ClerkPro - Developer Guide

By: Team T09-3 Since: Sep 2019 Licence: MIT

1. Introduction
2. Setting up
3. Design
4. Implementation
5. Documentation
6. Testing
7. Dev Ops
Appendix A: Product Scope
Appendix B: User Stories
Appendix C: Use Cases
Appendix D: Non Functional Requirements
Appendix E: Glossary
Appendix F: Product Survey
Appendix G: Instructions for Manual Testing

1. Introduction

ClerkPro is an appointment and queue management system targeted at clerks working in small clinics. This developer guide is organised in a top-down approach, beginning with the Architecture Design. You may jump to any section by clicking on the heading in the contents page.

2. Setting up

Refer to the guide here.

3. Design

3.1. Architecture

Figure 1. Architecture Diagram

The Architecture Diagram given above explains the high-level design of ClerkPro. Given below is a quick overview of each component.

Main has two classes called Main and MainApp. It is responsible for,

At app launch: Initializes the components in the correct sequence, and connects them up with each other.
At shut down: Shuts down the components and invokes cleanup method where necessary.

Commons represents a collection of classes used by multiple other components. The following class plays an important role at the architecture level:

LogsCenter : Used by many classes to write log messages to the App’s log file.

The rest of the App consists of four components.

UI: The UI of the App.
Logic: The command executor.
Model: Holds the data of the App in-memory.
Storage: Reads data from, and writes data to, the hard disk.

3.2. UI component

Figure 2. Structure of the UI Component

API : Ui.java

The UI consists of a MainWindow that is made up of parts e.g.CommandBox, ResultDisplay, OmniPanel, StatusBarFooter etc. All these, including the MainWindow, inherit from the abstract UiPart class.

The UI component uses JavaFx UI framework. The layout of these UI parts are defined in matching .fxml files that are in the src/main/resources/view folder. For example, the layout of the MainWindow is specified in MainWindow.fxml

The UI component,

Executes user commands using the Logic component.
Listens for changes to Model data so that the UI can be updated with the modified data.

3.3. Logic component

Figure 3. Structure of the Logic Component

API : Logic.java

Logic uses the SystemCommandParser class to parse the user command.
This results in a Command object which is executed by the LogicManager.
- A Command object can be classified as one of two types, a ReversibleCommand and a NonActionableCommand.
- A ReversibleCommand refers to any command which modifies the data in the system’s model. To enable the user to revert their changes, the actions of such commands needs to be reversible.
- Conversely, a NonActionableCommand only reads data from the system’s model without modifying it.
The command execution can affect the Model (e.g. adding a patient).
- If the user intends to execute a reversible command, a ReversibleActionPairCommand is created and pushed into an undo stack. This action pair command contains a pairing of of the action itself and its inverse. (e.g. Pairing 'add person A' and 'delete person A' command).
- If the user intends to execute a NonActionableCommand, the command will be directly executed.
The result of the command execution is encapsulated as a CommandResult object which is passed back to the Ui.
In addition, the CommandResult object can also instruct the Ui to perform certain actions, such as displaying help to the user.
Handles the mutli-threading of reactive search requests by the user.
- When the user is searching for an existing entry, the system will attempt to filter through the results as the user types.
- Each key stroke will trigger a new reactive search request which is processed on a separate thread. This is done to avoid lagging the UI.
- If a new reactive search request is triggered before the previous request has been completed. The previous request thread will be interrupted before the new request thread is allowed to be executed.
- The execution of a reactive search differs from the normal command, in the way that it only allows the execution of NonActionableCommand types. Hence, there is no modification of any data in the system’s model when executing a reactive search.

Given below is the Sequence Diagram for interactions within the Logic component for the enqueue E0000001A API call.

Figure 4. Interactions inside the Logic Component for the enqueue E0000001A Command.

3.4. Model component

Figure 5. Structure of the Model Component

API : Model.java

3.4.1. Overall Model component

The Model,

stores a UserPref object that represents the user’s preferences.
does not depend on any of the other three components: Logic, Ui, and Storage.
consists of 3 sub-components: QueueManager, AddressBook and AppointmentBook.
stores the details of patients and staff in 2 separate instances of AddressBook.
stores the patients' appointments and duty shifts of staff doctors in 2 separate instances of `Appointment Book.
exposes an unmodifiable ObservableList<Person> and ObservableList<Event> that can be 'observed' e.g. the UI can be bound to this list so that the UI automatically updates when the data in the list change.
stores a unique list of Tags and ReferenceId, which Person can reference. This would allow Address Book to only require one Tag object per unique Tag, instead of each Person needing their own Tag object.

The QueueManager,

stores a QueueList object that represents the queue.
stores a UniqueElementList<Room> which represents a list of consultation rooms where staff doctors are stationed.

