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Refactored the get_routes and async_get_routes methods in pinecone.py to use a new parse_route_info function for better code organization and readability.
Enhanced docstrings across several methods in pinecone.py to include parameter and return type annotations.
Improved route synchronization logic in layer.py by handling function schemas more robustly and added logging for debugging.
Added logging in openai.py to assist in debugging function schema handling.
Changes walkthrough 📝
Relevant files
Enhancement
pinecone.py
Refactor route parsing and enhance docstrings
semantic_router/index/pinecone.py
Refactored the get_routes and async_get_routes methods to use a new parse_route_info function.
Added detailed docstrings for methods with parameter and return type annotations.
Introduced a new function parse_route_info to handle metadata parsing.
Code Clarity The use of tuple packing in parse_route_info function (lines 801-825) may reduce code readability and maintainability. Consider using a more structured approach, such as named tuples or data classes.
Redundant Code The logging statements added in various methods seem to be for debugging purposes and should be removed or replaced with more appropriate logging levels if they are to be kept for production (e.g., logger.debug instead of logger.info).
Logging Level The logging level used in _add_and_sync_routes method (lines 548-561) should be adjusted. Debugging information should use logger.debug instead of logger.info.
-route_info = parse_route_info(metadata=metadata)+try:+ route_info = parse_route_info(metadata=metadata)+except Exception as e:+ logger.error("Failed to parse route info: %s", e)+ route_info = []
Suggestion importance[1-10]: 10
Why: Adding error handling for parsing metadata is crucial to prevent application crashes due to malformed data, which is a significant improvement for robustness and reliability.
10
Security
Remove unnecessary and potentially sensitive logging
Remove redundant logging statements that could potentially expose sensitive data or clutter the log files.
-logger.info(f"{function_schemas=}")-logger.info(f"{function_schemas is None=}")-logger.info(f"{tools=}")+# Removed unnecessary logging
Suggestion importance[1-10]: 9
Why: Removing redundant logging statements helps prevent potential exposure of sensitive data and reduces log clutter, which is crucial for security and performance.
9
Maintainability
Improve code structure and readability by using named tuples
Replace the tuple packing with a more structured approach using a data class or named tuple for better maintainability and readability.
Why: Using named tuples enhances code readability and maintainability by providing a more structured approach compared to tuple packing, which is beneficial for understanding and future modifications.
8
Best practice
Enhance logging practices by adjusting the log level and message content
Remove the debug logging statement or replace it with a more appropriate logging level and message.
-logger.info(f"JB TEMP: {self.routes=}")+logger.debug("Initializing index with routes: %s", self.routes)
Suggestion importance[1-10]: 7
Why: Changing the log level to debug and providing a more descriptive message improves logging practices, making logs more meaningful and less cluttered.
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PR Type
enhancement, bug fix
Description
get_routes
andasync_get_routes
methods inpinecone.py
to use a newparse_route_info
function for better code organization and readability.pinecone.py
to include parameter and return type annotations.layer.py
by handling function schemas more robustly and added logging for debugging.openai.py
to assist in debugging function schema handling.Changes walkthrough 📝
pinecone.py
Refactor route parsing and enhance docstrings
semantic_router/index/pinecone.py
get_routes
andasync_get_routes
methods to use a newparse_route_info
function.annotations.
parse_route_info
to handle metadata parsing.layer.py
Improve route synchronization and add logging
semantic_router/layer.py
robustly.
openai.py
Add logging for function schema handling
semantic_router/llms/openai.py