Exam 2

The Adapter Design Pattern can be used to create adapters for each of the third-party APIs, making them compatible with your mobile application’s unified interface. Here’s a textual representation of the solution:

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classDiagram
  class MobileApplication {
    + getWeatherInfo(): WeatherData
    + displayMap(location: string): void
    + postToSocialMedia(message: string): boolean
  }

  class WeatherAPI {
    + fetchWeather(location: string): WeatherInfo
  }

  class MapsAPI {
    + showMap(location: string): void
  }

  class SocialMediaAPI {
    + sharePost(message: string): boolean
  }

  interface ThirdPartyAPI {
    + getWeatherInfo(): WeatherData
    + displayMap(location: string): void
    + postToSocialMedia(message: string): boolean
  }

  class WeatherAPIAdapter {
    - weatherAPI: WeatherAPI
    + getWeatherInfo(): WeatherData
    + displayMap(location: string): void
    + postToSocialMedia(message: string): boolean
  }

  class MapsAPIAdapter {
    - mapsAPI: MapsAPI
    + getWeatherInfo(): WeatherData
    + displayMap(location: string): void
    + postToSocialMedia(message: string): boolean
  }

  class SocialMediaAPIAdapter {
    - socialMediaAPI: SocialMediaAPI
    + getWeatherInfo(): WeatherData
    + displayMap(location: string): void
    + postToSocialMedia(message: string): boolean
  }

  MobileApplication --|> ThirdPartyAPI : Uses
  WeatherAPIAdapter --> WeatherAPI : Adapts
  MapsAPIAdapter --> MapsAPI : Adapts
  SocialMediaAPIAdapter --> SocialMediaAPI : Adapts

• MobileApplication represents your mobile application, which has a unified interface for getting weather information, displaying maps, and posting to social media.
• WeatherAPI, MapsAPI, and SocialMediaAPI represent the different third-party APIs with their unique methods and interfaces.
• ThirdPartyAPI is an interface representing the unified interface expected by your mobile application.
• WeatherAPIAdapter, MapsAPIAdapter, and SocialMediaAPIAdapter are adapter classes that bridge the gap between your mobile application and the respective third-party APIs. They adapt the methods and interfaces of the third-party APIs to match the ThirdPartyAPI interface used by your application.

Here we create individual adapter classes for each third-party API, such as WeatherAPIAdapter, MapsAPIAdapter, and SocialMediaAPIAdapter.

Each adapter should implement a common interface, such as ThirdPartyAPI, that your mobile application expects. This interface should include methods like getWeatherInfo(), displayMap(), and postToSocialMedia().

Inside each adapter, you will interact with the respective third-party API, translating the requests and responses to match your unified interface.

Your mobile application can then communicate with the adapters, which in turn communicate with the third-party APIs. This allows your application to access various services using a consistent and familiar interface.

By implementing the Adapter Design Pattern in this scenario, you can achieve seamless integration with multiple third-party APIs, even if they have different interfaces and communication protocols. The adapters act as intermediaries that adapt the third-party APIs to your application’s needs, making the integration process straightforward and consistent.

The Singleton design pattern ensures that a class has only one instance and provides a global point of access to that instance. In this scenario, you can create a Configuration Manager class as a Singleton to guarantee that there’s only one instance of the manager in your application.

By implementing the Singleton design pattern for the Configuration Manager class, you ensure that there is only one instance of the configuration manager throughout your application. This allows all components to access and modify application settings in a consistent and reliable manner, avoiding conflicts and inconsistencies in the configuration data.

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classDiagram
    class ConfigurationManager {
        - static _instance: ConfigurationManager
        + getInstance(): ConfigurationManager
        + getSetting(key: string): string
        + setSetting(key: string, value: string): void
        # constructor()
    }

    ConfigurationManager --> ConfigurationManager : <<singleton>>

The Adapter Design Pattern can be used to bridge the gap between your new e-commerce platform and the legacy payment gateway with different interfaces. Here’s a textual representation of the solution:

