added fitness

This commit is contained in:
2026-06-10 09:12:50 +03:00
parent 0b39692300
commit d0bdd1e95c
25 changed files with 2082 additions and 7 deletions
+5
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@@ -19,6 +19,11 @@ CORS_ORIGINS=http://localhost:5173,http://localhost:8080,http://localhost:3080
SYSTEM_PROMPT_PATH=./prompts/assistant.md
MEMORY_AUTO_EXTRACT=true
# Fitness (wger + Open Food Facts — public HTTPS, no proxy)
WGER_BASE_URL=https://wger.de/api/v2
OPENFOODFACTS_BASE_URL=https://world.openfoodfacts.org
FITNESS_REMINDERS_ENABLED=true
# Taiga (on host :9000, nginx → taiga.grigowashere.ru)
TAIGA_BASE_URL=http://host.docker.internal:9000
TAIGA_USERNAME=your_taiga_user
+9 -2
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@@ -201,12 +201,19 @@ data/ SQLite БД (создаётся автоматически)
| DELETE | `/api/v1/memory/facts/{id}` | забыть |
| PUT | `/api/v1/memory/sessions/{id}/summary` | сводка чата |
## Фитнес-трекер
Профиль, дневник (еда/вода/вес/тренировки), калькуляторы TDEE, LLM-оценка ккал/БЖУ,
lookup wger + Open Food Facts, напоминания в чат (`💪`), вкладка `/fitness`.
Чат: «обед: гречка 200г, курица 150г», «выпил 300 мл воды», «жим 80×5×3».
## Следующие фазы
- Фаза 4: инструменты с обращением к внешним API
- Фаза 5: RAG по файлам, Qdrant (если понадобится семантика)
- Фаза 5: RAG по файлам
- Проактивные чаты по расписанию
- Фитнес-трекер
- Telegram, графики веса, LLM-мотивация в напоминаниях
## Модель
+2 -1
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@@ -1,6 +1,6 @@
from fastapi import APIRouter
from app.api.routes import character, chat, health, memory, pomodoro, projects, webhooks
from app.api.routes import character, chat, fitness, health, memory, pomodoro, projects, webhooks
api_router = APIRouter(prefix="/api/v1")
api_router.include_router(health.router, tags=["health"])
@@ -9,4 +9,5 @@ api_router.include_router(pomodoro.router, prefix="/pomodoro", tags=["pomodoro"]
api_router.include_router(character.router, tags=["character"])
api_router.include_router(projects.router, tags=["projects"])
api_router.include_router(memory.router, tags=["memory"])
api_router.include_router(fitness.router, tags=["fitness"])
api_router.include_router(webhooks.router, tags=["webhooks"])
+213
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@@ -0,0 +1,213 @@
from datetime import date
from typing import Any
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session
from app.db.base import get_db
from app.fitness.service import FitnessService
from app.fitness.structuring import structure_meal, structure_workout
from app.integrations.openfoodfacts import OpenFoodFactsClient
from app.integrations.wger import WgerClient
router = APIRouter()
class ProfileUpdate(BaseModel):
sex: str | None = None
age: int | None = None
height_cm: float | None = None
weight_kg: float | None = None
activity_level: str | None = None
goal: str | None = None
target_weight_kg: float | None = None
weekly_workouts: int | None = None
class MealCreate(BaseModel):
text: str = Field(min_length=1)
meal_type: str | None = None
class WaterCreate(BaseModel):
amount_ml: int = Field(gt=0)
class WeightCreate(BaseModel):
weight_kg: float = Field(gt=0)
body_fat_pct: float | None = None
chest_cm: float | None = None
waist_cm: float | None = None
notes: str = ""
class WorkoutCreate(BaseModel):
text: str = Field(min_length=1)
class ReminderUpdate(BaseModel):
enabled: bool | None = None
hour: int | None = Field(default=None, ge=0, le=23)
minute: int | None = Field(default=None, ge=0, le=59)
interval_hours: int | None = Field(default=None, ge=1, le=12)
@router.get("/fitness")
def get_snapshot(db: Session = Depends(get_db)) -> dict[str, Any]:
return FitnessService(db).snapshot()
@router.get("/fitness/summary")
def get_summary(
day: str | None = None,
db: Session = Depends(get_db),
) -> dict[str, Any]:
d = date.fromisoformat(day) if day else None
return FitnessService(db).get_daily_summary(d)
@router.get("/fitness/profile")
def get_profile(db: Session = Depends(get_db)) -> dict[str, Any]:
profile = FitnessService(db).get_profile()
return profile or {"configured": False}
@router.put("/fitness/profile")
def update_profile(
payload: ProfileUpdate,
db: Session = Depends(get_db),
) -> dict[str, Any]:
return FitnessService(db).set_profile(payload.model_dump(exclude_none=True))
@router.post("/fitness/profile/calc")
def calc_targets(
payload: ProfileUpdate,
db: Session = Depends(get_db),
) -> dict[str, Any]:
params = payload.model_dump(exclude_none=True)
if not params:
raise HTTPException(status_code=400, detail="No parameters")
return FitnessService(db).calc_targets(params)
@router.post("/fitness/meals")
async def create_meal(
payload: MealCreate,
db: Session = Depends(get_db),
) -> dict[str, Any]:
service = FitnessService(db)
try:
structured = await structure_meal(payload.text)
except Exception as exc:
raise HTTPException(status_code=502, detail=str(exc)) from exc
return service.log_meal(
description=structured.get("description") or payload.text,
meal_type=payload.meal_type or structured.get("meal_type") or "snack",
calories=float(structured.get("calories") or 0),
protein_g=float(structured.get("protein_g") or 0),
fat_g=float(structured.get("fat_g") or 0),
carbs_g=float(structured.get("carbs_g") or 0),
source="llm",
estimated=bool(structured.get("estimated", True)),
)
@router.post("/fitness/water")
def create_water(
payload: WaterCreate,
db: Session = Depends(get_db),
) -> dict[str, Any]:
return FitnessService(db).log_water(payload.amount_ml)
@router.post("/fitness/weight")
def create_weight(
payload: WeightCreate,
db: Session = Depends(get_db),
) -> dict[str, Any]:
return FitnessService(db).log_weight(
payload.weight_kg,
body_fat_pct=payload.body_fat_pct,
chest_cm=payload.chest_cm,
waist_cm=payload.waist_cm,
notes=payload.notes,
)
@router.post("/fitness/workouts")
async def create_workout(
payload: WorkoutCreate,
db: Session = Depends(get_db),
) -> dict[str, Any]:
service = FitnessService(db)
try:
structured = await structure_workout(payload.text)
except Exception as exc:
raise HTTPException(status_code=502, detail=str(exc)) from exc
return service.log_workout(
title=structured.get("title") or "Тренировка",
notes=structured.get("notes") or payload.text,
duration_min=structured.get("duration_min"),
exercises=structured.get("exercises"),
)
@router.get("/fitness/body-metrics")
def list_metrics(
limit: int = 30,
db: Session = Depends(get_db),
) -> list[dict[str, Any]]:
return FitnessService(db).list_body_metrics(limit=limit)
@router.delete("/fitness/meals/{log_id}")
def delete_meal(log_id: int, db: Session = Depends(get_db)) -> dict[str, bool]:
if not FitnessService(db).delete_food_log(log_id):
raise HTTPException(status_code=404, detail="Not found")
return {"ok": True}
@router.delete("/fitness/water/{log_id}")
def delete_water(log_id: int, db: Session = Depends(get_db)) -> dict[str, bool]:
if not FitnessService(db).delete_water_log(log_id):
raise HTTPException(status_code=404, detail="Not found")
return {"ok": True}
@router.delete("/fitness/workouts/{log_id}")
def delete_workout(log_id: int, db: Session = Depends(get_db)) -> dict[str, bool]:
if not FitnessService(db).delete_workout_log(log_id):
raise HTTPException(status_code=404, detail="Not found")
return {"ok": True}
@router.get("/fitness/reminders")
def list_reminders(db: Session = Depends(get_db)) -> list[dict[str, Any]]:
return FitnessService(db).list_reminders()
@router.put("/fitness/reminders/{kind}")
def update_reminder(
kind: str,
payload: ReminderUpdate,
db: Session = Depends(get_db),
) -> dict[str, Any]:
return FitnessService(db).set_reminder(
kind,
enabled=payload.enabled,
hour=payload.hour,
minute=payload.minute,
interval_hours=payload.interval_hours,
)
@router.get("/fitness/lookup/food")
def lookup_food(q: str, limit: int = 5) -> list[dict[str, Any]]:
return OpenFoodFactsClient().search(q, limit=limit)
@router.get("/fitness/lookup/exercise")
def lookup_exercise(q: str, limit: int = 8) -> list[dict[str, Any]]:
return WgerClient().search_exercises(q, limit=limit)
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@@ -12,6 +12,8 @@ TOOLS_INSTRUCTIONS = """
- «Какие задачи» / «покажи задачи проекта» → list_taiga_tasks (живые данные Taiga).
