23 Commits

Author SHA1 Message Date
a360dc708e remove testing log file to clean up repository 2025-12-08 00:08:11 +00:00
3250d5a433 Merge pull request #39 from davidalves04/dev
dev merge
2025-12-07 23:58:33 +00:00
65cb0b52f6 Merge branch 'main' into dev 2025-12-07 23:55:33 +00:00
87a8a1bcb6 Merge pull request #38 from davidalves04/cleanup
Cleanup
2025-12-07 23:23:04 +00:00
bce15fe90f Merge branch 'dev' into cleanup 2025-12-07 23:21:44 +00:00
542ce9c8c0 Merge pull request #37 from davidalves04/javadoc
Javadoc
2025-12-07 23:18:41 +00:00
3a3756f701 Translate graph labels and titles to PT 2025-12-07 20:12:43 +00:00
Gaa56
b624cfe11e Documentation 2025-12-07 15:51:50 +00:00
David Alves
8fe4e564d3 Update Diagrama de arquitetura - SD.jpg 2025-12-04 22:27:01 +00:00
David Alves
e389c0711e Updated architecture diagram image 2025-12-04 22:25:55 +00:00
1b6ad03057 Merge pull request #35 from davidalves04/cleanup
Refactor Simulation Core & Enhance Dashboard UI
2025-11-27 20:20:34 +00:00
David Alves
24fe1c1d67 Update Diagrama de arquitetura - SD.drawio 2025-11-27 19:54:14 +00:00
David Alves
766eabbbe4 Update .gitignore 2025-11-27 15:49:03 +00:00
David Alves
d7b1de1fe3 Update Diagrama de arquitetura - SD.drawio 2025-11-27 15:47:30 +00:00
David Alves
96b3a66b96 Diagram update
@0x1eo @Gaa56 o que acham do diagrama? Mudariam/acrescentariam algo? As legendas, parecem-vos bem?
2025-11-27 15:46:02 +00:00
David Alves
29848b04a6 Update architecture diagram 2025-11-23 23:16:08 +00:00
043ba7d185 Add workflow_dispatch trigger to Maven CI 2025-11-23 22:12:35 +00:00
25f2876c34 Refactor GitHub Actions workflow for Maven build 2025-11-23 22:10:40 +00:00
7cbecc4fab Update Maven workflow for JDK setup and packaging 2025-11-23 22:00:49 +00:00
72db59415f Add Windows build job to Maven workflow 2025-11-23 21:53:33 +00:00
60b4f0c2b6 Add 'cleanup' branch to Maven CI workflow 2025-11-22 22:53:54 +00:00
81f842e2bb Change CI branch from 'main' to 'dev' 2025-11-19 20:54:47 +00:00
David Alves
108d2e544c Enunciado uploaded 2025-10-27 18:02:24 +00:00
14 changed files with 319 additions and 1098 deletions

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2
.gitignore vendored
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@@ -56,4 +56,4 @@ build/
dependency-reduced-pom.xml dependency-reduced-pom.xml
# Python env # Python env
venv/ venv/

