An instance of LLM prompting for programming

Resolution:

To implement the attention layer function, we will comply with the rules talked about in the issue assertion and use the prevailing tech stack.

Job Checklist:

1. Create a brand new part named “AwarenessInfo” to render cursor and identify for distant customers.

2. Create a brand new Konva layer to carry all of the “AwarenessInfo” elements.

3. Add the Konva layer to the principle whiteboard part.

4. Create a brand new Redux slice to retailer the attention data for distant customers.

5. Create an encapsulated view mannequin interface for the attention Redux slice.

6. Implement the “AwarenessInfo” part to retrieve and show the attention data for every distant consumer from the view mannequin.

7. Implement a way within the encapsulated view mannequin interface to replace the attention data for every distant consumer.

8. When a distant consumer modifications the cursor location, dispatch the replace technique within the encapsulated view mannequin interface to replace the corresponding consciousness data.

9. Within the “AwarenessInfo” part, use the brand new location to animate the cursor change.

10. Write exams for the brand new “AwarenessInfo” part, together with data-driven exams to make sure it correctly shows the attention data for all distant customers.

11. Write exams for the encapsulated view mannequin interface to make sure it correctly updates the attention data for distant customers.

12. Write end-to-end Cypress exams to make sure the attention layer is correctly displayed and up to date when distant customers change their cursor location.

By following these duties, we will implement the attention layer function within the on-line whiteboard system.

Positive, here is a revised grasp plan with detailed part names, strategies, and props:

Job Checklist:

1. Create a brand new part named “AwarenessInfo” to render cursor and identify for distant customers. This part will obtain props akin to consumer identify, cursor place, and on-line standing.

2. Create a brand new Konva layer named “AwarenessLayer” to carry all of the “AwarenessInfo” elements.

3. Add the “AwarenessLayer” to the principle whiteboard part.

4. Create a brand new Redux slice named “consciousness” to retailer the attention data for distant customers.

5. Create an encapsulated view mannequin interface named “AwarenessViewModel” for the “consciousness” Redux slice. This interface will include a way named “updateUserAwarenessInfo” to replace the attention data for every distant consumer.

6. Implement the “AwarenessInfo” part to retrieve and show the attention data for every distant consumer from the view mannequin. The part will use the “useSelector” hook to retrieve the related data.

7. Implement the “updateUserAwarenessInfo” technique within the “AwarenessViewModel” interface to dispatch a Redux motion to replace the attention data for every distant consumer. This technique shall be referred to as by the “MainWhiteboard” part.

8. When a distant consumer modifications the cursor location, dispatch the “updateUserAwarenessInfo” technique within the “AwarenessViewModel” interface to replace the corresponding consciousness data.

9. Within the “AwarenessInfo” part, use the brand new location to animate the cursor change. This may be completed utilizing the Konva “Tween” animation.

10. Write exams for the brand new “AwarenessInfo” part, together with data-driven exams to make sure it correctly shows the attention data for all distant customers. The exams shall be written utilizing the React Testing Library.

11. Write exams for the encapsulated view mannequin interface to make sure it correctly updates the attention data for distant customers. These exams will use the Vitest framework.

12. Write end-to-end Cypress exams to make sure the attention layer is correctly displayed and up to date when distant customers change their cursor location. The exams will simulate consumer interactions with the whiteboard and confirm the state of the “AwarenessLayer” and “AwarenessInfo” elements.

Positive, here is an instance implementation of the exams for the AwarenessViewModel and the attention slice with out utilizing redux-mock-store:

import { createAwarenessSlice, AwarenessState, updateAwareness } from './awarenessSlice';
import { AwarenessViewModel } from './AwarenessViewModel';

describe('AwarenessViewModel', () => {
  const mockDispatch = jest.fn();
  const initialState: AwarenessState = {
    customers: {
      'user1': {
        identify: 'Consumer 1',
        cursorPosition: { x: 0, y: 0 },
        on-line: true,
      },
      'user2': {
        identify: 'Consumer 2',
        cursorPosition: { x: 100, y: 100 },
        on-line: true,
      },
    },
  };
  let viewModel: AwarenessViewModel;

  beforeEach(() => {
    viewModel = new AwarenessViewModel(initialState, mockDispatch);
  });

  describe('getUserNames', () => {
    it('returns the checklist of consumer names', () => {
      const names = viewModel.getUserNames();
      count on(names).toEqual(['User 1', 'User 2']);
    });
  });

  describe('getCursorPosition', () => {
    it('returns the cursor place for a given consumer ID', () => {
      const cursorPosition = viewModel.getCursorPosition('user1');
      count on(cursorPosition).toEqual({ x: 0, y: 0 });
    });

    it('returns undefined for an unknown consumer ID', () => {
      const cursorPosition = viewModel.getCursorPosition('unknown');
      count on(cursorPosition).toBeUndefined();
    });
  });

  describe('updateCursorPosition', () => {
    it('dispatches the updateAwareness motion with the brand new cursor place', () => {
      viewModel.updateCursorPosition('user1', { x: 50, y: 50 });
      count on(mockDispatch).toHaveBeenCalledWith(updateAwareness({
        consumer: 'user1',
        cursorPosition: { x: 50, y: 50 },
      }));
    });
  });
});

And here is an instance implementation of the awarenessSlice with out utilizing redux-mock-store:

import { createSlice, PayloadAction } from '@reduxjs/toolkit';

export sort CursorPosition = { x: quantity, y: quantity };

export sort UserAwareness = {
  identify: string;
  cursorPosition: CursorPosition;
  on-line: boolean;
};

export sort AwarenessState = {
  customers: File<string, UserAwareness>;
};

const initialState: AwarenessState = {
  customers: {},
};

const awarenessSlice = createSlice({
  identify: 'consciousness',
  initialState,
  reducers: {
    updateAwareness: (state, motion: PayloadAction<{ consumer: string, cursorPosition: CursorPosition }>) => {
      const { consumer, cursorPosition } = motion.payload;
      state.customers[user].cursorPosition = cursorPosition;
    },
    setOnline: (state, motion: PayloadAction<{ consumer: string, on-line: boolean }>) => {
      const { consumer, on-line } = motion.payload;
      state.customers[user].on-line = on-line;
    },
  },
});

export const { updateAwareness, setOnline } = awarenessSlice.actions;
export const awarenessReducer = awarenessSlice.reducer;

Be aware that since we’re not utilizing redux-mock-store, we have to cross a mock dispatch operate to the view mannequin constructor, and within the check for updateCursorPosition we have to test that the proper motion was dispatched utilizing jest.fn().