82 lines
1.9 KiB
Python
82 lines
1.9 KiB
Python
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"""
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OCR routes for card scanning and recognition
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"""
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from fastapi import APIRouter, Depends, HTTPException, UploadFile, File
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from sqlalchemy.orm import Session
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from pydantic import BaseModel
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from typing import List, Optional
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from app.database import get_db
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from app.models.user import User
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from app.routers.auth import get_current_user
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router = APIRouter()
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# Pydantic models
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class OCRResult(BaseModel):
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card_name: Optional[str]
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set_name: Optional[str]
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confidence: float
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raw_text: str
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bounding_boxes: List[dict]
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class ScanResult(BaseModel):
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success: bool
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cards_found: List[OCRResult]
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processing_time: float
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image_path: str
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# Routes
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@router.post("/scan", response_model=ScanResult)
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async def scan_card(
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file: UploadFile = File(...),
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db)
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):
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"""
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Scan a trading card image using OCR
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"""
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# TODO: Implement OCR processing
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# 1. Save uploaded image
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# 2. Process with OpenCV/Tesseract
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# 3. Extract text and match to known cards
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# 4. Return results
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return ScanResult(
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success=False,
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cards_found=[],
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processing_time=0.0,
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image_path="",
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)
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@router.post("/batch-scan")
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async def batch_scan_cards(
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files: List[UploadFile] = File(...),
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db)
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):
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"""
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Scan multiple card images in batch
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"""
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# TODO: Implement batch OCR processing
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return {"message": "Batch OCR not implemented yet"}
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@router.get("/supported-games")
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async def get_supported_games():
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"""
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Get list of trading card games supported by OCR
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"""
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return {
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"games": [
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{"name": "Magic: The Gathering", "code": "MTG", "supported": True},
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{"name": "Pokemon", "code": "POKEMON", "supported": True},
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{"name": "Disney Lorcana", "code": "LORCANA", "supported": True},
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]
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}
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