feat(memoir): 回忆录分段两阶段管线（Phase1 分类 / Phase2 叙事）与配置、测试

api/app/agents/memoir/orchestrator.py

@@ -33,6 +33,8 @@ class PreparedMemoirBatches:
     category_to_segments: Dict[str, List[Segment]]
     #: segment id 在「LLM 判 none 且 extraction slots 为空」时加入；batch 级短路见 memoir_tasks
     segment_skip_story_ids: Set[str]
+    #: 每个 segment → Phase 1 分类 chapter_category（持久化到 Segment.topic_category）
+    segment_chapter_category: Dict[str, str]
 
 
 class MemoirOrchestrator:
@@ -64,6 +66,7 @@ class MemoirOrchestrator:
         state = get_or_create_state()
         category_to_segments: Dict[str, List[Segment]] = {}
         segment_skip_story_ids: Set[str] = set()
+        segment_chapter_category: Dict[str, str] = {}
         classify_extract_llm = llm_fast if llm_fast is not None else llm
 
         for segment in segments:
@@ -103,6 +106,7 @@ class MemoirOrchestrator:
             chapter_category = classify_result.category
             if (not result.slots) and classify_result.llm_said_none:
                 segment_skip_story_ids.add(str(segment.id))
+            segment_chapter_category[str(segment.id)] = chapter_category
 
             if agent_summary_enabled():
                 logger.info(
@@ -126,6 +130,7 @@ class MemoirOrchestrator:
             state=state,
             category_to_segments=category_to_segments,
             segment_skip_story_ids=segment_skip_story_ids,
+            segment_chapter_category=segment_chapter_category,
         )
 
     def run(