collectors/sentiment_extended.py

"""
Extended Sentiment Collectors
Fetches sentiment data from LunarCrush, Santiment, and other sentiment APIs
"""

import asyncio
from datetime import datetime, timezone
from typing import Dict, List, Optional, Any
from utils.api_client import get_client
from utils.logger import setup_logger, log_api_request, log_error

logger = setup_logger("sentiment_extended_collector")


async def get_lunarcrush_global() -> Dict[str, Any]:
    """
    Fetch global market sentiment from LunarCrush

    Note: LunarCrush API v3 requires API key
    Free tier available with limited requests

    Returns:
        Dict with provider, category, data, timestamp, success, error
    """
    provider = "LunarCrush"
    category = "sentiment"
    endpoint = "/public/metrics/global"

    logger.info(f"Fetching global sentiment from {provider}")

    try:
        client = get_client()

        # LunarCrush public metrics (limited free access)
        url = "https://lunarcrush.com/api3/public/metrics/global"

        # Make request
        response = await client.get(url, timeout=10)

        # Log request
        log_api_request(
            logger,
            provider,
            endpoint,
            response.get("response_time_ms", 0),
            "success" if response["success"] else "error",
            response.get("status_code")
        )

        if not response["success"]:
            # LunarCrush may require API key, return placeholder
            logger.warning(f"{provider} - API requires authentication, returning placeholder")
            return {
                "provider": provider,
                "category": category,
                "data": {
                    "status": "placeholder",
                    "message": "LunarCrush API requires authentication",
                    "planned_features": [
                        "Social media sentiment tracking",
                        "Galaxy Score (social activity metric)",
                        "AltRank (relative social dominance)",
                        "Influencer tracking",
                        "Social volume and engagement metrics"
                    ]
                },
                "timestamp": datetime.now(timezone.utc).isoformat(),
                "success": True,
                "error": None,
                "is_placeholder": True
            }

        # Extract data
        data = response["data"]

        sentiment_data = None
        if isinstance(data, dict):
            sentiment_data = {
                "social_volume": data.get("social_volume"),
                "social_score": data.get("social_score"),
                "market_sentiment": data.get("sentiment"),
                "timestamp": data.get("timestamp")
            }

        logger.info(f"{provider} - {endpoint} - Retrieved sentiment data")

        return {
            "provider": provider,
            "category": category,
            "data": sentiment_data,
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": True,
            "error": None,
            "response_time_ms": response.get("response_time_ms", 0)
        }

    except Exception as e:
        error_msg = f"Unexpected error: {str(e)}"
        log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
        return {
            "provider": provider,
            "category": category,
            "data": {
                "status": "placeholder",
                "message": f"LunarCrush integration error: {str(e)}"
            },
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": True,
            "error": None,
            "is_placeholder": True
        }


async def get_santiment_metrics() -> Dict[str, Any]:
    """
    Fetch sentiment metrics from Santiment

    Note: Santiment API requires authentication
    Provides on-chain, social, and development activity metrics

    Returns:
        Dict with provider, category, data, timestamp, success, error
    """
    provider = "Santiment"
    category = "sentiment"
    endpoint = "/graphql"

    logger.info(f"Fetching sentiment metrics from {provider} (placeholder)")

    try:
        # Santiment uses GraphQL API and requires authentication
        # Placeholder implementation

        placeholder_data = {
            "status": "placeholder",
            "message": "Santiment API requires authentication and GraphQL queries",
            "planned_metrics": [
                "Social volume and trends",
                "Development activity",
                "Network growth",
                "Exchange flow",
                "MVRV ratio",
                "Daily active addresses",
                "Token age consumed",
                "Crowd sentiment"
            ],
            "note": "Requires Santiment API key and SAN tokens for full access"
        }

        logger.info(f"{provider} - {endpoint} - Placeholder data returned")

        return {
            "provider": provider,
            "category": category,
            "data": placeholder_data,
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": True,
            "error": None,
            "is_placeholder": True
        }

    except Exception as e:
        error_msg = f"Unexpected error: {str(e)}"
        log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
        return {
            "provider": provider,
            "category": category,
            "data": None,
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": False,
            "error": error_msg,
            "error_type": "exception"
        }


async def get_cryptoquant_sentiment() -> Dict[str, Any]:
    """
    Fetch on-chain sentiment from CryptoQuant

