DataSource.py

import random
import requests
import json

from Processing.BrightnessCalculator import BrightnessCalculator
from Processing.MoonHandler import MoonHandler
from Config.config import LIGHT_POLLUTION_KEY as key_lp
from datetime import datetime

class DataSource:

    def __init__(self):
        self.noform_time = datetime.now()
        self.time = self.noform_time.strftime("%Y-%m-%d %H:%M:%S")
        """response = requests.request("GET", "https://weather.visualcrossing.com/VisualCrossingWebServices/rest/services/timeline/33.53210%2C%20-5.10950?unitGroup=us&key=LTBR7C4K8HRYT7Z2C23FGVYFL&contentType=json")
        if response.status_code!=200:
            print('Problem in data request, see Data Source: ', response.status_code)
            sys.exit() """ 
        with open('data.json', 'r') as file:
            self.data = json.load(file) # to reduce api calls, we are just testing





    def get_light_pollution(self, coordinate):
        lat, long = coordinate
        url = "https://www.lightpollutionmap.info/QueryRaster/"
        query_params = {
            "key": key_lp,  
            "ql": "wa_2015",      
            "qt": "point",       
            "qd": f"{long},{lat}" 
        }
        try:
            response = requests.get(url, params=query_params)
            response.raise_for_status()  
            if(response.text == "Daily quota exceeded"):
                print("Daily quota exceeded, no light pollution data ;(")
                exit(1)
            return BrightnessCalculator(response.text).compute_brightness_data()
        except requests.RequestException as e:
            print(f"Error fetching light pollution data: {e}")
            return None

    def get_clouds(self, coordinate):
        return self.data['days'][0]['cloudcover']

    def get_moon_brightness(self):
        return  random.uniform(0, 100)

    def get_elevation(self, coordinate):
        return random.uniform(0, 5000)

    def get_visibility(self, coordinate):
        return self.data['days'][0]['visibility']

    def get_wind(self, coordinate):
        return self.data['days'][0]['windspeed']

    def get_distance(self, coordinate):
        return random.uniform(0, 500)

if __name__ == "__main__":
    ds = DataSource()
    print(ds.get_light_pollution((33.53210, -5.10950)))