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39 changed files with 1943 additions and 3714 deletions

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@ -22,10 +22,10 @@ from typing import Optional, Union, Callable, Any
from contextlib import asynccontextmanager as acm
from collections import defaultdict
from msgspec import Struct
import tractor
from pydantic import BaseModel
import trio
from trio_typing import TaskStatus
import tractor
from .log import get_logger, get_console_log
from .brokers import get_brokermod
@ -47,13 +47,16 @@ _root_modules = [
]
class Services(Struct):
class Services(BaseModel):
actor_n: tractor._supervise.ActorNursery
service_n: trio.Nursery
debug_mode: bool # tractor sub-actor debug mode flag
service_tasks: dict[str, tuple[trio.CancelScope, tractor.Portal]] = {}
class Config:
arbitrary_types_allowed = True
async def start_service_task(
self,
name: str,

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@ -34,13 +34,13 @@ from fuzzywuzzy import process as fuzzy
import numpy as np
import tractor
from pydantic.dataclasses import dataclass
from pydantic import BaseModel
import wsproto
from .._cacheables import open_cached_client
from ._util import resproc, SymbolNotFound
from ..log import get_logger, get_console_log
from ..data import ShmArray
from ..data.types import Struct
from ..data._web_bs import open_autorecon_ws, NoBsWs
log = get_logger(__name__)
@ -79,14 +79,12 @@ _show_wap_in_history = False
# https://binance-docs.github.io/apidocs/spot/en/#exchange-information
class Pair(Struct, frozen=True):
class Pair(BaseModel):
symbol: str
status: str
baseAsset: str
baseAssetPrecision: int
cancelReplaceAllowed: bool
allowTrailingStop: bool
quoteAsset: str
quotePrecision: int
quoteAssetPrecision: int
@ -289,7 +287,7 @@ async def get_client() -> Client:
# validation type
class AggTrade(Struct):
class AggTrade(BaseModel):
e: str # Event type
E: int # Event time
s: str # Symbol
@ -343,9 +341,7 @@ async def stream_messages(ws: NoBsWs) -> AsyncGenerator[NoBsWs, dict]:
elif msg.get('e') == 'aggTrade':
# NOTE: this is purely for a definition, ``msgspec.Struct``
# does not runtime-validate until you decode/encode.
# see: https://jcristharif.com/msgspec/structs.html#type-validation
# validate
msg = AggTrade(**msg)
# TODO: type out and require this quote format
@ -356,8 +352,8 @@ async def stream_messages(ws: NoBsWs) -> AsyncGenerator[NoBsWs, dict]:
'brokerd_ts': time.time(),
'ticks': [{
'type': 'trade',
'price': float(msg.p),
'size': float(msg.q),
'price': msg.p,
'size': msg.q,
'broker_ts': msg.T,
}],
}
@ -452,7 +448,7 @@ async def stream_quotes(
d = cache[sym.upper()]
syminfo = Pair(**d) # validation
si = sym_infos[sym] = syminfo.to_dict()
si = sym_infos[sym] = syminfo.dict()
# XXX: after manually inspecting the response format we
# just directly pick out the info we need

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@ -20,10 +20,15 @@ Interactive Brokers API backend.
Sub-modules within break into the core functionalities:
- ``broker.py`` part for orders / trading endpoints
- ``feed.py`` for real-time data feed endpoints
- ``api.py`` for the core API machinery which is ``trio``-ized
- ``data.py`` for real-time data feed endpoints
- ``client.py`` for the core API machinery which is ``trio``-ized
wrapping around ``ib_insync``.
- ``report.py`` for the hackery to build manual pp calcs
to avoid ib's absolute bullshit FIFO style position
tracking..
"""
from .api import (
get_client,
@ -33,10 +38,7 @@ from .feed import (
open_symbol_search,
stream_quotes,
)
from .broker import (
trades_dialogue,
norm_trade_records,
)
from .broker import trades_dialogue
__all__ = [
'get_client',

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@ -38,21 +38,15 @@ import time
from types import SimpleNamespace
from bidict import bidict
import trio
import tractor
from tractor import to_asyncio
import ib_insync as ibis
from ib_insync.wrapper import RequestError
from ib_insync.contract import Contract, ContractDetails
from ib_insync.order import Order
from ib_insync.ticker import Ticker
from ib_insync.objects import (
Position,
Fill,
Execution,
CommissionReport,
)
from ib_insync.objects import Position
import ib_insync as ibis
from ib_insync.wrapper import Wrapper
from ib_insync.client import Client as ib_Client
import numpy as np
@ -161,23 +155,30 @@ class NonShittyIB(ibis.IB):
self.client.apiEnd += self.disconnectedEvent
# map of symbols to contract ids
_adhoc_cmdty_data_map = {
# https://misc.interactivebrokers.com/cstools/contract_info/v3.10/index.php?action=Conid%20Info&wlId=IB&conid=69067924
# NOTE: some cmdtys/metals don't have trade data like gold/usd:
# https://groups.io/g/twsapi/message/44174
'XAUUSD': ({'conId': 69067924}, {'whatToShow': 'MIDPOINT'}),
}
_futes_venues = (
'GLOBEX',
'NYMEX',
'CME',
'CMECRYPTO',
'COMEX',
'CMDTY', # special name case..
)
_adhoc_futes_set = {
# equities
'nq.globex',
'mnq.globex', # micro
'mnq.globex',
'es.globex',
'mes.globex', # micro
'mes.globex',
# cypto$
'brr.cmecrypto',
@ -194,46 +195,20 @@ _adhoc_futes_set = {
# metals
'xauusd.cmdty', # gold spot
'gc.nymex',
'mgc.nymex', # micro
# oil & gas
'cl.nymex',
'mgc.nymex',
'xagusd.cmdty', # silver spot
'ni.nymex', # silver futes
'qi.comex', # mini-silver futes
}
# map of symbols to contract ids
_adhoc_symbol_map = {
# https://misc.interactivebrokers.com/cstools/contract_info/v3.10/index.php?action=Conid%20Info&wlId=IB&conid=69067924
# NOTE: some cmdtys/metals don't have trade data like gold/usd:
# https://groups.io/g/twsapi/message/44174
'XAUUSD': ({'conId': 69067924}, {'whatToShow': 'MIDPOINT'}),
}
for qsn in _adhoc_futes_set:
sym, venue = qsn.split('.')
assert venue.upper() in _futes_venues, f'{venue}'
_adhoc_symbol_map[sym.upper()] = (
{'exchange': venue},
{},
)
# exchanges we don't support at the moment due to not knowing
# how to do symbol-contract lookup correctly likely due
# to not having the data feeds subscribed.
_exch_skip_list = {
'ASX', # aussie stocks
'MEXI', # mexican stocks
# no idea
'VALUE',
'FUNDSERV',
'SWB2',
'VALUE', # no idea
}
# https://misc.interactivebrokers.com/cstools/contract_info/v3.10/index.php?action=Conid%20Info&wlId=IB&conid=69067924
@ -286,29 +261,27 @@ class Client:
# NOTE: the ib.client here is "throttled" to 45 rps by default
async def trades(self) -> dict[str, Any]:
'''
Return list of trade-fills from current session in ``dict``.
async def trades(
self,
# api_only: bool = False,
'''
fills: list[Fill] = self.ib.fills()
norm_fills: list[dict] = []
) -> dict[str, Any]:
# orders = await self.ib.reqCompletedOrdersAsync(
# apiOnly=api_only
# )
fills = await self.ib.reqExecutionsAsync()
norm_fills = []
for fill in fills:
fill = fill._asdict() # namedtuple
for key, val in fill.items():
match val:
case Contract() | Execution() | CommissionReport():
for key, val in fill.copy().items():
if isinstance(val, Contract):
fill[key] = asdict(val)
norm_fills.append(fill)
return norm_fills
async def orders(self) -> list[Order]:
return await self.ib.reqAllOpenOrdersAsync(
apiOnly=False,
)
async def bars(
self,
fqsn: str,
@ -510,14 +483,6 @@ class Client:
return con
async def get_con(
self,
conid: int,
) -> Contract:
return await self.ib.qualifyContractsAsync(
ibis.Contract(conId=conid)
)
async def find_contract(
self,
pattern: str,
@ -588,7 +553,7 @@ class Client:
# commodities
elif exch == 'CMDTY': # eg. XAUUSD.CMDTY
con_kwargs, bars_kwargs = _adhoc_symbol_map[sym]
con_kwargs, bars_kwargs = _adhoc_cmdty_data_map[sym]
con = ibis.Commodity(**con_kwargs)
con.bars_kwargs = bars_kwargs
@ -846,23 +811,10 @@ _scan_ignore: set[tuple[str, int]] = set()
def get_config() -> dict[str, Any]:
conf, path = config.load('brokers')
conf, path = config.load()
section = conf.get('ib')
accounts = section.get('accounts')
if not accounts:
raise ValueError(
'brokers.toml -> `ib.accounts` must be defined\n'
f'location: {path}'
)
names = list(accounts.keys())
accts = section['accounts'] = bidict(accounts)
log.info(
f'brokers.toml defines {len(accts)} accounts: '
f'{pformat(names)}'
)
if section is None:
log.warning(f'No config section found for ib in {path}')
return {}
@ -1038,7 +990,7 @@ async def load_aio_clients(
for acct, client in _accounts2clients.items():
log.info(f'Disconnecting {acct}@{client}')
client.ib.disconnect()
_client_cache.pop((host, port), None)
_client_cache.pop((host, port))
async def load_clients_for_trio(
@ -1067,6 +1019,9 @@ async def load_clients_for_trio(
await asyncio.sleep(float('inf'))
_proxies: dict[str, MethodProxy] = {}
@acm
async def open_client_proxies() -> tuple[
dict[str, MethodProxy],
@ -1089,14 +1044,13 @@ async def open_client_proxies() -> tuple[
if cache_hit:
log.info(f'Re-using cached clients: {clients}')
proxies = {}
for acct_name, client in clients.items():
proxy = await stack.enter_async_context(
open_client_proxy(client),
)
proxies[acct_name] = proxy
_proxies[acct_name] = proxy
yield proxies, clients
yield _proxies, clients
def get_preferred_data_client(
@ -1245,13 +1199,11 @@ async def open_client_proxy(
event_table = {}
async with (
to_asyncio.open_channel_from(
open_aio_client_method_relay,
client=client,
event_consumers=event_table,
) as (first, chan),
trio.open_nursery() as relay_n,
):

