Add env data to MM

main.py

@@ -27,8 +27,9 @@ class Matchmaking:
     :param max_diff: Maximum difference considered between two models' elo
     :param matches: Dictionary containing the match history (to later upload as CSV)
     """
-    def __init__(self, models):
+    def __init__(self, models, env):
         self.models = models
+        self.env = env
         self.queue = self.models.copy()
         self.k = 20
         self.max_diff = 500
@@ -95,7 +96,7 @@ class Matchmaking:
             df = pd.concat([df, pd.DataFrame([[model.name, model.elo]], columns=['name', 'elo'])])
         df.to_csv('elo.csv', index=False)
         df_matches = pd.DataFrame(self.matches)
-        df_matches.to_csv(f"matches/{datetime.now().strftime('%Y-%m-%d_%H-%M-%S_%f')}.csv", index=False)
+        df_matches.to_csv(f"matches/{self.env}__{datetime.now().strftime('%Y-%m-%d_%H-%M-%S_%f')}.csv", index=False)
 
 
 def match(model1, model2) -> float: