Files
t6_mem0/embedchain/config/InitConfig.py

58 lines
1.7 KiB
Python

import logging
import os
from embedchain.config.BaseConfig import BaseConfig
class InitConfig(BaseConfig):
"""
Config to initialize an embedchain `App` instance.
"""
def __init__(self, log_level=None, ef=None, db=None, host=None, port=None):
"""
:param log_level: Optional. (String) Debug level
['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'].
:param ef: Optional. Embedding function to use.
:param db: Optional. (Vector) database to use for embeddings.
"""
self._setup_logging(log_level)
# Embedding Function
if ef is None:
from chromadb.utils import embedding_functions
self.ef = embedding_functions.OpenAIEmbeddingFunction(
api_key=os.getenv("OPENAI_API_KEY"),
organization_id=os.getenv("OPENAI_ORGANIZATION"),
model_name="text-embedding-ada-002",
)
else:
self.ef = ef
if db is None:
from embedchain.vectordb.chroma_db import ChromaDB
self.db = ChromaDB(ef=self.ef, host=host, port=port)
else:
self.db = db
return
def _set_embedding_function(self, ef):
self.ef = ef
return
def _setup_logging(self, debug_level):
level = logging.WARNING # Default level
if debug_level is not None:
level = getattr(logging, debug_level.upper(), None)
if not isinstance(level, int):
raise ValueError(f"Invalid log level: {debug_level}")
logging.basicConfig(
format="%(asctime)s [%(name)s] [%(levelname)s] %(message)s", level=level
)
self.logger = logging.getLogger(__name__)
return