Skip to main content

Django - Redirect Unauthenticated User trying to access UpdateView to DetailView

This is my last brain cell speaking.
I have a model called Post with title, body, author, logo and pub_date fields.
There is a page in my app that the user can Update/Edit the post. I want the user to be redirected to the Post's Detail page if they tried to access it without being logged in.
The problem is that I can't reference the Post's pk to redirect the user to the related page, If I want to put it simply:
the user trying to access .../2/edit/ will be redirected to .../2/ if they aren't logged in

I Tried using LoginRequiredMixin to block the user but I can't redirect the user to the relative details page.

urls.py:

urlpatterns = [
    path('', PostListView.as_view(), name='index'),
    path('<int:pk>/', PostDetailView.as_view(), name='details'),
    path('new/', PostCreateView.as_view(), name='new_post'),
    path('<int:pk>/edit', PostUpdateView.as_view(), name='update_post'),
]

views.py:

class PostUpdateView(LoginRequiredMixin, UpdateView):
    model = Post
    login_url = reverse_lazy('details', args=[self.object.pk,]) 
    form_class = PostUpdateForm
    template_name = "posts/update_post.html"

I also tried:

class PostUpdateView(LoginRequiredMixin, UpdateView):
    def get_login_url(self) -> str:
        super().get_login_url()
        UpdateView.get(self, self.request)
        self.login_url = reverse_lazy('details', args=[self.object.pk,])
    model = Post
    form_class = PostUpdateForm
    template_name = "posts/update_post.html"

But it returns an empty/none value

Is LoginRequiredMixin even the right way to do this?
I know this can easily be achieved without GenericViews/UpdateView just by getting the request and handling it ourselves, But isn't GenericViews supposted to get the job done easier?



source https://stackoverflow.com/questions/73388566/django-redirect-unauthenticated-user-trying-to-access-updateview-to-detailview

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...