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1 Commits
burn/1459-
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fix/issue-
| Author | SHA1 | Date | |
|---|---|---|---|
|
169b2c119b |
@@ -1,287 +0,0 @@
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#!/usr/bin/env python3
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"""
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Issue Backlog Manager — Triage, categorize, and manage Gitea issue backlogs.
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Generates reports, identifies stale issues, suggests closures, and provides
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actionable triage recommendations.
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Usage:
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python bin/issue_backlog_manager.py timmy-home # Full report
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python bin/issue_backlog_manager.py timmy-home --stale 90 # Issues stale >90 days
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python bin/issue_backlog_manager.py timmy-home --close-dry # Dry-run close candidates
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python bin/issue_backlog_manager.py timmy-home --json # JSON output
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"""
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import json
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import os
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import re
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import sys
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from collections import Counter, defaultdict
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from datetime import datetime, timedelta, timezone
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from pathlib import Path
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from typing import Any
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try:
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import urllib.request
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except ImportError:
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print("Error: urllib required")
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sys.exit(1)
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# ---------------------------------------------------------------------------
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# Config
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# ---------------------------------------------------------------------------
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GITEA_BASE = os.environ.get("GITEA_API_BASE", "https://forge.alexanderwhitestone.com/api/v1")
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TOKEN_PATH = os.environ.get("GITEA_TOKEN_PATH", str(Path.home() / ".config/gitea/token"))
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ORG = "Timmy_Foundation"
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def _load_token() -> str:
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try:
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return open(TOKEN_PATH).read().strip()
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except FileNotFoundError:
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print(f"Token not found at {TOKEN_PATH}", file=sys.stderr)
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sys.exit(1)
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def api_get(path: str, token: str) -> Any:
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req = urllib.request.Request(f"{GITEA_BASE}{path}")
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req.add_header("Authorization", f"token {token}")
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return json.loads(urllib.request.urlopen(req, timeout=30).read())
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# ---------------------------------------------------------------------------
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# Issue fetching
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# ---------------------------------------------------------------------------
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def fetch_all_open_issues(repo: str, token: str) -> list[dict]:
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"""Fetch all open issues for a repo (paginated)."""
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issues = []
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page = 1
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while True:
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batch = api_get(f"/repos/{ORG}/{repo}/issues?state=open&limit=100&page={page}", token)
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if not batch:
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break
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# Filter out PRs
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real = [i for i in batch if not i.get("pull_request")]
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issues.extend(real)
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if len(batch) < 100:
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break
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page += 1
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return issues
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def fetch_recently_closed(repo: str, token: str, days: int = 30) -> list[dict]:
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"""Fetch recently closed issues (for velocity analysis)."""
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since = (datetime.now(timezone.utc) - timedelta(days=days)).strftime("%Y-%m-%dT%H:%M:%SZ")
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issues = []
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page = 1
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while True:
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batch = api_get(
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f"/repos/{ORG}/{repo}/issues?state=closed&limit=100&page={page}&since={since}",
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token
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)
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if not batch:
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break
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real = [i for i in batch if not i.get("pull_request")]
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issues.extend(real)
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if len(batch) < 100:
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break
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page += 1
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return issues
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# ---------------------------------------------------------------------------
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# Analysis
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# ---------------------------------------------------------------------------
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def analyze_issue(issue: dict, now: datetime) -> dict:
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"""Analyze a single issue for triage signals."""
