feat: Issue backlog manager for triage automation (#1459)

Automated issue triage: categorize, find stale, estimate burn time,
generate markdown/JSON reports. Addresses timmy-home backlog (was 220,
now 148 open issues).

Closes #1459.

bin/issue_backlog_manager.py

@@ -0,0 +1,287 @@
+#!/usr/bin/env python3
+"""
+Issue Backlog Manager — Triage, categorize, and manage Gitea issue backlogs.
+
+Generates reports, identifies stale issues, suggests closures, and provides
+actionable triage recommendations.
+
+Usage:
+    python bin/issue_backlog_manager.py timmy-home              # Full report
+    python bin/issue_backlog_manager.py timmy-home --stale 90    # Issues stale >90 days
+    python bin/issue_backlog_manager.py timmy-home --close-dry   # Dry-run close candidates
+    python bin/issue_backlog_manager.py timmy-home --json        # JSON output
+"""
+
+import json
+import os
+import re
+import sys
+from collections import Counter, defaultdict
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+from typing import Any
+
+try:
+    import urllib.request
+except ImportError:
+    print("Error: urllib required")
+    sys.exit(1)
+
+# ---------------------------------------------------------------------------
+# Config
+# ---------------------------------------------------------------------------
+
+GITEA_BASE = os.environ.get("GITEA_API_BASE", "https://forge.alexanderwhitestone.com/api/v1")
+TOKEN_PATH = os.environ.get("GITEA_TOKEN_PATH", str(Path.home() / ".config/gitea/token"))
+ORG = "Timmy_Foundation"
+
+
+def _load_token() -> str:
+    try:
+        return open(TOKEN_PATH).read().strip()
+    except FileNotFoundError:
+        print(f"Token not found at {TOKEN_PATH}", file=sys.stderr)
+        sys.exit(1)
+
+
+def api_get(path: str, token: str) -> Any:
+    req = urllib.request.Request(f"{GITEA_BASE}{path}")
+    req.add_header("Authorization", f"token {token}")
+    return json.loads(urllib.request.urlopen(req, timeout=30).read())
+
+
+# ---------------------------------------------------------------------------
+# Issue fetching
+# ---------------------------------------------------------------------------
+
+def fetch_all_open_issues(repo: str, token: str) -> list[dict]:
+    """Fetch all open issues for a repo (paginated)."""
+    issues = []
+    page = 1
+    while True:
+        batch = api_get(f"/repos/{ORG}/{repo}/issues?state=open&limit=100&page={page}", token)
+        if not batch:
+            break
+        # Filter out PRs
+        real = [i for i in batch if not i.get("pull_request")]
+        issues.extend(real)
+        if len(batch) < 100:
+            break
+        page += 1
+    return issues
+
+
+def fetch_recently_closed(repo: str, token: str, days: int = 30) -> list[dict]:
+    """Fetch recently closed issues (for velocity analysis)."""
+    since = (datetime.now(timezone.utc) - timedelta(days=days)).strftime("%Y-%m-%dT%H:%M:%SZ")
+    issues = []
+    page = 1
+    while True:
+        batch = api_get(
+            f"/repos/{ORG}/{repo}/issues?state=closed&limit=100&page={page}&since={since}",
+            token
+        )
+        if not batch:
+            break
+        real = [i for i in batch if not i.get("pull_request")]
+        issues.extend(real)
+        if len(batch) < 100:
+            break
+        page += 1
+    return issues
+
+
+# ---------------------------------------------------------------------------
+# Analysis
+# ---------------------------------------------------------------------------
+
+def analyze_issue(issue: dict, now: datetime) -> dict:
+    """Analyze a single issue for triage signals."""
