def batch_export_upload(full_dir):
global upload_md5_pic_position
upload_md5_pic_position = 0
global index
start_time = int(time.time())
config = MonitorConfig()
sleeptime = 3 * 60
value = config.get_value('appiumConfig', 'batch_pic_seconds')
if value:
sleeptime = int(value)
Logger.println(
f"【====================开始批量导出并上传图片batch_pic_seconds={sleeptime}=======================】")
while True:
time.sleep(5)
time_start_time = int(time.time()) - start_time
if sleeptime - time_start_time > 0:
Logger.println(
f"=================【{sleeptime - time_start_time}秒后执行第={index}个批量导出并上传图片任务===================】")
if time_start_time >= sleeptime:
index = index + 1
break
time.sleep(5)
PicClassfyUtil.classify_from(full_dir)
excel_full_dir = FilePathUtil.get_lastmodify_file(
FilePathUtil.get_full_dir("wxfriend", "excel", "pic"))
main(excel_full_dir)
if wx_stop.stopFlag:
Logger.println(f"【===================批量导出并上传图片任务停止=================】")
return
batch_export_upload(full_dir)
def __init__(self):
"""
初始化
"""
# 驱动配置
super().__init__()
self.md5_contents = []
self.today_md5_contents = []
full_dir = FilePathUtil.get_lastmodify_file(
FilePathUtil.get_full_dir("wxfriend", "excel", "pic"))
array = excel_util.excel2array(full_dir)
if array:
for item in array:
self.today_md5_contents.append(item['content_md5'])
def classify_from(source_full):
# 2.excel获取朋友圈所有说说的md5以及图片的保存起始时间值
full_dir = FilePathUtil.get_lastmodify_file(
FilePathUtil.get_full_dir("wxfriend", "excel", "pic"))
Logger.println(f"【().full_dir={full_dir}】")
array = excel_util.excel2array(full_dir)
count = 0
for index, item in enumerate(array):
content_md5 = item['content_md5']
start = int(item['start'])
end = int(item['end'])
count = int(item['count'])
if count > 0:
# Logger.println(f"【classify().item={item}】")
# 3.根据起始时间值以及md5值分类好图片
des_dir = FilePathUtil.get_full_dir('wxfriend', 'pic',
'WeiXinCopy', content_md5)
files = FilePathUtil.move_files_by_time(source_full, des_dir,
start, end)
value = config.get_value('appiumConfig', 'batch_pic_seconds')
if value:
sleeptime = int(value)
Logger.println(
f"【====================开始批量导出并上传图片batch_pic_seconds={sleeptime}=======================】")
while True:
time.sleep(5)
time_start_time = int(time.time()) - start_time
if sleeptime - time_start_time > 0:
Logger.println(
f"=================【{sleeptime - time_start_time}秒后执行第={index}个批量导出并上传图片任务===================】")
if time_start_time >= sleeptime:
index = index + 1
break
time.sleep(5)
PicClassfyUtil.classify_from(full_dir)
excel_full_dir = FilePathUtil.get_lastmodify_file(
FilePathUtil.get_full_dir("wxfriend", "excel", "pic"))
main(excel_full_dir)
if wx_stop.stopFlag:
Logger.println(f"【===================批量导出并上传图片任务停止=================】")
return
batch_export_upload(full_dir)
if __name__ == '__main__':
full_dir = FilePathUtil.get_lastmodify_file(
FilePathUtil.get_full_dir("wxfriend", "excel", "pic"))
batch_export_upload(full_dir)
# main(full_dir)
def main():
export()
full_dir = FilePathUtil.get_lastmodify_file(
FilePathUtil.get_full_dir("wxfriend", "excel", "pic"))
classify(full_dir)
def upload():
full_dir = FilePathUtil.get_lastmodify_file(
FilePathUtil.get_full_dir("dist"))
token = files_token()
filepath = upload_file(token[0], full_dir)
print(f"【().filepath={filepath}】")
