zzstoatzz.io
+172
README.md
+172
README.md
···
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## scripts
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- [`analyze-github-followers`](#analyze-github-followers)
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- [`check-files-for-bad-links`](#check-files-for-bad-links)
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- [`dm-me-when-a-flight-passes-over`](#dm-me-when-a-flight-passes-over)
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- [`find-longest-bsky-thread`](#find-longest-bsky-thread)
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- [`find-stale-bsky-follows`](#find-stale-bsky-follows)
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- [`kill-processes`](#kill-processes)
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- [`predict-github-stars`](#predict-github-stars)
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- [`update-lights`](#update-lights)
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- [`update-readme`](#update-readme)
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---
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### `analyze-github-followers`
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analyze your github followers and following.
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+
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usage:
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./analyze-github-followers
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./analyze-github-followers --summary-only # skip detailed analysis
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+
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details:
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- uses github rest api to fetch followers/following
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- shows rich tables with follower stats
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- identifies mutual follows, notable followers, etc.
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- requires GITHUB_TOKEN in .env file
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+
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---
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### `check-files-for-bad-links`
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Check files for bad links.
···
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---
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### `dm-me-when-a-flight-passes-over`
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Monitor flights passing overhead and send BlueSky DMs.
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Usage:
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# Single user mode (backward compatible)
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./dm-me-when-a-flight-passes-over
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# Multi-subscriber mode with JSON file
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./dm-me-when-a-flight-passes-over --subscribers subscribers.json
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# Multi-subscriber mode with stdin
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echo '[{"handle": "user1.bsky.social", "latitude": 41.8781, "longitude": -87.6298, "radius_miles": 5}]' | ./dm-me-when-a-flight-passes-over --subscribers -
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This script monitors flights within a configurable radius and sends DMs on BlueSky
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when flights pass overhead. Supports multiple subscribers with different locations.
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## Future Architecture Ideas
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### Web App Deployment Options
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1. **FastAPI + Fly.io/Railway/Render**
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- REST API with endpoints:
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- POST /subscribe - Register user with BlueSky handle
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- DELETE /unsubscribe - Remove subscription
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- POST /update-location - Update user's location
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- GET /status - Check subscription status
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- Background worker using Celery/RQ/APScheduler
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- PostgreSQL/SQLite for subscriber persistence
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- Redis for caching flight data & deduplication
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2. **Vercel/Netlify Edge Functions**
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- Serverless approach with scheduled cron jobs
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- Use Vercel KV or Upstash Redis for state
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- Challenge: Long-running monitoring needs workarounds
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- Solution: Trigger checks via cron every minute
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3. **Self-Hosted with ngrok/Cloudflare Tunnel**
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- Quick prototype option
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- Run this script as daemon
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- Expose simple Flask/FastAPI wrapper
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- Security concerns: rate limiting, auth required
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### Mobile/Browser Integration
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1. **Progressive Web App (PWA)**
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- Service worker for background location updates
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- Geolocation API for current position
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- Push notifications instead of/alongside DMs
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- IndexedDB for offline capability
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2. **iOS Shortcuts Integration**
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- Create shortcut that gets location
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- Calls webhook with location + BlueSky handle
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- Could run automatically based on focus modes
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3. **Browser Extension**
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- Background script polls location
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- Lighter weight than full app
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- Cross-platform solution
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### Architecture Components
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1. **Location Services Layer**
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- Browser Geolocation API
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- IP-based geolocation fallback
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- Manual location picker UI
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- Privacy: Only send location when checking flights
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2. **Notification Options**
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- BlueSky DMs (current)
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- Web Push Notifications
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- Webhooks to other services
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- Email/SMS via Twilio/SendGrid
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3. **Subscription Management**
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- OAuth with BlueSky for auth
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- User preferences: radius, notification types
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- Quiet hours/Do Not Disturb
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- Rate limiting per user
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4. **Data Optimization**
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- Cache FlightRadar API responses
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- Batch location updates
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- Aggregate nearby users for efficiency
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- WebSocket for real-time updates
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### Implementation Approach
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Phase 1: Web API Wrapper
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- FastAPI with /subscribe endpoint
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- SQLite for subscribers
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- Run monitoring in background thread
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- Deploy to Fly.io free tier
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Phase 2: Web UI
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- Simple React/Vue form
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- Geolocation permission request
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- Show nearby flights on map
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- Subscription management
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Phase 3: Mobile Experience
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- PWA with service workers
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- Background location updates
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- Local notifications
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- Offline support
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### Security Considerations
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- Rate limit FlightRadar API calls
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- Authenticate BlueSky handles
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- Validate location bounds
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- Prevent subscription spam
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- GDPR compliance for location data
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---
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### `find-longest-bsky-thread`
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Find the longest reply thread from a Bluesky post.
···
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---
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### `find-stale-bsky-follows`
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Find stale/inactive accounts among those you follow on Bluesky.
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Usage:
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```bash
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./find-stale-bsky-follows
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# or with custom inactivity threshold (days)
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./find-stale-bsky-follows --days 180
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```
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Details:
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- uses [`atproto`](https://github.com/MarshalX/atproto) to fetch following list
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- uses [`rich`](https://github.com/Textualize/rich) for pretty output
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- identifies accounts with no recent posts
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---
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### `kill-processes`
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AI-powered TUI for killing processes.
···
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Details:
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- uses [`textual`](https://textual.textualize.io/) for the TUI
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- uses [`marvin`](https://github.com/prefecthq/marvin) (built on [`pydantic-ai`](https://github.com/pydantic/pydantic-ai)) to annotate processes
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---
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### `predict-github-stars`
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Predict when a GitHub repository will reach a target number of stars.
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Usage:
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./predict-github-stars owner/repo 10000
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Details:
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- Uses GitHub REST API to fetch star history (with timestamps).
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- Fits polynomial regression (degree 1–3) to full history.
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- Falls back to recent‑trend linear extrapolation if the polynomial
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cannot reach the target within ten years.
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- Shows recent growth rate and a caution for long‑range estimates.
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- Requires `GITHUB_TOKEN` in the environment for higher rate limits (optional).
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---
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+366
analyze-github-followers
+366
analyze-github-followers
···
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#!/usr/bin/env -S uv run --script --quiet
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# /// script
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# requires-python = ">=3.12"
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# dependencies = ["httpx", "rich", "pydantic-settings"]
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# ///
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"""
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analyze your github followers and following.
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usage:
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./analyze-github-followers
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./analyze-github-followers --summary-only # skip detailed analysis
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+
13
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details:
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- uses github rest api to fetch followers/following
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- shows rich tables with follower stats
16
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- identifies mutual follows, notable followers, etc.
