added model_config helper function and tests

tests/test_hydrological_modelling.py

@@ -2,7 +2,10 @@
 import numpy as np
 import pytest
 
-from xhydro.modelling.hydrological_modelling import run_hydrological_model
+from xhydro.modelling.hydrological_modelling import (
+    get_hydrological_model_inputs,
+    run_hydrological_model,
+)
 
 
 def test_hydrological_modelling():
@@ -31,3 +34,19 @@ def test_import_unknown_model():
         model_config = {"model_name": "fake_model"}
         _ = run_hydrological_model(model_config)
         assert pytest_wrapped_e.type == NotImplementedError
+
+
+def test_get_unknown_model_requirements():
+    """Test for required inputs for models with unknown name"""
+    with pytest.raises(NotImplementedError) as pytest_wrapped_e:
+        model_name = "fake_model"
+        _ = get_hydrological_model_inputs(model_name)
+        assert pytest_wrapped_e.type == NotImplementedError
+
+
+def test_get_model_requirements():
+    """Test for required inputs for models"""
+    model_name = "Dummy"
+    required_config = get_hydrological_model_inputs(model_name)
+    print(required_config.keys())
+    assert len(required_config.keys()) == 4

xhydro/modelling/hydrological_modelling.py

@@ -74,6 +74,38 @@ def run_hydrological_model(model_config: dict):
     return qsim
 
 
+def get_hydrological_model_inputs(model_name: str):
+    """Required hydrological model inputs for model_config objects.
+
+    Parameters
+    ----------
+    model_name : str
+        Model name that must be one of the models in the list of possible
+        models.
+
+    Returns
+    -------
+    dict
+        Elements that must be found in the model_config object.
+    """
+    if model_name == "Dummy":
+        required_config = dict(
+            precip="Daily precipitation in mm.",
+            temperature="Daily average air temperature in °C",
+            drainage_area="Drainage area of the catchment",
+            parameters="Model parameters, length 3",
+        )
+
+    elif model_name == "ADD_OTHER_HERE":
+        # ADD OTHER MODELS HERE
+        required_config = {}
+
+    else:
+        raise NotImplementedError(f"The model '{model_name}' is not recognized.")
+
+    return required_config
+
+
 def _dummy_model(model_config: dict):
     """Dummy model.