app.py

import firebase_admin
# from firebase_admin import credentials
# from firebase_admin import firestore
from firebase_admin import credentials, initialize_app, storage
import io
from fastapi import FastAPI, File, UploadFile
from werkzeug.utils import secure_filename
# import speech_recognition as sr
import subprocess
import os
import requests
import random
# import pandas as pd
from pydub import AudioSegment
from datetime import datetime
from datetime import date
# import numpy as np
# from sklearn.ensemble import RandomForestRegressor
import shutil
import json
# from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
from pydantic import BaseModel
# from typing import Annotated
# from transformers import BertTokenizerFast, EncoderDecoderModel
# import torch
import re
# from transformers import AutoTokenizer, T5ForConditionalGeneration
from fastapi import Form
# from transformers import AutoModelForSequenceClassification
# from transformers import TFAutoModelForSequenceClassification
# from transformers import AutoTokenizer, AutoConfig
import numpy as np
import io
import requests
import time
import json
import asyncio
import time
from pymongo.mongo_client import MongoClient
import threading

   


from fastapi import FastAPI, Request, Depends, UploadFile, File
from fastapi.exceptions import HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse


# now = datetime.now()


# UPLOAD_FOLDER = '/files'
# ALLOWED_EXTENSIONS = {'txt', 'pdf', 'png',
#                       'jpg', 'jpeg', 'gif', 'ogg', 'mp3', 'wav'}


app = FastAPI()

app.add_middleware(
    CORSMiddleware,
    allow_origins=['*'],
    allow_credentials=True,
    allow_methods=['*'],
    allow_headers=['*'],
)


# cred = credentials.Certificate('key.json')
# app1 = firebase_admin.initialize_app(cred)
# db = firestore.client()
# data_frame = pd.read_csv('data.csv')

c=0

@app.on_event("startup")
async def startup_event():
    print("on startup")
    t = threading.Thread(target=do_ping)  # Pass parameters to func2
    t.start()
    t1 = threading.Thread(target=do_delete)  # Pass parameters to func2
    t1.start()

   


@app.get("/")
async def get_answer( ):

    url = 'https://open-ai-ping-eight.vercel.app/'
    
    
    
    
    return "ping"


    
def do_delete():
    url = 'https://audiospace-1-u9912847.deta.app/delete'

    while True:
        try:

            print("inside delete ping ")
            x = requests.get(url,timeout=19, verify=False)
            print(x.text)
            time.sleep(1800)
        except:
            continue
    
def do_ping():
    # url = 'https://open-ai-ping-eight.vercel.app/'
    # url1 = 'https://open-ai-ping-eight.vercel.app/1'
    # url2 = 'https://open-ai-ping-eight.vercel.app/2'
    urls= ['https://ping_deta-1-a5162851.deta.app/',
          'https://ping_deta-1-a5162851.deta.app/1',
          'https://ping_deta-1-a5162851.deta.app/11',
          'https://ping_deta-1-a5162851.deta.app/2',
          'https://ping_deta-1-a5162851.deta.app/3',
          'https://ping_deta-1-a5162851.deta.app/4']

    while True:
        try:

            print("inside ping ")
            for url in urls:
                try:
                    x=requests.get(url, timeout=20, verify=False)
                    print(x.text)
                except Exception as e:
                    print(e)
                    pass
            
            time.sleep(60)
            print("ping done")
        except:
            continue