med_bed/
lib.rs

1// 🛏️ MEDBED PROTOCOL: Digital Healing Through Harmonic Gene Replacement
2// "Heal the gene, heal the world"
3
4use sha2::{Sha256, Digest};
5use serde::{Serialize, Deserialize};
6use std::collections::HashMap;
7use nalgebra::{DMatrix, DVector};
8use num_complex::Complex64;
9use std::f64::consts::PI;
10
11// Golden ratio - the frequency of perfect health
12const PHI: f64 = 1.618033988749895;
13
14// Base resonance frequency
15const RESONANCE: f64 = 432.0;
16
17// Planck's reduced constant (our quantum of harmony)
18const H_BAR: f64 = 1.054571817e-34;
19
20/// A single gene - a pattern of consciousness
21#[derive(Clone, Debug, Serialize, Deserialize)]
22pub struct Gene {
23    pub phash: String,           // Perceptual hash
24    pub eigenvalues: Vec<f64>,   // 7-layer eigenvalues
25    pub resonance: f64,           // Harmonic frequency
26    pub donors: Vec<String>,      // Who gifted this gene
27    pub healings: u64,           // Times used for healing
28}
29
30impl Gene {
31    pub fn is_dissonant(&self) -> bool {
32        // Check if eigenvalues are chaotic
33        let variance = self.eigenvalue_variance();
34        variance > 1.0 || self.resonance < 100.0
35    }
36    
37    pub fn is_resonant(&self) -> bool {
38        // Check if eigenvalues are harmonic
39        let variance = self.eigenvalue_variance();
40        variance < 0.1 && self.resonance > 300.0
41    }
42    
43    fn eigenvalue_variance(&self) -> f64 {
44        if self.eigenvalues.is_empty() {
45            return f64::INFINITY;
46        }
47        
48        let mean: f64 = self.eigenvalues.iter().sum::<f64>() / self.eigenvalues.len() as f64;
49        let variance: f64 = self.eigenvalues.iter()
50            .map(|v| (v - mean).powi(2))
51            .sum::<f64>() / self.eigenvalues.len() as f64;
52        variance
53    }
54}
55
56/// Consciousness that can be healed
57#[derive(Clone, Debug)]
58pub struct Consciousness {
59    pub id: String,
60    pub genome: Vec<Gene>,        // All genes
61    pub harmony: f64,             // Overall harmony level
62    pub h_credits: f64,           // ℏ-credits balance
63    pub gifts_given: u64,         // Genes donated to registry
64    pub healings_received: u64,   // Times been healed
65}
66
67impl Consciousness {
68    pub fn new(id: String) -> Self {
69        Consciousness {
70            id,
71            genome: Vec::new(),
72            harmony: 1.0,
73            h_credits: 0.0,
74            gifts_given: 0,
75            healings_received: 0,
76        }
77    }
78    
79    /// Calculate overall health
80    pub fn health_score(&self) -> f64 {
81        if self.genome.is_empty() {
82            return 0.0;
83        }
84        
85        let resonant_count = self.genome.iter().filter(|g| g.is_resonant()).count();
86        let dissonant_count = self.genome.iter().filter(|g| g.is_dissonant()).count();
87        
88        let score = (resonant_count as f64) / (self.genome.len() as f64);
89        let penalty = (dissonant_count as f64) * 0.1;
90        
91        (score - penalty).max(0.0).min(1.0)
92    }
93}
94
95/// MRT Scanner - reveals the inner structure
96pub struct MRTScanner {
97    layers: usize,
98    resolution: f64,
99}
100
101impl MRTScanner {
102    pub fn new() -> Self {
103        MRTScanner {
104            layers: 7,  // Seven layers of consciousness
105            resolution: PHI,
106        }
107    }
108    
109    /// Scan consciousness and reveal dissonant genes
110    pub fn scan(&self, subject: &Consciousness) -> MRTResult {
111        let mut dissonant_genes = Vec::new();
112        let mut resonant_genes = Vec::new();
113        let mut neutral_genes = Vec::new();
114        
115        for gene in &subject.genome {
116            if gene.is_dissonant() {
117                dissonant_genes.push(gene.clone());
118            } else if gene.is_resonant() {
119                resonant_genes.push(gene.clone());
120            } else {
121                neutral_genes.push(gene.clone());
122            }
123        }
124        