- list_work_items — ТОЛЬКО задачи, созданные через create_work_item (локальная БД).
- create_work_item — при «заведи баг/фичу»; передай полный текст и project_slug.
- Фитнес: get_fitness_summary, set_fitness_profile, log_meal, log_water, log_weight, log_workout,
calc_fitness_targets, lookup_food, lookup_exercise, set_fitness_reminder.
- Память: remember_fact, recall_memories, forget_memory, update_profile, update_session_summary.
- «Запомни» → remember_fact. «Кто я» / «сколько мне лет» → профиль и факты из блока [Память], не выдумывай.
- Сценарий персонажа (сын, семья) — тон общения, НЕ факты о пользователе.
+52
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@@ -55,10 +55,27 @@ MEMORY_TOOL_NAMES = frozenset({
"update_session_summary",
})
FITNESS_TOOL_NAMES = frozenset({
"get_fitness_summary",
"set_fitness_profile",
"calc_fitness_targets",
"log_meal",
"log_water",
"log_weight",
"log_workout",
"lookup_food",
"lookup_exercise",
"set_fitness_reminder",
})
# Не засорять чат служебными ответами
TOOLS_SKIP_CHAT_NOTICE = frozenset({
"get_pomodoro_status",
"recall_memories",
"get_fitness_summary",
"lookup_food",
"lookup_exercise",
"calc_fitness_targets",
})
@@ -76,6 +93,8 @@ def format_tool_notice(tool_name: str, raw_result: str) -> str | None:
prefix = ""
elif tool_name in MEMORY_TOOL_NAMES:
prefix = "🧠"
elif tool_name in FITNESS_TOOL_NAMES:
prefix = "💪"
else:
prefix = "📋"
return f"{prefix} {data['error']}"
@@ -138,6 +157,39 @@ def format_tool_notice(tool_name: str, raw_result: str) -> str | None:
if tool_name == "update_session_summary" and data.get("ok"):
return "🧠 **Сводка чата сохранена**"
if tool_name == "log_meal" and data.get("ok"):
meal = data.get("meal", {})
est = "" if meal.get("estimated") else ""
return (
f"💪 **Приём пищи** · {meal.get('description')} · "
f"{est}{meal.get('calories', 0):.0f} ккал "
f"{meal.get('protein_g', 0):.0f}{meal.get('fat_g', 0):.0f}/У{meal.get('carbs_g', 0):.0f})"
)
if tool_name == "log_water" and data.get("ok"):
w = data.get("water", {})
return f"💪 **Вода** +{w.get('amount_ml')} мл"
if tool_name == "log_weight" and data.get("ok"):
m = data.get("metric", {})
return f"💪 **Вес** {m.get('weight_kg')} кг"
if tool_name == "log_workout" and data.get("ok"):
wo = data.get("workout", {})
return f"💪 **Тренировка** · {wo.get('title')}"
if tool_name == "set_fitness_profile" and data.get("ok"):
p = data.get("profile", {})
return (
f"💪 **Профиль** · {p.get('calorie_target')} ккал, "
f"вода {p.get('water_l')} л"
)
if tool_name == "set_fitness_reminder" and data.get("ok"):
r = data.get("reminder", {})
state = "вкл" if r.get("enabled") else "выкл"
return f"💪 **Напоминание {r.get('kind')}** · {state}"
return None
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@@ -12,6 +12,7 @@ from app.chat.notices import (
format_pomodoro_context,
format_tool_notice,
)
from app.fitness.context import format_fitness_context, get_fitness_snapshot
from app.memory.context import (
format_identity_hint,
format_memory_context,
@@ -59,10 +60,12 @@ class ChatService:
def _build_system_prompt(self, session_id: int | None = None) -> str:
status = PomodoroService(self.db).get_status()
memory_snapshot = get_memory_snapshot(self.db, session_id)
fitness_snapshot = get_fitness_snapshot(self.db)
projects_snapshot = get_projects_snapshot(self.db)
return (
f"{self.character.get_system_prompt()}\n\n"
f"{format_memory_context(memory_snapshot)}\n\n"
f"{format_fitness_context(fitness_snapshot)}\n\n"
f"{format_pomodoro_context(status)}\n\n"
f"{format_projects_context(projects_snapshot)}"
)
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@@ -36,6 +36,10 @@ class Settings(BaseSettings):
repos_dir: str = "/data/repos"
wger_base_url: str = "https://wger.de/api/v2"
openfoodfacts_base_url: str = "https://world.openfoodfacts.org"
fitness_reminders_enabled: bool = True
@property
def cors_origins_list(self) -> list[str]:
return [origin.strip() for origin in self.cors_origins.split(",") if origin.strip()]
+81 -1
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@@ -1,6 +1,6 @@
from datetime import datetime
from sqlalchemy import Boolean, DateTime, ForeignKey, Integer, String, Text, func
from sqlalchemy import Boolean, DateTime, Float, ForeignKey, Integer, String, Text, func
from sqlalchemy.orm import Mapped, mapped_column, relationship
from app.db.base import Base
@@ -135,6 +135,86 @@ class SessionSummary(Base):
)
class FitnessProfile(Base):
__tablename__ = "fitness_profiles"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
sex: Mapped[str] = mapped_column(String(16), default="male")
age: Mapped[int] = mapped_column(Integer, default=30)
height_cm: Mapped[float] = mapped_column(Float, default=170.0)
weight_kg: Mapped[float] = mapped_column(Float, default=70.0)
activity_level: Mapped[str] = mapped_column(String(32), default="moderate")
goal: Mapped[str] = mapped_column(String(32), default="maintain")
target_weight_kg: Mapped[float | None] = mapped_column(Float, nullable=True)
weekly_workouts: Mapped[int] = mapped_column(Integer, default=3)
calorie_target: Mapped[float] = mapped_column(Float, default=2000.0)
protein_g: Mapped[float] = mapped_column(Float, default=140.0)
fat_g: Mapped[float] = mapped_column(Float, default=65.0)
carbs_g: Mapped[float] = mapped_column(Float, default=200.0)
water_l: Mapped[float] = mapped_column(Float, default=2.5)
updated_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
)
class BodyMetric(Base):
__tablename__ = "body_metrics"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
recorded_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
weight_kg: Mapped[float] = mapped_column(Float)
body_fat_pct: Mapped[float | None] = mapped_column(Float, nullable=True)
chest_cm: Mapped[float | None] = mapped_column(Float, nullable=True)
waist_cm: Mapped[float | None] = mapped_column(Float, nullable=True)
notes: Mapped[str] = mapped_column(Text, default="")
class FoodLog(Base):
__tablename__ = "food_logs"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
logged_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
meal_type: Mapped[str] = mapped_column(String(32), default="snack")
description: Mapped[str] = mapped_column(Text, default="")
calories: Mapped[float] = mapped_column(Float, default=0)
protein_g: Mapped[float] = mapped_column(Float, default=0)
fat_g: Mapped[float] = mapped_column(Float, default=0)
carbs_g: Mapped[float] = mapped_column(Float, default=0)
source: Mapped[str] = mapped_column(String(32), default="llm")
estimated: Mapped[bool] = mapped_column(Boolean, default=True)
class WaterLog(Base):
__tablename__ = "water_logs"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
logged_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
amount_ml: Mapped[int] = mapped_column(Integer)
class WorkoutLog(Base):
