mirror of
https://github.com/MODSetter/SurfSense.git
synced 2025-09-01 10:09:08 +00:00
128 lines
4 KiB
Python
128 lines
4 KiB
Python
import os
|
|
import shutil
|
|
from pathlib import Path
|
|
|
|
from chonkie import AutoEmbeddings, CodeChunker, RecursiveChunker
|
|
from dotenv import load_dotenv
|
|
from rerankers import Reranker
|
|
|
|
# Get the base directory of the project
|
|
BASE_DIR = Path(__file__).resolve().parent.parent.parent
|
|
|
|
env_file = BASE_DIR / ".env"
|
|
load_dotenv(env_file)
|
|
|
|
|
|
def is_ffmpeg_installed():
|
|
"""
|
|
Check if ffmpeg is installed on the current system.
|
|
|
|
Returns:
|
|
bool: True if ffmpeg is installed, False otherwise.
|
|
"""
|
|
return shutil.which("ffmpeg") is not None
|
|
|
|
|
|
class Config:
|
|
# Check if ffmpeg is installed
|
|
if not is_ffmpeg_installed():
|
|
import static_ffmpeg
|
|
|
|
# ffmpeg installed on first call to add_paths(), threadsafe.
|
|
static_ffmpeg.add_paths()
|
|
# check if ffmpeg is installed again
|
|
if not is_ffmpeg_installed():
|
|
raise ValueError(
|
|
"FFmpeg is not installed on the system. Please install it to use the Surfsense Podcaster."
|
|
)
|
|
|
|
# Database
|
|
DATABASE_URL = os.getenv("DATABASE_URL")
|
|
|
|
NEXT_FRONTEND_URL = os.getenv("NEXT_FRONTEND_URL")
|
|
|
|
# Auth
|
|
AUTH_TYPE = os.getenv("AUTH_TYPE")
|
|
|
|
# Google OAuth
|
|
GOOGLE_OAUTH_CLIENT_ID = os.getenv("GOOGLE_OAUTH_CLIENT_ID")
|
|
GOOGLE_OAUTH_CLIENT_SECRET = os.getenv("GOOGLE_OAUTH_CLIENT_SECRET")
|
|
|
|
# Google Calendar redirect URI
|
|
GOOGLE_CALENDAR_REDIRECT_URI = os.getenv("GOOGLE_CALENDAR_REDIRECT_URI")
|
|
|
|
# Google Gmail redirect URI
|
|
GOOGLE_GMAIL_REDIRECT_URI = os.getenv("GOOGLE_GMAIL_REDIRECT_URI")
|
|
|
|
# LLM instances are now managed per-user through the LLMConfig system
|
|
# Legacy environment variables removed in favor of user-specific configurations
|
|
|
|
# Chonkie Configuration | Edit this to your needs
|
|
EMBEDDING_MODEL = os.getenv("EMBEDDING_MODEL")
|
|
embedding_model_instance = AutoEmbeddings.get_embeddings(EMBEDDING_MODEL)
|
|
chunker_instance = RecursiveChunker(
|
|
chunk_size=getattr(embedding_model_instance, "max_seq_length", 512)
|
|
)
|
|
code_chunker_instance = CodeChunker(
|
|
chunk_size=getattr(embedding_model_instance, "max_seq_length", 512)
|
|
)
|
|
|
|
# Reranker's Configuration | Pinecode, Cohere etc. Read more at https://github.com/AnswerDotAI/rerankers?tab=readme-ov-file#usage
|
|
RERANKERS_MODEL_NAME = os.getenv("RERANKERS_MODEL_NAME")
|
|
RERANKERS_MODEL_TYPE = os.getenv("RERANKERS_MODEL_TYPE")
|
|
reranker_instance = Reranker(
|
|
model_name=RERANKERS_MODEL_NAME,
|
|
model_type=RERANKERS_MODEL_TYPE,
|
|
)
|
|
|
|
# OAuth JWT
|
|
SECRET_KEY = os.getenv("SECRET_KEY")
|
|
|
|
# ETL Service
|
|
ETL_SERVICE = os.getenv("ETL_SERVICE")
|
|
|
|
if ETL_SERVICE == "UNSTRUCTURED":
|
|
# Unstructured API Key
|
|
UNSTRUCTURED_API_KEY = os.getenv("UNSTRUCTURED_API_KEY")
|
|
|
|
elif ETL_SERVICE == "LLAMACLOUD":
|
|
# LlamaCloud API Key
|
|
LLAMA_CLOUD_API_KEY = os.getenv("LLAMA_CLOUD_API_KEY")
|
|
|
|
# Firecrawl API Key
|
|
FIRECRAWL_API_KEY = os.getenv("FIRECRAWL_API_KEY", None)
|
|
|
|
# Litellm TTS Configuration
|
|
TTS_SERVICE = os.getenv("TTS_SERVICE")
|
|
TTS_SERVICE_API_BASE = os.getenv("TTS_SERVICE_API_BASE")
|
|
TTS_SERVICE_API_KEY = os.getenv("TTS_SERVICE_API_KEY")
|
|
|
|
# Litellm STT Configuration
|
|
STT_SERVICE = os.getenv("STT_SERVICE")
|
|
STT_SERVICE_API_BASE = os.getenv("STT_SERVICE_API_BASE")
|
|
STT_SERVICE_API_KEY = os.getenv("STT_SERVICE_API_KEY")
|
|
|
|
# Validation Checks
|
|
# Check embedding dimension
|
|
if (
|
|
hasattr(embedding_model_instance, "dimension")
|
|
and embedding_model_instance.dimension > 2000
|
|
):
|
|
raise ValueError(
|
|
f"Embedding dimension for Model: {EMBEDDING_MODEL} "
|
|
f"has {embedding_model_instance.dimension} dimensions, which "
|
|
f"exceeds the maximum of 2000 allowed by PGVector."
|
|
)
|
|
|
|
@classmethod
|
|
def get_settings(cls):
|
|
"""Get all settings as a dictionary."""
|
|
return {
|
|
key: value
|
|
for key, value in cls.__dict__.items()
|
|
if not key.startswith("_") and not callable(value)
|
|
}
|
|
|
|
|
|
# Create a config instance
|
|
config = Config()
|