7989f3a159
后端新增风险图谱算法模块、风险观察与反馈服务、规则 DSL 校验器和可解释性引擎，完善系统仪表盘和财务仪表盘统计， 优化 agent 运行和编排执行链路，清理旧开发文档，前端新增 系统趋势、负载热力图等多种仪表盘图表组件，完善操作反馈 对话框和工作台日期选择器，优化报销创建和审批详情交互， 补充单元测试覆盖。
81 lines
2.7 KiB
Python
81 lines
2.7 KiB
Python
from __future__ import annotations
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from sqlalchemy import create_engine
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from sqlalchemy.orm import Session, sessionmaker
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from sqlalchemy.pool import StaticPool
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from app.db.base import Base
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from app.schemas.agent_feedback import AgentFeedbackCreate
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from app.services.agent_feedback import AgentFeedbackService
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def build_session() -> Session:
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engine = create_engine(
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"sqlite+pysqlite:///:memory:",
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connect_args={"check_same_thread": False},
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poolclass=StaticPool,
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)
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Base.metadata.create_all(bind=engine)
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session_factory = sessionmaker(bind=engine, autoflush=False, autocommit=False)
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return session_factory()
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def test_agent_feedback_service_records_rating_and_low_reason() -> None:
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with build_session() as db:
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service = AgentFeedbackService(db)
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feedback = service.create_feedback(
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AgentFeedbackCreate(
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run_id="run-feedback-001",
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conversation_id="conv-feedback-001",
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user_id="wenjing.li",
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agent="user_agent",
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source="user_message",
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session_type="application",
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operation_type="submit_application",
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operation_status="succeeded",
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rating=2,
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reason="意图识别不准",
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context_json={"route_reason": "model_route"},
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)
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)
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summary = service.summarize_feedback(agent="user_agent", session_type="application")
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assert feedback.feedback_id.startswith("fb_")
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assert feedback.rating == 2
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assert feedback.reason == "意图识别不准"
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assert summary.total_feedback == 1
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assert summary.average_rating == 2.0
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assert summary.low_rating_count == 1
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assert summary.rating_distribution["2"] == 1
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assert summary.recent_low_feedback[0]["run_id"] == "run-feedback-001"
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def test_agent_feedback_summary_keeps_five_star_distribution() -> None:
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with build_session() as db:
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service = AgentFeedbackService(db)
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for rating in (5, 4, 5):
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service.create_feedback(
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AgentFeedbackCreate(
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run_id=f"run-rating-{rating}",
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user_id="wenjing.li",
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agent="user_agent",
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session_type="expense",
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operation_status="succeeded",
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rating=rating,
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)
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)
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summary = service.summarize_feedback(session_type="expense")
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assert summary.total_feedback == 3
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assert summary.average_rating == 4.67
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assert summary.low_rating_count == 0
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assert summary.rating_distribution == {
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"1": 0,
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"2": 0,
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"3": 0,
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"4": 1,
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"5": 2,
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}
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