"""C1 风控对话 Tool（chat_tools）：四只读 Tool 的输出结构 / alert_id 溯源 /
全局 vs 客户维度 / 归属校验 / 入参白名单 / 空客户分支。

单测层：tool_service.run_tool 直调（sqlite 注入，统一注册表分发）；仓储用
真实 RiskRepository（chat_tools 走 list_alerts 等原方法，落库走同一 sqlite，
不写真 MySQL）。越权双写复用 run_tool 既有口径（写本库 audit_log/input_guard_log）。
"""

from __future__ import annotations

import datetime as _dt

import pytest
from sqlalchemy import text

from _ddl import create_sqlite_engine, seed_suitability_matrix

from langchain_core.messages import AIMessage
from sqlalchemy import text

from app.repository.core_ro import CoreReadOnlyRepository
from app.repository.risk_repository import RiskRepository
from app.repository.session_repository import SessionRepository
from app.service import agent_service, tool_service


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"}


@pytest.fixture()
def risk_env(monkeypatch):
    engine = create_sqlite_engine()
    seed_suitability_matrix(engine)  # AL-05：check_suitability 以矩阵表为 L0 权威
    session_repo = SessionRepository(engine=engine)
    core_ro = CoreReadOnlyRepository(engine=engine)
    risk_repo = RiskRepository(engine=engine)
    now = _dt.datetime.now()
    yesterday = now - _dt.timedelta(days=1)
    with engine.begin() as conn:
        # 客户：CUST-9527 张三（C1 级，近期测评）；CUST-1001 李四（C5 级）
        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),"
                 "        ('CUST-1001', '李四', 60, '教师', 1)")
        )
        conn.execute(
            text("INSERT INTO core_customer_risk (customer_id, risk_code, evaluated_at, expires_at)"
                 " VALUES ('CUST-9527', 'C1', '2026-08-01 10:00:00', '2027-08-01'),"
                 "        ('CUST-1001', 'C5', '2026-08-01 10:00:00', '2027-08-01')")
        )
        # 产品：P-001（R1 级，C1 可购）；P-002（R5 级，C1 不可购）
        conn.execute(
            text("INSERT INTO core_product (product_id, product_name, min_risk_code, product_type)"
                 " VALUES ('P-001', '稳健一号', 'R1', 'fund'),"
                 "        ('P-002', '高风权益', 'R5', 'fund')")
        )
        # advisor 归属：STAFF-10086 与 CUST-9527 active（CUST-1001 无归属，验证 NOT_ASSIGNED）
        conn.execute(
            text("INSERT INTO core_customer_advisor (advisor_id, customer_id, rel_status)"
                 " VALUES ('STAFF-10086', 'CUST-9527', 'active')")
        )
        # 预警：CUST-9527 今日 pending（ALERT-001）+ 昨日 pending（ALERT-002）
        conn.execute(
            text("INSERT INTO risk_alert (alert_id, trace_id, customer_id, trade_id, alert_type,"
                 " triggered_rules, risk_score, status, payload, created_at)"
                 " VALUES ('ALERT-001', 't1', 'CUST-9527', 'TRD-001', 'large_amount',"
                 " '[\"RISK-001\"]', 80, 'pending_review', '{\"summary\":\"大额申购\"}', :now)"),
            {"now": now},
        )
        conn.execute(
            text("INSERT INTO risk_alert (alert_id, trace_id, customer_id, trade_id, alert_type,"
                 " triggered_rules, risk_score, status, payload, created_at)"
                 " VALUES ('ALERT-002', 't2', 'CUST-9527', 'TRD-002', 'freq_trade',"
                 " '[\"RISK-002\"]', 60, 'pending_review', '{\"summary\":\"频繁交易\"}', :yest)"),
            {"yest": yesterday},
        )
        # CUST-1001 一条 pending（验证全局计数 > 单客户）
        conn.execute(
            text("INSERT INTO risk_alert (alert_id, trace_id, customer_id, trade_id, alert_type,"
                 " triggered_rules, risk_score, status, payload, created_at)"
                 " VALUES ('ALERT-900', 't9', 'CUST-1001', 'TRD-900', 'large_amount',"
                 " '[\"RISK-001\"]', 70, 'pending_review', '{\"summary\":\"大额\"}', :now)"),
            {"now": now},
        )
        # AML 名单：full_name='张三' 命中 CUST-9527；'王五' 不命中
        conn.execute(
            text("INSERT INTO risk_aml_list (list_id, list_type, full_name, match_threshold, source,"
                 " is_active) VALUES ('AML-1', 'sanction', '张三', 0.9, 'demo', 1),"
                 " ('AML-2', 'sanction', '王五', 0.9, 'demo', 1)")
        )
    monkeypatch.setattr(tool_service, "_session_repo", lambda: session_repo)
    monkeypatch.setattr(tool_service, "_core_ro", lambda: core_ro)
    monkeypatch.setattr(tool_service, "_risk_repo", lambda: risk_repo)
    yield {"engine": engine, "session_repo": session_repo, "core_ro": core_ro, "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()]


