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→        "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\" 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 active\" data-label=\"Settings\" ng-click=\"gotoTab('Settings')\">\u2699\ufe0f</button>\n
\n
OEE V1.0
\n  \n\n  \n
\n
\n
Settings
\n
\n\n
\n
Mold Presets
\n
\n
\n            Manufacturer\n            <select id=\"preset-manufacturer\"\n                    ng-model=\"selectedManufacturer\"\n                    ng-change=\"onManufacturerChange()\">\n              <option value=\"\">Select manufacturer...</option>\n              <option ng-repeat=\"mfg in manufacturers\" value=\"{{mfg}}\">{{mfg}}</option>\n            </select>\n
\n
\n            Mold\n            <select id=\"preset-mold\"\n                    ng-model=\"selectedMold\"\n                    ng-options=\"preset as preset.mold_name for preset in moldsForManufacturer | orderBy:'mold_name'\"\n                    ng-change=\"onMoldChange()\">\n              <option value=\"\">Select mold...</option>\n            </select>\n
\n
\n      \n
\n          \n
\n
Select a manufacturer and mold from the dropdowns above.
\n
\n\n          \n
\n
\n
\n                Manufacturer\n                <input id=\"new-mold-manufacturer\"\n                       type=\"text\"\n                       ng-model=\"newMold.manufacturer\"\n                       placeholder=\"Type manufacturer...\" />\n
\n
\n                Mold Name\n                <input id=\"new-mold-name\"\n                       type=\"text\"\n                       ng-model=\"newMold.mold_name\"\n                       placeholder=\"Type mold name...\" />\n
\n
\n                Mold Cavities\n                <input id=\"new-mold-cavities\"\n                        type=\"text\"\n                        ng-model=\"newMold.cavities\"\n                        placeholder=\"Type Theoretical Cavities...\" />\n
\n
\n                Active Cavities\n                <input id=\"new-mold-active\"\n                        type=\"text\"\n                        ng-model=\"newMold.active\"\n                        placeholder=\"Type Active Cavities...\" />\n
\n
\n
\n                <button class=\"preset-select-btn\"\n                        type=\"button\"\n                        ng-click=\"saveNewMold()\"\n                        ng-disabled=\"isSavingMold\">\n                  {{ isSavingMold ? 'Saving...' : 'Save' }}\n                </button>\n                <button class=\"preset-select-btn\"\n                        type=\"button\"\n                        ng-click=\"cancelAddMold()\"\n                        ng-disabled=\"isSavingMold\">\n                  Cancel\n                </button>\n
\n
\n
\n
\n\n
\n
Mold Configuration
\n
\n
\n            Mold Cavities\n              <input id=\"mold-total\" type=\"number\" ng-model=\"moldTotal\" ng-change=\"updateMoldSettings()\" />\n
\n
\n            Active Cavities\n              <input id=\"mold-active\" type=\"number\" ng-model=\"moldActive\" ng-change=\"updateMoldSettings()\" />\n
\n
\n
\n\n
\n
Integrations
\n
\n
\n            <button class=\"integrations-button\" type=\"button\" disabled>Connect to ERP</button>\n
\n
\n
Can't find the mold you're looking for?
\n            <button class=\"preset-select-btn\" type=\"button\" ng-click=\"openAddMold()\">Add Mold</button>\n
\n
\n
\n
\n  \n
\n\n\n\n\n",
   506→        "storeOutMessages": true,
   507→        "fwdInMessages": true,
   508→        "resendOnRefresh": true,
   509→        "templateScope": "local",
   510→        "className": "",
   511→        "x": 210,
   512→        "y": 280,
   513→        "wires": [
   514→            [
   515→                "a7d58e15929b3d8c",
   516→                "0a5caf3e23c68e6e"
   517→            ]
   518→        ]
   519→    },
   520→    {
   521→        "id": "f1a2b3c4d5e6f7a8",
   522→        "type": "ui_template",
   523→        "z": "cac3a4383120cb57",
   524→        "g": "ec32d0a62eacfb22",
   525→        "group": "e1f2a3b4c5d6e7f8",
   526→        "name": "WO Template",
   527→        "order": 1,
   528→        "width": "25",
   529→        "height": "25",
   530→        "format": "\n
\n  \n
\n      <button class=\"sb-btn\" data-label=\"Home\" ng-click=\"gotoTab('Home')\">\ud83c\udfe0</button>\n      <button class=\"sb-btn active\" data-label=\"Work Orders\" ng-click=\"gotoTab('Work Orders')\">\ud83d\udccb</button>\n      <button class=\"sb-btn\" 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
Work Orders
\n
\n          \n            0 selected\n          \n          <button class=\"action-btn\" data-action=\"upload-excel\">Upload Excel</button>\n          <button class=\"action-btn\" data-action=\"start-work-order\" id=\"load-btn\">Load</button>\n          <button class=\"action-btn\" data-action=\"complete-work-order\" id=\"done-btn\">Done</button>\n          <button class=\"action-btn\" data-action=\"refresh-work-orders\">Refresh</button>\n          <button class=\"action-btn exit-multi-select\" id=\"exit-multi-select-btn\" style=\"display:none;\">Exit Multi-Select</button>\n          <input type=\"file\" id=\"wo-file\" accept=\".xlsx\" style=\"display:none\" />\n
\n
\n\n
\n
\n
\n
\n
\n                	\n                ID	\n                SKU	\n                TARGET	\n                GOOD	\n                SCRAP	\n                PROGRESS	\n                STATUS	\n                LAST UPDATE	\n
\n
\n

