auto-stock/backend/tests/test_swing_pm_hardening_r1_20261009.py

"""[2026-10-09 하드닝 R1] swing/position_manager 회귀 테스트.

1. 진입가 괴리 > 한도 → 유령 고가 entry 로 허위 전량 손절하지 않는다(KIS 평단 사용).
2. Portfolio 태그 daytrading + 비-DT active ActiveTrade → 관리 주체 없는 수량 경보(105560).
3. 스윙 SELL 출처(system/inflow) 분리 — 동기화 유입분이 전략 성과에 섞이지 않게.
"""
import asyncio
import logging
from datetime import datetime, timedelta
from types import SimpleNamespace

import pytest

from app.core.config import settings
from app.services.swing import position_manager as pm


def _run(coro):
    return asyncio.run(coro)


# ── 1. 진입가 해석 ──────────────────────────────────────────────────────────

def test_ghost_high_entry_does_not_trigger_false_stop():
    """유령 entry 100,000 / 실평단 50,000 / 현재가 52,000 → 이전엔 -48% 전량 손절."""
    price, basis = pm.resolve_swing_entry_price_v2(100_000, 50_000, "TEST01")
    assert (price, basis) == (50_000.0, "portfolio_avg_deviation")
    pnl_pct = (52_000 / price - 1.0) * 100
    hard_floor = -abs(float(settings.STOP_LOSS_PERCENT))
    assert pnl_pct > hard_floor, "실제로는 +4% — 손절 판정되면 안 된다"


def test_ghost_low_entry_does_not_delay_stop():
    """반대 방향: 유령 entry 가 낮아도 KIS 평단 기준이므로 손절이 늦춰지지 않는다."""
    pa = 50_000.0
    price, basis = pm.resolve_swing_entry_price_v2(pa * 0.5, pa, "TEST02")
    assert (price, basis) == (pa, "portfolio_avg_deviation")
    hard_floor = -abs(float(settings.STOP_LOSS_PERCENT))
    cur = pa * (1 + (hard_floor - 1.0) / 100)  # 하드 바닥보다 1%p 더 하락
    assert (cur / price - 1.0) * 100 <= hard_floor


def test_within_band_still_uses_active_trade():
    pa = 10_000.0
    at = pa * (1 + pm.SWING_ENTRY_PRICE_MAX_DEVIATION * 0.5)
    assert pm.resolve_swing_entry_price_v2(at, pa) == (pytest.approx(at), "active_trade")


# ── 2. 태그 불일치 탐지 ────────────────────────────────────────────────────

def _p(code, qty, st):
    return SimpleNamespace(stock_code=code, quantity=qty, strategy_type=st)


def _a(code, name, id_=1):
    return SimpleNamespace(stock_code=code, strategy_name=name, id=id_, status="active")


def test_105560_dt_tag_with_synced_active_is_flagged():
    found = pm.find_strategy_tag_mismatches_v2(
        [_p("105560", 3, "daytrading")], [_a("105560", "synced", 178)], {},
    )
    assert len(found) == 1
    m = found[0]
    assert m["stock_code"] == "105560" and m["unmanaged_qty"] == 3
    assert m["active_trade_ids"] == [178]


def test_dt_inmemory_covering_qty_is_not_flagged():
    assert pm.find_strategy_tag_mismatches_v2(
        [_p("105560", 3, "daytrading")], [_a("105560", "synced")], {"105560": 3},
    ) == []
    # 부분 커버 → 잔여만 경보
    found = pm.find_strategy_tag_mismatches_v2(
        [_p("105560", 6, "daytrading")], [_a("105560", "synced")], {"105560": 3},
    )
    assert found[0]["unmanaged_qty"] == 3


@pytest.mark.parametrize("portfolio,active", [
    ([_p("105560", 3, "daytrading")], [_a("105560", "daytrading")]),  # DT 행뿐
    ([_p("105560", 3, "daytrading")], [_a("105560", "day_trade")]),
    ([_p("105560", 3, "swing")], [_a("105560", "synced")]),           # 스윙 태그는 스윙 청산이 봄
    ([_p("105560", 0, "daytrading")], [_a("105560", "synced")]),      # 수량 0
    ([_p("105560", 3, "daytrading")], []),
])
def test_non_mismatch_cases(portfolio, active):
    assert pm.find_strategy_tag_mismatches_v2(portfolio, active, {}) == []


def test_null_strategy_name_counts_as_non_dt():
    found = pm.find_strategy_tag_mismatches_v2(
        [_p("105560", 3, "day_trade")], [_a("105560", None)], {},
    )
    assert found and found[0]["unmanaged_qty"] == 3


class _Res:
    def __init__(self, rows):
        self._rows = rows

    def scalars(self):
        return self

    def all(self):
        return list(self._rows)


class _FakeDB:
    """execute 응답을 순서대로 반환. 예외 항목은 raise. 쓰기 메서드는 예외."""