The AddressBook,

stores a Person object that, depending on its usage, can represent either a staff doctor or patients.
stores a UniquePersonList which represents a list of all registered doctors or patients.

The AppointmentBook,

stores a Event object that, depending on its usage, can represent either a patient’s appointment and staff duty shift.
stores a UniquePersonList which represents a list of all registered appointments or shifts.

3.5. Storage component

Figure 6. Structure of the Storage Component

API : Storage.java

The Storage component,

saves UserPref objects in json format and read it back.
saves and read data of the particulars of patients and doctors in json format.
saves and read data of the Appointments and duty shifts data in json format.

JsonAddressBookStorage class is reused to store the details of both doctors and patients. Likewise, the JsonAppointmentBookStorage class can be reused to store the details of both staff duty shifts and patient’s appointments.

3.6. Common classes

Classes used by multiple components are in the seedu.addressbook.commons package.

4. Implementation

This section describes some noteworthy details on how certain features are implemented.

4.1. Unique Reference Identification

In ClerkPro, each person is assigned a unique ReferenceId. Appointments and duty shifts are tagged to the respective patients and doctors through the use of ReferenceId.

This unique reference identifier consist of two parts:

a unique case-insensitive string, which consist of 9 alphanumeric characters, referring to its unique ID
a boolean referring to whether the reference identifier belonged to a person who is registered as a patient or a staff doctor.

4.2. Undo/Redo feature

The undo/redo feature allows users to revert the action of a command or redo a command action that has been undone.

4.2.1. Current Implementation

A Command can be classified as one of two types, a ReversibleCommand or NonActionableCommand. A ReversibleCommand refers to any command which modifies the data stored by the system. Conversely, a NonActionableCommand only reads data from the system’s model without modifying it.

By pairing of two ReversibleCommand commands together, we can describe an action that has the undone.

This pairing is encapsulated as a ReversibleActionPairCommand, which consists of two ReversibleCommand classes: the command to be executed and its inverse.

Consider that our appointment management system provides the user the ability to add, cancelling and reschedule an appointment using the commands named AddApptCommand, CancelApptCommand, EditApptCommand respectively.

By executing the CancelApptCommand, we can mimic the undo functionality of the AddApptCommand, which is simply cancelling the same appointment the AddApptCommand had scheduled.

The following activity diagram describes the sequence of events when a user executes a new command:

Figure 7. Commit Activity Diagram

The undo/redo mechanism is facilitated by the CommandHistoryManager class, which is found in the logic component. The history stores actions that can be undone as a ReversibleActionPairCommand and implements the following operations:

CommandHistoryManager#addToCommandHistory() — Saves the most recent command that modifies the system’s model in its undo history.
CommandHistoryManager#performUndo() — Performs the inverse operation to restore the system to its previous state.
CommandHistoryManager#performRedo() — Restores a previously undone state by re-executing the respective undone command.
CommandHistoryManager#canUndo() — Checks if there are previous states to be restored
CommandHistoryManager#canRedo() — Checks if the a previously undone state can be restored

These operations are all contained within the Logic component and do not depend on any other components.

On initialisation of the application, the undo and redo stack of the CommandHistoryManager would be empty. As the user executes commands that modifies the data stored by the system, the commands invokes CommandHistoryManager#addToCommandHistory() and are pushed in the undo stack of the CommandHistoryManager.

Given below is an example usage scenario and how the undo/redo mechanism behaves.

Step 1. Suppose that the user has already executed several commands earlier, with the latest command being newpatient … -name John Doe, which registers a patient named 'John Doe'.

Step 2. The user now decides that adding the patient was a mistake, and decides to undo that action by executing the undo command. The undo command will call CommandHistoryManager#performUndo(), which in turn invokes the UnregisterPatientCommand which reverts the system to its previous state.

Figure 8. The sequence diagram shows how the undo operation works:

ℹ️	The lifeline for `UndoCommand` should end at the destroy marker (X) but due to a limitation of PlantUML, the lifeline reaches the end of diagram.

An empty undo stack implies that there are no previous states to be restored. The undo command uses Model#canUndoAddressBook() to check if this is the case. If so, it will return an error to the user rather than attempting to perform the undo.

After the successful execution of the UnregisterPatientCommand command, the action from the top undo stack is transferred to the top of the redo history stack.

Conversely, the redo command does the opposite — it calls CommandHistoryManager#performRedo() which restores the address book to that state by invoking the original command again. Similarly, if the commandRedoHistory is empty, then there are no undone states to restore. The redo command uses Model#canRedoAddressBook() to check if this is the case. If so, it will return an error to the user rather than attempting to perform the redo.

Step 3. The user then decides to execute the command patient S9482963D. A command that searches for a patient whose id matches S9482963D, only reads and does not modify any data from the model. Such commands will not invoke CommandHistoryManager#addToCommandHistory(), CommandHistoryManager#performUndo(), CommandHistoryManager#performRedo().

