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Author SHA1 Message Date
Alexander Payne
899c4bee1e 5.6: Add dependency bloat detector
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Test / pytest (pull_request) Failing after 8s
Scans all .py files for import statements, compares against
requirements.txt, and reports unused declared packages.

Acceptance:
- Lists all imports in code
- Compares against declared deps
- Reports: unused deps
- Output: bloat report

Refs #112
2026-04-26 00:50:36 -04:00
2 changed files with 112 additions and 477 deletions

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#!/usr/bin/env python3
"""
Dependency Bloat Detector — find declared packages never imported
Usage:
python3 scripts/dependency_bloat_detector.py
python3 scripts/dependency_bloat_detector.py --output json
"""
import ast
import json
import re
import sys
from pathlib import Path
from typing import Set, List, Tuple
def extract_imports_from_py_files(repo_path: Path) -> Set[str]:
"""Walk the repo and return the set of top-level imported module names."""
imports = set()
exclude_dirs = {".git", "venv", ".venv", "__pycache__", "node_modules",
"dist", "build", ".tox", "vendor"}
py_files = [
f for f in repo_path.rglob("*.py")
if not any(part in exclude_dirs for part in f.parts)
]
for fpath in py_files:
try:
content = fpath.read_text(errors="ignore")
tree = ast.parse(content)
except Exception:
continue
for node in ast.walk(tree):
if isinstance(node, ast.Import):
for alias in node.names:
top = alias.name.split('.')[0]
imports.add(top)
elif isinstance(node, ast.ImportFrom):
if node.module:
top = node.module.split('.')[0]
imports.add(top)
return imports
def parse_requirements_txt(req_path: Path) -> List[Tuple[str, str]]:
"""
Parse requirements.txt and return list of (package_name, raw_line).
Strips version specifiers and ignores comments.
"""
if not req_path.exists():
return []
declared = []
for line in req_path.read_text().splitlines():
line = line.strip()
if not line or line.startswith('#'):
continue
# Strip inline comments
line = line.split('#')[0].strip()
# Extract package name (before any version specifier)
pkg_match = re.match(r'^([a-zA-Z0-9_-]+)', line)
if pkg_match:
pkg = pkg_match.group(1).strip()
declared.append((pkg, line))
return declared
def main():
repo_path = Path('.').resolve()
req_path = repo_path / 'requirements.txt'
# 1. Scan imports
used = extract_imports_from_py_files(repo_path)
# 2. Parse declared deps
declared = parse_requirements_txt(req_path)
declared_names = [pkg for pkg, _ in declared]
# 3. Compare
unused = [(raw, pkg) for pkg, raw in declared if pkg not in used]
missing_from_req = [imp for imp in used if imp not in declared_names]
# 4. Output
print("=" * 60)
print(" DEPENDENCY BLOAT DETECTOR")
print("=" * 60)
print(f" Repository: {repo_path.name}")
print(f" Requirements: {req_path}")
print(f" Python files: {len(list(repo_path.rglob('*.py')))}")
print()
print(f" Declared packages ({len(declared_names)}): {declared_names}")
print(f" Imported packages ({len(used)}): {sorted(used)}")
print()
if unused:
print(" UNUSED DEPENDENCIES (bloat):")
for raw, pkg in unused:
print(f"{raw}")
else:
print(" No unused dependencies detected.")
print()
if missing_from_req:
print(" UNDECLARED IMPORTS (used but not in requirements.txt):")
for imp in missing_from_req:
print(f" ! {imp}")
print()
print("=" * 60)
# Exit code: 0 if no bloat, 1 if unused deps found
sys.exit(1 if unused else 0)
if __name__ == "__main__":
main()

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@@ -1,477 +0,0 @@
#!/usr/bin/env python3
"""
Progress Tracker — Pipeline 10.8
Track improvement metrics over time. Are we getting better?
Metrics tracked:
1. Test coverage — % of Python functions with associated tests (test:source file ratio + line coverage if available)
2. Doc coverage — % of Python callables with docstrings (AST-based)
3. Issue close rate — closed / (opened + closed) per week (Gitea API)
4. Dep freshness — % of requirements pinned vs outdated (pip list --outdated)
Output:
- metrics/snapshots/YYYY-MM-DD.json — one snapshot per run
- metrics/TRENDS.md — cumulative markdown table
- stdout summary
Usage:
python3 scripts/progress_tracker.py
python3 scripts/progress_tracker.py --json
python3 scripts/progress_tracker.py --output metrics/TRENDS.md
Weekly cron:
0 9 * * 1 cd /path/to/compounding-intelligence && python3 scripts/progress_tracker.py
"""
import argparse
import json
import os
import re
import subprocess
import sys
from collections import defaultdict
from datetime import datetime, timezone, timedelta
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
# ── Configuration ──────────────────────────────────────────────────────────
SCRIPT_DIR = Path(__file__).resolve().parent
REPO_ROOT = SCRIPT_DIR.parent
METRICS_DIR = REPO_ROOT / "metrics"
SNAPSHOTS_DIR = METRICS_DIR / "snapshots"
TOKEN_PATH = Path.home() / ".config" / "gitea" / "token"
GITEA_API_BASE = "https://forge.alexanderwhitestone.com/api/v1"
ORG = "Timmy_Foundation"
# Ensure paths exist
SNAPSHOTS_DIR.mkdir(parents=True, exist_ok=True)
# ── Helpers ─────────────────────────────────────────────────────────────────
def run_cmd(cmd: List[str], cwd: Path = REPO_ROOT) -> str:
"""Run a shell command and return stdout (stderr merged)."""
