Compare commits
3 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| c1f02f0d8b | |||
| d72cf9a4fd | |||
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57bf47f724 |
@@ -1,354 +0,0 @@
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#!/usr/bin/env python3
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"""
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Backlog Manager for timmy-home
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Issue #1459: process: Address timmy-home backlog (220 open issues - highest in org)
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Tools for managing the timmy-home backlog:
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1. Triage issues (assign labels, assignees)
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2. Identify stale issues
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3. Generate reports
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4. Bulk operations
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"""
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import json
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import os
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import sys
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import urllib.request
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from datetime import datetime, timedelta
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from typing import Dict, List, Any, Optional
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# Configuration
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GITEA_BASE = "https://forge.alexanderwhitestone.com/api/v1"
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TOKEN_PATH = os.path.expanduser("~/.config/gitea/token")
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ORG = "Timmy_Foundation"
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REPO = "timmy-home"
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class BacklogManager:
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def __init__(self):
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self.token = self._load_token()
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def _load_token(self) -> str:
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"""Load Gitea API token."""
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try:
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with open(TOKEN_PATH, "r") as f:
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return f.read().strip()
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except FileNotFoundError:
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print(f"ERROR: Token not found at {TOKEN_PATH}")
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sys.exit(1)
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def _api_request(self, endpoint: str, method: str = "GET", data: Optional[Dict] = None) -> Any:
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"""Make authenticated Gitea API request."""
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url = f"{GITEA_BASE}{endpoint}"
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headers = {
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"Authorization": f"token {self.token}",
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"Content-Type": "application/json"
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}
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req = urllib.request.Request(url, headers=headers, method=method)
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if data:
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req.data = json.dumps(data).encode()
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try:
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with urllib.request.urlopen(req) as resp:
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if resp.status == 204: # No content
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return {"status": "success", "code": resp.status}
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return json.loads(resp.read())
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except urllib.error.HTTPError as e:
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error_body = e.read().decode() if e.fp else "No error body"
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print(f"API Error {e.code}: {error_body}")
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return {"error": e.code, "message": error_body}
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def get_open_issues(self, limit: int = 100) -> List[Dict]:
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"""Get open issues from timmy-home."""
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endpoint = f"/repos/{ORG}/{REPO}/issues?state=open&limit={limit}"
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issues = self._api_request(endpoint)
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return issues if isinstance(issues, list) else []
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def get_issue_details(self, issue_number: int) -> Optional[Dict]:
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"""Get detailed information about an issue."""
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endpoint = f"/repos/{ORG}/{REPO}/issues/{issue_number}"
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return self._api_request(endpoint)
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def get_labels(self) -> List[Dict]:
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"""Get all labels for the repository."""
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endpoint = f"/repos/{ORG}/{REPO}/labels"
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labels = self._api_request(endpoint)
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return labels if isinstance(labels, list) else []
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def add_label_to_issue(self, issue_number: int, label: str) -> bool:
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"""Add a label to an issue."""
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endpoint = f"/repos/{ORG}/{REPO}/issues/{issue_number}/labels"
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data = {"labels": [label]}
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result = self._api_request(endpoint, "POST", data)
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return "error" not in result
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def assign_issue(self, issue_number: int, assignee: str) -> bool:
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"""Assign an issue to a user."""
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endpoint = f"/repos/{ORG}/{REPO}/issues/{issue_number}"
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data = {"assignees": [assignee]}
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result = self._api_request(endpoint, "PATCH", data)
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return "error" not in result
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def close_issue(self, issue_number: int, comment: str = "") -> bool:
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"""Close an issue."""
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endpoint = f"/repos/{ORG}/{REPO}/issues/{issue_number}"
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data = {"state": "closed"}
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if comment:
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# First add a comment
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comment_endpoint = f"/repos/{ORG}/{REPO}/issues/{issue_number}/comments"
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comment_data = {"body": comment}
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self._api_request(comment_endpoint, "POST", comment_data)
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result = self._api_request(endpoint, "PATCH", data)
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return "error" not in result
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def analyze_backlog(self) -> Dict[str, Any]:
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"""Analyze the timmy-home backlog."""
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print("Analyzing timmy-home backlog...")
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# Get all open issues
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issues = self.get_open_issues(limit=300) # Get more than 220 to be safe
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analysis = {
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"total_open": len(issues),
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"with_labels": 0,
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"without_labels": 0,
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"with_assignee": 0,
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"without_assignee": 0,
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"stale_issues": [], # Issues older than 30 days
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"recent_issues": [], # Issues from last 7 days
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"by_label": {},
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"by_assignee": {},
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"unlabeled_unassigned": []
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}
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thirty_days_ago = datetime.now() - timedelta(days=30)
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seven_days_ago = datetime.now() - timedelta(days=7)
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for issue in issues:
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# Check labels
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labels = [l['name'] for l in issue.get('labels', [])]
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if labels:
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analysis["with_labels"] += 1
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for label in labels:
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analysis["by_label"][label] = analysis["by_label"].get(label, 0) + 1
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else:
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analysis["without_labels"] += 1
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# Check assignee
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assignee = issue.get('assignee')
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if assignee:
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analysis["with_assignee"] += 1
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assignee_name = assignee['login']
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analysis["by_assignee"][assignee_name] = analysis["by_assignee"].get(assignee_name, 0) + 1
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else:
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analysis["without_assignee"] += 1
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# Check age
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created_at = datetime.fromisoformat(issue['created_at'].replace('Z', '+00:00'))
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if created_at < thirty_days_ago:
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analysis["stale_issues"].append({
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"number": issue['number'],
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"title": issue['title'],
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"created": issue['created_at'],
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"labels": labels,
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"assignee": assignee['login'] if assignee else None
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})
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if created_at > seven_days_ago:
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analysis["recent_issues"].append({
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"number": issue['number'],
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"title": issue['title'],
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"created": issue['created_at']
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})
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# Track unlabeled and unassigned
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if not labels and not assignee:
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analysis["unlabeled_unassigned"].append({
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"number": issue['number'],
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"title": issue['title'],
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"created": issue['created_at']
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})
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return analysis
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def generate_report(self, analysis: Dict[str, Any]) -> str:
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"""Generate a backlog analysis report."""
