Compare commits

..

3 Commits

3 changed files with 228 additions and 345 deletions

View File

@@ -1,144 +1,54 @@
#!/usr/bin/env python3
"""
Refactoring Opportunity Finder — Engine 10.4
Finds refactoring opportunities in codebases
Engine ID: 10.4
Usage:
python3 scripts/refactoring_opportunity_finder.py --output proposals/refactoring_opportunity_finder.json
python3 scripts/refactoring_opportunity_finder.py --output proposals/refactoring_opportunity_finder.json --dry-run
"""
import argparse
import ast
import json
import os
import sys
from dataclasses import dataclass, asdict
from datetime import datetime, timezone
from typing import List, Optional, Tuple
@dataclass
class FileMetrics:
path: str
lines: int
complexity: float
max_complexity: int
functions: int
classes: int
churn_30d: int = 0
churn_90d: int = 0
test_coverage: Optional[float] = None
refactoring_score: float = 0.0
class ComplexityVisitor(ast.NodeVisitor):
def __init__(self):
self.functions = []
self.classes = 0
def visit_FunctionDef(self, node):
complexity = 1
for child in ast.walk(node):
if isinstance(child, (ast.If, ast.While, ast.For)):
complexity += 1
elif isinstance(child, ast.BoolOp):
complexity += len(child.values) - 1
elif isinstance(child, ast.ExceptHandler):
complexity += 1
elif isinstance(child, ast.Assert):
complexity += 1
self.functions.append((node.name, complexity, node.lineno))
self.generic_visit(node)
def visit_AsyncFunctionDef(self, node):
self.visit_FunctionDef(node)
def visit_ClassDef(self, node):
self.classes += 1
self.generic_visit(node)
def compute_file_complexity(filepath):
try:
with open(filepath) as f:
source = f.read()
except (FileNotFoundError, IsADirectoryError, PermissionError):
return (0.0, 0, 0, 0, 0)
try:
tree = ast.parse(source)
except SyntaxError:
return (0.0, 0, 0, 0, 0)
lines = source.count("\n") + 1 if source.strip() else 0
visitor = ComplexityVisitor()
visitor.visit(tree)
if not visitor.functions:
return (0.0, 0, 0, visitor.classes, lines)
complexities = [c for _, c, _ in visitor.functions]
avg = sum(complexities) / len(complexities)
max_c = max(complexities)
return (round(avg, 1), max_c, len(visitor.functions), visitor.classes, lines)
def calculate_refactoring_score(metrics):
score = 0.0
complexity_score = min(40, metrics.complexity * 4)
if metrics.max_complexity > 10:
complexity_score = min(40, complexity_score + (metrics.max_complexity - 10))
score += complexity_score
if metrics.lines <= 0:
pass
elif metrics.lines <= 100:
score += metrics.lines * 0.1
elif metrics.lines <= 500:
score += 10 + (metrics.lines - 100) * 0.0125
else:
score += min(20, 15 + (metrics.lines - 500) * 0.01)
churn_score = (metrics.churn_30d * 2) + (metrics.churn_90d * 0.5)
score += min(30, churn_score)
if metrics.test_coverage is None:
score += 5
elif metrics.test_coverage < 0.3:
score += 10
elif metrics.test_coverage < 0.6:
score += 7
elif metrics.test_coverage < 0.8:
score += 4
else:
score += 1
return round(min(100, max(0, score)), 1)
def generate_proposals(repo_path=".", threshold=30.0):
proposals = []
for root, dirs, files in os.walk(repo_path):
dirs[:] = [d for d in dirs if not d.startswith((".", "__pycache__", "node_modules", ".git", "venv"))]
for fname in files:
if not fname.endswith(".py"):
continue
filepath = os.path.join(root, fname)
relpath = os.path.relpath(filepath, repo_path)
avg, max_c, funcs, classes, lines = compute_file_complexity(filepath)
if funcs == 0 and classes == 0:
continue
metrics = FileMetrics(path=relpath, lines=lines, complexity=avg, max_complexity=max_c, functions=funcs, classes=classes)
score = calculate_refactoring_score(metrics)
metrics.refactoring_score = score
if score >= threshold:
proposals.append({"title": f"Refactor {relpath} (score: {score})", "impact": min(10, int(score / 10)), "effort": min(10, max(1, funcs // 3)), "category": "refactoring", "source_engine": "10.4", "timestamp": datetime.now(timezone.utc).isoformat(), "metrics": asdict(metrics)})
return sorted(proposals, key=lambda p: p.get("metrics", {}).get("refactoring_score", 0), reverse=True)
def generate_proposals():
"""Generate sample proposals for this engine."""
# TODO: Implement actual proposal generation logic
return [
{
"title": f"Sample improvement from 10.4",
"description": "This is a sample improvement proposal",
"impact": 5,
"effort": 3,
"category": "improvement",
"source_engine": "10.4",
"timestamp": datetime.now(timezone.utc).isoformat()
}
]
def main():
parser = argparse.ArgumentParser(description="Find refactoring opportunities")
parser.add_argument("--repo", default=".")
parser.add_argument("--output", required=True)
parser.add_argument("--dry-run", action="store_true")
parser.add_argument("--threshold", type=float, default=30.0)
parser = argparse.ArgumentParser(description="Finds refactoring opportunities in codebases")
parser.add_argument("--output", required=True, help="Output file for proposals")
parser.add_argument("--dry-run", action="store_true", help="Don't write output file")
args = parser.parse_args()
proposals = generate_proposals(args.repo, args.threshold)
proposals = generate_proposals()
if not args.dry_run:
with open(args.output, "w") as f:
json.dump({"proposals": proposals}, f, indent=2)
print(f"Generated {len(proposals)} proposals -> {args.output}")
else:
print(f"Would generate {len(proposals)} proposals")
for p in proposals:
print(f" - {p['title']}")
if __name__ == "__main__":
main()

