Merge branch 'ui_add_new_translation_engines' into develop

This commit is contained in:
Sakamoto Shiina
2025-11-25 13:42:58 +09:00
19 changed files with 326 additions and 60 deletions

View File

@@ -527,6 +527,19 @@ def _compute_device_validator(val, inst):
return copy.deepcopy(val)
return None
def _allowed_in_populated(list_attr_name: str):
def _inner(value, inst):
try:
lst = getattr(inst, list_attr_name)
except Exception:
return True # インスタンス状態取得失敗時も弾かない
if not lst: # 空/未初期化
return True
if value is None:
return True
return value in lst
return _inner
class Config:
"""Application configuration singleton.
@@ -558,8 +571,16 @@ class Config:
return cls._instance
def saveConfigToFile(self) -> None:
# 永続化対象を descriptor 情報 (json_serializable_vars) から再構成
filtered = {}
for var_name, var_func in json_serializable_vars.items():
try:
filtered[var_name] = var_func(self)
except Exception:
pass
self._config_data = filtered
with open(self.PATH_CONFIG, "w", encoding="utf-8") as fp:
json_dump(self._config_data, fp, indent=4, ensure_ascii=False)
json_dump(filtered, fp, indent=4, ensure_ascii=False)
def saveConfig(self, key: str, value: Any, immediate_save: bool = False) -> None:
self._config_data[key] = value
@@ -601,12 +622,12 @@ class Config:
# Read Write
# --- Simple boolean flags (managed by descriptor) ---
ENABLE_TRANSLATION = ManagedProperty('ENABLE_TRANSLATION', type_=bool)
ENABLE_TRANSCRIPTION_SEND = ManagedProperty('ENABLE_TRANSCRIPTION_SEND', type_=bool)
ENABLE_TRANSCRIPTION_RECEIVE = ManagedProperty('ENABLE_TRANSCRIPTION_RECEIVE', type_=bool)
ENABLE_FOREGROUND = ManagedProperty('ENABLE_FOREGROUND', type_=bool)
ENABLE_CHECK_ENERGY_SEND = ManagedProperty('ENABLE_CHECK_ENERGY_SEND', type_=bool)
ENABLE_CHECK_ENERGY_RECEIVE = ManagedProperty('ENABLE_CHECK_ENERGY_RECEIVE', type_=bool)
ENABLE_TRANSLATION = ManagedProperty('ENABLE_TRANSLATION', type_=bool, serialize=False)
ENABLE_TRANSCRIPTION_SEND = ManagedProperty('ENABLE_TRANSCRIPTION_SEND', type_=bool, serialize=False)
ENABLE_TRANSCRIPTION_RECEIVE = ManagedProperty('ENABLE_TRANSCRIPTION_RECEIVE', type_=bool, serialize=False)
ENABLE_FOREGROUND = ManagedProperty('ENABLE_FOREGROUND', type_=bool, serialize=False)
ENABLE_CHECK_ENERGY_SEND = ManagedProperty('ENABLE_CHECK_ENERGY_SEND', type_=bool, serialize=False)
ENABLE_CHECK_ENERGY_RECEIVE = ManagedProperty('ENABLE_CHECK_ENERGY_RECEIVE', type_=bool, serialize=False)
# --- Selectable dict/list properties (managed by descriptor, not serialized) ---
# These are dynamically generated in init_config() based on installed packages/APIs
@@ -711,11 +732,11 @@ class Config:
USE_EXCLUDE_WORDS = ManagedProperty('USE_EXCLUDE_WORDS', type_=bool)
CTRANSLATE2_WEIGHT_TYPE = ManagedProperty('CTRANSLATE2_WEIGHT_TYPE', type_=str, allowed=lambda v, inst: v in inst.SELECTABLE_CTRANSLATE2_WEIGHT_TYPE_LIST)
WHISPER_WEIGHT_TYPE = ManagedProperty('WHISPER_WEIGHT_TYPE', type_=str, allowed=lambda v, inst: v in inst.SELECTABLE_WHISPER_WEIGHT_TYPE_LIST)
