#!/usr/bin/env python3
"""
Test Advanced Fundamental Analysis Tools
"""
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent))
from src.tools.fundamental import (
analyze_financial_statements,
analyze_earnings_growth,
analyze_analyst_ratings,
analyze_dividend_history
)
def print_financial_statements(ticker: str):
"""Test financial statements analysis"""
print("=" * 60)
print(f"FINANCIAL STATEMENTS ANALYSIS: {ticker}")
print("=" * 60)
result = analyze_financial_statements(ticker)
if "error" in result:
print(f"❌ Error: {result['error']}")
return
print(f"\n📊 Ticker: {result['ticker']}")
print(f"📅 Last Updated: {result['last_updated']}")
if 'income_statement' in result:
print(f"\n📈 INCOME STATEMENT:")
inc = result['income_statement']
print(f" Period: {inc['period']}")
print(f" Revenue: Rp {inc['total_revenue']:,.0f}")
print(f" Gross Profit: Rp {inc['gross_profit']:,.0f}")
print(f" Operating Income: Rp {inc['operating_income']:,.0f}")
print(f" Net Income: Rp {inc['net_income']:,.0f}")
print(f" EBITDA: Rp {inc['ebitda']:,.0f}")
if 'gross_margin' in inc:
print(f"\n Margins:")
print(f" • Gross Margin: {inc['gross_margin']:.2f}%")
print(f" • Operating Margin: {inc['operating_margin']:.2f}%")
print(f" • Net Margin: {inc['net_margin']:.2f}%")
if 'balance_sheet' in result:
print(f"\n💰 BALANCE SHEET:")
bal = result['balance_sheet']
print(f" Period: {bal['period']}")
print(f" Total Assets: Rp {bal['total_assets']:,.0f}")
print(f" Total Liabilities: Rp {bal['total_liabilities']:,.0f}")
print(f" Total Equity: Rp {bal['total_equity']:,.0f}")
print(f" Cash: Rp {bal['cash']:,.0f}")
if 'current_ratio' in bal:
print(f"\n Ratios:")
print(f" • Current Ratio: {bal['current_ratio']:.2f}x")
print(f" • Debt to Assets: {bal['debt_to_assets']:.2f}%")
print(f" • Debt to Equity: {bal['debt_to_equity']:.2f}%")
if 'cash_flow' in result:
print(f"\n💸 CASH FLOW:")
cf = result['cash_flow']
print(f" Period: {cf['period']}")
print(f" Operating Cash Flow: Rp {cf['operating_cash_flow']:,.0f}")
print(f" Investing Cash Flow: Rp {cf['investing_cash_flow']:,.0f}")
print(f" Financing Cash Flow: Rp {cf['financing_cash_flow']:,.0f}")
print(f" Free Cash Flow: Rp {cf['free_cash_flow']:,.0f}")
if 'financial_health' in result:
print(f"\n🏥 FINANCIAL HEALTH:")
health = result['financial_health']
print(f" Score: {health['score']}/100")
print(f" Rating: {health['rating']}")
print(f" Issues: {', '.join(health['issues'])}")
print()
def print_earnings_growth(ticker: str):
"""Test earnings growth analysis"""
print("=" * 60)
print(f"EARNINGS GROWTH ANALYSIS: {ticker}")
print("=" * 60)
result = analyze_earnings_growth(ticker)
if "error" in result:
print(f"❌ Error: {result['error']}")
return
print(f"\n📊 Ticker: {result['ticker']}")
if 'historical_earnings' in result:
print(f"\n📈 HISTORICAL EARNINGS:")
for period in result['historical_earnings']:
print(f" {period['period']}:")
print(f" Revenue: Rp {period['revenue']:,.0f}")
print(f" Net Income: Rp {period['net_income']:,.0f}")
print(f" EBITDA: Rp {period['ebitda']:,.0f}")
if 'yoy_growth' in result:
print(f"\n📊 YEAR-OVER-YEAR GROWTH:")
growth = result['yoy_growth']
print(f" Revenue Growth: {growth.get('revenue_growth', 0):+.2f}%")
print(f" Earnings Growth: {growth.get('earnings_growth', 0):+.2f}%")
print(f" EBITDA Growth: {growth.get('ebitda_growth', 0):+.2f}%")
if 'cagr' in result:
print(f"\n📈 CAGR ({len(result['historical_earnings'])-1} years):")
cagr = result['cagr']
if 'revenue_cagr' in cagr:
print(f" Revenue CAGR: {cagr['revenue_cagr']:+.2f}%")
if 'earnings_cagr' in cagr:
print(f" Earnings CAGR: {cagr['earnings_cagr']:+.2f}%")
if 'growth_rating' in result:
print(f"\n⭐ Growth Rating: {result['growth_rating']}")
print()
def print_analyst_ratings(ticker: str):
"""Test analyst ratings analysis"""
print("=" * 60)
print(f"ANALYST RATINGS: {ticker}")
print("=" * 60)
result = analyze_analyst_ratings(ticker)
if "error" in result:
print(f"❌ Error: {result['error']}")
return
print(f"\n📊 Ticker: {result['ticker']}")
print(f"📅 Analysis Date: {result['analysis_date']}")
if 'analyst_ratings' in result:
print(f"\n👥 ANALYST RECOMMENDATIONS:")
ratings = result['analyst_ratings']
print(f" Total Analysts: {ratings['total_analysts']}")
print(f" Strong Buy: {ratings['strong_buy']}")
print(f" Buy: {ratings['buy']}")
print(f" Hold: {ratings['hold']}")
print(f" Sell: {ratings['sell']}")
print(f" Strong Sell: {ratings['strong_sell']}")
print(f"\n Consensus: {ratings['consensus']}")
if 'earnings_estimates' in result:
print(f"\n💰 EARNINGS ESTIMATES:")
if 'current_quarter' in result['earnings_estimates']:
cq = result['earnings_estimates']['current_quarter']
print(f" Current Quarter ({cq['period']}):")
print(f" Avg Estimate: Rp {cq['avg_estimate']:,.2f}")
print(f" Range: Rp {cq['low_estimate']:,.2f} - Rp {cq['high_estimate']:,.2f}")
print(f" YoY Growth: {cq['growth']:+.2f}%")
if 'revenue_estimates' in result:
print(f"\n📈 REVENUE ESTIMATES:")
if 'current_quarter' in result['revenue_estimates']:
cq = result['revenue_estimates']['current_quarter']
print(f" Current Quarter ({cq['period']}):")
print(f" Avg Estimate: Rp {cq['avg_estimate']:,.0f}")
print(f" YoY Growth: {cq['growth']:+.2f}%")
if 'earnings_calendar' in result:
print(f"\n📅 EARNINGS CALENDAR:")
cal = result['earnings_calendar']
print(f" Next Earnings Date: {cal['earnings_date']}")
print(f" Expected EPS: Rp {cal['earnings_avg']:,.2f}")
print(f" Expected Revenue: Rp {cal['revenue_avg']:,.0f}")
print()
def print_dividend_history(ticker: str):
"""Test dividend history analysis"""
print("=" * 60)
print(f"DIVIDEND HISTORY: {ticker}")
print("=" * 60)
result = analyze_dividend_history(ticker)
if "error" in result:
print(f"❌ Error: {result['error']}")
return
print(f"\n📊 Ticker: {result['ticker']}")
if not result.get('has_dividend', False):
print(f"\n❌ {result.get('message', 'No dividend data')}")
return
if 'dividend_history' in result:
print(f"\n💰 RECENT DIVIDENDS:")
for div in result['dividend_history']:
print(f" {div['date']}: Rp {div['amount']:,.2f}")
if 'dividend_stats' in result:
print(f"\n📊 DIVIDEND STATISTICS:")
stats = result['dividend_stats']
print(f" Latest Dividend: Rp {stats['latest_dividend']:,.2f}")
print(f" Latest Date: {stats['latest_date']}")
print(f" Annual Dividend: Rp {stats['annual_dividend']:,.2f}")
if 'dividend_yield' in stats:
print(f" Dividend Yield: {stats['dividend_yield']:.2f}%")
if 'yoy_growth' in stats:
print(f" YoY Growth: {stats['yoy_growth']:+.2f}%")
print(f" Years Paying: {stats['years_paying']}")
print(f" Consistency: {stats['consistency']}")
if 'dividend_rating' in result:
print(f"\n⭐ Dividend Rating: {result['dividend_rating']}")
print()
if __name__ == "__main__":
ticker = sys.argv[1] if len(sys.argv) > 1 else "BBRI"
print("\n🔍 COMPLETE FUNDAMENTAL ANALYSIS\n")
# Test all analyses
print_financial_statements(ticker)
print_earnings_growth(ticker)
print_analyst_ratings(ticker)
print_dividend_history(ticker)
print("=" * 60)
print("✅ Analysis Complete!")
print("=" * 60)
