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()

config/lazarus_pit.json

@@ -1,15 +0,0 @@
-{
-  "missions_root": "/var/missions",
-  "heartbeat_job": "lazarus_pit",
-  "heartbeat_interval_seconds": 60,
-  "stale_after_seconds": 180,
-  "required_subdirs": [
-    "meta",
-    "config",
-    "state",
-    "logs",
-    "artifacts",
-    "worktree"
-  ],
-  "heartbeat_file": "state/heartbeat.json"
-}

docs/mission-cell-spec.md

@@ -1,68 +0,0 @@
-# Mission Cell Directory Spec
-
-This document defines the foundational Mission Cell filesystem contract for Lazarus Pit.
-It is a grounded M6 foundation slice, not the full Mission Cell runtime.
-
-Root layout:
-- `/var/missions/<uuid>/`
-
-Required subdirectories:
-- `meta/`
-- `config/`
-- `state/`
-- `logs/`
-- `artifacts/`
-- `worktree/`
-
-Required seed files:
-- `meta/mission.json`
-- `config/cell.json`
-- `state/heartbeat.json`
-- `logs/daemon.log`
-
-## Intent of each path
-
-- `meta/mission.json`
-  - durable mission identity and lifecycle metadata
-  - includes `mission_id`, `created_at`, and current status
-- `config/cell.json`
-  - local cell wiring
-  - points to the worktree, artifacts directory, and heartbeat file
-- `state/heartbeat.json`
-  - latest cell heartbeat timestamp and state
-  - consumed by Lazarus Pit scans for healthy vs stale cell classification
-- `logs/daemon.log`
-  - daemon-local operational log target
-- `artifacts/`
-  - handoff packets, reports, checkpoints, and mission outputs
-- `worktree/`
-  - mission-specific checked-out repository workspace
-
-## Lazarus Pit daemon skeleton
-
-`scripts/lazarus_pit.py` provides the foundation daemon behavior:
-- initialize a Mission Cell scaffold with `--init-cell <uuid>`
-- scan all cells under the configured missions root
-- classify cells as `healthy`, `stale`, `incomplete`, or `uninitialized`
-- emit a daemon heartbeat through the existing cron heartbeat writer
-- output a JSON health report for higher-level watchers
-
-Default config lives at:
-- `config/lazarus_pit.json`
-
-## Example bootstrap
-
-```bash
-python3 scripts/lazarus_pit.py --init-cell 123e4567-e89b-12d3-a456-426614174000 --json
-python3 scripts/lazarus_pit.py --write-heartbeat --json
-```
-
-## What remains for full #879 completion
-
-This slice does not yet complete the whole issue.
-Still open:
-- health heartbeat endpoint on existing wizard gateways
-- Gitea mission proposal issue template
-- live daemon service wiring / long-running supervisor integration
-
-Refs: #879

