import pandas as pd
import numpy as np
import pytest
from src.indicators import Indicators


@pytest.fixture
def sample_df():
    """100개 캔들 샘플 데이터"""
    np.random.seed(42)
    n = 100
    close = np.cumsum(np.random.randn(n) * 0.01) + 0.5
    df = pd.DataFrame({
        "open":   close * (1 + np.random.randn(n) * 0.001),
        "high":   close * (1 + np.abs(np.random.randn(n)) * 0.005),
        "low":    close * (1 - np.abs(np.random.randn(n)) * 0.005),
        "close":  close,
        "volume": np.random.randint(100000, 1000000, n).astype(float),
    })
    return df


def test_rsi_range(sample_df):
    ind = Indicators(sample_df)
    df = ind.calculate_all()
    assert "rsi" in df.columns
    valid = df["rsi"].dropna()
    assert (valid >= 0).all() and (valid <= 100).all()


def test_macd_columns(sample_df):
    ind = Indicators(sample_df)
    df = ind.calculate_all()
    assert "macd" in df.columns
    assert "macd_signal" in df.columns
    assert "macd_hist" in df.columns


def test_bollinger_bands(sample_df):
    ind = Indicators(sample_df)
    df = ind.calculate_all()
    assert "bb_upper" in df.columns
    assert "bb_lower" in df.columns
    valid = df.dropna()
    assert (valid["bb_upper"] >= valid["bb_lower"]).all()


def test_signal_returns_direction(sample_df):
    ind = Indicators(sample_df)
    df = ind.calculate_all()
    signal = ind.get_signal(df)
    assert signal in ("LONG", "SHORT", "HOLD")