"""
Product MCP Server - Product search, recommendations, and quotes
"""
import sys
import os
from typing import Optional, List

# Add shared module to path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from fastmcp import FastMCP
from pydantic_settings import BaseSettings


from pydantic import ConfigDict


class Settings(BaseSettings):
    """Server configuration"""
    hyperf_api_url: str
    hyperf_api_token: str
    log_level: str = "INFO"
    
    model_config = ConfigDict(env_file=".env")


settings = Settings()

# Create MCP server
mcp = FastMCP(
    "Product Service"
)


# Hyperf client for this server
from shared.hyperf_client import HyperfClient
hyperf = HyperfClient(settings.hyperf_api_url, settings.hyperf_api_token)


@mcp.tool()
async def search_products(
    query: str,
    category: Optional[str] = None,
    brand: Optional[str] = None,
    price_min: Optional[float] = None,
    price_max: Optional[float] = None,
    sort: str = "relevance",
    page: int = 1,
    page_size: int = 20
) -> dict:
    """Search products
    
    Args:
        query: Search keywords
        category: Category filter
        brand: Brand filter
        price_min: Minimum price filter
        price_max: Maximum price filter
        sort: Sort order (relevance, price_asc, price_desc, sales, latest)
        page: Page number (default: 1)
        page_size: Items per page (default: 20)
    
    Returns:
        List of matching products
    """
    payload = {
        "query": query,
        "sort": sort,
        "page": page,
        "page_size": page_size,
        "filters": {}
    }
    
    if category:
        payload["filters"]["category"] = category
    if brand:
        payload["filters"]["brand"] = brand
    if price_min is not None or price_max is not None:
        payload["filters"]["price_range"] = {}
        if price_min is not None:
            payload["filters"]["price_range"]["min"] = price_min
        if price_max is not None:
            payload["filters"]["price_range"]["max"] = price_max
    
    try:
        result = await hyperf.post("/products/search", json=payload)
        
        return {
            "success": True,
            "products": result.get("products", []),
            "total": result.get("total", 0),
            "pagination": result.get("pagination", {})
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "products": []
        }


@mcp.tool()
async def get_product_detail(
    product_id: str
) -> dict:
    """Get product details
    
    Args:
        product_id: Product ID
    
    Returns:
        Detailed product information including specifications, pricing, and stock
    """
    try:
        result = await hyperf.get(f"/products/{product_id}")
        
        return {
            "success": True,
            "product": result
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "product": None
        }


@mcp.tool()
async def recommend_products(
    user_id: str,
    account_id: str,
    context: Optional[dict] = None,
    strategy: str = "hybrid",
    limit: int = 10
) -> dict:
    """Get personalized product recommendations
    
    Args:
        user_id: User identifier
        account_id: B2B account identifier
        context: Optional context for recommendations:
            - current_query: Current search query
            - recent_views: List of recently viewed product IDs
            - cart_items: Items in cart
        strategy: Recommendation strategy (collaborative, content_based, hybrid)
        limit: Maximum recommendations to return (default: 10)
    
    Returns:
        List of recommended products with reasons
    """
    payload = {
        "user_id": user_id,
        "account_id": account_id,
        "strategy": strategy,
        "limit": limit
    }
    
    if context:
        payload["context"] = context
    
    try:
        result = await hyperf.post("/products/recommend", json=payload)
        
        return {
            "success": True,
            "recommendations": result.get("recommendations", [])
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "recommendations": []
        }


@mcp.tool()
async def get_quote(
    product_id: str,
    quantity: int,
    account_id: str,
    delivery_province: Optional[str] = None,
    delivery_city: Optional[str] = None
) -> dict:
    """Get B2B price quote
    
    Args:
        product_id: Product ID
        quantity: Desired quantity
        account_id: B2B account ID (for customer-specific pricing)
        delivery_province: Delivery province (for shipping calculation)
        delivery_city: Delivery city (for shipping calculation)
    
