Expand semi-public camera scene profiles

README.md

@@ -419,9 +419,12 @@ generic Qwen camera views do not add `phone hidden` or other phone wording.
 
 For camera-aware locations, the prompt builder also uses the translated camera
 geometry to add a location-aware framing sentence. It currently has scene
-profiles for coworking/business-office spaces and classical library/book-stack
-spaces: front/side/back views, zoom, and elevation change which desks, windows,
-partitions, bookshelves, reading tables, lamps, or aisles are kept visible. In
+profiles for coworking/business-office spaces, classical library/book-stack
+spaces, and semi-public repeating-structure locations such as hotel corridors,
+parking garages, archives, laundromats, station lockers, backstage halls, wine
+cellars, nightclub back halls, and restaurant booths. Front/side/back views,
+zoom, and elevation change which desks, windows, partitions, bookshelves,
+corridors, pillars, shelves, tables, lamps, or aisles are kept visible. In
 male-POV setups this becomes a first-person spatial description and the
 external camera sentence is suppressed.
 Rows keep the selected `scene_entry`, `location_theme`, `scene_theme`,

docs/prompt-architecture-improvement-plan.md

@@ -276,9 +276,10 @@ Already isolated:
   side-lying, and front/back group layouts.
 - camera option schema, orbit/Qwen translation, config parsing, camera
   directive text, and camera caption text live in `camera_config.py`;
-  camera-scene prose lives in `scene_camera_adapters.py`; row-level camera
-  insertion, contextual coworking composition mutation, subject-kind detection,
-  and POV suppression live in `row_camera.py`.
+  camera-scene prose and contextual scene composition mutation for coworking,
+  library, and semi-public profiles live in `scene_camera_adapters.py`;
+  row-level camera insertion, subject-kind detection, and POV suppression live
+  in `row_camera.py`.
 - shared POV slot detection, label merging/filtering, builder-side POV
   directives, source role-graph viewer replacement, and shared composition
   cleanup live in `pov_policy.py`; prompt builder and Krea POV routes delegate

docs/prompt-pool-routing-map.md

@@ -126,8 +126,8 @@ Core helper ownership:
 | `hardcore_action_metadata.py` | Source action-family and position-family metadata used by Krea2, SDXL, and caption routes. |
 | `route_metadata.py` | Shared row-level route metadata readers for normalized action family, position family/keys, and formatter hints used by Krea2, SDXL, and caption routes. |
 | `pov_policy.py` | Shared POV slot detection, POV label merging/filtering, builder POV directives, source role-graph viewer replacement, and shared POV composition cleanup used by builder and Krea2 routes. |
-| `scene_camera_adapters.py` | Location-aware camera/scene prose such as coworking lounge camera layout. |
-| `row_camera.py` | Row-level camera insertion, contextual coworking composition mutation, subject-kind detection, POV label fallback, and POV suppression of normal camera directives. |
+| `scene_camera_adapters.py` | Location-aware camera/scene prose for coworking, library, semi-public corridor/garage/archive/etc. profiles, metadata-first profile resolution, and camera-aware composition cleanup. |
+| `row_camera.py` | Row-level camera insertion, contextual scene composition mutation, subject-kind detection, POV label fallback, and POV suppression of normal camera directives. |
 | `krea_row_fields.py` | Shared Krea normal-row field extraction for item, scene, pose, expression, composition/source-composition, camera, and style used by normal and configured-cast routes. |
 | `krea_cast.py` | Shared formatter cast descriptor parsing, cast labels, cast prose, natural cast descriptor text, and label replacement used by Krea2 and caption routes. |
 | `prompt_hygiene.py` | Generic prompt, caption, and negative-prompt cleanup, including route-agnostic negative-prompt merge/dedupe. |
@@ -695,8 +695,11 @@ Current camera-aware scene adapter:
   `scene_camera_profile` objects with `key`, `family`, `layout_label`, `place`,
   `foreground`, `midground`, `background`, `detail_label`, and optional
   per-subject `composition` text.
-- Coworking/business-cafe/office scenes and classical library/book-stack scenes
-  are detected by `scene_camera_profile`.
+- Coworking/business-cafe/office scenes, classical library/book-stack scenes,
+  and semi-public repeating-structure scenes such as hotel corridors, parking
+  garages, archives, laundromats, station lockers, backstage halls, wine
+  cellars, nightclub back halls, and restaurant booths are detected by
+  `scene_camera_profile`.
 - Location themes preserve `theme` on configs and selected scene entries, and
   rows expose `location_theme`, `scene_theme`, `composition_theme`, and
   `scene_camera_profile_key` for debugging and future route rules.

