def download_data(request):
try:
data_id = request.GET.get('data_id')
user_id = request.GET.get('user_id')
data_path = data_id + '.csv'
data_cont_query = Datasets.objects.filter(
data_id=data_id, user_id=user_id).values('data_cont')
if len(data_cont_query) == 0:
raise Exception('Oops! No access!')
data_cont = list(data_cont_query)[0]['data_cont']
pd.read_json(data_cont).to_csv(data_path, index=False)
data_file = open(data_path, 'rb')
response = FileResponse(data_file)
response['Content-Type'] = 'application/octet-stream'
response[
'Content-Disposition'] = 'attachment;filename=\"' + data_id + '.csv\"'
except Exception as e:
response_content = {}
response = HttpResponse()
response_content['msg'] = str(e)
response_content['error_num'] = 1
response.write(json.dumps(response_content))
return response
def download_data(request):
try:
data_id = request.GET.get('data_id')
user_id = request.GET.get('user_id')
data_path = data_id + '.csv'
fetched = Datasets.objects.filter(data_id=data_id,
user_id=user_id).values(
'hdfs_path', 'data_name')
if len(fetched) == 0:
raise Exception('Oops! No access!')
if list(fetched)[0]['hdfs_path']:
client = InsecureClient("http://hdfs.neurolearn.com:50070",
user="******")
client.download(list(fetched)[0]['hdfs_path'] + '/' +
list(fetched)[0]['data_name'],
data_path,
overwrite=True)
else:
data_cont_query = Datasets.objects.filter(
data_id=data_id, user_id=user_id).values('data_cont')
if len(data_cont_query) == 0:
raise Exception('Oops! No access!')
data_cont = list(data_cont_query)[0]['data_cont']
pd.read_json(data_cont).to_csv(data_path, index=False)
data_file = open(data_path, 'rb')
response = FileResponse(data_file)
response['Content-Type'] = 'application/octet-stream'
response[
'Content-Disposition'] = 'attachment;filename=\"' + data_id + '.csv\"'
except Exception as e:
traceback.print_exc()
response_content = {}
response = HttpResponse()
response_content['msg'] = str(e)
response_content['error_num'] = 1
response.write(json.dumps(response_content))
return response