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[mod] weather results: add types, i18n/l10n, symbols & unit conversions
The types necessary for weather information such as GeoLocation, DateTime, Temperature,Pressure, WindSpeed, RelativeHumidity, Compass (wind direction) and symbols for the weather have been implemented. There are unit conversions and translations for weather property labels. Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
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Markus Heiser
Markus Heiser
parent
a800dd0473
commit
ff206e9679
13 changed files with 980 additions and 181 deletions
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@ -1,18 +1,17 @@
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# SPDX-License-Identifier: AGPL-3.0-or-later
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"""Open Meteo (weather)"""
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from urllib.parse import urlencode, quote_plus
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from urllib.parse import urlencode
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from datetime import datetime
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from flask_babel import gettext
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from searx.network import get
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from searx.exceptions import SearxEngineAPIException
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from searx.result_types import EngineResults, Weather
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from searx.result_types import EngineResults, WeatherAnswer
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from searx import weather
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about = {
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"website": 'https://open-meteo.com',
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"website": "https://open-meteo.com",
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"wikidata_id": None,
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"official_api_documentation": 'https://open-meteo.com/en/docs',
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"official_api_documentation": "https://open-meteo.com/en/docs",
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"use_official_api": True,
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"require_api_key": False,
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"results": "JSON",
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@ -23,98 +22,129 @@ categories = ["weather"]
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geo_url = "https://geocoding-api.open-meteo.com"
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api_url = "https://api.open-meteo.com"
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data_of_interest = "temperature_2m,relative_humidity_2m,apparent_temperature,cloud_cover,pressure_msl,wind_speed_10m,wind_direction_10m" # pylint: disable=line-too-long
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data_of_interest = (
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"temperature_2m",
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"apparent_temperature",
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"relative_humidity_2m",
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"apparent_temperature",
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"cloud_cover",
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"pressure_msl",
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"wind_speed_10m",
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"wind_direction_10m",
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"weather_code",
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# "visibility",
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# "is_day",
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)
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def request(query, params):
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location_url = f"{geo_url}/v1/search?name={quote_plus(query)}"
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resp = get(location_url)
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if resp.status_code != 200:
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raise SearxEngineAPIException("invalid geo location response code")
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try:
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location = weather.GeoLocation.by_query(query)
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except ValueError:
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return
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json_locations = resp.json().get("results", [])
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if len(json_locations) == 0:
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raise SearxEngineAPIException("location not found")
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location = json_locations[0]
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args = {
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'latitude': location['latitude'],
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'longitude': location['longitude'],
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'timeformat': 'unixtime',
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'format': 'json',
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'current': data_of_interest,
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'forecast_days': 7,
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'hourly': data_of_interest,
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"latitude": location.latitude,
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"longitude": location.longitude,
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"timeformat": "unixtime",
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"timezone": "auto", # use timezone of the location
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"format": "json",
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"current": ",".join(data_of_interest),
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"forecast_days": 3,
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"hourly": ",".join(data_of_interest),
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}
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params['url'] = f"{api_url}/v1/forecast?{urlencode(args)}"
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params['location'] = location['name']
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return params
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params["url"] = f"{api_url}/v1/forecast?{urlencode(args)}"
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def c_to_f(temperature):
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return "%.2f" % ((temperature * 1.8) + 32)
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# https://open-meteo.com/en/docs#weather_variable_documentation
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# https://nrkno.github.io/yr-weather-symbols/
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WMO_TO_CONDITION: dict[int, weather.WeatherConditionType] = {
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# 0 Clear sky
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0: "clear sky",
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# 1, 2, 3 Mainly clear, partly cloudy, and overcast
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1: "fair",
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2: "partly cloudy",
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3: "cloudy",
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# 45, 48 Fog and depositing rime fog
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45: "fog",
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48: "fog",
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# 51, 53, 55 Drizzle: Light, moderate, and dense intensity
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51: "light rain",
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53: "light rain",
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55: "light rain",
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# 56, 57 Freezing Drizzle: Light and dense intensity
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56: "light sleet showers",
