group_xinghuo_jinrong/tests/test_chat_tools.py

"""T-04 对话 Tool：意图匹配 / 归属校验 / agent_tool_call 落库 / 图节点注入。

单测层：run_tool 直调（sqlite 注入，success/blocked/error 三态与落库字段、
落库降级）；图集成：FakeLLM 捕获注入的 [工具查询结果] 上下文、降级回复
带摘要、无会话上下文空转。全链路（TestClient 真路由栈）见 test_chat.py。
"""

from __future__ import annotations

import datetime as _dt
import logging

import pytest
from langchain_core.messages import AIMessage
from sqlalchemy import text

from _ddl import create_sqlite_engine

from app.config.settings import settings
from app.repository.core_ro import CoreReadOnlyRepository
from app.repository.session_repository import SessionRepository
from app.service import agent_service, tool_service


class FakeLLM:
    def __init__(self, reply: str = "模拟回复"):
        self.reply = reply
        self.calls: list[list] = []

    def invoke(self, messages):
        self.calls.append(list(messages))
        return AIMessage(content=self.reply)


class FakeRiskRepo:
    """合规审计仓储替身（T-04 评审 P1-2）：记录越权双写，避免测试写真库。"""

    def __init__(self):
        self.audit_logs: list[dict] = []
        self.guard_logs: list[dict] = []

    def insert_audit_log(self, payload: dict) -> None:
        self.audit_logs.append(payload)

    def insert_input_guard_log(self, **kwargs) -> None:
        self.guard_logs.append(kwargs)


ACTOR_CUSTOMER = {"actor_id": "CUST-9527", "roles": ["customer"], "token_type": "customer"}
ACTOR_ADVISOR = {"actor_id": "STAFF-10086", "roles": ["advisor"], "token_type": "staff"}
ACTOR_RISK = {"actor_id": "STAFF-30001", "roles": ["risk_officer"], "token_type": "staff"}
ACTOR_ANALYST = {"actor_id": "STAFF-40001", "roles": ["analyst"], "token_type": "staff"}


@pytest.fixture()
def tool_env(monkeypatch):
    engine = create_sqlite_engine()
    session_repo = SessionRepository(engine=engine)
    core_ro = CoreReadOnlyRepository(engine=engine)
    with engine.begin() as conn:
        conn.execute(
            text(
                "INSERT INTO core_customer (customer_id, display_name, age, occupation, is_active)"
                " VALUES ('CUST-9527', '张三', 45, '工程师', 1)"
            )
        )
        conn.execute(
            text(
                "INSERT INTO core_customer_risk (customer_id, risk_code, evaluated_at)"
                " VALUES ('CUST-9527', 'A', '2026-08-01 10:00:00')"
            )
        )
        conn.execute(
            text(
                "INSERT INTO core_product (product_id, product_name, min_risk_code, product_type)"
                " VALUES ('P-001', '稳健一号', 'A', 'fund')"
            )
        )
        conn.execute(
            text(
                "INSERT INTO core_holding (customer_id, product_id, market_value, qty,"
                " cost_amount, pnl_pct, as_of)"
                " VALUES ('CUST-9527', 'P-001', 50000.00, 100, 50000.00, 0, '2026-09-04')"
            )
        )
        conn.execute(
            text(
                "INSERT INTO core_trade (trade_id, customer_id, product_id, trade_type, amount,"
                " trade_status, traded_at) VALUES ('TRD-001', 'CUST-9527', 'P-001', 'subscribe',"
                " 10000.00, 'confirmed', :ts)"
            ),
            {"ts": _dt.datetime.now()},
        )
        conn.execute(
            text(
                "INSERT INTO core_customer_advisor (advisor_id, customer_id, rel_status)"
                " VALUES ('STAFF-10086', 'CUST-9527', 'active'),"
                " ('STAFF-99999', 'CUST-9527', 'inactive')"
            )
        )
    monkeypatch.setattr(tool_service, "_session_repo", lambda: session_repo)
    monkeypatch.setattr(tool_service, "_core_ro", lambda: core_ro)
    risk_repo = FakeRiskRepo()
    monkeypatch.setattr(tool_service, "_risk_repo", lambda: risk_repo)
    yield {"engine": engine, "session_repo": session_repo, "risk_repo": risk_repo}
    engine.dispose()


def _tool_rows(engine):
    with engine.connect() as conn:
        return [
            dict(r)
            for r in conn.execute(
                text("SELECT * FROM agent_tool_call ORDER BY id")
            ).mappings().all()
        ]


