138 lines
7.0 KiB
Python
138 lines
7.0 KiB
Python
from typing import Any
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from sqlalchemy.orm import Session
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from app.fitness.service import FitnessService
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def get_fitness_snapshot(db: Session, user_id: int) -> dict[str, Any]:
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return FitnessService(db, user_id).snapshot()
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def format_fitness_context(snapshot: dict[str, Any]) -> str:
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lines = ["[Фитнес — сводка на сегодня]"]
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profile = snapshot.get("profile")
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if not profile:
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lines.append("Профиль не настроен. set_fitness_profile для целей ккал/БЖУ/воды.")
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else:
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computed = profile.get("computed") or {}
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lines.append(
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f"Цели (база, без шагов/тренировок): {profile.get('calorie_target')} ккал, "
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f"Б {profile.get('protein_g')} / Ж {profile.get('fat_g')} / У {profile.get('carbs_g')} г, "
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f"вода {profile.get('water_l')} л"
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)
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lines.append(
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f"BMR {computed.get('bmr', '?')} + NEAT {computed.get('neat_kcal', 200)} = "
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f"TDEE база {computed.get('tdee', '?')} ккал"
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)
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if profile.get("goal"):
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lines.append(
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f"Цель: {profile.get('goal')}, вес {profile.get('weight_kg')} кг, "
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f"рост {profile.get('height_cm')} см"
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)
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today = snapshot.get("today") or {}
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totals = today.get("totals") or {}
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targets = today.get("targets") or {}
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breakdown = today.get("tdee_breakdown") or {}
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expected = today.get("tdee_expected") or {}
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targets_expected = today.get("targets_expected") or {}
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steps_total = today.get("steps_total") or 0
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water_l = totals.get("water_ml", 0) / 1000
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water_target = targets.get("water_ml", 2500) / 1000
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if breakdown:
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lines.append(
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f"TDEE факт: BMR {breakdown.get('bmr')} + NEAT {breakdown.get('neat_kcal')} + "
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f"шаги {breakdown.get('steps_kcal')} ({steps_total} шаг.) + "
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f"тренировки {breakdown.get('workout_kcal')} = {breakdown.get('tdee')} ккал → "
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f"цель {breakdown.get('calorie_target')} ккал"
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)
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elif steps_total == 0:
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lines.append(
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"Шаги/тренировки не внесены — TDEE факт = BMR + NEAT. "
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"log_steps / log_workout для точной дневной цели."
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)
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if expected:
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source = expected.get("source", "?")
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source_labels = {
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"weekly_avg": "среднее за неделю",
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"baseline": "baseline профиля",
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"defaults": "по activity_level",
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}
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source_label = source_labels.get(str(source), str(source))
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days_data = expected.get("days_with_data", 0)
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lookback = expected.get("lookback_days", 7)
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extra = f", {days_data} дн. с данными за {lookback} дн." if source == "weekly_avg" else ""
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lines.append(
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f"TDEE план ({source_label}{extra}): BMR {expected.get('bmr')} + NEAT {expected.get('neat_kcal')} + "
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f"шаги {expected.get('steps_kcal')} (~{expected.get('steps', 0)} шаг.) + "
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f"тренировки {expected.get('workout_kcal')} = {expected.get('tdee')} ккал → "
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f"цель {expected.get('calorie_target')} ккал"
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)
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lines.append("")
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if targets_expected and targets_expected.get("carbs_g") != targets.get("carbs_g"):
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lines.append(
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f"Съедено: {totals.get('calories', 0):.0f}/{targets.get('calories', 0):.0f} ккал "
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f"(план {targets_expected.get('calories', 0):.0f}) · "
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f"Б {totals.get('protein_g', 0):.0f}/{targets.get('protein_g', 0):.0f} · "
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f"Ж {totals.get('fat_g', 0):.0f}/{targets.get('fat_g', 0):.0f} · "
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f"У {totals.get('carbs_g', 0):.0f}/{targets.get('carbs_g', 0):.0f} "
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f"(план {targets_expected.get('carbs_g', 0):.0f}) г"
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)
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else:
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lines.append(
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f"Съедено: {totals.get('calories', 0):.0f}/{targets.get('calories', 0):.0f} ккал · "
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f"Б {totals.get('protein_g', 0):.0f}/{targets.get('protein_g', 0):.0f} · "
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f"Ж {totals.get('fat_g', 0):.0f}/{targets.get('fat_g', 0):.0f} · "
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f"У {totals.get('carbs_g', 0):.0f}/{targets.get('carbs_g', 0):.0f} г"
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)
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lines.append(f"Вода: {water_l:.1f}/{water_target:.1f} л")
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workouts = today.get("workouts") or []
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if workouts:
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lines.append(f"Тренировок сегодня: {len(workouts)}")
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stats = snapshot.get("workout_stats") or {}
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if stats.get("count"):
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lines.append(
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f"Тренировки за {stats.get('days', 7)} дн.: {stats.get('count')} "
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f"(серия {stats.get('streak')} дн., {stats.get('active_kcal')} ккал активных)"
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)
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latest = (snapshot.get("body_metrics") or [None])[0]
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if latest:
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lines.append("")
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lines.append("Антропометрия (последняя):")
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parts = [f"{latest.get('weight_kg')} кг"]
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if latest.get("body_fat_pct") is not None:
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method = latest.get("body_fat_method") or "?"
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parts.append(f"жир {latest.get('body_fat_pct')}% ({method})")
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if latest.get("neck_cm"):
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parts.append(f"шея {latest.get('neck_cm')}")
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if latest.get("waist_cm"):
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parts.append(f"талия {latest.get('waist_cm')}")
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if latest.get("hip_cm"):
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parts.append(f"бёдра {latest.get('hip_cm')}")
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if latest.get("whr"):
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parts.append(f"WHR {latest.get('whr')}")
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if latest.get("ffmi"):
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parts.append(f"FFMI {latest.get('ffmi')}")
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lines.append(" · ".join(parts))
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lines.append("")
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lines.append(
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"Правила: log_meal, log_water, log_weight (обхваты → Navy), log_steps, log_workout (date/days_ago), "
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"calc_body_composition (расчёт без записи), get_fitness_summary (date/days_ago), get_fitness_history, "
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"set_fitness_profile, calc_fitness_targets, lookup_food, lookup_exercise. "
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"TDEE = BMR + NEAT (200 ккал) + шаги + тренировки. "
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"TDEE факт — по залогированной активности; TDEE план — среднее за неделю (или baseline) для утреннего бюджета углеводов. "
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"БЖУ: белок 2.2 г/кг (сушка) / 1.8 г/кг (поддержание/набор), жир 1.0 г/кг, угли — остаток от целевых ккал. "
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"Скриншоты Mi Fitness: vision уже извлекла данные в блок [Скриншот] с fitness_hints — используй их, не говори что не видишь картинку. "
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"Еда — оценка LLM (≈)."
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)
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return chr(10).join(lines)
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