Spaces:
Running
Running
File size: 8,719 Bytes
35527e2 bccd229 35527e2 bccd229 7f733b0 35527e2 7f733b0 bccd229 35527e2 b10734b 3b7869d b10734b 3b7869d b10734b 3b7869d 35527e2 b10734b 3b7869d bccd229 35527e2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 |
import type { Activity, MetricACWRData } from '@/types';
/**
* Format date to YYYY-MM-DD in local timezone (not UTC)
*/
function formatDateLocal(date: Date): string {
const year = date.getFullYear();
const month = String(date.getMonth() + 1).padStart(2, '0');
const day = String(date.getDate()).padStart(2, '0');
return `${year}-${month}-${day}`;
}
/**
* Calculate ACWR for a specific metric (distance, duration, or TSS)
* @param activities - Array of activities
* @param metricExtractor - Function to extract the metric value from an activity
* @param dateRange - Optional date range to maintain consistency
*/
export function calculateMetricACWR(
activities: Activity[],
metricExtractor: (activity: Activity) => number | undefined,
dateRange?: { start: Date; end: Date },
targetACWR: number = 1.3
): MetricACWRData {
if (activities.length === 0 && !dateRange) {
return {
dates: [],
values: [],
average7d: [],
average28d: [],
acwr: [],
};
}
// Sort activities by date
const sortedActivities = [...activities].sort((a, b) => a.date.getTime() - b.date.getTime());
// Get date range
const startDate = dateRange?.start || (sortedActivities.length > 0 ? new Date(sortedActivities[0].date) : new Date());
const endDate = dateRange?.end || (sortedActivities.length > 0 ? new Date(sortedActivities[sortedActivities.length - 1].date) : new Date());
// Create a map of date -> daily sum
const dailyValues = new Map<string, number>();
// Create a map of date -> activities
const activitiesByDate = new Map<string, Activity[]>();
sortedActivities.forEach(activity => {
const dateStr = formatDateLocal(activity.date);
const value = metricExtractor(activity);
if (value !== undefined) {
dailyValues.set(dateStr, (dailyValues.get(dateStr) || 0) + value);
}
// Group activities by date
if (!activitiesByDate.has(dateStr)) {
activitiesByDate.set(dateStr, []);
}
activitiesByDate.get(dateStr)!.push(activity);
});
const dates: string[] = [];
const values: (number | null)[] = [];
const average7d: (number | null)[] = [];
const average28d: (number | null)[] = [];
const acwr: (number | null)[] = [];
// Generate all dates in range
const allDates: Date[] = [];
for (let d = new Date(startDate); d <= endDate; d.setDate(d.getDate() + 1)) {
allDates.push(new Date(d));
}
// Calculate for each date
allDates.forEach((date, index) => {
const dateStr = formatDateLocal(date);
dates.push(dateStr);
// Get daily value
const dailyValue = dailyValues.get(dateStr) || null;
values.push(dailyValue);
// Calculate 7-day rolling average (acute load)
let acuteSum = 0;
let acuteCount = 0;
for (let i = Math.max(0, index - 6); i <= index; i++) {
const checkDateStr = formatDateLocal(allDates[i]);
const val = dailyValues.get(checkDateStr);
if (val !== undefined) {
acuteSum += val;
acuteCount++;
}
}
const acuteAvg = acuteCount > 0 ? acuteSum / 7 : null;
average7d.push(acuteAvg);
// Calculate 28-day rolling average
let chronicSum = 0;
let chronicCount = 0;
for (let i = Math.max(0, index - 27); i <= index; i++) {
const checkDateStr = formatDateLocal(allDates[i]);
const val = dailyValues.get(checkDateStr);
if (val !== undefined) {
chronicSum += val;
chronicCount++;
}
}
const chronicAvg = chronicCount > 0 ? chronicSum / 28 : null;
average28d.push(chronicAvg);
// Calculate ACWR (need at least 28 days of data)
if (index < 27) {
acwr.push(null);
return;
}
// For ACWR, use the full 28-day sum (not average)
let acwrChronicSum = 0;