# ---------- 意图匹配 ----------


def test_match_intent_hits():
    assert tool_service.match_intent("customer", "查一下我的持仓") == "query_holdings"
    assert tool_service.match_intent("customer", "我的风险测评结果是什么") == "query_customer_profile"
    assert tool_service.match_intent("advisor", "看看客户交易记录") == "query_recent_trades"


def test_match_intent_miss_or_agent():
    assert tool_service.match_intent("customer", "你好呀") is None
    assert tool_service.match_intent("risk", "查一下我的持仓") is None  # risk 分支归 C1
    assert tool_service.match_intent("analyst", "交易流水") is None


# ---------- run_tool：success / blocked / error 与落库 ----------


def test_run_tool_holdings_success_and_audit(tool_env):
    record = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
        session_id="sess-t1",
        trace_id="trace-t1",
    )
    assert record["status"] == "success" and record["error_code"] is None
    assert record["data"]["total_count"] == 1
    assert record["data"]["sum_market_value"] == 50000.0
    assert record["data"]["items"][0]["product_name"] == "稳健一号"  # JOIN 生效

    rows = _tool_rows(tool_env["engine"])
    assert len(rows) == 1
    row = rows[0]
    assert (row["session_id"], row["trace_id"], row["tool_name"], row["status"]) == (
        "sess-t1",
        "trace-t1",
        "query_holdings",
        "success",
    )
    assert row["error_code"] is None and row["latency_ms"] is not None
    assert '"customer_id": "CUST-9527"' in row["tool_input"]
    assert '"total_count": 1' in row["tool_output"]


def test_run_tool_customer_profile(tool_env):
    record = tool_service.run_tool(
        tool_name="query_customer_profile",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
        session_id="sess-t2",
    )
    assert record["status"] == "success"
    assert record["data"]["found"] is True
    assert record["data"]["risk_code"] == "A"


def test_run_tool_recent_trades_params(tool_env):
    record = tool_service.run_tool(
        tool_name="query_recent_trades",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
        tool_input={"days": 7},
        session_id="sess-t3",
    )
    assert record["status"] == "success"
    assert record["data"]["days"] == 7 and record["data"]["total_count"] == 1


def test_run_tool_blocked_not_owner(tool_env):
    """customer 查他人 → blocked（AUTH_403_NOT_OWNER，与 deps 同码）+ 留痕。"""
    record = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-1001",
        session_id="sess-b1",
    )
    assert record["status"] == "blocked" and record["error_code"] == "AUTH_403_NOT_OWNER"
    assert record["data"] is None
    row = _tool_rows(tool_env["engine"])[0]
    assert (row["status"], row["error_code"]) == ("blocked", "AUTH_403_NOT_OWNER")


def test_run_tool_blocked_advisor_not_assigned(tool_env):
    record = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="advisor",
        actor=ACTOR_ADVISOR,
        customer_id="CUST-1010",
        session_id="sess-b2",
    )
    assert record["status"] == "blocked" and record["error_code"] == "AUTH_403_NOT_ASSIGNED"


def test_run_tool_blocked_scope(tool_env):
    """analyst 等未授权角色 fail-closed（AUTH_403_SCOPE）。"""
    record = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="customer",
        actor=ACTOR_ANALYST,
        customer_id="CUST-9527",
        session_id="sess-b3",
    )
    assert record["status"] == "blocked" and record["error_code"] == "AUTH_403_SCOPE"


def test_run_tool_risk_officer_full_access(tool_env):
    """risk_officer 全量（对齐 assert_customer_access 口径）。"""
    record = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="risk",
        actor=ACTOR_RISK,
        customer_id="CUST-9527",
        session_id="sess-r1",
    )
    assert record["status"] == "success"


def test_run_tool_blocked_no_customer(tool_env):
    record = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="",
        session_id="sess-n1",
    )
    assert record["status"] == "blocked" and record["error_code"] == "TOOL_BLOCKED_NO_CUSTOMER"


def test_run_tool_unknown_tool(tool_env):
    record = tool_service.run_tool(
        tool_name="drop_database",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
        session_id="sess-u1",
    )
    assert record["status"] == "blocked" and record["error_code"] == "TOOL_UNKNOWN"


def test_run_tool_error_swallowed_and_audited(tool_env, monkeypatch):
    """Tool 执行异常 → error 落痕且不向对话链路抛。"""
    from app.tool import core_tools

