weathergilgit.py

import requests
from bs4 import BeautifulSoup
from datetime import datetime

def scrape_dataGilgit(url):
    response = requests.get(url)
    htmlContent = response.content

    soup = BeautifulSoup(htmlContent, 'html.parser')

    gilgit_div = soup.find('div', class_='tab-temp')

    gilgitLow = gilgit_div.find('span', class_='tab-temp-low')['data-value']

    tr_element = soup.find('tr', class_='step-temp')

    gilgitHigh = tr_element.find('td', headers='d0Temp').div.get_text(strip=True) if tr_element and tr_element.find('td', headers='d0Temp') and tr_element.find('td', headers='d0Temp').div else None

    gilgitHigh = gilgitHigh.replace('°', '')

    gilgitHigh = int(gilgitHigh)
    
    gilgitLow = int(float(gilgitLow))

    today_date = datetime.now().date()

    span_id = f"tabSummaryText{today_date.strftime('%Y-%m-%d')}" 

    span_element = soup.find('div', id=span_id)

    data_inside_span = span_element.get_text(strip=True) if span_element and span_element.div else None

    return {
        'gilgit High Temperature': f"{gilgitHigh}°C",
        'gilgit Low Temperature': f"{gilgitLow}°C",
        'Today\'s Day': today_date.strftime('%d'),
        'Data Inside Span': data_inside_span
    }

def precipitationGilgit(url):
    response = requests.get(url)
    htmlContent = response.content

    soup = BeautifulSoup(htmlContent, 'html.parser')

    tr_element = soup.find('tr', class_='step-pop')

    rain = tr_element.find('td', headers='d0PoP').get_text(strip=True) if tr_element and tr_element.find('td', headers='d0PoP') else None

    return rain

today_date = datetime.now().date()

day_of_month = today_date.strftime('%d')

url = f"https://www.metoffice.gov.uk/weather/forecast/twku77j3n#?date={today_date.strftime('%Y-%m-%d')}"

scraped_data = scrape_dataGilgit(url)

rain = precipitationGilgit(url)

gilgitHigh = scraped_data['gilgit High Temperature']
gilgitLow = scraped_data['gilgit Low Temperature']
condition = scraped_data['Data Inside Span']