import os
import  requests
from dotenv import load_dotenv
from torch.utils.throughput_benchmark import format_time

from helpers import *
import time
import pyautogui

load_dotenv()

TOKEN = os.getenv("TOKEN")
METHOD_NAME = "getUpdates"
url = f"https://tapi.bale.ai/bot{TOKEN}/{METHOD_NAME}"

response = requests.get(url)
# print(response.json())
# save_json_file("getupdate",response.json())
list_messages = response.json()["result"]
last_message = int(list_messages[-1]["update_id"])
print(last_message)
hadi = True
while hadi:
    res = requests.get(url).json()
    last = int(res.get("result")[-1]["update_id"])
    print(last)
    if  last > last_message:
        text_call = res.get("result")[-1]["message"]["text"]
        if text_call == "ping":
            ur = f"https://tapi.bale.ai/bot{TOKEN}/sendMessage"
            data = {"chat_id": 2124461972, "text": "hello hadi"}
            last_message = last
            hadi = requests.post(ur, data).text
            print(hadi)
            continue
        print("new message for call")
        print(text_call)
        try:
            format_t = int(text_call) * 60
            print(format_t)
            time.sleep(format_t)
            pyautogui.click(968, 907)
            time.sleep(1)
            pyautogui.click(968, 907)
            last_message = last
        except:
            time.sleep(10)
            pyautogui.click(968, 907)
            time.sleep(1)
            pyautogui.click(968, 907)
            last_message = last

    time.sleep(5)