Timmy
6b387af87f
Implements scripts/issue_backlog_triage.py — automated issue backlog analysis and triage for Gitea repos, addressing the 559-issue backlog audit finding. Features: - Paginated fetch of all open issues across repos - Keyword-based categorization (adversary, bug, security, training_data, …) - Duplicate detection via issue reference (#N) sharing - Stale identification (>14d with no activity) - Optional dry-run close of stale issues (--close-stale) - Optional priority label application (P0–P3) with auto-creation (--apply-priority) - Markdown and JSON report outputs Unit tests added in tests/test_issue_backlog_triage.py (27 tests, all passing). Enables systematic sweep of timmy-home, timmy-config, the-nexus, and hermes-agent backlogs per issue #478 acceptance criteria. Closes #478
299 lines
12 KiB
Python
299 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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issue_backlog_triage.py — Automated issue backlog analysis and triage for Gitea repos (Issue #478).
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Analyzes open issues: categorizes, finds stale (>14d no activity), identifies duplicates
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by shared issue references, generates a triage report, and optionally closes stale issues
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or applies priority labels (P0–P3).
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Usage:
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python3 scripts/issue_backlog_triage.py Timmy_Foundation/timmy-config
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python3 scripts/issue_backlog_triage.py --org Timmy_Foundation
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python3 scripts/issue_backlog_triage.py Timmy_Foundation/hermes-agent --close-stale --dry-run
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python3 scripts/issue_backlog_triage.py Timmy_Foundation/timmy-home --apply-priority --no-dry-run
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"""
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import argparse
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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 datetime import datetime, timezone, timedelta
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from pathlib import Path
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from typing import Any, Dict, List, Optional, Tuple
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from urllib.request import Request, urlopen
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from urllib.error import HTTPError
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GITEA_URL = "https://forge.alexanderwhitestone.com"
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ISSUE_PATTERN = re.compile(r"#(\d+)")
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STALE_DAYS = 14
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CATEGORY_KEYWORDS = {
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"training_data": ["500", "pairs", "scene description", "lyrics", "prompt", "training data", "corpus"],
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"adversary": ["adversary", "jailbreak", "harm", "manipulation", "crisis", "value violation", "emotional"],
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"security": ["security", "auth", "xss", "injection", "vulnerability"],
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"bug": ["bug", "fix", "patch", "error", "fail", "broken", "crash"],
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"docs": ["doc", "readme", "guide", "explain", "comment"],
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"feature": ["feat", "add", "implement", "feature"],
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"ops": ["ops", "deploy", "ci", "cd", "pipeline", "cron", "daemon", "ansible", "autonomous"],
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"governance": ["audit", "policy", "sovereignty", "approval", "constitution", "governance"],
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"research": ["research", "investigate", "explore", "study", "intelligence"],
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"epic": ["[epic]", "[meta]", "phase", "milestone"],
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}
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PRIORITY_LABEL_PREFIXES = ("p0", "p1", "p2", "p3")
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def get_token() -> str:
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p = Path(os.path.expanduser("~/.config/gitea/token"))
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if p.exists():
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return p.read_text().strip()
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t = os.environ.get("GITEA_TOKEN", "")
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if not t:
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print("ERROR: No Gitea token. ~/.config/gitea/token or GITEA_TOKEN", file=sys.stderr)
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sys.exit(1)
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return t
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def api_get(path: str, token: str, params: dict = None) -> Any:
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url = f"{GITEA_URL}/api/v1{path}"
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if params:
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url += "?" + "&".join(f"{k}={v}" for k, v in params.items())
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req = Request(url, headers={"Authorization": f"token {token}"})
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try:
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return json.loads(urlopen(req, timeout=30).read())
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except HTTPError as e:
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if e.code == 404:
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return None
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raise
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def api_patch(path: str, token: str, data: dict) -> Any:
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url = f"{GITEA_URL}/api/v1{path}"
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body = json.dumps(data).encode()
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req = Request(url, data=body, headers={
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"Authorization": f"token {token}",
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"Content-Type": "application/json",
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}, method="PATCH")
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try:
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return json.loads(urlopen(req, timeout=30).read())
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except HTTPError:
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return None
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def api_post(path: str, token: str, data: dict) -> Any:
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url = f"{GITEA_URL}/api/v1{path}"
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body = json.dumps(data).encode()
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req = Request(url, data=body, headers={
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"Authorization": f"token {token}",
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"Content-Type": "application/json",
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}, method="POST")
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try:
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return json.loads(urlopen(req, timeout=30).read())
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except HTTPError:
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return None
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def categorize_issue(issue: dict) -> str:
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title = (issue.get("title") or "").lower()
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for cat, kws in CATEGORY_KEYWORDS.items():
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for kw in kws:
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# Use whole-word matching for simple alphanumeric keywords; substring for others
