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
> <javascript:>> 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/
> <http://www.linkedin.com/in/guy-rostan-djounang-nana/>)*
> *(+241) 02512998*
> * / (+33) (0) 785587350*
>
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