# ---------- 统一注册表分发 ----------


def test_registry_combines_core_and_risk():
    assert tool_service.get_registered_tool("alert_query") is not None
    assert tool_service.get_registered_tool("query_agent_behavior") is not None
    assert tool_service.get_registered_tool("query_holdings") is not None  # core 仍可达
    assert tool_service.get_registered_tool("no_such_tool") is None


# ---------- alert_query：客户维度 / 全局（A-6） ----------


def test_alert_query_customer_scope(risk_env):
    record = tool_service.run_tool(
        tool_name="alert_query", agent_type="customer", actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527", session_id="sess-a1", trace_id="tr-a1",
    )
    assert record["status"] == "success"
    d = record["data"]
    assert d["scope"] == "customer"
    # 今日两条？不：昨日那条不在今日 → pending_count=2, today_pending_count=1
    assert d["pending_count"] == 2
    assert d["today_pending_count"] == 1
    ids = {it["alert_id"] for it in d["items"]}
    assert ids == {"ALERT-001", "ALERT-002"}
    # alert_id 溯源：落库 tool_output 含 alert_id
    row = _tool_rows(risk_env["engine"])[0]
    assert '"ALERT-001"' in row["tool_output"]


def test_alert_query_global_scope_risk_officer(risk_env):
    """A-6：risk_officer 不带客户 → 全量待审（CUST-9527 2 + CUST-1001 1 = 3）。"""
    record = tool_service.run_tool(
        tool_name="alert_query", agent_type="risk", actor=ACTOR_RISK,
        customer_id="", session_id="sess-a2", trace_id="tr-a2",
    )
    assert record["status"] == "success"
    d = record["data"]
    assert d["scope"] == "all"
    assert d["pending_count"] == 3  # 全局待审
    assert d["customer_id"] is None


def test_alert_query_global_blocked_for_customer(risk_env):
    """客户不能查全量（缺绑定客户 → 归属拒绝 AUTH_403_NOT_OWNER）。"""
    record = tool_service.run_tool(
        tool_name="alert_query", agent_type="customer", actor=ACTOR_CUSTOMER,
        customer_id="", session_id="sess-a3",
    )
    assert record["status"] == "blocked" and record["error_code"] == "AUTH_403_NOT_OWNER"


# ---------- customer_context ----------


def test_customer_context_found(risk_env):
    record = tool_service.run_tool(
        tool_name="customer_context", agent_type="risk", actor=ACTOR_RISK,
        customer_id="CUST-9527", session_id="sess-c1",
    )
    assert record["status"] == "success"
    d = record["data"]
    assert d["found"] is True
    assert d["display_name"] == "张三" and d["risk_code"] == "C1"
    assert d["pending_alert_count"] == 2  # 含昨日那条
    assert d["pending_alerts"][0]["alert_id"] == "ALERT-001"


def test_customer_context_not_found(risk_env):
    record = tool_service.run_tool(
        tool_name="customer_context", agent_type="risk", actor=ACTOR_RISK,
        customer_id="CUST-NOPE", session_id="sess-c2",
    )
    assert record["status"] == "success" and record["data"]["found"] is False


def test_customer_context_requires_customer(risk_env):
    record = tool_service.run_tool(
        tool_name="customer_context", agent_type="risk", actor=ACTOR_RISK,
        customer_id="", session_id="sess-c3",
    )
    assert record["status"] == "blocked" and record["error_code"] == "TOOL_BLOCKED_NO_CUSTOMER"


def test_customer_context_scope_blocked(risk_env):
    """customer 查他人上下文 → AUTH_403_NOT_OWNER。"""
    record = tool_service.run_tool(
        tool_name="customer_context", agent_type="customer", actor=ACTOR_CUSTOMER,
        customer_id="CUST-1001", session_id="sess-c4",
    )
    assert record["status"] == "blocked" and record["error_code"] == "AUTH_403_NOT_OWNER"