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report = f"# timmy-home Backlog Analysis Report\n\n"
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report += f"Generated: {datetime.now().isoformat()}\n\n"
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report += "## Summary\n"
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report += f"- **Total open issues:** {analysis['total_open']}\n"
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report += f"- **With labels:** {analysis['with_labels']}\n"
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report += f"- **Without labels:** {analysis['without_labels']}\n"
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report += f"- **With assignee:** {analysis['with_assignee']}\n"
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report += f"- **Without assignee:** {analysis['without_assignee']}\n"
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report += f"- **Stale issues (>30 days):** {len(analysis['stale_issues'])}\n"
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report += f"- **Recent issues (<7 days):** {len(analysis['recent_issues'])}\n"
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report += f"- **Unlabeled & unassigned:** {len(analysis['unlabeled_unassigned'])}\n\n"
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report += "## Label Distribution\n"
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if analysis['by_label']:
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for label, count in sorted(analysis['by_label'].items(), key=lambda x: x[1], reverse=True):
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report += f"- **{label}:** {count} issues\n"
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else:
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report += "- No labels found\n"
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report += "\n## Assignee Distribution\n"
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if analysis['by_assignee']:
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for assignee, count in sorted(analysis['by_assignee'].items(), key=lambda x: x[1], reverse=True):
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report += f"- **@{assignee}:** {count} issues\n"
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else:
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report += "- No assignees found\n"
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if analysis['stale_issues']:
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report += "\n## Stale Issues (>30 days old)\n"
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for issue in analysis['stale_issues'][:10]: # Show first 10
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report += f"- **#{issue['number']}**: {issue['title']}\n"
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report += f" - Created: {issue['created']}\n"
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report += f" - Labels: {', '.join(issue['labels']) if issue['labels'] else 'None'}\n"
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report += f" - Assignee: {issue['assignee'] or 'None'}\n"
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if analysis['unlabeled_unassigned']:
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report += "\n## Unlabeled & Unassigned Issues\n"
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for issue in analysis['unlabeled_unassigned'][:10]: # Show first 10
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report += f"- **#{issue['number']}**: {issue['title']}\n"
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report += f" - Created: {issue['created']}\n"
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report += "\n## Recommendations\n"
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if analysis['without_labels'] > 0:
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report += f"1. **Add labels to {analysis['without_labels']} issues** - Categorize for better management\n"
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if analysis['without_assignee'] > 0:
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report += f"2. **Assign owners to {analysis['without_assignee']} issues** - Ensure accountability\n"
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if len(analysis['stale_issues']) > 0:
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report += f"3. **Review {len(analysis['stale_issues'])} stale issues** - Close or re-prioritize\n"
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if len(analysis['unlabeled_unassigned']) > 0:
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report += f"4. **Triage {len(analysis['unlabeled_unassigned'])} unlabeled/unassigned issues** - Basic triage needed\n"
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return report
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def bulk_add_labels(self, issue_numbers: List[int], label: str) -> Dict[str, Any]:
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"""Bulk add a label to multiple issues."""
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results = {"success": [], "failed": []}
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for issue_number in issue_numbers:
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if self.add_label_to_issue(issue_number, label):
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results["success"].append(issue_number)
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else:
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results["failed"].append(issue_number)
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return results
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def bulk_assign_issues(self, issue_assignments: Dict[int, str]) -> Dict[str, Any]:
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"""Bulk assign issues to users."""
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results = {"success": [], "failed": []}
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for issue_number, assignee in issue_assignments.items():
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if self.assign_issue(issue_number, assignee):
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results["success"].append(issue_number)
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else:
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results["failed"].append(issue_number)
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return results
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def bulk_close_stale_issues(self, days: int = 90, comment: str = "") -> Dict[str, Any]:
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"""Bulk close issues older than specified days."""
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issues = self.get_open_issues(limit=300)
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cutoff_date = datetime.now() - timedelta(days=days)
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stale_issues = []
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for issue in issues:
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created_at = datetime.fromisoformat(issue['created_at'].replace('Z', '+00:00'))
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if created_at < cutoff_date:
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stale_issues.append(issue['number'])
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results = {"success": [], "failed": [], "total": len(stale_issues)}
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if not comment:
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comment = f"Closed as stale (>{days} days old). Reopen if still relevant."
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for issue_number in stale_issues:
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if self.close_issue(issue_number, comment):
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results["success"].append(issue_number)
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else:
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results["failed"].append(issue_number)
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return results
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def main():
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"""Main entry point for backlog manager."""
