"""
OCR routes for card scanning and recognition
"""

from fastapi import APIRouter, Depends, HTTPException, UploadFile, File
from sqlalchemy.orm import Session
from pydantic import BaseModel
from typing import List, Optional

from app.database import get_db
from app.models.user import User
from app.routers.auth import get_current_user

router = APIRouter()


# Pydantic models
class OCRResult(BaseModel):
    card_name: Optional[str]
    set_name: Optional[str]
    confidence: float
    raw_text: str
    bounding_boxes: List[dict]


class ScanResult(BaseModel):
    success: bool
    cards_found: List[OCRResult]
    processing_time: float
    image_path: str


# Routes
@router.post("/scan", response_model=ScanResult)
async def scan_card(
    file: UploadFile = File(...),
    current_user: User = Depends(get_current_user),
    db: Session = Depends(get_db)
):
    """
    Scan a trading card image using OCR
    """
    # TODO: Implement OCR processing
    # 1. Save uploaded image
    # 2. Process with OpenCV/Tesseract
    # 3. Extract text and match to known cards
    # 4. Return results
    
    return ScanResult(
        success=False,
        cards_found=[],
        processing_time=0.0,
        image_path="",
    )


@router.post("/batch-scan")
async def batch_scan_cards(
    files: List[UploadFile] = File(...),
    current_user: User = Depends(get_current_user),
    db: Session = Depends(get_db)
):
    """
    Scan multiple card images in batch
    """
    # TODO: Implement batch OCR processing
    
    return {"message": "Batch OCR not implemented yet"}


@router.get("/supported-games")
async def get_supported_games():
    """
    Get list of trading card games supported by OCR
    """
    return {
        "games": [
            {"name": "Magic: The Gathering", "code": "MTG", "supported": True},
            {"name": "Pokemon", "code": "POKEMON", "supported": True},
            {"name": "Disney Lorcana", "code": "LORCANA", "supported": True},
        ]
    }