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modified: .env.example

Browse Source 
modified:   config.py
	modified:   docker-compose.yml
	modified:   requirements.txt
	modified:   services/rag_service.py
This commit is contained in:
SimolZimol
2026-05-22 16:45:13 +02:00
parent b5a7abddd5
commit 9df6c67a29
5 changed files with 31 additions and 35 deletions
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11
config.py
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@@ -8,16 +8,16 @@ BASE_DIR = os.path.abspath(os.path.dirname(__file__))
class Config:
SECRET_KEY = os.environ.get("SECRET_KEY", "change-me-in-production")
SQLALCHEMY_DATABASE_URI = os.environ.get(
"DATABASE_URI", f"sqlite:///{os.path.join(BASE_DIR, 'app.db')}"
_db_uri = os.environ.get("DATABASE_URI", "")
_default_uri = f"sqlite:///{os.path.join(BASE_DIR, 'app.db')}"
# Fall back to SQLite if DATABASE_URI is empty or not a valid SQLAlchemy URL
SQLALCHEMY_DATABASE_URI = (
_db_uri if _db_uri and "://" in _db_uri else _default_uri
)
SQLALCHEMY_TRACK_MODIFICATIONS = False
UPLOAD_FOLDER = os.environ.get("UPLOAD_FOLDER", os.path.join(BASE_DIR, "uploads"))
VECTORDB_PATH = os.environ.get("VECTORDB_PATH", os.path.join(BASE_DIR, "vectordb"))
TRANSFORMERS_CACHE = os.environ.get(
"TRANSFORMERS_CACHE", os.path.join(BASE_DIR, ".cache")
)
ALLOWED_EXTENSIONS = {"pdf", "txt", "docx", "md"}
MAX_CONTENT_LENGTH = 50 * 1024 * 1024 # 50 MB
@@ -26,6 +26,7 @@ class Config:
AI_PROVIDER = os.environ.get("AI_PROVIDER", "lmstudio")
LM_STUDIO_URL = os.environ.get("LM_STUDIO_URL", "http://localhost:1234")
LM_STUDIO_MODEL = os.environ.get("LM_STUDIO_MODEL", "local-model")
LM_STUDIO_EMBEDDING_MODEL = os.environ.get("LM_STUDIO_EMBEDDING_MODEL", "local-model")
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
OPENAI_MODEL = os.environ.get("OPENAI_MODEL", "gpt-4o")