Thus, the undo and redo stacks remain unchanged.

Step 4. The user executes newappt … to schedule a new appointment for a patient. This action invokes CommandHistoryManager#addToCommandHistory(), pushing the new action pair command in the undo stack. However, the commands in the redo stack will be purged.

We designed it this way because it no longer makes sense to redo the newpatient … -name John Doe command. This is the behavior that most modern desktop applications follow.

4.3. Reactive Search

The main concept behind reactive searching is to provide feedback to the user of their search results for a given keyword as they type. However, filtering larger data sets may be a time consuming process. Hence, the queries are processed on a separate thread to avoid blocking the UI thread.

This is achieved in two phases:

4.3.1. Phase 1: UI invoking a Reactive Search Request

Similar to eager evaluation, Reactive Search attempts to process commands if it does not mutate the storage. Otherwise it does a simple redirect to the tab relevant to the command.

After which, changes to the ObservableList will trigger the updateItem listener in UI. And since each graphical update is fast and can only be executed from the JavaFX main application thread, we defer each of them via Platform.run() so that the FX main application thread can execute them in order whenever it is free.

class EventListViewCell extends ListCell<Event> {
    @Override
    protected void updateItem(Event event, boolean empty) {
        super.updateItem(event, empty);

        if (empty || event == null) {
            Platform.runLater(() -> setGraphic(null));
        } else {
            Platform.runLater(() -> setGraphic(new EventCard(event, getIndex() + 1, displayStatus).getRoot()));
        }
    }
}

Hence, this ensures the main FX application thread is always polling for user inputs or graphical updates and handles them rapidly as they are lightweight tasks.

4.3.2. Phase 2: Multi-threading and synchronisation of Reactive Search requests

If the UI triggers another reactive search request before previous request is completed, the thread of the previous request is first interrupted and joined to the thread of the new request. Only after the previous thread has been successfully interrupted, the new request will be processed. This is done to ensure that the UI thread only displays the results of the latest request.

Figure 9. Sequence Diagram showing how the multi-threading is handled.

4.4. AutoComplete

We are using Prefix Tree which is known as a Trie for AutoComplete. This gives us a worst case time complexity of O(m), where m is length of the search string. While the space complexity is O(bm), where b is number of unique characters used, m is length of longest word stored.

Figure 10. AutoComplete Sequence Diagram showing the sequence upon typing the character 'a' into an empty Command Box.

Figure 11. AutoCompleter Class Diagram

Aspect: Data structure to implement AutoComplete

Alternative 1 (current choice): Using Trie (as known as Prefix Tree).

Pros	1. Search Time Complexity Efficient: O(m), where m is length of searched word. 2. One of the most natural data structure for text prediction.
Cons	1. Requires initialisation. 2. Requires rebuilding of strings.

Alternative 2: Using ArrayList.

Pros

1. Extremely simple to implement.

Cons

1. Search Time Complexity Inefficient: O(nm), where n is number of words and m is length of searched word.

4.5. Queue feature

The queue feature allows the user to enqueue and dequeue a patient from the queue.

e.g. enqueue 003A - Enqueues the patient with referenceId 003A.
e.g. next 1 Serves the next patient in queue and allocates him/her to room 1.

Queue supports a few basic commands:

Enqueue — Enqueues a patient into the queue.
Format: enqueue <PATIENT_REFERENCE_ID>
Dequeue — Dequeues a patient from the queue.
Format: dequeue <QUEUE_INDEX>
Next — Assigns the next patient in the queue to a doctor.
Format: next <ENTRY_ID>
Break — Avoids directing patients to a doctor. e.g. Doctor is on a lunch break
Format: break <ENTRY_ID>
Resume — Allows patients to be directed to a doctor. e.g. Doctor is back from his/her break.
Format: resume <ENTRY_ID>

4.5.1. Current Implementation

The queue will be displayed in a list.

The following activity diagram summarizes what happens when a user executes an enqueue command:

Figure 12. Enqueue Activity Diagram

The following activity diagram summarizes what happens when a user executes a next command:

Figure 13. Next Activity Diagram

Below is an example usage of the queue feature.

Step 1: User enters the enqueue E0000001A command.

Step 2: The command then calls Model#enqueuePatient to enqueue the patient into the queue.

Step 3: Patient will then displayed in the queue.

4.6. Appointment Feature

The Appointment feature enables users to manage appointments for patients by providing basic Create, Read, Update, Delete (CRUD) of appointments. User is also able to find missed appointments and settle each missed appointment efficiently.

The number of scheduled appointments cannot be more than the number of on-duty staff doctors at any given time.