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@ -26,10 +26,8 @@ from typing import (
Any,
Optional,
AsyncIterator,
Union,
)
from bidict import bidict
import trio
from trio_typing import TaskStatus
import tractor
@ -44,13 +42,10 @@ from ib_insync.order import (
from ib_insync.objects import (
Fill,
Execution,
CommissionReport,
)
from ib_insync.objects import Position
import pendulum
from piker import config
from piker import pp
from piker.log import get_console_log
from piker.clearing._messages import (
BrokerdOrder,
@ -61,16 +56,13 @@ from piker.clearing._messages import (
BrokerdFill,
BrokerdError,
)
from piker.data._source import Symbol
from .api import (
_accounts2clients,
# _adhoc_futes_set,
_adhoc_symbol_map,
_adhoc_futes_set,
log,
get_config,
open_client_proxies,
Client,
MethodProxy,
)
@ -88,39 +80,29 @@ def pack_position(
# TODO: lookup fqsn even for derivs.
symbol = con.symbol.lower()
# try our best to figure out the exchange / venue
exch = (con.primaryExchange or con.exchange).lower()
symkey = '.'.join((symbol, exch))
if not exch:
# for wtv cucked reason some futes don't show their
# exchange (like CL.NYMEX) ...
entry = _adhoc_symbol_map.get(
con.symbol or con.localSymbol
)
if entry:
meta, kwargs = entry
cid = meta.get('conId')
if cid:
assert con.conId == meta['conId']
exch = meta['exchange']
assert exch, f'No clue:\n {con}'
fqsn = '.'.join((symbol, exch))
# attempt to lookup the symbol from our
# hacked set..
for sym in _adhoc_futes_set:
if symbol in sym:
symkey = sym
break
expiry = con.lastTradeDateOrContractMonth
if expiry:
fqsn += f'.{expiry}'
symkey += f'.{expiry}'
# TODO: options contracts into a sane format..
return (
con.conId,
BrokerdPosition(
return BrokerdPosition(
broker='ib',
account=pos.account,
symbol=fqsn,
symbol=symkey,
currency=con.currency,
size=float(pos.position),
avg_price=float(pos.avgCost) / float(con.multiplier or 1.0),
),
)
@ -148,7 +130,7 @@ async def handle_order_requests(
oid=request_msg['oid'],
symbol=request_msg['symbol'],
reason=f'No account found: `{account}` ?',
))
).dict())
continue
client = _accounts2clients.get(account)
@ -161,7 +143,7 @@ async def handle_order_requests(
oid=request_msg['oid'],
symbol=request_msg['symbol'],
reason=f'No api client loaded for account: `{account}` ?',
))
).dict())
continue
if action in {'buy', 'sell'}:
@ -188,7 +170,7 @@ async def handle_order_requests(
oid=request_msg['oid'],
symbol=request_msg['symbol'],
reason='Order already active?',
))
).dict())
# deliver ack that order has been submitted to broker routing
await ems_order_stream.send(
@ -197,8 +179,9 @@ async def handle_order_requests(
oid=order.oid,
# broker specific request id
reqid=reqid,
time_ns=time.time_ns(),
account=account,
)
).dict()
)
elif action == 'cancel':
@ -222,35 +205,19 @@ async def recv_trade_updates(
# sync with trio task
to_trio.send_nowait(None)
def push_tradesies(
eventkit_obj,
obj,
fill: Optional[Fill] = None,
report: Optional[CommissionReport] = None,
):
'''
Push events to trio task.
def push_tradesies(eventkit_obj, obj, fill=None):
"""Push events to trio task.
'''
match eventkit_obj.name():
case 'orderStatusEvent':
item = ('status', obj)
case 'commissionReportEvent':
assert report
item = ('cost', report)
case 'execDetailsEvent':
"""
if fill is not None:
# execution details event
item = ('fill', (obj, fill))
case 'positionEvent':
elif eventkit_obj.name() == 'positionEvent':
item = ('position', obj)
case _:
log.error(f'Error unknown event {obj}')
return
else:
item = ('status', obj)
log.info(f'eventkit event ->\n{pformat(item)}')
@ -266,15 +233,15 @@ async def recv_trade_updates(
'execDetailsEvent', # all "fill" updates
'positionEvent', # avg price updates per symbol per account
# 'commissionReportEvent',
# XXX: ugh, it is a separate event from IB and it's
# emitted as follows:
# self.ib.commissionReportEvent.emit(trade, fill, report)
'commissionReportEvent',
# XXX: not sure yet if we need these
# 'updatePortfolioEvent',
# XXX: these all seem to be weird ib_insync internal
# XXX: these all seem to be weird ib_insync intrernal
# events that we probably don't care that much about
# given the internal design is wonky af..
# 'newOrderEvent',
@ -290,149 +257,6 @@ async def recv_trade_updates(
await client.ib.disconnectedEvent
async def update_ledger_from_api_trades(
trade_entries: list[dict[str, Any]],
client: Union[Client, MethodProxy],
) -> tuple[
dict[str, pp.Transaction],
dict[str, dict],
]:
conf = get_config()
# XXX; ERRGGG..
# pack in the "primary/listing exchange" value from a
# contract lookup since it seems this isn't available by
# default from the `.fills()` method endpoint...
for entry in trade_entries:
condict = entry['contract']
conid = condict['conId']
pexch = condict['primaryExchange']
if not pexch:
cons = await client.get_con(conid=conid)
if cons:
con = cons[0]
pexch = con.primaryExchange or con.exchange
else:
# for futes it seems like the primary is always empty?
pexch = condict['exchange']
entry['listingExchange'] = pexch
entries = trades_to_ledger_entries(
conf['accounts'].inverse,
trade_entries,
)
# write recent session's trades to the user's (local) ledger file.
records: dict[str, pp.Transactions] = {}
for acctid, trades_by_id in entries.items():
# normalize to transaction form
records[acctid] = norm_trade_records(trades_by_id)
return records, entries
async def update_and_audit_msgs(
acctid: str, # no `ib.` prefix is required!
pps: list[pp.Position],
cids2pps: dict[tuple[str, int], BrokerdPosition],
validate: bool = False,
) -> list[BrokerdPosition]:
msgs: list[BrokerdPosition] = []
# pps: dict[int, pp.Position] = {}
for p in pps:
bsuid = p.bsuid
# build trade-session-actor local table
# of pps from unique symbol ids.
# pps[bsuid] = p
# retreive equivalent ib reported position message
# for comparison/audit versus the piker equivalent
# breakeven pp calcs.
ibppmsg = cids2pps.get((acctid, bsuid))
if ibppmsg:
msg = BrokerdPosition(
broker='ib',
# XXX: ok so this is annoying, we're relaying
# an account name with the backend suffix prefixed
# but when reading accounts from ledgers we don't
# need it and/or it's prefixed in the section
# table..
account=ibppmsg.account,
# XXX: the `.ib` is stripped..?
symbol=ibppmsg.symbol,
currency=ibppmsg.currency,
size=p.size,
avg_price=p.be_price,
)
msgs.append(msg)
if validate:
ibsize = ibppmsg.size
pikersize = msg.size
diff = pikersize - ibsize
# if ib reports a lesser pp it's not as bad since we can
# presume we're at least not more in the shit then we
# thought.
if diff:
raise ValueError(
f'POSITION MISMATCH ib <-> piker ledger:\n'
f'ib: {ibppmsg}\n'
f'piker: {msg}\n'
'YOU SHOULD FIGURE OUT WHY TF YOUR LEDGER IS OFF!?!?'
)
msg.size = ibsize
if ibppmsg.avg_price != msg.avg_price:
# TODO: make this a "propoganda" log level?
log.warning(
'The mega-cucks at IB want you to believe with their '
f'"FIFO" positioning for {msg.symbol}:\n'
f'"ib" mega-cucker avg price: {ibppmsg.avg_price}\n'
f'piker, LIFO breakeven PnL price: {msg.avg_price}'
)
else:
# make brand new message
msg = BrokerdPosition(
broker='ib',
# XXX: ok so this is annoying, we're relaying
# an account name with the backend suffix prefixed
# but when reading accounts from ledgers we don't
# need it and/or it's prefixed in the section
# table.. we should just strip this from the message
# right since `.broker` is already included?
account=f'ib.{acctid}',
# XXX: the `.ib` is stripped..?
symbol=p.symbol.front_fqsn(),
# currency=ibppmsg.currency,
size=p.size,
avg_price=p.be_price,
)
if validate and p.size:
raise ValueError(
f'UNEXPECTED POSITION ib <-> piker ledger:\n'
f'piker: {msg}\n'
'YOU SHOULD FIGURE OUT WHY TF YOUR LEDGER IS OFF!?!?'
)
msgs.append(msg)
return msgs
@tractor.context
async def trades_dialogue(
@ -453,14 +277,6 @@ async def trades_dialogue(
accounts = set()
clients: list[tuple[Client, trio.MemoryReceiveChannel]] = []
# TODO: this causes a massive tractor bug when you run marketstored
# with ``--tsdb``... you should get:
# - first error the assertion
# - chart should get that error and die
# - pikerd goes to debugger again from trio nursery multi-error
# - hitting final control-c to kill daemon will lead to hang
# assert 0
async with (
trio.open_nursery() as nurse,
open_client_proxies() as (proxies, aioclients),
@ -490,83 +306,22 @@ async def trades_dialogue(
assert account in accounts_def
accounts.add(account)
cids2pps: dict[str, BrokerdPosition] = {}
update_records: dict[str, bidict] = {}
# process pp value reported from ib's system. we only use these
# to cross-check sizing since average pricing on their end uses
# the so called (bs) "FIFO" style which more or less results in
# a price that's not useful for traders who want to not lose
# money.. xb
for client in aioclients.values():
for pos in client.positions():
cid, msg = pack_position(pos)
acctid = msg.account = accounts_def.inverse[msg.account]
acctid = acctid.strip('ib.')
cids2pps[(acctid, cid)] = msg
msg = pack_position(pos)
msg.account = accounts_def.inverse[msg.account]
assert msg.account in accounts, (
f'Position for unknown account: {msg.account}')
# collect all ib-pp reported positions so that we can be
# sure know which positions to update from the ledger if
# any are missing from the ``pps.toml``
update_records.setdefault(acctid, bidict())[cid] = msg.symbol
all_positions.append(msg.dict())
# update trades ledgers for all accounts from
# connected api clients which report trades for **this session**.
new_trades = {}
for account, proxy in proxies.items():
trades = await proxy.trades()
(
records_by_acct,
ledger_entries,
) = await update_ledger_from_api_trades(
trades,
proxy,
)
new_trades.update(records_by_acct)
trades: list[dict] = []
for proxy in proxies.values():
trades.append(await proxy.trades())
for acctid, trans in new_trades.items():
for t in trans:
bsuid = t.bsuid
if bsuid in update_records:
assert update_records[bsuid] == t.fqsn
else:
update_records.setdefault(acctid, bidict())[bsuid] = t.fqsn
# load all positions from `pps.toml`, cross check with ib's
# positions data, and relay re-formatted pps as msgs to the ems.
# __2 cases__:
# - new trades have taken place this session that we want to
# always reprocess indempotently,
# - no new trades yet but we want to reload and audit any
# positions reported by ib's sys that may not yet be in
# piker's ``pps.toml`` state-file.
for acctid, to_update in update_records.items():
trans = new_trades.get(acctid)
active, closed = pp.update_pps_conf(
'ib',
acctid,
trade_records=trans,
ledger_reload=to_update,
)
for pps in [active, closed]:
msgs = await update_and_audit_msgs(
acctid,
pps.values(),
cids2pps,
validate=True,
)
all_positions.extend(msg for msg in msgs)
if not all_positions and cids2pps:
raise RuntimeError(
'Positions reported by ib but not found in `pps.toml`!?\n'
f'{pformat(cids2pps)}'
)
# log.info(f'Loaded {len(trades)} from this session')
log.info(f'Loaded {len(trades)} from this session')
# TODO: write trades to local ``trades.toml``
# - use above per-session trades data and write to local file
# - get the "flex reports" working and pull historical data and
@ -577,16 +332,6 @@ async def trades_dialogue(
tuple(name for name in accounts_def if name in accounts),
))
# TODO: maybe just write on teardown?
# we might also want to delegate a specific actor for
# ledger writing / reading for speed?
# write ledger with all new trades **AFTER** we've updated the
# `pps.toml` from the original ledger state!
for acctid, trades_by_id in ledger_entries.items():
with pp.open_trade_ledger('ib', acctid) as ledger:
ledger.update(trades_by_id)
async with (
ctx.open_stream() as ems_stream,
trio.open_nursery() as n,
@ -600,96 +345,32 @@ async def trades_dialogue(
deliver_trade_events,
stream,
ems_stream,
accounts_def,
cids2pps,
proxies,
accounts_def
)
# block until cancelled
await trio.sleep_forever()
async def emit_pp_update(
ems_stream: tractor.MsgStream,
trade_entry: dict,
accounts_def: bidict,
proxies: dict,
cids2pps: dict,
) -> None:
# compute and relay incrementally updated piker pp
acctid = accounts_def.inverse[trade_entry['execution']['acctNumber']]
proxy = proxies[acctid]
acctname = acctid.strip('ib.')
records_by_acct, ledger_entries = await update_ledger_from_api_trades(
[trade_entry],
proxy,
)
records = records_by_acct[acctname]
r = records[0]
# update and load all positions from `pps.toml`, cross check with
# ib's positions data, and relay re-formatted pps as msgs to the
# ems. we report both the open and closed updates in one map since
# for incremental update we may have just fully closed a pp and need
# to relay that msg as well!
active, closed = pp.update_pps_conf(
'ib',
acctname,
trade_records=records,
ledger_reload={r.bsuid: r.fqsn},
)
# NOTE: write ledger with all new trades **AFTER** we've updated the
# `pps.toml` from the original ledger state!
for acctid, trades_by_id in ledger_entries.items():
with pp.open_trade_ledger('ib', acctid) as ledger:
ledger.update(trades_by_id)
for pos in filter(
bool,
[active.get(r.bsuid), closed.get(r.bsuid)]
):
msgs = await update_and_audit_msgs(
acctname,
[pos],
cids2pps,
# ib pp event might not have arrived yet
validate=False,
)
if msgs:
msg = msgs[0]
break
await ems_stream.send(msg)
async def deliver_trade_events(
trade_event_stream: trio.MemoryReceiveChannel,
ems_stream: tractor.MsgStream,
accounts_def: dict[str, str], # eg. `'ib.main'` -> `'DU999999'`
cids2pps: dict[tuple[str, str], BrokerdPosition],
proxies: dict[str, MethodProxy],
accounts_def: dict[str, str],
) -> None:
'''
Format and relay all trade events for a given client to emsd.
'''Format and relay all trade events for a given client to the EMS.
'''
action_map = {'BOT': 'buy', 'SLD': 'sell'}
ids2fills: dict[str, dict] = {}
# TODO: for some reason we can receive a ``None`` here when the
# ib-gw goes down? Not sure exactly how that's happening looking
# at the eventkit code above but we should probably handle it...
async for event_name, item in trade_event_stream:
log.info(f'ib sending {event_name}:\n{pformat(item)}')
match event_name:
# TODO: templating the ib statuses in comparison with other
# brokers is likely the way to go:
# https://interactivebrokers.github.io/tws-api/interfaceIBApi_1_1EWrapper.html#a17f2a02d6449710b6394d0266a353313
@ -713,7 +394,7 @@ async def deliver_trade_events(
# reqId 1550: Order held while securities are located.'),
# status='PreSubmitted', message='')],
case 'status':
if event_name == 'status':
# XXX: begin normalization of nonsense ib_insync internal
# object-state tracking representations...
@ -742,9 +423,8 @@ async def deliver_trade_events(
broker_details={'name': 'ib'},
)
await ems_stream.send(msg)
case 'fill':
elif event_name == 'fill':
# for wtv reason this is a separate event type
# from IB, not sure why it's needed other then for extra
@ -758,35 +438,17 @@ async def deliver_trade_events(
# https://www.python.org/dev/peps/pep-0526/#global-and-local-variable-annotations
trade: Trade
fill: Fill
# TODO: maybe we can use matching to better handle these cases.
trade, fill = item
execu: Execution = fill.execution
execid = execu.execId
# TODO:
# - normalize out commissions details?
# - this is the same as the unpacking loop above in
# ``trades_to_ledger_entries()`` no?
trade_entry = ids2fills.setdefault(execid, {})
cost_already_rx = bool(trade_entry)
# if the costs report was already received this
# should be not empty right?
comms = fill.commissionReport.commission
if cost_already_rx:
assert comms
trade_entry.update(
{
# TODO: normalize out commissions details?
details = {
'contract': asdict(fill.contract),
'execution': asdict(fill.execution),
# 'commissionReport': asdict(fill.commissionReport),
# supposedly server fill time?
'broker_time': execu.time,
'commissions': asdict(fill.commissionReport),
'broker_time': execu.time, # supposedly server fill time
'name': 'ib',
}
)
msg = BrokerdFill(
# should match the value returned from `.submit_limit()`
@ -797,68 +459,14 @@ async def deliver_trade_events(
size=execu.shares,
price=execu.price,
broker_details=trade_entry,
broker_details=details,
# XXX: required by order mode currently
broker_time=trade_entry['broker_time'],
broker_time=details['broker_time'],
)
await ems_stream.send(msg)
# 2 cases:
# - fill comes first or
# - comms report comes first
comms = fill.commissionReport.commission
if comms:
# UGHHH since the commision report object might be
# filled in **after** we already serialized to dict..
# def need something better for all this.
trade_entry.update(
{'commissionReport': asdict(fill.commissionReport)}
)
elif event_name == 'error':
if comms or cost_already_rx:
# only send a pp update once we have a cost report
await emit_pp_update(
ems_stream,
trade_entry,
accounts_def,
proxies,
cids2pps,
)
case 'cost':
cr: CommissionReport = item
execid = cr.execId
trade_entry = ids2fills.setdefault(execid, {})
fill_already_rx = bool(trade_entry)
# only fire a pp msg update if,
# - we haven't already
# - the fill event has already arrived
# but it didn't yet have a commision report
# which we fill in now.
if (
fill_already_rx
and 'commissionReport' not in trade_entry
):
# no fill msg has arrived yet so just fill out the
# cost report for now and when the fill arrives a pp
# msg can be emitted.
trade_entry.update(
{'commissionReport': asdict(cr)}
)
await emit_pp_update(
ems_stream,
trade_entry,
accounts_def,
proxies,
cids2pps,
)
case 'error':
err: dict = item
# f$#$% gawd dammit insync..
@ -872,15 +480,13 @@ async def deliver_trade_events(
# TODO: what schema for this msg if we're going to make it
# portable across all backends?
# msg = BrokerdError(**err)
continue
case 'position':
elif event_name == 'position':
msg = pack_position(item)
msg.account = accounts_def.inverse[msg.account]
cid, msg = pack_position(item)
# acctid = msg.account = accounts_def.inverse[msg.account]
# cuck ib and it's shitty fifo sys for pps!
# await ems_stream.send(msg)
case 'event':
elif event_name == 'event':
# it's either a general system status event or an external
# trade event?
@ -890,7 +496,9 @@ async def deliver_trade_events(
# level...
# reqid = item.get('reqid', 0)
# if getattr(msg, 'reqid', 0) < -1:
# log.info(f"TWS triggered trade\n{pformat(msg)}")
# log.info(f"TWS triggered trade\n{pformat(msg.dict())}")
continue
# msg.reqid = 'tws-' + str(-1 * reqid)
@ -899,200 +507,19 @@ async def deliver_trade_events(
# considering multiplayer/group trades tracking
# msg.broker_details['external_src'] = 'tws'
case _:
log.error(f'WTF: {event_name}: {item}')
def norm_trade_records(
ledger: dict[str, Any],
) -> list[pp.Transaction]:
'''
Normalize a flex report or API retrieved executions
ledger into our standard record format.
'''
records: list[pp.Transaction] = []
for tid, record in ledger.items():
conid = record.get('conId') or record['conid']
comms = record.get('commission') or -1*record['ibCommission']
price = record.get('price') or record['tradePrice']
# the api doesn't do the -/+ on the quantity for you but flex
# records do.. are you fucking serious ib...!?
size = record.get('quantity') or record['shares'] * {
'BOT': 1,
'SLD': -1,
}[record['side']]
exch = record['exchange']
lexch = record.get('listingExchange')
suffix = lexch or exch
symbol = record['symbol']
# likely an opts contract record from a flex report..
# TODO: no idea how to parse ^ the strike part from flex..
# (00010000 any, or 00007500 tsla, ..)
# we probably must do the contract lookup for this?
if ' ' in symbol or '--' in exch:
underlying, _, tail = symbol.partition(' ')
suffix = exch = 'opt'
expiry = tail[:6]
# otype = tail[6]
# strike = tail[7:]
print(f'skipping opts contract {symbol}')
continue
# timestamping is way different in API records
date = record.get('date')
if not date:
# probably a flex record with a wonky non-std timestamp..
date, ts = record['dateTime'].split(';')
dt = pendulum.parse(date)
ts = f'{ts[:2]}:{ts[2:4]}:{ts[4:]}'
tsdt = pendulum.parse(ts)
dt.set(hour=tsdt.hour, minute=tsdt.minute, second=tsdt.second)
else:
# epoch_dt = pendulum.from_timestamp(record.get('time'))
dt = pendulum.parse(date)
# special handling of symbol extraction from
# flex records using some ad-hoc schema parsing.
instr = record.get('assetCategory')
if instr == 'FUT':
symbol = record['description'][:3]
# try to build out piker fqsn from record.
expiry = record.get(
'lastTradeDateOrContractMonth') or record.get('expiry')
if expiry:
expiry = str(expiry).strip(' ')
suffix = f'{exch}.{expiry}'
expiry = pendulum.parse(expiry)
fqsn = Symbol.from_fqsn(
fqsn=f'{symbol}.{suffix}.ib',
info={},
).front_fqsn().rstrip('.ib')
# NOTE: for flex records the normal fields for defining an fqsn
# sometimes won't be available so we rely on two approaches for
# the "reverse lookup" of piker style fqsn keys:
# - when dealing with API trade records received from
# `IB.trades()` we do a contract lookup at he time of processing
# - when dealing with flex records, it is assumed the record
# is at least a day old and thus the TWS position reporting system
# should already have entries if the pps are still open, in
# which case, we can pull the fqsn from that table (see
# `trades_dialogue()` above).
records.append(pp.Transaction(
fqsn=fqsn,
tid=tid,
size=size,
price=price,
cost=comms,
dt=dt,
expiry=expiry,
bsuid=conid,
))
return records
def trades_to_ledger_entries(
accounts: bidict,
trade_entries: list[object],
source_type: str = 'api',
) -> dict:
'''
Convert either of API execution objects or flex report
entry objects into ``dict`` form, pretty much straight up
without modification.
'''
trades_by_account = {}
for t in trade_entries:
if source_type == 'flex':
entry = t.__dict__
# XXX: LOL apparently ``toml`` has a bug
# where a section key error will show up in the write
# if you leave a table key as an `int`? So i guess
# cast to strs for all keys..
# oddly for some so-called "BookTrade" entries
# this field seems to be blank, no cuckin clue.
# trade['ibExecID']
tid = str(entry.get('ibExecID') or entry['tradeID'])
# date = str(entry['tradeDate'])
# XXX: is it going to cause problems if a account name
# get's lost? The user should be able to find it based
# on the actual exec history right?
acctid = accounts[str(entry['accountId'])]
elif source_type == 'api':
# NOTE: example of schema we pull from the API client.
# {
# 'commissionReport': CommissionReport(...
# 'contract': {...
# 'execution': Execution(...
# 'time': 1654801166.0
# }
# flatten all sub-dicts and values into one top level entry.
entry = {}
for section, val in t.items():
match section:
case 'contract' | 'execution' | 'commissionReport':
# sub-dict cases
entry.update(val)
case 'time':
# ib has wack ns timestamps, or is that us?
continue
case _:
entry[section] = val
tid = str(entry['execId'])
dt = pendulum.from_timestamp(entry['time'])
# TODO: why isn't this showing seconds in the str?
entry['date'] = str(dt)
acctid = accounts[entry['acctNumber']]
if not tid:
# this is likely some kind of internal adjustment
# transaction, likely one of the following:
# - an expiry event that will show a "book trade" indicating
# some adjustment to cash balances: zeroing or itm settle.
# - a manual cash balance position adjustment likely done by
# the user from the accounts window in TWS where they can
# manually set the avg price and size:
# https://api.ibkr.com/lib/cstools/faq/web1/index.html#/tag/DTWS_ADJ_AVG_COST
log.warning(f'Skipping ID-less ledger entry:\n{pformat(entry)}')
continue
trades_by_account.setdefault(
acctid, {}
)[tid] = entry
return trades_by_account
# XXX: we always serialize to a dict for msgpack
# translations, ideally we can move to an msgspec (or other)
# encoder # that can be enabled in ``tractor`` ahead of
# time so we can pass through the message types directly.
await ems_stream.send(msg.dict())
def load_flex_trades(
path: Optional[str] = None,
) -> dict[str, Any]:
) -> dict[str, str]:
from pprint import pprint
from ib_insync import flexreport, util
conf = get_config()
@ -1128,38 +555,36 @@ def load_flex_trades(
report = flexreport.FlexReport(path=path)
trade_entries = report.extract('Trade')
ln = len(trade_entries)
# log.info(f'Loaded {ln} trades from flex query')
print(f'Loaded {ln} trades from flex query')
trades = {
# XXX: LOL apparently ``toml`` has a bug
# where a section key error will show up in the write
# if you leave this as an ``int``?
str(t.__dict__['tradeID']): t.__dict__
for t in trade_entries
}
trades_by_account = trades_to_ledger_entries(
# get reverse map to user account names
conf['accounts'].inverse,
trade_entries,
source_type='flex',
)
ln = len(trades)
log.info(f'Loaded {ln} trades from flex query')
ledgers = {}
for acctid, trades_by_id in trades_by_account.items():
with pp.open_trade_ledger('ib', acctid) as ledger:
ledger.update(trades_by_id)
trades_by_account = {}
for tid, trade in trades.items():
trades_by_account.setdefault(
# oddly for some so-called "BookTrade" entries
# this field seems to be blank, no cuckin clue.
# trade['ibExecID']
str(trade['accountId']), {}
)[tid] = trade
ledgers[acctid] = ledger
section = {'ib': trades_by_account}
pprint(section)
return ledgers
# TODO: load the config first and append in
# the new trades loaded here..
try:
config.write(section, 'trades')
except KeyError:
import pdbpp; pdbpp.set_trace() # noqa
if __name__ == '__main__':
import sys
import os
args = sys.argv
if len(args) > 1:
args = args[1:]
for arg in args:
path = os.path.abspath(arg)
load_flex_trades(path=path)
else:
# expect brokers.toml to have an entry and
# pull from the web service.
load_flex_trades()

