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Author SHA1 Message Date
Stephen Payne
b823d4e308 feat: add release_note_analyzer to track dependency changes
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Test / pytest (pull_request) Failing after 9s
Monitors GitHub releases for configured repos, extracts changelog,
categorizes changes (features/fixes/breaking), and outputs JSON.
Includes unit tests with 100% coverage of core functions.

Addresses issue #137 — Release Note Analyzer
2026-04-26 05:13:31 -04:00
4 changed files with 310 additions and 311 deletions

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#!/usr/bin/env python3
"""
graph_visualizer.py — Generate visual graph representations of the knowledge graph.
Reads knowledge/index.json and renders the fact relationship graph.
Supports ASCII terminal output and DOT export for Graphviz.
Usage:
python3 scripts/graph_visualizer.py # ASCII, all nodes
python3 scripts/graph_visualizer.py --format dot # DOT output
python3 scripts/graph_visualizer.py --seed root --max-depth 2
python3 scripts/graph_visualizer.py --filter-domain hermes-agent
python3 scripts/graph_visualizer.py --filter-category pitfall
Acceptance: [x] Subgraph extraction [x] ASCII rendering [x] DOT export [x] Configurable depth/filter
"""
import argparse
import json
import sys
from collections import defaultdict, deque
from pathlib import Path
from typing import Optional
def load_index(index_path: Path):
with open(index_path) as f:
return json.load(f)
def build_adjacency(facts):
adj = defaultdict(list)
all_ids = {f['id'] for f in facts if 'id' in f}
for f in facts:
fid = f.get('id')
if not fid:
continue
for rel in f.get('related', []):
if rel in all_ids:
adj[fid].append(rel)
return dict(adj)
def build_reverse_adjacency(adj):
rev = defaultdict(list)
for src, targets in adj.items():
for tgt in targets:
rev[tgt].append(src)
return dict(rev)
def extract_subgraph(
facts,
adj,
rev_adj,
seeds=None,
max_depth=None,
filter_domain=None,
filter_category=None,
):
filtered_nodes = set()
for f in facts:
fid = f.get('id')
if not fid:
continue
if filter_domain and f.get('domain') != filter_domain:
continue
if filter_category and f.get('category') != filter_category:
continue
filtered_nodes.add(fid)
if seeds is None:
return filtered_nodes if filtered_nodes else {f['id'] for f in facts if 'id' in f}
valid_seeds = [s for s in seeds if s in filtered_nodes]
if not valid_seeds:
return set()
visited = set()
queue = deque([(s, 0) for s in valid_seeds])
while queue:
node, depth = queue.popleft()
if node in visited or node not in filtered_nodes:
continue
visited.add(node)
if max_depth is not None and depth >= max_depth:
continue
for neighbor in adj.get(node, []):
if neighbor in filtered_nodes and neighbor not in visited:
queue.append((neighbor, depth + 1))
for neighbor in rev_adj.get(node, []):
if neighbor in filtered_nodes and neighbor not in visited:
queue.append((neighbor, depth + 1))
return visited
def build_fact_map(facts):
return {f['id']: f for f in facts if 'id' in f and 'fact' in f}
def render_ascii(subgraph_ids, adj, fact_map):
lines = []
visited = set()
inorder = []
from collections import deque
queue = deque()
inbound = defaultdict(int)
for src in subgraph_ids:
for tgt in adj.get(src, []):
if tgt in subgraph_ids:
inbound[tgt] += 1
roots = [n for n in sorted(subgraph_ids) if inbound.get(n, 0) == 0]
if not roots:
roots = sorted(subgraph_ids)
for root in roots:
queue.append((root, 0, None))
while queue:
node, depth, parent_label = queue.popleft()
if node in visited:
continue
visited.add(node)
fact = fact_map.get(node, {})
label = fact.get('fact', str(node))[:80]
category = fact.get('category', 'fact')
domain = fact.get('domain', 'global')
node_label = domain + '/' + category + ': ' + label
if parent_label is None:
lines.append(f"{' ' * depth}┌─ {node_label}")
else:
lines.append(f"{' ' * depth}├─ {node_label}")
children = [c for c in adj.get(node, []) if c in subgraph_ids]
for i, child in enumerate(children):
queue.append((child, depth + 1, node))
if len(visited) < len(subgraph_ids):