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@@ -41,10 +41,10 @@ dwelling_times = [
medium['TempoMédioSistema'].mean(), medium['TempoMédioSistema'].mean(),
high['TempoMédioSistema'].mean() high['TempoMédioSistema'].mean()
] ]
plt.bar(['Low', 'Medium', 'High'], dwelling_times, color=['green', 'orange', 'red']) plt.bar(['Baixa', 'Média', 'Alta'], dwelling_times, color=['green', 'orange', 'red'])
plt.ylabel('Average Dwelling Time (s)') plt.ylabel('Tempo Médio no Sistema (s)')
plt.title('System Performance vs Load') plt.title('Desempenho do Sistema vs Carga')
plt.xlabel('Load Scenario') plt.xlabel('Cenário de Carga')
plt.grid(axis='y', alpha=0.3) plt.grid(axis='y', alpha=0.3)
for i, v in enumerate(dwelling_times): for i, v in enumerate(dwelling_times):
plt.text(i, v + 1, f'{v:.2f}s', ha='center', va='bottom') plt.text(i, v + 1, f'{v:.2f}s', ha='center', va='bottom')
@@ -59,10 +59,10 @@ completion_rates = [
medium['TaxaConclusão'].mean(), medium['TaxaConclusão'].mean(),
high['TaxaConclusão'].mean() high['TaxaConclusão'].mean()
] ]
plt.bar(['Low', 'Medium', 'High'], completion_rates, color=['green', 'orange', 'red']) plt.bar(['Baixa', 'Média', 'Alta'], completion_rates, color=['green', 'orange', 'red'])
plt.ylabel('Completion Rate (%)') plt.ylabel('Taxa de Conclusão (%)')
plt.title('Vehicle Completion Rate vs Load') plt.title('Taxa de Conclusão de Veículos vs Carga')
plt.xlabel('Load Scenario') plt.xlabel('Cenário de Carga')
plt.grid(axis='y', alpha=0.3) plt.grid(axis='y', alpha=0.3)
plt.ylim(0, 100) plt.ylim(0, 100)
for i, v in enumerate(completion_rates): for i, v in enumerate(completion_rates):
@@ -78,10 +78,10 @@ waiting_times = [
medium['TempoMédioEspera'].mean(), medium['TempoMédioEspera'].mean(),
high['TempoMédioEspera'].mean() high['TempoMédioEspera'].mean()
] ]
plt.bar(['Low', 'Medium', 'High'], waiting_times, color=['green', 'orange', 'red']) plt.bar(['Baixa', 'Média', 'Alta'], waiting_times, color=['green', 'orange', 'red'])
plt.ylabel('Average Waiting Time (s)') plt.ylabel('Tempo Médio de Espera (s)')
plt.title('Average Waiting Time vs Load') plt.title('Tempo Médio de Espera vs Carga')
plt.xlabel('Load Scenario') plt.xlabel('Cenário de Carga')
plt.grid(axis='y', alpha=0.3) plt.grid(axis='y', alpha=0.3)
for i, v in enumerate(waiting_times): for i, v in enumerate(waiting_times):
plt.text(i, v + 1, f'{v:.2f}s', ha='center', va='bottom') plt.text(i, v + 1, f'{v:.2f}s', ha='center', va='bottom')
@@ -91,44 +91,44 @@ plt.close()
# 4. Gráfico: Summary Statistics # 4. Gráfico: Summary Statistics
fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(14, 10)) fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(14, 10))
loads = ['Low', 'Medium', 'High'] loads = ['Baixa', 'Média', 'Alta']
# Vehicles generated # Vehicles generated
ax1.bar(loads, [low['VeículosGerados'].mean(), medium['VeículosGerados'].mean(), high['VeículosGerados'].mean()], color=['green', 'orange', 'red']) ax1.bar(loads, [low['VeículosGerados'].mean(), medium['VeículosGerados'].mean(), high['VeículosGerados'].mean()], color=['green', 'orange', 'red'])
ax1.set_title('Vehicles Generated') ax1.set_title('Veículos Gerados')
ax1.set_ylabel('Count') ax1.set_ylabel('Quantidade')
ax1.grid(axis='y', alpha=0.3) ax1.grid(axis='y', alpha=0.3)
# Vehicles completed # Vehicles completed
ax2.bar(loads, [low['VeículosCompletados'].mean(), medium['VeículosCompletados'].mean(), high['VeículosCompletados'].mean()], color=['green', 'orange', 'red']) ax2.bar(loads, [low['VeículosCompletados'].mean(), medium['VeículosCompletados'].mean(), high['VeículosCompletados'].mean()], color=['green', 'orange', 'red'])
ax2.set_title('Vehicles Completed') ax2.set_title('Veículos Concluídos')
ax2.set_ylabel('Count') ax2.set_ylabel('Quantidade')
ax2.grid(axis='y', alpha=0.3) ax2.grid(axis='y', alpha=0.3)
# Min/Max dwelling time # Min/Max dwelling time
x = range(3) x = range(3)
width = 0.35 width = 0.35
ax3.bar([i - width/2 for i in x], [low['TempoMínimoSistema'].mean(), medium['TempoMínimoSistema'].mean(), high['TempoMínimoSistema'].mean()], width, label='Min', color='lightblue') ax3.bar([i - width/2 for i in x], [low['TempoMínimoSistema'].mean(), medium['TempoMínimoSistema'].mean(), high['TempoMínimoSistema'].mean()], width, label='Mín', color='lightblue')
ax3.bar([i + width/2 for i in x], [low['TempoMáximoSistema'].mean(), medium['TempoMáximoSistema'].mean(), high['TempoMáximoSistema'].mean()], width, label='Max', color='darkblue') ax3.bar([i + width/2 for i in x], [low['TempoMáximoSistema'].mean(), medium['TempoMáximoSistema'].mean(), high['TempoMáximoSistema'].mean()], width, label='Máx', color='darkblue')
ax3.set_title('Min/Max Dwelling Time') ax3.set_title('Tempo no Sistema Mín/Máx')
ax3.set_ylabel('Time (s)') ax3.set_ylabel('Tempo (s)')
ax3.set_xticks(x) ax3.set_xticks(x)
ax3.set_xticklabels(loads) ax3.set_xticklabels(loads)
ax3.legend() ax3.legend()
ax3.grid(axis='y', alpha=0.3) ax3.grid(axis='y', alpha=0.3)
# Performance summary # Performance summary
metrics = ['Dwelling\nTime', 'Waiting\nTime', 'Completion\nRate'] metrics = ['Tempo no\nSistema', 'Tempo de\nEspera', 'Taxa de\nConclusão']
low_vals = [low['TempoMédioSistema'].mean(), low['TempoMédioEspera'].mean(), low['TaxaConclusão'].mean()] low_vals = [low['TempoMédioSistema'].mean(), low['TempoMédioEspera'].mean(), low['TaxaConclusão'].mean()]
med_vals = [medium['TempoMédioSistema'].mean(), medium['TempoMédioEspera'].mean(), medium['TaxaConclusão'].mean()] med_vals = [medium['TempoMédioSistema'].mean(), medium['TempoMédioEspera'].mean(), medium['TaxaConclusão'].mean()]
high_vals = [high['TempoMédioSistema'].mean(), high['TempoMédioEspera'].mean(), high['TaxaConclusão'].mean()] high_vals = [high['TempoMédioSistema'].mean(), high['TempoMédioEspera'].mean(), high['TaxaConclusão'].mean()]
x = range(len(metrics)) x = range(len(metrics))
width = 0.25 width = 0.25
ax4.bar([i - width for i in x], low_vals, width, label='Low', color='green') ax4.bar([i - width for i in x], low_vals, width, label='Baixa', color='green')
ax4.bar(x, med_vals, width, label='Medium', color='orange') ax4.bar(x, med_vals, width, label='Média', color='orange')
ax4.bar([i + width for i in x], high_vals, width, label='High', color='red') ax4.bar([i + width for i in x], high_vals, width, label='Alta', color='red')
ax4.set_title('Performance Summary') ax4.set_title('Resumo de Desempenho')
ax4.set_xticks(x) ax4.set_xticks(x)
ax4.set_xticklabels(metrics) ax4.set_xticklabels(metrics)
ax4.legend() ax4.legend()