scene_camera_adapters.py

@@ -110,12 +110,260 @@ SCENE_CAMERA_PROFILES: tuple[dict[str, Any], ...] = (
             "default": "classical library frame with the subjects near a bookshelf edge and long shelf depth behind them",
         },
     },
+    {
+        "key": "hotel_corridor",
+        "family": "semi_public",
+        "terms": (
+            "hotel corridor",
+            "hotel service corridor",
+            "hotel service alcove",
+            "service alcove",
+            "service hallway",
+            "service hall",
+            "repeating numbered doors",
+            "numbered doors",
+            "luggage carts",
+            "stair landing",
+            "hotel stair landing",
+        ),
+        "layout_label": "Hotel corridor camera layout",
+        "place": "hotel corridor",
+        "foreground": "nearest doorframe edge, patterned carpet line, and wall sconce",
+        "midground": "repeating numbered doors, brass wall lamps, service-alcove turns, and luggage carts",
+        "background": "long corridor perspective, closed doors, warm late-night depth, and quiet hotel sightlines",
+        "detail_label": "hotel corridor details",
+        "composition": {
+            "woman": "hotel corridor frame with the woman near a doorframe edge and repeated doors behind her",
+            "man": "hotel corridor frame with the man near a doorframe edge and repeated doors behind him",
+            "default": "hotel corridor frame with the subjects near a doorframe edge and repeated doors behind them",
+        },
+    },
+    {
+        "key": "parking_garage",
+        "family": "semi_public",
+        "terms": (
+            "parking garage",
+            "parking deck",
+            "underground garage",
+            "multi-level parking",
+            "concrete pillars",
+            "numbered pillars",
+            "painted floor lines",
+            "painted bay lines",
+            "parked cars",
+        ),
+        "layout_label": "Parking garage camera layout",
+        "place": "parking garage",
+        "foreground": "nearest concrete pillar, painted floor line, and car bumper edge",
+        "midground": "repeating concrete pillars, parked cars, painted bay lines, and glossy concrete lanes",
+        "background": "shadowed corners, fluorescent depth, numbered pillars, and long garage perspective",
+        "detail_label": "parking garage details",
+        "composition": {
+            "woman": "parking garage frame with the woman beside a concrete pillar and repeated bay lines behind her",
+            "man": "parking garage frame with the man beside a concrete pillar and repeated bay lines behind him",
+            "default": "parking garage frame with the subjects beside a concrete pillar and repeated bay lines behind them",
+        },
+    },
+    {
+        "key": "theater_backstage",
+        "family": "semi_public",
+        "terms": (
+            "theater backstage",
+            "backstage wings",
+            "cabaret backstage",
+            "prop storage",
+            "prop racks",
+            "costume racks",
+            "costume rails",
+            "velvet curtains",
+            "stage ropes",
+            "scenery flats",
+        ),
+        "layout_label": "Backstage camera layout",
+        "place": "theater backstage",
+        "foreground": "curtain edge, prop trunk corner, and costume-rack line",
+        "midground": "layered velvet curtains, costume racks, prop shelves, and vanity bulb mirrors",
+        "background": "dark stage wings, repeated scenery flats, narrow backstage passages, and warm light spill",
+        "detail_label": "backstage details",
+        "composition": {
+            "woman": "backstage frame with the woman partly framed by curtains and costume racks behind her",
+            "man": "backstage frame with the man partly framed by curtains and costume racks behind him",
+            "default": "backstage frame with the subjects partly framed by curtains and costume racks behind them",
+        },
+    },
+    {
+        "key": "wine_cellar",
+        "family": "semi_public",
+        "terms": (
+            "wine cellar",
+            "wine storage",
+            "bottle racks",
+            "bottle shelves",
+            "arched cellar",
+            "brick niches",
+            "cellar corridor",
+            "stacked bottle",
+        ),
+        "layout_label": "Wine cellar camera layout",
+        "place": "wine cellar",
+        "foreground": "near bottle-rack edge, crate corner, and stone floor line",
+        "midground": "repeating bottle racks, arched brick niches, narrow aisles, and low amber lamps",
+        "background": "cool shadowed depth, stacked shelves, cellar arches, and secluded rack rows",
+        "detail_label": "wine cellar details",
+        "composition": {
+            "woman": "wine cellar frame with the woman between bottle racks and arched cellar depth behind her",
+            "man": "wine cellar frame with the man between bottle racks and arched cellar depth behind him",
+            "default": "wine cellar frame with the subjects between bottle racks and arched cellar depth behind them",
+        },
+    },
+    {
+        "key": "museum_archive",
+        "family": "semi_public",
+        "terms": (
+            "museum archive",
+            "gallery storage",
+            "rare-books archive",
+            "archive room",
+            "storage shelves",
+            "labeled boxes",
+            "rolling shelves",
+            "catalog drawers",
+            "compact shelving",
+        ),
+        "layout_label": "Archive camera layout",
+        "place": "museum archive",
+        "foreground": "storage-shelf edge, archive box corner, and work-table line",
