Python, inability to calculate the remaining number of days with Schedule correctly and to obtain a dataframe related to it

from time import sleep
import os
from bs4 import BeautifulSoup
import requests
from datetime import datetime
import schedule
import time
import pandas as pd
import undetected_chromedriver as uc
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

options = uc.ChromeOptions()
options.add_argument('--blink-settings=imagesEnabled=false') # disable images for loading of page faster
options.add_argument('--disable-notifications')
prefs = {"profile.default_content_setting_values.notifications" : 2}
options.add_experimental_option("prefs",prefs)
driver = uc.Chrome(options=options)
from math import ceil

tracking_days = 1
tracking_period = ['10:16','10:17','10:18']  # Add additional tracking times here
completed_days = 0
price_data = []
day_price_data = []  # Move day_price_data outside of track_product function

def get_price():
    try:
        price_element = WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.ID, 'offering-price')))
        price = float(price_element.find_element_by_xpath('./span[1]').text + '.' + price_element.find_element_by_xpath('./span[2]').text)
        return price
    except:
        return None

def get_time():
    return datetime.now()

def track_product():
    global current_price, day_price_data

    current_time = datetime.now()
    print(f"Time just before tracking_period: {current_time}")
    if current_time.strftime('%H:%M') in tracking_period:
        driver.get('https://www.hepsiburada.com/pinar-tam-yagli-sut-4x1-lt-pm-zypinar153100004')
        current_price = get_price()

        if current_price is not None:
            day_price_data.append([get_time(), current_price])

def job():
    global completed_days, day_price_data, price_data

    track_product()

    completed_days += 1

    if completed_days == tracking_days * len(tracking_period):
        remaining_days = 0
        print(f"Remaining days: {remaining_days}")
        print("Product tracking finished.")
    else:
        day_in_tracking_period = completed_days % len(tracking_period)

        completed_periods = completed_days // len(tracking_period)

        remaining_periods = (tracking_days - completed_periods) * len(tracking_period) - day_in_tracking_period

        remaining_days = ceil(remaining_periods / len(tracking_period))

        print(f"Waiting for the next tracking period... Remaining days: {remaining_days}")

    if day_in_tracking_period == 0:
        day_price_df = pd.DataFrame(day_price_data, columns=['date', 'price'])
        day_price_df['date'] = pd.to_datetime(day_price_df['date'])
        price_data.append(day_price_df)
        day_price_data = []

for time_str in tracking_period:
    if ':' in time_str:
        hour, minute = time_str.split(':')
    else:
        hour, minute = time_str, '00'
    print("time_str:", time_str)
    schedule.every().day.at(f"{hour}:{minute}").do(job)

print("Schedule started...")
while completed_days < tracking_days * len(tracking_period):
    if datetime.now().strftime('%H:%M') >= tracking_period[-1]:
        print("Product tracking finished for today.")
        break
    schedule.run_pending()
    time.sleep(1)

Hello friends, I am trying to create a generic piece of code that will get a price for a product on an e-commerce site and collect it in a data frame called price_data on the desired days and hours. However, I cannot collect the prices in the price_data data frame because I cannot calculate the number of days remaining in the program correctly. I just want the program to run so that the tracking_period consists of 3 fixed hours ([‘hour1:min1,’hour2:min2′,’hour3:min3’]) so that the code is not too complicated. So the program will only get the price in the given 3 hours and this will not change. The only parameter that can change will be the number of days. For example: tracking_days = 1/2/10/365 etc. But even if the tracking_days changes, it should be able to calculate the remaining days correctly and collect the prices correctly in price_data.
How can I get an accurate result like the image below? (Correct Result)

Incorrect and Correct Results For tracking days=1 as compared:

Correct results I would expect if tracking days=2: