"""
Pytest fixtures for Warren Scanner tests
"""
import pytest
from src.analysis.warren_analyzer import WarrenAnalyzer


@pytest.fixture
def analyzer():
    """Crea istanza WarrenAnalyzer per test"""
    return WarrenAnalyzer()


@pytest.fixture
def normal_stock_data():
    """Dati stock normale e di qualità"""
    return {
        'ticker': 'TEST.MI',
        'name': 'Test Company',
        'sector': 'Industrials',
        'price': 100.0,
        'pe_ratio': 15.0,
        'pb_ratio': 2.0,
        'roe': 0.15,  # 15%
        'debt_to_equity': 0.5,
        'dividend_yield': 0.03,  # 3%
        'revenue_growth': 0.10,  # 10%
        'earnings_growth': 0.12,  # 12%
        'market_cap': 1_000_000_000
    }


@pytest.fixture
def luxury_stock_data():
    """Dati luxury brand (Ferrari-like)"""
    return {
        'ticker': 'RACE.MI',
        'name': 'Ferrari',
        'sector': 'Consumer Cyclical',
        'price': 300.0,
        'pe_ratio': 35.0,
        'pb_ratio': 15.0,
        'roe': 0.35,  # 35%
        'debt_to_equity': 0.3,
        'dividend_yield': 0.01,  # 1%
        'revenue_growth': 0.15,
        'earnings_growth': 0.20,
        'market_cap': 50_000_000_000
    }


@pytest.fixture
def financial_stock_data():
    """Dati banca (debt alto normale)"""
    return {
        'ticker': 'ISP.MI',
        'name': 'Intesa Sanpaolo',
        'sector': 'Financial Services',
        'price': 3.0,
        'pe_ratio': 8.0,
        'pb_ratio': 0.8,
        'roe': 0.10,  # 10%
        'debt_to_equity': 5.0,  # Alto ma normale per banche
        'dividend_yield': 0.05,  # 5%
        'revenue_growth': 0.05,
        'earnings_growth': 0.08,
        'market_cap': 40_000_000_000
    }


@pytest.fixture
def low_quality_stock_data():
    """Dati stock bassa qualità"""
    return {
        'ticker': 'LOWQ.MI',
        'name': 'Low Quality Corp',
        'sector': 'Industrials',
        'price': 50.0,
        'pe_ratio': 50.0,  # PE alto
        'pb_ratio': 5.0,
        'roe': 0.05,  # ROE basso 5%
        'debt_to_equity': 2.5,  # Debt alto
        'dividend_yield': 0.0,  # No dividendo
        'revenue_growth': -0.05,  # Revenue decline
        'earnings_growth': -0.10,  # Earnings decline
        'market_cap': 100_000_000
    }


@pytest.fixture
def crisis_stock_data():
    """Dati stock in crisi (growth fortemente negativo)"""
    return {
        'ticker': 'CRISIS.MI',
        'name': 'Crisis Company',
        'sector': 'Industrials',
        'price': 20.0,
        'pe_ratio': 8.0,  # PE basso per crisi
        'pb_ratio': 0.5,
        'roe': -0.10,  # ROE negativo -10%
        'debt_to_equity': 1.5,
        'dividend_yield': 0.0,
        'revenue_growth': -0.25,  # -25%
        'earnings_growth': -0.30,  # -30% (forte decline)
        'market_cap': 50_000_000
    }