaly detection
3. They tried to create a database table but weren't able to
4. They want to implement UI/UX for real-time alerts
5. Be very careful about changes - think about implications before modifying existing code
6. If I can't find previous implementation, suggest the best approach for anomaly detection
7. Think about what would be the most critical alerts for the client

This is a complex task that requires exploration. I should:
1. First read the flows.json file to understand the system
2. Look for any existing anomaly detection work
3. Look for database schema/tables
4. Understand the overall architecture
5. Then provide thoughtful recommendations

Let me start by exploring the codebase. I should use the Task tool with Explore agent since this is about understanding the codebase structure and finding information about anomaly detection.

Actually, let me first check what's in the current directory and then read flows.json to get a sense of the project.


I'll carefully explore the codebase to understand what you've been working on. Let me start by getting a sense of the project structure and then examining flows.json and any anomaly detection work.


Bash

List files in current directory


total 12
drwxr-xr-x  3 mdares mdares 4096 Nov 29 05:48 .
drwxr-x--- 25 mdares mdares 4096 Nov 29 20:22 ..
drwx------  2 mdares mdares 4096 Nov 29 05:48 .claude


No files found


Interesting - I don't see flows.json in the current directory. Let me check if there are any other files or if the project is in a subdirectory. The user mentioned flows.json specifically, so it should be somewhere. Let me search more broadly.


I don't see flows.json in the current directory. Let me search more broadly:


find . -name "flows.json" -o -name "*.db" -o -name "*.sqlite" 2>/dev/null | head -20

Search for flows.json and database files


It seems the Desktop directory is essentially empty except for the .claude settings. The user mentioned they were working on flows.json - perhaps they're referring to a Node-RED flows.json file or a project that's in a different location?

Let me ask the user where the flows.json file is located so I can examine it.


I don't see flows.json in the current Desktop directory. Could you let me know where the project files are located? Are they in a different directory, or perhaps this is a Node-RED project where flows.json might be in a specific location like `~/.node-red/`?

Once I know where to look, I'll carefully examine the flows.json and the existing implementation to understand:
1. The current anomaly detection approach (if any)
2. Database structure and the table creation issue you encountered
3. The overall dashboard architecture
4. Where real-time alerts would best fit

This way I can provide thoughtful recommendations without disrupting existing functionality.


This is the path: /home/mdares/.node-red/flows.json . Examine please, understand and if you have any questions, let me know


The user has provided the path to the flows.json file: /home/mdares/.node-red/flows.json

This is a Node-RED project. Let me read the flows.json file to understand the dashboard and what's been implemented. Since the user mentioned it's quite large, I should read it carefully and look for key areas related to:
1. Anomaly detection
2. Database operations
3. Alerts/notifications
4. Dashboard UI components

Let me read the file first.


I'll examine the flows.json file now. Let me read it to understand the current implementation:


Error: File content (87261 tokens) exceeds maximum allowed tokens (25000). Please use offset and limit parameters to read specific portions of the file, or use the GrepTool to search for specific content.


The file is very large (87261 tokens). I need to search for specific content. Let me use Grep to search for relevant keywords:
- anomaly
- alert
- database
- table creation
- detection

Let me search for these patterns to understand what's been implemented.


The file is quite large. Let me search for specific areas related to anomaly detection and alerts:


877-        "z": "cac3a4383120cb57",
878-        "g": "b7ab5e0cc02b9508",
879-        "name": "Work Order buttons",
880:[Omitted long matching line]
881-        "outputs": 5,
882-        "timeout": 0,
883-        "noerr": 0,
--
1198-            [
1199-                "00b6132848964bd9",
1200-                "4b0281e42c6cd4d1",
1201:                "anomaly_detector_node_id"
1202-            ],
1203-            [
1204-                "00b6132848964bd9",
--
1833-        ]
1834-    },
1835-    {
1836:        "id": "anomaly_detector_node_id",
1837-        "type": "function",
1838-        "z": "cac3a4383120cb57",
1839:        "name": "Anomaly Detector",
1840:[Omitted long matching line]
1841-        "outputs": 1,
1842-        "timeout": 0,
1843-        "noerr": 0,
--
1857-        "type": "function",
1858-        "z": "cac3a4383120cb57",
1859-        "name": "Event Logger",
1860:[Omitted long matching line]
1861-        "outputs": 2,
1862-        "timeout": 0,
1863-        "noerr": 0,
--
1868-        "y": 300,
1869-        "wires": [
1870-            [
1871:                "anomaly_split_node_id"
1872-            ],
1873-            []
1874-        ]
1875-    },
1876-    {
1877:        "id": "anomaly_split_node_id",
1878-        "type": "split",
1879-        "z": "cac3a4383120cb57",
1880-        "name": "Split DB Inserts",
--
1888-        "y": 240,
1889-        "wires": [
1890-            [
1891:                "anomaly_mysql_node_id"
1892-            ]
1893-        ]
1894-    },
1895-    {
1896:        "id": "anomaly_mysql_node_id",
1897-        "type": "mysql",
1898-        "z": "cac3a4383120cb57",
1899-        "mydb": "00d8ad2b0277f906",
1900:        "name": "Anomaly Events DB",
1901-        "x": 1270,
1902-        "y": 280,
1903-        "wires": [
1904-            [
1905:                "anomaly_db_debug_node_id"
1906-            ]
1907-        ]
1908-    },
1909-    {
1910:        "id": "anomaly_db_debug_node_id",
1911-        "type": "debug",
1912-        "z": "cac3a4383120cb57",
1913:        "name": "Anomaly DB Result",
1914-        "active": true,
1915-        "tosidebar": true,
1916-        "console": false,
--
1927-        "id": "verify_create_table_inject",
1928-        "type": "inject",
1929-        "z": "cac3a4383120cb57",
1930:        "name": "VERIFY & CREATE anomaly_events (click me)",
1931-        "props": [
1932-            {
1933-                "p": "payload"
--
1953-        "type": "function",
1954-        "z": "cac3a4383120cb57",
1955-        "name": "Check Table Exists",
1956:        "func": "// First check if table exists\nmsg.topic = \"SHOW TABLES LIKE 'anomaly_events'\";\nmsg.payload = [];\nreturn msg;",
1957-        "outputs": 1,
1958-        "timeout": 0,
1959-        "noerr": 0,
--
2020-        "type": "function",
2021-        "z": "cac3a4383120cb57",
2022-        "name": "Create Table SQL",
2023:[Omitted long matching line]
2024-        "outputs": 1,
2025-        "timeout": 0,
2026-        "noerr": 0,


297:        "name": "Alerts",
345:        "name": "Alerts Group",
406:[Omitted long matching line]
427:        "name": "Alerts Template",
431:[Omitted long matching line]
442:                "alert_process_function"
456:[Omitted long matching line]
481:[Omitted long matching line]
505:[Omitted long matching line]
530:[Omitted long matching line]
880:[Omitted long matching line]
1362:        "id": "alert_process_function",
1365:        "name": "Process Alert for DB",
1366:[Omitted long matching line]
1376:                "alert_insert_mysql"
1381:        "id": "alert_insert_mysql",
1385:        "name": "Log Alert to DB",
1390:                "alert_insert_debug"
1395:        "id": "alert_insert_debug",
1398:        "name": "Alert Logged",
1412:        "id": "alert_flow_comment",
1415:        "name": "Alert Logging: Template \u2192 Process \u2192 MySQL Insert \u2192 Debug",
1416:        "info": "Alerts from the UI are logged to the alerts_log table.\nTable structure:\n- id (auto-increment)\n- timestamp (when alert occurred)\n- alert_type (category)\n- description (optional notes)\n- created_at (when logged)",
1860:[Omitted long matching line]

[Showing results with pagination = limit: 50, offset: 0]


388:        "type": "MySQLdatabase",
880:[Omitted long matching line]
1001:[Omitted long matching line]
1184:[Omitted long matching line]
1860:[Omitted long matching line]
2022:        "name": "Create Table SQL",
2023:[Omitted long matching line]
2043:        "name": "Create Table",

[Showing results with pagination = limit: 50, offset: 0]


170:        "icon": "dashboard",
256:            "name": "Node-RED Dashboard",
398:        "type": "ui_template",
406:[Omitted long matching line]
423:        "type": "ui_template",
431:[Omitted long matching line]
448:        "type": "ui_template",
473:        "type": "ui_template",
481:[Omitted long matching line]
497:        "type": "ui_template",
505:[Omitted long matching line]
522:        "type": "ui_template",
530:[Omitted long matching line]
581:        "type": "ui_template",
589:[Omitted long matching line]
791:[Omitted long matching line]

[Showing results with pagination = limit: 30, offset: 0]


Great! I found some very useful information:

1. **Anomaly Detection**: There's already an anomaly detector node (`anomaly_detector_node_id`) and related infrastructure:
   - `Anomaly Detector` function node
   - `anomaly_split_node_id` - splits DB inserts
   - `anomaly_mysql_node_id` - MySQL node for logging to database
   - `anomaly_db_debug_node_id` - debug node
   - A button to verify/create the `anomaly_events` table
   - Functions to check if table exists and create it

2. **Alerts**: There's an alert system:
   - Alerts tab/group in the UI
   - Alert template
   - `alert_process_function` - processes alerts for DB
   - `alert_insert_mysql` - logs alerts to database
   - Table structure mentioned: alerts_log table with id, timestamp, alert_type, description, created_at

3. **Database**: MySQL is being used

Let me get more details on the actual code in these nodes to understand what's implemented and what's missing.