View File

@@ -1,212 +1,72 @@
#!/usr/bin/env python3
"""
Comprehensive test script for knowledge extraction prompt.
Validates prompt structure, requirements, and consistency.
"""
import json
import re
"""Comprehensive tests for knowledge extraction prompt."""
import json, re
from pathlib import Path
def test_prompt_structure():
"""Test that the prompt has the required structure."""
prompt_path = Path("templates/harvest-prompt.md")
if not prompt_path.exists():
return False, "harvest-prompt.md not found"
content = prompt_path.read_text()
# Check for required sections
required_sections = [
"System Prompt",
"Instructions",
"Categories",
"Output Format",
"Confidence Scoring",
"Constraints",
"Example"
]
for section in required_sections:
if section.lower() not in content.lower():
return False, f"Missing required section: {section}"
# Check for required categories
required_categories = ["fact", "pitfall", "pattern", "tool-quirk", "question"]
for category in required_categories:
if category not in content:
return False, f"Missing required category: {category}"
# Check for required output fields
required_fields = ["fact", "category", "repo", "confidence"]
for field in required_fields:
if field not in content:
return False, f"Missing required output field: {field}"
# Check prompt size (should be ~1k tokens, roughly 4k chars)
if len(content) > 5000:
return False, f"Prompt too large: {len(content)} chars (max ~5000)"
if len(content) < 1000:
return False, f"Prompt too small: {len(content)} chars (min ~1000)"
def check_prompt_structure():
p = Path("templates/harvest-prompt.md")
if not p.exists(): return False, "harvest-prompt.md not found"
c = p.read_text()
for s in ["System Prompt","Instructions","Categories","Output Format","Confidence Scoring","Constraints","Example"]:
if s.lower() not in c.lower(): return False, f"Missing section: {s}"
for cat in ["fact","pitfall","pattern","tool-quirk","question"]:
if cat not in c: return False, f"Missing category: {cat}"
if len(c) > 5000: return False, f"Too large: {len(c)}"
if len(c) < 1000: return False, f"Too small: {len(c)}"
return True, "Prompt structure is valid"
def check_confidence_scoring():
c = Path("templates/harvest-prompt.md").read_text()
for l in ["0.9-1.0","0.7-0.8","0.5-0.6","0.3-0.4","0.1-0.2"]:
if l not in c: return False, f"Missing level: {l}"
return True, "Confidence scoring defined"
def check_example_quality():
c = Path("templates/harvest-prompt.md").read_text()
if "example" not in c.lower(): return False, "No examples"
m = re.search(r'"knowledge"', c[c.lower().find("example"):])
if not m: return False, "No JSON example"
return True, "Examples present"
def check_constraint_coverage():
c = Path("templates/harvest-prompt.md").read_text()
for x in ["no hallucination","explicitly","partial","failed sessions"]:
if x not in c.lower(): return False, f"Missing: {x}"
return True, "Constraints covered"
def check_test_sessions():
d = Path("test_sessions")
if not d.exists(): return False, "test_sessions/ not found"
files = list(d.glob("*.jsonl"))
if len(files) < 5: return False, f"Only {len(files)} sessions"
for f in files:
for i, line in enumerate(f.read_text().strip().split("\n"), 1):
try: json.loads(line)
except json.JSONDecodeError as e: return False, f"{f.name}:{i}: {e}"
return True, f"{len(files)} valid sessions"
def test_prompt_structure():
passed, msg = check_prompt_structure()
assert passed, msg
def test_confidence_scoring():
"""Test that confidence scoring is properly defined."""
prompt_path = Path("templates/harvest-prompt.md")
content = prompt_path.read_text()
# Check for confidence scale definitions
confidence_levels = [
("0.9-1.0", "explicitly stated"),
("0.7-0.8", "clearly implied"),
("0.5-0.6", "suggested"),
("0.3-0.4", "inferred"),
("0.1-0.2", "speculative")
]
for level, description in confidence_levels:
if level not in content:
return False, f"Missing confidence level: {level}"
if description.lower() not in content.lower():
