45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
"""
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app/config.py — zentrale Konfiguration (ENV → Settings)
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Version:
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0.3.1 (WP-05: Switch default to Mistral for CPU inference)
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Stand:
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2025-12-08
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"""
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from __future__ import annotations
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import os
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from functools import lru_cache
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from pathlib import Path
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class Settings:
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# Qdrant
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QDRANT_URL: str = os.getenv("QDRANT_URL", "http://127.0.0.1:6333")
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QDRANT_API_KEY: str | None = os.getenv("QDRANT_API_KEY")
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COLLECTION_PREFIX: str = os.getenv("MINDNET_PREFIX", "mindnet")
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VECTOR_SIZE: int = int(os.getenv("MINDNET_VECTOR_SIZE", "384"))
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DISTANCE: str = os.getenv("MINDNET_DISTANCE", "Cosine")
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# Embeddings
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MODEL_NAME: str = os.getenv("MINDNET_MODEL", "sentence-transformers/all-MiniLM-L6-v2")
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# WP-05 LLM / Ollama
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OLLAMA_URL: str = os.getenv("MINDNET_OLLAMA_URL", "http://127.0.0.1:11434")
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# ÄNDERUNG: Standard auf 'mistral' gesetzt, da bereits lokal vorhanden
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LLM_MODEL: str = os.getenv("MINDNET_LLM_MODEL", "mistral")
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PROMPTS_PATH: str = os.getenv("MINDNET_PROMPTS_PATH", "config/prompts.yaml")
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# API
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DEBUG: bool = os.getenv("DEBUG", "false").lower() == "true"
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# WP-04 Retriever Defaults
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RETRIEVER_W_SEM: float = float(os.getenv("MINDNET_WP04_W_SEM", "0.70"))
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RETRIEVER_W_EDGE: float = float(os.getenv("MINDNET_WP04_W_EDGE", "0.25"))
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RETRIEVER_W_CENT: float = float(os.getenv("MINDNET_WP04_W_CENT", "0.05"))
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RETRIEVER_TOP_K: int = int(os.getenv("MINDNET_WP04_TOP_K", "10"))
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RETRIEVER_EXPAND_DEPTH: int = int(os.getenv("MINDNET_WP04_EXPAND_DEPTH", "1"))
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RETRIEVER_EDGE_TYPES: str = os.getenv("MINDNET_WP04_EDGE_TYPES", "references,belongs_to,prev,next")
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@lru_cache
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def get_settings() -> Settings:
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return Settings() |