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Refine field descriptions in pr_code_suggestions_prompts.toml and comment out default scoring error log in pr_code_suggestions.py
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@ -59,8 +59,8 @@ class CodeSuggestion(BaseModel):
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relevant_file: str = Field(description="the relevant file full path")
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language: str = Field(description="the code language of the relevant file")
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suggestion_content: str = Field(description="an actionable suggestion for meaningfully improving the new code introduced in the PR")
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existing_code: str = Field(description="a short code snippet from a '__new hunk__' section to illustrate the relevant existing code. Don't show the line numbers.")
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improved_code: str = Field(description="a short code snippet to illustrate the improved code, after applying the suggestion.")
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existing_code: str = Field(description="a short code snippet, demonstrating the relevant code lines from a '__new hunk__' section. It must without line numbers. Use abbreviations if needed")
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improved_code: str = Field(description="a new code snippet, that can be used to replace the relevant 'existing_code' lines in '__new hunk__' code after applying the suggestion")
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one_sentence_summary:str = Field(description="a short summary of the suggestion action, in a single sentence. Focus on the 'what'. Be general, and avoid method or variable names.")
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relevant_lines_start: int = Field(description="The relevant line number, from a '__new hunk__' section, where the suggestion starts (inclusive). Should be derived from the hunk line numbers, and correspond to the 'existing code' snippet above")
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relevant_lines_end: int = Field(description="The relevant line number, from a '__new hunk__' section, where the suggestion ends (inclusive). Should be derived from the hunk line numbers, and correspond to the 'existing code' snippet above")
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@ -196,7 +196,7 @@ class PRCodeSuggestions:
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suggestion["score"] = 7
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suggestion["score_why"] = ""
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else:
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get_logger().error(f"Could not self-reflect on suggestions. using default score 7")
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# get_logger().error(f"Could not self-reflect on suggestions. using default score 7")
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for i, suggestion in enumerate(data["code_suggestions"]):
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suggestion["score"] = 7
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suggestion["score_why"] = ""
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