Add nearly correct JSON export for v0 measurements without PTA definition

Transition source/destination names are not correct yet

2 files changed, 7 insertions, 4 deletions

diff --git a/bin/analyze-archive.py b/bin/analyze-archive.py
index 701096d..869d32e 100755
--- a/bin/analyze-archive.py
+++ b/bin/analyze-archive.py
@@ -1157,9 +1157,8 @@ if __name__ == "__main__":
     if args.export_webconf:
         if not pta:
             print(
-                "[E] --export-energymodel requires --hwmodel to be set", file=sys.stderr
+                "Note: v0 measurements do not embed the PTA used for benchmark generation. Estimating PTA from recorded observations."
             )
-            sys.exit(1)
         json_model = model.to_json()
         mogrify(json_model)
         json_model_str = json.dumps(json_model, indent=2, sort_keys=True, cls=NpEncoder)
@@ -1179,9 +1178,8 @@ if __name__ == "__main__":
     if args.export_energymodel:
         if not pta:
             print(
-                "[E] --export-energymodel requires --hwmodel to be set", file=sys.stderr
+                "Note: v0 measurements do not embed the PTA used for benchmark generation. Estimating PTA from recorded observations."
             )
-            sys.exit(1)
         json_model = model.to_json()
         with open(args.export_energymodel, "w") as f:
             json.dump(json_model, f, indent=2, sort_keys=True, cls=NpEncoder)
diff --git a/lib/model.py b/lib/model.py
index 5000caa..ea89a4e 100644
--- a/lib/model.py
+++ b/lib/model.py
@@ -793,6 +793,11 @@ class PTAModel(AnalyticModel):
         pta = self.pta
         if pta is None:
             pta = PTA(self.states, parameters=self._parameter_names)
+            logger.warning(
+                "to_json: self.pta is None. Transitions will have incorrect origin/destination states."
+            )
+            for transition in self.transitions:
+                pta.add_transition("UNINITIALIZED", "UNINITIALIZED", transition)
         pta.update(
             param_info, static_error=static_quality, function_error=analytic_quality
         )