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"""
Data Hub API Router
Serves collected data from the database
"""
from fastapi import APIRouter, HTTPException, Query
from typing import List, Dict, Any, Optional
from datetime import datetime, timedelta, timezone
from database.db_manager import DatabaseManager
from database.models import MarketPrice, OHLC, SentimentMetric
router = APIRouter(prefix="/api/hub", tags=["Data Hub"])
db_manager = DatabaseManager()
# ============================================================================
# MARKET PRICES
# ============================================================================
@router.get("/prices/latest")
async def get_latest_prices(
symbols: Optional[str] = Query(None, description="Comma-separated symbols (e.g., BTC,ETH)"),
source: Optional[str] = Query(None, description="Filter by source (CoinGecko, Binance)"),
limit: int = Query(100, ge=1, le=1000)
) -> Dict[str, Any]:
"""
Get latest market prices from database
Returns the most recent price for each symbol
"""
try:
with db_manager.get_session() as session:
# Get latest price for each symbol
from sqlalchemy import func
# Subquery to get max timestamp per symbol
subq = (
session.query(
MarketPrice.symbol,
func.max(MarketPrice.timestamp).label('max_ts')
)
.group_by(MarketPrice.symbol)
.subquery()
)
# Join to get full records
query = session.query(MarketPrice).join(
subq,
(MarketPrice.symbol == subq.c.symbol) &
(MarketPrice.timestamp == subq.c.max_ts)
)
# Apply filters
if symbols:
symbol_list = [s.strip().upper() for s in symbols.split(',')]
query = query.filter(MarketPrice.symbol.in_(symbol_list))
if source:
query = query.filter(MarketPrice.source == source)
prices = query.limit(limit).all()
return {
"success": True,
"count": len(prices),
"data": [
{
"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,
"source": p.source,
"timestamp": p.timestamp.isoformat()
}
for p in prices
]
}
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error fetching prices: {str(e)}")
@router.get("/prices/{symbol}")
async def get_symbol_price(
symbol: str,
hours: int = Query(24, ge=1, le=168, description="Hours of history")
) -> Dict[str, Any]:
"""
Get price history for a specific symbol
"""
try:
with db_manager.get_session() as session:
cutoff = datetime.now(timezone.utc) - timedelta(hours=hours)
prices = (
session.query(MarketPrice)
.filter(
MarketPrice.symbol == symbol.upper(),
MarketPrice.timestamp >= cutoff
)
.order_by(MarketPrice.timestamp.desc())
.all()
)
if not prices:
raise HTTPException(status_code=404, detail=f"No data found for {symbol}")
return {
"success": True,
"symbol": symbol.upper(),
"count": len(prices),
"data": [
{
"price_usd": p.price_usd,
"market_cap": p.market_cap,
"volume_24h": p.volume_24h,
"price_change_24h": p.price_change_24h,
"source": p.source,
"timestamp": p.timestamp.isoformat()
}
for p in prices
]
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error fetching price history: {str(e)}")
# ============================================================================
# OHLC CANDLESTICK DATA
# ============================================================================
@router.get("/ohlc/{symbol}")
async def get_ohlc_data(
symbol: str,
interval: str = Query("1h", description="Timeframe (1m, 5m, 15m, 1h, 4h, 1d)"),
limit: int = Query(100, ge=1, le=1000)
) -> Dict[str, Any]:
"""
Get OHLC candlestick data for charts
Returns data in format ready for TradingView/Lightweight Charts
"""
try:
with db_manager.get_session() as session:
candles = (
session.query(OHLC)
.filter(
OHLC.symbol == symbol.upper(),
OHLC.interval == interval
)
.order_by(OHLC.ts.desc())
.limit(limit)
.all()
)
if not candles:
raise HTTPException(
status_code=404,
detail=f"No OHLC data found for {symbol} with interval {interval}"
)
# Reverse to get chronological order
candles = list(reversed(candles))
return {
"success": True,
"symbol": symbol.upper(),
"interval": interval,
"count": len(candles),
"data": [
{
"time": int(c.ts.timestamp()), # Unix timestamp for charts
"open": c.open,
"high": c.high,
"low": c.low,
"close": c.close,
