import math
from puga import saturation as s, market, fio


def test_tref_uses_min_and_poisson_floor():
    assert s.tref(60, 40) == 40
    assert s.tref(15, 13) < 13                    # low volume gets a lower bound
    assert s.tref(0, 0) == 0


def test_n_out_penalises_queue_and_thin_demand():
    free = s.n_out(100, 0, 10_000, 5)             # no queue, ample demand
    assert math.isclose(free, 0.25 * 100 / 5)
    assert s.n_out(100, 7000, 10_000, 5) < free   # 70 days of queue cuts it
    assert s.n_out(100, 0, 100, 5) < free         # demand only 1 day of flow cuts it
    assert s.n_out(0, 0, 100, 5) == 0


def test_thin_flag():
    assert s.is_thin(1.3, 100, 5) and not s.is_thin(60, 500, 5)


def test_p_patient_clamps_and_falls_to_bid_when_oversupplied():
    asks = [(100, 50), (110, 50), (120, 50)]
    assert s.p_patient(asks, 10, 20, bid=90, vwap7=105, vwap30=105, ask=100) == 90   # we out-produce flow: sell at bid
    p = s.p_patient(asks, 30, 1, 90, 200, 200, 100)                                  # ample flow: capped by ask level 100
    assert p == 100


def test_walk_treats_mm_null_count_as_unlimited(monkeypatch):
    monkeypatch.setattr(fio, "order_book", lambda m, c, r=False: {
        "SellingOrders": [], "BuyingOrders": [{"ItemCount": 4, "ItemCost": 90}, {"ItemCount": None, "ItemCost": 80}]})
    r = market.walk("X", "AI1", 1000, "sell")
    assert r["filled"] == 1000 and not r["short"] and r["worst"] == 80


def test_effective_supply_ignores_stale_far_asks():
    asks = [(100, 10), (110, 20), (150, 1500)]
    assert s.effective_supply(asks, 100) == 30          # 1500 units at 1.5x are not competition
    assert s.effective_supply(asks, None) == 1530