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blackroad-operating-system/docs/examples/canonical/096-chat-application.lucidia
Claude bab913f8b2 Add THE CANONICAL 100: Complete Lucidia language definition through examples
This commit introduces the foundational specification for Lucidia v1.0 - a set
of 100 working example programs that DEFINE the language through demonstration
rather than formal grammar.

Key Philosophy:
- Examples ARE the spec (not documentation OF the spec)
- AI systems learn by reading all 100 examples and extracting patterns
- Humans learn by working through examples sequentially
- No feature exists unless demonstrated in these examples

Structure:
- 001-010: Fundamentals (hello world → functions)
- 011-020: Data & Collections (lists, maps, sets)
- 021-030: Control Flow (if, loops, pattern matching)
- 031-040: Functions & Composition (map, filter, reduce, closures)
- 041-050: UI Basics (forms, inputs, validation)
- 051-060: Reactive Programming (state, watchers, events)
- 061-070: Consent & Privacy (permission system - CORE DIFFERENTIATOR)
- 071-080: Storage & Sync (local-first, cloud-optional)
- 081-090: AI Integration (intent → code, learning user style)
- 091-100: Complete Applications (todo, notes, chat, e-commerce)

Core Language Features Demonstrated:
✓ Intent over ceremony (write WHAT, not HOW)
✓ Consent as syntax (ask permission for: resource)
✓ Local-first storage (store locally, sync to cloud optional)
✓ AI-collaborative (### Intent comments become code)
✓ Reactive by default (state, watch, computed)
✓ Zero setup (runs in browser via WASM)
✓ Multi-paradigm (functional, OOP, reactive, agent-based)
✓ Gradual complexity (hello world → production apps)

Files Created:
- README.md - Learning philosophy and path
- INDEX.md - Complete reference table
- 001-100.lucidia - All example programs

Total: 102 files, ~3,500+ lines of example code

Why This Matters:
This is not just documentation. This IS Lucidia. Every parser, compiler,
AI assistant, and developer tool will be trained on these examples. They
are the permanent, immutable foundation of the language.

Next Steps:
1. Build parser that learns from these examples
2. Train AI to recognize and generate Lucidia patterns
3. Create browser playground with these as gallery
4. Use for academic paper and conference presentations

Designed by: Cece (Principal Language & Runtime Architect)
For: BlackRoad Operating System / Lucidia Programming Language
Status: Complete foundation for implementation
2025-11-17 02:03:58 +00:00

120 lines
2.3 KiB
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# 096: Chat Application
# Real-time messaging with WebSocket
state messages = []
state username = load "username" locally or null
state connected = false
state websocket = null
# Set username
if username == null:
ask "Choose a username:" -> username
store username locally as "username"
# Connect to chat server
connect():
ask permission for: network
purpose: "Connect to chat server"
if granted:
websocket = connect_websocket("wss://chat.example.com")
on websocket.connected:
connected = true
show "Connected to chat"
on websocket.message:
handle_message(event.data)
on websocket.disconnected:
connected = false
show "Disconnected from chat"
# Auto-reconnect after 5 seconds
wait(5000)
connect()
# Handle incoming messages
handle_message(data):
message = JSON.parse(data)
message.type is:
"chat": {
messages.append({
id: message.id,
user: message.user,
text: message.text,
timestamp: message.timestamp
})
# Limit to last 100 messages
if messages.length > 100:
messages = messages.slice(-100)
}
"user_joined": {
show "{message.user} joined the chat"
}
"user_left": {
show "{message.user} left the chat"
}
# Send message
state new_message = ""
form chat_input:
input new_message -> new_message
placeholder: "Type a message..."
on_enter: send_message()
button "Send" -> send_message()
send_message():
if new_message == "" or not connected: return
msg = {
type: "chat",
user: username,
text: new_message,
timestamp: now()
}
websocket.send(JSON.stringify(msg))
new_message = "" # Clear input
# Display messages
show_chat_window:
for message in messages:
show_message:
user: message.user
text: message.text
time: format_time(message.timestamp)
is_mine: message.user == username
# Status indicator
if connected:
show "🟢 Connected"
else:
show "🔴 Disconnected"
# Leave chat
button "Leave Chat" -> disconnect()
disconnect():
if websocket != null:
websocket.send(JSON.stringify({
type: "user_left",
user: username
}))
websocket.close()
# Initialize
on app.start:
connect()
# Clean up on exit
on app.close:
disconnect()
format_time(timestamp):
return "12:34 PM" # AI: Format timestamp