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Type

enhancement


Description

  • Added functionality to check for changes in the source of integrations and patches, enhancing the build trigger process.
  • Implemented a new method in GitHubManager to fetch the last version source, supporting the new build trigger checks.
  • Updated the should_trigger_build method in ReleaseManager to consider source changes, improving the accuracy of build triggers.
  • Introduced new utility keys to manage resource download links and dumps, facilitating better resource management.

Changes walkthrough

Relevant files
Enhancement
check_resource_updates.py
Enhance build trigger checks with source versioning           

check_resource_updates.py

  • Added checks for changes in the source of integrations and patches.
  • Modified the condition to trigger a build based on source changes.
  • Improved the logging of the reasons for triggering a new build.
  • +8/-2     
    github.py
    Add GitHub source version fetching method                               

    src/manager/github.py

  • Added a new method to fetch the last version source from GitHub.
  • Utilized new utility keys for fetching data.
  • +13/-1   
    release_manager.py
    Update build trigger logic to include source comparison   

    src/manager/release_manager.py

  • Enhanced the build trigger function to include source comparison.
  • Added logging for source changes that trigger builds.
  • +4/-1     
    utils.py
    Introduce new utility keys for resource management             

    src/utils.py

    • Added new keys for download links and app dumps.
    +3/-0     

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

    @sourcery-ai-experiments-bot
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    Author

    This is a benchmark review for experiment review_of_reviews_20240429.
    Run ID: review_of_reviews_20240429/benchmark_2024-04-29T00-16-47_v1-16-0-197-ga56ee2c92.

    This pull request was cloned from https://github.com/nikhilbadyal/docker-py-revanced/pull/512. (Note: the URL is not a link to avoid triggering a notification on the original pull request.)

    Experiment configuration
    review_config:
      # User configuration for the review
      # - benchmark - use the user config from the benchmark reviews
      # - <value> - use the value directly
      user_config:
        enable_ai_review: true
        enable_rule_comments: false
    
        enable_complexity_comments: benchmark
        enable_docstring_comments: benchmark
        enable_security_comments: benchmark
        enable_tests_comments: benchmark
        enable_comment_suggestions: benchmark
        enable_functionality_review: benchmark
    
        enable_approvals: true
    
      ai_review_config:
        # The model responses to use for the experiment
        # - benchmark - use the model responses from the benchmark reviews
        # - llm - call the language model to generate responses
        model_responses:
          comments_model: benchmark
          comment_validation_model: benchmark
          comment_suggestion_model: benchmark
          complexity_model: benchmark
          docstrings_model: benchmark
          functionality_model: benchmark
          security_model: benchmark
          tests_model: benchmark
    
    # The pull request dataset to run the experiment on
    pull_request_dataset:
    - https://github.com/Bilbottom/sql-problems/pull/1
    - https://github.com/Bilbottom/sql-learning-materials/pull/13
    - https://github.com/Bilbottom/python-template/pull/3
    - https://github.com/Bilbottom/sql-problems/pull/2
    - https://github.com/gdsfactory/kfactory/pull/304
    - https://github.com/mslepko/wc-daily-logs-emailer/pull/2
    - https://github.com/mslepko/wc-daily-logs-emailer/pull/3
    - https://github.com/jquagga/ttt/pull/94
    - https://github.com/mslepko/wc-daily-logs-emailer/pull/5
    - https://github.com/rbanffy/pip-chill/pull/75
    - https://github.com/yaitoo/sqle/pull/45
    - https://github.com/Catrofe/AvaliationSystemECommerce/pull/5
    - https://github.com/Catrofe/AvaliationSystemECommerce/pull/6
    - https://github.com/ultralytics/JSON2YOLO/pull/87
    - https://github.com/ultralytics/flickr_scraper/pull/24
    - https://github.com/nikhilbadyal/docker-py-revanced/pull/512
    - https://github.com/MusicalNinjaDad/FizzBuzz/pull/10
    - https://github.com/petermcd/monzo-api/pull/71
    - https://github.com/christian80gabi/RecycleAI/pull/3
    - https://github.com/christian80gabi/RecycleAI/pull/4
    - https://github.com/nbhirud/system_update/pull/22
    - https://github.com/nbhirud/system_update/pull/23
    - https://github.com/agatma/sprint1-http-server/pull/1
    - https://github.com/mraniki/cefi/pull/464
    - https://github.com/Idrinth/api-bench/pull/915
    - https://github.com/Idrinth/api-bench/pull/921
    - https://github.com/dashmug/glue-utils/pull/28
    - https://github.com/Idrinth/api-bench/pull/917
    - https://github.com/sett-and-hive/sarif-to-comment-action/pull/286
    - https://github.com/uncscode/particula/pull/445
    review_comment_labels:
    - label: correct
      question: Is this comment correct?
    - label: helpful
      question: Is this comment helpful?
    - label: comment-type
      question: Is the comment type correct?
    - label: comment-area
      question: Is the comment area correct?
    - label: llm-test
      question: |
        What type of LLM test could this comment become?
        - 👍 - this comment is really good/important and we should always make it
        - 👎 - this comment is really bad and we should never make it
        - no reaction - don't turn this comment into an LLM test
    
    # Benchmark reviews generated by running
    #   python -m scripts.experiment benchmark <experiment_name>
    benchmark_reviews: []
    

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    Hey @sourcery-ai-experiments-bot - I've reviewed your changes and they look great!

    Here's what I looked at during the review
    • 🟡 General issues: 4 issues found
    • 🟢 Security: all looks good
    • 🟡 Testing: 2 issues found
    • 🟢 Complexity: all looks good

    LangSmith trace

    Help me be more useful! Please click 👍 or 👎 on each comment to tell me if it was helpful.

