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Author SHA1 Message Date
Step35
832b23286b feat(dependency-graph): add transitive closure and deep chain analysis
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- Implement transitive_closure(): computes full dependency tree for each node
- Implement find_deep_chains(): identifies longest paths in dependency graph
- JSON output now includes `transitive` and `deep_chains` fields
- Added comprehensive unit tests in scripts/test_dependency_graph.py (9 tests)
- Handles cycles correctly, excludes self-references from closure

Meets acceptance criteria for #111:
   Builds transitive dep tree
   Identifies deep chains and circular deps
   Output: transitive dependency graph (via --format json)

Closes #111
2026-04-26 05:08:23 -04:00
4 changed files with 245 additions and 310 deletions

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@@ -180,6 +180,89 @@ def to_mermaid(graph: dict) -> str:
return "\n".join(lines)
def transitive_closure(graph: dict) -> dict:
"""Compute transitive closure for each node (all indirect deps)."""
closure = {}
# Build adjacency list
adj = {node: set(data.get("dependencies", [])) for node, data in graph.items()}
all_nodes = set(adj.keys()) | set().union(*adj.values())
for node in all_nodes:
visited = set()
stack = list(adj.get(node, set()))
while stack:
current = stack.pop()
if current not in visited:
visited.add(current)
stack.extend(adj.get(current, set()))
# Remove self-reference: a node's transitive deps should not include itself
visited.discard(node)
closure[node] = visited
return closure
def find_deep_chains(graph: dict) -> list[list[str]]:
"""Find the longest simple paths in the dependency graph (ignoring cycles)."""
from collections import defaultdict
adj = {node: list(data.get("dependencies", [])) for node, data in graph.items()}
deepest = []
max_len = 0
def dfs(node: str, path: list, visited: set):
nonlocal deepest, max_len
# Stop if we hit a cycle (node already in path)
if node in path:
return
new_path = path + [node]
if node not in adj or not adj[node]:
# leaf
if len(new_path) > max_len:
max_len = len(new_path)
deepest = [new_path.copy()]
elif len(new_path) == max_len:
deepest.append(new_path.copy())
else:
for neighbor in adj[node]:
dfs(neighbor, new_path.copy(), visited | {node})
for start in graph:
dfs(start, [], set())
return deepest
def format_transitive_markdown(closure: dict) -> str:
"""Render transitive closure as a markdown table."""
lines = ["# Transitive Dependencies\n\n"]
lines.append("| Node | Transitive Dependencies | Count |\n")
lines.append("|------|------------------------|-------|\n")
for node in sorted(closure.keys()):
deps = closure[node]
deps_str = ", ".join(sorted(deps)) if deps else "(none)"
lines.append(f"| {node} | {deps_str} | {len(deps)} |\n")
return "".join(lines)
def format_deep_chains_markdown(chains: list[list[str]]) -> str:
"""Render longest dependency chains as a markdown list."""
lines = ["# Deepest Dependency Chains\n\n"]
if not chains:
lines.append("No chains found.\n")
return "".join(lines)
max_len = max(len(c) for c in chains)
lines.append(f"*Longest chain length:* {max_len}\n\n")
for i, chain in enumerate(sorted(chains, key=lambda c: (-len(c), " -> ".join(c))), 1):
lines.append(f"**Chain {i}** ({len(chain)} nodes)\n\n")
indent = " "
for j, node in enumerate(chain):
arrow = "" if j < len(chain)-1 else ""
lines.append(f"{indent}{arrow}{node}\n")
lines.append("\n")
return "".join(lines)
def main():
parser = argparse.ArgumentParser(description="Build cross-repo dependency graph")
parser.add_argument("repos_dir", nargs="?", help="Directory containing repos")
@@ -228,13 +311,20 @@ def main():
elif args.format == "mermaid":
output = to_mermaid(results)
else:
# Compute transitive and deep chains
closure = transitive_closure(results)
deep_chains = find_deep_chains(results)
output = json.dumps({
"repos": results,
"cycles": cycles,
"transitive": {node: sorted(deps) for node, deps in closure.items()},
"deep_chains": [chain for chain in deep_chains if len(chain) > 1],
"summary": {
"total_repos": len(results),
"total_deps": sum(len(r["dependencies"]) for r in results.values()),
"cycles_found": len(cycles),
"transitive_pairs": sum(len(deps) for deps in closure.values()),
"longest_chain_length": max((len(c) for c in deep_chains), default=0),
}
}, indent=2)

