156 lines
4.5 KiB
Python
Executable File
156 lines
4.5 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Finds refactoring opportunities in codebases
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Engine ID: 10.4
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Usage:
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python3 scripts/refactoring_opportunity_finder.py --output proposals/refactoring_opportunity_finder.json
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python3 scripts/refactoring_opportunity_finder.py --output proposals/refactoring_opportunity_finder.json --dry-run
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"""
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import ast
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import argparse
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import json
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import os
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import sys
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from dataclasses import dataclass
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from datetime import datetime, timezone
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from typing import Optional, Tuple
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@dataclass
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class FileMetrics:
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"""Metrics for a single source file."""
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path: str
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lines: int = 0
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complexity: float = 0.0
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max_complexity: int = 0
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functions: int = 0
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classes: int = 0
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churn_30d: int = 0
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churn_90d: int = 0
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test_coverage: Optional[float] = None
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refactoring_score: float = 0.0
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class _ComplexityVisitor(ast.NodeVisitor):
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def __init__(self):
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self.functions = []
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self.classes = 0
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def visit_FunctionDef(self, node):
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complexity = 1
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for child in ast.walk(node):
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if isinstance(child, (ast.If, ast.While, ast.For, ast.ExceptHandler)):
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complexity += 1
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elif isinstance(child, ast.BoolOp):
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complexity += len(child.values) - 1
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elif isinstance(child, ast.comprehension):
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complexity += 1
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for _ in child.ifs:
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complexity += 1
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self.functions.append((node.name, complexity))
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self.generic_visit(node)
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def visit_AsyncFunctionDef(self, node):
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self.visit_FunctionDef(node)
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def visit_ClassDef(self, node):
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self.classes += 1
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self.generic_visit(node)
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def compute_file_complexity(filepath: str) -> Tuple[float, int, int, int, int]:
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"""Compute cyclomatic complexity for a Python file.
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Returns:
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(avg_complexity, max_complexity, function_count, class_count, line_count)
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"""
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try:
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with open(filepath) as f:
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source = f.read()
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tree = ast.parse(source, filename=filepath)
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except (SyntaxError, UnicodeDecodeError, OSError):
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return (0.0, 0, 0, 0, 0)
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visitor = _ComplexityVisitor()
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visitor.visit(tree)
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line_count = len(source.splitlines())
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if not visitor.functions:
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return (0.0, 0, 0, visitor.classes, line_count)
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complexities = [c for _, c in visitor.functions]
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avg = sum(complexities) / len(complexities)
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max_c = max(complexities)
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return (round(avg, 1), max_c, len(visitor.functions), visitor.classes, line_count)
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def calculate_refactoring_score(metrics: FileMetrics) -> float:
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"""Calculate a refactoring priority score (0-100).
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Components: complexity (30), size (20), churn (25), coverage (15), structure (10).
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"""
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score = 0.0
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if metrics.complexity > 0:
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score += min(30, metrics.complexity * 2)
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if metrics.lines > 0:
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score += min(20, metrics.lines / 50)
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churn_score = (metrics.churn_30d * 2) + metrics.churn_90d
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score += min(25, churn_score * 1.5)
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if metrics.test_coverage is not None:
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if metrics.test_coverage < 0.5:
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score += 15 * (1 - metrics.test_coverage)
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else:
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score += 15 * (1 - metrics.test_coverage) * 0.3
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else:
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score += 7.5
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if metrics.functions > 10:
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score += min(10, (metrics.functions - 10) * 0.5)
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return round(min(100, max(0, score)), 1)
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def generate_proposals():
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"""Generate sample proposals for this engine."""
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return [
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{
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"title": "Sample improvement from 10.4",
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"description": "This is a sample improvement proposal",
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"impact": 5,
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"effort": 3,
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"category": "improvement",
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"source_engine": "10.4",
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"timestamp": datetime.now(timezone.utc).isoformat(),
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}
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]
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def main():
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parser = argparse.ArgumentParser(description="Finds refactoring opportunities in codebases")
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parser.add_argument("--output", required=True, help="Output file for proposals")
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parser.add_argument("--dry-run", action="store_true", help="Do not write output file")
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args = parser.parse_args()
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proposals = generate_proposals()
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if not args.dry_run:
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with open(args.output, "w") as f:
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json.dump({"proposals": proposals}, f, indent=2)
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print(f"Generated {len(proposals)} proposals -> {args.output}")
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else:
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print(f"Would generate {len(proposals)} proposals")
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for p in proposals:
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print(f" - {p['title']}")
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if __name__ == "__main__":
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main()
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