fix: 修改LLMProvider 类型

ai_service/api/v1/chat/__init__.py

@@ -11,6 +11,7 @@ from langchain.chains import ConversationChain
 from api.v1.chat.vo import MessageVO
 from deps.auth import get_current_user
 from llm.factory import get_adapter
+from llm.enums import LLMProvider
 from services.chat_service import ChatDBService
 from db.session import get_db
 from models.ai import ChatConversation, ChatMessage
@@ -37,11 +38,13 @@ async def chat_stream(request: Request, user=Depends(get_current_user), db: Sess
     if platform == 'tongyi':
         model = 'qwen-plus'
         api_key = os.getenv("DASHSCOPE_API_KEY")
+        provider = LLMProvider.TONGYI
     else:
         # 默认使用 DeepSeek
         model = 'deepseek-chat'
         api_key = os.getenv("DEEPSEEK_API_KEY")
-    llm = get_adapter(platform, api_key=api_key, model=model)
+        provider = LLMProvider.DEEPSEEK
+    llm = get_adapter(provider, api_key=api_key, model=model)
 
     if not content or not isinstance(content, str):
         from fastapi.responses import JSONResponse
@@ -94,9 +97,11 @@ async def create_conversation(request: Request, db: Session = Depends(get_db), u
     platform = body.get('platform')
     if platform == 'tongyi':
         model = 'qwen-plus'
+        # provider = LLMProvider.TONGYI
     else:
         # 默认使用 DeepSeek
         model = 'deepseek-chat'
+        # provider = LLMProvider.DEEPSEEK
     user_id = user["user_id"]
     conversation = ChatDBService.get_or_create_conversation(db, None, user_id, model, '新对话')
     return resp_success(data=conversation.id)

ai_service/api/v1/drawing/__init__.py

@@ -8,6 +8,7 @@ from api.v1.drawing.vo import CreateDrawingTaskRequest
 from db.session import get_db
 from deps.auth import get_current_user
 from llm.factory import get_adapter
+from llm.enums import LLMProvider
 from services.drawing_service import get_drawing_page, create_drawing_task, fetch_drawing_task_status
 from utils.resp import resp_error, resp_success
 
@@ -50,7 +51,7 @@ def api_create_image_task(
     prompt = req.prompt
     model = req.model
     api_key = os.getenv("DASHSCOPE_API_KEY")
-    adapter = get_adapter('tongyi', api_key=api_key, model=model)
+    adapter = get_adapter(LLMProvider.TONGYI, api_key=api_key, model=model)
     try:
         rsp = adapter.create_drawing_task(prompt=prompt, n=n, style=style, size=size)
         # rsp = {

ai_service/api/v1/drawing/vo.py

@@ -1,4 +1,5 @@
 from pydantic import BaseModel
+from llm.enums import LLMProvider
 
 
 class CreateDrawingTaskRequest(BaseModel):
@@ -6,5 +7,5 @@ class CreateDrawingTaskRequest(BaseModel):
     style: str = 'auto'
     size: str = '1024*1024'
     model: str = 'wanx_v1'
-    platform: str = 'tongyi'
+    platform: str = LLMProvider.TONGYI
     n: int = 1

ai_service/llm/enums.py

@@ -0,0 +1,32 @@
+from enum import Enum
+
+
+class LLMProvider(str, Enum):
+    """LLM 提供商枚举"""
+    DEEPSEEK = "deepseek"
+    TONGYI = "tongyi"
+    OPENAI = "openai"
+    GOOGLE_GENAI = "google-genai"
+    
+    @classmethod
+    def get_model_by_platform(cls, platform: str) -> tuple[str, str]:
+        """根据平台名称获取对应的模型和API密钥环境变量名"""
+        if platform == cls.TONGYI:
+            return 'qwen-plus', 'DASHSCOPE_API_KEY'
+        elif platform == cls.DEEPSEEK:
+            return 'deepseek-chat', 'DEEPSEEK_API_KEY'
+        elif platform == cls.OPENAI:
+            return 'gpt-3.5-turbo', 'OPENAI_API_KEY'
+        elif platform == cls.GOOGLE_GENAI:
+            return 'gemini-pro', 'GOOGLE_API_KEY'
+        else:
+            # 默认使用 DeepSeek
+            return 'deepseek-chat', 'DEEPSEEK_API_KEY'
+    
+    @classmethod
+    def from_string(cls, platform: str) -> 'LLMProvider':
+        """从字符串创建枚举值，如果不存在则返回默认值"""
+        try:
+            return cls(platform)
+        except ValueError:
+            return cls.DEEPSEEK  # 默认返回 DeepSeek 

