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"""
Data Access API Endpoints
Provides user-facing endpoints to access collected cryptocurrency data
"""
from datetime import datetime, timedelta
from typing import Optional, List
from fastapi import APIRouter, HTTPException, Query
from pydantic import BaseModel
from database.db_manager import db_manager
from utils.logger import setup_logger
logger = setup_logger("data_endpoints")
router = APIRouter(prefix="/api/crypto", tags=["data"])
# ============================================================================
# Pydantic Models
# ============================================================================
class PriceData(BaseModel):
"""Price data model"""
symbol: str
price_usd: float
market_cap: Optional[float] = None
volume_24h: Optional[float] = None
price_change_24h: Optional[float] = None
timestamp: datetime
source: str
class NewsArticle(BaseModel):
"""News article model"""
id: int
title: str
content: Optional[str] = None
source: str
url: Optional[str] = None
published_at: datetime
sentiment: Optional[str] = None
tags: Optional[List[str]] = None
class WhaleTransaction(BaseModel):
"""Whale transaction model"""
id: int
blockchain: str
transaction_hash: str
from_address: str
to_address: str
amount: float
amount_usd: float
timestamp: datetime
source: str
class SentimentMetric(BaseModel):
"""Sentiment metric model"""
metric_name: str
value: float
classification: str
timestamp: datetime
source: str
# ============================================================================
# Market Data Endpoints
# ============================================================================
@router.get("/prices", response_model=List[PriceData])
async def get_all_prices(
limit: int = Query(default=100, ge=1, le=1000, description="Number of records to return")
):
"""
Get latest prices for all cryptocurrencies
Returns the most recent price data for all tracked cryptocurrencies
"""
try:
prices = db_manager.get_latest_prices(limit=limit)
if not prices:
return []
return [
PriceData(
symbol=p.symbol,
price_usd=p.price_usd,
market_cap=p.market_cap,
volume_24h=p.volume_24h,
price_change_24h=p.price_change_24h,
timestamp=p.timestamp,
source=p.source
)
for p in prices
]
except Exception as e:
logger.error(f"Error getting prices: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get prices: {str(e)}")
@router.get("/prices/{symbol}", response_model=PriceData)
async def get_price_by_symbol(symbol: str):
"""
Get latest price for a specific cryptocurrency
Args:
symbol: Cryptocurrency symbol (e.g., BTC, ETH, BNB)
"""
try:
symbol = symbol.upper()
price = db_manager.get_latest_price_by_symbol(symbol)
if not price:
raise HTTPException(status_code=404, detail=f"Price data not found for {symbol}")
return PriceData(
symbol=price.symbol,
price_usd=price.price_usd,
market_cap=price.market_cap,
volume_24h=price.volume_24h,
price_change_24h=price.price_change_24h,
timestamp=price.timestamp,
source=price.source
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error getting price for {symbol}: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get price: {str(e)}")
@router.get("/history/{symbol}")
async def get_price_history(
symbol: str,
hours: int = Query(default=24, ge=1, le=720, description="Number of hours of history"),
interval: int = Query(default=60, ge=1, le=1440, description="Interval in minutes")
):
"""
Get price history for a cryptocurrency
Args:
symbol: Cryptocurrency symbol
hours: Number of hours of history to return
interval: Data point interval in minutes
"""
try:
symbol = symbol.upper()
history = db_manager.get_price_history(symbol, hours=hours)
if not history:
raise HTTPException(status_code=404, detail=f"No history found for {symbol}")
# Sample data based on interval
sampled = []
last_time = None
for record in history:
if last_time is None or (record.timestamp - last_time).total_seconds() >= interval * 60:
sampled.append({
"timestamp": record.timestamp.isoformat(),
"price_usd": record.price_usd,
"volume_24h": record.volume_24h,
"market_cap": record.market_cap
})
last_time = record.timestamp
return {
"symbol": symbol,
"data_points": len(sampled),
"interval_minutes": interval,
"history": sampled
}
except HTTPException:
raise
except Exception as e:
logger.error(f"Error getting history for {symbol}: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get history: {str(e)}")
@router.get("/market-overview")
async def get_market_overview():
"""
Get market overview with top cryptocurrencies
"""
try:
prices = db_manager.get_latest_prices(limit=20)
if not prices:
return {
"total_market_cap": 0,
"total_volume_24h": 0,
"top_gainers": [],
"top_losers": [],
"top_by_market_cap": []
}
# Calculate totals
total_market_cap = sum(p.market_cap for p in prices if p.market_cap)
total_volume_24h = sum(p.volume_24h for p in prices if p.volume_24h)
# Sort by price change
sorted_by_change = sorted(
[p for p in prices if p.price_change_24h is not None],
key=lambda x: x.price_change_24h,
reverse=True
)
# Sort by market cap
sorted_by_mcap = sorted(
[p for p in prices if p.market_cap is not None],
key=lambda x: x.market_cap,
reverse=True
)
return {
"total_market_cap": total_market_cap,
"total_volume_24h": total_volume_24h,
"top_gainers": [
{
"symbol": p.symbol,
"price_usd": p.price_usd,
"price_change_24h": p.price_change_24h
}
for p in sorted_by_change[:5]
],
"top_losers": [
{
"symbol": p.symbol,
"price_usd": p.price_usd,
"price_change_24h": p.price_change_24h
}
for p in sorted_by_change[-5:]
],
"top_by_market_cap": [
{
"symbol": p.symbol,
"price_usd": p.price_usd,
"market_cap": p.market_cap,
"volume_24h": p.volume_24h
}
for p in sorted_by_mcap[:10]
],
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error getting market overview: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get market overview: {str(e)}")
# ============================================================================
# News Endpoints
# ============================================================================
@router.get("/news", response_model=List[NewsArticle])
async def get_latest_news(
limit: int = Query(default=50, ge=1, le=200, description="Number of articles"),
source: Optional[str] = Query(default=None, description="Filter by source"),
sentiment: Optional[str] = Query(default=None, description="Filter by sentiment")
):
"""
Get latest cryptocurrency news
Args:
limit: Maximum number of articles to return
source: Filter by news source
sentiment: Filter by sentiment (positive, negative, neutral)
"""
try:
news = db_manager.get_latest_news(
limit=limit,
source=source,
sentiment=sentiment
)
if not news:
return []
return [
NewsArticle(
id=article.id,
title=article.title,
content=article.content,
source=article.source,
url=article.url,
published_at=article.published_at,
sentiment=article.sentiment,
tags=article.tags.split(',') if article.tags else None
)
for article in news
]
except Exception as e:
logger.error(f"Error getting news: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get news: {str(e)}")
@router.get("/news/{news_id}", response_model=NewsArticle)
async def get_news_by_id(news_id: int):
"""
Get a specific news article by ID
"""
try:
article = db_manager.get_news_by_id(news_id)
if not article:
raise HTTPException(status_code=404, detail=f"News article {news_id} not found")
return NewsArticle(
id=article.id,
title=article.title,
content=article.content,
source=article.source,
url=article.url,
published_at=article.published_at,
sentiment=article.sentiment,
tags=article.tags.split(',') if article.tags else None
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error getting news {news_id}: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get news: {str(e)}")
@router.get("/news/search")
async def search_news(
q: str = Query(..., min_length=2, description="Search query"),
limit: int = Query(default=50, ge=1, le=200)
):
"""
Search news articles by keyword
Args:
q: Search query
limit: Maximum number of results
"""
try:
results = db_manager.search_news(query=q, limit=limit)
return {
"query": q,
"count": len(results),
"results": [
{
"id": article.id,
"title": article.title,
"source": article.source,
"url": article.url,
"published_at": article.published_at.isoformat(),
"sentiment": article.sentiment
}
for article in results
]
}
except Exception as e:
logger.error(f"Error searching news: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to search news: {str(e)}")
# ============================================================================
# Sentiment Endpoints
# ============================================================================
@router.get("/sentiment/current")
async def get_current_sentiment():
"""
Get current market sentiment metrics
"""
try:
sentiment = db_manager.get_latest_sentiment()
if not sentiment:
return {
"fear_greed_index": None,
"classification": "unknown",
"timestamp": None,
"message": "No sentiment data available"
}
return {
"fear_greed_index": sentiment.value,
"classification": sentiment.classification,
"timestamp": sentiment.timestamp.isoformat(),
"source": sentiment.source,
"description": _get_sentiment_description(sentiment.classification)
