change ffm process

config.py

-
-
 DIRECTORY_PATH = '/data2/models/'
 # 测试日期一定要大于验证日期，因为切割数据集的代码是这样设置的
 # VALIDATION_DATE = '2018-08-05'
@@ -13,5 +11,33 @@ MODEL_VERSION = ''
 lr = 0.03
 l2_lambda = 0.002
 
-# processData.py
-# diaryTraining.py
+#线上日记视频对应的ip
+ONLINE_EAGLE_HOST = '10.66.157.22'
+
+# 测试日记视频所在的ip
+LOCAL_EAGLE_HOST = "192.168.15.12"
+
+# 本地地址
+LOCAL_DIRCTORY = "/Users/mac/utils/"
+
+
+# # 线下pkl
+# "/Users/mac/utils/ffm.pkl"
+# #线下预测文件
+# "/Users/mac/utils/result/{0}.csv".format(queue_name)
+# # 线下模型、预测产出文件
+# "/Users/mac/utils/model.out",
+#                       "/Users/mac/utils/result/{0}_output.txt".format(queue_name)
+#
+# # 线下日记队列
+# host='rdsmaqevmuzj6jy.mysql.rds.aliyuncs.com', port=3306, user='work',
+#                          passwd='workwork', db='doris_test'
+# select native_queue from device_diary_queue where device_id = '{}' and city_id = '{}';".for
+# update device_diary_queue set {}='{}' where device_id = '{}' and city_id = '{}'".format\
+#         (queue_name,id_str,device_id, city_id)
+#
+# # 线下日记打分表
+# host='rdsmaqevmuzj6jy.mysql.rds.aliyuncs.com', port=3306, user='work',
+#                          passwd='workwork', db='zhengxing_test'
+# "select score,diary_id from biz_feed_diary_score where diary_id in {};".format(diary_list)
+

processData.py

@@ -68,8 +68,8 @@ def ffm_transform(data, test_number, validation_number):
     print("Start ffm transform")
     start = time.time()
     ffm_train = multiFFMFormatPandas()
-    # 服务器内存空闲的时候，可以下面的6改成8。6比较稳定，如果服务器内存占用较多的时候，用8可能因为分配不到内存，脚本挂掉。
-    data = ffm_train.fit_transform(data, y='y',n=50000,processes=6)
+    # 服务器内存空闲的时候，可以下面的4改成6。4比较稳定，如果服务器内存被其他程序占用较多的时候，用6可能因为分配不到内存，脚本挂掉。
+    data = ffm_train.fit_transform(data, y='y',n=50000,processes=4)
     with open(DIRECTORY_PATH+"train/ffm.pkl", "wb") as f:
         pickle.dump(ffm_train, f)
 

userProfile.py

@@ -7,18 +7,19 @@ import time
 
 
 # 获取当下一分钟内活跃用户
-def get_active_users():
+def get_active_users(flag):
     now = datetime.now()
     now_start = str(now)[:16] + ":00"
     now_end = str(now)[:16] + ":59"
     sql = "select device_id,city_id from user_active_time " \
           "where active_time <= '{}' and active_time >= '{}'".format(now_end,now_start)
-    df = con_sql(sql)
+    if flag:
+        df = con_sql(sql)
+    else:
+        pass
+        # df = 问一下亚男，如果没有，造表，造数据
     if df.empty:
         print("当下这一分钟没有活跃用户，不需要预测")
-        for eachFile in os.listdir("/tmp"):
-            if "xlearn" in eachFile:
-                os.remove("/tmp" + "/" + eachFile)
         time.sleep(56)
         return []
     else: