Centralize item axis value flattening

caption_text_policy.py

@@ -7,6 +7,7 @@ try:
     from . import caption_metadata_routes
     from . import caption_policy
     from . import formatter_input as input_policy
+    from . import item_axis_policy
     from . import krea_cast as cast_policy
     from . import route_metadata as route_metadata_policy
     from . import softcore_text_policy
@@ -14,6 +15,7 @@ except ImportError:  # Allows local smoke tests with `python -c`.
     import caption_metadata_routes
     import caption_policy
     import formatter_input as input_policy
+    import item_axis_policy
     import krea_cast as cast_policy
     import route_metadata as route_metadata_policy
     import softcore_text_policy
@@ -97,49 +99,12 @@ def metadata_action_label(row: dict[str, Any], default: str = "sexual pose") ->
     return caption_policy.metadata_action_label(row, default)
 
 
-def _axis_value_texts(value: Any) -> list[str]:
-    if isinstance(value, str):
-        text = clean_text(value).strip(" .")
-        return [text] if text and text.lower() not in ("any", "auto", "random", "none") else []
-    if isinstance(value, (int, float, bool)) or value is None:
-        return []
-    if isinstance(value, list):
-        texts: list[str] = []
-        for item in value:
-            texts.extend(_axis_value_texts(item))
-        return texts
-    if isinstance(value, dict):
-        for preferred in ("text", "prompt", "template", "value", "name"):
-            preferred_texts = _axis_value_texts(value.get(preferred))
-            if preferred_texts:
-                return preferred_texts
-        texts: list[str] = []
-        for item in value.values():
-            texts.extend(_axis_value_texts(item))
-        return texts
-    return []
-
-
 def item_axis_detail_text(row: dict[str, Any], existing_text: str = "") -> str:
-    if not isinstance(row, dict):
-        return ""
-    axis_values = row.get("item_axis_values")
-    if not isinstance(axis_values, dict):
-        return ""
-    existing = clean_text(existing_text).lower()
-    details: list[str] = []
-    seen: set[str] = set()
-    skipped_keys = {"action_family", "position_family", "position_key", "position_keys"}
-    for key, value in axis_values.items():
-        if str(key) in skipped_keys:
-            continue
-        for text in _axis_value_texts(value):
-            normalized = clean_text(text).strip(" .")
-            lower = normalized.lower()
-            if not normalized or lower in seen or lower in existing:
-                continue
-            details.append(normalized)
-            seen.add(lower)
+    details = item_axis_policy.row_axis_value_texts(
+        row,
+        skip_keys=item_axis_policy.METADATA_AXIS_KEYS,
+        existing_text=existing_text,
+    )
     return human_join(details)