ai_service/llm/factory.py

@@ -2,22 +2,23 @@ from .adapter.deepseek import DeepSeekAdapter
 from .adapter.genai import GoogleGenAIAdapter
 from .adapter.openai import OpenAIAdapter
 from .adapter.tongyi import TongYiAdapter
+from .enums import LLMProvider
 
 
-def get_adapter(provider, api_key, model, **kwargs):
+def get_adapter(provider: LLMProvider, api_key, model, **kwargs):
-    if provider == 'deepseek':
+    if provider == LLMProvider.DEEPSEEK:
         return DeepSeekAdapter(api_key, model, **kwargs)
-    elif provider == 'tongyi':
+    elif provider == LLMProvider.TONGYI:
         return TongYiAdapter(api_key, model, **kwargs)
-    elif provider == 'openai':
+    elif provider == LLMProvider.OPENAI:
         return OpenAIAdapter(api_key, model, **kwargs)
-    elif provider == 'google-genai':
+    elif provider == LLMProvider.GOOGLE_GENAI:
         return GoogleGenAIAdapter(api_key, model, **kwargs)
     else:
         raise ValueError('不支持的服务商')
 
 #  使用示例
-# adapter = get_adapter('tongyi', api_key='xxx', model='wanx_v1')
+# adapter = get_adapter(LLMProvider.TONGYI, api_key='xxx', model='wanx_v1')
 
 # 对话
 # try:

ai_service/models/ai.py

@@ -6,6 +6,7 @@ from sqlalchemy.orm import relationship, declarative_base
 from db.session import Base
 from models.base import CoreModel
 from models.user import DjangoUser  # 确保导入 DjangoUser
+from llm.enums import LLMProvider
 
 # 状态选择类（示例）
 class CommonStatus:
@@ -19,12 +20,12 @@ class CommonStatus:
 
 # 平台选择类（示例）
 class PlatformChoices:
-    OPENAI = 'openai'
+    OPENAI = LLMProvider.OPENAI
     ALIMNS = 'alimns'
 
     @staticmethod
     def choices():
-        return [('openai', 'OpenAI'), ('alimns', '阿里云MNS')]
+        return [(LLMProvider.OPENAI, 'OpenAI'), ('alimns', '阿里云MNS')]
 
 
 # 消息类型选择类（示例）

ai_service/services/drawing_service.py

@@ -7,6 +7,7 @@ from http import HTTPStatus
 from sqlalchemy import desc
 
 from llm.factory import get_adapter
+from llm.enums import LLMProvider
 from models.ai import Drawing
 from sqlalchemy.orm import Session
 
@@ -40,7 +41,7 @@ def fetch_drawing_task_status(db: Session, drawing_id: int):
         return None, "任务不存在"
     if drawing.status in ("PENDING", 'RUNNING'):
         api_key = os.getenv("DASHSCOPE_API_KEY")
-        adapter = get_adapter('tongyi', api_key=api_key, model='')
+        adapter = get_adapter(LLMProvider.TONGYI, api_key=api_key, model='')
         rsp = adapter.fetch_drawing_task_status(drawing.task_id)
         if rsp['status_code'] == HTTPStatus.OK:
             # 可根据 status.output.task_status 更新数据库