def __save_time_window_info_to_file(cls, cid, time_window_list):
file_path = os.path.join(FileUtil.get_zscore_dir(), str(cid) + "-time-window-info.txt")
with codecs.open(file_path, "wb", "utf-8") as output_file:
for time_window in time_window_list:
time_window_info = unicode(str(time_window.time_window_index)) + u"\t" \
+ DateTimeUtil.format_barrage_play_timestamp(time_window.start_timestamp) + u"\t" \
+ DateTimeUtil.format_barrage_play_timestamp(time_window.end_timestamp) + u"\t" \
+ unicode(str(time_window.barrage_count)) + u"\t" \
+ unicode(str(time_window.valid_barrage_word_count)) + u"\n"
output_file.write(time_window_info)
def __save_high_emotion_clips_to_file(self, high_emotion_clips, global_zscore_threshold,
left_zscore_threshold, right_zscore_threshould):
file_path = os.path.join(FileUtil.get_zscore_dir(), self.cid + "-high-emotion-clips.txt")
with codecs.open(file_path, "wb", "utf-8") as output_file:
output_file.write(unicode(str(global_zscore_threshold)) + u"\t" +
unicode(str(left_zscore_threshold)) + u"\t" +
unicode(str(right_zscore_threshould)) + u"\n")
for emotion_clip in high_emotion_clips:
str_info = u""
for item in emotion_clip:
str_info += (unicode(str(item)) + u"\t")
str_info = str_info[0: len(str_info) - 1] + u"\n"
output_file.write(str_info)
def __save_high_emotion_clips_to_file(self, high_emotion_clips,
global_zscore_threshold,
left_zscore_threshold,
right_zscore_threshould):
file_path = os.path.join(FileUtil.get_zscore_dir(),
self.cid + "-high-emotion-clips.txt")
with codecs.open(file_path, "wb", "utf-8") as output_file:
output_file.write(
unicode(str(global_zscore_threshold)) + u"\t" +
unicode(str(left_zscore_threshold)) + u"\t" +
unicode(str(right_zscore_threshould)) + u"\n")
for emotion_clip in high_emotion_clips:
str_info = u""
for item in emotion_clip:
str_info += (unicode(str(item)) + u"\t")
str_info = str_info[0:len(str_info) - 1] + u"\n"
output_file.write(str_info)
def load_high_emotion_clips_from_file(cls, cid):
file_path = os.path.join(FileUtil.get_zscore_dir(), cid + "-high-emotion-clips-lda.txt")
first_line_flag = True
high_emotion_clips = []
global_zscore_threshold = 0
left_zscore_threshold = 0
right_zscore_threshould = 0
with codecs.open(file_path, "rb", "utf-8") as input_file:
for line in input_file:
split_info = line.strip().split("\t")
if first_line_flag:
first_line_flag = False
global_zscore_threshold = split_info[0]
left_zscore_threshold = split_info[1]
right_zscore_threshould = split_info[2]
continue
high_emotion_clips.append(split_info)
return high_emotion_clips, global_zscore_threshold, left_zscore_threshold, right_zscore_threshould
def load_high_emotion_clips_from_file(cls, cid):
file_path = os.path.join(FileUtil.get_zscore_dir(),
cid + "-high-emotion-clips-lda.txt")
first_line_flag = True
high_emotion_clips = []
global_zscore_threshold = 0
left_zscore_threshold = 0
right_zscore_threshould = 0
with codecs.open(file_path, "rb", "utf-8") as input_file:
for line in input_file:
split_info = line.strip().split("\t")
if first_line_flag:
first_line_flag = False
global_zscore_threshold = split_info[0]
left_zscore_threshold = split_info[1]
right_zscore_threshould = split_info[2]
continue
high_emotion_clips.append(split_info)
return high_emotion_clips, global_zscore_threshold, left_zscore_threshold, right_zscore_threshould
left_zscore_threshold = 0
right_zscore_threshould = 0
with codecs.open(file_path, "rb", "utf-8") as input_file:
for line in input_file:
split_info = line.strip().split("\t")
if first_line_flag:
first_line_flag = False
global_zscore_threshold = split_info[0]
left_zscore_threshold = split_info[1]
right_zscore_threshould = split_info[2]
continue
high_emotion_clips.append(split_info)
return high_emotion_clips, global_zscore_threshold, left_zscore_threshold, right_zscore_threshould
if __name__ == "__main__":
zscore = Zscore(
"2171229",
os.path.join(FileUtil.get_zscore_dir(), "hd-zscore-result-lda.txt"),
30, 10, 4)
# zscore.gen_sorted_zscore_file(threshold_value=5)
# # zscore.gen_possible_high_emotion_clips()
high_emotion_clips = zscore.gen_possible_high_emotion_clips()
for emotion_clip in high_emotion_clips:
str_info = u""
for item in emotion_clip:
str_info += (unicode(str(item)) + u"\t")
str_info = str_info[0:len(str_info) - 1]
str_info += u"\n"
print str_info
first_line_flag = True
high_emotion_clips = []
global_zscore_threshold = 0
left_zscore_threshold = 0
right_zscore_threshould = 0
with codecs.open(file_path, "rb", "utf-8") as input_file:
for line in input_file:
split_info = line.strip().split("\t")
if first_line_flag:
first_line_flag = False
global_zscore_threshold = split_info[0]
left_zscore_threshold = split_info[1]
right_zscore_threshould = split_info[2]
continue
high_emotion_clips.append(split_info)
return high_emotion_clips, global_zscore_threshold, left_zscore_threshold, right_zscore_threshould
if __name__ == "__main__":
zscore = Zscore("2171229", os.path.join(FileUtil.get_zscore_dir(), "hd-zscore-result-lda.txt"), 30, 10, 4)
# zscore.gen_sorted_zscore_file(threshold_value=5)
# # zscore.gen_possible_high_emotion_clips()
high_emotion_clips = zscore.gen_possible_high_emotion_clips()
for emotion_clip in high_emotion_clips:
str_info = u""
for item in emotion_clip:
str_info += (unicode(str(item)) + u"\t")
str_info = str_info[0: len(str_info) - 1]
str_info += u"\n"
print str_info