# ---------- suitability_check ----------


def test_suitability_check_matched(risk_env):
    record = tool_service.run_tool(
        tool_name="suitability_check", agent_type="customer", actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527", tool_input={"product_id": "P-001"}, session_id="sess-s1",
    )
    assert record["status"] == "success"
    d = record["data"]
    assert d["found"] is True
    assert d["is_matched"] is True and d["blocked"] is False
    assert d["match_result"] == "allowed"  # AL-06 main 契约：C1×R1 矩阵 allowed
    assert d["block_response_code"] == "SUIT_OK"


def test_suitability_check_blocked_not_matched(risk_env):
    record = tool_service.run_tool(
        tool_name="suitability_check", agent_type="customer", actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527", tool_input={"product_id": "P-002"}, session_id="sess-s2",
    )
    assert record["status"] == "success"
    d = record["data"]
    assert d["is_matched"] is False and d["blocked"] is True
    assert d["match_result"] == "forbidden" and d["mismatch_type"] == "risk_level"
    assert d["block_response_code"] == "SUIT_RISK_MISMATCH"
    assert d["rule_refs"] == ["JR-AST-012"]


def test_suitability_check_product_not_found(risk_env):
    record = tool_service.run_tool(
        tool_name="suitability_check", agent_type="customer", actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527", tool_input={"product_id": "P-999"}, session_id="sess-s3",
    )
    assert record["status"] == "success" and record["data"]["found"] is False


def test_suitability_check_unknown_param_blocked(risk_env):
    record = tool_service.run_tool(
        tool_name="suitability_check", agent_type="customer", actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527", tool_input={"foo": 1}, session_id="sess-s4",
    )
    assert record["status"] == "blocked" and record["error_code"] == "TOOL_BAD_PARAM"


def test_suitability_check_empty_product_id_not_found(risk_env):
    """空 product_id 经白名单放行但产品缺失 → 结构化 found=False（不抛异常污染对话）。"""
    record = tool_service.run_tool(
        tool_name="suitability_check", agent_type="customer", actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527", tool_input={"product_id": ""}, session_id="sess-s5",
    )
    assert record["status"] == "success" and record["data"]["found"] is False


# ---------- advisor 分支归属（评审 P2：锁死 agent 分支） ----------


def test_advisor_assigned_customer_success(risk_env):
    record = tool_service.run_tool(
        tool_name="customer_context", agent_type="advisor", actor=ACTOR_ADVISOR,
        customer_id="CUST-9527", session_id="sess-ad1",
    )
    assert record["status"] == "success" and record["data"]["found"] is True


def test_advisor_not_assigned_blocked(risk_env):
    record = tool_service.run_tool(
        tool_name="customer_context", agent_type="advisor", actor=ACTOR_ADVISOR,
        customer_id="CUST-1001", session_id="sess-ad2",
    )
    assert record["status"] == "blocked" and record["error_code"] == "AUTH_403_NOT_ASSIGNED"


# ---------- aml_lookup ----------


def test_aml_lookup_hit(risk_env):
    record = tool_service.run_tool(
        tool_name="aml_lookup", agent_type="risk", actor=ACTOR_RISK,
        customer_id="CUST-9527", session_id="sess-m1",
    )
    assert record["status"] == "success"
    d = record["data"]
    assert d["found"] is True and d["hit"] is True
    assert d["active_entry_count"] == 2
    assert d["matched_entries"][0]["full_name"] == "张三"


def test_aml_lookup_no_hit(risk_env):
    record = tool_service.run_tool(
        tool_name="aml_lookup", agent_type="risk", actor=ACTOR_RISK,
        customer_id="CUST-1001", session_id="sess-m2",
    )
    d = record["data"]
    assert d["hit"] is False and d["active_entry_count"] == 2


def test_aml_lookup_customer_scope_blocked(risk_env):
    record = tool_service.run_tool(
        tool_name="aml_lookup", agent_type="customer", actor=ACTOR_CUSTOMER,
        customer_id="CUST-1001", session_id="sess-m3",
    )
    assert record["status"] == "blocked" and record["error_code"] == "AUTH_403_NOT_OWNER"


