83 lines
3.8 KiB
Python
83 lines
3.8 KiB
Python
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import json
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import urllib
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import re
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import datetime
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class WeatherApi:
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def __init__(self):
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self.weather_api_url = "https://api.weatherapi.com/v1"
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self.api_key_filename = "./weather_api_key.txt"
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read_api_key()
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def read_api_key(self):
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with open(self.api_key_filename) as fp:
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self.api_key = fp.read()
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def get_current_conditions(self, units='metric'):
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# URL for current conditions
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current_url = f"{self.weather_api_url}/current.json?key={self.api_key}&q={location}&qai=no"
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# Make the request and get the results
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current_request = urllib.request.urlopen(current_url)
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current_data = current_request.read()
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current_json = json.loads(current_data.decode('utf-8'))
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# Different formats for different units
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current_output_format = {}
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current_output_format['metric'] = f"{location['name']}, {location['region']}, {location['country']} | {current['temp_c']}°C | {current['humidity']}% | {current['condition']['text']} | {current['wind_dir']} {current['wind_degree']}° {current['wind_kph']} kph"
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current_output_format['imperial'] = f"{location['name']}, {location['region']}, {location['country']} | {current['temp_f']}°F | {current['humidity']}% | {current['condition']['text']} | {current['wind_dir']} {current['wind_degree']}° {current['wind_mph']} mph"
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return current_output_format[units]
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def get_user_preferences(self, nick):
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# Read SQLite DB for default location and units for the nick provided
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def set_user_preferences(self, nick, location=None, units='metric'):
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# Set the default location and units for the nick in a SQLite DB
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def get_forecast(self, days=4, units='metric'):
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# URL for current conditions
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forecast_url = f"{self.weather_api_url}/forecast.json?key={self.api_key}&q={location}&days={days}&qai=no"
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# Make the request and get the results
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forecast_request = urllib.request.urlopen(forecast_url)
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forecast_data = forecast_request.read()
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forecast_json = json.loads(forecast_data.decode('utf-8'))
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location = forecast_json['location']
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forecast = forecast_json['forecast']['forecastday']
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# Find the highest and lowest temperature over each 24 hour period
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forecast_temps = []
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for day in forecast_json['forecast']['forecastday']:
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# Set the initial high and low values to absurd values
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daily_temp_range = {
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'day': day['date'],
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'high': 10000.0,
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'low': -10000.0,
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'conditions': ''
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}}
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for hour in day['hour']:
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temp = day['hour']['temp_c'] if units == 'metric' else day['hour']['temp_f']
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if temp > daily_temp_range['high']:
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daily_temp_range['high'] = temp
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# We only want the conditions for when the temp is the highest
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daily_temp_range['conditions'] = hour['condition']['text']
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if temp < daily_temp_range['low']:
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daily_temp_range['low'] = temp
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# Different formats for different units
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forecast_output_format = {}
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forecast_output_format['metric'] = f"{location['name']}, {location['region']}, {location['country']} | {current['temp_c']}°C | {current['humidity']}% | {current['condition']['text']} | {current['wind_dir']} {current['wind_degree']}° {current['wind_kph']} kph"
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forecast_output_format['imperial'] = f"{location['name']}, {location['region']}, {location['country']} | {current['temp_f']}°F | {current['humidity']}% | {current['condition']['text']} | {current['wind_dir']} {current['wind_degree']}° {current['wind_mph']} mph"
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return current_output_format[units]
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