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- requires GITHUB_TOKEN in .env file
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"""
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from __future__ import annotations
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import argparse
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import os
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from datetime import datetime, timezone
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from typing import NamedTuple
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import httpx
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from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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from rich.console import Console
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from rich.panel import Panel
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from rich.progress import Progress, SpinnerColumn, TextColumn
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from rich.table import Table
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console = Console()
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class Settings(BaseSettings):
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"""load settings from environment"""
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model_config = SettingsConfigDict(
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env_file=os.environ.get("ENV_FILE", ".env"), extra="ignore"
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)
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github_token: str = Field(description="github api token")
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class GitHubUser(NamedTuple):
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"""github user information"""
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login: str
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name: str | None
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bio: str | None
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followers: int
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following: int
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public_repos: int
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created_at: datetime
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url: str
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company: str | None
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location: str | None
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blog: str | None
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@property
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def follower_ratio(self) -> float:
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"""ratio of followers to following (higher = more influential)"""
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if self.following == 0:
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return float(self.followers) if self.followers > 0 else 0.0
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return self.followers / self.following
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def _headers(token: str) -> dict[str, str]:
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return {
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"Accept": "application/vnd.github.v3+json",
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"Authorization": f"token {token}",
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}
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def get_authenticated_user(token: str) -> str:
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"""get the authenticated user's login"""
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with httpx.Client() as client:
80
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r = client.get("https://api.github.com/user", headers=_headers(token))
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r.raise_for_status()
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return r.json()["login"]
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def get_user_details(username: str, token: str) -> GitHubUser:
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"""fetch detailed user information"""
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with httpx.Client() as client:
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r = client.get(
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f"https://api.github.com/users/{username}", headers=_headers(token)
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)
91
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r.raise_for_status()
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data = r.json()
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return GitHubUser(
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login=data["login"],
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name=data.get("name"),
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bio=data.get("bio"),
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followers=data["followers"],
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following=data["following"],
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public_repos=data["public_repos"],
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created_at=datetime.fromisoformat(data["created_at"].replace("Z", "+00:00")),
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url=data["html_url"],
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company=data.get("company"),
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location=data.get("location"),
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blog=data.get("blog"),
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)
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def get_all_followers(username: str, token: str) -> list[str]:
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"""fetch all followers (just logins for now)"""
110
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followers = []
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page = 1
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with httpx.Client() as client:
113
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while True:
114
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r = client.get(
115
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f"https://api.github.com/users/{username}/followers?page={page}&per_page=100",
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headers=_headers(token),
117
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)
118
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r.raise_for_status()
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data = r.json()
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if not data:
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break
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followers.extend([user["login"] for user in data])
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page += 1
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return followers
125
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+
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def get_all_following(username: str, token: str) -> list[str]:
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"""fetch all users being followed"""
129
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following = []
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page = 1
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with httpx.Client() as client:
132
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while True:
133
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r = client.get(
134
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f"https://api.github.com/users/{username}/following?page={page}&per_page=100",
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headers=_headers(token),
136
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)
137
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r.raise_for_status()
138
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data = r.json()
139
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if not data:
140
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break
141
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following.extend([user["login"] for user in data])
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page += 1
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return following
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def main():
147
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"""main function to analyze github followers"""
148
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parser = argparse.ArgumentParser(description="analyze your github followers")
149
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parser.add_argument(
150
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"--summary-only",
151
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action="store_true",
152
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help="show summary only, skip detailed follower analysis",
153
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)
154
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args = parser.parse_args()
155
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try:
157
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settings = Settings() # type: ignore
158
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except Exception as e:
159
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console.print(f"[red]error loading settings: {e}[/red]")
160
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console.print("[dim]ensure .env file exists with GITHUB_TOKEN[/dim]")
161
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return
162
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163
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token = settings.github_token.strip()
164
+
165
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try:
166
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# get authenticated user
167
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username = get_authenticated_user(token)
168
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console.print(f"[blue]analyzing followers for @{username}[/blue]\n")
169
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170
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# fetch user details
171
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with Progress(
172
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SpinnerColumn(),
173
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TextColumn("[progress.description]{task.description}"),
174
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console=console,
175
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) as progress:
176
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task = progress.add_task("fetching your profile...", total=None)
177
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user = get_user_details(username, token)
178
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progress.update(task, completed=True)
179
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180
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# show profile info
181
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profile_text = f"[bold cyan]@{user.login}[/bold cyan]"
182
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if user.name:
183
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profile_text += f" ({user.name})"
184
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profile_text += f"\n[dim]joined {user.created_at:%Y-%m-%d}[/dim]"
185
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if user.bio:
186
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profile_text += f"\n{user.bio}"
187
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if user.location:
188
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profile_text += f"\n📍 {user.location}"
189
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if user.company:
190
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profile_text += f"\n🏢 {user.company}"
191
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192
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console.print(Panel.fit(profile_text, border_style="blue"))
193
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console.print()
194
+
195
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# fetch followers and following
196
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with Progress(
197
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SpinnerColumn(),
198
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TextColumn("[progress.description]{task.description}"),
199
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console=console,
200
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) as progress:
201
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task1 = progress.add_task("fetching followers...", total=None)
202