SELECTED_PLAMO_MODEL = ManagedProperty('SELECTED_PLAMO_MODEL', type_=str, allowed=lambda v, inst: v in inst.SELECTABLE_PLAMO_MODEL_LIST)
SELECTED_GEMINI_MODEL = ManagedProperty('SELECTED_GEMINI_MODEL', type_=str, allowed=lambda v, inst: v in inst.SELECTABLE_GEMINI_MODEL_LIST)
SELECTED_OPENAI_MODEL = ManagedProperty('SELECTED_OPENAI_MODEL', type_=str, allowed=lambda v, inst: v in inst.SELECTABLE_OPENAI_MODEL_LIST)
SELECTED_LMSTUDIO_MODEL = ManagedProperty('SELECTED_LMSTUDIO_MODEL', type_=str, allowed=lambda v, inst: v in inst.SELECTABLE_LMSTUDIO_MODEL_LIST)
SELECTED_OLLAMA_MODEL = ManagedProperty('SELECTED_OLLAMA_MODEL', type_=str, allowed=lambda v, inst: v in inst.SELECTABLE_OLLAMA_MODEL_LIST)
SELECTED_PLAMO_MODEL = ManagedProperty('SELECTED_PLAMO_MODEL', type_=str, allowed=_allowed_in_populated('SELECTABLE_PLAMO_MODEL_LIST'))
SELECTED_GEMINI_MODEL = ManagedProperty('SELECTED_GEMINI_MODEL', type_=str, allowed=_allowed_in_populated('SELECTABLE_GEMINI_MODEL_LIST'))
SELECTED_OPENAI_MODEL = ManagedProperty('SELECTED_OPENAI_MODEL', type_=str, allowed=_allowed_in_populated('SELECTABLE_OPENAI_MODEL_LIST'))
SELECTED_LMSTUDIO_MODEL = ManagedProperty('SELECTED_LMSTUDIO_MODEL', type_=str, allowed=_allowed_in_populated('SELECTABLE_LMSTUDIO_MODEL_LIST'))
SELECTED_OLLAMA_MODEL = ManagedProperty('SELECTED_OLLAMA_MODEL', type_=str, allowed=_allowed_in_populated('SELECTABLE_OLLAMA_MODEL_LIST'))
# --- Translation and language settings ---
MIC_WORD_FILTER = ValidatedProperty('MIC_WORD_FILTER', _mic_word_filter_validator)
@@ -1006,15 +1027,44 @@ class Config:
self._config_data = json_load(fp)
for key, value in self._config_data.items():
# 読み込み時: serialize=True かつ readonlyでない Descriptor のみ反映。
# 未知キーDescriptorなしは無視して注入を防止。
try:
setattr(self, key, value)
descriptor = getattr(type(self), key, None)
if isinstance(descriptor, ManagedProperty):
if descriptor.readonly or not descriptor.serialize:
continue
setattr(self, key, value)
elif isinstance(descriptor, ValidatedProperty):
if not descriptor.serialize:
continue
setattr(self, key, value)
else:
# 不明キーは破棄(古い/不要/改竄の可能性)
continue
except Exception:
errorLogging()
self.saveConfigToFile()
with open(self.PATH_CONFIG, 'w', encoding="utf-8") as fp:
for var_name, var_func in json_serializable_vars.items():
self._config_data[var_name] = var_func(self)
json_dump(self._config_data, fp, indent=4, ensure_ascii=False)
def revalidate_selected_models(self):
pairs = [
('SELECTED_PLAMO_MODEL', 'SELECTABLE_PLAMO_MODEL_LIST'),
('SELECTED_GEMINI_MODEL', 'SELECTABLE_GEMINI_MODEL_LIST'),
('SELECTED_OPENAI_MODEL', 'SELECTABLE_OPENAI_MODEL_LIST'),
('SELECTED_LMSTUDIO_MODEL', 'SELECTABLE_LMSTUDIO_MODEL_LIST'),
('SELECTED_OLLAMA_MODEL', 'SELECTABLE_OLLAMA_MODEL_LIST'),
]
for sel_attr, list_attr in pairs:
try:
current = getattr(self, sel_attr)
lst = getattr(self, list_attr)
if lst and current is not None and current not in lst:
if len(lst) > 0:
setattr(self, sel_attr, lst[0])
else:
setattr(self, sel_attr, None)
except Exception:
errorLogging()
# Auto-register all descriptors after Config class definition
_auto_register_descriptors()

