OpenWebUI/open-webui
1
0
Fork 0
mirror of https://github.com/open-webui/open-webui synced 2025-06-26 18:26:48 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Add user related headers when calling an external embedding api

Browse Source
This commit is contained in:
Didier FOURNOUT
2025-01-29 10:55:52 +00:00
parent b72150c881
commit 6ca295ec59
6 changed files with 70 additions and 32 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
backend/open_webui/routers/files.py
View File

@@ -71,7 +71,7 @@ def upload_file(
)
try:
process_file(request, ProcessFileForm(file_id=id))
process_file(request, ProcessFileForm(file_id=id), user=user)
file_item = Files.get_file_by_id(id=id)
except Exception as e:
log.exception(e)
@@ -193,7 +193,9 @@ async def update_file_data_content_by_id(
if file and (file.user_id == user.id or user.role == "admin"):
try:
process_file(
request, ProcessFileForm(file_id=id, content=form_data.content)
request,
ProcessFileForm(file_id=id, content=form_data.content),
user=user
)
file = Files.get_file_by_id(id=id)
except Exception as e:

8
backend/open_webui/routers/knowledge.py
View File

@@ -285,7 +285,9 @@ def add_file_to_knowledge_by_id(
# Add content to the vector database
try:
process_file(
request, ProcessFileForm(file_id=form_data.file_id, collection_name=id)
request,
ProcessFileForm(file_id=form_data.file_id, collection_name=id),
user=user
)
except Exception as e:
log.debug(e)
@@ -363,7 +365,9 @@ def update_file_from_knowledge_by_id(
# Add content to the vector database
try:
process_file(
request, ProcessFileForm(file_id=form_data.file_id, collection_name=id)
request,
ProcessFileForm(file_id=form_data.file_id, collection_name=id),
user=user
)
except Exception as e:
raise HTTPException(

8
backend/open_webui/routers/memories.py
View File

@@ -57,7 +57,7 @@ async def add_memory(
{
"id": memory.id,
"text": memory.content,
"vector": request.app.state.EMBEDDING_FUNCTION(memory.content),
"vector": request.app.state.EMBEDDING_FUNCTION(memory.content, user),
"metadata": {"created_at": memory.created_at},
}
],
@@ -82,7 +82,7 @@ async def query_memory(
):
results = VECTOR_DB_CLIENT.search(
collection_name=f"user-memory-{user.id}",
vectors=[request.app.state.EMBEDDING_FUNCTION(form_data.content)],
vectors=[request.app.state.EMBEDDING_FUNCTION(form_data.content, user)],
limit=form_data.k,
)
@@ -105,7 +105,7 @@ async def reset_memory_from_vector_db(
{
"id": memory.id,
"text": memory.content,
"vector": request.app.state.EMBEDDING_FUNCTION(memory.content),
"vector": request.app.state.EMBEDDING_FUNCTION(memory.content, user),
"metadata": {
"created_at": memory.created_at,
"updated_at": memory.updated_at,
@@ -160,7 +160,7 @@ async def update_memory_by_id(
{
"id": memory.id,
"text": memory.content,
"vector": request.app.state.EMBEDDING_FUNCTION(memory.content),
"vector": request.app.state.EMBEDDING_FUNCTION(memory.content, user),
"metadata": {
"created_at": memory.created_at,
"updated_at": memory.updated_at,

24
backend/open_webui/routers/retrieval.py
View File

@@ -660,6 +660,7 @@ def save_docs_to_vector_db(
overwrite: bool = False,
split: bool = True,
add: bool = False,
user = None,
) -> bool:
def _get_docs_info(docs: list[Document]) -> str:
docs_info = set()
@@ -775,7 +776,8 @@ def save_docs_to_vector_db(
)
embeddings = embedding_function(
list(map(lambda x: x.replace("\n", " "), texts))
list(map(lambda x: x.replace("\n", " "), texts)),
user = user
)
items = [
@@ -933,6 +935,7 @@ def process_file(
"hash": hash,
},
add=(True if form_data.collection_name else False),
user=user
)
if result:
@@ -990,7 +993,7 @@ def process_text(
text_content = form_data.content
log.debug(f"text_content: {text_content}")
result = save_docs_to_vector_db(request, docs, collection_name)
result = save_docs_to_vector_db(request, docs, collection_name, user=user)
if result:
return {
"status": True,
@@ -1023,7 +1026,7 @@ def process_youtube_video(
content = " ".join([doc.page_content for doc in docs])
log.debug(f"text_content: {content}")
save_docs_to_vector_db(request, docs, collection_name, overwrite=True)
save_docs_to_vector_db(request, docs, collection_name, overwrite=True, user=user)
return {
"status": True,
@@ -1064,7 +1067,7 @@ def process_web(
content = " ".join([doc.page_content for doc in docs])
log.debug(f"text_content: {content}")
save_docs_to_vector_db(request, docs, collection_name, overwrite=True)
save_docs_to_vector_db(request, docs, collection_name, overwrite=True, user=user)
return {
"status": True,
@@ -1272,7 +1275,7 @@ def process_web_search(
requests_per_second=request.app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
)
docs = loader.load()
save_docs_to_vector_db(request, docs, collection_name, overwrite=True)
save_docs_to_vector_db(request, docs, collection_name, overwrite=True, user=user)
return {
"status": True,
@@ -1306,7 +1309,7 @@ def query_doc_handler(
return query_doc_with_hybrid_search(
collection_name=form_data.collection_name,
query=form_data.query,
embedding_function=request.app.state.EMBEDDING_FUNCTION,
embedding_function=lambda query: request.app.state.EMBEDDING_FUNCTION(query, user=user),
k=form_data.k if form_data.k else request.app.state.config.TOP_K,
reranking_function=request.app.state.rf,
r=(
@@ -1314,12 +1317,14 @@ def query_doc_handler(
if form_data.r
else request.app.state.config.RELEVANCE_THRESHOLD
),
user=user
)
else:
return query_doc(
collection_name=form_data.collection_name,
query_embedding=request.app.state.EMBEDDING_FUNCTION(form_data.query),
query_embedding=request.app.state.EMBEDDING_FUNCTION(form_data.query, user=user),
k=form_data.k if form_data.k else request.app.state.config.TOP_K,
user=user
)
except Exception as e:
log.exception(e)
@@ -1348,7 +1353,7 @@ def query_collection_handler(
return query_collection_with_hybrid_search(
collection_names=form_data.collection_names,
queries=[form_data.query],
embedding_function=request.app.state.EMBEDDING_FUNCTION,
embedding_function=lambda query: request.app.state.EMBEDDING_FUNCTION(query, user=user),
k=form_data.k if form_data.k else request.app.state.config.TOP_K,
reranking_function=request.app.state.rf,
r=(
@@ -1361,7 +1366,7 @@ def query_collection_handler(
return query_collection(
collection_names=form_data.collection_names,
queries=[form_data.query],
embedding_function=request.app.state.EMBEDDING_FUNCTION,
embedding_function=lambda query: request.app.state.EMBEDDING_FUNCTION(query,user=user),
k=form_data.k if form_data.k else request.app.state.config.TOP_K,
)
@@ -1509,6 +1514,7 @@ def process_files_batch(
docs=all_docs,
collection_name=collection_name,
add=True,
user=user,
)
# Update all files with collection name