    original = core_tools.TOOL_REGISTRY["query_holdings"]["func"]

    def boom(customer_id, core_ro):
        raise RuntimeError("db exploded")

    core_tools.TOOL_REGISTRY["query_holdings"]["func"] = boom
    try:
        record = tool_service.run_tool(
            tool_name="query_holdings",
            agent_type="customer",
            actor=ACTOR_CUSTOMER,
            customer_id="CUST-9527",
            session_id="sess-e1",
        )
    finally:
        core_tools.TOOL_REGISTRY["query_holdings"]["func"] = original
    assert record["status"] == "error" and record["error_code"] == "TOOL_ERROR"
    row = _tool_rows(tool_env["engine"])[0]
    assert (row["status"], row["error_code"]) == ("error", "TOOL_ERROR")


def test_run_tool_audit_insert_degrades(tool_env, monkeypatch):
    """留痕失败降级 warning（不阻塞对话，口径同 T-02 审计降级）。"""
    def broken_repo():
        raise RuntimeError("repo down")

    monkeypatch.setattr(tool_service, "_session_repo", broken_repo)
    record = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
        session_id="sess-d1",
    )
    assert record["status"] == "success"  # 对话链路不受留痕故障影响


# ---------- 图集成：tool 节点注入与降级 ----------


@pytest.fixture()
def fake_llm(monkeypatch):
    llm = FakeLLM()
    monkeypatch.setattr(agent_service, "_llm", llm)
    monkeypatch.setattr(settings, "deepseek_api_key", "test-key")
    yield llm
    agent_service.reset_cache()


def test_graph_tool_result_injected_into_llm(fake_llm, tool_env):
    out = agent_service.chat(
        "customer",
        [],
        "查一下我的持仓",
        session_id="sess-g1",
        trace_id="trace-g1",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
    )
    msgs = fake_llm.calls[0]
    assert msgs[1].__class__.__name__ == "SystemMessage"
    assert "[工具查询结果]" in msgs[1].content
    assert "合计市值 50000" in msgs[1].content
    assert '"total_count": 1' in msgs[1].content  # 数据 JSON 一并注入
    assert len(_tool_rows(tool_env["engine"])) == 1
    assert out["tool_results"][0]["status"] == "success"


def test_graph_no_intent_skips_tool(fake_llm, tool_env):
    agent_service.chat(
        "customer",
        [],
        "你好",
        session_id="sess-g2",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
    )
    tool_msgs = [
        m
        for m in fake_llm.calls[0]
        if m.__class__.__name__ == "SystemMessage" and "[工具查询结果]" in m.content
    ]
    assert tool_msgs == []
    assert _tool_rows(tool_env["engine"]) == []


def test_graph_blocked_result_visible_to_llm(fake_llm, tool_env):
    """归属拒绝以 blocked 结果注入（对话内呈现，非 403）。"""
    agent_service.chat(
        "customer",
        [],
        "查一下我的持仓",
        session_id="sess-g3",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-1001",
    )
    content = fake_llm.calls[0][1].content
    assert "拒绝" in content and "AUTH_403_NOT_OWNER" in content


def test_graph_without_session_context_no_tool(fake_llm, tool_env):
    """无会话上下文（旧调用方式）Tool 空转——T-07 兼容。"""
    out = agent_service.chat("customer", [], "查一下我的持仓")
    assert out["tool_results"] == []
    assert "[工具查询结果]" not in fake_llm.calls[0][1].content
    assert _tool_rows(tool_env["engine"]) == []


def test_graph_degraded_reply_includes_summary(tool_env, monkeypatch):
    """无 key 降级：回复携带 Tool 查询摘要（查询不白跑）。"""
    monkeypatch.setattr(settings, "deepseek_api_key", "")
    agent_service.reset_cache()
    out = agent_service.chat(
        "customer",
        [],
        "查一下我的持仓",
        session_id="sess-g4",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
    )
    assert "LLM 未配置" in out["reply"]
    assert "合计市值 50000" in out["reply"]
    assert out["has_disclaimer"] is True  # 降级回复同样经 guard


# ---------- summarize / context_text ----------


def test_summarize_variants(tool_env):
    ok = tool_service.run_tool(
        tool_name="query_customer_profile",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
        session_id="sess-s1",
    )
    text = tool_service.summarize(ok)
    assert "张三" in text and "A" in text

    blocked = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-1001",
        session_id="sess-s2",
    )
    assert "无权访问" in tool_service.summarize(blocked)

    not_found = tool_service.run_tool(
        tool_name="query_customer_profile",
        agent_type="risk",
        actor=ACTOR_RISK,
        customer_id="CUST-NOPE",
        session_id="sess-s3",
    )
    assert "未找到" in tool_service.summarize(not_found)


def test_context_text_empty():
    assert tool_service.context_text([]) == ""


