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feat: better error handling

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This commit is contained in:
Timothy J. Baek 2024-03-25 23:47:08 -07:00
parent c91a5d8b1f
commit 6307adfba1
2 changed files with 55 additions and 40 deletions
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93
backend/apps/rag/main.py
View file

@ -115,6 +115,7 @@ class CollectionNameForm(BaseModel):
class StoreWebForm(CollectionNameForm): class StoreWebForm(CollectionNameForm):
url: str url: str
@app.get("/") @app.get("/")
async def get_status(): async def get_status():
return { return {
@ -297,13 +298,18 @@ def store_web(form_data: StoreWebForm, user=Depends(get_current_user)):
def store_data_in_vector_db(data, collection_name, overwrite: bool = False) -> bool: def store_data_in_vector_db(data, collection_name, overwrite: bool = False) -> bool:
text_splitter = RecursiveCharacterTextSplitter( text_splitter = RecursiveCharacterTextSplitter(
chunk_size=app.state.CHUNK_SIZE, chunk_size=app.state.CHUNK_SIZE,
chunk_overlap=app.state.CHUNK_OVERLAP, chunk_overlap=app.state.CHUNK_OVERLAP,
add_start_index=True, add_start_index=True,
) )
docs = text_splitter.split_documents(data) docs = text_splitter.split_documents(data)
return store_docs_in_vector_db(docs, collection_name, overwrite)
if len(docs) > 0:
return store_docs_in_vector_db(docs, collection_name, overwrite), None
else:
raise ValueError(ERROR_MESSAGES.EMPTY_CONTENT)
def store_text_in_vector_db( def store_text_in_vector_db(
@ -319,6 +325,7 @@ def store_text_in_vector_db(
def store_docs_in_vector_db(docs, collection_name, overwrite: bool = False) -> bool: def store_docs_in_vector_db(docs, collection_name, overwrite: bool = False) -> bool:
texts = [doc.page_content for doc in docs] texts = [doc.page_content for doc in docs]
metadatas = [doc.metadata for doc in docs] metadatas = [doc.metadata for doc in docs]
@ -455,19 +462,21 @@ def store_doc(
loader, known_type = get_loader(file.filename, file.content_type, file_path) loader, known_type = get_loader(file.filename, file.content_type, file_path)
data = loader.load() data = loader.load()
result = store_data_in_vector_db(data, collection_name)
if result: try:
return { result = store_data_in_vector_db(data, collection_name)
"status": True,
"collection_name": collection_name, if result:
"filename": filename, return {
"known_type": known_type, "status": True,
} "collection_name": collection_name,
else: "filename": filename,
"known_type": known_type,
}
except Exception as e:
raise HTTPException( raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=ERROR_MESSAGES.DEFAULT(), detail=e,
) )
except Exception as e: except Exception as e:
log.exception(e) log.exception(e)
@ -532,38 +541,42 @@ def scan_docs_dir(user=Depends(get_admin_user)):
) )
data = loader.load() data = loader.load()
result = store_data_in_vector_db(data, collection_name) try:
result = store_data_in_vector_db(data, collection_name)
if result: if result:
sanitized_filename = sanitize_filename(filename) sanitized_filename = sanitize_filename(filename)
doc = Documents.get_doc_by_name(sanitized_filename) doc = Documents.get_doc_by_name(sanitized_filename)
if doc == None: if doc == None:
doc = Documents.insert_new_doc( doc = Documents.insert_new_doc(
user.id, user.id,
DocumentForm( DocumentForm(
**{ **{
"name": sanitized_filename, "name": sanitized_filename,
"title": filename, "title": filename,
"collection_name": collection_name, "collection_name": collection_name,
"filename": filename, "filename": filename,
"content": ( "content": (
json.dumps( json.dumps(
{ {
"tags": list( "tags": list(
map( map(
lambda name: {"name": name}, lambda name: {"name": name},
tags, tags,
)
) )
) }
} )
) if len(tags)
if len(tags) else "{}"
else "{}" ),
), }
} ),
), )
) except Exception as e:
print(e)
pass
except Exception as e: except Exception as e:
log.exception(e) log.exception(e)

2
backend/constants.py
View file

@ -60,3 +60,5 @@ class ERROR_MESSAGES(str, Enum):
MODEL_NOT_FOUND = lambda name="": f"Model '{name}' was not found" MODEL_NOT_FOUND = lambda name="": f"Model '{name}' was not found"
OPENAI_NOT_FOUND = lambda name="": f"OpenAI API was not found" OPENAI_NOT_FOUND = lambda name="": f"OpenAI API was not found"
OLLAMA_NOT_FOUND = "WebUI could not connect to Ollama" OLLAMA_NOT_FOUND = "WebUI could not connect to Ollama"
EMPTY_CONTENT = "The content provided is empty. Please ensure that there is text or data present before proceeding."