Update auto reply strategy: use ros for layer1 score

alg_growth_3rd_gh_reply_video_v1.py

@@ -332,7 +332,7 @@ def rank_for_layer1(run_dt, run_hour, project, table):
     np.random.seed(int(dt_version) + 1)
 
     # TODO: 修改权重计算策略
-    df['score'] = df['rov']
+    df['score'] = df['ros']
 
     sampled_df = df.sample(n=SEND_N, weights=df['score'])
     sampled_df['sort'] = range(1, len(sampled_df) + 1)

alg_growth_gh_reply_video_v1.py

@@ -95,7 +95,7 @@ def rank_for_layer1(run_dt, run_hour, project, table):
     np.random.seed(int(dt_version)+1)
 
     # TODO: 修改权重计算策略
-    df['score'] = df['rov']
+    df['score'] = df['ros']
 
     sampled_df = df.sample(n=SEND_N, weights=df['score'])
     sampled_df['sort'] = range(1, len(sampled_df) + 1)

alg_growth_we_com_reply_video_v1.py

@@ -97,7 +97,7 @@ def rank_for_layer1(run_dt, run_hour, project, table):
     np.random.seed(int(dt_version) + 1)
 
     # TODO: 修改权重计算策略
-    df['score'] = df['rov']
+    df['score'] = df['ros']
 
     sampled_df = df.sample(n=SEND_N, weights=df['score'])
     sampled_df['sort'] = range(1, len(sampled_df) + 1)