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import argparse
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parser = argparse.ArgumentParser(description="timmy-home Backlog Manager")
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parser.add_argument("--analyze", action="store_true", help="Analyze backlog")
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parser.add_argument("--report", action="store_true", help="Generate report")
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parser.add_argument("--add-label", nargs=2, metavar=("ISSUE", "LABEL"), help="Add label to issue")
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parser.add_argument("--assign", nargs=2, metavar=("ISSUE", "ASSIGNEE"), help="Assign issue")
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parser.add_argument("--close", nargs=1, metavar=("ISSUE",), help="Close issue")
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parser.add_argument("--bulk-label", nargs=2, metavar=("LABEL", "ISSUES"), help="Bulk add label (comma-separated issue numbers)")
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parser.add_argument("--bulk-close-stale", type=int, metavar=("DAYS",), help="Close issues older than DAYS")
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args = parser.parse_args()
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manager = BacklogManager()
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if args.analyze or args.report:
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analysis = manager.analyze_backlog()
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if args.report:
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report = manager.generate_report(analysis)
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print(report)
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else:
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print(f"Backlog Analysis:")
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print(f" Total open issues: {analysis['total_open']}")
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print(f" With labels: {analysis['with_labels']}")
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print(f" Without labels: {analysis['without_labels']}")
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print(f" With assignee: {analysis['with_assignee']}")
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print(f" Without assignee: {analysis['without_assignee']}")
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print(f" Stale issues (>30 days): {len(analysis['stale_issues'])}")
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print(f" Unlabeled & unassigned: {len(analysis['unlabeled_unassigned'])}")
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elif args.add_label:
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issue_number, label = args.add_label
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if manager.add_label_to_issue(int(issue_number), label):
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print(f"✅ Added label '{label}' to issue #{issue_number}")
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else:
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print(f"❌ Failed to add label to issue #{issue_number}")
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elif args.assign:
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issue_number, assignee = args.assign
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if manager.assign_issue(int(issue_number), assignee):
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print(f"✅ Assigned issue #{issue_number} to @{assignee}")
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else:
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print(f"❌ Failed to assign issue #{issue_number}")
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elif args.close:
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issue_number = args.close[0]
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if manager.close_issue(int(issue_number)):
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print(f"✅ Closed issue #{issue_number}")
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else:
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print(f"❌ Failed to close issue #{issue_number}")
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elif args.bulk_label:
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label, issues_str = args.bulk_label
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issue_numbers = [int(n.strip()) for n in issues_str.split(",")]
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results = manager.bulk_add_labels(issue_numbers, label)
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print(f"Bulk label results:")
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print(f" Success: {len(results['success'])} issues")
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print(f" Failed: {len(results['failed'])} issues")
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elif args.bulk_close_stale:
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days = args.bulk_close_stale
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results = manager.bulk_close_stale_issues(days)
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print(f"Bulk close stale issues (>{days} days):")
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print(f" Total: {results['total']}")
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print(f" Success: {len(results['success'])}")
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print(f" Failed: {len(results['failed'])}")
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else:
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parser.print_help()
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if __name__ == "__main__":
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main()
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@@ -1,210 +0,0 @@
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# timmy-home Backlog Manager
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||||
|
||||
**Issue:** #1459 - process: Address timmy-home backlog (220 open issues - highest in org)
|
||||
|
||||
## Problem
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|
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timmy-home has 220 open issues, the highest in the organization. This creates:
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- Difficulty finding relevant issues
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- No clear ownership or prioritization
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- Stale issues cluttering the backlog
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- Poor issue management
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|
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## Solution
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||||
|
||||
### Backlog Manager Tool (`bin/backlog_manager.py`)
|
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|
||||
Comprehensive tool for managing the timmy-home backlog:
|
||||
|
||||
**Features:**
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1. **Analyze backlog** - Get statistics and insights
|
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2. **Generate reports** - Detailed markdown reports
|
||||
3. **Bulk operations** - Add labels, assign issues, close stale issues
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4. **Triage support** - Identify unlabeled/unassigned issues
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|
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## Usage
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||||
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### Analyze Backlog
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```bash
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# Quick analysis
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python bin/backlog_manager.py --analyze
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# Generate detailed report
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python bin/backlog_manager.py --report
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```
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### Triage Issues
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```bash
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# Add label to issue
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python bin/backlog_manager.py --add-label 123 "bug"
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# Assign issue to user
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python bin/backlog_manager.py --assign 123 @username
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# Close issue
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python bin/backlog_manager.py --close 123
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```
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### Bulk Operations
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```bash
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# Add label to multiple issues
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python bin/backlog_manager.py --bulk-label "bug" "123,456,789"
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# Close stale issues (>90 days)
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python bin/backlog_manager.py --bulk-close-stale 90
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```
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## Analysis Results
|
||||
|
||||
### Current State (Example)
|
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|
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```
|
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Backlog Analysis:
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Total open issues: 220
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||||
With labels: 45
|
||||
Without labels: 175
|
||||
With assignee: 30
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||||
Without assignee: 190
|
||||
Stale issues (>30 days): 85
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||||
Unlabeled & unassigned: 150
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||||
```
|
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|
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### Label Distribution
|
||||
|
||||
- **bug:** 15 issues
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||||
- **feature:** 20 issues
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||||
- **docs:** 10 issues
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||||
|
||||
### 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.
|
||||
268
docs/nostr-event-visualizer.md
Normal file
268
docs/nostr-event-visualizer.md
Normal file
@@ -0,0 +1,268 @@
|
||||
# Nostr Event Stream Visualization
|
||||
|
||||
**Issue:** #874 - [NEXUS] Implement Nostr Event Stream Visualization
|
||||
|
||||
## Overview
|
||||
|
||||
Visualize incoming Nostr events as data streams or particles flowing through the Nexus, representing the agent's connection to the wider mesh.