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@@ -40,6 +40,7 @@ import sd.protocol.SocketConnection;
*/ */
public class ExitNodeProcess { public class ExitNodeProcess {
// --- Configuration and Networking ---
private final SimulationConfig config; private final SimulationConfig config;
private ServerSocket serverSocket; private ServerSocket serverSocket;

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@@ -2,7 +2,7 @@ package sd.protocol;
import java.io.Serializable; import java.io.Serializable;
import sd.model.MessageType; // Assuming MessageType is in sd.model or sd.protocol import sd.model.MessageType;
/** /**
* Contrato para todas as mensagens trocadas no simulador. * Contrato para todas as mensagens trocadas no simulador.

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@@ -30,9 +30,30 @@ import sd.serialization.SerializerFactory;
*/ */
public class SocketConnection implements Closeable { public class SocketConnection implements Closeable {
// --- Network Resources ---
/**
* The underlying TCP socket used for network communication.
*/
private final Socket socket; private final Socket socket;
/**
* The raw output stream for writing bytes to the network.
* Wrapped by {@link DataOutputStream} during message sending.
*/
private final OutputStream outputStream; private final OutputStream outputStream;
/**
* The raw input stream for reading bytes from the network.
* Wrapped by {@link DataInputStream} during message reception.
*/
private final InputStream inputStream; private final InputStream inputStream;
// --- Serialization ---
/**
* The serializer strategy used to convert objects to/from byte arrays (e.g., JSON).
*/
private final MessageSerializer serializer; private final MessageSerializer serializer;
/** Número máximo de tentativas de ligação antes de desistir (Fail-fast). */ /** Número máximo de tentativas de ligação antes de desistir (Fail-fast). */
@@ -169,7 +190,7 @@ public class SocketConnection implements Closeable {
} }
try { try {
// Lê um prefixo de 4 bytes - indicador de tamanho
DataInputStream dataIn = new DataInputStream(inputStream); DataInputStream dataIn = new DataInputStream(inputStream);
int length = dataIn.readInt(); int length = dataIn.readInt();

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