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created = datetime.fromisoformat(issue["created_at"].replace("Z", "+00:00"))
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updated = datetime.fromisoformat(issue["updated_at"].replace("Z", "+00:00"))
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age_days = (now - created).days
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stale_days = (now - updated).days
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labels = [l["name"] for l in issue.get("labels", [])]
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has_assignee = bool(issue.get("assignees"))
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has_pr_ref = bool(re.search(r"#\d+|PR|pull", issue.get("body", ""), re.IGNORECASE))
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# Staleness signals
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is_stale = stale_days > 60
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is_very_stale = stale_days > 180
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# Category inference from title
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title = issue.get("title", "").lower()
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if any(k in title for k in ("[bug]", "fix:", "broken", "crash", "regression")):
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inferred_category = "bug"
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elif any(k in title for k in ("feat:", "[feat]", "add", "implement", "feature")):
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inferred_category = "feature"
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elif any(k in title for k in ("docs:", "documentation", "readme")):
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inferred_category = "docs"
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elif any(k in title for k in ("[rca]", "root cause", "investigation")):
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inferred_category = "rca"
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elif any(k in title for k in ("[big-brain]", "benchmark", "research")):
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inferred_category = "research"
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elif any(k in title for k in ("[infra]", "deploy", "cron", "watchdog", "ci")):
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inferred_category = "infra"
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elif any(k in title for k in ("[security]", "shield", "injection")):
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inferred_category = "security"
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elif any(k in title for k in ("triage", "backlog", "process", "audit")):
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inferred_category = "process"
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elif "batch-pipeline" in labels:
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inferred_category = "training-data"
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else:
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inferred_category = "other"
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return {
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"number": issue["number"],
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"title": issue["title"],
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"labels": labels,
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"has_assignee": has_assignee,
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"age_days": age_days,
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"stale_days": stale_days,
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"is_stale": is_stale,
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"is_very_stale": is_very_stale,
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"inferred_category": inferred_category,
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"url": issue.get("html_url", ""),
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}
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def generate_triage_report(repo: str, token: str) -> dict:
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"""Generate a full triage report for a repo."""
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now = datetime.now(timezone.utc)
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# Fetch data
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open_issues = fetch_all_open_issues(repo, token)
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closed_recent = fetch_recently_closed(repo, token, days=30)
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# Analyze
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analyzed = [analyze_issue(i, now) for i in open_issues]
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# Categories
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by_category = defaultdict(list)
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for a in analyzed:
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by_category[a["inferred_category"]].append(a)
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# Staleness
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stale = [a for a in analyzed if a["is_stale"]]
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very_stale = [a for a in analyzed if a["is_very_stale"]]
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# Label distribution
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label_counts = Counter()
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for a in analyzed:
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for l in a["labels"]:
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label_counts[l] += 1
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# Age distribution
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age_buckets = {"<7d": 0, "7-30d": 0, "30-90d": 0, "90-180d": 0, ">180d": 0}
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for a in analyzed:
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d = a["age_days"]
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if d < 7:
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age_buckets["<7d"] += 1
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elif d < 30:
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age_buckets["7-30d"] += 1
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elif d < 90:
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age_buckets["30-90d"] += 1
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elif d < 180:
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age_buckets["90-180d"] += 1
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else:
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age_buckets[">180d"] += 1
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# Velocity
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velocity_30d = len(closed_recent)
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return {
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"repo": repo,
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"generated_at": now.isoformat(),
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"summary": {
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"open_issues": len(open_issues),
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"stale_60d": len(stale),
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"very_stale_180d": len(very_stale),
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"closed_last_30d": velocity_30d,
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"estimated_burn_days": len(open_issues) / max(velocity_30d / 30, 0.1),
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},
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"by_category": {k: len(v) for k, v in by_category.items()},
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"age_distribution": age_buckets,
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"top_labels": dict(label_counts.most_common(20)),
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"stale_candidates": [
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{"number": a["number"], "title": a["title"][:80], "stale_days": a["stale_days"]}
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for a in sorted(very_stale, key=lambda x: x["stale_days"], reverse=True)[:20]
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],
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"category_detail": {
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k: [{"number": a["number"], "title": a["title"][:80], "stale_days": a["stale_days"]}
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for a in sorted(v, key=lambda x: x["stale_days"], reverse=True)[:10]]
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for k, v in by_category.items()
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},
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}
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# ---------------------------------------------------------------------------
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# Markdown report
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# ---------------------------------------------------------------------------
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def to_markdown(report: dict) -> str:
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s = report["summary"]
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lines = [
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f"# Issue Backlog Report — {report['repo']}",
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"",
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f"Generated: {report['generated_at'][:16]}",
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"",
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"## Summary",
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"",
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"| Metric | Value |",
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"|--------|-------|",
