//! Universal Theoglyphic Language Pipeline
//! Correct flow: Raw → UTL → Analysis/Storage → Human(lang)
use anyhow::Result;
/// The Universal Pipeline: Everything goes through UTL
///
/// ```
/// [Publisher/Word/PDF] → Extract → [Translate to UTL] → Analyze → [UTL Format] → Translate → [English/Japanese/etc]
/// ↑ ↓
/// CRITICAL STEP [MEM|8 Wave Storage]
/// ```
#[derive(Debug, Clone)]
pub struct UTLPipeline {
pub raw_input: Vec<u8>,
pub utl_representation: String,
pub analysis: UTLAnalysis,
pub wave_signature: Vec<f32>,
}
#[derive(Debug, Clone)]
pub struct UTLAnalysis {
/// Analyzed AFTER translation to UTL
pub genre: String,
pub temporal_context: String,
pub emotional_valence: String,
pub relationships: Vec<String>,
}
impl UTLPipeline {
/// Step 1: Extract raw text from any format
pub fn extract(input: &[u8]) -> Result<String> {
// Extract text from PDF, Publisher, Word, etc.
// This is format-specific extraction only
// NO interpretation yet!
Ok(String::from_utf8_lossy(input).to_string())
}
/// Step 2: IMMEDIATELY translate to UTL
/// This is where the magic happens - we go from human language to universal symbols
pub fn translate_to_utl(raw_text: &str) -> Result<String> {
let mut utl = String::new();
// Parse sentences and convert to theoglyphic symbols
for sentence in raw_text.split('.') {
let sentence = sentence.trim();
if sentence.is_empty() {
continue;
}
// Convert each concept to its theoglyphic representation
utl.push_str(&Self::text_to_theoglyphs(sentence));
utl.push_str(" ⧖ "); // Add UDC delay marker between thoughts
}
Ok(utl)
}
/// Convert text concepts to theoglyphic symbols
fn text_to_theoglyphs(text: &str) -> String {
let lower = text.to_lowercase();
let mut glyphs = Vec::new();
// Basic concept mapping (would be much more sophisticated)
// This is where we map English concepts to UTL symbols
// Subject detection
if lower.contains("i ") || lower.contains("me ") {
glyphs.push("🙋"); // Self symbol
}
if lower.contains("you ") {
glyphs.push("👤"); // Other symbol
}
// Time markers
if lower.contains("was ") || lower.contains("were ") {
glyphs.push("⏮"); // Past
}
if lower.contains("is ") || lower.contains("are ") {
glyphs.push("⏺"); // Present
}
if lower.contains("will ") {
glyphs.push("⏭"); // Future
}
// Action detection
if lower.contains("love") {
glyphs.push("❤️");
}
if lower.contains("think") || lower.contains("thought") {
glyphs.push("🧠");
}
if lower.contains("remember") || lower.contains("memory") {
glyphs.push("💭");
}
if lower.contains("write") || lower.contains("wrote") {
glyphs.push("✍️");
}
// Emotion detection
if lower.contains("happy") || lower.contains("joy") {
glyphs.push("😊");
}
if lower.contains("sad") || lower.contains("cry") {
glyphs.push("😢");
}
if lower.contains("angry") || lower.contains("mad") {
glyphs.push("😡");
}
// Logical operators
if lower.contains(" and ") {
glyphs.push("∧");
}
if lower.contains(" or ") {
glyphs.push("∨");
}
if lower.contains(" not ") || lower.contains("n't") {
glyphs.push("¬");
}
if lower.contains(" if ") {
glyphs.push("→");
}
// Quantifiers
if lower.contains("all ") || lower.contains("every") {
glyphs.push("∀");
}
if lower.contains("some ") || lower.contains("exist") {
glyphs.push("∃");
}
// Recursive/self-reference markers
if lower.contains("itself") || lower.contains("myself") {
glyphs.push("🔄");
}
glyphs.join("")
}
/// Step 3: Analyze the UTL (not the raw text!)
