Tr/err protections

[mrT23]

User description

aaa

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PR Type

Enhancement, Bug fix

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Description

• Enhanced error handling and logging across multiple files:
  • Improved AI prediction parsing in utils.py with better fallback mechanisms and logging
  • Added handling for short diffs and improved logging in Bitbucket provider
  • Adjusted log levels for label publishing failures in Azure DevOps, GitHub, and GitLab providers
  • Changed log level for empty PR diff in pr_code_suggestions.py
  • Improved error handling and added null checks in PR description tool
• Standardized error logging approach across different modules
• Increased robustness of the system by handling edge cases and potential errors

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Changes walkthrough 📝

Relevant files

Error handling

utils.py Enhanced logging and error handling for AI prediction parsing pr_agent/algo/utils.py Improved error handling for AI prediction parsing Added warning log for initial parse failure Added error log for fallback failure Added info log for successful parse after fallbacks +6/-1      azuredevops_provider.py Adjusted log level for label publishing failure                    pr_agent/git_providers/azuredevops_provider.py Changed log level from exception to warning for failed label publishing +1/-1      bitbucket_provider.py Enhanced diff handling and logging in Bitbucket provider  pr_agent/git_providers/bitbucket_provider.py Added handling for short diffs Improved error logging for failed diff retrieval Added info logging for empty diffs +5/-2      github_provider.py Adjusted log level for label publishing failure                    pr_agent/git_providers/github_provider.py Changed log level from exception to warning for failed label publishing +1/-1      gitlab_provider.py Adjusted log level for label publishing failure                    pr_agent/git_providers/gitlab_provider.py Changed log level from exception to warning for failed label publishing +1/-1      pr_code_suggestions.py Adjusted log level for empty PR diff                                          pr_agent/tools/pr_code_suggestions.py Changed log level from error to warning for empty PR diff +1/-1      pr_description.py Improved error handling and null checks in PR description tool pr_agent/tools/pr_description.py Changed log level from error to warning for empty prediction Added null check for data and pr_files in _prepare_file_labels method +3/-1

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💡 PR-Agent usage:
Comment /help on the PR to get a list of all available PR-Agent tools and their descriptions

[qodo-merge-pro]

PR Reviewer Guide 🔍

⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪

🏅 Score: 92

🧪 No relevant tests

🔒 No security concerns identified

🔀 Multiple PR themes Sub-PR theme: Improve AI prediction parsing and logging in utils.py Relevant files: pr_agent/algo/utils.py Sub-PR theme: Standardize error logging for label publishing across git providers Relevant files: pr_agent/git_providers/azuredevops_provider.py pr_agent/git_providers/github_provider.py pr_agent/git_providers/gitlab_provider.py Sub-PR theme: Enhance error handling and logging in Bitbucket provider and PR tools Relevant files: pr_agent/git_providers/bitbucket_provider.py pr_agent/tools/pr_code_suggestions.py pr_agent/tools/pr_description.py

⚡ Key issues to review Error Handling The new error handling in the load_yaml function might hide important errors. Consider logging the original exception along with the fallback attempts. Potential Bug The condition for disregarding empty diffs (len(diff_split_lines) <= 3) might be too strict and could potentially ignore valid small changes.

[mrT23]

/describe

[qodo-merge-pro]

PR Description updated to latest commit (f4b0664)

• Copy walkthrough table to "Files Changed" Tab

[mrT23]

/improve

[qodo-merge-pro]

