Skip to main content

Nuxt 3/Vue 3 Reactivity issue, while rendering component in v-for loop

Hey community :) I have a reactivity issue (I think it is about reactivity).

Description

I have FileInput.vue component. With that component I upload files to project. When the new image is added, the new field is pushing to the form.allImages reactive array:

@add="addImageField"

addImageField function:

const addImageField = (): void => {
  form.allImages.push({ filename: '' });
};

Reactive data:

import type { Images } from '@/types/images.d';

interface Work {
  allImages: Images[];
}

const form: Work = reactive({
  allImages: [{ filename: '' }],
});

Problem description

When I add 2 images and then try to delete the first one using:

const deleteImageField = (index: number): void => {
   form.allImages.splice(index, 1);
};

the first block is removing correctly and the second comes up to its place (it is correct), but now the second image block need to be empty(with clear value to be able to add image to that). The value of the second element in form.allImages is clear, but the component block is not empty, there remains the image of the block that now is the first element in the array.

Image: https://github.com/nuxt/nuxt/assets/73745478/74981582-05ea-4910-9387-7240dc4394c2

Reproduction

https://stackblitz.com/edit/nuxt-starter-qeaeuf?file=app.vue Here is the reproduction.

How to use the reproduction

Click to the Add Image block and choose any image from your PC and there will be shown static favicon.ico file just for the example. And there will appear the Delete button for deleting that image. Above all the blocks you can see the data block for tracking data.

How it is supposed to work

After the delete the image block with empty value need to be empty(without any image, and be able for the user to upload image).

**Thank you for the attention. Please help if you can :)

P.S. If you have any ideas of making that code better, write it too. Thank you.**

Via Active questions tagged javascript - Stack Overflow https://ift.tt/GhtUTrw

Labels

Labels:

Comments

Post a Comment

Popular posts from this blog

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...
Post a Comment
Read more

Sorting large arrays of big numeric stings

I was solving bigSorting() problem from hackerrank: Consider an array of numeric strings where each string is a positive number with anywhere from to digits. Sort the array's elements in non-decreasing, or ascending order of their integer values and return the sorted array. I know it works as follows: def bigSorting(unsorted): return sorted(unsorted, key=int) But I didnt guess this approach earlier. Initially I tried below: def bigSorting(unsorted): int_unsorted = [int(i) for i in unsorted] int_sorted = sorted(int_unsorted) return [str(i) for i in int_sorted] However, for some of the test cases, it was showing time limit exceeded. Why is it so? PS: I dont know exactly what those test cases were as hacker rank does not reveal all test cases. source https://stackoverflow.com/questions/73007397/sorting-large-arrays-of-big-numeric-stings
Post a Comment
Read more

How to load Javascript with imported modules?

I am trying to import modules from tensorflowjs, and below is my code. test.html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Document</title </head> <body> <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.0.0/dist/tf.min.js"></script> <script type="module" src="./test.js"></script> </body> </html> test.js import * as tf from "./node_modules/@tensorflow/tfjs"; import {loadGraphModel} from "./node_modules/@tensorflow/tfjs-converter"; const MODEL_URL = './model.json'; const model = await loadGraphModel(MODEL_URL); const cat = document.getElementById('cat'); model.execute(tf.browser.fromPixels(cat)); Besides, I run the server using python -m http.server in my command prompt(Windows 10), and this is the error prompt in the console log of my browser: Failed to loa...
Post a Comment
Read more