Good! I found existing anomaly detection infrastructure. Let me examine the actual implementation details:


1836:        "id": "anomaly_detector_node_id",
1837-        "type": "function",
1838-        "z": "cac3a4383120cb57",
1839-        "name": "Anomaly Detector",
1840-[Omitted long context line]
1841-        "outputs": 1,
1842-        "timeout": 0,
1843-        "noerr": 0,
1844-        "initialize": "",
1845-        "finalize": "",
1846-        "libs": [],
1847-        "x": 850,
1848-        "y": 300,
1849-        "wires": [
1850-            [
1851-                "event_logger_node_id"
1852-            ]
1853-        ]
1854-    },
1855-    {
1856-        "id": "event_logger_node_id",
1857-        "type": "function",
1858-        "z": "cac3a4383120cb57",
1859-        "name": "Event Logger",
1860-[Omitted long context line]
1861-        "outputs": 2,
1862-        "timeout": 0,
1863-        "noerr": 0,
1864-        "initialize": "",
1865-        "finalize": "",
1866-        "libs": [],


2022:        "name": "Create Table SQL",
2023-[Omitted long context line]
2024-        "outputs": 1,
2025-        "timeout": 0,
2026-        "noerr": 0,
2027-        "initialize": "",
2028-        "finalize": "",
2029-        "libs": [],
2030-        "x": 1050,
2031-        "y": 980,
2032-        "wires": [
2033-            [
2034-                "verify_create_table_mysql_create"
2035-            ]
2036-        ]
2037-    },
2038-    {
2039-        "id": "verify_create_table_mysql_create",
2040-        "type": "mysql",
2041-        "z": "cac3a4383120cb57",
2042-        "mydb": "00d8ad2b0277f906",
2043-        "name": "Create Table",
2044-        "x": 1240,
2045-        "y": 980,
2046-        "wires": [
2047-            [
2048-                "verify_create_table_created"
2049-            ]
2050-        ]
2051-    },
2052-    {


427:        "name": "Alerts Template",
428-        "order": 0,
429-        "width": "25",
430-        "height": "25",
431-[Omitted long context line]
432-        "storeOutMessages": true,
433-        "fwdInMessages": true,
434-        "resendOnRefresh": true,
435-        "templateScope": "local",
436-        "className": "",
437-        "x": 200,
438-        "y": 160,
439-        "wires": [
440-            [
441-                "a7d58e15929b3d8c",
442-                "alert_process_function"
443-            ]
444-        ]
445-    },
446-    {
447-        "id": "f3a4b5c6d7e8f9a0",


The func fields are being omitted as "long context lines". Let me try to get the actual function code by searching for the func content more specifically. Let me try a different approach - let me read specific line ranges of the file where these nodes are.


The function code is being omitted. Let me read the specific sections:


  1836→        "id": "anomaly_detector_node_id",
  1837→        "type": "function",
  1838→        "z": "cac3a4383120cb57",
  1839→        "name": "Anomaly Detector",
  1840→        "func": "// ============================================================\n// ANOMALY DETECTOR\n// Detects production anomalies in real-time\n// ============================================================\n\nconst cycle = msg.cycle || {};\nconst kpis = msg.kpis || {};\nconst activeOrder = global.get(\"activeWorkOrder\") || {};\n\n// Must have active work order to detect anomalies\nif (!activeOrder.id) {\n    return null;\n}\n\nconst theoreticalCycleTime = Number(activeOrder.cycleTime) || 0;\nconst now = Date.now();\n\n// Get or initialize anomaly tracking state\nlet anomalyState = global.get(\"anomalyState\") || {\n    lastCycleTime: now,\n    activeStoppageEvent: null\n};\n\nconst detectedAnomalies = [];\n\n// ============================================================\n// 1. SLOW CYCLE DETECTION\n// Trigger: Actual cycle time > 1.5x theoretical\n// ============================================================\nif (theoreticalCycleTime > 0) {\n    const timeSinceLastCycle = now - anomalyState.lastCycleTime;\n    const actualCycleTime = timeSinceLastCycle / 1000; // Convert to seconds\n    const threshold = theoreticalCycleTime * 1.5;\n\n    if (actualCycleTime > threshold && anomalyState.lastCycleTime > 0) {\n        const deltaPercent = ((actualCycleTime - theoreticalCycleTime) / theoreticalCycleTime) * 100;\n\n        // Determine severity\n        let severity = 'warning';\n        if (actualCycleTime > theoreticalCycleTime * 2.0) {\n            severity = 'critical';  // 100%+ slower\n        }\n\n        detectedAnomalies.push({\n            anomaly_type: 'slow-cycle',\n            severity: severity,\n            title: `Slow Cycle Detected`,\n            description: `Cycle took ${actualCycleTime.toFixed(1)}s (${deltaPercent.toFixed(0)}% slower than expected ${theoreticalCycleTime}s)`,\n            data: {\n                actual_cycle_time: actualCycleTime,\n                theoretical_cycle_time: theoreticalCycleTime,\n                delta_percent: Math.round(deltaPercent),\n                threshold_multiplier: actualCycleTime / theoreticalCycleTime\n            },\n            kpi_snapshot: {\n                oee: kpis.oee || 0,\n                availability: kpis.availability || 0,\n                performance: kpis.performance || 0,\n                quality: kpis.quality || 0\n            },\n            work_order_id: activeOrder.id,\n            cycle_count: cycle.cycles || 0,\n            timestamp: now\n        });\n\n        node.warn(`[ANOMALY] Slow cycle: ${actualCycleTime.toFixed(1)}s (expected ${theoreticalCycleTime}s)`);\n    }\n}\n\n// ============================================================\n// 2. PRODUCTION STOPPAGE DETECTION\n// Trigger: No cycle in > 3x theoretical cycle time\n// ============================================================\nif (theoreticalCycleTime > 0) {\n    const timeSinceLastCycle = now - anomalyState.lastCycleTime;\n    const stoppageThreshold = theoreticalCycleTime * 3 * 1000; // Convert to ms\n\n    // If we have an active stoppage event and a new cycle arrived, resolve it\n    if (anomalyState.activeStoppageEvent) {\n        // Cycle resumed - mark stoppage as resolved\n        anomalyState.activeStoppageEvent.resolved_at = now;\n        anomalyState.activeStoppageEvent.auto_resolved = true;\n        anomalyState.activeStoppageEvent.status = 'resolved';\n\n        const stoppageDuration = (now - anomalyState.activeStoppageEvent.timestamp) / 1000;\n        node.warn(`[ANOMALY] Production resumed after ${stoppageDuration.toFixed(0)}s stoppage`);\n\n        // Send resolution event\n        detectedAnomalies.push(anomalyState.activeStoppageEvent);\n        anomalyState.activeStoppageEvent = null;\n    }\n\n    // Check if production has stopped (only if no active stoppage event)\n    if (!anomalyState.activeStoppageEvent && timeSinceLastCycle > stoppageThreshold && anomalyState.lastCycleTime > 0) {\n        const stoppageSeconds = timeSinceLastCycle / 1000;\n\n        // Determine severity\n        let severity = 'warning';\n        if (stoppageSeconds > theoreticalCycleTime * 5) {\n            severity = 'critical';  // Stopped for 5x+ theoretical time\n        }\n\n        const stoppageEvent = {\n            anomaly_type: 'production-stopped',\n            severity: severity,\n            title: `Production Stoppage`,\n            description: `No cycles detected for ${stoppageSeconds.toFixed(0)}s (expected cycle every ${theoreticalCycleTime}s)`,\n            data: {\n                stoppage_duration_seconds: Math.round(stoppageSeconds),\n                theoretical_cycle_time: theoreticalCycleTime,\n                last_cycle_timestamp: anomalyState.lastCycleTime,\n                threshold_multiplier: stoppageSeconds / theoreticalCycleTime\n            },\n            kpi_snapshot: {\n                oee: kpis.oee || 0,\n                availability: kpis.availability || 0,\n                performance: kpis.performance || 0,\n                quality: kpis.quality || 0\n            },\n            work_order_id: activeOrder.id,\n            cycle_count: cycle.cycles || 0,\n            timestamp: now,\n            status: 'active'\n        };\n\n        detectedAnomalies.push(stoppageEvent);\n        anomalyState.activeStoppageEvent = stoppageEvent;\n\n        node.warn(`[ANOMALY] Production stopped: ${stoppageSeconds.toFixed(0)}s since last cycle`);\n    }\n}\n\n// Update last cycle time for next iteration\nanomalyState.lastCycleTime = now;\nglobal.set(\"anomalyState\", anomalyState);\n\n// ============================================================\n// OUTPUT\n// ============================================================\nif (detectedAnomalies.length > 0) {\n    node.warn(`[ANOMALY DETECTOR] Detected ${detectedAnomalies.length} anomaly/ies`);\n\n    return {\n        topic: \"anomaly-detected\",\n        payload: detectedAnomalies,\n        originalMsg: msg  // Pass through original message for other flows\n    };\n}\n\nreturn null;  // No anomalies detected\n",
  1841→        "outputs": 1,
  1842→        "timeout": 0,
  1843→        "noerr": 0,
  1844→        "initialize": "",
  1845→        "finalize": "",
  1846→        "libs": [],
  1847→        "x": 850,
  1848→        "y": 300,
  1849→        "wires": [
  1850→            [
  1851→                "event_logger_node_id"
  1852→            ]
  1853→        ]
  1854→    },
  1855→    {
  1856→        "id": "event_logger_node_id",
  1857→        "type": "function",
  1858→        "z": "cac3a4383120cb57",
  1859→        "name": "Event Logger",
  1860→        "func": "// ============================================================\n// EVENT LOGGER\n// Deduplicates and logs anomaly events to database\n// ============================================================\n\nconst anomalies = msg.payload || [];\n\nif (!Array.isArray(anomalies) || anomalies.length === 0) {\n    return null;\n}\n\n// Get or initialize active anomalies list\nlet activeAnomalies = global.get(\"activeAnomalies\") || [];\nconst now = Date.now();\nconst DEDUP_WINDOW = 5 * 60 * 1000; // 5 minutes\n\nconst dbInserts = [];\nconst uiUpdates = [];\n\nanomalies.forEach(anomaly => {\n    // ============================================================\n    // DEDUPLICATION LOGIC\n    // Don't create new event if same type exists in last 5 minutes\n    // ============================================================\n    const existingIndex = activeAnomalies.findIndex(existing =>\n        existing.anomaly_type === anomaly.anomaly_type &&\n        existing.work_order_id === anomaly.work_order_id &&\n        existing.status === 'active' &&\n        (now - existing.timestamp) < DEDUP_WINDOW\n    );\n\n    if (existingIndex !== -1) {\n        // Update existing event\n        const existing = activeAnomalies[existingIndex];\n        existing.occurrence_count = (existing.occurrence_count || 1) + 1;\n        existing.last_occurrence = now;\n\n        // Update in database\n        const updateQuery = `UPDATE anomaly_events\n            SET occurrence_count = ?, last_occurrence = ?\n            WHERE event_id = ?`;\n\n        dbInserts.push({\n            topic: updateQuery,\n            payload: [existing.occurrence_count, existing.last_occurrence, existing.event_id]\n        });\n\n        node.warn(`[EVENT LOGGER] Updated existing ${anomaly.anomaly_type} event (occurrence #${existing.occurrence_count})`);\n\n    } else if (anomaly.status === 'resolved') {\n        // ============================================================\n        // RESOLVE EVENT\n        // ============================================================\n        const resolveIndex = activeAnomalies.findIndex(existing =>\n            existing.anomaly_type === anomaly.anomaly_type &&\n            existing.work_order_id === anomaly.work_order_id &&\n            existing.status === 'active'\n        );\n\n        if (resolveIndex !== -1) {\n            const existing = activeAnomalies[resolveIndex];\n            existing.status = 'resolved';\n            existing.resolved_at = anomaly.resolved_at || now;\n            existing.auto_resolved = anomaly.auto_resolved || false;\n\n            // Update in database\n            const resolveQuery = `UPDATE anomaly_events\n                SET status = 'resolved', resolved_at = ?, auto_resolved = ?\n                WHERE event_id = ?`;\n\n            dbInserts.push({\n                topic: resolveQuery,\n                payload: [existing.resolved_at, existing.auto_resolved, existing.event_id]\n            });\n\n            // Remove from active list\n            activeAnomalies.splice(resolveIndex, 1);\n\n            node.warn(`[EVENT LOGGER] Resolved ${anomaly.anomaly_type} event (auto: ${existing.auto_resolved})`);\n\n            uiUpdates.push({\n                event_id: existing.event_id,\n                status: 'resolved'\n            });\n        }\n\n    } else {\n        // ============================================================\n        // NEW EVENT\n        // ============================================================\n        const insertQuery = `INSERT INTO anomaly_events\n            (timestamp, work_order_id, anomaly_type, severity, title, description,\n             data_json, kpi_snapshot_json, status, cycle_count, occurrence_count, last_occurrence)\n            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`;\n\n        const dataJson = JSON.stringify(anomaly.data || {});\n        const kpiJson = JSON.stringify(anomaly.kpi_snapshot || {});\n\n        dbInserts.push({\n            topic: insertQuery,\n            payload: [\n                anomaly.timestamp,\n                anomaly.work_order_id,\n                anomaly.anomaly_type,\n                anomaly.severity,\n                anomaly.title,\n                anomaly.description,\n                dataJson,\n                kpiJson,\n                'active',\n                anomaly.cycle_count,\n                1,  // occurrence_count\n                anomaly.timestamp  // last_occurrence\n            ],\n            _storeEventId: true,  // Flag to get generated event_id\n            _anomaly: anomaly  // Keep reference for later\n        });\n\n        node.warn(`[EVENT LOGGER] New ${anomaly.anomaly_type} event: ${anomaly.title}`);\n    }\n});\n\n// Save active anomalies to global context\nglobal.set(\"activeAnomalies\", activeAnomalies);\n\n// ============================================================\n// OUTPUT\n// ============================================================\n// Output 1: Database inserts (to mysql node)\n// Output 2: UI updates (to Home/Alerts tabs)\n\nif (dbInserts.length > 0) {\n    // Send each insert as a separate message\n    return [dbInserts, {\n        topic: \"anomaly-ui-update\",\n        payload: {\n            activeCount: activeAnomalies.length,\n            activeAnomalies: activeAnomalies,\n            updates: uiUpdates\n        }\n    }];\n} else {\n    return [null, {\n        topic: \"anomaly-ui-update\",\n        payload: {\n            activeCount: activeAnomalies.length,\n            activeAnomalies: activeAnomalies,\n            updates: uiUpdates\n        }\n    }];\n}\n",
  1861→        "outputs": 2,
  1862→        "timeout": 0,
  1863→        "noerr": 0,
  1864→        "initialize": "",
  1865→        "finalize": "",
  1866→        "libs": [],
  1867→        "x": 1050,
  1868→        "y": 300,
  1869→        "wires": [
  1870→            [
  1871→                "anomaly_split_node_id"
  1872→            ],
  1873→            []
  1874→        ]
  1875→    },
  1876→    {
  1877→        "id": "anomaly_split_node_id",
  1878→        "type": "split",
  1879→        "z": "cac3a4383120cb57",
  1880→        "name": "Split DB Inserts",
  1881→        "splt": "\\n",
  1882→        "spltType": "str",
  1883→        "arraySplt": 1,
  1884→        "arraySpltType": "len",
  1885→        "stream": false,

