Initial commit: TradeMate 外贸小助手 MVP

项目结构:
- backend/     Python FastAPI 后端
- uni-app/     uni-app跨端前端
- docs/        设计文档
- docker-compose.yml  Docker编排
- nginx/scripts/systemd 运维配置

已完成功能:
- 用户认证 (JWT)
- 智能翻译 + 回复建议
- 营销素材生成
- 客户管理 + 沉默检测
- 报价单管理
- 产品库管理
- 汇率换算
- 推送通知 (uni-push)
- WhatsApp Webhook框架
- Celery定时任务

backend/app/services/marketing.py

@@ -0,0 +1,84 @@
+from typing import Dict, Any, Optional, List
+from app.ai.router import get_ai_router
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+class MarketingService:
+    def __init__(self):
+        self.ai = get_ai_router()
+
+    async def generate(
+        self,
+        product_info: Dict[str, Any],
+        target: str,
+        style: str = "professional",
+        language: str = "en",
+        count: int = 3,
+    ) -> List[Dict[str, Any]]:
+        results = []
+        styles = self._get_style_variants(style, count)
+
+        for s in styles:
+            try:
+                result = await self.ai.marketing(product_info, target, s, language)
+                results.append({
+                    "content": result.get("content", ""),
+                    "style": s,
+                    "provider": result.get("provider_used", "unknown"),
+                })
+            except Exception as e:
+                logger.warning(f"Marketing generation failed for style '{s}': {e}")
+                results.append({"content": "", "style": s, "error": str(e)})
+
+        return results
+
+    async def generate_keywords(
+        self, product_info: Dict[str, Any], language: str = "en", count: int = 10
+    ) -> List[str]:
+        try:
+            schema = {
+                "type": "object",
+                "properties": {
+                    "keywords": {
+                        "type": "array",
+                        "items": {"type": "string"},
+                    }
+                },
+            }
+            text = f"Product: {product_info.get('name', '')}. {product_info.get('description', '')}"
+            result = await self.ai.extract(text, schema)
+            keywords = result.get("data", {}).get("keywords", [])
+            return keywords[:count]
+        except Exception as e:
+            logger.warning(f"Keyword generation failed: {e}")
+            return []
+
+    def _get_style_variants(self, base_style: str, count: int) -> List[str]:
+        all_styles = ["professional", "friendly", "urgent", "benefit_focused", "storytelling"]
+        if base_style in all_styles:
+            all_styles.remove(base_style)
+            all_styles.insert(0, base_style)
+        return all_styles[:count]
+
+    async def analyze_competitors(
+        self, product_info: Dict[str, Any], market: str = "US"
+    ) -> Dict[str, Any]:
+        try:
+            text = f"Product: {product_info.get('name', '')} in {market} market. Category: {product_info.get('category', '')}. Description: {product_info.get('description', '')}"
+            schema = {
+                "type": "object",
+                "properties": {
+                    "price_range": {"type": "string"},
+                    "key_selling_points": {"type": "array", "items": {"type": "string"}},
+                    "common_keywords": {"type": "array", "items": {"type": "string"}},
+                    "market_trends": {"type": "string"},
+                    "suggestions": {"type": "array", "items": {"type": "string"}},
+                },
+            }
+            result = await self.ai.extract(text, schema)
+            return result.get("data", {})
+        except Exception as e:
+            logger.warning(f"Competitor analysis failed: {e}")
+            return {}