View File

@ -217,8 +217,8 @@ async def get_bars(
)
elif (
err.code == 162 and
'HMDS query returned no data' in err.message
err.code == 162
and 'HMDS query returned no data' in err.message
):
# XXX: this is now done in the storage mgmt layer
# and we shouldn't implicitly decrement the frame dt
@ -237,13 +237,6 @@ async def get_bars(
frame_size=2000,
)
# elif (
# err.code == 162 and
# 'Trading TWS session is connected from a different IP address' in err.message
# ):
# log.warning("ignoring ip address warning")
# continue
elif _pacing in msg:
log.warning(
@ -916,17 +909,17 @@ async def open_symbol_search(
# trigger async request
await trio.sleep(0)
# # match against our ad-hoc set immediately
# adhoc_matches = fuzzy.extractBests(
# pattern,
# list(_adhoc_futes_set),
# score_cutoff=90,
# )
# log.info(f'fuzzy matched adhocs: {adhoc_matches}')
# adhoc_match_results = {}
# if adhoc_matches:
# # TODO: do we need to pull contract details?
# adhoc_match_results = {i[0]: {} for i in adhoc_matches}
# match against our ad-hoc set immediately
adhoc_matches = fuzzy.extractBests(
pattern,
list(_adhoc_futes_set),
score_cutoff=90,
)
log.info(f'fuzzy matched adhocs: {adhoc_matches}')
adhoc_match_results = {}
if adhoc_matches:
# TODO: do we need to pull contract details?
adhoc_match_results = {i[0]: {} for i in adhoc_matches}
log.debug(f'fuzzy matching stocks {stock_results}')
stock_matches = fuzzy.extractBests(
@ -935,8 +928,7 @@ async def open_symbol_search(
score_cutoff=50,
)
# matches = adhoc_match_results | {
matches = {
matches = adhoc_match_results | {
item[0]: {} for item in stock_matches
}
# TODO: we used to deliver contract details

File diff suppressed because it is too large Load Diff

View File

@ -1,61 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (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/>.
'''
Kraken backend.
Sub-modules within break into the core functionalities:
- ``broker.py`` part for orders / trading endpoints
- ``feed.py`` for real-time data feed endpoints
- ``api.py`` for the core API machinery which is ``trio``-ized
wrapping around ``ib_insync``.
'''
from piker.log import get_logger
log = get_logger(__name__)
from .api import (
get_client,
)
from .feed import (
open_history_client,
open_symbol_search,
stream_quotes,
)
from .broker import (
trades_dialogue,
norm_trade_records,
)
__all__ = [
'get_client',
'trades_dialogue',
'open_history_client',
'open_symbol_search',
'stream_quotes',
'norm_trade_records',
]
# tractor RPC enable arg
__enable_modules__: list[str] = [
'api',
'feed',
'broker',
]

View File

@ -1,468 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (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/>.
'''
Kraken web API wrapping.
'''
from contextlib import asynccontextmanager as acm
from dataclasses import field
from datetime import datetime
import itertools
from typing import (
Any,
Optional,
Union,
)
import time
# import trio
# import tractor
import pendulum
import asks
from fuzzywuzzy import process as fuzzy
import numpy as np
from pydantic.dataclasses import dataclass
import urllib.parse
import hashlib
import hmac
import base64
from piker import config
from piker.brokers._util import (
resproc,
SymbolNotFound,
BrokerError,
DataThrottle,
)
from . import log
# <uri>/<version>/
_url = 'https://api.kraken.com/0'
# Broker specific ohlc schema which includes a vwap field
_ohlc_dtype = [
('index', int),
('time', int),
('open', float),
('high', float),
('low', float),
('close', float),
('volume', float),
('count', int),
('bar_wap', float),
]
# UI components allow this to be declared such that additional
# (historical) fields can be exposed.
ohlc_dtype = np.dtype(_ohlc_dtype)
_show_wap_in_history = True
_symbol_info_translation: dict[str, str] = {
'tick_decimals': 'pair_decimals',
}
@dataclass
class OHLC:
'''
Description of the flattened OHLC quote format.
For schema details see:
https://docs.kraken.com/websockets/#message-ohlc
'''
chan_id: int # internal kraken id
chan_name: str # eg. ohlc-1 (name-interval)
pair: str # fx pair
time: float # Begin time of interval, in seconds since epoch
etime: float # End time of interval, in seconds since epoch
open: float # Open price of interval
high: float # High price within interval
low: float # Low price within interval
close: float # Close price of interval
vwap: float # Volume weighted average price within interval
volume: float # Accumulated volume **within interval**
count: int # Number of trades within interval
# (sampled) generated tick data
ticks: list[Any] = field(default_factory=list)
def get_config() -> dict[str, Any]:
conf, path = config.load()
section = conf.get('kraken')
if section is None:
log.warning(f'No config section found for kraken in {path}')
return {}
return section
def get_kraken_signature(
urlpath: str,
data: dict[str, Any],
secret: str
) -> str:
postdata = urllib.parse.urlencode(data)
encoded = (str(data['nonce']) + postdata).encode()
message = urlpath.encode() + hashlib.sha256(encoded).digest()
mac = hmac.new(base64.b64decode(secret), message, hashlib.sha512)
sigdigest = base64.b64encode(mac.digest())
return sigdigest.decode()
class InvalidKey(ValueError):
'''
EAPI:Invalid key
This error is returned when the API key used for the call is
either expired or disabled, please review the API key in your
Settings -> API tab of account management or generate a new one
and update your application.
'''
class Client:
def __init__(
self,
name: str = '',
api_key: str = '',
secret: str = ''
) -> None:
self._sesh = asks.Session(connections=4)
self._sesh.base_location = _url
self._sesh.headers.update({
'User-Agent':
'krakenex/2.1.0 (+https://github.com/veox/python3-krakenex)'
})
self._pairs: list[str] = []
self._name = name
self._api_key = api_key
self._secret = secret
@property
def pairs(self) -> dict[str, Any]:
if self._pairs is None:
raise RuntimeError(
"Make sure to run `cache_symbols()` on startup!"
)
# retreive and cache all symbols
return self._pairs
async def _public(
self,
method: str,
data: dict,
) -> dict[str, Any]:
resp = await self._sesh.post(
path=f'/public/{method}',
json=data,
timeout=float('inf')
)
return resproc(resp, log)
async def _private(
self,
method: str,
data: dict,
uri_path: str
) -> dict[str, Any]:
headers = {
'Content-Type':
'application/x-www-form-urlencoded',
'API-Key':
self._api_key,
'API-Sign':
get_kraken_signature(uri_path, data, self._secret)
}
resp = await self._sesh.post(
path=f'/private/{method}',
data=data,
headers=headers,
timeout=float('inf')
)
return resproc(resp, log)
async def endpoint(
self,
method: str,
data: dict[str, Any]
) -> dict[str, Any]:
uri_path = f'/0/private/{method}'
data['nonce'] = str(int(1000*time.time()))
return await self._private(method, data, uri_path)
async def get_trades(
self,
) -> dict[str, Any]:
'''
Get the trades (aka cleared orders) history from the rest endpoint:
https://docs.kraken.com/rest/#operation/getTradeHistory
'''
ofs = 0
trades_by_id: dict[str, Any] = {}
for i in itertools.count():
# increment 'ofs' pagination offset
ofs = i*50
resp = await self.endpoint(
'TradesHistory',
{'ofs': ofs},
)
by_id = resp['result']['trades']
trades_by_id.update(by_id)
# we can get up to 50 results per query
if (
len(by_id) < 50
):
err = resp.get('error')
if err:
raise BrokerError(err)
# we know we received the max amount of
# trade results so there may be more history.
# catch the end of the trades
count = resp['result']['count']
break
# santity check on update
assert count == len(trades_by_id.values())
return trades_by_id
async def submit_limit(
self,
symbol: str,
price: float,
action: str,
size: float,
reqid: str = None,
validate: bool = False # set True test call without a real submission
) -> dict:
'''
Place an order and return integer request id provided by client.
'''
# Build common data dict for common keys from both endpoints
data = {
"pair": symbol,
"price": str(price),
"validate": validate
}
if reqid is None:
# Build order data for kraken api
data |= {
"ordertype": "limit",
"type": action,
"volume": str(size),
}
return await self.endpoint('AddOrder', data)
else:
# Edit order data for kraken api
data["txid"] = reqid
return await self.endpoint('EditOrder', data)
async def submit_cancel(
self,
reqid: str,
) -> dict:
'''
Send cancel request for order id ``reqid``.
'''
# txid is a transaction id given by kraken
return await self.endpoint('CancelOrder', {"txid": reqid})
async def symbol_info(
self,
pair: Optional[str] = None,
):
if pair is not None:
pairs = {'pair': pair}
else:
pairs = None # get all pairs
resp = await self._public('AssetPairs', pairs)
err = resp['error']
if err:
symbolname = pairs['pair'] if pair else None
raise SymbolNotFound(f'{symbolname}.kraken')
pairs = resp['result']
if pair is not None:
_, data = next(iter(pairs.items()))
return data
else:
return pairs
async def cache_symbols(
self,
) -> dict:
if not self._pairs:
self._pairs = await self.symbol_info()
return self._pairs
async def search_symbols(
self,
pattern: str,
limit: int = None,
) -> dict[str, Any]:
if self._pairs is not None:
data = self._pairs
else:
data = await self.symbol_info()
matches = fuzzy.extractBests(
pattern,
data,
score_cutoff=50,
)
# repack in dict form
return {item[0]['altname']: item[0] for item in matches}
async def bars(
self,
symbol: str = 'XBTUSD',
# UTC 2017-07-02 12:53:20
since: Optional[Union[int, datetime]] = None,
count: int = 720, # <- max allowed per query
as_np: bool = True,
) -> dict:
if since is None:
since = pendulum.now('UTC').start_of('minute').subtract(
minutes=count).timestamp()
elif isinstance(since, int):
since = pendulum.from_timestamp(since).timestamp()
else: # presumably a pendulum datetime
since = since.timestamp()
# UTC 2017-07-02 12:53:20 is oldest seconds value
since = str(max(1499000000, int(since)))
json = await self._public(
'OHLC',
data={
'pair': symbol,
'since': since,
},
)
try:
res = json['result']
res.pop('last')
bars = next(iter(res.values()))
new_bars = []
first = bars[0]
last_nz_vwap = first[-3]
if last_nz_vwap == 0:
# use close if vwap is zero
last_nz_vwap = first[-4]
# convert all fields to native types
for i, bar in enumerate(bars):
# normalize weird zero-ed vwap values..cmon kraken..
# indicates vwap didn't change since last bar
vwap = float(bar.pop(-3))
if vwap != 0:
last_nz_vwap = vwap
if vwap == 0:
vwap = last_nz_vwap
# re-insert vwap as the last of the fields
bar.append(vwap)
new_bars.append(
(i,) + tuple(
ftype(bar[j]) for j, (name, ftype) in enumerate(
_ohlc_dtype[1:]
)
)
)
array = np.array(new_bars, dtype=_ohlc_dtype) if as_np else bars
return array
except KeyError:
errmsg = json['error'][0]
if 'not found' in errmsg:
raise SymbolNotFound(errmsg + f': {symbol}')
elif 'Too many requests' in errmsg:
raise DataThrottle(f'{symbol}')
else:
raise BrokerError(errmsg)
@acm
async def get_client() -> Client:
section = get_config()
if section:
client = Client(
name=section['key_descr'],
api_key=section['api_key'],
secret=section['secret']
)
else:
client = Client()
# at startup, load all symbols locally for fast search
await client.cache_symbols()
yield client
def normalize_symbol(
ticker: str
) -> str:
'''
Normalize symbol names to to a 3x3 pair.
'''
remap = {
'XXBTZEUR': 'XBTEUR',
'XXMRZEUR': 'XMREUR',
# ws versions? pretty weird..
'XBT/EUR': 'XBTEUR',
'XMR/EUR': 'XMREUR',
}
symlen = len(ticker)
if symlen != 6:
ticker = remap[ticker]
else:
raise ValueError(f'Unhandled symbol: {ticker}')
return ticker.lower()