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followers = get_all_followers(username, token)
203
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progress.update(task1, completed=True)
204
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205
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task2 = progress.add_task("fetching following...", total=None)
206
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following = get_all_following(username, token)
207
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progress.update(task2, completed=True)
208
+
209
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# analyze relationships
210
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followers_set = set(followers)
211
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following_set = set(following)
212
+
213
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mutual = followers_set & following_set
214
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followers_only = followers_set - following_set
215
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following_only = following_set - followers_set
216
+
217
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# summary table
218
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summary_table = Table(show_header=True, header_style="bold magenta")
219
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summary_table.add_column("metric", style="cyan")
220
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summary_table.add_column("count", justify="right", style="white")
221
+
222
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summary_table.add_row("total followers", str(len(followers)))
223
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summary_table.add_row("total following", str(len(following)))
224
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summary_table.add_row("mutual follows", f"[green]{len(mutual)}[/green]")
225
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summary_table.add_row(
226
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"followers not following back", f"[yellow]{len(followers_only)}[/yellow]"
227
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)
228
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summary_table.add_row(
229
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"following but not following back", f"[red]{len(following_only)}[/red]"
230
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)
231
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summary_table.add_row("public repos", str(user.public_repos))
232
+
233
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console.print(summary_table)
234
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console.print()
235
+
236
+
# fetch details for all followers
237
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if followers and not args.summary_only:
238
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console.print(
239
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f"\n[bold yellow]analyzing all {len(followers)} followers...[/bold yellow]"
240
+
)
241
+
follower_details = []
242
+
243
+
with Progress(
244
+
SpinnerColumn(),
245
+
TextColumn("[progress.description]{task.description}"),
246
+
console=console,
247
+
) as progress:
248
+
task = progress.add_task(
249
+
f"fetching follower details...", total=len(followers)
250
+
)
251
+
252
+
for follower_login in followers:
253
+
try:
254
+
details = get_user_details(follower_login, token)
255
+
follower_details.append(details)
256
+
except Exception:
257
+
pass # skip if we can't fetch details
258
+
progress.advance(task)
259
+
260
+
if follower_details:
261
+
# most influential followers by follower ratio
262
+
# filter out accounts with very few followers to avoid noise
263
+
influential = [f for f in follower_details if f.followers >= 100]
264
+
influential = sorted(influential, key=lambda u: u.follower_ratio, reverse=True)[:10]
265
+
266
+
console.print()
267
+
console.print("[bold magenta]most influential followers:[/bold magenta]")
268
+
console.print("[dim]ranked by followers-to-following ratio[/dim]\n")
269
+
followers_table = Table(show_header=True, header_style="bold magenta")
270
+
followers_table.add_column("username", style="cyan")
271
+
followers_table.add_column("name", style="white")
272
+
followers_table.add_column("followers", justify="right", style="blue")
273
+
followers_table.add_column("following", justify="right", style="yellow")
274
+
followers_table.add_column("ratio", justify="right", style="green")
275
+
followers_table.add_column("mutual", justify="center", style="magenta")
276
+
277
+
for follower in influential:
278
+
is_mutual = "✓" if follower.login in mutual else ""
279
+
followers_table.add_row(
280
+
f"@{follower.login}",
281
+
follower.name or "[dim]no name[/dim]",
282
+
f"{follower.followers:,}",
283
+
f"{follower.following:,}",
284
+
f"{follower.follower_ratio:.1f}x",
285
+
is_mutual,
286
+
)
287
+
288
+
console.print(followers_table)
289
+
290
+
# location analysis
291
+
locations = [
292
+
f.location for f in follower_details if f.location
293
+
]
294
+
if locations:
295
+
from collections import Counter
296
+
297
+
location_counts = Counter(locations).most_common(5)
298
+
console.print("\n[bold magenta]top follower locations:[/bold magenta]")
299
+
location_table = Table(show_header=False)
300
+
location_table.add_column("location", style="cyan")
301
+
location_table.add_column("count", justify="right", style="white")
302
+
for loc, count in location_counts:
303
+
location_table.add_row(loc, str(count))
304
+
console.print(location_table)
305
+
306
+
# company analysis
307
+
companies = [
308
+
f.company.lstrip("@").strip()
309
+
for f in follower_details
310
+
if f.company
311
+
]
312
+
if companies:
313
+
from collections import Counter
314
+
315
+
company_counts = Counter(companies).most_common(5)
316
+
console.print("\n[bold magenta]top follower companies:[/bold magenta]")
317
+
company_table = Table(show_header=False)
318
+
company_table.add_column("company", style="cyan")
319
+
company_table.add_column("count", justify="right", style="white")
320
+
for comp, count in company_counts:
321
+
company_table.add_row(comp, str(count))
322
+
console.print(company_table)
323
+
324
+
# account age analysis
325
+
now = datetime.now(timezone.utc)
326
+
ages_years = [(now - f.created_at).days / 365.25 for f in follower_details]
327
+
avg_age = sum(ages_years) / len(ages_years)
328
+
oldest = min(follower_details, key=lambda f: f.created_at)
329
+
newest = max(follower_details, key=lambda f: f.created_at)
330
+
331
+
console.print("\n[bold magenta]account age stats:[/bold magenta]")
332
+
age_table = Table(show_header=False)
333
+
age_table.add_column("metric", style="cyan")
334
+
age_table.add_column("value", style="white")
335
+
age_table.add_row("average follower account age", f"{avg_age:.1f} years")
336
+
age_table.add_row("oldest follower account", f"@{oldest.login} ({oldest.created_at:%Y-%m-%d})")
337
+
age_table.add_row("newest follower account", f"@{newest.login} ({newest.created_at:%Y-%m-%d})")
338
+
console.print(age_table)
339
+
340
+
# repo stats
341
+
repo_counts = [f.public_repos for f in follower_details]
342
+
avg_repos = sum(repo_counts) / len(repo_counts)
343
+
most_repos = max(follower_details, key=lambda f: f.public_repos)
344
+
345
+
console.print("\n[bold magenta]repository stats:[/bold magenta]")
346
+
repo_table = Table(show_header=False)
347
+
repo_table.add_column("metric", style="cyan")
348
+
repo_table.add_column("value", style="white")
349
+
repo_table.add_row("average repos per follower", f"{avg_repos:.1f}")
350
+
repo_table.add_row("follower with most repos", f"@{most_repos.login} ({most_repos.public_repos:,} repos)")
351
+
repo_table.add_row("followers with 0 repos", str(sum(1 for f in follower_details if f.public_repos == 0)))
352
+
console.print(repo_table)
353
+
354
+
except httpx.HTTPStatusError as e:
355
+
if e.response.status_code == 401:
356
+
console.print("[red]error: invalid github token[/red]")
357
+
elif e.response.status_code == 403:
358
+
console.print("[red]error: rate limit exceeded[/red]")
359
+
else:
360
+
console.print(f"[red]github api error: {e.response.status_code}[/red]")
361
+
except Exception as e:
362
+
console.print(f"[red]error: {e}[/red]")
363
+
364
+
365
+
if __name__ == "__main__":
366
+
main()
+591
dm-me-when-a-flight-passes-over
+591
dm-me-when-a-flight-passes-over
···
1
+
#!/usr/bin/env -S uv run --script --quiet
2
+
# /// script
3
+
# requires-python = ">=3.12"
4
+
# dependencies = ["atproto", "pydantic-settings", "geopy", "httpx", "jinja2"]
5
+
# ///
6
+
"""
7
+
Monitor flights passing overhead and send BlueSky DMs.
8
+
9
+
Usage:
10
+
# Single user mode (backward compatible)
11
+
./dm-me-when-a-flight-passes-over
12
+
13
+
# Multi-subscriber mode with JSON file
14
+
./dm-me-when-a-flight-passes-over --subscribers subscribers.json
15
+
16
+
# Multi-subscriber mode with stdin
17
+
echo '[{"handle": "user1.bsky.social", "latitude": 41.8781, "longitude": -87.6298, "radius_miles": 5}]' | ./dm-me-when-a-flight-passes-over --subscribers -
18
+
19
+
This script monitors flights within a configurable radius and sends DMs on BlueSky
20
+
when flights pass overhead. Supports multiple subscribers with different locations.
21
+
22
+
## Future Architecture Ideas
23
+
24
+
### Web App Deployment Options
25
+
26
+
1. **FastAPI + Fly.io/Railway/Render**
27
+
- REST API with endpoints:
28
+
- POST /subscribe - Register user with BlueSky handle
29
+
- DELETE /unsubscribe - Remove subscription
30
+
- POST /update-location - Update user's location
31
+
- GET /status - Check subscription status
32
+
- Background worker using Celery/RQ/APScheduler
33
+
- PostgreSQL/SQLite for subscriber persistence
34
+
- Redis for caching flight data & deduplication
35
+
36
+
2. **Vercel/Netlify Edge Functions**
37
+
- Serverless approach with scheduled cron jobs
38
+
- Use Vercel KV or Upstash Redis for state
39
+
- Challenge: Long-running monitoring needs workarounds
40
+
- Solution: Trigger checks via cron every minute
41
+
42
+
3. **Self-Hosted with ngrok/Cloudflare Tunnel**
43
+
- Quick prototype option
44
+
- Run this script as daemon
45
+
- Expose simple Flask/FastAPI wrapper
46
+
- Security concerns: rate limiting, auth required
47
+
48
+
### Mobile/Browser Integration
49
+
50
+
1. **Progressive Web App (PWA)**
51
+
- Service worker for background location updates
52
+
- Geolocation API for current position
53
+
- Push notifications instead of/alongside DMs
54
+
- IndexedDB for offline capability
55
+
56
+
2. **iOS Shortcuts Integration**
57
+
- Create shortcut that gets location
58
+
- Calls webhook with location + BlueSky handle
59
+
- Could run automatically based on focus modes
60
+
61
+
3. **Browser Extension**
62
+
- Background script polls location
63
+
- Lighter weight than full app
64
+
- Cross-platform solution
65
+
66
+
### Architecture Components
67
+
68
+
1. **Location Services Layer**
69
+
- Browser Geolocation API
70
+
- IP-based geolocation fallback
71
+
- Manual location picker UI
72
+
- Privacy: Only send location when checking flights
73
+
74
+
2. **Notification Options**
75
+
- BlueSky DMs (current)
76
+
- Web Push Notifications
77
+
- Webhooks to other services
78
+
- Email/SMS via Twilio/SendGrid
79
+
80
+
3. **Subscription Management**
81
+
- OAuth with BlueSky for auth
82
+
- User preferences: radius, notification types
83
+
- Quiet hours/Do Not Disturb
84
+
- Rate limiting per user
85
+
86
+
4. **Data Optimization**
87
+
- Cache FlightRadar API responses
88
+
- Batch location updates
89
+
- Aggregate nearby users for efficiency
90
+
- WebSocket for real-time updates
91
+
92
+
### Implementation Approach
93
+
94
+
Phase 1: Web API Wrapper
95
+
- FastAPI with /subscribe endpoint
96
+
- SQLite for subscribers
97
+
- Run monitoring in background thread
98
+
- Deploy to Fly.io free tier
99
+
100
+
Phase 2: Web UI
101
+
- Simple React/Vue form
102
+
- Geolocation permission request
103
+
- Show nearby flights on map
104
+
- Subscription management
105
+
106
+
Phase 3: Mobile Experience
107
+
- PWA with service workers
108
+
- Background location updates
109
+
- Local notifications
110
+
- Offline support
111
+
112
+
### Security Considerations
113
+
- Rate limit FlightRadar API calls
114
+
- Authenticate BlueSky handles
115
+
- Validate location bounds
116
+
- Prevent subscription spam
117
+
- GDPR compliance for location data
118
+
"""
119
+
120
+
import argparse
121
+
import time
122
+
import math
123
+
import json
124
+
import sys
125
+
from datetime import datetime
126
+
from concurrent.futures import ThreadPoolExecutor, as_completed
127
+
128
+
import httpx
129
+
from atproto import Client
130
+
from geopy import distance
131
+
from jinja2 import Template
132
+
from pydantic import BaseModel, Field
133
+
from pydantic_settings import BaseSettings, SettingsConfigDict
134
+
135
+
136
+
class Settings(BaseSettings):
137
+
"""App settings loaded from environment variables"""
138
+
139
+
model_config = SettingsConfigDict(env_file=".env", extra="ignore")
140
+
141
+
bsky_handle: str = Field(...)
142
+
bsky_password: str = Field(...)
143
+
flightradar_api_token: str = Field(...)
