Remove pronouns from character helper

README.md

@@ -28,10 +28,10 @@
   - Reads back the seven optional images for a selected MiniMax H3 plan scene, for example by connecting the current `clip_index`.
 
 - `Dumas Character Helper`
-  - Inputs: `image1`, `image2`, `image1_picture_id`, `image2_picture_id`, `character_id`, `name`, `alias`, `pronouns`, `age`, `nationality`, `occupation`, `height_feet`, `height_inches`, `accent`, `general`
+  - Inputs: `image1`, `image2`, `image1_picture_id`, `image2_picture_id`, `character_id`, `name`, `alias`, `age`, `nationality`, `occupation`, `height_feet`, `height_inches`, `accent`, `general`
   - Outputs: `image1`, `image2`, `character_text`
   - Passes both images through unchanged and builds a character reference string such as `<Picture 2> and <Picture 3> reference the same character who is called Dave.`
-  - Appends optional sentences for non-visual facts such as ID, alias, pronouns, age, nationality, occupation, height, accent, and freeform notes only when those fields are valid and filled in.
+  - Appends optional sentences for non-visual facts such as ID, alias, age, nationality, occupation, height, accent, and freeform notes only when those fields are valid and filled in.
 
 - `Dumas JSON String to Object`
   - Input: `json_string`

dumas_image_nodes.py

@@ -316,7 +316,6 @@ def _build_character_helper_text(
     character_id,
     name,
     alias,
-    pronouns,
     age,
     nationality,
     occupation,
@@ -330,7 +329,6 @@ def _build_character_helper_text(
     character_name = _normalize_free_text(name)
     character_id = _normalize_free_text(character_id)
     alias = _normalize_free_text(alias)
-    pronouns = _normalize_free_text(pronouns)
     nationality = _normalize_free_text(nationality)
     occupation = _normalize_free_text(occupation)
     accent = _normalize_free_text(accent)
@@ -366,9 +364,6 @@ def _build_character_helper_text(
     if alias:
         lines.append(f"{character_label} is also known as {alias}.")
 
-    if pronouns:
-        lines.append(f"{character_label} uses {pronouns} pronouns.")
-
     if age_value is not None:
         lines.append(f"{character_label} is {age_value} years old.")
 
@@ -853,14 +848,6 @@ class DumasCharacterHelperNode:
                         "tooltip": "Optional alternate name, codename, or nickname.",
                     },
                 ),
-                "pronouns": (
-                    "STRING",
-                    {
-                        "default": "",
-                        "multiline": False,
-                        "tooltip": "Optional pronouns such as he/him or she/her.",
-                    },
-                ),
                 "age": (
                     "STRING",
                     {
@@ -927,7 +914,6 @@ class DumasCharacterHelperNode:
         character_id,
         name,
         alias,
-        pronouns,
         age,
         nationality,
         occupation,
@@ -942,7 +928,6 @@ class DumasCharacterHelperNode:
             character_id,
             name,
             alias,
-            pronouns,
             age,
             nationality,
             occupation,

tests/test_dumas_image_nodes.py

@@ -252,7 +252,6 @@ class DumasImageNodeTests(unittest.TestCase):
             character_id="char_dave",
             name="Dave",
             alias="The Locksmith",
-            pronouns="he/him",
             age="41",
             nationality="English",
             occupation="a detective",
@@ -272,7 +271,6 @@ class DumasImageNodeTests(unittest.TestCase):
                 "<Picture 3> is a frontal facial reference for Dave.\n"
                 'The character ID string is "char_dave".\n'
                 "Dave is also known as The Locksmith.\n"
-                "Dave uses he/him pronouns.\n"
                 "Dave is 41 years old.\n"
                 "Dave is English.\n"
                 "Dave works as a detective.\n"
@@ -295,7 +293,6 @@ class DumasImageNodeTests(unittest.TestCase):
             character_id="",
             name="",
             alias="",
-            pronouns="",
             age="unknown",
             nationality="",
             occupation="",