refactor: complete V1 to V2 migration and remove legacy architecture
Remove all V1 architecture components and promote V2 to primary: - Delete all paddle_ocr_* table models (export, ocr, translation, user) - Delete legacy routers (auth, export, ocr, translation) - Delete legacy schemas and services - Promote user_v2.py to user.py as primary user model - Update all imports and dependencies to use V2 models only - Update main.py version to 2.0.0 Database changes: - Fix SQLAlchemy reserved word: rename audit_log.metadata to extra_data - Add migration to drop all paddle_ocr_* tables - Update alembic env to only import V2 models Frontend fixes: - Fix Select component exports in TaskHistoryPage.tsx - Update to use simplified Select API with options prop - Fix AxiosInstance TypeScript import syntax 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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"""
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Tool_OCR - Translation Service (RESERVED)
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Abstract interface and stub implementation for future translation feature
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"""
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from abc import ABC, abstractmethod
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from typing import Dict, Optional, List
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from enum import Enum
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import logging
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logger = logging.getLogger(__name__)
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class TranslationEngine(str, Enum):
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"""Supported translation engines"""
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OFFLINE = "offline" # Argos Translate (offline)
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ERNIE = "ernie" # Baidu ERNIE API
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GOOGLE = "google" # Google Translate API
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DEEPL = "deepl" # DeepL API
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class LanguageCode(str, Enum):
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"""Supported language codes"""
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CHINESE = "zh"
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ENGLISH = "en"
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JAPANESE = "ja"
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KOREAN = "ko"
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FRENCH = "fr"
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GERMAN = "de"
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SPANISH = "es"
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class TranslationServiceInterface(ABC):
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"""
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Abstract interface for translation services
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This interface defines the contract for all translation engine implementations.
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Future implementations should inherit from this class.
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"""
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@abstractmethod
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def translate_text(
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self,
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text: str,
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source_lang: str,
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target_lang: str,
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**kwargs
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) -> str:
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"""
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Translate a single text string
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Args:
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text: Text to translate
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source_lang: Source language code
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target_lang: Target language code
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**kwargs: Engine-specific parameters
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Returns:
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str: Translated text
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"""
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pass
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@abstractmethod
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def translate_document(
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self,
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markdown_content: str,
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source_lang: str,
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target_lang: str,
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preserve_structure: bool = True,
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**kwargs
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) -> Dict[str, any]:
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"""
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Translate a Markdown document while preserving structure
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Args:
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markdown_content: Markdown content to translate
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source_lang: Source language code
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target_lang: Target language code
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preserve_structure: Whether to preserve markdown structure
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**kwargs: Engine-specific parameters
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Returns:
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Dict containing:
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- translated_content: Translated markdown
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- metadata: Translation metadata (engine, time, etc.)
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"""
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pass
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@abstractmethod
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def batch_translate(
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self,
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texts: List[str],
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source_lang: str,
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target_lang: str,
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**kwargs
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) -> List[str]:
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"""
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Translate multiple texts in batch
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Args:
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texts: List of texts to translate
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source_lang: Source language code
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target_lang: Target language code
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**kwargs: Engine-specific parameters
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Returns:
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List[str]: List of translated texts
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"""
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pass
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@abstractmethod
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def get_supported_languages(self) -> List[str]:
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"""
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Get list of supported language codes for this engine
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Returns:
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List[str]: List of supported language codes
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"""
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pass
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@abstractmethod
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def validate_config(self) -> bool:
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"""
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Validate engine configuration (API keys, model files, etc.)
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Returns:
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bool: True if configuration is valid
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"""
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pass
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class TranslationEngineFactory:
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"""
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Factory for creating translation engine instances
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RESERVED: This is a placeholder for future implementation.
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When translation feature is implemented, this factory will instantiate
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the appropriate translation engine based on configuration.
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"""
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@staticmethod
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def create_engine(
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engine_type: TranslationEngine,
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config: Optional[Dict] = None
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) -> TranslationServiceInterface:
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"""
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Create a translation engine instance
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Args:
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engine_type: Type of translation engine
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config: Engine-specific configuration
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Returns:
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TranslationServiceInterface: Translation engine instance
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Raises:
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NotImplementedError: Always raised (stub implementation)
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"""
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raise NotImplementedError(
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"Translation feature is not yet implemented. "
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"This is a reserved placeholder for future development."
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)
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@staticmethod
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def get_available_engines() -> List[str]:
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"""
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Get list of available translation engines
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Returns:
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List[str]: List of engine types (currently empty)
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"""
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return []
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@staticmethod
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def is_engine_available(engine_type: TranslationEngine) -> bool:
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"""
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Check if a specific engine is available
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Args:
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engine_type: Engine type to check
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Returns:
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bool: Always False (stub implementation)
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"""
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return False
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class StubTranslationService:
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"""
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Stub translation service for API endpoints
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This service provides placeholder responses for translation endpoints
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until the feature is fully implemented.
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"""
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@staticmethod
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def get_feature_status() -> Dict[str, any]:
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"""
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Get translation feature status
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Returns:
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Dict with feature status information
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"""
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return {
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"available": False,
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"status": "reserved",
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"message": "Translation feature is reserved for future implementation",
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"supported_engines": [],
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"planned_engines": [
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{
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"type": "offline",
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"name": "Argos Translate",
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"description": "Offline neural translation",
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"status": "planned"
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},
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{
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"type": "ernie",
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"name": "Baidu ERNIE",
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"description": "Baidu AI translation API",
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"status": "planned"
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},
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{
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"type": "google",
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"name": "Google Translate",
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"description": "Google Cloud Translation API",
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"status": "planned"
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},
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{
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"type": "deepl",
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"name": "DeepL",
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"description": "DeepL translation API",
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"status": "planned"
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}
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],
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"roadmap": {
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"phase": "Phase 5",
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"priority": "low",
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"implementation_after": "Production deployment and user feedback"
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}
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}
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@staticmethod
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def get_supported_languages() -> List[Dict[str, str]]:
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"""
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Get list of languages planned for translation support
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Returns:
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List of language info dicts
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"""
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return [
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{"code": "zh", "name": "Chinese (Simplified)", "status": "planned"},
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{"code": "en", "name": "English", "status": "planned"},
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{"code": "ja", "name": "Japanese", "status": "planned"},
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{"code": "ko", "name": "Korean", "status": "planned"},
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{"code": "fr", "name": "French", "status": "planned"},
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{"code": "de", "name": "German", "status": "planned"},
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{"code": "es", "name": "Spanish", "status": "planned"},
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]
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# Example placeholder for future engine implementations:
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#
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# class ArgosTranslationEngine(TranslationServiceInterface):
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# """Offline translation using Argos Translate"""
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# def __init__(self, model_path: str):
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# self.model_path = model_path
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# # Initialize Argos models
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#
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# def translate_text(self, text, source_lang, target_lang, **kwargs):
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# # Implementation here
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# pass
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#
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# class ERNIETranslationEngine(TranslationServiceInterface):
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# """Baidu ERNIE API translation"""
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# def __init__(self, api_key: str, api_secret: str):
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# self.api_key = api_key
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# self.api_secret = api_secret
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#
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# def translate_text(self, text, source_lang, target_lang, **kwargs):
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# # Implementation here
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# pass
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