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#!/usr/bin/env python3
# /* ---- š« https://github.com/JaKooLit š« ---- */ #
# original code https://gist.github.com/Surendrajat/ff3876fd2166dd86fb71180f4e9342d7
# weather using python
import requests
import json
import os
from pyquery import PyQuery # install using `pip install pyquery`
# Get current location based on IP address
def get_location():
response = requests.get("https://ipinfo.io")
data = response.json()
loc = data["loc"].split(",")
return float(loc[0]), float(loc[1])
# weather icons
weather_icons = {
"sunnyDay": "ó°",
"clearNight": "ó°",
"cloudyFoggyDay": "ī",
"cloudyFoggyNight": "ī",
"rainyDay": "ī",
"rainyNight": "ī±",
"snowyIcyDay": "ī",
"snowyIcyNight": "ī§",
"severe": "ī®",
"default": "ī",
}
# Get latitude and longitude
latitude, longitude = get_location()
# Open-Meteo API endpoint
url = f"https://weather.com/en-PH/weather/today/l/{latitude},{longitude}"
html_data = PyQuery(url=url)
# current temperature
temp = html_data("span[data-testid='TemperatureValue']").eq(0).text()
# current status phrase
status = html_data("div[data-testid='wxPhrase']").text()
status = f"{status[:16]}.." if len(status) > 17 else status
# status code
status_code = html_data("#regionHeader").attr("class").split(" ")[2].split("-")[2]
# status icon
icon = (
weather_icons[status_code]
if status_code in weather_icons
else weather_icons["default"]
)
# temperature feels like
temp_feel = html_data(
"div[data-testid='FeelsLikeSection'] > span > span[data-testid='TemperatureValue']"
).text()
temp_feel_text = f"Feels like {temp_feel}c"
# min-max temperature
temp_min = (
html_data("div[data-testid='wxData'] > span[data-testid='TemperatureValue']")
.eq(1)
.text()
)
temp_max = (
html_data("div[data-testid='wxData'] > span[data-testid='TemperatureValue']")
.eq(0)
.text()
)
temp_min_max = f"ļ {temp_min}\t\tļ {temp_max}"
# wind speed
wind_speed = html_data("span[data-testid='Wind']").text().split("\n")[1]
wind_text = f"ī¾ {wind_speed}"
# humidity
humidity = html_data("span[data-testid='PercentageValue']").text()
humidity_text = f"ī³ {humidity}"
# visibility
visibility = html_data("span[data-testid='VisibilityValue']").text()
visibility_text = f"ļ® {visibility}"
# air quality index
air_quality_index = html_data("text[data-testid='DonutChartValue']").text()
# hourly rain prediction
prediction = html_data("section[aria-label='Hourly Forecast']")(
"div[data-testid='SegmentPrecipPercentage'] > span"
).text()
prediction = prediction.replace("Chance of Rain", "")
prediction = f"\n\nī (hourly) {prediction}" if len(prediction) > 0 else prediction
# tooltip text
tooltip_text = str.format(
"\t\t{}\t\t\n{}\n{}\n{}\n\n{}\n{}\n{}{}",
f'<span size="xx-large">{temp}</span>',
f"<big> {icon}</big>",
f"<b>{status}</b>",
f"<small>{temp_feel_text}</small>",
f"<b>{temp_min_max}</b>",
f"{wind_text}\t{humidity_text}",
f"{visibility_text}\tAQI {air_quality_index}",
f"<i> {prediction}</i>",
)
# print waybar module data
out_data = {
"text": f"{icon} {temp}",
"alt": status,
"tooltip": tooltip_text,
"class": status_code,
}
print(json.dumps(out_data))
simple_weather = (
f"{icon} {status}\n"
+ f"ļ {temp} ({temp_feel_text})\n"
+ f"{wind_text} \n"
+ f"{humidity_text} \n"
+ f"{visibility_text} AQI{air_quality_index}\n"
)
try:
with open(os.path.expanduser("~/.cache/.weather_cache"), "w") as file:
file.write(simple_weather)
except Exception as e:
print(f"Error writing to cache: {e}")
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