__tablename__ = "workout_logs"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
logged_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
title: Mapped[str] = mapped_column(String(255), default="Тренировка")
notes: Mapped[str] = mapped_column(Text, default="")
duration_min: Mapped[int | None] = mapped_column(Integer, nullable=True)
exercises_json: Mapped[str] = mapped_column(Text, default="[]")
class FitnessReminder(Base):
__tablename__ = "fitness_reminders"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
kind: Mapped[str] = mapped_column(String(32))
hour: Mapped[int] = mapped_column(Integer, default=12)
minute: Mapped[int] = mapped_column(Integer, default=0)
interval_hours: Mapped[int | None] = mapped_column(Integer, nullable=True)
enabled: Mapped[bool] = mapped_column(Boolean, default=True)
last_fired_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
class WorkItem(Base):
__tablename__ = "work_items"
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@@ -0,0 +1,94 @@
from typing import Any
ACTIVITY_MULTIPLIERS = {
"sedentary": 1.2,
"light": 1.375,
"moderate": 1.55,
"active": 1.725,
"very_active": 1.9,
}
GOAL_CALORIE_ADJUST = {
"lose": -500,
"maintain": 0,
"gain": 300,
}
def bmr_mifflin(*, sex: str, weight_kg: float, height_cm: float, age: int) -> float:
base = 10 * weight_kg + 6.25 * height_cm - 5 * age
if sex.lower() in ("m", "male", "м", "мужской"):
return base + 5
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 bmi(weight_kg: float, height_cm: float) -> float:
if height_cm <= 0:
return 0.0
h = height_cm / 100
return weight_kg / (h * h)
def water_target_l(weight_kg: float) -> float:
return round(weight_kg * 0.033, 1)
def macro_targets(
calorie_target: float,
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_cal = protein_g * 4
fat_cal = fat_g * 9
carbs_g = max(0, round((calorie_target - protein_cal - fat_cal) / 4, 0))
return {"protein_g": protein_g, "fat_g": fat_g, "carbs_g": carbs_g}
def one_rep_max(weight_kg: float, reps: int) -> float:
if reps <= 0:
return weight_kg
if reps == 1:
return weight_kg
return round(weight_kg * (1 + reps / 30), 1)
def compute_targets(profile: dict[str, Any]) -> dict[str, Any]:
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")
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)
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),
"calorie_target": calorie_target,
"protein_g": macros["protein_g"],
"fat_g": macros["fat_g"],
"carbs_g": macros["carbs_g"],
"water_l": water,
}
+55
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@@ -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)
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from datetime import datetime, timedelta, timezone
from sqlalchemy import select
from sqlalchemy.orm import Session
from app.config import get_settings
from app.db.base import SessionLocal
from app.db.models import ChatSession, FitnessReminder, Message
from app.fitness.service import FitnessService
KIND_LABELS = {
"water": "Вода",
"meal": "Еда",
"workout": "Тренировка",
"weigh_in": "Взвешивание",
}
def _post_fitness_notice(content: str) -> None:
db = SessionLocal()
try:
session = db.scalar(
select(ChatSession).order_by(ChatSession.updated_at.desc()).limit(1)
)
if not session:
session = ChatSession(title="Фитнес")
db.add(session)
db.commit()
db.refresh(session)
db.add(Message(session_id=session.id, role="notice", content=content))
db.commit()
finally:
db.close()
def _build_notice(kind: str, summary: dict) -> str:
label = KIND_LABELS.get(kind, kind)
totals = summary.get("totals") or {}
targets = summary.get("targets") or {}
water_l = totals.get("water_ml", 0) / 1000
water_target = targets.get("water_ml", 2500) / 1000
cals = totals.get("calories", 0)
cal_target = targets.get("calories", 2000)
if kind == "water":
return (
f"💪 **{label}** · выпито {water_l:.1f}/{water_target:.1f} л сегодня. "
"Пора выпить стакан воды."
)
if kind == "meal":
return (
f"💪 **{label}** · {cals:.0f}/{cal_target:.0f} ккал за день. "
"Не забудь залогировать приём пищи."
)
if kind == "workout":
workouts = summary.get("workouts") or []
if workouts:
return f"💪 **{label}** · сегодня уже была тренировка. Отдыхай или лёгкая активность."
return "💪 **Тренировка** · запланирована на сегодня. Время двигаться!"
if kind == "weigh_in":
return "💪 **Взвешивание** · пора записать вес (log_weight)."
return f"💪 **{label}** · напоминание"
def check_reminders(db: Session) -> list[str]:
if not get_settings().fitness_reminders_enabled:
return []
now = datetime.now(timezone.utc)
service = FitnessService(db)
summary = service.get_daily_summary()
fired: list[str] = []
reminders = db.scalars(
select(FitnessReminder).where(FitnessReminder.enabled.is_(True))
).all()
for rem in reminders:
should_fire = False
if rem.interval_hours:
if rem.last_fired_at is None:
should_fire = now.hour >= rem.hour
else:
delta = now - rem.last_fired_at.replace(tzinfo=timezone.utc)
should_fire = delta >= timedelta(hours=rem.interval_hours)
else:
if rem.kind == "weigh_in":
if rem.last_fired_at:
delta = now - rem.last_fired_at.replace(tzinfo=timezone.utc)
should_fire = delta >= timedelta(days=7)
else:
should_fire = now.hour == rem.hour and now.minute >= rem.minute
else:
if rem.last_fired_at:
last = rem.last_fired_at.replace(tzinfo=timezone.utc)
already_today = last.date() == now.date()
if already_today:
continue
should_fire = now.hour == rem.hour and now.minute >= rem.minute
if not should_fire:
continue
notice = _build_notice(rem.kind, summary)
rem.last_fired_at = now
fired.append(notice)
if fired:
db.commit()
for notice in fired:
_post_fitness_notice(notice)
return fired
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import json
from datetime import date, datetime, time, timezone
from typing import Any
from sqlalchemy import func, select
from sqlalchemy.orm import Session
from app.db.models import (
BodyMetric,
FitnessProfile,
FitnessReminder,
FoodLog,
WaterLog,
WorkoutLog,
)
from app.fitness.calculators import compute_targets, one_rep_max
DEFAULT_REMINDERS = [
{"kind": "water", "hour": 9, "minute": 0, "interval_hours": 2},
{"kind": "meal", "hour": 13, "minute": 0, "interval_hours": None},
{"kind": "workout", "hour": 18, "minute": 0, "interval_hours": None},
{"kind": "weigh_in", "hour": 8, "minute": 0, "interval_hours": None},
]
class FitnessService:
def __init__(self, db: Session):
self.db = db
def _get_profile_row(self) -> FitnessProfile | None:
return self.db.scalar(select(FitnessProfile).limit(1))
def get_profile(self) -> dict[str, Any] | None:
row = self._get_profile_row()
if not row:
return None
return self._profile_to_dict(row)
def _profile_to_dict(self, row: FitnessProfile) -> dict[str, Any]:
targets = compute_targets(
{
"sex": row.sex,
"age": row.age,
"height_cm": row.height_cm,
"weight_kg": row.weight_kg,
"activity_level": row.activity_level,
"goal": row.goal,
}
)
return {