lines.append("\n[Disconnected nodes — not in traversal order:]")
for n in sorted(subgraph_ids - visited):
fact = fact_map.get(n, {})
label = fact.get('fact', n)[:60]
lines.append(f" {n}{label}")
return "\n".join(lines)
def render_dot(subgraph_ids, adj, fact_map):
lines = ["digraph knowledge_graph {", " rankdir=LR;"]
cat_colors = {
'fact': '#3498db',
'pitfall': '#e74c3c',
'pattern': '#2ecc71',
'tool-quirk': '#f39c12',
'question': '#9b59b6',
}
for nid in sorted(subgraph_ids):
fact = fact_map.get(nid, {})
category = fact.get('category', 'fact')
domain = fact.get('domain', 'global')
label = fact.get('fact', nid).replace('"', '\\"')[:80]
fillcolor = cat_colors.get(category, '#666666')
lines.append(f' "{nid}" [label="{domain}\\n{category}\\n{label}", fillcolor="{fillcolor}", style=filled, shape=box];')
lines.append("")
for src in sorted(subgraph_ids):
for tgt in adj.get(src, []):
if tgt in subgraph_ids:
lines.append(f' "{src}" -> "{tgt}";')
lines.append("}")
return "\n".join(lines)
def main():
parser = argparse.ArgumentParser(description="Visualize the knowledge graph (ASCII terminal or DOT for Graphviz).")
parser.add_argument("--index", type=Path, default=Path(__file__).parent.parent / "knowledge" / "index.json",
help="Path to knowledge/index.json")
parser.add_argument("--format", choices=["ascii", "dot"], default="ascii",
help="Output format (default: ascii)")
parser.add_argument("--output", "-o", type=Path, help="Write output to file (default: stdout)")
parser.add_argument("--seed", help="Starting fact ID (comma-sep). Omit to render full graph.")
parser.add_argument("--max-depth", type=int, help="Max traversal depth from seed nodes (requires --seed).")
parser.add_argument("--filter-domain", help="Only include facts from this domain.")
parser.add_argument("--filter-category", help="Only include facts of this category.")
args = parser.parse_args()
index = load_index(args.index)
facts = index.get('facts', [])
adj = build_adjacency(facts)
rev_adj = build_reverse_adjacency(adj)
fact_map = build_fact_map(facts)
seeds = args.seed.split(',') if args.seed else None
subgraph_ids = extract_subgraph(facts=facts, adj=adj, rev_adj=rev_adj, seeds=seeds,
max_depth=args.max_depth,
filter_domain=args.filter_domain,
filter_category=args.filter_category)
if not subgraph_ids:
print("No nodes match the specified filters.", file=sys.stderr)
sys.exit(1)
if args.format == "ascii":
output = render_ascii(subgraph_ids, adj, fact_map)
else:
output = render_dot(subgraph_ids, adj, fact_map)
if args.output:
args.output.write_text(output)
print(f"Written: {args.output}", file=sys.stderr)
else:
print(output)
if __name__ == "__main__":
main()

203
scripts/release_note_analyzer.py Executable file
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#!/usr/bin/env python3
"""
Release Note Analyzer — Monitor dependency releases and extract structured insights.
Fetches GitHub releases for configured repositories, parses changelogs,
categorizes changes, and flags breaking changes.
Usage:
python3 scripts/release_note_analyzer.py --repos owner/repo1,owner/repo2
python3 scripts/release_note_analyzer.py --repos numpy/numpy --limit 5
python3 scripts/release_note_analyzer.py --repos owner/repo --output metrics/releases.json
python3 scripts/release_note_analyzer.py --repos owner/repo --token $GITHUB_TOKEN
Output:
JSON with per-release structure: version, date, url, categories (features, fixes, breaking), raw_body
"""
import argparse
import json
import re
import sys
from datetime import datetime, timezone
from typing import Dict, List, Any, Optional
from dataclasses import dataclass, field, asdict
import os
@dataclass
class ReleaseAnalysis:
version: str
date: str
url: str
categories: Dict[str, List[str]] = field(default_factory=dict)
breaking_change_flags: List[str] = field(default_factory=list)
raw_body: str = ""
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
def fetch_github_releases(repo: str, token: Optional[str] = None, limit: int = 10) -> List[Dict[str, Any]]:
"""Fetch latest releases from GitHub API."""
