"""
Stock Oracle Python Client

A comprehensive Python client library for accessing the Stock Oracle API.
Provides easy-to-use methods for retrieving financial, price, and ETF holdings data.

Usage:
    from stock_oracle_client import StockOracleClient
    
    client = StockOracleClient("http://localhost:18001")
    
    # Get financial data using period
    data = client.get_financial_data("AAPL", period="1y")
    
    # Get price data using date range  
    prices = client.get_price_data("MSFT", start_date="2024-01-01", end_date="2024-12-31")
    
    # Get ETF holdings
    etf = client.get_etf_holdings("QQQ", as_of_date="2024-01-01")
"""

import requests
import json
from datetime import datetime, date, timedelta
from typing import Dict, List, Optional, Union, Any, Tuple
import logging
from enum import Enum

logger = logging.getLogger(__name__)


class StockOracleError(Exception):
    """Base exception for Stock Oracle client errors"""
    pass


class StockOracleAPIError(StockOracleError):
    """API-specific errors"""
    def __init__(self, message: str, status_code: int = None, response_data: Dict = None):
        super().__init__(message)
        self.status_code = status_code
        self.response_data = response_data


class ETFDataNotAvailableError(StockOracleError):
    """ETF data not available for requested date"""
    def __init__(self, message: str, availability_info: Dict = None):
        super().__init__(message)
        self.availability_info = availability_info


class PriceInterval(Enum):
    """Valid price data intervals"""
    ONE_MINUTE = "1m"
    TWO_MINUTES = "2m"
    FIVE_MINUTES = "5m"
    FIFTEEN_MINUTES = "15m"
    THIRTY_MINUTES = "30m"
    SIXTY_MINUTES = "60m"
    NINETY_MINUTES = "90m"
    ONE_HOUR = "1h"
    ONE_DAY = "1d"
    FIVE_DAYS = "5d"
    ONE_WEEK = "1wk"
    ONE_MONTH = "1mo"
    THREE_MONTHS = "3mo"


class PeriodType(Enum):
    """Period types for financial data"""
    QUARTERLY = "quarterly"
    ANNUAL = "annual"
    ALL = "all"


class StockOracleClient:
    """
    Python client for Stock Oracle API
    
    Args:
        base_url: Base URL of the Stock Oracle API (e.g., "http://localhost:18001")
        api_key: Optional API key for authentication (not implemented yet)
        timeout: Request timeout in seconds (default: 30)
        auto_retry: Automatically retry failed requests (default: True)
        max_retries: Maximum number of retries (default: 3)
    """
    
    def __init__(
        self, 
        base_url: str, 
        api_key: Optional[str] = None, 
        timeout: int = 30,
        auto_retry: bool = True,
        max_retries: int = 3
    ):
        self.base_url = base_url.rstrip('/')
        self.api_key = api_key
        self.timeout = timeout
        self.auto_retry = auto_retry
        self.max_retries = max_retries
        self.session = requests.Session()
        
        # Set up session headers
        self.session.headers.update({
            'Content-Type': 'application/json',
            'Accept': 'application/json',
            'User-Agent': 'StockOracle-Python-Client/2.0.0'
        })
        
        if api_key:
            self.session.headers['Authorization'] = f'Bearer {api_key}'
    
    def _make_request(self, method: str, endpoint: str, **kwargs) -> Dict:
        """
        Make HTTP request to API with retry logic
        
        Args:
            method: HTTP method (GET, POST, etc.)
            endpoint: API endpoint path
            **kwargs: Additional arguments for requests
            
        Returns:
            Parsed JSON response
            
        Raises:
            StockOracleAPIError: On API errors
        """
        url = f"{self.base_url}{endpoint}"
        kwargs.setdefault('timeout', self.timeout)
        
        retries = 0
        while retries <= (self.max_retries if self.auto_retry else 0):
            try:
                response = self.session.request(method, url, **kwargs)
                response.raise_for_status()
                return response.json()
                
            except requests.exceptions.HTTPError as e:
                try:
                    error_data = response.json()
                except (ValueError, AttributeError):
                    error_data = {"message": response.text}
                