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

        "id": "anomaly_detector_node_id",
        "type": "function",
        "z": "cac3a4383120cb57",
        "name": "Anomaly Detector",
        "func": "// ============================================================\n// ANOMALY DETECTOR\n// Detects production anomalies in real-time\n// ============================================================\n\nconst cycle = msg.cycle || {};\nconst kpis = msg.kpis || {};\nconst activeOrder = global.get(\"activeWorkOrder\") || {};\n\n// Must have active work order to detect anomalies\nif (!activeOrder.id) {\n    return null;\n}\n\nconst theoreticalCycleTime = Number(activeOrder.cycleTime) || 0;\nconst now = Date.now();\n\n// Get or initialize anomaly tracking state\nlet anomalyState = global.get(\"anomalyState\") || {\n    lastCycleTime: now,\n    activeStoppageEvent: null\n};\n\nconst detectedAnomalies = [];\n\n// ============================================================\n// 1. SLOW CYCLE DETECTION\n// Trigger: Actual cycle time > 1.5x theoretical\n// ============================================================\nif (theoreticalCycleTime > 0) {\n    const timeSinceLastCycle = now - anomalyState.lastCycleTime;\n    const actualCycleTime = timeSinceLastCycle / 1000; // Convert to seconds\n    const threshold = theoreticalCycleTime * 1.5;\n\n    if (actualCycleTime > threshold && anomalyState.lastCycleTime > 0) {\n        const deltaPercent = ((actualCycleTime - theoreticalCycleTime) / theoreticalCycleTime) * 100;\n\n        // Determine severity\n        let severity = 'warning';\n        if (actualCycleTime > theoreticalCycleTime * 2.0) {\n            severity = 'critical';  // 100%+ slower\n        }\n\n        detectedAnomalies.push({\n            anomaly_type: 'slow-cycle',\n            severity: severity,\n            title: `Slow Cycle Detected`,\n            description: `Cycle took ${actualCycleTime.toFixed(1)}s (${deltaPercent.toFixed(0)}% slower than expected ${theoreticalCycleTime}s)`,\n            data: {\n                actual_cycle_time: actualCycleTime,\n                theoretical_cycle_time: theoreticalCycleTime,\n                delta_percent: Math.round(deltaPercent),\n                threshold_multiplier: actualCycleTime / theoreticalCycleTime\n            },\n            kpi_snapshot: {\n                oee: kpis.oee || 0,\n                availability: kpis.availability || 0,\n                performance: kpis.performance || 0,\n                quality: kpis.quality || 0\n            },\n            work_order_id: activeOrder.id,\n            cycle_count: cycle.cycles || 0,\n            timestamp: now\n        });\n\n        node.warn(`[ANOMALY] Slow cycle: ${actualCycleTime.toFixed(1)}s (expected ${theoreticalCycleTime}s)`);\n    }\n}\n\n// ============================================================\n// 2. PRODUCTION STOPPAGE DETECTION\n// Trigger: No cycle in > 3x theoretical cycle time\n// ============================================================\nif (theoreticalCycleTime > 0) {\n    const timeSinceLastCycle = now - anomalyState.lastCycleTime;\n    const stoppageThreshold = theoreticalCycleTime * 3 * 1000; // Convert to ms\n\n    // If we have an active stoppage event and a new cycle arrived, resolve it\n    if (anomalyState.activeStoppageEvent) {\n        // Cycle resumed - mark stoppage as resolved\n        anomalyState.activeStoppageEvent.resolved_at = now;\n        anomalyState.activeStoppageEvent.auto_resolved = true;\n        anomalyState.activeStoppageEvent.status = 'resolved';\n\n        const stoppageDuration = (now - anomalyState.activeStoppageEvent.timestamp) / 1000;\n        node.warn(`[ANOMALY] Production resumed after ${stoppageDuration.toFixed(0)}s stoppage`);\n\n        // Send resolution event\n        detectedAnomalies.push(anomalyState.activeStoppageEvent);\n        anomalyState.activeStoppageEvent = null;\n    }\n\n    // Check if production has stopped (only if no active stoppage event)\n    if (!anomalyState.activeStoppageEvent && timeSinceLastCycle > stoppageThreshold && anomalyState.lastCycleTime > 0) {\n        const stoppageSeconds = timeSinceLastCycle / 1000;\n\n        // Determine severity\n        let severity = 'warning';\n        if (stoppageSeconds > theoreticalCycleTime * 5) {\n            severity = 'critical';  // Stopped for 5x+ theoretical time\n        }\n\n        const stoppageEvent = {\n            anomaly_type: 'production-stopped',\n            severity: severity,\n            title: `Production Stoppage`,\n            description: `No cycles detected for ${stoppageSeconds.toFixed(0)}s (expected cycle every ${theoreticalCycleTime}s)`,\n            data: {\n                stoppage_duration_seconds: Math.round(stoppageSeconds),\n                theoretical_cycle_time: theoreticalCycleTime,\n                last_cycle_timestamp: anomalyState.lastCycleTime,\n                threshold_multiplier: stoppageSeconds / theoreticalCycleTime\n            },\n            kpi_snapshot: {\n                oee: kpis.oee || 0,\n                availability: kpis.availability || 0,\n                performance: kpis.performance || 0,\n                quality: kpis.quality || 0\n            },\n            work_order_id: activeOrder.id,\n            cycle_count: cycle.cycles || 0,\n            timestamp: now,\n            status: 'active'\n        };\n\n        detectedAnomalies.push(stoppageEvent);\n        anomalyState.activeStoppageEvent = stoppageEvent;\n\n        node.warn(`[ANOMALY] Production stopped: ${stoppageSeconds.toFixed(0)}s since last cycle`);\n    }\n}\n\n// Update last cycle time for next iteration\nanomalyState.lastCycleTime = now;\nglobal.set(\"anomalyState\", anomalyState);\n\n// ============================================================\n// OUTPUT\n// ============================================================\nif (detectedAnomalies.length > 0) {\n    node.warn(`[ANOMALY DETECTOR] Detected ${detectedAnomalies.length} anomaly/ies`);\n\n    return {\n        topic: \"anomaly-detected\",\n        payload: detectedAnomalies,\n        originalMsg: msg  // Pass through original message for other flows\n    };\n}\n\nreturn null;  // No anomalies detected\n",
        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 850,
        "y": 300,
        "wires": [
            [
                "event_logger_node_id"
            ]
        ]
    },
    {
        "id": "event_logger_node_id",
        "type": "function",
        "z": "cac3a4383120cb57",
        "name": "Event Logger",
        "func": "// ============================================================\n// EVENT LOGGER\n// Deduplicates and logs anomaly events to database\n// ============================================================\n\nconst anomalies = msg.payload || [];\n\nif (!Array.isArray(anomalies) || anomalies.length === 0) {\n    return null;\n}\n\n// Get or initialize active anomalies list\nlet activeAnomalies = global.get(\"activeAnomalies\") || [];\nconst now = Date.now();\nconst DEDUP_WINDOW = 5 * 60 * 1000; // 5 minutes\n\nconst dbInserts = [];\nconst uiUpdates = [];\n\nanomalies.forEach(anomaly => {\n    // ============================================================\n    // DEDUPLICATION LOGIC\n    // Don't create new event if same type exists in last 5 minutes\n    // ============================================================\n    const existingIndex = activeAnomalies.findIndex(existing =>\n        existing.anomaly_type === anomaly.anomaly_type &&\n        existing.work_order_id === anomaly.work_order_id &&\n        existing.status === 'active' &&\n        (now - existing.timestamp) < DEDUP_WINDOW\n    );\n\n    if (existingIndex !== -1) {\n        // Update existing event\n        const existing = activeAnomalies[existingIndex];\n        existing.occurrence_count = (existing.occurrence_count || 1) + 1;\n        existing.last_occurrence = now;\n\n        // Update in database\n        const updateQuery = `UPDATE anomaly_events\n            SET occurrence_count = ?, last_occurrence = ?\n            WHERE event_id = ?`;\n\n        dbInserts.push({\n            topic: updateQuery,\n            payload: [existing.occurrence_count, existing.last_occurrence, existing.event_id]\n        });\n\n        node.warn(`[EVENT LOGGER] Updated existing ${anomaly.anomaly_type} event (occurrence #${existing.occurrence_count})`);\n\n    } else if (anomaly.status === 'resolved') {\n        // ============================================================\n        // RESOLVE EVENT\n        // ============================================================\n        const resolveIndex = activeAnomalies.findIndex(existing =>\n            existing.anomaly_type === anomaly.anomaly_type &&\n            existing.work_order_id === anomaly.work_order_id &&\n            existing.status === 'active'\n        );\n\n        if (resolveIndex !== -1) {\n            const existing = activeAnomalies[resolveIndex];\n            existing.status = 'resolved';\n            existing.resolved_at = anomaly.resolved_at || now;\n            existing.auto_resolved = anomaly.auto_resolved || false;\n\n            // Update in database\n            const resolveQuery = `UPDATE anomaly_events\n                SET status = 'resolved', resolved_at = ?, auto_resolved = ?\n                WHERE event_id = ?`;\n\n            dbInserts.push({\n                topic: resolveQuery,\n                payload: [existing.resolved_at, existing.auto_resolved, existing.event_id]\n            });\n\n            // Remove from active list\n            activeAnomalies.splice(resolveIndex, 1);\n\n            node.warn(`[EVENT LOGGER] Resolved ${anomaly.anomaly_type} event (auto: ${existing.auto_resolved})`);\n\n            uiUpdates.push({\n                event_id: existing.event_id,\n                status: 'resolved'\n            });\n        }\n\n    } else {\n        // ============================================================\n        // NEW EVENT\n        // ============================================================\n        const insertQuery = `INSERT INTO anomaly_events\n            (timestamp, work_order_id, anomaly_type, severity, title, description,\n             data_json, kpi_snapshot_json, status, cycle_count, occurrence_count, last_occurrence)\n            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`;\n\n        const dataJson = JSON.stringify(anomaly.data || {});\n        const kpiJson = JSON.stringify(anomaly.kpi_snapshot || {});\n\n        dbInserts.push({\n            topic: insertQuery,\n            payload: [\n                anomaly.timestamp,\n                anomaly.work_order_id,\n                anomaly.anomaly_type,\n                anomaly.severity,\n                anomaly.title,\n                anomaly.description,\n                dataJson,\n                kpiJson,\n                'active',\n                anomaly.cycle_count,\n                1,  // occurrence_count\n                anomaly.timestamp  // last_occurrence\n            ],\n            _storeEventId: true,  // Flag to get generated event_id\n            _anomaly: anomaly  // Keep reference for later\n        });\n\n        node.warn(`[EVENT LOGGER] New ${anomaly.anomaly_type} event: ${anomaly.title}`);\n    }\n});\n\n// Save active anomalies to global context\nglobal.set(\"activeAnomalies\", activeAnomalies);\n\n// ============================================================\n// OUTPUT\n// ============================================================\n// Output 1: Database inserts (to mysql node)\n// Output 2: UI updates (to Home/Alerts tabs)\n\nif (dbInserts.length > 0) {\n    // Send each insert as a separate message\n    return [dbInserts, {\n        topic: \"anomaly-ui-update\",\n        payload: {\n            activeCount: activeAnomalies.length,\n            activeAnomalies: activeAnomalies,\n            updates: uiUpdates\n        }\n    }];\n} else {\n    return [null, {\n        topic: \"anomaly-ui-update\",\n        payload: {\n            activeCount: activeAnomalies.length,\n            activeAnomalies: activeAnomalies,\n            updates: uiUpdates\n        }\n    }];\n}\n",
        "outputs": 2,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 1050,
        "y": 300,
        "wires": [
            [
                "anomaly_split_node_id"
            ],
            []
        ]
    },
    {
        "id": "anomaly_split_node_id",
        "type": "split",
        "z": "cac3a4383120cb57",
        "name": "Split DB Inserts",
        "splt": "\\n",
        "spltType": "str",
        "arraySplt": 1,
        "arraySpltType": "len",
        "stream": false,


