#!/usr/bin/env python3
"""
Stock Oracle Client Usage Examples

This script demonstrates how to use the Stock Oracle Python client
for various data retrieval tasks.
"""

import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from stock_oracle_client import StockOracleClient, ETFDataNotAvailableError, PriceInterval, PeriodType
from datetime import datetime, date, timedelta
import json


def print_section(title):
    """Helper to print section headers"""
    print("\n" + "="*60)
    print(f"  {title}")
    print("="*60)


def example_basic_usage():
    """Basic client usage examples"""
    print_section("BASIC USAGE")
    
    # Initialize client
    client = StockOracleClient("http://localhost:18001")
    
    # Check API health
    health = client.get_health()
    print(f"✅ API Status: {health['status']}")
    print(f"   Version: {health.get('version', 'Unknown')}")
    
    # Get financial data for Apple
    print("\n📊 Financial Data (AAPL - Last Year):")
    financial = client.get_financial_data("AAPL", period="1y")
    print(f"   Company: {financial['company']['name']}")
    print(f"   Sector: {financial['company'].get('sector', 'N/A')}")
    print(f"   Data points: {len(financial['financial_data'])}")
    
    if financial['financial_data']:
        latest = financial['financial_data'][0]
        print(f"   Latest filing: {latest['date']}")
        if 'metrics' in latest:
            metrics = latest['metrics']
            print(f"   P/E Ratio: {metrics.get('pe_ratio', 'N/A')}")
            print(f"   ROE: {metrics.get('return_on_equity', 'N/A'):.2%}" if metrics.get('return_on_equity') else "   ROE: N/A")
    
    # Get price data
    print("\n📈 Price Data (AAPL - Last 3 Months):")
    prices = client.get_price_data("AAPL", period="3m")
    print(f"   Data points: {len(prices['price_data'])}")
    if prices['price_data']:
        latest = prices['price_data'][-1]
        print(f"   Latest date: {latest['date']}")
        print(f"   Close: ${latest['close']:.2f}")
        print(f"   Volume: {latest['volume']:,}")


def example_etf_holdings():
    """ETF holdings examples with availability checking"""
    print_section("ETF HOLDINGS")
    
    client = StockOracleClient("http://localhost:18001")
    
    # Get current ETF holdings
    print("\n📊 Current Holdings (QQQ):")
    etf = client.get_etf_holdings("QQQ", include_holdings=True)
    if etf['success']:
        print(f"   As of: {etf['as_of_date']}")
        print(f"   Total holdings: {etf['data']['holdings_count']}")
        print(f"   Total value: ${etf['data']['filing_info']['total_value']:,.2f}")
        
        # Show top 5 holdings
        if etf['data']['holdings']:
            print("\n   Top 5 Holdings:")
            for i, holding in enumerate(etf['data']['holdings'][:5], 1):
                print(f"   {i}. {holding['name']}: {holding['percentage']:.2f}%")
    
    # Check availability for historical date
    print("\n📅 Availability Check (QQQM on 2020-01-01):")
    availability = client.check_etf_availability("QQQM", "2020-01-01")
    
    if not availability.get('exists_for_date'):
        print(f"   ❌ ETF did not exist on 2020-01-01")
        if availability.get('etf_launch_date'):
            print(f"   Launch date: {availability['etf_launch_date']}")
        if availability.get('available_date_range'):
            date_range = availability['available_date_range']
            print(f"   Available from: {date_range['start']} to {date_range['end']}")
    
    # Try with fallback
    print("\n🔄 ETF Holdings with Fallback (QQQM):")
    try:
        etf = client.get_etf_holdings_with_fallback("QQQM", "2020-01-01", include_holdings=False)
        print(f"   ✅ Got data for: {etf['as_of_date']}")
        print(f"   Holdings count: {etf['data']['holdings_count']}")
    except ETFDataNotAvailableError as e:
        print(f"   ❌ No data available: {e}")


def example_bulk_operations():
    """Bulk data retrieval examples"""
    print_section("BULK OPERATIONS")
    
    client = StockOracleClient("http://localhost:18001")
    
    # Bulk financial data
    print("\n💼 Bulk Financial Data (Tech Giants):")
    tickers = ["AAPL", "MSFT", "GOOGL", "AMZN", "META"]
    bulk_financial = client.get_bulk_financial_data(
        tickers,
        period="6m",
        period_type=PeriodType.QUARTERLY,
        include_metrics=True
    )
    
    print(f"   Requested: {len(bulk_financial['requested_tickers'])} tickers")
    print(f"   Successful: {len(bulk_financial['results'])}")
    
    # Show summary for each ticker
    for ticker in tickers:
        if ticker in bulk_financial['results']:
            data = bulk_financial['results'][ticker]
            if data['financial_data']:
                latest = data['financial_data'][0]
                print(f"   {ticker}: Latest filing {latest['date']}")
    