                # Don't retry on client errors (4xx)
                if response.status_code < 500:
                    raise StockOracleAPIError(
                        f"API Error: {error_data.get('message', error_data.get('detail', str(e)))}",
                        status_code=response.status_code,
                        response_data=error_data
                    )
                
                # Retry on server errors (5xx)
                retries += 1
                if retries > self.max_retries:
                    raise StockOracleAPIError(
                        f"API Error after {self.max_retries} retries: {error_data.get('message', str(e))}",
                        status_code=response.status_code,
                        response_data=error_data
                    )
                    
            except requests.exceptions.RequestException as e:
                retries += 1
                if retries > self.max_retries:
                    raise StockOracleAPIError(f"Request Error after {self.max_retries} retries: {str(e)}")
    
    def _format_date(self, date_obj: Union[str, date, datetime]) -> str:
        """Format date object to API-compatible string"""
        if isinstance(date_obj, str):
            return date_obj
        elif isinstance(date_obj, datetime):
            return date_obj.date().isoformat()
        elif isinstance(date_obj, date):
            return date_obj.isoformat()
        else:
            raise ValueError(f"Invalid date type: {type(date_obj)}")
    
    # ============= Health & Status =============
    
    def get_health(self) -> Dict:
        """
        Get API health status
        
        Returns:
            Health status information
        """
        return self._make_request('GET', '/api/v1/health')
    
    def get_detailed_health(self) -> Dict:
        """
        Get detailed health status including database and cache
        
        Returns:
            Detailed health status
        """
        return self._make_request('GET', '/api/v1/health/detailed')
    
    
    # ============= Financial Data API =============
    
    def get_financial_data(
        self,
        ticker: str,
        start_date: Optional[Union[str, date, datetime]] = None,
        end_date: Optional[Union[str, date, datetime]] = None,
        quarters: Optional[List[str]] = None,
        period: Optional[str] = None,
        period_type: Union[str, PeriodType] = PeriodType.ALL,
        include_metrics: bool = True,
        force_refresh: bool = False
    ) -> Dict:
        """
        Get financial data for a stock ticker
        
        ⚠️  IMPORTANT: Period parameter now uses yesterday as end date to ensure data availability
        
        Args:
            ticker: Stock ticker symbol (e.g., "AAPL")
            start_date: Start date (string, date, or datetime)
            end_date: End date (string, date, or datetime)  
            quarters: List of quarters (e.g., ["2024Q1", "2024Q2"])
            period: Period string (e.g., "1d", "3m", "2y") - automatically excludes today's data
            period_type: Type of periods (PeriodType enum or string)
            include_metrics: Include calculated metrics
            force_refresh: Force refresh from SEC data
            
        Returns:
            Financial data response
            
        Note:
            Must specify exactly one of: (start_date + end_date), quarters, or period
        """
        if isinstance(period_type, PeriodType):
            period_type = period_type.value
            
        data = {
            "ticker": ticker,
            "period_type": period_type,
            "include_metrics": include_metrics,
            "force_refresh": force_refresh
        }
        
        # Add time parameters
        if period:
            data["period"] = period
        elif quarters:
            data["quarters"] = quarters
        elif start_date and end_date:
            data["start_date"] = self._format_date(start_date)
            data["end_date"] = self._format_date(end_date)
        else:
            # Default to last year
            data["period"] = "1y"
        
        return self._make_request('POST', '/api/v1/financial/data', json=data)
    
    # ============= Price Data API =============
    
    def get_price_data(
        self,
        ticker: str,
        start_date: Optional[Union[str, date, datetime]] = None,
        end_date: Optional[Union[str, date, datetime]] = None,
        quarters: Optional[List[str]] = None,
        period: Optional[str] = None,
        interval: Union[str, PriceInterval] = PriceInterval.ONE_DAY,
        force_refresh: bool = False
    ) -> Dict:
        """
        Get price data for a stock ticker
        
        ⚠️  IMPORTANT: Period parameter now uses yesterday as end date to ensure data availability
        