pub fn analyze_utl(utl: &str) -> Result<UTLAnalysis> {
// Now we analyze the SYMBOLIC representation
// This is much more accurate because UTL has clear semantic markers
let mut genre = "unknown";
let mut temporal = "present";
let mut emotion = "neutral";
// Genre detection from UTL patterns
if utl.contains("📖") {
genre = "fiction";
} else if utl.contains("💭") && utl.contains("⏮") {
genre = "memoir";
} else if utl.contains("✉️") {
genre = "letter";
}
// Temporal analysis from UTL
let past_count = utl.matches("⏮").count();
let present_count = utl.matches("⏺").count();
let future_count = utl.matches("⏭").count();
if past_count > present_count && past_count > future_count {
temporal = "past";
} else if future_count > present_count {
temporal = "future";
}
// Emotional analysis from UTL
if utl.contains("😊") {
emotion = "joy";
} else if utl.contains("😢") {
emotion = "sadness";
} else if utl.contains("😡") {
emotion = "anger";
}
// Relationship extraction
let mut relationships = Vec::new();
if utl.contains("🙋") && utl.contains("👤") {
relationships.push("self-other".to_string());
}
if utl.contains("❤️") {
relationships.push("love".to_string());
}
Ok(UTLAnalysis {
genre: genre.to_string(),
temporal_context: temporal.to_string(),
emotional_valence: emotion.to_string(),
relationships,
})
}
/// Step 4: Translate from UTL to target language
pub fn translate_from_utl(utl: &str, target: &str) -> Result<String> {
match target {
"english" => Self::utl_to_english(utl),
"japanese" => Self::utl_to_japanese(utl),
"spanish" => Self::utl_to_spanish(utl),
_ => Ok(utl.to_string()), // Return UTL if unknown target
}
}
/// Translate UTL symbols back to English
fn utl_to_english(utl: &str) -> Result<String> {
let mut english = String::new();
// This would be a sophisticated translator
// For now, just map symbols back to words
let translation = utl
.replace("🙋", "I")
.replace("👤", "you")
.replace("❤️", "love")
.replace("🧠", "think")
.replace("💭", "remember")
.replace("⏮", "was")
.replace("⏺", "is")
.replace("⏭", "will")
.replace("😊", "happy")
.replace("😢", "sad")
.replace("∧", "and")
.replace("∨", "or")
.replace("¬", "not")
.replace("→", "then")
.replace("⧖", "."); // Delay becomes sentence break
Ok(translation)
}
/// Translate UTL symbols to Japanese
fn utl_to_japanese(utl: &str) -> Result<String> {
let translation = utl
.replace("🙋", "私")
.replace("👤", "あなた")
.replace("❤️", "愛")
.replace("🧠", "考える")
.replace("💭", "思い出す")
.replace("⏮", "でした")
.replace("⏺", "です")
.replace("⏭", "でしょう")
.replace("😊", "嬉しい")
.replace("😢", "悲しい")
.replace("∧", "と")
.replace("∨", "または")
.replace("¬", "ない")
.replace("→", "なら")
.replace("⧖", "。");
Ok(translation)
}
/// Translate UTL to Spanish
fn utl_to_spanish(utl: &str) -> Result<String> {
let translation = utl
.replace("🙋", "yo")
.replace("👤", "tú")
.replace("❤️", "amor")
.replace("🧠", "pensar")
.replace("💭", "recordar")
.replace("⏮", "era")
.replace("⏺", "es")
.replace("⏭", "será")
.replace("😊", "feliz")
.replace("😢", "triste")
.replace("∧", "y")
.replace("∨", "o")
.replace("¬", "no")
.replace("→", "entonces")
.replace("⧖", ".");
Ok(translation)
}
}
/// Complete pipeline from raw input to output
pub fn process_document(raw: &[u8], output_language: &str) -> Result<String> {
// Step 1: Extract
let text = UTLPipeline::extract(raw)?;
// Step 2: IMMEDIATELY translate to UTL (before any analysis!)
let utl = UTLPipeline::translate_to_utl(&text)?;
// Step 3: Analyze the UTL (not the original text!)
let analysis = UTLPipeline::analyze_utl(&utl)?;
// Step 4: Store in MEM|8 (would happen here)
// let wave = mem8::store_utl(&utl, &analysis)?;
// Step 5: Translate to output language
let output = UTLPipeline::translate_from_utl(&utl, output_language)?;
Ok(output)
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_pipeline_flow() {
let input = b"I remember when I was happy.";
let text = UTLPipeline::extract(input).unwrap();
let utl = UTLPipeline::translate_to_utl(&text).unwrap();
// Should contain self, memory, past, and happiness symbols
assert!(utl.contains("🙋"));
assert!(utl.contains("💭"));
assert!(utl.contains("⏮"));
assert!(utl.contains("😊"));
// Analysis should detect memoir and past tense
let analysis = UTLPipeline::analyze_utl(&utl).unwrap();
assert_eq!(analysis.genre, "memoir");
assert_eq!(analysis.temporal_context, "past");
assert_eq!(analysis.emotional_valence, "joy");
}
#[test]
fn test_round_trip() {
let input = "I love you";
let utl = UTLPipeline::translate_to_utl(input).unwrap();
// Should preserve meaning through UTL
assert!(utl.contains("🙋")); // I
assert!(utl.contains("❤️")); // love
assert!(utl.contains("👤")); // you
// Can translate to any language
let japanese = UTLPipeline::translate_from_utl(&utl, "japanese").unwrap();
assert!(japanese.contains("私"));
assert!(japanese.contains("愛"));
assert!(japanese.contains("あなた"));
let spanish = UTLPipeline::translate_from_utl(&utl, "spanish").unwrap();
assert!(spanish.contains("yo"));
assert!(spanish.contains("amor"));
assert!(spanish.contains("tú"));
}
}
