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将时间戳映射到业务日键（{@code yyyyMMdd}）：在 {@code zoneId} 下若时刻早于当天 22:00，则业务日为该日历日；若为当天 22:00 及之后，则业务日为次日。\n */\n public static String calcBizDayKey(long timeMillis, ZoneId zoneId) {\n ZonedDateTime time = Instant.ofEpochMilli(timeMillis).atZone(zoneId);\n ZonedDateTime today22 = time.withHour(22).withMinute(0).withSecond(0).withNano(0);\n LocalDate bizDate = time.isBefore(today22)\n ? time.toLocalDate()\n : time.toLocalDate().plusDays(1);\n return bizDate.format(DateTimeFormatter.BASIC_ISO_DATE);\n }\n\n /**\n * 将每个时间戳在 {@code zoneId} 下转为「当天从 0 点起的秒数」，求和后除以个数（整数除法），再还原为 {@link LocalTime}；列表为空则返回 {@code null}。\n */\n public static LocalTime calculateAverageTime(List timestampsMillis, ZoneId zoneId) {\n if (timestampsMillis == null || timestampsMillis.isEmpty()) {\n return null;\n }\n long totalSeconds = 0;\n for (long timestamp : timestampsMillis) {\n LocalTime t = Instant.ofEpochMilli(timestamp).atZone(zoneId).toLocalTime();\n totalSeconds += t.toSecondOfDay();\n }\n long averageSeconds = totalSeconds / timestampsMillis.size();\n return LocalTime.ofSecondOfDay(averageSeconds);\n }\n\n /**\n * 遍历每条 {@link SleepRecordInput}：将 {@code sleepDetail} 按逗号拆成若干段，第 {@code i} 段表示从睡眠起点起第 {@code i} 分钟的阶段值。\n * 若某段无法解析为整数、或解析后阶段 {@code ≤1}（清醒），则该分钟不产生输出；否则生成一点，时刻为 {@code sleepStartMillis + i*60_000}，阶段为解析值。\n * 入参为 {@code null} 时返回空列表；单条记录为 {@code null}、或明细为空/空白则跳过该条。\n */\n private static List toSleepMinutes(List hfSleepRecords) {\n List out = new ArrayList<>();\n if (hfSleepRecords == null) {\n return out;\n }\n for (SleepRecordInput rec : hfSleepRecords) {\n if (rec == null) {\n continue;\n }\n String sleepDetailStr = rec.sleepDetail();\n if (sleepDetailStr == null || sleepDetailStr.isBlank()) {\n continue;\n }\n String[] parts = sleepDetailStr.split(\",\");\n if (parts.length == 0) {\n continue;\n }\n for (int i = 0; i < parts.length; i++) {\n Integer stage = parseIntOrNull(parts[i]);\n if (stage == null) {\n continue;\n }\n if (stage <= 1) {\n continue;\n }\n long t = rec.sleepStartMillis() + i * 60_000L;\n out.add(new SleepMinute(t, stage));\n }\n }\n return out;\n }\n\n private static Integer parseIntOrNull(String raw) {\n if (raw == null) {\n return null;\n }\n String s = raw.trim();\n if (s.isEmpty()) {\n return null;\n }\n try {\n return Integer.parseInt(s);\n } catch (NumberFormatException e) {\n return null;\n }\n }\n\n /**\n * 先经 {@code toSleepMinutes} 得到分钟级采样点，再按 {@link #calcBizDayKey(long, ZoneId)} 归入业务日。\n * 每个业务日内仅保留 {@code stage>1} 的点并按时间排序，统计浅睡（{@code 2–6}）分钟数、深睡（{@code 7}）分钟数及二者之和；\n * 日内入睡时刻取该组最早时间戳，起床时刻取最晚时间戳。再对各业务日的浅睡、深睡、总时长分别求算术平均（分钟，向零取整），\n * 对入睡、起床时间戳列表调用 {@link #calculateAverageTime(List, ZoneId)} 得到平均钟点。无有效点时返回全 0 且钟点为 {@code null}。\n */\n public static SleepStatsResult sleepStats(List hfSleepRecords, ZoneId zoneId) {\n Objects.requireNonNull(zoneId, \"zoneId\");\n List sleepDetailVo = toSleepMinutes(hfSleepRecords);\n if (sleepDetailVo.isEmpty()) {\n return new SleepStatsResult(0, 0, 0, null, null);\n }\n LinkedHashMap> byDay = sleepDetailVo.stream()\n .collect(Collectors.groupingBy(\n m -> calcBizDayKey(m.timeMillis(), zoneId),\n LinkedHashMap::new,\n Collectors.toList()\n ));\n List lightSleepList = new ArrayList<>();\n List deepSleepList = new ArrayList<>();\n List totalSleepList = new ArrayList<>();\n List sleepTimeList = new ArrayList<>();\n List wakeTimeList = new ArrayList<>();\n for (String