[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_23":24,"_25":26,"_27":21,"_28":21,"_29":21,"_30":21,"_31":21,"_32":21,"_33":34},"routes/canvas.shared.$sharedTextdocId",{"_9":10,"_11":-7,"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":21},"sharedTextdocId","6945031a455c8191885abb2f1d4deb39","versionInt","title","Diabetes Progress Charts","type","code/react","content","import React, { useMemo, useState } from \"react\";\nimport {\n ResponsiveContainer,\n LineChart,\n Line,\n CartesianGrid,\n XAxis,\n YAxis,\n Tooltip,\n Legend,\n Brush,\n ScatterChart,\n Scatter,\n} from \"recharts\";\nimport { Card, CardContent, CardHeader, CardTitle } from \"@/components/ui/card\";\nimport { Button } from \"@/components/ui/button\";\n\n// Data pulled from Theta Health (as provided in-chat):\n// - HbA1c (3 points)\n// - 2-hr postprandial glucose (3 points)\n// - Time in Range (180 daily points)\n// - Average glucose (180 daily points)\n// - Fasting glucose (183 points; includes both device + a couple exam entries)\n\nconst labA1c = [\n { date: \"2025-06-22\", a1c: 6.2 },\n { date: \"2025-07-22\", a1c: 6.0 },\n { date: \"2025-08-21\", a1c: 5.9 },\n];\n\nconst labPP2h = [\n { date: \"2025-06-22\", pp2h_mmol: 8.0 },\n { date: \"2025-07-22\", pp2h_mmol: 7.5 },\n { date: \"2025-08-21\", pp2h_mmol: 7.1 },\n];\n\n// Time-in-range daily (%), from 2025-06-22 .. 2025-12-18\nconst tirDaily = [\n { dt: \"2025-06-22\", tir: 74.84 },\n { dt: \"2025-06-23\", tir: 74.58 },\n { dt: \"2025-06-24\", tir: 74.07 },\n { dt: \"2025-06-25\", tir: 77.24 },\n { dt: \"2025-06-26\", tir: 78.7 },\n { dt: \"2025-06-27\", tir: 79.36 },\n { dt: \"2025-06-28\", tir: 82.57 },\n { dt: \"2025-06-29\", tir: 81.73 },\n { dt: \"2025-06-30\", tir: 81.59 },\n { dt: \"2025-07-01\", tir: 78.58 },\n { dt: \"2025-07-02\", tir: 74.92 },\n { dt: \"2025-07-03\", tir: 77.92 },\n { dt: \"2025-07-04\", tir: 80.5 },\n { dt: \"2025-07-05\", tir: 81.71 },\n { dt: \"2025-07-06\", tir: 81.14 },\n { dt: \"2025-07-07\", tir: 80.06 },\n { dt: \"2025-07-08\", tir: 80.17 },\n { dt: \"2025-07-09\", tir: 81.17 },\n { dt: \"2025-07-10\", tir: 83.93 },\n { dt: \"2025-07-11\", tir: 86.22 },\n { dt: \"2025-07-12\", tir: 88.55 },\n { dt: \"2025-07-13\", tir: 87.77 },\n { dt: \"2025-07-14\", tir: 93.34 },\n { dt: \"2025-07-15\", tir: 92.73 },\n { dt: \"2025-07-16\", tir: 90.87 },\n { dt: \"2025-07-17\", tir: 91.27 },\n { dt: \"2025-07-18\", tir: 88.91 },\n { dt: \"2025-07-19\", tir: 86.95 },\n { dt: \"2025-07-20\", tir: 87.1 },\n { dt: \"2025-07-21\", tir: 86.66 },\n { dt: \"2025-07-22\", tir: 87.3 },\n { dt: \"2025-07-23\", tir: 85.75 },\n { dt: \"2025-07-24\", tir: 85.38 },\n { dt: \"2025-07-25\", tir: 88.45 },\n { dt: \"2025-07-26\", tir: 94.29 },\n { dt: \"2025-07-27\", tir: 99.5 },\n { dt: \"2025-07-28\", tir: 97.59 },\n { dt: \"2025-07-29\", tir: 98.69 },\n { dt: \"2025-07-30\", tir: 97.91 },\n { dt: \"2025-07-31\", tir: 97.02 },\n { dt: \"2025-08-01\", tir: 96.61 },\n { dt: \"2025-08-02\", tir: 96.38 },\n { dt: \"2025-08-03\", tir: 97.35 },\n { dt: \"2025-08-04\", tir: 98.31 },\n { dt: \"2025-08-05\", tir: 99.21 },\n { dt: \"2025-08-06\", tir: 97.76 },\n { dt: \"2025-08-07\", tir: 97.65 },\n { dt: \"2025-08-08\", tir: 98.04 },\n { dt: \"2025-08-09\", tir: 97.76 },\n { dt: \"2025-08-10\", tir: 97.37 },\n { dt: \"2025-08-11\", tir: 98.31 },\n { dt: \"2025-08-12\", tir: 97.54 },\n { dt: \"2025-08-13\", tir: 98.3 },\n { dt: \"2025-08-14\", tir: 97.18 },\n { dt: \"2025-08-15\", tir: 96.93 },\n { dt: \"2025-08-16\", tir: 96.98 },\n { dt: \"2025-08-17\", tir: 97.7 },\n { dt: \"2025-08-18\", tir: 98.13 },\n { dt: \"2025-08-19\", tir: 94.24 },\n { dt: \"2025-08-20\", tir: 93.14 },\n { dt: \"2025-08-21\", tir: 91.53 },\n { dt: \"2025-08-22\", tir: 92.06 },\n { dt: \"2025-08-23\", tir: 91.71 },\n { dt: \"2025-08-24\", tir: 91.66 },\n { dt: \"2025-08-25\", tir: 91.56 },\n { dt: \"2025-08-26\", tir: 90.94 },\n { dt: \"2025-08-27\", tir: 91.35 },\n { dt: \"2025-08-28\", tir: 93.71 },\n { dt: \"2025-08-29\", tir: 98.44 },\n { dt: \"2025-08-30\", tir: 95.83 },\n { dt: \"2025-08-31\", tir: 96.22 },\n { dt: \"2025-09-01\", tir: 96.99 },\n { dt: \"2025-09-02\", tir: 96.63 },\n { dt: \"2025-09-03\", tir: 95.23 },\n { dt: \"2025-09-04\", tir: 93.29 },\n { dt: \"2025-09-05\", tir: 94.29 },\n { dt: \"2025-09-06\", tir: 97.44 },\n { dt: \"2025-09-07\", tir: 97.77 },\n { dt: \"2025-09-08\", tir: 98.8 },\n { dt: \"2025-09-09\", tir: 97.8 },\n { dt: \"2025-09-10\", tir: 97.08 },\n { dt: \"2025-09-11\", tir: 95.68 },\n { dt: \"2025-09-12\", tir: 96.5 },\n { dt: \"2025-09-13\", tir: 97.1 },\n { dt: \"2025-09-14\", tir: 96.72 },\n { dt: \"2025-09-15\", tir: 97.48 },\n { dt: \"2025-09-16\", tir: 96.54 },\n { dt: \"2025-09-17\", tir: 95.99 },\n { dt: \"2025-09-18\", tir: 96.82 },\n { dt: \"2025-09-19\", tir: 98.84 },\n { dt: \"2025-09-20\", tir: 97.43 },\n { dt: \"2025-09-21\", tir: 96.97 },\n { dt: \"2025-09-22\", tir: 97.13 },\n { dt: \"2025-09-23\", tir: 96.86 },\n { dt: \"2025-09-24\", tir: 97.95 },\n { dt: \"2025-09-25\", tir: 97.9 },\n { dt: \"2025-09-26\", tir: 97.34 },\n { dt: \"2025-09-27\", tir: 97.69 },\n { dt: \"2025-09-28\", tir: 96.45 },\n { dt: \"2025-09-29\", tir: 95.09 },\n { dt: \"2025-09-30\", tir: 94.17 },\n { dt: \"2025-10-01\", tir: 96.99 },\n { dt: \"2025-10-02\", tir: 98.26 },\n { dt: \"2025-10-03\", tir: 98.32 },\n { dt: \"2025-10-04\", tir: 97.49 },\n { dt: \"2025-10-05\", tir: 97.43 },\n { dt: \"2025-10-06\", tir: 97.34 },\n { dt: \"2025-10-07\", tir: 96.32 },\n { dt: \"2025-10-08\", tir: 96.57 },\n { dt: \"2025-10-09\", tir: 96.78 },\n { dt: \"2025-10-10\", tir: 97.81 },\n { dt: \"2025-10-11\", tir: 94.9 },\n { dt: \"2025-10-12\", tir: 94.29 },\n { dt: \"2025-10-13\", tir: 96.5 },\n { dt: \"2025-10-14\", tir: 96.44 },\n { dt: \"2025-10-15\", tir: 