"""
01_basic_usage.py
=================

Basic usage of the mt5bridge-ccxt wrapper. Run this after starting
your MT5Bridge HTTP service.

Usage:
    python 01_basic_usage.py
"""

import mt5bridge_ccxt

# ─── 1. Create the exchange instance ──────────────────────────────────
exchange = mt5bridge_ccxt.mt5bridge({
    "apiKey": "your-mt5bridge-api-key",
    "host": "http://localhost:8080",
    # Map CCXT symbols to MT5 symbols (broker-specific suffix)
    "symbols": {
        "XAU/USD": "XAUUSDc",
        "EUR/USD": "EURUSDc",
        "GBP/USD": "GBPUSDc",
    },
})

# ─── 2. Check status ─────────────────────────────────────────────────
status = exchange.fetch_status()
print("Bridge status:", status["status"])
if status["status"] != "ok":
    print("Bridge not ready, aborting.")
    raise SystemExit(1)

# ─── 3. Fetch markets ────────────────────────────────────────────────
markets = exchange.fetch_markets()
print(f"\nAvailable markets ({len(markets)}):")
for m in markets:
    print(f"  {m['symbol']:10s}  id={m['id']:12s}  digits={m['precision']['price']}  "
          f"min_lot={m['limits']['amount']['min']}")

# ─── 4. Fetch ticker ─────────────────────────────────────────────────
ticker = exchange.fetch_ticker("XAU/USD")
print(f"\nXAU/USD ticker:")
print(f"  bid: {ticker['bid']}")
print(f"  ask: {ticker['ask']}")
print(f"  spread: {ticker['ask'] - ticker['bid']:.2f}")

# ─── 5. Fetch OHLCV ──────────────────────────────────────────────────
bars = exchange.fetch_ohlcv("XAU/USD", "1h", limit=5)
print(f"\nXAU/USD H1 last 5 bars:")
for ts, o, h, l, c, v in bars:
    print(f"  ts={ts}  O={o}  H={h}  L={l}  C={c}  V={v}")

# ─── 6. Fetch OHLCV by date range ────────────────────────────────────
bars_july = exchange.fetch_ohlcv(
    "XAU/USD", "1h",
    params={"date_from": "2026-07-01", "date_to": "2026-07-03"},
)
print(f"\nXAU/USD H1 from 2026-07-01 to 2026-07-03: {len(bars_july)} bars")

# ─── 7. Fetch balance ────────────────────────────────────────────────
balance = exchange.fetch_balance()
print(f"\nAccount balance:")
for currency, total in balance["total"].items():
    free = balance["free"][currency]
    used = balance["used"][currency]
    print(f"  {currency}: total={total}  free={free}  used={used}")

# ─── 8. Fetch positions ──────────────────────────────────────────────
positions = exchange.fetch_positions()
print(f"\nOpen positions: {len(positions)}")
for p in positions:
    print(f"  #{p['id']:>10s}  {p['symbol']:10s}  {p['side']:5s}  "
          f"vol={p['contracts']:.2f}  entry={p['entryPrice']}  "
          f"pnl={p['unrealizedPnl']:.2f}  sl={p['stopLossPrice']}  tp={p['takeProfitPrice']}")

# ─── 9. Place a market order ─────────────────────────────────────────
# Uncomment to actually place an order:
# order = exchange.create_order("XAU/USD", "market", "buy", 0.01, params={
#     "sl": ticker["ask"] - 5.0,
#     "tp": ticker["ask"] + 10.0,
#     "magic": 123456,
#     "comment": "basic_usage example",
# })
# print(f"\nOrder placed: #{order['id']}  status={order['status']}")

# ─── 10. Read MQL5 indicator signal (if Alpha Trend is loaded) ───────
try:
    signal = exchange.mql5.alpha_trend_signal("XAUUSDc", "H1")
    print(f"\nAlpha Trend (XAUUSD H1):")
    print(f"  trend: {signal['trend']}  (1=long, -1=short)")
    print(f"  buy signal: {signal['buy']}")
    print(f"  sell signal: {signal['sell']}")
except Exception as e:
    print(f"\nMQL5 signal unavailable: {e}")