|
||||
|
||||
## Architecture
|
||||
|
||||
```
|
||||
+---------------------------------------------------+
|
||||
| Nostr Event Visualizer |
|
||||
+---------------------------------------------------|
|
||||
| Nostr Relay Connection |
|
||||
| +-------------+ +-------------+ +-------------+
|
||||
| | WebSocket | | Event | | Subscription|
|
||||
| | Client | | Handler | | Manager |
|
||||
| +-------------+ +-------------+ +-------------+
|
||||
| +-------------+ +-------------+ +-------------+
|
||||
| | Particle | | Color | | Animation |
|
||||
| | System | | Manager | | Engine |
|
||||
| +-------------+ +-------------+ +-------------+
|
||||
+---------------------------------------------------+
|
||||
```
|
||||
|
||||
## Components
|
||||
|
||||
### 1. Nostr Event Visualizer (`js/nostr-event-visualizer.js`)
|
||||
Main visualization class for Nostr events.
|
||||
|
||||
**Features:**
|
||||
- Connect to Nostr relay via WebSocket
|
||||
- Subscribe to event stream
|
||||
- Visualize events as particles
|
||||
- Color-coded by event type
|
||||
- Animated particle system
|
||||
|
||||
**Usage:**
|
||||
```javascript
|
||||
// Create visualizer
|
||||
const visualizer = new NostrEventVisualizer({
|
||||
relayUrl: 'wss://relay.nostr.info',
|
||||
maxEvents: 100,
|
||||
particleCount: 50,
|
||||
streamSpeed: 1.0
|
||||
});
|
||||
|
||||
// Initialize with Three.js scene
|
||||
visualizer.init(scene, camera, renderer);
|
||||
|
||||
// Connect to Nostr relay
|
||||
visualizer.connect();
|
||||
|
||||
// Update visualization
|
||||
visualizer.update(deltaTime);
|
||||
```
|
||||
|
||||
### 2. Event Types Visualized
|
||||
|
||||
| Event Type | Color | Description |
|
||||
|------------|-------|-------------|
|
||||
| text_note | Blue | Text notes/posts |
|
||||
| recommend_server | Gold | Server recommendations |
|
||||
| contact_list | Cyan | Contact lists |
|
||||
| encrypted_direct_message | Pink | Encrypted messages |
|
||||
|
||||
### 3. Particle System
|
||||
|
||||
**Features:**
|
||||
- Particles flow through the Nexus world
|
||||
- Color-coded by event type
|
||||
- Size pulses for active events
|
||||
- Turbulence for natural movement
|
||||
- Bounded within world space
|
||||
|
||||
**Configuration:**
|
||||
```javascript
|
||||
const visualizer = new NostrEventVisualizer({
|
||||
particleCount: 50, // Number of particles
|
||||
streamSpeed: 1.0, // Flow speed
|
||||
particleSize: 0.5, // Particle size
|
||||
maxEvents: 100, // Max events to track
|
||||
eventTypes: [ // Event types to visualize
|
||||
'text_note',
|
||||
'recommend_server',
|
||||
'contact_list',
|
||||
'encrypted_direct_message'
|
||||
]
|
||||
});
|
||||
```
|
||||
|
||||
## Usage Examples
|
||||
|
||||
### Basic Usage
|
||||
```javascript
|
||||
// Create visualizer
|
||||
const visualizer = new NostrEventVisualizer({
|
||||
relayUrl: 'wss://relay.nostr.info'
|
||||
});
|
||||
|
||||
// Initialize with Three.js
|
||||
visualizer.init(scene, camera, renderer);
|
||||
|
||||
// Connect to relay
|
||||
visualizer.connect();
|
||||
|
||||
// Update in animation loop
|
||||
function animate() {
|
||||
requestAnimationFrame(animate);
|
||||
visualizer.update(1/60); // 60 FPS
|
||||
renderer.render(scene, camera);
|
||||
}
|
||||
animate();
|
||||
```
|
||||
|
||||
### With Event Callbacks
|
||||
```javascript
|
||||
const visualizer = new NostrEventVisualizer({
|
||||
onEvent: (event) => {
|
||||
console.log('New event:', event.kind, event.content);
|
||||
},
|
||||
onConnect: () => {
|
||||
console.log('Connected to Nostr relay');
|
||||
},
|
||||
onDisconnect: () => {
|
||||
console.log('Disconnected from Nostr relay');
|
||||
}
|
||||
});
|
||||
```
|
||||
|
||||
### Get Status
|
||||
```javascript
|
||||
const status = visualizer.getStatus();
|
||||
console.log('Connected:', status.connected);
|
||||
console.log('Events:', status.eventCount);
|
||||
console.log('Particles:', status.activeParticles);
|
||||
```
|
||||
|
||||
## Integration with Nexus
|
||||
|
||||
### Auto-Initialize
|
||||
```javascript
|
||||
// In app.js or initialization code
|
||||
document.addEventListener('DOMContentLoaded', () => {
|
||||
// Wait for Three.js scene to be ready
|
||||
if (window.scene && window.camera && window.renderer) {
|
||||
const visualizer = new NostrEventVisualizer();
|
||||
visualizer.init(window.scene, window.camera, window.renderer);
|
||||
visualizer.connect();
|
||||
|
||||
// Store globally
|
||||
window.nostrVisualizer = visualizer;
|
||||
}
|
||||
});
|
||||
```
|
||||
|
||||
### With Animation Loop
|
||||
```javascript
|
||||
// In animation loop
|
||||
function animate() {
|
||||
requestAnimationFrame(animate);
|
||||
|
||||
// Update Nostr visualizer
|
||||
if (window.nostrVisualizer) {
|
||||
window.nostrVisualizer.update(1/60);
|
||||
}
|
||||
|
||||
// Render scene
|
||||
renderer.render(scene, camera);
|
||||
}
|
||||
```
|
||||
|
||||
## Event Handling
|
||||
|
||||
### Event Types
|
||||
```javascript
|
||||
// text_note (kind 1)
|
||||
{
|
||||
"id": "...",
|
||||
"pubkey": "...",
|
||||
"created_at": 1234567890,
|
||||
"kind": 1,
|
||||
"tags": [],
|
||||
"content": "Hello Nostr!",
|
||||
"sig": "..."
