00f9102e50
Ollama Runtime: - Add ollama_client.py for Ollama API integration - Support for dots-ocr model via Ollama - Add OLLAMA_BASE_URL configuration - Update inference.py to support Ollama runtime (RUNTIME_TYPE=ollama) - Update endpoints to handle async Ollama calls - Alternative to local transformers model RAG Implementation Plan: - Create TODO-RAG.md with detailed Haystack integration plan - Document Store setup (pgvector) - Embedding model selection - Ingest pipeline (PARSER → RAG) - Query pipeline (RAG → LLM) - Integration with DAGI Router - Bot commands (/upload_doc, /ask_doc) - Testing strategy Now supports three runtime modes: 1. Local transformers (RUNTIME_TYPE=local) 2. Ollama (RUNTIME_TYPE=ollama) 3. Dummy (USE_DUMMY_PARSER=true)
53 lines
1.7 KiB
Python
53 lines
1.7 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", "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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# 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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