LMStudio と Ollama の翻訳バックエンドを追加・統合。

- config: SELECTABLE_/SELECTED_ の LMStudio/Ollama 項目と LMSTUDIO_URL を追加。
- Controller: LMStudio/Ollama の認証チェック、URL取得/設定、モデル一覧取得/設定のエンドポイントを実装。
- Model/Translator: LMStudio/Ollama 用の認証・モデル一覧・モデル設定・クライアント更新メソッドを追加し、翻訳処理の選択肢に対応。
- translation_* クライアント: 各クライアントでのプロンプト読み込み処理を共通化し、translation_utils.loadPromptConfig を利用するようにリファクタ。
- translation_languages: LMStudio/Ollama 用の言語マッピングを追加。

src-python/models/translation/translation_lmstudio.py

@@ -1,8 +1,14 @@
 from openai import OpenAI
 from langchain_openai import ChatOpenAI
 from pydantic import SecretStr
-import yaml
-from os import path as os_path
+
+try:
+    from .translation_utils import loadPromptConfig
+except Exception:
+    import sys
+    from os import path as os_path
+    sys.path.append(os_path.dirname(os_path.dirname(os_path.dirname(os_path.abspath(__file__)))))
+    from translation_utils import loadPromptConfig
 
 def _authentication_check(api_key: str, base_url: str | None = None) -> bool:
     """Check if the provided API key is valid by attempting to list models.
@@ -27,22 +33,6 @@ def _get_available_text_models(api_key: str, base_url: str | None = None) -> lis
     allowed_models.sort()
     return allowed_models
 
-def _load_prompt_config(root_path: str = None) -> dict:
-    prompt_filename = "translation_lmstudio.yml"
-    # PyInstaller 展開後
-    if root_path and os_path.exists(os_path.join(root_path, "_internal", "prompt", prompt_filename)):
-        prompt_path = os_path.join(root_path, "_internal", "prompt", prompt_filename)
-    # src-python 直下実行
-    elif os_path.exists(os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)):
-        prompt_path = os_path.join(os_path.dirname(__file__), "models", "translation", "prompt", prompt_filename)
-    # translation フォルダ直下実行
-    elif os_path.exists(os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)):
-        prompt_path = os_path.join(os_path.dirname(__file__), "prompt", prompt_filename)
-    else:
-        raise FileNotFoundError(f"Prompt file not found: {prompt_filename}")
-    with open(prompt_path, "r", encoding="utf-8") as f:
-        return yaml.safe_load(f)
-
 class LMStudioClient:
     """LM Studio Translation simple wrapper.
     prompt/translation_lmstudio.yml から system_prompt / supported_languages を読み込む。
@@ -52,7 +42,7 @@ class LMStudioClient:
         self.model = None
         self.base_url = base_url  # None の場合は公式エンドポイント
 
-        prompt_config = _load_prompt_config(root_path)
+        prompt_config = loadPromptConfig(root_path, "translation_lmstudio.yml")
         self.supported_languages = prompt_config["supported_languages"]
         self.prompt_template = prompt_config["system_prompt"]
 
@@ -112,13 +102,11 @@ class LMStudioClient:
         return content.strip()
 
 if __name__ == "__main__":
-    AUTH_KEY = "lm-studio"
     client = LMStudioClient(base_url="http://192.168.68.110:1234/v1")
     models = client.getModelList()
-    print(models)
-    # if models:
-    # print("Available models:", models)
-    # model = input("Select a model: ")
-    client.setModel("google/gemma-3n-e4b")
-    client.updateClient()
-    print(client.translate("こんにちは世界", "Japanese", "English"))
+    if models:
+        print("Available models:", models)
+        model = input("Select a model: ")
+        client.setModel(model)
+        client.updateClient()
+        print(client.translate("こんにちは世界", "Japanese", "English"))