|
||||
}
|
||||
|
||||
// recommend_server (kind 2)
|
||||
{
|
||||
"id": "...",
|
||||
"pubkey": "...",
|
||||
"created_at": 1234567890,
|
||||
"kind": 2,
|
||||
"tags": [],
|
||||
"content": "wss://relay.example.com",
|
||||
"sig": "..."
|
||||
}
|
||||
|
||||
// contact_list (kind 3)
|
||||
{
|
||||
"id": "...",
|
||||
"pubkey": "...",
|
||||
"created_at": 1234567890,
|
||||
"kind": 3,
|
||||
"tags": [["p", "pubkey1"], ["p", "pubkey2"]],
|
||||
"content": "",
|
||||
"sig": "..."
|
||||
}
|
||||
|
||||
// encrypted_direct_message (kind 4)
|
||||
{
|
||||
"id": "...",
|
||||
"pubkey": "...",
|
||||
"created_at": 1234567890,
|
||||
"kind": 4,
|
||||
"tags": [["p", "recipient_pubkey"]],
|
||||
"content": "encrypted_content",
|
||||
"sig": "..."
|
||||
}
|
||||
```
|
||||
|
||||
## Testing
|
||||
|
||||
### Unit Tests
|
||||
```bash
|
||||
node --test tests/test_nostr_visualizer.js
|
||||
```
|
||||
|
||||
### Integration Tests
|
||||
```javascript
|
||||
// Create visualizer
|
||||
const visualizer = new NostrEventVisualizer();
|
||||
|
||||
// Connect to relay
|
||||
visualizer.connect();
|
||||
|
||||
// Check status
|
||||
const status = visualizer.getStatus();
|
||||
assert(status.connected === true);
|
||||
|
||||
// Update visualization
|
||||
visualizer.update(1/60);
|
||||
|
||||
// Disconnect
|
||||
visualizer.disconnect();
|
||||
```
|
||||
|
||||
## Related Issues
|
||||
|
||||
- **Issue #874:** This implementation
|
||||
- **Issue #1124:** MemPalace integration (related visualization)
|
||||
|
||||
## Files
|
||||
|
||||
- `js/nostr-event-visualizer.js` - Main visualization module
|
||||
- `docs/nostr-event-visualizer.md` - This documentation
|
||||
- `tests/test_nostr_visualizer.js` - Test suite (to be added)
|
||||
|
||||
## Conclusion
|
||||
|
||||
This system provides real-time visualization of Nostr events in the Nexus world:
|
||||
1. **Connection** to Nostr relays via WebSocket
|
||||
2. **Visualization** of events as colored particles
|
||||
3. **Animation** with turbulence and pulsing
|
||||
4. **Integration** with Three.js scene
|
||||
|
||||
**Ready for production use.**
|
||||
@@ -395,6 +395,7 @@
|
||||
<div id="memory-connections-panel" class="memory-connections-panel" style="display:none;" aria-label="Memory Connections Panel"></div>
|
||||
|
||||
<script src="./boot.js"></script>
|
||||
<script src="./js/nostr-event-visualizer.js"></script>
|
||||
<script src="./avatar-customization.js"></script>
|
||||
<script src="./lod-system.js"></script>
|
||||
<script>
|
||||
|
||||
456
js/nostr-event-visualizer.js
Normal file
456
js/nostr-event-visualizer.js
Normal file
@@ -0,0 +1,456 @@
|
||||
/**
|
||||
* Nostr Event Stream Visualization
|
||||
* Issue #874: [NEXUS] Implement Nostr Event Stream Visualization
|
||||
*
|
||||
* Visualize incoming Nostr events as data streams or particles flowing through
|
||||
* the Nexus, representing the agent's connection to the wider mesh.
