Identify the legacy envelope sensitivity model

app/data_services.py

@@ -2026,9 +2026,6 @@ def workflow_model(workflow: WorkflowSpec, *, root: Path) -> dict[str, Any]:
             if not path.is_file():
                 continue
             config = yaml.safe_load(path.read_text(encoding="utf-8")) or {}
-            if workflow.id == "envelope-sens":
-                path = path.parent / config["ggv_config"]
-                config = yaml.safe_load(path.read_text(encoding="utf-8")) or {}
             dofs.add(int(config.get("model_dof", config.get("generation", {}).get("model_dof", 3))))
     fidelity = workflow.fidelity
     if dofs:

app/registry.py

@@ -1095,7 +1095,7 @@ def build_workflows() -> tuple[WorkflowSpec, ...]:
         ),
         WorkflowSpec(
             id="envelope-sens",
-            engine="DynPy",
+            engine="Legacy envelope",
             fidelity="QSS",
             runtime="Python",
             group="opt",

app/static/app.js

@@ -5628,7 +5628,7 @@ function studyDescription(workflow) {
     ymd: "Beta and steer sweeps for yaw moment authority.",
     "vehicle-review": "Report-ready vehicle, envelope, and rubric coverage.",
     "standard-sens": "Modelica DOE around the standard simulation model.",
-    "envelope-sens": "Fast reduced-order sensitivity sweep for envelope metrics.",
+    "envelope-sens": "Legacy capacity-model sensitivity sweep for envelope metrics.",
   }[workflow?.id] || workflow?.config?.path || "";
 }
 
@@ -5656,7 +5656,7 @@ function studyWorkflowGuide(workflow) {
     },
     "envelope-sens": {
       title: "Envelope Sensitivity",
-      copy: "The sampler defines a reduced-order sensitivity study of envelope settings.",
+      copy: "This study uses the legacy tire-capacity and yaw models, not DynPy or its selected DOF.",
       steps: ["Vehicle selected", "Sampler settings", "Study evaluation"],
     },
   }[workflow?.id] || {

docs/simulation-entrypoints.md

@@ -132,7 +132,7 @@ When publishing results, use the workflow name or fidelity level in figure capti
 Sensitivity and design-of-experiments (DOE) runs sweep parameters across **any** of the above simulators:
 
 - `StandardSens`: sweeps StandardSim studies (VehicleSim/FourPostSim)
-- `EnvelopeSens`: sweeps EnvelopeSim outputs (GGV/YMD generation)
+- `EnvelopeSens`: sweeps the legacy capacity and yaw models. It does not use DynPy or the DOF selected for GGV/YMD.
 - `opt-standard`, `opt-envelope`, `opt-refined`: DOE targets using the sensitivity layer
 
 See [doe-reverse-engineering.md](doe-reverse-engineering.md) for details.

optimization/envelope/_pipeline/sensitivity.py

@@ -208,9 +208,9 @@ def envelope_scope_table(config_path: Path = ENVELOPE_CONFIG) -> pd.DataFrame:
                 "label": str(var.get("label", path)),
                 "included": included,
                 "reason": (
-                    "represented by the quasi-static EnvelopeSim reduced model"
+                    "represented by the legacy envelope capacity model"
                     if included
-                    else "excluded: not represented by the current EnvelopeSim reduced model"
+                    else "excluded: not represented by the legacy envelope capacity model"
                 ),
             }
         )

tests/test_app_shell.py

@@ -2110,3 +2110,13 @@ def test_result_series_carries_known_units_without_guessing_unknown_channels(tmp
                                         signals=['accY', 'roll', 'yawVel', 'custom'])
     assert payload['x_unit'] == 's'
     assert [series['unit'] for series in payload['series']] == ['m/s²', 'rad', 'rad/s', None]
+
+
+def test_envelope_sensitivity_identifies_legacy_model(tmp_path: Path) -> None:
+    workflow = next(item for item in app.WORKFLOWS if item.id == "envelope-sens")
+    from app.data_services import workflow_model
+
+    model = workflow_model(workflow, root=tmp_path)
+    assert model["engine"] == "Legacy envelope"
+    assert model["model_dofs"] == []
+    assert model["fidelity"] == "QSS"