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classDiagram
  class ECommercePlatform {
    + processPayment(paymentInfo: PaymentInfo): boolean
    + fetchTransaction(transactionID: string): Transaction
  }

  class LegacyPaymentGateway {
    + makePayment(account: string, amount: number): boolean
    + checkTransactionDetails(receipt: string): Transaction
  }

  interface PaymentInfo {
    account: string
    amount: number
  }

  class Transaction {
    - transactionID: string
    - status: string
    + getTransactionID(): string
    + getStatus(): string
  }

  class PaymentGatewayAdapter {
    - legacyGateway: LegacyPaymentGateway
    + processPayment(paymentInfo: PaymentInfo): boolean
    + fetchTransaction(transactionID: string): Transaction
  }

  ECommercePlatform --|> PaymentGatewayAdapter : Uses
  PaymentGatewayAdapter --> LegacyPaymentGateway : Adapts
  PaymentGatewayAdapter ..|> PaymentInfo : Adapts
  PaymentGatewayAdapter ..|> Transaction : Adapts

• ECommercePlatform represents your new e-commerce platform that expects specific methods for processing payments and fetching transaction details.
• LegacyPaymentGateway represents the legacy payment gateway with its own methods for making payments and checking transaction details.
• PaymentInfo is an interface representing the payment information required by the adapter.
• Transaction is a class representing transaction details.

Here we create a PaymentGatewayAdapter class that acts as an adapter between your platform and the legacy payment gateway.

The PaymentGatewayAdapter class should implement the interface expected by your platform, providing methods like processPayment() and getTransactionDetails().

Within the adapter, you’ll interact with the legacy payment gateway using its existing methods and translate the requests and responses to match your platform’s expectations.

The adapter acts as a wrapper around the legacy system, ensuring that your platform can communicate with it as if it were a native component.

By implementing the Adapter Design Pattern in this scenario, you can seamlessly integrate the legacy payment gateway into your new e-commerce platform without the need for extensive modifications to either system. The adapter acts as a bridge that translates between the old and new interfaces, making the integration process smooth and maintaining the separation of concerns between your platform and the legacy system.

The Command Design Pattern can be used to create a remote control system that encapsulates commands as objects. Each command represents an action that the user wants to perform, and the remote control system acts as an invoker that can execute these commands. Here’s a textual representation of the solution:

Define a set of command classes, such as TurnOnLightsCommand, SetThermostatCommand, and LockDoorCommand. Each command class should encapsulate the logic for a specific action.

Create a common interface for these command classes, e.g., Command, which should have an execute() method.

Implement concrete command classes that implement the Command interface and encapsulate specific actions for each device.

Use a remote control to map user actions to concrete command objects. For instance, when a user says, “turn on lights,” the remote control system should map this command to an instance of TurnOnLightsCommand.

The remote control system can maintain a list of commands in a queue, allowing users to issue multiple commands and schedule their execution.

When a command is executed, it communicates with the appropriate smart home device, translating the high-level command into device-specific actions.

Here’s a Mermaid diagram for this solution:

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classDiagram
  class RemoteControl {
    + setCommand(command: Command): void
    + pressButton(): void
  }

  class Command {
    + execute(): void
  }

  class TurnOnLightsCommand {
    - lightDevice: LightDevice
    + execute(): void
  }

  class SetThermostatCommand {
    - thermostatDevice: ThermostatDevice
    + execute(): void
  }

  class LockDoorCommand {
    - doorDevice: DoorDevice
    + execute(): void
  }

  class LightDevice {
    + turnOn(): void
    + turnOff(): void
  }

  class ThermostatDevice {
    + setTemperature(temperature: number): void
  }

  class DoorDevice {
    + lock(): void
    + unlock(): void
  }

  RemoteControl --|> Command : Uses
  TurnOnLightsCommand --> LightDevice : Controls
  SetThermostatCommand --> ThermostatDevice : Controls
  LockDoorCommand --> DoorDevice : Controls

• RemoteControl acts as the invoker and allows users to press buttons to execute commands.
• Command is the common interface for all concrete command classes, providing the execute() method.
• Concrete command classes, such as TurnOnLightsCommand, SetThermostatCommand, and LockDoorCommand, encapsulate specific actions to control devices.
• LightDevice, ThermostatDevice, and DoorDevice represent the smart home devices that can be controlled by the commands.

The Command Design Pattern provides a flexible and extensible solution for managing commands and controlling smart home devices through a remote control system. It allows users to issue high-level commands while encapsulating device-specific details in command objects.

