Files
DinQuant/backend_api_python/app/services/live_trading/binance.py
T
XSX-Milan bc1c991645 feat: 添加 Binance 模拟交易支持
在 BinanceFuturesClient 和 BinanceSpotClient 中添加 enable_demo_trading 参数

根据 enable_demo_trading 自动设置正确的 demo base_url

Futures: https://demo-fapi.binance.com

Spot: https://demo-api.binance.com

在 factory.py 中从 exchange_config 读取 enable_demo_trading 配置并传递给客户端
2026-01-27 19:28:34 +08:00

746 lines
30 KiB
Python

"""
Binance USDT-M Futures (direct REST) client.
API docs (reference):
- Signed endpoints use HMAC SHA256 over query string.
"""
from __future__ import annotations
import hmac
import hashlib
import time
from decimal import Decimal, ROUND_DOWN
from typing import Any, Dict, Optional, Tuple
from urllib.parse import urlencode
from app.services.live_trading.base import BaseRestClient, LiveOrderResult, LiveTradingError
from app.services.live_trading.symbols import to_binance_futures_symbol
class BinanceFuturesClient(BaseRestClient):
def __init__(self, *, api_key: str, secret_key: str, base_url: str = None, enable_demo_trading: bool = False, timeout_sec: float = 15.0):
if not base_url:
base_url = "https://demo-fapi.binance.com" if enable_demo_trading else "https://fapi.binance.com"
super().__init__(base_url=base_url, timeout_sec=timeout_sec)
self.api_key = (api_key or "").strip()
self.secret_key = (secret_key or "").strip()
if not self.api_key or not self.secret_key:
raise LiveTradingError("Missing Binance api_key/secret_key")
# Best-effort cache for public symbol filters used to normalize quantities.
# Key: symbol -> (fetched_at_ts, filters_dict)
self._sym_filter_cache: Dict[str, Tuple[float, Dict[str, Any]]] = {}
self._sym_filter_cache_ttl_sec = 300.0
# Best-effort cache for account position mode (Hedge vs One-way).
# Binance endpoint: GET /fapi/v1/positionSide/dual -> {"dualSidePosition": true/false}
self._dual_side_cache: Optional[Tuple[float, bool]] = None
self._dual_side_cache_ttl_sec = 60.0
@staticmethod
def _to_dec(x: Any) -> Decimal:
try:
return Decimal(str(x))
except Exception:
return Decimal("0")
@staticmethod
def _dec_str(d: Decimal) -> str:
try:
return format(d, "f")
except Exception:
return str(d)
@staticmethod
def _floor_to_step(value: Decimal, step: Decimal) -> Decimal:
if step is None:
return value
if value <= 0:
return Decimal("0")
try:
st = Decimal(step)
except Exception:
st = Decimal("0")
if st <= 0:
return value
try:
n = (value / st).to_integral_value(rounding=ROUND_DOWN)
return n * st
except Exception:
return Decimal("0")
def _sign(self, query_string: str) -> str:
sig = hmac.new(self.secret_key.encode("utf-8"), query_string.encode("utf-8"), hashlib.sha256).hexdigest()
return sig
def _signed_headers(self) -> Dict[str, str]:
return {"X-MBX-APIKEY": self.api_key}
def _signed_request(self, method: str, path: str, *, params: Dict[str, Any]) -> Dict[str, Any]:
p = dict(params or {})
# Use server-accepted timestamp in ms.
p["timestamp"] = int(time.time() * 1000)
qs = urlencode(p, doseq=True)
p["signature"] = self._sign(qs)
code, data, text = self._request(method, path, params=p, headers=self._signed_headers())
if code >= 400:
raise LiveTradingError(f"Binance HTTP {code}: {text[:500]}")
if isinstance(data, dict) and data.get("code") and int(data.get("code")) < 0:
raise LiveTradingError(f"Binance error: {data}")
return data if isinstance(data, dict) else {"raw": data}
def _public_request(self, method: str, path: str, *, params: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
code, data, text = self._request(method, path, params=params, headers=None, json_body=None, data=None)
if code >= 400:
raise LiveTradingError(f"Binance HTTP {code}: {text[:500]}")
if isinstance(data, dict) and data.get("code") and int(data.get("code")) < 0:
raise LiveTradingError(f"Binance error: {data}")
return data if isinstance(data, dict) else {"raw": data}
def get_mark_price(self, *, symbol: str) -> float:
"""
Best-effort mark price for MIN_NOTIONAL validation.
Endpoint: GET /fapi/v1/premiumIndex?symbol=...
"""
sym = to_binance_futures_symbol(symbol)
if not sym:
return 0.0
try:
data = self._public_request("GET", "/fapi/v1/premiumIndex", params={"symbol": sym})
except Exception:
return 0.0
try:
return float(data.get("markPrice") or 0.0)
except Exception:
return 0.0
def get_symbol_filters(self, *, symbol: str) -> Dict[str, Any]:
"""
Get futures symbol filters from exchangeInfo (best-effort).
Endpoint: GET /fapi/v1/exchangeInfo?symbol=...
"""
sym = to_binance_futures_symbol(symbol)
if not sym:
return {}
now = time.time()
cached = self._sym_filter_cache.get(sym)
if cached:
ts, obj = cached
if obj and (now - float(ts or 0.0)) <= float(self._sym_filter_cache_ttl_sec or 300.0):
return obj
raw = self._public_request("GET", "/fapi/v1/exchangeInfo", params={"symbol": sym})
symbols = raw.get("symbols") if isinstance(raw, dict) else None
# Important: Binance may still return the full symbols list even when `symbol=...` is provided.
# Never assume `symbols[0]` matches the requested symbol.
first: Dict[str, Any] = {}
if isinstance(symbols, list) and symbols:
picked = None
try:
picked = next((s for s in symbols if isinstance(s, dict) and str(s.get("symbol") or "") == sym), None)
except Exception:
picked = None
first = picked if isinstance(picked, dict) else (symbols[0] if isinstance(symbols[0], dict) else {})
filters = first.get("filters") if isinstance(first, dict) else None
fdict: Dict[str, Any] = {}
if isinstance(filters, list):
for f in filters:
if isinstance(f, dict) and f.get("filterType"):
fdict[str(f.get("filterType"))] = f
# Also keep precision metadata when available (used to avoid -1111).
try:
qty_prec = first.get("quantityPrecision") if isinstance(first, dict) else None
price_prec = first.get("pricePrecision") if isinstance(first, dict) else None
meta = {
"symbol": str(first.get("symbol") or "") if isinstance(first, dict) else "",
"contractType": str(first.get("contractType") or "") if isinstance(first, dict) else "",
"quantityPrecision": int(qty_prec) if qty_prec is not None else None,
"pricePrecision": int(price_prec) if price_prec is not None else None,
}
fdict["_meta"] = meta
except Exception:
pass
if fdict:
self._sym_filter_cache[sym] = (now, fdict)
return fdict
@staticmethod
def _floor_to_precision(value: Decimal, precision: Optional[int]) -> Decimal:
try:
if precision is None:
return value
p = int(precision)
except Exception:
return value
if p < 0 or p > 18:
return value
try:
q = Decimal("1").scaleb(-p) # 1e-precision
return value.quantize(q, rounding=ROUND_DOWN)
except Exception:
return value
def _normalize_price(self, *, symbol: str, price: float) -> Decimal:
"""
Normalize futures limit price using PRICE_FILTER tickSize (best-effort).
Binance rejects prices/quantities whose precision exceeds allowed decimals (-1111),
so we must quantize to tickSize and send as string.
