补充日志

app/ai/skill_gap_analyzer/analyzer.py

@@ -94,7 +94,7 @@ async def optimize_module(job_title: str, job_description: str, module_data: str
 
 _plan_chain = (
     ChatPromptTemplate.from_messages([("system", AGENT_PLAN_PROMPT), ("human", "请分析用户指令。")])
-    | LLM.DOUBAO_PRO_32K.create(temperature=0)
+    | LLM.ZM_GPT_5_4_MINI.create(temperature=0)
     | StrOutputParser()
 )
 
@@ -119,7 +119,7 @@ async def plan_edit(job_title: str, job_description: str, resume_json: str,
 
 _record_edit_chain = (
     ChatPromptTemplate.from_messages([("system", AGENT_MODULE_EDIT_PROMPT), ("human", "请执行修改。")])
-    | LLM.ZM_GPT_5_4_MINI.create(temperature=0.3)
+    | LLM.DOUBAO_PRO_32K.create(temperature=0.3)
     | StrOutputParser()
 )
 
@@ -144,7 +144,7 @@ async def execute_record_edit(job_title: str, job_description: str, instruction:
 
 _record_add_chain = (
     ChatPromptTemplate.from_messages([("system", AGENT_MODULE_ADD_PROMPT), ("human", "请生成新记录。")])
-    | LLM.ZM_GPT_5_4_MINI.create(temperature=0.3)
+    | LLM.DOUBAO_PRO_32K.create(temperature=0.3)
     | StrOutputParser()
 )
 

app/services/skill_gap_service.py

@@ -177,6 +177,8 @@ class SkillGapService:
     async def ai_edit_customize_resume(self, user_id: int, job_id: int,
                                        instruction: str, chat_history: list) -> dict:
         """AI 对话式编辑定制简历（原子化操作版）"""
+        log.info(f"AI编辑定制简历开始 [user={user_id}, job={job_id}, instruction={instruction[:50]}]")
+        t_start = time.monotonic()
         # 1. 取当前定制简历
         cr_data = await customize_resume_store.get(user_id, job_id)
         if not cr_data:
@@ -188,7 +190,9 @@ class SkillGapService:
         job_desc = f"{job.description or ''}\n{job.requirement or ''}"
         # 3. 规划 AI（意图识别 + 操作原子化）
         history_str = json.dumps(chat_history, ensure_ascii=False) if chat_history else "无"
+        t0 = time.monotonic()
         plan = await plan_edit(job.title or "", job_desc, resume_json, history_str, instruction)
+        log.info(f"AI编辑规划完成 ({round(time.monotonic() - t0, 2)}s), plan_action={plan.get('action') if plan else None} , 详情计划:{plan}")
         if not plan:
             return {"type": "message", "message": "抱歉，我没有理解你的意思，请再描述一下。"}
         if plan.get("action") == "chat":
@@ -197,14 +201,19 @@ class SkillGapService:
         operations = plan.get("operations", [])
         if not operations:
             return {"type": "message", "message": plan.get("message", "请再描述一下你的需求。")}
+        log.info(f"AI编辑操作列表: {len(operations)}个操作 {[op.get('type') + '/' + op.get('module', '') for op in operations]}")
         # 截取最近10条对话历史
         recent_history = chat_history[-10:] if len(chat_history) > 10 else chat_history
         recent_history_str = json.dumps(recent_history, ensure_ascii=False) if recent_history else "无"
         # 5. 按操作类型分发执行
         # 先处理 delete（零 AI 开销）
+        delete_count = 0
         for op in operations:
             if op.get("type") == "delete":
                 self._apply_delete(cr, op.get("module", ""), op.get("id", ""))
+                delete_count += 1
+        if delete_count:
+            log.info(f"AI编辑删除操作完成: {delete_count}条记录")
         # 并发执行 update 和 add
         ai_tasks = []
         for op in operations:
@@ -232,8 +241,11 @@ class SkillGapService:
                 ))
         # 并发执行
         if ai_tasks:
+            log.info(f"AI编辑执行开始: {len(ai_tasks)}个并发任务")
+            t0 = time.monotonic()
             coros = [t[3] for t in ai_tasks]
             results = await asyncio.gather(*coros, return_exceptions=True)
+            log.info(f"AI编辑执行完成, 耗时={round(time.monotonic() - t0, 2)}s")
             for (op_type, mod_name, record_id, _), result in zip(ai_tasks, results):
                 if isinstance(result, Exception):
                     log.warning(f"AI编辑[{op_type}/{mod_name}/{record_id}]失败: {result}")
@@ -249,6 +261,7 @@ class SkillGapService:
         # 拼接更新模块标签
         updated_modules = list(dict.fromkeys(op.get("module", "") for op in operations))
         label = "、".join(_MODULE_LABELS.get(m, m) for m in updated_modules if m)
+        log.info(f"AI编辑定制简历完成 [user={user_id}, job={job_id}], 总耗时={round(time.monotonic() - t_start, 2)}s, 更新模块={label}")
         return {"type": "updated", "message": f"完成！已更新：{label or '简历内容'}"}
 
     @staticmethod