починил play_by_play для офлайн матча

get_data.py

@@ -1433,9 +1433,9 @@ async def started_team2(sort_by: str = None):
     return maybe_clear_for_vmix(players)
 
 
-@app.get("/game")
+@app.get("/latest_data")
 async def game():
-    return latest_data["game"]
+    return latest_data
 
 
 @app.get("/status")
@@ -2773,7 +2773,6 @@ async def play_by_play():
     team1_name = data["team1"]["name"]
     team2_name = data["team2"]["name"]
 
-    json_live_status = latest_data["live-status"]["data"]
 
     team1_startnum = [
         i["startNum"]
@@ -2798,13 +2797,12 @@ async def play_by_play():
 
     df_data_pbp = pd.DataFrame(data_pbp[::-1])
     last_event = data_pbp[-1]
-
     if "play" not in df_data_pbp:
         return maybe_clear_for_vmix([])
     
-    if json_live_status["status"] != "Not Found":
-        json_quarter = json_live_status["result"]["period"]
-        json_second = json_live_status["result"]["second"]
+    if "live-status" in latest_data and latest_data["live-status"]["data"] != "Not Found":
+        json_quarter = latest_data["live-status"]["data"]["result"]["period"]
+        json_second = latest_data["live-status"]["data"]["result"]["second"]
     else:
         json_quarter = last_event["period"]
         json_second = 0
@@ -2896,12 +2894,14 @@ async def play_by_play():
 
     # если хочешь вообще никаких NaN во всём JSON — можно так:
     # df_goals = df_goals.fillna("")
-
+    # print(payload)
     payload = df_goals.to_dict(orient="records")
     return maybe_clear_for_vmix(payload)
 
 
-
+@app.get("/vmix")
+async def vmix_project():
+    pass
 
 
 if __name__ == "__main__":