"sex": row.sex,
"age": row.age,
"height_cm": row.height_cm,
"weight_kg": row.weight_kg,
"activity_level": row.activity_level,
"goal": row.goal,
"target_weight_kg": row.target_weight_kg,
"weekly_workouts": row.weekly_workouts,
"calorie_target": row.calorie_target,
"protein_g": row.protein_g,
"fat_g": row.fat_g,
"carbs_g": row.carbs_g,
"water_l": row.water_l,
"computed": targets,
"updated_at": row.updated_at.isoformat() if row.updated_at else None,
}
def set_profile(self, updates: dict[str, Any]) -> dict[str, Any]:
row = self._get_profile_row()
is_new = row is None
if is_new:
row = FitnessProfile()
self.db.add(row)
self.db.flush()
for key in (
"sex", "age", "height_cm", "weight_kg", "activity_level",
"goal", "target_weight_kg", "weekly_workouts",
):
if key in updates and updates[key] is not None:
setattr(row, key, updates[key])
targets = compute_targets(
{
"sex": row.sex,
"age": row.age,
"height_cm": row.height_cm,
"weight_kg": row.weight_kg,
"activity_level": row.activity_level,
"goal": row.goal,
}
)
row.calorie_target = targets["calorie_target"]
row.protein_g = targets["protein_g"]
row.fat_g = targets["fat_g"]
row.carbs_g = targets["carbs_g"]
row.water_l = targets["water_l"]
row.updated_at = datetime.now(timezone.utc)
if is_new:
self._ensure_default_reminders()
self.db.commit()
self.db.refresh(row)
return {"ok": True, "profile": self._profile_to_dict(row)}
def _ensure_default_reminders(self) -> None:
existing = self.db.scalars(select(FitnessReminder)).all()
if existing:
return
for item in DEFAULT_REMINDERS:
self.db.add(FitnessReminder(**item))
def calc_targets(self, params: dict[str, Any]) -> dict[str, Any]:
return compute_targets(params)
def _day_bounds(self, day: date | None = None) -> tuple[datetime, datetime]:
d = day or datetime.now(timezone.utc).date()
start = datetime.combine(d, time.min, tzinfo=timezone.utc)
end = datetime.combine(d, time.max, tzinfo=timezone.utc)
return start, end
def get_daily_summary(self, day: date | None = None) -> dict[str, Any]:
start, end = self._day_bounds(day)
profile = self.get_profile()
foods = self.db.scalars(
select(FoodLog)
.where(FoodLog.logged_at >= start, FoodLog.logged_at <= end)
.order_by(FoodLog.logged_at)
).all()
waters = self.db.scalars(
select(WaterLog)
.where(WaterLog.logged_at >= start, WaterLog.logged_at <= end)
.order_by(WaterLog.logged_at)
).all()
workouts = self.db.scalars(
select(WorkoutLog)
.where(WorkoutLog.logged_at >= start, WorkoutLog.logged_at <= end)
.order_by(WorkoutLog.logged_at)
).all()
totals = {
"calories": sum(f.calories for f in foods),
"protein_g": sum(f.protein_g for f in foods),
"fat_g": sum(f.fat_g for f in foods),
"carbs_g": sum(f.carbs_g for f in foods),
"water_ml": sum(w.amount_ml for w in waters),
}
targets = profile or {
"calorie_target": 2000,
"protein_g": 140,
"fat_g": 65,
"carbs_g": 200,
"water_l": 2.5,
}
return {
"date": (day or datetime.now(timezone.utc).date()).isoformat(),
"profile_configured": profile is not None,
"totals": totals,
"targets": {
"calories": targets.get("calorie_target", 2000),
"protein_g": targets.get("protein_g", 140),
"fat_g": targets.get("fat_g", 65),
"carbs_g": targets.get("carbs_g", 200),
"water_ml": targets.get("water_l", 2.5) * 1000,
},
"meals": [self._food_to_dict(f) for f in foods],
"water": [self._water_to_dict(w) for w in waters],
"workouts": [self._workout_to_dict(w) for w in workouts],
}
def log_meal(
self,
*,
description: str,
meal_type: str = "snack",
calories: float = 0,
protein_g: float = 0,
fat_g: float = 0,
carbs_g: float = 0,
source: str = "llm",
estimated: bool = True,
) -> dict[str, Any]:
row = FoodLog(
meal_type=meal_type[:32],
description=description[:2000],
calories=calories,
protein_g=protein_g,
fat_g=fat_g,
carbs_g=carbs_g,
source=source[:32],
estimated=estimated,
)
self.db.add(row)
self.db.commit()
self.db.refresh(row)
return {"ok": True, "meal": self._food_to_dict(row)}
def log_water(self, amount_ml: int) -> dict[str, Any]:
row = WaterLog(amount_ml=max(0, amount_ml))
self.db.add(row)
self.db.commit()
self.db.refresh(row)
return {"ok": True, "water": self._water_to_dict(row)}
def log_weight(
self,
weight_kg: float,
*,
body_fat_pct: float | None = None,
chest_cm: float | None = None,
waist_cm: float | None = None,
notes: str = "",
) -> dict[str, Any]:
row = BodyMetric(
weight_kg=weight_kg,
body_fat_pct=body_fat_pct,
chest_cm=chest_cm,
waist_cm=waist_cm,
notes=notes[:1000],
)
self.db.add(row)
profile = self._get_profile_row()
if profile:
profile.weight_kg = weight_kg
targets = compute_targets(
{
"sex": profile.sex,
"age": profile.age,
"height_cm": profile.height_cm,
"weight_kg": weight_kg,
"activity_level": profile.activity_level,
"goal": profile.goal,
}
)
profile.calorie_target = targets["calorie_target"]
profile.protein_g = targets["protein_g"]
profile.fat_g = targets["fat_g"]
profile.carbs_g = targets["carbs_g"]
profile.water_l = targets["water_l"]
self.db.commit()
self.db.refresh(row)
return {
"ok": True,
"metric": {
"id": row.id,
"weight_kg": row.weight_kg,
"recorded_at": row.recorded_at.isoformat() if row.recorded_at else None,
},
}
def log_workout(
self,
*,
title: str,
notes: str = "",
duration_min: int | None = None,
exercises: list[dict[str, Any]] | None = None,
) -> dict[str, Any]:
row = WorkoutLog(
title=title[:255],
notes=notes[:2000],
duration_min=duration_min,
exercises_json=json.dumps(exercises or [], ensure_ascii=False),
)
self.db.add(row)
self.db.commit()
self.db.refresh(row)
return {"ok": True, "workout": self._workout_to_dict(row)}
def list_body_metrics(self, limit: int = 30) -> list[dict[str, Any]]:
rows = self.db.scalars(
select(BodyMetric).order_by(BodyMetric.recorded_at.desc()).limit(limit)
).all()
return [
{
"id": r.id,
"weight_kg": r.weight_kg,
"body_fat_pct": r.body_fat_pct,
"chest_cm": r.chest_cm,
"waist_cm": r.waist_cm,
"notes": r.notes,
"recorded_at": r.recorded_at.isoformat() if r.recorded_at else None,
}
for r in rows
]
def delete_food_log(self, log_id: int) -> bool:
row = self.db.get(FoodLog, log_id)
if not row:
return False
self.db.delete(row)
self.db.commit()
return True
def delete_water_log(self, log_id: int) -> bool:
row = self.db.get(WaterLog, log_id)
if not row:
return False
self.db.delete(row)
self.db.commit()
return True
def delete_workout_log(self, log_id: int) -> bool:
row = self.db.get(WorkoutLog, log_id)
if not row:
return False
self.db.delete(row)
self.db.commit()
return True
def list_reminders(self) -> list[dict[str, Any]]:
rows = self.db.scalars(select(FitnessReminder).order_by(FitnessReminder.kind)).all()
return [self._reminder_to_dict(r) for r in rows]
def set_reminder(
self,
kind: str,
*,
enabled: bool | None = None,
hour: int | None = None,
minute: int | None = None,
interval_hours: int | None = None,
) -> dict[str, Any]:
row = self.db.scalar(
select(FitnessReminder).where(FitnessReminder.kind == kind)