"""
px = self._to_dec(price)
if px <= 0:
return Decimal("0")
fdict: Dict[str, Any] = {}
try:
fdict = self.get_symbol_filters(symbol=symbol) or {}
except Exception:
fdict = {}
filt = fdict.get("PRICE_FILTER") or {}
tick = self._to_dec((filt or {}).get("tickSize") or "0")
min_px = self._to_dec((filt or {}).get("minPrice") or "0")
if tick > 0:
px = self._floor_to_step(px, tick)
# Enforce price precision cap (some symbols reject more decimals even if tick looks permissive).
try:
meta = fdict.get("_meta") or {}
px = self._floor_to_precision(px, (meta.get("pricePrecision") if isinstance(meta, dict) else None))
except Exception:
pass
if min_px > 0 and px < min_px:
return Decimal("0")
return px
def _normalize_quantity(self, *, symbol: str, quantity: float, for_market: bool) -> Decimal:
"""
Normalize futures order quantity using LOT_SIZE / MARKET_LOT_SIZE filters (best-effort).
"""
q = self._to_dec(quantity)
if q <= 0:
return Decimal("0")
fdict: Dict[str, Any] = {}
try:
fdict = self.get_symbol_filters(symbol=symbol) or {}
except Exception:
fdict = {}
key = "MARKET_LOT_SIZE" if for_market else "LOT_SIZE"
filt = fdict.get(key) or fdict.get("LOT_SIZE") or {}
step = self._to_dec((filt or {}).get("stepSize") or "0")
min_qty = self._to_dec((filt or {}).get("minQty") or "0")
if step > 0:
q = self._floor_to_step(q, step)
# Enforce quantity precision cap (Binance may reject quantities with too many decimals: -1111).
try:
meta = fdict.get("_meta") or {}
q = self._floor_to_precision(q, (meta.get("quantityPrecision") if isinstance(meta, dict) else None))
except Exception:
pass
if min_qty > 0 and q < min_qty:
return Decimal("0")
return q
def ping(self) -> bool:
code, data, _ = self._request("GET", "/fapi/v1/time")
return code == 200 and isinstance(data, dict)
def get_account(self) -> Dict[str, Any]:
"""
Private endpoint to validate credentials.
"""
return self._signed_request("GET", "/fapi/v2/account", params={})
def get_user_trades(self, *, symbol: str, order_id: str = "", limit: int = 100) -> Any:
"""
Fetch user trades (fills).
Endpoint: GET /fapi/v1/userTrades
Note: Binance order endpoints do NOT include commissions; commissions live on fills.
"""
sym = to_binance_futures_symbol(symbol)
if not sym:
return []
params: Dict[str, Any] = {"symbol": sym}
if order_id:
# Binance expects numeric orderId; keep as string and let server validate.
params["orderId"] = str(order_id)
try:
lim = int(limit or 100)
except Exception:
lim = 100
lim = max(1, min(1000, lim))
params["limit"] = lim
data = self._signed_request("GET", "/fapi/v1/userTrades", params=params)
return data
def get_fee_for_order(self, *, symbol: str, order_id: str) -> Tuple[float, str]:
"""
Best-effort: sum commissions from fills for a specific order.
Returns: (total_fee, fee_ccy)
"""
try:
trades = self.get_user_trades(symbol=symbol, order_id=str(order_id or ""), limit=200)
except Exception:
trades = []
if not isinstance(trades, list):
return 0.0, ""
total_fee = 0.0
fee_ccy = ""
for t in trades:
if not isinstance(t, dict):
continue
try:
fee = float(t.get("commission") or 0.0)
except Exception:
fee = 0.0
ccy = str(t.get("commissionAsset") or "").strip()
if fee != 0.0:
total_fee += abs(float(fee))
if (not fee_ccy) and ccy:
fee_ccy = ccy
return float(total_fee), str(fee_ccy or "")
def set_leverage(self, *, symbol: str, leverage: float) -> Dict[str, Any]:
"""
Set futures leverage for a symbol (USDT-M).
