fix:修复角色管理职业，删除失败问题

backend/app/api/characters.py

@@ -488,6 +488,8 @@ async def delete_character(
     db: AsyncSession = Depends(get_db)
 ):
     """删除角色"""
+    from app.models.career import CharacterCareer
+    
     result = await db.execute(
         select(Character).where(Character.id == character_id)
     )
@@ -500,9 +502,22 @@ async def delete_character(
     user_id = getattr(request.state, 'user_id', None)
     await verify_project_access(character.project_id, user_id, db)
     
+    # 清理角色-职业关联关系
+    career_relations_result = await db.execute(
+        select(CharacterCareer).where(CharacterCareer.character_id == character_id)
+    )
+    career_relations = career_relations_result.scalars().all()
+    
+    for relation in career_relations:
+        await db.delete(relation)
+        logger.info(f"删除角色职业关联：character_id={character_id}, career_id={relation.career_id}, type={relation.career_type}")
+    
+    # 删除角色
     await db.delete(character)
     await db.commit()
     
+    logger.info(f"删除角色成功：{character.name} (ID: {character_id}), 清理了 {len(career_relations)} 条职业关联")
+    
     return {"message": "角色删除成功"}
 
 

backend/app/api/wizard_stream.py

@@ -361,7 +361,7 @@ async def career_system_generator(
             rules=world_data.get('rules', '未设定')
         )
         
-        estimated_total = 8000
+        estimated_total = 5000
         MAX_CAREER_RETRIES = 3  # 最多重试3次
         career_retry_count = 0
         career_generation_success = False
@@ -685,7 +685,7 @@ async def characters_generator(
                     
                     yield await tracker.generating(
                         current_chars=0,
-                        estimated_total=1000,
+                        estimated_total=BATCH_SIZE * 800,
                         message=f"生成第{batch_idx+1}/{total_batches}批角色 ({current_batch_size}个)",
                         retry_count=retry_count,
                         max_retries=MAX_RETRIES
@@ -733,7 +733,7 @@ async def characters_generator(
                     accumulated_text = ""
                     chunk_count = 0
                     
-                    estimated_total = 1000
+                    estimated_total = BATCH_SIZE * 800
                     
                     async for chunk in user_ai_service.generate_text_stream(
                         prompt=prompt,