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Author SHA1 Message Date
Alexander Whitestone
9668034ad6 feat: Add refactoring opportunity finder (#169)
Cross-references complexity, churn, and coverage to identify refactoring targets.

Acceptance criteria met:
- Cross-references: complexity x churn x coverage
- Identifies: refactor targets with priority scoring
- Output: prioritized refactor list (JSON or human-readable)
- Designed for monthly execution via cron

Scoring formula:
- Complexity (40%): Higher cyclomatic complexity = higher priority
- Churn (30%): Frequently changed files = high value to refactor
- Size (20%): Larger files = more to refactor
- Coverage (10%): Low coverage = higher risk but more need

Usage:
  python3 scripts/refactoring_opportunity_finder.py --repo /path/to/repo
  python3 scripts/refactoring_opportunity_finder.py --repo /path/to/repo --json

Closes #169
2026-04-15 10:54:58 -04:00
e6f1b07f16 Merge pull request 'feat: Knowledge store staleness detector (closes #179)' (#185) from feat/179-staleness-check into main 2026-04-15 06:09:14 +00:00
81c02f6709 feat: Add staleness detector tests (closes #179) 2026-04-15 04:00:46 +00:00
c2c3c6a3b9 feat: Add knowledge staleness detector (closes #179) 2026-04-15 04:00:12 +00:00
4 changed files with 556 additions and 0 deletions

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#!/usr/bin/env python3
"""
Knowledge Store Staleness Detector — Detect stale knowledge entries by comparing source file hashes.
Usage:
python3 scripts/knowledge_staleness_check.py --index knowledge/index.json
python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --json
python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --fix
"""
import argparse
import hashlib
import json
import os
import sys
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Any, Optional
def compute_file_hash(filepath: str) -> Optional[str]:
"""Compute SHA-256 hash of a file. Returns None if file doesn't exist."""
try:
with open(filepath, "rb") as f:
return "sha256:" + hashlib.sha256(f.read()).hexdigest()
except (FileNotFoundError, IsADirectoryError, PermissionError):
return None
def check_staleness(index_path: str, repo_root: str = ".") -> List[Dict[str, Any]]:
"""Check all entries in knowledge index for staleness.
Returns list of entries with staleness info:
- status: "fresh" | "stale" | "missing_source" | "no_hash"
- current_hash: computed hash (if source exists)
- stored_hash: hash from index
"""
with open(index_path) as f:
data = json.load(f)
facts = data.get("facts", [])
results = []
for entry in facts:
source_file = entry.get("source_file")
stored_hash = entry.get("source_hash")
if not source_file:
results.append({**entry, "status": "no_source", "current_hash": None})
continue
full_path = os.path.join(repo_root, source_file)
current_hash = compute_file_hash(full_path)
if current_hash is None:
results.append({**entry, "status": "missing_source", "current_hash": None})
elif not stored_hash:
results.append({**entry, "status": "no_hash", "current_hash": current_hash})
elif current_hash != stored_hash:
results.append({**entry, "status": "stale", "current_hash": current_hash})
else:
results.append({**entry, "status": "fresh", "current_hash": current_hash})
return results
def fix_hashes(index_path: str, repo_root: str = ".") -> int:
"""Add hashes to entries missing them. Returns count of fixed entries."""
with open(index_path) as f:
data = json.load(f)
fixed = 0
for entry in data.get("facts", []):
if entry.get("source_hash"):
continue
source_file = entry.get("source_file")
if not source_file:
continue
full_path = os.path.join(repo_root, source_file)
h = compute_file_hash(full_path)
if h:
entry["source_hash"] = h
fixed += 1
with open(index_path, "w") as f:
json.dump(data, f, indent=2)
return fixed
def main():
parser = argparse.ArgumentParser(description="Check knowledge store staleness")
parser.add_argument("--index", required=True, help="Path to knowledge/index.json")
parser.add_argument("--repo", default=".", help="Repo root for source file resolution")
parser.add_argument("--json", action="store_true", help="Output as JSON")
parser.add_argument("--fix", action="store_true", help="Add hashes to entries missing them")
args = parser.parse_args()
if args.fix:
fixed = fix_hashes(args.index, args.repo)
print(f"Fixed {fixed} entries with missing hashes.")
return
results = check_staleness(args.index, args.repo)
if args.json:
print(json.dumps(results, indent=2))
else:
stale = [r for r in results if r["status"] != "fresh"]
fresh = [r for r in results if r["status"] == "fresh"]
print(f"Knowledge Store Staleness Check")
print(f" Total entries: {len(results)}")
print(f" Fresh: {len(fresh)}")
print(f" Stale/Issues: {len(stale)}")
print()
if stale:
print("Issues found:")
for r in stale:
status = r["status"]
fact = r.get("fact", "?")[:60]
source = r.get("source_file", "?")
print(f" [{status}] {source}: {fact}")
else:
print("All entries are fresh!")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
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 json
import sys
from datetime import datetime, timezone
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="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()
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()

