def __init__(self, output_file, feature_builder, dim_items_index):
self.outfd = open(output_file, 'w')
self.feature_builder = feature_builder
self.dim_items_index = dim_items_index
self.sample_feature_map = {}
self.sample_feature_total_len = 0
self.pos_fea_id = set()
self.dis = Distribute()
pass
log.debug('PackageHandler Initialized')
def NewDownload(self, pathname):
try:
self.distribute.distribute(pathname)
except:
an_error = traceback.format_exc(1)
log.error(traceback.format_exception_only(type(an_error), an_error)[-1])
log.error('Rename skipped for: {}'.format(os.path.basename(pathname)))
if __name__ == "__main__":
logger.initialize()
library = Distribute()
daemon = MyDaemon('/tmp/daemon-DownloadMonitor2.pid', library)
Library.args = library.options.parser.parse_args(sys.argv[1:])
log.debug("Parsed command line: {!s}".format(library.args))
log_level = logging.getLevelName(library.args.loglevel.upper())
if library.args.logfile == 'daddyvision.log':
log_file = '{}.log'.format(__pgmname__)
else:
log_file = os.path.expanduser(library.args.logfile)
# If an absolute path is not specified, use the default directory.
if not os.path.isabs(log_file):
log_file = os.path.join(logger.LogDir, __pgmname__, log_file)
class SampleBuilder:
def __init__(self, output_file, feature_builder, dim_items_index):
self.outfd = open(output_file, 'w')
self.feature_builder = feature_builder
self.dim_items_index = dim_items_index
self.sample_feature_map = {}
self.sample_feature_total_len = 0
self.pos_fea_id = set()
self.dis = Distribute()
pass
def __add_to_dis(self, fea):
for id in fea:
self.dis.add(id)
def __add_to_map(self, fea, target):
self.sample_feature_map[str(fea)] = target
self.sample_feature_total_len += len(fea)
def __print_feature(self, fea, target):
out_str = "%d " %(target)
for fid in fea:
out_str += "%d:1 " % (fid)
#print out_str.strip()
print >> self.outfd, out_str.strip()
def __create_a_sample(self, item_id_a, item_id_b):
item_a = self.dim_items_index.get(item_id_a, None)
if not item_a != None:
write_log(msg = '__create_a_sample get no item, id:%d' % item_id_a)
return
item_b = self.dim_items_index.get(item_id_b, None)
if not item_b != None:
write_log(msg = '__create_a_sample get no item, id:%d' % item_id_a)
return
item_a.pos = 1
item_b.pos = 2
fea_a = self.feature_builder.get_feature(item_a)
fea_b = self.feature_builder.get_feature(item_b)
fea = fea_a + fea_b
if len(fea) == 0 : write_log(msg = 'fea len is 0, item_id %d %d' % (item_id_a, item_id_b) )
fea = sorted(fea)
self.__add_to_dis(fea)
self.__add_to_map(fea, 1)
self.__print_feature(fea, 1)
item_a.pos = 2
item_b.pos = 1
fea_a = self.feature_builder.get_feature(item_a)
fea_b = self.feature_builder.get_feature(item_b)
fea = fea_a + fea_b
fea = sorted(fea)
self.__add_to_dis(fea)
self.__add_to_map(fea, 1)
self.__print_feature(fea, 1)
def get_sample_fea_average(self):
return self.sample_feature_total_len / len(self.sample_feature_map)
def process_a_line(self, line):
items = line.strip().split(' ')
if len(items) < 2 : return
match_group = items[1]
match_cats = match_group.split(';')
for i in range(0, len(match_cats)):
tmp_list = map(int, match_cats[i].split(','))
match_cats[i] = tmp_list
for i in range(0, len(match_cats)):
for j in range(i+1, len(match_cats)):
if i == j: continue
groups_a = match_cats[i]
groups_b = match_cats[j]
for item_a in groups_a:
for item_b in groups_b:
# item_a and item_b are item id
self.__create_a_sample(item_a, item_b)
def build_from_file(self, filename):
infd = open(filename)
for line in infd:
self.process_a_line(line)
def add_negative(self, negative_num = -1, positive_num = -1, max_fea_id = -1):
if positive_num == -1 : positive_num = len(self.sample_feature_map)
if negative_num == -1 : negative_num = positive_num * 10
if max_fea_id == -1 : max_fea_id = self.feature_builder.feature_id_count
import random
average_sample_fea_len = self.get_sample_fea_average()
pos_fea_id_list = list(self.pos_fea_id)
pos_fea_id_num = len(pos_fea_id_list)
print 'pos_fea_id_num : %d' % (pos_fea_id_num)
print 'positive_num : %d' % (positive_num)
print 'negative_num : %d' % (negative_num)
print 'max_fea_id : %d' % (max_fea_id)
print 'average_sample_fea_len : %d' %(average_sample_fea_len)
self.dis.build()
for i in range(0, negative_num):
target_len = random.randrange(0, average_sample_fea_len) + average_sample_fea_len/2
fea = []
for j in range(0, target_len):
id = self.dis.gen_rand()
fea.append(id)
fea = set(fea)
while len(fea) < target_len:
id = self.dis.gen_rand()
if id in fea: continue
fea.add(id)
fea = sorted(list(fea))
key = str(fea)
if not self.sample_feature_map.has_key(key):
self.__add_to_map(fea, 0)
self.__print_feature(fea, 0)