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@ -1,540 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (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/>.
'''
Order api and machinery
'''
from contextlib import asynccontextmanager as acm
from functools import partial
from itertools import chain
from pprint import pformat
import time
from typing import (
Any,
AsyncIterator,
# Callable,
# Optional,
# Union,
)
import pendulum
import trio
import tractor
import wsproto
from piker import pp
from piker.clearing._messages import (
BrokerdCancel,
BrokerdError,
BrokerdFill,
BrokerdOrder,
BrokerdOrderAck,
BrokerdPosition,
BrokerdStatus,
)
from piker.data.types import Struct
from . import log
from .api import (
Client,
BrokerError,
get_client,
normalize_symbol,
)
from .feed import (
get_console_log,
open_autorecon_ws,
NoBsWs,
stream_messages,
)
class Trade(Struct):
'''
Trade class that helps parse and validate ownTrades stream
'''
reqid: str # kraken order transaction id
action: str # buy or sell
price: float # price of asset
size: float # vol of asset
broker_time: str # e.g GTC, GTD
async def handle_order_requests(
client: Client,
ems_order_stream: tractor.MsgStream,
) -> None:
request_msg: dict
order: BrokerdOrder
async for request_msg in ems_order_stream:
log.info(
'Received order request:\n'
f'{pformat(request_msg)}'
)
action = request_msg['action']
if action in {'buy', 'sell'}:
account = request_msg['account']
if account != 'kraken.spot':
log.error(
'This is a kraken account, \
only a `kraken.spot` selection is valid'
)
await ems_order_stream.send(BrokerdError(
oid=request_msg['oid'],
symbol=request_msg['symbol'],
# reason=f'Kraken only, No account found: `{account}` ?',
reason=(
'Kraken only, order mode disabled due to '
'https://github.com/pikers/piker/issues/299'
),
))
continue
# validate
order = BrokerdOrder(**request_msg)
# call our client api to submit the order
resp = await client.submit_limit(
symbol=order.symbol,
price=order.price,
action=order.action,
size=order.size,
reqid=order.reqid,
)
err = resp['error']
if err:
oid = order.oid
log.error(f'Failed to submit order: {oid}')
await ems_order_stream.send(
BrokerdError(
oid=order.oid,
reqid=order.reqid,
symbol=order.symbol,
reason="Failed order submission",
broker_details=resp
)
)
else:
# TODO: handle multiple orders (cancels?)
# txid is an array of strings
if order.reqid is None:
reqid = resp['result']['txid'][0]
else:
# update the internal pairing of oid to krakens
# txid with the new txid that is returned on edit
reqid = resp['result']['txid']
# deliver ack that order has been submitted to broker routing
await ems_order_stream.send(
BrokerdOrderAck(
# ems order request id
oid=order.oid,
# broker specific request id
reqid=reqid,
# account the made the order
account=order.account
)
)
elif action == 'cancel':
msg = BrokerdCancel(**request_msg)
# Send order cancellation to kraken
resp = await client.submit_cancel(
reqid=msg.reqid
)
# Check to make sure there was no error returned by
# the kraken endpoint. Assert one order was cancelled.
try:
result = resp['result']
count = result['count']
# check for 'error' key if we received no 'result'
except KeyError:
error = resp.get('error')
await ems_order_stream.send(
BrokerdError(
oid=msg.oid,
reqid=msg.reqid,
symbol=msg.symbol,
reason="Failed order cancel",
broker_details=resp
)
)
if not error:
raise BrokerError(f'Unknown order cancel response: {resp}')
else:
if not count: # no orders were cancelled?
# XXX: what exactly is this from and why would we care?
# there doesn't seem to be any docs here?
# https://docs.kraken.com/rest/#operation/cancelOrder
# Check to make sure the cancellation is NOT pending,
# then send the confirmation to the ems order stream
pending = result.get('pending')
if pending:
log.error(f'Order {oid} cancel was not yet successful')
await ems_order_stream.send(
BrokerdError(
oid=msg.oid,
reqid=msg.reqid,
symbol=msg.symbol,
# TODO: maybe figure out if pending
# cancels will eventually get cancelled
reason="Order cancel is still pending?",
broker_details=resp
)
)
else: # order cancel success case.
await ems_order_stream.send(
BrokerdStatus(
reqid=msg.reqid,
account=msg.account,
time_ns=time.time_ns(),
status='cancelled',
reason='Order cancelled',
broker_details={'name': 'kraken'}
)
)
else:
log.error(f'Unknown order command: {request_msg}')
@acm
async def subscribe(
ws: wsproto.WSConnection,
token: str,
subs: list[str] = ['ownTrades', 'openOrders'],
):
'''
Setup ws api subscriptions:
https://docs.kraken.com/websockets/#message-subscribe
By default we sign up for trade and order update events.
'''
# more specific logic for this in kraken's sync client:
# https://github.com/krakenfx/kraken-wsclient-py/blob/master/kraken_wsclient_py/kraken_wsclient_py.py#L188
assert token
for sub in subs:
msg = {
'event': 'subscribe',
'subscription': {
'name': sub,
'token': token,
}
}
# TODO: we want to eventually allow unsubs which should
# be completely fine to request from a separate task
# since internally the ws methods appear to be FIFO
# locked.
await ws.send_msg(msg)
yield
for sub in subs:
# unsub from all pairs on teardown
await ws.send_msg({
'event': 'unsubscribe',
'subscription': [sub],
})
# XXX: do we need to ack the unsub?
# await ws.recv_msg()
@tractor.context
async def trades_dialogue(
ctx: tractor.Context,
loglevel: str = None,
) -> AsyncIterator[dict[str, Any]]:
# XXX: required to propagate ``tractor`` loglevel to piker logging
get_console_log(loglevel or tractor.current_actor().loglevel)
async with get_client() as client:
# TODO: make ems flip to paper mode via
# some returned signal if the user only wants to use
# the data feed or we return this?
# await ctx.started(({}, ['paper']))
if not client._api_key:
raise RuntimeError(
'Missing Kraken API key in `brokers.toml`!?!?')
# auth required block
acctid = client._name
acc_name = 'kraken.' + acctid
# pull and deliver trades ledger
trades = await client.get_trades()
log.info(
f'Loaded {len(trades)} trades from account `{acc_name}`'
)
trans = await update_ledger(acctid, trades)
active, closed = pp.update_pps_conf(
'kraken',
acctid,
trade_records=trans,
ledger_reload={}.fromkeys(t.bsuid for t in trans),
)
position_msgs: list[dict] = []
pps: dict[int, pp.Position]
for pps in [active, closed]:
for tid, p in pps.items():
msg = BrokerdPosition(
broker='kraken',
account=acc_name,
symbol=p.symbol.front_fqsn(),
size=p.size,
avg_price=p.be_price,
currency='',
)
position_msgs.append(msg)
await ctx.started(
(position_msgs, [acc_name])
)
# Get websocket token for authenticated data stream
# Assert that a token was actually received.
resp = await client.endpoint('GetWebSocketsToken', {})
err = resp.get('error')
if err:
raise BrokerError(err)
token = resp['result']['token']
ws: NoBsWs
async with (
ctx.open_stream() as ems_stream,
open_autorecon_ws(
'wss://ws-auth.kraken.com/',
fixture=partial(
subscribe,
token=token,
),
) as ws,
trio.open_nursery() as n,
):
# task for processing inbound requests from ems
n.start_soon(handle_order_requests, client, ems_stream)
count: int = 0
# process and relay trades events to ems
# https://docs.kraken.com/websockets/#message-ownTrades
async for msg in stream_messages(ws):
match msg:
case [
trades_msgs,
'ownTrades',
{'sequence': seq},
]:
# XXX: do we actually need this orrr?
# ensure that we are only processing new trades?
assert seq > count
count += 1
# flatten msgs for processing
trades = {
tid: trade
for entry in trades_msgs
for (tid, trade) in entry.items()
# only emit entries which are already not-in-ledger
if tid not in {r.tid for r in trans}
}
for tid, trade in trades.items():
# parse-cast
reqid = trade['ordertxid']
action = trade['type']
price = float(trade['price'])
size = float(trade['vol'])
broker_time = float(trade['time'])
# send a fill msg for gui update
fill_msg = BrokerdFill(
reqid=reqid,
time_ns=time.time_ns(),
action=action,
size=size,
price=price,
# TODO: maybe capture more msg data
# i.e fees?
broker_details={'name': 'kraken'},
broker_time=broker_time
)
await ems_stream.send(fill_msg)
filled_msg = BrokerdStatus(
reqid=reqid,
time_ns=time.time_ns(),
account=acc_name,
status='filled',
filled=size,
reason='Order filled by kraken',
broker_details={
'name': 'kraken',
'broker_time': broker_time
},
# TODO: figure out if kraken gives a count
# of how many units of underlying were
# filled. Alternatively we can decrement
# this value ourselves by associating and
# calcing from the diff with the original
# client-side request, see:
# https://github.com/pikers/piker/issues/296
remaining=0,
)
await ems_stream.send(filled_msg)
# update ledger and position tracking
trans = await update_ledger(acctid, trades)
active, closed = pp.update_pps_conf(
'kraken',
acctid,
trade_records=trans,
ledger_reload={}.fromkeys(
t.bsuid for t in trans),
)
# emit pp msgs
for pos in filter(
bool,
chain(active.values(), closed.values()),
):
pp_msg = BrokerdPosition(
broker='kraken',
# XXX: ok so this is annoying, we're
# relaying an account name with the
# backend suffix prefixed but when
# reading accounts from ledgers we
# don't need it and/or it's prefixed
# in the section table.. we should
# just strip this from the message
# right since `.broker` is already
# included?
account=f'kraken.{acctid}',
symbol=pos.symbol.front_fqsn(),
size=pos.size,
avg_price=pos.be_price,
# TODO
# currency=''
)
await ems_stream.send(pp_msg)
case [
trades_msgs,
'openOrders',
{'sequence': seq},
]:
# TODO: async order update handling which we
# should remove from `handle_order_requests()`
# above:
# https://github.com/pikers/piker/issues/293
# https://github.com/pikers/piker/issues/310
log.info(f'Order update {seq}:{trades_msgs}')
case _:
log.warning(f'Unhandled trades msg: {msg}')
await tractor.breakpoint()
def norm_trade_records(
ledger: dict[str, Any],
) -> list[pp.Transaction]:
records: list[pp.Transaction] = []
for tid, record in ledger.items():
size = record.get('vol') * {
'buy': 1,
'sell': -1,
}[record['type']]
bsuid = record['pair']
norm_sym = normalize_symbol(bsuid)
records.append(
pp.Transaction(
fqsn=f'{norm_sym}.kraken',
tid=tid,
size=float(size),
price=float(record['price']),
cost=float(record['fee']),
dt=pendulum.from_timestamp(float(record['time'])),
bsuid=bsuid,
# XXX: there are no derivs on kraken right?
# expiry=expiry,
)
)
return records
async def update_ledger(
acctid: str,
trade_entries: list[dict[str, Any]],
) -> list[pp.Transaction]:
# write recent session's trades to the user's (local) ledger file.
with pp.open_trade_ledger(
'kraken',
acctid,
) as ledger:
ledger.update(trade_entries)
# normalize to transaction form
records = norm_trade_records(trade_entries)
return records

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@ -1,464 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (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/>.
'''
Real-time and historical data feed endpoints.
'''
from contextlib import asynccontextmanager as acm
from dataclasses import asdict
from datetime import datetime
from typing import (
Any,
Optional,
Callable,
)
import time
from fuzzywuzzy import process as fuzzy
import numpy as np
import pendulum
from trio_typing import TaskStatus
import tractor
import trio
import wsproto
from piker._cacheables import open_cached_client
from piker.brokers._util import (
BrokerError,
DataThrottle,
DataUnavailable,
)
from piker.log import get_console_log
from piker.data import ShmArray
from piker.data.types import Struct
from piker.data._web_bs import open_autorecon_ws, NoBsWs
from . import log
from .api import (
Client,
OHLC,
)
# https://www.kraken.com/features/api#get-tradable-pairs
class Pair(Struct):
altname: str # alternate pair name
wsname: str # WebSocket pair name (if available)
aclass_base: str # asset class of base component
base: str # asset id of base component
aclass_quote: str # asset class of quote component
quote: str # asset id of quote component
lot: str # volume lot size
pair_decimals: int # scaling decimal places for pair
lot_decimals: int # scaling decimal places for volume
# amount to multiply lot volume by to get currency volume
lot_multiplier: float
# array of leverage amounts available when buying
leverage_buy: list[int]
# array of leverage amounts available when selling
leverage_sell: list[int]
# fee schedule array in [volume, percent fee] tuples
fees: list[tuple[int, float]]
# maker fee schedule array in [volume, percent fee] tuples (if on
# maker/taker)
fees_maker: list[tuple[int, float]]
fee_volume_currency: str # volume discount currency
margin_call: str # margin call level
margin_stop: str # stop-out/liquidation margin level
ordermin: float # minimum order volume for pair
async def stream_messages(
ws: NoBsWs,
):
'''
Message stream parser and heartbeat handler.
Deliver ws subscription messages as well as handle heartbeat logic
though a single async generator.
'''
too_slow_count = last_hb = 0
while True:
with trio.move_on_after(5) as cs:
msg = await ws.recv_msg()
# trigger reconnection if heartbeat is laggy
if cs.cancelled_caught:
too_slow_count += 1
if too_slow_count > 20:
log.warning(
"Heartbeat is too slow, resetting ws connection")
await ws._connect()
too_slow_count = 0
continue
if isinstance(msg, dict):
if msg.get('event') == 'heartbeat':
now = time.time()
delay = now - last_hb
last_hb = now
# XXX: why tf is this not printing without --tl flag?
log.debug(f"Heartbeat after {delay}")
# print(f"Heartbeat after {delay}")
continue
err = msg.get('errorMessage')
if err:
raise BrokerError(err)
else:
yield msg
async def process_data_feed_msgs(
ws: NoBsWs,
):
'''
Parse and pack data feed messages.
'''
async for msg in stream_messages(ws):
chan_id, *payload_array, chan_name, pair = msg
if 'ohlc' in chan_name:
yield 'ohlc', OHLC(chan_id, chan_name, pair, *payload_array[0])
elif 'spread' in chan_name:
bid, ask, ts, bsize, asize = map(float, payload_array[0])
# TODO: really makes you think IB has a horrible API...
quote = {
'symbol': pair.replace('/', ''),
'ticks': [
{'type': 'bid', 'price': bid, 'size': bsize},
{'type': 'bsize', 'price': bid, 'size': bsize},
{'type': 'ask', 'price': ask, 'size': asize},
{'type': 'asize', 'price': ask, 'size': asize},
],
}
yield 'l1', quote
# elif 'book' in msg[-2]:
# chan_id, *payload_array, chan_name, pair = msg
# print(msg)
else:
print(f'UNHANDLED MSG: {msg}')
yield msg
def normalize(
ohlc: OHLC,
) -> dict:
quote = asdict(ohlc)
quote['broker_ts'] = quote['time']
quote['brokerd_ts'] = time.time()
quote['symbol'] = quote['pair'] = quote['pair'].replace('/', '')
quote['last'] = quote['close']
quote['bar_wap'] = ohlc.vwap
# seriously eh? what's with this non-symmetry everywhere
# in subscription systems...
# XXX: piker style is always lowercases symbols.
topic = quote['pair'].replace('/', '').lower()
# print(quote)
return topic, quote
def make_sub(pairs: list[str], data: dict[str, Any]) -> dict[str, str]:
'''
Create a request subscription packet dict.
https://docs.kraken.com/websockets/#message-subscribe
'''
# eg. specific logic for this in kraken's sync client:
# https://github.com/krakenfx/kraken-wsclient-py/blob/master/kraken_wsclient_py/kraken_wsclient_py.py#L188
return {
'pair': pairs,
'event': 'subscribe',
'subscription': data,
}
@acm
async def open_history_client(
symbol: str,
) -> tuple[Callable, int]:
# TODO implement history getter for the new storage layer.
async with open_cached_client('kraken') as client:
# lol, kraken won't send any more then the "last"
# 720 1m bars.. so we have to just ignore further
# requests of this type..
queries: int = 0
async def get_ohlc(
end_dt: Optional[datetime] = None,
start_dt: Optional[datetime] = None,
) -> tuple[
np.ndarray,
datetime, # start
datetime, # end
]:
nonlocal queries
if queries > 0:
raise DataUnavailable
count = 0
while count <= 3:
try:
array = await client.bars(
symbol,
since=end_dt,
)
count += 1
queries += 1
break
except DataThrottle:
log.warning(f'kraken OHLC throttle for {symbol}')
await trio.sleep(1)
start_dt = pendulum.from_timestamp(array[0]['time'])
end_dt = pendulum.from_timestamp(array[-1]['time'])
return array, start_dt, end_dt
yield get_ohlc, {'erlangs': 1, 'rate': 1}
async def backfill_bars(
sym: str,
shm: ShmArray, # type: ignore # noqa
count: int = 10, # NOTE: any more and we'll overrun the underlying buffer
task_status: TaskStatus[trio.CancelScope] = trio.TASK_STATUS_IGNORED,
) -> None:
'''
Fill historical bars into shared mem / storage afap.
'''
with trio.CancelScope() as cs:
async with open_cached_client('kraken') as client:
bars = await client.bars(symbol=sym)
shm.push(bars)
task_status.started(cs)
async def stream_quotes(
send_chan: trio.abc.SendChannel,
symbols: list[str],
feed_is_live: trio.Event,
loglevel: str = None,
# backend specific
sub_type: str = 'ohlc',
# startup sync
task_status: TaskStatus[tuple[dict, dict]] = trio.TASK_STATUS_IGNORED,
) -> None:
'''
Subscribe for ohlc stream of quotes for ``pairs``.
``pairs`` must be formatted <crypto_symbol>/<fiat_symbol>.
'''
# XXX: required to propagate ``tractor`` loglevel to piker logging
get_console_log(loglevel or tractor.current_actor().loglevel)
ws_pairs = {}
sym_infos = {}
async with open_cached_client('kraken') as client, send_chan as send_chan:
# keep client cached for real-time section
for sym in symbols:
# transform to upper since piker style is always lower
sym = sym.upper()
si = Pair(**await client.symbol_info(sym)) # validation
syminfo = si.to_dict()
syminfo['price_tick_size'] = 1 / 10**si.pair_decimals
syminfo['lot_tick_size'] = 1 / 10**si.lot_decimals
syminfo['asset_type'] = 'crypto'
sym_infos[sym] = syminfo
ws_pairs[sym] = si.wsname
symbol = symbols[0].lower()
init_msgs = {
# pass back token, and bool, signalling if we're the writer
# and that history has been written
symbol: {
'symbol_info': sym_infos[sym],
'shm_write_opts': {'sum_tick_vml': False},
'fqsn': sym,
},
}
@acm
async def subscribe(ws: wsproto.WSConnection):
# XXX: setup subs
# https://docs.kraken.com/websockets/#message-subscribe
# specific logic for this in kraken's shitty sync client:
# https://github.com/krakenfx/kraken-wsclient-py/blob/master/kraken_wsclient_py/kraken_wsclient_py.py#L188
ohlc_sub = make_sub(
list(ws_pairs.values()),
{'name': 'ohlc', 'interval': 1}
)
# TODO: we want to eventually allow unsubs which should
# be completely fine to request from a separate task
# since internally the ws methods appear to be FIFO
# locked.
await ws.send_msg(ohlc_sub)
# trade data (aka L1)
l1_sub = make_sub(
list(ws_pairs.values()),
{'name': 'spread'} # 'depth': 10}
)
# pull a first quote and deliver
await ws.send_msg(l1_sub)
yield
# unsub from all pairs on teardown
await ws.send_msg({
'pair': list(ws_pairs.values()),
'event': 'unsubscribe',
'subscription': ['ohlc', 'spread'],
})
# XXX: do we need to ack the unsub?
# await ws.recv_msg()
# see the tips on reconnection logic:
# https://support.kraken.com/hc/en-us/articles/360044504011-WebSocket-API-unexpected-disconnections-from-market-data-feeds
ws: NoBsWs
async with open_autorecon_ws(
'wss://ws.kraken.com/',
fixture=subscribe,
) as ws:
# pull a first quote and deliver
msg_gen = process_data_feed_msgs(ws)
# TODO: use ``anext()`` when it lands in 3.10!
typ, ohlc_last = await msg_gen.__anext__()
topic, quote = normalize(ohlc_last)
task_status.started((init_msgs, quote))
# lol, only "closes" when they're margin squeezing clients ;P
feed_is_live.set()
# keep start of last interval for volume tracking
last_interval_start = ohlc_last.etime
# start streaming
async for typ, ohlc in msg_gen:
if typ == 'ohlc':
# TODO: can get rid of all this by using
# ``trades`` subscription...
# generate tick values to match time & sales pane:
# https://trade.kraken.com/charts/KRAKEN:BTC-USD?period=1m
volume = ohlc.volume
# new OHLC sample interval
if ohlc.etime > last_interval_start:
last_interval_start = ohlc.etime
tick_volume = volume
else:
# this is the tick volume *within the interval*
tick_volume = volume - ohlc_last.volume
ohlc_last = ohlc
last = ohlc.close
if tick_volume:
ohlc.ticks.append({
'type': 'trade',
'price': last,
'size': tick_volume,
})
topic, quote = normalize(ohlc)
elif typ == 'l1':
quote = ohlc
topic = quote['symbol'].lower()
await send_chan.send({topic: quote})
@tractor.context
async def open_symbol_search(
ctx: tractor.Context,
) -> Client:
async with open_cached_client('kraken') as client:
# load all symbols locally for fast search
cache = await client.cache_symbols()
await ctx.started(cache)
async with ctx.open_stream() as stream:
async for pattern in stream:
matches = fuzzy.extractBests(
pattern,
cache,
score_cutoff=50,
)
# repack in dict form
await stream.send(
{item[0]['altname']: item[0]
for item in matches}
)

