<s> '''<STR_LIT>''' <EOL> import csv <EOL> import json <EOL> import xmltodict <EOL> from itertools import islice <EOL> from brain . validator . validate_dataset import Validate_Dataset <EOL> class Convert_Upload ( object ) : <EOL> '''<STR_LIT>''' <EOL> def __init__ ( self , svm_data , is_json = False ) : <EOL> '''<STR_LIT>''' <EOL> self . svm_data = svm_data <EOL> self . is_json = is_json <EOL> self . observation_labels = None <EOL> self . count_features = None <EOL> def csv_to_dict ( self ) : <EOL> '''<STR_LIT>''' <EOL> list_dataset = [ ] <EOL> list_observation_label = [ ] <EOL> list_feature_label = [ ] <EOL> dataset_reader = csv . reader ( <EOL> self . svm_data , <EOL> delimiter = '<STR_LIT:U+0020>' , <EOL> quotechar = '<STR_LIT:|>' <EOL> ) <EOL> for row in islice ( dataset_reader , <NUM_LIT:0> , <NUM_LIT:1> ) : <EOL> row_indep_label = row [ <NUM_LIT:0> ] . split ( '<STR_LIT:U+002C>' ) <EOL> for value in islice ( row_indep_label , <NUM_LIT:1> , None ) : <EOL> validate = Validate_Dataset ( value ) <EOL> validate . validate_label ( ) <EOL> list_error = validate . get_errors ( ) <EOL> if list_error : <EOL> print list_error <EOL> return None <EOL> else : <EOL> list_feature_label . append ( value ) <EOL> for dep_index , row in enumerate ( islice ( dataset_reader , <NUM_LIT:0> , None ) ) : <EOL> row_dep_label = row [ <NUM_LIT:0> ] . split ( '<STR_LIT:U+002C>' ) <EOL> for value in row_dep_label [ : <NUM_LIT:1> ] : <EOL> validate = Validate_Dataset ( value ) <EOL> validate . validate_label ( ) <EOL> list_error = validate . get_errors ( ) <EOL> if list_error : <EOL> print list_error <EOL> return None <EOL> else : <EOL> list_observation_label . append ( value ) <EOL> row_indep_variable = row [ <NUM_LIT:0> ] . split ( '<STR_LIT:U+002C>' ) <EOL> if not self . count_features : <EOL> self . count_features = len ( row_indep_variable ) - <NUM_LIT:1> <EOL> for indep_index , value in enumerate ( <EOL> islice ( row_indep_variable , <NUM_LIT:1> , None ) <EOL> ) : <EOL> try : <EOL> validate = Validate_Dataset ( value ) <EOL> validate . validate_value ( ) <EOL> list_error = validate . get_errors ( ) <EOL> if list_error : <EOL> print list_error <EOL> return None <EOL> else : <EOL> value = float ( value ) <EOL> except Exception as error : <EOL> print error <EOL> return False <EOL> list_dataset . append ( { <EOL> '<STR_LIT>' : list_observation_label [ dep_index ] , <EOL> '<STR_LIT>' : list_feature_label [ indep_index ] , <EOL> '<STR_LIT>' : value <EOL> } ) <EOL> self . svm_data . close ( ) <EOL> self . observation_labels = list_observation_label <EOL> return list_dataset <EOL> def json_to_dict ( self ) : <EOL> '''<STR_LIT>''' <EOL> list_dataset = [ ] <EOL> observation_labels = [ ] <EOL> if self . is_json : <EOL> dataset = self . svm_data <EOL> else : <EOL> dataset = json . load ( self . svm_data ) <EOL> for observation_label in dataset : <EOL> observations = dataset [ observation_label ] <EOL> if type ( observations ) == list : <EOL> for observation in observations : <EOL> for feature_label , feature_value in observation . items ( ) : <EOL> list_dataset . append ( { <EOL> '<STR_LIT>' : observation_label , <EOL> '<STR_LIT>' : feature_label , <EOL> '<STR_LIT>' : feature_value <EOL> } ) <EOL> if not self . count_features : <EOL> self . count_features = len ( observation ) <EOL> elif type ( observations ) == dict : <EOL> for feature_label , feature_value in observations . items ( ) : <EOL> list_dataset . append ( { <EOL> '<STR_LIT>' : observation_label , <EOL> '<STR_LIT>' : feature_label , <EOL> '<STR_LIT>' : feature_value <EOL> } ) <EOL> if not self . count_features : <EOL> self . count_features = len ( observations ) <EOL> observation_labels . append ( observation_label ) <EOL> if not self . is_json : <EOL> self . svm_data . close ( ) <EOL> self . observation_labels = observation_labels <EOL> return list_dataset <EOL> def xml_to_dict ( self ) : <EOL> '''<STR_LIT>''' <EOL> list_dataset = [ ] <EOL> list_observation_label = [ ] <EOL> dataset = xmltodict . parse ( self . svm_data ) <EOL> for observation in dataset [ '<STR_LIT>' ] [ '<STR_LIT>' ] : <EOL> observation_label = observation [ '<STR_LIT>' ] <EOL> validate = Validate_Dataset ( observation_label ) <EOL> validate . validate_label ( ) <EOL> list_error = validate . get_errors ( ) <EOL> if list_error : <EOL> print list_error <EOL> return None <EOL> else : <EOL> list_observation_label . append ( observation_label ) <EOL> for feature in observation [ '<STR_LIT>' ] : <EOL> feature_label = feature [ '<STR_LIT:label>' ] <EOL> feature_value = feature [ '<STR_LIT:value>' ] <EOL> validate_label = Validate_Dataset ( feature_label ) <EOL> validate_value = Validate_Dataset ( feature_value ) <EOL> validate_label . validate_label ( ) <EOL> validate_value . validate_value ( ) <EOL> list_error_label = validate . get_errors ( ) <EOL> list_error_value = validate . get_errors ( ) <EOL> if list_error_label or list_error_value : <EOL> print list_error_label <EOL> print list_error_value <EOL> return None <EOL> else : <EOL> list_dataset . append ( { <EOL> '<STR_LIT>' : observation_label , <EOL> '<STR_LIT>' : feature_label , <EOL> '<STR_LIT>' : feature_value <EOL> } ) <EOL> if not self . count_features : <EOL> self . count_features = len ( observation [ '<STR_LIT>' ] ) <EOL> self . svm_data . close ( ) <EOL> self . observation_labels = list_observation_label <EOL> return list_dataset <EOL> def get_observation_labels ( self ) : <EOL> '''<STR_LIT>''' <EOL> return self . observation_labels <EOL> def get_feature_count ( self ) : <EOL> '''<STR_LIT>''' <EOL> return self . count_features </s>
