Closed kaavee315 closed 1 month ago
โฑ๏ธ Estimated effort to review: 3 ๐ต๐ต๐ตโชโช |
๐งช No relevant tests |
๐ No security concerns identified |
โก Key issues to review Error Handling The function `calculate_operation` lacks error handling for division by zero, which could lead to runtime exceptions if `num2` is zero. Hardcoded Values The function `get_langchain_llm` uses hardcoded model names and URLs, which might not be flexible for configuration changes or environment differences. Possible Bug The function `get_langchain_llm` raises a `RuntimeError` if no API keys are found, but does not handle the scenario where keys are invalid or expired. |
Category | Suggestion | Score |
Possible bug |
Add error handling for division by zero to enhance robustness___ **Add error handling for division by zero in thecalculate_operation function to prevent runtime exceptions.** [python/swe/examples/crewai_agent/agent.py [30-31]](https://github.com/ComposioHQ/composio/pull/369/files#diff-de26150a00e225aa6dbb949058c0c6517cc59c8619bef7bc4de99bf2bbe496f9R30-R31) ```diff if operation == "divide": + if num2 == 0: + raise ValueError("Cannot divide by zero") return num1 / num2 ``` - [ ] **Apply this suggestion** Suggestion importance[1-10]: 10Why: Adding error handling for division by zero is crucial to prevent runtime exceptions, making the code more robust and reliable. | 10 |
Best practice |
Replace an empty string with
___
**Instead of setting an empty string for the "error" key when there are no errors, | 8 |
Reduce redundant logging to improve log clarity and usefulness___ **Avoid logging the same action multiple times in a row without changes, as it canclutter the log output and reduce the usefulness of the logs.** [python/tests/test_tools/test_local/test_workspace.py [137-141]](https://github.com/ComposioHQ/composio/pull/369/files#diff-7d7164755338a08f2e4bfa1e6ba877d6c529b3b5580941e23ee43bf02ebe6c87R137-R141) ```diff -logger.info(f"output of scroll file 1: {output_scroll_file}") output_scroll_file = toolset.execute_action( action=Action.FILETOOL_SCROLL, params={}, ) -logger.info(f"output of scroll file 2: {output_scroll_file}") +logger.info(f"output of scroll file: {output_scroll_file}") ``` - [ ] **Apply this suggestion** Suggestion importance[1-10]: 6Why: Reducing redundant logging is a good practice as it helps in maintaining clear and useful log outputs, but it is a minor improvement. | 6 | |
Maintainability |
Refactor the API client instantiation into separate helper functions to improve code readability and maintainability___ **Refactor theget_langchain_llm function to separate concerns by creating helper functions for each API key check and instantiation logic.** [python/swe/examples/crewai_agent/agent.py [36-46]](https://github.com/ComposioHQ/composio/pull/369/files#diff-de26150a00e225aa6dbb949058c0c6517cc59c8619bef7bc4de99bf2bbe496f9R36-R46) ```diff +def get_anthropic_client(helicone_api_key): + print("Using Anthropic with Helicone") + return ChatAnthropic( + model_name="claude-3-5-sonnet-20240620", + anthropic_api_url="https://anthropic.helicone.ai/", + default_headers={ + "Helicone-Auth": f"Bearer {helicone_api_key}", + }, + ) +# Similar helper functions for OpenAI and AzureChatOpenAI if os.environ.get("ANTHROPIC_API_KEY"): - if helicone_api_key: - print("Using Anthropic with Helicone") - return ChatAnthropic( - model_name="claude-3-5-sonnet-20240620", - anthropic_api_url="https://anthropic.helicone.ai/", - default_headers={ - "Helicone-Auth": f"Bearer {helicone_api_key}", - }, - ) # type: ignore + return get_anthropic_client(helicone_api_key) ``` - [ ] **Apply this suggestion** Suggestion importance[1-10]: 7Why: While the suggestion improves code readability and maintainability, it is not critical. The current implementation is functional, but the refactor would make the code cleaner and easier to manage. | 7 |
PR Type
Enhancement, Tests
Description
edit
function to return an empty string instead of "No lint errors found".calculate_operation
action for basic arithmetic operations.get_langchain_llm
function to dynamically select the LLM based on environment variables in the CrewAI SWE Agent.get_langchain_llm
function.logs_dir
path in theget_score
function call in the benchmark utility.test_workspace
function with a new repository name and file path, and added additional logging for file scroll actions.calculate_operation
action to the agent template and appended it to the tools list.Changes walkthrough ๐
file.py
Adjust error message in `edit` function
python/composio/tools/env/filemanager/file.py
edit
function to return an empty error string instead of"No lint errors found".
agent.py
Add arithmetic action and dynamic LLM selection
python/swe/examples/crewai_agent/agent.py
calculate_operation
action for basic arithmetic operations.get_langchain_llm
function to dynamically select LLM basedon environment variables.
get_langchain_llm
.utils.py
Update logs directory path in benchmark utility
python/swe/swekit/benchmark/utils.py - Updated the `logs_dir` path in the `get_score` function call.
agent.template
Add arithmetic action to agent template
python/swe/swekit/scaffold/templates/crewai/agent.template
calculate_operation
action for basic arithmetic operations.test_workspace.py
Update test_workspace with new repo and file paths
python/tests/test_tools/test_local/test_workspace.py
test_workspace
.test_workspace
.