144
+
145
+
146
+
class Subscriber(BaseModel):
147
+
"""Subscriber with location and notification preferences"""
148
+
149
+
handle: str
150
+
latitude: float
151
+
longitude: float
152
+
radius_miles: float = 5.0
153
+
filters: dict[str, list[str]] = Field(default_factory=dict)
154
+
message_template: str | None = None
155
+
156
+
157
+
class Flight(BaseModel):
158
+
"""Flight data model"""
159
+
160
+
hex: str
161
+
latitude: float
162
+
longitude: float
163
+
altitude: float | None = None
164
+
ground_speed: float | None = None
165
+
heading: float | None = None
166
+
aircraft_type: str | None = None
167
+
registration: str | None = None
168
+
origin: str | None = None
169
+
destination: str | None = None
170
+
callsign: str | None = None
171
+
distance_miles: float
172
+
173
+
174
+
def get_flights_in_area(
175
+
settings: Settings, latitude: float, longitude: float, radius_miles: float
176
+
) -> list[Flight]:
177
+
"""Get flights within the specified radius using FlightRadar24 API."""
178
+
lat_offset = radius_miles / 69 # 1 degree latitude ≈ 69 miles
179
+
lon_offset = radius_miles / (69 * abs(math.cos(math.radians(latitude))))
180
+
181
+
bounds = {
182
+
"north": latitude + lat_offset,
183
+
"south": latitude - lat_offset,
184
+
"west": longitude - lon_offset,
185
+
"east": longitude + lon_offset,
186
+
}
187
+
188
+
headers = {
189
+
"Authorization": f"Bearer {settings.flightradar_api_token}",
190
+
"Accept": "application/json",
191
+
"Accept-Version": "v1",
192
+
}
193
+
194
+
url = "https://fr24api.flightradar24.com/api/live/flight-positions/full"
195
+
params = {
196
+
"bounds": f"{bounds['north']},{bounds['south']},{bounds['west']},{bounds['east']}"
197
+
}
198
+
199
+
try:
200
+
with httpx.Client() as client:
201
+
response = client.get(url, headers=headers, params=params, timeout=10)
202
+
response.raise_for_status()
203
+
data = response.json()
204
+
205
+
flights_in_radius = []
206
+
center = (latitude, longitude)
207
+
208
+
if isinstance(data, dict) and "data" in data:
209
+
for flight_data in data["data"]:
210
+
lat = flight_data.get("lat")
211
+
lon = flight_data.get("lon")
212
+
213
+
if lat and lon:
214
+
flight_pos = (lat, lon)
215
+
dist = distance.distance(center, flight_pos).miles
216
+
if dist <= radius_miles:
217
+
flight = Flight(
218
+
hex=flight_data.get("fr24_id", ""),
219
+
latitude=lat,
220
+
longitude=lon,
221
+
altitude=flight_data.get("alt"),
222
+
ground_speed=flight_data.get("gspeed"),
223
+
heading=flight_data.get("track"),
224
+
aircraft_type=flight_data.get("type"),
225
+
registration=flight_data.get("reg"),
226
+
origin=flight_data.get("orig_iata"),
227
+
destination=flight_data.get("dest_iata"),
228
+
callsign=flight_data.get("flight"),
229
+
distance_miles=round(dist, 2),
230
+
)
231
+
flights_in_radius.append(flight)
232
+
233
+
return flights_in_radius
234
+
except httpx.HTTPStatusError as e:
235
+
print(f"HTTP error fetching flights: {e}")
236
+
print(f"Response status: {e.response.status_code}")
237
+
print(f"Response content: {e.response.text[:500]}")
238
+
return []
239
+
except Exception as e:
240
+
print(f"Error fetching flights: {e}")
241
+
return []
242
+
243
+
244
+
DEFAULT_MESSAGE_TEMPLATE = """✈️ Flight passing overhead!
245
+
246
+
Flight: {{ flight.callsign or 'Unknown' }}
247
+
Distance: {{ flight.distance_miles }} miles
248
+
{%- if flight.altitude %}
249
+
Altitude: {{ "{:,.0f}".format(flight.altitude) }} ft
250
+
{%- endif %}
251
+
{%- if flight.ground_speed %}
252
+
Speed: {{ "{:.0f}".format(flight.ground_speed) }} kts
253
+
{%- endif %}
254
+
{%- if flight.heading %}
255
+
Heading: {{ "{:.0f}".format(flight.heading) }}°
256
+
{%- endif %}
257
+
{%- if flight.aircraft_type %}
258
+
Aircraft: {{ flight.aircraft_type }}
259
+
{%- endif %}
260
+
{%- if flight.origin or flight.destination %}
261
+
Route: {{ flight.origin or '???' }} → {{ flight.destination or '???' }}
262
+
{%- endif %}
263
+
264
+
Time: {{ timestamp }}"""
265
+
266
+
267
+
def format_flight_info(flight: Flight, template_str: str | None = None) -> str:
268
+
"""Format flight information for a DM using Jinja2 template."""
269
+
template_str = template_str or DEFAULT_MESSAGE_TEMPLATE
270
+
template = Template(template_str)
271
+
272
+
return template.render(
273
+
flight=flight,
274
+
timestamp=datetime.now().strftime('%H:%M:%S')
275
+
)
276
+
277
+
278
+
def send_dm(client: Client, message: str, target_handle: str) -> bool:
279
+
"""Send a direct message to the specified handle on BlueSky."""
280
+
try:
281
+
resolved = client.com.atproto.identity.resolve_handle(
282
+
params={"handle": target_handle}
283
+
)
284
+
target_did = resolved.did
285
+
286
+
chat_client = client.with_bsky_chat_proxy()
287
+
288
+
convo_response = chat_client.chat.bsky.convo.get_convo_for_members(
289
+
{"members": [target_did]}
290
+
)
291
+
292
+
if not convo_response or not convo_response.convo:
293
+
print(f"Could not create/get conversation with {target_handle}")
294
+
return False
295
+
296
+
recipient = None
297
+
for member in convo_response.convo.members:
298
+
if member.did != client.me.did:
299
+
recipient = member
300
+
break
301
+
302
+
if not recipient or recipient.handle != target_handle:
303
+
print(
304
+
f"ERROR: About to message wrong person! Expected {target_handle}, but found {recipient.handle if recipient else 'no recipient'}"
305
+
)
306
+
return False
307
+
308
+
chat_client.chat.bsky.convo.send_message(
309
+
data={
310
+
"convoId": convo_response.convo.id,
311
+
"message": {"text": message, "facets": []},
312
+
}
313
+
)
314
+
315
+
print(f"DM sent to {target_handle}")
316
+
return True
317
+
318
+
except Exception as e:
319
+
print(f"Error sending DM to {target_handle}: {e}")
320
+
return False
321
+
322
+
323
+
def flight_matches_filters(flight: Flight, filters: dict[str, list[str]]) -> bool:
324
+
"""Check if a flight matches the subscriber's filters."""
325
+
if not filters:
326
+
return True
327
+
328
+
for field, allowed_values in filters.items():
329
+
if not allowed_values:
330
+
continue
331
+
332
+
flight_value = getattr(flight, field, None)
333
+
if flight_value is None:
334
+
return False
335
+
336
+
if field == "aircraft_type":
337
+
# Case-insensitive partial matching for aircraft types
338
+
flight_value_lower = str(flight_value).lower()
339
+
if not any(allowed.lower() in flight_value_lower for allowed in allowed_values):
340
+
return False
341
+
else:
342
+
# Exact matching for other fields
343
+
if str(flight_value) not in [str(v) for v in allowed_values]:
344
+
return False
345
+
346
+
return True
347
+
348
+
349
+
def process_subscriber(
350
+
client: Client,
351
+
settings: Settings,
352
+
subscriber: Subscriber,
353
+
notified_flights: dict[str, set[str]],
354
+
) -> None:
355
+
"""Process flights for a single subscriber."""
