"""Profitability Analysis Router"""
from fastapi import APIRouter, UploadFile, File
from pydantic import BaseModel
from typing import Optional
from datetime import date

router = APIRouter()


class CostRevenueEntry(BaseModel):
    date: date
    feature: str
    ai_cost: float
    revenue: float
    requests: int


class ROIAnalysis(BaseModel):
    feature: str
    total_cost: float
    total_revenue: float
    net_profit: float
    roi_percent: float
    cost_per_request: float
    revenue_per_request: float


class ProfitabilityReport(BaseModel):
    period: str
    total_ai_cost: float
    total_revenue: float
    overall_roi: float
    by_feature: list[ROIAnalysis]
    optimization_opportunities: list[dict]


@router.post("/analyze", response_model=ProfitabilityReport)
async def analyze_profitability(
    costs_file: UploadFile = File(...),
    revenue_file: Optional[UploadFile] = File(None)
):
    """Analyze AI costs vs revenue"""
    # TODO: Implement profitability analysis
    return ProfitabilityReport(
        period="current_month",
        total_ai_cost=0.0,
        total_revenue=0.0,
        overall_roi=0.0,
        by_feature=[],
        optimization_opportunities=[]
    )


@router.post("/log-entry")
async def log_cost_revenue(entry: CostRevenueEntry):
    """Log a cost/revenue entry"""
    # TODO: Implement entry logging
    return {"message": "Entry logged", "entry": entry}


@router.get("/trends")
async def get_trends(
    start_date: Optional[date] = None,
    end_date: Optional[date] = None,
    granularity: str = "daily"  # daily, weekly, monthly
):
    """Get profitability trends over time"""
    # TODO: Implement trend analysis
    return {
        "trends": [],
        "granularity": granularity
    }


@router.get("/recommendations")
async def get_optimization_recommendations():
    """Get cost optimization recommendations"""
    # TODO: Implement recommendation engine
    return {
        "recommendations": [
            {"type": "model_switch", "description": "Switch feature X from GPT-4 to GPT-3.5", "savings": 0.0},
            {"type": "caching", "description": "Implement caching for repeated queries", "savings": 0.0},
            {"type": "batching", "description": "Batch requests for feature Y", "savings": 0.0},
        ]
    }