4.6.1. Current Implementation

The current appointment feature is implemented using a list which works like a balanced binary search tree. This allows us to search for an appointment within O(logn) instead of O(n) time, where n is the number of appointments in the list.

The Appointment feature contains multiple operations to indirectly manipulate the UniqueEventList. The implemented operations include:

newappt Command - Creates an new appointment or reoccurring appointments for a patient.

ackappt Command - Acknowledges an appointment whenever the patient checks in with the clerk.

appointments Command - Lists all upcoming appointments or appointments which involves the patient whose referenceId contains a certain keyword.

editappt Command - Edits an appointment timing.

cancelappt Command - Cancels an appointment.

missappt Command - Lists all missed appointments.

settleappt Command - Removes a missed appointment.

The appointment class diagram below illustrates the interactions between the Appointment class and associated classes.

Figure 14. Appointment class diagram

The appointment will be rejected by the system, if there are insufficient staff doctors on duty at the time of the appointment.
Each Appointment object consists of a PersonReferenceId, Timing, Status. Timing class has 2 DateTime objects which indicates the start and end time of the appointment. The UniqueEventList contains 0 or more appointments.

The current implementation of Appointment checks with patient object by the unique referenceId and also checks the timing with doctors' dutyRoster. If the referenceId exists within the Model#UniquePersonList and the timing is valid, then the Appointment object is constructed. This ensures that the patient is registered before making any appointments and the appointment’s timing is valid.

The appointment will be rejected by the system, if there are insufficient staff doctors on duty at the time of the appointment.

Before an appointment can be scheduled, the system first checks the total number of staff doctors on duty in that timeslot. Next, the system checks the existing appointments in that timeslot. If the number of appointments in that timeslot is less than the number of doctors, the appointment will be scheduled. Otherwise, the appointment will not be scheduled.

4.6.2. `newappt` Command

The newappt command is similar to the new command of patient and doctor. The command takes in the parameters required to construct ReferenceId, DateTime and Status. The image below shows how the Appointment object is constructed.

The following activity diagram summarizes what happens when a user executes a newappt command:

Figure 15. Interactions Inside the Logic Component when a user executes a newappt command

4.6.3. `ackappt` command

The ackappt command marks the patient’s the most upcoming appointment as acknowledged only if it is on the same day and it is before the appointment’s end time and also updates UniqueEventList to display the rest appointments belonging to the patient.

4.6.4. `appointments` Command

The appointments command works in two different ways.

Case 1: appointments referenceId

The appointments command searches for appointments that belong to the patient based on the given referenceId. The filtered appointments are found in ModelManager. The list is instantiated by filtering the UniqueEventList using EventContainsKeywordPredicate which is created from the ReferenceId argument supplied by the user.

Case 2: appointments

If the appointments command is executed without any other arguments, it executes with the predicate EventContainsApprovedStatusPredicate. updateFilteredAppointmentList() is called and the entire list of upcoming appointments is shown to the user.

4.6.5. `editappt` Command

The following activity diagram summarizes what happens when a user executes a editappt command:

Figure 16. Interactions Inside the Logic Component when a user executes a editappt command

4.6.6. `cancelappt` Command

cancelappt simply takes in the index of the target appointment to cancel according to the displayed appointment list.

Given below is the sequence diagram for interactions within the Logic component for the execute("cancelappt 1") API call.

Figure 17. Interactions Inside the Logic Component for the cancelappt 1 Command

4.6.7. `missappt` Command

The missappt command displays appointments that patients did not attend. The filtered appointments are found in ModelManager. The list is instantiated by filtering the UniqueEventList using EventsMissedPredicate which checks all APPROVED-Status appointments' end times with current time.

4.6.8. `settleappt` Command

The settleappt command helps users to remove any missed appointments once users have settled it. It will also update UniqueEventList to display the rest of the missed appointments.

In future implementations, i.e. v2.0, the valid timing slot will be given based on the doctor’s availability. This ensures users can easily choose a slot to arrange appointments for patients.

4.6.9. Design Considerations

Aspect: How to store Timing fields

Alternative 1 (current choice): Create DateTime and Timing class to store

Pros	1. Makes it easier to calculate timings and clashes between multiple appointments with different timing field.
Cons	1. Requires additional code to implement Timing class and interact with other common methods that rely on DateTime.

Alternative 2: Store as Strings

Pros

1. Makes it easier to implement.

Cons

1. Requires additional code to convert into DateTime class when carrying out calculating methods.

Aspect: display appointments

Alternative 1 (current choice): Display appointments in a tab

Pros

1. Creates an intuitive and easily navigable screen to display appointments.

Cons

1. Decreases the efficiency of CLI by having to use GUI inputs.
Alternative 2: Keeps the onscreen clutter at a minimum and stays in line with the CLI concept.

