Extract oral role graph wording

tools/prompt_smoke.py

@@ -802,6 +802,89 @@ def smoke_pov_outercourse_position_routes() -> None:
             _expect(term in prompt, f"{name} Krea prompt missing {term!r}: {prompt}")
 
 
+def smoke_pov_oral_position_routes() -> None:
+    cases = [
+        (
+            "pov_oral_kneeling",
+            "kneeling",
+            ("viewer's penis", "takes the viewer's penis in her mouth"),
+            ("takes the viewer's penis in her mouth", "viewer stands over her"),
+        ),
+        (
+            "pov_oral_face_sitting",
+            "face_sitting",
+            ("straddling the viewer's face", "pussy directly over the viewer's mouth"),
+            ("straddling the viewer's face", "tongue contact visible"),
+        ),
+        (
+            "pov_oral_sixty_nine",
+            "sixty_nine",
+            ("head-to-hips", "viewer's mouth on woman a's pussy"),
+            ("head-to-hips", "viewer's mouth on the woman's pussy"),
+        ),
+        (
+            "pov_oral_edge_supported",
+            "edge_supported",
+            ("raised edge with thighs open", "viewer kneels between her legs"),
+            ("raised edge with thighs open", "viewer kneels between her legs"),
+        ),
+        (
+            "pov_oral_side_lying",
+            "side_lying",
+            ("woman a lies on her side", "viewer lies beside her hips"),
+            ("woman lies on her side", "viewer lies beside her hips"),
+        ),
+        (
+            "pov_oral_chair",
+            "chair_oral",
+            ("viewer sits in a chair", "kneels between his thighs"),
+            ("viewer sits in a chair", "kneels between the viewer's thighs"),
+        ),
+    ]
+    for offset, (name, position_key, role_terms, krea_terms) in enumerate(cases, start=3701):
+        pair = pb.build_insta_of_pair(
+            row_number=1,
+            start_index=1,
+            seed=offset,
+            ethnicity="any",
+            figure="random",
+            no_plus_women=False,
+            no_black=False,
+            trigger=Trigger,
+            prepend_trigger_to_prompt=True,
+            options_json=_insta_options(
+                softcore_camera_mode="from_camera_config",
+                hardcore_camera_mode="from_camera_config",
+                camera_detail="compact",
+            ),
+            character_cast=_character_cast(pov_man=True),
+            hardcore_position_config=_position_filter("oral_only", "oral", [position_key]),
+            location_config=_coworking_location_config(),
+            hardcore_camera_config=_orbit_camera(
+                horizontal_angle=45,
+                vertical_angle=0,
+                zoom=7.5,
+                subject_focus="action",
+            ),
+        )
+        _expect_pair(pair, name)
+        hard_row = pair.get("hardcore_row") or {}
+        _expect(hard_row.get("action_family") == "oral", f"{name} action_family should be oral")
+        _expect(hard_row.get("position_family") == "oral", f"{name} position_family should be oral")
+        _expect(position_key in (hard_row.get("position_keys") or []), f"{name} lost position key {position_key!r}")
+        role_graph = _expect_text(f"{name}.source_role_graph", hard_row.get("source_role_graph"), 40).lower()
+        for term in role_terms:
+            _expect(term in role_graph, f"{name} role graph missing {term!r}: {role_graph}")
+        krea = krea_formatter.format_krea2_prompt("", metadata_json=_json(pair), target="hardcore")
+        prompt = _expect_text(f"{name}.krea_prompt", krea.get("krea_prompt"), 60).lower()
+        _expect("metadata" in krea.get("method", ""), f"{name}.krea did not use metadata")
+        _expect("viewer" in prompt and "first-person" in prompt, f"{name} Krea prompt lost POV wording")
+        _expect("viewer lies on the viewer" not in prompt, f"{name} Krea prompt kept recursive POV wording: {prompt}")
+        _expect("camera:" not in krea.get("krea_prompt", ""), f"{name} Krea prompt emitted normal third-person camera directive")
+        for term in krea_terms:
+            _expect(term in prompt, f"{name} Krea prompt missing {term!r}: {prompt}")
+
+
 def smoke_no_expression_fallback() -> None:
     cast = pb.build_character_slot_json(
         subject_type="woman",
@@ -934,6 +1017,7 @@ SMOKE_CASES: list[tuple[str, Callable[[], None]]] = [
     ("pov_camera_scene", smoke_pov_camera_scene),
     ("krea_pov_penetration_route", smoke_krea_pov_penetration_route),
     ("pov_outercourse_position_routes", smoke_pov_outercourse_position_routes),
+    ("pov_oral_position_routes", smoke_pov_oral_position_routes),
     ("expression_disabled", smoke_no_expression_fallback),
     ("formatter_metadata_fixtures", smoke_formatter_metadata_fixtures),
 ]