+    created = datetime.fromisoformat(issue["created_at"].replace("Z", "+00:00"))
+    updated = datetime.fromisoformat(issue["updated_at"].replace("Z", "+00:00"))
+    age_days = (now - created).days
+    stale_days = (now - updated).days
+
+    labels = [l["name"] for l in issue.get("labels", [])]
+    has_assignee = bool(issue.get("assignees"))
+    has_pr_ref = bool(re.search(r"#\d+|PR|pull", issue.get("body", ""), re.IGNORECASE))
+
+    # Staleness signals
+    is_stale = stale_days > 60
+    is_very_stale = stale_days > 180
+
+    # Category inference from title
+    title = issue.get("title", "").lower()
+    if any(k in title for k in ("[bug]", "fix:", "broken", "crash", "regression")):
+        inferred_category = "bug"
+    elif any(k in title for k in ("feat:", "[feat]", "add", "implement", "feature")):
+        inferred_category = "feature"
+    elif any(k in title for k in ("docs:", "documentation", "readme")):
+        inferred_category = "docs"
+    elif any(k in title for k in ("[rca]", "root cause", "investigation")):
+        inferred_category = "rca"
+    elif any(k in title for k in ("[big-brain]", "benchmark", "research")):
+        inferred_category = "research"
+    elif any(k in title for k in ("[infra]", "deploy", "cron", "watchdog", "ci")):
+        inferred_category = "infra"
+    elif any(k in title for k in ("[security]", "shield", "injection")):
+        inferred_category = "security"
+    elif any(k in title for k in ("triage", "backlog", "process", "audit")):
+        inferred_category = "process"
+    elif "batch-pipeline" in labels:
+        inferred_category = "training-data"
+    else:
+        inferred_category = "other"
+
+    return {
+        "number": issue["number"],
+        "title": issue["title"],
+        "labels": labels,
+        "has_assignee": has_assignee,
+        "age_days": age_days,
+        "stale_days": stale_days,
+        "is_stale": is_stale,
+        "is_very_stale": is_very_stale,
+        "inferred_category": inferred_category,
+        "url": issue.get("html_url", ""),
+    }
+
+
+def generate_triage_report(repo: str, token: str) -> dict:
+    """Generate a full triage report for a repo."""
+    now = datetime.now(timezone.utc)
+
+    # Fetch data
+    open_issues = fetch_all_open_issues(repo, token)
+    closed_recent = fetch_recently_closed(repo, token, days=30)
+
+    # Analyze
+    analyzed = [analyze_issue(i, now) for i in open_issues]
+
+    # Categories
+    by_category = defaultdict(list)
+    for a in analyzed:
+        by_category[a["inferred_category"]].append(a)
+
+    # Staleness
+    stale = [a for a in analyzed if a["is_stale"]]
+    very_stale = [a for a in analyzed if a["is_very_stale"]]
+
+    # Label distribution
+    label_counts = Counter()
+    for a in analyzed:
+        for l in a["labels"]:
+            label_counts[l] += 1
+
+    # Age distribution
+    age_buckets = {"<7d": 0, "7-30d": 0, "30-90d": 0, "90-180d": 0, ">180d": 0}
+    for a in analyzed:
+        d = a["age_days"]
+        if d < 7:
+            age_buckets["<7d"] += 1
+        elif d < 30:
+            age_buckets["7-30d"] += 1
+        elif d < 90:
+            age_buckets["30-90d"] += 1
+        elif d < 180:
+            age_buckets["90-180d"] += 1
+        else:
+            age_buckets[">180d"] += 1
+
+    # Velocity
+    velocity_30d = len(closed_recent)
+
+    return {
+        "repo": repo,
+        "generated_at": now.isoformat(),
+        "summary": {
+            "open_issues": len(open_issues),
+            "stale_60d": len(stale),
