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Timmy
70941f74fb feat: Issue backlog manager for triage automation (#1459)
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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.
2026-04-14 21:58:51 -04:00
4 changed files with 410 additions and 564 deletions

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@@ -1,354 +0,0 @@
#!/usr/bin/env python3
"""
Backlog Manager for timmy-home
Issue #1459: process: Address timmy-home backlog (220 open issues - highest in org)
Tools for managing the timmy-home backlog:
1. Triage issues (assign labels, assignees)
2. Identify stale issues
3. Generate reports
4. Bulk operations
"""
import json
import os
import sys
import urllib.request
from datetime import datetime, timedelta
from typing import Dict, List, Any, Optional
# Configuration
GITEA_BASE = "https://forge.alexanderwhitestone.com/api/v1"
TOKEN_PATH = os.path.expanduser("~/.config/gitea/token")
ORG = "Timmy_Foundation"
REPO = "timmy-home"
class BacklogManager:
def __init__(self):
self.token = self._load_token()
def _load_token(self) -> str:
"""Load Gitea API token."""
try:
with open(TOKEN_PATH, "r") as f:
return f.read().strip()
except FileNotFoundError:
print(f"ERROR: Token not found at {TOKEN_PATH}")
sys.exit(1)
def _api_request(self, endpoint: str, method: str = "GET", data: Optional[Dict] = None) -> Any:
"""Make authenticated Gitea API request."""
url = f"{GITEA_BASE}{endpoint}"
headers = {
"Authorization": f"token {self.token}",
"Content-Type": "application/json"
}
req = urllib.request.Request(url, headers=headers, method=method)
if data:
req.data = json.dumps(data).encode()
try:
with urllib.request.urlopen(req) as resp:
if resp.status == 204: # No content
return {"status": "success", "code": resp.status}
return json.loads(resp.read())
except urllib.error.HTTPError as e:
error_body = e.read().decode() if e.fp else "No error body"
print(f"API Error {e.code}: {error_body}")
return {"error": e.code, "message": error_body}
def get_open_issues(self, limit: int = 100) -> List[Dict]:
"""Get open issues from timmy-home."""
endpoint = f"/repos/{ORG}/{REPO}/issues?state=open&limit={limit}"
issues = self._api_request(endpoint)
return issues if isinstance(issues, list) else []
def get_issue_details(self, issue_number: int) -> Optional[Dict]:
"""Get detailed information about an issue."""
endpoint = f"/repos/{ORG}/{REPO}/issues/{issue_number}"
return self._api_request(endpoint)
def get_labels(self) -> List[Dict]:
"""Get all labels for the repository."""
endpoint = f"/repos/{ORG}/{REPO}/labels"
labels = self._api_request(endpoint)
return labels if isinstance(labels, list) else []
def add_label_to_issue(self, issue_number: int, label: str) -> bool:
"""Add a label to an issue."""
endpoint = f"/repos/{ORG}/{REPO}/issues/{issue_number}/labels"
data = {"labels": [label]}
result = self._api_request(endpoint, "POST", data)
return "error" not in result
def assign_issue(self, issue_number: int, assignee: str) -> bool:
"""Assign an issue to a user."""
endpoint = f"/repos/{ORG}/{REPO}/issues/{issue_number}"
data = {"assignees": [assignee]}
result = self._api_request(endpoint, "PATCH", data)
return "error" not in result
def close_issue(self, issue_number: int, comment: str = "") -> bool:
"""Close an issue."""
endpoint = f"/repos/{ORG}/{REPO}/issues/{issue_number}"
data = {"state": "closed"}
if comment:
# First add a comment
comment_endpoint = f"/repos/{ORG}/{REPO}/issues/{issue_number}/comments"
comment_data = {"body": comment}
self._api_request(comment_endpoint, "POST", comment_data)
result = self._api_request(endpoint, "PATCH", data)
return "error" not in result
def analyze_backlog(self) -> Dict[str, Any]:
"""Analyze the timmy-home backlog."""
print("Analyzing timmy-home backlog...")
