chore/ 删除无用文件

api/app/agents/memoir/extraction_agent.py

@@ -2,6 +2,7 @@
 ExtractionAgent：从用户消息中提取 5-stage 状态与 slots。
 对应现有逻辑：get_state_extraction_prompt + JSON 解析
 """
+
 from __future__ import annotations
 
 import json
@@ -19,6 +20,7 @@ logger = get_logger(__name__)
 @dataclass
 class ExtractionResult:
     """状态提取结果"""
+
     detected_stage: str
     slots: Dict[str, str]
 
@@ -41,7 +43,9 @@ class ExtractionAgent:
         extracted_slots: Dict[str, str] = {}
 
         if not llm:
-            return ExtractionResult(detected_stage=detected_stage, slots=extracted_slots)
+            return ExtractionResult(
+                detected_stage=detected_stage, slots=extracted_slots
+            )
 
         try:
             prompt = get_state_extraction_prompt(
@@ -61,8 +65,7 @@ class ExtractionAgent:
             detected_stage = parsed.get("detected_stage", detected_stage)
             raw_slots = parsed.get("slots", {}) or {}
             extracted_slots = {
-                k: v if isinstance(v, str) else str(v)
-                for k, v in raw_slots.items()
+                k: v if isinstance(v, str) else str(v) for k, v in raw_slots.items()
             }
         except (json.JSONDecodeError, Exception) as e:
             logger.warning("ExtractionAgent LLM 解析失败: %s", e)