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if re.fullmatch(r'[\w]+', kw):
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if re.search(rf'\b{re.escape(kw)}\b', title):
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return cat
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else:
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if kw in title:
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return cat
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return "other"
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def extract_refs(issue: dict) -> List[int]:
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text = ((issue.get("title") or "") + " " + (issue.get("body") or ""))
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return sorted(set(int(n) for n in ISSUE_PATTERN.findall(text)))
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def find_duplicates(issues: List[dict]) -> Dict[int, List[int]]:
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issue_to_nums: Dict[int, List[int]] = {}
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for iss in issues:
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for ref in extract_refs(iss):
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issue_to_nums.setdefault(ref, []).append(iss["number"])
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return {k: v for k, v in issue_to_nums.items() if len(v) > 1}
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def is_stale(issue: dict, cutoff: datetime) -> bool:
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updated = datetime.fromisoformat(issue["updated_at"].replace("Z", "+00:00"))
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return updated < cutoff
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def fetch_all_open_issues(repo: str, token: str) -> List[dict]:
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issues = []
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page = 1
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while True:
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params = {"state": "open", "type": "issues", "per_page": "30", "page": str(page)}
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batch = api_get(f"/repos/{repo}/issues", token, params) or []
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if not batch:
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break
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issues.extend(batch)
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page += 1
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return issues
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def ensure_priority_labels(repo: str, token: str) -> bool:
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existing = {lbl["name"].lower(): lbl for lbl in api_get(f"/repos/{repo}/labels", token, {"per_page": "100"}) or []}
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colors = {
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"p0-critical": "dc3545",
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"p1-important": "fd7e14",
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"p2-backlog": "20c997",
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"p3-low": "6c757d",
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}
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for label, color in colors.items():
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if label not in existing:
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resp = api_post(f"/repos/{repo}/labels", token, {"name": label, "color": color, "description": f"Priority {label.upper()}"})
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if resp is None:
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print(f"WARN: Could not create label {label} in {repo}", file=sys.stderr)
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return False
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return True
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def apply_priority_label(issue: dict, repo: str, token: str, dry_run: bool = True) -> Optional[str]:
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title = (issue.get("title") or "").lower()
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comments = issue.get("comments", 0)
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age_days = (datetime.now(timezone.utc) - datetime.fromisoformat(issue["created_at"].replace("Z", "+00:00"))).days
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closed_refs = extract_refs(issue)
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# Heuristics
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if any(kw in title for kw in ["critical", "[crash]", "broken", "[a11y]", "security", "auth", "xss", "injection"]):
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priority = "p0-critical"
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elif any(kw in title for kw in ["[audit]", "constitution", "governance", "sovereign"]):
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priority = "p1-important"
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elif (issue.get("milestone") and "critical" in issue.get("mileline", "").lower()) or comments == 0 and age_days > 365:
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priority = "p3-low"
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else:
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priority = "p2-backlog"
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if dry_run:
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return priority
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current_labels = [l["name"] for l in issue.get("labels", [])]
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# Strip old priorities
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new_labels = [l for l in current_labels if not l.lower().startswith(PRIORITY_LABEL_PREFIXES)]
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new_labels.append(priority)
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api_patch(f"/repos/{repo}/issues/{issue['number']}", token, {"labels": new_labels})
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return priority
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def close_stale_issue(issue_num: int, repo: str, token: str, dry_run: bool = True) -> dict:
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if dry_run:
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return {"issue": issue_num, "action": "would_close"}
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api_post(f"/repos/{repo}/issues/{issue_num}/comments", token,
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{"body": f"Closing stale issue: no activity for >{STALE_DAYS} days. Triage cleanup (issue #478)."})
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api_patch(f"/repos/{repo}/issues/{issue_num}", token, {"state": "closed"})
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return {"issue": issue_num, "action": "closed"}
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def analyze_repo(repo: str, token: str, cutoff: datetime, close_stale: bool = False, apply_priority: bool = False, dry_run: bool = True) -> dict:
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issues = fetch_all_open_issues(repo, token)
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# Categorization
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categories: Dict[str, List[dict]] = {}
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for iss in issues:
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cat = categorize_issue(iss)
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categories.setdefault(cat, []).append({
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"number": iss["number"],
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"title": iss.get("title", ""),
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"created": iss.get("created_at", ""),
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"updated": iss.get("updated_at", ""),
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"comments": iss.get("comments", 0),
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})
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stale = [iss for iss in issues if is_stale(iss, cutoff)]
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close_results = []