    def __init__(self, responses):
        self._responses = list(responses)
        self.calls = 0

    async def execute(self, _stmt):
        self.calls += 1
        r = self._responses.pop(0)
        if isinstance(r, BaseException):
            raise r
        return _Res(r)

    def add(self, *_a, **_k):  # pragma: no cover
        raise AssertionError("position_manager 는 쓰기 금지")

    async def commit(self):  # pragma: no cover
        raise AssertionError("position_manager 는 commit 금지")


@pytest.fixture
def _fresh_throttle(monkeypatch):
    from app.core import log_throttle
    monkeypatch.setattr(log_throttle, "_state", {})


@pytest.fixture
def _no_dt_positions(monkeypatch):
    from app.services.daytrading.position_manager import day_trading_state
    monkeypatch.setattr(day_trading_state, "positions", {})


def test_detect_logs_error_for_unmanaged(caplog, _fresh_throttle, _no_dt_positions):
    db = _FakeDB([[_p("105560", 3, "daytrading")], [_a("105560", "synced", 178)]])
    with caplog.at_level(logging.ERROR, logger=pm.logger.name):
        found = _run(pm.detect_strategy_tag_mismatch_v2(db))
    assert [m["stock_code"] for m in found] == ["105560"]
    assert any("105560" in r.message and "손절 없음" in r.message for r in caplog.records)


def test_detect_skips_active_query_when_no_dt_tagged_rows(_no_dt_positions):
    db = _FakeDB([[]])
    assert _run(pm.detect_strategy_tag_mismatch_v2(db)) == []
    assert db.calls == 1


def test_get_swing_holdings_survives_detection_failure(caplog, _no_dt_positions):
    """경보 실패가 청산 대상 조회를 막으면 안 된다(청산 우선)."""
    holding = _p("005930", 5, "swing")
    db = _FakeDB([[holding], RuntimeError("db down")])
    with caplog.at_level(logging.WARNING, logger=pm.logger.name):
        out = _run(pm.get_swing_holdings(db))
    assert list(out) == [holding]
    assert any("탐지 실패" in r.message and r.levelno >= logging.WARNING for r in caplog.records)


def test_dt_snapshot_failure_falls_back_to_alerting(monkeypatch):
    from app.services.daytrading.position_manager import day_trading_state

    class _Boom:
        def keys(self):
            raise RuntimeError("boom")

        def items(self):
            raise RuntimeError("boom")

    monkeypatch.setattr(day_trading_state, "positions", _Boom())
    assert pm._dt_inmemory_qty_snapshot_v2() == {}


# ── 3. 스윙 SELL 출처 분리 ──────────────────────────────────────────────────

def _t(code, side, qty, minutes, st="swing", status="COMPLETED", id_=None):
    return {
        "id": id_, "stock_code": code, "order_type": side, "executed_quantity": qty,
        "created_at": datetime(2026, 10, 1, 9, 0) + timedelta(minutes=minutes),
        "strategy_type": st, "status": status,
    }


def test_sell_without_prior_swing_buy_is_inflow():
    out = pm.split_swing_sells_by_origin_v2([
        _t("022100", "SELL", 10, 0, id_=1),
        _t("022100", "BUY", 5, 10),
        _t("022100", "SELL", 5, 20, id_=3),
    ])
    assert [(o["id"], o["origin"], o["system_qty"], o["inflow_qty"]) for o in out] == [
        (1, "inflow", 0, 10), (3, "system", 5, 0),
    ]


def test_sell_exceeding_system_holding_is_mixed():
    out = pm.split_swing_sells_by_origin_v2([
        _t("009420", "BUY", 3, 0),
        _t("009420", "SELL", 8, 5, id_=2),
    ])
    assert out[0]["origin"] == "mixed"
    assert (out[0]["system_qty"], out[0]["inflow_qty"]) == (3, 5)


def test_unsorted_input_and_ignored_rows():
    out = pm.split_swing_sells_by_origin_v2([
        _t("323410", "SELL", 4, 30, id_=9),
        _t("323410", "BUY", 4, 0, st="daytrading"),        # DT 매수는 스윙 보유 아님
        _t("323410", "BUY", 4, 10, status="FAILED"),       # 실패 매수 무시
        _t("323410", "BUY", 2, 20),
    ])
    assert len(out) == 1
    assert (out[0]["system_qty"], out[0]["inflow_qty"], out[0]["origin"]) == (2, 2, "mixed")


from _swing_redis_guard import _swing_redis_guard  # noqa: E402,F401  (R9: 단독 실행 시 Redis 실접속 방지)