"""KevinStrategy tests — one behaviour per test, full conviction x action x held grid."""

from datetime import datetime, timedelta, timezone
from decimal import Decimal

import pytest

from shared.schemas.kevin import KevinAccountState, KevinDecisionType
from shared.schemas.meet_kevin import TickerAction, TimeHorizon
from shared.strategies.kevin import KevinStrategy, KevinStrategyConfig


@pytest.fixture
def cfg() -> KevinStrategyConfig:
    return KevinStrategyConfig(
        min_conviction=Decimal("0.6"),
        max_mention_age_hours=48,
        base_position_pct=Decimal("0.04"),
        min_trade_usd=Decimal("500"),
        max_trade_usd=Decimal("5000"),
        max_per_ticker_usd=Decimal("7500"),
        hold_days_by_horizon={
            "days": 3,
            "weeks": 10,
            "months": 45,
            "long_term": 90,
            "unspecified": 10,
        },
        avoid_closes_longs=True,
        avoid_blocks_days=7,
    )


@pytest.fixture
def state() -> KevinAccountState:
    return KevinAccountState(
        equity_usd=Decimal("100000"),
        cash_usd=Decimal("100000"),
        held_positions={},
        blocklisted_symbols=set(),
        daily_trade_count=0,
        daily_alloc_usd=Decimal("0"),
        paused=False,
    )


def _mention(symbol="NVDA", action="buy", conviction="0.7", horizon="weeks", age_hours=1):
    """Lightweight stub matching KevinStockMention attribute access."""
    return type(
        "M",
        (),
        {
            "id": 1,
            "symbol": symbol,
            "action": TickerAction(action) if isinstance(action, str) else action,
            "conviction": Decimal(conviction),
            "time_horizon": TimeHorizon(horizon),
            "rationale_quote": "test",
            "created_at": datetime.now(timezone.utc) - timedelta(hours=age_hours),
        },
    )


async def test_buy_high_conviction_emits_open_long(cfg, state):
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(action="buy", conviction="0.8"),
        state,
        effective_conviction=Decimal("0.8"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.OPEN_LONG
    assert d.symbol == "NVDA"
    # 4% * (0.5 + 0.5*(0.8-0.6)/0.4) = 4% * 0.75 = 3% of 100k = $3000
    assert d.target_dollars == Decimal("3000.00")
    assert d.holding_days == 10  # weeks


async def test_buy_conviction_at_floor_emits_minimum_size(cfg, state):
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(action="buy", conviction="0.6"),
        state,
        effective_conviction=Decimal("0.6"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    # 4% * 0.5 = 2% of 100k = $2000
    assert d.target_dollars == Decimal("2000.00")


async def test_buy_below_min_conviction_is_no_op(cfg, state):
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(action="buy", conviction="0.5"),
        state,
        effective_conviction=Decimal("0.5"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.NO_OP
    assert "min_conviction" in d.rationale.lower()


async def test_buy_mention_too_old_is_no_op(cfg, state):
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(age_hours=72),
        state,
        effective_conviction=Decimal("0.7"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.NO_OP
    assert "age" in d.rationale.lower()


async def test_buy_non_tradable_is_no_op(cfg, state):
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(symbol="OTCXX"),
        state,
        effective_conviction=Decimal("0.7"),
        current_price=Decimal("1"),
        is_tradable=False,
    )
    assert d.decision == KevinDecisionType.NO_OP
    assert "tradable" in d.rationale.lower()


async def test_buy_intraday_horizon_is_no_op(cfg, state):
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(horizon="intraday"),
        state,
        effective_conviction=Decimal("0.7"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.NO_OP


async def test_buy_when_blocklisted_is_no_op(cfg, state):
    state_b = state.model_copy(update={"blocklisted_symbols": {"NVDA"}})
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(),
        state_b,
        effective_conviction=Decimal("0.7"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.NO_OP
    assert "blocklist" in d.rationale.lower()


async def test_buy_at_per_ticker_cap_is_no_op(cfg, state):
    state_full = state.model_copy(
        update={"held_positions": {"NVDA": Decimal("7500")}}
    )
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(),
        state_full,
        effective_conviction=Decimal("0.7"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.NO_OP
    assert "cap" in d.rationale.lower()


async def test_buy_held_below_cap_tops_up_to_cap(cfg, state):
    state_p = state.model_copy(
        update={"held_positions": {"NVDA": Decimal("5000")}}
    )
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(conviction="1.0"),
        state_p,
        effective_conviction=Decimal("1.0"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.OPEN_LONG
    # full target = $4000 (4% of 100k clamped at 5k cap), but per-ticker cap = $7500,
    # already held $5000 -> top up min(4000, 2500) = $2500
    assert d.target_dollars == Decimal("2500.00")


async def test_sell_with_held_emits_close_long(cfg, state):
    state_p = state.model_copy(
        update={"held_positions": {"NVDA": Decimal("3000")}}
    )
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(action="sell"),
        state_p,
        effective_conviction=Decimal("0.7"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.CLOSE_LONG


async def test_sell_without_held_is_no_op(cfg, state):
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(action="sell"),
        state,
        effective_conviction=Decimal("0.7"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.NO_OP


async def test_avoid_with_held_emits_close_long(cfg, state):
    state_p = state.model_copy(
        update={"held_positions": {"NVDA": Decimal("3000")}}
    )
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(action="avoid"),
        state_p,
        effective_conviction=Decimal("0.7"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.CLOSE_LONG


async def test_avoid_without_held_is_no_op_but_blocklists(cfg, state):
    # The strategy itself returns NO_OP; the bridge applies the blocklist
    # side-effect. We assert rationale reflects intent.
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(action="avoid"),
        state,
        effective_conviction=Decimal("0.7"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.NO_OP
    assert "blocklist" in d.rationale.lower() or "avoid" in d.rationale.lower()


async def test_hold_action_never_trades(cfg, state):
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(action="hold"),
        state,
        effective_conviction=Decimal("0.9"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.NO_OP


async def test_watch_action_never_trades(cfg, state):
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(action="watch"),
        state,
        effective_conviction=Decimal("0.9"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.decision == KevinDecisionType.NO_OP


async def test_size_clamps_to_min_trade_usd(cfg, state):
    # Equity small enough that 2% < $500 floor
    small_state = state.model_copy(update={"equity_usd": Decimal("10000")})
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(conviction="0.6"),
        small_state,
        effective_conviction=Decimal("0.6"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    # 2% of $10k = $200 -> clamped to $500
    assert d.target_dollars == Decimal("500.00")


async def test_size_clamps_to_max_trade_usd(cfg, state):
    big_state = state.model_copy(update={"equity_usd": Decimal("1000000")})
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(conviction="1.0"),
        big_state,
        effective_conviction=Decimal("1.0"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    # 4% of $1M = $40k -> clamped to $5k
    assert d.target_dollars == Decimal("5000.00")


async def test_horizon_long_term_maps_to_90_days(cfg, state):
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(horizon="long_term"),
        state,
        effective_conviction=Decimal("0.7"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.holding_days == 90


async def test_horizon_unspecified_defaults_to_weeks(cfg, state):
    d = await KevinStrategy(cfg).evaluate_mention(
        _mention(horizon="unspecified"),
        state,
        effective_conviction=Decimal("0.7"),
        current_price=Decimal("100"),
        is_tradable=True,
    )
    assert d.holding_days == 10