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Enhancements in Token Clipping, PR Statistics Calculation, and Conditional Review Labeling #848

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merged 2 commits into from
Apr 8, 2024

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mrT23
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@mrT23 mrT23 commented Apr 8, 2024

Type

enhancement, bug_fix


Description

  • Improved the presentation of clipped text tokens by appending a newline before "...(truncated)".
  • Simplified the PR statistics calculation by making calc_pr_statistics return an empty dictionary directly.
  • Added a condition to only set review labels if the publish_output setting is enabled, enhancing configurability.
  • Updated the unit test for clip_tokens to align with the new token clipping behavior.

Changes walkthrough

Relevant files
Enhancement
utils.py
Improve Text Token Clipping Presentation                                 

pr_agent/algo/utils.py

  • Modified the clip_tokens function to append a newline before
    "...(truncated)" when clipping text tokens.
  • +1/-1     
    github_provider.py
    Simplify PR Statistics Calculation                                             

    pr_agent/git_providers/github_provider.py

  • Removed the implementation of calc_pr_statistics function, making it
    return an empty dictionary directly.
  • +1/-19   
    pr_reviewer.py
    Conditional Review Labeling Based on Configuration             

    pr_agent/tools/pr_reviewer.py

  • Added a condition to check the publish_output setting before setting
    review labels.
  • +3/-0     
    Tests
    test_clip_tokens.py
    Update Test for Improved Token Clipping                                   

    tests/unittest/test_clip_tokens.py

  • Updated the test for clip_tokens to reflect the new line addition
    before "...(truncated)".
  • +1/-1     

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

    @codiumai-pr-agent-pro codiumai-pr-agent-pro bot added enhancement New feature or request bug_fix labels Apr 8, 2024
    Copy link
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    codiumai-pr-agent-pro bot commented Apr 8, 2024

    PR Description updated to latest commit (8a5b01b)

    Copy link
    Contributor

    codiumai-pr-agent-pro bot commented Apr 8, 2024

    PR Review

    (Review updated until commit 8a5b01b)

    ⏱️ Estimated effort to review [1-5]

    2, because the changes are straightforward and localized to specific functions across a few files. The logic is clear, and the modifications are concise, focusing on enhancing existing functionalities and fixing a bug. Reviewing these changes requires understanding the context of the enhancements and ensuring that the logic correctly implements the intended behavior without introducing new issues.

    🏅 Score

    85

    🧪 Relevant tests

    Yes

    🔍 Possible issues

    Efficiency Concern: The removal of the calc_pr_statistics logic in github_provider.py simplifies the code but may overlook the need for future statistics calculation enhancements. Consider if a more flexible solution could be beneficial for handling different types of PR data analysis.

    🔒 Security concerns

    No


    ✨ Review tool usage guide:

    Overview:
    The review tool scans the PR code changes, and generates a PR review which includes several types of feedbacks, such as possible PR issues, security threats and relevant test in the PR. More feedbacks can be added by configuring the tool.

    The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on any PR.

    • When commenting, to edit configurations related to the review tool (pr_reviewer section), use the following template:
    /review --pr_reviewer.some_config1=... --pr_reviewer.some_config2=...
    
    [pr_reviewer]
    some_config1=...
    some_config2=...
    

    See the review usage page for a comprehensive guide on using this tool.

    Copy link
    Contributor

    PR Code Suggestions

    CategorySuggestions                                                                                                                                                       
    Enhancement
    Remove newline character before truncation message for consistent text formatting.

    Consider removing the newline character before the truncation message to maintain the
    consistency of the text formatting.

    pr_agent/algo/utils.py [578]

    -clipped_text += "\n...(truncated)"
    +clipped_text += " ...(truncated)"
     
    Add logging for skipped review labels due to configuration.

    Add a logging statement to indicate when the review labels setting is skipped due to the
    publish_output configuration.

    pr_agent/tools/pr_reviewer.py [360-361]

     if not get_settings().config.publish_output:
    +    get_logger().info("Skipping review labels due to publish_output setting.")
         return
     
    Bug
    Restore or replace the implementation of PR statistics calculation.

