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sourcery-ai-experiments-bot

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I'd rather have Opus but Apple are knuckheads
@sourcery-ai-experiments-bot
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This is a benchmark review for experiment review_of_reviews_20240423.
Run ID: review_of_reviews_20240423/benchmark_2024-04-23T16-37-59_v1-16-0-177-gfebff3a45.

This pull request was cloned from https://github.com/jquagga/ttt/pull/73. (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_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
      security_model: benchmark
      tests_model: benchmark

# The pull request dataset to run the experiment on
pull_request_dataset:
- https://github.com/albumentations-team/albumentations/pull/1679
- https://github.com/gdsfactory/kfactory/pull/301
- https://github.com/gdsfactory/kfactory/pull/300
- https://github.com/jquagga/ttt/pull/70
- https://github.com/gdsfactory/kfactory/pull/298
- https://github.com/gdsfactory/gplugins/pull/385
- https://github.com/shreejitverma/MScFE690-Capstone/pull/7
- https://github.com/gdsfactory/gdsfactory/pull/2694
- https://github.com/yelinaung/advent_of_code_2023/pull/8
- https://github.com/fairdataihub/fairdataihub.org/pull/620
- https://github.com/jquagga/ttt/pull/75
- https://github.com/jquagga/ttt/pull/77
- https://github.com/aboutmydreams/aiis.read/pull/16
- https://github.com/usama-maxenius/image-editor/pull/71
- https://github.com/okisdev/ChatChat/pull/322
- https://github.com/okisdev/ChatChat/pull/323
- https://github.com/iphysresearch/Eryn/pull/1
- https://github.com/W-zrd/unishare_mobile/pull/9
- https://github.com/wassupluke/recipe-emailer/pull/24
- https://github.com/jquagga/ttt/pull/79
- https://github.com/Remi-Gau/nilearn/pull/50
- https://github.com/gdsfactory/gdsfactory/pull/2697
- https://github.com/0ussamaBernou/my-portfolio/pull/8
- https://github.com/kloudlite/web/pull/195
- https://github.com/ElectronicBabylonianLiterature/ebl-api/pull/546
- https://github.com/okisdev/ChatChat/pull/319
- https://github.com/strawberry-graphql/strawberry/pull/3469
- https://github.com/ShiroePL/EasternTalesShelf/pull/44
- https://github.com/jquagga/ttt/pull/78
- https://github.com/W-zrd/unishare_mobile/pull/10
- https://github.com/erxes/erxes/pull/5157
- https://github.com/jquagga/ttt/pull/67
- https://github.com/jquagga/ttt/pull/76
- https://github.com/jkool702/openwrt/pull/41
- https://github.com/jquagga/ttt/pull/73
- https://github.com/W-zrd/unishare_mobile/pull/8
- https://github.com/UCL/dxss/pull/63
- https://github.com/shreejitverma/MScFE690-Capstone/pull/6
- https://github.com/DevCycleHQ/go-server-sdk/pull/248
- https://github.com/Quarticai/graphene-django-extras/pull/104
- https://github.com/wassupluke/recipe-emailer/pull/29
- https://github.com/erxes/erxes/pull/5158
- https://github.com/0ussamaBernou/my-portfolio/pull/6
- https://github.com/2lambda123/kwenta/pull/50
- https://github.com/dciborow/action-pylint/pull/14
- https://github.com/ShiroePL/EasternTalesShelf/pull/45
- https://github.com/W-zrd/unishare_mobile/pull/6
- https://github.com/gdsfactory/gdsfactory/pull/2696
- https://github.com/megasanjay/scholar-stack-mvp/pull/159
- https://github.com/W-zrd/unishare_mobile/pull/7
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: Should this comment become 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: 2 issues found
  • 🟢 Security: all looks good
  • 🟢 Testing: all looks good
  • 🟢 Complexity: all looks good
  • 🟢 Docstrings: all looks good

LangSmith trace

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

@@ -224,7 +224,7 @@ def audio_notification(audiofile, apobj, body, title):
Examples:
audio_notification(audiofile, apobj, body, title)
"""
opusfile = Path(audiofile).with_suffix(".opus")
flacfile = Path(audiofile).with_suffix(".flac")

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suggestion (edge_case_not_handled): Consider verifying the existence of the audio file before conversion.

Adding a check to ensure the audio file exists before attempting to convert it can prevent runtime errors if the file is missing.

Suggested change
flacfile = Path(audiofile).with_suffix(".flac")
from pathlib import Path
audiofile = "example_audio"
flacfile = Path(audiofile).with_suffix(".flac")
if flacfile.exists():
# Proceed with the existing code to handle the file
pass
else:
print(f"Error: The file {flacfile} does not exist.")

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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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Should this comment become an LLM test?

# Remove opusfile; audiofile and json unlinked later
Path.unlink(opusfile)
# Remove flacfile; audiofile and json unlinked later
Path.unlink(flacfile)

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suggestion (edge_case_not_handled): Consider handling potential exceptions when unlinking the file.

Using a try-except block around the file deletion could prevent unhandled exceptions if the file does not exist or is locked, enhancing the robustness of the function.

Suggested change
Path.unlink(flacfile)
try:
Path.unlink(flacfile)
except FileNotFoundError:
pass

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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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Should this comment become an LLM test?

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3 participants