training_data = csv.reader(csvfile, delimiter=',')
columns = []
column_names = []
path = create_dataset_folder(workspace_path)
send_json_message(0, 'Reading data')
for row in training_data:
column_count = 0
for item in row:
if line_count == 0:
column_names.append(item)
elif line_count == 1:
columns.append(
Column.create_column_with_item(
column_names[column_count], item))
else:
columns[column_count].process_item(item)
column_count += 1
line_count += 1
output_path = '%s/graph.json' % path
send_json_message(1, 'Saving graph')
output = []
for column in columns:
output.append(column.get_graph_data())
write_to_file(output, output_path, workspace_path)
copyfile(file_path,
get_actual_path('%s/data.csv' % path, workspace_path))