    Restoring the original implementation of calc_pr_statistics or providing a new
    implementation is crucial for maintaining the functionality of calculating PR statistics.

    pr_agent/git_providers/github_provider.py [748]

    -return {}
    +# Example restoration of original functionality
    +try:
    +    out = {}
    +    from datetime import datetime
    +    created_at = pull_request_data['created_at']
    +    closed_at = pull_request_data['closed_at']
    +    # Conversion and calculation logic here...
    +    return out
    +except Exception as e:
    +    get_logger().exception(f"Failed to calculate PR statistics, error: {e}")
    +    return {}
     
    Update test expectation to match new truncation message format.

    Update the expected result in the test to match the new truncation message format,
    removing the newline character.

    tests/unittest/test_clip_tokens.py [18]

    -expected_results = 'line1\nline2\nline3\nli\n...(truncated)'
    +expected_results = 'line1\nline2\nline3\nli ...(truncated)'
     

    ✨ Improve tool usage guide:

    Overview:
    The improve tool scans the PR code changes, and automatically generates suggestions for improving the PR code. The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.

    • When commenting, to edit configurations related to the improve tool (pr_code_suggestions section), use the following template:
    /improve --pr_code_suggestions.some_config1=... --pr_code_suggestions.some_config2=...
    
    [pr_code_suggestions]
    some_config1=...
    some_config2=...
    

    See the improve usage page for a comprehensive guide on using this tool.

    @mrT23
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    mrT23 commented Apr 8, 2024

    /review auto_approve

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    Auto-approved PR

    @mrT23 mrT23 merged commit 7e66418 into main Apr 8, 2024
    1 check passed
    @mrT23 mrT23 deleted the tr/readme branch April 8, 2024 12:50
    @hussam789
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    /describe
    --pr_description.keep_original_user_title=false

    @codiumai-pr-agent-pro codiumai-pr-agent-pro bot changed the title Tr/readme Enhancements in Token Clipping, PR Statistics Calculation, and Conditional Review Labeling Apr 10, 2024
    Copy link
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    PR Description updated to latest commit (8a5b01b)

    @mrT23
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    mrT23 commented Apr 10, 2024

    /custom_suggestions --pr_custom_suggestions.prompt="The suggestions should focus only on the following:
    (1) major bugs
    (2) code smells
    (3) typos
    (4) add one suggestion with a joke
    "

    Copy link
    Contributor

    PR Custom Suggestions

    Suggestions                                                                                                                                                     
    Performance
    Improve string concatenation performance.                                    

    The string concatenation operation can be expensive, especially for large strings. It's
    better to use a list and join the elements at the end.

    pr_agent/algo/utils.py [578]

    -clipped_text += "\n...(truncated)"
    +clipped_text = [clipped_text, "\n...(truncated)"]
    +return ''.join(clipped_text)
     
    Code Smell
    Implement or remove the calc_pr_statistics method.              

    The calc_pr_statistics method is currently returning an empty dictionary which is not
    useful. Please implement the method or remove it if it's not needed.

    pr_agent/git_providers/github_provider.py [748]

     def calc_pr_statistics(self, pull_request_data: dict):
    -    return {}
    +    # implement the method
    +    ...
     
    Readability
    Use a guard clause to improve code readability.                              

    It's better to use a guard clause to reduce the level of indentation and improve code
    readability.

    pr_agent/tools/pr_reviewer.py [360]

    -if not get_settings().config.publish_output:
    -    return
    +if get_settings().config.publish_output:
    +    # rest of the code
    +    ...
     
    Joke
    Add a comment and a smiley face to the truncated string.                     

    Consider adding a comment explaining why you're adding a newline before "(truncated)". It
    might be a bit confusing for others reading your code. Also, why not make it a happy
    ending with a smiley face? :)

    pr_agent/algo/utils.py [578]

    -clipped_text += "\n...(truncated)"
    +# Adding a newline for better readability in the output
    +clipped_text += "\n...(truncated) :)"
     

    ✨ Usage guide:

    Overview:
    The custom_suggestions tool scans the PR code changes, and automatically generates custom suggestions for improving the PR code.

    Unlike the improve tool, which offers more general suggestion according to a pre-configured set of rules, the custom_suggestions tool will only propose suggestion that follow specific guidelines defined by the prompt in: pr_custom_suggestions.prompt configuration.

    The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.
    When commenting, use the following template:

    /custom_suggestions --pr_custom_suggestions.prompt="The suggestions should focus only on the following:\n-...\n-...\n-..."
    

    With a https://pr-agent-docs.codium.ai/usage-guide/configuration_options/, use the following template:

    [pr_custom_suggestions]
    prompt="""\
    The suggestions should focus only on the following:
    -...
    -...
    -...
    """
    

    Using a configuration file is recommended, since it allows to use multi-line instructions.

