import pytest
from unittest.mock import patch
from fastapi.testclient import TestClient


@pytest.fixture
def client(monkeypatch, tmp_path):
    from app import db as _db
    monkeypatch.setattr(_db, "DB_PATH", str(tmp_path / "stock.db"))
    _db.init_db()
    monkeypatch.setenv("WEBAI_API_KEY", "k")
    from app.main import app
    return TestClient(app)


def _report(client, firing):
    return client.post("/api/webai/trade-alert/report",
                       headers={"X-WebAI-Key": "k"},
                       json={"as_of": "2026-07-02T09:01:00+09:00", "firing": firing})


def test_report_new_edge_sends_and_persists(client):
    firing = [{"ticker": "005930", "name": "삼성전자", "kind": "buy",
               "condition": "buy_breakout", "price": 71500, "detail": {"vol": 2.0}}]
    with patch("app.trade_alerts.notify_agent_office", return_value=True) as m:
        r1 = _report(client, firing)
    assert r1.json()["new_alerts"] == 1
    assert m.called
    # 2번째 동일 firing → 유지, 신규 0
    with patch("app.trade_alerts.notify_agent_office", return_value=True):
        r2 = _report(client, firing)
    assert r2.json()["new_alerts"] == 0
    # 이력 1건
    assert len(client.get("/api/stock/trade-alerts?days=1").json()["alerts"]) == 1


def test_report_send_failure_does_not_persist(client):
    firing = [{"ticker": "005930", "name": "삼성전자", "kind": "buy",
               "condition": "buy_breakout", "price": 71500, "detail": {}}]
    with patch("app.trade_alerts.notify_agent_office", return_value=False):
        r = _report(client, firing)
    assert r.json()["new_alerts"] == 0            # 전송 실패 → 미채택
    # 다음 사이클(전송 성공) 재시도되어 알림
    with patch("app.trade_alerts.notify_agent_office", return_value=True):
        r2 = _report(client, firing)
    assert r2.json()["new_alerts"] == 1


def test_report_cooldown_suppresses_immediate_refire(client):
    """같은 종목·조건이 해제됐다 곧바로 재발화해도 쿨다운(기본 6h) 내면 재알림 억제."""
    firing = [{"ticker": "005930", "name": "삼성", "kind": "buy",
               "condition": "buy_breakout", "price": 71500, "detail": {}}]
    with patch("app.trade_alerts.notify_agent_office", return_value=True):
        assert _report(client, firing).json()["new_alerts"] == 1   # 최초 알림
        _report(client, [])                                        # 해제
        r = _report(client, firing)                                # 즉시 재발화 → 쿨다운 억제
    assert r.json()["new_alerts"] == 0
    assert r.json()["suppressed"] == 1


def test_report_refire_after_cooldown_alerts(client, monkeypatch):
    """쿨다운=0이면 해제 후 재발화 시 재알림."""
    monkeypatch.setenv("TRADE_ALERT_COOLDOWN_HOURS", "0")
    firing = [{"ticker": "005930", "name": "삼성", "kind": "buy",
               "condition": "buy_breakout", "price": 71500, "detail": {}}]
    with patch("app.trade_alerts.notify_agent_office", return_value=True):
        _report(client, firing)
        _report(client, [])
        r = _report(client, firing)
    assert r.json()["new_alerts"] == 1


def test_report_resolves_stock_name_from_watchlist(client):
    """워커 firing에 name이 없어도 NAS가 종목명을 해석해 알림에 포함한다."""
    from app import db
    db.add_watchlist("000660", "SK하이닉스")
    firing = [{"ticker": "000660", "kind": "buy", "condition": "buy_breakout",
               "price": 180000, "detail": {}}]   # name 없음
    with patch("app.trade_alerts.notify_agent_office", return_value=True) as m:
        _report(client, firing)
    sent_alert = m.call_args[0][0][0]
    assert sent_alert["name"] == "SK하이닉스"
    # 이력에도 종목명 기록
    alerts = client.get("/api/stock/trade-alerts?days=1").json()["alerts"]
    assert alerts[0]["name"] == "SK하이닉스"