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
2026-05-08 18:17:12 +08:00
commit c6206787da
121 changed files with 11743 additions and 0 deletions
@@ -0,0 +1,51 @@
+from typing import Dict, Any, Optional
+import httpx
+from app.ai.base import AIProvider
+
+
+class DeepLProvider(AIProvider):
+    def __init__(self, api_key: str, endpoint: str = "https://api.deepl.com/v2"):
+        self.api_key = api_key
+        self.endpoint = endpoint
+        self._name = "deepl"
+        self._cost_per_char = 0.000006
+
+    async def translate(self, text: str, source_lang: Optional[str], target_lang: str, context: Optional[str] = None) -> Dict[str, Any]:
+        params = {
+            "auth_key": self.api_key,
+            "text": text,
+            "target_lang": target_lang.upper()[:2],
+        }
+        if source_lang and source_lang != "auto":
+            params["source_lang"] = source_lang.upper()[:2]
+
+        async with httpx.AsyncClient() as client:
+            resp = await client.post(f"{self.endpoint}/translate", data=params, timeout=15)
+            resp.raise_for_status()
+            data = resp.json()
+
+        t = data["translations"][0]
+        return {
+            "translated_text": t["text"],
+            "provider": self.name,
+            "detected_source_lang": t.get("detected_source_language", source_lang),
+            "char_count": len(text),
+            "cost": len(text) * self._cost_per_char,
+        }
+
+    async def reply(self, inquiry: str, context: Optional[Dict[str, Any]] = None, tone: str = "professional") -> Dict[str, Any]:
+        raise NotImplementedError("DeepL does not support reply generation")
+
+    async def generate_marketing(self, product_info: Dict[str, Any], target: str, style: str = "professional", language: str = "en") -> Dict[str, Any]:
+        raise NotImplementedError("DeepL does not support marketing generation")
+
+    async def extract_info(self, text: str, schema: Dict[str, Any]) -> Dict[str, Any]:
+        raise NotImplementedError("DeepL does not support info extraction")
+
+    @property
+    def name(self) -> str:
+        return self._name
+
+    @property
+    def cost_per_1k_tokens(self) -> float:
+        return self._cost_per_char * 1000