100 callback_manager = callback_manager_from_settings_or_context(
101 Settings, service_context
102 )
103 if len(query_engine_tools) > 0:
--> 104 callback_manager = query_engine_tools[0].query_engine.callback_manager
106 llm = llm or llm_from_settings_or_context(Settings, service_context)
107 if question_gen is None:def main():
folder_name = input("Enter the name of the folder: ")
if Path("./data").is_dir():
docs = process_pdf_files("./data/" + folder_name)
print(docs.keys())
if len(source_Docs) > 0:
res = processVectorStore_and_createQueryEngine(source_Docs, folder_name)
query_engine_tools = [
QueryEngineTool(
query_engine=res[key].as_query_engine(),
metadata=ToolMetadata(
name=f"{key}",
description=f"Provides information about financials of {key}",
),
)
for key in res.keys()
]
print("--------------------------------------------------------------")
print("query engine tools array ",query_engine_tools)
sub_question_query_engine = SubQuestionQueryEngine.from_defaults(query_engine_tools=res)
response = sub_question_query_engine.query("what is the data about ?")
print(response)
else:
print("No PDF files found in the folder.")
else:
print("Folder not found. Please enter a valid folder name.")
# Run the async function
main()