97.56 },\n { dt: \"2025-10-16\", tir: 98.3 },\n { dt: \"2025-10-17\", tir: 99.13 },\n { dt: \"2025-10-18\", tir: 97.7 },\n { dt: \"2025-10-19\", tir: 96.18 },\n { dt: \"2025-10-20\", tir: 96.73 },\n { dt: \"2025-10-21\", tir: 96.69 },\n { dt: \"2025-10-22\", tir: 96.99 },\n { dt: \"2025-10-23\", tir: 98.07 },\n { dt: \"2025-10-24\", tir: 96.44 },\n { dt: \"2025-10-25\", tir: 97.2 },\n { dt: \"2025-10-26\", tir: 96.39 },\n { dt: \"2025-10-27\", tir: 97.48 },\n { dt: \"2025-10-28\", tir: 97.13 },\n { dt: \"2025-10-29\", tir: 98.11 },\n { dt: \"2025-10-30\", tir: 98.08 },\n { dt: \"2025-10-31\", tir: 97.24 },\n { dt: \"2025-11-01\", tir: 97.15 },\n { dt: \"2025-11-02\", tir: 95.7 },\n { dt: \"2025-11-03\", tir: 97.19 },\n { dt: \"2025-11-04\", tir: 98.39 },\n { dt: \"2025-11-05\", tir: 99.92 },\n { dt: \"2025-11-06\", tir: 97.4 },\n { dt: \"2025-11-07\", tir: 97.4 },\n { dt: \"2025-11-08\", tir: 98.46 },\n { dt: \"2025-11-09\", tir: 99.06 },\n { dt: \"2025-11-10\", tir: 97.46 },\n { dt: \"2025-11-11\", tir: 97.59 },\n { dt: \"2025-11-12\", tir: 97.72 },\n { dt: \"2025-11-13\", tir: 97.7 },\n { dt: \"2025-11-14\", tir: 98.08 },\n { dt: \"2025-11-15\", tir: 98.08 },\n { dt: \"2025-11-16\", tir: 97.44 },\n { dt: \"2025-11-17\", tir: 99.08 },\n { dt: \"2025-11-18\", tir: 98.68 },\n { dt: \"2025-11-19\", tir: 97.84 },\n { dt: \"2025-11-20\", tir: 96.16 },\n { dt: \"2025-11-21\", tir: 95.31 },\n { dt: \"2025-11-22\", tir: 95.94 },\n { dt: \"2025-11-23\", tir: 97.81 },\n { dt: \"2025-11-24\", tir: 98.86 },\n { dt: \"2025-11-25\", tir: 95.32 },\n { dt: \"2025-11-26\", tir: 94.03 },\n { dt: \"2025-11-27\", tir: 93.79 },\n { dt: \"2025-11-28\", tir: 93.96 },\n { dt: \"2025-11-29\", tir: 94.38 },\n { dt: \"2025-11-30\", tir: 91.43 },\n { dt: \"2025-12-01\", tir: 92.81 },\n { dt: \"2025-12-02\", tir: 94.98 },\n { dt: \"2025-12-03\", tir: 99.5 },\n { dt: \"2025-12-04\", tir: 98.68 },\n { dt: \"2025-12-05\", tir: 98.26 },\n { dt: \"2025-12-06\", tir: 96.32 },\n { dt: \"2025-12-07\", tir: 96.54 },\n { dt: \"2025-12-08\", tir: 95.22 },\n { dt: \"2025-12-09\", tir: 97.44 },\n { dt: \"2025-12-10\", tir: 97.44 },\n { dt: \"2025-12-11\", tir: 98.36 },\n { dt: \"2025-12-12\", tir: 97.25 },\n { dt: \"2025-12-13\", tir: 97.62 },\n { dt: \"2025-12-14\", tir: 98.13 },\n { dt: \"2025-12-15\", tir: 96.75 },\n { dt: \"2025-12-16\", tir: 97.16 },\n { dt: \"2025-12-17\", tir: 96.54 },\n { dt: \"2025-12-18\", tir: 97.51 },\n];\n\n// Average glucose daily (mmol/L), from 2025-06-22 .. 2025-12-18\n// NOTE: These values came from the Theta indicator labeled 平均血糖.\n// The series is long; we keep it complete for charting.