weatheril is an unofficial IMS (Israel Meteorological Service) python API wrapper.

• Get current weather status.
• Get Daily and Hourly forecast (5 days ahead).
• Get Radar and Satellite images.

• Loguru
• Requests
• Pillow
• urllib3

Use git to clone or you can also manually download the project repository just as shown below;

$ git clone https://github.com/t0mer/py-weatheril/
$ cd py-weatheril
py-weatheril $ python3 setup.py install 

# For Windows 

pip install  --upgrade weatheril

#For Linux | MAC 

pip3 install --upgrade weatheril

weatheril can be configured to retrive forecast information for specific location. when initiating the library you must set the location id and language (Currently only he and en are supported)

from weatheril import *
weather = WeatherIL(21,"he")

In the above example i set Raanana as the location and Hebrew as language. Full locations list in the table below.

from weatheril import *
weather = WeatherIL(21,"he")
images = weather.get_radar_images()

The get_radar_images will retun an object with four lists:

• imsradar_images - Rain radar images (IMS).
• radar_images - Radar images.
• middle_east_satellite_images - Middel East weather sattelite images.
• europe_satellite_images - Eourope weather sattelite images.

You can also create animateg gif from this images lists by using the create_animation method as follows:

from weatheril import *
weather = WeatherIL(21,"he")
images = weather.get_radar_images()
animated = images.create_animation(images = images.middle_east_satellite_images, animated_file = "file.gif", path="/tmp")

The function will return the path for the created image.

Optional You can use the following function to create animated gifs for all images

from weatheril import *
weather = WeatherIL(21,"he")
images = weather.get_radar_images()
images.generate_images(path="Path to store the images")

from weatheril import *
weather = WeatherIL(21,"he")
current = weather.get_current_analysis()

The result will be a weather object containing the data requested:

• Location.
• Humidity.
• Rain.
• Temperature.
• Wind speed.
• Feels like.
• UV.
• Time
• Json result

       "33": {
            "id": "1601809",
            "lid": "33",
            "forecast_time": "2023-01-25 16:00:00",
            "type": "analysis",
            "main_hour": "0",
            "heat_stress": "17",
            "relative_humidity": "58",
            "due_point_Temp": "11",
            "rain": null,
            "temperature": "20",
            "wind_direction_id": "15",
            "wind_speed": "2",
            "wind_chill": "20",
            "weather_code": null,
            "heat_stress_level": "0",
            "feels_like": "20",
            "min_temp": null,
            "max_temp": null,
            "modified": "2023-01-25 15:55:00",
            "created": "2023-01-22 11:50:05",
            "u_v_index": "0",
            "u_v_level": "L",
            "u_v_i_max": null,
            "u_v_i_factor": null
        }

from weatheril import *
weather = WeatherIL(21,"he")
forcats = weather.get_forecast()

This method wil return forecast object that includes weather forecast for the new 5 days. The object contains data on Coutry level and also on give location Forecast >> Daily >> Hourly.

class Forecast:
    days: list

class Daily:
    date: datetime
    location: str
    day: str
    weather: str
    minimum_temperature: int
    maximum_temperature: int
    maximum_uvi: int
    hours: list
    description: str

class Hourly:
    hour: str
    weather: str
    temperature: int