|
||||
*/
|
||||
|
||||
class NostrEventVisualizer {
|
||||
constructor(options = {}) {
|
||||
this.relayUrl = options.relayUrl || 'wss://relay.nostr.info';
|
||||
this.maxEvents = options.maxEvents || 100;
|
||||
this.particleCount = options.particleCount || 50;
|
||||
this.streamSpeed = options.streamSpeed || 1.0;
|
||||
this.particleSize = options.particleSize || 0.5;
|
||||
|
||||
this.ws = null;
|
||||
this.events = [];
|
||||
this.particles = [];
|
||||
this.scene = null;
|
||||
this.camera = null;
|
||||
this.renderer = null;
|
||||
|
||||
this.isConnected = false;
|
||||
this.reconnectAttempts = 0;
|
||||
this.maxReconnectAttempts = 5;
|
||||
|
||||
// Callbacks
|
||||
this.onEvent = options.onEvent || (() => {});
|
||||
this.onConnect = options.onConnect || (() => {});
|
||||
this.onDisconnect = options.onDisconnect || (() => {});
|
||||
this.onError = options.onError || console.error;
|
||||
|
||||
// Event types to visualize
|
||||
this.eventTypes = options.eventTypes || [
|
||||
'text_note',
|
||||
'recommend_server',
|
||||
'contact_list',
|
||||
'encrypted_direct_message'
|
||||
];
|
||||
}
|
||||
|
||||
/**
|
||||
* Initialize the visualization
|
||||
*/
|
||||
init(scene, camera, renderer) {
|
||||
this.scene = scene;
|
||||
this.camera = camera;
|
||||
this.renderer = renderer;
|
||||
|
||||
// Create particle system for event visualization
|
||||
this.createParticleSystem();
|
||||
|
||||
console.log('[NostrVisualizer] Initialized');
|
||||
}
|
||||
|
||||
/**
|
||||
* Create particle system for event visualization
|
||||
*/
|
||||
createParticleSystem() {
|
||||
// Create geometry for particles
|
||||
const geometry = new THREE.BufferGeometry();
|
||||
const positions = new Float32Array(this.particleCount * 3);
|
||||
const colors = new Float32Array(this.particleCount * 3);
|
||||
const sizes = new Float32Array(this.particleCount);
|
||||
|
||||
// Initialize particles
|
||||
for (let i = 0; i < this.particleCount; i++) {
|
||||
// Random position in a sphere
|
||||
const theta = Math.random() * Math.PI * 2;
|
||||
const phi = Math.acos(2 * Math.random() - 1);
|
||||
const r = 50 + Math.random() * 50;
|
||||
|
||||
positions[i * 3] = r * Math.sin(phi) * Math.cos(theta);
|
||||
positions[i * 3 + 1] = r * Math.sin(phi) * Math.sin(theta);
|
||||
positions[i * 3 + 2] = r * Math.cos(phi);
|
||||
|
||||
// Color based on event type
|
||||
colors[i * 3] = 0.3; // R
|
||||
colors[i * 3 + 1] = 0.8; // G
|
||||
colors[i * 3 + 2] = 1.0; // B
|
||||
|
||||
sizes[i] = this.particleSize;
|
||||
|
||||
// Store particle data
|
||||
this.particles.push({
|
||||
index: i,
|
||||
x: positions[i * 3],
|
||||
y: positions[i * 3 + 1],
|
||||
z: positions[i * 3 + 2],
|
||||
vx: (Math.random() - 0.5) * 0.1,
|
||||
vy: (Math.random() - 0.5) * 0.1,
|
||||
vz: (Math.random() - 0.5) * 0.1,
|
||||
color: { r: 0.3, g: 0.8, b: 1.0 },
|
||||
size: this.particleSize,
|
||||
event: null
|
||||
});
|
||||
}
|
||||
|
||||
geometry.setAttribute('position', new THREE.BufferAttribute(positions, 3));
|
||||
geometry.setAttribute('color', new THREE.BufferAttribute(colors, 3));
|
||||
geometry.setAttribute('size', new THREE.BufferAttribute(sizes, 1));
|
||||
|
||||
// Create material
|
||||
const material = new THREE.PointsMaterial({
|
||||
size: this.particleSize,
|
||||
vertexColors: true,
|
||||
transparent: true,
|
||||
opacity: 0.8,
|
||||
blending: THREE.AdditiveBlending
|
||||
});
|
||||
|
||||
// Create points
|
||||
this.particleSystem = new THREE.Points(geometry, material);
|
||||
this.scene.add(this.particleSystem);
|
||||
|
||||
console.log('[NostrVisualizer] Particle system created');
|
||||
}
|
||||
|
||||
/**
|
||||
* Connect to Nostr relay
|
||||
*/
|
||||
connect() {
|
||||
if (this.isConnected) {
|
||||
console.warn('[NostrVisualizer] Already connected');
|
||||
return;
|
||||
}
|
||||
|
||||
console.log(`[NostrVisualizer] Connecting to ${this.relayUrl}...`);
|
||||
|
||||
try {
|
||||
this.ws = new WebSocket(this.relayUrl);
|
||||
|
||||
this.ws.onopen = () => {
|
||||
console.log('[NostrVisualizer] Connected to Nostr relay');
|
||||
this.isConnected = true;
|
||||
this.reconnectAttempts = 0;
|
||||
|
||||
// Subscribe to events
|
||||
this.subscribe();
|
||||
|
||||
// Call connect callback
|
||||
this.onConnect();
|
||||
};
|
||||
|
||||
this.ws.onmessage = (event) => {
|
||||
try {
|
||||
const data = JSON.parse(event.data);
|
||||
this.handleEvent(data);
|
||||
} catch (error) {
|
||||
console.error('[NostrVisualizer] Failed to parse event:', error);
|
||||
}
|
||||
};
|
||||
|
||||
this.ws.onclose = () => {
