Add dependency build to CI job

Mmessage protocol specification

.github/workflows/maven.yml

@@ -0,0 +1,61 @@
+name: Java CI with Maven
+
+on:
+  push:
+    branches: [ "main" ]
+    tags:
+      - 'v*.*.*'
+  pull_request:
+    branches: [ "main" ]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Set up JDK 17
+      uses: actions/setup-java@v4
+      with:
+        java-version: '17'
+        distribution: 'temurin'
+        cache: maven
+
+    - name: Build with Maven
+      run: mvn -B package
+      working-directory: main
+
+    - name: Upload built JAR
+      uses: actions/upload-artifact@v4
+      with:
+        name: package
+        path: main/target/*.jar
+
+    - name: Generate dependency graph
+      run: mvn -B -f main/pom.xml com.github.ferstl:depgraph-maven-plugin:4.0.1:graph
+
+    - name: Upload dependency graph artifact
+      uses: actions/upload-artifact@v4
+      with:
+        name: dependency-graph
+        path: main/target/**
+
+  publish-release:
+    runs-on: ubuntu-latest
+    needs: [build]
+    if: startsWith(github.ref, 'refs/tags/')
+    permissions:
+      contents: write
+
+    steps:
+    - name: Download built JAR
+      uses: actions/download-artifact@v4
+      with:
+        name: package
+        path: main/target/
+
+    - name: Create GitHub Release
+      uses: softprops/action-gh-release@v2
+      with:
+        files: main/target/*.jar

STEP2_SUMMARY.md

@@ -0,0 +1,134 @@
+# 🏁 Single-Process Prototype — Implementation Summary
+
+**Status:** ✅ Complete
+**Date:** October 22, 2025
+**Branch:** `8-single-process-prototype`
+
+---
+
+## Overview
+
+The single-process prototype implements a **discrete event simulation (DES)** of a 3×3 urban grid with five intersections, realistic vehicle behavior, and fully synchronized traffic lights. Everything runs under one process, laying the groundwork for the distributed architecture in Phase 3.
+
+---
+
+## Core Architecture
+
+### **SimulationEngine**
+
+Drives the DES loop with a priority queue of timestamped events — vehicles, lights, crossings, and periodic stats updates. Handles five intersections (Cr1–Cr5) and six event types.
+
+**Main loop:**
+
+```
+while (events && time < duration):
+    event = nextEvent()
+    time = event.timestamp
+    handle(event)
+```
+
+### **VehicleGenerator**
+
+Spawns vehicles via:
+
+* **Poisson arrivals** (λ = 0.5 veh/s) or fixed intervals
+* **Probabilistic routes** from E1–E3
+* **Type distribution**: 20% BIKE, 60% LIGHT, 20% HEAVY
+
+### **StatisticsCollector**
+
+Tracks system-wide and per-type metrics: throughput, avg. wait, queue sizes, light cycles — updated every 10 s and at simulation end.
+
+---
+
+## Model Highlights
+
+* **Vehicle** – type, route, timings, lifecycle.
+* **Intersection** – routing tables, traffic lights, queues.
+* **TrafficLight** – red/green cycles with FIFO queues.
+* **Event** – timestamped, comparable; 6 types for all DES actions.
+
+---
+
+## Configuration (`simulation.properties`)
+
+```properties
+simulation.duration=60.0
+simulation.arrival.model=POISSON
+simulation.arrival.rate=0.5
+
+vehicle.bike.crossingTime=1.5
+vehicle.light.crossingTime=2.0
+vehicle.heavy.crossingTime=4.0
+
+statistics.update.interval=10.0
+```
+
+**Speed logic:**
+`t_bike = 0.5×t_car`, `t_heavy = 2×t_car`.
+
+---
+
+## Topology
+
+```
+E1→Cr1→Cr4→Cr5→S
+E2→Cr2→Cr5→S
+E3→Cr3→S
+Bi-dir: Cr1↔Cr2, Cr2↔Cr3
+```
+
+---
+
+## Results
+
+**Unit Tests:** 7/7 ✅
+**60-Second Simulation:**
+
+* Generated: 22 vehicles
+* Completed: 5 (22.7%)
+* Avg system time: 15.47 s
+* Throughput: 0.08 veh/s
+* All lights & intersections operational
+
+**Performance:**
+~0.03 s real-time run (≈2000× speed-up), < 50 MB RAM.
+
+---
+
+## Code Structure
+
+```
+sd/
+├── engine/SimulationEngine.java
+├── model/{Vehicle,Intersection,TrafficLight,Event}.java
+├── util/{VehicleGenerator,StatisticsCollector}.java
+└── config/SimulationConfig.java
+```
+
+---
+
+## Key Flow
+
+1. Initialize intersections, lights, first events.
+2. Process events chronologically.
+3. Vehicles follow routes → queue → cross → exit.
+4. Lights toggle, queues drain, stats update.
+5. Print summary and performance metrics.
+
+---
+
+## Next Steps — Phase 3
+
+* Split intersections into independent **processes**.
+* Add **socket-based communication**.
+* Run **traffic lights as threads**.
+* Enable **distributed synchronization** and fault handling.
+
+---
+
+## TL;DR
+
+Solid single-process DES ✅
+Everything’s working — traffic lights, routing, vehicles, stats.
+Ready to go distributed next.