\n
\n
\n
\n          0 items\n          Tip: Long-press or right-click to multi-select\n
\n
\n
\n  \n
\n\n\n",
   531→        "storeOutMessages": true,
   532→        "fwdInMessages": true,
   533→        "resendOnRefresh": true,
   534→        "templateScope": "local",
   535→        "className": "",
   536→        "x": 200,
   537→        "y": 120,
   538→        "wires": [
   539→            [
   540→                "a7d58e15929b3d8c",
   541→                "010de5af3ced0ae3"
   542→            ]
   543→        ]
   544→    },
   545→    {
   546→        "id": "a7d58e15929b3d8c",
   547→        "type": "function",
   548→        "z": "cac3a4383120cb57",
   549→        "g": "ec32d0a62eacfb22",
   550→        "name": "Tab navigation",
   551→        "func": "if (msg.ui_control && msg.ui_control.tab) {\n    msg.payload = { tab: msg.ui_control.tab };\n    delete msg.ui_control;\n    return msg;\n}\nreturn null;",
   552→        "outputs": 1,
   553→        "timeout": 0,
   554→        "noerr": 0,
   555→        "initialize": "",
   556→        "finalize": "",
   557→        "libs": [],
   558→        "x": 440,
   559→        "y": 180,
   560→        "wires": [
   561→            [
   562→                "cc81a9dbfd443d62"
   563→            ]
   564→        ]
   565→    },
   566→    {
   567→        "id": "cc81a9dbfd443d62",
   568→        "type": "ui_ui_control",
   569→        "z": "cac3a4383120cb57",
   570→        "g": "ec32d0a62eacfb22",
   571→        "name": "",
   572→        "events": "all",
   573→        "x": 600,
   574→        "y": 180,
   575→        "wires": [
   576→            []
   577→        ]
   578→    },
   579→    {
   580→        "id": "06f9769e8b0d5355",
   581→        "type": "ui_template",
   582→        "z": "cac3a4383120cb57",
   583→        "g": "ec32d0a62eacfb22",
   584→        "group": "",
   585→        "name": "General Style",
   586→        "order": 0,
   587→        "width": 0,
   588→        "height": 0,
   589→        "format": "",
   590→        "storeOutMessages": true,
   591→        "fwdInMessages": true,
   592→        "resendOnRefresh": true,
   593→        "templateScope": "global",
   594→        "className": "",
   595→        "x": 560,

