Merge pull request #494 from pikers/kucoin_backend

kucoin backend
py311
jaredgoldman 2023-04-21 21:33:49 -04:00 committed by GitHub
commit 1ea0163b04
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4 changed files with 730 additions and 4 deletions

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@ -24,7 +24,7 @@ __brokers__ = [
'binance', 'binance',
'ib', 'ib',
'kraken', 'kraken',
'kucoin'
# broken but used to work # broken but used to work
# 'questrade', # 'questrade',
# 'robinhood', # 'robinhood',
@ -35,7 +35,6 @@ __brokers__ = [
# iex # iex
# deribit # deribit
# kucoin
# bitso # bitso
] ]

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@ -0,0 +1,727 @@
# Copyright (C) Jared Goldman (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Kucoin broker backend
'''
from typing import Any, Callable, Literal, AsyncGenerator
from contextlib import asynccontextmanager as acm
from datetime import datetime
import time
import base64
import hmac
import hashlib
import wsproto
from uuid import uuid4
import asks
import tractor
import trio
from trio_util import trio_async_generator
from trio_typing import TaskStatus
from fuzzywuzzy import process as fuzzy
import pendulum
import numpy as np
from piker._cacheables import open_cached_client
from piker.log import get_logger
from ._util import DataUnavailable
from piker.pp import config
from ..data.types import Struct
from ..data._web_bs import (
open_autorecon_ws,
NoBsWs,
)
log = get_logger(__name__)
_ohlc_dtype = [
('index', int),
('time', int),
('open', float),
('high', float),
('low', float),
('close', float),
('volume', float),
('bar_wap', float), # will be zeroed by sampler if not filled
]
class KucoinMktPair(Struct, frozen=True):
'''
Kucoin's pair format:
https://docs.kucoin.com/#get-symbols-list
'''
baseCurrency: str
baseIncrement: float
baseMaxSize: float
baseMinSize: float
enableTrading: bool
feeCurrency: str
isMarginEnabled: bool
market: str
minFunds: float
name: str
priceIncrement: float
priceLimitRate: float
quoteCurrency: str
quoteIncrement: float
quoteMaxSize: float
quoteMinSize: float
symbol: str
class AccountTrade(Struct, frozen=True):
'''
Historical trade format:
https://docs.kucoin.com/#get-account-ledgers
'''
id: str
currency: str
amount: float
fee: float
balance: float
accountType: str
bizType: str
direction: Literal['in', 'out']
createdAt: float
context: list[str]
class AccountResponse(Struct, frozen=True):
'''
https://docs.kucoin.com/#get-account-ledgers
'''
currentPage: int
pageSize: int
totalNum: int
totalPage: int
items: list[AccountTrade]
class KucoinTrade(Struct, frozen=True):
'''
Real-time trade format:
https://docs.kucoin.com/#symbol-ticker
'''
bestAsk: float
bestAskSize: float
bestBid: float
bestBidSize: float
price: float
sequence: float
size: float
time: float
class KucoinL2(Struct, frozen=True):
'''
Real-time L2 order book format:
https://docs.kucoin.com/#level2-5-best-ask-bid-orders
'''
asks: list[list[float]]
bids: list[list[float]]
timestamp: float
class KucoinMsg(Struct, frozen=True):
'''
Generic outer-wrapper for any Kucoin ws msg
'''
type: str
topic: str
subject: str
data: list[KucoinTrade | KucoinL2]
class BrokerConfig(Struct, frozen=True):
key_id: str
key_secret: str
key_passphrase: str
def get_config() -> BrokerConfig | None:
conf, _ = config.load()
section = conf.get('kucoin')
if section is None:
log.warning('No config section found for kucoin in config')
return None
return BrokerConfig(**section).copy()
class Client:
def __init__(self) -> None:
self._pairs: dict[str, KucoinMktPair] = {}
