IsWaterMark = xmlroot.find("wmark").text
if IsWaterMark == "True":
WaterMarkPath = xmlroot.find("wmarkpath").text
wmarkposition = str(xmlroot.find("wmarkposition").text)
LeftPixels = xmlroot.find("lpixels").text
UpPixels = xmlroot.find("upixels").text
IsWaterMark = True
else:
IsWaterMark = False
WaterMarkPath,LeftPixels,UpPixels = None,None,None
IsOverWrite = xmlroot.find("overwrite").text
MysqlObj = baseclass.interWithMysql(logger,VideoFileNameAlias)
if IsOverWrite == "True":
IsOverWrite = True
#预览图状态,1表示用默认图片,2表示用户有上传自定义的预览图
pstat = MysqlObj.getPicStatus()
else:
IsOverWrite = False
logger.info("video info : \n \
VideoFileNameAlias : %s \n \
VideoFilePath : %s \n \
OriginVideoFormat ： %s \n \
IsWaterMark : %s \n \
# --/
# Initialization stage
# --/
try:
logger.info("Start reducer.....")
#视频元数据
info_dict = pickle.load(open('video.info','r'))
#hadoop信息
hadoopinfo_dict = pickle.load(open('hadoop.info','r'))
#初始化mysql对象
MysqlObj = baseclass.interWithMysql(logger,info_dict['name'])
except Exception,e:
logger.error("reducer init exception: %s"%e)
MysqlObj.writeStatus("fail",info_dict['iswatermark'],info_dict['isoverwrite'],info="reducer init exception: %s"%e)
sys.exit()
#重新初始化日志对象和mysql对象
logger = baseclass.getlog(info_dict['name'],loglevel=info_dict['loglevel'])
MysqlObj = baseclass.interWithMysql(logger,info_dict['name'])
#初始化redis对象
RedisObj = baseclass.interWithRedis(logger,info_dict['name'])
# --/
# Execute commands stage
IsWaterMark = xmlroot.find("wmark").text
if IsWaterMark == "True":
WaterMarkPath = xmlroot.find("wmarkpath").text
wmarkposition = str(xmlroot.find("wmarkposition").text)
LeftPixels = xmlroot.find("lpixels").text
UpPixels = xmlroot.find("upixels").text
IsWaterMark = True
else:
IsWaterMark = False
WaterMarkPath, LeftPixels, UpPixels = None, None, None
IsOverWrite = xmlroot.find("overwrite").text
MysqlObj = baseclass.interWithMysql(logger, VideoFileNameAlias)
if IsOverWrite == "True":
IsOverWrite = True
#预览图状态,1表示用默认图片,2表示用户有上传自定义的预览图
pstat = MysqlObj.getPicStatus()
else:
IsOverWrite = False
logger.info("video info : \n \
VideoFileNameAlias : %s \n \
VideoFilePath : %s \n \
OriginVideoFormat ： %s \n \
IsWaterMark : %s \n \
# --/
# Initialization stage
# --/
try:
logger.info("Start reducer.....")
#视频元数据
info_dict = pickle.load(open('video.info', 'r'))
#hadoop信息
hadoopinfo_dict = pickle.load(open('hadoop.info', 'r'))
#初始化mysql对象
MysqlObj = baseclass.interWithMysql(logger, info_dict['name'])
except Exception, e:
logger.error("reducer init exception: %s" % e)
MysqlObj.writeStatus("fail",
info_dict['iswatermark'],
info_dict['isoverwrite'],
info="reducer init exception: %s" % e)
sys.exit()
#重新初始化日志对象和mysql对象
logger = baseclass.getlog(info_dict['name'],
loglevel=info_dict['loglevel'])
MysqlObj = baseclass.interWithMysql(logger, info_dict['name'])
#初始化redis对象