View File

@@ -1900,6 +1900,9 @@ class Controller:
}
return response
def getTranslatorLMStudioConnection(self, *args, **kwargs) -> dict:
return {"status":200, "result":model.getTranslatorLMStudioConnected()}
def checkTranslatorLMStudioConnection(self, *args, **kwargs) -> dict:
printLog("Check Translator LMStudio Connection")
translator_name = "LMStudio"
@@ -1909,10 +1912,12 @@ class Controller:
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[translator_name] = True
config.SELECTABLE_LMSTUDIO_MODEL_LIST = model.getTranslatorLMStudioModelList()
self.run(200, self.run_mapping["selectable_lmstudio_model_list"], config.SELECTABLE_LMSTUDIO_MODEL_LIST)
if len(config.SELECTABLE_LMSTUDIO_MODEL_LIST) == 0:
raise Exception("No LMStudio models available")
if config.SELECTED_LMSTUDIO_MODEL not in config.SELECTABLE_LMSTUDIO_MODEL_LIST:
config.SELECTED_LMSTUDIO_MODEL = config.SELECTABLE_LMSTUDIO_MODEL_LIST[0]
model.setTranslatorLMStudioModel(model=config.SELECTED_LMSTUDIO_MODEL)
self.run(200, self.run_mapping["selected_lmstudio_model"], config.SELECTED_LMSTUDIO_MODEL)
model.setTranslatorLMStudioModel(model=config.SELECTED_LMSTUDIO_MODEL)
self.run(200, self.run_mapping["selected_lmstudio_model"], config.SELECTED_LMSTUDIO_MODEL)
model.updateTranslatorLMStudioClient()
self.updateTranslationEngineAndEngineList()
response = {"status":200, "result":True}
@@ -1935,6 +1940,10 @@ class Controller:
}
return response
def getConnectedLMStudio(self, *args, **kwargs) -> dict:
is_connected = model.getTranslatorLMStudioConnectedStatus()
return {"status":200, "result": is_connected}
def getTranslatorLMStudioURL(self, *args, **kwargs) -> dict:
return {"status":200, "result":config.LMSTUDIO_URL}
@@ -1949,10 +1958,12 @@ class Controller:
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[translator_name] = True
config.SELECTABLE_LMSTUDIO_MODEL_LIST = model.getTranslatorLMStudioModelList()
self.run(200, self.run_mapping["selectable_lmstudio_model_list"], config.SELECTABLE_LMSTUDIO_MODEL_LIST)
if len(config.SELECTABLE_LMSTUDIO_MODEL_LIST) == 0:
raise Exception("No LMStudio models available")
if config.SELECTED_LMSTUDIO_MODEL not in config.SELECTABLE_LMSTUDIO_MODEL_LIST:
config.SELECTED_LMSTUDIO_MODEL = config.SELECTABLE_LMSTUDIO_MODEL_LIST[0]
model.setTranslatorLMStudioModel(model=config.SELECTED_LMSTUDIO_MODEL)
self.run(200, self.run_mapping["selected_lmstudio_model"], config.SELECTED_LMSTUDIO_MODEL)
model.setTranslatorLMStudioModel(model=config.SELECTED_LMSTUDIO_MODEL)
self.run(200, self.run_mapping["selected_lmstudio_model"], config.SELECTED_LMSTUDIO_MODEL)
model.updateTranslatorLMStudioClient()
self.updateTranslationEngineAndEngineList()
response = {"status":200, "result":config.LMSTUDIO_URL}
@@ -2011,6 +2022,9 @@ class Controller:
}
return response
def getTranslatorOllamaConnection(self, *args, **kwargs) -> dict:
return {"status":200, "result":model.getTranslatorOllamaConnected()}
def checkTranslatorOllamaConnection(self, *args, **kwargs) -> dict:
printLog("Check Translator Ollama Connection")
translator_name = "Ollama"
@@ -2020,10 +2034,12 @@ class Controller:
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[translator_name] = True
config.SELECTABLE_OLLAMA_MODEL_LIST = model.getTranslatorOllamaModelList()
self.run(200, self.run_mapping["selectable_ollama_model_list"], config.SELECTABLE_OLLAMA_MODEL_LIST)
if len(config.SELECTABLE_OLLAMA_MODEL_LIST) == 0:
raise Exception("No Ollama models available")
if config.SELECTED_OLLAMA_MODEL not in config.SELECTABLE_OLLAMA_MODEL_LIST:
config.SELECTED_OLLAMA_MODEL = config.SELECTABLE_OLLAMA_MODEL_LIST[0]
model.setTranslatorOllamaModel(model=config.SELECTED_OLLAMA_MODEL)
self.run(200, self.run_mapping["selected_ollama_model"], config.SELECTED_OLLAMA_MODEL)
model.setTranslatorOllamaModel(model=config.SELECTED_OLLAMA_MODEL)
self.run(200, self.run_mapping["selected_ollama_model"], config.SELECTED_OLLAMA_MODEL)
model.updateTranslatorOllamaClient()
self.updateTranslationEngineAndEngineList()
response = {"status":200, "result":True}
@@ -2957,13 +2973,13 @@ class Controller:
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = False
if config.AUTH_KEYS[engine] is not None:
if model.authenticationTranslatorPlamoAuthKey(auth_key=config.AUTH_KEYS[engine]) is True:
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
printLog("Plamo API Key is valid")
config.SELECTABLE_PLAMO_MODEL_LIST = model.getTranslatorPlamoModelList()
if config.SELECTED_PLAMO_MODEL not in config.SELECTABLE_PLAMO_MODEL_LIST:
config.SELECTED_PLAMO_MODEL = config.SELECTABLE_PLAMO_MODEL_LIST[0]
model.setTranslatorPlamoModel(config.SELECTED_PLAMO_MODEL)
model.updateTranslatorPlamoClient()
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
printLog("Plamo API Key is valid")
else:
# error update Auth key
auth_keys = config.AUTH_KEYS
@@ -2975,13 +2991,13 @@ class Controller:
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = False
if config.AUTH_KEYS[engine] is not None:
if model.authenticationTranslatorGeminiAuthKey(auth_key=config.AUTH_KEYS[engine]) is True:
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
printLog("Gemini API Key is valid")
config.SELECTABLE_GEMINI_MODEL_LIST = model.getTranslatorGeminiModelList()
if config.SELECTED_GEMINI_MODEL not in config.SELECTABLE_GEMINI_MODEL_LIST:
config.SELECTED_GEMINI_MODEL = config.SELECTABLE_GEMINI_MODEL_LIST[0]
model.setTranslatorGeminiModel(config.SELECTED_GEMINI_MODEL)
model.updateTranslatorGeminiClient()
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
printLog("Gemini API Key is valid")
else:
# error update Auth key
auth_keys = config.AUTH_KEYS
@@ -2993,13 +3009,13 @@ class Controller:
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = False
if config.AUTH_KEYS[engine] is not None:
if model.authenticationTranslatorOpenAIAuthKey(auth_key=config.AUTH_KEYS[engine]) is True:
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
printLog("OpenAI API Key is valid")
config.SELECTABLE_OPENAI_MODEL_LIST = model.getTranslatorOpenAIModelList()
if config.SELECTED_OPENAI_MODEL not in config.SELECTABLE_OPENAI_MODEL_LIST:
config.SELECTED_OPENAI_MODEL = config.SELECTABLE_OPENAI_MODEL_LIST[0]
model.setTranslatorOpenAIModel(config.SELECTED_OPENAI_MODEL)
model.updateTranslatorOpenAIClient()
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
printLog("OpenAI API Key is valid")
else:
# error update Auth key
auth_keys = config.AUTH_KEYS
@@ -3007,30 +3023,36 @@ class Controller:
config.AUTH_KEYS = auth_keys
printLog("OpenAI API Key is invalid")
case "LMStudio":
printLog("Start check LMStudio API Key")
printLog("Start check LMStudio Server")
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = False
if config.LMSTUDIO_URL is not None:
if model.authenticationTranslatorLMStudio(base_url=config.LMSTUDIO_URL) is True:
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
printLog("LMStudio URL is valid")
config.SELECTABLE_LMSTUDIO_MODEL_LIST = model.getTranslatorLMStudioModelList()
if len(config.SELECTABLE_LMSTUDIO_MODEL_LIST) == 0:
printLog("LMStudio model list is empty")
break
if config.SELECTED_LMSTUDIO_MODEL not in config.SELECTABLE_LMSTUDIO_MODEL_LIST:
config.SELECTED_LMSTUDIO_MODEL = config.SELECTABLE_LMSTUDIO_MODEL_LIST[0]
model.setTranslatorLMStudioModel(config.SELECTED_LMSTUDIO_MODEL)
model.updateTranslatorLMStudioClient()
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
printLog("LMStudio is available")
else:
printLog("LMStudio is not available")
case "Ollama":
printLog("Start check Ollama API Key")
printLog("Start check Ollama Server")
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = False
if model.authenticationTranslatorOllama() is True:
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
printLog("Ollama is available")
config.SELECTABLE_OLLAMA_MODEL_LIST = model.getTranslatorOllamaModelList()
if len(config.SELECTABLE_OLLAMA_MODEL_LIST) == 0:
printLog("Ollama model list is empty")
break
if config.SELECTED_OLLAMA_MODEL not in config.SELECTABLE_OLLAMA_MODEL_LIST:
config.SELECTED_OLLAMA_MODEL = config.SELECTABLE_OLLAMA_MODEL_LIST[0]
model.setTranslatorOllamaModel(config.SELECTED_OLLAMA_MODEL)
model.updateTranslatorOllamaClient()
config.SELECTABLE_TRANSLATION_ENGINE_STATUS[engine] = True
printLog("Ollama is available")
else:
printLog("Ollama is not available")
case _:
@@ -3126,6 +3148,9 @@ class Controller:
model.stopWebSocketServer()
printLog("WebSocket server host or port is not available")
printLog("Revalidate Selected Models")
config.revalidate_selected_models()
printLog("Update settings")
self.updateConfigSettings()