self._bars: list[list[float]] = []
self._config: BrokerConfig | None = get_config()
def _gen_auth_req_headers(
self,
action: Literal['POST', 'GET'],
endpoint: str,
api_v: str = 'v2',
) -> dict[str, str | bytes]:
'''
Generate authenticated request headers
https://docs.kucoin.com/#authentication
'''
if not self._config:
raise ValueError(
'No config found when trying to send authenticated request')
str_to_sign = (
str(int(time.time() * 1000))
+ action + f'/api/{api_v}{endpoint}'
)
signature = base64.b64encode(
hmac.new(
self._config.key_secret.encode('utf-8'),
str_to_sign.encode('utf-8'),
hashlib.sha256,
).digest()
)
passphrase = base64.b64encode(
hmac.new(
self._config.key_secret.encode('utf-8'),
self._config.key_passphrase.encode('utf-8'),
hashlib.sha256,
).digest()
)
return {
'KC-API-SIGN': signature,
'KC-API-TIMESTAMP': str(pendulum.now().int_timestamp * 1000),
'KC-API-KEY': self._config.key_id,
'KC-API-PASSPHRASE': passphrase,
# XXX: Even if using the v1 api - this stays the same
'KC-API-KEY-VERSION': '2',
}
async def _request(
self,
action: Literal['POST', 'GET'],
endpoint: str,
api_v: str = 'v2',
headers: dict = {},
) -> Any:
'''
Generic request wrapper for Kucoin API
'''
if self._config:
headers = self._gen_auth_req_headers(
action, endpoint, api_v)
api_url = f'https://api.kucoin.com/api/{api_v}{endpoint}'
res = await asks.request(action, api_url, headers=headers)
if 'data' in res.json():
return res.json()['data']
else:
log.error(
f'Error making request to {api_url} -> {res.json()["msg"]}'
)
return res.json()['msg']
async def _get_ws_token(
self,
private: bool = False,
) -> tuple[str, int] | None:
'''
Fetch ws token needed for sub access:
https://docs.kucoin.com/#apply-connect-token
returns a token and the interval we must ping
the server at to keep the connection alive
'''
token_type = 'private' if private else 'public'
try:
data: dict[str, Any] | None = await self._request(
'POST', f'/bullet-{token_type}', 'v1'
)
except Exception as e:
log.error(
f'Error making request for Kucoin ws token -> {str(e)}')
return None
if data and 'token' in data:
# ping_interval is in ms
ping_interval: int = data['instanceServers'][0]['pingInterval']
return data['token'], ping_interval
elif data:
log.error(
'Error making request for Kucoin ws token'
f'{data.json()["msg"]}'
)
async def _get_pairs(
self,
) -> dict[str, KucoinMktPair]:
entries = await self._request('GET', '/symbols')
syms = {
kucoin_sym_to_fqsn(item['name']): KucoinMktPair(**item)
for item in entries
}
log.info(f' {len(syms)} Kucoin market pairs fetched')
return syms
async def cache_pairs(
self,
) -> dict[str, KucoinMktPair]:
'''
Get cached pairs and convert keyed symbols into fqsns if ya want
'''
if not self._pairs:
self._pairs = await self._get_pairs()
return self._pairs
async def search_symbols(
self,
pattern: str,
limit: int = 30,
) -> dict[str, KucoinMktPair]:
data = await self.cache_pairs()
matches = fuzzy.extractBests(
pattern, data, score_cutoff=35, limit=limit
)
# repack in dict form
return {item[0].name: item[0] for item in matches}
async def last_trades(self, sym: str) -> list[AccountTrade]:
trades = await self._request(
'GET', f'/accounts/ledgers?currency={sym}', 'v1'
)
trades = AccountResponse(**trades)
return trades.items
async def _get_bars(
self,
fqsn: str,
start_dt: datetime | None = None,
end_dt: datetime | None = None,
limit: int = 1000,
as_np: bool = True,
type: str = '1min',
) -> np.ndarray:
'''
Get OHLC data and convert to numpy array for perffff:
https://docs.kucoin.com/#get-klines