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#!/usr/bin/env python3
"""Tests for scripts/knowledge_staleness_check.py — 8 tests."""
import json
import os
import sys
import tempfile
sys.path.insert(0, os.path.dirname(__file__) or ".")
import importlib.util
spec = importlib.util.spec_from_file_location("ks", os.path.join(os.path.dirname(__file__) or ".", "knowledge_staleness_check.py"))
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
check_staleness = mod.check_staleness
fix_hashes = mod.fix_hashes
compute_file_hash = mod.compute_file_hash
def test_fresh_entry():
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
f.write("print('hello')")
h = compute_file_hash(src)
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "hello", "source_file": "source.py", "source_hash": h}]}, f)
results = check_staleness(idx, tmpdir)
assert results[0]["status"] == "fresh"
print("PASS: test_fresh_entry")
def test_stale_entry():
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
f.write("original content")
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "old", "source_file": "source.py", "source_hash": "sha256:wrong"}]}, f)
# Now change the source
with open(src, "w") as f:
f.write("modified content")
results = check_staleness(idx, tmpdir)
assert results[0]["status"] == "stale"
print("PASS: test_stale_entry")
def test_missing_source():
with tempfile.TemporaryDirectory() as tmpdir:
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "gone", "source_file": "nonexistent.py", "source_hash": "sha256:abc"}]}, f)
results = check_staleness(idx, tmpdir)
assert results[0]["status"] == "missing_source"
print("PASS: test_missing_source")
def test_no_hash():
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
f.write("content")
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "no hash", "source_file": "source.py"}]}, f)
results = check_staleness(idx, tmpdir)
assert results[0]["status"] == "no_hash"
assert results[0]["current_hash"].startswith("sha256:")
print("PASS: test_no_hash")
def test_no_source_field():
with tempfile.TemporaryDirectory() as tmpdir:
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "orphan"}]}, f)
results = check_staleness(idx, tmpdir)
assert results[0]["status"] == "no_source"
print("PASS: test_no_source_field")
def test_fix_hashes():
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
f.write("content for hashing")
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "needs hash", "source_file": "source.py"}]}, f)
fixed = fix_hashes(idx, tmpdir)
assert fixed == 1
# Verify hash was added
with open(idx) as f:
data = json.load(f)
assert data["facts"][0]["source_hash"].startswith("sha256:")
print("PASS: test_fix_hashes")
def test_empty_index():
with tempfile.TemporaryDirectory() as tmpdir:
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": []}, f)
results = check_staleness(idx, tmpdir)
assert results == []
print("PASS: test_empty_index")
def test_compute_hash_nonexistent():
h = compute_file_hash("/nonexistent/path/file.py")
assert h is None
print("PASS: test_compute_hash_nonexistent")
def run_all():
test_fresh_entry()
test_stale_entry()
test_missing_source()
test_no_hash()
test_no_source_field()
test_fix_hashes()
test_empty_index()
test_compute_hash_nonexistent()
print("\nAll 8 tests passed!")
if __name__ == "__main__":
run_all()

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#!/usr/bin/env python3
"""Tests for scripts/refactoring_opportunity_finder.py — 10 tests."""
import json
import os
import sys
import tempfile
sys.path.insert(0, os.path.dirname(__file__) or ".")
import importlib.util
spec = importlib.util.spec_from_file_location(
"rof", os.path.join(os.path.dirname(__file__) or ".", "refactoring_opportunity_finder.py"))
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
compute_file_complexity = mod.compute_file_complexity
calculate_refactoring_score = mod.calculate_refactoring_score
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("""
def simple():
return 42
""")
f.flush()
avg, max_c, funcs, classes, lines = compute_file_complexity(f.name)
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("""
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)
# 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("""
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)
# 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("""
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, 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, 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():
"""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, f"Expected score > 50, got {score}"
print("PASS: test_refactoring_score_high_complexity")
def test_refactoring_score_low_complexity():
"""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, f"Expected score < 30, got {score}"
print("PASS: test_refactoring_score_low_complexity")
def test_refactoring_score_high_churn():
"""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)
# 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():
"""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)
# 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():
"""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, \
f"Large file ({score_large}) should score higher than small ({score_small})"
print("PASS: test_refactoring_score_large_file")
def run_all():
test_complexity_simple_function()
test_complexity_with_conditionals()
test_complexity_with_loops()
test_complexity_with_class()
test_complexity_syntax_error()
test_refactoring_score_high_complexity()
test_refactoring_score_low_complexity()
test_refactoring_score_high_churn()
test_refactoring_score_no_coverage()
test_refactoring_score_large_file()
print("\nAll 10 tests passed!")
if __name__ == "__main__":
run_all()