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script.py
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script.py
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import pandas as pd
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from geopy.distance import geodesic
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import requests
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import subprocess
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import time
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from datetime import datetime
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import os
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cmd = 'nginx'
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os.system(cmd)
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while True:
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# Muuta seuraavat parametrit tarpeen mukaan
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LATITUDE = "61.4981"
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LONGITUDE = "23.7608"
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MAX_RESULTS = 8
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# Lataa maailman kaupunkien tietokanta
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world_cities = pd.read_csv('https://download.geonames.org/export/dump/cities15000.zip', sep='\t', header=None, encoding='utf-8', low_memory=False)
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world_cities.columns = ['geonameid', 'name', 'asciiname', 'alternatenames', 'latitude', 'longitude', 'feature_class', 'feature_code', 'country_code', 'cc2', 'admin1_code', 'admin2_code', 'admin3_code', 'admin4_code', 'population', 'elevation', 'dem', 'timezone', 'modification_date']
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# Laske etäisyys ja valitse lähimmät kaupungit
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world_cities['distance'] = world_cities.apply(lambda row: geodesic((LATITUDE, LONGITUDE), (row['latitude'], row['longitude'])).km, axis=1)
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nearest_cities = world_cities.nsmallest(MAX_RESULTS, 'distance')
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# Hae säätiedot wttr.in-sivustolta curl-komennolla
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weather_data_list = []
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cities_to_fetch = ["Death_valley", "London", "Sydney", "Oimjakon"]
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for city_name in cities_to_fetch:
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url = f"https://wttr.in/{city_name}?format=%l:+%c+%t+%h+%P+%w+%p+%S+%s"
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response = requests.get(url)
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weather_data = response.text.strip()
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weather_data_list.append(weather_data)
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#Kello
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current_time = datetime.now()
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formatted_time = current_time.strftime("%H:%M")
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# Tulosta lähimpien kaupunkien nimet ja säätiedot
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with open("/var/www/html/index_TEMP.html", "w") as f: # Avaa tiedosto kirjoitustilassa
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f.write('<meta charset="UTF-8">\n')
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f.write('<meta http-equiv="refresh" content="20">\n')
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f.write(f"<h3>Sää tiedot klo:{formatted_time}, {MAX_RESULTS} lähintä kaupunkia.</h3>\n")
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for index, city in nearest_cities.iterrows():
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if not pd.isnull(city['name']):
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url = f"https://wttr.in/{city['name']}?format=%l:+%c+%t+%h+%P+%w+%p+%S+%s"
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response = requests.get(url)
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weather_data = response.text.strip()
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city_name = city['name']
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f.write(f"<p>{weather_data}</p>") # Kirjoita tiedostoon säätiedot
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# Kirjoita muutaman kaupungin säätiedot tiedostoon
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f.write(f"<h3>Muutama kylmä ja kuuma kaupunki</h3>\n")
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for weather_data in weather_data_list:
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f.write(f"<p>{weather_data}</p>\n")
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# Siirrä temp-tiedosto lopulliseen tiedostoon
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cmd = 'mv /var/www/html/index_TEMP.html /var/www/html/index.html'
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os.system(cmd)
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time.sleep(60) # Odota 1 minuutti ennen seuraavaa hakuajoa
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