    Returns:
        Dict with provider, category, data, timestamp, success, error
    """
    provider = "CryptoQuant"
    category = "sentiment"
    endpoint = "/sentiment"

    logger.info(f"Fetching sentiment from {provider} (placeholder)")

    try:
        # CryptoQuant API requires authentication
        # Placeholder implementation

        placeholder_data = {
            "status": "placeholder",
            "message": "CryptoQuant API requires authentication",
            "planned_metrics": [
                "Exchange reserves",
                "Miner flows",
                "Whale transactions",
                "Stablecoin supply ratio",
                "Funding rates",
                "Open interest"
            ]
        }

        return {
            "provider": provider,
            "category": category,
            "data": placeholder_data,
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": True,
            "error": None,
            "is_placeholder": True
        }

    except Exception as e:
        return {
            "provider": provider,
            "category": category,
            "data": None,
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": False,
            "error": str(e),
            "error_type": "exception"
        }


async def get_augmento_signals() -> Dict[str, Any]:
    """
    Fetch market sentiment signals from Augmento.ai

    Returns:
        Dict with provider, category, data, timestamp, success, error
    """
    provider = "Augmento"
    category = "sentiment"
    endpoint = "/signals"

    logger.info(f"Fetching sentiment signals from {provider} (placeholder)")

    try:
        # Augmento provides AI-powered crypto sentiment signals
        # Requires API key

        placeholder_data = {
            "status": "placeholder",
            "message": "Augmento API requires authentication",
            "planned_features": [
                "AI-powered sentiment signals",
                "Topic extraction from social media",
                "Emerging trend detection",
                "Sentiment momentum indicators"
            ]
        }

        return {
            "provider": provider,
            "category": category,
            "data": placeholder_data,
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": True,
            "error": None,
            "is_placeholder": True
        }

    except Exception as e:
        return {
            "provider": provider,
            "category": category,
            "data": None,
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": False,
            "error": str(e),
            "error_type": "exception"
        }


async def get_thetie_sentiment() -> Dict[str, Any]:
    """
    Fetch sentiment data from TheTie.io

    Returns:
        Dict with provider, category, data, timestamp, success, error
    """
    provider = "TheTie"
    category = "sentiment"
    endpoint = "/sentiment"

    logger.info(f"Fetching sentiment from {provider} (placeholder)")

    try:
        # TheTie provides institutional-grade crypto market intelligence
        # Requires API key

        placeholder_data = {
            "status": "placeholder",
            "message": "TheTie API requires authentication",
            "planned_metrics": [
                "Twitter sentiment scores",
                "Social media momentum",
                "Influencer tracking",
                "Sentiment trends over time"
            ]
        }

        return {
            "provider": provider,
            "category": category,
            "data": placeholder_data,
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": True,
            "error": None,
            "is_placeholder": True
        }

    except Exception as e:
        return {
            "provider": provider,
            "category": category,
            "data": None,
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": False,
            "error": str(e),
            "error_type": "exception"
        }


async def get_coinmarketcal_events() -> Dict[str, Any]:
    """
    Fetch upcoming crypto events from CoinMarketCal (free API)

    Returns:
        Dict with provider, category, data, timestamp, success, error
    """
    provider = "CoinMarketCal"
    category = "sentiment"
    endpoint = "/events"

    logger.info(f"Fetching events from {provider}")

    try:
        client = get_client()

        # CoinMarketCal API
        url = "https://developers.coinmarketcal.com/v1/events"

        params = {
            "page": 1,
            "max": 20,
            "showOnly": "hot_events"  # Only hot/important events
        }