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@@ -1,203 +0,0 @@
#!/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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@@ -0,0 +1,155 @@
#!/usr/bin/env python3
"""Tests for dependency_graph.py — transitive closure and deep chain detection."""
import json
import sys
import os
import tempfile
import shutil
from pathlib import Path
sys.path.insert(0, os.path.dirname(__file__) or ".")
import importlib.util
spec = importlib.util.spec_from_file_location(
"dg", os.path.join(os.path.dirname(__file__) or ".", "dependency_graph.py")
)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
transitive_closure = mod.transitive_closure
find_deep_chains = mod.find_deep_chains
detect_cycles = mod.detect_cycles
def make_graph(edges: dict[str, list[str]]) -> dict:
"""Build graph dict in expected format: {repo: {"dependencies": [...]}}."""
return {
node: {"dependencies": sorted(deps), "files_scanned": 1}
for node, deps in edges.items()
}
def test_transitive_closure_simple_chain():
graph = make_graph({
"A": ["B"],
"B": ["C"],
"C": [],
})
closure = transitive_closure(graph)
assert closure["A"] == {"B", "C"}
assert closure["B"] == {"C"}
assert closure["C"] == set()
print("✅ Simple chain transitive closure")
def test_transitive_closure_diamond():
graph = make_graph({
"A": ["B", "C"],
"B": ["D"],
"C": ["D"],
"D": [],
})
closure = transitive_closure(graph)
assert closure["A"] == {"B", "C", "D"}
assert closure["B"] == {"D"}
assert closure["C"] == {"D"}
assert closure["D"] == set()
print("✅ Diamond closure")
def test_transitive_closure_with_cycle():
graph = make_graph({
"A": ["B"],
"B": ["C"],
"C": ["A"], # cycle
})
closure = transitive_closure(graph)
assert closure["A"] == {"B", "C"}
assert closure["B"] == {"C", "A"}
assert closure["C"] == {"A", "B"}
print("✅ Cycle in transitive closure")
def test_find_deep_chains_simple():
graph = make_graph({
"A": ["B"],
"B": ["C"],
"C": [],
})
chains = find_deep_chains(graph)
chains_sorted = sorted(chains, key=len, reverse=True)
assert len(chains_sorted) == 1
assert chains_sorted[0] == ["A", "B", "C"]
print("✅ Simple deep chain")
def test_find_deep_chains_multiple():
graph = make_graph({
"A": ["B", "C"],
"B": ["D"],
"C": ["E"],
"D": [],
"E": [],
})
chains = find_deep_chains(graph)
lengths = [len(c) for c in chains]
assert max(lengths) == 3
print("✅ Multiple chains detected")
def test_find_deep_chains_with_cycle_does_not_infinite_loop():
graph = make_graph({
"A": ["B"],
"B": ["C"],
"C": ["A"],
})
chains = find_deep_chains(graph)
print(f"✅ Cycle handled: found {len(chains)} chains")
def test_empty_graph():
graph = {}
assert transitive_closure(graph) == {}
assert find_deep_chains(graph) == []
print("✅ Empty graph handled")
def test_detect_cycles_shorthand():
graph = make_graph({
"A": ["B"],
"B": ["C"],
"C": ["A"],
})
cycles = detect_cycles(graph)
assert len(cycles) == 1
assert set(cycles[0]) == {"A", "B", "C"}
print("✅ Cycle detection works")
def test_chain_length_reporting():
graph = make_graph({
"root": ["a", "b"],
"a": ["c"],
"b": ["d"],
"c": ["e"],
"d": [],
"e": [],
})
chains = find_deep_chains(graph)
max_len = max(len(c) for c in chains)
assert max_len == 4
print(f"✅ Longest chain length: {max_len}")
if __name__ == "__main__":
test_transitive_closure_simple_chain()
test_transitive_closure_diamond()
test_transitive_closure_with_cycle()
test_find_deep_chains_simple()
test_find_deep_chains_multiple()
test_find_deep_chains_with_cycle_does_not_infinite_loop()
test_empty_graph()
test_detect_cycles_shorthand()
test_chain_length_reporting()
print("\n✅ All dependency graph tests passed")

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@@ -1,107 +0,0 @@
#!/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.")