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#!/usr/bin/env python3
# © Copyright 2021-2022, Scott Gasch
"""How's the weather going to be tomorrow?"""
import datetime
import logging
import os
import urllib.request
from dataclasses import dataclass
from typing import Any
import astral # type: ignore
import pytz
from astral.sun import sun # type: ignore
from bs4 import BeautifulSoup # type: ignore
from overrides import overrides
import argparse_utils
import config
import dateparse.dateparse_utils as dp
import datetime_utils
import persistent
import smart_home.thermometers as temps
import text_utils
logger = logging.getLogger(__name__)
cfg = config.add_commandline_args(
f'Cached Weather Forecast ({__file__})',
'Arguments controlling detailed weather rendering',
)
cfg.add_argument(
'--weather_forecast_cachefile',
type=str,
default=f'{os.environ["HOME"]}/cache/.weather_forecast_cache',
metavar='FILENAME',
help='File in which to cache weather data',
)
cfg.add_argument(
'--weather_forecast_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 WeatherForecast:
date: datetime.date # The date
sunrise: datetime.datetime # Sunrise datetime
sunset: datetime.datetime # Sunset datetime
description: str # Textual description of weather
@persistent.persistent_autoloaded_singleton() # type: ignore
class CachedDetailedWeatherForecast(persistent.PicklingFileBasedPersistent):
def __init__(self, forecasts=None):
if forecasts is not None:
self.forecasts = forecasts
return
now = datetime_utils.now_pacific()
self.forecasts = {}
# Ask the raspberry pi about the outside temperature.
current_temp = temps.ThermometerRegistry().read_temperature(
'house_outside', convert_to_fahrenheit=True
)
# Get a weather forecast for Bellevue.
www = urllib.request.urlopen(
"https://forecast.weather.gov/MapClick.php?lat=47.652775&lon=-122.170716"
)
forecast_response = www.read()
www.close()
soup = BeautifulSoup(forecast_response, "html.parser")
forecast = soup.find(id='detailed-forecast-body')
parser = dp.DateParser()
said_temp = False
last_dt = now
dt = now
for (day, txt) in zip(
forecast.find_all('b'),
forecast.find_all(class_='col-sm-10 forecast-text'),
):
last_dt = dt
try:
dt = parser.parse(day.get_text())
except Exception:
dt = last_dt
assert dt is not None
# Compute sunrise/sunset times on dt.
city = astral.LocationInfo("Bellevue", "USA", "US/Pacific", 47.653, -122.171)
s = sun(city.observer, date=dt, tzinfo=pytz.timezone("US/Pacific"))
sunrise = s['sunrise']
sunset = s['sunset']
if dt.date() == now.date() and not said_temp and current_temp is not None:
blurb = f'{day.get_text()}: The current outside tempterature is {current_temp}. '
blurb += txt.get_text()
said_temp = True
else:
blurb = f'{day.get_text()}: {txt.get_text()}'
blurb = text_utils.wrap_string(blurb, 80)
if dt.date() in self.forecasts:
self.forecasts[dt.date()].description += '\n' + blurb
else:
self.forecasts[dt.date()] = WeatherForecast(
date=dt,
sunrise=sunrise,
sunset=sunset,
description=blurb,
)
@staticmethod
@overrides
def get_filename() -> str:
return config.config['weather_forecast_cachefile']
@staticmethod
@overrides
def should_we_save_data(filename: str) -> bool:
return True
@staticmethod
@overrides
def should_we_load_data(filename: str) -> bool:
return persistent.was_file_written_within_n_seconds(
filename,
config.config['weather_forecast_stalest_acceptable'].total_seconds(),
)
@overrides
def get_persistent_data(self) -> Any:
return self.forecasts
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