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57: "light sleet",
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# 61, 63, 65 Rain: Slight, moderate and heavy intensity
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61: "light rain",
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63: "rain",
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65: "heavy rain",
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# 66, 67 Freezing Rain: Light and heavy intensity
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66: "light sleet showers",
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67: "light sleet",
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# 71, 73, 75 Snow fall: Slight, moderate, and heavy intensity
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71: "light sleet",
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73: "sleet",
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75: "heavy sleet",
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# 77 Snow grains
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77: "snow",
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# 80, 81, 82 Rain showers: Slight, moderate, and violent
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80: "light rain showers",
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81: "rain showers",
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82: "heavy rain showers",
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# 85, 86 Snow showers slight and heavy
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85: "snow showers",
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86: "heavy snow showers",
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# 95 Thunderstorm: Slight or moderate
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95: "rain and thunder",
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# 96, 99 Thunderstorm with slight and heavy hail
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96: "light snow and thunder",
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99: "heavy snow and thunder",
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}
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def get_direction(degrees):
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if degrees < 45 or degrees >= 315:
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return "N"
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def _weather_data(location: weather.GeoLocation, data: dict):
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if 45 <= degrees < 135:
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return "O"
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if 135 <= degrees < 225:
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return "S"
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return "W"
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def build_condition_string(data):
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if data['relative_humidity_2m'] > 50:
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return "rainy"
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if data['cloud_cover'] > 30:
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return 'cloudy'
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return 'clear sky'
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def generate_weather_data(data):
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return Weather.DataItem(
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condition=build_condition_string(data),
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temperature=f"{data['temperature_2m']}°C / {c_to_f(data['temperature_2m'])}°F",
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feelsLike=f"{data['apparent_temperature']}°C / {c_to_f(data['apparent_temperature'])}°F",
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wind=(
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f"{get_direction(data['wind_direction_10m'])}, "
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f"{data['wind_direction_10m']}° — "
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f"{data['wind_speed_10m']} km/h"
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),
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pressure=f"{data['pressure_msl']}hPa",
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humidity=f"{data['relative_humidity_2m']}hPa",
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attributes={gettext('Cloud cover'): f"{data['cloud_cover']}%"},
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return WeatherAnswer.Item(
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location=location,
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temperature=weather.Temperature(unit="°C", value=data["temperature_2m"]),
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condition=WMO_TO_CONDITION[data["weather_code"]],
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feels_like=weather.Temperature(unit="°C", value=data["apparent_temperature"]),
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wind_from=weather.Compass(data["wind_direction_10m"]),
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wind_speed=weather.WindSpeed(data["wind_speed_10m"], unit="km/h"),
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pressure=weather.Pressure(data["pressure_msl"], unit="hPa"),
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humidity=weather.RelativeHumidity(data["relative_humidity_2m"]),
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cloud_cover=data["cloud_cover"],
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)
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def response(resp):
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location = weather.GeoLocation.by_query(resp.search_params["query"])
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res = EngineResults()
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json_data = resp.json()
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current_weather = generate_weather_data(json_data['current'])
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weather_answer = Weather(
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location=resp.search_params['location'],
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current=current_weather,
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weather_answer = WeatherAnswer(
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current=_weather_data(location, json_data["current"]),
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service="Open-meteo",
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# url="https://open-meteo.com/en/docs",
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)
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for index, time in enumerate(json_data['hourly']['time']):
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for index, time in enumerate(json_data["hourly"]["time"]):
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if time < json_data["current"]["time"]:
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# Cut off the hours that are already in the past
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continue
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hourly_data = {}
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for key in data_of_interest:
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hourly_data[key] = json_data["hourly"][key][index]
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for key in data_of_interest.split(","):
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hourly_data[key] = json_data['hourly'][key][index]
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forecast_data = generate_weather_data(hourly_data)
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forecast_data.time = datetime.fromtimestamp(time).strftime('%Y-%m-%d %H:%M')
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forecast_data = _weather_data(location, hourly_data)
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forecast_data.datetime = weather.DateTime(datetime.fromtimestamp(time))
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weather_answer.forecasts.append(forecast_data)
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res.add(weather_answer)
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