added fitness

backend/app/fitness/context.py

@@ -0,0 +1,55 @@
+from typing import Any
+
+from sqlalchemy.orm import Session
+
+from app.fitness.service import FitnessService
+
+
+def get_fitness_snapshot(db: Session) -> dict[str, Any]:
+    return FitnessService(db).snapshot()
+
+
+def format_fitness_context(snapshot: dict[str, Any]) -> str:
+    lines = ["[Фитнес — сводка на сегодня]"]
+
+    profile = snapshot.get("profile")
+    if not profile:
+        lines.append("Профиль не настроен. set_fitness_profile для целей ккал/БЖУ/воды.")
+    else:
+        lines.append(
+            f"Цели: {profile.get('calorie_target')} ккал, "
+            f"Б {profile.get('protein_g')} / Ж {profile.get('fat_g')} / У {profile.get('carbs_g')} г, "
+            f"вода {profile.get('water_l')} л"
+        )
+        if profile.get("goal"):
+            lines.append(
+                f"Цель: {profile.get('goal')}, вес {profile.get('weight_kg')} кг, "
+                f"рост {profile.get('height_cm')} см"
+            )
+
+    today = snapshot.get("today") or {}
+    totals = today.get("totals") or {}
+    targets = today.get("targets") or {}
+    water_l = totals.get("water_ml", 0) / 1000
+    water_target = targets.get("water_ml", 2500) / 1000
+
+    lines.append("")
+    lines.append(
+        f"Съедено: {totals.get('calories', 0):.0f}/{targets.get('calories', 0):.0f} ккал · "
+        f"Б {totals.get('protein_g', 0):.0f}/{targets.get('protein_g', 0):.0f} · "
+        f"Ж {totals.get('fat_g', 0):.0f}/{targets.get('fat_g', 0):.0f} · "
+        f"У {totals.get('carbs_g', 0):.0f}/{targets.get('carbs_g', 0):.0f} г"
+    )
+    lines.append(f"Вода: {water_l:.1f}/{water_target:.1f} л")
+
+    workouts = today.get("workouts") or []
+    if workouts:
+        lines.append(f"Тренировок сегодня: {len(workouts)}")
+
+    lines.append("")
+    lines.append(
+        "Правила: log_meal, log_water, log_weight, log_workout, get_fitness_summary, "
+        "set_fitness_profile, calc_fitness_targets, lookup_food, lookup_exercise. "
+        "Еда — оценка LLM (≈), пользователь может уточнить."
+    )
+    return "\n".join(lines)