)
if not row:
row = FitnessReminder(kind=kind)
self.db.add(row)
if enabled is not None:
row.enabled = enabled
if hour is not None:
row.hour = hour
if minute is not None:
row.minute = minute
if interval_hours is not None:
row.interval_hours = interval_hours
self.db.commit()
self.db.refresh(row)
return {"ok": True, "reminder": self._reminder_to_dict(row)}
def calc_one_rm(self, weight_kg: float, reps: int) -> dict[str, Any]:
return {"ok": True, "one_rm_kg": one_rep_max(weight_kg, reps)}
def snapshot(self) -> dict[str, Any]:
return {
"profile": self.get_profile(),
"today": self.get_daily_summary(),
"body_metrics": self.list_body_metrics(limit=10),
"reminders": self.list_reminders(),
}
@staticmethod
def _food_to_dict(row: FoodLog) -> dict[str, Any]:
return {
"id": row.id,
"meal_type": row.meal_type,
"description": row.description,
"calories": row.calories,
"protein_g": row.protein_g,
"fat_g": row.fat_g,
"carbs_g": row.carbs_g,
"source": row.source,
"estimated": row.estimated,
"logged_at": row.logged_at.isoformat() if row.logged_at else None,
}
@staticmethod
def _water_to_dict(row: WaterLog) -> dict[str, Any]:
return {
"id": row.id,
"amount_ml": row.amount_ml,
"logged_at": row.logged_at.isoformat() if row.logged_at else None,
}
@staticmethod
def _workout_to_dict(row: WorkoutLog) -> dict[str, Any]:
try:
exercises = json.loads(row.exercises_json or "[]")
except json.JSONDecodeError:
exercises = []
return {
"id": row.id,
"title": row.title,
"notes": row.notes,
"duration_min": row.duration_min,
"exercises": exercises,
"logged_at": row.logged_at.isoformat() if row.logged_at else None,
}
@staticmethod
def _reminder_to_dict(row: FitnessReminder) -> dict[str, Any]:
return {
"id": row.id,
"kind": row.kind,
"hour": row.hour,
"minute": row.minute,
"interval_hours": row.interval_hours,
"enabled": row.enabled,
"last_fired_at": row.last_fired_at.isoformat() if row.last_fired_at else None,
}
+66
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@@ -0,0 +1,66 @@
import json
from typing import Any
from app.llm.client import LLMClient
from app.projects.structuring import strip_markdown_json
MEAL_PROMPT = """
Преобразуй описание еды в JSON. Только JSON, без markdown.
Схема:
{
"meal_type": "breakfast|lunch|dinner|snack",
"description": "краткое описание",
"calories": 0,
"protein_g": 0,
"fat_g": 0,
"carbs_g": 0,
"estimated": true
}
Правила:
- Оцени ккал и БЖУ по типичным значениям для России/СНГ.
- Все числа — float/int, метрическая система (г, ккал).
- meal_type угадай из контекста или snack.
- estimated всегда true для LLM-оценки.
""".strip()
WORKOUT_PROMPT = """
Преобразуй описание тренировки в JSON. Только JSON.
Схема:
{
"title": "название",
"duration_min": null,
"notes": "",
"exercises": [
{"name": "жим лёжа", "sets": 3, "reps": 8, "weight_kg": 80}
]
}
Правила:
- weight_kg в кг, метрическая система.
- Если данных нет — null или пустой массив.
""".strip()
async def structure_meal(raw_text: str) -> dict[str, Any]:
llm = LLMClient()
result = await llm.complete(
[
{"role": "system", "content": MEAL_PROMPT},
{"role": "user", "content": raw_text},
],
temperature=0.2,
)
raw = strip_markdown_json(result.get("content") or "")
return json.loads(raw)
async def structure_workout(raw_text: str) -> dict[str, Any]:
llm = LLMClient()
result = await llm.complete(
[
{"role": "system", "content": WORKOUT_PROMPT},
{"role": "user", "content": raw_text},
],
temperature=0.2,
)
raw = strip_markdown_json(result.get("content") or "")
return json.loads(raw)
+28
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@@ -0,0 +1,28 @@
import asyncio
import logging
from app.db.base import SessionLocal
from app.fitness.reminders import check_reminders
logger = logging.getLogger(__name__)
WATCH_INTERVAL_SEC = 60
async def fitness_watcher_loop() -> None:
while True:
try:
await asyncio.sleep(WATCH_INTERVAL_SEC)
await _tick()
except asyncio.CancelledError:
raise
except Exception:
logger.exception("Fitness watcher error")
async def _tick() -> None:
db = SessionLocal()
try:
check_reminders(db)
finally:
db.close()
+62
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@@ -0,0 +1,62 @@
from typing import Any
import httpx
from app.config import get_settings
class OpenFoodFactsClient:
def __init__(self) -> None:
settings = get_settings()
self.base_url = settings.openfoodfacts_base_url.rstrip("/")
def search(self, query: str, limit: int = 5) -> list[dict[str, Any]]:
with httpx.Client(timeout=20.0) as client:
response = client.get(
f"{self.base_url}/cgi/search.pl",
params={
"search_terms": query,
"search_simple": 1,
"action": "process",
"json": 1,
"page_size": limit,
"lc": "ru",
},
)
response.raise_for_status()
products = response.json().get("products") or []
out: list[dict[str, Any]] = []
for p in products[:limit]:
nutriments = p.get("nutriments") or {}
out.append(
{
"name": p.get("product_name") or p.get("product_name_ru") or query,
"brand": p.get("brands", ""),
"barcode": p.get("code"),
"calories_per_100g": nutriments.get("energy-kcal_100g"),
"protein_g_per_100g": nutriments.get("proteins_100g"),
"fat_g_per_100g": nutriments.get("fat_100g"),
"carbs_g_per_100g": nutriments.get("carbohydrates_100g"),
}
)
return out
def get_by_barcode(self, barcode: str) -> dict[str, Any] | None:
with httpx.Client(timeout=20.0) as client:
response = client.get(f"{self.base_url}/api/v2/product/{barcode}.json")
if response.status_code == 404:
return None
response.raise_for_status()
product = response.json().get("product")
if not product:
return None
nutriments = product.get("nutriments") or {}
return {
"name": product.get("product_name") or product.get("product_name_ru"),
"barcode": barcode,
"calories_per_100g": nutriments.get("energy-kcal_100g"),
"protein_g_per_100g": nutriments.get("proteins_100g"),
"fat_g_per_100g": nutriments.get("fat_100g"),
"carbs_g_per_100g": nutriments.get("carbohydrates_100g"),
}
+48
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@@ -0,0 +1,48 @@
from typing import Any
import httpx
from app.config import get_settings
class WgerClient:
def __init__(self) -> None:
settings = get_settings()
self.base_url = settings.wger_base_url.rstrip("/")
def search_exercises(self, query: str, limit: int = 8) -> list[dict[str, Any]]:
with httpx.Client(timeout=20.0) as client:
response = client.get(
f"{self.base_url}/exercise/search/",
params={"term": query, "language": "ru"},
)
response.raise_for_status()
data = response.json()
sug = data.get("suggestions", data) if isinstance(data, dict) else []
if isinstance(sug, dict):
results = sug.get("results", [])
elif isinstance(sug, list):
results = sug
else:
results = []
out: list[dict[str, Any]] = []
for item in results[:limit]:
if isinstance(item, dict):
name = item.get("value") or item.get("name") or str(item)
out.append({"name": name, "data": item})
elif isinstance(item, str):
