GwdiInference

gwdi.GwdiInference()

Run GWDI inference for all raster cells in the climate inputs.

Attributes

Name	Type	Description
data_adapter	DataAdapter	Toolbox data-adapter used for all configured input and output access.
df_in	dict[str, object] | None	Cached runtime inputs loaded by :meth:_load_inputs.
df_out	pd.DataFrame | None	Cached GWDI output after :meth:run.
input_order	ClassVar[tuple[str, …]]	Required order of GWDI input adapter names.
precipitation_schema	ClassVar[dict[str, str | list[str]]]	Schema contract for precipitation input (time, fid, P).
evaporation_schema	ClassVar[dict[str, str | list[str]]]	Schema contract for evaporation input (time, fid, evaporation).
location_info_schema	ClassVar[dict[str, str | list[str]]]	Schema contract for location metadata input (location, position).

Methods

Name	Description
log_exceptions	Stuurt exceptions eerst naar de logger van de DataAdapter
run	Execute GWDI inference for all available fid values.

log_exceptions

gwdi.GwdiInference.log_exceptions(method)

Stuurt exceptions eerst naar de logger van de DataAdapter

run

gwdi.GwdiInference.run(input, output)

Execute GWDI inference for all available fid values.

Parameters

Name	Type	Description	Default
input	list[str]	Input adapter names in this exact order: [precipitation, evaporation, location_info, pastas_models, df_stats_minima]. Expected adapter payload contracts: - precipitation: dataframe with time, fid, P. - evaporation: dataframe with time, fid, evaporation. - location_info: dataframe with location, position. - pastas_models: dictionary of loaded Pastas models. - df_stats_minima: dataframe with return periods as index and location names as columns.	required
output	str	Output adapter name that receives GWDI rows with columns: fid, parameterid, methodid, datetime, value, peilbuisid.	required