input_file.close()
output_file.close()
return output_file_path
if __name__ == "__main__":
col_mapping = {
'user_id': 1,
'sequence_id': 12,
'problem_id': 0,
'correct': 19,
'difficulty': 16,
'prior_correct': 17,
'prior_incorrect': 18
}
col_mapping_2 = {
'user_id': 1,
'sequence_id': 2,
'problem_id': 3,
'correct': 4
}
input_data = os.path.join(config.get('localfiles', 'data_path'),
'arrs_data.csv')
output_data = os.path.join(config.get('localfiles', 'data_path'),
'arrs_data_pfa.csv')
PFA_converter(input_data, output_data, col_mapping, 1)
from assistments_workbench.config_reader import config
import sqlsoup
username = config.get('postgres', 'username')
password = config.get('postgres', 'password')
db_url = config.get('postgres', 'db_url')
port = config.get('postgres', 'port')
db_str = 'postgresql://%s:%s@%s:%s/assistment_production' % \
(username, password, db_url, port)
db = sqlsoup.SQLSoup(db_str)
session = db.session
if pfa_model == 1:
correct_num_list[seq_pos] = prior_correct
correct_num_list[seq_len + seq_pos] = prior_incorrect
elif pfa_model == 2:
correct_num_list = [prior_correct, prior_incorrect]
output_data = [correct, seq, user, difficulty] + correct_num_list
csv_writer.writerow(output_data)
if correct == 1.0:
this_user_seq['correct_num'] += 1
else:
this_user_seq['incorrect_num'] += 1
correct = 0
input_file.close()
output_file.close()
return output_file_path
if __name__ == "__main__":
col_mapping = {'user_id': 1, 'sequence_id' : 12, 'problem_id' : 0, 'correct': 19, 'difficulty': 16, 'prior_correct': 17, 'prior_incorrect': 18}
col_mapping_2 = {'user_id': 1, 'sequence_id' : 2, 'problem_id' : 3, 'correct': 4}
input_data = os.path.join(config.get('localfiles', 'data_path'), 'arrs_data.csv')
output_data = os.path.join(config.get('localfiles', 'data_path'), 'arrs_data_pfa.csv')
PFA_converter(input_data, output_data, col_mapping, 1)