完善测试：pytest 套件（路由器/工具循环/WS全链路/投递/PG集成）

- tests/conftest.py: 内存版 FakeDB 复刻 db.py 全部签名，绕过 lifespan 的测试应用
- test_chat_flow.py: WebSocket 全链路（回声/路由信号落库/档案/慢信/连续天数）
- test_delivery.py: 事件/每日任务/关怀投递（在线与离线）、天气工具城市链、system prompt 注入
- test_router.py: 小模型路由清洗（去重/丢过去事件/非法作息/500优雅降级/无模型空判定）
- test_tool_loop.py: 原生工具调用循环（喂结果/超轮次强制收尾/坏参数）
- test_pure.py: 纯逻辑（连续天数/哈希槽位/时间间隔/模板/向量）
- test_db_pg.py: PG 集成测试，无 PG_DSN 自动跳过，配好即真实跑库
- 旧散装脚本移除；tools_live/ws_client/tui_smoke 保留为手动脚本

tests/test_chat_flow.py

@@ -0,0 +1,93 @@
+"""WebSocket 全链路流测试：路由信号 → 回复 → 落库（FakeDB，无需 PG）"""
+import asyncio
+import time
+from datetime import datetime, timedelta
+
+from app import main
+
+
+def test_echo_reply_and_history(client, route_sig, run_chat, reply_text):
+    route_sig({})  # 路由器：什么信号都没有
+    received = run_chat([{"type": "chat", "text": "你好呀"}])
+    text = reply_text(received)
+    assert "回声模式" in text and "你好呀" in text
+    assert received[-1]["type"] == "done"
+
+
+def test_route_signals_land_in_db(client, route_sig, fdb, run_chat):
+    future = datetime.now() + timedelta(hours=1)
+    route_sig({
+        "facts": ["用户叫小明"],
+        "events": [{"kind": "alarm", "fire_at": future,
+                    "text": "起床", "repeat": "once"}],
+        "negative_mood": True,
+        "promises": [{"note": "面试",
+                      "due_at": datetime.now() + timedelta(days=1)}],
+        "lore": [{"topic": "诞生", "body": "小暖是用户亲手造的"}],
+    })
+    run_chat([{"type": "chat", "text": "我叫小明，明早叫我起床，"
+                                        "昨天心情不好，明天面试，你是我造的"}])
+    # remember_later 是后台任务，等它跑完
+    time.sleep(0.5)
+    assert [m["text"] for m in fdb.memories] == ["用户叫小明"]
+    assert len(fdb.events) == 1 and fdb.events[0]["text"] == "起床"
+    assert len(fdb.care) == 2  # 情绪回访 + 承诺追踪
+    kinds = {c["kind"] for c in fdb.care}
+    assert kinds == {"emotion", "promise"}
+    assert fdb.lore[("s1", "诞生")] == "小暖是用户亲手造的"
+    # 对话历史：user + assistant
+    assert len(fdb.history) == 2
+
+
+def test_view_reply_reads_db(client, route_sig, fdb, run_chat, reply_text):
+    asyncio.run(fdb.add_memories("s1", ["用户叫小明", "用户喜欢打篮球"], None))
+    route_sig({"view": "memories"})
+    received = run_chat([{"type": "chat", "text": "你的记忆里有什么"}])
+    text = reply_text(received)
+    assert "用户叫小明" in text and "用户喜欢打篮球" in text
+    # 档案回复也进历史（assistant 角色）
+    assert any(h["role"] == "assistant" and "小明" in h["content"]
+               for h in fdb.history)
+
+
+def test_letter_flow(client, route_sig, fdb, run_chat, reply_text):
+    route_sig({"letter": (7, "给未来的我：加油")})
+    received = run_chat([{"type": "chat", "text": "给7天后的自己写信：加油"}])
+    assert "✉️" in reply_text(received)
+    assert len(fdb.letters) == 1 and fdb.letters[0]["body"] == "给未来的我：加油"
+
+
+def test_letter_ask_when_incomplete(client, route_sig, fdb, run_chat,
+                                    reply_text):
+    route_sig({"letter": ("ask", "")})
+    received = run_chat([{"type": "chat", "text": "我想写慢信"}])
+    assert "给7天后的自己写信" in reply_text(received)
+    assert fdb.letters == []
+
+
+def test_streak_increments(fdb, offline):
+    yesterday = (datetime.now() - timedelta(days=1)).strftime("%Y-%m-%d")
+    asyncio.run(fdb.set_meta("s1", "last_active", yesterday))
+    asyncio.run(fdb.set_meta("s1", "streak", "3"))
+    sig = {"facts": [], "events": [], "routines": [], "promises": [],
+           "lore": [], "letter": None, "view": None, "negative_mood": False}
+
+    class FakeWS:
+        async def send_json(self, payload):
+            pass
+
+    asyncio.run(main.remember_later(FakeWS(), "s1", "我来了", sig))
+    assert asyncio.run(fdb.get_meta("s1", "streak")) == "4"
+
+
+def test_streak_resets_after_gap(fdb, offline):
+    asyncio.run(fdb.set_meta("s1", "last_active", "2020-01-01"))
+    sig = {"facts": [], "events": [], "routines": [], "promises": [],
+           "lore": [], "letter": None, "view": None, "negative_mood": False}
+
+    class FakeWS:
+        async def send_json(self, payload):
+            pass
+
+    asyncio.run(main.remember_later(FakeWS(), "s1", "好久不见", sig))
+    assert asyncio.run(fdb.get_meta("s1", "streak")) == "1"