+        "midground": "labeled boxes, rolling shelves, frame racks, catalog drawers, and long work tables",
+        "background": "compact shelving rows, soft overhead lights, archival aisles, and hidden storage depth",
+        "detail_label": "archive details",
+        "composition": {
+            "woman": "archive frame with the woman beside labeled storage shelves and compact rows behind her",
+            "man": "archive frame with the man beside labeled storage shelves and compact rows behind him",
+            "default": "archive frame with the subjects beside labeled storage shelves and compact rows behind them",
+        },
+    },
+    {
+        "key": "laundromat_late_night",
+        "family": "semi_public",
+        "terms": (
+            "laundromat",
+            "coin laundry",
+            "washing machines",
+            "stacked dryers",
+            "washer-door",
+            "washer door",
+            "folding tables",
+            "detergent shelves",
+            "machine row",
+        ),
+        "layout_label": "Laundromat camera layout",
+        "place": "late-night laundromat",
+        "foreground": "folding-table edge, chrome washer door, and tiled floor line",
+        "midground": "repeating washing machines, stacked dryers, detergent shelves, and empty machine rows",
+        "background": "cool fluorescent depth, mirrored machine doors, front glass, and quiet back-corner sightlines",
+        "detail_label": "laundromat details",
+        "composition": {
+            "woman": "laundromat frame with the woman near a folding table and repeated washer doors behind her",
+            "man": "laundromat frame with the man near a folding table and repeated washer doors behind him",
+            "default": "laundromat frame with the subjects near a folding table and repeated washer doors behind them",
+        },
+    },
+    {
+        "key": "train_station_lockers",
+        "family": "semi_public",
+        "terms": (
+            "train-station locker",
+            "train station locker",
+            "locker corridor",
+            "station underpass",
+            "station service passage",
+            "metal lockers",
+            "vending machines",
+            "tiled walls",
+            "utility doors",
+            "warning stripes",
+        ),
+        "layout_label": "Station locker camera layout",
+        "place": "train-station locker corridor",
+        "foreground": "locker edge, vending-machine corner, and tiled floor line",
+        "midground": "repeating metal lockers, tiled wall seams, poster frames, and utility doors",
+        "background": "fluorescent underpass depth, stair railings, warning stripes, and hidden side alcoves",
+        "detail_label": "station locker details",
+        "composition": {
+            "woman": "station locker frame with the woman beside metal lockers and tiled depth behind her",
+            "man": "station locker frame with the man beside metal lockers and tiled depth behind him",
+            "default": "station locker frame with the subjects beside metal lockers and tiled depth behind them",
+        },
+    },
+    {
+        "key": "nightclub_back_hall",
+        "family": "semi_public",
+        "terms": (
+            "nightclub back hallway",
+            "club vip corridor",
+            "vip club corridor",
+            "music venue greenroom",
+            "greenroom corridor",
+            "coat-check racks",
+            "neon strips",
+            "velvet ropes",
+            "mirrored wall panels",
+            "stickered doors",
+        ),
+        "layout_label": "Nightclub back-hall camera layout",
+        "place": "nightclub back hallway",
+        "foreground": "black door edge, velvet-rope post, and mirrored wall strip",
+        "midground": "repeated dark doors, neon strips, coat-check racks, mirrored panels, and booth edges",
+        "background": "distant colored dance-floor light, dim practical lamps, cable cases, and narrow hallway depth",
+        "detail_label": "nightclub back-hall details",
+        "composition": {
+            "woman": "nightclub back-hall frame with the woman near a dark door edge and neon hallway depth behind her",
+            "man": "nightclub back-hall frame with the man near a dark door edge and neon hallway depth behind him",
+            "default": "nightclub back-hall frame with the subjects near a dark door edge and neon hallway depth behind them",
+        },
+    },
+    {
+        "key": "restaurant_private_booth",
+        "family": "semi_public",
+        "terms": (
+            "restaurant private booth",
+            "private booth",
+            "bistro back corner",
+            "after-hours dining",
+            "afterhours dining",
+            "high banquettes",
+            "dark wood partitions",
+            "folded napkins",
+            "stacked chairs",
+            "small round tables",
+        ),
+        "layout_label": "Restaurant booth camera layout",
+        "place": "restaurant private booth",
+        "foreground": "table edge, high banquette back, and dark wood partition",
+        "midground": "repeating table lamps, folded napkins, mirrored wall panels, and empty tables",
+        "background": "after-hours dining-room depth, stacked chairs, service doorway, and secluded sightlines",
+        "detail_label": "restaurant booth details",
+        "composition": {
+            "woman": "restaurant booth frame with the woman beside a high banquette and table lamps behind her",
+            "man": "restaurant booth frame with the man beside a high banquette and table lamps behind him",
+            "default": "restaurant booth frame with the subjects beside a high banquette and table lamps behind them",
+        },
+    },
 )
 
