added the weather.py file

This commit is contained in:
Mark McIntyre 2022-09-16 07:52:14 -04:00
parent bfd74a28f1
commit 62586e2de6

82
weather.py Normal file
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import json
import urllib
import re
import datetime
class WeatherApi:
def __init__(self):
self.weather_api_url = "https://api.weatherapi.com/v1"
self.api_key_filename = "./weather_api_key.txt"
read_api_key()
def read_api_key(self):
with open(self.api_key_filename) as fp:
self.api_key = fp.read()
def get_current_conditions(self, units='metric'):
# URL for current conditions
current_url = f"{self.weather_api_url}/current.json?key={self.api_key}&q={location}&qai=no"
# Make the request and get the results
current_request = urllib.request.urlopen(current_url)
current_data = current_request.read()
current_json = json.loads(current_data.decode('utf-8'))
# Different formats for different units
current_output_format = {}
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"
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"
return current_output_format[units]
def get_user_preferences(self, nick):
# Read SQLite DB for default location and units for the nick provided
def set_user_preferences(self, nick, location=None, units='metric'):
# Set the default location and units for the nick in a SQLite DB
def get_forecast(self, days=4, units='metric'):
# URL for current conditions
forecast_url = f"{self.weather_api_url}/forecast.json?key={self.api_key}&q={location}&days={days}&qai=no"
# Make the request and get the results
forecast_request = urllib.request.urlopen(forecast_url)
forecast_data = forecast_request.read()
forecast_json = json.loads(forecast_data.decode('utf-8'))
location = forecast_json['location']
forecast = forecast_json['forecast']['forecastday']
# Find the highest and lowest temperature over each 24 hour period
forecast_temps = []
for day in forecast_json['forecast']['forecastday']:
# Set the initial high and low values to absurd values
daily_temp_range = {
'day': day['date'],
'high': 10000.0,
'low': -10000.0,
'conditions': ''
}}
for hour in day['hour']:
temp = day['hour']['temp_c'] if units == 'metric' else day['hour']['temp_f']
if temp > daily_temp_range['high']:
daily_temp_range['high'] = temp
# We only want the conditions for when the temp is the highest
daily_temp_range['conditions'] = hour['condition']['text']
if temp < daily_temp_range['low']:
daily_temp_range['low'] = temp
# Different formats for different units
forecast_output_format = {}
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"
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"
return current_output_format[units]