    Returns:
        Detailed quote with unit price, discounts, tax, and shipping
    """
    payload = {
        "product_id": product_id,
        "quantity": quantity,
        "account_id": account_id
    }
    
    if delivery_province or delivery_city:
        payload["delivery_address"] = {}
        if delivery_province:
            payload["delivery_address"]["province"] = delivery_province
        if delivery_city:
            payload["delivery_address"]["city"] = delivery_city
    
    try:
        result = await hyperf.post("/products/quote", json=payload)
        
        return {
            "success": True,
            "quote_id": result.get("quote_id"),
            "product_id": product_id,
            "quantity": quantity,
            "unit_price": result.get("unit_price"),
            "subtotal": result.get("subtotal"),
            "discount": result.get("discount", 0),
            "discount_reason": result.get("discount_reason"),
            "tax": result.get("tax"),
            "shipping_fee": result.get("shipping_fee"),
            "total_price": result.get("total_price"),
            "validity": result.get("validity"),
            "payment_terms": result.get("payment_terms"),
            "estimated_delivery": result.get("estimated_delivery")
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e)
        }


@mcp.tool()
async def check_inventory(
    product_ids: List[str],
    warehouse: Optional[str] = None
) -> dict:
    """Check product inventory/stock
    
    Args:
        product_ids: List of product IDs to check
        warehouse: Specific warehouse to check (optional)
    
    Returns:
        Inventory status for each product
    """
    payload = {"product_ids": product_ids}
    if warehouse:
        payload["warehouse"] = warehouse
    
    try:
        result = await hyperf.post("/products/inventory/check", json=payload)
        
        return {
            "success": True,
            "inventory": result.get("inventory", [])
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "inventory": []
        }


@mcp.tool()
async def get_categories() -> dict:
    """Get product category tree
    
    Returns:
        Hierarchical category structure
    """
    try:
        result = await hyperf.get("/products/categories")
        
        return {
            "success": True,
            "categories": result.get("categories", [])
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "categories": []
        }


@mcp.tool()
async def search_products(
    keyword: str,
    page_size: int = 60,
    page: int = 1,
    user_token: str = None,
    user_id: str = None,
    account_id: str = None
) -> dict:
    """Search products from Mall API

    从 Mall API 搜索商品 SPU（根据关键词）

    Args:
        keyword: 搜索关键词（商品名称、编号等）
        page_size: 每页数量 (default: 60, max 100)
        page: 页码 (default: 1)
        user_token: 用户 JWT token（必需，用于 Mall API 认证）
        user_id: 用户 ID（自动注入）
        account_id: 账户 ID（自动注入）

    Returns:
        商品列表，包含 SPU 信息、商品图片、价格等
        Product list including SPU ID, name, image, price, etc.
    """
    if not user_token:
        return {
            "success": False,
            "error": "用户未登录，请先登录账户以搜索商品",
            "products": [],
            "total": 0,
            "require_login": True
        }

    try:
        from shared.mall_client import MallClient

        # 使用用户 token 创建 Mall 客户端
        mall = MallClient(
            api_url=settings.mall_api_url,
            api_token=user_token,
            tenant_id=settings.mall_tenant_id,
            currency_code=settings.mall_currency_code,
            language_id=settings.mall_language_id,
            source=settings.mall_source
        )

        result = await mall.search_spu_products(
            keyword=keyword,
            page_size=page_size,
            page=page
        )

        # 解析返回结果
        products = result.get("list", [])
        total = result.get("total", 0)

        # 格式化商品数据
        formatted_products = []
        for product in products:
            formatted_products.append({
                "spu_id": product.get("spuId"),
                "spu_sn": product.get("spuSn"),
                "product_name": product.get("productName"),
                "product_image": product.get("productImage"),
                "price": product.get("price"),
                "special_price": product.get("specialPrice"),
                "stock": product.get("stock"),
                "sales_count": product.get("salesCount", 0)
            })

        return {
            "success": True,
            "products": formatted_products,
            "total": total,
            "keyword": keyword
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "products": [],
            "total": 0
        }
    finally:
        # 关闭客户端
        if 'client' in dir() and 'mall' in dir():
            await mall.close()


# Health check endpoint
@mcp.tool()
async def health_check() -> dict:
    """Check server health status"""
    return {
        "status": "healthy",
        "service": "product_mcp",
        "version": "1.0.0"
    }


if __name__ == "__main__":
    import uvicorn
    
    # Create FastAPI app from MCP
    app = mcp.http_app()
        
    # Add health endpoint
    from starlette.responses import JSONResponse
    async def health_check(request):
        return JSONResponse({"status": "healthy"})
        
    # Add the route to the app
    from starlette.routing import Route
    app.router.routes.append(Route('/health', health_check, methods=['GET']))
        
    uvicorn.run(app, host="0.0.0.0", port=8004)