        Args:
            ticker: Stock ticker symbol (e.g., "AAPL")
            start_date: Start date (string, date, or datetime)
            end_date: End date (string, date, or datetime)
            quarters: List of quarters (e.g., ["2024Q1", "2024Q2"])
            period: Period string (e.g., "1d", "3m", "2y") - automatically excludes today's data
            interval: Data interval (PriceInterval enum or string)
            force_refresh: Force refresh from Yahoo Finance
            
        Returns:
            Price data response
            
        Note:
            Must specify exactly one of: (start_date + end_date), quarters, or period
        """
        if isinstance(interval, PriceInterval):
            interval = interval.value
            
        data = {
            "ticker": ticker,
            "interval": interval,
            "force_refresh": force_refresh
        }
        
        # Add time parameters
        if period:
            data["period"] = period
        elif quarters:
            data["quarters"] = quarters
        elif start_date and end_date:
            data["start_date"] = self._format_date(start_date)
            data["end_date"] = self._format_date(end_date)
        else:
            # Default to last year
            data["period"] = "1y"
        
        return self._make_request('POST', '/api/v1/price/data', json=data)
    
    # ============= Bulk Data API =============
    
    def get_bulk_financial_data(
        self,
        tickers: List[str],
        start_date: Optional[Union[str, date, datetime]] = None,
        end_date: Optional[Union[str, date, datetime]] = None,
        quarters: Optional[List[str]] = None,
        period: Optional[str] = None,
        period_type: Union[str, PeriodType] = PeriodType.ALL,
        include_metrics: bool = True,
        force_refresh: bool = False
    ) -> Dict:
        """
        Get financial data for multiple stock tickers
        
        ⚠️  IMPORTANT: Period parameter now uses yesterday as end date to ensure data availability
        
        Args:
            tickers: List of stock ticker symbols (max 500)
            start_date: Start date (string, date, or datetime)
            end_date: End date (string, date, or datetime)
            quarters: List of quarters (e.g., ["2024Q1", "2024Q2"])  
            period: Period string (e.g., "1d", "3m", "2y") - automatically excludes today's data
            period_type: Type of periods (PeriodType enum or string)
            include_metrics: Include calculated metrics
            force_refresh: Force refresh from SEC data
            
        Returns:
            Bulk financial data response
            
        Note:
            Must specify exactly one of: (start_date + end_date), quarters, or period
        """
        if isinstance(period_type, PeriodType):
            period_type = period_type.value
            
        data = {
            "tickers": tickers,
            "period_type": period_type,
            "include_metrics": include_metrics,
            "force_refresh": force_refresh
        }
        
        # Add time parameters
        if period:
            data["period"] = period
        elif quarters:
            data["quarters"] = quarters
        elif start_date and end_date:
            data["start_date"] = self._format_date(start_date)
            data["end_date"] = self._format_date(end_date)
        else:
            # Default to last year
            data["period"] = "1y"
        
        return self._make_request('POST', '/api/v1/financial/data/bulk', json=data)
    
    def get_bulk_price_data(
        self,
        tickers: List[str],
        start_date: Optional[Union[str, date, datetime]] = None,
        end_date: Optional[Union[str, date, datetime]] = None,
        quarters: Optional[List[str]] = None,
        period: Optional[str] = None,
        interval: Union[str, PriceInterval] = PriceInterval.ONE_DAY,
        force_refresh: bool = False
    ) -> Dict:
        """
        Get price data for multiple stock tickers
        
        ⚠️  IMPORTANT: Period parameter now uses yesterday as end date to ensure data availability
        
        Args:
            tickers: List of stock ticker symbols (max 500)
            start_date: Start date (string, date, or datetime)
            end_date: End date (string, date, or datetime)
            quarters: List of quarters (e.g., ["2024Q1", "2024Q2"])
            period: Period string (e.g., "1d", "3m", "2y") - automatically excludes today's data
            interval: Data interval (PriceInterval enum or string)
            force_refresh: Force refresh from Yahoo Finance
            
        Returns:
            Bulk price data response
            
        Note:
            Must specify exactly one of: (start_date + end_date), quarters, or period
        """
        if isinstance(interval, PriceInterval):
            interval = interval.value
            
        data = {
            "tickers": tickers,
            "interval": interval,
            "force_refresh": force_refresh
        }
        
