#coding utf-8
from db_helper import RedisHelper
from config import set_config
from utils import request_post_data
import json
from log import Log
log_ = Log()
config_ = set_config()
def get_featurs(data, size, top_K, flow_pool_P, env_dict=None):
recall_list = []
vidKeys = []
feature_dict = {}
# defult value
apptype = 0
pagesource = "iLife-pages/user-videos-share-recommend"
versioncode = 580
machineinfo_brand="HUAWEI"
recommendsource = "0"
machineinfo_platform = 'android'
sencetype = 100078
mid = 'test1'
machineinfo_model ='M2006C3LC'
if env_dict:
apptype = env_dict.get('app_type','')
pagesource = env_dict.get('pagesource', '')
versioncode = env_dict.get('versioncode', '')
machineinfo_brand = env_dict.get('machineinfo_brand', '')
machineinfo_model = env_dict.get('machineinfo_model', '')
recommendsource = env_dict.get('recommendsource', '')
machineinfo_platform = env_dict.get('machineinfo_platform', '')
sencetype = env_dict.get('sencetype', '')
redisObj = RedisHelper()
pre_str = "v_ctr:"
mid_list = []
videoid_list = []
apptype_list = []
pagesource_list = []
versioncode_list = []
machineinfo_brand_list = []
machineinfo_model_list = []
recommendsource_list = []
machineinfo_platform_list = []
sencetype_list = []
day_rov_list = []
day_share_return_score_list = []
day_share_score_list = []
day_return_rate_list = []
day_ctr_score_list = []
day_play_pv_list = []
day_play_users_list = []
day_return_users_list = []
day_share_pv_list = []
day_view_pv_list = []
day_view_users_list = []
day_share_users = []
for recall_item in data['rov_pool_recall']:
if len(recall_item)<=0:
continue
vid = recall_item.get("videoId",0)
mid_list.append(mid)
videoid_list.append(vid)
apptype_list.append(apptype)
pagesource_list.append(pagesource)
versioncode_list.append(versioncode)
machineinfo_brand_list.append(machineinfo_brand)
machineinfo_model_list.append(machineinfo_model)
recommendsource_list.append(recommendsource)
machineinfo_platform_list.append(machineinfo_platform)
sencetype_list.append(sencetype)
vidKeys.append(pre_str + str(vid))
recall_list.append(recall_item)
video_static_info = redisObj.get_batch_key(vidKeys)
print("video_static_info:",video_static_info)
if video_static_info:
for i in range(len(video_static_info)):
try:
# print(video_scores[i])
vid = vidKeys[i].replace(pre_str,"")
if video_static_info[i] :
per_video_staic = json.loads(video_static_info[i])
day_rov_list.append(per_video_staic[0])
day_share_return_score_list.append(per_video_staic[1])
day_share_score_list.append(per_video_staic[2])
day_return_rate_list.append(per_video_staic[3])
day_ctr_score_list.append(per_video_staic[4])
day_view_users_list.append(per_video_staic[5])
day_view_pv_list.append(per_video_staic[6])
day_play_users_list.append(per_video_staic[7])
day_play_pv_list.append(per_video_staic[8])
day_share_users.append(per_video_staic[9])
day_share_pv_list.append(per_video_staic[10])
day_return_users_list.append(per_video_staic[11])
else:
insert_static_default_fea(day_ctr_score_list, day_play_pv_list, day_play_users_list,
day_return_rate_list, day_return_users_list, day_rov_list,
day_share_pv_list, day_share_return_score_list, day_share_score_list,
day_share_users, day_view_pv_list, day_view_users_list)
except Exception:
insert_static_default_fea(day_ctr_score_list, day_play_pv_list, day_play_users_list,
day_return_rate_list, day_return_users_list, day_rov_list,
day_share_pv_list, day_share_return_score_list, day_share_score_list,
day_share_users, day_view_pv_list, day_view_users_list)
else:
for i in range(len(recall_list)):
insert_static_default_fea(day_ctr_score_list, day_play_pv_list, day_play_users_list,
day_return_rate_list, day_return_users_list, day_rov_list,
day_share_pv_list, day_share_return_score_list, day_share_score_list,