    Don't forget - with this tool, you are the prompter. Be specific, clear, and concise in the instructions. Specify relevant aspects that you want the model to focus on. You might benefit from several trial-and-error iterations, until you get the correct prompt for your use case.

    Example usage

    Here is an example for a possible prompt:

    [pr_custom_suggestions]
    prompt="""\
    The suggestions should focus only on the following:
    - look for edge cases when implementing a new function
    - make sure every variable has a meaningful name
    - make sure the code is efficient
    """
    

    The instructions above are just an example. We want to emphasize that the prompt should be specific and clear, and be tailored to the needs of your project.

    More PR-Agent commands

    To invoke the PR-Agent, add a comment using one of the following commands:

    • /review: Request a review of your Pull Request.
    • /describe: Update the PR title and description based on the contents of the PR.
    • /improve [--extended]: Suggest code improvements. Extended mode provides a higher quality feedback.
    • /ask <QUESTION>: Ask a question about the PR.
    • /update_changelog: Update the changelog based on the PR's contents.
    • /add_docs 💎: Generate docstring for new components introduced in the PR.
    • /generate_labels 💎: Generate labels for the PR based on the PR's contents.
    • /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component.

    See the tools guide for more details.
    To list the possible configuration parameters, add a /config comment.

    See the custom suggestions usage page for a more comprehensive guide on using this tool.

    @mrT23
    Copy link
    Collaborator Author

    mrT23 commented Apr 10, 2024

    PR Description updated to latest commit (8a5b01b)

    @mrT23
    Copy link
    Collaborator Author

    mrT23 commented Apr 10, 2024

    PR Custom Suggestions

    Suggestions                                                                                                                                                     
    Readability
    Improve readability by adding a space before "(truncated)".                  

    Consider using a space before "(truncated)" for better readability.

    pr_agent/algo/utils.py [578]

    -clipped_text += "\n...(truncated)"
    +clipped_text += "\n ...(truncated)"
     
    Add a comment to explain early return in set_review_labels method.

    Consider adding a comment to explain why you're returning early when publish_output is
    False. This will make the code more understandable for other developers.

    pr_agent/tools/pr_reviewer.py [360-361]

    +# If publish_output is disabled in the settings, we don't need to set review labels
     if not get_settings().config.publish_output:
         return
     
    Bug Risk
    Ensure correct implementation of calc_pr_statistics function.   

    The function calc_pr_statistics is returning an empty dictionary which might not be the
    intended behavior. Please ensure that the function is correctly implemented.

    pr_agent/git_providers/github_provider.py [748]

     def calc_pr_statistics(self, pull_request_data: dict):
    -    return {}
    +    # Implement the function here
    +    ...
     
    Test Coverage
    Add more test cases to cover different scenarios in test_clip_tokens.

    Why did the programmer go broke? Because he used up all his cache. On a serious note,
    consider adding more test cases to cover different scenarios.

    tests/unittest/test_clip_tokens.py [17-19]

    +# Test when text is empty
    +result = clip_tokens("", max_tokens)
    +assert result == ""
    +
    +# Test when max_tokens is zero
    +result = clip_tokens(text, 0)
    +assert result == ""
    +
    +# Test when max_tokens is more than the number of tokens in text
    +result = clip_tokens(text, 100)
    +assert result == text
    +
    +# Test when max_tokens is less than the number of tokens in text
     result = clip_tokens(text, max_tokens)
     expected_results = 'line1\nline2\nline3\nli\n...(truncated)'
     assert result == expected_results
     

    ✨ Usage guide:

    Overview:
    The custom_suggestions tool scans the PR code changes, and automatically generates custom suggestions for improving the PR code.

    Unlike the improve tool, which offers more general suggestion according to a pre-configured set of rules, the custom_suggestions tool will only propose suggestion that follow specific guidelines defined by the prompt in: pr_custom_suggestions.prompt configuration.

    The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.
    When commenting, use the following template:

    /custom_suggestions --pr_custom_suggestions.prompt="The suggestions should focus only on the following:\n-...\n-...\n-..."
    

    With a https://pr-agent-docs.codium.ai/usage-guide/configuration_options/, use the following template:

    [pr_custom_suggestions]
    prompt="""\
    The suggestions should focus only on the following:
    -...
    -...
    -...
    """
    

    Using a configuration file is recommended, since it allows to use multi-line instructions.

