You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
3, because the PR includes multiple changes across different files including Python scripts and Jupyter notebooks. The changes involve refactoring, fixing imports, and updating dependencies which require a careful review to ensure compatibility and functionality.
🧪 Relevant tests
No
⚡ Possible issues
Possible Bug: The change from Route.from_dynamic_route(llm=llm, entity=function) to Route.from_dynamic_route(llm=llm, entities=function) in 'docs/examples/function_calling.ipynb' might introduce a bug if the from_dynamic_route method does not support or expect a parameter named entities. This could potentially break the functionality unless the method definition is also updated to accommodate this change.
🔒 Security concerns
No
Code feedback:
relevant file
semantic_router/encoders/openai.py
suggestion
Consider adding error handling for the list comprehension used in document truncation to manage cases where _truncate might fail or return unexpected results. This could prevent the entire encoding process from failing due to issues with individual documents. [important]
Ensure that the modified import statement is correctly reflecting the new structure or location of OpenAIEncoder. If the encoder is not correctly imported, it could lead to runtime errors during testing. Consider adding a specific test to verify that the import and instantiation of OpenAIEncoder work as expected. [important]
Verify the change from entity=function to entities=function in the Route.from_dynamic_route method call. If the method's signature or expected parameters have not been updated to handle entities as a keyword, this will raise an error. [important]
Ensure that the version constraints for the black package with Jupyter extras (extras = ["jupyter"]) do not conflict with other dependencies or the project's requirements. It's crucial to test this change to avoid dependency resolution issues. [medium]
Verify the correctness of the import path to avoid import errors
The import statement for 'OpenAIEncoder' has been changed to a more specific path. Ensure that this new path is correctly reflecting the module's location and is not leading to any import errors in the test environment.
-from semantic_router.encoders.openai import OpenAIEncoder+from semantic_router.encoders import OpenAIEncoder # Use this if the previous import path was correct
Suggestion importance[1-10]: 9
Why: Correct import paths are essential for the functionality of the tests. The suggestion addresses a potential issue that could cause import errors, which is critical for the test environment's reliability.
9
Possible bug
Verify and correct the parameter name in the method call to prevent bugs
Ensure that the variable name change from 'entity' to 'entities' in the method call is intentional and correctly reflects the expected parameter in the 'Route.from_dynamic_route' method. If 'entity' was correct, revert this change to avoid potential bugs.
-route = Route.from_dynamic_route(llm=llm, entities=function)+route = Route.from_dynamic_route(llm=llm, entity=function) # Assuming 'entity' was the correct parameter
Suggestion importance[1-10]: 8
Why: Ensuring the correct parameter name is crucial to avoid potential bugs. The suggestion correctly identifies a possible issue that could lead to runtime errors if the parameter name change was not intentional.
8
Compatibility
Check the 'black' version compatibility with the project requirements
The version constraint for 'black' has been changed to a range that includes a lower version than previously specified. Ensure this change is compatible with other dependencies and does not introduce any conflicts or deprecated features being used in the project.
-black = {extras = ["jupyter"], version = ">=23.12.1,<24.5.0"}+black = {extras = ["jupyter"], version = "^24.0.0"} # Reverting to previous version if needed
Suggestion importance[1-10]: 7
Why: The suggestion to verify the compatibility of the 'black' version is important for maintaining project stability. However, it is more of a cautionary note rather than a direct improvement to the code.
7
Performance
Optimize list comprehension by integrating conditionals directly
Consider using a list comprehension with a conditional check instead of filtering after the list comprehension. This approach avoids creating an intermediate list that is not needed, which can be more efficient, especially with large lists.
-docs = [self._truncate(doc) for doc in docs]+docs = [self._truncate(doc) for doc in docs if condition] # Replace 'condition' with the actual condition needed
Suggestion importance[1-10]: 3
Why: The suggestion to integrate conditionals directly into the list comprehension is valid for performance optimization. However, the original code does not indicate any specific condition, making the suggestion somewhat speculative without additional context.
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
PR Type
Enhancement, Documentation, Tests
Description
OpenAIEncoder
to use list comprehension for improved readability and performance.black
dependency to include Jupyter extras in thepyproject.toml
file.Changes walkthrough 📝
openai.py
Refactor document truncation logic using list comprehension.
semantic_router/encoders/openai.py
test_openai_integration.py
Fix import statement in OpenAI encoder integration tests.
tests/integration/encoders/test_openai_integration.py
OpenAIEncoder
.02-dynamic-routes.ipynb
Reformat dynamic routes documentation notebook.
docs/02-dynamic-routes.ipynb
function_calling.ipynb
Fix typo in function calling example notebook.
docs/examples/function_calling.ipynb
unstructured-element-splitter.ipynb
Improve readability in unstructured element splitter example.
docs/examples/unstructured-element-splitter.ipynb
pyproject.toml
Update authors and `black` dependency in project configuration.
pyproject.toml
black
dependency to include Jupyter extras.