add laptop configs

dot-files-laptop/.config/waybar/scripts/weather.py

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+#!/usr/bin/env python
+
+import subprocess
+from pyquery import PyQuery  # install using `pip install pyquery`
+import json
+
+# weather icons
+weather_icons = {
+    "sunnyDay": "󰖨",
+    "clearNight": "󰖔",
+    "cloudyFoggyDay": "󰖕",
+    "cloudyFoggyNight": "",
+    "rainyDay": "󰼳",
+    "rainyNight": "",
+    "snowyIcyDay": "󰼴",
+    "snowyIcyNight": "󰖘",
+    "severe": "󰢘",
+    "default": "",
+}
+
+# get location_id
+# to get your own location_id, go to https://weather.com & search your location.
+# once you choose your location, you can see the location_id in the URL(64 chars long hex string)
+# like this: https://weather.com/en-IN/weather/today/l/c3e96d6cc4965fc54f88296b54449571c4107c73b9638c16aafc83575b4ddf2e
+location_id = "e42bb25a58c2e689ec85e632d82e69d7e46c82defb9ad7a5551b6c3a70fbc282"  # TODO
+# location_id = "8139363e05edb302e2d8be35101e400084eadcecdfce5507e77d832ac0fa57ae"
+
+# priv_env_cmd = 'cat $PRIV_ENV_FILE | grep weather_location | cut -d "=" -f 2'
+# location_id = subprocess.run(
+#     priv_env_cmd, shell=True, capture_output=True).stdout.decode('utf8').strip()
+
+# get html page
+url_fetch = "https://weather.com/en-IN/weather/today/l/" + location_id
+html_data = PyQuery(url=url_fetch)
+
+# current temperature
+temp = html_data("span[data-testid='TemperatureValue']").eq(0).text()
+# print(temp)
+
+# current status phrase
+status = html_data("div[data-testid='wxPhrase']").text()
+status = f"{status[:16]}.." if len(status) > 17 else status
+# print(status)
+
+# status code
+status_code = html_data("#regionHeader").attr("class").split(" ")[2].split("-")[2]
+# print(status_code)
+
+# status icon
+icon = (
+    weather_icons[status_code]
+    if status_code in weather_icons
+    else weather_icons["default"]
+)
+# print(icon)
+
+# 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"
+# print(temp_feel_text)
+
+# min-max temperature
+temp_min = (
+    html_data("div[data-testid='wxData'] > span[data-testid='TemperatureValue']")
+    .eq(0)
+    .text()
+)
+temp_max = (
+    html_data("div[data-testid='wxData'] > span[data-testid='TemperatureValue']")
+    .eq(1)
+    .text()
+)
+temp_min_max = f"  {temp_min}\t\t  {temp_max}"
+# print(temp_min_max)
+
+# wind speed
+wind_speed = html_data("span[data-testid='Wind']").text().split("\n")[1]
+wind_text = f"  {wind_speed}"
+# print(wind_text)
+
+# humidity
+humidity = html_data("span[data-testid='PercentageValue']").text()
+humidity_text = f"  {humidity}"
+# print(humidity_text)
+
+# visibility
+visbility = html_data("span[data-testid='VisibilityValue']").text()
+visbility_text = f"  {visbility}"
+# print(visbility_text)
+
+# air quality index
+air_quality_index = html_data("text[data-testid='DonutChartValue']").text()
+# print(air_quality_index)
+
+# 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\n    (hourly) {prediction}" if len(prediction) > 0 else prediction
+# print(prediction)
+
+# tooltip text
+tooltip_text = str.format(
+    "\t\t{}\t\t\n{}\n{}\n{}\n\n{}\n{}\n{}{}",
+    f'<span size="xx-large">{temp}C 🇩🇴</span>',
+    f"<big>{icon}</big>",
+    f"<big>{status}</big>",
+    f"<small>{temp_feel_text}</small>",
+    f"<big>{temp_min_max}</big>",
+    f"{wind_text}\t{humidity_text}",
+    f"{visbility_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))