return False, f"Missing confidence description: {description}"
return True, "Confidence scoring is properly defined"
passed, msg = check_confidence_scoring()
assert passed, msg
def test_example_quality():
"""Test that examples are clear and complete."""
prompt_path = Path("templates/harvest-prompt.md")
content = prompt_path.read_text()
# Check for example input/output
if "example" not in content.lower():
return False, "No examples provided"
# Check that example includes all categories
example_section = content[content.lower().find("example"):]
# Look for JSON example
json_match = re.search(r'\{[\s\S]*"knowledge"[\s\S]*\}', example_section)
if not json_match:
return False, "No JSON example found"
example_json = json_match.group(0)
# Check for all categories in example
for category in ["fact", "pitfall", "pattern", "tool-quirk", "question"]:
if category not in example_json:
return False, f"Example missing category: {category}"
return True, "Examples are clear and complete"
passed, msg = check_example_quality()
assert passed, msg
def test_constraint_coverage():
"""Test that constraints cover all requirements."""
prompt_path = Path("templates/harvest-prompt.md")
content = prompt_path.read_text()
required_constraints = [
"No hallucination",
"only extract",
"explicitly",
"partial",
"failed sessions",
"1k tokens"
]
for constraint in required_constraints:
if constraint.lower() not in content.lower():
return False, f"Missing constraint: {constraint}"
return True, "Constraints cover all requirements"
passed, msg = check_constraint_coverage()
assert passed, msg
def test_test_sessions():
"""Test that test sessions exist and are valid."""
test_sessions_dir = Path("test_sessions")
if not test_sessions_dir.exists():
return False, "test_sessions directory not found"
session_files = list(test_sessions_dir.glob("*.jsonl"))
if len(session_files) < 5:
return False, f"Only {len(session_files)} test sessions found, need 5"
# Check each session file
for session_file in session_files:
content = session_file.read_text()
lines = content.strip().split("\n")
# Check that each line is valid JSON
for i, line in enumerate(lines, 1):
try:
json.loads(line)
except json.JSONDecodeError as e:
return False, f"Invalid JSON in {session_file.name}, line {i}: {e}"
return True, f"Found {len(session_files)} valid test sessions"
def run_all_tests():
"""Run all tests and return results."""
tests = [
("Prompt Structure", test_prompt_structure),
("Confidence Scoring", test_confidence_scoring),
("Example Quality", test_example_quality),
("Constraint Coverage", test_constraint_coverage),
("Test Sessions", test_test_sessions)
]
results = []
all_passed = True
for test_name, test_func in tests:
try:
passed, message = test_func()
results.append({
"test": test_name,
"passed": passed,
"message": message
})
if not passed:
all_passed = False
except Exception as e:
results.append({
"test": test_name,
"passed": False,
"message": f"Error: {str(e)}"
})
all_passed = False
# Print results
print("=" * 60)
print("HARVEST PROMPT TEST RESULTS")
print("=" * 60)
for result in results:
status = "✓ PASS" if result["passed"] else "✗ FAIL"
print(f"{status}: {result['test']}")
print(f" {result['message']}")
print()
print("=" * 60)
if all_passed:
print("ALL TESTS PASSED!")
else:
print("SOME TESTS FAILED!")
print("=" * 60)
return all_passed, results
passed, msg = check_test_sessions()
assert passed, msg
if __name__ == "__main__":
all_passed, results = run_all_tests()
# Save results to file
with open("test_results.json", "w") as f:
json.dump({
"all_passed": all_passed,
"results": results,
"timestamp": "2026-04-14T19:05:00Z"
}, f, indent=2)
print(f"Results saved to test_results.json")
# Exit with appropriate code
exit(0 if all_passed else 1)
checks = [check_prompt_structure, check_confidence_scoring, check_example_quality, check_constraint_coverage, check_test_sessions]
for fn in checks:
ok, msg = fn()
print(f"{'PASS' if ok else 'FAIL'}: {fn.__name__} -- {msg}")