 SCENE_CAMERA_PROFILE_KEYS = {str(profile["key"]): dict(profile) for profile in SCENE_CAMERA_PROFILES}
 
 THEME_PROFILE_KEYS = {
     "classical_library": "classical_library",
+    "hotel_corridor": "hotel_corridor",
+    "parking_garage": "parking_garage",
+    "theater_backstage": "theater_backstage",
+    "wine_cellar": "wine_cellar",
+    "museum_archive": "museum_archive",
+    "laundromat_late_night": "laundromat_late_night",
+    "train_station_lockers": "train_station_lockers",
+    "nightclub_back_hall": "nightclub_back_hall",
+    "restaurant_private_booth": "restaurant_private_booth",
 }
 
 PROFILE_TEXT_FIELDS = (
@@ -348,7 +596,7 @@ def coworking_location_profile(scene_text: Any) -> dict[str, str]:
     return scene_camera_profile("coworking lounge")
 
 
-def coworking_subject_terms(subject_kind: str, pov_labels: list[str] | None = None) -> tuple[str, str]:
+def scene_subject_terms(subject_kind: str, pov_labels: list[str] | None = None) -> tuple[str, str]:
     if pov_labels:
         return "the visible partner", "them"
     if subject_kind == "woman":
@@ -360,6 +608,10 @@ def coworking_subject_terms(subject_kind: str, pov_labels: list[str] | None = No
     return "the subjects", "them"
 
