Initial commit, 90% there

.claude/file-history/138484f6-474d-4740-8791-b8f49f53e200/1ed953114de2113b@v2

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+#!/usr/bin/env python3
+import json
+
+with open('/home/mdares/.node-red/flows.json', 'r') as f:
+    flows = json.load(f)
+
+# New Format Graph Data function that handles KPI history data
+new_format_func = '''// Format Graph Data for KPI charts
+
+// Check if we have KPI history data (from global context)
+if (msg.topic === "kpiHistory" && msg.payload) {
+    const kpiData = msg.payload;
+
+    // Extract arrays
+    const oeeHist = kpiData.oee || [];
+    const availHist = kpiData.availability || [];
+    const perfHist = kpiData.performance || [];
+    const qualHist = kpiData.quality || [];
+
+    // Build labels and data arrays
+    const labels = [];
+    const oeeData = [];
+    const availData = [];
+    const perfData = [];
+    const qualData = [];
+
+    // Use OEE timestamps as primary (they should all be the same length)
+    oeeHist.forEach((point, index) => {
+        const timestamp = new Date(point.timestamp);
+        labels.push(timestamp.toLocaleString());
+
+        oeeData.push(point.value || 0);
+        availData.push(availHist[index]?.value || 0);
+        perfData.push(perfHist[index]?.value || 0);
+        qualData.push(qualHist[index]?.value || 0);
+    });
+
+    msg.graphData = {
+        labels: labels,
+        datasets: [
+            { label: 'OEE %', data: oeeData },
+            { label: 'Availability %', data: availData },
+            { label: 'Performance %', data: perfData },
+            { label: 'Quality %', data: qualData }
+        ]
+    };
+
+    node.warn(`[GRAPH DATA] Formatted ${labels.length} KPI history points`);
+
+    delete msg.topic;
+    delete msg.payload;
+    return msg;
+}
+
+// Legacy support: work_orders query data (if needed)
+const rows = msg.payload || [];
+
+if (!Array.isArray(rows) || rows.length === 0) {
+    msg.graphData = {
+        labels: [],
+        datasets: [
+            { label: 'OEE %', data: [] },
+            { label: 'Availability %', data: [] },
+            { label: 'Performance %', data: [] },
+            { label: 'Quality %', data: [] }
+        ]
+    };
+    delete msg.topic;
+    delete msg.payload;
+    return msg;
+}
+
+// If we have work_orders data, format it (though we won't use this path anymore)
+const labels = [];
+const goodData = [];
+const scrapData = [];
+const efficiencyData = [];
+const qualityData = [];
+
+rows.forEach(row => {
+    const timestamp = new Date(row.updated_at);
+    labels.push(timestamp.toLocaleString());
+
+    const good = Number(row.good_parts) || 0;
+    const scrap = Number(row.scrap_parts) || 0;
+    const target = Number(row.target_quantity) || 0;
+
+    goodData.push(good);
+    scrapData.push(scrap);
+
+    let eff = (row.progress_percent != null)
+        ? Number(row.progress_percent)
+        : (target > 0 ? (good / target) * 100 : 0);
+    efficiencyData.push(Math.min(eff, 100));
+
+    const total = good + scrap;
+    const quality = total > 0 ? (good / total) * 100 : 100;
+    qualityData.push(quality);
+});
+
+msg.graphData = {
+    labels: labels,
+    datasets: [
+        { label: 'OEE %', data: efficiencyData },  // Use efficiency as fallback
+        { label: 'Availability %', data: [] },
+        { label: 'Performance %', data: [] },
+        { label: 'Quality %', data: qualityData }
+    ]
+};
+
+delete msg.topic;
+delete msg.payload;
+
+return msg;'''
+
+# Update Format Graph Data function
+for node in flows:
+    if node.get('id') == 'format_graph_data_node_id':
+        node['func'] = new_format_func
+        print("✓ Updated Format Graph Data function to handle KPI data")
+        break
+
+with open('/home/mdares/.node-red/flows.json', 'w') as f:
+    json.dump(flows, f, indent=4)
+
+print("✓ flows.json updated")