fix code

backend/app/ai/service/sentence_service.py

@@ -22,7 +22,7 @@ from backend.app.ai.crud.image_task_crud import image_task_dao
 from backend.app.ai.schema.image_task import CreateImageTaskParam
 from backend.app.admin.service.points_service import points_service
 from backend.app.ai.service.rate_limit_service import rate_limit_service
-from backend.common.const import SENTENCE_CARD_COST, SENTENCE_TYPE_SCENE_SENTENCE, SENTENCE_TYPE_SCENE_DIALOGUE, SENTENCE_TYPE_SCENE_EXERCISE, LLM_CHAT_COST
+from backend.common.const import SENTENCE_TYPE_SCENE_SENTENCE, SENTENCE_TYPE_SCENE_DIALOGUE, SENTENCE_TYPE_SCENE_EXERCISE, LLM_CHAT_COST
 
 
 class SentenceService:
@@ -336,7 +336,7 @@ class SentenceService:
             if latest_task:
                 await db.commit()
                 return {"task_id": str(latest_task.id), "status": latest_task.status}
-        if not await points_service.check_sufficient_points(user_id, SENTENCE_CARD_COST):
+        if not await points_service.check_sufficient_points(user_id, LLM_CHAT_COST):
             raise errors.ForbiddenError(msg='积分不足，请获取积分后继续使用')
         slot_acquired = await rate_limit_service.acquire_task_slot(user_id)
         if not slot_acquired:
@@ -405,7 +405,7 @@ class SentenceService:
                 total_tokens = 0
                 if isinstance(result, dict):
                     total_tokens = int((result.get("token_usage") or {}).get("total_tokens") or 0)
-                deduct_amount = SENTENCE_CARD_COST
+                deduct_amount = LLM_CHAT_COST
                 if total_tokens > 0:
                     units = math.ceil(max(total_tokens, 1) / 1000)
                     deduct_amount = units * LLM_CHAT_COST

backend/common/const.py

@@ -1,9 +1,8 @@
 """Constants used throughout the application."""
 
 # Image recognition service cost in points
-IMAGE_RECOGNITION_COST = 2 # 0.0015/1000 * 1
+IMAGE_RECOGNITION_COST = 1 # 1000 / 1
 SPEECH_ASSESSMENT_COST = 1
-SENTENCE_CARD_COST = 2
 LLM_CHAT_COST = 1
 
 QWEN_TOKEN_COST = 0.002