+            "very_stale_180d": len(very_stale),
+            "closed_last_30d": velocity_30d,
+            "estimated_burn_days": len(open_issues) / max(velocity_30d / 30, 0.1),
+        },
+        "by_category": {k: len(v) for k, v in by_category.items()},
+        "age_distribution": age_buckets,
+        "top_labels": dict(label_counts.most_common(20)),
+        "stale_candidates": [
+            {"number": a["number"], "title": a["title"][:80], "stale_days": a["stale_days"]}
+            for a in sorted(very_stale, key=lambda x: x["stale_days"], reverse=True)[:20]
+        ],
+        "category_detail": {
+            k: [{"number": a["number"], "title": a["title"][:80], "stale_days": a["stale_days"]}
+                for a in sorted(v, key=lambda x: x["stale_days"], reverse=True)[:10]]
+            for k, v in by_category.items()
+        },
+    }
+
+
+# ---------------------------------------------------------------------------
+# Markdown report
+# ---------------------------------------------------------------------------
+
+def to_markdown(report: dict) -> str:
+    s = report["summary"]
+    lines = [
+        f"# Issue Backlog Report — {report['repo']}",
+        "",
+        f"Generated: {report['generated_at'][:16]}",
+        "",
+        "## Summary",
+        "",
+        "| Metric | Value |",
+        "|--------|-------|",
+        f"| Open issues | {s['open_issues']} |",
+        f"| Stale (>60d) | {s['stale_60d']} |",
+        f"| Very stale (>180d) | {s['very_stale_180d']} |",
+        f"| Closed last 30d | {s['closed_last_30d']} |",
+        f"| Estimated burn days | {s['estimated_burn_days']:.0f} |",
+        "",
+        "## By Category",
+        "",
+        "| Category | Count |",
+        "|----------|-------|",
+    ]
+    for cat, count in sorted(report["by_category"].items(), key=lambda x: -x[1]):
+        lines.append(f"| {cat} | {count} |")
+
+    lines.extend(["", "## Age Distribution", "", "| Age | Count |", "|-----|-------|"])
+    for bucket, count in report["age_distribution"].items():
+        lines.append(f"| {bucket} | {count} |")
+
+    if report["stale_candidates"]:
+        lines.extend(["", "## Stale Candidates (closure review)", ""])
+        for sc in report["stale_candidates"][:15]:
+            lines.append(f"- #{sc['number']}: {sc['title']} (stale {sc['stale_days']}d)")
+
+    lines.extend(["", "## Top Labels", ""])
+    for label, count in list(report["top_labels"].items())[:10]:
+        lines.append(f"- {label}: {count}")
+
+    return "\n".join(lines)
+
+
+# ---------------------------------------------------------------------------
+# CLI
+# ---------------------------------------------------------------------------
+
+def main():
+    import argparse
+    parser = argparse.ArgumentParser(description="Issue Backlog Manager")
+    parser.add_argument("repo", help="Repository name (e.g., timmy-home)")
+    parser.add_argument("--json", action="store_true", help="JSON output")
+    parser.add_argument("--stale", type=int, default=60, help="Stale threshold in days")
+    parser.add_argument("--close-dry", action="store_true", help="Show close candidates (dry run)")
+    args = parser.parse_args()
+
+    token = _load_token()
+    report = generate_triage_report(args.repo, token)
+
+    if args.json:
+        print(json.dumps(report, indent=2, default=str))
+    else:
+        print(to_markdown(report))
+
+
+if __name__ == "__main__":
+    main()

tests/test_issue_backlog_manager.py

@@ -0,0 +1,123 @@
+"""Tests for issue backlog manager."""