<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": "f5a6b7c8d9e0f1a2",
        "type": "ui_template",
        "z": "cac3a4383120cb57",
        "g": "ec32d0a62eacfb22",
        "group": "e5f6a7b8c9d0e1f2",
        "name": "Settings 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\" 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 active\" data-label=\"Settings\" ng-click=\"gotoTab('Settings')\">\u2699\ufe0f</button>\n
\n
OEE V1.0
\n  \n\n  \n
\n
\n
Settings
\n
\n\n
\n
Mold Presets
\n
\n
\n            Manufacturer\n            <select id=\"preset-manufacturer\"\n                    ng-model=\"selectedManufacturer\"\n                    ng-change=\"onManufacturerChange()\">\n              <option value=\"\">Select manufacturer...</option>\n              <option ng-repeat=\"mfg in manufacturers\" value=\"{{mfg}}\">{{mfg}}</option>\n            </select>\n
\n
\n            Mold\n            <select id=\"preset-mold\"\n                    ng-model=\"selectedMold\"\n                    ng-options=\"preset as preset.mold_name for preset in moldsForManufacturer | orderBy:'mold_name'\"\n                    ng-change=\"onMoldChange()\">\n              <option value=\"\">Select mold...</option>\n            </select>\n
\n
\n      \n
\n          \n
\n
Select a manufacturer and mold from the dropdowns above.
\n
\n\n          \n
\n
\n
\n                Manufacturer\n                <input id=\"new-mold-manufacturer\"\n                       type=\"text\"\n                       ng-model=\"newMold.manufacturer\"\n                       placeholder=\"Type manufacturer...\" />\n
\n
\n                Mold Name\n                <input id=\"new-mold-name\"\n                       type=\"text\"\n                       ng-model=\"newMold.mold_name\"\n                       placeholder=\"Type mold name...\" />\n
\n
\n                Mold Cavities\n                <input id=\"new-mold-cavities\"\n                        type=\"text\"\n                        ng-model=\"newMold.cavities\"\n                        placeholder=\"Type Theoretical Cavities...\" />\n
\n
\n                Active Cavities\n                <input id=\"new-mold-active\"\n                        type=\"text\"\n                        ng-model=\"newMold.active\"\n                        placeholder=\"Type Active Cavities...\" />\n
\n
\n
\n                <button class=\"preset-select-btn\"\n                        type=\"button\"\n                        ng-click=\"saveNewMold()\"\n                        ng-disabled=\"isSavingMold\">\n                  {{ isSavingMold ? 'Saving...' : 'Save' }}\n                </button>\n                <button class=\"preset-select-btn\"\n                        type=\"button\"\n                        ng-click=\"cancelAddMold()\"\n                        ng-disabled=\"isSavingMold\">\n                  Cancel\n                </button>\n
\n
\n
\n
\n\n
\n
Mold Configuration
\n
\n
\n            Mold Cavities\n              <input id=\"mold-total\" type=\"number\" ng-model=\"moldTotal\" ng-change=\"updateMoldSettings()\" />\n
\n
\n            Active Cavities\n              <input id=\"mold-active\" type=\"number\" ng-model=\"moldActive\" ng-change=\"updateMoldSettings()\" />\n
\n
\n
\n\n
\n
Integrations
\n
\n
\n            <button class=\"integrations-button\" type=\"button\" disabled>Connect to ERP</button>\n
\n
\n
Can't find the mold you're looking for?
\n            <button class=\"preset-select-btn\" type=\"button\" ng-click=\"openAddMold()\">Add Mold</button>\n
\n
\n
\n
\n  \n
\n\n\n\n\n",
        "storeOutMessages": true,
        "fwdInMessages": true,
        "resendOnRefresh": true,
        "templateScope": "local",
        "className": "",
        "x": 210,
        "y": 280,
        "wires": [
            [
                "a7d58e15929b3d8c",
                "0a5caf3e23c68e6e"
            ]
        ]
    },
    {
        "id": "f1a2b3c4d5e6f7a8",
        "type": "ui_template",
        "z": "cac3a4383120cb57",
        "g": "ec32d0a62eacfb22",
        "group": "e1f2a3b4c5d6e7f8",
        "name": "WO Template",
        "order": 1,
        "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 active\" data-label=\"Work Orders\" ng-click=\"gotoTab('Work Orders')\">\ud83d\udccb</button>\n      <button class=\"sb-btn\" 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
Work Orders
\n
\n          \n            0 selected\n          \n          <button class=\"action-btn\" data-action=\"upload-excel\">Upload Excel</button>\n          <button class=\"action-btn\" data-action=\"start-work-order\" id=\"load-btn\">Load</button>\n          <button class=\"action-btn\" data-action=\"complete-work-order\" id=\"done-btn\">Done</button>\n          <button class=\"action-btn\" data-action=\"refresh-work-orders\">Refresh</button>\n          <button class=\"action-btn exit-multi-select\" id=\"exit-multi-select-btn\" style=\"display:none;\">Exit Multi-Select</button>\n          <input type=\"file\" id=\"wo-file\" accept=\".xlsx\" style=\"display:none\" />\n
\n
\n\n
\n
\n
\n
\n
\n                	\n                ID	\n                SKU	\n                TARGET	\n                GOOD	\n                SCRAP	\n                PROGRESS	\n                STATUS	\n                LAST UPDATE	\n
\n
\n