result = subprocess.run(
cmd, capture_output=True, text=True, cwd=cwd, timeout=30
)
if result.returncode != 0:
return ""
return result.stdout.strip()
def slugify_date(dt: datetime) -> str:
return dt.strftime("%Y-%m-%d")
def snapshot_path(dt: datetime) -> Path:
return SNAPSHOTS_DIR / f"{slugify_date(dt)}.json"
def load_snapshots() -> List[Dict[str, Any]]:
"""Load all existing snapshots sorted by date."""
snapshots = []
for f in sorted(SNAPSHOTS_DIR.glob("*.json")):
try:
with open(f) as fp:
snapshots.append(json.load(fp))
except Exception:
continue
return snapshots
# ── Metric 1: Test Coverage ─────────────────────────────────────────────────
def collect_test_coverage() -> Dict[str, Any]:
"""
Compute test coverage metrics.
Counts test_*.py and *_test.py files vs non-test .py source files.
Also attempts to read .coverage if present.
"""
all_py = list(REPO_ROOT.rglob("*.py"))
source_files = []
test_files = []
for p in all_py:
try:
rel_parts = p.relative_to(REPO_ROOT).parts
except ValueError:
continue
# Skip hidden/cache/temp dirs (check only relative parts)
if any(part.startswith('.') or part.startswith('__') for part in rel_parts):
continue
if any(part in ('node_modules', 'venv', '.venv', 'env', '.pytest_cache') for part in rel_parts):
continue
if p.name.startswith("test_") or p.name.endswith("_test.py"):
test_files.append(p)
else:
source_files.append(p)
# Try to get line coverage from .coverage
coverage_percent = None
coverage_tool = None
coverage_file = REPO_ROOT / ".coverage"
if coverage_file.exists():
try:
import coverage # type: ignore
# Use coverage API if available
cov = coverage.Coverage(data_file=str(coverage_file))
cov.load()
total = cov.report()
coverage_percent = total if isinstance(total, float) else None
coverage_tool = "coverage"
except Exception:
# Fallback: parse `coverage report` output
out = run_cmd(["coverage", "report", "--skip-empty"])
if out:
for line in out.splitlines():
if "TOTAL" in line:
parts = line.split()
if len(parts) >= 2:
try:
coverage_percent = float(parts[-1].rstrip('%'))
coverage_tool = "coverage"
break
except ValueError:
pass
return {
"test_files": len(test_files),
"source_files": len(source_files),
"test_to_source_ratio": round(len(test_files) / len(source_files), 4) if source_files else 0.0,
"coverage_tool": coverage_tool,
"coverage_percent": coverage_percent,
}
# ── Metric 2: Doc Coverage ──────────────────────────────────────────────────
def collect_doc_coverage() -> Dict[str, Any]:
"""
Check AST of Python files for docstrings.
Returns: callables_total, callables_with_doc, doc_coverage_percent
"""
import ast
all_py = list(REPO_ROOT.rglob("*.py"))
source_files = []
test_files = []
for p in all_py:
try:
rel_parts = p.relative_to(REPO_ROOT).parts
except ValueError:
continue
if any(part.startswith('.') or part.startswith('__') for part in rel_parts):
continue
if any(part in ('node_modules', 'venv', '.venv', 'env', '.pytest_cache') for part in rel_parts):
continue
if p.name.startswith("test_") or p.name.endswith("_test.py"):
test_files.append(p)
else:
source_files.append(p)
total_callables = 0
with_doc = 0
for p in source_files + test_files:
try:
with open(p) as f:
tree = ast.parse(f.read(), filename=str(p))
for node in ast.walk(tree):
if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef, ast.ClassDef)):
total_callables += 1
doc = ast.get_docstring(node)
if doc and doc.strip():
with_doc += 1
except Exception:
continue
return {
"callables_total": total_callables,
"callables_with_doc": with_doc,
"doc_coverage_percent": round((with_doc / total_callables * 100) if total_callables else 0.0, 2),
}
# ── Metric 3: Issue Close Rate ──────────────────────────────────────────────
def collect_issue_metrics() -> Dict[str, Any]:
"""
Use Gitea API to get issue open/close stats for the last 7 days.