Endpoint: POST /fapi/v1/leverage
Notes:
- Binance applies leverage per symbol.
- If leverage is not set, the exchange may keep a default (often 1x),
which will change the actual margin used for a given notional.
"""
sym = to_binance_futures_symbol(symbol)
if not sym:
raise LiveTradingError(f"Invalid symbol: {symbol}")
try:
lev = int(float(leverage or 1.0))
except Exception:
lev = 1
if lev < 1:
lev = 1
if lev > 125:
lev = 125
return self._signed_request("POST", "/fapi/v1/leverage", params={"symbol": sym, "leverage": lev})
def get_dual_side_position(self) -> Optional[bool]:
"""
Best-effort read of position mode:
- True => Hedge Mode (dual-side position enabled): orders must specify positionSide=LONG/SHORT
- False => One-way Mode: orders should NOT specify LONG/SHORT
Endpoint: GET /fapi/v1/positionSide/dual
"""
now = time.time()
cached = self._dual_side_cache
if cached:
ts, val = cached
if (now - float(ts or 0.0)) <= float(self._dual_side_cache_ttl_sec or 60.0):
return bool(val)
try:
data = self._signed_request("GET", "/fapi/v1/positionSide/dual", params={})
v = data.get("dualSidePosition") if isinstance(data, dict) else None
if v is None:
return None
val = bool(v)
self._dual_side_cache = (now, val)
return val
except Exception:
return None
@staticmethod
def _is_err_code(err: Exception, code: int) -> bool:
try:
s = str(err or "")
except Exception:
s = ""
return f'\"code\":{int(code)}' in s or f"'code': {int(code)}" in s or f"'code':{int(code)}" in s
@staticmethod
def _normalize_position_side(pos_side: Optional[str]) -> str:
p = (pos_side or "").strip().lower()
if p in ("long", "l"):
return "LONG"
if p in ("short", "s"):
return "SHORT"
if p in ("both", "net"):
return "BOTH"
return ""
@staticmethod
def _infer_position_side(*, side: str, reduce_only: bool) -> str:
sd = (side or "").strip().upper()
ro = bool(reduce_only)
# Open:
# - BUY => LONG
# - SELL => SHORT
# Reduce/Close:
# - SELL reduceOnly => close LONG
# - BUY reduceOnly => close SHORT
if ro:
return "LONG" if sd == "SELL" else "SHORT"
return "LONG" if sd == "BUY" else "SHORT"
def get_order(
self,
*,
symbol: str,
order_id: str = "",
client_order_id: str = "",
) -> Dict[str, Any]:
"""
Query order status/details.
Endpoint: GET /fapi/v1/order
"""
sym = to_binance_futures_symbol(symbol)
params: Dict[str, Any] = {"symbol": sym}
if order_id:
params["orderId"] = str(order_id)
elif client_order_id:
params["origClientOrderId"] = str(client_order_id)
else:
raise LiveTradingError("Binance get_order requires order_id or client_order_id")
return self._signed_request("GET", "/fapi/v1/order", params=params)
def wait_for_fill(
self,
*,
symbol: str,
order_id: str = "",
client_order_id: str = "",
max_wait_sec: float = 3.0,
poll_interval_sec: float = 0.5,
) -> Dict[str, Any]:
"""
Poll order detail to obtain (best-effort) executed quantity and average price.
Returns:
{
"filled": float,
"avg_price": float,
"status": str,
"order": {...}
}
"""
end_ts = time.time() + float(max_wait_sec or 0.0)
last: Dict[str, Any] = {}
while True:
try:
last = self.get_order(symbol=symbol, order_id=str(order_id or ""), client_order_id=str(client_order_id or ""))
except Exception:
last = last or {}
status = str(last.get("status") or "")
try:
filled = float(last.get("executedQty") or 0.0)
except Exception:
filled = 0.0
# Futures order endpoint usually provides avgPrice; fall back to price/cumQuote.
avg_price = 0.0
try:
if last.get("avgPrice") is not None and str(last.get("avgPrice")).strip() != "":
avg_price = float(last.get("avgPrice") or 0.0)
except Exception:
avg_price = 0.0
if avg_price <= 0 and filled > 0:
try:
cum_quote = float(last.get("cumQuote") or 0.0)
if cum_quote > 0:
avg_price = cum_quote / filled
except Exception:
pass
if avg_price <= 0:
try:
avg_price = float(last.get("price") or 0.0)
except Exception:
avg_price = 0.0
if filled > 0 and avg_price > 0:
return {"filled": filled, "avg_price": avg_price, "status": status, "order": last}
if status in ("FILLED", "CANCELED", "EXPIRED", "REJECTED"):
return {"filled": filled, "avg_price": avg_price, "status": status, "order": last}
if time.time() >= end_ts:
return {"filled": filled, "avg_price": avg_price, "status": status, "order": last}
time.sleep(float(poll_interval_sec or 0.5))
def place_market_order(
self,
*,
symbol: str,
side: str,
quantity: float,
reduce_only: bool = False,
position_side: Optional[str] = None,
client_order_id: Optional[str] = None,
) -> LiveOrderResult:
sym = to_binance_futures_symbol(symbol)
sd = (side or "").upper()
if sd not in ("BUY", "SELL"):
raise LiveTradingError(f"Invalid side: {side}")
q_req = float(quantity or 0.0)
q_dec = self._normalize_quantity(symbol=symbol, quantity=q_req, for_market=True)
if float(q_dec or 0) <= 0:
raise LiveTradingError(f"Invalid quantity (below step/minQty): requested={q_req}")
# Best-effort MIN_NOTIONAL validation (common reason for "open still fails" with small qty).
# Use markPrice as an approximation for MARKET order notional.
min_notional = Decimal("0")
mark_price = 0.0
notional = Decimal("0")
try:
fdict = self.get_symbol_filters(symbol=symbol) or {}
mn = (fdict.get("MIN_NOTIONAL") or {}).get("notional")
min_notional = self._to_dec(mn or "0")
if min_notional > 0:
mark_price = float(self.get_mark_price(symbol=symbol) or 0.0)
if mark_price > 0:
notional = q_dec * self._to_dec(mark_price)
if notional < min_notional:
raise LiveTradingError(
"Order notional is below MIN_NOTIONAL. "
f"symbol={sym} side={sd} qty={self._dec_str(q_dec)} "
f"markPrice={mark_price} notional={self._dec_str(notional)} "
f"minNotional={self._dec_str(min_notional)}"
)
except LiveTradingError:
raise
except Exception:
# Never block order placement due to a best-effort validation failure.
pass
params: Dict[str, Any] = {
"symbol": sym,
"side": sd,
"type": "MARKET",
"quantity": self._dec_str(q_dec),
}
if reduce_only:
params["reduceOnly"] = "true"
if client_order_id:
params["newClientOrderId"] = str(client_order_id)
# Hedge mode requires explicit positionSide (LONG/SHORT). One-way mode should not use LONG/SHORT.
dual_side = self.get_dual_side_position()
pos_norm = self._normalize_position_side(position_side)
if dual_side is True:
params["positionSide"] = (pos_norm if pos_norm in ("LONG", "SHORT") else self._infer_position_side(side=sd, reduce_only=reduce_only))
elif dual_side is False:
# Keep default (BOTH) by omitting positionSide.
params.pop("positionSide", None)
else:
# Unknown mode: try without positionSide first; we may retry on -4061.
params.pop("positionSide", None)
try:
raw = self._signed_request("POST", "/fapi/v1/order", params=params)
except LiveTradingError as e:
# Retry once if position mode mismatch (-4061).
if self._is_err_code(e, -4061):
params2 = dict(params)
if params2.get("positionSide"):
# Likely one-way mode but we sent LONG/SHORT
params2.pop("positionSide", None)
try:
raw = self._signed_request("POST", "/fapi/v1/order", params=params2)
# Cache for future calls.
self._dual_side_cache = (time.time(), False)
return LiveOrderResult(
exchange_id="binance",
exchange_order_id=str(raw.get("orderId") or raw.get("clientOrderId") or ""),
filled=float(raw.get("executedQty") or 0.0),
avg_price=float(raw.get("avgPrice") or raw.get("price") or 0.0),
raw=raw,
)
except Exception:
pass
else:
# Likely hedge mode; retry with inferred positionSide.
params2["positionSide"] = (pos_norm if pos_norm in ("LONG", "SHORT") else self._infer_position_side(side=sd, reduce_only=reduce_only))
try:
raw = self._signed_request("POST", "/fapi/v1/order", params=params2)
self._dual_side_cache = (time.time(), True)
return LiveOrderResult(
exchange_id="binance",
exchange_order_id=str(raw.get("orderId") or raw.get("clientOrderId") or ""),
filled=float(raw.get("executedQty") or 0.0),
avg_price=float(raw.get("avgPrice") or raw.get("price") or 0.0),
raw=raw,
)
except Exception:
pass
# Attach normalized params for easier debugging of precision issues (-1111).
# Also attach best-effort public filters and minNotional diagnostics.
step = "n/a"
qty_prec = "n/a"
min_not = "n/a"
filt_symbol = "n/a"
contract_type = "n/a"
dual_mode = "n/a"
pos_side_used = "n/a"
try:
fdict = self.get_symbol_filters(symbol=symbol) or {}
lot = fdict.get("MARKET_LOT_SIZE") or fdict.get("LOT_SIZE") or {}
step = str(lot.get("stepSize") or "n/a")
meta = fdict.get("_meta") or {}
if isinstance(meta, dict) and meta.get("quantityPrecision") is not None:
qty_prec = str(meta.get("quantityPrecision"))
if isinstance(meta, dict) and meta.get("symbol"):
filt_symbol = str(meta.get("symbol"))
if isinstance(meta, dict) and meta.get("contractType"):
contract_type = str(meta.get("contractType"))
mn = fdict.get("MIN_NOTIONAL") or {}
min_not = str(mn.get("notional") or "n/a")
dm = self.get_dual_side_position()
dual_mode = "true" if dm is True else ("false" if dm is False else "unknown")
pos_side_used = str((params or {}).get("positionSide") or "n/a")
except Exception:
pass
raise LiveTradingError(
f"{e} | debug: symbol={sym} side={sd} "
f"qty_req={q_req} qty_norm={self._dec_str(q_dec)} "
f"base_url={self.base_url} filtersSymbol={filt_symbol} contractType={contract_type} "
f"stepSize={step} quantityPrecision={qty_prec} minNotional={min_not} "
f"dualSidePosition={dual_mode} positionSide={pos_side_used} "
f"markPrice={mark_price} notional={self._dec_str(notional)}"
)