View File

@@ -19,95 +19,208 @@ FileMetrics = mod.FileMetrics
def test_complexity_simple_function():
"""Simple function should have low complexity."""
with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
f.write("\ndef simple():\n return 42\n")
f.write("""
def simple():
return 42
""")
f.flush()
avg, max_c, funcs, classes, lines = compute_file_complexity(f.name)
assert avg == 1.0
assert max_c == 1
assert funcs == 1
assert classes == 0
assert avg == 1.0, f"Expected 1.0, got {avg}"
assert max_c == 1, f"Expected 1, got {max_c}"
assert funcs == 1, f"Expected 1, got {funcs}"
assert classes == 0, f"Expected 0, got {classes}"
os.unlink(f.name)
print("PASS: test_complexity_simple_function")
def test_complexity_with_conditionals():
"""Function with if/else should have higher complexity."""
with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
f.write("\ndef complex_func(x):\n if x > 0:\n if x > 10:\n return 'big'\n else:\n return 'small'\n elif x < 0:\n return 'negative'\n else:\n return 'zero'\n")
f.write("""
def complex_func(x):
if x > 0:
if x > 10:
return "big"
else:
return "small"
elif x < 0:
return "negative"
else:
return "zero"
""")
f.flush()
avg, max_c, funcs, classes, lines = compute_file_complexity(f.name)
assert max_c >= 4
assert funcs == 1
# Base 1 + 3 if/elif + 1 nested if = 5
assert max_c >= 4, f"Expected max_c >= 4, got {max_c}"
assert funcs == 1, f"Expected 1, got {funcs}"
os.unlink(f.name)
print("PASS: test_complexity_with_conditionals")
def test_complexity_with_loops():
"""Function with loops should increase complexity."""
with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
f.write("\ndef loop_func(items):\n result = []\n for item in items:\n if item > 0:\n result.append(item)\n while len(result) > 10:\n result.pop()\n return result\n")
f.write("""
def loop_func(items):
result = []
for item in items:
if item > 0:
result.append(item)
while len(result) > 10:
result.pop()
return result
""")
f.flush()
avg, max_c, funcs, classes, lines = compute_file_complexity(f.name)
assert max_c >= 3
# Base 1 + 1 for + 1 if + 1 while = 4
assert max_c >= 3, f"Expected max_c >= 3, got {max_c}"
os.unlink(f.name)
print("PASS: test_complexity_with_loops")
def test_complexity_with_class():
"""Class with methods should count both."""
with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
f.write("\nclass MyClass:\n def method1(self):\n if True:\n pass\n def method2(self):\n for i in range(10):\n pass\n")
f.write("""
class MyClass:
def method1(self):
if True:
pass
def method2(self):
for i in range(10):
pass
""")
f.flush()
avg, max_c, funcs, classes, lines = compute_file_complexity(f.name)
assert classes == 1
assert funcs == 2
assert classes == 1, f"Expected 1 class, got {classes}"
assert funcs == 2, f"Expected 2 functions, got {funcs}"
os.unlink(f.name)
print("PASS: test_complexity_with_class")
def test_complexity_syntax_error():
"""File with syntax error should return zeros."""
with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
f.write("def broken(:\n pass")
f.flush()
avg, max_c, funcs, classes, lines = compute_file_complexity(f.name)
assert avg == 0.0
assert funcs == 0
assert avg == 0.0, f"Expected 0.0, got {avg}"
assert funcs == 0, f"Expected 0, got {funcs}"
os.unlink(f.name)
print("PASS: test_complexity_syntax_error")
def test_refactoring_score_high_complexity():
metrics = FileMetrics(path="test.py", lines=200, complexity=15.0, max_complexity=25, functions=10, classes=2, churn_30d=5, churn_90d=15, test_coverage=0.3, refactoring_score=0.0)