+
+import json
+from datetime import datetime, timezone, timedelta
+from unittest.mock import patch, MagicMock
+
+import pytest
+import sys
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).parent.parent / "bin"))
+from issue_backlog_manager import analyze_issue, to_markdown
+
+
+@pytest.fixture
+def sample_issue():
+    return {
+        "number": 1234,
+        "title": "[BUG] Fix crash on startup",
+        "labels": [{"name": "bug"}, {"name": "p1"}],
+        "assignees": [{"login": "timmy"}],
+        "created_at": "2025-01-01T00:00:00Z",
+        "updated_at": "2025-06-01T00:00:00Z",
+        "body": "Fixes #999",
+        "html_url": "https://forge.example.com/...",
+    }
+
+
+class TestAnalyzeIssue:
+    def test_categorizes_bug(self, sample_issue):
+        now = datetime(2026, 4, 14, tzinfo=timezone.utc)
+        result = analyze_issue(sample_issue, now)
+        assert result["inferred_category"] == "bug"
+
+    def test_categorizes_feature(self, sample_issue):
+        sample_issue["title"] = "feat: Add new widget"
+        now = datetime(2026, 4, 14, tzinfo=timezone.utc)
+        result = analyze_issue(sample_issue, now)
+        assert result["inferred_category"] == "feature"
+
+    def test_categorizes_docs(self, sample_issue):
+        sample_issue["title"] = "docs: Update README"
+        now = datetime(2026, 4, 14, tzinfo=timezone.utc)
+        result = analyze_issue(sample_issue, now)
+        assert result["inferred_category"] == "docs"
+
+    def test_categorizes_training_data(self, sample_issue):
+        sample_issue["title"] = "Some issue"
+        sample_issue["labels"] = [{"name": "batch-pipeline"}]
+        now = datetime(2026, 4, 14, tzinfo=timezone.utc)
+        result = analyze_issue(sample_issue, now)
+        assert result["inferred_category"] == "training-data"
+
+    def test_detects_staleness(self, sample_issue):
+        # Updated 300 days ago
+        sample_issue["updated_at"] = "2025-06-01T00:00:00Z"
+        now = datetime(2026, 4, 14, tzinfo=timezone.utc)
+        result = analyze_issue(sample_issue, now)
+        assert result["is_stale"] is True
+        assert result["stale_days"] > 200
+
+    def test_detects_not_stale(self, sample_issue):
+        sample_issue["updated_at"] = "2026-04-10T00:00:00Z"
+        now = datetime(2026, 4, 14, tzinfo=timezone.utc)
+        result = analyze_issue(sample_issue, now)
+        assert result["is_stale"] is False
+
+    def test_age_days(self, sample_issue):
+        sample_issue["created_at"] = "2026-01-01T00:00:00Z"
+        now = datetime(2026, 4, 14, tzinfo=timezone.utc)
+        result = analyze_issue(sample_issue, now)
+        assert result["age_days"] > 100
+
+    def test_has_assignee(self, sample_issue):
+        now = datetime(2026, 4, 14, tzinfo=timezone.utc)
+        result = analyze_issue(sample_issue, now)
+        assert result["has_assignee"] is True
+
+    def test_no_assignee(self, sample_issue):
+        sample_issue["assignees"] = []
+        now = datetime(2026, 4, 14, tzinfo=timezone.utc)
+        result = analyze_issue(sample_issue, now)
+        assert result["has_assignee"] is False
+
+    def test_extracts_number(self, sample_issue):
+        now = datetime(2026, 4, 14, tzinfo=timezone.utc)
+        result = analyze_issue(sample_issue, now)
+        assert result["number"] == 1234
+
+
+class TestMarkdownReport:
+    def test_has_summary_section(self):
+        report = {
+            "repo": "test-repo",
+            "generated_at": "2026-04-14T00:00:00",
+            "summary": {"open_issues": 100, "stale_60d": 20, "very_stale_180d": 5,
+                        "closed_last_30d": 15, "estimated_burn_days": 200},
+            "by_category": {"bug": 30, "feature": 40},
+            "age_distribution": {"<7d": 10, "7-30d": 20, "30-90d": 30, "90-180d": 25, ">180d": 15},
+            "stale_candidates": [],
+            "top_labels": {"bug": 30, "feature": 40},
+            "category_detail": {},
+        }
+        md = to_markdown(report)
+        assert "# Issue Backlog Report" in md
+        assert "100" in md  # open issues
+        assert "bug" in md.lower()
+
+    def test_shows_stale_candidates(self):
+        report = {
+            "repo": "test",
+            "generated_at": "2026-04-14",
+            "summary": {"open_issues": 1, "stale_60d": 1, "very_stale_180d": 1,
+                        "closed_last_30d": 0, "estimated_burn_days": 999},
+            "by_category": {},
+            "age_distribution": {},
+            "stale_candidates": [{"number": 99, "title": "Old issue", "stale_days": 500}],
+            "top_labels": {},
+            "category_detail": {},
+        }
+        md = to_markdown(report)
+        assert "#99" in md
+        assert "500" in md