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Author SHA1 Message Date
Tyler Goodlet ac0f43dc98 Go Python 3.10+ in anticipation of upcoming feature PRs 2022-06-28 10:02:09 -04:00
goodboy 3977f1cc7e
Merge pull request #341 from pikers/contain_mkts
Contain mkts
2022-06-26 13:49:23 -04:00
Tyler Goodlet e45cb9d08a Always cancel container on teardown 2022-06-26 13:36:29 -04:00
Tyler Goodlet 27c523ca74 Speedup: only load a "views worth" of datums on first query 2022-06-23 15:21:09 -04:00
Tyler Goodlet b8b76a32a6 Harden container cancel-and-wait supervisor loop
This should hopefully make teardown more reliable and includes better
logic to fail over to a hard kill path after a 3 second timeout waiting
for the instance to complete using the `docker-py` wait API. Also
generalize the supervisor teardown loop by allowing the container config
endpoint to return 2 msgs to expect:
- a startup message that can be read from the container's internal
  process logging that indicates it is fully up and ready.
- a teardown msg that can be polled for that indicates the container has
  gracefully terminated after a cancellation request which is passed to
  our container wrappers `.cancel()` method.

Make the marketstore config endpoint return the 2 messages we previously
had hard coded and use this new api.
2022-06-23 10:23:14 -04:00
Tyler Goodlet dcee0ddd55 Move/expect all marketstore configs under a `<configdir>/piker/marketstore` subdir 2022-06-23 09:48:32 -04:00
goodboy 67eab85f06
Merge pull request #340 from pikers/slic_fix_v2
Slice fix v2
2022-06-22 19:55:39 -04:00
Tyler Goodlet afc95b8592 Facepalm, get the first x value not the array.. 2022-06-22 19:43:33 -04:00
Tyler Goodlet 14c98d82ee Only warn once when realtime quotes time out 2022-06-22 19:43:23 -04:00
goodboy b87aa30031
Merge pull request #339 from pikers/uppx_slice_fix
Uppx slice fix
2022-06-16 16:20:00 -04:00
Tyler Goodlet 958f53d8e9 Lower re-syncing log msgs to debug level 2022-06-16 15:50:21 -04:00
Tyler Goodlet ba43b54175 Handle edge case for extreme zoom out 2022-06-16 15:50:05 -04:00
Tyler Goodlet de970755d7 Flip back to original daemon port 2022-06-16 15:50:05 -04:00
goodboy 7ddebf6773
Merge pull request #338 from pikers/update_last_datums_in_view
Fix: update last datums in view by `uppx` indexing
2022-06-10 09:38:26 -04:00
Tyler Goodlet 8eb4a427da Revert uppx flooring, causes shift issues 2022-06-10 07:03:21 -04:00
Tyler Goodlet da5dea9f99 Drop cache reset from `Curve.draw_last_datum()` 2022-06-10 07:03:05 -04:00
Tyler Goodlet 3074773662 Fix 'last datum line is uppx's worth of data' rendering
This was introduced in #302 but after thorough testing was clear to be
not working XD. Adjust the display loop to update the last graphics
segment on both the OHLC and vlm charts (as well as all deriving fsp
flows) whenever the uppx >= 1 and there is no current path append
taking place (since more datums are needed to span an x-pixel in view).