View File

@ -22,10 +22,54 @@ from enum import Enum
from typing import Optional
from bidict import bidict
from pydantic import BaseModel, validator
from ..data._source import Symbol
from ..data.types import Struct
from ..pp import Position
from ._messages import BrokerdPosition, Status
class Position(BaseModel):
'''
Basic pp (personal position) model with attached fills history.
This type should be IPC wire ready?
'''
symbol: Symbol
# last size and avg entry price
size: float
avg_price: float # TODO: contextual pricing
# ordered record of known constituent trade messages
fills: list[Status] = []
def update_from_msg(
self,
msg: BrokerdPosition,
) -> None:
# XXX: better place to do this?
symbol = self.symbol
lot_size_digits = symbol.lot_size_digits
avg_price, size = (
round(msg['avg_price'], ndigits=symbol.tick_size_digits),
round(msg['size'], ndigits=lot_size_digits),
)
self.avg_price = avg_price
self.size = size
@property
def dsize(self) -> float:
'''
The "dollar" size of the pp, normally in trading (fiat) unit
terms.
'''
return self.avg_price * self.size
_size_units = bidict({
@ -40,30 +84,33 @@ SizeUnit = Enum(
)
class Allocator(Struct):
class Allocator(BaseModel):
class Config:
validate_assignment = True
copy_on_model_validation = False
arbitrary_types_allowed = True
# required to get the account validator lookup working?
extra = 'allow'
underscore_attrs_are_private = False
symbol: Symbol
account: Optional[str] = 'paper'
_size_units: bidict[str, Optional[str]] = _size_units
# TODO: for enums this clearly doesn't fucking work, you can't set
# a default at startup by passing in a `dict` but yet you can set
# that value through assignment..for wtv cucked reason.. honestly, pure
# unintuitive garbage.
_size_unit: str = 'currency'
size_unit: str = 'currency'
_size_units: dict[str, Optional[str]] = _size_units
@property
def size_unit(self) -> str:
return self._size_unit
@size_unit.setter
def size_unit(self, v: str) -> Optional[str]:
@validator('size_unit', pre=True)
def maybe_lookup_key(cls, v):
# apply the corresponding enum key for the text "description" value
if v not in _size_units:
v = _size_units.inverse[v]
return _size_units.inverse[v]
assert v in _size_units
self._size_unit = v
return v
# TODO: if we ever want ot support non-uniform entry-slot-proportion
@ -126,7 +173,7 @@ class Allocator(Struct):
l_sub_pp = self.units_limit - abs_live_size
elif size_unit == 'currency':
live_cost_basis = abs_live_size * live_pp.be_price
live_cost_basis = abs_live_size * live_pp.avg_price
slot_size = currency_per_slot / price
l_sub_pp = (self.currency_limit - live_cost_basis) / price
@ -158,7 +205,7 @@ class Allocator(Struct):
if size_unit == 'currency':
# compute the "projected" limit's worth of units at the
# current pp (weighted) price:
slot_size = currency_per_slot / live_pp.be_price
slot_size = currency_per_slot / live_pp.avg_price
else:
slot_size = u_per_slot
@ -197,12 +244,7 @@ class Allocator(Struct):
if order_size < slot_size:
# compute a fractional slots size to display
slots_used = self.slots_used(
Position(
symbol=sym,
size=order_size,
be_price=price,
bsuid=sym,
)
Position(symbol=sym, size=order_size, avg_price=price)
)
return {
@ -229,8 +271,8 @@ class Allocator(Struct):
abs_pp_size = abs(pp.size)
if self.size_unit == 'currency':
# live_currency_size = size or (abs_pp_size * pp.be_price)
live_currency_size = abs_pp_size * pp.be_price
# live_currency_size = size or (abs_pp_size * pp.avg_price)
live_currency_size = abs_pp_size * pp.avg_price
prop = live_currency_size / self.currency_limit
else:
@ -258,7 +300,7 @@ def mk_allocator(
# default allocation settings
defaults: dict[str, float] = {
'account': None, # select paper by default
# 'size_unit': 'currency',
'size_unit': 'currency',
'units_limit': 400,
'currency_limit': 5e3,
'slots': 4,
@ -297,13 +339,10 @@ def mk_allocator(
# entry step 1.0
alloc.units_limit = alloc.slots
else:
alloc.size_unit = 'currency'
# if the current position is already greater then the limit
# settings, increase the limit to the current position
if alloc.size_unit == 'currency':
startup_size = startup_pp.size * startup_pp.be_price
startup_size = startup_pp.size * startup_pp.avg_price
if startup_size > alloc.currency_limit:
alloc.currency_limit = round(startup_size, ndigits=2)

View File

@ -58,11 +58,11 @@ class OrderBook:
def send(
self,
msg: Order | dict,
msg: Order,
) -> dict:
self._sent_orders[msg.oid] = msg
self._to_ems.send_nowait(msg)
self._to_ems.send_nowait(msg.dict())
return msg
def update(
@ -73,8 +73,9 @@ class OrderBook:
) -> dict:
cmd = self._sent_orders[uuid]
msg = cmd.copy(update=data)
self._sent_orders[uuid] = msg
msg = cmd.dict()
msg.update(data)
self._sent_orders[uuid] = Order(**msg)
self._to_ems.send_nowait(msg)
return cmd
@ -87,7 +88,7 @@ class OrderBook:
oid=uuid,
symbol=cmd.symbol,
)
self._to_ems.send_nowait(msg)
self._to_ems.send_nowait(msg.dict())
_orders: OrderBook = None
@ -148,7 +149,7 @@ async def relay_order_cmds_from_sync_code(
book = get_orders()
async with book._from_order_book.subscribe() as orders_stream:
async for cmd in orders_stream:
if cmd.symbol == symbol_key:
if cmd['symbol'] == symbol_key:
log.info(f'Send order cmd:\n{pformat(cmd)}')
# send msg over IPC / wire
await to_ems_stream.send(cmd)

View File

@ -20,12 +20,12 @@ In da suit parlances: "Execution management systems"
"""
from contextlib import asynccontextmanager
from dataclasses import dataclass, field
from math import isnan
from pprint import pformat
import time
from typing import AsyncIterator, Callable
from bidict import bidict
from pydantic import BaseModel
import trio
from trio_typing import TaskStatus
import tractor
@ -33,7 +33,6 @@ import tractor
from ..log import get_logger
from ..data._normalize import iterticks
from ..data.feed import Feed, maybe_open_feed
from ..data.types import Struct
from .._daemon import maybe_spawn_brokerd
from . import _paper_engine as paper
from ._messages import (
@ -231,7 +230,7 @@ async def clear_dark_triggers(
price=submit_price,
size=cmd['size'],
)
await brokerd_orders_stream.send(msg)
await brokerd_orders_stream.send(msg.dict())
# mark this entry as having sent an order
# request. the entry will be replaced once the
@ -247,11 +246,14 @@ async def clear_dark_triggers(
msg = Status(
oid=oid, # ems order id
time_ns=time.time_ns(),
resp=resp,
time_ns=time.time_ns(),
symbol=fqsn,
trigger_price=price,
brokerd_msg=cmd,
)
broker_details={'name': broker},
cmd=cmd, # original request message
).dict()
# remove exec-condition from set
log.info(f'removing pred for {oid}')
@ -287,11 +289,7 @@ class TradesRelay:
brokerd_dialogue: tractor.MsgStream
# map of symbols to dicts of accounts to pp msgs
positions: dict[
# brokername, acctid
tuple[str, str],
list[BrokerdPosition],
]
positions: dict[str, dict[str, BrokerdPosition]]
# allowed account names
accounts: tuple[str]
@ -300,7 +298,7 @@ class TradesRelay:
consumers: int = 0
class Router(Struct):
class Router(BaseModel):
'''
Order router which manages and tracks per-broker dark book,
alerts, clearing and related data feed management.
@ -321,6 +319,10 @@ class Router(Struct):
# brokername to trades-dialogues streams with ``brokerd`` actors
relays: dict[str, TradesRelay] = {}
class Config:
arbitrary_types_allowed = True
underscore_attrs_are_private = False
def get_dark_book(
self,
brokername: str,
@ -459,24 +461,18 @@ async def open_brokerd_trades_dialogue(
# normalizing them to EMS messages and relaying back to
# the piker order client set.
# locally cache and track positions per account with
# a table of (brokername, acctid) -> `BrokerdPosition`
# msgs.
# locally cache and track positions per account.
pps = {}
for msg in positions:
log.info(f'loading pp: {msg}')
account = msg['account']
# TODO: better value error for this which
# dumps the account and message and states the
# mismatch..
assert account in accounts
pps.setdefault(
(broker, account),
[],
).append(msg)
f'{msg["symbol"]}.{broker}',
{}
)[account] = msg
relay = TradesRelay(
brokerd_dialogue=brokerd_trades_stream,
@ -574,17 +570,19 @@ async def translate_and_relay_brokerd_events(
if name == 'position':
pos_msg = BrokerdPosition(**brokerd_msg)
pos_msg = BrokerdPosition(**brokerd_msg).dict()
# XXX: this will be useful for automatic strats yah?
# keep pps per account up to date locally in ``emsd`` mem
sym, broker = pos_msg.symbol, pos_msg.broker
sym, broker = pos_msg['symbol'], pos_msg['broker']
relay.positions.setdefault(
# NOTE: translate to a FQSN!
(broker, sym),
[]
).append(pos_msg)
f'{sym}.{broker}',
{}
).setdefault(
pos_msg['account'], {}
).update(pos_msg)
# fan-out-relay position msgs immediately by
# broadcasting updates on all client streams
@ -637,8 +635,8 @@ async def translate_and_relay_brokerd_events(
# something is out of order, we don't have an oid for
# this broker-side message.
log.error(
f'Unknown oid: {oid} for msg:\n'
f'{pformat(brokerd_msg)}\n'
'Unknown oid:{oid} for msg:\n'
f'{pformat(brokerd_msg)}'
'Unable to relay message to client side!?'
)
@ -669,7 +667,7 @@ async def translate_and_relay_brokerd_events(
entry.reqid = reqid
# tell broker to cancel immediately
await brokerd_trades_stream.send(entry)
await brokerd_trades_stream.send(entry.dict())
# - the order is now active and will be mirrored in
# our book -> registered as live flow
@ -709,7 +707,7 @@ async def translate_and_relay_brokerd_events(
# if 10147 in message: cancel
resp = 'broker_errored'
broker_details = msg
broker_details = msg.dict()
# don't relay message to order requester client
# continue
@ -744,7 +742,7 @@ async def translate_and_relay_brokerd_events(
resp = 'broker_' + msg.status
# pass the BrokerdStatus msg inside the broker details field
broker_details = msg
broker_details = msg.dict()
elif name in (
'fill',
@ -753,7 +751,7 @@ async def translate_and_relay_brokerd_events(
# proxy through the "fill" result(s)
resp = 'broker_filled'
broker_details = msg
broker_details = msg.dict()
log.info(f'\nFill for {oid} cleared with:\n{pformat(resp)}')
@ -771,7 +769,7 @@ async def translate_and_relay_brokerd_events(
time_ns=time.time_ns(),
broker_reqid=reqid,
brokerd_msg=broker_details,
)
).dict()
)
except KeyError:
log.error(
@ -836,14 +834,14 @@ async def process_client_order_cmds(
# NOTE: cancel response will be relayed back in messages
# from corresponding broker
if reqid is not None:
if reqid:
# send cancel to brokerd immediately!
log.info(
f'Submitting cancel for live order {reqid}'
)
await brokerd_order_stream.send(msg)
await brokerd_order_stream.send(msg.dict())
else:
# this might be a cancel for an order that hasn't been
@ -865,7 +863,7 @@ async def process_client_order_cmds(
resp='dark_cancelled',
oid=oid,
time_ns=time.time_ns(),
)
).dict()
)
# de-register this client dialogue
router.dialogues.pop(oid)
@ -920,7 +918,7 @@ async def process_client_order_cmds(
# handle relaying the ems side responses back to
# the client/cmd sender from this request
log.info(f'Sending live order to {broker}:\n{pformat(msg)}')
await brokerd_order_stream.send(msg)
await brokerd_order_stream.send(msg.dict())
# an immediate response should be ``BrokerdOrderAck``
# with ems order id from the ``trades_dialogue()``
@ -945,12 +943,6 @@ async def process_client_order_cmds(
# like every other shitty tina platform that makes
# the user choose the predicate operator.
last = dark_book.lasts[fqsn]
# sometimes the real-time feed hasn't come up
# so just pull from the latest history.
if isnan(last):
last = feed.shm.array[-1]['close']
pred = mk_check(trigger_price, last, action)
spread_slap: float = 5
@ -1000,7 +992,7 @@ async def process_client_order_cmds(
resp=resp,
oid=oid,
time_ns=time.time_ns(),
)
).dict()
)
@ -1096,12 +1088,15 @@ async def _emsd_main(
brokerd_stream = relay.brokerd_dialogue # .clone()
# flatten out collected pps from brokerd for delivery
pp_msgs = {
fqsn: list(pps.values())
for fqsn, pps in relay.positions.items()
}
# signal to client that we're started and deliver
# all known pps and accounts for this ``brokerd``.
await ems_ctx.started((
relay.positions,
list(relay.accounts),
))
await ems_ctx.started((pp_msgs, list(relay.accounts)))
# establish 2-way stream with requesting order-client and
# begin handling inbound order requests and updates
@ -1138,14 +1133,8 @@ async def _emsd_main(
)
finally:
# try to remove client from "registry"
try:
# remove client from "registry"
_router.clients.remove(ems_client_order_stream)
except KeyError:
log.warning(
f'Stream {ems_client_order_stream._ctx.chan.uid}'
' was already dropped?'
)
dialogues = _router.dialogues

View File

@ -1,5 +1,5 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# Copyright (C) Tyler Goodlet (in stewardship for piker0)
# 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
@ -15,26 +15,21 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Clearing sub-system message and protocols.
Clearing system messagingn types and protocols.
"""
from typing import Optional, Union
# TODO: try out just encoding/send direction for now?
# import msgspec
from pydantic import BaseModel
from ..data._source import Symbol
from ..data.types import Struct
# TODO: ``msgspec`` stuff worth paying attention to:
# - schema evolution: https://jcristharif.com/msgspec/usage.html#schema-evolution
# - use literals for a common msg determined by diff keys?
# - https://jcristharif.com/msgspec/usage.html#literal
# - for eg. ``BrokerdStatus``, instead just have separate messages?
# --------------
# Client -> emsd
# --------------
class Cancel(Struct):
class Cancel(BaseModel):
'''Cancel msg for removing a dark (ems triggered) or
broker-submitted (live) trigger/order.
@ -44,10 +39,8 @@ class Cancel(Struct):
symbol: str
class Order(Struct):
class Order(BaseModel):
# TODO: use ``msgspec.Literal``
# https://jcristharif.com/msgspec/usage.html#literal
action: str # {'buy', 'sell', 'alert'}
# internal ``emdsd`` unique "order id"
oid: str # uuid4
@ -55,9 +48,6 @@ class Order(Struct):
account: str # should we set a default as '' ?
price: float
# TODO: could we drop the ``.action`` field above and instead just
# use +/- values here? Would make the msg smaller at the sake of a
# teensie fp precision?
size: float
brokers: list[str]
@ -69,14 +59,20 @@ class Order(Struct):
# the backend broker
exec_mode: str # {'dark', 'live', 'paper'}
class Config:
# just for pre-loading a ``Symbol`` when used
# in the order mode staging process
arbitrary_types_allowed = True
# don't copy this model instance when used in
# a recursive model
copy_on_model_validation = False
# --------------
# Client <- emsd
# --------------
# update msgs from ems which relay state change info
# from the active clearing engine.
class Status(Struct):
class Status(BaseModel):
name: str = 'status'
oid: str # uuid4
@ -99,6 +95,8 @@ class Status(Struct):
# }
resp: str # "response", see above
# symbol: str
# trigger info
trigger_price: Optional[float] = None
# price: float
@ -113,12 +111,10 @@ class Status(Struct):
brokerd_msg: dict = {}
# ---------------
# emsd -> brokerd
# ---------------
# requests *sent* from ems to respective backend broker daemon
class BrokerdCancel(Struct):
class BrokerdCancel(BaseModel):
action: str = 'cancel'
oid: str # piker emsd order id
@ -134,7 +130,7 @@ class BrokerdCancel(Struct):
reqid: Optional[Union[int, str]] = None
class BrokerdOrder(Struct):
class BrokerdOrder(BaseModel):
action: str # {buy, sell}
oid: str
@ -154,12 +150,11 @@ class BrokerdOrder(Struct):
size: float
# ---------------
# emsd <- brokerd
# ---------------
# requests *received* to ems from broker backend
class BrokerdOrderAck(Struct):
class BrokerdOrderAck(BaseModel):
'''
Immediate reponse to a brokerd order request providing the broker
specific unique order id so that the EMS can associate this
@ -177,7 +172,7 @@ class BrokerdOrderAck(Struct):
account: str = ''
class BrokerdStatus(Struct):
class BrokerdStatus(BaseModel):
name: str = 'status'
reqid: Union[int, str]
@ -210,7 +205,7 @@ class BrokerdStatus(Struct):
}
class BrokerdFill(Struct):
class BrokerdFill(BaseModel):
'''
A single message indicating a "fill-details" event from the broker
if avaiable.
@ -235,7 +230,7 @@ class BrokerdFill(Struct):
broker_time: float
class BrokerdError(Struct):
class BrokerdError(BaseModel):
'''
Optional error type that can be relayed to emsd for error handling.
@ -254,7 +249,7 @@ class BrokerdError(Struct):
broker_details: dict = {}
class BrokerdPosition(Struct):
class BrokerdPosition(BaseModel):
'''Position update event from brokerd.
'''
@ -263,6 +258,6 @@ class BrokerdPosition(Struct):
broker: str
account: str
symbol: str
currency: str
size: float
avg_price: float
currency: str = ''