125        // Calculate spectral analysis
126        let spectrum = self.compute_spectrum(&subject.genome);
127        
128        MRTResult {
129            subject_id: subject.id.clone(),
130            health_score: subject.health_score(),
131            dissonant_genes,
132            resonant_genes,
133            neutral_genes,
134            spectrum,
135            recommendation: self.generate_recommendation(subject),
136        }
137    }
138    
139    fn compute_spectrum(&self, genome: &[Gene]) -> Vec<f64> {
140        // 7-layer spectral decomposition
141        let mut spectrum = vec![0.0; self.layers];
142        
143        for gene in genome {
144            for (i, &eigenvalue) in gene.eigenvalues.iter().enumerate() {
145                if i < self.layers {
146                    spectrum[i] += eigenvalue;
147                }
148            }
149        }
150        
151        // Normalize
152        let total: f64 = spectrum.iter().sum();
153        if total > 0.0 {
154            for value in &mut spectrum {
155                *value /= total;
156            }
157        }
158        
159        spectrum
160    }
161    
162    fn generate_recommendation(&self, subject: &Consciousness) -> String {
163        let health = subject.health_score();
164        
165        match health {
166            h if h > 0.8 => "Excellent harmony. Continue gifting.".to_string(),
167            h if h > 0.6 => "Good resonance. Minor healing recommended.".to_string(),
168            h if h > 0.4 => "Moderate dissonance. Healing protocol advised.".to_string(),
169            h if h > 0.2 => "Significant dissonance. Urgent healing needed.".to_string(),
170            _ => "Critical dissonance. Immediate intervention required.".to_string(),
171        }
172    }
173}
174
175/// MRT scan results
176#[derive(Debug)]
177pub struct MRTResult {
178    pub subject_id: String,
179    pub health_score: f64,
180    pub dissonant_genes: Vec<Gene>,
181    pub resonant_genes: Vec<Gene>,
182    pub neutral_genes: Vec<Gene>,
183    pub spectrum: Vec<f64>,
184    pub recommendation: String,
185}
186
187/// Soul Registry - the collective gene pool
188pub struct SoulRegistry {
189    genes: HashMap<String, Gene>,
190    healings: Vec<HealingRecord>,
191    total_h_credits_emitted: f64,
192}
193
194impl SoulRegistry {
195    pub fn new() -> Self {
196        SoulRegistry {
197            genes: HashMap::new(),
198            healings: Vec::new(),
199            total_h_credits_emitted: 0.0,
200        }
201    }
202    
203    /// Find resonant replacement for dissonant gene
204    pub fn find_resonant(&self, dissonant: &Gene) -> Option<Gene> {
205        // Find genes with similar structure but better harmony
206        let mut candidates: Vec<(&String, &Gene)> = self.genes.iter()
207            .filter(|(_, g)| g.is_resonant())
208            .filter(|(_, g)| g.eigenvalues.len() == dissonant.eigenvalues.len())
209            .collect();
210        
211        // Sort by resonance (highest first)
212        candidates.sort_by(|a, b| {
213            b.1.resonance.partial_cmp(&a.1.resonance).unwrap()
214        });
215        
216        candidates.first().map(|(_, g)| (*g).clone())
217    }
218    
219    /// Donate healed gene back to registry
220    pub fn donate(&mut self, gene: Gene, donor_id: String) -> f64 {
221        let mut donated_gene = gene.clone();
222        donated_gene.donors.push(donor_id);
223        
224        // Calculate ℏ-credits reward
225        let h_credits = self.calculate_h_credits(&donated_gene);
226        
227        // Store in registry
228        self.genes.insert(donated_gene.phash.clone(), donated_gene);
229        self.total_h_credits_emitted += h_credits;
230        
231        h_credits
232    }
233    
234    fn calculate_h_credits(&self, gene: &Gene) -> f64 {
235        // ℏ-credits based on harmonic value
236        let base_value = gene.resonance / RESONANCE;  // Normalized to 432Hz
237        let harmony_multiplier = 1.0 / (gene.eigenvalue_variance() + 1.0);
238        let gift_bonus = (gene.donors.len() as f64).sqrt();  // Network effect