Pros

1. Makes it easier to implement.

Cons

1. Increases difficulty in freely accessing appointments.

4.7. Duty Shift Scheduling

The duty shift scheduling provides users the ability to schedule duty shifts for doctors. It can help doctors to check, add, edit duty shifts efficiently.

4.7.1. Current Implementation

The duty shift scheduling contains multiple operations to indirectly manipulate the UniqueEventList. The implemented operations include:

newshift Command - Adds a duty shift or reoccurring duty shifts to a doctor.

shifts Command - Lists all duty shifts involving the doctor’s referenceId which contains the keyword.

editshift Command - Change a current duty shift’s timing.

cancelshift Command - Cancels duty shift.

Each Duty Shift is an Event object consists of a PersonReferenceId, Timing, Status. Timing class has 2 DateTime object as they indicate the start and end times of the duty shift.

The current implementation of duty shift checks with doctor object by the unique referenceId and also checks the timing with appointments. If the referenceId exists within the Model#UniquePersonList and the timing is valid, then the duty shift is constructed. This ensures that the doctor is registered and the duty shift’s timing is valid before making any duty shifts.

The duty shift will be rejected by the system, if there are insufficient staff doctors on duty at the given time.

Before a duty shift’s time can be edited, the system first checks the total number of staff doctors on duty in that timeslot. Next, the system checks the existing appointments in that timeslot. If the number of appointments in that timeslot is less than the number of doctors, the duty shift’s time will be changed. Otherwise, the duty shift will not be allowed to edit.

4.7.2. `newshift` Command

The newshift command behaves similarly to the new command used for patient and doctor. The command takes in the parameters required to construct ReferenceId, DateTime and Status.

4.7.3. `shifts` Command

The shifts command works in two different ways.

Case 1: shifts ReferenceId

The shifts command searches for duty shifts that belong to the doctor based on the given ReferenceId. The filtered shifts are found in ModelManager. The list is instantiated by filtering the UniqueEventList using EventContainsKeywordPredicate which is created from the referenceId argument supplied by the user.

Case 2: shifts

The shifts command behaves similarly to shifts ReferenceId when it does not take in any other arguments. Instead, it automatically executes with the predicate EventContainsApprovedStatusPredicate. updateFilteredEventList() is called and the entire list of the upcoming duty shifts is shown to the user.

4.7.4. `editshift` Command

The following activity diagram summarizes what happens when a user executes a editshift command:

Figure 18. Interactions Inside the Logic Component when a user executes a editshift command

4.7.5. `cancelshift` Command

cancelshift simply takes in the index of the target duty shift to cancel according to the displayed shift list.

4.8. Logging

We are using java.util.logging package for logging. The LogsCenter class is used to manage the logging levels and logging destinations.

The logging level can be controlled using the logLevel setting in the configuration file (See Section 4.9, “Configuration”)
The Logger for a class can be obtained using LogsCenter.getLogger(Class) which will log messages according to the specified logging level
Currently log messages are output through: Console and to a .log file.

Logging Levels

SEVERE : Critical problem detected which may possibly cause the termination of the application
WARNING : Can continue, but with caution
INFO : Information showing the noteworthy actions by the App
FINE : Details that is not usually noteworthy but may be useful in debugging e.g. print the actual list instead of just its size

4.9. Configuration

Certain properties of the application can be controlled (e.g user prefs file location, logging level) through the configuration file (default: config.json).

5. Documentation

Refer to the guide here.

6. Testing

Refer to the guide here.

7. Dev Ops

Refer to the guide here.

Appendix A: Product Scope

Target user profile:

has a need to manage a significant number of patients and doctors
is a clerk/receptionist working at a small clinic
prefer desktop apps over other types
can type fast
prefers typing over mouse input
is reasonably comfortable using CLI apps

Value proposition: manage queue and appointments faster than a typical mouse/GUI driven app

Appendix B: User Stories

Priorities: High (must have) - * * *, Medium (nice to have) - * *, Low (unlikely to have) - *

