update waybar weather script
This commit is contained in:
Peter Domínguez
parent
2b59f0f44d
commit
3e0bcb3bef
2 changed files with 52 additions and 38 deletions
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@ -1,9 +1,26 @@
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#!/usr/bin/env python
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#!/usr/bin/env python3
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import subprocess
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from pyquery import PyQuery # install using `pip install pyquery`
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import json
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################################### CONFIGURATION ###################################
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# set your location_id
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# to get your location_id, go to https://weather.com & search for your location.
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# once you choose your location, you can see the location_id in the URL(64 chars long hex string)
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# like this: https://weather.com/en-IN/weather/today/l/c3e96d6cc4965fc54f88296b54449571c4107c73b9638c16aafc83575b4ddf2e
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# once you get the location_id, you can replace the below location_id with your own location_id
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location_id = "e42bb25a58c2e689ec85e632d82e69d7e46c82defb9ad7a5551b6c3a70fbc282" # TODO
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# celcius or fahrenheit
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unit = "metric" # metric or imperial
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# forcase type
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forecast_type = "Daily" # Hourly or Daily
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########################################## MAIN ##################################
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# weather icons
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weather_icons = {
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"sunnyDay": "",
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@ -18,33 +35,23 @@ weather_icons = {
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"default": "",
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}
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# get location_id
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# to get your own location_id, go to https://weather.com & search your location.
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# once you choose your location, you can see the location_id in the URL(64 chars long hex string)
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# like this: https://weather.com/en-IN/weather/today/l/c3e96d6cc4965fc54f88296b54449571c4107c73b9638c16aafc83575b4ddf2e
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location_id = "e42bb25a58c2e689ec85e632d82e69d7e46c82defb9ad7a5551b6c3a70fbc282" # TODO
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# location_id = "8139363e05edb302e2d8be35101e400084eadcecdfce5507e77d832ac0fa57ae"
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# priv_env_cmd = 'cat $PRIV_ENV_FILE | grep weather_location | cut -d "=" -f 2'
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# location_id = subprocess.run(
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# priv_env_cmd, shell=True, capture_output=True).stdout.decode('utf8').strip()
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# get html page
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url_fetch = "https://weather.com/en-IN/weather/today/l/" + location_id
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html_data = PyQuery(url=url_fetch)
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_l = "en-IN" if unit == "metric" else "en-US"
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url = f"https://weather.com/{_l}/weather/today/l/{location_id}"
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# get html data
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html_data = PyQuery(url=url)
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# current temperature
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temp = html_data("span[data-testid='TemperatureValue']").eq(0).text()
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# print(temp)
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# current status phrase
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status = html_data("div[data-testid='wxPhrase']").text()
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status = f"{status[:16]}.." if len(status) > 17 else status
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# print(status)
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# status code
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status_code = html_data("#regionHeader").attr("class").split(" ")[2].split("-")[2]
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# print(status_code)
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status_code_class = html_data("#regionHeader").attr("class")
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status_code = str(status_code_class).split(" ")[2].split("-")[2]
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# status icon
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icon = (
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@ -52,59 +59,64 @@ icon = (
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if status_code in weather_icons
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else weather_icons["default"]
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)
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# print(icon)
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# temperature feels like
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temp_feel = html_data(
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"div[data-testid='FeelsLikeSection'] > span > span[data-testid='TemperatureValue']"
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).text()
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temp_feel_text = f"Feels like {temp_feel}C"
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# print(temp_feel_text)
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temp_feel_text = f"Feels like {temp_feel}{'c' if unit == 'metric' else 'f'}"
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# min-max temperature
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temp_min = (
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html_data("div[data-testid='wxData'] > span[data-testid='TemperatureValue']")
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.eq(0)
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.eq(1)
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.text()
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)
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temp_max = (
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html_data("div[data-testid='wxData'] > span[data-testid='TemperatureValue']")
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.eq(1)
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.eq(0)
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.text()
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)
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temp_min_max = f" {temp_min}\t\t {temp_max}"
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# print(temp_min_max)
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# wind speed
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wind_speed = str(html_data("span[data-testid='Wind']").text())
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wind_text = f" {wind_speed}"
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# print(wind_text)
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wind_text = f" {wind_speed}"
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# humidity
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humidity = html_data("span[data-testid='PercentageValue']").text()
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humidity_text = f" {humidity}"
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# print(humidity_text)
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# visibility
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visbility = html_data("span[data-testid='VisibilityValue']").text()
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visbility_text = f" {visbility}"
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# print(visbility_text)
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# air quality index
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air_quality_index = html_data("text[data-testid='DonutChartValue']").text()
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# print(air_quality_index)
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# hourly rain prediction
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prediction = html_data("section[aria-label='Hourly Forecast']")(
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# rain prediction
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r_prediction_text = html_data(f"section[aria-label='{forecast_type} Forecast']")(
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"div[data-testid='SegmentPrecipPercentage'] > span"
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).text()
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prediction = prediction.replace("Chance of Rain", "")
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prediction = f"\n\n (hourly) {prediction}" if len(prediction) > 0 else prediction
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# print(prediction)
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r_prediction = str(r_prediction_text).replace("Chance of Rain", "")
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r_prediction = f" ({forecast_type}) {r_prediction}" if len(r_prediction) > 0 else r_prediction
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# temperature prediction
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t_prediction_text = html_data(f"section[aria-label='{forecast_type} Forecast']")(
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"div[data-testid='SegmentHighTemp'] > span"
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).text()
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t_prediction = str(t_prediction_text).replace(" /", "/")
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t_prediction = f" ({forecast_type}) {t_prediction}" if len(t_prediction) > 0 else t_prediction
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#pretty print all data
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# print(f"temp: {temp}\nstatus: {status}\nstatus_code: {status_code}\nicon: {icon}\
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# \ntemp_feel_text: {temp_feel_text}\ntemp_min_max: {temp_min_max}\nwind_text: {wind_text}\
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# \nhumidity_text: {humidity_text}\nvisbility_text: {visbility_text}\nair_quality_index: {air_quality_index}\
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# \nprediction: \n{r_prediction}\n{t_prediction}")
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# tooltip text
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tooltip_text = str.format(
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"\t\t{}\t\t\n{}\n{}\n{}\n\n{}\n{}\n{}{}",
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"\t\t{}\t\t\n{}\n{}\n{}\n\n{}\n{}\n{}\n\n{}\n{}",
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f'<span size="xx-large">{temp}C 🇩🇴</span>',
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f"<big>{icon}</big>",
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f"<big>{status}</big>",
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@ -112,7 +124,8 @@ tooltip_text = str.format(
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f"<big>{temp_min_max}</big>",
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f"{wind_text}\t{humidity_text}",
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f"{visbility_text}\tAQI {air_quality_index}",
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f"<i>{prediction}</i>",
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f"<i>{r_prediction}</i>",
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f"<i>{t_prediction}</i>"
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)
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# print waybar module data
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@ -123,3 +136,4 @@ out_data = {
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"class": status_code,
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}
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print(json.dumps(out_data))
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@ -11,7 +11,7 @@ selecttag-format " %T (%n)"
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feedlist-format " (%U) %t"
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articlelist-format " %D %6L %?T?|%-17T| ?%t"
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urls-source "freshrss"
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freshrss-url "https://rss.peterdominguez.art/api/greader.php"
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freshrss-url "https://rss.nvim.pro/api/greader.php"
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freshrss-login "buggerman"
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freshrss-passwordfile "/home/peter/.secrets/newsboat"
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freshrss-flag-star "s"
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