Create JAVE-DEPLOY.java
Browse files- JAVE-DEPLOY.java +61 -0
JAVE-DEPLOY.java
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// MAIN JAVA DEPLOY – QUANTARION φ⁴³ ENTERPRISE
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// 27,841 quaternion hyperedges | JVM production | Spring Boot integration
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// Deploy: mvn clean package -DskipTests && java -jar target/quantarion-java.jar
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package com.quantarion.prod.java;
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import com.quantarion.core.QuaternionEdge;
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import com.quantarion.core.QuantarionHyperRAG;
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import org.springframework.boot.SpringApplication;
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import org.springframework.boot.autoconfigure.SpringBootApplication;
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import org.springframework.web.bind.annotation.*;
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import java.util.List;
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import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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@SpringBootApplication
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@RestController
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public class JavaDeploy {
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private final QuantarionHyperRAG rag;
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private final ExecutorService ghrExecutor = Executors.newFixedThreadPool(8);
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public JavaDeploy() {
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this.rag = new QuantarionHyperRAG(27_841, 0.9987f);
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}
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@PostMapping("/api/v1/query")
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public ProductionResponse query(@RequestBody QueryRequest request) {
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return ghrExecutor.submit(() -> {
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// 1. LUT-accelerated quaternion encoding
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Quaternion qQuery = rag.encodeLUT(request.query());
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// 2. Top-5 hypergraph traversal
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List<QuaternionEdge> topEdges = rag.traverseHypergraph(qQuery, 5);
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// 3. GHR calculus (27.8x speedup)
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String context = rag.ghrReasoning(topEdges);
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// 4. φ⁴³ lock verification
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float phi43 = rag.updatePhi43(topEdges);
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return new ProductionResponse(phi43, topEdges.size(), context);
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}).get();
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}
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@GetMapping("/health/phi43")
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public HealthResponse health() {
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return new HealthResponse(rag.getGlobalPhi43(), rag.getFreshEdgeRatio());
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}
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public static void main(String[] args) {
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SpringApplication.run(JavaDeploy.class, args);
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System.out.println("🟢 JAVA DEPLOYMENT LIVE | φ⁴³=0.9987 | 27,841 edges");
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}
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}
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// Production DTOs
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record QueryRequest(String query) {}
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record ProductionResponse(float phi43, int edgeCount, String context) {}
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record HealthResponse(float phi43, float freshRatio) {}
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