# Get all open issues
issues = self.get_open_issues(limit=300) # Get more than 220 to be safe
analysis = {
"total_open": len(issues),
"with_labels": 0,
"without_labels": 0,
"with_assignee": 0,
"without_assignee": 0,
"stale_issues": [], # Issues older than 30 days
"recent_issues": [], # Issues from last 7 days
"by_label": {},
"by_assignee": {},
"unlabeled_unassigned": []
}
thirty_days_ago = datetime.now() - timedelta(days=30)
seven_days_ago = datetime.now() - timedelta(days=7)
for issue in issues:
# Check labels
labels = [l['name'] for l in issue.get('labels', [])]
if labels:
analysis["with_labels"] += 1
for label in labels:
analysis["by_label"][label] = analysis["by_label"].get(label, 0) + 1
else:
analysis["without_labels"] += 1
# Check assignee
assignee = issue.get('assignee')
if assignee:
analysis["with_assignee"] += 1
assignee_name = assignee['login']
analysis["by_assignee"][assignee_name] = analysis["by_assignee"].get(assignee_name, 0) + 1
else:
analysis["without_assignee"] += 1
# Check age
created_at = datetime.fromisoformat(issue['created_at'].replace('Z', '+00:00'))
if created_at < thirty_days_ago:
analysis["stale_issues"].append({
"number": issue['number'],
"title": issue['title'],
"created": issue['created_at'],
"labels": labels,
"assignee": assignee['login'] if assignee else None
})
if created_at > seven_days_ago:
analysis["recent_issues"].append({
"number": issue['number'],
"title": issue['title'],
"created": issue['created_at']
})
# Track unlabeled and unassigned
if not labels and not assignee:
analysis["unlabeled_unassigned"].append({
"number": issue['number'],
"title": issue['title'],
"created": issue['created_at']
})
return analysis
def generate_report(self, analysis: Dict[str, Any]) -> str:
"""Generate a backlog analysis report."""
report = f"# timmy-home Backlog Analysis Report\n\n"
report += f"Generated: {datetime.now().isoformat()}\n\n"
report += "## Summary\n"
report += f"- **Total open issues:** {analysis['total_open']}\n"
report += f"- **With labels:** {analysis['with_labels']}\n"
report += f"- **Without labels:** {analysis['without_labels']}\n"
report += f"- **With assignee:** {analysis['with_assignee']}\n"
report += f"- **Without assignee:** {analysis['without_assignee']}\n"
report += f"- **Stale issues (>30 days):** {len(analysis['stale_issues'])}\n"
report += f"- **Recent issues (<7 days):** {len(analysis['recent_issues'])}\n"
report += f"- **Unlabeled & unassigned:** {len(analysis['unlabeled_unassigned'])}\n\n"
report += "## Label Distribution\n"
if analysis['by_label']:
for label, count in sorted(analysis['by_label'].items(), key=lambda x: x[1], reverse=True):
report += f"- **{label}:** {count} issues\n"
else:
report += "- No labels found\n"
report += "\n## Assignee Distribution\n"
if analysis['by_assignee']:
for assignee, count in sorted(analysis['by_assignee'].items(), key=lambda x: x[1], reverse=True):
report += f"- **@{assignee}:** {count} issues\n"
else:
report += "- No assignees found\n"
if analysis['stale_issues']:
report += "\n## Stale Issues (>30 days old)\n"
for issue in analysis['stale_issues'][:10]: # Show first 10
report += f"- **#{issue['number']}**: {issue['title']}\n"
report += f" - Created: {issue['created']}\n"
report += f" - Labels: {', '.join(issue['labels']) if issue['labels'] else 'None'}\n"
report += f" - Assignee: {issue['assignee'] or 'None'}\n"
if analysis['unlabeled_unassigned']:
report += "\n## Unlabeled & Unassigned Issues\n"
for issue in analysis['unlabeled_unassigned'][:10]: # Show first 10
report += f"- **#{issue['number']}**: {issue['title']}\n"
report += f" - Created: {issue['created']}\n"
report += "\n## Recommendations\n"
if analysis['without_labels'] > 0:
report += f"1. **Add labels to {analysis['without_labels']} issues** - Categorize for better management\n"
if analysis['without_assignee'] > 0:
report += f"2. **Assign owners to {analysis['without_assignee']} issues** - Ensure accountability\n"
if len(analysis['stale_issues']) > 0:
report += f"3. **Review {len(analysis['stale_issues'])} stale issues** - Close or re-prioritize\n"
if len(analysis['unlabeled_unassigned']) > 0:
report += f"4. **Triage {len(analysis['unlabeled_unassigned'])} unlabeled/unassigned issues** - Basic triage needed\n"
return report
def bulk_add_labels(self, issue_numbers: List[int], label: str) -> Dict[str, Any]:
"""Bulk add a label to multiple issues."""
results = {"success": [], "failed": []}
for issue_number in issue_numbers:
if self.add_label_to_issue(issue_number, label):
results["success"].append(issue_number)
else:
results["failed"].append(issue_number)
return results
def bulk_assign_issues(self, issue_assignments: Dict[int, str]) -> Dict[str, Any]:
"""Bulk assign issues to users."""
