extract_ocr.py

#!/usr/bin/env python3
"""
OCR Extrator - Extrai texto de screenshots do Taobao usando PaddleOCR
"""

import json
import re
import sys
from pathlib import Path
from paddleocr import PaddleOCR

# Inicializa OCR (chinês + inglês)
ocr = PaddleOCR(lang='ch')

def extract_text_from_image(image_path):
    """Extrai todo o texto da imagem"""
    result = ocr.ocr(str(image_path))

    texts = []
    if result and result[0]:
        for line in result[0]:
            if line:
                box, (text, confidence) = line
                if confidence > 0.5:  # Só confia em > 50%
                    texts.append({
                        'text': text,
                        'confidence': confidence,
                        'box': box
                    })

    return texts

def extract_products(texts):
    """Extrai produtos do texto OCR"""
    products = []

    # Padrões
    price_pattern = r'[¥￥]\s*(\d+[.,]\d+)'
    number_pattern = r'(\d{1,5})[.,](\d{2})'

    for i, item in enumerate(texts):
        text = item['text']

        # Procura preço
        price_match = re.search(price_pattern, text)
        if price_match:
            price_str = price_match.group(1).replace(',', '.')
            try:
                price = float(price_str)
                if 10 < price < 10000:  # Preço razoável
                    # Título pode estar nas linhas anteriores
                    title_lines = []
                    for j in range(max(0, i-3), i):
                        prev_text = texts[j]['text']
                        if len(prev_text) > 3 and not re.search(price_pattern, prev_text):
                            title_lines.append(prev_text)

                    title = ' '.join(title_lines) if title_lines else text

                    products.append({
                        'title': title[:100],
                        'price': price,
                        'raw_text': text,
                        'confidence': item['confidence']
                    })
            except:
                pass

    return products

def main():
    screenshot_dir = Path("/tmp/taobao_results")
    output_file = Path("/tmp/taobao_products_ocr.json")

    print("=" * 60)
    print("  TAOBAO OCR EXTRACTOR")
    print("=" * 60)

    screenshots = sorted(screenshot_dir.glob("*.png"))

    if not screenshots:
        print("Nenhum screenshot encontrado")
        return

    all_products = []

    for img_path in screenshots:
        print(f"\n🔍 Processando: {img_path.name}")

        texts = extract_text_from_image(img_path)
        print(f"   Textos extraídos: {len(texts)}")

        # Mostra alguns textos
        for t in texts[:5]:
            print(f"   - {t['text'][:50]} (conf: {t['confidence']:.2f})")

        products = extract_products(texts)
        print(f"   Produtos: {len(products)}")

        all_products.extend(products)

    # Salva
    result = {
        'total_products': len(all_products),
        'products': all_products
    }

    with open(output_file, 'w', encoding='utf-8') as f:
        json.dump(result, f, indent=2, ensure_ascii=False)

    print(f"\n✅ Salvo: {output_file}")
    print(f"📦 Total de produtos: {len(all_products)}")

if __name__ == "__main__":
    main()