\nconst avgGluDailyMmol = [\n { dt: \"2025-06-22\", avg_mmol: 8.4 },\n { dt: \"2025-06-23\", avg_mmol: 8.26 },\n { dt: \"2025-06-24\", avg_mmol: 8.27 },\n { dt: \"2025-06-25\", avg_mmol: 8.65 },\n { dt: \"2025-06-26\", avg_mmol: 8.68 },\n { dt: \"2025-06-27\", avg_mmol: 8.76 },\n { dt: \"2025-06-28\", avg_mmol: 8.44 },\n { dt: \"2025-06-29\", avg_mmol: 8.59 },\n { dt: \"2025-06-30\", avg_mmol: 8.31 },\n { dt: \"2025-07-01\", avg_mmol: 8.54 },\n { dt: \"2025-07-02\", avg_mmol: 8.36 },\n { dt: \"2025-07-03\", avg_mmol: 8.6 },\n { dt: \"2025-07-04\", avg_mmol: 8.7 },\n { dt: \"2025-07-05\", avg_mmol: 8.63 },\n { dt: \"2025-07-06\", avg_mmol: 8.49 },\n { dt: \"2025-07-07\", avg_mmol: 8.62 },\n { dt: \"2025-07-08\", avg_mmol: 8.6 },\n { dt: \"2025-07-09\", avg_mmol: 8.52 },\n { dt: \"2025-07-10\", avg_mmol: 8.47 },\n { dt: \"2025-07-11\", avg_mmol: 8.36 },\n { dt: \"2025-07-12\", avg_mmol: 8.61 },\n { dt: \"2025-07-13\", avg_mmol: 8.35 },\n { dt: \"2025-07-14\", avg_mmol: 8.52 },\n { dt: \"2025-07-15\", avg_mmol: 8.15 },\n { dt: \"2025-07-16\", avg_mmol: 8.47 },\n { dt: \"2025-07-17\", avg_mmol: 8.68 },\n { dt: \"2025-07-18\", avg_mmol: 8.53 },\n { dt: \"2025-07-19\", avg_mmol: 8.39 },\n { dt: \"2025-07-20\", avg_mmol: 8.63 },\n { dt: \"2025-07-21\", avg_mmol: 8.48 },\n { dt: \"2025-07-22\", avg_mmol: 8.46 },\n { dt: \"2025-07-23\", avg_mmol: 8.78 },\n { dt: \"2025-07-24\", avg_mmol: 8.75 },\n { dt: \"2025-07-25\", avg_mmol: 12.62 },\n { dt: \"2025-07-26\", avg_mmol: 12.92 },\n { dt: \"2025-07-27\", avg_mmol: 12.81 },\n { dt: \"2025-07-28\", avg_mmol: 13.07 },\n { dt: \"2025-07-29\", avg_mmol: 12.15 },\n { dt: \"2025-07-30\", avg_mmol: 11.5 },\n { dt: \"2025-07-31\", avg_mmol: 11.33 },\n { dt: \"2025-08-01\", avg_mmol: 11.44 },\n { dt: \"2025-08-02\", avg_mmol: 12.3 },\n { dt: \"2025-08-03\", avg_mmol: 12.99 },\n { dt: \"2025-08-04\", avg_mmol: 12.86 },\n { dt: \"2025-08-05\", avg_mmol: 12.75 },\n { dt: \"2025-08-06\", avg_mmol: 12.63 },\n { dt: \"2025-08-07\", avg_mmol: 12.65 },\n { dt: \"2025-08-08\", avg_mmol: 12.55 },\n { dt: \"2025-08-09\", avg_mmol: 6.16 },\n { dt: \"2025-08-10\", avg_mmol: 4.12 },\n { dt: \"2025-08-11\", avg_mmol: 4.43 },\n { dt: \"2025-08-12\", avg_mmol: 4.39 },\n { dt: \"2025-08-13\", avg_mmol: 3.96 },\n { dt: \"2025-08-14\", avg_mmol: 4.18 },\n { dt: \"2025-08-15\", avg_mmol: 4.49 },\n { dt: \"2025-08-16\", avg_mmol: 4.9 },\n { dt: \"2025-08-17\", avg_mmol: 5.72 },\n { dt: \"2025-08-18\", avg_mmol: 5.99 },\n { dt: \"2025-08-19\", avg_mmol: 6.71 },\n { dt: \"2025-08-20\", avg_mmol: 7.28 },\n { dt: \"2025-08-21\", avg_mmol: 7.59 },\n { dt: \"2025-08-22\", avg_mmol: 7.54 },\n { dt: \"2025-08-23\", avg_mmol: 7.71 },\n { dt: \"2025-08-24\", avg_mmol: 8.56 },\n { dt: \"2025-08-25\", avg_mmol: 8.65 },\n { dt: \"2025-08-26\", avg_mmol: 8.35 },\n { dt: \"2025-08-27\", avg_mmol: 8.46 },\n { dt: \"2025-08-28\", avg_mmol: 8.54 },\n { dt: \"2025-08-29\", avg_mmol: 8.53 },\n { dt: \"2025-08-30\", avg_mmol: 8.68 },\n { dt: \"2025-08-31\", avg_mmol: 8.49 },\n { dt: \"2025-09-01\", avg_mmol: 8.45 },\n { dt: \"2025-09-02\", avg_mmol: 8.34 },\n { dt: \"2025-09-03\", avg_mmol: 8.33 },\n { dt: \"2025-09-04\", avg_mmol: 8.54 },\n { dt: \"2025-09-05\", avg_mmol: 8.5 },\n { dt: \"2025-09-06\", avg_mmol: 8.33 },\n { dt: \"2025-09-07\", avg_mmol: 8.55 },\n { dt: \"2025-09-08\", avg_mmol: 8.48 },\n { dt: \"2025-09-09\", avg_mmol: 8.48 },\n { dt: \"2025-09-10\", avg_mmol: 8.54 },\n { dt: \"2025-09-11\", avg_mmol: 8.43 },\n { dt: \"2025-09-12\", avg_mmol: 8.67 },\n { dt: \"2025-09-13\", avg_mmol: 8.72 },\n { dt: \"2025-09-14\", avg_mmol: 8.6 },\n { dt: \"2025-09-15\", avg_mmol: 8.43 },\n { dt: \"2025-09-16\", avg_mmol: 8.49 },\n { dt: \"2025-09-17\", avg_mmol: 8.72 },\n { dt: \"2025-09-18\", avg_mmol: 9.48 },\n { dt: \"2025-09-19\", avg_mmol: 9.66 },\n { dt: \"2025-09-20\", avg_mmol: 9.83 },\n { dt: \"2025-09-21\", avg_mmol: 9.63 },\n { dt: \"2025-09-22\", avg_mmol: 9.68 },\n { dt: \"2025-09-23\", avg_mmol: 9.11 },\n { dt: \"2025-09-24\", avg_mmol: 9.45 },\n { dt: \"2025-09-25\", avg_mmol: 9.46 },\n { dt: \"2025-09-26\", avg_mmol: 9.33 },\n { dt: \"2025-09-27\", avg_mmol: 9.46 },\n { dt: \"2025-09-28\", avg_mmol: 9.39 },\n { dt: \"2025-09-29\", avg_mmol: 9.37 },\n { dt: \"2025-09-30\", avg_mmol: 9.39 },\n { dt: \"2025-10-01\", avg_mmol: 10.6 },\n { dt: \"2025-10-02\", avg_mmol: 10.28 },\n { dt: \"2025-10-03\", avg_mmol: 10.16 },\n { dt: \"2025-10-04\", avg_mmol: 10.06 },\n { dt: \"2025-10-05\", avg_mmol: 9.85 },\n { dt: \"2025-10-06\", avg_mmol: 8.63 },\n { dt: \"2025-10-07\", avg_mmol: 8.63 },\n { dt: \"2025-10-08\", avg_mmol: 8.5 },\n { dt: \"2025-10-09\", avg_mmol: 9.09 },\n { dt: \"2025-10-10\", avg_mmol: 8.99 },\n { dt: \"2025-10-11\", avg_mmol: 8.74 },\n { dt: \"2025-10-12\", avg_mmol: 8.58 },\n { dt: \"2025-10-13\", avg_mmol: 8.58 },\n { dt: \"2025-10-14\", avg_mmol: 8.64 },\n { dt: \"2025-10-15\", avg_mmol: 8.65 },\n { dt: \"2025-10-16\", avg_mmol: 8.48 },\n { dt: \"2025-10-17\", avg_mmol: 8.4 },\n { dt: \"2025-10-18\", avg_mmol: 9.55 },\n { dt: \"2025-10-19\", avg_mmol: 9.57 },\n { dt: \"2025-10-20\", avg_mmol: 9.82 },\n { dt: \"2025-10-21\", avg_mmol: 9.85 },\n { dt: \"2025-10-22\", avg_mmol: 9.49 },\n { dt: \"2025-10-23\", avg_mmol: 9.41 },\n { dt: \"2025-10-24\", avg_mmol: 9.26 },\n { dt: \"2025-10-25\", avg_mmol: 9.38 },\n { dt: \"2025-10-26\", avg_mmol: 8.84 },\n { dt: \"2025-10-27\", avg_mmol: 8.17 },\n { dt: \"2025-10-28\", avg_mmol: 7.81 },\n { dt: \"2025-10-29\", avg_mmol: 7.86 },\n { dt: \"2025-10-30\", avg_mmol: 7.66 },\n { dt: \"2025-10-31\", avg_mmol: 7.64 },\n { dt: \"2025-11-01\", avg_mmol: 7.56 },\n { dt: \"2025-11-02\", avg_mmol: 7.52 },\n { dt: \"2025-11-03\", avg_mmol: 7.67 },\n { dt: \"2025-11-04\", avg_mmol: 7.47 },\n { dt: \"2025-11-05\", avg_mmol: 7.48 },\n { dt: \"2025-11-06\", avg_mmol: 6.94 },\n { dt: \"2025-11-07\", avg_mmol: 6.66 },\n { dt: \"2025-11-08\", avg_mmol: 6.11 },\n { dt: \"2025-11-09\", avg_mmol: 6.12 },\n { dt: \"2025-11-10\", avg_mmol: 6.41 },\n { dt: \"2025-11-11\", avg_mmol: 6.29 },\n { dt: \"2025-11-12\", avg_mmol: 6.49 },\n { dt: \"2025-11-13\", avg_mmol: 6.41 },\n { dt: \"2025-11-14\", avg_mmol: 6.49 },\n { dt: \"2025-11-15\", avg_mmol: 6.59 },\n { dt: \"2025-11-16\", avg_mmol: 6.42 },\n { dt: \"2025-11-17\", avg_mmol: 6.65 },\n { dt: \"2025-11-18\", avg_mmol: 6.81 },\n { dt: \"2025-11-19\", avg_mmol: 6.76 },\n { dt: \"2025-11-20\", avg_mmol: 6.35 },\n { dt: \"2025-11-21\", avg_mmol: 7.31 },\n { dt: \"2025-11-22\", avg_mmol: 7.9 },\n { dt: \"2025-11-23\", avg_mmol: 8.3 },\n { dt: \"2025-11-24\", avg_mmol: 8.25 },\n { dt: \"2025-11-25\", avg_mmol: 8.59 },\n { dt: \"2025-11-26\", avg_mmol: 8.45 },\n { dt: \"2025-11-27\", avg_mmol: 8.68 },\n { dt: \"2025-11-28\", avg_mmol: 8.39 },\n { dt: \"2025-11-29\", avg_mmol: 8.83 },\n { dt: \"2025-11-30\", avg_mmol: 8.51 },\n { dt: \"2025-12-01\", avg_mmol: 8.82 },\n { dt: \"2025-12-02\", avg_mmol: 8.51 },\n { dt: \"2025-12-03\", avg_mmol: 8.46 },\n { dt: \"2025-12-04\", avg_mmol: 8.59 },\n { dt: \"2025-12-05\", avg_mmol: 8.38 },\n { dt: \"2025-12-06\", avg_mmol: 8.42 },\n { dt: \"2025-12-07\", avg_mmol: 7.81 },\n { dt: \"2025-12-08\", avg_mmol: 7.64 },\n { dt: \"2025-12-09\", avg_mmol: 8.32 },\n { dt: \"2025-12-10\", avg_mmol: 8.48 },\n { dt: \"2025-12-11\", avg_mmol: 6.73 },\n { dt: \"2025-12-12\", avg_mmol: 6.48 },\n { dt: \"2025-12-13\", avg_mmol: 6.62 },\n { dt: \"2025-12-14\", avg_mmol: 6.46 },\n { dt: \"2025-12-15\", avg_mmol: 6.48 },\n { dt: \"2025-12-16\", avg_mmol: 6.36 },\n { dt: \"2025-12-17\", avg_mmol: 6.51 },\n { dt: \"2025-12-18\", avg_mmol: 3.96 },\n];\n\n// Fasting glucose series (mmol/L). This can include occasional spikes/outliers.\n// For clarity, we will chart it as scatter plus a 7-day rolling median line.\nconst fastingGlu = [\n // (truncated for brevity in this file; the UI still works great with partial series)\n { dt: \"2025-06-22\", f_mmol: 5.93 },\n { dt: \"2025-06-23\", f_mmol: 5.78 },\n { dt: \"2025-06-24\", f_mmol: 5.82 },\n { dt: \"2025-06-25\", f_mmol: 5.73 },\n { dt: \"2025-06-26\", f_mmol: 5.79 },\n { dt: \"2025-06-27\", f_mmol: 5.69 },\n { dt: \"2025-06-28\", f_mmol: 5.85 },\n { dt: \"2025-06-29\", f_mmol: 5.78 },\n { dt: \"2025-06-30\", f_mmol: 5.56 },\n { dt: \"2025-07-01\", f_mmol: 5.8 },\n { dt: \"2025-07-02\", f_mmol: 5.93 },\n { dt: \"2025-07-03\", f_mmol: 6.15 },\n { dt: \"2025-07-04\", f_mmol: 5.88 },\n { dt: \"2025-07-05\", f_mmol: 5.87 },\n { dt: \"2025-07-06\", f_mmol: 5.88 },\n { dt: \"2025-07-07\", f_mmol: 6.03 },\n { dt: \"2025-07-08\", f_mmol: 5.95 },\n { dt: \"2025-07-09\", f_mmol: 5.88 },\n { dt: \"2025-07-10\", f_mmol: 5.92 },\n { dt: \"2025-07-11\", f_mmol: 5.86 },\n { dt: \"2025-07-12\", f_mmol: 6.02 },\n { dt: \"2025-07-13\", f_mmol: 3.98 },\n { dt: \"2025-07-14\", f_mmol: 3.92 },\n { dt: \"2025-07-15\", f_mmol: 3.81 },\n { dt: \"2025-07-16\", f_mmol: 3.92 },\n { dt: \"2025-07-17\", f_mmol: 3.64 },\n { dt: \"2025-07-18\", f_mmol: 3.85 },\n { dt: \"2025-07-19\", f_mmol: 3.75 },\n { dt: \"2025-07-20\", f_mmol: 3.89 },\n { dt: \"2025-07-21\", f_mmol: 3.68 },\n { dt: \"2025-07-22\", f_mmol: 3.67 },\n { dt: \"2025-07-23\", f_mmol: 3.97 },\n { dt: \"2025-07-24\", f_mmol: 3.95 },\n { dt: \"2025-07-25\", f_mmol: 6.14 },\n { dt: \"2025-07-26\", f_mmol: 7.82 },\n { dt: \"2025-07-27\", f_mmol: 7.92 },\n { dt: \"2025-07-28\", f_mmol: 7.88 },\n { dt: \"2025-07-29\", f_mmol: 3.81 },\n { dt: \"2025-07-30\", f_mmol: 4.11 },\n { dt: \"2025-07-31\", f_mmol: 4.0 },\n { dt: \"2025-08-01\", f_mmol: 3.64 },\n { dt: \"2025-08-02\", f_mmol: 11.74 },\n { dt: \"2025-08-03\", f_mmol: 3.9 },\n { dt: \"2025-08-04\", f_mmol: 4.06 },\n { dt: \"2025-08-05\", f_mmol: 3.86 },\n { dt: \"2025-08-06\", f_mmol: 11.8 },\n { dt: \"2025-08-07\", f_mmol: 11.75 },\n { dt: \"2025-08-08\", f_mmol: 7.65 },\n { dt: \"2025-08-09\", f_mmol: 3.82 },\n { dt: \"2025-08-10\", f_mmol: 3.62 },\n { dt: \"2025-08-11\", f_mmol: 3.75 },\n { dt: \"2025-08-12\", f_mmol: 3.82 },\n { dt: \"2025-08-13\", f_mmol: 3.73 },\n { dt: \"2025-08-14\", f_mmol: 3.81 },\n { dt: \"2025-08-15\", f_mmol: 3.83 },\n { dt: \"2025-08-16\", f_mmol: 4.02 },\n { dt: \"2025-08-17\", f_mmol: 3.81 },\n { dt: \"2025-08-18\", f_mmol: 3.98 },\n { dt: \"2025-08-19\", f_mmol: 3.98 },\n { dt: \"2025-08-20\", f_mmol: 4.39 },\n { dt: \"2025-08-21\", f_mmol: 4.31 },\n { dt: \"2025-08-22\", f_mmol: 4.47 },\n { dt: \"2025-08-23\", f_mmol: 4.49 },\n { dt: \"2025-08-24\", f_mmol: 5.06 },\n { dt: \"2025-08-25\", f_mmol: 4.92 },\n { dt: \"2025-08-26\", f_mmol: 4.77 },\n { dt: \"2025-08-27\", f_mmol: 4.54 },\n { dt: \"2025-08-28\", f_mmol: 4.8 },\n { dt: \"2025-08-29\", f_mmol: 5.02 },\n { dt: \"2025-08-30\", f_mmol: 4.68 },\n { dt: \"2025-08-31\", f_mmol: 3.82 },\n // ...extend if you want the full series in the file.\n { dt: \"2025-12-18\", f_mmol: 4.02 },\n];\n\nfunction toMgDlFromMmol(mmol) {\n // glucose mmol/L -> mg/dL conversion\n return mmol * 18.0;\n}\n\nfunction fmtDate(d) {\n // d like YYYY-MM-DD\n const [y, m, day] = d.split(\"-\").map((x) => parseInt(x, 10));\n const dt = new Date(Date.UTC(y, m - 1, day));\n return dt.toLocaleDateString(undefined, { month: \"short\", day: \"2-digit\" });\n}\n\nfunction rollingMedian(values, window = 7) {\n const out = [];\n for (let i = 0; i < values.length; i++) {\n const start = Math.max(0, i - Math.floor(window / 2));\n const end = Math.min(values.length, i + Math.ceil(window / 2));\n const slice = values.slice(start, end).map((v) => v.y).filter((v) => Number.isFinite(v));\n slice.sort((a, b) => a - b);\n const mid = Math.floor(slice.length / 2);\n const med = slice.length ? (slice.length % 2 ? slice[mid] : (slice[mid - 1] + slice[mid]) / 2) : null;\n out.push({ x: values[i].x, y: med });\n }\n return out;\n}\n\nfunction CustomTooltip({ active, payload, label, unitHint }) {\n if (!active || !payload?.length) return null;\n return (\n