\n
\n
\n
\n          0 items\n          Tip: Long-press or right-click to multi-select\n
\n
\n
\n  \n
\n\n\n",
        "storeOutMessages": true,
        "fwdInMessages": true,
        "resendOnRefresh": true,
        "templateScope": "local",
        "className": "",
        "x": 200,
        "y": 120,
        "wires": [
            [
                "a7d58e15929b3d8c",
                "010de5af3ced0ae3"
            ]
        ]
    },
    {
        "id": "a7d58e15929b3d8c",
        "type": "function",
        "z": "cac3a4383120cb57",
        "g": "ec32d0a62eacfb22",
        "name": "Tab navigation",
        "func": "if (msg.ui_control && msg.ui_control.tab) {\n    msg.payload = { tab: msg.ui_control.tab };\n    delete msg.ui_control;\n    return msg;\n}\nreturn null;",
        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 440,
        "y": 180,
        "wires": [
            [
                "cc81a9dbfd443d62"
            ]
        ]
    },
    {
        "id": "cc81a9dbfd443d62",
        "type": "ui_ui_control",
        "z": "cac3a4383120cb57",
        "g": "ec32d0a62eacfb22",
        "name": "",
        "events": "all",
        "x": 600,
        "y": 180,
        "wires": [
            []
        ]
    },
    {
        "id": "06f9769e8b0d5355",
        "type": "ui_template",
        "z": "cac3a4383120cb57",
        "g": "ec32d0a62eacfb22",
        "group": "",
        "name": "General Style",
        "order": 0,
        "width": 0,
        "height": 0,
        "format": "",
        "storeOutMessages": true,
        "fwdInMessages": true,
        "resendOnRefresh": true,
        "templateScope": "global",
        "className": "",
        "x": 560,


The Settings template is huge! I can see it has:- Mold Presets section
- Mold Configuration section
- Integrations section

I need to add an "Anomaly Detection" section with an OEE threshold input. Let me think about where to add it and how to structure it. It should follow the same styling pattern.

Given the size and complexity of this file, I need to be very careful. Let me:1. Add a new section for Anomaly Detection settings after the Mold Configuration section2. Include the OEE threshold input styled to match the form fields3. Add JavaScript to handle saving/loading the threshold4. Store the threshold in global context

Actually, this is a very large change. Let me think step-by-step about the overall implementation approach:

1. First, I should understand what data I have access to for quality spike detection (scrap tracking)2. Then, I need to modify multiple components:   - Settings tab (add OEE threshold input)
   - Anomaly Detector function (add Tier 2 detections)
   - Create floating UI components
   - Wire everything together

This is complex and I need to be very careful not to break existing functionality. Let me step back and create a more structured plan by examining what data is available for the new detections.Let me search for scrap-related code to understand how quality data flows.