"volume": c.volume
}
for c in candles
]
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error fetching OHLC data: {str(e)}")
# ============================================================================
# SENTIMENT DATA
# ============================================================================
@router.get("/sentiment/fear-greed")
async def get_fear_greed_index(
hours: int = Query(24, ge=1, le=168)
) -> Dict[str, Any]:
"""
Get Fear & Greed Index data
"""
try:
with db_manager.get_session() as session:
cutoff = datetime.now(timezone.utc) - timedelta(hours=hours)
metrics = (
session.query(SentimentMetric)
.filter(
SentimentMetric.metric_name == "fear_greed_index",
SentimentMetric.timestamp >= cutoff
)
.order_by(SentimentMetric.timestamp.desc())
.all()
)
if not metrics:
raise HTTPException(status_code=404, detail="No Fear & Greed data found")
latest = metrics[0]
return {
"success": True,
"latest": {
"value": latest.value,
"classification": latest.classification,
"timestamp": latest.timestamp.isoformat()
},
"history": [
{
"value": m.value,
"classification": m.classification,
"timestamp": m.timestamp.isoformat()
}
for m in metrics
]
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error fetching sentiment data: {str(e)}")
# ============================================================================
# HEALTH & STATUS
# ============================================================================
@router.get("/status")
async def get_hub_status() -> Dict[str, Any]:
"""
Get data hub status and statistics
"""
try:
db_stats = db_manager.get_database_stats()
# Get latest timestamps
with db_manager.get_session() as session:
latest_price = (
session.query(MarketPrice)
.order_by(MarketPrice.timestamp.desc())
.first()
)
latest_ohlc = (
session.query(OHLC)
.order_by(OHLC.ts.desc())
.first()
)
latest_sentiment = (
session.query(SentimentMetric)
.order_by(SentimentMetric.timestamp.desc())
.first()
)
return {
"success": True,
"status": "operational",
"timestamp": datetime.now(timezone.utc).isoformat(),
"database": {
"size_mb": db_stats.get("database_size_mb", 0),
"providers": db_stats.get("providers", 0)
},
"data_counts": {
"market_prices": db_stats.get("market_prices", 0),
"ohlc_candles": db_stats.get("ohlc", 0),
"sentiment_metrics": db_stats.get("sentiment_metrics", 0)
},
"latest_updates": {
"prices": latest_price.timestamp.isoformat() if latest_price else None,
"ohlc": latest_ohlc.ts.isoformat() if latest_ohlc else None,
"sentiment": latest_sentiment.timestamp.isoformat() if latest_sentiment else None
}
}
except Exception as e:
return {
"success": False,
"status": "error",
"error": str(e),
"timestamp": datetime.now(timezone.utc).isoformat()
}
# ============================================================================
# STATISTICS
# ============================================================================
@router.get("/stats")
async def get_hub_stats() -> Dict[str, Any]:
"""
Get comprehensive hub statistics
"""
try:
with db_manager.get_session() as session:
from sqlalchemy import func, distinct
# Count unique symbols
unique_symbols = session.query(func.count(distinct(MarketPrice.symbol))).scalar()
# Count records per source
price_sources = (
session.query(MarketPrice.source, func.count(MarketPrice.id))
.group_by(MarketPrice.source)
.all()
)
# Get data freshness
latest_price = (
session.query(MarketPrice)
.order_by(MarketPrice.timestamp.desc())
.first()
)
if latest_price:
age_seconds = (datetime.now(timezone.utc) - latest_price.timestamp).total_seconds()
freshness = "fresh" if age_seconds < 120 else "stale"
else:
age_seconds = None
freshness = "no_data"
return {
"success": True,
"symbols_tracked": unique_symbols,
"data_sources": {
source: count for source, count in price_sources
},
"data_freshness": {
"status": freshness,
"age_seconds": age_seconds,
"last_update": latest_price.timestamp.isoformat() if latest_price else None
},
"database": db_manager.get_database_stats()
}
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error fetching stats: {str(e)}")
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