#!/usr/bin/env python3 from dataclasses import dataclass import datetime import json from typing import List import urllib.request import argparse_utils import config import datetime_utils import list_utils import persistent cfg = config.add_commandline_args( f'Cached Weather Data List ({__file__})', 'Arguments controlling cached weather data', ) cfg.add_argument( '--weather_data_cachefile', type=str, default='/home/scott/.weather_summary_cache', metavar='FILENAME', help='File in which to cache weather data' ) cfg.add_argument( '--weather_data_stalest_acceptable', type=argparse_utils.valid_duration, default=datetime.timedelta(seconds=7200), # 2 hours metavar='DURATION', help='Maximum acceptable age of cached data. If zero, forces a refetch' ) @dataclass class WeatherData: date: datetime.date # The date high: float # The predicted high in F low: float # The predicted low in F conditions: List[str] # Conditions per ~3h window most_common_condition: str # The most common condition icon: str # An icon to represent it @persistent.persistent_autoloaded_singleton() class CachedWeatherData(persistent.Persistent): def __init__(self, weather_data = None): if weather_data is not None: self.weather_data = weather_data return self.weather_data = {} icon_by_condition = { "Thunderstorm": "⚡", "Drizzle": "", "Rain": "☂️", "Snow": "❄️", "Clear": "☀️", "Clouds": "⛅", "Mist": "🌫", "Smoke": "🚬", "Haze": "🌥️", "Dust": "💨", "Fog": "🌁", "Sand": "🏜️", "Ash": "🌋", "Squall": "🌬", "Tornado": "🌪️" } now = datetime.datetime.now() dates = set() highs = {} lows = {} conditions = {} param = "id=5786882" # Bellevue, WA key = "c0b160c49743622f62a9cd3cda0270b3" www = urllib.request.urlopen( f'http://api.openweathermap.org/data/2.5/weather?zip=98005,us&APPID={key}&units=imperial' ) response = www.read() www.close() parsed_json = json.loads(response) dt = datetime.datetime.fromtimestamp(parsed_json["dt"]).date() dates.add(dt) condition = parsed_json["weather"][0]["main"] icon = icon_by_condition.get(condition, '?') if dt == now.date() and now.hour > 18 and condition == 'Clear': icon = '🌙' self.weather_data[dt] = WeatherData( date = dt, high = float(parsed_json["main"]["temp_max"]), low = float(parsed_json["main"]["temp_min"]), conditions = [condition], most_common_condition = condition, icon = icon, ) www = urllib.request.urlopen( f"http://api.openweathermap.org/data/2.5/forecast?{param}&APPID={key}&units=imperial" ) response = www.read() www.close() parsed_json = json.loads(response) count = parsed_json["cnt"] for x in range(count): data = parsed_json["list"][x] dt = datetime.datetime.strptime(data['dt_txt'], '%Y-%m-%d %H:%M:%S') dt = dt.date() dates.add(dt) if dt not in highs: highs[dt] = None lows[dt] = None conditions[dt] = [] temp = data["main"]["temp"] if highs[dt] is None or temp > highs[dt]: highs[dt] = temp if lows[dt] is None or temp < lows[dt]: lows[dt] = temp cond = data["weather"][0]["main"] conditions[dt].append(cond) today = datetime_utils.now_pacific().date() for dt in sorted(dates): if dt == today: high = highs.get(dt, None) if ( high is not None and self.weather_data[today].high < high ): self.weather_data[today].high = high continue most_common_condition = list_utils.most_common_item(conditions[dt]) icon = icon_by_condition.get(most_common_condition, '?') if dt == now.date() and now.hour > 18 and condition == 'Clear': icon = '🌙' self.weather_data[dt] = WeatherData( date = dt, high = highs[dt], low = lows[dt], conditions = conditions[dt], most_common_condition = most_common_condition, icon = icon ) @classmethod def load(cls): if persistent.was_file_written_within_n_seconds( config.config['weather_data_cachefile'], config.config['weather_data_stalest_acceptable'].total_seconds(), ): import pickle with open(config.config['weather_data_cachefile'], 'rb') as rf: weather_data = pickle.load(rf) return cls(weather_data) return None def save(self): import pickle with open(config.config['weather_data_cachefile'], 'wb') as wf: pickle.dump( self.weather_data, wf, pickle.HIGHEST_PROTOCOL, )