proactive strategy exp

controller_db.py

@@ -91,10 +91,10 @@ class ControllerDB:
         g_product_js = json.dumps(nx.adjacency_data(g_bom))
 
         # insert exp
-        df_xv = pd.read_csv("xv.csv", index_col=None)
+        df_xv = pd.read_csv("xv_without_exp.csv", index_col=None)
         # read the OA table
         df_oa = pd.read_csv("oa_without_exp.csv", index_col=None)
-        df_oa = df_oa.iloc[:, 0:9]
+        df_oa = df_oa.iloc[:, 0:10]
         for idx_scenario, row in df_oa.iterrows():
             dct_exp_para = {}
             for idx_col, para_level in enumerate(row):
@@ -115,7 +115,7 @@ class ControllerDB:
                          n_max_trial, crit_supplier, firm_pref_request,
                          firm_pref_accept, netw_pref_cust_n,
                          netw_pref_cust_size, cap_limit, diff_new_conn,
-                         diff_remove,):
+                         diff_remove, proactive_ratio):
         e = Experiment(
             idx_scenario=idx_scenario,
             idx_init_removal=idx_init_removal,
@@ -132,6 +132,7 @@ class ControllerDB:
             cap_limit=cap_limit,
             diff_new_conn=diff_new_conn,
             diff_remove=diff_remove,
+            proactive_ratio=proactive_ratio
         )
         db_session.add(e)
         db_session.commit()