Re: Django Session KeyError

I don't understand the first part of your answer : Make sure your line request.session['ts_dataset_copy'], print anything above it.

 For sending dataset file from angular app to django, I've used a post request.

The matter is that when I send the second http crosss-origin from angular app to my django app the previously session's elements that I've stored doesn't exist anymore. (I checked the session keys in the upload_local_dataset and receive In upload_local_dataset Session's keys : dict_keys(['ts_dataset', 'ts_dataset_copy']) but in the second views I received an empty dict In cv_classification Session's keys : dict_keys([]) so pandas' read_json throws an error ValueError: Invalid file path or buffer object type:

How can I save the state of session between two http cross-origin from angular app to django app ?

Le mardi 25 février 2020 13:29:53 UTC+1, Pankaj Sharma a écrit :

Make sure your line request.session['ts_dataset_copy'], print anything above it, also make sure you are using POST method in forms (method = "post") 

On Tuesday, February 25, 2020 at 3:47:25 AM UTC+5:30, Guy NANA wrote:

I have an angular frontend app which send file to django backend which data is setting in django session. After I send a httprequest to django backend to make ML tratements on that data and get the results. But I've a 500 sever error: keyerror 'ts_dataset_copy': KeyError: 'ts_dataset_copy'
[24/Feb/2020 18:43:46] "GET /cv_classification/5/FOTS/283/None/0/0 HTTP/1.1" 500 78264. Here are my django code:

Firstly I upload timeseries dataset file from angular frontend (All thing is ok)   

@csrf_exempt
    def upload_local_dataset(request):
        if request.method == 'POST':
            dataset = pd.read_csv(request.FILES.get('datasetfilepath'), header=None, index_col=None)
            request.session['ts_datset'] = dataset.to_json(orient='values')
            request.session['ts_dataset_copy'] = dataset.to_json(orient='values')
   
            return HttpResponse(dataset.to_json(orient='values'))

# second httrequest that throws a server internal error

    def cv_classification(request, kfolds, dissimilarity_func, windows_length=0, noisy_law="", mu=0,
   
        std=0):
            noisy_law = noisy_law.lower()
            df = pd.read_json(request.session['ts_dataset_copy'], orient='values')
            predictions = cv_classify(df, kfolds, dissimilarity_func, windows_length, noisy_law, mu, std)
            return JsonResponse(predictions, safe=False)

Thanks for your help!

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