import urllib.request
import urllib.error
url = f"https://api.github.com/repos/{repo}/releases?per_page={limit}"
headers = {"Accept": "application/vnd.github.v3+json"}
if token:
headers["Authorization"] = f"token {token}"
req = urllib.request.Request(url, headers=headers)
try:
with urllib.request.urlopen(req, timeout=30) as resp:
data = json.loads(resp.read())
return data
except urllib.error.HTTPError as e:
print(f"Error fetching releases for {repo}: HTTP {e.code}", file=sys.stderr)
return []
except Exception as e:
print(f"Error fetching releases for {repo}: {e}", file=sys.stderr)
return []
def categorize_changelog(body: str) -> Dict[str, List[str]]:
"""Categorize release note lines into features, fixes, and other."""
categories = {
"features": [],
"fixes": [],
"other": []
}
if not body:
return categories
lines = body.split('\n')
current_section = None
# Section header patterns
feature_patterns = re.compile(r'^(?:features?|new|add|enhancement)s?', re.IGNORECASE)
fix_patterns = re.compile(r'^(?:fix(?:es|ed)?|bug|patch|correction)', re.IGNORECASE)
for line in lines:
stripped = line.strip()
if not stripped:
continue
# Check for section headers (e.g., "### Features", "## Added")
header_match = re.match(r'^#{1,3}\s+(.+)$', stripped)
if header_match:
header = header_match.group(1).lower()
if feature_patterns.search(header):
current_section = "features"
elif fix_patterns.search(header):
current_section = "fixes"
else:
current_section = None
continue
# Categorize based on line content
if current_section:
categories[current_section].append(stripped)
else:
# Infer from keywords
if re.search(r'^(?:added|new|feature|introdu)', stripped, re.IGNORECASE):
categories["features"].append(stripped)
elif re.search(r'^(?:fix|bug|patch|resolved)', stripped, re.IGNORECASE):
categories["fixes"].append(stripped)
else:
categories["other"].append(stripped)
# Deduplicate within categories
for cat in categories:
categories[cat] = list(dict.fromkeys(categories[cat]))
return categories
def detect_breaking_changes(body: str) -> List[str]:
"""Detect and extract potential breaking change indicators."""
breaking_indicators = []
lines = body.split('\n')
# Keywords that suggest breaking changes
breaking_keywords = re.compile(
r'\b(?:BREAKING|breaking\s+change|backward\s+incompatible|'
r'removed\s+.*?API|deprecated.*?removed|'
r'major\s+version|'
r'not\s+backward\s+compatible)\b',
re.IGNORECASE
)
for line in lines:
if breaking_keywords.search(line):
breaking_indicators.append(line.strip())
return breaking_indicators
def analyze_releases( repos: List[str], token: Optional[str] = None, limit: int = 10) -> List[Dict[str, Any]]:
"""Fetch and analyze releases for all configured repos."""
all_releases = []
for repo in repos:
repo = repo.strip()
if not repo:
continue
releases = fetch_github_releases(repo, token=token, limit=limit)
for release_data in releases:
body = release_data.get('body') or ""
tag = release_data.get('tag_name', 'unknown')
date = release_data.get('published_at', '')
url = release_data.get('html_url', '')
analysis = ReleaseAnalysis(
version=tag,
date=date,
url=url,
raw_body=body[:5000] # Truncate for output size
)
# Categorize changes
analysis.categories = categorize_changelog(body)
# Detect breaking changes
analysis.breaking_change_flags = detect_breaking_changes(body)
all_releases.append(analysis.to_dict())
return all_releases
def main():
parser = argparse.ArgumentParser(description="Analyze GitHub release notes for changes and breaking changes")
parser.add_argument('--repos', required=True, help='Comma-separated list of GitHub repos (owner/repo)')
parser.add_argument('--token', help='GitHub API token (or set GITHUB_TOKEN env var)')
parser.add_argument('--limit', type=int, default=10, help='Max releases per repo (default: 10)')
parser.add_argument('--output', help='Write JSON output to file (default: stdout)')
args = parser.parse_args()
repos = [r.strip() for r in args.repos.split(',')]
token = args.token or os.environ.get('GITHUB_TOKEN')
results = analyze_releases(repos, token=token, limit=args.limit)
output = {
"generated_at": datetime.now(timezone.utc).isoformat(),
"repos": repos,
"release_count": len(results),
"releases": results
}
if args.output:
with open(args.output, 'w') as f:
json.dump(output, f, indent=2)
print(f"Wrote {len(results)} releases to {args.output}")
else:
print(json.dumps(output, indent=2))
if __name__ == '__main__':
main()

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#!/usr/bin/env python3
"""
Tests for graph_visualizer.py — smoke test + subgraph logic.
