diet-guard/diet_guard/_budget_biometrics.py
Krzysztof kuhy Rudnicki 3e51e614b1 Split the last seven Python files; extend the redirect guard to all five paths
Ninth batch of the 250-line sweep. Every Python file in the repo is now under
cap (over-cap count 25 -> 18; the 18 remaining are all Dart).

  _foodbank.py             365 -> 210  (+ _foodbank_search, _foodbank_rebuild)
  test_averages.py         351 -> 222  (+ test_averages_report.py)
  _estimator.py            325 -> 137  (+ _estimator_off.py)
  _budget.py               323 -> 227  (+ _budget_biometrics, _budget_derived)
  test_foodbank.py         311 -> 117  (+ test_foodbank_rebuild.py)
  _averages.py             298 -> 174  (+ _averages_periods, _averages_report)
  test_budget_history.py   288 -> 162  (+ test_budget_history_io.py)

The split boundaries are constrained by which module owns each conftest-patched
state path, not by line count. BUDGET_FILE stays in _budget, FOOD_BANK_FILE in
_foodbank: the derived/search/rebuild halves reach the file only through their
parent's private helpers. Two of the new modules had copied FOOD_BANK_FILE into
their headers as an incidental import, which is exactly the leak the guard is
for -- both cleaned.

test_state_redirect.py now covers all five redirected paths (FOOD_LOG_FILE,
BUDGET_FILE, BUDGET_HISTORY_FILE, FOOD_BANK_FILE, MANUAL_BANK_FILE) rather
than just the food log, in both directions: only the owning module may name
each constant, and each redirect demonstrably moves a real write off the live
path.

Two rewires fail-closed rather than silently: `_budget.budget_weight` and
`_estimator.requests` were module-attribute references no import rewrite
touches, and both raised AttributeError immediately. The latter appeared only
after ruff removed the now-unused `requests` import from _estimator -- the
import was load-bearing solely as a patch target.

Verified: 707 Python tests / 100% branch coverage, 5 layout-fits tests under
xvfb, check_patch_targets 0, pre-commit clean, ~/.local/share/diet_guard
byte-identical.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RA9ynjqXPnexRQnR5oAuCC
2026-08-15 20:37:05 +02:00

81 lines
2.5 KiB
Python

"""Biometrics and the one-time budget computation seeded from them.
Split out of :mod:`._budget` to keep both files under the repo's 250-line
limit. This half is pure arithmetic -- Mifflin-St Jeor BMR, the activity and
goal multipliers -- and touches no file, which is why ``BUDGET_FILE`` stays
named by :mod:`._budget` alone.
The biometrics themselves are used once and discarded: only the computed
budget is ever persisted.
"""
from __future__ import annotations
from dataclasses import dataclass
# The floor a computed target can never go below, however aggressive the
# deficit. Defined here with the computation it guards rather than imported
# from _budget, which would make the dependency circular.
_MIN_SANE_BUDGET = 1200
__all__ = ["Biometrics", "compute_target_budget", "mifflin_st_jeor_bmr"]
@dataclass(frozen=True)
class Biometrics:
"""Body metrics that feed the Mifflin-St Jeor budget formula.
Grouped into one value object so the budget calculation stays under the
repo's five-argument lint ceiling and so the inputs travel together.
Attributes:
weight_kg: Body mass in kilograms.
height_cm: Height in centimetres.
age_years: Age in years.
is_male: True for the male BMR constant (+5), False for female (-161).
"""
weight_kg: float
height_cm: float
age_years: float
is_male: bool
def mifflin_st_jeor_bmr(bio: Biometrics) -> float:
"""Return resting metabolic rate via the Mifflin-St Jeor equation.
Args:
bio: The person's body metrics.
Returns:
Basal metabolic rate in kcal/day.
"""
base = 10.0 * bio.weight_kg + 6.25 * bio.height_cm - 5.0 * bio.age_years
return base + 5.0 if bio.is_male else base - 161.0
def compute_target_budget(
bio: Biometrics,
*,
activity_factor: float,
deficit_kcal: float,
) -> int:
"""Return the daily kcal target: TDEE minus a deficit, floored for safety.
TDEE (total daily energy expenditure) is the BMR scaled by an activity
factor; subtracting a deficit yields a target that drives gradual loss.
Args:
bio: The person's body metrics.
activity_factor: Multiplier for daily activity (e.g. 1.2 sedentary,
1.375 light, 1.55 moderate, 1.725 very active).
deficit_kcal: Calories subtracted from TDEE for weight loss.
Returns:
The target budget in kcal, never below ``_MIN_SANE_BUDGET``.
"""
bmr = mifflin_st_jeor_bmr(bio)
tdee = bmr * activity_factor
target = round(tdee - deficit_kcal)
return max(target, _MIN_SANE_BUDGET)