meteo-lt-pkg 0.2.4

A library to fetch weather data from api.meteo.lt

Meteo.Lt Lithuanian weather forecast package

MeteoLt-Pkg is a Python library designed to fetch weather data from api.meteo.lt. This library provides convenient methods to interact with the API and obtain weather forecasts and related data. Please visit for more information.

Installation

You can install the package using pip:

pip install meteo_lt-pkg

Usage

Initializing the API Client To start using the library, you need to initialize the MeteoLtAPI client:

from meteo_lt import MeteoLtAPI

api_client = MeteoLtAPI()

Fetching Places

To get the list of available places:

import asyncio

async def fetch_places():
    await api_client.fetch_places()
    for place in api_client.places:
        print(place)

asyncio.run(fetch_places())

Getting the Nearest Place

You can find the nearest place using latitude and longitude coordinates:

async def find_nearest_place(latitude, longitude):
    nearest_place = await api_client.get_nearest_place(latitude, longitude)
    print(f"Nearest place: {nearest_place.name}")

 # Example coordinates for Vilnius, Lithuania
asyncio.run(find_nearest_place(54.6872, 25.2797))

Also, if no places are retrieved before, that is done automatically in get_nearest_place method.

Fetching Weather Forecast

To get the weather forecast for a specific place, use the get_forecast method with the place code:

async def fetch_forecast(place_code):
    forecast = await api_client.get_forecast(place_code)
    current_conditions = forecast.current_conditions()
    print(f"Current temperature: {current_conditions.temperature}°C")

# Example place code for Vilnius, Lithuania
asyncio.run(fetch_forecast("vilnius"))

NOTE current_conditions is the current hour record from the forecast_timestamps array. Also, forecast_timestamps array has past time records filtered out due to api.meteo.lt not doing that automatically.

Data Models

The package includes several data models to represent the API responses:

Coordinates

Represents geographic coordinates.

from meteo_lt import Coordinates

coords = Coordinates(latitude=54.6872, longitude=25.2797)
print(coords)

Place

Represents a place with associated metadata.

from meteo_lt import Place

place = Place(code="vilnius", name="Vilnius", administrative_division="Vilnius City Municipality", country="LT", coordinates=coords)
print(place.latitude, place.longitude)

ForecastTimestamp

Represents a timestamp within the weather forecast, including various weather parameters.

from meteo_lt import ForecastTimestamp

forecast_timestamp = ForecastTimestamp(
    datetime="2024-07-23T12:00:00+00:00",
    temperature=25.5,
    apparent_temperature=27.0,
    condition_code="clear",
    wind_speed=5.0,
    wind_gust_speed=8.0,
    wind_bearing=180,
    cloud_coverage=20,
    pressure=1012,
    humidity=60,
    precipitation=0
)
print(forecast_timestamp.condition)

Forecast

Represents the weather forecast for a place, containing multiple forecast timestamps.

from meteo_lt import Forecast

forecast = Forecast(
    place=place,
    forecast_created=datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
    forecast_timestamps=[forecast_timestamp]
)
print(forecast.current_conditions().temperature)

Contributing

Contributions are welcome! For major changes please open an issue to discuss or submit a pull request with your changes. If you want to contribute you can use devcontainers in vscode for easiest setup follow instructions here.

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