feat: Added default message for no data source! #111
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WalkthroughThe pull request introduces a modification to the Changes
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Actionable comments posted: 0
🧹 Nitpick comments (2)
utils/globals.py (1)
8-11: LGTM! Consider minor message refinementThe constant is well-named and provides a user-friendly message. However, consider making the message slightly more specific.
Consider this minor refinement:
- "Current documentation and community chats draw a blank. " + "No relevant information found in the current documentation or community chats. "subquery.py (1)
231-234: Simplify the conditional return statementThe nested if-else structure can be simplified while maintaining the same logic.
- if source_nodes == []: - return NO_ANSWER_REFERENCE, source_nodes - else: - return response.response, source_nodes + return (NO_ANSWER_REFERENCE if source_nodes == [] else response.response), source_nodes
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📒 Files selected for processing (2)
subquery.py(2 hunks)utils/globals.py(1 hunks)
🔇 Additional comments (2)
subquery.py (2)
10-10: LGTM! Import is properly organized
The new constant import is correctly placed with related imports from utils.globals.
Line range hint 27-67: Update docstring to reflect new behavior
The function's docstring should be updated to document the new behavior when no sources are available.
Add to the Returns section:
Returns
--------
response : str,
the response to the user query from the LLM
- using the engines of the given platforms (platform equal to True)
+ using the engines of the given platforms (platform equal to True).
+ Returns a default message if no relevant sources are found.
source_nodes : list[NodeWithScore]
the list of nodes that were source of answeringLet's verify the callers handle both cases appropriately:
✅ Verification successful
Docstring update needed, but error handling is appropriate
The docstring should be updated as suggested to document the default message behavior when no sources are found. The caller in worker/tasks.py simply passes through the response and references without additional processing, which is appropriate since:
- The function returns a tuple of (response, references) in both success and no-data cases
- The caller doesn't need special handling as the function already provides a valid response message in all cases
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for function calls to verify error handling
rg -A 5 "query_multiple_source\(" --type py
Length of output: 501
Script:
#!/bin/bash
# Let's check the implementation in worker/tasks.py to see how it handles the response
rg -B 5 -A 10 "query_multiple_source\(" worker/tasks.py
Length of output: 474
Script:
#!/bin/bash
# Let's check if there are any error handling patterns in worker/tasks.py
rg -B 10 -A 10 "def query_data_sources" worker/tasks.py
Length of output: 514
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