Skip to main content

TypeError: fs.readdir is not a function in reactjs

I'm trying to create a Blog posting project in React.js But, I'm new to Js itself.

What I'm trying to do is, reading the list of files from the directory.

 const fs = require("fs");
 const path = require("path");
 const dirPath = path.join(__dirname,"../data/blogs/");
 const getBlog = async () => {
     await fs.readdir(dirPath,(err, files) => {
         if(err) {
             return console.log("Failed to list contents of directory: " + err)
         }
         console.log(files)
         files.forEach((file,i) => {
             fs.readFile(`${dirPath}/${file}` , "utf8" , (err,contents) => {
             })
         })
     })
 }

I tried to do it from a YouTube video. But I got an error something like this. TypeError

Do I have to explicitly install fs into my project?

Then I saw some people doing

 const fs = require("fs").promises;

instead of

 const fs = require("fs");

I tried that too.

I also read some documentation from the node.js(Documentation)

import { readdir } from "fs/promises";

And tried to import that too. Didn't work saying that fs/promises not found.

Idk what exactly is the problem.

Do I have to do something in package.json?

Do I have to install fs?If so how?

I saw stackoverflow answers but none provided clarity to my mind, so kindly help me out.

Thank you in advance.

I'm using React.js with Tailwindcss.

Via Active questions tagged javascript - Stack Overflow https://ift.tt/2FdjaAW

Comments

Popular posts from this blog

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype

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...