5e7cfc019e
- Create parser-service/ with full structure - Add FastAPI app with endpoints (/parse, /parse_qa, /parse_markdown, /parse_chunks) - Add Pydantic schemas (ParsedDocument, ParsedBlock, ParsedChunk, etc.) - Add runtime module with model_loader and inference (with dummy parser) - Add configuration, Dockerfile, requirements.txt - Update TODO-PARSER-RAG.md with completed tasks - Ready for dots.ocr model integration
39 lines
1.1 KiB
Python
39 lines
1.1 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
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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", "rednote-hilab/dots.ocr")
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PARSER_DEVICE: Literal["cuda", "cpu", "mps"] = os.getenv("PARSER_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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# Runtime
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RUNTIME_TYPE: Literal["local", "remote"] = os.getenv("RUNTIME_TYPE", "local")
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RUNTIME_URL: str = os.getenv("RUNTIME_URL", "http://parser-runtime:11435")
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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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