Develop temp #469
Develop temp #469
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Code Review Analysis
Code Review Feedback💡 General suggestions: The function reset_files should include proper error handling for cases where the file operations might fail, such as file not found or permission issues. Additionally, it would be beneficial to include unit tests to ensure that the function behaves as expected for different file types and edge cases. ✨ Usage tips:
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| @@ -0,0 +1,8 @@ | |||
| def reset_files(filepath, file_type="txt"): | |||
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Import the json module at the beginning of the file to ensure that json.dumps can be used within the reset_files function. [important]
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| def reset_files(filepath, file_type="txt"): | |||
| with open(filepath, "w") as output_file: | |||
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Add error handling for file operations to catch and log exceptions such as FileNotFoundError and PermissionError. [important]
| elif file_type == "json": | ||
| output_file.write(json.dumps({})) | ||
| else: | ||
| log.error("ERROR: Invalid file type") |
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Consider using a more robust logging mechanism instead of log.error which may not be defined. Ensure that the logging is set up correctly or use the logging module. [important]
| elif file_type == "json": | ||
| output_file.write(json.dumps({})) | ||
| else: | ||
| log.error("ERROR: Invalid file type") |
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Add a return statement or raise an exception after logging the error to prevent the function from silently failing. [important]
| @@ -0,0 +1,8 @@ | |||
| def reset_files(filepath, file_type="txt"): | |||
| with open(filepath, "w") as output_file: | |||
| if file_type == "txt": | |||
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Refactor the function to use a dictionary mapping file types to their respective reset values for scalability and cleaner code. [medium]
| def reset_files(filepath, file_type="txt"): | ||
| with open(filepath, "w") as output_file: | ||
| if file_type == "txt": | ||
| output_file.write("") | ||
| elif file_type == "json": | ||
| output_file.write(json.dumps({})) | ||
| else: | ||
| log.error("ERROR: Invalid file type") |
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Suggestion: Import the 'json' module to ensure that 'json.dumps({})' works. Without this import, the code will raise a 'NameError' when 'file_type' is 'json'. [bug]
NOTE: Ensure that the suggested code is comprehensive. This serves as an example of the code you could use. The user should verify it after accepting the suggestion.
| def reset_files(filepath, file_type="txt"): | |
| with open(filepath, "w") as output_file: | |
| if file_type == "txt": | |
| output_file.write("") | |
| elif file_type == "json": | |
| output_file.write(json.dumps({})) | |
| else: | |
| log.error("ERROR: Invalid file type") | |
| import json | |
| def reset_files(filepath, file_type="txt"): | |
| with open(filepath, "w") as output_file: | |
| if file_type == "txt": | |
| output_file.write("") | |
| elif file_type == "json": | |
| output_file.write(json.dumps({})) | |
| else: | |
| log.error("ERROR: Invalid file type") |
| def reset_files(filepath, file_type="txt"): | ||
| with open(filepath, "w") as output_file: | ||
| if file_type == "txt": | ||
| output_file.write("") | ||
| elif file_type == "json": | ||
| output_file.write(json.dumps({})) | ||
| else: | ||
| log.error("ERROR: Invalid file type") |
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Suggestion: Define the 'log' object or replace 'log.error' with 'print' to standard output or raise an exception to avoid 'NameError' when an invalid 'file_type' is provided. [bug]
NOTE: Ensure that the suggested code is comprehensive. This serves as an example of the code you could use. The user should verify it after accepting the suggestion.
| def reset_files(filepath, file_type="txt"): | |
| with open(filepath, "w") as output_file: | |
| if file_type == "txt": | |
| output_file.write("") | |
| elif file_type == "json": | |
| output_file.write(json.dumps({})) | |
| else: | |
| log.error("ERROR: Invalid file type") | |
| import json | |
| def reset_files(filepath, file_type="txt"): | |
| with open(filepath, "w") as output_file: | |
| if file_type == "txt": | |
| output_file.write("") | |
| elif file_type == "json": | |
| output_file.write(json.dumps({})) | |
| else: | |
| print("ERROR: Invalid file type") # or raise ValueError("ERROR: Invalid file type") |
| def reset_files(filepath, file_type="txt"): | ||
| with open(filepath, "w") as output_file: | ||
| if file_type == "txt": | ||
| output_file.write("") | ||
| elif file_type == "json": | ||
| output_file.write(json.dumps({})) | ||
| else: | ||
| log.error("ERROR: Invalid file type") |
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Suggestion: Handle potential exceptions that can be raised during file operations, such as 'FileNotFoundError' or 'PermissionError', to make the code more robust. [enhancement]
NOTE: Ensure that the suggested code is comprehensive. This serves as an example of the code you could use. The user should verify it after accepting the suggestion.
| def reset_files(filepath, file_type="txt"): | |
| with open(filepath, "w") as output_file: | |
| if file_type == "txt": | |
| output_file.write("") | |
| elif file_type == "json": | |
| output_file.write(json.dumps({})) | |
| else: | |
| log.error("ERROR: Invalid file type") | |
| import json | |
| def reset_files(filepath, file_type="txt"): | |
| try: | |
| with open(filepath, "w") as output_file: | |
| if file_type == "txt": | |
| output_file.write("") | |
| elif file_type == "json": | |
| output_file.write(json.dumps({})) | |
| else: | |
| print("ERROR: Invalid file type") # or raise ValueError("ERROR: Invalid file type") | |
| except (FileNotFoundError, PermissionError) as e: | |
| print(f"Failed to reset file: {e}") |
The PR review is to check for sustainability and correctness. Sustainability is actually more business critical as correctness is largely tested into the code over time. Its useful to keep in mind that SW often outlives the HW it was written for and engineers move from job to job so it is critical that code developed for Intel be supportable across many years. It is up to the submitter and reviewer to look at the code from a perspective of what if we have to debug this 3 years from now after the author is no longer available and defect databases have been lost. Yes, that happens all the time when we are working with time scales of more than 2 years. When reviewing your code it is important to look at it from this perspective.
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