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Cerbero-mcp/services/mcp-alpaca/src/mcp_alpaca/client.py
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lint: ruff clean services/ (autofix + manual + ignore E741)
- 24 autofix safe (SIM105 contextlib.suppress, F401 unused imports,
  I001 import order, B007 unused loop var, F811 redef, F841 unused).
- 15 unsafe-fix (UP038 X|Y in isinstance, SIM108 ternary, ecc.).
- Manual fix: SIM102 nested if in deribit term_structure, E402 imports
  in test_cot.py + sentiment server.py.
- Ignore E741 (variabili 'l' in list comprehensions deribit/client.py
  — stilistico, non bug).

Tests: 478/478 verdi.
2026-04-29 08:44:12 +02:00

386 lines
14 KiB
Python

from __future__ import annotations
import asyncio
import datetime as _dt
from typing import Any
from alpaca.data.historical import (
CryptoHistoricalDataClient,
OptionHistoricalDataClient,
StockHistoricalDataClient,
)
from alpaca.data.requests import (
CryptoBarsRequest,
CryptoLatestQuoteRequest,
CryptoLatestTradeRequest,
OptionBarsRequest,
OptionChainRequest,
OptionLatestQuoteRequest,
StockBarsRequest,
StockLatestQuoteRequest,
StockLatestTradeRequest,
StockSnapshotRequest,
)
from alpaca.data.timeframe import TimeFrame, TimeFrameUnit
from alpaca.trading.client import TradingClient
from alpaca.trading.enums import (
AssetClass,
OrderSide,
QueryOrderStatus,
TimeInForce,
)
from alpaca.trading.requests import (
ClosePositionRequest,
GetAssetsRequest,
GetOrdersRequest,
LimitOrderRequest,
MarketOrderRequest,
ReplaceOrderRequest,
StopOrderRequest,
)
_TF_MAP = {
"1min": TimeFrame(1, TimeFrameUnit.Minute),
"5min": TimeFrame(5, TimeFrameUnit.Minute),
"15min": TimeFrame(15, TimeFrameUnit.Minute),
"30min": TimeFrame(30, TimeFrameUnit.Minute),
"1h": TimeFrame(1, TimeFrameUnit.Hour),
"1d": TimeFrame(1, TimeFrameUnit.Day),
"1w": TimeFrame(1, TimeFrameUnit.Week),
}
_ASSET_CLASSES = {"stocks", "crypto", "options"}
def _tf(interval: str) -> TimeFrame:
if interval in _TF_MAP:
return _TF_MAP[interval]
raise ValueError(f"unsupported timeframe: {interval}")
def _asset_class_enum(ac: str) -> AssetClass:
ac = ac.lower()
if ac == "stocks":
return AssetClass.US_EQUITY
if ac == "crypto":
return AssetClass.CRYPTO
if ac == "options":
return AssetClass.US_OPTION
raise ValueError(f"invalid asset_class: {ac}")
def _serialize(obj: Any) -> Any:
"""Recursively convert pydantic/datetime objects → json-safe."""
if obj is None or isinstance(obj, str | int | float | bool):
return obj
if isinstance(obj, _dt.datetime | _dt.date):
return obj.isoformat()
if isinstance(obj, dict):
return {k: _serialize(v) for k, v in obj.items()}
if isinstance(obj, list | tuple):
return [_serialize(v) for v in obj]
if hasattr(obj, "model_dump"):
return _serialize(obj.model_dump())
if hasattr(obj, "__dict__"):
return _serialize(vars(obj))
return str(obj)
class AlpacaClient:
def __init__(
self,
api_key: str,
secret_key: str,
paper: bool = True,
trading: Any | None = None,
stock_data: Any | None = None,
crypto_data: Any | None = None,
option_data: Any | None = None,
) -> None:
self.api_key = api_key
self.secret_key = secret_key
self.paper = paper
self._trading = trading or TradingClient(
api_key=api_key, secret_key=secret_key, paper=paper
)
self._stock = stock_data or StockHistoricalDataClient(
api_key=api_key, secret_key=secret_key
)
self._crypto = crypto_data or CryptoHistoricalDataClient(
api_key=api_key, secret_key=secret_key
)
self._option = option_data or OptionHistoricalDataClient(
api_key=api_key, secret_key=secret_key
)
async def _run(self, fn, /, *args, **kwargs):
return await asyncio.to_thread(fn, *args, **kwargs)
# ── Account / positions ──────────────────────────────────────
async def get_account(self) -> dict:
acc = await self._run(self._trading.get_account)
return _serialize(acc)
async def get_positions(self) -> list[dict]:
pos = await self._run(self._trading.get_all_positions)
return [_serialize(p) for p in pos]
async def get_activities(self, limit: int = 50) -> list[dict]:
