chore/ 删除无用文件

api/app/agents/memoir/prompts.py

@@ -1,6 +1,7 @@
 """
 回忆录整理 Agent 提示词模板
 """
+
 import json
 import re
 from typing import Optional
@@ -67,8 +68,13 @@ def inject_image_placeholder_template(content: str) -> str:
         if not inner:
             return match.group(0)
         if inner.startswith(IMAGE_PLACEHOLDER_TEMPLATE):
-            desc = inner[len(IMAGE_PLACEHOLDER_TEMPLATE):].lstrip("。").strip()
-            return "{{{{IMAGE:" + IMAGE_PLACEHOLDER_TEMPLATE + ("。" + desc if desc else "") + "}}}}"
+            desc = inner[len(IMAGE_PLACEHOLDER_TEMPLATE) :].lstrip("。").strip()
+            return (
+                "{{{{IMAGE:"
+                + IMAGE_PLACEHOLDER_TEMPLATE
+                + ("。" + desc if desc else "")
+                + "}}}}"
+            )
         return "{{{{IMAGE:" + IMAGE_PLACEHOLDER_TEMPLATE + "。" + inner + "}}}}"
 
     content = _IMAGE_PLACEHOLDER_ANY_BRACES_RE.sub(replace_one, content)
@@ -146,10 +152,14 @@ def get_chapter_classification_prompt(segments_text: str) -> str:
 如果对话内容中没有任何与人生经历相关的实质内容，返回 none。"""
 
 
-def get_text_rewrite_prompt(segments_text: str, chapter_category: str, existing_content: str = "") -> str:
+def get_text_rewrite_prompt(
+    segments_text: str, chapter_category: str, existing_content: str = ""
+) -> str:
     """获取文本改写的提示词"""
     chapter_name = CHAPTER_CATEGORIES.get(chapter_category, chapter_category)
-    existing_section = f"\n\n已有章节内容：\n{existing_content}" if existing_content else ""
+    existing_section = (
+        f"\n\n已有章节内容：\n{existing_content}" if existing_content else ""
+    )
     return f"""{get_system_prompt()}
 
 请将以下口语化的对话内容改写为书面语，归类到"{chapter_name}"章节。
@@ -181,7 +191,9 @@ def get_text_rewrite_prompt(segments_text: str, chapter_category: str, existing_
 {{{{IMAGE:奶奶坐在院子里的藤椅上，手里摇着蒲扇}}}}"""
 
 
-def get_state_extraction_prompt(user_message: str, current_stage: str, stage_slots: dict) -> str:
+def get_state_extraction_prompt(
+    user_message: str, current_stage: str, stage_slots: dict
+) -> str:
     """抽取结构化信息并判断阶段"""
     slot_keys = list(stage_slots.keys())
     all_stage_slots = {
@@ -296,9 +308,19 @@ def get_narrative_prompt(
     """将新对话改写为叙述（只输出新内容的改写，不重复已有内容）"""
     context_tail = ""
     if existing_content:
-        context_tail = existing_content[-300:] if len(existing_content) > 300 else existing_content
-    context_section = f"\n\n【衔接上下文（已有内容的末尾，仅供参考衔接，不要重复）】：\n{context_tail}" if context_tail else ""
-    archived_section = f"\n\n【已删除的该类别历史章节（仅供参考，请勿直接使用或重复）】：\n{archived_summaries}" if archived_summaries else ""
+        context_tail = (
+            existing_content[-300:] if len(existing_content) > 300 else existing_content
+        )
+    context_section = (
+        f"\n\n【衔接上下文（已有内容的末尾，仅供参考衔接，不要重复）】：\n{context_tail}"
+        if context_tail
+        else ""
+    )
+    archived_section = (
+        f"\n\n【已删除的该类别历史章节（仅供参考，请勿直接使用或重复）】：\n{archived_summaries}"
+        if archived_summaries
+        else ""
+    )
 
     profile_section = f"\n\n用户基本信息：\n{user_profile}" if user_profile else ""
     age_hint = _build_age_hint(stage, birth_year)
@@ -366,8 +388,14 @@ def get_narrative_json_prompt(
     """将新对话改写为叙述，输出 JSON 格式（paragraphs: [{content, image_description}]）"""
     context_tail = ""
     if existing_content:
-        context_tail = existing_content[-300:] if len(existing_content) > 300 else existing_content
-    context_section = f"\n\n【衔接上下文（已有内容的末尾，仅供参考衔接，不要重复）】：\n{context_tail}" if context_tail else ""
+        context_tail = (
+            existing_content[-300:] if len(existing_content) > 300 else existing_content
+        )
+    context_section = (
+        f"\n\n【衔接上下文（已有内容的末尾，仅供参考衔接，不要重复）】：\n{context_tail}"
+        if context_tail
+        else ""
+    )
     profile_section = f"\n\n用户基本信息：\n{user_profile}" if user_profile else ""
     age_hint = _build_age_hint(stage, birth_year)
     time_section = f"\n时间参考：{age_hint}" if age_hint else ""