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Krzysztof kuhy Rudnicki
e761926df4
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Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
"""Daily steps from the phone's Health Connect, turned into exercise kcal.
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The **phone** writes these (it holds the Health Connect permission): one
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count per day of steps taken *outside* every published workout's
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``start..end`` window, so a recorded walk is never counted as both a workout
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and steps. Every device reads them.
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Only steps above :data:`STEP_BASELINE` count: the ``BMR x 1.2`` sedentary
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baseline the measured TDEE starts from already assumes a few thousand steps
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of ordinary daily movement. The rest are walking at the per-km rate
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(``_activity_kcal``: 0.5 kcal per kg per km, net of resting), over a stride
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estimated from height.
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KEEP IN SYNC WITH ``app/lib/services/body_steps.dart``.
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"""
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from __future__ import annotations
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from typing import TYPE_CHECKING
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from diet_guard._body_store import as_number, is_day, read_body
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if TYPE_CHECKING:
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from diet_guard._budget_biometrics import Biometrics
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__all__ = ["STEP_BASELINE", "daily_steps", "step_kcal", "stride_m"]
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STEP_BASELINE = 4000
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# Stride as a fraction of height (the common pedometer estimate).
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_STRIDE_MALE = 0.415
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_STRIDE_FEMALE = 0.413
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_WALK_KCAL_PER_KG_KM = 0.5
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_M_PER_KM = 1000.0
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def daily_steps() -> dict[str, int]:
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"""``YYYY-MM-DD`` -> steps outside workouts, oldest first."""
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log = read_body()["steps"]
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counts = {
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day: as_number(cell.get("n")) if isinstance(cell, dict) else None
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for day, cell in log.items()
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}
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return {
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day: int(n)
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for day, n in sorted(counts.items())
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if n is not None and is_day(day)
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}
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def stride_m(bio: Biometrics) -> float:
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"""Estimated walking stride in metres."""
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return bio.height_cm / 100.0 * (_STRIDE_MALE if bio.is_male else _STRIDE_FEMALE)
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def step_kcal(steps: int, bio: Biometrics) -> float:
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"""Net kcal of the steps above the baseline, as walking."""
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extra = max(0, steps - STEP_BASELINE)
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km = extra * stride_m(bio) / _M_PER_KM
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return km * _WALK_KCAL_PER_KG_KM * bio.weight_kg
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