dayKey : byDay.keySet()) {\n List dayPoints = byDay.get(dayKey).stream()\n .filter(m -> m.stage() > 1)\n .sorted(Comparator.comparingLong(SleepMinute::timeMillis))\n .toList();\n List stages = dayPoints.stream().map(SleepMinute::stage).toList();\n long lightSleep = stages.stream().filter(s -> s >= 2 && s <= 6).count();\n lightSleepList.add((int) lightSleep);\n long deepSleep = stages.stream().filter(s -> s == 7).count();\n deepSleepList.add((int) deepSleep);\n long totalSleep = lightSleep + deepSleep;\n totalSleepList.add((int) totalSleep);\n dayPoints.stream().findFirst().ifPresent(m -> sleepTimeList.add(m.timeMillis()));\n dayPoints.stream().reduce((a, b) -> b).ifPresent(m -> wakeTimeList.add(m.timeMillis()));\n }\n int avgLight = (int) lightSleepList.stream().mapToInt(Integer::intValue).average().orElse(0);\n int avgDeep = (int) deepSleepList.stream().mapToInt(Integer::intValue).average().orElse(0);\n int avgTotal = (int) totalSleepList.stream().mapToInt(Integer::intValue).average().orElse(0);\n return new SleepStatsResult(\n avgLight,\n avgDeep,\n avgTotal,\n calculateAverageTime(sleepTimeList, zoneId),\n calculateAverageTime(wakeTimeList, zoneId)\n );\n }\n\n /**\n * 构造示例 {@link SleepRecordInput} 并打印 {@link #sleepStats(List, ZoneId)} 结果。\n */\n public static void main(String[] args) {\n List hfSleepRecords = List.of(\n SleepRecordInput.of(\"2026-04-17 02:49:00+08\", \"0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\"),\n SleepRecordInput.of(\"2026-04-17 03:08:00+08\", \"0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,2\"),\n SleepRecordInput.of(\"2026-04-17 03:36:00+08\", \"3,3,3,3,4,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,6,6,6,6,6,6,6\"),\n SleepRecordInput.of(\"2026-04-17 04:05:00+08\", \"6,6,6,6,6,6,6,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7\"),\n SleepRecordInput.of(\"2026-04-17 04:32:00+08\", \"7,7,7,7,7,7,7,6,5,5,5,5,5,5,5,5,5,6,6,5,3,3,3,3,3,4,4,3\"),\n SleepRecordInput.of(\"2026-04-17 05:00:00+08\", \"2,2,3,3,3,3,3,4,4,4,4,4,5,5,5,5,5,5,6,6,6,6,6,6,6,6,6,6\"),\n SleepRecordInput.of(\"2026-04-17 05:29:00+08\", \"6,6,6,6,7,7,7,7,7,7,7,7,7,7,7,7,6,6,6,6,6,6,6,6,6,6,4\"),\n SleepRecordInput.of(\"2026-04-17 05:56:00+08\", \"2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\"),\n SleepRecordInput.of(\"2026-04-17 06:24:00+08\", \"0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,2,3,3,3,3,4,4,4,4,4,4,4,4\"),\n SleepRecordInput.of(\"2026-04-17 06:52:00+08\", \"4,4,4,4,4,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\"),\n SleepRecordInput.of(\"2026-04-17 07:21:00+08\", \"0,1,1,1,1,1,2,2,2,2,2,3,3,3,3,3,3,3,4,4,4,4,4,4,4,4,5\"),\n SleepRecordInput.of(\"2026-04-17 07:48:00+08\", \"4,4,4,4,4,2,2,2,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\"),\n SleepRecordInput.of(\"2026-04-17 08:16:00+08\", \"0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,2,2,2,2,2,3,3\"),\n SleepRecordInput.of(\"2026-04-17 08:45:00+08\", \"3,3,3,3,3,4,4,4,4,4,4,4,4,5,5,5,3,3,3,3,3,3,3,4,4,4,4\"),\n SleepRecordInput.of(\"2026-04-17 09:12:00+08\", \"4,5,5,5,5,5,4,4,4,4,4,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0\"),\n SleepRecordInput.of(\"2026-04-17 09:40:00+08\", \"0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\")\n );\n SleepStatsResult stats = sleepStats(hfSleepRecords, ZoneId.of(\"Asia/Shanghai\"));\n System.out.println(stats);\n 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