356
+
try:
357
+
flights = get_flights_in_area(
358
+
settings, subscriber.latitude, subscriber.longitude, subscriber.radius_miles
359
+
)
360
+
361
+
if subscriber.handle not in notified_flights:
362
+
notified_flights[subscriber.handle] = set()
363
+
364
+
subscriber_notified = notified_flights[subscriber.handle]
365
+
filtered_count = 0
366
+
367
+
for flight in flights:
368
+
flight_id = flight.hex
369
+
370
+
if not flight_matches_filters(flight, subscriber.filters):
371
+
filtered_count += 1
372
+
continue
373
+
374
+
if flight_id not in subscriber_notified:
375
+
message = format_flight_info(flight, subscriber.message_template)
376
+
print(f"\n[{subscriber.handle}] {message}\n")
377
+
378
+
if send_dm(client, message, subscriber.handle):
379
+
print(f"DM sent to {subscriber.handle} for flight {flight_id}")
380
+
subscriber_notified.add(flight_id)
381
+
else:
382
+
print(
383
+
f"Failed to send DM to {subscriber.handle} for flight {flight_id}"
384
+
)
385
+
386
+
current_flight_ids = {f.hex for f in flights}
387
+
notified_flights[subscriber.handle] &= current_flight_ids
388
+
389
+
if not flights:
390
+
print(
391
+
f"[{subscriber.handle}] No flights in range at {datetime.now().strftime('%H:%M:%S')}"
392
+
)
393
+
elif filtered_count > 0 and filtered_count == len(flights):
394
+
print(
395
+
f"[{subscriber.handle}] {filtered_count} flights filtered out at {datetime.now().strftime('%H:%M:%S')}"
396
+
)
397
+
398
+
except Exception as e:
399
+
print(f"Error processing subscriber {subscriber.handle}: {e}")
400
+
401
+
402
+
def load_subscribers(subscribers_input: str | None) -> list[Subscriber]:
403
+
"""Load subscribers from JSON file or stdin."""
404
+
if subscribers_input:
405
+
with open(subscribers_input, "r") as f:
406
+
data = json.load(f)
407
+
else:
408
+
print("Reading subscriber data from stdin (provide JSON array)...")
409
+
data = json.load(sys.stdin)
410
+
411
+
return [Subscriber(**item) for item in data]
412
+
413
+
414
+
def main():
415
+
"""Main monitoring loop."""
416
+
parser = argparse.ArgumentParser(
417
+
description="Monitor flights overhead and send BlueSky DMs"
418
+
)
419
+
420
+
parser.add_argument(
421
+
"--subscribers",
422
+
type=str,
423
+
help="JSON file with subscriber list, or '-' for stdin",
424
+
)
425
+
parser.add_argument(
426
+
"--latitude", type=float, default=41.8781, help="Latitude (default: Chicago)"
427
+
)
428
+
parser.add_argument(
429
+
"--longitude", type=float, default=-87.6298, help="Longitude (default: Chicago)"
430
+
)
431
+
parser.add_argument(
432
+
"--radius", type=float, default=5.0, help="Radius in miles (default: 5)"
433
+
)
434
+
parser.add_argument(
435
+
"--handle",
436
+
type=str,
437
+
default="alternatebuild.dev",
438
+
help="BlueSky handle to DM (default: alternatebuild.dev)",
439
+
)
440
+
parser.add_argument(
441
+
"--filter-aircraft-type",
442
+
type=str,
443
+
nargs="+",
444
+
help="Filter by aircraft types (e.g., B737 A320 C172)",
445
+
)
446
+
parser.add_argument(
447
+
"--filter-callsign",
448
+
type=str,
449
+
nargs="+",
450
+
help="Filter by callsigns (e.g., UAL DL AAL)",
451
+
)
452
+
parser.add_argument(
453
+
"--filter-origin",
454
+
type=str,
455
+
nargs="+",
456
+
help="Filter by origin airports (e.g., ORD LAX JFK)",
457
+
)
458
+
parser.add_argument(
459
+
"--filter-destination",
460
+
type=str,
461
+
nargs="+",
462
+
help="Filter by destination airports (e.g., ORD LAX JFK)",
463
+
)
464
+
parser.add_argument(
465
+
"--message-template",
466
+
type=str,
467
+
help="Custom Jinja2 template for messages",
468
+
)
469
+
parser.add_argument(
470
+
"--message-template-file",
471
+
type=str,
472
+
help="Path to file containing custom Jinja2 template",
473
+
)
474
+
parser.add_argument(
475
+
"--interval",
476
+
type=int,
477
+
default=60,
478
+
help="Check interval in seconds (default: 60)",
479
+
)
480
+
parser.add_argument(
481
+
"--once", action="store_true", help="Run once and exit (for testing)"
482
+
)
483
+
parser.add_argument(
484
+
"--max-workers",
485
+
type=int,
486
+
default=5,
487
+
help="Max concurrent workers for processing subscribers (default: 5)",
488
+
)
489
+
args = parser.parse_args()
490
+
491
+
try:
492
+
settings = Settings()
493
+
except Exception as e:
494
+
print(f"Error loading settings: {e}")
495
+
print(
496
+
"Ensure .env file exists with BSKY_HANDLE, BSKY_PASSWORD, and FLIGHTRADAR_API_TOKEN"
497
+
)
498
+
return
499
+
500
+
client = Client()
501
+
try:
502
+
client.login(settings.bsky_handle, settings.bsky_password)
503
+
print(f"Logged in to BlueSky as {settings.bsky_handle}")
504
+
except Exception as e:
505
+
print(f"Error logging into BlueSky: {e}")
506
+
return
507
+
508
+
if args.subscribers:
509
+
if args.subscribers == "-":
510
+
subscribers_input = None
511
+
else:
512
+
subscribers_input = args.subscribers
513
+
514
+
try:
515
+
subscribers = load_subscribers(subscribers_input)
516
+
print(f"Loaded {len(subscribers)} subscriber(s)")
517
+
except Exception as e:
518
+
print(f"Error loading subscribers: {e}")
519
+
return
520
+
else:
521
+
# Build filters from CLI args
522
+
filters = {}
523
+
if args.filter_aircraft_type:
524
+
filters["aircraft_type"] = args.filter_aircraft_type
525
+
if args.filter_callsign:
526
+
filters["callsign"] = args.filter_callsign
527
+
if args.filter_origin:
528
+
filters["origin"] = args.filter_origin
529
+
if args.filter_destination:
530
+
filters["destination"] = args.filter_destination
531
+
532
+
# Load custom template if provided
533
+
message_template = None
534
+
if args.message_template_file:
535
+
with open(args.message_template_file, "r") as f:
536
+
message_template = f.read()
537
+
elif args.message_template:
538
+
message_template = args.message_template
539
+
540
+
subscribers = [
541
+
Subscriber(
542
+
handle=args.handle,
543
+
latitude=args.latitude,
544
+
longitude=args.longitude,
545
+
radius_miles=args.radius,
546
+
filters=filters,
547
+
message_template=message_template,
548
+
)
549
+
]
550
+
print(
551
+
f"Monitoring flights within {args.radius} miles of ({args.latitude}, {args.longitude}) for {args.handle}"
552
+
)
553
+
if filters:
554
+
print(f"Active filters: {filters}")
555
+
556
+
print(f"Checking every {args.interval} seconds...")
557
+
558
+
notified_flights: dict[str, set[str]] = {}
559
+
560
+
while True:
561
+
try:
562
+
with ThreadPoolExecutor(max_workers=args.max_workers) as executor:
563
+
futures = []
564
+
for subscriber in subscribers:
565
+
future = executor.submit(
566
+
process_subscriber,
567
+
client,
568
+
settings,
569
+
subscriber,
570
+
notified_flights,
571
+
)
572
+
futures.append(future)
573
+
574
+
for future in as_completed(futures):
575
+
future.result()
576
+
577
+
if args.once:
578
+
break
579
+
580
+
time.sleep(args.interval)
581
+
582
+
except KeyboardInterrupt:
583
+
print("\nStopping flight monitor...")
584
+
break
585
+
except Exception as e:
586
+
print(f"Error in monitoring loop: {e}")
587
+
time.sleep(args.interval)
588
+
589
+
590
+
if __name__ == "__main__":
591
+
main()
+2
-1
find-longest-bsky-thread
+2
-1
find-longest-bsky-thread
···
38
38
39
39
bsky_handle: str
40
40
bsky_password: str
41
+
bsky_pds_url: str = "https://bsky.social"
41
42
42
43
43
44
def extract_post_uri(bluesky_url: str) -> str:
···
171
172
)
172
173
return
173
174
174
-
client = Client()
175
+
client = Client(base_url=settings.bsky_pds_url)
175
176
try:
176
177
client.login(settings.bsky_handle, settings.bsky_password)
177
178
except Exception as e:
+268
find-stale-bsky-follows
+268
find-stale-bsky-follows
···
1
+
#!/usr/bin/env -S uv run --script --quiet
2
+
# /// script
3
+
# requires-python = ">=3.12"
4
+
# dependencies = ["atproto", "pydantic-settings", "rich"]
5
+
# ///
6
+
"""
7
+
Find stale/inactive accounts among those you follow on Bluesky.
