Marc-André BombeckandClaude Opus 4.8 ea0d7681e2 feat(cycle): add deterministic prediction + phase engine ...

Pure, DB-free cycle prediction and phase-assignment engine under
src/lib/cycle/. The math mirrors the offline-parity spec exactly so the
server and the native client compute byte-identical forecasts from the
same canonical inputs.

- day-math: noon-UTC anchored YYYY-MM-DD arithmetic (dayDiff, addDays,
  round-half-up) that stays stable across timezones and DST transitions.
- prediction: robust median+MAD cycle-length estimator over a trailing
  12-cycle window with 3-MAD outlier exclusion and missed-log detection;
  period-length estimator; one-sigma Low/High date band widened by
  logging sparsity; luteal back-calculated ovulation + six-day fertile
  window; the CALENDAR -> symptothermal -> temperature-trend method
  ladder (sensiplan 3-over-6 + mucus-peak re-implemented from the
  published method) with documented blend precedence; a multiplicative
  confidence scalar shrinking with length variance, low cycle count, and
  sparse logging.
- phase: day-of-cycle -> MENSTRUAL/FOLLICULAR/OVULATORY/LUTEAL boundary
  mapping with menstrual precedence on overlap.
- 48 unit tests covering the regular, irregular, cold-start, outlier,
  symptothermal, temperature-trend, and every phase-boundary case; all
  assertions are timezone-independent and pin exact dates + confidence.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

2026-06-06 08:29:52 +02:00

..

__tests__

feat(cycle): add deterministic prediction + phase engine

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day-math.ts

feat(cycle): add deterministic prediction + phase engine

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index.ts

feat(cycle): add deterministic prediction + phase engine

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phase.ts

feat(cycle): add deterministic prediction + phase engine

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prediction.ts

feat(cycle): add deterministic prediction + phase engine

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profile.ts

feat(cycle): add cycle-tracking schema foundation

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types.ts

feat(cycle): add deterministic prediction + phase engine

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