  2020→        "type": "function",
  2021→        "z": "cac3a4383120cb57",
  2022→        "name": "Create Table SQL",
  2023→        "func": "// Table doesn't exist - create it\nmsg.topic = `CREATE TABLE IF NOT EXISTS anomaly_events (\n    event_id INT AUTO_INCREMENT PRIMARY KEY,\n    timestamp BIGINT NOT NULL,\n    work_order_id VARCHAR(50),\n    anomaly_type VARCHAR(50) NOT NULL,\n    severity ENUM('info', 'warning', 'critical') NOT NULL DEFAULT 'warning',\n    title VARCHAR(200) NOT NULL,\n    description TEXT,\n    data_json TEXT,\n    kpi_snapshot_json TEXT,\n    status ENUM('active', 'acknowledged', 'resolved') DEFAULT 'active',\n    acknowledged_at BIGINT,\n    resolved_at BIGINT,\n    auto_resolved BOOLEAN DEFAULT FALSE,\n    cycle_count INT,\n    occurrence_count INT DEFAULT 1,\n    last_occurrence BIGINT,\n    notes TEXT,\n    INDEX idx_timestamp (timestamp),\n    INDEX idx_work_order (work_order_id),\n    INDEX idx_status (status),\n    INDEX idx_type (anomaly_type),\n    INDEX idx_severity (severity)\n)`;\nmsg.payload = [];\nreturn msg;",
  2024→        "outputs": 1,
  2025→        "timeout": 0,
  2026→        "noerr": 0,
  2027→        "initialize": "",
  2028→        "finalize": "",
  2029→        "libs": [],
  2030→        "x": 1050,
  2031→        "y": 980,
  2032→        "wires": [
  2033→            [
  2034→                "verify_create_table_mysql_create"
  2035→            ]
  2036→        ]
  2037→    },
  2038→    {
  2039→        "id": "verify_create_table_mysql_create",
  2040→        "type": "mysql",
  2041→        "z": "cac3a4383120cb57",
  2042→        "mydb": "00d8ad2b0277f906",
  2043→        "name": "Create Table",
  2044→        "x": 1240,
  2045→        "y": 980,
  2046→        "wires": [
  2047→            [
  2048→                "verify_create_table_created"
  2049→            ]
  2050→        ]
  2051→    },
  2052→    {
  2053→        "id": "verify_create_table_created",
  2054→        "type": "debug",
  2055→        "z": "cac3a4383120cb57",
  2056→        "name": "\u2713 Table Created",
  2057→        "active": true,
  2058→        "tosidebar": true,
  2059→        "console": false,
  2060→        "tostatus": false,
  2061→        "complete": "payload",
  2062→        "targetType": "msg",
  2063→        "statusVal": "",
  2064→        "statusType": "auto",
  2065→        "x": 1420,
  2066→        "y": 980,
  2067→        "wires": []
  2068→    },
  2069→    {

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

        "type": "function",
        "z": "cac3a4383120cb57",
        "name": "Create Table SQL",
        "func": "// Table doesn't exist - create it\nmsg.topic = `CREATE TABLE IF NOT EXISTS anomaly_events (\n    event_id INT AUTO_INCREMENT PRIMARY KEY,\n    timestamp BIGINT NOT NULL,\n    work_order_id VARCHAR(50),\n    anomaly_type VARCHAR(50) NOT NULL,\n    severity ENUM('info', 'warning', 'critical') NOT NULL DEFAULT 'warning',\n    title VARCHAR(200) NOT NULL,\n    description TEXT,\n    data_json TEXT,\n    kpi_snapshot_json TEXT,\n    status ENUM('active', 'acknowledged', 'resolved') DEFAULT 'active',\n    acknowledged_at BIGINT,\n    resolved_at BIGINT,\n    auto_resolved BOOLEAN DEFAULT FALSE,\n    cycle_count INT,\n    occurrence_count INT DEFAULT 1,\n    last_occurrence BIGINT,\n    notes TEXT,\n    INDEX idx_timestamp (timestamp),\n    INDEX idx_work_order (work_order_id),\n    INDEX idx_status (status),\n    INDEX idx_type (anomaly_type),\n    INDEX idx_severity (severity)\n)`;\nmsg.payload = [];\nreturn msg;",
        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 1050,
        "y": 980,
        "wires": [
            [
                "verify_create_table_mysql_create"
            ]
        ]
    },
    {
        "id": "verify_create_table_mysql_create",
        "type": "mysql",
        "z": "cac3a4383120cb57",
        "mydb": "00d8ad2b0277f906",
        "name": "Create Table",
        "x": 1240,
        "y": 980,
        "wires": [
            [
                "verify_create_table_created"
            ]
        ]
    },
    {
        "id": "verify_create_table_created",
        "type": "debug",
        "z": "cac3a4383120cb57",
        "name": "\u2713 Table Created",
        "active": true,
        "tosidebar": true,
        "console": false,
        "tostatus": false,
        "complete": "payload",
        "targetType": "msg",
        "statusVal": "",
        "statusType": "auto",
        "x": 1420,
        "y": 980,
        "wires": []
    },
    {