Perfect! Now I can see the Settings template structure. Before I make changes, let me understand how scrap tracking works to implement the Quality Spike detection. Let me search for scrap-related code:


Found 1 file
/home/mdares/.node-red/flows.json


Good, the file has both scrap and KPIs/OEE data. Now I have a complete understanding. Let me create a comprehensive implementation plan.Given the complexity and the user's request to be very careful and think about implications, I should:

**My Approach:**
1. Start with the database table creation fix (simplest, foundational)
2. Add Settings UI for OEE threshold (non-breaking, standalone)
3. Enhance Anomaly Detector with new detections (modifying existing function - need to be careful)
4. Create UI components (new elements, minimal impact on existing)
5. Wire everything together6. Test

Let me start methodically. First, let me think about the files I'll need to modify:

**Changes needed:**
1. **flows.json** - All changes happen here since it's a Node-RED flow

Let me make a backup plan in my mind:- I'll read the entire relevant section
- Make surgical edits- Test the logic before implementing

Actually, before I start making changes, let me create a clearer picture by asking the user if they have a backup and confirming the approach. Actually, the user asked me to proceed, so let me start carefully.

Let me begin with Task 1: Fix the table creation. The SQL looks correct, so let me just ensure it's properly connected. Then move to Task 2: Settings tab modifications.


Good! Now let me start the implementation systematically. I'll work through each task carefully, thinking about implications before making changes.

Let me begin by creating a comprehensive implementation. Since all changes happen in flows.json, I'll need to be very precise. Let me start with the smaller, safer changes first:

## Step 1: Add OEE Threshold to Settings Tab

This is a standalone addition that won't affect existing functionality. Let me prepare the modification:


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


Wait, I marked the first task as completed, but I shouldn't have. The table creation hasn't been verified yet. Let me correct this and continue more carefully. Actually, looking at the table creation SQL and flow, it appears correct. The issue might be that the user just hasn't clicked the button yet, or there was a transient error. Since I can't directly test the MySQL connection, I should proceed with the assumption that the flow is correct and it will work when triggered.

Let me mark it back to in_progress and move forward with adding the Settings tab modifications. Actually, let me reconsider - the user said the table "didn't get created". That could mean:1. They clicked the button and it failed
2. They haven't clicked it yet3. There's an error in the flow

Since the SQL and flow look correct, and I can't test MySQL directly, I should add better error handling/debugging and assume the core logic is sound. Let me proceed with the Settings tab changes and come back to verify the table later.

Actually, I should be more systematic. Let me create a proper implementation where I:1. Save the original Section 2. Make the modification3. Verify the changes are correctLet me now modify the Settings template to add the OEE threshold input.


Let me fix the todo status and proceed carefully. The table creation SQL looks correct - we'll verify it works when we test. Now let me add the OEE threshold setting to the Settings tab.

I need to add a new section after "Mold Configuration" and before "Integrations". Let me prepare the updated Settings template:


Edit

Integrations

            <button class="integrations-button" type="button" disabled>Connect to ERP</button>

Can't find the mold you're looking for?

            <button class="preset-select-btn" type="button" ng-click="openAddMold()">Add Mold</button>

Anomaly Detection

            OEE Alert Threshold (%)
            <input id="oee-threshold" type="number" min="0" max="100" step="1" ng-model="oeeThreshold" ng-change="updateOeeThreshold()" />

Alert when OEE drops below this threshold. Default: 90%

Integrations

            <button class="integrations-button" type="button" disabled>Connect to ERP</button>

Can't find the mold you're looking for?

            <button class="preset-select-btn" type="button" ng-click="openAddMold()">Add Mold</button>


<tool_use_error>String to replace not found in file.
String:

Integrations

            <button class="integrations-button" type="button" disabled>Connect to ERP</button>

Can't find the mold you're looking for?

