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@@ -529,6 +523,11 @@

arc42 W @media print { .arc42help {display:none;} } + +img[alt="wiq-image"] { + width: 100px; + height: auto; +}
@@ -723,7 +722,7 @@

3. System Scope and Context

3.1. Business Context

-Deployment diagram +Deployment diagram
@@ -849,29 +848,7 @@

4.2. System Decomposition

-

4.3. Quality Goals

-
-
    -
  • -

    Performance: A quick system response will be sought, especially during question generation and gameplay.

    -
  • -
  • -

    Security: Security measures will be implemented to protect user information and ensure the integrity of generated questions.

    -
  • -
  • -

    Availability:

    -
  • -
  • -

    Responsiveness:

    -
  • -
  • -

    Usability: The system must be easy to use, with a simple and intuitive interface.

    -
  • -
-
-
-
-

4.4. Organizational Decisions

+

4.3. Organizational Decisions

Development Methodology: GitFlow will be adopted for project management, facilitating collaboration and iterative delivery.

@@ -895,13 +872,14 @@

4.4. Organizational Decisions

-

Building Block View

+
+

5. Building Block View

+

The Building Block View elaborates on the static structure of the system. It decomposes the system into building blocks like modules, components, subsystems, and others, detailing their responsibilities and relationships.

-
-

1. 5.1 Whitebox Overall System

-
+
+

5.1. Whitebox Overall System

This section provides an overview of the main components of the system and their interactions. The core of the system is the WIQ (QuestionGame) component, which interfaces with Users, Wikidata for question generation, a Database for persistence, and offers a REST API for External Developers.

@@ -910,14 +888,14 @@

1. 5.1 Whitebox Overall System

Whitebox overall
-
-

1.1. Motivation

+
+

5.1.1. Motivation

The decomposition provides a clear, high-level overview of how the WIQ system interacts with users, external services (Wikidata), stores data (Database), and interfaces with external developers through the REST API. This modularity supports scalability and maintainability.

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1.2. Contained Building Blocks

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5.1.2. Contained Building Blocks

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1.2. Contained Building Blocks

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-
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2. 5.2 Level 2

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5.2. Level 2

For Level 2 of the Building Block View, the WIQ (QuestionGame) system is further decomposed into four primary components that define its operational structure. Each component is designed to fulfill specific roles within the architecture, ensuring the system’s functionality and responsiveness to user interactions.

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2. 5.2 Level 2

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3. 5.3 Level 3

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5.3. Level 3

In Level 3, we take a closer look at the API Management component, breaking it down into two essential services: the Player Information API and the Question Information API. These services are fundamental to the system’s ability to interact with external applications, providing necessary functionalities with a focus on usability and security.

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3. 5.3 Level 3

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4. Runtime View

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6. Runtime View

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4.1. User Authentication

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6.1. User Authentication

Sequence diagram 1 @@ -1023,7 +998,7 @@

4.1. User Authentication

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4.2. Question Generation

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6.2. Question Generation

Sequence diagram 2 @@ -1031,7 +1006,7 @@

4.2. Question Generation

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4.3. User Responds to a Question

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6.3. User Responds to a Question

Sequence diagram 3 @@ -1039,7 +1014,7 @@

4.3. User Responds to a Question

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4.4. User Checks their History

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6.4. User Checks their History

Sequence diagram 4 @@ -1047,7 +1022,7 @@

4.4. User Checks their History

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4.5. Access to User Information via an API

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6.5. Access to User Information via an API

Sequence diagram 5 @@ -1055,7 +1030,7 @@

4.5. Access to User Information

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4.6. Access to Generated Questions Information via an API

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6.6. Access to Generated Questions Information via an API

Sequence diagram 6 @@ -1066,13 +1041,13 @@

4.6. Access to Ge

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5. Deployment View

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7. Deployment View

The deployment strategy for our game, which leverages the Wikidata API to dynamically generate questions, is built around a Docker-based infrastructure. This approach allows for the encapsulation of our Java Spring Boot application within a Docker container, simplifying deployments across different environments (development, testing, and production) while ensuring consistency and isolation.

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5.1. Infrastructure Level 1

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7.1. Infrastructure Level 1

Our application is containerized using Docker, enabling us to deploy the entire stack as a single .jar file that includes the web server. This method ensures that our application can be easily moved across environments or scaled up as needed without significant changes to the infrastructure.

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5.1. Infrastructure Level 1

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5.2. Infrastructure Level 2

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7.2. Infrastructure Level 2

At this level, we describe the Docker container configuration that encapsulates our application.

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5.2.1. Docker Container

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7.2.1. Docker Container

Our app’s Docker container is built from a Java base image, which is then layered with our application’s .jar file.

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5.2.1. Docker Container

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6. Cross-cutting Concepts

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8. Cross-cutting Concepts

The following concepts provide a foundation for the design and implementation of the trivia game project, which utilizes the Wikidata API for dynamic question generation and employs a hexagonal architecture for its Java Spring Boot application.

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6.1. Domain Model

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8.1. Domain Model

The domain model for our game includes entities such as Question, Category, Player, Role, and GameSession. These are crucial for representing the game’s data and logic. The model serves as the basis for interactions within the application and between the application and the database.

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6.1. Domain Model

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6.2. Hexagonal Architecture

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8.2. Hexagonal Architecture

Our application is structured using hexagonal architecture principles, which prioritize the separation of core logic from peripheral concerns like user interface and external API interactions.

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6.2. Hexagonal Architecture

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6.3. Java Persistence API (JPA) for Data Management

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8.3. Java Persistence API (JPA) for Data Management

We use JPA for data persistence to abstract and handle all database operations, allowing for a more streamlined and object-oriented approach to data handling.

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6.3. Java Persistence API

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6.4. Logging with Slf4j and System.out

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8.4. Logging with Slf4j and System.out

For monitoring runtime behavior and troubleshooting, the project utilizes Slf4j, bundled with Sprint Boot, and System.out for logging. While Slf4j offers more sophisticated logging capabilities, System.out is used for straightforward, immediate console output.

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6.4. Logging with Slf4j and System.o

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6.5. Security

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8.5. Security

Security is a key concern, ensuring that user data and game integrity are protected. We implement standard security practices at various levels within the application

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6.5. Security

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6.6. Performance Optimization

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8.6. Performance Optimization

Performance optimization is considered in all aspects of the application, from the efficient design of the domain model to the configuration of the persistence layer.

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6.6. Performance Optimization

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6.7. Continuous Integration and Continuous Deployment (CI/CD)

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8.7. Continuous Integration and Continuous Deployment (CI/CD)

The project adheres to CI/CD practices, facilitating automated testing, building, and deployment processes which contribute to the robustness and reliability of the application.

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6.7. Continuous

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6.8. Scalability

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8.8. Scalability

Designing for scalability, the application can accommodate an increasing number of users and interactions without performance degradation. .Explanation: @@ -1235,7 +1210,7 @@

6.8. Scalability

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7. Architecture Decisions

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9. Architecture Decisions

The purpose of this section is to create an ordered list of architectural decisions that we will make as we develop the project. This list will be ordered according to the importance of the decision.

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7. Architecture Decisions

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8. Quality Requirements

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10. Quality Requirements

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8.1. Quality Tree

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10.1. Quality Tree

Note: Items (1), (2), (3) in the table below repeat the higher-level quality requirements of Chapter 1.2.

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8.1. Quality Tree

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8.2. Quality Scenarios

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10.2. Quality Scenarios

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8.2. Quality Scenarios

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9. Risks and Technical Debts

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11. Risks and Technical Debts

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9. Risks and Technical Debts