Check if kwargs will satisfy pyciemss func

tests/tests.py

@@ -1,15 +1,41 @@
 import json
 import os
+from inspect import signature
 
 from mock import patch
 import pytest
 
+from pyciemss.PetriNetODE.interfaces import ( # noqa: F401
+ load_and_calibrate_and_sample_petri_model,
+ load_and_sample_petri_model,
+)
+
+from pyciemss.Ensemble.interfaces import ( # noqa: F401
+ load_and_sample_petri_ensemble,
+ load_and_calibrate_and_sample_ensemble_model,
+)
+
 from service.models import Simulate, Calibrate, EnsembleSimulate, EnsembleCalibrate
 from service.settings import settings
 
 TDS_URL = settings.TDS_URL
 
 
+def is_satisfactory(kwargs, f):
+ parameters = signature(f).parameters
+ for key, value in kwargs.items():
+ if key in parameters:
+ # TODO: Check types as well
+ # param = parameters[key]
+ # if param.annotation != Signature.empty and not isinstance(
+ # value, param.annotation
+ # ):
+ # return False
+ continue
+ return False
+ return True
+
+
 @pytest.fixture
 def operation_context(request):
  ctx = {}
@@ -49,6 +75,7 @@ def test_example_conversion(self, operation_context, requests_mock):
  kwargs = operation_request.gen_pyciemss_args(job_id)
 
  assert kwargs.get("visual_options", False)
+ assert is_satisfactory(kwargs, load_and_sample_petri_model)
 
 
 class TestCalibrate:
@@ -76,6 +103,7 @@ def test_example_conversion(self, operation_context, requests_mock):
  kwargs = operation_request.gen_pyciemss_args(job_id)
 
  assert kwargs.get("visual_options", False)
+ assert is_satisfactory(kwargs, load_and_calibrate_and_sample_petri_model)
 
 
 class TestEnsembleSimulate:
@@ -96,6 +124,7 @@ def test_example_conversion(self, operation_context, requests_mock):
  kwargs = operation_request.gen_pyciemss_args(job_id)
 
  assert kwargs.get("visual_options", False)
+ assert is_satisfactory(kwargs, load_and_sample_petri_ensemble)
 
 
 class TestEnsembleCalibrate:
@@ -126,3 +155,4 @@ def test_example_conversion(self, operation_context, requests_mock):
  kwargs = operation_request.gen_pyciemss_args(job_id)
 
  assert kwargs.get("visual_options", False)
+ assert is_satisfactory(kwargs, load_and_calibrate_and_sample_ensemble_model)