Kucoin bar data format:
[
'1545904980', //Start time of the candle cycle 0
'0.058', //opening price 1
'0.049', //closing price 2
'0.058', //highest price 3
'0.049', //lowest price 4
'0.018', //Transaction volume 5
'0.000945' //Transaction amount 6
],
piker ohlc numpy array format:
[
('index', int),
('time', int),
('open', float),
('high', float),
('low', float),
('close', float),
('volume', float),
('bar_wap', float), # will be zeroed by sampler if not filled
]
'''
# Generate generic end and start time if values not passed
# Currently gives us 12hrs of data
if end_dt is None:
end_dt = pendulum.now('UTC').add(minutes=1)
if start_dt is None:
start_dt = end_dt.start_of(
'minute').subtract(minutes=limit)
start_dt = int(start_dt.timestamp())
end_dt = int(end_dt.timestamp())
kucoin_sym = fqsn_to_kucoin_sym(fqsn, self._pairs)
url = (
f'/market/candles?type={type}'
f'&symbol={kucoin_sym}'
f'&startAt={start_dt}'
f'&endAt={end_dt}'
)
for i in range(10):
data: list[list[str]] | dict = await self._request(
'GET',
url,
api_v='v1',
)
if not isinstance(data, list):
# Do a gradual backoff if Kucoin is rate limiting us
backoff_interval = i
log.warn(
f'History call failed, backing off for {backoff_interval}s'
)
await trio.sleep(backoff_interval)
else:
bars: list[list[str]] = data
break
new_bars = []
reversed_bars = bars[::-1]
# Convert from kucoin format to piker format
for i, bar in enumerate(reversed_bars):
new_bars.append(
(
# index
i,
# time
int(bar[0]),
# open
float(bar[1]),
# high
float(bar[3]),
# low
float(bar[4]),
# close
float(bar[2]),
# volume
float(bar[5]),
# bar_wap
0.0,
)
)
array = np.array(
new_bars, dtype=_ohlc_dtype) if as_np else bars
return array
def fqsn_to_kucoin_sym(fqsn: str, pairs: dict[str, KucoinMktPair]) -> str:
pair_data = pairs[fqsn]
return pair_data.baseCurrency + '-' + pair_data.quoteCurrency
def kucoin_sym_to_fqsn(sym: str) -> str:
return sym.lower().replace('-', '')
@acm
async def get_client() -> AsyncGenerator[Client, None]:
client = Client()
await client.cache_pairs()
yield client
@tractor.context
async def open_symbol_search(
ctx: tractor.Context,
) -> None:
async with open_cached_client('kucoin') as client:
# load all symbols locally for fast search
await client.cache_pairs()
await ctx.started()
async with ctx.open_stream() as stream:
async for pattern in stream:
await stream.send(await client.search_symbols(pattern))
log.info('Kucoin symbol search opened')
@acm
async def open_ping_task(
ws: wsproto.WSConnection,
ping_interval, connect_id
) -> AsyncGenerator[None, None]:
'''
Spawn a non-blocking task that pings the ws
server every ping_interval so Kucoin doesn't drop
our connection
'''
async with trio.open_nursery() as n:
# TODO: cache this task so it's only called once
async def ping_server():
while True:
await trio.sleep((ping_interval - 1000) / 1000)
await ws.send_msg({'id': connect_id, 'type': 'ping'})
log.info('Starting ping task for kucoin ws connection')
n.start_soon(ping_server)
yield
n.cancel_scope.cancel()
async def stream_quotes(
send_chan: trio.abc.SendChannel,
symbols: list[str],
feed_is_live: trio.Event,
loglevel: str = '',
# startup sync
task_status: TaskStatus[tuple[dict, dict]
] = trio.TASK_STATUS_IGNORED,
) -> None:
'''
Required piker api to stream real-time data.
Where the rubber hits the road baby
'''
async with open_cached_client('kucoin') as client:
token, ping_interval = await client._get_ws_token()
connect_id = str(uuid4())
pairs = await client.cache_pairs()
ws_url = (
f'wss://ws-api-spot.kucoin.com/?'