        # Add time parameters
        if period:
            data["period"] = period
        elif quarters:
            data["quarters"] = quarters
        elif start_date and end_date:
            data["start_date"] = self._format_date(start_date)
            data["end_date"] = self._format_date(end_date)
        else:
            # Default to last year
            data["period"] = "1y"
        
        return self._make_request('POST', '/api/v1/price/data/bulk', json=data)
    
    
    # ============= News & Social Media API =============
    
    def get_news_social_data(
        self,
        ticker: str,
        days_back: int = 7,
        max_articles: int = 20,
        max_social_posts: int = 15,
        include_social: bool = True
    ) -> Dict:
        """
        Get news and social media data for a stock ticker
        
        Args:
            ticker: Stock ticker symbol (e.g., "AAPL")
            days_back: Number of days to look back (default: 7)
            max_articles: Maximum number of news articles (default: 20)
            max_social_posts: Maximum number of social posts (default: 15)
            include_social: Include social media data (default: True)
            
        Returns:
            News and social media data response
        """
        params = {
            "days_back": days_back,
            "max_articles": max_articles,
            "max_social_posts": max_social_posts,
            "include_social": str(include_social).lower()
        }
        
        return self._make_request('GET', f'/api/v1/news/{ticker}', params=params)
    
    def get_news_only(
        self,
        ticker: str,
        days_back: int = 7,
        max_articles: int = 30
    ) -> Dict:
        """
        Get news data only (faster response)
        
        Args:
            ticker: Stock ticker symbol (e.g., "AAPL")
            days_back: Number of days to look back (default: 7)
            max_articles: Maximum number of news articles (default: 30)
            
        Returns:
            News data response
        """
        params = {
            "days_back": days_back,
            "max_articles": max_articles
        }
        
        return self._make_request('GET', f'/api/v1/news/{ticker}/news-only', params=params)
    
    def get_social_only(
        self,
        ticker: str,
        days_back: int = 7,
        max_social_posts: int = 20
    ) -> Dict:
        """
        Get social media data only
        
        Args:
            ticker: Stock ticker symbol (e.g., "AAPL")
            days_back: Number of days to look back (default: 7)
            max_social_posts: Maximum number of social posts (default: 20)
            
        Returns:
            Social media data response
        """
        params = {
            "days_back": days_back,
            "max_social_posts": max_social_posts
        }
        
        return self._make_request('GET', f'/api/v1/news/{ticker}/social-only', params=params)

    # ============= News v2 — multi-source structured ingest =============

    def get_news_headlines(
        self,
        symbols: Optional[Union[str, List[str]]] = None,
        start: Optional[str] = None,
        end: Optional[str] = None,
        sources: Optional[Union[str, List[str]]] = None,
        limit: int = 100,
        cursor: Optional[str] = None,
    ) -> Dict:
        """
        Fetch raw multi-source news headlines (Alpaca News, StockTwits, Finnhub, GDELT).

        Args:
            symbols: Ticker(s) — string "AAPL" or list ["AAPL", "MSFT"]. Max 50.
            start: UTC ISO datetime lower bound (inclusive)
            end:   UTC ISO datetime upper bound (exclusive)
            sources: Optional filter, subset of {alpaca_benzinga, stocktwits, finnhub, gdelt}
            limit: Max rows (1-500, default 100)
            cursor: published_at_lt cursor (ISO datetime) for pagination
        """
        params: Dict[str, Any] = {"limit": limit}
        if symbols is not None:
            params["symbols"] = symbols if isinstance(symbols, str) else ",".join(symbols)
        if start is not None:
            params["start"] = start
        if end is not None:
            params["end"] = end
        if sources is not None:
            params["sources"] = sources if isinstance(sources, str) else ",".join(sources)
        if cursor is not None:
            params["cursor"] = cursor
        return self._make_request("GET", "/api/v1/news/v2/headlines", params=params)

    def get_news_session_aggregate(
        self,
        symbol: str,
        session_date: str,
        window: str = "premarket",
        sources: Optional[Union[str, List[str]]] = None,
        force_refresh: bool = False,
    ) -> Dict:
        """
        Session-aggregated news for one ticker.

