patch export to add also detector details

src/pg_rad/simulator/engine.py

@@ -3,6 +3,7 @@ from typing import List
 from pg_rad.landscape.landscape import Landscape
 from pg_rad.simulator.outputs import (
     CountRateOutput,
+    DetectorOutput,
     SimulationOutput,
     SourceOutput
 )
@@ -31,11 +32,13 @@ class SimulationEngine:
 
         count_rate_results = self._calculate_count_rate_along_path()
         source_results = self._calculate_point_source_distance_to_path()
+        detector_results = self._generate_detector_output()
 
         return SimulationOutput(
             name=self.landscape.name,
             size=self.landscape.size,
             count_rate=count_rate_results,
+            detector=detector_results,
             sources=source_results
         )
 
@@ -80,3 +83,13 @@ class SimulationEngine:
             )
 
         return source_output
+
+    def _generate_detector_output(self) -> DetectorOutput:
+        return DetectorOutput(
+            name=self.detector.name,
+            type=self.detector.type,
+            is_isotropic=self.detector.is_isotropic,
+            field_eff=self.detector.get_efficiency(
+                self.landscape.point_sources[0].isotope.E
+            )
+        )

src/pg_rad/simulator/outputs.py

@@ -24,9 +24,18 @@ class SourceOutput:
     dist_from_path: float
 
 
+@dataclass
+class DetectorOutput:
+    name: str
+    type: str
+    is_isotropic: bool
+    field_eff: float
+
+
 @dataclass
 class SimulationOutput:
     name: str
     size: tuple
+    detector: DetectorOutput
     count_rate: CountRateOutput
     sources: List[SourceOutput]

src/pg_rad/utils/export.py

@@ -5,7 +5,7 @@ import os
 import logging
 import re
 
-from numpy import array, full_like, ndarray
+from numpy import array, full_like, ndarray, bool_
 from pandas import DataFrame
 
 from pg_rad.simulator.outputs import SimulationOutput
@@ -18,6 +18,8 @@ class NumpyEncoder(json.JSONEncoder):
     def default(self, obj):
         if isinstance(obj, ndarray):
             return obj.tolist()
+        elif isinstance(obj, bool_):
+            return bool(obj)
         return super().default(obj)
 
 
@@ -44,8 +46,10 @@ def save_results(sim: SimulationOutput, folder_name: str) -> None:
     df = generate_df(sim)
     csv_name = generate_csv_name(sim)
     df.to_csv(f"{folder_name}/{csv_name}.csv", index=False)
+    param_dict = generate_sim_param_dict(sim)
+    print(type(param_dict['detector']['is_isotropic']))
     with open(f"{folder_name}/parameters.json", 'w') as f:
-        json.dump(generate_sim_param_dict(sim), f, cls=NumpyEncoder)
+        json.dump(param_dict, f, cls=NumpyEncoder)
     logger.info(f"Simulation output saved to {folder_name}!")