Hi, In your Django application, session middleware is enabled ? [1]
[1] https://docs.djangoproject.com/en/3.0/topics/http/sessions/ On Tue, Feb 25, 2020 at 8:16 AM Guy NANA <[email protected]> wrote: > 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! >>> >> -- > You received this message because you are subscribed to the Google Groups > "Django users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/django-users/c0d3a833-15f2-415f-b4e0-c05951f523f0%40googlegroups.com > <https://groups.google.com/d/msgid/django-users/c0d3a833-15f2-415f-b4e0-c05951f523f0%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- Juan -- You received this message because you are subscribed to the Google Groups "Django users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/django-users/CAJK1Jg26mZp4wdq9tmiAmhUCRY4vZk5krLrBaP3hSwkBWh%3DDnA%40mail.gmail.com.