out.append({"name": item})
if out:
return out
response2 = client.get(
f"{self.base_url}/exerciseinfo/",
params={"language": 2, "limit": limit},
)
response2.raise_for_status()
for item in (response2.json().get("results") or [])[:limit]:
name = item.get("name") or f"#{item.get('id')}"
if query.lower() in name.lower():
out.append({"id": item.get("id"), "name": name, "category": item.get("category")})
return out[:limit]
+8 -3
View File
@@ -7,17 +7,22 @@ from fastapi.middleware.cors import CORSMiddleware
from app.api.routes import api_router
from app.config import get_settings
from app.db.base import init_db
from app.fitness.watcher import fitness_watcher_loop
from app.pomodoro.watcher import pomodoro_watcher_loop
@asynccontextmanager
async def lifespan(_: FastAPI):
init_db()
watcher_task = asyncio.create_task(pomodoro_watcher_loop())
pomodoro_task = asyncio.create_task(pomodoro_watcher_loop())
fitness_task = asyncio.create_task(fitness_watcher_loop())
yield
watcher_task.cancel()
pomodoro_task.cancel()
fitness_task.cancel()
with suppress(asyncio.CancelledError):
await watcher_task
await pomodoro_task
with suppress(asyncio.CancelledError):
await fitness_task
def create_app() -> FastAPI:
+223
View File
@@ -3,6 +3,10 @@ from typing import Any
from sqlalchemy.orm import Session
from app.fitness.service import FitnessService
from app.fitness.structuring import structure_meal, structure_workout
from app.integrations.openfoodfacts import OpenFoodFactsClient
from app.integrations.wger import WgerClient
from app.memory.service import MemoryService
from app.pomodoro.service import PomodoroService
from app.projects.service import ProjectService
@@ -268,6 +272,164 @@ TOOL_DEFINITIONS: list[dict[str, Any]] = [
},
},
},
{
"type": "function",
"function": {
"name": "get_fitness_summary",
"description": "Сводка фитнеса за сегодня: ккал, БЖУ, вода, тренировки.",
"parameters": {"type": "object", "properties": {}, "required": []},
},
},
{
"type": "function",
"function": {
"name": "set_fitness_profile",
"description": "Настроить фитнес-профиль и пересчитать цели ккал/БЖУ/воды.",
"parameters": {
"type": "object",
"properties": {
"sex": {"type": "string", "description": "male/female"},
"age": {"type": "integer"},
"height_cm": {"type": "number"},
"weight_kg": {"type": "number"},
"activity_level": {
"type": "string",
"description": "sedentary/light/moderate/active/very_active",
},
"goal": {"type": "string", "description": "lose/maintain/gain"},
"target_weight_kg": {"type": "number"},
"weekly_workouts": {"type": "integer"},
},
"required": [],
},
},
},
{
"type": "function",
"function": {
"name": "calc_fitness_targets",
"description": "Калькулятор BMR/TDEE/макросов без сохранения.",
"parameters": {
"type": "object",
"properties": {
"sex": {"type": "string"},
"age": {"type": "integer"},
"height_cm": {"type": "number"},
"weight_kg": {"type": "number"},
"activity_level": {"type": "string"},
"goal": {"type": "string"},
},
"required": ["weight_kg", "height_cm", "age"],
},
},
},
{
"type": "function",
"function": {
"name": "log_meal",
"description": "Записать приём пищи. LLM оценит ккал и БЖУ из текста.",
"parameters": {
"type": "object",
"properties": {
"text": {"type": "string", "description": "Что съел"},
"meal_type": {"type": "string"},
},
"required": ["text"],
},
},
},
{
"type": "function",
"function": {
"name": "log_water",
"description": "Записать воду в мл.",
"parameters": {
"type": "object",
"properties": {
"amount_ml": {"type": "integer"},
},
"required": ["amount_ml"],
},
},
},
{
"type": "function",
"function": {
"name": "log_weight",
"description": "Записать вес в кг.",
"parameters": {
"type": "object",
"properties": {
"weight_kg": {"type": "number"},
"body_fat_pct": {"type": "number"},
"notes": {"type": "string"},
},
"required": ["weight_kg"],
},
},
},
{
"type": "function",
"function": {
"name": "log_workout",
"description": "Записать тренировку из текста.",
"parameters": {
"type": "object",
"properties": {
"text": {"type": "string"},
},
"required": ["text"],
},
},
},
{
"type": "function",
"function": {
"name": "lookup_food",
"description": "Поиск продукта в Open Food Facts (ккал на 100г).",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string"},
"limit": {"type": "integer"},
},
"required": ["query"],
},
},
},
{
"type": "function",
"function": {
"name": "lookup_exercise",
"description": "Поиск упражнения в базе wger.",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string"},
"limit": {"type": "integer"},
},
"required": ["query"],
},
},
},
{
"type": "function",
"function": {
"name": "set_fitness_reminder",
"description": "Вкл/выкл или настроить напоминание: water, meal, workout, weigh_in.",
"parameters": {
"type": "object",
"properties": {
"kind": {"type": "string"},
"enabled": {"type": "boolean"},
"hour": {"type": "integer"},
"minute": {"type": "integer"},
"interval_hours": {"type": "integer"},
},
"required": ["kind"],
},
},
},
{
"type": "function",
"function": {
@@ -299,6 +461,7 @@ async def execute_tool(
pomodoro = PomodoroService(db)
projects = ProjectService(db)
memory = MemoryService(db)
fitness = FitnessService(db)
try:
if name == "get_pomodoro_status":
@@ -370,6 +533,66 @@ async def execute_tool(
int(arguments["session_id"]),
arguments.get("summary", ""),
)
elif name == "get_fitness_summary":
result = fitness.get_daily_summary()
elif name == "set_fitness_profile":
updates = {
k: arguments[k]
for k in (
"sex", "age", "height_cm", "weight_kg", "activity_level",
"goal", "target_weight_kg", "weekly_workouts",
)
if k in arguments and arguments[k] is not None
}
result = fitness.set_profile(updates)
elif name == "calc_fitness_targets":
result = fitness.calc_targets(arguments)
elif name == "log_meal":
structured = await structure_meal(arguments.get("text", ""))
result = fitness.log_meal(
description=structured.get("description") or arguments.get("text", ""),
meal_type=arguments.get("meal_type") or structured.get("meal_type") or "snack",
calories=float(structured.get("calories") or 0),
protein_g=float(structured.get("protein_g") or 0),
fat_g=float(structured.get("fat_g") or 0),
carbs_g=float(structured.get("carbs_g") or 0),
source="llm",
estimated=True,
)
elif name == "log_water":
result = fitness.log_water(int(arguments.get("amount_ml", 250)))
elif name == "log_weight":
result = fitness.log_weight(
float(arguments["weight_kg"]),
body_fat_pct=arguments.get("body_fat_pct"),
notes=arguments.get("notes", ""),
)
elif name == "log_workout":
structured = await structure_workout(arguments.get("text", ""))
result = fitness.log_workout(
title=structured.get("title") or "Тренировка",
notes=structured.get("notes") or arguments.get("text", ""),
duration_min=structured.get("duration_min"),
exercises=structured.get("exercises"),
)
elif name == "lookup_food":
result = OpenFoodFactsClient().search(
arguments.get("query", ""),