Priority	As a …	I want to …	So that I can…
`* * *`	new user	see usage instructions	refer to instructions when I forget how to use the App
`* * *`	clerk	find out the upcoming appointments for given patients
`* * *`	clerk	update the doctors' details by typing commands and user details
`* * *`	clerk	add new doctors into system
`* * *`	clerk	edit patients' details	keep their particulars up to date
`* * *`	clerk	register new patients with optional fields
`* * *`	clerk	add ad-hoc patients to the queue
`* * *`	clerk	search for patients using their name or phone number
`* * *`	clerk	look up how many patients are in the queue, on a side panel	recommend estimated time that the patient will be attended to
`* * *`	clerk	look up patient using a reference id
`* * *`	clerk	reschedule appointments of patients
`* * *`	clerk	search for appointment slots easily	schedule appointments for patients easily
`* * *`	clerk	assign a queue number to each patient in the queue
`* * *`	clerk	use the appointment scheduler	schedule appointments for my patients
`* * *`	clerk	add reoccurring appointments	schedule new reoccurring appointments for my patients
`* * *`	clerk	save time managing the queue	have more time to do my own work
`* * *`	clerk	take note of the doctors that are on-shift	effectively direct patients to available doctors
`* *`	clerk	remove a patient from the queue if they leave.
`* *`	clerk	view the number of patients who visited the clinic today
`* *`	clerk	schedule patient’s follow up appointments
`* *`	clerk	find all patients who have missed their appointments	keep track of the list of patients whom I need to inform
`* *`	clerk	see relevant information only	so that my focus is not lost
`* *`	clerk	use auto-complete to predict my commands	save time on verifying its existence and correctness
`* *`	clerk	quick-fill the command box with the suggestions of Auto-Complete	so that it reduces typing of the entire command
`* *`	clerk	refer to command history	review entered commands that maybe incorrect
`* *`	clerk	quick-fill the command box with history commands	inputting last few commands is easier
`* *`	receptionist	use the undo and redo feature	to remedy any mistakes
`* *`	clerk	acknowledge appointments if patients are present for their appointments	keep track of patients who came for their appointments
`* *`	clerk	tag patient with known allergies	keep track of their allegies
`* *`	clerk	cancel appointments for patients	free up appointment time slots

Appendix C: Use Cases

(For all use cases below, the System is the ClerkPro and the Actor is the user, unless specified otherwise)

Use case: Add patient into queue (UC1)

MSS

New patient arrives at the clinic
User wants to add new patient into the queue
System adds the patient into the queue

Use case ends.

Extensions

2a. User inputs invalid format
- 2a1. System requests for correct input format.
  
  Use case resumes at step 2.

Use case: Remove person from queue (UC2)

MSS

Patient wants to leave
User requests to remove patient from the queue
System removes the patient from queue

Use case ends.

Extensions

2a. Person is not in queue

Use case ends.
3a. The given index is invalid.
- 3a1. System shows an error message.
  
  Use case resumes at step 2.

Use case: Serve next patient (UC3)

MSS

Patient exits from room 1
User requests to allocate patient into room 1
System removes the patient from queue and allocates him/her to room 1

Use case ends.

Extensions

2a. Doctor is resting

Use case ends.
3a. The given index is invalid.
- 3a1. System shows an error message.
  
  Use case resumes at step 2.

Use case: Doctor takes a break (UC4)

MSS

User requests to avoid directing patients to the doctor in room 1
System sets the doctor to be on break

Use case ends.

Extensions

1a. Doctor is already on break
- 1a1. System shows an error message.
  
  Use case ends.
2a. The given index is invalid.
- 2a1. System shows an error message.
  
  Use case resumes at step 1.

Use case: Doctor resumes his/her duty (UC5)

Pre-condition: Doctor is on break

MSS

User requests to start directing patients to the doctor in room 1
System sets the doctor to be on duty

Use case ends.

Extensions

1a. Doctor is already on duty
- 1a1. System shows an error message.
  
  Use case ends.
2a. The given index is invalid.
- 2a1. System shows an error message.
  
  Use case resumes at step 1.

Use case: Add new a appointment (UC6)

Pre-condition: Patient exists in the system

MSS

Patient wants to have a new appointment
User wants to add a appointments for the patient
ClerkPro adds this appointment

Use case ends.

Extensions

2a. User inputs invalid format
- 2a1. ClerkPro requests for correct input format
- 2a2. User inputs correct format
  
  Steps 2a1-2a2 are repeated until the appointment has the correct format

Use case resumes at step 2

2b. User inputs a appointment which is conflicted with other appointments and the appointment cannot be assigned to a doctor as all doctors has other appointments with other patients at that time.
- 2b1. User ask patient to make provide a new appointment timing
- 2b2. patient give a new appointment date
  
  Steps 2b1-2b2 are repeated until the appointment is not conflicted
Use case resumes at step 2.

Use case: Change appointment date (UC7)

Pre-condition: Patient’s appointment exists and Application is displaying the patient’s list of appointments

MSS

User provides a new time slots for a current apointment to change.
ClerkPro updates the appointment date of the patient.

Use case ends.

Extensions

2a. Current appointment date is invalid format
- 2a1. ClerkPro requests for correct input format
- 2a2. User inputs correct format
  
  Steps 2a1-2a2 are repeated until the appointment has the correct format
2b. Appointment date is conflict with other appointments
- 2b1. User ask patient to make a new appointment
- 2b2. patient change appointment to another date
  
  Steps 2b1-2b2 are repeated until the appointment is not conflicted
  
  Use case resumes at step 2

Use case: Find patients appointment (UC8)

MSS

User requests to find patient’s appointment list
System retrieve and display patient’s appointments

Use case ends.

