Data interpolation layer

[fedjo]

Transform data retrieved from above calls to OpenMeteo to data structures expected from the ETo and soil analysis algorithm

Brainstorm on the solution in a way that OpenMeteo can in the future be switched to another API. Can be internal weather srv API or OpenWeatherMap or a SIP sensors. Use data mappers, translator etc if needed in order to make the application and the algorithms for GDD and Risk index robust. For example think that different sources can have humidity named in different ways. In that case you will need to add an interpolation layer that translates the data to a format suitable algorithm

This layer must in general work as a layer of transformation between ext APIs and the input algorithm structure. Imagine a function like

def interpolate_for_eto(raw_api_data, source=['sip4', 'openmeteo']): -> eto_dataframe

It can also be a class

[vlf-stefan-drobic]

For the sake of ETo calculations, the format of the weather data service response on the fetch API is fine for now, but a unified format would be nice to have, I've already made comments on the similar issue that's open on PDM.