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import sys
import requests
import subprocess
from os.path import exists
from libs.decompressor import decompress_arima
subprocess.check_call([sys.executable, "-m", "pip", "install", "-r", "requirements.txt"])
def download(url, filename):
with open(filename, 'wb') as f:
response = requests.get(url, stream=True)
total = response.headers.get('content-length')
if total is None:
f.write(response.content)
else:
downloaded = 0
total = int(total)
for data in response.iter_content(chunk_size=max(int(total/1000), 1024*1024)):
downloaded += len(data)
f.write(data)
done = int(50*downloaded/total)
sys.stdout.write('\r[{}{}]'.format('█' * done, '.' * (50-done)))
sys.stdout.flush()
sys.stdout.write('\n')
# if not exists('arima.pkl'):
# if not exists('arima.compressed'):
# print('[*] Downloading arima.compressed')
# download("https://github.com/luciferreeves/Analyzing-Climate-Change-using-Earth-Surface-Temperature-Visualization/releases/download/large_files/arima.compressed", 'arima.compressed')
# print('[*] Decompressing arima.compressed')
# decompress_arima()
# if not exists('arima.pkl') and exists('arima.compressed'):
# print('[*] Decompressing arima.compressed')
# decompress_arima()
if not exists('database.db'):
print('[*] Downloading database.db')
download("https://github.com/luciferreeves/Analyzing-Climate-Change-using-Earth-Surface-Temperature-Visualization/releases/download/large_files/database.db", 'database.db')
if not exists('GlobalLandTemperaturesByCity.csv'):
print('[*] Downloading GlobalLandTemperaturesByCity.csv')
download("https://github.com/luciferreeves/Analyzing-Climate-Change-using-Earth-Surface-Temperature-Visualization/releases/download/large_files/GlobalLandTemperaturesByCity.csv", 'GlobalLandTemperaturesByCity.csv')
print('[*] Done! Please run `python3 app.py` to start the application.')
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