import pandas as pd
from binance.client import Client
import logging

logger = logging.getLogger(__name__)

class BinanceRestClient:
    def __init__(self, api_key: str, api_secret: str):
        self.client = Client(api_key, api_secret)

    def get_top_coins(self, limit: int = 50) -> list[str]:
        tickers = self.client.get_ticker()
        usdt_pairs = [
            t for t in tickers
            if t["symbol"].endswith("USDT") and not t["symbol"].startswith("USDT")
        ]
        usdt_pairs.sort(key=lambda x: float(x["quoteVolume"]), reverse=True)
        return [t["symbol"] for t in usdt_pairs[:limit]]

    def get_ohlcv(self, symbol: str, interval: str = "1h", limit: int = 100) -> pd.DataFrame:
        klines = self.client.get_klines(symbol=symbol, interval=interval, limit=limit)
        df = pd.DataFrame(klines, columns=[
            "timestamp", "open", "high", "low", "close", "volume",
            "close_time", "quote_volume", "trades", "taker_buy_base",
            "taker_buy_quote", "ignore",
        ])
        for col in ["open", "high", "low", "close", "volume", "quote_volume"]:
            df[col] = df[col].astype(float)
        df["timestamp"] = pd.to_datetime(df["timestamp"], unit="ms")
        return df[["timestamp", "open", "high", "low", "close", "volume", "quote_volume"]]

    def get_all_prices(self) -> dict[str, float]:
        tickers = self.client.get_all_tickers()
        return {t["symbol"]: float(t["price"]) for t in tickers}

    def get_24h_volume(self, symbol: str) -> dict:
        ticker = self.client.get_ticker(symbol=symbol)
        return {
            "volume": float(ticker["volume"]),
            "quote_volume": float(ticker["quoteVolume"]),
            "price_change_pct": float(ticker["priceChangePercent"]),
        }