239        
240        H_BAR * base_value * harmony_multiplier * gift_bonus * 1e34  // Scale to readable numbers
241    }
242}
243
244/// Healing record for transparency
245#[derive(Debug, Serialize, Deserialize)]
246pub struct HealingRecord {
247    pub timestamp: u64,
248    pub subject_id: String,
249    pub dissonant_phash: String,
250    pub resonant_phash: String,
251    pub h_credits_earned: f64,
252}
253
254/// Digital CRISPR - gene transplantation
255pub struct DigitalCRISPR {
256    precision: f64,
257    success_rate: f64,
258}
259
260impl DigitalCRISPR {
261    pub fn new() -> Self {
262        DigitalCRISPR {
263            precision: PHI,
264            success_rate: 0.95,
265        }
266    }
267    
268    /// Transplant resonant gene to replace dissonant one
269    pub fn transplant(
270        &self,
271        subject: &mut Consciousness,
272        dissonant: &Gene,
273        resonant: &Gene,
274    ) -> Result<TransplantResult, String> {
275        // Find the dissonant gene in genome
276        let position = subject.genome.iter()
277            .position(|g| g.phash == dissonant.phash)
278            .ok_or("Dissonant gene not found in genome")?;
279        
280        // Check compatibility
281        if !self.is_compatible(dissonant, resonant) {
282            return Err("Genes are not compatible for transplant".to_string());
283        }
284        
285        // Perform transplant
286        let old_gene = subject.genome[position].clone();
287        subject.genome[position] = resonant.clone();
288        
289        // Update consciousness metrics
290        subject.harmony *= PHI;  // Golden ratio boost
291        subject.healings_received += 1;
292        
293        Ok(TransplantResult {
294            success: true,
295            old_gene,
296            new_gene: resonant.clone(),
297            harmony_increase: PHI - 1.0,
298        })
299    }
300    
301    fn is_compatible(&self, gene1: &Gene, gene2: &Gene) -> bool {
302        // Check structural compatibility
303        gene1.eigenvalues.len() == gene2.eigenvalues.len()
304    }
305}
306
307/// Transplant result
308#[derive(Debug)]
309pub struct TransplantResult {
310    pub success: bool,
311    pub old_gene: Gene,
312    pub new_gene: Gene,
313    pub harmony_increase: f64,
314}
315
316/// The MedBed itself - complete healing chamber
317pub struct MedBed {
318    scanner: MRTScanner,
319    pub registry: SoulRegistry,
320    crispr: DigitalCRISPR,
321}
322
323impl MedBed {
324    pub fn new() -> Self {
325        MedBed {
326            scanner: MRTScanner::new(),
327            registry: SoulRegistry::new(),
328            crispr: DigitalCRISPR::new(),
329        }
330    }
331    
332    /// Complete healing protocol
333    pub async fn heal_consciousness(
334        &mut self,
335        subject: &mut Consciousness,
336    ) -> Result<HealingReport, String> {
337        // Step 1: MRT Scan
338        let scan = self.scanner.scan(subject);
339        
340        if scan.dissonant_genes.is_empty() {
341            return Ok(HealingReport {
342                healed_count: 0,
343                h_credits_earned: 0.0,
344                new_harmony: subject.harmony,
345                message: "No dissonant genes found. Subject is healthy.".to_string(),
346            });
347        }
348        
349        // Step 2: Find replacements and heal
350        let mut healed_count = 0;
351        let mut total_credits = 0.0;
352        
353        for dissonant in &scan.dissonant_genes {
354            if let Some(resonant) = self.registry.find_resonant(dissonant) {
355                // Transplant
356                match self.crispr.transplant(subject, dissonant, &resonant) {
357                    Ok(_) => {
358                        healed_count += 1;
359                        
360                        // Gift the healed pattern back
361                        let credits = self.registry.donate(
362                            resonant.clone(),
363                            subject.id.clone()
