WIP: memory system improvements (in progress)

Interview/chat prompt layers, reply planner, style profiles, memory
injection, interview meta store, and related tests. Work not finished.

Made-with: Cursor

api/tests/test_memory_evidence.py

@@ -3,6 +3,7 @@
 import pytest
 
 from app.features.memory import evidence as evidence_mod
+from app.features.memory.evidence_format import format_evidence_chunks_for_chat_prompt
 from app.features.memory.evidence import (
     EMPTY_EVIDENCE_BUNDLE,
     _facts_to_dicts,
@@ -85,3 +86,107 @@ def test_format_helpers_empty() -> None:
     assert _facts_to_dicts([]) == []
     assert _timeline_to_dicts([]) == []
     assert _stories_to_dicts([]) == []
+
+
+def test_format_evidence_chunks_for_chat_prompt_reframes_and_labels() -> None:
+    evidence = {
+        "relevant_chunks": [
+            {"id": "chunk-1", "content": "我小时候在河边长大，夏天常去玩水。"},
+        ],
+        "relevant_summaries": [],
+        "relevant_facts": [],
+        "timeline_hints": [],
+        "relevant_stories": [],
+    }
+    text = format_evidence_chunks_for_chat_prompt(evidence)
+    assert "聊天专用" in text
+    assert "归因" in text
+    assert "[M1]" in text
+    assert "用户曾说" in text
+    assert "我小时候在河边长大" in text
+
+
+def test_slice_interview_memory_empty_bundle():
+    from app.features.memory.chat_memory_injection import slice_interview_memory
+
+    s = slice_interview_memory(None, "你好")
+    assert s.prompt_excerpt == ""
+    assert s.anchor_source == ""
+    assert s.planner_preview == ""
+    assert s.had_retrieval is False
+
+
+def test_slice_interview_memory_retrieval_not_equal_inject_dismissive():
+    """有检索预览但 gating 后不进主 prompt / anchor。"""
+    from app.features.memory.chat_memory_injection import slice_interview_memory
+
+    evidence = {
+        "relevant_chunks": [
+            {"id": "c1", "content": "很久以前在校园礼堂排练到很晚。"},
+        ],
+        "relevant_summaries": [],
+        "relevant_facts": [],
+        "timeline_hints": [],
+        "relevant_stories": [],
+    }
+    s = slice_interview_memory(evidence, "哈哈，早就不会了")
+    assert s.prompt_excerpt == ""
+    assert s.anchor_source == ""
+    assert s.planner_preview.strip() != ""
+    assert s.had_retrieval is True
+
+
+def test_slice_interview_memory_minimal_inject_when_aligned():
+    from app.features.memory.chat_memory_injection import slice_interview_memory
+
+    evidence = {
+        "relevant_chunks": [
+            {"id": "c1", "content": "你在校园演出里饰演罗密欧。"},
+        ],
+        "relevant_summaries": [],
+        "relevant_facts": [],
+        "timeline_hints": [],
+        "relevant_stories": [],
+    }
+    s = slice_interview_memory(evidence, "那次排练其实挺紧张的，灯光一打我就忘词。")
+    assert "记忆线索" in s.prompt_excerpt
+    assert "校园演出" in s.prompt_excerpt or "罗密欧" in s.prompt_excerpt
+    assert s.anchor_source
+    assert s.had_retrieval is True
+
+
+def test_slice_interview_memory_keeps_first_person_but_marks_ownership():
+    from app.features.memory.chat_memory_injection import slice_interview_memory
+
+    evidence = {
+        "relevant_chunks": [
+            {"id": "c1", "content": "我小时候在河边长大，夏天常去玩水。"},
+        ],
+        "relevant_summaries": [],
+        "relevant_facts": [],
+        "timeline_hints": [],
+        "relevant_stories": [],
+    }
+    s = slice_interview_memory(evidence, "那条河一到夏天就特别热闹，我现在都记得。")
+    assert "用户曾说" in s.prompt_excerpt
+    assert "我小时候在河边长大" in s.prompt_excerpt
+    assert s.anchor_source.startswith("用户曾说")
+
+
+def test_slice_interview_memory_suppresses_long_new_topic():
+    from app.features.memory.chat_memory_injection import slice_interview_memory
+
+    evidence = {
+        "relevant_chunks": [
+            {"id": "c1", "content": "旧记忆关于河边。"},
+        ],
+        "relevant_summaries": [],
+        "relevant_facts": [],
+        "timeline_hints": [],
+        "relevant_stories": [],
+    }
+    long_msg = "我今天想随便聊聊工作里的事，项目压力很大。" * 6
+    assert len(long_msg) > 72
+    s = slice_interview_memory(evidence, long_msg)
+    assert s.prompt_excerpt == ""
+    assert s.anchor_source == ""