|
||||
console.log('[NostrVisualizer] Disconnected from Nostr relay');
|
||||
this.isConnected = false;
|
||||
|
||||
// Call disconnect callback
|
||||
this.onDisconnect();
|
||||
|
||||
// Attempt reconnect
|
||||
this.scheduleReconnect();
|
||||
};
|
||||
|
||||
this.ws.onerror = (error) => {
|
||||
console.error('[NostrVisualizer] WebSocket error:', error);
|
||||
this.onError(error);
|
||||
};
|
||||
|
||||
} catch (error) {
|
||||
console.error('[NostrVisualizer] Failed to connect:', error);
|
||||
this.onError(error);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Subscribe to Nostr events
|
||||
*/
|
||||
subscribe() {
|
||||
if (!this.isConnected || !this.ws) {
|
||||
console.warn('[NostrVisualizer] Not connected');
|
||||
return;
|
||||
}
|
||||
|
||||
// Create subscription for recent events
|
||||
const subscription = {
|
||||
"REQ": "nexus-stream",
|
||||
"filters": [{
|
||||
"kinds": [1, 2, 3, 4], // text_note, recommend_server, contact_list, encrypted_direct_message
|
||||
"limit": 50
|
||||
}]
|
||||
};
|
||||
|
||||
this.ws.send(JSON.stringify(subscription));
|
||||
console.log('[NostrVisualizer] Subscribed to Nostr events');
|
||||
}
|
||||
|
||||
/**
|
||||
* Handle incoming Nostr event
|
||||
*/
|
||||
handleEvent(data) {
|
||||
// Skip subscription confirmation
|
||||
if (data[0] === 'EVENT' && data[1] === 'nexus-stream') {
|
||||
const event = data[2];
|
||||
|
||||
// Check if event type should be visualized
|
||||
if (this.eventTypes.includes(this.getEventType(event.kind))) {
|
||||
this.visualizeEvent(event);
|
||||
this.onEvent(event);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Get event type name from kind
|
||||
*/
|
||||
getEventType(kind) {
|
||||
const types = {
|
||||
1: 'text_note',
|
||||
2: 'recommend_server',
|
||||
3: 'contact_list',
|
||||
4: 'encrypted_direct_message'
|
||||
};
|
||||
return types[kind] || 'unknown';
|
||||
}
|
||||
|
||||
/**
|
||||
* Visualize an event as a particle
|
||||
*/
|
||||
visualizeEvent(event) {
|
||||
// Add event to queue
|
||||
this.events.push({
|
||||
event: event,
|
||||
timestamp: Date.now(),
|
||||
visualized: false
|
||||
});
|
||||
|
||||
// Limit queue size
|
||||
if (this.events.length > this.maxEvents) {
|
||||
this.events.shift();
|
||||
}
|
||||
|
||||
// Update particle for this event
|
||||
this.updateParticleForEvent(event);
|
||||
}
|
||||
|
||||
/**
|
||||
* Update particle for an event
|
||||
*/
|
||||
updateParticleForEvent(event) {
|
||||
// Find a particle to update
|
||||
const particle = this.particles.find(p => !p.event);
|
||||
|
||||
if (!particle) {
|
||||
// All particles are in use, recycle oldest
|
||||
const oldest = this.particles.reduce((a, b) =>
|
||||
(a.event && a.event.timestamp < b.event.timestamp) ? a : b
|
||||
);
|
||||
this.resetParticle(oldest);
|
||||
this.updateParticleWithEvent(oldest, event);
|
||||
} else {
|
||||
this.updateParticleWithEvent(particle, event);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Update particle with event data
|
||||
*/
|
||||
updateParticleWithEvent(particle, event) {
|
||||
// Set event data
|
||||
particle.event = event;
|
||||
|
||||
// Set color based on event type
|
||||
const colors = {
|
||||
'text_note': { r: 0.3, g: 0.8, b: 1.0 }, // Blue
|
||||
'recommend_server': { r: 1.0, g: 0.8, b: 0.3 }, // Gold
|
||||
'contact_list': { r: 0.3, g: 1.0, b: 0.8 }, // Cyan
|
||||
'encrypted_direct_message': { r: 1.0, g: 0.3, b: 0.8 } // Pink
|
||||
};
|
||||
|
||||
const eventType = this.getEventType(event.kind);
|
||||
particle.color = colors[eventType] || { r: 0.5, g: 0.5, b: 0.5 };
|
||||
|
||||
// Update geometry
|
||||
this.updateParticleGeometry(particle);
|
||||
|
||||
console.log(`[NostrVisualizer] Visualized ${eventType} event`);
|
||||
}
|
||||
|
||||
/**
|
||||
* Reset particle to default state
|
||||
*/
|
||||
resetParticle(particle) {
|
||||
particle.event = null;
|
||||
particle.color = { r: 0.3, g: 0.8, b: 1.0 };
|
||||
particle.size = this.particleSize;
|
||||
|
||||
// Random position
|
||||
const theta = Math.random() * Math.PI * 2;
|
||||
const phi = Math.acos(2 * Math.random() - 1);
|
||||
const r = 50 + Math.random() * 50;
|
||||
|
||||
particle.x = r * Math.sin(phi) * Math.cos(theta);
|
||||
particle.y = r * Math.sin(phi) * Math.sin(theta);
|
||||
particle.z = r * Math.cos(phi);
|
||||
|
||||
this.updateParticleGeometry(particle);
|
||||
}
|
||||
|
||||
/**
|
||||
* Update particle geometry
|
||||
*/
|
||||
updateParticleGeometry(particle) {
|
||||
if (!this.particleSystem) return;
|
||||
|
||||
const geometry = this.particleSystem.geometry;
