fcc516c9b3
- Integrar Tesseract OCR para leer PDFs escaneados automáticamente - Detectar automáticamente si el PDF tiene texto o requiere OCR - Agregar servicio ocr_service.py con funciones de OCR - Actualizar Dockerfile con tesseract-ocr, tesseract-ocr-spa y poppler-utils - Agregar variables de configuración OCR (OCR_ENABLED, OCR_LANGUAGE, OCR_DPI, OCR_TIMEOUT) - Crear endpoint de debug para ver texto extraído (/api/v1/debug/extract-text) - Agregar scripts de instalación y prueba (install_ocr.ps1, test_ocr.py, debug_pdf.ps1) - Documentación completa (OCR_SETUP.md, DOCKER_OCR.md, COMO_PROBAR.md) - Actualizar docker-compose.yml con variables de entorno OCR - Modificar pdf_text.py para usar OCR cuando sea necesario - Actualizar requirements.txt con pytesseract, Pillow, pdf2image
46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
"""Configuration management using Pydantic Settings."""
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from pydantic_settings import BaseSettings
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from functools import lru_cache
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class Settings(BaseSettings):
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"""Application settings loaded from environment variables."""
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# Service Info
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service_name: str = "mve-incrementables-parser"
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service_version: str = "1.0.0"
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# Authentication
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auth_username: str
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auth_password_hash: str
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jwt_secret: str
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jwt_expires_minutes: int = 60
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jwt_algorithm: str = "HS256"
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# File Upload
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max_file_mb: int = 10
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# OCR Settings
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ocr_enabled: bool = True
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ocr_language: str = "spa" # "spa" for Spanish, "eng" for English
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ocr_dpi: int = 300 # Higher = better quality but slower
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ocr_timeout: int = 300 # Maximum time in seconds for OCR
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# Logging
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log_level: str = "INFO"
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# Redis/Celery
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redis_url: str = "redis://localhost:6379/0"
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celery_broker_url: str = "redis://localhost:6379/0"
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celery_result_backend: str = "redis://localhost:6379/0"
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class Config:
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env_file = ".env"
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case_sensitive = False
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@lru_cache()
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def get_settings() -> Settings:
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"""Get cached settings instance."""
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return Settings()
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