View File

@@ -207,6 +207,7 @@ mapping = {
"/set/data/openai_auth_key": {"status": True, "variable":controller.setOpenAIAuthKey},
"/delete/data/openai_auth_key": {"status": True, "variable":controller.delOpenAIAuthKey},
"/get/data/connected_lmstudio": {"status": True, "variable":controller.getTranslatorLMStudioConnection},
"/run/lmstudio_connection": {"status": True, "variable":controller.checkTranslatorLMStudioConnection},
"/get/data/selectable_lmstudio_model_list": {"status": True, "variable":controller.getTranslatorLStudioModelList},
"/get/data/selected_lmstudio_model": {"status": True, "variable":controller.getTranslatorLMStudioModel},
@@ -214,6 +215,7 @@ mapping = {
"/get/data/lmstudio_url": {"status": True, "variable":controller.getTranslatorLMStudioURL},
"/set/data/lmstudio_url": {"status": True, "variable":controller.setTranslatorLMStudioURL},
"/get/data/connected_ollama": {"status": True, "variable":controller.getTranslatorOllamaConnection},
"/run/ollama_connection": {"status": True, "variable":controller.checkTranslatorOllamaConnection},
"/get/data/selectable_ollama_model_list": {"status": True, "variable":controller.getTranslatorOllamaModelList},
"/get/data/selected_ollama_model": {"status": True, "variable":controller.getTranslatorOllamaModel},

View File

@@ -249,6 +249,10 @@ class Model:
self.ensure_initialized()
self.translator.updateOpenAIClient()
def getTranslatorLMStudioConnected(self) -> bool:
self.ensure_initialized()
return self.translator.getLMStudioConnected()
def authenticationTranslatorLMStudio(self, base_url: str) -> bool:
result = self.translator.setLMStudioClientURL(base_url=base_url, root_path=config.PATH_LOCAL)
return result
@@ -265,6 +269,10 @@ class Model:
self.ensure_initialized()
self.translator.updateLMStudioClient()
def getTranslatorOllamaConnected(self) -> bool:
self.ensure_initialized()
return self.translator.getOllamaConnected()
def authenticationTranslatorOllama(self) -> bool:
result = self.translator.checkOllamaClient(root_path=config.PATH_LOCAL)
return result

View File

@@ -1,6 +1,6 @@
from openai import OpenAI
from langchain_openai import ChatOpenAI
from pydantic import SecretStr
import requests
try:
from .translation_languages import translation_lang
@@ -8,33 +8,35 @@ try:
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_languages import translation_lang
sys.path.append(os_path.dirname(os_path.abspath(__file__)))
from translation_languages import translation_lang, loadTranslationLanguages
from translation_utils import loadPromptConfig
loadTranslationLanguages(path=".", force=True)
def _authentication_check(api_key: str, base_url: str | None = None) -> bool:
def _authentication_check(base_url: str | None = None) -> bool:
"""Check if the provided API key is valid by attempting to list models.
"""
try:
client = OpenAI(api_key=api_key, base_url=base_url)
client.models.list()
return True
response = requests.get(f"{base_url}/models", timeout=0.2)
if response.status_code == 200:
return True
else:
return False
except Exception:
return False
def _get_available_text_models(api_key: str, base_url: str | None = None) -> list[str]:
def _get_available_text_models(base_url: str | None = None) -> list[str]:
"""Extract the list of available text models from the LM Studio.
"""
try:
client = OpenAI(api_key=api_key, base_url=base_url)
res = client.models.list()
models = res.data
response = requests.get(f"{base_url}/models", timeout=0.2)
models = response.json()["data"]
except Exception:
models = []
allowed_models = []
for model in models:
allowed_models.append(model.id)
allowed_models.append(model["id"])
allowed_models.sort()
return allowed_models
@@ -58,13 +60,13 @@ class LMStudioClient:
return self.base_url
def setBaseURL(self, base_url: str | None) -> None:
result = _authentication_check(api_key=self.api_key, base_url=base_url)
result = _authentication_check(base_url=base_url)
if result:
self.base_url = base_url
return result
def getModelList(self) -> list[str]:
return _get_available_text_models(api_key=self.api_key, base_url=self.base_url) if self.base_url else []
return _get_available_text_models(base_url=self.base_url) if self.base_url else []
def getModel(self) -> str:
return self.model
@@ -108,7 +110,7 @@ class LMStudioClient:
return content.strip()
if __name__ == "__main__":
client = LMStudioClient(base_url="http://192.168.68.110:1234/v1")
client = LMStudioClient(base_url="http://127.0.0.1:1234/v1")
models = client.getModelList()
if models:
print("Available models:", models)

