77 lines
3.7 KiB
Python
77 lines
3.7 KiB
Python
"""
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FILE: app/config.py
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DESCRIPTION: Zentrale Pydantic-Konfiguration. Enthält Parameter für Qdrant,
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Embeddings, Ollama, Google GenAI und OpenRouter.
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WP-20: Optimiert für Hybrid-Cloud Modus und Vektor-Synchronisation.
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WP-22: Integration von Change-Detection und Vocab-Paths.
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FIX: Hinzufügen von load_dotenv(), um Umgebungsvariablen aus .env aktiv zu laden.
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VERSION: 0.6.3
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STATUS: Active
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DEPENDENCIES: os, functools, pathlib, python-dotenv
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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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from dotenv import load_dotenv
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# WP-20: Lade Umgebungsvariablen aus der .env Datei
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# Muss vor dem Zugriff auf os.getenv erfolgen!
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load_dotenv()
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class Settings:
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# --- Qdrant Datenbank ---
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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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# WP-22: Vektor-Dimension muss mit dem Embedding-Modell (nomic) übereinstimmen
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VECTOR_SIZE: int = int(os.getenv("VECTOR_DIM", "768"))
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DISTANCE: str = os.getenv("MINDNET_DISTANCE", "Cosine")
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# --- Lokale Embeddings (Ollama & Sentence-Transformers) ---
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EMBEDDING_MODEL: str = os.getenv("MINDNET_EMBEDDING_MODEL", "nomic-embed-text")
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MODEL_NAME: str = os.getenv("MINDNET_MODEL", "sentence-transformers/all-MiniLM-L6-v2")
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# --- WP-20 Hybrid LLM Provider ---
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# Erlaubt: "ollama" | "gemini" | "openrouter"
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MINDNET_LLM_PROVIDER: str = os.getenv("MINDNET_LLM_PROVIDER", "ollama").lower()
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# Google AI Studio (Direkt)
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GOOGLE_API_KEY: str | None = os.getenv("GOOGLE_API_KEY")
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GEMINI_MODEL: str = os.getenv("MINDNET_GEMINI_MODEL", "gemini-1.5-flash")
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GEMMA_MODEL: str = os.getenv("MINDNET_GEMMA_MODEL", "google/gemma-2-9b-it:free")
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# OpenRouter Integration
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OPENROUTER_API_KEY: str | None = os.getenv("OPENROUTER_API_KEY")
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OPENROUTER_MODEL: str = os.getenv("OPENROUTER_MODEL", "google/gemma-2-9b-it:free")
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LLM_FALLBACK_ENABLED: bool = os.getenv("MINDNET_LLM_FALLBACK", "true").lower() == "true"
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# --- WP-05 Lokales LLM (Ollama) ---
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OLLAMA_URL: str = os.getenv("MINDNET_OLLAMA_URL", "http://127.0.0.1:11434")
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LLM_MODEL: str = os.getenv("MINDNET_LLM_MODEL", "phi3:mini")
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PROMPTS_PATH: str = os.getenv("MINDNET_PROMPTS_PATH", "config/prompts.yaml")
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# --- WP-06 / WP-14 Performance & Last-Steuerung ---
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LLM_TIMEOUT: float = float(os.getenv("MINDNET_LLM_TIMEOUT", "300.0"))
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DECISION_CONFIG_PATH: str = os.getenv("MINDNET_DECISION_CONFIG", "config/decision_engine.yaml")
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BACKGROUND_LIMIT: int = int(os.getenv("MINDNET_LLM_BACKGROUND_LIMIT", "2"))
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# --- System-Pfade & Ingestion-Logik ---
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DEBUG: bool = os.getenv("DEBUG", "false").lower() == "true"
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MINDNET_VAULT_ROOT: str = os.getenv("MINDNET_VAULT_ROOT", "./vault")
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MINDNET_TYPES_FILE: str = os.getenv("MINDNET_TYPES_FILE", "config/types.yaml")
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MINDNET_VOCAB_PATH: str = os.getenv("MINDNET_VOCAB_PATH", "vault/_system/dictionary/edge_vocabulary.md")
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CHANGE_DETECTION_MODE: str = os.getenv("MINDNET_CHANGE_DETECTION_MODE", "full")
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# --- WP-04 Retriever Gewichte ---
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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() |