# ---------- T-04 评审补测：入参白名单与边界钳制 ----------


def _run_days(tool_env, days):
    return tool_service.run_tool(
        tool_name="query_recent_trades",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
        tool_input={"days": days},
        session_id="sess-p1",
    )


@pytest.mark.parametrize(
    "raw,expected",
    [(0, 1), (-30, 1), (400, 365), (365, 365), (1, 1), ("7", 7)],
)
def test_days_clamped(tool_env, raw, expected):
    """越界天数钳制到 [1,365]，非整数字符串可转换——防 LLM 传参拉爆查询。"""
    record = _run_days(tool_env, raw)
    assert record["status"] == "success"
    assert record["data"]["days"] == expected


@pytest.mark.parametrize("raw", [7.5, "abc", True, None, [7]])
def test_days_invalid_blocked(tool_env, raw):
    record = _run_days(tool_env, raw)
    assert record["status"] == "blocked" and record["error_code"] == "TOOL_BAD_PARAM"


@pytest.mark.parametrize("extra", [{"foo": 1}, {"customer_id": "CUST-1001"}, {"core_ro": None}])
def test_unknown_param_blocked(tool_env, extra):
    """白名单外入参（含注入参数名）一律拒，避免重复关键字 TypeError 被吞。"""
    record = tool_service.run_tool(
        tool_name="query_recent_trades",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
        tool_input=extra,
        session_id="sess-p2",
    )
    assert record["status"] == "blocked" and record["error_code"] == "TOOL_BAD_PARAM"


def test_tool_without_params_rejects_any_input(tool_env):
    record = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
        tool_input={"days": 7},
        session_id="sess-p3",
    )
    assert record["status"] == "blocked" and record["error_code"] == "TOOL_BAD_PARAM"


# ---------- T-04 评审补测：归属与留痕 ----------


def test_run_tool_blocked_advisor_inactive_rel(tool_env):
    """rel_status='inactive'（非缺失）同样拒绝。"""
    record = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="advisor",
        actor={"actor_id": "STAFF-99999", "roles": ["advisor"], "token_type": "staff"},
        customer_id="CUST-9527",
        session_id="sess-b5",
    )
    assert record["status"] == "blocked" and record["error_code"] == "AUTH_403_NOT_ASSIGNED"


def test_run_tool_blocked_writes_authz_audit(tool_env):
    """P1-2：对话内越权进全局鉴权台账（audit_log + input_guard_log 双写）。"""
    record = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-1001",
        session_id="sess-b6",
    )
    assert record["error_code"] == "AUTH_403_NOT_OWNER"
    audit = tool_env["risk_repo"].audit_logs
    guard = tool_env["risk_repo"].guard_logs
    assert len(audit) == 1
    assert audit[0]["decision"] == "forbidden"
    assert audit[0]["customer_id"] == "CUST-1001"
    assert audit[0]["input_summary"]["code"] == "AUTH_403_NOT_OWNER"
    assert len(guard) == 1
    assert guard[0]["agent_type"] == "customer"
    assert guard[0]["raw_excerpt"] == "AUTH_403_NOT_OWNER"


def test_non_authz_block_skips_authz_audit(tool_env):
    """工具层自身拒绝（TOOL_*）不污染鉴权台账。"""
    tool_service.run_tool(
        tool_name="drop_database",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527",
        session_id="sess-b7",
    )
    assert tool_env["risk_repo"].audit_logs == []
    assert tool_env["risk_repo"].guard_logs == []


def test_audit_degrade_logs_error_with_context(tool_env, monkeypatch, caplog):
    """P1-1：留痕失败仍降级不阻塞，但必须 error 级留底且带定位字段。"""
    def broken_repo():
        raise RuntimeError("repo down")

    monkeypatch.setattr(tool_service, "_session_repo", broken_repo)
    with caplog.at_level(logging.ERROR, logger="app.service.tool_service"):
        record = tool_service.run_tool(
            tool_name="query_holdings",
            agent_type="customer",
            actor=ACTOR_CUSTOMER,
            customer_id="CUST-9527",
            session_id="sess-d2",
            trace_id="trace-d2",
        )
    assert record["status"] == "success"
    entries = [r.getMessage() for r in caplog.records if "agent_tool_call insert failed" in r.getMessage()]
    assert entries and "sess-d2" in entries[0] and "trace-d2" in entries[0]