The Facade Design Pattern can be used to create a Space Mission Control Center facade that acts as a unified control interface for operators. Here’s a textual representation of the solution:

Define a MissionControlCenterFacade class, which provides high-level methods for tracking and controlling spacecraft.

The facade should include methods like trackSpacecraft(), sendCommand(), and receiveTelemetryData(), which encapsulate complex interactions with individual spacecraft.

Behind the scenes, the facade communicates with the various spacecraft and ground stations using their specific communication protocols and data formats.

Operators can use the facade through a centralized dashboard, allowing them to monitor and control the entire space mission without needing to understand the technical details of individual spacecraft operations.

Here’s the mermaid diagram for this solution:

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classDiagram
  class MissionControlCenterFacade {
    + trackSpacecraft(spacecraftID: string): void
    + sendCommand(spacecraftID: string, command: string): void
    + receiveTelemetryData(spacecraftID: string): TelemetryData
  }

  class SpacecraftCommunicationManager {
    + establishConnection(spacecraftID: string): void
    + sendCommand(spacecraftID: string, command: string): void
    + receiveTelemetryData(spacecraftID: string): TelemetryData
  }

  class TelemetryData {
    - data: string
    + getData(): string
  }

  MissionControlCenterFacade --|> SpacecraftCommunicationManager : Uses
  MissionControlCenterFacade --|> TelemetryData : Uses

• MissionControlCenterFacade represents the facade class responsible for providing a simplified interface to monitor and control spacecraft.
• SpacecraftCommunicationManager is a class responsible for managing the communication and data exchange with individual spacecraft, abstracting their complexities.
• The MissionControlCenterFacade uses the SpacecraftCommunicationManager to provide operators with a unified and user-friendly interface for space mission control.

The Facade Design Pattern simplifies space mission control for operators by providing a centralized and easy-to-use interface while abstracting the complexities of individual spacecraft communication protocols and data formats.

To address this problem, you can implement a Connection Pool Manager as a Singleton. The Singleton design pattern ensures that there’s only one instance of the Connection Pool Manager in your application, which will manage the database connections. Here’s a textual representation of the class diagram for the Singleton Connection Pool Manager:

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classDiagram
    class ConnectionPoolManager {
        - static _instance: ConnectionPoolManager
        + getInstance(): ConnectionPoolManager
        + getConnection(): DatabaseConnection
        + returnConnection(connection: DatabaseConnection): void
        # constructor()
    }

    class DatabaseConnection {
        - connectionInfo: string
        + query(sql: string): Result
        + close(): void
    }

    ConnectionPoolManager --> ConnectionPoolManager : <<singleton>>
    ConnectionPoolManager -- DatabaseConnection : Manages

• ConnectionPoolManager is the class responsible for managing the database connection pool.
• _instance is a static variable that holds the single instance of the ConnectionPoolManager.
• getInstance() is a static method that returns the single instance of the ConnectionPoolManager.
• getConnection() is a method to request a database connection from the pool.
• returnConnection(connection: DatabaseConnection) is a method to return a database connection to the pool for reuse.
• DatabaseConnection represents individual database connections that can execute SQL queries and be returned to the pool.

By implementing the Connection Pool Manager as a Singleton, you ensure that there is only one centralized instance managing the database connections, preventing resource wastage and ensuring efficient handling of connections throughout your application.

The Command Design Pattern can be used to create a system that represents tasks as objects with a unified interface for scheduling, executing, monitoring, and handling errors. Here’s a textual representation of the solution:

Define a Task interface that includes methods like execute(), cancel(), and logErrors(). Each task object implements this interface.

Create concrete task classes, such as DataProcessingTask, FileSynchronizationTask, and SystemMaintenanceTask, each implementing the Task interface.

Implement a Task Scheduler that maintains a queue of task objects. Users can add, remove, and reschedule tasks through the scheduler.

Use a Command Pattern to encapsulate task execution. Create TaskExecutionCommand classes that wrap task objects and execute them when invoked.

The scheduler schedules tasks and uses the Command Pattern to execute them at the specified times. It logs task progress and handles errors by invoking appropriate methods on task objects.