 
+def coworking_subject_terms(subject_kind: str, pov_labels: list[str] | None = None) -> tuple[str, str]:
+    return scene_subject_terms(subject_kind, pov_labels)
+
+
 def scene_direction_detail(
     direction: str,
     profile: dict[str, str],
@@ -371,7 +623,7 @@ def scene_direction_detail(
     midground = profile["midground"]
     background = profile["background"]
     detail_label = profile.get("detail_label") or "location details"
-    subject, pronoun = coworking_subject_terms(subject_kind, pov_labels)
+    subject, pronoun = scene_subject_terms(subject_kind, pov_labels)
     if pov_labels:
         if "right side" in direction:
             return f"{subject} is in right-side profile; {midground} run behind {pronoun} toward {background}, with {detail_label} kept at the frame edges"
@@ -411,7 +663,7 @@ def scene_distance_detail(
     pov_labels: list[str] | None = None,
 ) -> str:
     distance = str(distance or "").strip().lower()
-    subject, _pronoun = coworking_subject_terms(subject_kind, pov_labels)
+    subject, _pronoun = scene_subject_terms(subject_kind, pov_labels)
     if pov_labels:
         if "wide" in distance or "full-body" in distance or "full body" in distance:
             return f"wide POV keeps {subject} readable with {profile['place']} context behind them"
@@ -441,7 +693,7 @@ def scene_elevation_detail(
     pov_labels: list[str] | None = None,
 ) -> str:
     elevation = str(elevation or "").strip().lower()
-    subject, pronoun = coworking_subject_terms(subject_kind, pov_labels)
+    subject, pronoun = scene_subject_terms(subject_kind, pov_labels)
     if pov_labels:
         if "low-angle" in elevation:
             return f"low angle keeps POV body cues low while the {profile['background']} rises behind {pronoun}"
@@ -494,13 +746,13 @@ def scene_camera_directive(
     direction_detail = scene_direction_detail(direction, profile, pov_labels, subject_kind)
     distance_detail = scene_distance_detail(distance, profile, subject_kind, pov_labels)
     elevation_detail = scene_elevation_detail(elevation, profile, subject_kind, pov_labels)
-    if pov_labels:
-        return (
-            f"{profile['layout_label']} from POV: {direction_detail}. "
-            f"{distance_detail}; {elevation_detail}; use the multiangle camera only as first-person spatial geometry."
-        )
     geometry = camera_geometry_phrase(parsed, compact_labels)
     geometry_clause = f" ({geometry})" if geometry else ""
+    if pov_labels:
+        return (
+            f"{profile['layout_label']} from POV{geometry_clause}: {direction_detail}. "
+            f"{distance_detail}; {elevation_detail}; use the multiangle camera only as first-person spatial geometry."
+        )
     return (
         f"{profile['layout_label']}{geometry_clause}: {direction_detail}; "
         f"{distance_detail}; {elevation_detail}."

tools/prompt_smoke.py

@@ -406,10 +406,14 @@ def _coworking_location_config() -> str:
 
 
 def _classical_library_theme_configs() -> tuple[str, str]:
+    return _thematic_location_configs("classical_library")
+
+
+def _thematic_location_configs(theme: str) -> tuple[str, str]:
     location_config, composition_config, _summary = pb.build_thematic_location_json(
         enabled=True,
         combine_mode="replace",
-        theme="classical_library",
+        theme=theme,
     )
     return location_config, composition_config
 