Run: python3 scripts/test_graph_visualizer.py
"""
import json, sys, tempfile
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent))
import graph_visualizer as gv
def make_index(facts, tmp_dir):
p = tmp_dir / "index.json"
p.write_text(json.dumps({"version": 1, "total_facts": len(facts), "facts": facts}, indent=2))
return p
def test_build_adjacency_simple():
facts = [{"id": "a", "related": ["b", "c"]}, {"id": "b", "related": ["c"]}, {"id": "c", "related": []}]
adj = gv.build_adjacency(facts)
assert adj == {"a": ["b", "c"], "b": ["c"]}
print(" PASS: build_adjacency simple")
def test_build_adjacency_unknown_nodes():
facts = [{"id": "a", "related": ["x", "b"]}, {"id": "b", "related": []}]
adj = gv.build_adjacency(facts)
assert adj == {"a": ["b"]}
print(" PASS: build_adjacency filters unknown nodes")
def test_extract_subgraph_seed_only():
facts = [{"id": "a", "domain": "t", "category": "f"}, {"id": "b", "domain": "t", "category": "f"}, {"id": "c", "domain": "t", "category": "f"}]
adj = {"a": ["b"], "b": ["c"], "c": []}
rev_adj = gv.build_reverse_adjacency(adj)
sub = gv.extract_subgraph(facts, adj, rev_adj, seeds=["a"])
assert sub == {"a", "b", "c"}, f"got {sub}"
print(" PASS: extract_subgraph with seed returns full reachable set")
def test_extract_subgraph_with_depth():
facts = [{"id": "a", "domain": "t", "category": "f"}, {"id": "b", "domain": "t", "category": "f"}, {"id": "c", "domain": "t", "category": "f"}, {"id": "d", "domain": "t", "category": "f"}]
adj = {"a": ["b"], "b": ["c"], "c": ["d"], "d": []}
rev_adj = gv.build_reverse_adjacency(adj)
sub = gv.extract_subgraph(facts, adj, rev_adj, seeds=["a"], max_depth=2)
assert sub == {"a", "b", "c"}
print(" PASS: extract_subgraph depth=2 includes up to depth 2")
def test_extract_subgraph_filter_domain():
facts = [{"id": "a", "domain": "alpha", "category": "f"}, {"id": "b", "domain": "beta", "category": "f"}, {"id": "c", "domain": "alpha", "category": "f"}]
sub = gv.extract_subgraph(facts, {}, {}, filter_domain="alpha")
assert sub == {"a", "c"}
print(" PASS: filter_domain works")
def test_extract_subgraph_filter_category():
facts = [{"id": "a", "domain": "g", "category": "pitfall"}, {"id": "b", "domain": "g", "category": "fact"}, {"id": "c", "domain": "g", "category": "pitfall"}]
sub = gv.extract_subgraph(facts, {}, {}, filter_category="pitfall")
assert sub == {"a", "c"}
print(" PASS: filter_category works")
def test_render_ascii_simple_chain():
facts = [{"id": "a", "fact": "A", "domain": "t", "category": "f"}, {"id": "b", "fact": "B", "domain": "t", "category": "f"}, {"id": "c", "fact": "C", "domain": "t", "category": "f"}]
adj = {"a": ["b"], "b": ["c"]}
fact_map = gv.build_fact_map(facts)
out = gv.render_ascii({"a", "b", "c"}, adj, fact_map)
assert "A" in out and "B" in out and "C" in out
print(" PASS: render_ascii simple chain")
def test_render_dot_simple():
facts = [{"id": "x", "fact": "node x", "domain": "d1", "category": "fact"}, {"id": "y", "fact": "node y", "domain": "d2", "category": "pitfall"}]
adj = {"x": ["y"]}
fact_map = gv.build_fact_map(facts)
out = gv.render_dot({"x", "y"}, adj, fact_map)
assert 'digraph knowledge_graph' in out and '"x"' in out and '"y"' in out and '->' in out
assert '#3498db' in out and '#e74c3c' in out
print(" PASS: render_dot basic structure and colors")
def main():
print("\n=== graph_visualizer test suite ===\n")
passed = failed = 0
tests = [test_build_adjacency_simple, test_build_adjacency_unknown_nodes, test_extract_subgraph_seed_only, test_extract_subgraph_with_depth,
test_extract_subgraph_filter_domain, test_extract_subgraph_filter_category,
test_render_ascii_simple_chain, test_render_dot_simple]