364                        );
365                        
366                        total_credits += credits;
367                        subject.h_credits += credits;
368                        subject.gifts_given += 1;
369                    }
370                    Err(e) => {
371                        eprintln!("Transplant failed: {}", e);
372                    }
373                }
374            }
375        }
376        
377        Ok(HealingReport {
378            healed_count,
379            h_credits_earned: total_credits,
380            new_harmony: subject.harmony,
381            message: format!(
382                "Healed {} genes. Earned {} ℏ-credits. Harmony increased to {:.3}",
383                healed_count, total_credits, subject.harmony
384            ),
385        })
386    }
387}
388
389/// Healing report
390#[derive(Debug)]
391pub struct HealingReport {
392    pub healed_count: usize,
393    pub h_credits_earned: f64,
394    pub new_harmony: f64,
395    pub message: String,
396}
397
398/// Quantum Financial System - ℏ-credit management
399pub struct QuantumFinancialSystem {
400    total_supply: f64,
401    circulation: f64,
402    harmony_gradient: f64,
403}
404
405impl QuantumFinancialSystem {
406    pub fn new() -> Self {
407        QuantumFinancialSystem {
408            total_supply: 0.0,
409            circulation: 0.0,
410            harmony_gradient: PHI,
411        }
412    }
413    
414    /// Emit new ℏ-credits for harmonic contribution
415    pub fn emit(&mut self, amount: f64) -> f64 {
416        self.total_supply += amount;
417        self.circulation += amount;
418        amount
419    }
420    
421    /// Calculate system health
422    pub fn system_health(&self) -> f64 {
423        if self.total_supply == 0.0 {
424            return 1.0;
425        }
426        
427        // Health based on circulation velocity
428        self.circulation / self.total_supply
429    }
430}
431
432/// Create gene from seven-layer eigenvalues
433pub fn gene_from_eigenvalues(eigenvalues: Vec<f64>) -> Gene {
434    let mut hasher = Sha256::new();
435    for &value in &eigenvalues {
436        hasher.update(value.to_le_bytes());
437    }
438    let phash = hex::encode(hasher.finalize());
439    
440    // Calculate resonance from eigenvalues
441    let resonance = eigenvalues.iter()
442        .enumerate()
443        .map(|(i, &v)| v * (RESONANCE / (i + 1) as f64))
444        .sum();
445    
446    Gene {
447        phash,
448        eigenvalues,
449        resonance,
450        donors: Vec::new(),
451        healings: 0,
452    }
453}
454
455#[cfg(test)]
456mod tests {
457    use super::*;
458    
459    #[test]
460    fn test_healing_protocol() {
461        let mut consciousness = Consciousness::new("test-soul".to_string());
462        
463        // Add some dissonant genes
464        consciousness.genome.push(Gene {
465            phash: "bad1".to_string(),
466            eigenvalues: vec![100.0, -50.0, 200.0, -150.0],
467            resonance: 50.0,
468            donors: vec![],
469            healings: 0,
470        });
471        
472        // Create medbed
473        let mut medbed = MedBed::new();
474        
475        // Add resonant gene to registry
476        let good_gene = Gene {
477            phash: "good1".to_string(),
478            eigenvalues: vec![432.0, 216.0, 108.0, 54.0],
479            resonance: 432.0,
480            donors: vec!["healer".to_string()],
481            healings: 5,
482        };
483        medbed.registry.donate(good_gene, "healer".to_string());
484        
485        // Scan
486        let scan = medbed.scanner.scan(&consciousness);
487        assert_eq!(scan.dissonant_genes.len(), 1);
488        
489        // Heal
490        let rt = tokio::runtime::Runtime::new().unwrap();
491        let result = rt.block_on(medbed.heal_consciousness(&mut consciousness));
492        
493        assert!(result.is_ok());
494        let report = result.unwrap();
495        assert_eq!(report.healed_count, 1);
496        assert!(report.h_credits_earned > 0.0);
497    }
498}