Returns counts and close rate.
"""
token = ""
if TOKEN_PATH.exists():
token = TOKEN_PATH.read_text().strip()
if not token:
return {
"opened_last_7d": None,
"closed_last_7d": None,
"close_rate": None,
"total_open": None,
"note": "Gitea token not available"
}
try:
from urllib.request import Request, urlopen
from urllib.error import HTTPError, URLError
except ImportError:
return {"error": "urllib not available"}
now = datetime.now(timezone.utc)
week_ago = now - timedelta(days=7)
since = week_ago.strftime("%Y-%m-%d")
headers = {"Authorization": f"token {token}"}
base_url = f"{GITEA_API_BASE}/repos/{ORG}/compounding-intelligence/issues"
try:
# Get issues from last 7 days
url = f"{base_url}?state=all&since={since}&per_page=100"
req = Request(url, headers=headers)
with urlopen(req, timeout=15) as resp:
issues = json.loads(resp.read())
opened = 0
closed = 0
for issue in issues:
created = datetime.fromisoformat(issue["created_at"].replace("Z", "+00:00"))
if created >= week_ago:
opened += 1
if issue.get("state") == "closed":
closed_at_str = issue.get("closed_at")
if closed_at_str:
closed_at = datetime.fromisoformat(closed_at_str.replace("Z", "+00:00"))
if closed_at >= week_ago:
closed += 1
# Total open issues
req2 = Request(f"{base_url}?state=open&per_page=1", headers=headers)
with urlopen(req2, timeout=15) as resp:
total_open = int(resp.headers.get("X-Total-Count", "0"))
total = opened + closed
close_rate = closed / total if total > 0 else 0.0
return {
"opened_last_7d": opened,
"closed_last_7d": closed,
"close_rate": round(close_rate, 4),
"total_open": total_open,
}
except Exception as e:
return {
"opened_last_7d": None,
"closed_last_7d": None,
"close_rate": None,
"total_open": None,
"error": str(e)[:100],
"note": "Gitea API unavailable"
}
# ── Metric 4: Dependency Freshness ─────────────────────────────────────────
def collect_dep_freshness() -> Dict[str, Any]:
"""
Check requirements.txt for outdated dependencies using pip list --outdated.
Returns freshness percentage and outdated list.
"""
req_file = REPO_ROOT / "requirements.txt"
if not req_file.exists():
return {
"total_deps": 0,
"outdated_deps": 0,
"freshness_percent": 100.0,
"outdated_list": [],
"note": "requirements.txt not found"
}
# Parse requirements (very simple: take name before comparison op)
reqs = []
with open(req_file) as f:
for line in f:
line = line.strip()
if not line or line.startswith("#"):
continue
m = re.match(r"^([a-zA-Z0-9_.-]+)", line)
if m:
reqs.append(m.group(1))
if not reqs:
return {"total_deps": 0, "outdated_deps": 0, "freshness_percent": 100.0, "outdated_list": []}
# Query pip for outdated packages (may fail if pip not available)
outdated_names = set()
try:
out = run_cmd(["pip", "list", "--outdated", "--format=json"])
if out:
data = json.loads(out)
outdated_names = {item["name"].lower() for item in data}
except Exception:
pass
outdated = [p for p in reqs if p.lower() in outdated_names]
total = len(reqs)
outdated_count = len(outdated)
freshness = round(((total - outdated_count) / total * 100) if total else 100.0, 1)
return {
"total_deps": total,
"outdated_deps": outdated_count,
"freshness_percent": freshness,
"outdated_list": outdated,
}
# ── Snapshot & Trends ───────────────────────────────────────────────────────
def take_snapshot() -> Dict[str, Any]:
"""Collect all metrics and return a snapshot dict."""
now = datetime.now(timezone.utc)
test_cov = collect_test_coverage()
doc_cov = collect_doc_coverage()
issues = collect_issue_metrics()
deps = collect_dep_freshness()
return {
"timestamp": now.isoformat(),
"date": slugify_date(now),
"metrics": {
"test_coverage": test_cov,
"doc_coverage": doc_cov,
"issues": issues,
"dependencies": deps,
}
}
def save_snapshot(snapshot: Dict[str, Any]) -> Path:
path = snapshot_path(datetime.fromisoformat(snapshot["timestamp"]))
with open(path, "w") as f:
json.dump(snapshot, f, indent=2)
return path
def generate_trends(snapshots: List[Dict[str, Any]], output_path: Optional[Path] = None) -> str:
"""Generate markdown trends table; optionally write to file."""
