feat: align agent preview user context

ai_knowledge_base_v2/apps/backend/tests/test_agent_debug_user_context.py

@@ -0,0 +1,57 @@
+from __future__ import annotations
+
+import asyncio
+
+from sqlalchemy import create_engine
+from sqlalchemy.orm import Session
+from sqlalchemy.pool import StaticPool
+
+from app.models import Base
+from app.models.entitlement import EntitlementPlan
+from app.models.growth import UserGrowthProfile
+from app.models.user import User
+from app.schemas.admin import AgentDebugRequest
+from app.services.agent_debug_service import AgentDebugService
+
+
+def _db() -> Session:
+    engine = create_engine("sqlite:///:memory:", connect_args={"check_same_thread": False}, poolclass=StaticPool)
+    Base.metadata.create_all(engine)
+    return Session(engine)
+
+
+def test_agent_debug_can_simulate_user_growth_profile_context():
+    with _db() as db:
+        user = User(id=1, phone="13800000001", name="测试学员", daily_chat_limit=100, daily_chat_used=0)
+        db.add(user)
+        db.add(
+            EntitlementPlan(
+                id=10,
+                name="深度陪伴版",
+                plan_type="deep",
+                monthly_topic_limit=90,
+                enable_growth_profile=1,
+                status=1,
+            )
+        )
+        db.add(UserGrowthProfile(user_id=1, profile_text="用户在表达障碍主题上反复出现身体紧绷。"))
+        db.commit()
+
+        result = asyncio.run(
+            AgentDebugService.build_result(
+                db,
+                AgentDebugRequest(
+                    promptContent="你是测试 Agent",
+                    modelId=1,
+                    userId=1,
+                    question="我又表达不出来了怎么办",
+                ),
+            )
+        )
+
+        rendered = "\n".join(item["content"] for item in result.messages)
+        assert "[长期成长档案]" in rendered
+        assert "表达障碍" in rendered
+        assert result.tool_trace[0]["tool"] == "load_debug_user_context"
+        assert result.tool_trace[0]["response"]["growthProfileUsed"] is True
+