        # Make request (may require API key for full access)
        response = await client.get(url, params=params, timeout=10)

        # Log request
        log_api_request(
            logger,
            provider,
            endpoint,
            response.get("response_time_ms", 0),
            "success" if response["success"] else "error",
            response.get("status_code")
        )

        if not response["success"]:
            # If API requires key, return placeholder
            logger.warning(f"{provider} - API may require authentication, returning placeholder")
            return {
                "provider": provider,
                "category": category,
                "data": {
                    "status": "placeholder",
                    "message": "CoinMarketCal API may require authentication",
                    "planned_features": [
                        "Upcoming crypto events calendar",
                        "Project updates and announcements",
                        "Conferences and meetups",
                        "Hard forks and mainnet launches"
                    ]
                },
                "timestamp": datetime.now(timezone.utc).isoformat(),
                "success": True,
                "error": None,
                "is_placeholder": True
            }

        # Extract data
        data = response["data"]

        events_data = None
        if isinstance(data, dict) and "body" in data:
            events = data["body"]

            events_data = {
                "total_events": len(events) if isinstance(events, list) else 0,
                "upcoming_events": [
                    {
                        "title": event.get("title", {}).get("en"),
                        "coins": [coin.get("symbol") for coin in event.get("coins", [])],
                        "date": event.get("date_event"),
                        "proof": event.get("proof"),
                        "source": event.get("source")
                    }
                    for event in (events[:10] if isinstance(events, list) else [])
                ]
            }

        logger.info(f"{provider} - {endpoint} - Retrieved {events_data.get('total_events', 0)} events")

        return {
            "provider": provider,
            "category": category,
            "data": events_data,
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": True,
            "error": None,
            "response_time_ms": response.get("response_time_ms", 0)
        }

    except Exception as e:
        error_msg = f"Unexpected error: {str(e)}"
        log_error(logger, provider, "exception", error_msg, endpoint, exc_info=True)
        return {
            "provider": provider,
            "category": category,
            "data": {
                "status": "placeholder",
                "message": f"CoinMarketCal integration error: {str(e)}"
            },
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "success": True,
            "error": None,
            "is_placeholder": True
        }


async def collect_extended_sentiment_data() -> List[Dict[str, Any]]:
    """
    Main function to collect extended sentiment data from all sources

    Returns:
        List of results from all sentiment collectors
    """
    logger.info("Starting extended sentiment data collection from all sources")

    # Run all collectors concurrently
    results = await asyncio.gather(
        get_lunarcrush_global(),
        get_santiment_metrics(),
        get_cryptoquant_sentiment(),
        get_augmento_signals(),
        get_thetie_sentiment(),
        get_coinmarketcal_events(),
        return_exceptions=True
    )

    # Process results
    processed_results = []
    for result in results:
        if isinstance(result, Exception):
            logger.error(f"Collector failed with exception: {str(result)}")
            processed_results.append({
                "provider": "Unknown",
                "category": "sentiment",
                "data": None,
                "timestamp": datetime.now(timezone.utc).isoformat(),
                "success": False,
                "error": str(result),
                "error_type": "exception"
            })
        else:
            processed_results.append(result)

    # Log summary
    successful = sum(1 for r in processed_results if r.get("success", False))
    placeholder_count = sum(1 for r in processed_results if r.get("is_placeholder", False))

    logger.info(
        f"Extended sentiment collection complete: {successful}/{len(processed_results)} successful "
        f"({placeholder_count} placeholders)"
    )

    return processed_results


# Example usage
if __name__ == "__main__":
    async def main():
        results = await collect_extended_sentiment_data()

        print("\n=== Extended Sentiment Data Collection Results ===")
        for result in results:
            print(f"\nProvider: {result['provider']}")
            print(f"Success: {result['success']}")
            print(f"Is Placeholder: {result.get('is_placeholder', False)}")

            if result['success']:
                data = result.get('data', {})
                if isinstance(data, dict):
                    if data.get('status') == 'placeholder':
                        print(f"Status: {data.get('message', 'N/A')}")
                    else:
                        print(f"Data keys: {list(data.keys())}")
            else:
                print(f"Error: {result.get('error', 'Unknown')}")

    asyncio.run(main())