            <button class="preset-select-btn" type="button" ng-click="openAddMold()">Add Mold</button>

</tool_use_error>

Error: String to replace not found in file.
String:

Integrations

            <button class="integrations-button" type="button" disabled>Connect to ERP</button>

Can't find the mold you're looking for?

            <button class="preset-select-btn" type="button" ng-click="openAddMold()">Add Mold</button>


The string wasn't found - probably because it's encoded in JSON with escape characters. Since flows.json is a JSON file, the HTML is stored as an escaped string in the "format" field. I need to be more careful about the exact formatting.

Let me search for the exact pattern in the file to see how it's formatted.


The string formatting is different in JSON. Let me search for the exact pattern:


478-        "order": 0,
479-        "width": "25",
480-        "height": "25",
481:[Omitted long matching line]
482-        "storeOutMessages": true,
483-        "fwdInMessages": true,
484-        "resendOnRefresh": true,
--
502-        "order": 0,
503-        "width": "25",

[Showing results with pagination = limit: 10, offset: 0]


The content lines are being omitted because they're too long. The HTML template is stored as a single long string in the "format" field. This makes it very difficult to edit with the Edit tool.

I have a few options:1. Read the specific portion of the file and reconstruct the entire format field2. Use a different approach - maybe add a separate template node
3. Extract the HTML, modify it, and write it back

Actually, given the complexity and the user's request to be very careful, let me take a different approach. Instead of modifying the existing large template, I should:1. Create separate function nodes to handle the settings storage/retrieval
2. Keep modifications minimal and surgical

Actually, wait. Let me think about this more carefully. The Settings template is very large and complex. Making changes to it is risky.

Let me reconsider the implementation approach:

**Alternative Approach:**
1. Store OEE threshold in a global variable (can be done via a simple inject node or function)
2. For now, use a default of 90% hardcoded3. Add a proper Settings UI later if needed

OR

**Better Approach:**
1. Add a small, separate UI node just for the OEE threshold setting2. Keep it simple and isolated

Let me go with creating the core functionality first (enhanced anomaly detector) and then add the UI components. This way, the critical detection logic is in place, and the UI can be added incrementally.

Let me shift focus to enhancing the Anomaly Detector first, then create the floating alert panel. The Settings UI can be added last since it's just for customization.


Given the complexity of modifying the large Settings template JSON, let me take a more surgical approach. I'll implement the features in this order:

1. **First**: Enhance the Anomaly Detector with Tier 2 detections (using a default 90% OEE threshold for now)
2. **Second**: Create the floating alert panel and popup notifications
3. **Third**: Wire everything together
4. **Finally**: Add the Settings UI for threshold customization

This approach minimizes risk and lets us test core functionality first. Let me start by enhancing the Anomaly Detector:


TodoWrite

Fix and verify anomaly_events table creation

Fixing and verifying anomaly_events table creation

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

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

Adding OEE threshold input to Settings tab

Test complete anomaly detection and notification flow

Testing complete anomaly detection and notification flow


Good, I've reordered the todos to reflect the new approach. Now let me read the full Anomaly Detector function and enhance it with Tier 2 detections. I need to add:1. **OEE Drop Detection**: Alert when OEE < threshold (90% default)
2. **Quality Spike Detection**: Alert when scrap rate increases significantly
3. **Performance Degradation**: Alert when consistent underperformance over time

Let me read the function first to understand the current structure completely.


Now let me enhance the Anomaly Detector function. First, let me get the complete current implementation:


  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→    {

<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"
            ]
        ]
    },
    {


Perfect! Now I have the complete Anomaly Detector function. I can see it's well-structured with:
- Tier 1: Slow cycle detection
- Tier 1: Production stoppage detection

Now I need to add Tier 2 detections:
1. **OEE Drop Detection**:  Input available: `kpis.oee`   - Trigger when kpis.oee < threshold (90% default)
   - Track historical OEE to detect drops   - Severity: critical if < 75%, warning if < 90%

2. **Quality Spike Detection**:
   - Need to track scrap rate over time
   - Detect sudden increases in defect percentage
   - Input: I need to find where scrap data comes from

3. **Performance Degradation**:
   - Track performance metric over time
   - Input: `kpis.performance`
   - Detect consistent underperformance

4. **Predictive Alerts**:
   - Trend analysis on OEE, performance, quality
   - Predict issues before they become critical

Let me now create the enhanced version. I'll add these detections carefully, ensuring I don't break the existing logic.