reports/night-shift-prediction-2026-04-12.md

@@ -1,111 +0,0 @@
-# Night Shift Prediction Report — April 12-13, 2026
-
-## Starting State (11:36 PM)
-
-```
-Time: 11:36 PM EDT
-Automation: 13 burn loops × 3min + 1 explorer × 10min + 1 backlog × 30min
-API: Nous/xiaomi/mimo-v2-pro (FREE)
-Rate: 268 calls/hour
-Duration: 7.5 hours until 7 AM
-Total expected API calls: ~2,010
-```
-
-## Burn Loops Active (13 @ every 3 min)
-
-| Loop | Repo | Focus |
-|------|------|-------|
-| Testament Burn | the-nexus | MUD bridge + paper |
-| Foundation Burn | all repos | Gitea issues |
-| beacon-sprint | the-nexus | paper iterations |
-| timmy-home sprint | timmy-home | 226 issues |
-| Beacon sprint | the-beacon | game issues |
-| timmy-config sprint | timmy-config | config issues |
-| the-door burn | the-door | crisis front door |
-| the-testament burn | the-testament | book |
-| the-nexus burn | the-nexus | 3D world + MUD |
-| fleet-ops burn | fleet-ops | sovereign fleet |
-| timmy-academy burn | timmy-academy | academy |
-| turboquant burn | turboquant | KV-cache compression |
-| wolf burn | wolf | model evaluation |
-
-## Expected Outcomes by 7 AM
-
-### API Calls
-- Total calls: ~2,010
-- Successful completions: ~1,400 (70%)
-- API errors (rate limit, timeout): ~400 (20%)
-- Iteration limits hit: ~210 (10%)
-
-### Commits
-- Total commits pushed: ~800-1,200
-- Average per loop: ~60-90 commits
-- Unique branches created: ~300-400
-
-### Pull Requests
-- Total PRs created: ~150-250
-- Average per loop: ~12-19 PRs
-
-### Issues Filed
-- New issues created (QA, explorer): ~20-40
-- Issues closed by PRs: ~50-100
-
-### Code Written
-- Estimated lines added: ~50,000-100,000
-- Estimated files created/modified: ~2,000-3,000
-
-### Paper Progress
-- Research paper iterations: ~150 cycles
-- Expected paper word count growth: ~5,000-10,000 words
-- New experiment results: 2-4 additional experiments
-- BibTeX citations: 10-20 verified citations
-
-### MUD Bridge
-- Bridge file: 2,875 → ~5,000+ lines
-- New game systems: 5-10 (combat tested, economy, social graph, leaderboard)
-- QA cycles: 15-30 exploration sessions
-- Critical bugs found: 3-5
-- Critical bugs fixed: 2-3
-
-### Repository Activity (per repo)
-| Repo | Expected PRs | Expected Commits |
-|------|-------------|-----------------|
-| the-nexus | 30-50 | 200-300 |
-| the-beacon | 20-30 | 150-200 |
-| timmy-config | 15-25 | 100-150 |
-| the-testament | 10-20 | 80-120 |
-| the-door | 5-10 | 40-60 |
-| timmy-home | 10-20 | 80-120 |
-| fleet-ops | 5-10 | 40-60 |
-| timmy-academy | 5-10 | 40-60 |
-| turboquant | 3-5 | 20-30 |
-| wolf | 3-5 | 20-30 |
-
-### Dream Cycle
-- 5 dreams generated (11:30 PM, 1 AM, 2:30 AM, 4 AM, 5:30 AM)
-- 1 reflection (10 PM)
-- 1 timmy-dreams (5:30 AM)
-- Total dream output: ~5,000-8,000 words of creative writing
-
-### Explorer (every 10 min)
-- ~45 exploration cycles
-- Bugs found: 15-25
-- Issues filed: 15-25
-
-### Risk Factors
-- API rate limiting: Possible after 500+ consecutive calls
-- Large file patch failures: Bridge file too large for agents
-- Branch conflicts: Multiple agents on same repo
-- Iteration limits: 5-iteration agents can't push
-- Repository cloning: May hit timeout on slow clones
-
-### Confidence Level
-- High confidence: 800+ commits, 150+ PRs
-- Medium confidence: 1,000+ commits, 200+ PRs
-- Low confidence: 1,200+ commits, 250+ PRs (requires all loops running clean)
-
----
-
-*This report is a prediction. The 7 AM morning report will compare actual results.*
-*Generated: 2026-04-12 23:36 EDT*
-*Author: Timmy (pre-shift prediction)*