@@ -694,6 +698,39 @@ def smoke_row_camera_policy() -> None:
     _expect("bag" not in library_composition.lower(), "row camera library composition leaked bag wording")
     _expect("shoes" not in library_composition.lower(), "row camera library composition leaked shoes wording")
     _expect("library" in library_composition.lower(), "row camera library composition did not become location-aware")
+    semi_public_row = {
+        "prompt": "A generated adult prompt. Composition: vertical polished mirror view with bag and shoes visible. Avoid: low quality.",
+        "caption": "sxcppnl7, generated adult prompt, polished mirror view with bag and shoes visible, illustration",
+        "scene_text": "upscale hotel corridor with repeating numbered doors, patterned carpet, brass wall lamps, luggage carts, and a secluded corner near a service alcove",
+        "scene_entry": {
+            "slug": "hotel_corridor_affair",
+            "prompt": "upscale hotel corridor with repeating numbered doors, patterned carpet, brass wall lamps, luggage carts, and a secluded corner near a service alcove",
+            "theme": "semi_public_affair",
+        },
+        "scene_theme": "semi_public_affair",
+        "composition": "polished mirror view with bag and shoes visible",
+        "subject_type": "configured_cast",
+        "women_count": 1,
+        "men_count": 1,
+        "pov_character_labels": ["Man A"],
+    }
+    updated_semi_public = row_camera.apply_camera_config(
+        semi_public_row,
+        _orbit_camera(horizontal_angle=180, vertical_angle=30, zoom=7.5),
+        compact_labels=pb.CAMERA_COMPACT_LABELS,
+    )
+    semi_public_scene = _expect_text("row_camera_policy.semi_public_scene", updated_semi_public.get("camera_scene_directive"), 40)
+    semi_public_composition = _expect_text(
+        "row_camera_policy.semi_public_composition",
+        updated_semi_public.get("composition"),
+        20,
+    )
+    _expect("Hotel corridor camera layout from POV" in semi_public_scene, "row camera semi-public scene did not use hotel corridor profile")
+    _expect("back view" in semi_public_scene, "row camera semi-public scene missed orbit direction")
+    _expect("first-person spatial geometry" in semi_public_scene, "row camera semi-public POV scene lost first-person geometry")
+    _expect(updated_semi_public.get("scene_camera_profile_key") == "hotel_corridor", "row camera semi-public scene did not expose text-matched profile key")
+    _expect("hotel corridor" in semi_public_composition.lower(), "row camera semi-public composition did not become location-aware")
+    _expect("bag" not in semi_public_composition.lower() and "shoes" not in semi_public_composition.lower(), "row camera semi-public composition leaked outfit-check props")
     metadata_profile_row = {
         "prompt": "A generated adult prompt. Composition: vertical polished mirror view with bag and shoes visible. Avoid: low quality.",
         "caption": "sxcppnl7, generated adult prompt, polished mirror view with bag and shoes visible, illustration",
@@ -870,6 +907,42 @@ def smoke_config_route_location_theme() -> None:
     _expect("315-degree front-left quarter view" in prompt, "Krea config route lost camera directive")
     _expect_formatter_outputs(row, "config_route_location_theme", target="single")
 
+    parking_location_config, parking_composition_config = _thematic_location_configs("parking_garage")
+    parking_row = pb.build_prompt_from_configs(
+        row_number=1,
+        start_index=1,
+        seed=3311,
+        category_config=pb.build_category_config_json("woman", "random"),
+        cast_config=pb.build_cast_config_json("solo_woman", 1, 0),
+        generation_profile=pb.build_generation_profile_json(profile="balanced"),
+        camera_config=_orbit_camera(
+            horizontal_angle=135,
+            vertical_angle=-30,
+            zoom=4.0,
+            subject_focus="environment",
+        ),
+        location_config=parking_location_config,
+        composition_config=parking_composition_config,
+    )
+    _expect_row_base(parking_row, "config_route_location_theme.parking")
+    parking_scene = _expect_text("config_route_location_theme.parking_scene", parking_row.get("scene_text"), 20)
+    parking_composition = _expect_text("config_route_location_theme.parking_composition", parking_row.get("composition"), 10)
+    parking_directive = _expect_text(
+        "config_route_location_theme.parking_camera_scene_directive",
+        parking_row.get("camera_scene_directive"),
+        40,
+    )
+    parking_profile = parking_row.get("scene_camera_profile") if isinstance(parking_row.get("scene_camera_profile"), dict) else {}
+    _expect("parking" in parking_scene.lower() or "garage" in parking_scene.lower(), "parking theme did not drive scene")
+    _expect("parking" in parking_composition.lower() or "garage" in parking_composition.lower() or "pillar" in parking_composition.lower(), "parking theme did not drive composition")
+    _expect(parking_row.get("location_theme") == "parking_garage", "parking location theme did not survive")
+    _expect(parking_row.get("scene_theme") == "parking_garage", "parking scene theme did not survive")
+    _expect(parking_row.get("scene_camera_profile_key") == "parking_garage", "parking theme did not expose camera profile key")
+    _expect(parking_profile.get("family") == "semi_public", "parking camera profile family should be semi_public")
+    _expect("Parking garage camera layout" in parking_directive, "parking theme did not drive camera-scene adapter")
+    _expect("back-right quarter view" in parking_directive, "parking camera-scene adapter missed orbit direction")
+    _expect("low-angle shot" in parking_directive, "parking camera-scene adapter missed elevation")
+
 
 def smoke_builder_prompt_route_policy() -> None:
     def legacy_from_request(request: builder_prompt_route.PromptBuildRequest) -> dict[str, Any]: