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https://github.com/qodo-ai/pr-agent.git
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keys fallback
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@ -186,9 +186,12 @@ class PRReviewer:
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Prepare the PR review by processing the AI prediction and generating a markdown-formatted text that summarizes
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the feedback.
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"""
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first_key = 'review'
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last_key = 'security_concerns'
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data = load_yaml(self.prediction.strip(),
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keys_fix_yaml=["estimated_effort_to_review_[1-5]:", "security_concerns:", "key_issues_to_review:",
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"relevant_file:", "relevant_line:", "suggestion:"])
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"relevant_file:", "relevant_line:", "suggestion:"],
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first_key=first_key, last_key=last_key)
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github_action_output(data, 'review')
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# move data['review'] 'key_issues_to_review' key to the end of the dictionary
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@ -258,9 +261,12 @@ class PRReviewer:
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if get_settings().pr_reviewer.num_code_suggestions == 0:
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return
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first_key = 'review'
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last_key = 'security_concerns'
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data = load_yaml(self.prediction.strip(),
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keys_fix_yaml=["estimated_effort_to_review_[1-5]:", "security_concerns:", "key_issues_to_review:",
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"relevant_file:", "relevant_line:", "suggestion:"])
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"relevant_file:", "relevant_line:", "suggestion:"],
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first_key=first_key, last_key=last_key)
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comments: List[str] = []
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for suggestion in data.get('code_feedback', []):
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relevant_file = suggestion.get('relevant_file', '').strip()
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