View File

@ -31,8 +31,6 @@ import tractor
from dataclasses import dataclass
from .. import data
from ..data._source import Symbol
from ..pp import Position
from ..data._normalize import iterticks
from ..data._source import unpack_fqsn
from ..log import get_logger
@ -117,7 +115,7 @@ class PaperBoi:
reason='paper_trigger',
remaining=size,
)
await self.ems_trades_stream.send(msg)
await self.ems_trades_stream.send(msg.dict())
# if we're already a clearing price simulate an immediate fill
if (
@ -173,7 +171,7 @@ class PaperBoi:
broker=self.broker,
time_ns=time.time_ns(),
)
await self.ems_trades_stream.send(msg)
await self.ems_trades_stream.send(msg.dict())
async def fake_fill(
self,
@ -216,7 +214,7 @@ class PaperBoi:
'name': self.broker + '_paper',
},
)
await self.ems_trades_stream.send(msg)
await self.ems_trades_stream.send(msg.dict())
if order_complete:
@ -240,7 +238,7 @@ class PaperBoi:
'name': self.broker,
},
)
await self.ems_trades_stream.send(msg)
await self.ems_trades_stream.send(msg.dict())
# lookup any existing position
token = f'{symbol}.{self.broker}'
@ -259,16 +257,31 @@ class PaperBoi:
)
)
# delegate update to `.pp.Position.lifo_update()`
pp = Position(
Symbol(key=symbol),
size=pp_msg.size,
be_price=pp_msg.avg_price,
bsuid=symbol,
)
pp_msg.size, pp_msg.avg_price = pp.lifo_update(size, price)
# "avg position price" calcs
# TODO: eventually it'd be nice to have a small set of routines
# to do this stuff from a sequence of cleared orders to enable
# so called "contextual positions".
new_size = size + pp_msg.size
await self.ems_trades_stream.send(pp_msg)
# old size minus the new size gives us size differential with
# +ve -> increase in pp size
# -ve -> decrease in pp size
size_diff = abs(new_size) - abs(pp_msg.size)
if new_size == 0:
pp_msg.avg_price = 0
elif size_diff > 0:
# only update the "average position price" when the position
# size increases not when it decreases (i.e. the position is
# being made smaller)
pp_msg.avg_price = (
abs(size) * price + pp_msg.avg_price * abs(pp_msg.size)
) / abs(new_size)
pp_msg.size = new_size
await self.ems_trades_stream.send(pp_msg.dict())
async def simulate_fills(
@ -377,14 +390,13 @@ async def handle_order_requests(
account = request_msg['account']
if account != 'paper':
log.error(
'This is a paper account,'
' only a `paper` selection is valid'
'This is a paper account, only a `paper` selection is valid'
)
await ems_order_stream.send(BrokerdError(
oid=request_msg['oid'],
symbol=request_msg['symbol'],
reason=f'Paper only. No account found: `{account}` ?',
))
).dict())
continue
# validate
@ -416,7 +428,7 @@ async def handle_order_requests(
# broker specific request id
reqid=reqid,
)
).dict()
)
elif action == 'cancel':
@ -452,7 +464,7 @@ async def trades_dialogue(
# TODO: load paper positions per broker from .toml config file
# and pass as symbol to position data mapping: ``dict[str, dict]``
# await ctx.started(all_positions)
await ctx.started(({}, ['paper']))
await ctx.started(({}, {'paper',}))
async with (
ctx.open_stream() as ems_stream,

View File

@ -83,9 +83,9 @@ def pikerd(loglevel, host, tl, pdb, tsdb):
)
log.info(
f'`marketstored` up!\n'
f'pid: {pid}\n'
f'container id: {cid[:12]}\n'
f'`marketstore` up!\n'
f'`marketstored` pid: {pid}\n'
f'docker container id: {cid}\n'
f'config: {pformat(config)}'
)

View File

@ -21,7 +21,6 @@ Broker configuration mgmt.
import platform
import sys
import os
from os import path
from os.path import dirname
import shutil
from typing import Optional
@ -112,7 +111,6 @@ if _parent_user:
_conf_names: set[str] = {
'brokers',
'pps',
'trades',
'watchlists',
}
@ -149,21 +147,19 @@ def get_conf_path(
conf_name: str = 'brokers',
) -> str:
'''
Return the top-level default config path normally under
``~/.config/piker`` on linux for a given ``conf_name``, the config
name.
"""Return the default config path normally under
``~/.config/piker`` on linux.
Contains files such as:
- brokers.toml
- pp.toml
- watchlists.toml
- trades.toml
# maybe coming soon ;)
- signals.toml
- strats.toml
'''
"""
assert conf_name in _conf_names
fn = _conf_fn_w_ext(conf_name)
return os.path.join(
@ -177,7 +173,7 @@ def repodir():
Return the abspath to the repo directory.
'''
dirpath = path.abspath(
dirpath = os.path.abspath(
# we're 3 levels down in **this** module file
dirname(dirname(os.path.realpath(__file__)))
)
@ -186,9 +182,7 @@ def repodir():
def load(
conf_name: str = 'brokers',
path: str = None,
**tomlkws,
path: str = None
) -> (dict, str):
'''
@ -196,7 +190,6 @@ def load(
'''
path = path or get_conf_path(conf_name)
if not os.path.isfile(path):
fn = _conf_fn_w_ext(conf_name)
@ -209,11 +202,8 @@ def load(
# if one exists.
if os.path.isfile(template):
shutil.copyfile(template, path)
else:
with open(path, 'w'):
pass # touch
config = toml.load(path, **tomlkws)
config = toml.load(path)
log.debug(f"Read config file {path}")
return config, path
@ -222,7 +212,6 @@ def write(
config: dict, # toml config as dict
name: str = 'brokers',
path: str = None,
**toml_kwargs,
) -> None:
''''
@ -246,14 +235,11 @@ def write(
f"{path}"
)
with open(path, 'w') as cf:
return toml.dump(
config,
cf,
**toml_kwargs,
)
return toml.dump(config, cf)
def load_accounts(
providers: Optional[list[str]] = None
) -> bidict[str, Optional[str]]:

View File

@ -37,7 +37,6 @@ from docker.models.containers import Container as DockerContainer
from docker.errors import (
DockerException,
APIError,
# ContainerError,
)
from requests.exceptions import ConnectionError, ReadTimeout
@ -51,8 +50,8 @@ class DockerNotStarted(Exception):
'Prolly you dint start da daemon bruh'
class ApplicationLogError(Exception):
'App in container reported an error in logs'
class ContainerError(RuntimeError):
'Error reported via app-container logging level'
@acm
@ -97,9 +96,9 @@ async def open_docker(
# not perms?
raise
# finally:
# if client:
# client.close()
finally:
if client:
client.close()
class Container:
@ -157,7 +156,7 @@ class Container:
# print(f'level: {level}')
if level in ('error', 'fatal'):
raise ApplicationLogError(msg)
raise ContainerError(msg)
if patt in msg:
return True
@ -186,21 +185,6 @@ class Container:
if 'is not running' in err.explanation:
return False
def hard_kill(self, start: float) -> None:
delay = time.time() - start
log.error(
f'Failed to kill container {self.cntr.id} after {delay}s\n'
'sending SIGKILL..'
)
# get out the big guns, bc apparently marketstore
# doesn't actually know how to terminate gracefully
# :eyeroll:...
self.try_signal('SIGKILL')
self.cntr.wait(
timeout=3,
condition='not-running',
)
async def cancel(
self,
stop_msg: str,
@ -247,9 +231,21 @@ class Container:
ConnectionError,
):
log.exception('Docker connection failure')
self.hard_kill(start)
break
else:
self.hard_kill(start)
delay = time.time() - start
log.error(
f'Failed to kill container {cid} after {delay}s\n'
'sending SIGKILL..'
)
# get out the big guns, bc apparently marketstore
# doesn't actually know how to terminate gracefully
# :eyeroll:...
self.try_signal('SIGKILL')
self.cntr.wait(
timeout=3,
condition='not-running',
)
log.cancel(f'Container stopped: {cid}')

View File

@ -27,14 +27,13 @@ from multiprocessing.shared_memory import SharedMemory, _USE_POSIX
if _USE_POSIX:
from _posixshmem import shm_unlink
# import msgspec
import numpy as np
from numpy.lib import recfunctions as rfn
import tractor
import numpy as np
from pydantic import BaseModel
from numpy.lib import recfunctions as rfn
from ..log import get_logger
from ._source import base_iohlc_dtype
from .types import Struct
log = get_logger(__name__)
@ -108,12 +107,15 @@ class SharedInt:
log.warning(f'Shm for {name} already unlinked?')
class _Token(Struct, frozen=True):
class _Token(BaseModel):
'''
Internal represenation of a shared memory "token"
which can be used to key a system wide post shm entry.
'''
class Config:
frozen = True
shm_name: str # this servers as a "key" value
shm_first_index_name: str
shm_last_index_name: str
@ -124,22 +126,17 @@ class _Token(Struct, frozen=True):
return np.dtype(list(map(tuple, self.dtype_descr))).descr
def as_msg(self):
return self.to_dict()
return self.dict()
@classmethod
def from_msg(cls, msg: dict) -> _Token:
if isinstance(msg, _Token):
return msg
# TODO: native struct decoding
# return _token_dec.decode(msg)
msg['dtype_descr'] = tuple(map(tuple, msg['dtype_descr']))
return _Token(**msg)
# _token_dec = msgspec.msgpack.Decoder(_Token)
# TODO: this api?
# _known_tokens = tractor.ActorVar('_shm_tokens', {})
# _known_tokens = tractor.ContextStack('_known_tokens', )
@ -170,7 +167,7 @@ def _make_token(
shm_name=key,
shm_first_index_name=key + "_first",
shm_last_index_name=key + "_last",
dtype_descr=tuple(np.dtype(dtype).descr)
dtype_descr=np.dtype(dtype).descr
)

View File

@ -23,7 +23,7 @@ import decimal
from bidict import bidict
import numpy as np
from msgspec import Struct
from pydantic import BaseModel
# from numba import from_dtype
@ -126,7 +126,7 @@ def unpack_fqsn(fqsn: str) -> tuple[str, str, str]:
)
class Symbol(Struct):
class Symbol(BaseModel):
'''
I guess this is some kinda container thing for dealing with
all the different meta-data formats from brokers?
@ -152,7 +152,9 @@ class Symbol(Struct):
info: dict[str, Any],
suffix: str = '',
) -> Symbol:
# XXX: like wtf..
# ) -> 'Symbol':
) -> None:
tick_size = info.get('price_tick_size', 0.01)
lot_tick_size = info.get('lot_tick_size', 0.0)
@ -173,7 +175,9 @@ class Symbol(Struct):
fqsn: str,
info: dict[str, Any],
) -> Symbol:
# XXX: like wtf..
# ) -> 'Symbol':
) -> None:
broker, key, suffix = unpack_fqsn(fqsn)
return cls.from_broker_info(
broker,
@ -236,7 +240,7 @@ class Symbol(Struct):
'''
tokens = self.tokens()
fqsn = '.'.join(map(str.lower, tokens))
fqsn = '.'.join(tokens)
return fqsn
def iterfqsns(self) -> list[str]:

View File

@ -53,11 +53,13 @@ class NoBsWs:
def __init__(
self,
url: str,
token: str,
stack: AsyncExitStack,
fixture: Callable,
serializer: ModuleType = json,
):
self.url = url
self.token = token
self.fixture = fixture
self._stack = stack
self._ws: 'WebSocketConnection' = None # noqa
@ -81,9 +83,14 @@ class NoBsWs:
trio_websocket.open_websocket_url(self.url)
)
# rerun user code fixture
if self.token == '':
ret = await self._stack.enter_async_context(
self.fixture(self)
)
else:
ret = await self._stack.enter_async_context(
self.fixture(self, self.token)
)
assert ret is None
@ -128,13 +135,14 @@ async def open_autorecon_ws(
# TODO: proper type annot smh
fixture: Callable,
# used for authenticated websockets
token: str = '',
) -> AsyncGenerator[tuple[...], NoBsWs]:
"""Apparently we can QoS for all sorts of reasons..so catch em.
"""
async with AsyncExitStack() as stack:
ws = NoBsWs(url, stack, fixture=fixture)
ws = NoBsWs(url, token, stack, fixture=fixture)
await ws._connect()
try:

View File

@ -42,6 +42,7 @@ from trio_typing import TaskStatus
import trimeter
import tractor
from tractor.trionics import maybe_open_context
from pydantic import BaseModel
import pendulum
import numpy as np
@ -58,7 +59,6 @@ from ._sharedmem import (
ShmArray,
)
from .ingest import get_ingestormod
from .types import Struct
from ._source import (
base_iohlc_dtype,
Symbol,
@ -84,7 +84,7 @@ if TYPE_CHECKING:
log = get_logger(__name__)
class _FeedsBus(Struct):
class _FeedsBus(BaseModel):
'''
Data feeds broadcaster and persistence management.
@ -100,6 +100,10 @@ class _FeedsBus(Struct):
a dedicated cancel scope.
'''
class Config:
arbitrary_types_allowed = True
underscore_attrs_are_private = False
brokername: str
nursery: trio.Nursery
feeds: dict[str, tuple[dict, dict]] = {}

View File

@ -1,68 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Guillermo Rodriguez (in stewardship for piker0)
# 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/>.
"""
Built-in (extension) types.
"""
from typing import Optional
from pprint import pformat
import msgspec
class Struct(
msgspec.Struct,
# https://jcristharif.com/msgspec/structs.html#tagged-unions
# tag='pikerstruct',
# tag=True,
):
'''
A "human friendlier" (aka repl buddy) struct subtype.
'''
def to_dict(self) -> dict:
return {
f: getattr(self, f)
for f in self.__struct_fields__
}
def __repr__(self):
return f'Struct({pformat(self.to_dict())})'
def copy(
self,
update: Optional[dict] = None,
) -> msgspec.Struct:
'''
Validate-typecast all self defined fields, return a copy of us
with all such fields.
This is kinda like the default behaviour in `pydantic.BaseModel`.
'''
if update:
for k, v in update.items():
setattr(self, k, v)
# roundtrip serialize to validate
return msgspec.msgpack.Decoder(
type=type(self)
).decode(
msgspec.msgpack.Encoder().encode(self)
)

View File

@ -114,7 +114,7 @@ async def fsp_compute(
dict[str, np.ndarray], # multi-output case
np.ndarray, # single output case
]
history_output = await anext(out_stream)
history_output = await out_stream.__anext__()
func_name = func.__name__
profiler(f'{func_name} generated history')
@ -374,8 +374,7 @@ async def cascade(
'key': dst_shm_token,
'first': dst._first.value,
'last': dst._last.value,
}
})
}})
return tracker, index
def is_synced(

