from datetime import date as date_type
from datetime import datetime
from typing import Any

import litellm
from fastapi import APIRouter, Depends, File, Form, HTTPException, Query, UploadFile
from pydantic import BaseModel
from sqlmodel import Session, select

from app.ai.nutrition import NutritionalInfo, analyze_nutrition_from_image, nutrition_module
from app.api import deps
from app.models.food import FoodLog  # Added FoodItem

router = APIRouter()


class AnalyzeRequest(BaseModel):
    description: str


class FoodLogCreate(BaseModel):
    name: str
    calories: float
    protein: float
    carbs: float
    fats: float


@router.post("/analyze", response_model=NutritionalInfo)
def analyze_food(
    request: AnalyzeRequest,
    current_user: deps.CurrentUser,
) -> Any:
    """
    Analyze food description and return nutritional info using DSPy.
    """
    try:
        result = nutrition_module(description=request.description)
        return result.nutritional_info
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@router.post("/analyze/image", response_model=NutritionalInfo)
async def analyze_food_image(
    current_user: deps.CurrentUser,
    file: UploadFile = File(...),
    description: str = Form(""),
) -> Any:
    """
    Analyze food image and return nutritional info.
    """
    try:
        contents = await file.read()
        return analyze_nutrition_from_image(contents, description)
    except litellm.exceptions.BadRequestError as e:
        raise HTTPException(status_code=400, detail=f"Invalid image or request: {str(e)}")
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@router.post("/log", response_model=FoodLog)
def log_food(
    *,
    session: Session = Depends(deps.get_session),
    nutrition_info: FoodLogCreate,
    current_user: deps.CurrentUser,
) -> Any:
    """
    Save food log to database.
    """
    food_log = FoodLog(
        user_id=current_user.id,
        name=nutrition_info.name,
        calories=nutrition_info.calories,
        protein=nutrition_info.protein,
        carbs=nutrition_info.carbs,
        fats=nutrition_info.fats,
    )
    session.add(food_log)
    session.commit()
    session.refresh(food_log)
    return food_log


@router.get("/logs", response_model=list[FoodLog])
def read_logs(
    current_user: deps.CurrentUser,
    session: Session = Depends(deps.get_session),
    skip: int = 0,
    limit: int = 100,
) -> Any:
    """
    Get food logs for current user.
    """
    statement = (
        select(FoodLog)
        .where(FoodLog.user_id == current_user.id)
        .order_by(FoodLog.timestamp.desc())
        .offset(skip)
        .limit(limit)
    )
    return session.exec(statement).all()


class NutritionSummary(BaseModel):
    date: str
    total_calories: float
    total_protein: float
    total_carbs: float
    total_fats: float
    log_count: int
    target_calories: float | None
    target_protein: float | None
    target_carbs: float | None
    target_fat: float | None


@router.get("/summary", response_model=NutritionSummary)
def get_nutrition_summary(
    current_user: deps.CurrentUser,
    session: Session = Depends(deps.get_session),
    date: str = Query(default=None, description="Date in YYYY-MM-DD format, defaults to today"),
) -> Any:
    """
    Get aggregated macro totals for a given day.
    """
    if date:
        target_date = datetime.strptime(date, "%Y-%m-%d").date()
    else:
        target_date = date_type.today()

    start = datetime(target_date.year, target_date.month, target_date.day, 0, 0, 0)
    end = datetime(target_date.year, target_date.month, target_date.day, 23, 59, 59)

    statement = (
        select(FoodLog)
        .where(FoodLog.user_id == current_user.id)
        .where(FoodLog.timestamp >= start)
        .where(FoodLog.timestamp <= end)
    )
    logs = session.exec(statement).all()

    return NutritionSummary(
        date=target_date.isoformat(),
        total_calories=sum(log.calories for log in logs),
        total_protein=sum(log.protein for log in logs),
        total_carbs=sum(log.carbs for log in logs),
        total_fats=sum(log.fats for log in logs),
        log_count=len(logs),
        target_calories=getattr(current_user, "target_calories", None),
        target_protein=getattr(current_user, "target_protein", None),
        target_carbs=getattr(current_user, "target_carbs", None),
        target_fat=getattr(current_user, "target_fat", None),
    )