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