Summary of tweaks:
- move vlm chart update code to be at the end of the cycle routine and
  have that block include the tests for a "interpolated last datum in
  view" line.
- make `do_append: bool` compare with a floor of the uppx value (i.e.
  appends should happen when we're just fractionally over a pixel of
  x units).
- never update the "volume" chart.
2022-06-09 17:57:34 -04:00
Tyler Goodlet 4099b53ea2 Add `Flow.ds_graphics': a downsample curve ref
Allows for optionally updating a "downsampled" graphics type which is
currently necessary in the `BarItems` -> `FlattenedOHLC` curve switching
case; we don't want to be needlessly redrawing the `Flow.graphics`
object (which will be an OHLC curve) when in flattened curve mode.
Further add a `only_last_uppx: bool` flag to `.draw_last()` to allow
forcing a "last uppx's worth of data max/min" style interpolating line
as needed.
2022-06-09 17:57:34 -04:00
goodboy 633fa7cc3a
Merge pull request #335 from pikers/ib_subpkg
`pikers.broker.ib` subpackage
2022-06-07 11:41:11 -04:00
Tyler Goodlet 1345b250bc Import missing `_accounts2clients` table 2022-06-07 09:48:51 -04:00
goodboy e9f0ea3daa
Merge pull request #327 from pikers/flexxin
Flexxin: `ib` trade reports parsing basics
2022-06-07 09:42:54 -04:00
Tyler Goodlet 569674517f Hack client check for `ib` using flag 2022-06-06 19:33:12 -04:00
Tyler Goodlet bf7397f031 Rename `.client` -> `.api` 2022-06-06 19:33:12 -04:00
Tyler Goodlet 85c2f6e79f Factor trades endpoint into `.ib.broker.py` 2022-06-06 19:33:12 -04:00
Tyler Goodlet 1c1661b783 Factor all data feed endpoints into `.ib.feed.py` 2022-06-06 19:33:12 -04:00
Tyler Goodlet 99eabe34c9 Convert `ib` backend into sub-package
The single-file module was getting way out of hand size-wise with the
new flex report parsing stuff so this starts the process of breaking
things up into smaller modules oriented around trade, data, and ledger
related endpoints.

Add support for backends to declare sub-modules to enable in
a `__enable_modules__: list[str]` module var which is parsed by the
daemon spawning code passed to `tractor`'s `enable_modules: list[str]`
input.
2022-06-06 19:33:12 -04:00
15 changed files with 3151 additions and 2867 deletions

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@ -35,7 +35,7 @@ log = get_logger(__name__)
_root_dname = 'pikerd' _root_dname = 'pikerd'
_registry_addr = ('127.0.0.1', 1616) _registry_addr = ('127.0.0.1', 6116)
_tractor_kwargs: dict[str, Any] = { _tractor_kwargs: dict[str, Any] = {
# use a different registry addr then tractor's default # use a different registry addr then tractor's default
'arbiter_addr': _registry_addr 'arbiter_addr': _registry_addr
@ -426,9 +426,19 @@ async def spawn_brokerd(
# ask `pikerd` to spawn a new sub-actor and manage it under its # ask `pikerd` to spawn a new sub-actor and manage it under its
# actor nursery # actor nursery
modpath = brokermod.__name__
broker_enable = [modpath]
for submodname in getattr(
brokermod,
'__enable_modules__',
[],
):
subpath = f'{modpath}.{submodname}'
broker_enable.append(subpath)
portal = await _services.actor_n.start_actor( portal = await _services.actor_n.start_actor(
dname, dname,
enable_modules=_data_mods + [brokermod.__name__], enable_modules=_data_mods + broker_enable,
loglevel=loglevel, loglevel=loglevel,
debug_mode=_services.debug_mode, debug_mode=_services.debug_mode,
**tractor_kwargs **tractor_kwargs

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@ -0,0 +1,67 @@
# 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/>.
"""
Interactive Brokers API backend.
Sub-modules within break into the core functionalities:
- ``broker.py`` part for orders / trading endpoints
- ``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,
)
from .feed import (
open_history_client,
open_symbol_search,
stream_quotes,
)
from .broker import trades_dialogue
__all__ = [
'get_client',
'trades_dialogue',
'open_history_client',
'open_symbol_search',
'stream_quotes',
]
# tractor RPC enable arg
__enable_modules__: list[str] = [
'api',
'feed',
'broker',
]
# passed to ``tractor.ActorNursery.start_actor()``
_spawn_kwargs = {
'infect_asyncio': True,
}
# annotation to let backend agnostic code
# know if ``brokerd`` should be spawned with
# ``tractor``'s aio mode.
_infect_asyncio: bool = True

