Re: Django Session KeyError

Hi, 

please post the output of debugging the above, print after and before in these views and also check is something else is working using request.session. 

@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')

            print(dataset.to_json(orient='values'))

            request.session['ts_dataset_copy'] = dataset.to_json(orient='values')
            print(request.session['ts_dataset_copy'])

            return HttpResponse(dataset.to_json(orient='values'))
Post output of this plus the below one

def cv_classification(request, kfolds, dissimilarity_func, windows_length=0, noisy_law="", mu=0,std=0):
            noisy_law = noisy_law.lower()

            print(request.session['ts_dataset_copy'])

            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)

On Tuesday, 25 February 2020 03:47:25 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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