Inside cloud functions I have this functions (entry point)

def hello_http(request):

Inside that function I have all this code
What this does Is to download spreadsheet of prices like btc_usd and then put this data frame on mysql google data base

To call this function I use http
And then on Cloud scheduler I pasted the url using POST method

import pandas as pd
import requests
import sqlalchemy
import mysql.connector
import pandas as pd
import numpy as np 
import requests




class BitsoAPI:
    def __init__(self, api_key, api_secret):
        self.api_key = api_key
        self.api_secret = api_secret
        self.base_url = "https://api.bitso.com/v3/"
    
    def get_daily_prices(self, book="btc_usd"):
        response = requests.get('https://api.bitso.com/v3/trades/?book='+book)
        json_response = response.json()
        datos = json_response['payload']
        df = pd.DataFrame(datos)
        df['fecha'] = pd.to_datetime(df['created_at'],utc=True, format='ISO8601')
        del df['created_at']
        return df 
    
    def get_books(self):
        '''Returns a list with names of avaiable books for book parameter from
        get daily prices function'''
        response = requests.get(self.base_url + 'available_books/')
        json_response = response.json()
        books = [book['book'] for book in json_response['payload']]
        return books  




def store_data_in_sql(df, table_name='ok'):
    # Establish connection to MySQL database
    connection = mysql.connector.connect(
        host=db_host,
        user=db_user,
        password=db_password,
        database=db_name
    )

    # Create MySQL cursor
    cursor = connection.cursor()

    # Insert the DataFrame into the MySQL table
    df.to_sql(table_name, con=engine, if_exists='append', index=False)

    # Commit changes and close connection
    connection.commit()
    connection.close()




for book in books: 
    bitso_api = BitsoAPI(api_key, api_secret)
    df = bitso_api.get_daily_prices(book=book)
    store_data_in_sql(df,table_name=book)

But then I got ‘Failed’ everytime I run it on Scheduler, even tho I could created the function on Cloud Functions