""" Tool_OCR - Translation Service (RESERVED) Abstract interface and stub implementation for future translation feature """ from abc import ABC, abstractmethod from typing import Dict, Optional, List from enum import Enum import logging logger = logging.getLogger(__name__) class TranslationEngine(str, Enum): """Supported translation engines""" OFFLINE = "offline" # Argos Translate (offline) ERNIE = "ernie" # Baidu ERNIE API GOOGLE = "google" # Google Translate API DEEPL = "deepl" # DeepL API class LanguageCode(str, Enum): """Supported language codes""" CHINESE = "zh" ENGLISH = "en" JAPANESE = "ja" KOREAN = "ko" FRENCH = "fr" GERMAN = "de" SPANISH = "es" class TranslationServiceInterface(ABC): """ Abstract interface for translation services This interface defines the contract for all translation engine implementations. Future implementations should inherit from this class. """ @abstractmethod def translate_text( self, text: str, source_lang: str, target_lang: str, **kwargs ) -> str: """ Translate a single text string Args: text: Text to translate source_lang: Source language code target_lang: Target language code **kwargs: Engine-specific parameters Returns: str: Translated text """ pass @abstractmethod def translate_document( self, markdown_content: str, source_lang: str, target_lang: str, preserve_structure: bool = True, **kwargs ) -> Dict[str, any]: """ Translate a Markdown document while preserving structure Args: markdown_content: Markdown content to translate source_lang: Source language code target_lang: Target language code preserve_structure: Whether to preserve markdown structure **kwargs: Engine-specific parameters Returns: Dict containing: - translated_content: Translated markdown - metadata: Translation metadata (engine, time, etc.) """ pass @abstractmethod def batch_translate( self, texts: List[str], source_lang: str, target_lang: str, **kwargs ) -> List[str]: """ Translate multiple texts in batch Args: texts: List of texts to translate source_lang: Source language code target_lang: Target language code **kwargs: Engine-specific parameters Returns: List[str]: List of translated texts """ pass @abstractmethod def get_supported_languages(self) -> List[str]: """ Get list of supported language codes for this engine Returns: List[str]: List of supported language codes """ pass @abstractmethod def validate_config(self) -> bool: """ Validate engine configuration (API keys, model files, etc.) Returns: bool: True if configuration is valid """ pass class TranslationEngineFactory: """ Factory for creating translation engine instances RESERVED: This is a placeholder for future implementation. When translation feature is implemented, this factory will instantiate the appropriate translation engine based on configuration. """ @staticmethod def create_engine( engine_type: TranslationEngine, config: Optional[Dict] = None ) -> TranslationServiceInterface: """ Create a translation engine instance Args: engine_type: Type of translation engine config: Engine-specific configuration Returns: TranslationServiceInterface: Translation engine instance Raises: NotImplementedError: Always raised (stub implementation) """ raise NotImplementedError( "Translation feature is not yet implemented. " "This is a reserved placeholder for future development." ) @staticmethod def get_available_engines() -> List[str]: """ Get list of available translation engines Returns: List[str]: List of engine types (currently empty) """ return [] @staticmethod def is_engine_available(engine_type: TranslationEngine) -> bool: """ Check if a specific engine is available Args: engine_type: Engine type to check Returns: bool: Always False (stub implementation) """ return False class StubTranslationService: """ Stub translation service for API endpoints This service provides placeholder responses for translation endpoints until the feature is fully implemented. """ @staticmethod def get_feature_status() -> Dict[str, any]: """ Get translation feature status Returns: Dict with feature status information """ return { "available": False, "status": "reserved", "message": "Translation feature is reserved for future implementation", "supported_engines": [], "planned_engines": [ { "type": "offline", "name": "Argos Translate", "description": "Offline neural translation", "status": "planned" }, { "type": "ernie", "name": "Baidu ERNIE", "description": "Baidu AI translation API", "status": "planned" }, { "type": "google", "name": "Google Translate", "description": "Google Cloud Translation API", "status": "planned" }, { "type": "deepl", "name": "DeepL", "description": "DeepL translation API", "status": "planned" } ], "roadmap": { "phase": "Phase 5", "priority": "low", "implementation_after": "Production deployment and user feedback" } } @staticmethod def get_supported_languages() -> List[Dict[str, str]]: """ Get list of languages planned for translation support Returns: List of language info dicts """ return [ {"code": "zh", "name": "Chinese (Simplified)", "status": "planned"}, {"code": "en", "name": "English", "status": "planned"}, {"code": "ja", "name": "Japanese", "status": "planned"}, {"code": "ko", "name": "Korean", "status": "planned"}, {"code": "fr", "name": "French", "status": "planned"}, {"code": "de", "name": "German", "status": "planned"}, {"code": "es", "name": "Spanish", "status": "planned"}, ] # Example placeholder for future engine implementations: # # class ArgosTranslationEngine(TranslationServiceInterface): # """Offline translation using Argos Translate""" # def __init__(self, model_path: str): # self.model_path = model_path # # Initialize Argos models # # def translate_text(self, text, source_lang, target_lang, **kwargs): # # Implementation here # pass # # class ERNIETranslationEngine(TranslationServiceInterface): # """Baidu ERNIE API translation""" # def __init__(self, api_key: str, api_secret: str): # self.api_key = api_key # self.api_secret = api_secret # # def translate_text(self, text, source_lang, target_lang, **kwargs): # # Implementation here # pass