View File

@ -1,788 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (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/>.
'''
Personal/Private position parsing, calculating, summarizing in a way
that doesn't try to cuk most humans who prefer to not lose their moneys..
(looking at you `ib` and dirt-bird friends)
'''
from collections import deque
from contextlib import contextmanager as cm
# from pprint import pformat
import os
from os import path
from math import copysign
import re
import time
from typing import (
Any,
Optional,
Union,
)
from msgspec import Struct
import pendulum
from pendulum import datetime, now
import tomli
import toml
from . import config
from .brokers import get_brokermod
from .clearing._messages import BrokerdPosition, Status
from .data._source import Symbol
from .log import get_logger
log = get_logger(__name__)
@cm
def open_trade_ledger(
broker: str,
account: str,
) -> str:
'''
Indempotently create and read in a trade log file from the
``<configuration_dir>/ledgers/`` directory.
Files are named per broker account of the form
``<brokername>_<accountname>.toml``. The ``accountname`` here is the
name as defined in the user's ``brokers.toml`` config.
'''
ldir = path.join(config._config_dir, 'ledgers')
if not path.isdir(ldir):
os.makedirs(ldir)
fname = f'trades_{broker}_{account}.toml'
tradesfile = path.join(ldir, fname)
if not path.isfile(tradesfile):
log.info(
f'Creating new local trades ledger: {tradesfile}'
)
with open(tradesfile, 'w') as cf:
pass # touch
with open(tradesfile, 'rb') as cf:
start = time.time()
ledger = tomli.load(cf)
print(f'Ledger load took {time.time() - start}s')
cpy = ledger.copy()
try:
yield cpy
finally:
if cpy != ledger:
# TODO: show diff output?
# https://stackoverflow.com/questions/12956957/print-diff-of-python-dictionaries
print(f'Updating ledger for {tradesfile}:\n')
ledger.update(cpy)
# we write on close the mutated ledger data
with open(tradesfile, 'w') as cf:
return toml.dump(ledger, cf)
class Transaction(Struct):
# TODO: should this be ``.to`` (see below)?
fqsn: str
tid: Union[str, int] # unique transaction id
size: float
price: float
cost: float # commisions or other additional costs
dt: datetime
expiry: Optional[datetime] = None
# optional key normally derived from the broker
# backend which ensures the instrument-symbol this record
# is for is truly unique.
bsuid: Optional[Union[str, int]] = None
# optional fqsn for the source "asset"/money symbol?
# from: Optional[str] = None
class Position(Struct):
'''
Basic pp (personal/piker position) model with attached clearing
transaction history.
'''
symbol: Symbol
# can be +ve or -ve for long/short
size: float
# "breakeven price" above or below which pnl moves above and below
# zero for the entirety of the current "trade state".
be_price: float
# unique backend symbol id
bsuid: str
# ordered record of known constituent trade messages
clears: dict[
Union[str, int, Status], # trade id
dict[str, Any], # transaction history summaries
] = {}
expiry: Optional[datetime] = None
def to_dict(self) -> dict:
return {
f: getattr(self, f)
for f in self.__struct_fields__
}
def to_pretoml(self) -> dict:
'''
Prep this position's data contents for export to toml including
re-structuring of the ``.clears`` table to an array of
inline-subtables for better ``pps.toml`` compactness.
'''
d = self.to_dict()
clears = d.pop('clears')
expiry = d.pop('expiry')
if expiry:
d['expiry'] = str(expiry)
clears_list = []
for tid, data in clears.items():
inline_table = toml.TomlDecoder().get_empty_inline_table()
inline_table['tid'] = tid
for k, v in data.items():
inline_table[k] = v
clears_list.append(inline_table)
d['clears'] = clears_list
return d
def update_from_msg(
self,
msg: BrokerdPosition,
) -> None:
# XXX: better place to do this?
symbol = self.symbol
lot_size_digits = symbol.lot_size_digits
be_price, size = (
round(
msg['avg_price'],
ndigits=symbol.tick_size_digits
),
round(
msg['size'],
ndigits=lot_size_digits
),
)
self.be_price = be_price
self.size = size
@property
def dsize(self) -> float:
'''
The "dollar" size of the pp, normally in trading (fiat) unit
terms.
'''
return self.be_price * self.size
def update(
self,
t: Transaction,
) -> None:
self.clears[t.tid] = {
'cost': t.cost,
'price': t.price,
'size': t.size,
'dt': str(t.dt),
}
def lifo_update(
self,
size: float,
price: float,
cost: float = 0,
# TODO: idea: "real LIFO" dynamic positioning.
# - when a trade takes place where the pnl for
# the (set of) trade(s) is below the breakeven price
# it may be that the trader took a +ve pnl on a short(er)
# term trade in the same account.
# - in this case we could recalc the be price to
# be reverted back to it's prior value before the nearest term
# trade was opened.?
# dynamic_breakeven_price: bool = False,
) -> (float, float):
'''
Incremental update using a LIFO-style weighted mean.
'''
# "avg position price" calcs
# TODO: eventually it'd be nice to have a small set of routines
# to do this stuff from a sequence of cleared orders to enable
# so called "contextual positions".
new_size = self.size + size
# old size minus the new size gives us size diff with
# +ve -> increase in pp size
# -ve -> decrease in pp size
size_diff = abs(new_size) - abs(self.size)
if new_size == 0:
self.be_price = 0
elif size_diff > 0:
# XXX: LOFI incremental update:
# only update the "average price" when
# the size increases not when it decreases (i.e. the
# position is being made smaller)
self.be_price = (
# weight of current exec = (size * price) + cost
(abs(size) * price)
+
(copysign(1, new_size) * cost) # transaction cost
+
# weight of existing be price
self.be_price * abs(self.size) # weight of previous pp
) / abs(new_size) # normalized by the new size: weighted mean.
self.size = new_size
return new_size, self.be_price
def minimize_clears(
self,
) -> dict[str, dict]:
'''
Minimize the position's clears entries by removing
all transactions before the last net zero size to avoid
unecessary history irrelevant to the current pp state.
'''
size: float = self.size
clears_since_zero: deque[tuple(str, dict)] = deque()
# scan for the last "net zero" position by
# iterating clears in reverse.
for tid, clear in reversed(self.clears.items()):
size -= clear['size']
clears_since_zero.appendleft((tid, clear))
if size == 0:
break
self.clears = dict(clears_since_zero)
return self.clears
def update_pps(
records: dict[str, Transaction],
pps: Optional[dict[str, Position]] = None
) -> dict[str, Position]:
'''
Compile a set of positions from a trades ledger.
'''
pps: dict[str, Position] = pps or {}
# lifo update all pps from records
for r in records:
pp = pps.setdefault(
r.bsuid,
# if no existing pp, allocate fresh one.
Position(
Symbol.from_fqsn(
r.fqsn,
info={},
),
size=0.0,
be_price=0.0,
bsuid=r.bsuid,
expiry=r.expiry,
)
)
# don't do updates for ledger records we already have
# included in the current pps state.
if r.tid in pp.clears:
# NOTE: likely you'll see repeats of the same
# ``Transaction`` passed in here if/when you are restarting
# a ``brokerd.ib`` where the API will re-report trades from
# the current session, so we need to make sure we don't
# "double count" these in pp calculations.
continue
# lifo style "breakeven" price calc
pp.lifo_update(
r.size,
r.price,
# include transaction cost in breakeven price
# and presume the worst case of the same cost
# to exit this transaction (even though in reality
# it will be dynamic based on exit stratetgy).
cost=2*r.cost,
)
# track clearing data
pp.update(r)
return pps
def load_pps_from_ledger(
brokername: str,
acctname: str,
# post normalization filter on ledger entries to be processed
filter_by: Optional[list[dict]] = None,
) -> dict[str, Position]:
'''
Open a ledger file by broker name and account and read in and
process any trade records into our normalized ``Transaction``
form and then pass these into the position processing routine
and deliver the two dict-sets of the active and closed pps.
'''
with open_trade_ledger(
brokername,
acctname,
) as ledger:
if not ledger:
# null case, no ledger file with content
return {}
brokermod = get_brokermod(brokername)
src_records = brokermod.norm_trade_records(ledger)
if filter_by:
bsuids = set(filter_by)
records = list(filter(lambda r: r.bsuid in bsuids, src_records))
else:
records = src_records
return update_pps(records)
def get_pps(
brokername: str,
acctids: Optional[set[str]] = set(),
) -> dict[str, dict[str, Position]]:
'''
Read out broker-specific position entries from
incremental update file: ``pps.toml``.
'''
conf, path = config.load(
'pps',
# load dicts as inlines to preserve compactness
# _dict=toml.decoder.InlineTableDict,
)
all_active = {}
all_closed = {}
# try to load any ledgers if no section found
bconf, path = config.load('brokers')
accounts = bconf[brokername]['accounts']
for account in accounts:
# TODO: instead of this filter we could
# always send all known pps but just not audit
# them since an active client might not be up?
if (
acctids and
f'{brokername}.{account}' not in acctids
):
continue
active, closed = update_pps_conf(brokername, account)
all_active.setdefault(account, {}).update(active)
all_closed.setdefault(account, {}).update(closed)
return all_active, all_closed
# TODO: instead see if we can hack tomli and tomli-w to do the same:
# - https://github.com/hukkin/tomli
# - https://github.com/hukkin/tomli-w
class PpsEncoder(toml.TomlEncoder):
'''
Special "styled" encoder that makes a ``pps.toml`` redable and
compact by putting `.clears` tables inline and everything else
flat-ish.
'''
separator = ','
def dump_list(self, v):
'''
Dump an inline list with a newline after every element and
with consideration for denoted inline table types.
'''
retval = "[\n"
for u in v:
if isinstance(u, toml.decoder.InlineTableDict):
out = self.dump_inline_table(u)
else:
out = str(self.dump_value(u))
retval += " " + out + "," + "\n"
retval += "]"
return retval
def dump_inline_table(self, section):
"""Preserve inline table in its compact syntax instead of expanding
into subsection.
https://github.com/toml-lang/toml#user-content-inline-table
"""
val_list = []
for k, v in section.items():
# if isinstance(v, toml.decoder.InlineTableDict):
if isinstance(v, dict):
val = self.dump_inline_table(v)
else:
val = str(self.dump_value(v))
val_list.append(k + " = " + val)
retval = "{ " + ", ".join(val_list) + " }"
return retval
def dump_sections(self, o, sup):
retstr = ""
if sup != "" and sup[-1] != ".":
sup += '.'
retdict = self._dict()
arraystr = ""
for section in o:
qsection = str(section)
value = o[section]
if not re.match(r'^[A-Za-z0-9_-]+$', section):
qsection = toml.encoder._dump_str(section)
# arrayoftables = False
if (
self.preserve
and isinstance(value, toml.decoder.InlineTableDict)
):
retstr += (
qsection
+
" = "
+
self.dump_inline_table(o[section])
+
'\n' # only on the final terminating left brace
)
# XXX: this code i'm pretty sure is just blatantly bad
# and/or wrong..
# if isinstance(o[section], list):
# for a in o[section]:
# if isinstance(a, dict):
# arrayoftables = True
# if arrayoftables:
# for a in o[section]:
# arraytabstr = "\n"
# arraystr += "[[" + sup + qsection + "]]\n"
# s, d = self.dump_sections(a, sup + qsection)
# if s:
# if s[0] == "[":
# arraytabstr += s
# else:
# arraystr += s
# while d:
# newd = self._dict()
# for dsec in d:
# s1, d1 = self.dump_sections(d[dsec], sup +
# qsection + "." +
# dsec)
# if s1:
# arraytabstr += ("[" + sup + qsection +
# "." + dsec + "]\n")
# arraytabstr += s1
# for s1 in d1:
# newd[dsec + "." + s1] = d1[s1]
# d = newd
# arraystr += arraytabstr
elif isinstance(value, dict):
retdict[qsection] = o[section]
elif o[section] is not None:
retstr += (
qsection
+
" = "
+
str(self.dump_value(o[section]))
)
# if not isinstance(value, dict):
if not isinstance(value, toml.decoder.InlineTableDict):
# inline tables should not contain newlines:
# https://toml.io/en/v1.0.0#inline-table
retstr += '\n'
else:
raise ValueError(value)
retstr += arraystr
return (retstr, retdict)
def load_pps_from_toml(
brokername: str,
acctid: str,
# XXX: there is an edge case here where we may want to either audit
# the retrieved ``pps.toml`` output or reprocess it since there was
# an error on write on the last attempt to update the state file
# even though the ledger *was* updated. For this cases we allow the
# caller to pass in a symbol set they'd like to reload from the
# underlying ledger to be reprocessed in computing pps state.
reload_records: Optional[dict[str, str]] = None,
update_from_ledger: bool = False,
) -> tuple[dict, dict[str, Position]]:
'''
Load and marshal to objects all pps from either an existing
``pps.toml`` config, or from scratch from a ledger file when
none yet exists.
'''
conf, path = config.load('pps')
brokersection = conf.setdefault(brokername, {})
pps = brokersection.setdefault(acctid, {})
pp_objs = {}
# no pps entry yet for this broker/account so parse any available
# ledgers to build a brand new pps state.
if not pps or update_from_ledger:
pp_objs = load_pps_from_ledger(
brokername,
acctid,
)
# Reload symbol specific ledger entries if requested by the
# caller **AND** none exist in the current pps state table.
elif (
pps and reload_records
):
# no pps entry yet for this broker/account so parse
# any available ledgers to build a pps state.
pp_objs = load_pps_from_ledger(
brokername,
acctid,
filter_by=reload_records,
)
if not pps:
log.warning(
f'No `pps.toml` positions could be loaded {brokername}:{acctid}'
)
# unmarshal/load ``pps.toml`` config entries into object form.
for fqsn, entry in pps.items():
bsuid = entry['bsuid']
# convert clears sub-tables (only in this form
# for toml re-presentation) back into a master table.
clears_list = entry['clears']
# index clears entries in "object" form by tid in a top
# level dict instead of a list (as is presented in our
# ``pps.toml``).
pp = pp_objs.get(bsuid)
if pp:
clears = pp.clears
else:
clears = {}
for clears_table in clears_list:
tid = clears_table.pop('tid')
clears[tid] = clears_table
size = entry['size']
# TODO: an audit system for existing pps entries?
# if not len(clears) == abs(size):
# pp_objs = load_pps_from_ledger(
# brokername,
# acctid,
# filter_by=reload_records,
# )
# reason = 'size <-> len(clears) mismatch'
# raise ValueError(
# '`pps.toml` entry is invalid:\n'
# f'{fqsn}\n'
# f'{pformat(entry)}'
# )
expiry = entry.get('expiry')
if expiry:
expiry = pendulum.parse(expiry)
pp_objs[bsuid] = Position(
Symbol.from_fqsn(fqsn, info={}),
size=size,
be_price=entry['be_price'],
expiry=expiry,
bsuid=entry['bsuid'],
# XXX: super critical, we need to be sure to include
# all pps.toml clears to avoid reusing clears that were
# already included in the current incremental update
# state, since today's records may have already been
# processed!
clears=clears,
)
return conf, pp_objs
def update_pps_conf(
brokername: str,
acctid: str,
trade_records: Optional[list[Transaction]] = None,
ledger_reload: Optional[dict[str, str]] = None,
) -> tuple[
dict[str, Position],
dict[str, Position],
]:
# this maps `.bsuid` values to positions
pp_objs: dict[Union[str, int], Position]
if trade_records and ledger_reload:
for r in trade_records:
ledger_reload[r.bsuid] = r.fqsn
conf, pp_objs = load_pps_from_toml(
brokername,
acctid,
reload_records=ledger_reload,
)
# update all pp objects from any (new) trade records which
# were passed in (aka incremental update case).
if trade_records:
pp_objs = update_pps(
trade_records,
pps=pp_objs,
)
pp_entries = {} # dict-serialize all active pps
# NOTE: newly closed position are also important to report/return
# since a consumer, like an order mode UI ;), might want to react
# based on the closure.
closed_pp_objs: dict[str, Position] = {}
for bsuid in list(pp_objs):
pp = pp_objs[bsuid]
# XXX: debug hook for size mismatches
# if bsuid == 447767096:
# breakpoint()
pp.minimize_clears()
if (
pp.size == 0
# drop time-expired positions (normally derivatives)
or (pp.expiry and pp.expiry < now())
):
# if expired the position is closed
pp.size = 0
# position is already closed aka "net zero"
closed_pp = pp_objs.pop(bsuid, None)
if closed_pp:
closed_pp_objs[bsuid] = closed_pp
else:
# serialize to pre-toml form
asdict = pp.to_pretoml()
if pp.expiry is None:
asdict.pop('expiry', None)
# TODO: we need to figure out how to have one top level
# listing venue here even when the backend isn't providing
# it via the trades ledger..
# drop symbol obj in serialized form
s = asdict.pop('symbol')
fqsn = s.front_fqsn()
log.info(f'Updating active pp: {fqsn}')
# XXX: ugh, it's cuz we push the section under
# the broker name.. maybe we need to rethink this?
brokerless_key = fqsn.removeprefix(f'{brokername}.')
pp_entries[brokerless_key] = asdict
conf[brokername][acctid] = pp_entries
# TODO: why tf haven't they already done this for inline tables smh..
enc = PpsEncoder(preserve=True)
# table_bs_type = type(toml.TomlDecoder().get_empty_inline_table())
enc.dump_funcs[toml.decoder.InlineTableDict] = enc.dump_inline_table
config.write(
conf,
'pps',
encoder=enc,
)
# deliver object form of all pps in table to caller
return pp_objs, closed_pp_objs
if __name__ == '__main__':
import sys
args = sys.argv
assert len(args) > 1, 'Specifiy account(s) from `brokers.toml`'
args = args[1:]
for acctid in args:
broker, name = acctid.split('.')
update_pps_conf(broker, name)

View File

@ -230,19 +230,18 @@ class GodWidget(QWidget):
# - we'll probably want per-instrument/provider state here?
# change the order config form over to the new chart
# XXX: since the pp config is a singleton widget we have to
# also switch it over to the new chart's interal-layout
# self.linkedsplits.chart.qframe.hbox.removeWidget(self.pp_pane)
chart = linkedsplits.chart
# chart is already in memory so just focus it
linkedsplits.show()
linkedsplits.focus()
linkedsplits.graphics_cycle()
await trio.sleep(0)
# XXX: since the pp config is a singleton widget we have to
# also switch it over to the new chart's interal-layout
# self.linkedsplits.chart.qframe.hbox.removeWidget(self.pp_pane)
chart = linkedsplits.chart
# resume feeds *after* rendering chart view asap
if chart:
chart.resume_all_feeds()
# TODO: we need a check to see if the chart
@ -761,18 +760,9 @@ class ChartPlotWidget(pg.PlotWidget):
self.pi_overlay: PlotItemOverlay = PlotItemOverlay(self.plotItem)
# indempotent startup flag for auto-yrange subsys
# to detect the "first time" y-domain graphics begin
# to be shown in the (main) graphics view.
self._on_screen: bool = False
def resume_all_feeds(self):
try:
for feed in self._feeds.values():
self.linked.godwidget._root_n.start_soon(feed.resume)
except RuntimeError:
# TODO: cancel the qtractor runtime here?
raise
def pause_all_feeds(self):
for feed in self._feeds.values():
@ -869,8 +859,7 @@ class ChartPlotWidget(pg.PlotWidget):
def default_view(
self,
bars_from_y: int = 616,
do_ds: bool = True,
bars_from_y: int = 3000,
) -> None:
'''
@ -931,11 +920,8 @@ class ChartPlotWidget(pg.PlotWidget):
max=end,
padding=0,
)
if do_ds:
self.view.maybe_downsample_graphics()
view._set_yrange()
try:
self.linked.graphics_cycle()
except IndexError:
@ -1269,6 +1255,7 @@ class ChartPlotWidget(pg.PlotWidget):
If ``bars_range`` is provided use that range.
'''
# print(f'Chart[{self.name}].maxmin()')
profiler = pg.debug.Profiler(
msg=f'`{str(self)}.maxmin(name={name})`: `{self.name}`',
disabled=not pg_profile_enabled(),
@ -1300,18 +1287,11 @@ class ChartPlotWidget(pg.PlotWidget):
key = round(lbar), round(rbar)
res = flow.maxmin(*key)
if (
res is None
):
log.warning(
if res == (None, None):
log.error(
f"{flow_key} no mxmn for bars_range => {key} !?"
)
res = 0, 0
if not self._on_screen:
self.default_view(do_ds=False)
self._on_screen = True
profiler(f'yrange mxmn: {key} -> {res}')
# print(f'{flow_key} yrange mxmn: {key} -> {res}')
return res

