def get_metadata_and_save(self, request, *args, **kwargs):
uploadedFile = request.data['file']
delimiter = get_delimiter(uploadedFile.name)
df = pd.DataFrame(pd.read_csv(uploadedFile, sep=delimiter))
column_headers = list(df.columns.values)
num_rows = len(df.index)
serializer = RequesterInputFileSerializer(data=request.data)
if serializer.is_valid():
id = serializer.create()
metadata = {'id': id, 'num_rows': num_rows, 'column_headers': column_headers}
return Response({'metadata': metadata})
else:
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
def create(self, **kwargs):
uploaded_file = self.validated_data['file']
batch_file = BatchFile(file=uploaded_file)
delimiter = get_delimiter(uploaded_file.name)
df = pd.DataFrame(pd.read_csv(uploaded_file, sep=delimiter, encoding='utf-8'))
df = df.where((pd.notnull(df)), None)
column_headers = list(df.columns.values)
num_rows = len(df.index)
first_row = dict(zip(column_headers, list(df.values[0])))
batch_file.number_of_rows = num_rows
batch_file.column_headers = column_headers
batch_file.first_row = first_row
batch_file.name = uploaded_file.name
batch_file.save()
return batch_file
def get_metadata_and_save(self, request, *args, **kwargs):
uploadedFile = request.data['file']
delimiter = get_delimiter(uploadedFile.name)
df = pd.DataFrame(pd.read_csv(uploadedFile, sep=delimiter))
column_headers = list(df.columns.values)
num_rows = len(df.index)
serializer = RequesterInputFileSerializer(data=request.data)
if serializer.is_valid():
id = serializer.create()
first_row = dict(zip(column_headers, list(df.values[0])))
metadata = {
'id': id,
'num_rows': num_rows,
'column_headers': column_headers,
'first': first_row
}
return Response({'metadata': metadata})
else:
return Response(serializer.errors,
status=status.HTTP_400_BAD_REQUEST)
def parse_csv(self):
delimiter = get_delimiter(self.file.name)
df = pd.DataFrame(pd.read_csv(self.file, sep=delimiter))
df = df.where((pd.notnull(df)), None)
return df.to_dict(orient='records')
def parse_csv(self):
delimiter = get_delimiter(self.file.name)
df = pd.DataFrame(
pd.read_csv(self.file, sep=delimiter, encoding='utf-8'))
df = df.where((pd.notnull(df)), None)
return df.to_dict(orient='records')
def parse_csv(self):
delimiter = get_delimiter(self.file.name)
df = pd.DataFrame(pd.read_csv(self.file, sep=delimiter))
return df.to_dict(orient='records')
def parse_csv(self):
delimiter = get_delimiter(self.file.name)
df = pd.DataFrame(pd.read_csv(self.file, sep=delimiter))
return df.to_dict(orient='records')