f'token={token}&[connectId={connect_id}]'
)
# open ping task
async with (
open_autorecon_ws(ws_url) as ws,
open_ping_task(ws, ping_interval, connect_id),
):
log.info('Starting up quote stream')
# loop through symbols and sub to feedz
for sym in symbols:
pair: KucoinMktPair = pairs[sym]
kucoin_sym = pair.symbol
init_msgs = {
# pass back token, and bool, signalling if we're the writer
# and that history has been written
sym: {
'symbol_info': {
'asset_type': 'crypto',
'price_tick_size': float(pair.baseIncrement),
'lot_tick_size': float(pair.baseMinSize),
},
'shm_write_opts': {'sum_tick_vml': False},
'fqsn': sym,
}
}
async with (
subscribe(ws, connect_id, kucoin_sym),
stream_messages(ws, sym) as msg_gen,
):
typ, quote = await anext(msg_gen)
while typ != 'trade':
# take care to not unblock here until we get a real
# trade quote
typ, quote = await anext(msg_gen)
task_status.started((init_msgs, quote))
feed_is_live.set()
async for typ, msg in msg_gen:
await send_chan.send({sym: msg})
@acm
async def subscribe(ws: wsproto.WSConnection, connect_id, sym) -> AsyncGenerator[None, None]:
# level 2 sub
await ws.send_msg(
{
'id': connect_id,
'type': 'subscribe',
'topic': f'/spotMarket/level2Depth5:{sym}',
'privateChannel': False,
'response': True,
}
)
# watch trades
await ws.send_msg(
{
'id': connect_id,
'type': 'subscribe',
'topic': f'/market/ticker:{sym}',
'privateChannel': False,
'response': True,
}
)
yield
# unsub
if ws.connected():
log.info(f'Unsubscribing to {sym} feed')
await ws.send_msg(
{
'id': connect_id,
'type': 'unsubscribe',
'topic': f'/market/ticker:{sym}',
'privateChannel': False,
'response': True,
}
)
@trio_async_generator
async def stream_messages(
ws: NoBsWs, sym: str
) -> AsyncGenerator[tuple[str, dict], None]:
timeouts = 0
last_trade_ts = 0
while True:
with trio.move_on_after(3) as cs:
msg = await ws.recv_msg()
if cs.cancelled_caught:
timeouts += 1
if timeouts > 2:
log.error(
'kucoin feed is sh**ing the bed... rebooting...')
await ws._connect()
continue
if msg.get('subject'):
msg = KucoinMsg(**msg)
match msg.subject:
case 'trade.ticker':
trade_data = KucoinTrade(**msg.data)
# XXX: Filter for duplicate messages as ws feed will
# send duplicate market state
# https://docs.kucoin.com/#level2-5-best-ask-bid-orders
if trade_data.time == last_trade_ts:
continue
last_trade_ts = trade_data.time
yield 'trade', {
'symbol': sym,
'last': trade_data.price,
'brokerd_ts': last_trade_ts,
'ticks': [
{
'type': 'trade',
'price': float(trade_data.price),
'size': float(trade_data.size),
'broker_ts': last_trade_ts,
}
],
}
case 'level2':
l2_data = KucoinL2(**msg.data)
first_ask = l2_data.asks[0]
first_bid = l2_data.bids[0]
yield 'l1', {
'symbol': sym,
'ticks': [
{
'type': 'bid',
'price': float(first_bid[0]),
'size': float(first_bid[1]),
},
{
'type': 'bsize',
'price': float(first_bid[0]),
'size': float(first_bid[1]),
},
{
'type': 'ask',
'price': float(first_ask[0]),
'size': float(first_ask[1]),
},
{
'type': 'asize',
'price': float(first_ask[0]),
'size': float(first_ask[1]),
},
],
}
case _:
log.warn(f'Unhandled message: {msg}')
@acm
async def open_history_client(
symbol: str,
) -> AsyncGenerator[Callable, None]:
async with open_cached_client('kucoin') as client:
log.info('Attempting to open kucoin history client')
async def get_ohlc_history(
timeframe: float,
end_dt: datetime | None = None,
start_dt: datetime | None = None,
) -> tuple[
np.ndarray, datetime
| None, datetime
| None
]: # start # end
if timeframe != 60:
raise DataUnavailable('Only 1m bars are supported')
array = await client._get_bars(
symbol,
start_dt=start_dt,
end_dt=end_dt,
)
times = array['time']
if end_dt is None:
inow = round(time.time())
print(
f'difference in time between load and processing'
f'{inow - times[-1]}'
)
start_dt = pendulum.from_timestamp(times[0])
end_dt = pendulum.from_timestamp(times[-1])
log.info('History succesfully fetched baby')
return array, start_dt, end_dt
yield get_ohlc_history, {}