Extensions

2a. patient is not exist
- System displays an error message "No such patient"

Use case ends

Use case: cancel patient’s appointment (UC9)

Pre-condition: Patient’s record exists

MSS

User requests to retrieve patient’s appointment list
System finds and display patient’s appointments
User request to cancel patient’s appointment’s timing.
System updates patient’s appointments and patient’s appointment list
System displays success message of cancelling appointment’s timing

Use case ends.

Extensions

2a. The system cannot find the requested patient’s record
- 2a1. System displays an error message. "No such appointment"

Use case ends

Use case: Indicate that a doctor is on-duty and able to tend to patients (UC10)

Pre-condition: Details of the doctor is already registered in system.

MSS

User finds the doctor using either his/her name or staff id.
User assigns the on-duty doctor to a consultation room.
System updates the ui to display the available consultation rooms and doctors.

Use case ends.

Extensions

2a. Consultation room has already been taken.
- 2a1. System shows an error message. Informing the user that the room has already been assigned to another doctor.
Use case ends.

2b. Doctor has already been assigned to a consultation room.
- 2b1. System shows an error message. Informing the user that the doctor has already been assigned to a room.
Use case ends.

Use case: AutoCompleter (UC11)

Actor: Clerk

Guarantees:

Display suggestions of commands available from whatever has been typed.
Autofill of commands selected from AutoCompleter into Command Box.

MSS:

Clerk types "a" into the Command Box.
ClerkPro shows suggestions of commands available for "a".
Clerk selects a command from AutoCompleter.
ClerkPro auto-fills the selected command into Command Box.

Use case ends.

Use case: History (UC12)

Actor: Clerk

Guarantees:

Autofill of commands while traversing History.

MSS:

If AutoCompleter is not suggesting, Clerk can traverse history commands.
While traversing, the command box is auto-filled with the history command.

Use case ends.

Appendix D: Non Functional Requirements

Should work on any mainstream OS as long as it has Java 11 or above installed.
Should be able to hold up to 1,000,000 persons and 1,000,000 events without noticeable lag in User Interface within typical usage.
A user with above average typing speed for regular English text (i.e. not code, not system admin commands) should be able to accomplish most of the tasks faster using commands than using the mouse.
No internet required.
System allows user to undo incorrect or accidental destructive actions
App can be downloaded and run via a jar file

Appendix E: Glossary

Mainstream OS: Windows, Linux, Unix, OS-X
Private contact detail: A contact detail that is not meant to be shared with others

Appendix F: Product Survey

Product Name

Author: …

Pros:

…
…

Cons:

…
…

Appendix G: Instructions for Manual Testing

Given below are instructions to test the app manually.

ℹ️	These instructions only provide a starting point for testers to work on; testers are expected to do more exploratory testing.

G.1. Launch and Shutdown

Initial launch
1. Download the jar file and copy into an empty folder
2. Double-click the jar file
  Expected: Shows the GUI with a set of sample contacts. The window size may not be optimum.
Saving window preferences
1. Resize the window to an optimum size. Move the window to a different location. Close the window.
2. Re-launch the app by double-clicking the jar file.
  Expected: The most recent window size and location is retained. If window settings under preferences.json is corrupted and becomes reasonably small or large, the default size of 800x600 will be used instead.

G.2. Editing a patient

Editing a patient while certain patient(s) have been searched.
1. Prerequisites: Search for an interested person via patient [<SEARCH_KEYWORD>] then press kbd:[ENTER].
2. Test case: editpatient -entry 1 -name test
  Expected: All patients will be listed again with the particular patient of index found after searching has his or her name modified to test.

G.3. Saving data

Dealing with missed/corrupted data files
1. Prerequisites: Removing or Modifying files in data folder residing in same directory as ClerkPro.jar.
2. Test case: Deleting the entire data folder.
  Expected: ClerkPro will attempt to access the folder. If it does not exists, the data folder will be automatically created with default settings. Other jsons beside preferences.json will be created upon modification of sample data loaded.
3. Test case: Corrupting data files by modifying its entries.
  Expected: ClerkPro will try its best to parse the data. If it is not valid, it must be corrupted. Therefore the application will load up with default settings and sample data.

G.4. Navigating in UI

Navigating with keyboard only
1. Test case: kbd:[TAB] key should change focus from the upper panels to Command Box and Command Box to Tab Bar.
  Expected: When TabBar or Command Box is in focus, there should exist an indication of turquoise/blue border.
2. Test case: Both kbd:[UP] and kbd:[DOWN] keys should also work even if the selected item is of the first or last index.
  Expected: When UP is pressed during a selected item in the list view or Tab Bar is of first index, it should brings the selection to the last index of the list view or Tab Bar. Vice versa for the last index when selected.

