Skip to main content

Cannot access POST data using NodeJS/Express and HTML Form

In my application, I have a form with the action pointing to a nodejs endpoint. It is sucessfully performing the action, but when i try to extract the posted data from req, it refuses to give me anything. I may just be looking in the wrong place.

Here is my HTML

<body>
    <h1>Hello, you are here</h1>
    <form action="/archive_message" method="post">
        Message URL: <input type="text" name="urlToProcess">
        <select>
            <option name="process-method" value="msg">Message</option>
            <option name="process-method" value="trd">Thread</option>
            <option name="process-method" value="act">Account</option>
        </select>
        <input type = "submit" value = "Submit">
    </form>
</body>

here is my js

server.start().then(res => {
   server.applyMiddleware({app})
   app.listen(8081, function () {   
      console.log("Running!");
   })
});


app.get('/', function (req, res) {
   res.sendFile( __dirname + "/" + "index.html");
   console.log("200 - GET");
});


app.post('/archive_message', function (req, res) {
   console.log(req.body.urlToProcess);
   res.redirect("/");
})

When i log req.body, i just get header info, when i try to dig further, i get errors. How am i supposed to be accessing the data submitted by the form?

specifically, i am getting this error: TypeError: Cannot read properties of undefined (reading 'urlToProcess')

Any help is appreciated.

Via Active questions tagged javascript - Stack Overflow https://ift.tt/yD6BWQd
Labels:

Comments

Post a Comment

Popular posts from this blog

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
Post a Comment
Read more

How to split a rinex file if I need 24 hours data

Trying to divide rinex file using the command gfzrnx but getting this error. While doing that getting this error msg 'gfzrnx' is not recognized as an internal or external command Trying to split rinex file using the command gfzrnx. also install'gfzrnx'. my doubt is I need to run this program in 'gfzrnx' or in 'cmdprompt'. I am expecting a rinex file with 24 hrs or 1 day data.I Have 48 hrs data in RINEX format. Please help me to solve this issue. source https://stackoverflow.com/questions/75385367/how-to-split-a-rinex-file-if-i-need-24-hours-data
Post a Comment
Read more

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