    Don't forget - with this tool, you are the prompter. Be specific, clear, and concise in the instructions. Specify relevant aspects that you want the model to focus on. You might benefit from several trial-and-error iterations, until you get the correct prompt for your use case.

    Example usage

    Here is an example for a possible prompt:

    [pr_custom_suggestions]
    prompt="""\
    The suggestions should focus only on the following:
    - look for edge cases when implementing a new function
    - make sure every variable has a meaningful name
    - make sure the code is efficient
    """
    

    The instructions above are just an example. We want to emphasize that the prompt should be specific and clear, and be tailored to the needs of your project.

    More PR-Agent commands

    To invoke the PR-Agent, add a comment using one of the following commands:

    • /review: Request a review of your Pull Request.
    • /describe: Update the PR title and description based on the contents of the PR.
    • /improve [--extended]: Suggest code improvements. Extended mode provides a higher quality feedback.
    • /ask <QUESTION>: Ask a question about the PR.
    • /update_changelog: Update the changelog based on the PR's contents.
    • /add_docs 💎: Generate docstring for new components introduced in the PR.
    • /generate_labels 💎: Generate labels for the PR based on the PR's contents.
    • /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component.

    See the tools guide for more details.
    To list the possible configuration parameters, add a /config comment.

    See the custom suggestions usage page for a more comprehensive guide on using this tool.

    @mrT23
    Copy link
    Collaborator Author

    mrT23 commented Apr 10, 2024

    /custom_suggestions

    Copy link
    Contributor

    PR Custom Suggestions

    Suggestions                                                                                                                                                     
    Readability
    Improve readability by adding a space before "(truncated)".                  

    Consider using a space before "(truncated)" to improve readability.

    pr_agent/algo/utils.py [578]

    -clipped_text += "\n...(truncated)"
    +clipped_text += "\n ...(truncated)"
     
    Code Clarity
    Add a comment to explain why calc_pr_statistics is returning an empty dictionary.

    The method calc_pr_statistics is returning an empty dictionary. If this is intentional,
    consider adding a comment to explain why.

    pr_agent/git_providers/github_provider.py [748]

     def calc_pr_statistics(self, pull_request_data: dict):
    +    # Returning an empty dictionary as this method is a placeholder for future implementation.
         return {}
     
    Add a comment to explain the condition checking get_settings().config.publish_output.

    Consider adding a comment to explain the purpose of the condition if not
    get_settings().config.publish_output:.

    pr_agent/tools/pr_reviewer.py [360-361]

    +# If the configuration does not allow publishing output, return immediately.
     if not get_settings().config.publish_output:
         return
     
    Humor
    Add a joke comment to lighten the mood.                                      

    Consider adding a joke comment to lighten the mood.

    tests/unittest/test_clip_tokens.py [18]

    +# Here's a joke to lighten your day: Why don't programmers like nature? It has too many bugs.
     expected_results = 'line1\nline2\nline3\nli\n...(truncated)'
     

    ✨ Usage guide:

    Overview:
    The custom_suggestions tool scans the PR code changes, and automatically generates custom suggestions for improving the PR code.

    Unlike the improve tool, which offers more general suggestion according to a pre-configured set of rules, the custom_suggestions tool will only propose suggestion that follow specific guidelines defined by the prompt in: pr_custom_suggestions.prompt configuration.

    The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.
    When commenting, use the following template:

    /custom_suggestions --pr_custom_suggestions.prompt="The suggestions should focus only on the following:\n-...\n-...\n-..."
    

    With a https://pr-agent-docs.codium.ai/usage-guide/configuration_options/, use the following template:

    [pr_custom_suggestions]
    prompt="""\
    The suggestions should focus only on the following:
    -...
    -...
    -...
    """
    

    Using a configuration file is recommended, since it allows to use multi-line instructions.

    Don't forget - with this tool, you are the prompter. Be specific, clear, and concise in the instructions. Specify relevant aspects that you want the model to focus on. You might benefit from several trial-and-error iterations, until you get the correct prompt for your use case.

    Example usage

    Here is an example for a possible prompt:

    [pr_custom_suggestions]
    prompt="""\
    The suggestions should focus only on the following:
    - look for edge cases when implementing a new function
    - make sure every variable has a meaningful name
    - make sure the code is efficient
    """
    

    The instructions above are just an example. We want to emphasize that the prompt should be specific and clear, and be tailored to the needs of your project.

    More PR-Agent commands

    To invoke the PR-Agent, add a comment using one of the following commands:

    • /review: Request a review of your Pull Request.
    • /describe: Update the PR title and description based on the contents of the PR.
    • /improve [--extended]: Suggest code improvements. Extended mode provides a higher quality feedback.
    • /ask <QUESTION>: Ask a question about the PR.
    • /update_changelog: Update the changelog based on the PR's contents.
    • /add_docs 💎: Generate docstring for new components introduced in the PR.
    • /generate_labels 💎: Generate labels for the PR based on the PR's contents.
    • /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component.

    See the tools guide for more details.
    To list the possible configuration parameters, add a /config comment.

    See the custom suggestions usage page for a more comprehensive guide on using this tool.

    @hussam789
    Copy link
    Collaborator

    /help

    Copy link
    Contributor

    PR Agent Walkthrough

    🤖 Welcome to the PR Agent, an AI-powered tool for automated pull request analysis, feedback, suggestions and more.

    Here is a list of tools you can use to interact with the PR Agent:

    ToolDescriptionTrigger Interactively 💎

    DESCRIBE

    Generates PR description - title, type, summary, code walkthrough and labels
    • Run

    REVIEW

    Adjustable feedback about the PR, possible issues, security concerns, review effort and more
    • Run

    IMPROVE

    Code suggestions for improving the PR
    • Run

    UPDATE CHANGELOG

    Automatically updates the changelog
    • Run

    ADD DOCS 💎

    Generates documentation to methods/functions/classes that changed in the PR
    • Run

    TEST 💎

    Generates unit tests for a specific component, based on the PR code change
    • Run

    IMPROVE COMPONENT 💎

    Code suggestions for a specific component that changed in the PR
    • Run

    ANALYZE 💎

    Identifies code components that changed in the PR, and enables to interactively generate tests, docs, and code suggestions for each component
    • Run

    ASK

    Answering free-text questions about the PR

    [*]

    GENERATE CUSTOM LABELS 💎

    Generates custom labels for the PR, based on specific guidelines defined by the user

    [*]

    CI FEEDBACK 💎

    Generates feedback and analysis for a failed CI job

    [*]

    CUSTOM SUGGESTIONS 💎

    Generates custom suggestions for improving the PR code, based only on specific guidelines defined by the user

    [*]

    SIMILAR ISSUE

    Automatically retrieves and presents similar issues

    [*]

    (1) Note that each tool be triggered automatically when a new PR is opened, or called manually by commenting on a PR.

    (2) Tools marked with [*] require additional parameters to be passed. For example, to invoke the /ask tool, you need to comment on a PR: /ask "<question content>". See the relevant documentation for each tool for more details.

    @mrT23
    Copy link
    Collaborator Author

    mrT23 commented Apr 10, 2024

    PR Custom Suggestions

    Suggestions                                                                                                                                                     
    Readability
    Improve string concatenation readability by using the format function.

    Consider using the format function to append the string. This can make the code more
    readable and maintainable.

    pr_agent/algo/utils.py [578]

    -clipped_text += "\n...(truncated)"
    +clipped_text = "{}\n...(truncated)".format(clipped_text)
     
    Functionality
    Ensure the calc_pr_statistics function is correctly implemented.

    The calc_pr_statistics function is now returning an empty dictionary, which might not be
    the intended behavior. If you want to return an empty dictionary as a placeholder, please
    make sure to implement the actual logic later.

    pr_agent/git_providers/github_provider.py [748]

    -return {}
    +...
     
    Efficiency
    Good use of early return to avoid unnecessary computations.                  

    The new condition if not get_settings().config.publish_output: seems to be checking if the
    output should be published or not. If the output should not be published, the function
    returns immediately. This is a good practice for avoiding unnecessary computations.

    pr_agent/tools/pr_reviewer.py [360-361]

    -if not get_settings().config.publish_output:\n    return
    +...
     

    ✨ Usage guide:

    Overview:
    The custom_suggestions tool scans the PR code changes, and automatically generates custom suggestions for improving the PR code.

    Unlike the improve tool, which offers more general suggestion according to a pre-configured set of rules, the custom_suggestions tool will only propose suggestion that follow specific guidelines defined by the prompt in: pr_custom_suggestions.prompt configuration.

    The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.
    When commenting, use the following template:

    /custom_suggestions --pr_custom_suggestions.prompt="The suggestions should focus only on the following:\n-...\n-...\n-..."
    

    With a https://pr-agent-docs.codium.ai/usage-guide/configuration_options/, use the following template:

    [pr_custom_suggestions]
    prompt="""\
    The suggestions should focus only on the following:
    -...
    -...
    -...
    """
    

    Using a configuration file is recommended, since it allows to use multi-line instructions.

    Don't forget - with this tool, you are the prompter. Be specific, clear, and concise in the instructions. Specify relevant aspects that you want the model to focus on. You might benefit from several trial-and-error iterations, until you get the correct prompt for your use case.

    Example usage

    Here is an example for a possible prompt:

    [pr_custom_suggestions]
    prompt="""\
    The suggestions should focus only on the following:
    - look for edge cases when implementing a new function
    - make sure every variable has a meaningful name
    - make sure the code is efficient
    """
    

    The instructions above are just an example. We want to emphasize that the prompt should be specific and clear, and be tailored to the needs of your project.

    More PR-Agent commands

    To invoke the PR-Agent, add a comment using one of the following commands:

    • /review: Request a review of your Pull Request.
    • /describe: Update the PR title and description based on the contents of the PR.
    • /improve [--extended]: Suggest code improvements. Extended mode provides a higher quality feedback.
    • /ask <QUESTION>: Ask a question about the PR.
    • /update_changelog: Update the changelog based on the PR's contents.
    • /add_docs 💎: Generate docstring for new components introduced in the PR.
    • /generate_labels 💎: Generate labels for the PR based on the PR's contents.
    • /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component.

    See the tools guide for more details.
    To list the possible configuration parameters, add a /config comment.

    See the custom suggestions usage page for a more comprehensive guide on using this tool.

    @mrT23
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    mrT23 commented Apr 10, 2024

    No user prompt detected. Skipping custom suggestions generation.

    @hussam789
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    /review --pr_reviewer.inline_code_comments=true

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    Persistent review updated to latest commit 8a5b01b

    @hussam789
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    /improve --pr_code_suggestions.summarize=true

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    PR Code Suggestions

    CategorySuggestions                                                                                                                                                       
    Enhancement
    Remove the newline character before the truncation message to maintain text formatting consistency.

    Consider removing the newline character before the truncation message to maintain the
    consistency of the text formatting. Adding a newline might unexpectedly alter the layout
    or presentation in some contexts where the clipped text is used.

    pr_agent/algo/utils.py [578]

    -clipped_text += "\n...(truncated)"
    +clipped_text += " ...(truncated)"
     
    Restore or simplify the PR statistics calculation instead of returning an empty dictionary.

    Implementing a placeholder or a basic version of calc_pr_statistics that returns an empty
    dictionary removes the functionality to calculate and return meaningful PR statistics.
    Consider restoring the original implementation or providing a simplified version that
    still offers some insights into the PR, such as counting commits or comments.

    pr_agent/git_providers/github_provider.py [748]

    -return {}
    +# Example of a simplified version that still provides some basic stats
    +return {
    +    'commits': len(pull_request_data.get('commits', [])),
    +    'comments': len(pull_request_data.get('comments', []))
    +}
     
    Update the test expectation to match the adjusted output of clip_tokens.

    The test case expectation is updated to match the new output of clip_tokens function with
    a newline before the truncation message. To ensure the test reflects the intended behavior
    accurately, consider if the newline is truly desired in all contexts where clip_tokens is
    used, as mentioned in the related suggestion for utils.py.

    tests/unittest/test_clip_tokens.py [18]

    -expected_results = 'line1\nline2\nline3\nli\n...(truncated)'
    +# Assuming the newline is removed based on the suggestion:
    +expected_results = 'line1\nline2\nline3\nli ...(truncated)'
     
    Best practice
    Ensure early return in set_review_labels does not skip necessary steps.

    Adding a return statement based on a condition at the beginning of set_review_labels
    improves the readability and reduces the nesting level for the rest of the function.
    However, ensure that this early return does not skip any necessary cleanup or finalization
    steps that might be added in the future.

    pr_agent/tools/pr_reviewer.py [360-361]

     if not get_settings().config.publish_output:
    +    # Ensure any necessary finalization steps are considered here before returning early
         return
     

    ✨ Improve tool usage guide:

    Overview:
    The improve tool scans the PR code changes, and automatically generates suggestions for improving the PR code. The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.