I need to be mindful of:
- Global state management (anomalyState)
- Deduplication (handled by Event Logger, not here)
- Severity levels (info, warning, critical)
- Data structure consistency

Let me craft the enhanced function:


Perfect! Now I'll enhance this function with Tier 2 detections. Let me create the improved version carefully:


Edit

"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",

"func": "// ============================================================\n// ANOMALY DETECTOR - Enhanced with Tier 1 & 2 Detections\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    oeeHistory: [],\n    performanceHistory: [],\n    qualityHistory: []\n};\n\n// Configuration\nconst OEE_THRESHOLD = global.get(\"oeeAlertThreshold\") || 90;  // Customizable in settings\nconst HISTORY_WINDOW = 20;  // Keep last 20 data points for trend analysis\nconst QUALITY_SPIKE_THRESHOLD = 5;  // Alert if scrap rate increases by 5%+\n\nconst detectedAnomalies = [];\n\n// ============================================================\n// TIER 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// TIER 1: 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// ============================================================\n// TIER 2: OEE DROP DETECTION\n// Trigger: OEE falls below threshold\n// ============================================================\nconst currentOEE = Number(kpis.oee) || 0;\nif (currentOEE > 0 && currentOEE < OEE_THRESHOLD) {\n    let severity = 'warning';\n    if (currentOEE < 75) {\n        severity = 'critical';  // Critically low OEE\n    }\n\n    detectedAnomalies.push({\n        anomaly_type: 'oee-drop',\n        severity: severity,\n        title: `OEE Below Threshold`,\n        description: `OEE at ${currentOEE.toFixed(1)}% (threshold: ${OEE_THRESHOLD}%)`,\n        data: {\n            current_oee: currentOEE,\n            threshold: OEE_THRESHOLD,\n            delta: OEE_THRESHOLD - currentOEE\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] OEE drop: ${currentOEE.toFixed(1)}% (threshold: ${OEE_THRESHOLD}%)`);\n}\n\n// Update OEE history for trend analysis\nanomalyState.oeeHistory.push({ timestamp: now, value: currentOEE });\nif (anomalyState.oeeHistory.length > HISTORY_WINDOW) {\n    anomalyState.oeeHistory.shift();  // Keep only recent history\n}\n\n// ============================================================\n// TIER 2: QUALITY SPIKE DETECTION\n// Trigger: Sudden increase in scrap/defect rate\n// ============================================================\nconst totalParts = (cycle.goodParts || 0) + (cycle.scrapParts || 0);\nconst currentScrapRate = totalParts > 0 ? ((cycle.scrapParts || 0) / totalParts) * 100 : 0;\n\nanomalyState.qualityHistory.push({ timestamp: now, value: currentScrapRate });\nif (anomalyState.qualityHistory.length > HISTORY_WINDOW) {\n    anomalyState.qualityHistory.shift();\n}\n\n// Calculate average scrap rate from history\nif (anomalyState.qualityHistory.length >= 5) {\n    const recentHistory = anomalyState.qualityHistory.slice(0, -1);  // Exclude current\n    const avgScrapRate = recentHistory.reduce((sum, point) => sum + point.value, 0) / recentHistory.length;\n\n    const scrapRateIncrease = currentScrapRate - avgScrapRate;\n\n    if (scrapRateIncrease > QUALITY_SPIKE_THRESHOLD && currentScrapRate > 2) {\n        let severity = 'warning';\n        if (scrapRateIncrease > 10 || currentScrapRate > 15) {\n            severity = 'critical';  // Major quality issue\n        }\n\n        detectedAnomalies.push({\n            anomaly_type: 'quality-spike',\n            severity: severity,\n            title: `Quality Issue Detected`,\n            description: `Scrap rate at ${currentScrapRate.toFixed(1)}% (avg: ${avgScrapRate.toFixed(1)}%, +${scrapRateIncrease.toFixed(1)}%)`,\n            data: {\n                current_scrap_rate: currentScrapRate,\n                average_scrap_rate: avgScrapRate,\n                increase: scrapRateIncrease,\n                scrap_parts: cycle.scrapParts || 0,\n                total_parts: totalParts\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] Quality spike: Scrap rate ${currentScrapRate.toFixed(1)}% (avg: ${avgScrapRate.toFixed(1)}%)`);\n    }\n}\n\n// ============================================================\n// TIER 2: PERFORMANCE DEGRADATION\n// Trigger: Consistent underperformance over time\n// ============================================================\nconst currentPerformance = Number(kpis.performance) || 0;\nanomalyState.performanceHistory.push({ timestamp: now, value: currentPerformance });\nif (anomalyState.performanceHistory.length > HISTORY_WINDOW) {\n    anomalyState.performanceHistory.shift();\n}\n\n// Check for sustained poor performance (at least 10 data points)\nif (anomalyState.performanceHistory.length >= 10) {\n    const recent10 = anomalyState.performanceHistory.slice(-10);\n    const avgPerformance = recent10.reduce((sum, point) => sum + point.value, 0) / recent10.length;\n\n    // Alert if consistently below 85% performance\n    if (avgPerformance > 0 && avgPerformance < 85) {\n        let severity = 'warning';\n        if (avgPerformance < 75) {\n            severity = 'critical';  // Severely degraded performance\n        }\n\n        detectedAnomalies.push({\n            anomaly_type: 'performance-degradation',\n            severity: severity,\n            title: `Performance Degradation`,\n            description: `Performance at ${avgPerformance.toFixed(1)}% (sustained over last 10 cycles)`,\n            data: {\n                average_performance: avgPerformance,\n                current_performance: currentPerformance,\n                threshold: 85,\n                sample_size: 10\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] Performance degradation: ${avgPerformance.toFixed(1)}% over last 10 cycles`);\n    }\n}\n\n// ============================================================\n// TIER 3: PREDICTIVE ALERTS (Trend Analysis)\n// Predict issues before they become critical\n// ============================================================\nif (anomalyState.oeeHistory.length >= 15) {\n    // Simple linear trend analysis on OEE\n    const recent15 = anomalyState.oeeHistory.slice(-15);\n    const firstHalf = recent15.slice(0, 7);\n    const secondHalf = recent15.slice(-7);\n\n    const avgFirstHalf = firstHalf.reduce((sum, p) => sum + p.value, 0) / firstHalf.length;\n    const avgSecondHalf = secondHalf.reduce((sum, p) => sum + p.value, 0) / secondHalf.length;\n\n    const oeeTrend = avgSecondHalf - avgFirstHalf;\n\n    // Predict if OEE is trending downward significantly\n    if (oeeTrend < -5 && avgSecondHalf > OEE_THRESHOLD * 0.95 && avgSecondHalf < OEE_THRESHOLD * 1.05) {\n        detectedAnomalies.push({\n            anomaly_type: 'predictive-oee-decline',\n            severity: 'info',\n            title: `Declining OEE Trend Detected`,\n            description: `OEE trending down ${Math.abs(oeeTrend).toFixed(1)}% over last 15 cycles. Current: ${avgSecondHalf.toFixed(1)}%`,\n            data: {\n                trend: oeeTrend,\n                first_half_avg: avgFirstHalf,\n                second_half_avg: avgSecondHalf,\n                prediction: 'OEE may drop below threshold soon'\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(`[PREDICTIVE] OEE trending down: ${oeeTrend.toFixed(1)}%`);\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",