        Args:
            symbol: Ticker
            session_date: ET session date (YYYY-MM-DD)
            window: One of "premarket", "intraday", "post", "full_session"
            sources: Optional source filter
            force_refresh: Bypass Redis cache
        """
        params: Dict[str, Any] = {
            "symbol": symbol,
            "session_date": session_date,
            "window": window,
            "force_refresh": str(force_refresh).lower(),
        }
        if sources is not None:
            params["sources"] = sources if isinstance(sources, str) else ",".join(sources)
        return self._make_request("GET", "/api/v1/news/v2/session_aggregate", params=params)

    def get_news_session_aggregate_batch(
        self,
        session_date: str,
        window: str,
        symbols: List[str],
        sources: Optional[List[str]] = None,
    ) -> Dict:
        """
        Batch session-aggregated news. Up to 200 tickers per call.

        fithia2's V49 backtest hot path — call once per session, cache locally.
        """
        body: Dict[str, Any] = {
            "session_date": session_date,
            "window": window,
            "symbols": symbols,
        }
        if sources is not None:
            body["sources"] = sources
        return self._make_request("POST", "/api/v1/news/v2/session_aggregate/batch", json=body)

    def get_news_coverage(self, source: str, symbol: Optional[str] = None) -> Dict:
        """
        Per-source ingest depth probe — call before backtest window selection.

        Args:
            source: One of {alpaca_benzinga, stocktwits, finnhub, gdelt}
            symbol: Optional ticker filter
        """
        params: Dict[str, Any] = {"source": source}
        if symbol is not None:
            params["symbol"] = symbol
        return self._make_request("GET", "/api/v1/news/v2/coverage", params=params)

    # ============= Metadata & Catalog =============
    
    def get_data_catalog(self) -> Dict:
        """
        Get data field catalog
        
        Returns:
            Data catalog with field descriptions
        """
        return self._make_request('GET', '/api/v1/metadata/catalog')
    
    def get_error_logs(
        self,
        limit: int = 100,
        offset: int = 0,
        min_level: str = "ERROR"
    ) -> Dict:
        """
        Get error logs (admin)
        
        Args:
            limit: Number of logs to retrieve
            offset: Pagination offset
            min_level: Minimum log level (ERROR, WARNING, INFO)
            
        Returns:
            Error logs
        """
        params = {
            "limit": limit,
            "offset": offset,
            "min_level": min_level
        }
        return self._make_request('GET', '/api/v1/admin/errors', params=params)
    
    # ============= Migration & Admin =============
    
    def migrate_data(
        self,
        source_url: str,
        api_key: str,
        tickers: Optional[List[str]] = None,
        start_date: Optional[Union[str, date, datetime]] = None,
        end_date: Optional[Union[str, date, datetime]] = None
    ) -> Dict:
        """
        Migrate data from another Stock Oracle instance
        
        Args:
            source_url: Source API URL
            api_key: API key for migration
            tickers: Specific tickers to migrate (optional)
            start_date: Start date for migration (optional)
            end_date: End date for migration (optional)
            
        Returns:
            Migration status
        """
        data = {
            "source_url": source_url,
            "api_key": api_key
        }
        
        if tickers:
            data["tickers"] = tickers
        if start_date:
            data["start_date"] = self._format_date(start_date)
        if end_date:
            data["end_date"] = self._format_date(end_date)
        
        # Server expects X-API-Key header (dependency verify_migration_key)
        headers = {"X-API-Key": api_key}
        return self._make_request('POST', '/api/v1/admin/migrate', json=data, headers=headers)
    
    # ============= Utility Methods =============
    
    def search_tickers(self, query: str) -> List[str]:
        """
        Search for ticker symbols (client-side)
        