def test_authz_audit_failure_does_not_break_tool(tool_env, monkeypatch):
    """越权留痕自身故障不影响 blocked 语义。"""
    def broken_repo():
        raise RuntimeError("audit repo down")

    monkeypatch.setattr(tool_service, "_risk_repo", broken_repo)
    record = tool_service.run_tool(
        tool_name="query_holdings",
        agent_type="customer",
        actor=ACTOR_CUSTOMER,
        customer_id="CUST-1001",
        session_id="sess-b8",
    )
    assert record["status"] == "blocked" and record["error_code"] == "AUTH_403_NOT_OWNER"


# ---------- T-04 评审补测：上下文与摘要边界 ----------


def test_context_text_truncates_long_payload():
    big = {"items": [{"name": "x" * 100} for _ in range(50)]}
    record = {"tool_name": "query_holdings", "status": "success", "data": big}
    text = tool_service.context_text([record])
    assert "…(truncated)" in text
    assert len(text) < tool_service._RESULT_CONTEXT_MAX_CHARS + 500


def test_summarize_holdings_shows_first_five_only():
    record = {
        "tool_name": "query_holdings",
        "status": "success",
        "data": {
            "total_count": 25,
            "sum_market_value": 250.0,
            "truncated": False,
            "items": [{"product_name": f"P{i}", "market_value": 10.0} for i in range(25)],
        },
    }
    text = tool_service.summarize(record)
    assert "共 25 笔" in text
    assert text.count("市值") == 6  # 合计 1 次 + 明细 5 条


def test_summarize_holdings_truncated_note():
    record = {
        "tool_name": "query_holdings",
        "status": "success",
        "data": {"total_count": 500, "sum_market_value": 1.0, "truncated": True, "items": []},
    }
    assert "已达拉取上限" in tool_service.summarize(record)


def test_summarize_tool_rejection_not_authz_wording():
    record = {"tool_name": "query_holdings", "status": "blocked", "error_code": "TOOL_BAD_PARAM"}
    text = tool_service.summarize(record)
    assert "无权访问" not in text and "TOOL_BAD_PARAM" in text


# ---------- C5 · FR-9 query_overdue_alerts Tool（直接调函数；需真实 RiskRepository） ----------


def test_query_overdue_alerts_filters_by_hours(sqlite_engine, backdated_alert):
    from app.repository.risk_repository import RiskRepository
    from app.service.risk.chat_tools import query_overdue_alerts

    backdated_alert("ALT-OV-1", "C1", hours_ago=5)  # 超 4h → 命中
    backdated_alert("ALT-OV-2", "C1", hours_ago=2)  # 未达 4h → 不命中
    repo = RiskRepository(engine=sqlite_engine)

    # 缺省 hours = settings.risk_escalation_l1_hours（4）→ 仅 1 张
    data = query_overdue_alerts(None, core_ro=None, risk_repo=repo)
    assert data["overdue_count"] == 1
    assert data["items"][0]["alert_id"] == "ALT-OV-1"
    assert data["items"][0]["overdue_hours"] >= 4

    # 显式 hours=1 → 两张都超期
    data2 = query_overdue_alerts(None, core_ro=None, risk_repo=repo, hours=1)
    assert data2["overdue_count"] == 2

    # 按超期时长降序
    assert data2["items"][0]["overdue_hours"] >= data2["items"][1]["overdue_hours"]


def test_query_overdue_alerts_intent_match_and_summarize(sqlite_engine, backdated_alert):
    """意图词命中 query_overdue_alerts（置于 alert_query 之前）+ summarize 摘要。"""
    from app.repository.risk_repository import RiskRepository
    from app.service.risk.chat_tools import query_overdue_alerts

    backdated_alert("ALT-OV-3", "C1", hours_ago=6)
    repo = RiskRepository(engine=sqlite_engine)
    data = query_overdue_alerts(None, core_ro=None, risk_repo=repo, hours=1)
    assert tool_service.match_intent("risk", "这些预警超时多久没处理了") == "query_overdue_alerts"

    record = {"tool_name": "query_overdue_alerts", "status": "success", "data": data}
    text = tool_service.summarize(record)
    assert "超期预警" in text
    assert "ALT-OV-3" in text