}
except Exception as e:
logger.error(f"Error getting sentiment: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get sentiment: {str(e)}")
@router.get("/sentiment/history")
async def get_sentiment_history(
hours: int = Query(default=168, ge=1, le=720, description="Hours of history (default: 7 days)")
):
"""
Get sentiment history
"""
try:
history = db_manager.get_sentiment_history(hours=hours)
return {
"data_points": len(history),
"history": [
{
"timestamp": record.timestamp.isoformat(),
"value": record.value,
"classification": record.classification
}
for record in history
]
}
except Exception as e:
logger.error(f"Error getting sentiment history: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get sentiment history: {str(e)}")
# ============================================================================
# Whale Tracking Endpoints
# ============================================================================
@router.get("/whales/transactions", response_model=List[WhaleTransaction])
async def get_whale_transactions(
limit: int = Query(default=50, ge=1, le=200),
blockchain: Optional[str] = Query(default=None, description="Filter by blockchain"),
min_amount_usd: Optional[float] = Query(default=None, ge=0, description="Minimum transaction amount in USD")
):
"""
Get recent large cryptocurrency transactions (whale movements)
Args:
limit: Maximum number of transactions
blockchain: Filter by blockchain (ethereum, bitcoin, etc.)
min_amount_usd: Minimum transaction amount in USD
"""
try:
transactions = db_manager.get_whale_transactions(
limit=limit,
blockchain=blockchain,
min_amount_usd=min_amount_usd
)
if not transactions:
return []
return [
WhaleTransaction(
id=tx.id,
blockchain=tx.blockchain,
transaction_hash=tx.transaction_hash,
from_address=tx.from_address,
to_address=tx.to_address,
amount=tx.amount,
amount_usd=tx.amount_usd,
timestamp=tx.timestamp,
source=tx.source
)
for tx in transactions
]
except Exception as e:
logger.error(f"Error getting whale transactions: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get whale transactions: {str(e)}")
@router.get("/whales/stats")
async def get_whale_stats(
hours: int = Query(default=24, ge=1, le=168, description="Time period in hours")
):
"""
Get whale activity statistics
"""
try:
stats = db_manager.get_whale_stats(hours=hours)
return {
"period_hours": hours,
"total_transactions": stats.get('total_transactions', 0),
"total_volume_usd": stats.get('total_volume_usd', 0),
"avg_transaction_usd": stats.get('avg_transaction_usd', 0),
"largest_transaction_usd": stats.get('largest_transaction_usd', 0),
"by_blockchain": stats.get('by_blockchain', {}),
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error getting whale stats: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get whale stats: {str(e)}")
# ============================================================================
# Blockchain Data Endpoints
# ============================================================================
@router.get("/blockchain/gas")
async def get_gas_prices():
"""
Get current gas prices for various blockchains
"""
try:
gas_prices = db_manager.get_latest_gas_prices()
return {
"ethereum": gas_prices.get('ethereum', {}),
"bsc": gas_prices.get('bsc', {}),
"polygon": gas_prices.get('polygon', {}),
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error getting gas prices: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get gas prices: {str(e)}")
@router.get("/blockchain/stats")
async def get_blockchain_stats():
"""
Get blockchain statistics
"""
try:
stats = db_manager.get_blockchain_stats()
return {
"ethereum": stats.get('ethereum', {}),
"bitcoin": stats.get('bitcoin', {}),
"bsc": stats.get('bsc', {}),
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error getting blockchain stats: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get blockchain stats: {str(e)}")
# ============================================================================
# Helper Functions
# ============================================================================
def _get_sentiment_description(classification: str) -> str:
"""Get human-readable description for sentiment classification"""
descriptions = {
"extreme_fear": "Extreme Fear - Investors are very worried",
"fear": "Fear - Investors are concerned",
"neutral": "Neutral - Market is balanced",
"greed": "Greed - Investors are getting greedy",
"extreme_greed": "Extreme Greed - Market may be overheated"
}
return descriptions.get(classification, "Unknown sentiment")
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