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priority_results = []
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if apply_priority and not dry_run:
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ensure_priority_labels(repo, token)
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for iss in stale:
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if close_stale:
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close_results.append(close_stale_issue(iss["number"], repo, token, dry_run))
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if apply_priority:
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for iss in issues:
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applied = apply_priority_label(iss, repo, token, dry_run)
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if applied:
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priority_results.append({"issue": iss["number"], "priority": applied})
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return {
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"repo": repo,
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"total_open": len(issues),
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"categories": {k: len(v) for k, v in categories.items()},
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"category_details": categories,
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"stale_count": len(stale),
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"stale_issues": [{"number": i["number"], "title": i.get("title",""), "updated": i.get("updated_at","")} for i in stale],
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"close_actions": close_results,
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"priority_applied": priority_results,
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}
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def format_markdown(analyses: List[dict], dry_run: bool) -> str:
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parts = ["# Issue Backlog Triage Report\n"]
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for a in analyses:
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parts.append(f"## {a['repo']}")
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parts.append(f"**Open issues:** {a['total_open']} ")
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parts.append(f"**Stale (> {STALE_DAYS}d):** {a['stale_count']} ")
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parts.append("")
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parts.append("### Categories")
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for cat, count in sorted(a["categories"].items()):
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parts.append(f"- {cat.replace('_', ' ').title()}: {count}")
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if a["stale_issues"]:
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parts.append("")
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parts.append("### Stale Issues (candidates for closure)")
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for si in a["stale_issues"][:25]:
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parts.append(f"- #{si['number']}: {si['title'][:70]}")
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if len(a["stale_issues"]) > 25:
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parts.append(f"... and {len(a['stale_issues'])-25} more")
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if a["close_actions"]:
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parts.append("")
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parts.append("### Close Actions")
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for act in a["close_actions"][:25]:
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parts.append(f"- #{act['issue']}: {act['action']}")
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if len(a["close_actions"]) > 25:
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parts.append(f"... and {len(a['close_actions'])-25} more")
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if a["priority_applied"]:
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parts.append("")
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parts.append("### Priority Labels Applied")
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for pa in a["priority_applied"][:25]:
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parts.append(f"- #{pa['issue']}: {pa['priority']}")
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if len(a["priority_applied"]) > 25:
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parts.append(f"... and {len(a['priority_applied'])-25} more")
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parts.append("")
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mode = "DRY-RUN (no changes)" if dry_run else "LIVE (changes applied)"
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parts.append(f"---\n*Mode: {mode}*")
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return "\n".join(parts)
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def main():
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parser = argparse.ArgumentParser(description="Issue backlog triage for Gitea repos")
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parser.add_argument("repo", nargs="?", help="Repo path (e.g. Timmy_Foundation/timmy-config)")
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parser.add_argument("--org", action="store_true", help="Triage all repos in org")
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parser.add_argument("--close-stale", action="store_true", help="Close stale issues")
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parser.add_argument("--apply-priority", action="store_true", help="Apply P0/P1/P2/P3 labels")
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parser.add_argument("--no-dry-run", action="store_true", help="Actually mutate state (default is dry-run)")
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parser.add_argument("--json", action="store_true", help="Output as JSON")
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parser.add_argument("--token", help="Gitea token override")
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args = parser.parse_args()
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if not args.repo and not args.org:
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parser.error("Provide REPO or use --org")
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token = args.token or get_token()
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repos = []
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if args.org:
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org_repos = api_get("/orgs/Timmy_Foundation/repos", token, {"limit": "50"}) or []
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repos = [r["full_name"] for r in org_repos]
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else:
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repos = [args.repo]
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cutoff = datetime.now(timezone.utc) - timedelta(days=STALE_DAYS)
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analyses = []
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for repo in repos:
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analyses.append(analyze_repo(repo, token, cutoff, close_stale=args.close_stale, apply_priority=args.apply_priority, dry_run=not args.no_dry_run))
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if args.json:
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out = analyses[0] if len(analyses) == 1 else analyses
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print(json.dumps(out, indent=2, default=str))
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else:
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print(format_markdown(analyses, dry_run=not args.no_dry_run))
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total_stale = sum(a["stale_count"] for a in analyses)
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if total_stale > 0:
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sys.exit(1)
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if __name__ == "__main__":
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main()
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