limit=arguments.get("limit", 5),
)
elif name == "lookup_exercise":
result = WgerClient().search_exercises(
arguments.get("query", ""),
limit=arguments.get("limit", 8),
)
elif name == "set_fitness_reminder":
result = fitness.set_reminder(
arguments.get("kind", "water"),
enabled=arguments.get("enabled"),
hour=arguments.get("hour"),
minute=arguments.get("minute"),
interval_hours=arguments.get("interval_hours"),
)
else:
return json.dumps({"error": f"Unknown tool: {name}"}, ensure_ascii=False)
+3
View File
@@ -3,6 +3,7 @@ import PomodoroWidget from "./components/PomodoroWidget";
import { PomodoroProvider } from "./context/PomodoroContext";
import Character from "./pages/Character";
import Chat from "./pages/Chat";
import Fitness from "./pages/Fitness";
import Memory from "./pages/Memory";
import Pomodoro from "./pages/Pomodoro";
import "./App.css";
@@ -20,6 +21,7 @@ export default function App() {
<NavLink to="/pomodoro">Помидоро</NavLink>
<NavLink to="/character">Персонаж</NavLink>
<NavLink to="/memory">Память</NavLink>
<NavLink to="/fitness">Фитнес</NavLink>
<PomodoroWidget compact />
</nav>
</header>
@@ -29,6 +31,7 @@ export default function App() {
<Route path="/pomodoro" element={<Pomodoro />} />
<Route path="/character" element={<Character />} />
<Route path="/memory" element={<Memory />} />
<Route path="/fitness" element={<Fitness />} />
</Routes>
</main>
</div>
+118
View File
@@ -81,6 +81,99 @@ export interface MemoryFact {
updated_at?: string | null;
}
export interface FitnessComputed {
bmr: number;
tdee: number;
bmi: number;
}
export interface FitnessProfile {
sex?: string;
age?: number;
height_cm?: number;
weight_kg?: number;
activity_level?: string;
goal?: string;
target_weight_kg?: number | null;
weekly_workouts?: number;
calorie_target?: number;
protein_g?: number;
fat_g?: number;
carbs_g?: number;
water_l?: number;
computed?: FitnessComputed;
}
export interface FoodLogItem {
id: number;
meal_type: string;
description: string;
calories: number;
protein_g: number;
fat_g: number;
carbs_g: number;
estimated: boolean;
logged_at?: string;
}
export interface WaterLogItem {
id: number;
amount_ml: number;
logged_at?: string;
}
export interface WorkoutLogItem {
id: number;
title: string;
notes?: string;
duration_min?: number | null;
exercises?: unknown[];
logged_at?: string;
}
export interface FitnessDailySummary {
date: string;
totals: {
calories: number;
protein_g: number;
fat_g: number;
carbs_g: number;
water_ml: number;
};
targets: {
calories: number;
protein_g: number;
fat_g: number;
carbs_g: number;
water_ml: number;
};
meals: FoodLogItem[];
water: WaterLogItem[];
workouts: WorkoutLogItem[];
}
export interface BodyMetric {
id: number;
weight_kg: number;
recorded_at?: string;
}
export interface FitnessReminder {
id: number;
kind: string;
hour: number;
minute: number;
interval_hours?: number | null;
enabled: boolean;
}
export interface FitnessSnapshot {
profile: FitnessProfile | null;
today: FitnessDailySummary;
body_metrics: BodyMetric[];
reminders: FitnessReminder[];
}
export interface MemorySnapshot {
profile: UserProfile;
facts: MemoryFact[];
@@ -245,4 +338,29 @@ export const api = {
forgetMemoryFact: (id: number) =>
request<{ ok: boolean }>(`/api/v1/memory/facts/${id}`, { method: "DELETE" }),
getFitnessSnapshot: () => request<FitnessSnapshot>("/api/v1/fitness"),
updateFitnessProfile: (updates: Partial<FitnessProfile>) =>
request<{ ok: boolean; profile: FitnessProfile }>("/api/v1/fitness/profile", {
method: "PUT",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(updates),
}),
deleteFitnessMeal: (id: number) =>
request<{ ok: boolean }>(`/api/v1/fitness/meals/${id}`, { method: "DELETE" }),
deleteFitnessWater: (id: number) =>
request<{ ok: boolean }>(`/api/v1/fitness/water/${id}`, { method: "DELETE" }),
updateFitnessReminder: (
kind: string,
updates: { enabled?: boolean; hour?: number; minute?: number; interval_hours?: number }
) =>
request<{ ok: boolean }>(`/api/v1/fitness/reminders/${kind}`, {
method: "PUT",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(updates),
}),
};
+1
View File
@@ -16,6 +16,7 @@ function noticeLabel(content: string): string {
if (content.startsWith("📋")) return "задачи";
if (content.startsWith("🔀")) return "git";
if (content.startsWith("🧠")) return "память";
if (content.startsWith("💪")) return "фитнес";
return "система";
}
+179
View File
@@ -0,0 +1,179 @@
.fitness-page {
max-width: 900px;
margin: 0 auto;
padding: 1.5rem;
display: flex;
flex-direction: column;
gap: 1rem;
}
.fitness-header {
display: flex;
justify-content: space-between;
align-items: flex-start;
flex-wrap: wrap;
gap: 1rem;
}
.fitness-header h2 {
margin: 0 0 0.25rem;
}
.fitness-header p {
margin: 0;
color: #8b95a8;
font-size: 0.9rem;
}
.fitness-header-actions {
display: flex;
gap: 0.5rem;
}
.fitness-message {
padding: 0.6rem 0.9rem;
background: #1a2433;
border: 1px solid #2a3f5a;
border-radius: 8px;
}
.fitness-section {
background: #151922;
border: 1px solid #2a2f3a;
border-radius: 10px;
padding: 1rem 1.25rem;
}
.fitness-section h3 {
margin: 0 0 0.75rem;
}
.fitness-section h4 {
margin: 0.75rem 0 0.35rem;
font-size: 0.85rem;
color: #8b95a8;
}
.fitness-progress-grid {
display: flex;
flex-direction: column;
gap: 0.6rem;
}
.fitness-progress-header {
display: flex;
justify-content: space-between;
font-size: 0.85rem;
margin-bottom: 0.2rem;
}
.fitness-progress-track {
height: 8px;
background: #0f1218;
border-radius: 4px;
overflow: hidden;
}
.fitness-progress-fill {
height: 100%;
background: #3d7a5a;
border-radius: 4px;
}
.fitness-profile-form {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(140px, 1fr));
gap: 0.75rem;
}
.fitness-profile-form label {
display: flex;
flex-direction: column;
gap: 0.25rem;
font-size: 0.85rem;
color: #8b95a8;
}
.fitness-profile-form input,
.fitness-profile-form select {
padding: 0.45rem 0.6rem;
border-radius: 6px;
border: 1px solid #2a2f3a;
background: #0f1218;
color: #e8ecf1;
}
.fitness-profile-form button {
grid-column: 1 / -1;
justify-self: start;
}
.fitness-computed {
margin: 0.75rem 0 0;
font-size: 0.9rem;
color: #8b95a8;
}
.fitness-log-list {
list-style: none;
margin: 0;
padding: 0;
}
.fitness-log-list li {
display: flex;
justify-content: space-between;
align-items: center;
padding: 0.35rem 0;
border-bottom: 1px solid #1e2430;
font-size: 0.9rem;
}
.fitness-log-list button {
padding: 0 0.4rem;
font-size: 1rem;
line-height: 1;
}
.fitness-table {
width: 100%;
border-collapse: collapse;
font-size: 0.9rem;
}
.fitness-table th,
.fitness-table td {
text-align: left;
padding: 0.35rem 0.5rem;
border-bottom: 1px solid #1e2430;
}
.fitness-reminders {
list-style: none;
margin: 0;
padding: 0;
display: flex;
flex-direction: column;
gap: 0.5rem;
}
.fitness-reminders li {
display: flex;
gap: 1rem;
align-items: center;
}
.fitness-empty {
