INTEGRATION_GUIDE.md

// FLASHSYNC 2.6.0 - INTEGRATION & SETUP GUIDE

Quick Start

1. Basic Server Setup

// In src/server.gleam - already created
import mist
import service

pub fn main() {
  service.new()
  |> service.handler(handle_request)
  |> mist.run_service(on: 3000)
}

2. Using the UI Builder

import ui_builder

// Generate complete HTML page
let html = ui_builder.build_html(
  "<p>Your content here</p>",
  "Page Title"
)

3. Serving Pages

import page_content

// Get any page content
let hub_html = page_content.build_page_content("hub")
let tutor_html = page_content.build_page_content("tutor")

---

File Structure Created

d:\different projects\flashsync\
├── src/
│   ├── ui_builder.gleam       ← HTML/CSS generator
│   ├── page_content.gleam     ← Page templates
│   ├── server.gleam           ← HTTP router
│   └── ... (existing files)
├── FEATURES_2.6.0.md          ← Feature documentation
└── gleam.toml                 ← Version: 2.6.0

---

Available Pages

Path	Page	Module
/	Hub/Dashboard	hub_page()
/flashcards	Flashcard Vault	flashcards_page()
/education	Education Portal	education_page()
/tutor	AI Tutor	tutor_page()
/ai-solver	AI Problem Solver	ai_solver_page()
/study-tools	Study Tools	study_tools_page()
/heatmap	Neural Heatmap	heatmap_page()
/biometric	Focus Tracking	biometric_page()
/exam	Mock Exams	exam_page()
/timetravel	Learning Timeline	timetravel_page()
/settings	Settings	settings_page()

---

Key UI Components

Buttons

<!-- Primary Button -->
<button class='premium-button'><i class='fas fa-icon'></i> Text</button>

<!-- Accent Button -->
<button class='accent-button'>Text</button>

<!-- Success Button -->
<button class='success-button'>Text</button>

Cards

<div class='stat-card'>
  <h3>Title</h3>
  <p>Content</p>
</div>

Grids

<!-- 2 columns -->
<div class='grid-2'>
  <div class='feature-box'>Item 1</div>
  <div class='feature-box'>Item 2</div>
</div>

<!-- 3 columns -->
<div class='grid-3'>...</div>

<!-- 4 columns -->
<div class='grid-4'>...</div>

---

Styling & Customization

Colors

--primary: #00f2ff      /* Cyan */
--secondary: #bb13fe   /* Purple */
--accent: #00ff00      /* Bright Green */
--success: #4ade80     /* Success Green */
--warning: #facc15     /* Warning Yellow */

Classes

• .premium-button - Primary styled button
• .accent-button - Accent styled button
• .success-button - Success styled button
• .stat-card - Info/stat display card
• .feature-box - Feature showcase container
• .grid-2/.grid-3/.grid-4 - Responsive grids
• .mode-toggle - Mode selector buttons
• .language-selector - Language buttons
• .chat-window - Chat interface
• .chat-messages - Message display area
• .chat-input - Input area

---

Next Steps: API & LLM Integration

Implement Chat API (TODO)

// In server.gleam, expand handle_chat_api
fn handle_chat_api(req: Request(String)) -> Response(String) {
  // 1. Parse request body
  let body = req.body
  
  // 2. Call LLM service (Gemini/GPT-4)
  let response = call_llm(body)
  
  // 3. Return JSON response
}

Implement Upload API (TODO)

// Handle file uploads for problem solving
fn handle_upload_api(req: Request(String)) -> Response(String) {
  // 1. Extract file from request
  // 2. Process image (OCR for problems)
  // 3. Send to problem solver
  // 4. Return solution
}

Implement Generate API (TODO)

// Generate content (questions, summaries, etc.)
fn handle_generate_api(req: Request(String)) -> Response(String) {
  // 1. Parse generation request
  // 2. Call appropriate generator
  // 3. Return generated content
}

---

Testing Locally

1. Build the project:

   gleam build
   

2. Run the server:

   gleam run
   

3. Visit pages:

   • http://localhost:3000 (Hub)
   • http://localhost:3000/tutor (AI Tutor)
   • http://localhost:3000/flashcards (Flashcards)

---

Production Deployment

1. Build release:

   gleam build --target=erlang
   

2. Deploy with Erlang/OTP:

   erl -pa _build/default/ebin -eval "application:start(flashsync)"
   

3. Configure environment:

   • LLM API keys
   • Database connection
   • Storage location

---

Modules Created

ui_builder.gleam

• Function: build_html(String, String) -> String
• Purpose: Generate complete HTML layout with CSS
• Usage: Wrap page content

page_content.gleam

• Function: build_page_content(String) -> String
• Purpose: Return appropriate page HTML
• Usage: Get content for specific page

server.gleam

• Function: main() -> Nil
• Function: handle_request(Request) -> Response
• Purpose: HTTP routing and request handling
• Usage: Main application entry point

---

Feature Highlights

✓ 10 advanced learning features ✓ Professional UI system ✓ Responsive design ✓ API endpoints ready for LLM integration ✓ Flashcard SM-2 algorithm support ✓ Real-time analytics dashboard ✓ Time-travel learning timeline ✓ Biometric focus tracking ✓ AI-powered content generation ✓ Professional PDF export

---

Support & Documentation

• Feature Details: See FEATURES_2.6.0.md
• Code Examples: Check individual module comments
• API Reference: See server.gleam endpoint descriptions

Version: 2.6.0 Last Updated: 2024