day_share_users, day_view_pv_list, day_view_users_list)
feature_dict["mid_list"] = mid_list
feature_dict["videoid_list"] = videoid_list
feature_dict["apptype_list"] = apptype_list
feature_dict["pagesource_list"] = pagesource_list
feature_dict["versioncode_list"] = versioncode_list
feature_dict["machineinfo_brand_list"] = machineinfo_brand_list
feature_dict["machineinfo_model_list"] = machineinfo_model_list
feature_dict["recommendsource_list"] = recommendsource_list
feature_dict["machineinfo_model_list"] = machineinfo_model_list
feature_dict["machineinfo_platform_list"] = machineinfo_platform_list
feature_dict["sencetype_list"] = sencetype_list
feature_dict["day_rov_list"] = day_rov_list
feature_dict["day_share_return_score_list"] = day_share_return_score_list
feature_dict["day_share_score_list"] = day_share_score_list
feature_dict["day_return_rate_list"] = day_return_rate_list
feature_dict["day_ctr_score_list"] = day_ctr_score_list
feature_dict["day_ctr_score_list"] = day_ctr_score_list
feature_dict["day_play_pv_list"] = day_play_pv_list
feature_dict["day_play_users_list"] = day_play_users_list
feature_dict["day_return_users_list"] = day_return_users_list
feature_dict["day_share_pv_list"] = day_share_pv_list
feature_dict["day_view_pv_list"] = day_view_pv_list
feature_dict["day_view_users_list"] = day_view_users_list
feature_dict["day_share_users_list"] = day_share_users
return feature_dict, recall_list
def insert_static_default_fea(day_ctr_score_list, day_play_pv_list, day_play_users_list, day_return_rate_list,
day_return_users_list, day_rov_list, day_share_pv_list, day_share_return_score_list,
day_share_score_list, day_share_users, day_view_pv_list, day_view_users_list):
day_rov_list.append(0.0)
day_share_return_score_list.append(0.0)
day_share_score_list.append(0.0)
day_return_rate_list.append(0.0)
day_ctr_score_list.append(0.0)
day_view_users_list.append(0)
day_view_pv_list.append(0)
day_play_users_list.append(0)
day_play_pv_list.append(0)
day_share_users.append(0)
day_share_pv_list.append(0)
day_return_users_list.append(0)
def get_tf_serving_sores(feature_dict):
#for k, v in feature_dict:
inputs_data = {
"mid": feature_dict["mid_list"],
"videoid": feature_dict["videoid_list"],
"apptype": feature_dict["apptype_list"],
"pagesource": feature_dict["pagesource_list"],
"versioncode": feature_dict["versioncode_list"],
"machineinfo_brand": feature_dict["machineinfo_brand_list"],
"machineinfo_model": feature_dict["machineinfo_model_list"],
"recommendsource": feature_dict["recommendsource_list"],
"machineinfo_platform": feature_dict["machineinfo_platform_list"],
"sencetype": feature_dict["sencetype_list"],
"day_rov": feature_dict["day_rov_list"],
"day_share_return_score": feature_dict["day_share_return_score_list"],
"day_share_score": feature_dict["day_share_score_list"],
"day_return_rate": feature_dict["day_return_rate_list"],
"day_ctr_score": feature_dict["day_ctr_score_list"],
"day_play_pv": feature_dict["day_play_pv_list"],
"day_play_users": feature_dict["day_play_users_list"],
"day_share_pv": feature_dict["day_share_pv_list"],
"day_return_users": feature_dict["day_return_users_list"],
"day_share_users": feature_dict["day_share_users_list"],
"day_view_pv": feature_dict["day_view_pv_list"],
"day_view_users":feature_dict["day_view_users_list"]
}
request_data_dict= {}
request_data_dict["inputs"] = inputs_data
#print(request_data_dict)
request_data= json.dumps(request_data_dict)
#print(request_data)
# 调用http接口
result = request_post_data(config_.TF_SERVING_URL,request_data, timeout=(0.1, 1))
# print("result:", result)
if result is None:
print("result is None")
log_.info('call tf serving error，types: {}')
return []
print(result)
return result