"""

# 方式1：直接运行
python api/translator_app.py

# 方式2：使用 uvicorn
uvicorn api.translator_app:app --host 0.0.0.0 --port 6006 --reload


使用说明：
Translation HTTP Service

This service provides a RESTful API for text translation using DeepL API.
The service runs on port 6006 and provides a simple translation endpoint.

API Endpoint:
    POST /translate

Request Body (JSON):
    {
        "text": "要翻译的文本",
        "target_lang": "en",  # Required: target language code (zh, en, ru, etc.)
        "source_lang": "zh"   # Optional: source language code (auto-detect if not provided)
    }

Response (JSON):
    {
        "text": "要翻译的文本",
        "target_lang": "en",
        "source_lang": "zh",
        "translated_text": "Text to translate",
        "status": "success"
    }

Usage Examples:

1. Translate Chinese to English:
   curl -X POST http://localhost:6006/translate \
     -H "Content-Type: application/json" \
     -d '{
       "text": "商品名称",
       "target_lang": "en",
       "source_lang": "zh"
     }'

2. Translate with auto-detection:
   curl -X POST http://localhost:6006/translate \
     -H "Content-Type: application/json" \
     -d '{
       "text": "Product name",
       "target_lang": "zh"
     }'

3. Translate Russian to English:
   curl -X POST http://localhost:6006/translate \
     -H "Content-Type: application/json" \
     -d '{
       "text": "Название товара",
       "target_lang": "en",
       "source_lang": "ru"
     }'

Health Check:
    GET /health

    curl http://localhost:6006/health

Start the service:
    python api/translator_app.py
    # or
    uvicorn api.translator_app:app --host 0.0.0.0 --port 6006 --reload
"""

import os
import sys
import logging
import argparse
import uvicorn
from typing import Optional
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel, Field

# Add parent directory to path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from query.translator import Translator
from config.env_config import DEEPL_AUTH_KEY, REDIS_CONFIG

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)

# Fixed translation prompt
TRANSLATION_PROMPT = "Translate the original text into an English product SKU name. Requirements: Ensure accurate and complete transmission of the original information, with concise, clear, authentic, and professional language."

# Global translator instance
_translator: Optional[Translator] = None


def init_translator():
    """Initialize translator instance."""
    global _translator
    if _translator is None:
        logger.info("Initializing translator...")
        _translator = Translator(
            api_key=DEEPL_AUTH_KEY,
            use_cache=True,
            timeout=10
        )
        logger.info("Translator initialized")
    return _translator


# Request/Response models
class TranslationRequest(BaseModel):
    """Translation request model."""
    text: str = Field(..., description="Text to translate")
    target_lang: str = Field(..., description="Target language code (zh, en, ru, etc.)")
    source_lang: Optional[str] = Field(None, description="Source language code (optional, auto-detect if not provided)")

    class Config:
        json_schema_extra = {
            "example": {
                "text": "商品名称",
                "target_lang": "en",
                "source_lang": "zh"
            }
        }


class TranslationResponse(BaseModel):
    """Translation response model."""
    text: str = Field(..., description="Original text")
    target_lang: str = Field(..., description="Target language code")
    source_lang: Optional[str] = Field(None, description="Source language code (detected or provided)")
    translated_text: str = Field(..., description="Translated text")
    status: str = Field(..., description="Translation status")


# Create FastAPI app
app = FastAPI(
    title="Translation Service API",
    description="RESTful API for text translation using DeepL",
    version="1.0.0",
    docs_url="/docs",
    redoc_url="/redoc"
)

# Add CORS middleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)


@app.on_event("startup")
async def startup_event():
    """Initialize translator on startup."""
    logger.info("Starting Translation Service API on port 6006")
    try:
        init_translator()
        logger.info("Translation service ready")
    except Exception as e:
        logger.error(f"Failed to initialize translator: {e}", exc_info=True)
        logger.warning("Service will start but translation may not work correctly")


@app.get("/health")
async def health_check():
    """Health check endpoint."""
    try:
        translator = init_translator()
        return {
            "status": "healthy",
            "service": "translation",
            "translator_initialized": translator is not None,
            "cache_enabled": translator.use_cache if translator else False
        }
    except Exception as e:
        logger.error(f"Health check failed: {e}")
        return JSONResponse(
            status_code=503,
            content={
                "status": "unhealthy",
                "error": str(e)
            }
        )


@app.post("/translate", response_model=TranslationResponse)
async def translate(request: TranslationRequest):
    """
    Translate text to target language.
    
    Uses a fixed prompt optimized for product SKU name translation.
    The translation is cached in Redis for performance.
    """
    if not request.text or not request.text.strip():
        raise HTTPException(
            status_code=400,
            detail="Text cannot be empty"
        )
    
    if not request.target_lang:
        raise HTTPException(
            status_code=400,
            detail="target_lang is required"
        )
    
    try:
        translator = init_translator()
        
        # Translate using the fixed prompt
        translated_text = translator.translate(
            text=request.text,
            target_lang=request.target_lang,
            source_lang=request.source_lang,
            prompt=TRANSLATION_PROMPT
        )
        
        if translated_text is None:
            raise HTTPException(
                status_code=500,
                detail="Translation failed"
            )
        
        return TranslationResponse(
            text=request.text,
            target_lang=request.target_lang,
            source_lang=request.source_lang,
            translated_text=translated_text,
            status="success"
        )
    
    except HTTPException:
        raise
    except Exception as e:
        logger.error(f"Translation error: {e}", exc_info=True)
        raise HTTPException(
            status_code=500,
            detail=f"Translation error: {str(e)}"
        )


@app.get("/")
async def root():
    """Root endpoint with API information."""
    return {
        "service": "Translation Service API",
        "version": "1.0.0",
        "status": "running",
        "endpoints": {
            "translate": "POST /translate",
            "health": "GET /health",
            "docs": "GET /docs"
        }
    }


if __name__ == "__main__":
    parser = argparse.ArgumentParser(description='Start translation API service')
    parser.add_argument('--host', default='0.0.0.0', help='Host to bind to')
    parser.add_argument('--port', type=int, default=6006, help='Port to bind to')
    parser.add_argument('--reload', action='store_true', help='Enable auto-reload')
    args = parser.parse_args()

    # Run server
    uvicorn.run(
        "api.translator_app:app",
        host=args.host,
        port=args.port,
        reload=args.reload
    )