Skip to content

PLAN.md

Latest commit

 

History

History
61 lines (48 loc) · 3.55 KB

PLAN.md

File metadata and controls

61 lines (48 loc) · 3.55 KB
Raw

Execution Plan: Telegram-rs Documentation Site and Weather Bot

Overview

This plan outlines the steps to implement a Vite-based documentation website for the Telegram-rs library and a weather bot example. The documentation site will include API references, examples, and user-provided demo videos embedded from YouTube. The weather bot will use Telegram-rs for bot logic, OpenWeatherMap API for weather data, in-memory caching for scalability, and environment variables for secure API key handling. Deployment options include GitHub Pages or Vercel.

Objectives

  • Build a comprehensive documentation site to showcase Telegram-rs features.
  • Develop a functional weather bot example demonstrating library usage.
  • Ensure scalability, security, and ease of deployment.

Key Decisions

  • Documentation Site: Vite web app with React/Vue, deployed to GitHub Pages or Vercel.
  • Demo Videos: User-created and hosted on YouTube; embedded via iframe.
  • Weather Bot: Basic location query with OpenWeatherMap; in-memory cache (TTL 10-15 min); API key via env var.
  • No Video Generation: User handles video creation externally.

Phases and Steps

Phase 1: Setup and Foundation (1-2 days)

  1. Set up Vite project in docs/ directory with Markdown support and basic structure (home, API docs, examples, demos).
  2. Configure project dependencies in docs/package.json (Vite, React/Vue, any plugins for docs).
  3. Initialize basic pages and navigation for the site.

Phase 2: Documentation Site Development (3-4 days)

  1. Build core pages: Populate with content from README.md, PRD, and Rustdoc-generated API references.
  2. Create demos section with placeholders for YouTube video embeds (user provides iframe code).
  3. Implement responsive design, search functionality, and styling (e.g., Tailwind CSS).
  4. Test site locally and ensure embeds work.

Phase 3: Weather Bot Implementation (2-3 days)

  1. Create examples/weather_bot.rs based on existing bot examples (e.g., simple_bot.rs).
  2. Implement bot logic for /weather <location> commands using Telegram-rs client.
  3. Integrate OpenWeatherMap API: Add reqwest for HTTP calls, parse JSON responses.
  4. Add in-memory cache with 10-15 minute TTL using HashMap and Instant for storing weather data.
  5. Secure API key handling: Load from OPENWEATHER_API_KEY env var; document in example README.
  6. Add error handling for invalid locations, API failures, and rate limits.

Phase 4: Testing and Deployment (1-2 days)

  1. Test weather bot: Run locally with polling, simulate commands, verify cache and API integration.
  2. Update Cargo.toml for any new dependencies (e.g., reqwest if not present).
  3. Configure CI/CD: GitHub Actions for build/test/deploy to GitHub Pages; or link to Vercel for alternative deployment.
  4. Deploy site and test live; update main README.md with links to docs and weather bot example.

Dependencies and Tools

  • Rust: Telegram-rs library, reqwest, serde.
  • Frontend: Vite, React/Vue, Tailwind CSS.
  • Deployment: GitHub Pages (via Actions) or Vercel.
  • External: OpenWeatherMap API (free tier), YouTube for videos.

Risks and Mitigations

  • API Limits: OpenWeatherMap has rate limits; cache helps; monitor usage.
  • Video Embeds: Ensure YouTube iframes are responsive; test on mobile.
  • Deployment Issues: Have fallback (GitHub Pages if Vercel fails); test builds locally.

Validation

  • Site: Loads docs, embeds videos, responsive.
  • Bot: Handles queries, caches data, secure key usage.
  • Code: Passes cargo check, tests added.

This plan is ready for execution. Confirm to proceed.