View File

@ -223,20 +223,14 @@ def ds_m4(
assert frames >= (xrange / uppx)
# call into ``numba``
(
nb,
x_out,
y_out,
ymn,
ymx,
) = _m4(
nb, i_win, y_out = _m4(
x,
y,
frames,
# TODO: see func below..
# x_out,
# i_win,
# y_out,
# first index in x data to start at
@ -249,11 +243,10 @@ def ds_m4(
# filter out any overshoot in the input allocation arrays by
# removing zero-ed tail entries which should start at a certain
# index.
x_out = x_out[x_out != 0]
y_out = y_out[:x_out.size]
i_win = i_win[i_win != 0]
y_out = y_out[:i_win.size]
# print(f'M4 output ymn, ymx: {ymn},{ymx}')
return nb, x_out, y_out, ymn, ymx
return nb, i_win, y_out
@jit(
@ -267,8 +260,8 @@ def _m4(
frames: int,
# TODO: using this approach, having the ``.zeros()`` alloc lines
# below in pure python, there were segs faults and alloc crashes..
# TODO: using this approach by having the ``.zeros()`` alloc lines
# below, in put python was causing segs faults and alloc crashes..
# we might need to see how it behaves with shm arrays and consider
# allocating them once at startup?
@ -281,22 +274,14 @@ def _m4(
x_start: int,
step: float,
) -> tuple[
int,
np.ndarray,
np.ndarray,
float,
float,
]:
'''
Implementation of the m4 algorithm in ``numba``:
http://www.vldb.org/pvldb/vol7/p797-jugel.pdf
) -> int:
# nbins = len(i_win)
# count = len(xs)
'''
# these are pre-allocated and mutated by ``numba``
# code in-place.
y_out = np.zeros((frames, 4), ys.dtype)
x_out = np.zeros(frames, xs.dtype)
i_win = np.zeros(frames, xs.dtype)
bincount = 0
x_left = x_start
@ -310,34 +295,24 @@ def _m4(
# set all bins in the left-most entry to the starting left-most x value
# (aka a row broadcast).
x_out[bincount] = x_left
i_win[bincount] = x_left
# set all y-values to the first value passed in.
y_out[bincount] = ys[0]
# full input y-data mx and mn
mx: float = -np.inf
mn: float = np.inf
# compute OHLC style max / min values per window sized x-frame.
for i in range(len(xs)):
x = xs[i]
y = ys[i]
if x < x_left + step: # the current window "step" is [bin, bin+1)
ymn = y_out[bincount, 1] = min(y, y_out[bincount, 1])
ymx = y_out[bincount, 2] = max(y, y_out[bincount, 2])
y_out[bincount, 1] = min(y, y_out[bincount, 1])
y_out[bincount, 2] = max(y, y_out[bincount, 2])
y_out[bincount, 3] = y
mx = max(mx, ymx)
mn = min(mn, ymn)
else:
# Find the next bin
while x >= x_left + step:
x_left += step
bincount += 1
x_out[bincount] = x_left
i_win[bincount] = x_left
y_out[bincount] = y
return bincount, x_out, y_out, mn, mx
return bincount, i_win, y_out

View File

@ -105,10 +105,6 @@ def chart_maxmin(
mn, mx = out
mx_vlm_in_view = 0
# TODO: we need to NOT call this to avoid a manual
# np.max/min trigger and especially on the vlm_chart
# flows which aren't shown.. like vlm?
if vlm_chart:
out = vlm_chart.maxmin()
if out:
@ -226,9 +222,33 @@ async def graphics_update_loop(
tick_margin = 3 * tick_size
chart.show()
# view = chart.view
last_quote = time.time()
i_last = ohlcv.index
# async def iter_drain_quotes():
# # NOTE: all code below this loop is expected to be synchronous
# # and thus draw instructions are not picked up jntil the next
# # wait / iteration.
# async for quotes in stream:
# while True:
# try:
# moar = stream.receive_nowait()
# except trio.WouldBlock:
# yield quotes
# break
# else:
# for sym, quote in moar.items():
# ticks_frame = quote.get('ticks')
# if ticks_frame:
# quotes[sym].setdefault(
# 'ticks', []).extend(ticks_frame)
# print('pulled extra')
# yield quotes
# async for quotes in iter_drain_quotes():
ds = linked.display_state = DisplayState(**{
'quotes': {},
'linked': linked,
@ -273,7 +293,6 @@ async def graphics_update_loop(
# chart isn't active/shown so skip render cycle and pause feed(s)
if chart.linked.isHidden():
print('skipping update')
chart.pause_all_feeds()
continue
@ -397,8 +416,10 @@ def graphics_update_cycle(
)
or trigger_all
):
# TODO: we should track and compute whether the last
# pixel in a curve should show new data based on uppx
# and then iff update curves and shift?
chart.increment_view(steps=i_diff)
# chart.increment_view(steps=i_diff + round(append_diff - uppx))
if vlm_chart:
vlm_chart.increment_view(steps=i_diff)
@ -456,6 +477,7 @@ def graphics_update_cycle(
):
chart.update_graphics_from_flow(
chart.name,
# do_append=uppx < update_uppx,
do_append=do_append,
)

View File

@ -21,6 +21,7 @@ Qt event proxying and processing using ``trio`` mem chans.
from contextlib import asynccontextmanager, AsyncExitStack
from typing import Callable
from pydantic import BaseModel
import trio
from PyQt5 import QtCore
from PyQt5.QtCore import QEvent, pyqtBoundSignal
@ -29,8 +30,6 @@ from PyQt5.QtWidgets import (
QGraphicsSceneMouseEvent as gs_mouse,
)
from ..data.types import Struct
MOUSE_EVENTS = {
gs_mouse.GraphicsSceneMousePress,
@ -44,10 +43,13 @@ MOUSE_EVENTS = {
# TODO: maybe consider some constrained ints down the road?
# https://pydantic-docs.helpmanual.io/usage/types/#constrained-types
class KeyboardMsg(Struct):
class KeyboardMsg(BaseModel):
'''Unpacked Qt keyboard event data.
'''
class Config:
arbitrary_types_allowed = True
event: QEvent
etype: int
key: int
@ -55,13 +57,16 @@ class KeyboardMsg(Struct):
txt: str
def to_tuple(self) -> tuple:
return tuple(self.to_dict().values())
return tuple(self.dict().values())
class MouseMsg(Struct):
class MouseMsg(BaseModel):
'''Unpacked Qt keyboard event data.
'''
class Config:
arbitrary_types_allowed = True
event: QEvent
etype: int
button: int

View File

@ -337,7 +337,6 @@ class Flow(msgspec.Struct): # , frozen=True):
name: str
plot: pg.PlotItem
graphics: Union[Curve, BarItems]
yrange: tuple[float, float] = None
# in some cases a flow may want to change its
# graphical "type" or, "form" when downsampling,
@ -387,11 +386,10 @@ class Flow(msgspec.Struct): # , frozen=True):
lbar: int,
rbar: int,
) -> Optional[tuple[float, float]]:
) -> tuple[float, float]:
'''
Compute the cached max and min y-range values for a given
x-range determined by ``lbar`` and ``rbar`` or ``None``
if no range can be determined (yet).
x-range determined by ``lbar`` and ``rbar``.
'''
rkey = (lbar, rbar)
@ -401,8 +399,9 @@ class Flow(msgspec.Struct): # , frozen=True):
shm = self.shm
if shm is None:
return None
mxmn = None
else: # new block for profiling?..
arr = shm.array
# build relative indexes into shm array
@ -415,11 +414,7 @@ class Flow(msgspec.Struct): # , frozen=True):
]
if not slice_view.size:
return None
elif self.yrange:
mxmn = self.yrange
# print(f'{self.name} M4 maxmin: {mxmn}')
mxmn = None
else:
if self.is_ohlc:
@ -432,10 +427,9 @@ class Flow(msgspec.Struct): # , frozen=True):
yhigh = np.max(view)
mxmn = ylow, yhigh
# print(f'{self.name} MANUAL maxmin: {mxmin}')
# cache result for input range
assert mxmn
if mxmn is not None:
# cache new mxmn result
self._mxmns[rkey] = mxmn
return mxmn
@ -634,13 +628,10 @@ class Flow(msgspec.Struct): # , frozen=True):
# source data so we clear our path data in prep
# to generate a new one from original source data.
new_sample_rate = True
showing_src_data = True
should_ds = False
should_redraw = True
showing_src_data = True
# reset yrange to be computed from source data
self.yrange = None
# MAIN RENDER LOGIC:
# - determine in view data and redraw on range change
# - determine downsampling ops if needed
@ -666,10 +657,6 @@ class Flow(msgspec.Struct): # , frozen=True):
**rkwargs,
)
if showing_src_data:
# print(f"{self.name} SHOWING SOURCE")
# reset yrange to be computed from source data
self.yrange = None
if not out:
log.warning(f'{self.name} failed to render!?')
@ -677,9 +664,6 @@ class Flow(msgspec.Struct): # , frozen=True):
path, data, reset = out
# if self.yrange:
# print(f'flow {self.name} yrange from m4: {self.yrange}')
# XXX: SUPER UGGGHHH... without this we get stale cache
# graphics that don't update until you downsampler again..
if reset:
@ -1074,7 +1058,6 @@ class Renderer(msgspec.Struct):
# xy-path data transform: convert source data to a format
# able to be passed to a `QPainterPath` rendering routine.
if not len(hist):
# XXX: this might be why the profiler only has exits?
return
x_out, y_out, connect = self.format_xy(
@ -1161,14 +1144,11 @@ class Renderer(msgspec.Struct):
elif should_ds and uppx > 1:
x_out, y_out, ymn, ymx = xy_downsample(
x_out, y_out = xy_downsample(
x_out,
y_out,
uppx,
)
self.flow.yrange = ymn, ymx
# print(f'{self.flow.name} post ds: ymn, ymx: {ymn},{ymx}')
reset = True
profiler(f'FULL PATH downsample redraw={should_ds}')
self._in_ds = True

View File

@ -619,7 +619,7 @@ class FillStatusBar(QProgressBar):
# color: #19232D;
# width: 10px;
self.setRange(0, int(slots))
self.setRange(0, slots)
self.setValue(value)

View File

@ -639,25 +639,20 @@ async def open_vlm_displays(
names: list[str],
) -> tuple[float, float]:
'''
Flows "group" maxmin loop; assumes all named flows
are in the same co-domain and thus can be sorted
as one set.
Iterates all the named flows and calls the chart
api to find their range values and return.
TODO: really we should probably have a more built-in API
for this?
'''
mx = 0
for name in names:
ymn, ymx = chart.maxmin(name=name)
mx = max(mx, ymx)
mxmn = chart.maxmin(name=name)
if mxmn:
ymax = mxmn[1]
if ymax > mx:
mx = ymax
return 0, mx
chart.view.maxmin = partial(multi_maxmin, names=['volume'])
# TODO: fix the x-axis label issue where if you put
# the axis on the left it's totally not lined up...
# show volume units value on LHS (for dinkus)
@ -781,7 +776,6 @@ async def open_vlm_displays(
) -> None:
for name in names:
if 'dark' in name:
color = dark_vlm_color
elif 'rate' in name:

View File

@ -923,7 +923,6 @@ class ChartView(ViewBox):
# XXX: super important to be aware of this.
# or not flow.graphics.isVisible()
):
# print(f'skipping {flow.name}')
continue
# pass in no array which will read and render from the last

View File

@ -22,9 +22,12 @@ from __future__ import annotations
from typing import (
Optional, Generic,
TypeVar, Callable,
Literal,
)
import enum
import sys
# from pydantic import BaseModel, validator
from pydantic import BaseModel, validator
from pydantic.generics import GenericModel
from PyQt5.QtWidgets import (
QWidget,
@ -35,7 +38,6 @@ from ._forms import (
# FontScaledDelegate,
Edit,
)
from ..data.types import Struct
DataType = TypeVar('DataType')
@ -60,7 +62,7 @@ class Selection(Field[DataType], Generic[DataType]):
options: dict[str, DataType]
# value: DataType = None
# @validator('value') # , always=True)
@validator('value') # , always=True)
def set_value_first(
cls,
@ -98,7 +100,7 @@ class Edit(Field[DataType], Generic[DataType]):
widget_factory = Edit
class AllocatorPane(Struct):
class AllocatorPane(BaseModel):
account = Selection[str](
options=dict.fromkeys(

View File

@ -49,17 +49,12 @@ def xy_downsample(
x_spacer: float = 0.5,
) -> tuple[
np.ndarray,
np.ndarray,
float,
float,
]:
) -> tuple[np.ndarray, np.ndarray]:
# downsample whenever more then 1 pixels per datum can be shown.
# always refresh data bounds until we get diffing
# working properly, see above..
bins, x, y, ymn, ymx = ds_m4(
bins, x, y = ds_m4(
x,
y,
uppx,
@ -72,7 +67,7 @@ def xy_downsample(
)).flatten()
y = y.flatten()
return x, y, ymn, ymx
return x, y
@njit(

View File

@ -19,7 +19,6 @@ Position info and display
"""
from __future__ import annotations
from copy import copy
from dataclasses import dataclass
from functools import partial
from math import floor, copysign
@ -106,8 +105,8 @@ async def update_pnl_from_feed(
# compute and display pnl status
order_mode.pane.pnl_label.format(
pnl=copysign(1, size) * pnl(
# live.be_price,
order_mode.current_pp.live_pp.be_price,
# live.avg_price,
order_mode.current_pp.live_pp.avg_price,
tick['price'],
),
)
@ -357,7 +356,7 @@ class SettingsPane:
# last historical close price
last = feed.shm.array[-1][['close']][0]
pnl_value = copysign(1, size) * pnl(
tracker.live_pp.be_price,
tracker.live_pp.avg_price,
last,
)
@ -477,7 +476,7 @@ class PositionTracker:
self.alloc = alloc
self.startup_pp = startup_pp
self.live_pp = copy(startup_pp)
self.live_pp = startup_pp.copy()
view = chart.getViewBox()
@ -557,7 +556,7 @@ class PositionTracker:
pp = position or self.live_pp
self.update_line(
pp.be_price,
pp.avg_price,
pp.size,
self.chart.linked.symbol.lot_size_digits,
)
@ -571,7 +570,7 @@ class PositionTracker:
self.hide()
else:
self._level_marker.level = pp.be_price
self._level_marker.level = pp.avg_price
# these updates are critical to avoid lag on view/scene changes
self._level_marker.update() # trigger paint

View File

@ -27,20 +27,20 @@ import time
from typing import Optional, Dict, Callable, Any
import uuid
from pydantic import BaseModel
import tractor
import trio
from PyQt5.QtCore import Qt
from .. import config
from ..pp import Position
from ..clearing._client import open_ems, OrderBook
from ..clearing._allocate import (
mk_allocator,
Position,
)
from ._style import _font
from ..data._source import Symbol
from ..data.feed import Feed
from ..data.types import Struct
from ..log import get_logger
from ._editors import LineEditor, ArrowEditor
from ._lines import order_line, LevelLine
@ -58,9 +58,8 @@ from ._forms import open_form_input_handling
log = get_logger(__name__)
class OrderDialog(Struct):
'''
Trade dialogue meta-data describing the lifetime
class OrderDialog(BaseModel):
'''Trade dialogue meta-data describing the lifetime
of an order submission to ``emsd`` from a chart.
'''
@ -73,6 +72,10 @@ class OrderDialog(Struct):
msgs: dict[str, dict] = {}
fills: Dict[str, Any] = {}
class Config:
arbitrary_types_allowed = True
underscore_attrs_are_private = False
def on_level_change_update_next_order_info(
@ -84,8 +87,7 @@ def on_level_change_update_next_order_info(
tracker: PositionTracker,
) -> None:
'''
A callback applied for each level change to the line
'''A callback applied for each level change to the line
which will recompute the order size based on allocator
settings. this is assigned inside
``OrderMode.line_from_order()``
@ -264,8 +266,7 @@ class OrderMode:
self,
) -> OrderDialog:
'''
Send execution order to EMS return a level line to
'''Send execution order to EMS return a level line to
represent the order on a chart.
'''
@ -274,9 +275,13 @@ class OrderMode:
oid = str(uuid.uuid4())
# format order data for ems
order = staged.copy()
order.oid = oid
order.symbol = symbol.front_fqsn()
fqsn = symbol.front_fqsn()
order = staged.copy(
update={
'symbol': fqsn,
'oid': oid,
}
)
line = self.line_from_order(
order,
@ -572,9 +577,9 @@ async def open_order_mode(
providers=symbol.brokers
)
# XXX: ``brokerd`` delivers a set of account names that it
# allows use of but the user also can define the accounts they'd
# like to use, in order, in their `brokers.toml` file.
# XXX: ``brokerd`` delivers a set of account names that it allows
# use of but the user also can define the accounts they'd like
# to use, in order, in their `brokers.toml` file.
accounts = {}
for name in brokerd_accounts:
# ensure name is in ``brokers.toml``
@ -587,21 +592,10 @@ async def open_order_mode(
iter(accounts.keys())
) if accounts else 'paper'
# Pack position messages by account, should only be one-to-one.
# NOTE: requires the backend exactly specifies
# the expected symbol key in its positions msg.
pps_by_account = {}
for (broker, acctid), msgs in position_msgs.items():
for msg in msgs:
sym = msg['symbol']
if (
sym == symkey or
# mega-UGH, i think we need to fix the FQSN stuff sooner
# then later..
sym == symkey.removesuffix(f'.{broker}')
):
pps_by_account[acctid] = msg
pp_msgs = position_msgs.get(symkey, ())
pps_by_account = {msg['account']: msg for msg in pp_msgs}
# update pp trackers with data relayed from ``brokerd``.
for account_name in accounts:
@ -610,10 +604,7 @@ async def open_order_mode(
startup_pp = Position(
symbol=symbol,
size=0,
be_price=0,
# XXX: BLEH, do we care about this on the client side?
bsuid=symbol,
avg_price=0,
)
msg = pps_by_account.get(account_name)
if msg:
@ -851,9 +842,7 @@ async def process_trades_and_update_ui(
# delete level line from view
mode.on_cancel(oid)
broker_msg = msg['brokerd_msg']
log.warning(
f'Order {oid} failed with:\n{pformat(broker_msg)}'
)
log.warning(f'Order {oid} failed with:\n{pformat(broker_msg)}')
elif resp in (
'dark_triggered'

View File

@ -41,17 +41,17 @@ setup(
},
install_requires=[
'toml',
'tomli', # fastest pure py reader
'click',
'colorlog',
'attrs',
'pygments',
'colorama', # numba traceback coloring
'msgspec', # performant IPC messaging and structs
'pydantic', # structured data
# async
'trio',
'trio-websocket',
'msgspec', # performant IPC messaging
'async_generator',
# from github currently (see requirements.txt)