# Best-effort parse fill info.
exchange_order_id = str(raw.get("orderId") or raw.get("clientOrderId") or "")
filled = float(raw.get("executedQty") or 0.0)
avg_price = float(raw.get("avgPrice") or raw.get("price") or 0.0)
return LiveOrderResult(
exchange_id="binance",
exchange_order_id=exchange_order_id,
filled=filled,
avg_price=avg_price,
raw=raw,
)
def place_limit_order(
self,
*,
symbol: str,
side: str,
quantity: float,
price: float,
reduce_only: bool = False,
position_side: Optional[str] = None,
client_order_id: Optional[str] = None,
) -> LiveOrderResult:
sym = to_binance_futures_symbol(symbol)
sd = (side or "").upper()
if sd not in ("BUY", "SELL"):
raise LiveTradingError(f"Invalid side: {side}")
q_req = float(quantity or 0.0)
px = float(price or 0.0)
if q_req <= 0 or px <= 0:
raise LiveTradingError("Invalid quantity/price")
q_dec = self._normalize_quantity(symbol=symbol, quantity=q_req, for_market=False)
if float(q_dec or 0) <= 0:
raise LiveTradingError(f"Invalid quantity (below step/minQty): requested={q_req}")
px_dec = self._normalize_price(symbol=symbol, price=px)
if float(px_dec or 0) <= 0:
raise LiveTradingError(f"Invalid price (bad tick/minPrice): requested={px}")
params: Dict[str, Any] = {
"symbol": sym,
"side": sd,
"type": "LIMIT",
"timeInForce": "GTC",
"quantity": self._dec_str(q_dec),
"price": self._dec_str(px_dec),
}
if reduce_only:
params["reduceOnly"] = "true"
if client_order_id:
params["newClientOrderId"] = str(client_order_id)
dual_side = self.get_dual_side_position()
pos_norm = self._normalize_position_side(position_side)
if dual_side is True:
params["positionSide"] = (pos_norm if pos_norm in ("LONG", "SHORT") else self._infer_position_side(side=sd, reduce_only=reduce_only))
elif dual_side is False:
params.pop("positionSide", None)
else:
params.pop("positionSide", None)
try:
raw = self._signed_request("POST", "/fapi/v1/order", params=params)
except LiveTradingError as e:
if self._is_err_code(e, -4061):
params2 = dict(params)
if params2.get("positionSide"):
params2.pop("positionSide", None)
try:
raw = self._signed_request("POST", "/fapi/v1/order", params=params2)
self._dual_side_cache = (time.time(), False)
return LiveOrderResult(
exchange_id="binance",
exchange_order_id=str(raw.get("orderId") or raw.get("clientOrderId") or ""),
filled=float(raw.get("executedQty") or 0.0),
avg_price=float(raw.get("avgPrice") or raw.get("price") or 0.0),
raw=raw,
)
except Exception:
pass
else:
params2["positionSide"] = (pos_norm if pos_norm in ("LONG", "SHORT") else self._infer_position_side(side=sd, reduce_only=reduce_only))
try:
raw = self._signed_request("POST", "/fapi/v1/order", params=params2)
self._dual_side_cache = (time.time(), True)
return LiveOrderResult(
exchange_id="binance",
exchange_order_id=str(raw.get("orderId") or raw.get("clientOrderId") or ""),
filled=float(raw.get("executedQty") or 0.0),
avg_price=float(raw.get("avgPrice") or raw.get("price") or 0.0),
raw=raw,
)
except Exception:
pass
raise LiveTradingError(
f"{e} | debug: symbol={sym} side={sd} "
f"qty_req={q_req} qty_norm={self._dec_str(q_dec)} "
f"price_req={px} price_norm={self._dec_str(px_dec)}"
)
exchange_order_id = str(raw.get("orderId") or raw.get("clientOrderId") or "")
filled = float(raw.get("executedQty") or 0.0)
avg_price = float(raw.get("avgPrice") or raw.get("price") or 0.0)
return LiveOrderResult(exchange_id="binance", exchange_order_id=exchange_order_id, filled=filled, avg_price=avg_price, raw=raw)
def cancel_order(self, *, symbol: str, order_id: str = "", client_order_id: str = "") -> Dict[str, Any]:
sym = to_binance_futures_symbol(symbol)
params: Dict[str, Any] = {"symbol": sym}
if order_id:
params["orderId"] = str(order_id)
elif client_order_id:
params["origClientOrderId"] = str(client_order_id)
else:
raise LiveTradingError("Binance cancel_order requires order_id or client_order_id")
return self._signed_request("DELETE", "/fapi/v1/order", params=params)
def get_positions(self) -> Any:
"""
Return all futures positions (position risk endpoint).
Endpoint: GET /fapi/v2/positionRisk
"""
return self._signed_request("GET", "/fapi/v2/positionRisk", params={})