    • When commenting, to edit configurations related to the improve tool (pr_code_suggestions section), use the following template:
    /improve --pr_code_suggestions.some_config1=... --pr_code_suggestions.some_config2=...
    
    [pr_code_suggestions]
    some_config1=...
    some_config2=...
    

    See the improve usage page for a comprehensive guide on using this tool.

    @Codium-ai Codium-ai deleted a comment from codiumai-pr-agent-pro bot Apr 11, 2024
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    @@ -575,7 +575,7 @@ def clip_tokens(text: str, max_tokens: int, add_three_dots=True) -> str:
    num_output_chars = int(chars_per_token * max_tokens)
    clipped_text = text[:num_output_chars]
    if add_three_dots:
    clipped_text += " ...(truncated)"
    clipped_text += "\n...(truncated)"
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    Suggestion: Consider removing the newline character before the truncation message to maintain the consistency of the text format, especially if the text is expected to be in a single line or paragraph format. [enhancement]

    Suggested change
    clipped_text += "\n...(truncated)"
    clipped_text += " ...(truncated)"

    get_logger().exception(f"Failed to calculate PR statistics, error: {e}")
    return {}
    return out
    return {}
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    Suggestion: The new implementation of calc_pr_statistics returns an empty dictionary, which removes the functionality to calculate PR statistics. If this is intentional and temporary, consider adding a TODO comment to restore the functionality later. Otherwise, reimplement the method to provide meaningful statistics based on the pull_request_data. [possible issue]

    Suggested change
    return {}
    # TODO: Implement the calculation of PR statistics or restore previous functionality
    return {}

    Comment on lines +360 to +361
    if not get_settings().config.publish_output:
    return
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    Suggestion: Adding a condition to check publish_output before setting review labels is a good practice for conditional execution. However, consider logging a message when skipping the setting of review labels for clarity and debugging purposes. [enhancement]

    Suggested change
    if not get_settings().config.publish_output:
    return
    if not get_settings().config.publish_output:
    get_logger().info("Skipping setting review labels as publish_output is disabled.")
    return

    @@ -15,5 +15,5 @@ def test_clip(self):

    max_tokens = 10
    result = clip_tokens(text, max_tokens)
    expected_results = 'line1\nline2\nline3\nli ...(truncated)'
    expected_results = 'line1\nline2\nline3\nli\n...(truncated)'
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    Suggestion: The test expectation has been updated to match the new output of clip_tokens function. Ensure that this change is consistent with the desired output format across all tests and usage scenarios, considering the added newline character before the truncation indicator. [possible issue]

    Suggested change
    expected_results = 'line1\nline2\nline3\nli\n...(truncated)'
    expected_results = 'line1\nline2\nline3\nli ...(truncated)'

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    Changes walkthrough

    Enhancement
    utils.py (+1/-1)
    Improve Text Token Clipping Presentation                                 

    pr_agent/algo/utils.py

  • Modified the clip_tokens function to append a newline before
    "...(truncated)" when clipping text tokens.
  • github_provider.py (+1/-19)
    Simplify PR Statistics Calculation                                             

    pr_agent/git_providers/github_provider.py

  • Removed the implementation of calc_pr_statistics function, making it
    return an empty dictionary directly.
  • pr_reviewer.py (+3/-0)
    Conditional Review Labeling Based on Configuration             

    pr_agent/tools/pr_reviewer.py

  • Added a condition to check the publish_output setting before setting
    review labels.
  • Tests
    test_clip_tokens.py (+1/-1)
    Update Test for Improved Token Clipping                                   

    tests/unittest/test_clip_tokens.py

  • Updated the test for clip_tokens to reflect the new line addition
    before "...(truncated)".
  • @hussam789
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    /review
    --pr_reviewer.inline_code_comments=true
    --pr_reviewer.num_code_suggestions="4"
    --pr_reviewer.extra_instructions="
    In the code feedback section, emphasize the following:

    • Does the code logic cover relevant edge cases?
    • Is the code logic clear and easy to understand?
    • Is the code logic efficient?
      "
      --pr_reviewer.require_score_review=true

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    Persistent review updated to latest commit 8a5b01b

