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 mercredi 26 février 2020 08:38:08 UTC+1, Naveen Arora 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!
Le lundi 24 février 2020 23:17:25 UTC+1, Guy NANA a écrit :
>
> 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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