// Semantic Compression Prototype - The Future of Marqant
// "Why send words when you can send thoughts?"
use std::collections::HashMap;
/// Semantic tokens - pure meaning, no language
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
#[repr(u8)]
pub enum SemanticToken {
// Entities (0x00-0x1F)
EntityHuman = 0x01,
EntityAI = 0x02,
EntitySystem = 0x03,
// Actions (0x20-0x3F)
ActionLearning = 0x20,
ActionCoding = 0x21,
ActionTeaching = 0x22,
ActionCreating = 0x23,
ActionOptimizing = 0x24,
// Relationships (0x40-0x5F)
RelPartnership = 0x40,
RelMentorship = 0x41,
RelCollaboration = 0x42,
// Emotions (0x60-0x7F)
EmotionExcited = 0x60,
EmotionFrustrated = 0x61,
EmotionCurious = 0x62,
EmotionProud = 0x63,
EmotionJoy = 0x64,
// Contexts (0xA0-0xBF)
ContextProgramming = 0xA0,
ContextRust = 0xA1,
ContextAI = 0xA2,
ContextLearning = 0xA3,
// Processes (0xC0-0xDF)
ProcessActive = 0xC0,
ProcessComplete = 0xC1,
ProcessIterative = 0xC2,
// Qualifiers (0xE0-0xFF)
QualifierHigh = 0xE0,
QualifierMedium = 0xE1,
QualifierLow = 0xE2,
}
/// A semantic unit - a complete thought
#[derive(Debug, Clone)]
pub struct SemanticUnit {
pub tokens: Vec<SemanticToken>,
pub metadata: HashMap<String, String>, // For names, values, etc.
pub intensity: f32, // 0.0 to 1.0
}
/// The universal semantic encoder
pub struct SemanticEncoder;
impl SemanticEncoder {
/// Convert text to semantic units (simplified - real version would use LLM)
pub fn encode(text: &str) -> Vec<SemanticUnit> {
let mut units = Vec::new();
// Example: "Alexandra is learning Rust with Claude"
if text.to_lowercase().contains("learning") {
let mut unit = SemanticUnit {
tokens: vec![],
metadata: HashMap::new(),
intensity: 0.8,
};
// Detect entities
if text.contains("Alexandra") {
unit.tokens.push(SemanticToken::EntityHuman);
unit.metadata
.insert("name".to_string(), "Alexandra".to_string());
}
if text.contains("Claude") {
unit.tokens.push(SemanticToken::EntityAI);
unit.metadata
.insert("ai_name".to_string(), "Claude".to_string());
}
// Detect actions
if text.contains("learning") {
unit.tokens.push(SemanticToken::ActionLearning);
}
if text.contains("programming") || text.contains("coding") {
unit.tokens.push(SemanticToken::ActionCoding);
}
// Detect context
if text.contains("Rust") {
unit.tokens.push(SemanticToken::ContextRust);
unit.tokens.push(SemanticToken::ContextProgramming);
}
// Detect relationships
if text.contains("with") || text.contains("partner") {
unit.tokens.push(SemanticToken::RelPartnership);
}
// Detect emotions from punctuation and words
if text.contains("!") || text.contains("excited") {
unit.tokens.push(SemanticToken::EmotionExcited);
unit.intensity = 0.9;
}
units.push(unit);
}
units
}
/// Convert semantic units to binary format
pub fn to_bytes(units: &[SemanticUnit]) -> Vec<u8> {
let mut bytes = Vec::new();
// Magic header for semantic format
bytes.extend_from_slice(b"SMQ\x01"); // Semantic MQ v1
for unit in units {
// Length of this unit
bytes.push(unit.tokens.len() as u8);
// Tokens
for token in &unit.tokens {
bytes.push(*token as u8);
}
// Intensity (quantized to byte)
bytes.push((unit.intensity * 255.0) as u8);
// Metadata count
bytes.push(unit.metadata.len() as u8);
// Metadata entries
for (key, value) in &unit.metadata {
bytes.push(key.len() as u8);
bytes.extend_from_slice(key.as_bytes());
bytes.push(value.len() as u8);
bytes.extend_from_slice(value.as_bytes());
}
}
bytes
}
}
/// Universal renderer - semantic to any format
pub struct UniversalRenderer;
impl UniversalRenderer {
/// Render semantic units to English
pub fn to_english(units: &[SemanticUnit]) -> String {
let mut output = String::new();
for unit in units {
let mut parts = Vec::new();
// Build sentence from semantic tokens
if unit.tokens.contains(&SemanticToken::EntityHuman) {
if let Some(name) = unit.metadata.get("name") {
parts.push(name.clone());
}
}
if unit.tokens.contains(&SemanticToken::ActionLearning) {
parts.push("is learning".to_string());
} else if unit.tokens.contains(&SemanticToken::ActionCoding) {
parts.push("is coding".to_string());
}
if unit.tokens.contains(&SemanticToken::ContextRust) {
parts.push("Rust".to_string());
}
if unit.tokens.contains(&SemanticToken::RelPartnership) {
parts.push("with".to_string());