color: #8b95a8;
font-style: italic;
}
.fitness-raw {
background: #0f1218;
border: 1px solid #2a2f3a;
border-radius: 10px;
padding: 1rem;
overflow: auto;
font-size: 0.82rem;
max-height: 70vh;
}
+307
View File
@@ -0,0 +1,307 @@
import { FormEvent, useCallback, useEffect, useState } from "react";
import {
api,
FitnessProfile,
FitnessReminder,
FitnessSnapshot,
} from "../api/client";
import "./Fitness.css";
function ProgressBar({ label, current, target, unit }: {
label: string;
current: number;
target: number;
unit: string;
}) {
const pct = target > 0 ? Math.min(100, (current / target) * 100) : 0;
return (
<div className="fitness-progress">
<div className="fitness-progress-header">
<span>{label}</span>
<span>
{current.toFixed(0)}/{target.toFixed(0)} {unit}
</span>
</div>
<div className="fitness-progress-track">
<div className="fitness-progress-fill" style={{ width: `${pct}%` }} />
</div>
</div>
);
}
export default function Fitness() {
const [snapshot, setSnapshot] = useState<FitnessSnapshot | null>(null);
const [profile, setProfile] = useState<Partial<FitnessProfile>>({});
const [message, setMessage] = useState("");
const [showRaw, setShowRaw] = useState(false);
const [loading, setLoading] = useState(false);
const load = useCallback(async () => {
setLoading(true);
try {
const data = await api.getFitnessSnapshot();
setSnapshot(data);
if (data.profile) setProfile(data.profile);
} catch (err) {
setMessage(err instanceof Error ? err.message : "Ошибка загрузки");
} finally {
setLoading(false);
}
}, []);
useEffect(() => {
load().catch(console.error);
}, [load]);
const handleProfileSave = async (e: FormEvent) => {
e.preventDefault();
try {
await api.updateFitnessProfile(profile);
setMessage("Профиль сохранён");
await load();
} catch (err) {
setMessage(err instanceof Error ? err.message : "Ошибка");
}
};
const handleToggleReminder = async (rem: FitnessReminder) => {
try {
await api.updateFitnessReminder(rem.kind, { enabled: !rem.enabled });
await load();
} catch (err) {
setMessage(err instanceof Error ? err.message : "Ошибка");
}
};
const handleDeleteMeal = async (id: number) => {
await api.deleteFitnessMeal(id);
await load();
};
const handleDeleteWater = async (id: number) => {
await api.deleteFitnessWater(id);
await load();
};
const today = snapshot?.today;
const totals = today?.totals;
const targets = today?.targets;
return (
<div className="fitness-page">
<header className="fitness-header">
<div>
<h2>Фитнес</h2>
<p>Дневник, цели, напоминания</p>
</div>
<div className="fitness-header-actions">
<button type="button" onClick={() => load()} disabled={loading}>
{loading ? "…" : "Обновить"}
</button>
<button type="button" onClick={() => setShowRaw((v) => !v)}>
{showRaw ? "UI" : "JSON"}
</button>
</div>
</header>
{message && <div className="fitness-message">{message}</div>}
{showRaw ? (
<pre className="fitness-raw">{JSON.stringify(snapshot, null, 2)}</pre>
) : (
<>
<section className="fitness-section">
<h3>Сегодня</h3>
{totals && targets ? (
<div className="fitness-progress-grid">
<ProgressBar
label="Калории"
current={totals.calories}
target={targets.calories}
unit="ккал"
/>
<ProgressBar
label="Белок"
current={totals.protein_g}
target={targets.protein_g}
unit="г"
/>
<ProgressBar
label="Жиры"
current={totals.fat_g}
target={targets.fat_g}
unit="г"
/>
<ProgressBar
label="Углеводы"
current={totals.carbs_g}
target={targets.carbs_g}
unit="г"
/>
<ProgressBar
label="Вода"
current={totals.water_ml / 1000}
target={targets.water_ml / 1000}
unit="л"
/>
</div>
) : (
<p className="fitness-empty">Нет данных за сегодня</p>
)}
</section>
<section className="fitness-section">
<h3>Профиль и цели</h3>
<form className="fitness-profile-form" onSubmit={handleProfileSave}>
<label>
<span>пол</span>
<select
value={profile.sex ?? "male"}
onChange={(e) => setProfile((p) => ({ ...p, sex: e.target.value }))}
>
<option value="male">male</option>
<option value="female">female</option>
</select>
</label>
<label>
<span>возраст</span>
<input
type="number"
value={profile.age ?? ""}
onChange={(e) =>
setProfile((p) => ({ ...p, age: Number(e.target.value) }))
}
/>
</label>
<label>
<span>рост см</span>
<input
type="number"
value={profile.height_cm ?? ""}
onChange={(e) =>
setProfile((p) => ({ ...p, height_cm: Number(e.target.value) }))
}
/>
</label>
<label>
<span>вес кг</span>
<input
type="number"
value={profile.weight_kg ?? ""}
onChange={(e) =>
setProfile((p) => ({ ...p, weight_kg: Number(e.target.value) }))
}
/>
</label>
<label>
<span>активность</span>
<select
value={profile.activity_level ?? "moderate"}
onChange={(e) =>
setProfile((p) => ({ ...p, activity_level: e.target.value }))
}
>
<option value="sedentary">sedentary</option>
<option value="light">light</option>
<option value="moderate">moderate</option>
<option value="active">active</option>
<option value="very_active">very_active</option>
</select>
</label>
<label>
<span>цель</span>
<select
value={profile.goal ?? "maintain"}
onChange={(e) => setProfile((p) => ({ ...p, goal: e.target.value }))}
>
<option value="lose">lose</option>
<option value="maintain">maintain</option>
<option value="gain">gain</option>
</select>
</label>
<button type="submit">Сохранить и пересчитать TDEE</button>
</form>
{profile.computed && (
<p className="fitness-computed">
BMR {profile.computed.bmr} · TDEE {profile.computed.tdee} · BMI{" "}
{profile.computed.bmi}
</p>
)}
</section>
<section className="fitness-section">
<h3>Логи за сегодня</h3>
<h4>Еда</h4>
<ul className="fitness-log-list">
{(today?.meals ?? []).map((m) => (
<li key={m.id}>
{m.estimated ? "≈" : ""}
{m.description} {m.calories} ккал
<button type="button" onClick={() => handleDeleteMeal(m.id)}>
×
</button>
</li>
))}
</ul>
<h4>Вода</h4>
<ul className="fitness-log-list">
{(today?.water ?? []).map((w) => (
<li key={w.id}>
+{w.amount_ml} мл
<button type="button" onClick={() => handleDeleteWater(w.id)}>
×
</button>
</li>
))}
</ul>
<h4>Тренировки</h4>
<ul className="fitness-log-list">
{(today?.workouts ?? []).map((w) => (
<li key={w.id}>{w.title}</li>
))}
</ul>
</section>
<section className="fitness-section">
<h3>История веса</h3>
<table className="fitness-table">
<thead>
<tr>
<th>Дата</th>
<th>кг</th>
</tr>
</thead>
<tbody>
{(snapshot?.body_metrics ?? []).map((m) => (
<tr key={m.id}>
<td>{m.recorded_at?.slice(0, 10)}</td>
<td>{m.weight_kg}</td>
</tr>
))}
</tbody>
</table>
</section>
<section className="fitness-section">
<h3>Напоминания</h3>
<ul className="fitness-reminders">
{(snapshot?.reminders ?? []).map((r) => (
<li key={r.id}>
<span>{r.kind}</span>
<span>
{r.interval_hours
? `каждые ${r.interval_hours}ч`
: `${String(r.hour).padStart(2, "0")}:${String(r.minute).padStart(2, "0")}`}
</span>
<button type="button" onClick={() => handleToggleReminder(r)}>
{r.enabled ? "вкл" : "выкл"}
</button>
</li>
))}
</ul>
</section>
</>
)}
</div>
);
}