        Args:
            query: Search query
            
        Returns:
            List of matching ticker symbols
        """
        # This is a placeholder - you might want to implement a real search
        # against a ticker database or API endpoint
        common_tickers = [
            "AAPL", "MSFT", "GOOGL", "AMZN", "META", "TSLA", "NVDA",
            "QQQ", "SPY", "IWM", "EFA", "EEM", "VTI", "VOO", "ARKK"
        ]
        query = query.upper()
        return [t for t in common_tickers if query in t]
    
    def validate_ticker(self, ticker: str) -> bool:
        """
        Validate if a ticker exists
        
        Args:
            ticker: Ticker symbol to validate
            
        Returns:
            True if ticker is valid
        """
        try:
            # Try to get minimal data to validate ticker
            response = self.get_financial_data(
                ticker, 
                period="1d",
                include_metrics=False
            )
            return 'error' not in response
        except:
            return False
    
    def get_latest_filing_date(self, ticker: str) -> Optional[str]:
        """
        Get the latest SEC filing date for a ticker
        
        Args:
            ticker: Stock ticker symbol
            
        Returns:
            Latest filing date as string or None
        """
        try:
            data = self.get_financial_data(ticker, period="1d")
            if data.get('financial_data'):
                return data['financial_data'][0].get('date')
        except:
            pass
        return None


# Convenience functions for quick access
def get_financial_data(ticker: str, period: str = "1y", base_url: str = "http://localhost:18001") -> Dict:
    """
    Quick function to get financial data
    
    Args:
        ticker: Stock ticker symbol
        period: Period string (e.g., "1d", "3m", "2y")
        base_url: API base URL
        
    Returns:
        Financial data
    """
    client = StockOracleClient(base_url)
    return client.get_financial_data(ticker, period=period)


def get_price_data(ticker: str, period: str = "1y", base_url: str = "http://localhost:18001") -> Dict:
    """
    Quick function to get price data
    
    Args:
        ticker: Stock ticker symbol  
        period: Period string (e.g., "1d", "3m", "2y")
        base_url: API base URL
        
    Returns:
        Price data
    """
    client = StockOracleClient(base_url)
    return client.get_price_data(ticker, period=period)


def get_etf_holdings(ticker: str, as_of_date: Optional[str] = None, base_url: str = "http://localhost:18001") -> Dict:
    """
    Quick function to get ETF holdings
    
    Args:
        ticker: ETF ticker symbol
        as_of_date: Optional date for historical data
        base_url: API base URL
        
    Returns:
        ETF holdings data
    """
    client = StockOracleClient(base_url)
    return client.get_etf_holdings(ticker, as_of_date=as_of_date)


def get_news_social_data(
    ticker: str, 
    days_back: int = 7, 
    max_articles: int = 20, 
    include_social: bool = True,
    base_url: str = "http://localhost:18001"
) -> Dict:
    """
    Quick function to get news and social media data
    
    Args:
        ticker: Stock ticker symbol
        days_back: Number of days to look back
        max_articles: Maximum number of news articles
        include_social: Include social media data
        base_url: API base URL
        
    Returns:
        News and social media data
    """
    client = StockOracleClient(base_url)
    return client.get_news_social_data(ticker, days_back, max_articles, include_social=include_social)


if __name__ == "__main__":
    # Example usage
    client = StockOracleClient("http://localhost:18001")
    
    try:
        # Test health
        health = client.get_health()
        print("API Health:", health["status"])
        
        print("\n" + "="*50)
        print("FINANCIAL DATA EXAMPLES")
        print("="*50)
        
        # Get financial data using period (POST endpoint)
        print("\n=== Financial Data (Period: 1y) ===")
        financial = client.get_financial_data("AAPL", period="1y")
        print(f"Company: {financial['company']['name']}")
        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:
                print(f"  P/E Ratio: {latest['metrics'].get('pe_ratio', 'N/A')}")
                print(f"  ROE: {latest['metrics'].get('return_on_equity', 'N/A')}")
        
        print("\n" + "="*50)
        print("PRICE DATA EXAMPLES")
        print("="*50)
        
