fix cost

backend/app/ai/model/image_text.py

@@ -22,7 +22,7 @@ class ImageText(Base):
     content: Mapped[str] = mapped_column(Text, nullable=False, comment="文本内容")
     standard_audio_id: Mapped[Optional[int]] = mapped_column(BigInteger, ForeignKey('file.id'), nullable=True, comment="标准朗读音频文件ID")
     ipa: Mapped[Optional[str]] = mapped_column(String(1000), default=None, comment="ipa")
-    zh: Mapped[Optional[str]] = mapped_column(String(100), default=None, comment="中文")
+    zh: Mapped[Optional[str]] = mapped_column(String(500), default=None, comment="中文")
     position: Mapped[Optional[dict]] = mapped_column(MySQLJSON, default=None, comment="文本在图片中的位置信息或文章中的位置信息")
     dict_level: Mapped[Optional[str]] = mapped_column(String(20), default=None, comment="词典等级")
     source: Mapped[Optional[str]] = mapped_column(String(20), default=None, comment="文本来源 (ref_word/description/article)")

backend/app/ai/schema/image_task.py

@@ -39,5 +39,5 @@ class ImageTaskStatusResponse(BaseModel):
     task_id: str
     image_id: str
     status: ImageTaskStatus
-    result: Optional[dict] = None
+    # result: Optional[dict] = None
     error_message: Optional[str] = None

backend/app/ai/service/image_service.py

@@ -1,4 +1,5 @@
 import asyncio
+import math
 import re
 import base64
 import hashlib
@@ -336,9 +337,11 @@ class ImageService:
                     if task:
                         image = await image_dao.get(db, task.image_id)
                         if image:
+                            total_tokens = task.result.get("token_usage", {}).get("total_tokens", 0)
+                            points = math.ceil(max(total_tokens, 1)/1000)*0.15 * IMAGE_RECOGNITION_COST
                             points_deducted = await points_service.deduct_points_with_db(
                                 user_id=task.user_id,
-                                amount=IMAGE_RECOGNITION_COST,
+                                amount=math.ceil(points),
                                 db=db,
                                 related_id=image.id,
                                 details={"task_id": task_id},
@@ -484,6 +487,7 @@ class ImageService:
                 # Make the external API call without holding a database connection
                 recognize_response = await Qwen.recognize_image(recognize_params)
                 recognition_result = recognize_response.get("result").strip().replace("```json", "").replace("```", "").strip()
+                token_usage=recognize_response.get("token_usage", {})
 
                 # 使用新的数据库会话处理API响应
                 async with background_db_session() as db:
@@ -573,7 +577,7 @@ class ImageService:
                     # 更新任务状态为处理中（不扣减积分）
                     await update_task_status_with_retry(
                         db, task_id, ImageTaskStatus.PROCESSING,
-                        result=transformed_result
+                        result={"recognition_result": transformed_result, "token_usage": token_usage}
                     )
 
                     # 提交事务
@@ -661,19 +665,19 @@ class ImageService:
                 "task_id": str(task.id),
                 "image_id": str(task.image_id),
                 "status": task.status,
-                "result": {},
+                # "result": {},
                 "error_message": None
             }
 
-            if task.status == ImageTaskStatus.COMPLETED:
+            # if task.status == ImageTaskStatus.COMPLETED:
                 # Handle both the new structure and potential legacy structures
-                if task.result:
+                # if task.result:
                     # if isinstance(task.result, dict) and task.dict_level in task.result:
                     #     response["result"] = task.result[task.dict_level]
                     # else:
                     #     response["result"] = task.result
-                    response["result"] = task.result
-            elif task.status == ImageTaskStatus.FAILED:
+                    # response["result"] = task.result
+            if task.status == ImageTaskStatus.FAILED:
                 response["error_message"] = task.error_message
 
             return response

backend/common/const.py

@@ -1,7 +1,7 @@
 """Constants used throughout the application."""
 
 # Image recognition service cost in points
-IMAGE_RECOGNITION_COST = 5
+IMAGE_RECOGNITION_COST = 10 # 0.0015/1000 * 10
 
 # Speech assessment service cost in points
 SPEECH_ASSESSMENT_COST = 1