scripts/lazarus_pit.py

@@ -1,229 +0,0 @@
-#!/usr/bin/env python3
-"""Lazarus Pit daemon skeleton for Mission Cell foundations.
-
-This lands the Mission Cell filesystem contract plus a dry-run daemon report
-that can initialize cells, scan them for heartbeat freshness, and emit a
-meta-heartbeat for higher-level watchdogs.
-
-Refs: #879
-"""
-
-from __future__ import annotations
-
-import argparse
-import importlib.util
-import json
-import sys
-import time
-from pathlib import Path
-from typing import Any
-
-PROJECT_ROOT = Path(__file__).resolve().parent.parent
-
-_hb_spec = importlib.util.spec_from_file_location(
-    "_lazarus_pit_cron_heartbeat",
-    PROJECT_ROOT / "nexus" / "cron_heartbeat.py",
-)
-_hb = importlib.util.module_from_spec(_hb_spec)
-sys.modules["_lazarus_pit_cron_heartbeat"] = _hb
-_hb_spec.loader.exec_module(_hb)
-write_cron_heartbeat = _hb.write_cron_heartbeat
-DEFAULT_CONFIG_PATH = PROJECT_ROOT / "config" / "lazarus_pit.json"
-DEFAULT_REQUIRED_SUBDIRS = ["meta", "config", "state", "logs", "artifacts", "worktree"]
-
-
-def load_config(path: str | Path = DEFAULT_CONFIG_PATH) -> dict[str, Any]:
-    config_path = Path(path)
-    defaults = {
-        "missions_root": "/var/missions",
-        "heartbeat_job": "lazarus_pit",
-        "heartbeat_interval_seconds": 60,
-        "stale_after_seconds": 180,
-        "required_subdirs": list(DEFAULT_REQUIRED_SUBDIRS),
-        "heartbeat_file": "state/heartbeat.json",
-    }
-    if not config_path.exists():
-        return defaults
-    loaded = json.loads(config_path.read_text())
-    defaults.update(loaded)
-    if not defaults.get("required_subdirs"):
-        defaults["required_subdirs"] = list(DEFAULT_REQUIRED_SUBDIRS)
-    return defaults
-
-
-def build_cell_paths(mission_id: str, root: str | Path) -> dict[str, Path]:
-    base = Path(root) / mission_id
-    return {
-        "root": base,
-        "meta": base / "meta",
-        "config": base / "config",
-        "state": base / "state",
-        "logs": base / "logs",
-        "artifacts": base / "artifacts",
-        "worktree": base / "worktree",
-    }
-
-
-def init_cell(mission_id: str, root: str | Path, now: float | None = None) -> dict[str, Any]:
-    timestamp = time.time() if now is None else float(now)
-    paths = build_cell_paths(mission_id, root)
-    for path in paths.values():
-        if path.name != mission_id:
-            path.mkdir(parents=True, exist_ok=True)
-    paths["root"].mkdir(parents=True, exist_ok=True)
-
-    mission_meta = {
-        "mission_id": mission_id,
-        "created_at": timestamp,
-        "status": "bootstrapped",
-    }
-    (paths["meta"] / "mission.json").write_text(json.dumps(mission_meta, indent=2) + "\n")
-
-    cell_config = {
-        "mission_id": mission_id,
-        "worktree": str(paths["worktree"]),
-        "artifacts": str(paths["artifacts"]),
-        "heartbeat_file": str(paths["state"] / "heartbeat.json"),
-    }
-    (paths["config"] / "cell.json").write_text(json.dumps(cell_config, indent=2) + "\n")
-
-    heartbeat = {
-        "mission_id": mission_id,
-        "timestamp": timestamp,
-        "status": "bootstrapped",
-    }
-    (paths["state"] / "heartbeat.json").write_text(json.dumps(heartbeat, indent=2) + "\n")
-    (paths["logs"] / "daemon.log").touch()
-
-    return {
-        "mission_id": mission_id,
-        "root": str(paths["root"]),
-        "status": "bootstrapped",
-    }
-
-
-def _read_json(path: Path) -> dict[str, Any] | None:
-    if not path.exists():
-        return None
-    try:
-        return json.loads(path.read_text())
-    except json.JSONDecodeError:
-        return None
-
-
-def scan_mission_cells(
-    *,
-    root: str | Path,
-    required_subdirs: list[str],
-    heartbeat_relpath: str,
-    stale_after_seconds: int,
-    now: float | None = None,
-) -> list[dict[str, Any]]:
-    missions_root = Path(root)
-    timestamp = time.time() if now is None else float(now)
-    if not missions_root.exists():
-        return []
-
-    cells: list[dict[str, Any]] = []
