:tube: Add some test

test.py

@@ -135,7 +135,7 @@ def list_fighters(df, limit_date):
     return fighters
 
 # Last year when data fight was not full and correct
-fighters = list_fighters(df,'2016-01-01')
+fighters = list_fighters(df,'2015-01-01')
 
 def build_df(df, fighters, i):      
     arr = [select_fight_row(df, fighters[f], i) for f in range(len(fighters)) if select_fight_row(df, fighters[f], i) is not None]
@@ -145,11 +145,26 @@ def build_df(df, fighters, i):
     df_fights['title_bout'] = df_fights['title_bout'].map({True: 1, False: 0})
     df_fights.drop(['R_fighter', 'B_fighter', 'date'], axis=1, inplace=True)
     return df_fights
+    
+def build_df_all_but_last(df, fighters):    
+    
+    cols = [col for col in df] 
+    df_fights=pd.DataFrame(columns=cols)
+    for f in range(len(fighters)):
+        for i in range(10000):
+            fight_row = select_fight_row(df, fighters[f], i)
+            if fight_row is None:
+                break
+            fight_row = list(fight_row) 
+            dfTemp = pd.DataFrame(data=[fight_row], columns=cols)
+            df_fights = df_fights._append(dfTemp, ignore_index=True)
+    df_fights.drop_duplicates(inplace=True)
+    df_fights['title_bout'] = df_fights['title_bout'].map({True: 1, False: 0})
+    df_fights.drop(['R_fighter', 'B_fighter', 'date'], axis=1, inplace=True)
+    return df_fights
 
-df_train = build_df(df, fighters, 0)
+df_train = build_df_all_but_last(df, fighters)
-df_test = build_df(df, fighters, 1)
+df_test = build_df(df, fighters,-1)
-
-# print(df_train.head(5))
 
 preprocessor = make_column_transformer((OrdinalEncoder(), ['weight_class', 'B_Stance', 'R_Stance']), remainder='passthrough')