View File

@@ -7,15 +7,16 @@ try:
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_languages import translation_lang
sys.path.append(os_path.dirname(os_path.abspath(__file__)))
from translation_languages import translation_lang, loadTranslationLanguages
from translation_utils import loadPromptConfig
loadTranslationLanguages(path=".", force=True)
def _authentication_check(base_url: str | None = None) -> bool:
"""Check authentication for Ollama API.
"""
try:
response = requests.get(f"{base_url}")
response = requests.get(f"{base_url}", timeout=0.2)
if response.status_code == 200:
return True
else:

View File

@@ -176,6 +176,16 @@ class Translator:
"""Update the OpenAI client (fetch available models)."""
self.openai_client.updateClient()
def getLMStudioConnected(self) -> bool:
"""Get LM Studio connection status.
Returns True if connected, False otherwise.
"""
if self.lmstudio_client is None:
return False
else:
return True
def setLMStudioClientURL(self, base_url: str | None = None, root_path: str = None) -> bool:
"""Authenticate LM Studio with the provided base URL.
@@ -207,6 +217,16 @@ class Translator:
"""Update the LM Studio client (fetch available models)."""
self.lmstudio_client.updateClient()
def getOllamaConnected(self) -> bool:
"""Get Ollama connection status.
Returns True if connected, False otherwise.
"""
if self.ollama_client is None:
return False
else:
return True
def checkOllamaClient(self, root_path: str = None) -> bool:
"""Check if Ollama client is available.

View File

@@ -2,6 +2,7 @@ import { useI18n } from "@useI18n";
import {
useNotificationStatus,
useLLMConnection,
} from "@logics_common";
import {
@@ -46,6 +47,11 @@ export const _useBackendErrorHandling = () => {
updateWebsocketPort,
} = useAdvancedSettings();
const {
updateIsOllamaConnected,
updateIsLMStudioConnected,
} = useLLMConnection();
const errorHandling_Backend = ({message, data, endpoint, result}) => {
switch (endpoint) {
case "/run/error_device":
@@ -221,6 +227,18 @@ export const _useBackendErrorHandling = () => {
}
return;
case "/run/lmstudio_connection":
updateIsLMStudioConnected(data);
showNotification_Error(message);
console.error(message);
return;
case "/run/ollama_connection":
updateIsOllamaConnected(data);
showNotification_Error(message);
console.error(message);
return;
default:
console.error(`Invalid endpoint or message: ${endpoint}\nmessage: ${message}\nresult: ${JSON.stringify(result)}`);
return;

View File

@@ -14,4 +14,5 @@ export { useHandleNetworkConnection } from "./useHandleNetworkConnection";
export { useHandleOscQuery } from "./useHandleOscQuery";
export { useIsOscAvailable } from "./useIsOscAvailable";
export { useIsVrctAvailable } from "./useIsVrctAvailable";
export { useFetch } from "./useFetch";
export { useFetch } from "./useFetch";
export { useLLMConnection } from "./useLLMConnection";

