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FRGCF / data /loader.py
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import os.path
from os import remove
from re import split
class FileIO(object):
def __init__(self):
pass
@staticmethod
def write_file(dir, file, content, op='w'):
if not os.path.exists(dir):
os.makedirs(dir)
with open(dir + file, op) as f:
f.writelines(content)
@staticmethod
def delete_file(file_path):
if os.path.exists(file_path):
remove(file_path)
@staticmethod
def load_data_set(file, dtype):
data = []
if dtype == 'graph':
with open(file) as f:
for line in f:
items = split(' ', line.strip())
user_id = items[0]
item_id = items[1]
weight = items[2]
data.append([user_id, item_id, float(weight)])
if dtype == 'sequential':
training_data, test_data = [], []
with open(file) as f:
for line in f:
items = split(':', line.strip())
user_id = items[0]
seq = items[1].strip().split()
training_data.append(seq[:-1])
test_data.append(seq[-1])
data = (training_data, test_data)
return data
@staticmethod
def load_user_list(file):
user_list = []
print('loading user List...')
with open(file) as f:
for line in f:
user_list.append(line.strip().split()[0])
return user_list
@staticmethod
def load_social_data(file):
social_data = []
print('loading social data...')
with open(file) as f:
for line in f:
items = split(' ', line.strip())
user1 = items[0]
user2 = items[1]
if len(items) < 3:
weight = 1
else:
weight = float(items[2])
social_data.append([user1, user2, weight])
return social_data