smart tdee

This commit is contained in:
2026-06-16 04:38:23 +00:00
parent f2e98942ff
commit a3f01cd850
56 changed files with 2519 additions and 591 deletions
+104 -30
View File
@@ -1,12 +1,12 @@
from typing import Any
ACTIVITY_MULTIPLIERS = {
"sedentary": 1.2,
"light": 1.375,
"moderate": 1.55,
"active": 1.725,
"very_active": 1.9,
}
from app.fitness.activity_budget import workouts_kcal_total
DEFAULT_NEAT_KCAL = 200.0
NEAT_KCAL_MIN = 200.0
NEAT_KCAL_MAX = 300.0
KCAL_PER_STEP_REF = 0.04 / 86 # ~0.04 kcal/step at 86 kg
WATER_ML_PER_KG = 33 # middle of 3035 ml/kg range
GOAL_CALORIE_ADJUST = {
"lose": -500,
@@ -14,6 +14,13 @@ GOAL_CALORIE_ADJUST = {
"gain": 300,
}
PROTEIN_G_PER_KG = {
"lose": 2.2,
"maintain": 1.8,
"gain": 1.8,
}
FAT_G_PER_KG = 1.0
def bmr_mifflin(*, sex: str, weight_kg: float, height_cm: float, age: int) -> float:
base = 10 * weight_kg + 6.25 * height_cm - 5 * age
@@ -22,17 +29,17 @@ def bmr_mifflin(*, sex: str, weight_kg: float, height_cm: float, age: int) -> fl
return base - 161
def tdee(
*,
sex: str,
weight_kg: float,
height_cm: float,
age: int,
activity_level: str = "moderate",
) -> float:
bmr = bmr_mifflin(sex=sex, weight_kg=weight_kg, height_cm=height_cm, age=age)
mult = ACTIVITY_MULTIPLIERS.get(activity_level, 1.55)
return bmr * mult
def neat_base_kcal(profile: dict[str, Any]) -> float:
raw = profile.get("neat_base_kcal")
if raw is not None:
return max(NEAT_KCAL_MIN, min(NEAT_KCAL_MAX, float(raw)))
return DEFAULT_NEAT_KCAL
def steps_kcal(*, steps: int, weight_kg: float) -> float:
if steps <= 0:
return 0.0
return round(steps * weight_kg * KCAL_PER_STEP_REF, 1)
def bmi(weight_kg: float, height_cm: float) -> float:
@@ -43,7 +50,7 @@ def bmi(weight_kg: float, height_cm: float) -> float:
def water_target_l(weight_kg: float) -> float:
return round(weight_kg * 0.033, 1)
return round(weight_kg * WATER_ML_PER_KG / 1000, 1)
def macro_targets(
@@ -51,8 +58,8 @@ def macro_targets(
weight_kg: float,
goal: str = "maintain",
) -> dict[str, float]:
protein_g = round(weight_kg * (2.0 if goal == "gain" else 1.8), 0)
fat_g = round((calorie_target * 0.25) / 9, 0)
protein_g = round(weight_kg * PROTEIN_G_PER_KG.get(goal, 1.8), 0)
fat_g = round(weight_kg * FAT_G_PER_KG, 0)
protein_cal = protein_g * 4
fat_cal = fat_g * 9
carbs_g = max(0, round((calorie_target - protein_cal - fat_cal) / 4, 0))
@@ -67,28 +74,95 @@ def one_rep_max(weight_kg: float, reps: int) -> float:
return round(weight_kg * (1 + reps / 30), 1)
def compute_targets(profile: dict[str, Any]) -> dict[str, Any]:
def _profile_fields(profile: dict[str, Any]) -> tuple[float, float, int, str, str]:
weight = float(profile.get("weight_kg") or 70)
height = float(profile.get("height_cm") or 170)
age = int(profile.get("age") or 30)
sex = str(profile.get("sex") or "male")
activity = str(profile.get("activity_level") or "moderate")
goal = str(profile.get("goal") or "maintain")
return weight, height, age, sex, goal
tdee_val = tdee(
sex=sex, weight_kg=weight, height_cm=height, age=age, activity_level=activity
)
calorie_target = round(tdee_val + GOAL_CALORIE_ADJUST.get(goal, 0), 0)
def compute_tdee(
profile: dict[str, Any],
*,
steps_total: int = 0,
workouts: list[dict[str, Any]] | None = None,
) -> dict[str, float]:
weight, height, age, sex, _ = _profile_fields(profile)
bmr = bmr_mifflin(sex=sex, weight_kg=weight, height_cm=height, age=age)
neat = neat_base_kcal(profile)
s_kcal = steps_kcal(steps=steps_total, weight_kg=weight)
w_kcal = workouts_kcal_total(workouts or [], weight_kg=weight)
tdee_val = bmr + neat + s_kcal + w_kcal
return {
"bmr": round(bmr, 0),
"neat_kcal": round(neat, 0),
"steps_kcal": s_kcal,
"workout_kcal": w_kcal,
"tdee": round(tdee_val, 0),
}
def compute_daily_targets(
profile: dict[str, Any],
*,
steps_total: int = 0,
workouts: list[dict[str, Any]] | None = None,
) -> dict[str, Any]:
weight, height, age, sex, goal = _profile_fields(profile)
breakdown = compute_tdee(profile, steps_total=steps_total, workouts=workouts)
calorie_target = round(breakdown["tdee"] + GOAL_CALORIE_ADJUST.get(goal, 0), 0)
macros = macro_targets(calorie_target, weight, goal)
water = water_target_l(weight)
return {
"bmr": round(bmr_mifflin(sex=sex, weight_kg=weight, height_cm=height, age=age), 0),
"tdee": round(tdee_val, 0),
"bmi": round(bmi(weight, height), 1),
**breakdown,
"calorie_target": calorie_target,
"protein_g": macros["protein_g"],
"fat_g": macros["fat_g"],
"carbs_g": macros["carbs_g"],
"water_l": water,
"bmi": round(bmi(weight, height), 1),
"steps": steps_total,
}
def targets_to_api(daily: dict[str, Any]) -> dict[str, float]:
return {
"calories": daily["calorie_target"],
"protein_g": daily["protein_g"],
"fat_g": daily["fat_g"],
"carbs_g": daily["carbs_g"],
"water_ml": round(daily["water_l"] * 1000),
}
def tdee_breakdown_to_api(daily: dict[str, Any]) -> dict[str, Any]:
return {
"bmr": daily["bmr"],
"neat_kcal": daily["neat_kcal"],
"steps_kcal": daily["steps_kcal"],
"workout_kcal": daily["workout_kcal"],
"tdee": daily["tdee"],
"calorie_target": daily["calorie_target"],
"steps": daily.get("steps", 0),
}
def compute_targets(profile: dict[str, Any]) -> dict[str, Any]:
"""Rest-day targets (BMR + NEAT, no steps/workouts) for profile storage."""
daily = compute_daily_targets(profile, steps_total=0, workouts=[])
return {
"bmr": daily["bmr"],
"tdee": daily["tdee"],
"bmi": daily["bmi"],
"neat_kcal": daily["neat_kcal"],
"steps_kcal": 0,
"workout_kcal": 0,
"calorie_target": daily["calorie_target"],
"protein_g": daily["protein_g"],
"fat_g": daily["fat_g"],
"carbs_g": daily["carbs_g"],
"water_l": daily["water_l"],
}