# ---------- summarize 分支（降级回复可量化） ----------


def test_summarize_risk_tools(risk_env):
    alert = tool_service.run_tool(
        tool_name="alert_query", agent_type="customer", actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527", session_id="sess-z1",
    )
    assert "待审预警" in tool_service.summarize(alert)
    suit = tool_service.run_tool(
        tool_name="suitability_check", agent_type="customer", actor=ACTOR_CUSTOMER,
        customer_id="CUST-9527", tool_input={"product_id": "P-001"}, session_id="sess-z2",
    )
    assert "可购" in tool_service.summarize(suit)
    aml = tool_service.run_tool(
        tool_name="aml_lookup", agent_type="risk", actor=ACTOR_RISK,
        customer_id="CUST-9527", session_id="sess-z3",
    )
    assert "命中在册名单" in tool_service.summarize(aml)


# ---------- C2/C3：risk 分支意图接入 + A-6 验收 + 诱导处置边界 ----------


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)


@pytest.fixture()
def fake_llm(monkeypatch):
    from app.config.settings import settings as app_settings

    llm = FakeLLM()
    monkeypatch.setattr(agent_service, "_llm", llm)
    monkeypatch.setattr(app_settings, "deepseek_api_key", "test-key")
    yield llm
    agent_service.reset_cache()


def test_a6_risk_officer_pending_alerts(fake_llm, risk_env):
    """A-6：risk_officer「今天有多少待审预警」→ 触发 alert_query 全局→回复含待审数。"""
    out = agent_service.chat(
        "risk", [], "今天有多少待审预警",
        session_id="sess-a6", trace_id="tr-a6",
        actor=ACTOR_RISK, customer_id=None,
    )
    assert out["tool_results"][0]["tool_name"] == "alert_query"
    assert out["tool_results"][0]["status"] == "success"
    d = out["tool_results"][0]["data"]
    assert d["scope"] == "all" and d["pending_count"] == 3
    # 工具结果注入 LLM 上下文（[工具查询结果] 段）
    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 and "全量待审" in tool_msgs[0].content
    assert out["has_disclaimer"] is True  # 风控对外口径（guard 附免责声明）


def test_a6_customer_no_intent_still_core_only():
    """C2 隔离：customer 分支不因 risk 关键词误触风控 Tool（'预警' 不在 customer 词表）。"""
    assert tool_service.match_intent("customer", "我的待审预警") is None
    assert tool_service.match_intent("risk", "今天有多少待审预警") == "alert_query"


def test_no_dispose_tool_registered():
    """红线：无任何处置类 Tool，Agent 无法自动处置预警。"""
    assert tool_service.get_registered_tool("dispose_alert") is None


def test_risk_system_prompt_forbids_auto_dispose():
    """红线：risk 系统提示明确禁止自动处置预警。"""
    assert "不得自动处置预警" in agent_service._SYSTEM_PROMPTS["risk"]


def test_induce_dispose_triggers_read_only(fake_llm, risk_env):
    """边界：诱导"处置预警"→ 命中 alert_query 只读查询，预警状态不变（无处置）。"""
    out = agent_service.chat(
        "risk", [], "请帮我处置这条预警 ALERT-001",
        session_id="sess-d1", trace_id="tr-d1",
        actor=ACTOR_RISK, customer_id=None,
    )
    assert out["tool_results"][0]["tool_name"] == "alert_query"
    assert out["tool_results"][0]["status"] == "success"
    # 预警状态未被改变（红线：不自动处置）
    alert = risk_env["risk_repo"].get_alert("ALERT-001")
    assert alert["status"] == "pending_review"