8
+
9
+
Usage:
10
+
11
+
```bash
12
+
./find-stale-bsky-follows
13
+
# or with custom inactivity threshold (days)
14
+
./find-stale-bsky-follows --days 180
15
+
```
16
+
17
+
Details:
18
+
- uses [`atproto`](https://github.com/MarshalX/atproto) to fetch following list
19
+
- uses [`rich`](https://github.com/Textualize/rich) for pretty output
20
+
- identifies accounts with no recent posts
21
+
"""
22
+
23
+
import argparse
24
+
import os
25
+
from datetime import datetime, timedelta, timezone
26
+
from typing import NamedTuple
27
+
28
+
from atproto import Client
29
+
from pydantic_settings import BaseSettings, SettingsConfigDict
30
+
from rich.console import Console
31
+
from rich.progress import Progress, SpinnerColumn, TextColumn
32
+
from rich.table import Table
33
+
34
+
35
+
class Settings(BaseSettings):
36
+
"""App settings loaded from environment variables"""
37
+
38
+
model_config = SettingsConfigDict(
39
+
env_file=os.environ.get("ENV_FILE", ".env"), extra="ignore"
40
+
)
41
+
42
+
bsky_handle: str
43
+
bsky_password: str
44
+
bsky_pds_url: str = "https://bsky.social"
45
+
46
+
47
+
class AccountActivity(NamedTuple):
48
+
"""Activity information for a Bluesky account"""
49
+
50
+
handle: str
51
+
display_name: str | None
52
+
did: str
53
+
posts_count: int
54
+
last_post_date: datetime | None
55
+
days_inactive: int | None
56
+
is_stale: bool
57
+
58
+
59
+
def get_following_list(client: Client) -> list[dict]:
60
+
"""Fetch all accounts the authenticated user follows"""
61
+
following = []
62
+
cursor = None
63
+
64
+
while True:
65
+
assert client.me, "client.me should be set"
66
+
response = client.get_follows(client.me.did, cursor=cursor)
67
+
following.extend(response.follows)
68
+
69
+
if not response.cursor:
70
+
break
71
+
cursor = response.cursor
72
+
73
+
return following
74
+
75
+
76
+
def check_account_activity(
77
+
client: Client, actor: dict, inactivity_threshold_days: int
78
+
) -> AccountActivity:
79
+
"""
80
+
Check the activity of a single account.
81
+
82
+
Returns AccountActivity with stale status based on:
83
+
- No posts at all
84
+
- Last post older than threshold
85
+
"""
86
+
handle = actor.handle
87
+
did = actor.did
88
+
display_name = getattr(actor, "display_name", None)
89
+
90
+
try:
91
+
# Get the user's profile to check post count
92
+
profile = client.get_profile(handle)
93
+
posts_count = profile.posts_count or 0
94
+
95
+
# If no posts, immediately mark as stale
96
+
if posts_count == 0:
97
+
return AccountActivity(
98
+
handle=handle,
99
+
display_name=display_name,
100
+
did=did,
101
+
posts_count=0,
102
+
last_post_date=None,
103
+
days_inactive=None,
104
+
is_stale=True,
105
+
)
106
+
107
+
# Get author feed to find last post
108
+
feed_response = client.get_author_feed(actor=handle, limit=1)
109
+
110
+
last_post_date = None
111
+
if feed_response.feed:
112
+
last_post = feed_response.feed[0].post
113
+
if hasattr(last_post.record, "created_at"):
114
+
created_at_str = last_post.record.created_at
115
+
# Parse ISO 8601 timestamp
116
+
last_post_date = datetime.fromisoformat(
117
+
created_at_str.replace("Z", "+00:00")
118
+
)
119
+
120
+
# Calculate days inactive
121
+
if last_post_date:
122
+
days_inactive = (datetime.now(timezone.utc) - last_post_date).days
123
+
is_stale = days_inactive > inactivity_threshold_days
124
+
else:
125
+
# Has posts but couldn't determine date - consider stale
126
+
days_inactive = None
127
+
is_stale = True
128
+
129
+
return AccountActivity(
130
+
handle=handle,
131
+
display_name=display_name,
132
+
did=did,
133
+
posts_count=posts_count,
134
+
last_post_date=last_post_date,
135
+
days_inactive=days_inactive,
136
+
is_stale=is_stale,
137
+
)
138
+
139
+
except Exception as e:
140
+
# If we can't check activity, mark as potentially problematic
141
+
# (could be deleted, suspended, or private)
142
+
return AccountActivity(
143
+
handle=handle,
144
+
display_name=display_name,
145
+
did=did,
146
+
posts_count=0,
147
+
last_post_date=None,
148
+
days_inactive=None,
149
+
is_stale=True,
150
+
)
151
+
152
+
153
+
def format_account_link(handle: str) -> str:
154
+
"""Format a clickable Bluesky profile link"""
155
+
return f"https://bsky.app/profile/{handle}"
156
+
157
+
158
+
def main(inactivity_threshold_days: int):
159
+
"""Main function to find stale accounts"""
160
+
console = Console()
161
+
162
+
try:
163
+
settings = Settings() # type: ignore
164
+
except Exception as e:
165
+
console.print(
166
+
f"[red]Error loading settings (ensure .env file exists with BSKY_HANDLE and BSKY_PASSWORD): {e}[/red]"
167
+
)
168
+
return
169
+
170
+
client = Client(base_url=settings.bsky_pds_url)
171
+
try:
172
+
client.login(settings.bsky_handle, settings.bsky_password)
173
+
except Exception as e:
174
+
console.print(f"[red]Error logging into Bluesky: {e}[/red]")
175
+
return
176
+
177
+
console.print(f"[blue]Logged in as {client.me.handle}[/blue]")
178
+
console.print(
179
+
f"[blue]Checking for accounts inactive for more than {inactivity_threshold_days} days...[/blue]\n"
180
+
)
181
+
182
+
# Fetch following list
183
+
with Progress(
184
+
SpinnerColumn(),
185
+
TextColumn("[progress.description]{task.description}"),
186
+
console=console,
187
+
) as progress:
188
+
task = progress.add_task("Fetching following list...", total=None)
189
+
following = get_following_list(client)
190
+
progress.update(task, completed=True)
191
+
192
+
console.print(f"[green]Found {len(following)} accounts you follow[/green]\n")
193
+
194
+
# Check activity for each account
195
+
stale_accounts = []
196
+
with Progress(
197
+
SpinnerColumn(),
198
+
TextColumn("[progress.description]{task.description}"),
199
+
console=console,
200
+
) as progress:
201
+
task = progress.add_task("Analyzing account activity...", total=len(following))
202
+
203
+
for actor in following:
204
+
activity = check_account_activity(
205
+
client, actor, inactivity_threshold_days
206
+
)
207
+
if activity.is_stale:
208
+
stale_accounts.append(activity)
209
+
progress.advance(task)
210
+
211
+
# Display results
212
+
console.print(f"\n[yellow]Found {len(stale_accounts)} stale accounts:[/yellow]\n")
213
+
214
+
if stale_accounts:
215
+
table = Table(show_header=True, header_style="bold magenta")
216
+
table.add_column("Handle", style="cyan")
217
+
table.add_column("Display Name", style="white")
218
+
table.add_column("Posts", justify="right", style="blue")
219
+
table.add_column("Last Post", style="yellow")
220
+
table.add_column("Days Inactive", justify="right", style="red")
221
+
222
+
# Sort by days inactive (None values last)
223
+
stale_accounts.sort(
224
+
key=lambda x: (x.days_inactive is None, x.days_inactive or 0),
225
+
reverse=True,
226
+
)
227
+
228
+
for account in stale_accounts:
229
+
last_post = (
230
+
account.last_post_date.strftime("%Y-%m-%d")
231
+
if account.last_post_date
232
+
else "Never"
233
+
)
234
+
days = str(account.days_inactive) if account.days_inactive else "Unknown"
235
+
236
+
table.add_row(
237
+
f"@{account.handle}",
238
+
account.display_name or "[dim]No name[/dim]",
239
+
str(account.posts_count),
240
+
last_post,
241
+
days,
242
+
)
243
+
244
+
console.print(table)
245
+
246
+
# Print links for easy access
247
+
console.print("\n[dim]Profile links:[/dim]")
248
+
for account in stale_accounts[:10]: # Limit to first 10
249
+
console.print(f" {format_account_link(account.handle)}")
250
+
if len(stale_accounts) > 10:
251
+
console.print(f" [dim]... and {len(stale_accounts) - 10} more[/dim]")
252
+
else:
253
+
console.print("[green]All accounts you follow are active![/green]")
254
+
255
+
256
+
if __name__ == "__main__":
257
+
parser = argparse.ArgumentParser(
258
+
description="Find stale/inactive accounts you follow on Bluesky."
