feat(graph): Add graph visualizer (ASCII + DOT) with subgraph extraction

Add scripts/graph_visualizer.py — standalone tool that:
- Builds knowledge graph from knowledge/index.json
- Renders ASCII tree for terminal
- Exports DOT for Graphviz
- Extracts subgraphs by seed + max_depth
- Filters by domain and category

Includes test_graph_visualizer.py smoke test (8/8)
Addresses #151

scripts/graph_visualizer.py

@@ -0,0 +1,206 @@
+#!/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()

scripts/progress_tracker.py

@@ -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())

scripts/test_graph_visualizer.py

@@ -0,0 +1,105 @@
+#!/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)