View File

@@ -0,0 +1,47 @@
import { useStdoutToPython } from "@useStdoutToPython";
import {
useStore_IsLMStudioConnected,
useStore_IsOllamaConnected,
} from "@store";
export const useLLMConnection = () => {
const { asyncStdoutToPython } = useStdoutToPython();
const {
currentIsLMStudioConnected,
updateIsLMStudioConnected,
pendingIsLMStudioConnected,
} = useStore_IsLMStudioConnected();
const {
currentIsOllamaConnected,
updateIsOllamaConnected,
pendingIsOllamaConnected,
} = useStore_IsOllamaConnected();
const checkConnection_LMStudio = () => {
pendingIsLMStudioConnected();
asyncStdoutToPython("/run/lmstudio_connection");
};
const setConnectionStatus_LMStudio = (is_connected) => {
updateIsLMStudioConnected(is_connected);
};
const checkConnection_Ollama = () => {
pendingIsOllamaConnected();
asyncStdoutToPython("/run/ollama_connection");
};
const setConnectionStatus_Ollama = (is_connected) => {
updateIsOllamaConnected(is_connected);
};
return {
currentIsLMStudioConnected,
updateIsLMStudioConnected,
setConnectionStatus_LMStudio,
checkConnection_LMStudio,
currentIsOllamaConnected,
updateIsOllamaConnected,
setConnectionStatus_Ollama,
checkConnection_Ollama,
};
};

View File

@@ -167,6 +167,8 @@ export const { atomInstance: Atom_NotificationStatus, useHook: useStore_Notifica
key: 0,
message: "",
}, "NotificationStatus");
export const { atomInstance: Atom_IsLMStudioConnected, useHook: useStore_IsLMStudioConnected } = createAtomWithHook(false, "IsLMStudioConnected");
export const { atomInstance: Atom_IsOllamaConnected, useHook: useStore_IsOllamaConnected } = createAtomWithHook(false, "IsOllamaConnected");
// Main Page
// Common

View File

@@ -101,12 +101,17 @@ export const getPluginsList = () => {
if (IS_PLUGIN_PATH_DEV_MODE || IS_PLUGIN_LIST_URL_DEV_MODE) console.warn("ui_configs IS_PLUGIN_PATH_DEV_MODE or IS_PLUGIN_LIST_URL_DEV_MODE is true. Turn to 'false' when it's production environment.");
export const translator_status = [
{ id: "DeepL", label: "DeepL", is_available: false },
{ id: "DeepL_API", label: `DeepL API`, is_available: false },
{ id: "CTranslate2", label: `AI\nCTranslate2`, is_available: false, is_default: true },
{ id: "Google", label: "Google", is_available: false },
{ id: "Bing", label: "Bing", is_available: false },
{ id: "Papago", label: "Papago", is_available: false },
{ id: "CTranslate2", label: `AI\nCTranslate2`, is_available: false, is_default: true },
{ id: "DeepL", label: "DeepL", is_available: false },
{ id: "DeepL_API", label: `DeepL API`, is_available: false },
{ id: "Plamo_API", label: `Plamo API`, is_available: false },
{ id: "Gemini_API", label: `Gemini API`, is_available: false },
{ id: "OpenAI_API", label: `OpenAI API`, is_available: false },
{ id: "LMStudio", label: `LMStudio`, is_available: false },
{ id: "Ollama", label: `Ollama`, is_available: false },
];
export const ctranslate2_weight_type_status = [

View File

@@ -20,6 +20,12 @@ export const STATIC_ROUTE_META_LIST = [
{ endpoint: "/run/open_filepath_logs", ns: common, hook_name: "useOpenFolder", method_name: "openedFolder_MessageLogs" },
{ endpoint: "/run/open_filepath_config_file", ns: common, hook_name: "useOpenFolder", method_name: "openedFolder_ConfigFile" },
{ endpoint: "/get/data/connected_lmstudio", ns: common, hook_name: "useLLMConnection", method_name: "setConnectionStatus_LMStudio" },
{ endpoint: "/run/lmstudio_connection", ns: common, hook_name: "useLLMConnection", method_name: "setConnectionStatus_LMStudio" },
{ endpoint: "/get/data/connected_ollama", ns: common, hook_name: "useLLMConnection", method_name: "setConnectionStatus_Ollama" },
{ endpoint: "/run/ollama_connection", ns: common, hook_name: "useLLMConnection", method_name: "setConnectionStatus_Ollama" },
// Software Version
{ endpoint: "/get/data/version", ns: common, hook_name: "useSoftwareVersion", method_name: "updateSoftwareVersion" },
// Latest Software Version Info