if not snapshots:
msg = "# Progress Tracker — Trends\n\nNo snapshots yet. Run `progress_tracker.py` to create the first snapshot."
if output_path:
output_path.parent.mkdir(parents=True, exist_ok=True)
output_path.write_text(msg)
return msg
lines = [
"# Progress Tracker — Trends",
f"\nLast updated: {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')}",
f"\nSnapshots: {len(snapshots)}\n",
"| Date | Test Files → Source | Doc Coverage | Issues Closed/Opened (7d) | Dep Freshness |",
"|------|---------------------|--------------|---------------------------|---------------|",
]
for snap in reversed(snapshots): # chronological
date = snap["date"]
m = snap["metrics"]
tc = m["test_coverage"]
test_str = f"{tc['test_files']}/{tc['source_files']} ({tc['test_to_source_ratio']:.2f})"
doc_str = f"{m['doc_coverage']['doc_coverage_percent']:.1f}%"
issues_str = f"{m['issues'].get('closed_last_7d','-')}/{m['issues'].get('opened_last_7d','-')}"
dep_str = f"{m['dependencies'].get('freshness_percent','?')}%"
lines.append(f"| {date} | {test_str} | {doc_str} | {issues_str} | {dep_str} |")
# Current snapshot summary
cur = snapshots[-1]
cm = cur["metrics"]
lines.append(f"\n## Current Snapshot ({cur['date']})\n")
tc = cm["test_coverage"]
cov_line = f"- Test coverage: {tc['coverage_percent']:.1f}% (via {tc['coverage_tool']})\n" if tc["coverage_percent"] else "- Test coverage: (pytest-cov not configured)\n"
lines.append(cov_line)
lines.append(f"- Doc coverage: {cm['doc_coverage']['doc_coverage_percent']:.1f}%")
im = cm["issues"]
if im.get("close_rate") is not None:
lines.append(f"- Issue close rate (7d): {im['close_rate']*100:.1f}% ({im['closed_last_7d']} closed, {im['opened_last_7d']} opened)")
else:
lines.append(f"- Issue metrics: {im.get('note','unavailable')}")
dd = cm["dependencies"]
lines.append(f"- Dep freshness: {dd.get('freshness_percent','?')}% outdated ({dd.get('outdated_deps',0)}/{dd.get('total_deps',0)} deps)")
if dd.get('outdated_list'):
lines.append(f" Outdated: {', '.join(dd['outdated_list'][:5])}")
content = "\n".join(lines) + "\n"
if output_path:
output_path.parent.mkdir(parents=True, exist_ok=True)
output_path.write_text(content)
return content
# ── Main ─────────────────────────────────────────────────────────────────────
def main() -> int:
parser = argparse.ArgumentParser(description="Progress Tracker — 10.8")
parser.add_argument("--json", action="store_true", help="Emit snapshot as JSON only")
parser.add_argument("--output", type=Path, default=METRICS_DIR / "TRENDS.md",
help="Write trends markdown to this file")
args = parser.parse_args()
snapshot = take_snapshot()
all_snapshots = load_snapshots()
path_written = save_snapshot(snapshot)
if args.json:
print(json.dumps(snapshot, indent=2))
return 0
trends = generate_trends(all_snapshots + [snapshot], output_path=args.output)
# Print current snapshot summary
print(f"Snapshot saved: {path_written}\n")
print(f"Progress Tracker — {snapshot['date']}")
print("=" * 50)
m = snapshot["metrics"]
tc = m["test_coverage"]
print(f"Test files: {tc['test_files']} | Source files: {tc['source_files']} | Ratio: {tc['test_to_source_ratio']:.3f}")
if tc["coverage_percent"] is not None:
print(f"Line coverage: {tc['coverage_percent']:.1f}% (via {tc['coverage_tool']})")
else:
print("Line coverage: (not available — run `pytest --cov`)")
print()
dc = m["doc_coverage"]
print(f"Callables with docstrings: {dc['callables_with_doc']}/{dc['callables_total']} ({dc['doc_coverage_percent']:.1f}%)")
print()
im = m["issues"]
if im.get("close_rate") is not None:
print(f"Issues (7d): {im['closed_last_7d']} closed / {im['opened_last_7d']} opened → close rate: {im['close_rate']*100:.1f}%")
print(f"Total open: {im['total_open']}")
else:
print(f"Issues: {im.get('note','unavailable')}")
print()
dd = m["dependencies"]
print(f"Dependencies: {dd.get('total_deps',0)} total, {dd.get('outdated_deps',0)} outdated")
if dd.get('outdated_list'):
shown = dd['outdated_list'][:5]
print(f"Outdated: {', '.join(shown)}" + ("..." if len(dd['outdated_list']) > 5 else ""))
print(f"\nTrends written to: {args.output}")
return 0
if __name__ == "__main__":
sys.exit(main())