Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix: improve line extraction from files with missing content #1420

Merged
merged 1 commit into from
Dec 27, 2024

Conversation

mrT23
Copy link
Collaborator

@mrT23 mrT23 commented Dec 27, 2024

PR Type

Bug fix, Enhancement


Description

  • Added robust error handling for line extraction from git patches with try-except blocks and detailed error logging
  • Implemented fallback mechanism to extract lines from patch when file content is missing
  • Improved code reliability by filtering out deleted lines and handling edge cases
  • Enhanced debugging capabilities with detailed error messages and tracebacks
  • Added documentation and improved code structure

Changes walkthrough 📝

Relevant files
Error handling
git_patch_processing.py
Add error handling to hunk line extraction process             

pr_agent/algo/git_patch_processing.py

  • Added error handling with try-except block around hunk line extraction
    logic
  • Added logging of errors with traceback for better debugging
  • Code structure improved with better indentation and error recovery
  • +41/-38 
    Enhancement
    utils.py
    Enhance line extraction with patch-based fallback               

    pr_agent/algo/utils.py

  • Added fallback mechanism to extract lines from patch when file content
    is missing
  • Improved handling of missing file content with better logging
  • Added docstring to explain function purpose
  • Added filtering of deleted lines from patch content
  • +23/-5   

    💡 PR-Agent usage: Comment /help "your question" on any pull request to receive relevant information

    Copy link
    Contributor

    PR Reviewer Guide 🔍

    Here are some key observations to aid the review process:

    ⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪
    🏅 Score: 92
    🧪 No relevant tests
    🔒 No security concerns identified
    ⚡ Recommended focus areas for review

    Error Handling

    The fallback mechanism for extracting lines from patch should validate the extracted content is not empty before processing it further

    _, selected_lines = extract_hunk_lines_from_patch(patch, file.filename, start_line, end_line,side='right')
    if not selected_lines:
        get_logger().error(f"Failed to extract relevant lines from patch: {file.filename}")
        return ""

    Copy link
    Contributor

    PR Code Suggestions ✨

    Explore these optional code suggestions:

    CategorySuggestion                                                                                                                                    Score
    Possible issue
    Add validation for regex match results before processing to prevent potential runtime errors

    Add validation for empty or None values in the match variable before calling
    extract_hunk_headers(). The current code assumes the regex match is successful but
    could fail if the hunk header is malformed.

    pr_agent/algo/git_patch_processing.py [385-387]

     match = RE_HUNK_HEADER.match(line)
    +if not match:
    +    get_logger().error(f"Failed to parse hunk header: {line}")
    +    continue
     section_header, size1, size2, start1, start2 = extract_hunk_headers(match)
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    Why: The suggestion addresses a critical error handling case that could cause runtime errors if the hunk header is malformed. Adding validation before processing the match result improves code robustness.

    8
    Validate patch content existence before processing to prevent potential errors

    Add validation for empty or malformed patch content before attempting to extract
    lines from it in the fallback mechanism.

    pr_agent/algo/utils.py [289-291]

     patch = file.patch
    +if not patch:
    +    get_logger().error(f"No content or patch found in file: '{file.filename}'")
    +    return ""
     get_logger().info(f"No content found in file: '{file.filename}' for 'extract_relevant_lines_str'. Using patch instead")
     _, selected_lines = extract_hunk_lines_from_patch(patch, file.filename, start_line, end_line,side='right')
    • Apply this suggestion
    Suggestion importance[1-10]: 7

    Why: The suggestion adds important null/empty check for patch content before processing, preventing potential errors in the fallback mechanism. This validation improves error handling and code reliability.

    7
    Add length validation before string slicing to prevent index errors

    When filtering out deleted lines from the patch, ensure the line has content before
    accessing index [1:] to avoid index out of range errors.

    pr_agent/algo/utils.py [297-300]

     for line in selected_lines.splitlines():
         if line.startswith('-'):
             continue
    -    relevant_lines_str += line[1:] + '\n'
    +    if len(line) > 0:
    +        relevant_lines_str += line[1:] + '\n'
    +    else:
    +        relevant_lines_str += '\n'
    • Apply this suggestion
    Suggestion importance[1-10]: 6

    Why: The suggestion prevents potential index out of range errors when handling empty lines in the patch content. While not a critical issue, it improves code robustness by handling edge cases.

    6
    • Author self-review: I have reviewed the PR code suggestions, and addressed the relevant ones.

    @mrT23 mrT23 merged commit 7b2c41e into main Dec 27, 2024
    2 checks passed
    @mrT23 mrT23 deleted the tr/review_fix branch December 27, 2024 07:02
    @mrT23
    Copy link
    Collaborator Author

    mrT23 commented Dec 27, 2024

    /help "Is the Gemini Flash 2.0 model supported using Google AI Studio?"

    Copy link
    Contributor

    Question:

    Is the Gemini Flash 2.0 model supported using Google AI Studio?

    Answer:

    Yes, Google AI Studio models including Gemini-1.5-flash can be used with Qodo Merge. To use it, you need to:

    1. Set the model configuration in your configuration.toml file:
    [config]
    model="google_ai_studio/gemini-1.5-flash"
    fallback_models=["google_ai_studio/gemini-1.5-flash"]
    1. Set your Google AI Studio API key either in .secrets.toml:
    [google_ai_studio]
    gemini_api_key = "..."

    Or as an environment variable: GOOGLE_AI_STUDIO.GEMINI_API_KEY

    Relevant Sources:

    Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
    Projects
    None yet
    Development

    Successfully merging this pull request may close these issues.

    2 participants