Here’s the textual representation for this solution:

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classDiagram
  class Task {
    + execute(): void
    + cancel(): void
    + logErrors(): void
  }

  class DataProcessingTask {
    + execute(): void
    + cancel(): void
    + logErrors(): void
  }

  class FileSynchronizationTask {
    + execute(): void
    + cancel(): void
    + logErrors(): void
  }

  class SystemMaintenanceTask {
    + execute(): void
    + cancel(): void
    + logErrors(): void
  }

  class TaskScheduler {
    + scheduleTask(task: Task, executionTime: DateTime): void
    + rescheduleTask(task: Task, newExecutionTime: DateTime): void
    + removeTask(task: Task): void
  }

  class TaskExecutionCommand {
    + execute(): void
  }

  Task <-- DataProcessingTask : Implements
  Task <-- FileSynchronizationTask : Implements
  Task <-- SystemMaintenanceTask : Implements
  TaskScheduler --|> Task : Manages
  TaskExecutionCommand --|> Task : Wraps

Task is the interface that represents common task functionality, such as execution, cancellation, and error handling.

DataProcessingTask, FileSynchronizationTask, and SystemMaintenanceTask are concrete task classes implementing the Task interface, representing different types of tasks.

TaskScheduler is responsible for scheduling, rescheduling, and removing tasks.

TaskExecutionCommand is a command object that wraps task objects and is responsible for executing them at the specified times.

The Command Design Pattern provides a flexible and extensible solution for managing and executing tasks in a dynamic scheduling environment, allowing users to control tasks at runtime without affecting the server’s core functionality. It also ensures proper logging and error handling for each task.

The Facade Design Pattern can be used to create a Medical Equipment Monitoring System that acts as a unified control interface for medical staff. Here’s a textual representation of the solution:

Define a MedicalEquipmentMonitoringFacade class that provides high-level methods for monitoring and controlling medical equipment.

The facade should include methods like monitorVitalSigns(), setAlarmThreshold(), and emergencyShutdown(), which encapsulate complex interactions with individual medical devices.

Behind the scenes, the facade communicates with the different medical equipment using their specific communication protocols and translates data to provide a unified and consistent interface.

Medical staff can use the facade through a centralized monitoring station, simplifying the process of tracking vital signs, managing alarms, and controlling equipment without requiring in-depth technical knowledge of each device.

Here’s the mermaid diagram for this solution:

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classDiagram
  class MedicalEquipmentMonitoringFacade {
    + monitorVitalSigns(deviceID: string): VitalSignsData
    + setAlarmThreshold(deviceID: string, parameter: string, threshold: number): void
    + emergencyShutdown(deviceID: string): void
  }

  class MedicalDeviceManager {
    + connectToDevice(deviceID: string): void
    + getVitalSigns(deviceID: string): VitalSignsData
    + setAlarmThreshold(deviceID: string, parameter: string, threshold: number): void
    + initiateEmergencyShutdown(deviceID: string): void
  }

  class VitalSignsData {
    - data: string
    + getData(): string
  }

  MedicalEquipmentMonitoringFacade --|> MedicalDeviceManager : Uses
  MedicalEquipmentMonitoringFacade --|> VitalSignsData : Uses

• MedicalEquipmentMonitoringFacade represents the facade class responsible for providing a simplified interface to monitor and control medical equipment.
• MedicalDeviceManager is a class responsible for managing the communication and data exchange with individual medical devices, abstracting their complexities.
• The MedicalEquipmentMonitoringFacade uses the MedicalDeviceManager to provide medical staff with a unified and user-friendly interface for monitoring and controlling medical equipment.

The Facade Design Pattern simplifies medical equipment monitoring and control for healthcare professionals by providing a centralized and easy-to-use interface while abstracting the complexities of various medical device communication protocols and data formats.

The Template Method Design Pattern can be used to create a resume generation system that provides a flexible structure for users to customize their resumes while adhering to a common format. Here’s a textual representation of the solution:

Define an abstract ResumeTemplate class that serves as a template for generating resumes. It should contain common sections like “Contact Information,” “Objective,” “Education,” “Work Experience,” and “Skills.”

Implement concrete resume classes, such as StandardResume and CreativeResume, which inherit from the ResumeTemplate class. Each concrete class represents a different resume style.

In each concrete resume class, provide default implementations for the common sections. However, allow users to override or extend these sections based on their customization needs.

Users can select a template and customize their resume by adding, modifying, or removing sections as required. The template method pattern ensures that the overall structure and formatting are consistent across all resumes.