        # Get price data using date range
        print("\n=== Price Data (Date Range) ===")
        from datetime import date
        price = client.get_price_data(
            "AAPL", 
            start_date=date(2024, 1, 1),
            end_date=date(2024, 12, 31),
            interval=PriceInterval.ONE_DAY
        )
        print(f"Ticker: {price['ticker']}")
        print(f"Price points: {len(price['price_data'])}")
        if price['price_data']:
            latest = price['price_data'][-1]
            print(f"Latest date: {latest['date']}")
            print(f"  Close: ${latest['close']:.2f}")
            print(f"  Volume: {latest['volume']:,}")
        
         print("\n" + "="*50)
         print("BULK DATA EXAMPLES")
         print("="*50)
         
         # Bulk financial data
        print("\n=== Bulk Financial Data ===")
        bulk_financial = client.get_bulk_financial_data(
            ["AAPL", "MSFT", "GOOGL"],
            period="3m",
            period_type=PeriodType.QUARTERLY
        )
        print(f"Requested: {len(bulk_financial['requested_tickers'])} tickers")
        print(f"Successful: {len(bulk_financial['results'])} tickers")
        if bulk_financial.get('errors'):
            print(f"Failed: {len(bulk_financial['errors'])} tickers")
        
        
        print("\n" + "="*50)
        print("NEWS & SOCIAL MEDIA EXAMPLES")
        print("="*50)
        
        # Get news and social media data
        print("\n=== News & Social Media Data ===")
        news_social = client.get_news_social_data("AAPL", days_back=7, max_articles=10, include_social=True)
        print(f"Ticker: {news_social['ticker']}")
        print(f"Retrieved at: {news_social['retrieved_at']}")
        print(f"Total news articles: {news_social['news']['total_articles']}")
        print(f"Total social posts: {news_social['social_media']['total_posts']}")
        print(f"Total items: {news_social['summary']['total_items']}")
        
        if news_social['news']['articles']:
            print("\nLatest news article:")
            article = news_social['news']['articles'][0]
            print(f"  Title: {article['title'][:80]}...")
            print(f"  Source: {article['source']}")
            print(f"  Published: {article.get('published_at', 'N/A')}")
            
        if news_social['social_media']['posts']:
            print("\nLatest social post:")
            post = news_social['social_media']['posts'][0]
            print(f"  Title: {post['title'][:80]}...")
            print(f"  Platform: {post['platform']}")
            print(f"  Score: {post.get('score', 'N/A')}")
        
        # Get news only (faster)
        print("\n=== News Only (Faster) ===")
        news_only = client.get_news_only("TSLA", days_back=3, max_articles=5)
        print(f"News articles for TSLA: {news_only['news']['total_articles']}")
        
        # Get social media only
        print("\n=== Social Media Only ===")
        social_only = client.get_social_only("NVDA", days_back=5, max_social_posts=10)
        print(f"Social posts for NVDA: {social_only['social_media']['total_posts']}")
        
        print("\n" + "="*50)
        print("ADDITIONAL FEATURES")
        print("="*50)
        
        # Get supported ETFs
        print("\n=== Supported ETFs ===")
        supported = client.get_supported_etfs()
        print(f"Total supported ETFs: {supported['total_etfs']}")
        print(f"Examples: {', '.join(supported['supported_tickers'][:10])}...")
        
        # Search tickers (client-side example)
        print("\n=== Ticker Search ===")
        results = client.search_tickers("AA")
        print(f"Search 'AA' results: {results}")
        
        # Validate ticker
        print("\n=== Ticker Validation ===")
        is_valid = client.validate_ticker("AAPL")
        print(f"AAPL is valid: {is_valid}")
        is_valid = client.validate_ticker("INVALID123")
        print(f"INVALID123 is valid: {is_valid}")
        
    except StockOracleAPIError as e:
        print(f"\nAPI Error: {e}")
        print(f"Status Code: {e.status_code}")
        print(f"Response: {e.response_data}")
    except ETFDataNotAvailableError as e:
        print(f"\nETF Data Not Available: {e}")
        if e.availability_info:
            print(f"Availability Info: {json.dumps(e.availability_info, indent=2)}")
    except Exception as e:
        print(f"\nError: {e}")
        import traceback
        traceback.print_exc()