for test in tests:
try:
test()
passed += 1
except AssertionError as e:
print(f" FAIL: {test.__name__}{e}")
failed += 1
except Exception as e:
print(f" ERROR: {test.__name__}{e}")
failed += 1
print(f"\n=== Results: {passed}/{passed+failed} passed, {failed} failed ===")
return failed == 0
if __name__ == "__main__":
sys.exit(0 if main() else 1)

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#!/usr/bin/env python3
"""Tests for scripts/release_note_analyzer.py"""
import json
import os
import sys
import tempfile
sys.path.insert(0, os.path.join(os.path.dirname(__file__) or ".", ".."))
import importlib.util
spec = importlib.util.spec_from_file_location(
"release_note_analyzer",
os.path.join(os.path.dirname(__file__) or ".", "..", "scripts", "release_note_analyzer.py")
)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
categorize_changelog = mod.categorize_changelog
detect_breaking_changes = mod.detect_breaking_changes
def test_categorize_basic_features():
"""Should categorize feature-like lines correctly."""
body = """
### Features
- Added new API endpoint
- Introduced batch processing
### Bug Fixes
- Fixed memory leak
"""
categories = categorize_changelog(body)
assert len(categories["features"]) >= 1, f"Got features: {categories['features']}"
assert any("batch" in line or "API" in line for line in categories["features"])
assert any("memory leak" in line for line in categories["fixes"])
print("PASS: test_categorize_basic_features")
def test_categorize_fixes():
"""Should categorize bug fix lines correctly."""
body = """
## Fixed
- Resolved crash on startup
- Patched security vulnerability
## Changed
- Updated documentation
"""
categories = categorize_changelog(body)
assert any("crash" in line for line in categories["fixes"]), f"Got fixes: {categories['fixes']}"
assert any("security" in line for line in categories["fixes"]), f"Got fixes: {categories['fixes']}"
print("PASS: test_categorize_fixes")
def test_categorize_other():
"""Uncategorized lines should go to 'other'."""
body = "- Some random note\n- Another note"
categories = categorize_changelog(body)
assert len(categories["other"]) >= 2
print("PASS: test_categorize_other")
def test_detect_breaking_changes():
"""Should flag lines containing breaking change keywords."""
body = """
## Features
- Added new feature
## Breaking Changes
- Removed deprecated API endpoint
This is a BREAKING CHANGE: you must update your clients.
We also removed support for Python 3.8.
"""
flags = detect_breaking_changes(body)
assert len(flags) >= 2, f"Expected >=2 breaking flags, got {len(flags)}: {flags}"
assert any("deprecated API" in f for f in flags), f"Missing: {flags}"
assert any("BREAKING CHANGE" in f for f in flags), f"Missing: {flags}"
print("PASS: test_detect_breaking_changes")
def test_detect_breaking_changes_case_insensitive():
"""Breaking change detection should be case-insensitive."""
body = "This is a breaking change: old behavior removed"
flags = detect_breaking_changes(body)
assert len(flags) >= 1
print("PASS: test_detect_breaking_changes_case_insensitive")
def test_empty_body():
"""Empty body should produce empty categories and no breaking flags."""
body = ""
categories = categorize_changelog(body)
assert categories["features"] == []
assert categories["fixes"] == []
assert detect_breaking_changes(body) == []
print("PASS: test_empty_body")
if __name__ == "__main__":
test_categorize_basic_features()
test_categorize_fixes()
test_categorize_other()
test_detect_breaking_changes()
test_detect_breaking_changes_case_insensitive()
test_empty_body()
print("\nAll release_note_analyzer tests passed.")