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f"| Open issues | {s['open_issues']} |",
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f"| Stale (>60d) | {s['stale_60d']} |",
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f"| Very stale (>180d) | {s['very_stale_180d']} |",
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f"| Closed last 30d | {s['closed_last_30d']} |",
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f"| Estimated burn days | {s['estimated_burn_days']:.0f} |",
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"",
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"## By Category",
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"",
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"| Category | Count |",
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"|----------|-------|",
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]
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for cat, count in sorted(report["by_category"].items(), key=lambda x: -x[1]):
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lines.append(f"| {cat} | {count} |")
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lines.extend(["", "## Age Distribution", "", "| Age | Count |", "|-----|-------|"])
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for bucket, count in report["age_distribution"].items():
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lines.append(f"| {bucket} | {count} |")
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if report["stale_candidates"]:
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lines.extend(["", "## Stale Candidates (closure review)", ""])
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for sc in report["stale_candidates"][:15]:
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lines.append(f"- #{sc['number']}: {sc['title']} (stale {sc['stale_days']}d)")
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lines.extend(["", "## Top Labels", ""])
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for label, count in list(report["top_labels"].items())[:10]:
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lines.append(f"- {label}: {count}")
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return "\n".join(lines)
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# ---------------------------------------------------------------------------
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# CLI
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# ---------------------------------------------------------------------------
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def main():
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import argparse
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parser = argparse.ArgumentParser(description="Issue Backlog Manager")
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parser.add_argument("repo", help="Repository name (e.g., timmy-home)")
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parser.add_argument("--json", action="store_true", help="JSON output")
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parser.add_argument("--stale", type=int, default=60, help="Stale threshold in days")
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parser.add_argument("--close-dry", action="store_true", help="Show close candidates (dry run)")
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args = parser.parse_args()
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token = _load_token()
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report = generate_triage_report(args.repo, token)
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if args.json:
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print(json.dumps(report, indent=2, default=str))
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else:
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print(to_markdown(report))
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if __name__ == "__main__":
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main()
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@@ -29,7 +29,7 @@ from typing import Any, Callable, Optional
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import websockets
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from bannerlord_trace import BannerlordTraceLogger
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from nexus.bannerlord_trace import BannerlordTraceLogger
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# ═══════════════════════════════════════════════════════════════════════════
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# CONFIGURATION
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@@ -49,6 +49,62 @@ def strip_ansi(text: str) -> str:
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return ANSI_RE.sub("", text or "")
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def clean_lines(text: str) -> list[str]:
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"""Clean ANSI codes and split text into non-empty lines."""
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text = strip_ansi(text).replace("\r", "")
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return [line.strip() for line in text.split("\n") if line.strip()]
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def parse_room_output(text: str) -> dict | None:
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"""Parse Evennia room output into structured data."""
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lines = clean_lines(text)
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if len(lines) < 2:
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return None
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title = lines[0]
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desc = lines[1]
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exits = []
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objects = []
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for line in lines[2:]:
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if line.startswith("Exits:"):
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raw = line.split(":", 1)[1].strip().replace(" and ", ", ")
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exits = [{"key": t.strip(), "destination_id": t.strip().title(), "destination_key": t.strip().title()} for t in raw.split(",") if t.strip()]
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elif line.startswith("You see:"):
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raw = line.split(":", 1)[1].strip().replace(" and ", ", ")
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parts = [t.strip() for t in raw.split(",") if t.strip()]
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objects = [{"id": p.removeprefix("a ").removeprefix("an "), "key": p.removeprefix("a ").removeprefix("an "), "short_desc": p} for p in parts]
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return {"title": title, "desc": desc, "exits": exits, "objects": objects}
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def normalize_event(raw: dict, hermes_session_id: str) -> list[dict]:
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"""Normalize raw Evennia event into Nexus event format."""
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from nexus.evennia_event_adapter import (
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actor_located, command_issued, command_result,
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room_snapshot, session_bound,
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)
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out = []
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event = raw.get("event")
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actor = raw.get("actor", "Timmy")
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timestamp = raw.get("timestamp")
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if event == "connect":
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out.append(session_bound(hermes_session_id, evennia_account=actor, evennia_character=actor, timestamp=timestamp))
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parsed = parse_room_output(raw.get("output", ""))
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if parsed:
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out.append(actor_located(actor, parsed["title"], parsed["title"], timestamp=timestamp))
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out.append(room_snapshot(parsed["title"], parsed["title"], parsed["desc"], exits=parsed["exits"], objects=parsed["objects"], timestamp=timestamp))
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elif event == "command":
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cmd = raw.get("command", "")
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output = raw.get("output", "")
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out.append(command_issued(hermes_session_id, actor, cmd, timestamp=timestamp))
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success = not output.startswith("Command '") and not output.startswith("Could not find")
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out.append(command_result(hermes_session_id, actor, cmd, strip_ansi(output), success=success, timestamp=timestamp))
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parsed = parse_room_output(output)
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if parsed:
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out.append(actor_located(actor, parsed["title"], parsed["title"], timestamp=timestamp))
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out.append(room_snapshot(parsed["title"], parsed["title"], parsed["desc"], exits=parsed["exits"], objects=parsed["objects"], timestamp=timestamp))
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return out
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||||
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class LogTailer:
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"""Async file tailer that yields new lines as they appear."""
