jdejaegh/python-irceline
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@ -24,9 +24,8 @@ pip install open-irceline
```python ```python
import aiohttp import aiohttp
import asyncio import asyncio
from datetime import datetime, date from datetime import datetime
from open_irceline import IrcelineRioClient, IrcelineForecastClient, ForecastFeature, RioFeature
from open_irceline import IrcelineRioClient, RioFeature, IrcelineForecastClient, ForecastFeature, belaqi_index_rio_hourly
async def get_rio_interpolated_data(): async def get_rio_interpolated_data():
@ -43,12 +42,11 @@ async def get_rio_interpolated_data():
print(f"PM10 {result[RioFeature.PM10_HMEAN]['value']} µg/m³") print(f"PM10 {result[RioFeature.PM10_HMEAN]['value']} µg/m³")
async def get_forecast(): async def get_o3_forecast():
"""Get forecast for O3 concentration for Brussels for the next days""" """Get forecast for O3 concentration for Brussels for the next days"""
async with aiohttp.ClientSession() as session: async with aiohttp.ClientSession() as session:
client = IrcelineForecastClient(session) client = IrcelineForecastClient(session)
result = await client.get_data( result = await client.get_data(
timestamp=date.today(),
features=[ForecastFeature.O3_MAXHMEAN], features=[ForecastFeature.O3_MAXHMEAN],
position=(50.85, 4.35) # (lat, lon) for Brussels position=(50.85, 4.35) # (lat, lon) for Brussels
) )
@ -57,28 +55,28 @@ async def get_forecast():
print(f"{feature} {day} {v['value']} µg/m³") print(f"{feature} {day} {v['value']} µg/m³")
async def get_current_belaqi(): async def get_belaqi_forecast():
"""Get current BelAQI index from RIO interpolated values""" """Get current BelAQI index from RIO interpolated values"""
async with aiohttp.ClientSession() as session: async with aiohttp.ClientSession() as session:
client = IrcelineRioClient(session) client = IrcelineForecastClient(session)
result = await belaqi_index_rio_hourly( result = await client.get_data(
rio_client=client, features=[ForecastFeature.BELAQI],
timestamp=datetime.utcnow(), # must be timezone aware
position=(50.85, 4.35) # (lat, lon) for Brussels position=(50.85, 4.35) # (lat, lon) for Brussels
) )
print(f"Current BelAQI index for Brussels: {result.get('value')}") for (_, day), value in result.items():
print(day, value['value'])
if __name__ == '__main__': if __name__ == '__main__':
print("RIO interpolated data") print("\nInterpolated data")
asyncio.run(get_rio_interpolated_data()) asyncio.run(get_rio_interpolated_data())
print("\nO3 forecast for Brussels") print("\nO3 forecast for Brussels")
asyncio.run(get_forecast()) asyncio.run(get_o3_forecast())
print("\nCurrent BelAQI index") print("\nForecast BelAQI index")
asyncio.run(get_current_belaqi()) asyncio.run(get_belaqi_forecast())
``` ```
## Attribution ## Attribution