    # Bulk ETF holdings
    print("\n📊 Bulk ETF Holdings:")
    etf_tickers = ["QQQ", "SPY", "ARKK", "IWM"]
    bulk_etf = client.get_bulk_etf_holdings(etf_tickers, include_holdings=False)
    
    print(f"   Total ETFs: {bulk_etf['total']}")
    print(f"   Successful: {bulk_etf['successful']}")
    
    for ticker, data in bulk_etf['results'].items():
        if data.get('success'):
            print(f"   {ticker}: {data['data']['holdings_count']} holdings as of {data['as_of_date']}")


def example_advanced_queries():
    """Advanced query examples with date ranges and intervals"""
    print_section("ADVANCED QUERIES")
    
    client = StockOracleClient("http://localhost:18001")
    
    # Specific date range query
    print("\n📅 Date Range Query (Q1 2024):")
    start_date = date(2024, 1, 1)
    end_date = date(2024, 3, 31)
    
    financial = client.get_financial_data(
        "MSFT",
        start_date=start_date,
        end_date=end_date,
        period_type=PeriodType.QUARTERLY
    )
    
    print(f"   Period: {start_date} to {end_date}")
    print(f"   Data points: {len(financial['financial_data'])}")
    
    # Different price intervals
    print("\n⏰ Price Data with Different Intervals:")
    intervals = [
        (PriceInterval.ONE_DAY, "Daily"),
        (PriceInterval.ONE_WEEK, "Weekly"),
        (PriceInterval.ONE_MONTH, "Monthly")
    ]
    
    for interval, label in intervals:
        prices = client.get_price_data(
            "TSLA",
            period="3m",
            interval=interval
        )
        print(f"   {label}: {len(prices['price_data'])} data points")
    
    # Historical ETF data
    print("\n📜 Historical ETF Data (SPY - 1 year ago):")
    one_year_ago = (datetime.now() - timedelta(days=365)).date()
    
    try:
        etf = client.get_etf_holdings("SPY", as_of_date=one_year_ago, include_holdings=False)
        if etf['success']:
            print(f"   Date: {etf['as_of_date']}")
            print(f"   Holdings: {etf['data']['holdings_count']}")
            print(f"   Total value: ${etf['data']['filing_info']['total_value']:,.2f}")
    except ETFDataNotAvailableError as e:
        print(f"   ❌ Data not available: {e}")


def example_error_handling():
    """Error handling examples"""
    print_section("ERROR HANDLING")
    
    client = StockOracleClient("http://localhost:18001", auto_retry=True, max_retries=2)
    
    # Invalid ticker
    print("\n❌ Invalid Ticker Test:")
    try:
        data = client.get_financial_data("INVALID123", period="1m")
    except Exception as e:
        print(f"   Expected error: {e}")
    
    # ETF that didn't exist on date
    print("\n❌ ETF Before Launch Date:")
    try:
        etf = client.get_etf_holdings("ARKK", as_of_date="2010-01-01")
    except ETFDataNotAvailableError as e:
        print(f"   Expected error: {e}")
        if e.availability_info:
            print(f"   ETF launch date: {e.availability_info.get('etf_launch_date', 'Unknown')}")
    
    # Ticker validation
    print("\n✅ Ticker Validation:")
    valid_tickers = ["AAPL", "MSFT", "INVALID"]
    for ticker in valid_tickers:
        is_valid = client.validate_ticker(ticker)
        print(f"   {ticker}: {'Valid ✅' if is_valid else 'Invalid ❌'}")


def example_utilities():
    """Utility functions and helper methods"""
    print_section("UTILITY FUNCTIONS")
    
    client = StockOracleClient("http://localhost:18001")
    
    # Get supported ETFs
    print("\n📋 Supported ETFs:")
    supported = client.get_supported_etfs()
    print(f"   Total: {supported['total_etfs']} ETFs")
    print(f"   Examples: {', '.join(supported['supported_tickers'][:10])}...")
    
    # Search tickers (client-side)
    print("\n🔍 Ticker Search:")
    queries = ["AA", "APP", "GO"]
    for query in queries:
        results = client.search_tickers(query)
        print(f"   '{query}': {results}")
    
    # Get latest filing date
    print("\n📅 Latest Filing Dates:")
    tickers = ["AAPL", "MSFT", "GOOGL"]
    for ticker in tickers:
        filing_date = client.get_latest_filing_date(ticker)
        print(f"   {ticker}: {filing_date if filing_date else 'N/A'}")
    
    # Get data catalog
    print("\n📚 Data Catalog Sample:")
    catalog = client.get_data_catalog()
    if 'categories' in catalog:
        for category, fields in list(catalog['categories'].items())[:2]:
            print(f"   {category}: {len(fields)} fields")


def main():
    """Run all examples"""
    print("\n" + "="*60)
    print("  STOCK ORACLE CLIENT EXAMPLES")
    print("="*60)
    print("\nMake sure the API is running at http://localhost:18001")
    
    try:
        # Run examples
        example_basic_usage()
        example_etf_holdings()
        example_bulk_operations()
        example_advanced_queries()
        example_error_handling()
        example_utilities()
        
        print("\n" + "="*60)
        print("  ✅ ALL EXAMPLES COMPLETED SUCCESSFULLY")
        print("="*60)
        
    except Exception as e:
        print(f"\n❌ Error running examples: {e}")
        import traceback
        traceback.print_exc()


if __name__ == "__main__":
    main()