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https://github.com/open-webui/open-webui
synced 2024-11-16 21:42:58 +00:00
fix: do not crash on invalid embedding model
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parent
6027c13227
commit
380e080f6d
@ -101,7 +101,13 @@ from open_webui.config import (
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AppConfig,
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)
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from open_webui.constants import ERROR_MESSAGES
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from open_webui.env import SRC_LOG_LEVELS, DEVICE_TYPE, DOCKER, BING_SEARCH_V7_ENDPOINT, BING_SEARCH_V7_SUBSCRIPTION_KEY
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from open_webui.env import (
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SRC_LOG_LEVELS,
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DEVICE_TYPE,
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DOCKER,
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BING_SEARCH_V7_ENDPOINT,
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BING_SEARCH_V7_SUBSCRIPTION_KEY,
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)
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from open_webui.utils.misc import (
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calculate_sha256,
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calculate_sha256_string,
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@ -176,6 +182,7 @@ app.state.config.SEARCHAPI_ENGINE = SEARCHAPI_ENGINE
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app.state.config.RAG_WEB_SEARCH_RESULT_COUNT = RAG_WEB_SEARCH_RESULT_COUNT
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app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS = RAG_WEB_SEARCH_CONCURRENT_REQUESTS
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def update_embedding_model(
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embedding_model: str,
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auto_update: bool = False,
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@ -183,11 +190,15 @@ def update_embedding_model(
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if embedding_model and app.state.config.RAG_EMBEDDING_ENGINE == "":
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from sentence_transformers import SentenceTransformer
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try:
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app.state.sentence_transformer_ef = SentenceTransformer(
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get_model_path(embedding_model, auto_update),
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device=DEVICE_TYPE,
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trust_remote_code=RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE,
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)
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except Exception as e:
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log.debug(f"Error loading SentenceTransformer: {e}")
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app.state.sentence_transformer_ef = None
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else:
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app.state.sentence_transformer_ef = None
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@ -637,23 +648,21 @@ async def update_query_settings(
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####################################
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def _get_docs_info(
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docs: list[Document]
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) -> str:
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def _get_docs_info(docs: list[Document]) -> str:
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docs_info = set()
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# Trying to select relevant metadata identifying the document.
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for doc in docs:
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metadata = getattr(doc, 'metadata', {})
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doc_name = metadata.get('name', '')
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metadata = getattr(doc, "metadata", {})
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doc_name = metadata.get("name", "")
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if not doc_name:
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doc_name = metadata.get('title', '')
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doc_name = metadata.get("title", "")
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if not doc_name:
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doc_name = metadata.get('source', '')
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doc_name = metadata.get("source", "")
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if doc_name:
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docs_info.add(doc_name)
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return ', '.join(docs_info)
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return ", ".join(docs_info)
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def save_docs_to_vector_db(
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@ -664,7 +673,9 @@ def save_docs_to_vector_db(
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split: bool = True,
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add: bool = False,
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) -> bool:
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log.info(f"save_docs_to_vector_db: document {_get_docs_info(docs)} {collection_name}")
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log.info(
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f"save_docs_to_vector_db: document {_get_docs_info(docs)} {collection_name}"
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)
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# Check if entries with the same hash (metadata.hash) already exist
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if metadata and "hash" in metadata:
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