PR Code Suggestions ✨

Latest suggestions up to f4b0664

Category	Suggestion	Score
Best practice	Use a more specific exception type for better error handling Consider using a more specific exception type instead of the generic Exception to catch only expected errors. This will help in better error handling and avoid catching unexpected exceptions. pr_agent/algo/utils.py [561-564] try: data = yaml.safe_load(response_text) -except Exception as e: +except yaml.YAMLError as e: get_logger().warning(f"Initial failure to parse AI prediction: {e}") Apply this suggestion Suggestion importance[1-10]: 7 Why: Using a specific exception type (yaml.YAMLError) instead of the generic Exception improves error handling precision and clarity.	7
Enhancement	Use a guard clause to handle edge cases early in the function Consider using a guard clause to handle the case when self.data is None or doesn't contain 'pr_files'. This will make the code more readable and reduce nesting. pr_agent/tools/pr_description.py [509-513] def _prepare_file_labels(self): + if not self.data or 'pr_files' not in self.data: + return {} + file_label_dict = {} - if not self.data or 'pr_files' not in self.data: - return file_label_dict for file in self.data['pr_files']: Apply this suggestion Suggestion importance[1-10]: 6 Why: The suggested guard clause improves code readability and reduces nesting, making the function's logic clearer and more maintainable.	6
Maintainability	Extract file name retrieval logic into a separate function Consider extracting the file name retrieval logic into a separate function to improve code readability and maintainability. pr_agent/git_providers/bitbucket_provider.py [197] -get_logger().info(f"Disregarding empty diff for file {_gef_filename(diffs[i])}") +def get_filename(diff): + return _gef_filename(diff) +get_logger().info(f"Disregarding empty diff for file {get_filename(diffs[i])}") + Apply this suggestion Suggestion importance[1-10]: 4 Why: While extracting the logic could improve readability, the current implementation is already concise and clear. The benefit is minimal.	4

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Previous suggestions

Suggestions up to commit f4b0664

Category	Suggestion	Score
Best practice	Use a more specific exception type for better error handling Consider using a more specific exception type instead of the generic Exception to catch and handle specific errors that may occur during YAML parsing. This can help in better error handling and debugging. pr_agent/algo/utils.py [561-564] try: data = yaml.safe_load(response_text) -except Exception as e: +except yaml.YAMLError as e: get_logger().warning(f"Initial failure to parse AI prediction: {e}") Suggestion importance[1-10]: 7 Why: Using a specific exception type (yaml.YAMLError) improves error handling and debugging, but the change is not critical for functionality.	7
Enhancement	Add a log message when returning an empty file label dictionary Consider adding a log message to indicate when file_label_dict is empty due to missing data. This can help in debugging and understanding the flow of the function. pr_agent/tools/pr_description.py [509-512] def _prepare_file_labels(self): file_label_dict = {} if not self.data or 'pr_files' not in self.data: + get_logger().debug("No PR files data available for preparing file labels") return file_label_dict Suggestion importance[1-10]: 6 Why: Adding a debug log message when no PR files data is available improves debugging capabilities without affecting functionality.	6
	Use a more explicit representation for invalid diffs Instead of using an empty string for invalid diffs, consider using a more explicit representation like None or a custom sentinel value. This can make it clearer when a diff is intentionally empty versus when it's invalid. pr_agent/git_providers/bitbucket_provider.py [195-200] elif len(diff_split_lines) <= 3: - diff_split[i] = "" + diff_split[i] = None get_logger().info(f"Disregarding empty diff for file {_gef_filename(diffs[i])}") else: get_logger().error(f"Error - failed to get diff for file {_gef_filename(diffs[i])}") - diff_split[i] = "" + diff_split[i] = None Suggestion importance[1-10]: 5 Why: Using None instead of an empty string for invalid diffs can improve code clarity, but the current implementation is functional.	5
	Add a debug log message before early return for better context Consider adding a debug log message before the early return when the prediction is empty. This can provide more context about why the function is returning None. pr_agent/tools/pr_description.py [92-97] if self.prediction: self._prepare_data() else: get_logger().warning(f"Empty prediction, PR: {self.pr_id}") + get_logger().debug("Returning None due to empty prediction") self.git_provider.remove_initial_comment() return None Suggestion importance[1-10]: 4 Why: Adding a debug log message provides more context, but it's a minor improvement as a warning is already being logged.	4