for (let i = index - 27; i <= index; i++) {
const checkDateStr = formatDateLocal(allDates[i]);
const val = dailyValues.get(checkDateStr);
if (val !== undefined) {
acwrChronicSum += val;
}
}
const acwrChronicAvg = acwrChronicSum / 28;
// Calculate ACWR
if (acwrChronicAvg > 0 && acuteAvg !== null) {
acwr.push(acuteAvg / acwrChronicAvg);
} else {
acwr.push(null);
}
});
// Calculate tomorrow's required value to reach ACWR
let targetTomorrowValue: number | null = null;
if (allDates.length >= 28) {
// Calculate tomorrow's 7-day acute sum (last 6 days including zeros)
let tomorrowAcuteSum = 0;
for (let i = allDates.length - 6; i < allDates.length; i++) {
const checkDateStr = formatDateLocal(allDates[i]);
const val = dailyValues.get(checkDateStr) || 0; // Include 0 for rest days
tomorrowAcuteSum += val;
}
// Calculate tomorrow's 28-day chronic sum (last 27 days including zeros)
let tomorrowChronicSum = 0;
for (let i = allDates.length - 27; i < allDates.length; i++) {
const checkDateStr = formatDateLocal(allDates[i]);
const val = dailyValues.get(checkDateStr) || 0; // Include 0 for rest days
tomorrowChronicSum += val;
}
// Solve for tomorrow's value (X):
// Tomorrow's ACWR = [(tomorrowAcuteSum + X) / 7] / [(tomorrowChronicSum + X) / 28]
// Simplifies to: targetACWR = (tomorrowAcuteSum + X) / (tomorrowChronicSum + X) * 28 / 7
// targetACWR = (tomorrowAcuteSum + X) / (tomorrowChronicSum + X) * 4
// targetACWR * (tomorrowChronicSum + X) = 4 * (tomorrowAcuteSum + X)
// targetACWR * tomorrowChronicSum + targetACWR * X = 4 * tomorrowAcuteSum + 4 * X
// targetACWR * X - 4 * X = 4 * tomorrowAcuteSum - targetACWR * tomorrowChronicSum
// X * (targetACWR - 4) = 4 * tomorrowAcuteSum - targetACWR * tomorrowChronicSum
// X = (4 * tomorrowAcuteSum - targetACWR * tomorrowChronicSum) / (targetACWR - 4)
const numerator = 4 * tomorrowAcuteSum - targetACWR * tomorrowChronicSum;
const denominator = targetACWR - 4;
if (Math.abs(denominator) > 0.001) {
targetTomorrowValue = numerator / denominator;
// If negative and target ACWR < 1.0, set to 0 (rest day recommended)
// If negative and target ACWR >= 1.0, set to null (target unreachable)
if (targetTomorrowValue < 0) {
if (targetACWR < 1.0) {
targetTomorrowValue = 0;
} else {
targetTomorrowValue = null;
}
}
} else {
// Special case: targetACWR ≈ 4, need different approach
// If ACWR = 4, then acute = 4 * chronic, which means you need massive increase
targetTomorrowValue = null;
}
}
// Calculate what ACWR would be with a rest day tomorrow
let restTomorrowACWR: number | null = null;
if (allDates.length >= 28) {
// Calculate tomorrow's 7-day acute sum with rest (last 6 days + 0)
let tomorrowAcuteSum = 0;
for (let i = allDates.length - 6; i < allDates.length; i++) {
const checkDateStr = formatDateLocal(allDates[i]);
const val = dailyValues.get(checkDateStr) || 0;
tomorrowAcuteSum += val;
}
// Add 0 for rest day (no need to add)
// Calculate tomorrow's 28-day chronic sum with rest (last 27 days + 0)
let tomorrowChronicSum = 0;
for (let i = allDates.length - 27; i < allDates.length; i++) {
const checkDateStr = formatDateLocal(allDates[i]);
const val = dailyValues.get(checkDateStr) || 0;
tomorrowChronicSum += val;
}
// Add 0 for rest day (no need to add)
// Calculate ACWR with rest day
const tomorrowAcuteAvg = tomorrowAcuteSum / 7;
const tomorrowChronicAvg = tomorrowChronicSum / 28;
if (tomorrowChronicAvg > 0) {
restTomorrowACWR = tomorrowAcuteAvg / tomorrowChronicAvg;
}
}
return {
dates,
values,
average7d,
average28d,
acwr,
targetTomorrowValue,
targetACWR: allDates.length >= 28 ? targetACWR : undefined,
restTomorrowACWR: allDates.length >= 28 ? restTomorrowACWR : undefined,
todayValue: undefined,
activitiesByDate,
};
}
|