Add warning that simulator is missing

src/deepdiagnostics/client/client.py

@@ -8,6 +8,7 @@
 from deepdiagnostics.models import ModelModules
 from deepdiagnostics.metrics import Metrics
 from deepdiagnostics.plots import Plots
+from deepdiagnostics.utils.simulator_utils import SimulatorMissingError
 
 
 def parser():
@@ -109,9 +110,15 @@ def main():
     plots = config.get_section("plots", raise_exception=False)
 
     for metrics_name, metrics_args in metrics.items():
-        Metrics[metrics_name](model, data, save=True)(**metrics_args)
+        try: 
+            Metrics[metrics_name](model, data, save=True)(**metrics_args)
+        except SimulatorMissingError: 
+            print(f"Cannot run {metrics_name} - simulator missing.")
 
     for plot_name, plot_args in plots.items():
-        Plots[plot_name](model, data, save=True, show=False, out_dir=out_dir)(
-            **plot_args
-        )
+        try: 
+            Plots[plot_name](model, data, save=True, show=False, out_dir=out_dir)(
+                **plot_args
+            )
+        except SimulatorMissingError: 
+            print(f"Cannot run {plot_name} - simulator missing.")

src/deepdiagnostics/data/data.py

@@ -2,7 +2,7 @@
 import numpy as np
 
 from deepdiagnostics.utils.config import get_item
-from deepdiagnostics.utils.register import load_simulator
+from deepdiagnostics.utils.simulator_utils import load_simulator
 
 class Data:
     """
@@ -35,7 +35,11 @@ def __init__(
             get_item("common", "random_seed", raise_exception=False)
         )
         self.data = self._load(path)
-        self.simulator = load_simulator(simulator_name, simulator_kwargs)
+        try: 
+            self.simulator = load_simulator(simulator_name, simulator_kwargs)
+        except RuntimeError: 
+            print("Warning: Simulator not loaded. Can only run non-generative metrics.")
+
         self.prior_dist = self.load_prior(prior, prior_kwargs)
         self.n_dims = self.get_theta_true().shape[1]
         self.simulator_dimensions = simulation_dimensions if simulation_dimensions is not None else get_item("data", "simulator_dimensions", raise_exception=False)

src/deepdiagnostics/metrics/__init__.py

@@ -7,9 +7,8 @@ def void2(*args, **kwargs):
         return None
     return void2
 
-
 Metrics = {
-    "": void,
+    "": void, 
     CoverageFraction.__name__: CoverageFraction, 
     AllSBC.__name__: AllSBC, 
     "LC2ST": LC2ST

src/deepdiagnostics/metrics/local_two_sample.py

@@ -7,6 +7,7 @@
 from sklearn.utils import shuffle
 
 from deepdiagnostics.metrics.metric import Metric
+from deepdiagnostics.utils.simulator_utils import SimulatorMissingError
 
 class LocalTwoSampleTest(Metric): 
     """
@@ -46,6 +47,8 @@ def __init__(
             percentiles,
             number_simulations
         )
+        if not hasattr(self.data, "simulator"): 
+            raise SimulatorMissingError("Missing a simulator to run LC2ST.")
 
     def _collect_data_params(self):
         # P is the prior and x_P is generated via the simulator from the parameters P.

src/deepdiagnostics/plots/__init__.py

@@ -7,12 +7,12 @@
 from deepdiagnostics.plots.parity import Parity
 from deepdiagnostics.plots.predictive_prior_check import PriorPC
 
+
 def void(*args, **kwargs): 
     def void2(*args, **kwargs):
         return None
     return void2
 
-
 Plots = {
     "": void,
     CDFRanks.__name__: CDFRanks,

src/deepdiagnostics/plots/predictive_posterior_check.py

@@ -4,6 +4,7 @@
 
 from deepdiagnostics.plots.plot import Display
 from deepdiagnostics.utils.plotting_utils import get_hex_colors
+from deepdiagnostics.utils.simulator_utils import SimulatorMissingError
 
 class PPC(Display):
     """
@@ -33,6 +34,8 @@ def __init__(
         colorway =None):
 
         super().__init__(model, data, save, show, out_dir, percentiles, use_progress_bar, samples_per_inference, number_simulations, parameter_names, parameter_colors, colorway)
+        if not hasattr(self.data, "simulator"): 
+            raise SimulatorMissingError("Missing a simulator to run PPC.")
 
     def plot_name(self):
         return "predictive_posterior_check.png"

src/deepdiagnostics/plots/predictive_prior_check.py

@@ -3,6 +3,7 @@
 import numpy as np
 
 from deepdiagnostics.plots.plot import Display
+from deepdiagnostics.utils.simulator_utils import SimulatorMissingError
 
 class PriorPC(Display):
     """
@@ -36,7 +37,9 @@ def __init__(
         colorway = None):
 
         super().__init__(model, data, save, show, out_dir, percentiles, use_progress_bar, samples_per_inference, number_simulations, parameter_names, parameter_colors, colorway)
-
+        if not hasattr(self.data, "simulator"): 
+            raise SimulatorMissingError("Missing a simulator to run PriorPC.")
+
         if self.data.simulator_dimensions == 1: 
             self.plot_image = False
 

src/deepdiagnostics/utils/register.py → src/deepdiagnostics/utils/simulator_utils.py

@@ -71,4 +71,8 @@ def load_simulator(name, simulator_kwargs):
             "Simulator improperly formed - requires a simulate method."
         )
 
-    return simulator_instance
+    return simulator_instance
+
+
+class SimulatorMissingError(Exception): 
+    pass

tests/conftest.py

@@ -9,7 +9,7 @@
 from deepdiagnostics.data.simulator import Simulator
 from deepdiagnostics.models import SBIModel
 from deepdiagnostics.utils.config import get_item
-from deepdiagnostics.utils.register import register_simulator
+from deepdiagnostics.utils.simulator_utils import register_simulator
 
 
 class MockSimulator(Simulator):

tests/test_client.py

@@ -62,3 +62,25 @@ def test_main_missing_args(model_path):
     process = subprocess.run(command)
     exit_code = process.returncode
     assert exit_code == 1
+
+
+def test_missing_simulator(model_path, data_path): 
+    command = [
+        "diagnose",
+        "--model_path",
+        model_path,
+        "--data_path",
+        data_path,
+        "--simulator",
+        "Not_A_Registered_Name",
+        "--plots", 
+        "PPC",
+        "--metrics", 
+        ""
+    ]
+    process = subprocess.run(command, capture_output=True)
+    exit_code = process.returncode
+    stdout = process.stdout.decode("utf-8") 
+    assert exit_code == 0
+    plot_name = "PPC"
+    assert f"Cannot run {plot_name} - simulator missing." in stdout