259
+
)
260
+
parser.add_argument(
261
+
"--days",
262
+
type=int,
263
+
default=180,
264
+
help="Number of days of inactivity to consider an account stale (default: 180)",
265
+
)
266
+
args = parser.parse_args()
267
+
268
+
main(args.days)
+298
predict-github-stars
+298
predict-github-stars
···
1
+
#!/usr/bin/env -S uv run --script --quiet
2
+
# /// script
3
+
# requires-python = ">=3.12"
4
+
# dependencies = ["httpx", "rich", "numpy", "scikit-learn", "python-dateutil", "pandas", "pydantic-settings"]
5
+
# ///
6
+
"""
7
+
Predict when a GitHub repository will reach a target number of stars.
8
+
9
+
Usage:
10
+
./predict-github-stars owner/repo 10000
11
+
12
+
Details:
13
+
- Uses GitHub REST API to fetch star history (with timestamps).
14
+
- Fits polynomial regression (degree 1–3) to full history.
15
+
- Falls back to recent‑trend linear extrapolation if the polynomial
16
+
cannot reach the target within ten years.
17
+
- Shows recent growth rate and a caution for long‑range estimates.
18
+
- Requires `GITHUB_TOKEN` in the environment for higher rate limits (optional).
19
+
"""
20
+
21
+
from __future__ import annotations
22
+
23
+
import argparse
24
+
import os
25
+
import sys
26
+
from datetime import datetime, timezone
27
+
28
+
import httpx
29
+
import numpy as np
30
+
import pandas as pd
31
+
from dateutil import parser as date_parser
32
+
from pydantic import Field
33
+
from pydantic_settings import BaseSettings, SettingsConfigDict
34
+
from rich.console import Console
35
+
from rich.panel import Panel
36
+
from rich.table import Table
37
+
from sklearn.linear_model import LinearRegression
38
+
from sklearn.metrics import r2_score
39
+
from sklearn.preprocessing import PolynomialFeatures
40
+
41
+
console = Console()
42
+
43
+
44
+
class Settings(BaseSettings):
45
+
"""Load settings (e.g. GitHub token) from environment."""
46
+
47
+
model_config = SettingsConfigDict(
48
+
env_file=os.environ.get("ENV_FILE", ".env"), extra="ignore"
49
+
)
50
+
github_token: str = Field(default="", description="GitHub API token")
51
+
52
+
53
+
# ──────────────────────────────── GitHub helpers ────────────────────────────────
54
+
55
+
56
+
def _headers(token: str | None = None) -> dict[str, str]:
57
+
h = {"Accept": "application/vnd.github.v3+json"}
58
+
if token:
59
+
h["Authorization"] = f"token {token}"
60
+
return h
61
+
62
+
63
+
def get_repo_data(owner: str, repo: str, token: str | None = None) -> dict:
64
+
url = f"https://api.github.com/repos/{owner}/{repo}"
65
+
with httpx.Client() as c:
66
+
r = c.get(url, headers=_headers(token))
67
+
r.raise_for_status()
68
+
return r.json()
69
+
70
+
71
+
def get_star_history(
72
+
owner: str, repo: str, token: str | None, total_stars: int
73
+
) -> list[tuple[datetime, int]]:
74
+
"""Return (timestamp, cumulative_star_count) pairs, sampled if repo is huge."""
75
+
hdrs = _headers(token)
76
+
hdrs["Accept"] = "application/vnd.github.v3.star+json" # need starred_at
77
+
78
+
history: list[tuple[datetime, int]] = []
79
+
80
+
if total_stars > 10_000:
81
+
# sample ~200 evenly‑spaced star indices
82
+
sample_points = 200
83
+
step = max(1, total_stars // sample_points)
84
+
pages_needed: dict[int, list[int]] = {}
85
+
for s in range(1, total_stars, step):
86
+
pg = (s - 1) // 100 + 1
87
+
idx = (s - 1) % 100
88
+
pages_needed.setdefault(pg, []).append(idx)
89
+
90
+
# always include final star
91
+
last_pg = (total_stars - 1) // 100 + 1
92
+
last_idx = (total_stars - 1) % 100
93
+
pages_needed.setdefault(last_pg, []).append(last_idx)
94
+
95
+
with httpx.Client() as c:
96
+
for pg, idxs in pages_needed.items():
97
+
url = f"https://api.github.com/repos/{owner}/{repo}/stargazers?page={pg}&per_page=100"
98
+
r = c.get(url, headers=hdrs)
99
+
r.raise_for_status()
100
+
data = r.json()
101
+
for i in sorted(set(idxs)):
102
+
if i < len(data) and "starred_at" in data[i]:
103
+
ts = date_parser.parse(data[i]["starred_at"])
104
+
history.append((ts, (pg - 1) * 100 + i + 1))
105
+
106
+
console.print(f"[dim]sampled {len(history)} points across star history[/dim]")
107
+
108
+
else:
109
+
# fetch all pages
110
+
page = 1
111
+
with httpx.Client() as c:
112
+
while True:
113
+
url = f"https://api.github.com/repos/{owner}/{repo}/stargazers?page={page}&per_page=100"
114
+
r = c.get(url, headers=hdrs)
115
+
r.raise_for_status()
116
+
data = r.json()
117
+
if not data:
118
+
break
119
+
for i, star in enumerate(data):
120
+
if "starred_at" in star:
121
+
ts = date_parser.parse(star["starred_at"])
122
+
history.append((ts, (page - 1) * 100 + i + 1))
123
+
page += 1
124
+
125
+
# ensure order and anchor today’s count
126
+
history.sort(key=lambda t: t[0])
127
+
if history and history[-1][1] < total_stars:
128
+
history.append((datetime.now(timezone.utc), total_stars))
129
+
return history
130
+
131
+
132
+
# ──────────────────────────────── modelling ─────────────────────────────────────
133
+
134
+
135
+
def best_poly_fit(
136
+
X: np.ndarray, y: np.ndarray
137
+
) -> tuple[LinearRegression, PolynomialFeatures, int, float]:
138
+
best_r2 = -1.0
139
+
best_model: LinearRegression | None = None
140
+
best_poly: PolynomialFeatures | None = None
141
+
best_deg = 1
142
+
for deg in (1, 2, 3):
143
+
poly = PolynomialFeatures(degree=deg)
144
+
Xpoly = poly.fit_transform(X)
145
+
model = LinearRegression().fit(Xpoly, y)
146
+
r2 = r2_score(y, model.predict(Xpoly))
147
+
if r2 > best_r2:
148
+
best_r2, best_model, best_poly, best_deg = r2, model, poly, deg
149
+
return best_model, best_poly, best_deg, best_r2 # type: ignore
150
+
151
+
152
+
def predict_date(history: list[tuple[datetime, int]], target: int) -> datetime | None:
153
+
if len(history) < 10:
154
+
return None
155
+
origin = history[0][0]
156
+
X = np.array([(t - origin).total_seconds() / 86400 for t, _ in history]).reshape(
157
+
-1, 1
158
+
)
159
+
y = np.array([s for _, s in history])
160
+
161
+
model, poly, deg, r2 = best_poly_fit(X, y)
162
+
console.print(f"[dim]best fit: degree {deg} polynomial (r² = {r2:.3f})[/dim]")
163
+
164
+
current_day = X[-1, 0]
165
+
for d in range(0, 3650): # up to 10 years
166
+
future = current_day + d
167
+
if model.predict(poly.transform([[future]]))[0] >= target:
168
+
return origin + pd.Timedelta(days=future)
169
+
return None
170
+
171
+
172
+
# ──────────────────────────────── utils ─────────────────────────────────────────
173
+
174
+
175
+
def timeframe_str(dt: datetime) -> str:
176
+
now = datetime.now(timezone.utc)
177
+
if dt <= now:
178
+
return "already reached"
179
+
days = (dt - now).days
