Fix model duplication

background_task.py

@@ -120,6 +120,8 @@ class Matchmaking:
         :param n: Number of close models from which to pick a candidate
         :return: id of the chosen candidate
         """
+        if len(self.queue) == 1:
+            return 0
         indexes = []
         closest_diffs = [9999999] * n
         for i, m in enumerate(self.queue):
@@ -174,15 +176,15 @@ def get_models_list() -> list:
     :return: list of Model objects
     """
     models = []
-    models_names = []
+    models_ids = []
     data = pd.read_csv(os.path.join(DATASET_REPO_URL, "resolve", "main", ELO_FILENAME))
     models_on_hub = api.list_models(filter=["reinforcement-learning", "ml-agents", "ML-Agents-SoccerTwos"])
     for i, row in data.iterrows():
         models.append(Model(row["author"], row["model"], row["elo"], row["games_played"]))
-        models_names.append(row["model"])
+        models_ids.append(row["author"] + "/" + row["model"])
     for model in models_on_hub:
         author, name = model.modelId.split("/")[0], model.modelId.split("/")[1]
-        if model.modelId not in models_names:
+        if model.modelId not in models_ids:
             models.append(Model(author, name))
             print("New model found: ", author, "-", name)
     return models