from hl_client import HyperliquidClient
from price_fetcher import get_prices

# Simple price fetch (auto-routes crypto vs stock perps)
prices = get_prices(["BTC", "ETH", "TSLA", "NVDA"])
print(prices)
# {'BTC': 95123.5, 'ETH': 3412.1, 'TSLA': 248.3, 'NVDA': 131.7}

# Full market data with the client
with HyperliquidClient() as client:
    data = client.get_market_data(["BTC", "ETH", "SOL"])
    for sym, info in data.items():
        print(f"{sym}: ${info['price']:,.2f}  funding: {info['funding_apr']:+.1f}%")

from hl_client import HyperliquidClient

with HyperliquidClient() as client:
    # Crypto perps
    client.get_market_data(["BTC", "ETH"])       # price, funding, OI, volume
    client.get_universe()                          # all available perps
    client.get_candles("BTC", "4h", 72)           # OHLCV candles
    client.get_funding_history("ETH", hours=48)   # funding rate history
    client.get_orderbook("BTC", depth=20)         # L2 order book
    client.get_whale_walls("BTC", min_size_usd=500_000)  # large resting orders

    # HIP-3 stock perps
    client.get_stock_market_data(["TSLA", "NVDA"])  # stock perp market data
    client.get_stock_universe()                      # all stock perps
    client.get_stock_orderbook("TSLA")               # stock perp order book
    client.get_stock_funding_history("TSLA", 48)     # stock perp funding

from price_fetcher import get_prices, get_price, get_all_crypto_mids, get_all_stock_mids

# Mixed fetch (auto-routes by asset type)
prices = get_prices(["BTC", "ETH", "TSLA", "GOLD"])

# Single price
btc = get_price("BTC")

# Bulk fetches
all_crypto = get_all_crypto_mids()   # every crypto perp
all_stocks = get_all_stock_mids()    # every HIP-3 stock perp

from market_data import MarketData

md = MarketData()

price, source = md.get_price_with_failover("BTC")  # auto-failover pricing
oi = md.get_btc_open_interest()                      # aggregate OI
funding = md.get_funding_rates()                     # cross-exchange funding
ratios = md.get_long_short_ratio()                   # Binance L/S ratios
snapshot = md.get_full_snapshot("BTC")               # everything at once

print(md.format_snapshot(snapshot))