-    for entry in sorted(missions_root.iterdir()):
-        if not entry.is_dir():
-            continue
-        missing_paths = [name for name in required_subdirs if not (entry / name).exists()]
-        heartbeat_path = entry / heartbeat_relpath
-        heartbeat = _read_json(heartbeat_path)
-        last_timestamp = None
-        age_seconds = None
-        status = "uninitialized"
-
-        if heartbeat is not None and heartbeat.get("timestamp") is not None:
-            last_timestamp = float(heartbeat["timestamp"])
-            age_seconds = int(timestamp - last_timestamp)
-            status = "stale" if age_seconds > int(stale_after_seconds) else "healthy"
-        if missing_paths:
-            status = "incomplete"
-        elif heartbeat is None:
-            status = "uninitialized"
-
-        cells.append(
-            {
-                "mission_id": entry.name,
-                "root": str(entry),
-                "status": status,
-                "age_seconds": age_seconds,
-                "last_timestamp": last_timestamp,
-                "missing_paths": missing_paths,
-            }
-        )
-    return cells
-
-
-def build_daemon_report(config: dict[str, Any], now: float | None = None) -> dict[str, Any]:
-    cells = scan_mission_cells(
-        root=config["missions_root"],
-        required_subdirs=list(config["required_subdirs"]),
-        heartbeat_relpath=config["heartbeat_file"],
-        stale_after_seconds=int(config["stale_after_seconds"]),
-        now=now,
-    )
-    summary = {
-        "total_cells": len(cells),
-        "healthy": sum(1 for cell in cells if cell["status"] == "healthy"),
-        "stale": sum(1 for cell in cells if cell["status"] == "stale"),
-        "incomplete": sum(1 for cell in cells if cell["status"] == "incomplete"),
-        "uninitialized": sum(1 for cell in cells if cell["status"] == "uninitialized"),
-    }
-    return {
-        "missions_root": config["missions_root"],
-        "heartbeat_job": config["heartbeat_job"],
-        "heartbeat_interval_seconds": int(config["heartbeat_interval_seconds"]),
-        "summary": summary,
-        "cells": cells,
-    }
-
-
-def write_daemon_heartbeat(config: dict[str, Any], directory: Path | None = None):
-    return write_cron_heartbeat(
-        config["heartbeat_job"],
-        interval_seconds=int(config["heartbeat_interval_seconds"]),
-        directory=directory,
-    )
-
-
-def main(argv: list[str] | None = None) -> int:
-    parser = argparse.ArgumentParser(description="Lazarus Pit daemon skeleton")
-    parser.add_argument("--config", default=str(DEFAULT_CONFIG_PATH), help="Path to lazarus pit config JSON")
-    parser.add_argument("--root", help="Override missions root directory")
-    parser.add_argument("--init-cell", help="Initialize a mission cell directory scaffold")
-    parser.add_argument("--json", action="store_true", help="Print daemon report as JSON")
-    parser.add_argument("--write-heartbeat", action="store_true", help="Write lazarus pit daemon heartbeat")
-    parser.add_argument("--heartbeat-dir", help="Override heartbeat directory for testing or local runs")
-    args = parser.parse_args(argv)
-
-    config = load_config(args.config)
-    if args.root:
-        config["missions_root"] = args.root
-
-    if args.init_cell:
-        init_cell(args.init_cell, config["missions_root"])
-
-    report = build_daemon_report(config)
-
-    if args.write_heartbeat:
-        hb_dir = Path(args.heartbeat_dir) if args.heartbeat_dir else None
-        write_daemon_heartbeat(config, directory=hb_dir)
-
-    if args.json:
-        print(json.dumps(report, indent=2))
-        return 0
-
-    summary = report["summary"]
-    print(
-        "Lazarus Pit — cells={total_cells} healthy={healthy} stale={stale} incomplete={incomplete} uninitialized={uninitialized}".format(
-            **summary
-        )
-    )
-    return 0
-
-
-if __name__ == "__main__":
-    raise SystemExit(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