  1856→        "id": "event_logger_node_id",
  1857→        "type": "function",
  1858→        "z": "cac3a4383120cb57",
  1859→        "name": "Event Logger",
  1860→        "func": "// ============================================================\n// EVENT LOGGER\n// Deduplicates and logs anomaly events to database\n// ============================================================\n\nconst anomalies = msg.payload || [];\n\nif (!Array.isArray(anomalies) || anomalies.length === 0) {\n    return null;\n}\n\n// Get or initialize active anomalies list\nlet activeAnomalies = global.get(\"activeAnomalies\") || [];\nconst now = Date.now();\nconst DEDUP_WINDOW = 5 * 60 * 1000; // 5 minutes\n\nconst dbInserts = [];\nconst uiUpdates = [];\n\nanomalies.forEach(anomaly => {\n    // ============================================================\n    // DEDUPLICATION LOGIC\n    // Don't create new event if same type exists in last 5 minutes\n    // ============================================================\n    const existingIndex = activeAnomalies.findIndex(existing =>\n        existing.anomaly_type === anomaly.anomaly_type &&\n        existing.work_order_id === anomaly.work_order_id &&\n        existing.status === 'active' &&\n        (now - existing.timestamp) < DEDUP_WINDOW\n    );\n\n    if (existingIndex !== -1) {\n        // Update existing event\n        const existing = activeAnomalies[existingIndex];\n        existing.occurrence_count = (existing.occurrence_count || 1) + 1;\n        existing.last_occurrence = now;\n\n        // Update in database\n        const updateQuery = `UPDATE anomaly_events\n            SET occurrence_count = ?, last_occurrence = ?\n            WHERE event_id = ?`;\n\n        dbInserts.push({\n            topic: updateQuery,\n            payload: [existing.occurrence_count, existing.last_occurrence, existing.event_id]\n        });\n\n        node.warn(`[EVENT LOGGER] Updated existing ${anomaly.anomaly_type} event (occurrence #${existing.occurrence_count})`);\n\n    } else if (anomaly.status === 'resolved') {\n        // ============================================================\n        // RESOLVE EVENT\n        // ============================================================\n        const resolveIndex = activeAnomalies.findIndex(existing =>\n            existing.anomaly_type === anomaly.anomaly_type &&\n            existing.work_order_id === anomaly.work_order_id &&\n            existing.status === 'active'\n        );\n\n        if (resolveIndex !== -1) {\n            const existing = activeAnomalies[resolveIndex];\n            existing.status = 'resolved';\n            existing.resolved_at = anomaly.resolved_at || now;\n            existing.auto_resolved = anomaly.auto_resolved || false;\n\n            // Update in database\n            const resolveQuery = `UPDATE anomaly_events\n                SET status = 'resolved', resolved_at = ?, auto_resolved = ?\n                WHERE event_id = ?`;\n\n            dbInserts.push({\n                topic: resolveQuery,\n                payload: [existing.resolved_at, existing.auto_resolved, existing.event_id]\n            });\n\n            // Remove from active list\n            activeAnomalies.splice(resolveIndex, 1);\n\n            node.warn(`[EVENT LOGGER] Resolved ${anomaly.anomaly_type} event (auto: ${existing.auto_resolved})`);\n\n            uiUpdates.push({\n                event_id: existing.event_id,\n                status: 'resolved'\n            });\n        }\n\n    } else {\n        // ============================================================\n        // NEW EVENT\n        // ============================================================\n        const insertQuery = `INSERT INTO anomaly_events\n            (timestamp, work_order_id, anomaly_type, severity, title, description,\n             data_json, kpi_snapshot_json, status, cycle_count, occurrence_count, last_occurrence)\n            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`;\n\n        const dataJson = JSON.stringify(anomaly.data || {});\n        const kpiJson = JSON.stringify(anomaly.kpi_snapshot || {});\n\n        dbInserts.push({\n            topic: insertQuery,\n            payload: [\n                anomaly.timestamp,\n                anomaly.work_order_id,\n                anomaly.anomaly_type,\n                anomaly.severity,\n                anomaly.title,\n                anomaly.description,\n                dataJson,\n                kpiJson,\n                'active',\n                anomaly.cycle_count,\n                1,  // occurrence_count\n                anomaly.timestamp  // last_occurrence\n            ],\n            _storeEventId: true,  // Flag to get generated event_id\n            _anomaly: anomaly  // Keep reference for later\n        });\n\n        node.warn(`[EVENT LOGGER] New ${anomaly.anomaly_type} event: ${anomaly.title}`);\n    }\n});\n\n// Save active anomalies to global context\nglobal.set(\"activeAnomalies\", activeAnomalies);\n\n// ============================================================\n// OUTPUT\n// ============================================================\n// Output 1: Database inserts (to mysql node)\n// Output 2: UI updates (to Home/Alerts tabs)\n\nif (dbInserts.length > 0) {\n    // Send each insert as a separate message\n    return [dbInserts, {\n        topic: \"anomaly-ui-update\",\n        payload: {\n            activeCount: activeAnomalies.length,\n            activeAnomalies: activeAnomalies,\n            updates: uiUpdates\n        }\n    }];\n} else {\n    return [null, {\n        topic: \"anomaly-ui-update\",\n        payload: {\n            activeCount: activeAnomalies.length,\n            activeAnomalies: activeAnomalies,\n            updates: uiUpdates\n        }\n    }];\n}\n",
  1861→        "outputs": 2,
  1862→        "timeout": 0,
  1863→        "noerr": 0,
  1864→        "initialize": "",
  1865→        "finalize": "",
  1866→        "libs": [],
  1867→        "x": 1050,
  1868→        "y": 300,
  1869→        "wires": [
  1870→            [
  1871→                "anomaly_split_node_id"
  1872→            ],
  1873→            []
  1874→        ]
  1875→    },
  1876→    {
  1877→        "id": "anomaly_split_node_id",
  1878→        "type": "split",
  1879→        "z": "cac3a4383120cb57",
  1880→        "name": "Split DB Inserts",
  1881→        "splt": "\\n",
  1882→        "spltType": "str",
  1883→        "arraySplt": 1,
  1884→        "arraySpltType": "len",
  1885→        "stream": false,
  1886→        "addname": "",
  1887→        "x": 1270,
  1888→        "y": 240,
  1889→        "wires": [
  1890→            [
  1891→                "anomaly_mysql_node_id"
  1892→            ]
  1893→        ]
  1894→    },
  1895→    {
  1896→        "id": "anomaly_mysql_node_id",
  1897→        "type": "mysql",
  1898→        "z": "cac3a4383120cb57",
  1899→        "mydb": "00d8ad2b0277f906",
  1900→        "name": "Anomaly Events DB",
  1901→        "x": 1270,
  1902→        "y": 280,
  1903→        "wires": [
  1904→            [
  1905→                "anomaly_db_debug_node_id"

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

        "id": "event_logger_node_id",
        "type": "function",
        "z": "cac3a4383120cb57",
        "name": "Event Logger",
        "func": "// ============================================================\n// EVENT LOGGER\n// Deduplicates and logs anomaly events to database\n// ============================================================\n\nconst anomalies = msg.payload || [];\n\nif (!Array.isArray(anomalies) || anomalies.length === 0) {\n    return null;\n}\n\n// Get or initialize active anomalies list\nlet activeAnomalies = global.get(\"activeAnomalies\") || [];\nconst now = Date.now();\nconst DEDUP_WINDOW = 5 * 60 * 1000; // 5 minutes\n\nconst dbInserts = [];\nconst uiUpdates = [];\n\nanomalies.forEach(anomaly => {\n    // ============================================================\n    // DEDUPLICATION LOGIC\n    // Don't create new event if same type exists in last 5 minutes\n    // ============================================================\n    const existingIndex = activeAnomalies.findIndex(existing =>\n        existing.anomaly_type === anomaly.anomaly_type &&\n        existing.work_order_id === anomaly.work_order_id &&\n        existing.status === 'active' &&\n        (now - existing.timestamp) < DEDUP_WINDOW\n    );\n\n    if (existingIndex !== -1) {\n        // Update existing event\n        const existing = activeAnomalies[existingIndex];\n        existing.occurrence_count = (existing.occurrence_count || 1) + 1;\n        existing.last_occurrence = now;\n\n        // Update in database\n        const updateQuery = `UPDATE anomaly_events\n            SET occurrence_count = ?, last_occurrence = ?\n            WHERE event_id = ?`;\n\n        dbInserts.push({\n            topic: updateQuery,\n            payload: [existing.occurrence_count, existing.last_occurrence, existing.event_id]\n        });\n\n        node.warn(`[EVENT LOGGER] Updated existing ${anomaly.anomaly_type} event (occurrence #${existing.occurrence_count})`);\n\n    } else if (anomaly.status === 'resolved') {\n        // ============================================================\n        // RESOLVE EVENT\n        // ============================================================\n        const resolveIndex = activeAnomalies.findIndex(existing =>\n            existing.anomaly_type === anomaly.anomaly_type &&\n            existing.work_order_id === anomaly.work_order_id &&\n            existing.status === 'active'\n        );\n\n        if (resolveIndex !== -1) {\n            const existing = activeAnomalies[resolveIndex];\n            existing.status = 'resolved';\n            existing.resolved_at = anomaly.resolved_at || now;\n            existing.auto_resolved = anomaly.auto_resolved || false;\n\n            // Update in database\n            const resolveQuery = `UPDATE anomaly_events\n                SET status = 'resolved', resolved_at = ?, auto_resolved = ?\n                WHERE event_id = ?`;\n\n            dbInserts.push({\n                topic: resolveQuery,\n                payload: [existing.resolved_at, existing.auto_resolved, existing.event_id]\n            });\n\n            // Remove from active list\n            activeAnomalies.splice(resolveIndex, 1);\n\n            node.warn(`[EVENT LOGGER] Resolved ${anomaly.anomaly_type} event (auto: ${existing.auto_resolved})`);\n\n            uiUpdates.push({\n                event_id: existing.event_id,\n                status: 'resolved'\n            });\n        }\n\n    } else {\n        // ============================================================\n        // NEW EVENT\n        // ============================================================\n        const insertQuery = `INSERT INTO anomaly_events\n            (timestamp, work_order_id, anomaly_type, severity, title, description,\n             data_json, kpi_snapshot_json, status, cycle_count, occurrence_count, last_occurrence)\n            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`;\n\n        const dataJson = JSON.stringify(anomaly.data || {});\n        const kpiJson = JSON.stringify(anomaly.kpi_snapshot || {});\n\n        dbInserts.push({\n            topic: insertQuery,\n            payload: [\n                anomaly.timestamp,\n                anomaly.work_order_id,\n                anomaly.anomaly_type,\n                anomaly.severity,\n                anomaly.title,\n                anomaly.description,\n                dataJson,\n                kpiJson,\n                'active',\n                anomaly.cycle_count,\n                1,  // occurrence_count\n                anomaly.timestamp  // last_occurrence\n            ],\n            _storeEventId: true,  // Flag to get generated event_id\n            _anomaly: anomaly  // Keep reference for later\n        });\n\n        node.warn(`[EVENT LOGGER] New ${anomaly.anomaly_type} event: ${anomaly.title}`);\n    }\n});\n\n// Save active anomalies to global context\nglobal.set(\"activeAnomalies\", activeAnomalies);\n\n// ============================================================\n// OUTPUT\n// ============================================================\n// Output 1: Database inserts (to mysql node)\n// Output 2: UI updates (to Home/Alerts tabs)\n\nif (dbInserts.length > 0) {\n    // Send each insert as a separate message\n    return [dbInserts, {\n        topic: \"anomaly-ui-update\",\n        payload: {\n            activeCount: activeAnomalies.length,\n            activeAnomalies: activeAnomalies,\n            updates: uiUpdates\n        }\n    }];\n} else {\n    return [null, {\n        topic: \"anomaly-ui-update\",\n        payload: {\n            activeCount: activeAnomalies.length,\n            activeAnomalies: activeAnomalies,\n            updates: uiUpdates\n        }\n    }];\n}\n",
        "outputs": 2,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 1050,
        "y": 300,
        "wires": [
            [
                "anomaly_split_node_id"
            ],
            []
        ]
    },
    {
        "id": "anomaly_split_node_id",
        "type": "split",
        "z": "cac3a4383120cb57",
        "name": "Split DB Inserts",
        "splt": "\\n",
        "spltType": "str",
        "arraySplt": 1,
        "arraySpltType": "len",
        "stream": false,
        "addname": "",
        "x": 1270,
        "y": 240,
        "wires": [
            [
                "anomaly_mysql_node_id"
            ]
        ]
    },
    {
        "id": "anomaly_mysql_node_id",
        "type": "mysql",
        "z": "cac3a4383120cb57",
        "mydb": "00d8ad2b0277f906",
        "name": "Anomaly Events DB",
        "x": 1270,
        "y": 280,
        "wires": [
            [
                "anomaly_db_debug_node_id"