    Comment on lines +38 to +47
    def get_last_version_source(self: Self, app: APP, resource_name: str) -> str:
    """Get last patched version."""
    if os.getenv("DRY_RUN", default=None):
    with Path(updates_file).open() as url:
    data = json.load(url)
    else:
    with urllib.request.urlopen(self.update_file_url) as url:
    data = json.load(url)
    if data.get(app.app_name):
    return str(data[app.app_name][app_dump_key][resource_name])

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    suggestion (code_refinement): Consider handling exceptions for JSON operations.

    Loading JSON data can fail due to malformed data or I/O issues. It's advisable to wrap the json.load calls in a try-except block to handle potential exceptions and maintain robustness.

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    Is this comment correct?

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    Is this comment helpful?

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    Is the comment type correct?

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    Is the comment area correct?

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    What type of LLM test could this comment become?

    • 👍 - this comment is really good/important and we should always make it
    • 👎 - this comment is really bad and we should never make it
    • no reaction - don't turn this comment into an LLM test

    Comment on lines +18 to +22
    def should_trigger_build(self: Self, old_version: str, old_source: str, new_version: str, new_source: str) -> bool:
    """Function to check if we should trigger a build."""
    if old_source != new_source:
    logger.info(f"Trigger build because old source {old_source}, is different from new source {new_source}")
    return True

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    suggestion (code_refinement): Refactor 'should_trigger_build' to reduce complexity.

    The method now handles multiple conditions and logging, which increases its complexity. Consider breaking down the functionality into smaller, more manageable methods.

    Suggested change
    def should_trigger_build(self: Self, old_version: str, old_source: str, new_version: str, new_source: str) -> bool:
    """Function to check if we should trigger a build."""
    if old_source != new_source:
    logger.info(f"Trigger build because old source {old_source}, is different from new source {new_source}")
    return True
    def should_trigger_build(self: Self, old_version: str, old_source: str, new_version: str, new_source: str) -> bool:
    """Function to check if we should trigger a build."""
    if self._is_source_changed(old_source, new_source):
    return True
    def _is_source_changed(self, old_source: str, new_source: str) -> bool:
    if old_source != new_source:
    logger.info(f"Trigger build because old source {old_source}, is different from new source {new_source}")
    return True
    return False

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    Is this comment correct?

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    Is this comment helpful?

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    Is the comment type correct?

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    Is the comment area correct?

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    What type of LLM test could this comment become?

    • 👍 - this comment is really good/important and we should always make it
    • 👎 - this comment is really bad and we should never make it
    • no reaction - don't turn this comment into an LLM test

    Comment on lines +22 to +24
    old_integration_source = GitHubManager(env).get_last_version_source(app_obj, integrations_dl_key)
    old_patches_version = GitHubManager(env).get_last_version(app_obj, patches_version_key)
    old_patches_source = GitHubManager(env).get_last_version_source(app_obj, patches_dl_key)

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    suggestion (testing): Missing test cases for new source comparison logic in build triggers.

    The changes include new logic to compare sources for integrations and patches to decide on triggering builds. It's crucial to add tests that verify this new functionality works as expected and handles edge cases, such as when sources are identical or when one is null.

    Suggested change
    old_integration_source = GitHubManager(env).get_last_version_source(app_obj, integrations_dl_key)
    old_patches_version = GitHubManager(env).get_last_version(app_obj, patches_version_key)
    old_patches_source = GitHubManager(env).get_last_version_source(app_obj, patches_dl_key)
    github_manager = GitHubManager(env)
    old_integration_source = github_manager.get_last_version_source(app_obj, integrations_dl_key)
    old_patches_version = github_manager.get_last_version(app_obj, patches_version_key)
    old_patches_source = github_manager.get_last_version_source(app_obj, patches_dl_key)

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    Is this comment correct?

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    Is the comment area correct?

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    What type of LLM test could this comment become?

    • 👍 - this comment is really good/important and we should always make it
    • 👎 - this comment is really bad and we should never make it
    • no reaction - don't turn this comment into an LLM test

    Comment on lines +18 to +22
    def should_trigger_build(self: Self, old_version: str, old_source: str, new_version: str, new_source: str) -> bool:
    """Function to check if we should trigger a build."""
    if old_source != new_source:
    logger.info(f"Trigger build because old source {old_source}, is different from new source {new_source}")
    return True

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    suggestion (testing): Consider adding tests for the updated should_trigger_build method.

    This method now includes additional parameters and logic for source comparison. Ensure there are tests that cover various scenarios, including cases where versions are the same but sources differ, and vice versa.

    Suggested change
    def should_trigger_build(self: Self, old_version: str, old_source: str, new_version: str, new_source: str) -> bool:
    """Function to check if we should trigger a build."""
    if old_source != new_source:
    logger.info(f"Trigger build because old source {old_source}, is different from new source {new_source}")
    return True
    def should_trigger_build(self: Self, old_version: str, old_source: str, new_version: str, new_source: str) -> bool:
    """Function to check if we should trigger a build."""
    if old_source != new_source:
    logger.info(f"Trigger build because old source {old_source} is different from new source {new_source}")
    return True

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    Is this comment correct?

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    Is the comment type correct?

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    Is the comment area correct?

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    What type of LLM test could this comment become?

    • 👍 - this comment is really good/important and we should always make it
    • 👎 - this comment is really bad and we should never make it
    • no reaction - don't turn this comment into an LLM test

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