G.5. Command Box

AutoComplete
1. Test case: *Any partial commands with leading spaces.
  Expected: AutoComplete appears in an aligned overlay showing available commands for whatever has been typed.
2. Test case: newpatient -id with any number of leading spaces but at least one ending space(s).
  Expected: AutoComplete does not suggest any other flags because its previous word is in a flag format.
3. Test case: newpatient -id Mo-name with any number of leading spaces but at least one ending space(s).
  Expected: Since Mo-name is not a flag, AutoComplete should suggest all unused flags but not -id.
4. Test case: Lengthy Command in Command Box reaching the right-most end of the Command Box.
  Expected: AutoComplete will display all suggestions visibly at the right-most end but will lose the perfect alignment since its impossible to align any further while staying visible to the user.
5. Test case: kbd:[UP] & kbd:[DOWN] & kbd:[ENTER] while focus is still on the Command Box.
  Expected: The selection should change according to kbd:[UP] & kbd:[DOWN]. While kbd:[ENTER] should set the selected tag into the Command Box, instead of executing the unfinished Command.
History
1. Prerequisites:
  1. Some commands that has been entered regardless if it is invalid or valid.
  2. Command Box is focused.
  3. AutoComplete is not in action.
2. Test case: Press kbd:[UP] then kbd:[DOWN]
  Expected: Upon kbd:[UP], current text in Command Box is replaced with previously entered command. Then after, pressing kbd:[DOWN] displays an empty command box since the last text that was in the Command Box is not entered and thus not part of history.

Pros	1. Extremely simple to implement.
Cons	1. Search Time Complexity Inefficient: O(nm), where n is number of words and m is length of searched word.

Pros	1. Makes it easier to implement.
Cons	1. Requires additional code to convert into `DateTime` class when carrying out calculating methods.

Pros	1. Creates an intuitive and easily navigable screen to display appointments.
Cons	1. Decreases the efficiency of CLI by having to use GUI inputs.

Files

DeveloperGuide.adoc

Latest commit

History

DeveloperGuide.adoc

File metadata and controls

ClerkPro - Developer Guide

1. Introduction

2. Setting up

3. Design

3.1. Architecture

3.2. UI component

3.3. Logic component

3.4. Model component

3.4.1. Overall Model component

3.5. Storage component

3.6. Common classes

4. Implementation

4.1. Unique Reference Identification

4.2. Undo/Redo feature

4.2.1. Current Implementation

4.3. Reactive Search

4.3.1. Phase 1: UI invoking a Reactive Search Request

4.3.2. Phase 2: Multi-threading and synchronisation of Reactive Search requests

4.4. AutoComplete

Aspect: Data structure to implement AutoComplete

4.5. Queue feature

4.5.1. Current Implementation

4.6. Appointment Feature

4.6.1. Current Implementation

4.6.2. newappt Command

4.6.3. ackappt command

4.6.4. appointments Command

4.6.5. editappt Command

4.6.6. cancelappt Command

4.6.7. missappt Command

4.6.8. settleappt Command

4.6.9. Design Considerations

Aspect: How to store Timing fields

Aspect: display appointments

4.7. Duty Shift Scheduling

4.7.1. Current Implementation

4.7.2. newshift Command

4.7.3. shifts Command

4.7.4. editshift Command

4.7.5. cancelshift Command

4.8. Logging

4.9. Configuration

5. Documentation

6. Testing

7. Dev Ops

Appendix A: Product Scope

Appendix B: User Stories

Appendix C: Use Cases

Use case: Add patient into queue (UC1)

Use case: Remove person from queue (UC2)

Use case: Serve next patient (UC3)

Use case: Doctor takes a break (UC4)

Use case: Doctor resumes his/her duty (UC5)

Use case: Add new a appointment (UC6)

Use case: Change appointment date (UC7)

Use case: Find patients appointment (UC8)

Use case: cancel patient’s appointment (UC9)

Use case: Indicate that a doctor is on-duty and able to tend to patients (UC10)

Use case: AutoCompleter (UC11)

Use case: History (UC12)

Appendix D: Non Functional Requirements

Appendix E: Glossary

Appendix F: Product Survey

Appendix G: Instructions for Manual Testing

G.1. Launch and Shutdown

G.2. Editing a patient

G.3. Saving data

G.4. Navigating in UI

G.5. Command Box

4.6.2. `newappt` Command

4.6.3. `ackappt` command

4.6.4. `appointments` Command

4.6.5. `editappt` Command

4.6.6. `cancelappt` Command

4.6.7. `missappt` Command

4.6.8. `settleappt` Command

4.7.2. `newshift` Command

4.7.3. `shifts` Command

4.7.4. `editshift` Command

4.7.5. `cancelshift` Command