Skip to main content

Vichuploader & API platform File is not saved

My problem is actually to upload file with vich. It work perfect with an other entity. But in my user's entity it doesnt work.

Vich uploader configuration :

vich_uploader:
db_driver: orm
mappings:
   user_cover:
       uri_prefix: /media/users
       upload_destination: '%kernel.project_dir%/public/media/users'
       namer: Vich\UploaderBundle\Naming\OrignameNamer
       delete_on_update:   true
       delete_on_remove:   true
   play_media:
       uri_prefix: /media/defis
       upload_destination: '%kernel.project_dir%/public/media/defis'
       namer: Vich\UploaderBundle\Naming\OrignameNamer
       delete_on_update:   true
       delete_on_remove:   true    

The play_media mapping works perfectly but my problem come from user_cover

the part that relates in my user entity :

   /**
               * @ORM\Column(type="string", length=255, nullable=true)
               */
               #[Groups(['read:User'] )]
               private $CoverPath;
           
                /**
                * @var File|null
                * @Assert\File(
                *     maxSize = "2048k",
                *     mimeTypes = {"image/jpeg", "image/png"},
                *     mimeTypesMessage = "Please upload a valid cover image: jpeg or png under 2048k")
                * @Vich\UploadableField(mapping="play_media_test", fileNameProperty="CoverPath")
                */
                private $file;    


 /**
                * Set the value of file
                *
                *  @param File|null  $file
                *  @return User
                */ 
               public function setFile(?File $file = null) :User
               {
           
                   $this->file = $file;
           
                   if ($file instanceof File) {
                       $this->setUpdatedAt(new \DateTime());
                   }
           
                   return $this;
                   
               }    

and my controller ( no checks yet ), in theory I think I'm not supposed to update the date because the setter is already doing it and no need to use the entity manager (I tried anyway), but ...:

public function __invoke(Request $request)
{
    $user_data = $request->attributes->get('data');
    $user_data->setFile($request->files->get('cover'));
    $user_data->setUpdatedAt(new DateTime());
    return $user_data;
}    

and the operation configuartion :

'cover' => [
                   'method' => 'POST' ,
                   'path' => 'user/{id}/cover',
                   'deserialize' => false,
                   'controller' => PostCoverUserController::class,
                   'openapi_context' => [
                       'security' => 
                       [['bearerAuth' => []]], 
                       'summary'     => 'Update the user cover image ',
                       'requestBody' => [
                           'content' => [
                               'multipart/form-data' => [
                                   'schema' => [
                                       'type' => 'object',
                                       'properties' => [
                                           'cover' => [
                                               'type' => 'string', 
                                               'format' => 'biniray'
                                           ]
                                       ]
                                   ]
                               ]
                           ]
                       ]
                       ]                                                                      
               ],    

I reread my code several times and I don't understand why the persistence is not working as expected? however my other upload works perfectly. the api send back the answer, dd works .. only the persistence fails. thank you for your help



source https://stackoverflow.com/questions/70131026/vichuploader-api-platform-file-is-not-saved

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...