Skip to main content

How to post data from js client to golang server

I want to create a simple rest api authorization service where js/html is client, golang is server and postgres is db. I had success posting body from postman and I received expected answer and data were added to db. But when I am trying to do the same from my js/html client the answer is null - {"message":"Invalid request","status":false}.

Here is my golang example code:

var CreateAccount = func(w http.ResponseWriter, r *http.Request) {
    account := &models.Account{}
    err := json.NewDecoder(r.Body).Decode(account) //decode the request body into struct and failed if any error occur
    if err != nil {
        utils.Respond(w, utils.Message(false, "Invalid request"))
        return
    }

    resp := account.Create() //Create account
    utils.Respond(w, resp)
}

Client:

'use strict'

const form = document.getElementById('form');
const url = "http://localhost:8080/api/user/login";


const myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");

form.addEventListener('submit', (e) => {
    e.preventDefault();

    const data = new FormData(form);

    let preparedData = JSON.stringify([...data].flat());
    console.log(preparedData)

    fetch(url, {
        method: "POST",
        body: data,
    })
        .then(response => response.text())
        .then(result => console.log(result))
        .catch(error => console.log('error', error));
});
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link rel='stylesheet' href='style.css'>
    <title>Real Estate Moskow Hack</title>
</head>
<body>
    <header class="header">

    </header>
    <!-- HEADER END -->
    
    <main class="main">

        <form action="http://localhost:8080/api/user/login" method="POST" id="form">

            <input class="email" type="text" name="email" placeholder="Š’Š²ŠµŠ“ŠøтŠµ email">
            <input class="password" type="password" name="password" id="password" placeholder="Š’Š²ŠµŠ“ŠøтŠµ ŠæŠ°Ń€Š¾Š»ŃŒ">
            <button class="button" type="submit">send data</button>
        </form>
        
    </main>
    <!-- MAIN END -->
    
    <footer class="footer">

    </footer>
    <script src="script.js"></script>
</body>
</html>

Please tell me where there might be a problem on a server or client and why?

Via Active questions tagged javascript - Stack Overflow https://ift.tt/XIp7yGY

Comments

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...

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

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...