ca05c91799
Model Loader: - Update model_loader.py with complete dots.ocr loading code - Proper device detection (CUDA/CPU/MPS) with fallback - Memory optimization (low_cpu_mem_usage) - Better error handling and logging - Support for local model paths and HF Hub Docker: - Multi-stage Dockerfile (CPU/CUDA builds) - docker-compose.yml for parser-service - .dockerignore for clean builds - Model cache volume for persistence Configuration: - Support DOTS_OCR_MODEL_ID and DEVICE env vars (backward compatible) - Better defaults and environment variable handling Deployment: - Add DEPLOYMENT.md with detailed instructions - Local deployment (venv) - Docker Compose deployment - Ollama runtime setup - Troubleshooting guide Integration: - Add parser-service to main docker-compose.yml - Configure volumes and networks - Health checks and dependencies
53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
"""
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Configuration for PARSER Service
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"""
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import os
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from typing import Literal, Optional
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from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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"""Application settings"""
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# Service
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API_HOST: str = "0.0.0.0"
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API_PORT: int = 9400
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# PARSER Model
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PARSER_MODEL_NAME: str = os.getenv("PARSER_MODEL_NAME", os.getenv("DOTS_OCR_MODEL_ID", "rednote-hilab/dots.ocr"))
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PARSER_DEVICE: Literal["cuda", "cpu", "mps"] = os.getenv("PARSER_DEVICE", os.getenv("DEVICE", "cpu"))
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PARSER_MAX_PAGES: int = int(os.getenv("PARSER_MAX_PAGES", "100"))
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PARSER_MAX_RESOLUTION: str = os.getenv("PARSER_MAX_RESOLUTION", "4096x4096")
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PARSER_BATCH_SIZE: int = int(os.getenv("PARSER_BATCH_SIZE", "1"))
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# File handling
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MAX_FILE_SIZE_MB: int = int(os.getenv("MAX_FILE_SIZE_MB", "50"))
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TEMP_DIR: str = os.getenv("TEMP_DIR", "/tmp/parser")
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# PDF processing
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PDF_DPI: int = int(os.getenv("PDF_DPI", "200"))
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PAGE_RANGE: Optional[str] = os.getenv("PAGE_RANGE", None) # e.g., "1-20" for pages 1-20
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# Image processing
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IMAGE_MAX_SIZE: int = int(os.getenv("IMAGE_MAX_SIZE", "2048")) # Max size for longest side
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# Parser mode
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USE_DUMMY_PARSER: bool = os.getenv("USE_DUMMY_PARSER", "false").lower() == "true"
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ALLOW_DUMMY_FALLBACK: bool = os.getenv("ALLOW_DUMMY_FALLBACK", "true").lower() == "true"
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# Runtime
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RUNTIME_TYPE: Literal["local", "remote", "ollama"] = os.getenv("RUNTIME_TYPE", "local")
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RUNTIME_URL: str = os.getenv("RUNTIME_URL", "http://parser-runtime:11435")
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# Ollama configuration (if RUNTIME_TYPE=ollama)
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OLLAMA_BASE_URL: str = os.getenv("OLLAMA_BASE_URL", "http://localhost:11434")
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class Config:
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env_file = ".env"
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case_sensitive = True
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settings = Settings()
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