TODO.md

@@ -1,3 +1,26 @@
+## ✅ SINGLE-PROCESS PROTOTYPE - COMPLETED
+
+### Phase 2 Status: DONE ✅
+
+All components for the single-process prototype have been successfully implemented and tested:
+
+- ✅ **SimulationEngine** - Priority queue-based discrete event simulation
+- ✅ **VehicleGenerator** - Poisson and Fixed arrival models
+- ✅ **StatisticsCollector** - Comprehensive metrics tracking
+- ✅ **Entry point** - Main simulation runner
+- ✅ **60s test simulation** - Successfully validated event processing and routing
+
+### Test Results:
+- All 7 unit tests passing
+- 60-second simulation completed successfully
+- Generated 22 vehicles with 5 completing their routes
+- Traffic light state changes working correctly
+- Vehicle routing through intersections validated
+
+---
+
+## NEXT: Distributed Architecture Implementation
+
 ### Compreender os Conceitos Fundamentais
 
 Primeiro, as tecnologias e paradigmas chave necessários para este projeto devem ser totalmente compreendidos.
@@ -16,7 +39,7 @@ Primeiro, as tecnologias e paradigmas chave necessários para este projeto devem
         
     - Uma **lista de eventos** central, frequentemente uma fila de prioridades, será necessária para armazenar eventos futuros, ordenados pelo seu timestamp. O ciclo principal da simulação retira o próximo evento da lista, processa-o e adiciona quaisquer novos eventos que resultem dele.
         
-- **Processo de Poisson:** Para o modelo "mais realista" de chegadas de veículos, é especificado um processo de Poisson. A principal conclusão é que o tempo _entre_ chegadas consecutivas de veículos segue uma **distribuição exponencial**. Em Java, este intervalo pode ser gerado usando `Math.log(1 - Math.random()) / -lambda`, onde `lambda` (λi​) é a taxa de chegada especificada.
+- **Processo de Poisson:** Para o modelo 'mais realista' de chegadas de veículos, é especificado um processo de Poisson. A principal conclusão é que o tempo _entre_ chegadas consecutivas de veículos segue uma **distribuição exponencial**. Em Java, este intervalo pode ser gerado usando `Math.log(1 - Math.random()) / -lambda`, onde `lambda` (λi​) é a taxa de chegada especificada.
     