    @@ -575,7 +575,7 @@ def clip_tokens(text: str, max_tokens: int, add_three_dots=True) -> str:
    num_output_chars = int(chars_per_token * max_tokens)
    clipped_text = text[:num_output_chars]
    if add_three_dots:
    clipped_text += " ...(truncated)"
    clipped_text += "\n...(truncated)"
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    Consider handling cases where the input text ends with a newline character. Appending "\n...(truncated)" directly might result in two newline characters in a row, which could be unintended. A simple check to see if clipped_text ends with a newline before appending could prevent this. [medium]

    get_logger().exception(f"Failed to calculate PR statistics, error: {e}")
    return {}
    return out
    return {}
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    While simplifying the calc_pr_statistics function to return an empty dictionary is a straightforward approach, consider implementing a minimal placeholder functionality that can be expanded easily. This could maintain the method's utility for future enhancements without leaving it as a stub. [medium]

    @@ -357,6 +357,9 @@ def _can_run_incremental_review(self) -> bool:
    return True

    def set_review_labels(self, data):
    if not get_settings().config.publish_output:
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    Ensure that the condition if not get_settings().config.publish_output: is thoroughly tested in scenarios where publish_output might be dynamically changed. This addition introduces conditional logic that could affect the flow of setting review labels. [important]

    @@ -15,5 +15,5 @@ def test_clip(self):

    max_tokens = 10
    result = clip_tokens(text, max_tokens)
    expected_results = 'line1\nline2\nline3\nli ...(truncated)'
    expected_results = 'line1\nline2\nline3\nli\n...(truncated)'
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    Given the change in clip_tokens to append a newline before the truncation indicator, ensure that all edge cases are covered in the tests, such as clipping at different points in the text and with various lengths of input text. This will help ensure that the new behavior is consistent and reliable. [important]

    @@ -575,7 +575,7 @@ def clip_tokens(text: str, max_tokens: int, add_three_dots=True) -> str:
    num_output_chars = int(chars_per_token * max_tokens)
    clipped_text = text[:num_output_chars]
    if add_three_dots:
    clipped_text += " ...(truncated)"
    clipped_text += "\n...(truncated)"
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    Suggestion: Consider removing the newline character before the truncation message to maintain the consistency of the text output format. [enhancement]

    Suggested change
    clipped_text += "\n...(truncated)"
    clipped_text += " ...(truncated)"

    get_logger().exception(f"Failed to calculate PR statistics, error: {e}")
    return {}
    return out
    return {}
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    Suggestion: Replacing the detailed PR statistics calculation with an empty dictionary removes functionality. Consider implementing a simplified version of the statistics calculation or handling potential exceptions more gracefully to maintain this feature. [bug]

    Suggested change
    return {}
    try:
    # Simplified statistics calculation or proper exception handling
    return {"basic_stat": "value"}
    except Exception as e:
    get_logger().exception(f"Failed to calculate PR statistics, error: {e}")
    return {}

    Comment on lines +360 to +361
    if not get_settings().config.publish_output:
    return
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    Suggestion: Adding a check for publish_output before setting review labels is good for conditional execution. However, consider logging a message when skipping this step for better traceability and debugging. [enhancement]

    Suggested change
    if not get_settings().config.publish_output:
    return
    if not get_settings().config.publish_output:
    get_logger().info("Skipping setting review labels due to publish_output being disabled.")
    return

    @@ -15,5 +15,5 @@ def test_clip(self):

    max_tokens = 10
    result = clip_tokens(text, max_tokens)
    expected_results = 'line1\nline2\nline3\nli ...(truncated)'
    expected_results = 'line1\nline2\nline3\nli\n...(truncated)'
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    Suggestion: The expected result in the test case should match the output format of the clip_tokens function. If the newline before the truncation message is removed, update this test accordingly. [bug]

    Suggested change
    expected_results = 'line1\nline2\nline3\nli\n...(truncated)'
    expected_results = 'line1\nline2\nline3\nli ...(truncated)'

    @@ -575,7 +575,7 @@
    num_output_chars = int(chars_per_token * max_tokens)
    clipped_text = text[:num_output_chars]
    if add_three_dots:
    clipped_text += " ...(truncated)"
    clipped_text += "\n...(truncated)"
    return clipped_text
    except Exception as e:
    get_logger().warning(f"Failed to clip tokens: {e}")
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    Suggestion: When catching a broad exception in the clip_tokens function, consider logging the exception with .exception() instead of .warning() to include the traceback for easier debugging. [best practice]

    Suggested change
    get_logger().warning(f"Failed to clip tokens: {e}")
    get_logger().exception("Failed to clip tokens", exc_info=True)

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