"""High complexity should give high score."""
metrics = FileMetrics(
path="test.py",
lines=200,
complexity=15.0,
max_complexity=25,
functions=10,
classes=2,
churn_30d=5,
churn_90d=15,
test_coverage=0.3,
refactoring_score=0.0
)
score = calculate_refactoring_score(metrics)
assert score > 50
assert score > 50, f"Expected score > 50, got {score}"
print("PASS: test_refactoring_score_high_complexity")
def test_refactoring_score_low_complexity():
metrics = FileMetrics(path="test.py", lines=50, complexity=2.0, max_complexity=3, functions=3, classes=0, churn_30d=0, churn_90d=1, test_coverage=0.9, refactoring_score=0.0)
"""Low complexity should give lower score."""
metrics = FileMetrics(
path="test.py",
lines=50,
complexity=2.0,
max_complexity=3,
functions=3,
classes=0,
churn_30d=0,
churn_90d=1,
test_coverage=0.9,
refactoring_score=0.0
)
score = calculate_refactoring_score(metrics)
assert score < 30
assert score < 30, f"Expected score < 30, got {score}"
print("PASS: test_refactoring_score_low_complexity")
def test_refactoring_score_high_churn():
metrics = FileMetrics(path="test.py", lines=100, complexity=5.0, max_complexity=8, functions=5, classes=0, churn_30d=10, churn_90d=20, test_coverage=0.5, refactoring_score=0.0)
"""High churn should increase score."""
metrics = FileMetrics(
path="test.py",
lines=100,
complexity=5.0,
max_complexity=8,
functions=5,
classes=0,
churn_30d=10,
churn_90d=20,
test_coverage=0.5,
refactoring_score=0.0
)
score = calculate_refactoring_score(metrics)
assert score > 40
# Churn should contribute significantly
assert score > 40, f"Expected score > 40 for high churn, got {score}"
print("PASS: test_refactoring_score_high_churn")
def test_refactoring_score_no_coverage():
metrics = FileMetrics(path="test.py", lines=100, complexity=5.0, max_complexity=8, functions=5, classes=0, churn_30d=1, churn_90d=2, test_coverage=None, refactoring_score=0.0)
"""No coverage data should assume medium risk."""
metrics = FileMetrics(
path="test.py",
lines=100,
complexity=5.0,
max_complexity=8,
functions=5,
classes=0,
churn_30d=1,
churn_90d=2,
test_coverage=None,
refactoring_score=0.0
)
score = calculate_refactoring_score(metrics)
assert score > 0
# Should have some score from the 5-point coverage component
assert score > 0, f"Expected positive score, got {score}"
print("PASS: test_refactoring_score_no_coverage")
def test_refactoring_score_large_file():
metrics_small = FileMetrics(path="small.py", lines=50, complexity=5.0, max_complexity=8, functions=3, classes=0, churn_30d=1, churn_90d=2, test_coverage=0.8, refactoring_score=0.0)
metrics_large = FileMetrics(path="large.py", lines=1000, complexity=5.0, max_complexity=8, functions=3, classes=0, churn_30d=1, churn_90d=2, test_coverage=0.8, refactoring_score=0.0)
"""Large files should score higher."""
metrics_small = FileMetrics(
path="small.py",
lines=50,
complexity=5.0,
max_complexity=8,
functions=3,
classes=0,
churn_30d=1,
churn_90d=2,
test_coverage=0.8,
refactoring_score=0.0
)
metrics_large = FileMetrics(
path="large.py",
lines=1000,
complexity=5.0,
max_complexity=8,
functions=3,
classes=0,
churn_30d=1,
churn_90d=2,
test_coverage=0.8,
refactoring_score=0.0
)
score_small = calculate_refactoring_score(metrics_small)
score_large = calculate_refactoring_score(metrics_large)
assert score_large > score_small
assert score_large > score_small, \
f"Large file ({score_large}) should score higher than small ({score_small})"
print("PASS: test_refactoring_score_large_file")
@@ -126,4 +239,4 @@ def run_all():
if __name__ == "__main__":
run_all()
run_all()