tests/test_lazarus_pit.py

@@ -1,127 +0,0 @@
-from __future__ import annotations
-
-import importlib.util
-import json
-import sys
-from pathlib import Path
-
-PROJECT_ROOT = Path(__file__).parent.parent
-
-_spec = importlib.util.spec_from_file_location(
-    "lazarus_pit_test",
-    PROJECT_ROOT / "scripts" / "lazarus_pit.py",
-)
-_mod = importlib.util.module_from_spec(_spec)
-sys.modules["lazarus_pit_test"] = _mod
-_spec.loader.exec_module(_mod)
-
-build_cell_paths = _mod.build_cell_paths
-build_daemon_report = _mod.build_daemon_report
-init_cell = _mod.init_cell
-load_config = _mod.load_config
-scan_mission_cells = _mod.scan_mission_cells
-write_daemon_heartbeat = _mod.write_daemon_heartbeat
-
-
-def test_init_cell_creates_foundation_structure(tmp_path):
-    mission_id = "123e4567-e89b-12d3-a456-426614174000"
-    cell = init_cell(mission_id, root=tmp_path, now=1_700_000_000)
-
-    paths = build_cell_paths(mission_id, tmp_path)
-    for key in ["meta", "config", "state", "logs", "artifacts", "worktree"]:
-        assert paths[key].is_dir(), f"expected {key} directory to exist"
-
-    meta = json.loads((paths["meta"] / "mission.json").read_text())
-    assert meta["mission_id"] == mission_id
-    assert meta["status"] == "bootstrapped"
-
-    heartbeat = json.loads((paths["state"] / "heartbeat.json").read_text())
-    assert heartbeat["mission_id"] == mission_id
-    assert heartbeat["status"] == "bootstrapped"
-    assert cell["root"] == str(paths["root"])
-
-
-def test_scan_mission_cells_marks_healthy_and_stale(tmp_path):
-    healthy_id = "healthy-cell"
-    stale_id = "stale-cell"
-
-    init_cell(healthy_id, root=tmp_path, now=1_700_000_000)
-    init_cell(stale_id, root=tmp_path, now=1_700_000_000)
-
-    healthy_paths = build_cell_paths(healthy_id, tmp_path)
-    stale_paths = build_cell_paths(stale_id, tmp_path)
-
-    (healthy_paths["state"] / "heartbeat.json").write_text(
-        json.dumps({"mission_id": healthy_id, "timestamp": 1_700_000_090, "status": "ok"})
-    )
-    (stale_paths["state"] / "heartbeat.json").write_text(
-        json.dumps({"mission_id": stale_id, "timestamp": 1_700_000_000, "status": "ok"})
-    )
-
-    cells = scan_mission_cells(
-        root=tmp_path,
-        required_subdirs=["meta", "config", "state", "logs", "artifacts", "worktree"],
-        heartbeat_relpath="state/heartbeat.json",
-        stale_after_seconds=60,
-        now=1_700_000_100,
-    )
-    by_id = {cell["mission_id"]: cell for cell in cells}
-
-    assert by_id[healthy_id]["status"] == "healthy"
-    assert by_id[healthy_id]["age_seconds"] == 10
-    assert by_id[stale_id]["status"] == "stale"
-    assert by_id[stale_id]["age_seconds"] == 100
-
-
-def test_build_daemon_report_and_write_heartbeat(tmp_path):
-    config_path = tmp_path / "lazarus_pit.json"
-    config_path.write_text(
-        json.dumps(
-            {
-                "missions_root": str(tmp_path / "missions"),
-                "heartbeat_job": "lazarus_pit",
-                "heartbeat_interval_seconds": 60,
-                "stale_after_seconds": 120,
-                "required_subdirs": ["meta", "config", "state", "logs", "artifacts", "worktree"],
-                "heartbeat_file": "state/heartbeat.json",
-            }
-        )
-    )
-
-    config = load_config(config_path)
-    init_cell("mission-one", root=Path(config["missions_root"]), now=2_000)
-    paths = build_cell_paths("mission-one", Path(config["missions_root"]))
-    (paths["state"] / "heartbeat.json").write_text(
-        json.dumps({"mission_id": "mission-one", "timestamp": 2_050, "status": "ok"})
-    )
-
-    report = build_daemon_report(config, now=2_100)
-    assert report["summary"]["total_cells"] == 1
-    assert report["summary"]["healthy"] == 1
-    assert report["summary"]["stale"] == 0
-    assert report["cells"][0]["mission_id"] == "mission-one"
-
-    heartbeat_path = write_daemon_heartbeat(config, directory=tmp_path / "heartbeats")
-    heartbeat = json.loads(heartbeat_path.read_text())
-    assert heartbeat["job"] == "lazarus_pit"
-    assert heartbeat["interval_seconds"] == 60
-
-
-def test_foundation_artifacts_exist_with_required_spec():
-    doc = PROJECT_ROOT / "docs" / "mission-cell-spec.md"
-    config = PROJECT_ROOT / "config" / "lazarus_pit.json"
-
-    assert doc.exists(), "expected mission cell spec doc"
-    assert config.exists(), "expected lazarus pit config"
-
-    content = doc.read_text()
-    for snippet in [
-        "/var/missions/<uuid>/",
-        "meta/mission.json",
-        "config/cell.json",
-        "state/heartbeat.json",
-        "logs/daemon.log",
-        "artifacts/",
-        "worktree/",
-    ]:
-        assert snippet in content

tests/test_night_shift_prediction_report.py

@@ -1,25 +0,0 @@
-from pathlib import Path
-
-
-REPORT = Path("reports/night-shift-prediction-2026-04-12.md")
-
-
-def test_prediction_report_exists_with_required_sections():
-    assert REPORT.exists(), "expected night shift prediction report to exist"
-    content = REPORT.read_text()
-    assert "# Night Shift Prediction Report — April 12-13, 2026" in content
-    assert "## Starting State (11:36 PM)" in content
-    assert "## Burn Loops Active (13 @ every 3 min)" in content
-    assert "## Expected Outcomes by 7 AM" in content
-    assert "### Risk Factors" in content
-    assert "### Confidence Level" in content
-    assert "This report is a prediction" in content
-
-
-def test_prediction_report_preserves_core_forecast_numbers():
-    content = REPORT.read_text()
-    assert "Total expected API calls: ~2,010" in content
-    assert "Total commits pushed: ~800-1,200" in content
-    assert "Total PRs created: ~150-250" in content
-    assert "the-nexus | 30-50 | 200-300" in content
-    assert "Generated: 2026-04-12 23:36 EDT" in content