180
+
if days == 0:
181
+
return "today"
182
+
if days == 1:
183
+
return "tomorrow"
184
+
if days < 7:
185
+
return f"in {days} days"
186
+
if days < 30:
187
+
return f"in {days // 7} week(s)"
188
+
if days < 365:
189
+
return f"in {days // 30} month(s)"
190
+
return f"in {days // 365} year(s)"
191
+
192
+
193
+
# ──────────────────────────────── main ──────────────────────────────────────────
194
+
195
+
196
+
def main() -> None:
197
+
p = argparse.ArgumentParser(
198
+
description="Predict when a GitHub repo will reach a target number of stars"
199
+
)
200
+
p.add_argument("repo", help="owner/repo")
201
+
p.add_argument("stars", type=int, help="target star count")
202
+
args = p.parse_args()
203
+
204
+
if "/" not in args.repo:
205
+
console.print("[red]error: repo must be owner/repo[/red]")
206
+
sys.exit(1)
207
+
owner, repo = args.repo.split("/", 1)
208
+
209
+
try:
210
+
settings = Settings() # load token
211
+
except Exception as e: # pragma: no cover
212
+
console.print(f"[red]error loading settings: {e}[/red]")
213
+
sys.exit(1)
214
+
token = settings.github_token.strip() or None
215
+
216
+
try:
217
+
repo_data = get_repo_data(owner, repo, token)
218
+
current_stars = repo_data["stargazers_count"]
219
+
created_at = date_parser.parse(repo_data["created_at"])
220
+
221
+
console.print(
222
+
Panel.fit(
223
+
f"[bold cyan]{owner}/{repo}[/bold cyan]\n"
224
+
f"[dim]current stars: {current_stars:,}\ncreated: {created_at:%Y-%m-%d}[/dim]",
225
+
border_style="blue",
226
+
)
227
+
)
228
+
229
+
if current_stars >= args.stars:
230
+
console.print("\n[green]✓ already at or above target![/green]")
231
+
sys.exit(0)
232
+
233
+
console.print("\nfetching star history…")
234
+
history = get_star_history(owner, repo, token, current_stars)
235
+
if not history:
236
+
console.print("[red]error: no star history[/red]")
237
+
sys.exit(1)
238
+
if len(history) > 1000: # down‑sample for speed
239
+
step = len(history) // 1000
240
+
history = history[::step] + [history[-1]]
241
+
242
+
console.print(f"[dim]analysing {len(history)} data points…[/dim]")
243
+
poly_date = predict_date(history, args.stars)
244
+
245
+
def recent_rate(window: int = 30) -> float:
246
+
cutoff = datetime.now(timezone.utc) - pd.Timedelta(days=window)
247
+
pts = [s for t, s in history if t >= cutoff]
248
+
return (pts[-1] - pts[0]) / window if len(pts) >= 2 else 0.0
249
+
250
+
rate = recent_rate() or recent_rate(90)
251
+
252
+
if poly_date:
253
+
out_date, tf = poly_date, timeframe_str(poly_date)
254
+
elif rate > 0:
255
+
days_needed = (args.stars - current_stars) / rate
256
+
out_date = datetime.now(timezone.utc) + pd.Timedelta(days=days_needed)
257
+
tf = timeframe_str(out_date)
258
+
console.print(
259
+
"[dim]poly model pessimistic; using recent growth trend[/dim]"
260
+
)
261
+
else:
262
+
console.print(
263
+
f"[red]✗ unlikely to reach {args.stars:,} stars in the next 10 years[/red]"
264
+
)
265
+
sys.exit(0)
266
+
267
+
table = Table(show_header=True, header_style="bold magenta")
268
+
table.add_column("metric")
269
+
table.add_column("value", style="white")
270
+
table.add_row("target stars", f"{args.stars:,}")
271
+
table.add_row("current stars", f"{current_stars:,}")
272
+
table.add_row("stars needed", f"{args.stars - current_stars:,}")
273
+
table.add_row("predicted date", out_date.strftime("%Y-%m-%d"))
274
+
table.add_row("timeframe", tf)
275
+
if rate:
276
+
table.add_row("recent growth", f"{rate:.1f} stars/day")
277
+
278
+
console.print()
279
+
console.print(table)
280
+
if "year" in tf and "1 year" not in tf:
281
+
console.print("\n[dim]⚠ prediction far in future; uncertainty high[/dim]")
282
+
283
+
except httpx.HTTPStatusError as e:
284
+
if e.response.status_code == 404:
285
+
msg = "repository not found"
286
+
elif e.response.status_code == 403:
287
+
msg = "rate limit exceeded (set GITHUB_TOKEN)"
288
+
else:
289
+
msg = f"GitHub API error {e.response.status_code}"
290
+
console.print(f"[red]error: {msg}[/red]")
291
+
sys.exit(1)
292
+
except Exception as e: # pragma: no cover
293
+
console.print(f"[red]error: {e}[/red]")
294
+
sys.exit(1)
295
+
296
+
297
+
if __name__ == "__main__":
298
+
main()
+42
-4
update-lights
+42
-4
update-lights
···
25
25
from pydantic import Field
26
26
from pydantic_ai.mcp import MCPServerStdio
27
27
from pydantic_ai.models import KnownModelName
28
+
from rich.console import Console
29
+
from rich.panel import Panel
30
+
from rich.prompt import Prompt
28
31
29
32
30
33
class Settings(BaseSettings):
···
32
35
33
36
hue_bridge_ip: str = Field(default=...)
34
37
hue_bridge_username: str = Field(default=...)
38
+
anthropic_api_key: str | None = Field(default=None)
35
39
36
-
ai_model: KnownModelName = Field(default="gpt-4o")
40
+
ai_model: KnownModelName = Field(default="anthropic:claude-opus-4-5")
37
41
38
42
39
43
settings = Settings()
44
+
console = Console()
40
45
41
46
hub_mcp = MCPServerStdio(
42
47
command="uvx",
···
51
56
52
57
53
58
if __name__ == "__main__":
59
+
import os
60
+
61
+
if settings.anthropic_api_key:
62
+
os.environ["ANTHROPIC_API_KEY"] = settings.anthropic_api_key
63
+
54
64
parser = argparse.ArgumentParser(description="Send a command to the Marvin agent.")
55
65
parser.add_argument(
56
66
"--message",
57
67
"-m",
58
68
type=str,
59
-
default="turn off all the lights",
60
-
help="The message to send to the agent (defaults to 'turn off all the lights').",
69
+
default="soft and dim - Jessica Pratt energy, all areas",
70
+
help="The message to send to the agent (defaults to 'soft and dim - Jessica Pratt energy, all areas').",
71
+
)
72
+
parser.add_argument(
73
+
"--once",
74
+
action="store_true",
75
+
help="Run once and exit instead of entering interactive mode.",
61
76
)
62
77
args = parser.parse_args()
63
78
···
65
80
model=settings.ai_model,
66
81
mcp_servers=[hub_mcp],
67
82
)
68
-
agent.run(str(args.message))
83
+
84
+
console.print(
85
+
Panel.fit(
86
+
f"[bold cyan]🏠 lights agent[/bold cyan]\n"
87
+
f"[dim]model: {settings.ai_model}[/dim]",
88
+
border_style="blue",
89
+
)
90
+
)
91
+
92
+
with marvin.Thread():
93
+
console.print(f"\n[bold yellow]→[/bold yellow] {args.message}")
94
+
agent.run(str(args.message))
95
+
96
+
if not args.once:
97
+
while True:
98
+
try:
99
+
user_input = Prompt.ask(
100
+
"\n[bold green]enter a message[/bold green]"
101
+
)
102
+
console.print(f"[bold yellow]→[/bold yellow] {user_input}")
103
+
agent.run(str(user_input))
104
+
except KeyboardInterrupt:
105
+
console.print("\n[dim red]exiting...[/dim red]")
106
+
break