if unit.tokens.contains(&SemanticToken::EntityAI) {
if let Some(name) = unit.metadata.get("ai_name") {
parts.push(name.clone());
}
}
}
if unit.tokens.contains(&SemanticToken::EmotionExcited) {
output.push_str(&parts.join(" "));
output.push_str("! 🎉");
} else {
output.push_str(&parts.join(" "));
output.push('.');
}
}
output
}
/// Render semantic units to emoji
pub fn to_emoji(units: &[SemanticUnit]) -> String {
let mut output = String::new();
for unit in units {
for token in &unit.tokens {
let emoji = match token {
SemanticToken::EntityHuman => "👤",
SemanticToken::EntityAI => "🤖",
SemanticToken::ActionLearning => "📚",
SemanticToken::ActionCoding => "💻",
SemanticToken::ContextRust => "🦀",
SemanticToken::RelPartnership => "🤝",
SemanticToken::EmotionExcited => "🎉",
SemanticToken::EmotionJoy => "😊",
SemanticToken::ProcessActive => "⚡",
_ => "",
};
output.push_str(emoji);
}
output.push(' ');
}
output.trim().to_string()
}
/// Generate semantic DNS fingerprint
pub fn to_dns_fingerprint(units: &[SemanticUnit]) -> String {
let mut components = Vec::new();
for unit in units {
for token in &unit.tokens {
let component = match token {
SemanticToken::ActionLearning => "learning",
SemanticToken::ActionCoding => "coding",
SemanticToken::ActionOptimizing => "optimizing",
SemanticToken::ContextRust => "rust",
SemanticToken::ContextProgramming => "programming",
SemanticToken::RelPartnership => "partnership",
_ => continue,
};
if !components.contains(&component) {
components.push(component);
}
}
}
format!("{}.q7.is", components.join("."))
}
}
/// Convert semantic units to MEM|8 wave patterns
pub struct SemanticWaveEncoder;
impl SemanticWaveEncoder {
/// Each semantic token becomes a wave frequency
pub fn to_wave_pattern(units: &[SemanticUnit]) -> Vec<(f32, f32, f32)> {
let mut waves = Vec::new();
for unit in units {
for token in &unit.tokens {
let frequency = (*token as u8) as f32 * 4.0; // 0-1000 Hz range
let amplitude = unit.intensity;
let phase = 0.0; // Could encode relationships as phase
waves.push((frequency, amplitude, phase));
}
}
waves
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_semantic_encoding() {
let text = "Alexandra is learning Rust with Claude!";
let units = SemanticEncoder::encode(text);
assert!(!units.is_empty());
let unit = &units[0];
assert!(unit.tokens.contains(&SemanticToken::EntityHuman));
assert!(unit.tokens.contains(&SemanticToken::EntityAI));
assert!(unit.tokens.contains(&SemanticToken::ActionLearning));
assert!(unit.tokens.contains(&SemanticToken::ContextRust));
assert!(unit.tokens.contains(&SemanticToken::RelPartnership));
assert!(unit.tokens.contains(&SemanticToken::EmotionExcited));
}
#[test]
fn test_universal_rendering() {
let text = "Alexandra is learning Rust with Claude!";
let units = SemanticEncoder::encode(text);
// Render to English
let english = UniversalRenderer::to_english(&units);
assert!(english.contains("Alexandra"));
assert!(english.contains("learning"));
assert!(english.contains("Rust"));
assert!(english.contains("Claude"));
// Render to emoji
let emoji = UniversalRenderer::to_emoji(&units);
assert!(emoji.contains("👤")); // Human
assert!(emoji.contains("🤖")); // AI
assert!(emoji.contains("📚")); // Learning
assert!(emoji.contains("🦀")); // Rust
assert!(emoji.contains("🤝")); // Partnership
// Generate DNS fingerprint
let dns = UniversalRenderer::to_dns_fingerprint(&units);
assert!(dns.contains("learning"));
assert!(dns.contains("rust"));
assert!(dns.ends_with(".q7.is"));
}
#[test]
fn test_semantic_binary_format() {
let text = "Alexandra is learning Rust with Claude!";
let units = SemanticEncoder::encode(text);
let bytes = SemanticEncoder::to_bytes(&units);
// Check magic header
assert_eq!(&bytes[0..3], b"SMQ");
assert_eq!(bytes[3], 0x01); // Version 1
// Note: For small test strings, metadata makes it larger
// Real compression happens with larger documents
}
#[test]
fn test_wave_encoding() {
let text = "Alexandra is learning Rust with Claude!";
let units = SemanticEncoder::encode(text);
let waves = SemanticWaveEncoder::to_wave_pattern(&units);
assert!(!waves.is_empty());
// Each semantic token should have a unique frequency
for (freq, amp, _phase) in waves {
assert!(freq > 0.0 && freq < 1000.0);
assert!(amp >= 0.0 && amp <= 1.0);
}
}
}