Here’s the textual representation for this solution:

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classDiagram
  class ResumeTemplate {
    + generateResume(): string
    # formatContactInfo(): string
    # formatObjective(): string
    # formatEducation(): string
    # formatWorkExperience(): string
    # formatSkills(): string
  }

  class StandardResume {
    + generateResume(): string
  }

  class CreativeResume {
    + generateResume(): string
  }

  ResumeTemplate <|-- StandardResume
  ResumeTemplate <|-- CreativeResume

The Template Method Design Pattern allows users to customize their resumes while maintaining a consistent structure and design. Users can select different resume styles and customize their content according to their preferences, without the need to start from scratch or worry about the overall formatting.

The Pipeline Design Pattern can be used to create a data processing system that consists of a series of interconnected data processing stages. Here’s a textual representation of the solution:

Define a set of processing stages, such as DataCleaningStage, DataFilteringStage, DataTransformationStage, and DataAnalysisStage. Each stage should have a standardized input and output interface.

Create a pipeline controller that manages the order of execution and the flow of data between processing stages. The controller organizes the stages into a pipeline and ensures data flows sequentially through them.

Data enters the pipeline at the beginning and flows through each stage in the defined order. Each stage processes the data as required and passes the results to the next stage.

Users can easily customize the pipeline by adding, removing, or rearranging stages based on the specific data processing requirements.

The pipeline controller ensures that data flows seamlessly through the stages, and the order of execution can be flexibly adjusted.

Here’s a mermaid representation for this solution:

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classDiagram
  class DataProcessingPipeline {
    + addStage(stage: DataProcessingStage): void
    + removeStage(stage: DataProcessingStage): void
    + process(data: Data): Data
  }

  interface Data {
    - data: string
    + getData(): string
  }

  interface DataProcessingStage {
    + process(data: Data): Data
  }

  class DataCleaningStage {
    + process(data: Data): Data
  }

  class DataFilteringStage {
    + process(data: Data): Data
  }

  class DataTransformationStage {
    + process(data: Data): Data
  }

  class DataAnalysisStage {
    + process(data: Data): Data
  }

  DataProcessingPipeline --> DataProcessingStage : Contains
  DataProcessingPipeline ..|> Data : Uses
  DataProcessingStage --> Data : Uses
  DataCleaningStage --> DataProcessingStage : Next
  DataFilteringStage --> DataProcessingStage : Next
  DataTransformationStage --> DataProcessingStage : Next
  DataAnalysisStage --> DataProcessingStage : Next

The Pipeline Design Pattern provides an efficient and flexible solution for data processing, allowing users to create complex data pipelines and adjust the order of execution without impacting the core functionality.

The Template Method Design Pattern can be used to create a flexible assessment system for online courses. Here’s a textual representation of the solution:

Define an abstract AssessmentTemplate class that serves as a template for creating assessments. It should contain common methods for setting deadlines, grading, and distributing feedback.

Implement concrete assessment classes, such as QuizAssessment, AssignmentAssessment, and ExamAssessment, which inherit from the AssessmentTemplate class. Each concrete class represents a specific type of assessment.

In each concrete assessment class, provide default implementations for common assessment tasks, such as setting deadlines and grading. However, allow course instructors to customize unique features for each assessment type.

Course instructors can create assessments by selecting a type and customizing their parameters. The template method pattern ensures that the overall assessment process, including deadline management and feedback distribution, remains consistent.

Here’s the textual representation for this solution:

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classDiagram
  class AssessmentTemplate {
    + createAssessment(): void
    # setDeadline(date: DateTime): void
    # gradeAssessment(): void
    # distributeFeedback(): void
  }

  class QuizAssessment {
    + createAssessment(): void
  }

  class AssignmentAssessment {
    + createAssessment(): void
  }

  class ExamAssessment {
    + createAssessment(): void
  }

  AssessmentTemplate <|-- QuizAssessment
  AssessmentTemplate <|-- AssignmentAssessment
  AssessmentTemplate <|-- ExamAssessment

The Template Method Design Pattern allows course instructors to create and manage various assessment types while maintaining a consistent process for setting deadlines, grading, and distributing feedback. It offers flexibility for customization while ensuring that common assessment tasks follow a predefined structure.