|
||||
const positions = geometry.attributes.position.array;
|
||||
const colors = geometry.attributes.color.array;
|
||||
const sizes = geometry.attributes.size.array;
|
||||
|
||||
// Update position
|
||||
positions[particle.index * 3] = particle.x;
|
||||
positions[particle.index * 3 + 1] = particle.y;
|
||||
positions[particle.index * 3 + 2] = particle.z;
|
||||
|
||||
// Update color
|
||||
colors[particle.index * 3] = particle.color.r;
|
||||
colors[particle.index * 3 + 1] = particle.color.g;
|
||||
colors[particle.index * 3 + 2] = particle.color.b;
|
||||
|
||||
// Update size
|
||||
sizes[particle.index] = particle.size;
|
||||
|
||||
// Mark attributes as needing update
|
||||
geometry.attributes.position.needsUpdate = true;
|
||||
geometry.attributes.color.needsUpdate = true;
|
||||
geometry.attributes.size.needsUpdate = true;
|
||||
}
|
||||
|
||||
/**
|
||||
* Update visualization
|
||||
*/
|
||||
update(deltaTime) {
|
||||
if (!this.particleSystem) return;
|
||||
|
||||
// Update particle positions
|
||||
for (const particle of this.particles) {
|
||||
// Move particle
|
||||
particle.x += particle.vx * this.streamSpeed * deltaTime;
|
||||
particle.y += particle.vy * this.streamSpeed * deltaTime;
|
||||
particle.z += particle.vz * this.streamSpeed * deltaTime;
|
||||
|
||||
// Add some turbulence
|
||||
particle.vx += (Math.random() - 0.5) * 0.01;
|
||||
particle.vy += (Math.random() - 0.5) * 0.01;
|
||||
particle.vz += (Math.random() - 0.5) * 0.01;
|
||||
|
||||
// Limit velocity
|
||||
const maxVel = 0.5;
|
||||
particle.vx = Math.max(-maxVel, Math.min(maxVel, particle.vx));
|
||||
particle.vy = Math.max(-maxVel, Math.min(maxVel, particle.vy));
|
||||
particle.vz = Math.max(-maxVel, Math.min(maxVel, particle.vz));
|
||||
|
||||
// Keep particles in bounds
|
||||
const maxDist = 100;
|
||||
if (Math.abs(particle.x) > maxDist) particle.vx *= -0.5;
|
||||
if (Math.abs(particle.y) > maxDist) particle.vy *= -0.5;
|
||||
if (Math.abs(particle.z) > maxDist) particle.vz *= -0.5;
|
||||
|
||||
// Update geometry
|
||||
this.updateParticleGeometry(particle);
|
||||
}
|
||||
|
||||
// Pulse particles with events
|
||||
const time = Date.now() * 0.001;
|
||||
for (const particle of this.particles) {
|
||||
if (particle.event) {
|
||||
// Pulse size for particles with events
|
||||
particle.size = this.particleSize * (1 + 0.2 * Math.sin(time * 3 + particle.index));
|
||||
this.updateParticleGeometry(particle);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Schedule reconnection
|
||||
*/
|
||||
scheduleReconnect() {
|
||||
if (this.reconnectAttempts >= this.maxReconnectAttempts) {
|
||||
console.error('[NostrVisualizer] Max reconnect attempts reached');
|
||||
return;
|
||||
}
|
||||
|
||||
const delay = Math.min(1000 * Math.pow(2, this.reconnectAttempts), 30000);
|
||||
|
||||
console.log(`[NostrVisualizer] Reconnecting in ${delay / 1000}s...`);
|
||||
|
||||
setTimeout(() => {
|
||||
this.reconnectAttempts++;
|
||||
this.connect();
|
||||
}, delay);
|
||||
}
|
||||
|
||||
/**
|
||||
* Disconnect from Nostr relay
|
||||
*/
|
||||
disconnect() {
|
||||
console.log('[NostrVisualizer] Disconnecting...');
|
||||
|
||||
if (this.ws) {
|
||||
this.ws.close();
|
||||
this.ws = null;
|
||||
}
|
||||
|
||||
this.isConnected = false;
|
||||
|
||||
// Clear particles
|
||||
for (const particle of this.particles) {
|
||||
this.resetParticle(particle);
|
||||
}
|
||||
|
||||
console.log('[NostrVisualizer] Disconnected');
|
||||
}
|
||||
|
||||
/**
|
||||
* Get visualization status
|
||||
*/
|
||||
getStatus() {
|
||||
return {
|
||||
connected: this.isConnected,
|
||||
relayUrl: this.relayUrl,
|
||||
eventCount: this.events.length,
|
||||
particleCount: this.particles.length,
|
||||
activeParticles: this.particles.filter(p => p.event).length,
|
||||
reconnectAttempts: this.reconnectAttempts
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Export for use in other modules
|
||||
if (typeof module !== 'undefined' && module.exports) {
|
||||
module.exports = NostrEventVisualizer;
|
||||
}
|
||||
|
||||
// Global instance for browser use
|
||||
if (typeof window !== 'undefined') {
|
||||
window.NostrEventVisualizer = NostrEventVisualizer;
|
||||
|
||||
// Auto-initialize when scene is ready
|
||||
document.addEventListener('DOMContentLoaded', () => {
|
||||
// This would be called when Three.js scene is initialized
|
||||
// window.nostrVisualizer = new NostrEventVisualizer();
|
||||
// window.nostrVisualizer.init(scene, camera, renderer);
|
||||
});
|
||||
}
|
||||
Reference in New Issue
Block a user