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"""
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())
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