Re: Django Session KeyError

I checked request.session for simple string (by adding request.session['func_views'] = 'upload_local_dataset' in the upload_local_dataset view) but it is always have an empty request.session in the second view.

Le mercredi 26 février 2020 11:14:23 UTC+1, Naveen Arora a écrit :

this simple means request.session is empty in the view you are trying to access it. Can you test request.session for simple strings if it is working at all. need to checkout what exact problem is. For reference check out -https://docs.djangoproject.com/en/3.0/topics/http/sessions/. 

One more thing check if cookies are not disabled for localhost

Also , are you logged in ? Try after logging in as superuser.

Cheers,

Naveen Arora 

On Wednesday, 26 February 2020 14:26:22 UTC+5:30, Guy NANA wrote:

Hi! Please find bellow the outputs. When I was using sessions stored in cache (specially in Memcached) all things were working good until I wanted to upload a data set with larger volume of data : it wasn't be possible to put them in cache.


Training dataset uploaded :  Coffee
training dataset saved in django session :

 [[0,-0.51841899,-0.48588363,-0.50500747,-0.56018294,-0.63629941,-0.75322902,-0.82722915,-0.85976467,-0.90632072,-0.92379648,-0.93321222,-0.93442926,-0.92078716,-0.93657191,-0.95599685,-0.95934101,-0.96940599,-0.9824055,-0.97659952,-0.96252576,-0.97031893,-0.98199237,-0.9874616,-1.0152202,-1.0480611,-1.0592421,-1.0498854,-1.0467321,-1.0643986,-1.0877935,-1.0993351,-1.0850813,-1.0641912,-1.0545229,-1.044503,-1.0236367,-0.99421712,-0.96371982,-0.92237217,-0.86616903,-0.81351574,-0.77266759,-0.72343976,-0.66424331,-0.63424598,-0.6280451,-0.60469363,-0.56829781,-0.53778323,-0.50569966,-0.4612259,-0.38892741,-0.29296669,-0.20056328,-
...
582,-1.7619773,-1.7640397,-1.7661713,-1.7689397,-1.7722404,-1.7751282,-1.7766233,-1.7782533,-1.7809291,-1.7835006,-1.7858671,-1.7878936,-1.7896332,-1.791887,-1.7937475,-1.795334,-1.7968732]]


training dataset copy saved in django session :
     0         1         2         3         4         5         6         7         8    ...       278       279       280       281       282       283       284       285       286
0     0 -0.518419 -0.485884 -0.505007 -0.560183 -0.636299 -0.753229 -0.827229 -0.859765  ... -1.922313 -1.924212 -1.926997 -1.928721 -1.930026 -1.932301 -1.933631 -1.934963 -1.936007

23    1 -0.654035 -0.634715 -0.625911 -0.650577 -0.710112 -0.793933 -0.876500 -0.917085  ... -1.758149 -1.760285 -1.763167 -1.766203 -1.768161 -1.769878 -1.771651 -1.772835 -1.774231
24    1 -0.675463 -0.617801 -0.619069 -0.664476 -0.751102 -0.841188 -0.900013 -0.937926  ... -1.733537 -1.736082 -1.738777 -1.741560 -1.743612 -1.745258 -1.747073 -1
50    1 -0.674712 -0.633369 -0.648089 -0.706044 -0.763404 -0.841210 -0.926266 -0.967801  ... -1.798162 -1.800553 -1.803785 -1.806106 -1.808189 -1.810410 -1.812302 -1.814185 -1.815227
51    1 -0.637021 -0.624313 -0.602822 -0.644700 -0.735494 -0.798365 -0.866908 -0.920802  ... -1.777194 -1.779707 -1.782322 -1.784423 -1.786802 -1.789479
55    1 -0.665276 -0.636800 -0.639735 -0.687703 -0.760849 -0.839653 -0.898612 -0.923578  ... -1.780929 -1.783501 -1.785867 -1.787894 -1.789633 -1.791887 -1.793747 -1.795334 -1.796873

[56 rows x 287 columns]
In upload_local_dataset Session's keys :  dict_keys(['ts_dataset', 'ts_dataset_copy'])
[26/Feb/2020 08:20:09] "POST /upload_dataset HTTP/1.1" 200 176589
[26/Feb/2020 08:20:13] "GET /uts_datasets HTTP/1.1" 200 35673
In cv_classification Session's keys :  dict_keys([])
Internal Server Error: /cv_classification/5/FOTS/283/None/0/0
Traceback (most recent call last):
  File "/home/proj-guyrostan1/STAGE/tsanalysiswebapp/backend/venv/lib/python3.7/site-packages/django/core/handlers/exception.py", line 34, in inner
    response = get_response(request)
  File "/home/proj-guyrostan1/STAGE/tsanalysiswebapp/backend/venv/lib/python3.7/site-packages/django/core/handlers/base.py", line 115, in _get_response
    response = self.process_exception_by_middleware(e, request)
  File "/home/proj-guyrostan1/STAGE/tsanalysiswebapp/backend/venv/lib/python3.7/site-packages/django/core/handlers/base.py", line 113, in _get_response
    response = wrapped_callback(request, *callback_args, **callback_kwargs)
  File "/home/proj-guyrostan1/STAGE/tsanalysiswebapp/backend/djangobackend/tsanalysisapp/views.py", line 260, in cv_classification
    df = pd.read_json(request.session.get('ts_dataset_copy'), orient='values')
  File "/home/proj-guyrostan1/STAGE/tsanalysiswebapp/backend/venv/lib/python3.7/site-packages/pandas/io/json/_json.py", line 569, in read_json
    path_or_buf, encoding=encoding, compression=compression
  File "/home/proj-guyrostan1/STAGE/tsanalysiswebapp/backend/venv/lib/python3.7/site-packages/pandas/io/common.py", line 224, in get_filepath_or_buffer
    raise ValueError(msg.format(_type=type(filepath_or_buffer)))
ValueError: Invalid file path or buffer object type: <class 'NoneType'>
[26/Feb/2020 08:20:29] "GET /cv_classification/5/FOTS/283/None/0/0 HTTP/1.1" 500 84649

Le mer. 26 févr. 2020 à 08:39, Naveen Arora <naveena...@gmail.com> a écrit :

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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Guy Rostan DJOUNANG  NANA

Élève Ingénieur en Informatique

-- Institut Africain d'Informatique ---
Certifié: LPIC-1 / OCA JAVA SE 8

Maîtrise de Mathématiques, Parcours type: Analyse - Algèbre - Géométrie

-- Faculté des Sciences / Université de Douala-Cameroun ---

Président du Comité des Étudiants de l'IAI

Juin 2017 - Octobre 2019

LinkedIn: Guy Rostan DJOUNANG NANA (www.linkedin.com/in/guy-rostan-djounang-nana/)

(+241) 02512998 / (+33) (0) 785587350

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