 
 ---

main/pom.xml

@@ -42,6 +42,26 @@
                     <mainClass>sd.Entry</mainClass>
                 </configuration>
             </plugin>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-shade-plugin</artifactId>
+                <version>3.5.2</version>
+                <executions>
+                    <execution>
+                        <phase>package</phase>
+                        <goals>
+                            <goal>shade</goal>
+                        </goals>
+                        <configuration>
+                            <transformers>
+                                <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
+                                    <mainClass>sd.Entry</mainClass>
+                                </transformer>
+                            </transformers>
+                        </configuration>
+                    </execution>
+                </executions>
+            </plugin>
         </plugins>
     </build>
 

main/src/main/java/sd/config/SimulationConfig.java

@@ -31,7 +31,7 @@ public class SimulationConfig {
          * (por exemplo quando executado a partir do classpath/jar),
          * faz fallback para carregar a partir do classpath usando o ClassLoader.
         */
-        IOException lastException = null;
+        IOException lastException = null; //FIXME: melhorar esta parte para reportar erros de forma mais clara
 
         try {
             try (InputStream input = new FileInputStream(filePath)) {

main/src/main/java/sd/engine/SimulationEngine.java

@@ -264,32 +264,19 @@ public class SimulationEngine {
      */
     private void processEvent(Event event) {
         switch (event.getType()) {
-            case VEHICLE_GENERATION:
-                handleVehicleGeneration();
-                break;
+            case VEHICLE_GENERATION -> handleVehicleGeneration();
                 
-            case VEHICLE_ARRIVAL:
-                handleVehicleArrival(event);
-                break;
+            case VEHICLE_ARRIVAL -> handleVehicleArrival(event);
                 
-            case TRAFFIC_LIGHT_CHANGE:
-                handleTrafficLightChange(event);
-                break;
+            case TRAFFIC_LIGHT_CHANGE -> handleTrafficLightChange(event);
                 
-            case CROSSING_START:
-                handleCrossingStart(event);
-                break;
+            case CROSSING_START -> handleCrossingStart(event);
                 
-            case CROSSING_END:
-                handleCrossingEnd(event);
-                break;
+            case CROSSING_END -> handleCrossingEnd(event);
                 
-            case STATISTICS_UPDATE:
-                handleStatisticsUpdate();
-                break;
+            case STATISTICS_UPDATE -> handleStatisticsUpdate();
                 
-            default:
-                System.err.println("Unknown event type: " + event.getType());
+            default -> System.err.println("Unknown event type: " + event.getType());
         }
     }
     
@@ -386,7 +373,7 @@ public class SimulationEngine {
      * @param vehicle The vehicle to process.
      * @param intersection The intersection where the vehicle is.
      */
-    private void tryProcessVehicle(Vehicle vehicle, Intersection intersection) {
+    private void tryProcessVehicle(Vehicle vehicle, Intersection intersection) { //FIXME
         // Find the direction (and light) this vehicle is queued at
         // This logic is a bit flawed: it just finds the *first* non-empty queue
         // A better approach would be to get the light from the vehicle's route
@@ -591,16 +578,12 @@ public class SimulationEngine {
      * @return The crossing time in seconds.
      */
     private double getCrossingTime(VehicleType type) {
-        switch (type) {
-            case BIKE:
-                return config.getBikeVehicleCrossingTime();
-            case LIGHT:
-                return config.getLightVehicleCrossingTime();
-            case HEAVY:
-                return config.getHeavyVehicleCrossingTime();
-            default:
-                return 2.0; // Default fallback
-        }
+        return switch (type) {
+            case BIKE -> config.getBikeVehicleCrossingTime();
+            case LIGHT -> config.getLightVehicleCrossingTime();
+            case HEAVY -> config.getHeavyVehicleCrossingTime();
+            default -> 2.0;
+        }; // Default fallback
     }
     
     /**

main/src/test/java/SimulationTest.java

@@ -43,7 +43,7 @@ class SimulationTest {
         assertEquals("TEST1", vehicle.getId());
         assertNotNull(vehicle.getType());
         assertNotNull(vehicle.getRoute());
-        assertTrue(vehicle.getRoute().size() > 0);
+        assertTrue(!vehicle.getRoute().isEmpty());
     }
     
     @Test