results = {"success": [], "failed": []}
for issue_number, assignee in issue_assignments.items():
if self.assign_issue(issue_number, assignee):
results["success"].append(issue_number)
else:
results["failed"].append(issue_number)
return results
def bulk_close_stale_issues(self, days: int = 90, comment: str = "") -> Dict[str, Any]:
"""Bulk close issues older than specified days."""
issues = self.get_open_issues(limit=300)
cutoff_date = datetime.now() - timedelta(days=days)
stale_issues = []
for issue in issues:
created_at = datetime.fromisoformat(issue['created_at'].replace('Z', '+00:00'))
if created_at < cutoff_date:
stale_issues.append(issue['number'])
results = {"success": [], "failed": [], "total": len(stale_issues)}
if not comment:
comment = f"Closed as stale (>{days} days old). Reopen if still relevant."
for issue_number in stale_issues:
if self.close_issue(issue_number, comment):
results["success"].append(issue_number)
else:
results["failed"].append(issue_number)
return results
def main():
"""Main entry point for backlog manager."""
import argparse
parser = argparse.ArgumentParser(description="timmy-home Backlog Manager")
parser.add_argument("--analyze", action="store_true", help="Analyze backlog")
parser.add_argument("--report", action="store_true", help="Generate report")
parser.add_argument("--add-label", nargs=2, metavar=("ISSUE", "LABEL"), help="Add label to issue")
parser.add_argument("--assign", nargs=2, metavar=("ISSUE", "ASSIGNEE"), help="Assign issue")
parser.add_argument("--close", nargs=1, metavar=("ISSUE",), help="Close issue")
parser.add_argument("--bulk-label", nargs=2, metavar=("LABEL", "ISSUES"), help="Bulk add label (comma-separated issue numbers)")
parser.add_argument("--bulk-close-stale", type=int, metavar=("DAYS",), help="Close issues older than DAYS")
args = parser.parse_args()
manager = BacklogManager()
if args.analyze or args.report:
analysis = manager.analyze_backlog()
if args.report:
report = manager.generate_report(analysis)
print(report)
else:
print(f"Backlog Analysis:")
print(f" Total open issues: {analysis['total_open']}")
print(f" With labels: {analysis['with_labels']}")
print(f" Without labels: {analysis['without_labels']}")
print(f" With assignee: {analysis['with_assignee']}")
print(f" Without assignee: {analysis['without_assignee']}")
print(f" Stale issues (>30 days): {len(analysis['stale_issues'])}")
print(f" Unlabeled & unassigned: {len(analysis['unlabeled_unassigned'])}")
elif args.add_label:
issue_number, label = args.add_label
if manager.add_label_to_issue(int(issue_number), label):
print(f"✅ Added label '{label}' to issue #{issue_number}")
else:
print(f"❌ Failed to add label to issue #{issue_number}")
elif args.assign:
issue_number, assignee = args.assign
if manager.assign_issue(int(issue_number), assignee):
print(f"✅ Assigned issue #{issue_number} to @{assignee}")
else:
print(f"❌ Failed to assign issue #{issue_number}")
elif args.close:
issue_number = args.close[0]
if manager.close_issue(int(issue_number)):
print(f"✅ Closed issue #{issue_number}")
else:
print(f"❌ Failed to close issue #{issue_number}")
elif args.bulk_label:
label, issues_str = args.bulk_label
issue_numbers = [int(n.strip()) for n in issues_str.split(",")]
results = manager.bulk_add_labels(issue_numbers, label)
print(f"Bulk label results:")
print(f" Success: {len(results['success'])} issues")
print(f" Failed: {len(results['failed'])} issues")
elif args.bulk_close_stale:
days = args.bulk_close_stale
results = manager.bulk_close_stale_issues(days)
print(f"Bulk close stale issues (>{days} days):")
print(f" Total: {results['total']}")
print(f" Success: {len(results['success'])}")
print(f" Failed: {len(results['failed'])}")
else:
parser.print_help()
if __name__ == "__main__":
main()

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#!/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()

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@@ -1,210 +0,0 @@
# timmy-home Backlog Manager
**Issue:** #1459 - process: Address timmy-home backlog (220 open issues - highest in org)
## Problem
timmy-home has 220 open issues, the highest in the organization. This creates:
- Difficulty finding relevant issues
- No clear ownership or prioritization
- Stale issues cluttering the backlog
- Poor issue management
## Solution
### Backlog Manager Tool (`bin/backlog_manager.py`)
Comprehensive tool for managing the timmy-home backlog:
**Features:**
1. **Analyze backlog** - Get statistics and insights
2. **Generate reports** - Detailed markdown reports
3. **Bulk operations** - Add labels, assign issues, close stale issues
4. **Triage support** - Identify unlabeled/unassigned issues
## Usage
### Analyze Backlog
```bash
# Quick analysis
python bin/backlog_manager.py --analyze
# Generate detailed report
python bin/backlog_manager.py --report
```
### Triage Issues
```bash
# Add label to issue
python bin/backlog_manager.py --add-label 123 "bug"
# Assign issue to user
python bin/backlog_manager.py --assign 123 @username
# Close issue
python bin/backlog_manager.py --close 123
```
### Bulk Operations
```bash
# Add label to multiple issues
python bin/backlog_manager.py --bulk-label "bug" "123,456,789"
# Close stale issues (>90 days)
python bin/backlog_manager.py --bulk-close-stale 90
```
## Analysis Results
### Current State (Example)
```
Backlog Analysis:
Total open issues: 220
With labels: 45
Without labels: 175
With assignee: 30
Without assignee: 190
Stale issues (>30 days): 85
Unlabeled & unassigned: 150
```
### Label Distribution
- **bug:** 15 issues
- **feature:** 20 issues
- **docs:** 10 issues
### Assignee Distribution
- **@user1:** 10 issues
- **@user2:** 8 issues
- **@user3:** 7 issues
## Recommendations
Based on analysis:
1. **Add labels to 175 issues** - Categorize for better management
2. **Assign owners to 190 issues** - Ensure accountability
3. **Review 85 stale issues** - Close or re-prioritize
4. **Triage 150 unlabeled/unassigned issues** - Basic triage needed
## Triage Process
### Step 1: Analyze
```bash
python bin/backlog_manager.py --analyze
```
### Step 2: Triage Unlabeled Issues
```bash
# Add labels to unlabeled issues
python bin/backlog_manager.py --bulk-label "needs-triage" "1,2,3,4,5"
```
### Step 3: Assign Owners
```bash
# Assign issues to team members
python bin/backlog_manager.py --assign 123 @username
```
### Step 4: Close Stale Issues
```bash
# Close issues older than 90 days
python bin/backlog_manager.py --bulk-close-stale 90
```
## Integration with CI/CD
### Automated Triage (Future)
Add to CI pipeline:
```yaml
- name: Triage new issues
run: |
python bin/backlog_manager.py --add-label $ISSUE_NUMBER "needs-triage"
python bin/backlog_manager.py --assign $ISSUE_NUMBER @default-assignee
```
### Regular Cleanup
Schedule regular cleanup:
```bash
# Daily: Close stale issues
0 0 * * * cd /path/to/repo && python bin/backlog_manager.py --bulk-close-stale 90
# Weekly: Generate report
0 0 * * 0 cd /path/to/repo && python bin/backlog_manager.py --report > backlog-report-$(date +%Y%m%d).md
```
## Example Report
```markdown
# timmy-home Backlog Analysis Report
Generated: 2026-04-15T05:30:00
## Summary
- **Total open issues:** 220
- **With labels:** 45
- **Without labels:** 175
- **With assignee:** 30
- **Without assignee:** 190
- **Stale issues (>30 days):** 85
- **Recent issues (<7 days):** 15
- **Unlabeled & unassigned:** 150
## Label Distribution
- **bug:** 15 issues
- **feature:** 20 issues
- **docs:** 10 issues
## Assignee Distribution
- **@user1:** 10 issues
- **@user2:** 8 issues
- **@user3:** 7 issues
## Stale Issues (>30 days old)
- **#123**: Old feature request
- Created: 2026-01-15
- Labels: None
- Assignee: None
## Unlabeled & Unassigned Issues
- **#456**: New bug report
- Created: 2026-04-10
## Recommendations
1. **Add labels to 175 issues** - Categorize for better management
2. **Assign owners to 190 issues** - Ensure accountability
3. **Review 85 stale issues** - Close or re-prioritize
4. **Triage 150 unlabeled/unassigned issues** - Basic triage needed
```
## Related Issues
- **Issue #1459:** This implementation
- **Issue #1127:** Perplexity Evening Pass triage (identified backlog issue)
## Files
- `bin/backlog_manager.py` - Backlog management tool
- `docs/backlog-manager.md` - This documentation
## Conclusion
This tool provides comprehensive backlog management for timmy-home:
- **Analysis** - Understand backlog composition
- **Triage** - Categorize and assign issues
- **Cleanup** - Close stale issues
- **Reporting** - Track progress over time
**Use this tool regularly to keep the backlog manageable.**
## License
Part of the Timmy Foundation project.

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"""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