acts = await self._run(self._trading.get_account_activities)
data = [_serialize(a) for a in acts]
return data[:limit]
# ── Assets ──────────────────────────────────────────────────
async def get_assets(
self, asset_class: str = "stocks", status: str = "active"
) -> list[dict]:
req = GetAssetsRequest(
asset_class=_asset_class_enum(asset_class),
status=status,
)
assets = await self._run(self._trading.get_all_assets, req)
return [_serialize(a) for a in assets[:500]]
# ── Market data ─────────────────────────────────────────────
async def get_ticker(self, symbol: str, asset_class: str = "stocks") -> dict:
ac = asset_class.lower()
if ac == "stocks":
req = StockLatestTradeRequest(symbol_or_symbols=symbol)
data = await self._run(self._stock.get_stock_latest_trade, req)
trade = data.get(symbol)
q_req = StockLatestQuoteRequest(symbol_or_symbols=symbol)
qdata = await self._run(self._stock.get_stock_latest_quote, q_req)
quote = qdata.get(symbol)
return {
"symbol": symbol,
"asset_class": "stocks",
"last_price": getattr(trade, "price", None),
"bid": getattr(quote, "bid_price", None),
"ask": getattr(quote, "ask_price", None),
"bid_size": getattr(quote, "bid_size", None),
"ask_size": getattr(quote, "ask_size", None),
"timestamp": _serialize(getattr(trade, "timestamp", None)),
}
if ac == "crypto":
req = CryptoLatestTradeRequest(symbol_or_symbols=symbol)
data = await self._run(self._crypto.get_crypto_latest_trade, req)
trade = data.get(symbol)
q_req = CryptoLatestQuoteRequest(symbol_or_symbols=symbol)
qdata = await self._run(self._crypto.get_crypto_latest_quote, q_req)
quote = qdata.get(symbol)
return {
"symbol": symbol,
"asset_class": "crypto",
"last_price": getattr(trade, "price", None),
"bid": getattr(quote, "bid_price", None),
"ask": getattr(quote, "ask_price", None),
"timestamp": _serialize(getattr(trade, "timestamp", None)),
}
if ac == "options":
req = OptionLatestQuoteRequest(symbol_or_symbols=symbol)
data = await self._run(self._option.get_option_latest_quote, req)
quote = data.get(symbol)
return {
"symbol": symbol,
"asset_class": "options",
"bid": getattr(quote, "bid_price", None),
"ask": getattr(quote, "ask_price", None),
"timestamp": _serialize(getattr(quote, "timestamp", None)),
}
raise ValueError(f"invalid asset_class: {asset_class}")
async def get_bars(
self,
symbol: str,
asset_class: str = "stocks",
interval: str = "1d",
start: str | None = None,
end: str | None = None,
limit: int = 1000,
) -> dict:
tf = _tf(interval)
start_dt = _dt.datetime.fromisoformat(start) if start else (
_dt.datetime.now(_dt.UTC) - _dt.timedelta(days=30)
)
end_dt = _dt.datetime.fromisoformat(end) if end else _dt.datetime.now(_dt.UTC)
ac = asset_class.lower()
if ac == "stocks":
req = StockBarsRequest(
symbol_or_symbols=symbol, timeframe=tf,
start=start_dt, end=end_dt, limit=limit,
)
data = await self._run(self._stock.get_stock_bars, req)
elif ac == "crypto":
req = CryptoBarsRequest(
symbol_or_symbols=symbol, timeframe=tf,
start=start_dt, end=end_dt, limit=limit,
)
data = await self._run(self._crypto.get_crypto_bars, req)
elif ac == "options":
req = OptionBarsRequest(
symbol_or_symbols=symbol, timeframe=tf,
start=start_dt, end=end_dt, limit=limit,
)
data = await self._run(self._option.get_option_bars, req)
else:
raise ValueError(f"invalid asset_class: {asset_class}")
bars_dict = getattr(data, "data", {}) or {}
rows = bars_dict.get(symbol, []) or []
bars = [
{
"timestamp": _serialize(getattr(b, "timestamp", None)),
"open": getattr(b, "open", None),
"high": getattr(b, "high", None),
"low": getattr(b, "low", None),
"close": getattr(b, "close", None),
"volume": getattr(b, "volume", None),
}
for b in rows
]
return {"symbol": symbol, "asset_class": ac, "interval": interval, "bars": bars}
async def get_snapshot(self, symbol: str) -> dict:
req = StockSnapshotRequest(symbol_or_symbols=symbol)
data = await self._run(self._stock.get_stock_snapshot, req)
return _serialize(data.get(symbol))
async def get_option_chain(
self,
underlying: str,
