csvlod-ai-mcp-server
Version:
CSVLOD-AI MCP Server v3.0 with Quantum Context Intelligence - Revolutionary Context Intelligence Engine and Multimodal Processor for sovereign AI development
123 lines • 5.08 kB
JavaScript
export class QuantumSuperposition {
constructor() {
this.states = new Map();
}
parseStates(quantumData) {
const lines = quantumData.split('\n');
for (const line of lines) {
if (line.includes('|') && line.includes('⟩')) {
const parts = line.trim().split(/\s+/);
if (parts.length >= 4) {
const file = parts[0];
const state = parts[1];
const probability = parseFloat(parts[2]);
const commits = parseInt(parts[3]);
this.states.set(file, {
file,
state,
probability,
commits,
superposition: this.calculateSuperposition(state, probability)
});
}
}
}
return this.states;
}
calculateSuperposition(state, probability) {
const possibleStates = ['active', 'evolving', 'stable', 'dormant', 'archived'];
const current = state.replace(/[|⟩]/g, '');
// File exists in multiple states with decreasing probability
const superposition = [current];
const currentIndex = possibleStates.indexOf(current);
if (currentIndex > 0) {
superposition.push(possibleStates[currentIndex - 1]);
}
if (currentIndex < possibleStates.length - 1) {
superposition.push(possibleStates[currentIndex + 1]);
}
return superposition;
}
collapse(states) {
const collapsed = new Map();
for (const [file, state] of states) {
// Observation causes wave function collapse
if (state.probability > 0.9) {
collapsed.set(file, state.state);
}
else if (state.probability < 0.1) {
collapsed.set(file, 'archive');
}
else {
// Probabilistic collapse
const random = Math.random();
if (random < state.probability) {
collapsed.set(file, state.superposition[0]);
}
else {
collapsed.set(file, state.superposition[1] || 'stable');
}
}
}
return collapsed;
}
calculateCoherence(states) {
// Quantum coherence = how well states maintain superposition
let totalCoherence = 0;
for (const state of states.values()) {
// High probability = low coherence (approaching classical state)
const coherence = 1 - Math.abs(state.probability - 0.5) * 2;
totalCoherence += coherence;
}
return states.size > 0 ? totalCoherence / states.size : 0;
}
findEntanglements(states) {
const entanglements = [];
const files = Array.from(states.keys());
for (let i = 0; i < files.length; i++) {
for (let j = i + 1; j < files.length; j++) {
const file1 = files[i];
const file2 = files[j];
// Files in same directory are entangled
const dir1 = file1.substring(0, file1.lastIndexOf('/'));
const dir2 = file2.substring(0, file2.lastIndexOf('/'));
if (dir1 === dir2) {
const entanglement = this.calculateEntanglement(states.get(file1), states.get(file2));
if (entanglement > 0.5) {
entanglements.push([file1, file2, entanglement]);
}
}
}
}
return entanglements.sort((a, b) => b[2] - a[2]);
}
predictNextStates(states) {
const predictions = new Map();
for (const [file, state] of states) {
const current = state.state.replace(/[|⟩]/g, '');
// Predict based on current state and activity
if (current === 'active' && state.commits > 10) {
predictions.set(file, 'stable');
}
else if (current === 'evolving' && state.probability > 0.8) {
predictions.set(file, 'active');
}
else if (current === 'stable' && state.commits === 0) {
predictions.set(file, 'dormant');
}
else if (current === 'dormant' && state.probability < 0.2) {
predictions.set(file, 'archived');
}
}
return predictions;
}
calculateEntanglement(state1, state2) {
// Entanglement based on state similarity and commit correlation
const stateSimilarity = state1.state === state2.state ? 0.5 : 0;
const commitCorrelation = Math.min(state1.commits, state2.commits) /
Math.max(state1.commits, state2.commits);
const probabilityCorrelation = 1 - Math.abs(state1.probability - state2.probability);
return (stateSimilarity + commitCorrelation + probabilityCorrelation) / 3;
}
}
//# sourceMappingURL=superposition.js.map