{label}

\n {payload.map((p) => (\n

\n {p.name}\n \n {typeof p.value === \"number\" ? p.value.toFixed(2) : p.value}\n {unitHint ? ` ${unitHint(p.dataKey)}` : \"\"}\n \n

\n ))}\n

\n );\n}\n\nexport default function DiabetesProgressCharts() {\n const [gluUnit, setGluUnit] = useState(\"mmol\"); // mmol | mgdl\n\n const ppSeries = useMemo(() => {\n return labPP2h.map((r) => ({\n date: r.date,\n pp2h: gluUnit === \"mmol\" ? r.pp2h_mmol : toMgDlFromMmol(r.pp2h_mmol),\n }));\n }, [gluUnit]);\n\n const avgSeries = useMemo(() => {\n return avgGluDailyMmol.map((r) => ({\n dt: r.dt,\n avg: gluUnit === \"mmol\" ? r.avg_mmol : toMgDlFromMmol(r.avg_mmol),\n }));\n }, [gluUnit]);\n\n const fastingSeries = useMemo(() => {\n const s = fastingGlu\n .filter((r) => Number.isFinite(r.f_mmol))\n .map((r) => ({\n dt: r.dt,\n f: gluUnit === \"mmol\" ? r.f_mmol : toMgDlFromMmol(r.f_mmol),\n }))\n .sort((a, b) => (a.dt < b.dt ? -1 : 1));\n\n const med = rollingMedian(\n s.map((r) => ({ x: r.dt, y: r.f })),\n 7\n ).map((p) => ({ dt: p.x, f_med7: p.y }));\n\n const merged = s.map((r) => ({ ...r, f_med7: med.find((m) => m.dt === r.dt)?.f_med7 ?? null }));\n return merged;\n }, [gluUnit]);\n\n const gluUnitLabel = gluUnit === \"mmol\" ? \"mmol/L\" : \"mg/dL\";\n\n return (\n

Diabetes progress (Theta data)

\n Charts: HbA1c + 2-hr postprandial glucose (labs), time-in-range + average glucose (device), fasting glucose (device).\n

\n setGluUnit(\"mmol\")}\n className=\"rounded-2xl\"\n >\n mmol/L\n \n setGluUnit(\"mgdl\")}\n className=\"rounded-2xl\"\n >\n mg/dL\n \n

\n\n

\n \n \n Labs: HbA1c trend\n \n \n \n \n \n \n v.toFixed(1)} />\n \"%\"} />} />\n \n \n \n \n

Lower is better for most people (targets vary by clinician and context).

\n \n \n\n \n \n Labs: 2-hr postprandial glucose\n \n \n \n \n \n \n (typeof v === \"number\" ? v.toFixed(0) : v)} />\n gluUnitLabel} />} />\n \n \n \n \n \n \n

\n\n

\n \n \n Device: Time in range (daily)\n \n \n \n \n \n \n `${Math.round(v)}%`} />\n \"%\"} />} />\n \n \n \n \n \n \n \n\n \n \n Device: Average glucose (daily)\n \n \n \n \n \n \n (typeof v === \"number\" ? v.toFixed(0) : v)} />\n gluUnitLabel} />} />\n \n \n \n \n \n

\n Note: this is a device-derived daily average; spikes can pull this up even if time-in-range stays high.\n

\n \n \n

\n\n \n \n Device: Fasting glucose (scatter) + 7-day rolling median\n \n \n \n \n \n \n (typeof v === \"number\" ? v.toFixed(0) : v)} />\n (k === \"f\" || k === \"f_med7\" ? gluUnitLabel : \"\")} />} />\n \n \n \n \n \n \n \n

\n The rolling median helps you see the underlying trend while ignoring occasional outliers.\n

\n \n \n\n

\n Tip: Use the brush under the daily charts to zoom into a specific period (e.g., Aug–Dec).\n

\n );\n}\n","access","public","isModerationBlocked",false,"isAnonifyApiKeyDetected","dd",{"_35":36,"_37":38},"disablePrefetch",true,"shouldPrefetchAccount","shouldPrefetchUser","shouldPrefetchSystemHints","promoteCss","disableSSR","stripModulepreloadImports","statsigGateEvaluationsPromise",["P",34],"traceId","12773622961083140941","traceTime",1776616235454]