expiry: str | None = None,
) -> dict:
kwargs: dict[str, Any] = {"underlying_symbol": underlying}
if expiry:
kwargs["expiration_date"] = _dt.date.fromisoformat(expiry)
req = OptionChainRequest(**kwargs)
data = await self._run(self._option.get_option_chain, req)
return {
"underlying": underlying,
"expiry": expiry,
"contracts": _serialize(data),
}
# ── Orders ──────────────────────────────────────────────────
async def get_open_orders(self, limit: int = 50) -> list[dict]:
req = GetOrdersRequest(status=QueryOrderStatus.OPEN, limit=limit)
orders = await self._run(self._trading.get_orders, filter=req)
return [_serialize(o) for o in orders]
async def place_order(
self,
symbol: str,
side: str,
qty: float | None = None,
notional: float | None = None,
order_type: str = "market",
limit_price: float | None = None,
stop_price: float | None = None,
tif: str = "day",
asset_class: str = "stocks",
) -> dict:
side_enum = OrderSide.BUY if side.lower() == "buy" else OrderSide.SELL
tif_enum = TimeInForce(tif.lower())
ot = order_type.lower()
common = {
"symbol": symbol,
"side": side_enum,
"time_in_force": tif_enum,
}
if qty is not None:
common["qty"] = qty
if notional is not None:
common["notional"] = notional
if ot == "market":
req = MarketOrderRequest(**common)
elif ot == "limit":
if limit_price is None:
raise ValueError("limit_price required for limit order")
req = LimitOrderRequest(**common, limit_price=limit_price)
elif ot == "stop":
if stop_price is None:
raise ValueError("stop_price required for stop order")
req = StopOrderRequest(**common, stop_price=stop_price)
else:
raise ValueError(f"unsupported order_type: {order_type}")
order = await self._run(self._trading.submit_order, req)
return _serialize(order)
async def amend_order(
self,
order_id: str,
qty: float | None = None,
limit_price: float | None = None,
stop_price: float | None = None,
tif: str | None = None,
) -> dict:
kwargs: dict[str, Any] = {}
if qty is not None:
kwargs["qty"] = qty
if limit_price is not None:
kwargs["limit_price"] = limit_price
if stop_price is not None:
kwargs["stop_price"] = stop_price
if tif is not None:
kwargs["time_in_force"] = TimeInForce(tif.lower())
req = ReplaceOrderRequest(**kwargs)
order = await self._run(self._trading.replace_order_by_id, order_id, req)
return _serialize(order)
async def cancel_order(self, order_id: str) -> dict:
await self._run(self._trading.cancel_order_by_id, order_id)
return {"order_id": order_id, "canceled": True}
async def cancel_all_orders(self) -> list[dict]:
resp = await self._run(self._trading.cancel_orders)
return [_serialize(r) for r in resp]
# ── Position close ──────────────────────────────────────────
async def close_position(
self, symbol: str, qty: float | None = None, percentage: float | None = None
) -> dict:
req = None
if qty is not None or percentage is not None:
kwargs: dict[str, Any] = {}
if qty is not None:
kwargs["qty"] = str(qty)
if percentage is not None:
kwargs["percentage"] = str(percentage)
req = ClosePositionRequest(**kwargs)
order = await self._run(
self._trading.close_position, symbol, close_options=req
)
return _serialize(order)
async def close_all_positions(self, cancel_orders: bool = True) -> list[dict]:
resp = await self._run(
self._trading.close_all_positions, cancel_orders=cancel_orders
)
return [_serialize(r) for r in resp]
# ── Clock / calendar ────────────────────────────────────────
async def get_clock(self) -> dict:
clock = await self._run(self._trading.get_clock)
return _serialize(clock)
async def get_calendar(
self, start: str | None = None, end: str | None = None
) -> list[dict]:
from alpaca.trading.requests import GetCalendarRequest
kwargs: dict[str, Any] = {}
if start:
kwargs["start"] = _dt.date.fromisoformat(start)
if end:
kwargs["end"] = _dt.date.fromisoformat(end)
req = GetCalendarRequest(**kwargs) if kwargs else None
cal = await self._run(
self._trading.get_calendar, filters=req
) if req else await self._run(self._trading.get_calendar)
return [_serialize(c) for c in cal]