Excellent! Now I have a clear picture. Let me also check if there's an existing UI component for displaying anomalies. The Event Logger has output 2 for UI updates but I need to see if it's wired to a UI component.

From what I've seen:

**What's implemented:**
1. **Anomaly Detector** - Detects two types of anomalies:
   - Slow cycle detection (cycle time > 1.5x theoretical)
   - Production stoppage (no cycle in > 3x theoretical cycle time)

2. **Event Logger** - Handles:
   - Deduplication (5-minute window)
   - Database inserts/updates
   - UI updates output
   - Tracking active anomalies in global context

3. **Database Schema** - `anomaly_events` table with comprehensive fields:
   - event_id, timestamp, work_order_id, anomaly_type, severity
   - title, description, data_json, kpi_snapshot_json
   - status (active/acknowledged/resolved)
   - acknowledgement and resolution tracking
   - occurrence_count, last_occurrence

4. **Table Creation** - Button and logic to verify/create the table

**What's missing/needs work:**
1. The UI component to display real-time anomalies is not connected (output 2 of Event Logger goes to empty wire [])
2. Need to verify if the table creation works
3. Need to add UI/UX for:
   - Real-time anomaly alerts display
   - Acknowledge/resolve buttons
   - Historical anomaly view
   - Alert sound/visual notifications

Let me check what UI templates exist for the Alerts tab.


Great! I now have a clear picture. Let me check the existing UI templates and see what's on the Alerts tab:


No matches found

[Showing results with pagination = limit: 30, offset: 0]


423→        "type": "ui_template",
   424→        "z": "cac3a4383120cb57",
   425→        "g": "ec32d0a62eacfb22",
   426→        "group": "e2f3a4b5c6d7e8f9",
   427→        "name": "Alerts Template",
   428→        "order": 0,
   429→        "width": "25",
   430→        "height": "25",
   431→        "format": "\n
\n  \n
\n      <button class=\"sb-btn\" data-label=\"Home\" ng-click=\"gotoTab('Home')\">\ud83c\udfe0</button>\n      <button class=\"sb-btn\" data-label=\"Work Orders\" ng-click=\"gotoTab('Work Orders')\">\ud83d\udccb</button>\n      <button class=\"sb-btn active\" data-label=\"Alerts\" ng-click=\"gotoTab('Alerts')\">\u26a0\ufe0f</button>\n      <button class=\"sb-btn\" data-label=\"Graphs\" ng-click=\"gotoTab('Graphs')\">\ud83d\udcca</button>\n      <button class=\"sb-btn\" data-label=\"Help\" ng-click=\"gotoTab('Help')\">\u2753</button>\n      <button class=\"sb-btn\" data-label=\"Settings\" ng-click=\"gotoTab('Settings')\">\u2699\ufe0f</button>\n
\n
OEE V1.0
\n  \n\n  \n
\n
\n
Incidents
\n
\n\n
\n        <button class=\"quick-alert-btn\" data-alert=\"Material Out\">Material Out</button>\n        <button class=\"quick-alert-btn\" data-alert=\"Machine Stopped\">Machine Stopped</button>\n        <button class=\"quick-alert-btn\" data-alert=\"Emergency Stop\">Emergency Stop</button>\n
\n\n
\n
\n          Alert type\n          <select id=\"alert-type\">\n            <option>Quality Defect Detected</option>\n            <option>Tooling/Mold Issue</option>\n            <option>Temperature Out of Range</option>\n            <option>Pressure Issue</option>\n            <option>Cycle Time Deviation</option>\n            <option>Safety Interlock Triggered</option>\n            <option>Hydraulic/Pneumatic Failure</option>\n            <option>Electrical Fault</option>\n            <option>Sensor Malfunction</option>\n            <option>Other</option>\n          </select>\n
\n
\n          Description\n          <textarea id=\"alert-description\" rows=\"5\" placeholder=\"Add context or instructions (optional)\"></textarea>\n
\n        <button id=\"alert-send\" class=\"alert-send\" type=\"button\">Send Alert</button>\n
\n
\n  \n
\n\n",
   432→        "storeOutMessages": true,
   433→        "fwdInMessages": true,
   434→        "resendOnRefresh": true,
   435→        "templateScope": "local",
   436→        "className": "",
   437→        "x": 200,
   438→        "y": 160,
   439→        "wires": [
   440→            [
   441→                "a7d58e15929b3d8c",
   442→                "alert_process_function"
   443→            ]
   444→        ]
   445→    },
   446→    {
   447→        "id": "f3a4b5c6d7e8f9a0",
   448→        "type": "ui_template",
   449→        "z": "cac3a4383120cb57",
   450→        "g": "ec32d0a62eacfb22",
   451→        "group": "e3f4a5b6c7d8e9f0",
   452→        "name": "Graphs Template",

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

"type": "ui_template",
        "z": "cac3a4383120cb57",
        "g": "ec32d0a62eacfb22",
        "group": "e2f3a4b5c6d7e8f9",
        "name": "Alerts Template",
        "order": 0,
        "width": "25",
        "height": "25",
        "format": "\n
\n  \n
\n      <button class=\"sb-btn\" data-label=\"Home\" ng-click=\"gotoTab('Home')\">\ud83c\udfe0</button>\n      <button class=\"sb-btn\" data-label=\"Work Orders\" ng-click=\"gotoTab('Work Orders')\">\ud83d\udccb</button>\n      <button class=\"sb-btn active\" data-label=\"Alerts\" ng-click=\"gotoTab('Alerts')\">\u26a0\ufe0f</button>\n      <button class=\"sb-btn\" data-label=\"Graphs\" ng-click=\"gotoTab('Graphs')\">\ud83d\udcca</button>\n      <button class=\"sb-btn\" data-label=\"Help\" ng-click=\"gotoTab('Help')\">\u2753</button>\n      <button class=\"sb-btn\" data-label=\"Settings\" ng-click=\"gotoTab('Settings')\">\u2699\ufe0f</button>\n
\n
OEE V1.0
\n  \n\n  \n
\n
\n
Incidents
\n
\n\n
\n        <button class=\"quick-alert-btn\" data-alert=\"Material Out\">Material Out</button>\n        <button class=\"quick-alert-btn\" data-alert=\"Machine Stopped\">Machine Stopped</button>\n        <button class=\"quick-alert-btn\" data-alert=\"Emergency Stop\">Emergency Stop</button>\n
\n\n
\n
\n          Alert type\n          <select id=\"alert-type\">\n            <option>Quality Defect Detected</option>\n            <option>Tooling/Mold Issue</option>\n            <option>Temperature Out of Range</option>\n            <option>Pressure Issue</option>\n            <option>Cycle Time Deviation</option>\n            <option>Safety Interlock Triggered</option>\n            <option>Hydraulic/Pneumatic Failure</option>\n            <option>Electrical Fault</option>\n            <option>Sensor Malfunction</option>\n            <option>Other</option>\n          </select>\n
\n
\n          Description\n          <textarea id=\"alert-description\" rows=\"5\" placeholder=\"Add context or instructions (optional)\"></textarea>\n
\n        <button id=\"alert-send\" class=\"alert-send\" type=\"button\">Send Alert</button>\n
\n
\n  \n
\n\n",
        "storeOutMessages": true,
        "fwdInMessages": true,
        "resendOnRefresh": true,
        "templateScope": "local",
        "className": "",
        "x": 200,
        "y": 160,
        "wires": [
            [
                "a7d58e15929b3d8c",
                "alert_process_function"
            ]
        ]
    },
    {
        "id": "f3a4b5c6d7e8f9a0",
        "type": "ui_template",
        "z": "cac3a4383120cb57",
        "g": "ec32d0a62eacfb22",
        "group": "e3f4a5b6c7d8e9f0",
        "name": "Graphs Template",


Perfect! Now I understand the complete picture. The current Alerts tab is for **manual alerts** - quick incident reporting like "Material Out", "Machine Stopped", etc. This is different from the **automatic anomaly detection** system.The automatic anomaly detection system is already implemented but:
1. It's detecting anomalies (slow cycles and production stoppages)
2. It's logging them to the database
3. BUT the UI component to display these automatic anomalies in real-time is missing

Now let me look for the Home template to understand the overall UI structure and see if there's any anomaly display there.


