import numpy as np
import pandas as pd
import pytest

from multi_swarm.agents.adversarial import AdversarialAgent, AdversarialReport, Severity
from multi_swarm.protocol.parser import parse_strategy


@pytest.fixture
def ohlcv() -> pd.DataFrame:
    idx = pd.date_range("2024-01-01", periods=500, freq="1h", tz="UTC")
    close = 100 + np.cumsum(np.random.RandomState(0).normal(0.0, 1.0, 500))
    return pd.DataFrame(
        {
            "open": close,
            "high": close + 0.5,
            "low": close - 0.5,
            "close": close,
            "volume": 1.0,
        },
        index=idx,
    )


def test_degenerate_always_long_flagged(ohlcv: pd.DataFrame) -> None:
    src = "(strategy (when (gt (feature close) -1e9) (entry-long)))"
    ast = parse_strategy(src)
    agent = AdversarialAgent()
    report = agent.review(ast, ohlcv)
    assert isinstance(report, AdversarialReport)
    assert any(f.name == "degenerate" and f.severity == Severity.HIGH for f in report.findings)


def test_no_findings_on_reasonable_strategy(ohlcv: pd.DataFrame) -> None:
    src = (
        "(strategy "
        "(when (gt (indicator rsi 14) 70.0) (entry-short)) "
        "(when (lt (indicator rsi 14) 30.0) (entry-long)))"
    )
    ast = parse_strategy(src)
    agent = AdversarialAgent()
    report = agent.review(ast, ohlcv)
    high_findings = [f for f in report.findings if f.severity == Severity.HIGH]
    assert len(high_findings) == 0


def test_zero_trade_strategy_flagged(ohlcv: pd.DataFrame) -> None:
    src = "(strategy (when (gt (feature close) 1e9) (entry-long)))"
    ast = parse_strategy(src)
    agent = AdversarialAgent()
    report = agent.review(ast, ohlcv)
    assert any(f.name == "no_trades" for f in report.findings)