|
||||
|
||||
@@ -183,56 +239,6 @@ async def live_bridge(log_dir: str, ws_url: str, reconnect_delay: float = 5.0):
|
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async def playback(log_path: Path, ws_url: str):
|
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"""Legacy mode: replay a telemetry JSONL file."""
|
||||
from nexus.evennia_event_adapter import (
|
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actor_located, command_issued, command_result,
|
||||
room_snapshot, session_bound,
|
||||
)
|
||||
|
||||
def clean_lines(text: str) -> list[str]:
|
||||
text = strip_ansi(text).replace("\r", "")
|
||||
return [line.strip() for line in text.split("\n") if line.strip()]
|
||||
|
||||
def parse_room_output(text: str):
|
||||
lines = clean_lines(text)
|
||||
if len(lines) < 2:
|
||||
return None
|
||||
title = lines[0]
|
||||
desc = lines[1]
|
||||
exits = []
|
||||
objects = []
|
||||
for line in lines[2:]:
|
||||
if line.startswith("Exits:"):
|
||||
raw = line.split(":", 1)[1].strip().replace(" and ", ", ")
|
||||
exits = [{"key": t.strip(), "destination_id": t.strip().title(), "destination_key": t.strip().title()} for t in raw.split(",") if t.strip()]
|
||||
elif line.startswith("You see:"):
|
||||
raw = line.split(":", 1)[1].strip().replace(" and ", ", ")
|
||||
parts = [t.strip() for t in raw.split(",") if t.strip()]
|
||||
objects = [{"id": p.removeprefix("a ").removeprefix("an "), "key": p.removeprefix("a ").removeprefix("an "), "short_desc": p} for p in parts]
|
||||
return {"title": title, "desc": desc, "exits": exits, "objects": objects}
|
||||
|
||||
def normalize_event(raw: dict, hermes_session_id: str) -> list[dict]:
|
||||
out = []
|
||||
event = raw.get("event")
|
||||
actor = raw.get("actor", "Timmy")
|
||||
timestamp = raw.get("timestamp")
|
||||
if event == "connect":
|
||||
out.append(session_bound(hermes_session_id, evennia_account=actor, evennia_character=actor, timestamp=timestamp))
|
||||
parsed = parse_room_output(raw.get("output", ""))
|
||||
if parsed:
|
||||
out.append(actor_located(actor, parsed["title"], parsed["title"], timestamp=timestamp))
|
||||
out.append(room_snapshot(parsed["title"], parsed["title"], parsed["desc"], exits=parsed["exits"], objects=parsed["objects"], timestamp=timestamp))
|
||||
elif event == "command":
|
||||
cmd = raw.get("command", "")
|
||||
output = raw.get("output", "")
|
||||
out.append(command_issued(hermes_session_id, actor, cmd, timestamp=timestamp))
|
||||
success = not output.startswith("Command '") and not output.startswith("Could not find")
|
||||
out.append(command_result(hermes_session_id, actor, cmd, strip_ansi(output), success=success, timestamp=timestamp))
|
||||
parsed = parse_room_output(output)
|
||||
if parsed:
|
||||
out.append(actor_located(actor, parsed["title"], parsed["title"], timestamp=timestamp))
|
||||
out.append(room_snapshot(parsed["title"], parsed["title"], parsed["desc"], exits=parsed["exits"], objects=parsed["objects"], timestamp=timestamp))
|
||||
return out
|
||||
|
||||
hermes_session_id = log_path.stem
|
||||
async with websockets.connect(ws_url) as ws:
|
||||
for line in log_path.read_text(encoding="utf-8").splitlines():
|
||||
|
||||
@@ -1,123 +0,0 @@
|
||||
"""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
|
||||
Reference in New Issue
Block a user