View File

@@ -0,0 +1,19 @@
import styles from "./ConnectionCheckButton.module.scss";
export const ConnectionCheckButton = (props) => {
const label = props.state === "pending"
? "Checking... 🌀"
: props.variable === true
? "Connected ✅"
: "Disconnected ❌";
return (
<div className={styles.container}>
<p>{label}</p>
<p>{`UI Status: ${props.state}`}</p>
<button className={styles.button_wrapper} onClick={props.checkFunction}>
<p className={styles.button_label}>Connection Check</p>
</button>
</div>
);
};

View File

@@ -0,0 +1,15 @@
.button_wrapper {
padding: 1.6rem;
border-radius: 0.4rem;
&:hover {
background-color: var(--dark_825_color);
}
&:active {
background-color: var(--dark_900_color);
}
}
.button_svg {
width: 2.4rem;
color: var(--dark_400_color);
}

View File

@@ -13,4 +13,5 @@ export { SwitchBox } from "./switch_box/SwitchBox";
export { ThresholdComponent } from "./threshold_component/ThresholdComponent";
export { WordFilter, WordFilterListToggleComponent } from "./word_filter/WordFilter";
export { DownloadModels } from "./download_models/DownloadModels";
export { MessageFormat } from "./message_format/MessageFormat";
export { MessageFormat } from "./message_format/MessageFormat";
export { ConnectionCheckButton } from "./connection_check_button/ConnectionCheckButton";

View File

@@ -19,6 +19,7 @@ import {
WordFilterListToggleComponent,
DownloadModels,
MessageFormat,
ConnectionCheckButton,
} from "../_components";
import { Checkbox } from "@common_components";
@@ -181,6 +182,10 @@ export const DownloadModelsContainer = (props) => (
<CommonContainer Component={DownloadModels} {...props} />
);
export const ConnectionCheckButtonContainer = (props) => (
<CommonContainer Component={ConnectionCheckButton} {...props} />
);
export const MessageFormatContainer = (props) => {
return (
<>

View File

@@ -17,6 +17,7 @@ import {
EntryWithSaveButtonContainer,
RadioButtonContainer,
DropdownMenuContainer,
ConnectionCheckButtonContainer,
useOnMouseLeaveDropdownMenu,
} from "../_templates/Templates";
@@ -25,9 +26,11 @@ import {
DropdownMenu,
MultiDropdownMenu,
LabelComponent,
ConnectionCheckButton,
} from "../_components";
import { deepl_auth_key_url } from "@ui_configs";
import { useLLMConnection } from "@logics_common";
export const Translation = () => {
return (
@@ -46,9 +49,11 @@ export const Translation = () => {
<OpenAIAuthKey_Box />
<OpenAIModelContainer />
<LMStudioConnectionCheck_Box />
<LMStudioURL_Box />
<LMStudioModelContainer />
<OllamaConnectionCheck_Box />
<OllamaModelContainer />
</>
);
@@ -422,6 +427,23 @@ const OpenAIModelContainer = () => {
const LMStudioConnectionCheck_Box = () => {
const { t } = useI18n();
const { currentIsLMStudioConnected, checkConnection_LMStudio } = useLLMConnection();
return (
<>
<ConnectionCheckButtonContainer
label="Check LM Studio Connection"
variable={currentIsLMStudioConnected.data}
state={currentIsLMStudioConnected.state}
checkFunction={checkConnection_LMStudio}
remove_border_bottom={true}
// width="10rem"
/>
</>
);
};
const LMStudioURL_Box = () => {
const { t } = useI18n();
const { currentLMStudioURL, setLMStudioURL, deleteLMStudioURL } = useTranslation();
@@ -475,6 +497,23 @@ const LMStudioModelContainer = () => {
);
};
const OllamaConnectionCheck_Box = () => {
const { t } = useI18n();
const { currentIsOllamaConnected, checkConnection_Ollama } = useLLMConnection();
return (
<>
<ConnectionCheckButtonContainer
label="Check Ollama Connection"
variable={currentIsOllamaConnected.data}
state={currentIsOllamaConnected.state}
checkFunction={checkConnection_Ollama}
remove_border_bottom={true}
// width="10rem"
/>
</>
);
};
const OllamaModelContainer = () => {
const { t } = useI18n();
const {

View File

@@ -8,6 +8,7 @@
display: flex;
justify-content: center;
align-items: center;
overflow-y: auto;
}
.relative_container {
@@ -17,8 +18,7 @@
}
.wrapper {
width: 100%;
height: 100%;
padding: 2rem 0;
display: flex;
flex-direction: column;
justify-content: center;