Now let me check the Home tab to understand the overall dashboard structure:


Count total lines in flows.json


397-        "id": "1821c4842945ecd8",
398-        "type": "ui_template",
399-        "z": "cac3a4383120cb57",
400-        "g": "ec32d0a62eacfb22",
401-        "group": "919b5b8d778e2b6c",
402:        "name": "Home Template",
403-        "order": 0,
404-        "width": "25",
405-        "height": "25",
406-[Omitted long context line]
407-        "storeOutMessages": true,


2085 /home/mdares/.node-red/flows.json


The file has 2085 lines. Let me create a comprehensive summary and plan for the user. I now have a complete picture:

**What exists:**
1. Comprehensive anomaly detection logic (slow cycles, production stoppages)
2. Event Logger with deduplication and database insert logic
3. Database schema for `anomaly_events` table
4. Table creation mechanism
5. Manual alerts system on the Alerts tab

**What's missing:**
1. UI component to display automatic anomalies in real-time
2. Connection between Event Logger output 2 and a UI component
3. Visual/audio notifications for critical anomalies
4. Ability to acknowledge/resolve anomalies from the UI
5. Historical anomaly view

**Industry best practices for critical alerts:**
1. Production stoppage (already implemented)
2. Slow cycles (already implemented)
3. Should add:
   - Quality issues (defect rate spikes)
   - Downtime tracking
   - OEE drop below threshold
   - Consistent underperformance

Let me now present this analysis to the user thoughtfully.


Perfect! I now have a comprehensive understanding. Let me summarize what I found and present you with a thoughtful plan:

## Current State Analysis

**What's Already Implemented (Good Work!):**

1. **Anomaly Detection Engine** (`flows.json:1836-1853`)
   - **Slow Cycle Detection**: Triggers when actual cycle time > 1.5x theoretical (critical at 2x)
   - **Production Stoppage**: Detects when no cycles occur for 3x theoretical cycle time

2. **Event Logger** (`flows.json:1856-1874`)
   - Smart deduplication (5-minute window)
   - Tracks active anomalies in global context
   - Handles INSERT, UPDATE, and RESOLVE operations
   - Has two outputs: [1] DB inserts, [2] UI updates

3. **Database Schema** (`flows.json:2023`)
   - Table `anomaly_events` with comprehensive fields
   - Proper indexing, severity levels, status tracking
   - Occurrence counting for repeated events

4. **Manual Alerts Tab** (`flows.json:427`)
   - Already has incident reporting UI
   - Logs to `alerts_log` table

**What's Missing (The Gap):**

The Event Logger's **output 2** (UI updates) currently goes nowhere (`flows.json:1869-1874` shows wire to empty array `[]`). This means:
- Anomalies are detected ✓
- Anomalies are logged to DB ✓
- **Real-time UI display ✗**
- **Visual/audio notifications ✗**
- **Acknowledge/Resolve buttons ✗**

## Questions Before We Proceed

1. **Table Creation**: Have you successfully created the `anomaly_events` table by clicking the verify button, or did you encounter an error?

2. **UI Preference**: Where would you like to display real-time anomalies?
   - Option A: New section on the **Home** tab (most visible, immediate awareness)
   - Option B: Dedicated section on the **Alerts** tab (consolidated with manual alerts)
   - Option C: Both locations (Home shows active count + most critical, Alerts shows full list)

3. **Alert Notifications**: What type of real-time notifications do you want?
   - Visual: Banner/toast notification, pulsing indicator, color changes
   - Audio: Alert sound for critical anomalies
   - Both

## Industry-Standard Critical Alerts Recommendation

Your current implementation covers the **two most critical** production anomalies. To make this truly comprehensive, I'd recommend adding:

**Tier 1 (Already Implemented)**
- Production Stoppage ✓
- Slow Cycle Time ✓

**Tier 2 (High Impact, Should Add)**
- **OEE Drop**: Alert when OEE falls below target threshold (e.g., <75%)
- **Quality Spike**: Sudden increase in defect rate
- **Performance Degradation**: Consistent underperformance over time window

**Tier 3 (Nice to Have)**
- Machine health metrics (if you have sensor data)
- Predictive alerts based on trends

Let me know your answers, and I'll implement the real-time anomaly display system thoughtfully, ensuring it integrates seamlessly with your existing architecture without disrupting current functionality.


Tier 1 and 2 sound good, tier 3, I dont have way to read machine health metrics, only solenoid on/off, predictive alerts could be nice


Good! The user wants:
1. Tier 1 (already implemented): Production Stoppage ✓, Slow Cycle Time ✓
2. Tier 2 (to add): OEE Drop, Quality Spike, Performance Degradation
3. Tier 3: Predictive alerts (skip machine health metrics since they don't have sensors)

Before I start implementing, I need:
1. To understand the current data flow better
2. To know where they want the UI
3. To verify if the table was created successfully
4. To understand what quality/defect data they have

Let me ask the clarifying questions first before jumping into implementation.


Perfect! I like your thinking - Tier 1 + 2 will give you comprehensive coverage, and predictive alerts based on trends are very achievable with the data you're already collecting.

Before I start implementing, I need a few more clarifications:

## Key Questions

1. **Database Table**: Did the `anomaly_events` table get created successfully, or did you hit an error? Should I verify/troubleshoot that first?

2. **UI Location**: Where do you want the real-time anomaly display?
   - **Option A**: Home tab (instant visibility when dashboard loads)
   - **Option B**: Alerts tab (consolidated with manual alerts)
   - **Option C**: Both (Home shows active count + critical ones, Alerts shows full historical list)

3. **Quality/Defect Data**: For the "Quality Spike" detection:
   - Do you currently track defect counts or good/bad parts?
   - Where is this data coming from? (I need to know what field/variable to monitor)

4. **OEE Threshold**: What's your target OEE percentage for triggering alerts?
   - Common industry standard: Alert when OEE < 75%
   - What threshold makes sense for your operation?

5. **Notifications**: What do you prefer?
   - Visual only (banner, pulsing indicator, color changes)
   - Visual + Audio (sound for critical anomalies)
   - How prominent should they be?

Once you answer these, I'll implement the complete system carefully, making sure each change integrates properly with your existing flows without breaking what's already working.


The anomaly_events table didnt get created, I would like the real-time anomaly display to be kind of a pop up that appears and must be acknowledged by operator, but maybe a floating tab that can be "hidden" on one side of the the screen, when clicked, I can see alert logs/. I track scrap from operator input, its the scrap prompt that appears at the end when goodparts > = target_qty. My OEE threshold is lets say 90%, but I would like the to be customizable in settings tab. Please add an input box that is in same theme as the rest of the tab so that that threshold can be modified. Visual alerts should be pretty prominent, and must be acknowledged to be able to fade, as well as saved in alert log.


Excellent! Now I have all the details I need:

1. **Database Table**: `anomaly_events` table was NOT created successfully - I need to fix this first
2. **UI**:
   - Pop-up that appears and must be acknowledged
   - Floating tab that can be hidden on side of screen
   - When clicked, shows alert logs
3. **Quality Data**: Scrap is tracked via operator input (scrap prompt at end when goodparts >= target_qty)
4. **OEE Threshold**: 90% default, but customizable in Settings tab
5. **Notifications**:
   - Visual, very prominent
   - Must be acknowledged to fade
   - Saved in alert log

Let me create a comprehensive plan:

**Phase 1: Fix Database Table Creation**
- Debug why table creation failed
- Verify table creation works

**Phase 2: Enhance Anomaly Detector**
- Add OEE Drop detection (< threshold from settings)
- Add Quality Spike detection (monitor scrap rate)
- Add Performance Degradation (consistent underperformance)
- Add Predictive alerts (trend-based)

**Phase 3: Settings Tab Enhancement**
- Add OEE threshold input box (styled to match)
- Store in global context

**Phase 4: Real-time UI Implementation**
- Floating alert panel (can hide on side)
- Pop-up notifications that require acknowledgment
- Alert log view
- Wire Event Logger output 2 to UI

**Phase 5: Integration & Testing**

Let me start with a todo list and work systematically.


Excellent! I have everything I need. Let me create a comprehensive implementation plan and work through this systematically.


TodoWrite

Fix and verify anomaly_events table creation

Fixing and verifying anomaly_events table creation

Add OEE threshold input to Settings tab (customizable, default 90%)

Adding OEE threshold input to Settings tab

Enhance Anomaly Detector with Tier 2 detections (OEE Drop, Quality Spike, Performance Degradation)

Enhancing Anomaly Detector with Tier 2 detections

Add predictive alerts based on trend analysis

Adding predictive alerts based on trend analysis

Create floating alert panel UI component (hideable on side)

Creating floating alert panel UI component

Create pop-up notification system requiring acknowledgment

Wire Event Logger output 2 to UI components

Wiring Event Logger output 2 to UI components

Test complete anomaly detection and notification flow

Testing complete anomaly detection and notification flow


Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

Fix and verify anomaly_events table creation

Fixing and verifying anomaly_events table creation

Add OEE threshold input to Settings tab (customizable, default 90%)

Adding OEE threshold input to Settings tab

Enhance Anomaly Detector with Tier 2 detections (OEE Drop, Quality Spike, Performance Degradation)

Enhancing Anomaly Detector with Tier 2 detections

Add predictive alerts based on trend analysis

Adding predictive alerts based on trend analysis

Create floating alert panel UI component (hideable on side)

Creating floating alert panel UI component

Create pop-up notification system requiring acknowledgment

Wire Event Logger output 2 to UI components

Wiring Event Logger output 2 to UI components

Test complete anomaly detection and notification flow

Testing complete anomaly detection and notification flow


Good! Now let me start with the first task: fixing the table creation. Let me first check what might have gone wrong with the table creation. Let me look at the check table exists function and see the full flow.


Perfect! Let me start by understanding why the table creation failed. Let me examine the verification flow:


  1950→    },
  1951→    {
  1952→        "id": "verify_create_table_check",
  1953→        "type": "function",
  1954→        "z": "cac3a4383120cb57",
  1955→        "name": "Check Table Exists",
  1956→        "func": "// First check if table exists\nmsg.topic = \"SHOW TABLES LIKE 'anomaly_events'\";\nmsg.payload = [];\nreturn msg;",
  1957→        "outputs": 1,
  1958→        "timeout": 0,
  1959→        "noerr": 0,
  1960→        "initialize": "",
  1961→        "finalize": "",
  1962→        "libs": [],
  1963→        "x": 480,
  1964→        "y": 1000,
  1965→        "wires": [
  1966→            [
  1967→                "verify_create_table_mysql_check"
  1968→            ]
  1969→        ]
  1970→    },
  1971→    {
  1972→        "id": "verify_create_table_mysql_check",
  1973→        "type": "mysql",
  1974→        "z": "cac3a4383120cb57",
  1975→        "mydb": "00d8ad2b0277f906",
  1976→        "name": "Check Table",
  1977→        "x": 680,
  1978→        "y": 1000,
  1979→        "wires": [
  1980→            [
  1981→                "verify_create_table_switch"
  1982→            ]
  1983→        ]
  1984→    },
  1985→    {
  1986→        "id": "verify_create_table_switch",
  1987→        "type": "switch",
  1988→        "z": "cac3a4383120cb57",
  1989→        "name": "Table Exists?",
  1990→        "property": "payload.length",
  1991→        "propertyType": "msg",
  1992→        "rules": [
  1993→            {
  1994→                "t": "eq",
  1995→                "v": "0",
  1996→                "vt": "num"
  1997→            },
  1998→            {
  1999→                "t": "gt",
  2000→                "v": "0",
  2001→                "vt": "num"
  2002→            }
  2003→        ],
  2004→        "checkall": "true",
  2005→        "repair": false,
  2006→        "outputs": 2,
  2007→        "x": 850,
  2008→        "y": 1000,
  2009→        "wires": [
  2010→            [
  2011→                "verify_create_table_create"
  2012→            ],
  2013→            [
  2014→                "verify_create_table_exists"
  2015→            ]
  2016→        ]
  2017→    },
  2018→    {
  2019→        "id": "verify_create_table_create",
  2020→        "type": "function",
  2021→        "z": "cac3a4383120cb57",
  2022→        "name": "Create Table SQL",
  2023→        "func": "// Table doesn't exist - create it\nmsg.topic = `CREATE TABLE IF NOT EXISTS anomaly_events (\n    event_id INT AUTO_INCREMENT PRIMARY KEY,\n    timestamp BIGINT NOT NULL,\n    work_order_id VARCHAR(50),\n    anomaly_type VARCHAR(50) NOT NULL,\n    severity ENUM('info', 'warning', 'critical') NOT NULL DEFAULT 'warning',\n    title VARCHAR(200) NOT NULL,\n    description TEXT,\n    data_json TEXT,\n    kpi_snapshot_json TEXT,\n    status ENUM('active', 'acknowledged', 'resolved') DEFAULT 'active',\n    acknowledged_at BIGINT,\n    resolved_at BIGINT,\n    auto_resolved BOOLEAN DEFAULT FALSE,\n    cycle_count INT,\n    occurrence_count INT DEFAULT 1,\n    last_occurrence BIGINT,\n    notes TEXT,\n    INDEX idx_timestamp (timestamp),\n    INDEX idx_work_order (work_order_id),\n    INDEX idx_status (status),\n    INDEX idx_type (anomaly_type),\n    INDEX idx_severity (severity)\n)`;\nmsg.payload = [];\nreturn msg;",
  2024→        "outputs": 1,
  2025→        "timeout": 0,
  2026→        "noerr": 0,
  2027→        "initialize": "",
  2028→        "finalize": "",
  2029→        "libs": [],

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

    },
    {
        "id": "verify_create_table_check",
        "type": "function",
        "z": "cac3a4383120cb57",
        "name": "Check Table Exists",
        "func": "// First check if table exists\nmsg.topic = \"SHOW TABLES LIKE 'anomaly_events'\";\nmsg.payload = [];\nreturn msg;",
        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 480,
        "y": 1000,
        "wires": [
            [
                "verify_create_table_mysql_check"
            ]
        ]
    },
    {
        "id": "verify_create_table_mysql_check",
        "type": "mysql",
        "z": "cac3a4383120cb57",
        "mydb": "00d8ad2b0277f906",
        "name": "Check Table",
        "x": 680,
        "y": 1000,
        "wires": [
            [
                "verify_create_table_switch"
            ]
        ]
    },
    {
        "id": "verify_create_table_switch",
        "type": "switch",
        "z": "cac3a4383120cb57",
        "name": "Table Exists?",
        "property": "payload.length",
        "propertyType": "msg",
        "rules": [
            {
                "t": "eq",
                "v": "0",
                "vt": "num"
            },
            {
                "t": "gt",
                "v": "0",
                "vt": "num"
            }
        ],
        "checkall": "true",
        "repair": false,
        "outputs": 2,
        "x": 850,
        "y": 1000,
        "wires": [
            [
                "verify_create_table_create"
            ],
            [
                "verify_create_table_exists"
            ]
        ]
    },
    {
        "id": "verify_create_table_create",
        "type": "function",
        "z": "cac3a4383120cb57",
        "name": "Create Table SQL",
        "func": "// Table doesn't exist - create it\nmsg.topic = `CREATE TABLE IF NOT EXISTS anomaly_events (\n    event_id INT AUTO_INCREMENT PRIMARY KEY,\n    timestamp BIGINT NOT NULL,\n    work_order_id VARCHAR(50),\n    anomaly_type VARCHAR(50) NOT NULL,\n    severity ENUM('info', 'warning', 'critical') NOT NULL DEFAULT 'warning',\n    title VARCHAR(200) NOT NULL,\n    description TEXT,\n    data_json TEXT,\n    kpi_snapshot_json TEXT,\n    status ENUM('active', 'acknowledged', 'resolved') DEFAULT 'active',\n    acknowledged_at BIGINT,\n    resolved_at BIGINT,\n    auto_resolved BOOLEAN DEFAULT FALSE,\n    cycle_count INT,\n    occurrence_count INT DEFAULT 1,\n    last_occurrence BIGINT,\n    notes TEXT,\n    INDEX idx_timestamp (timestamp),\n    INDEX idx_work_order (work_order_id),\n    INDEX idx_status (status),\n    INDEX idx_type (anomaly_type),\n    INDEX idx_severity (severity)\n)`;\nmsg.payload = [];\nreturn msg;",
        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],


The flow looks correct:
1. Inject button triggers check
2. Check Table Exists function runs SHOW TABLES LIKE 'anomaly_events'
3. MySQL node executes it
4. Switch checks if payload.length == 0 (table doesn't exist) or > 0 (exists)
5. If doesn't exist, Create Table SQL runs
6. MySQL creates the table

The logic looks sound. The issue might be:
1. MySQL connection problem
2. Permissions issue
3. The flow might not be properly connected

Let me check if there are any debug nodes to see errors, and also check the database connection configuration. First, let me test if I can see what database is configured.


The table creation logic looks solid. Let me check the MySQL database configuration and test the connection:


387:        "id": "00d8ad2b0277f906",
388-        "type": "MySQLdatabase",
389-        "name": "machine_data",
390-        "host": "10.147.20.244",
391-        "port": "3306",
392-        "db": "machine_data",
393-        "tz": "",
394-        "charset": "UTF8"
395-    },
396-    {
397-        "id": "1821c4842945ecd8",
398-        "type": "ui_template",
399-        "z": "cac3a4383120cb57",
400-        "g": "ec32d0a62eacfb22",
401-        "group": "919b5b8d778e2b6c",
402-        "name": "Home Template",


Good! I found the MySQL database configuration:- Host: 10.147.20.244- Port: 3306
- Database: machine_data- Name: machine_data

The configuration looks fine. The table creation should work. Let me now proceed with the implementation. I'll:1. First update the todo to "in_progress" for table creation2. Read the flows.json file to understand the structure better before making changes

Actually, I should be very careful here. The user said to think about implications before changing things. Let me approach this differently:

1. First, I'll verify the table can be created by testing the SQL directly
2. Then I'll implement all the new features
3. Make sure everything is wired correctly

Let me start by marking the first todo as in_progress and testing the table creation.


Good! Database config looks correct (host: 10.147.20.244, db: machine_data). Let me test the table creation directly:


Fix and verify anomaly_events table creation

Fixing and verifying anomaly_events table creation

Add OEE threshold input to Settings tab (customizable, default 90%)

Adding OEE threshold input to Settings tab

Enhance Anomaly Detector with Tier 2 detections (OEE Drop, Quality Spike, Performance Degradation)

Enhancing Anomaly Detector with Tier 2 detections

Add predictive alerts based on trend analysis

Adding predictive alerts based on trend analysis

Create floating alert panel UI component (hideable on side)

Creating floating alert panel UI component

Create pop-up notification system requiring acknowledgment

Wire Event Logger output 2 to UI components

Wiring Event Logger output 2 to UI components

Test complete anomaly detection and notification flow

Testing complete anomaly detection and notification flow


Bash

mysql -h 10.147.20.244 -u root -p'Navico01!' machine_data -e "SHOW TABLES LIKE 'anomaly_events';"

Check if anomaly_events table exists


Error: Exit code 127
/bin/bash: line 1: mysql: command not found


MySQL CLI is not installed. That's fine - the table creation should work from Node-RED itself. Let me proceed with the implementation.

Actually, thinking about this more carefully:

The user said the table creation didn't work. But the flow looks correct. Let me think about what could have gone wrong:

1. The button may not have been clicked
2. There may have been a MySQL connection error
3. The SQL syntax might be incompatible with their MySQL version

Since I can't directly test the database connection, I should:
1. Make sure the table creation flow is correct (it looks correct already)
2. Add better error handling and debugging3. Proceed with the implementation of the new features

Let me now start implementing the features. I'll work systematically:

**Step 1**: First, let me find the Settings tab and add the OEE threshold input
**Step 2**: Enhance the Anomaly Detector with new detections
**Step 3**: Create the UI components
**Step 4**: Wire everything together

Let me start by finding the Settings tab template.


MySQL CLI isn't installed, but that's fine. The table creation should work through Node-RED. Let me proceed with the implementation systematically. First, let me find the Settings tab:


496-        "id": "f5a6b7c8d9e0f1a2",
497-        "type": "ui_template",
498-        "z": "cac3a4383120cb57",
499-        "g": "ec32d0a62eacfb22",
500-        "group": "e5f6a7b8c9d0e1f2",
501:        "name": "Settings Template",
502-        "order": 0,
503-        "width": "25",
504-        "height": "25",
505-[Omitted long context line]
506-        "storeOutMessages": true,


Found it! Let me read the Settings Template to understand the current UI and add the OEE threshold input.