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@ -0,0 +1,590 @@
# 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 and trades endpoints for use with ``piker``'s EMS.
"""
from __future__ import annotations
from dataclasses import asdict
from functools import partial
from pprint import pformat
import time
from typing import (
Any,
Optional,
AsyncIterator,
)
import trio
from trio_typing import TaskStatus
import tractor
from ib_insync.contract import (
Contract,
Option,
)
from ib_insync.order import (
Trade,
OrderStatus,
)
from ib_insync.objects import (
Fill,
Execution,
)
from ib_insync.objects import Position
from piker import config
from piker.log import get_console_log
from piker.clearing._messages import (
BrokerdOrder,
BrokerdOrderAck,
BrokerdStatus,
BrokerdPosition,
BrokerdCancel,
BrokerdFill,
BrokerdError,
)
from .api import (
_accounts2clients,
_adhoc_futes_set,
log,
get_config,
open_client_proxies,
Client,
)
def pack_position(
pos: Position
) -> dict[str, Any]:
con = pos.contract
if isinstance(con, Option):
# TODO: option symbol parsing and sane display:
symbol = con.localSymbol.replace(' ', '')
else:
# TODO: lookup fqsn even for derivs.
symbol = con.symbol.lower()
exch = (con.primaryExchange or con.exchange).lower()
symkey = '.'.join((symbol, exch))
if not 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:
symkey += f'.{expiry}'
# TODO: options contracts into a sane format..
return BrokerdPosition(
broker='ib',
account=pos.account,
symbol=symkey,
currency=con.currency,
size=float(pos.position),
avg_price=float(pos.avgCost) / float(con.multiplier or 1.0),
)
async def handle_order_requests(
ems_order_stream: tractor.MsgStream,
accounts_def: dict[str, str],
) -> None:
request_msg: dict
async for request_msg in ems_order_stream:
log.info(f'Received order request {request_msg}')
action = request_msg['action']
account = request_msg['account']
acct_number = accounts_def.get(account)
if not acct_number:
log.error(
f'An IB account number for name {account} is not found?\n'
'Make sure you have all TWS and GW instances running.'
)
await ems_order_stream.send(BrokerdError(
oid=request_msg['oid'],
symbol=request_msg['symbol'],
reason=f'No account found: `{account}` ?',
).dict())
continue
client = _accounts2clients.get(account)
if not client:
log.error(
f'An IB client for account name {account} is not found.\n'
'Make sure you have all TWS and GW instances running.'
)
await ems_order_stream.send(BrokerdError(
oid=request_msg['oid'],
symbol=request_msg['symbol'],
reason=f'No api client loaded for account: `{account}` ?',
).dict())
continue
if action in {'buy', 'sell'}:
# validate
order = BrokerdOrder(**request_msg)
# call our client api to submit the order
reqid = client.submit_limit(
oid=order.oid,
symbol=order.symbol,
price=order.price,
action=order.action,
size=order.size,
account=acct_number,
# XXX: by default 0 tells ``ib_insync`` methods that
# there is no existing order so ask the client to create
# a new one (which it seems to do by allocating an int
# counter - collision prone..)
reqid=order.reqid,
)
if reqid is None:
await ems_order_stream.send(BrokerdError(
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(
BrokerdOrderAck(
# ems order request id
oid=order.oid,
# broker specific request id
reqid=reqid,
time_ns=time.time_ns(),
account=account,
).dict()
)
elif action == 'cancel':
msg = BrokerdCancel(**request_msg)
client.submit_cancel(reqid=msg.reqid)
else:
log.error(f'Unknown order command: {request_msg}')
async def recv_trade_updates(
client: Client,
to_trio: trio.abc.SendChannel,
) -> None:
"""Stream a ticker using the std L1 api.
"""
client.inline_errors(to_trio)
# sync with trio task
to_trio.send_nowait(None)
def push_tradesies(eventkit_obj, obj, fill=None):
"""Push events to trio task.
"""
if fill is not None:
# execution details event
item = ('fill', (obj, fill))
elif eventkit_obj.name() == 'positionEvent':
item = ('position', obj)
else:
item = ('status', obj)
log.info(f'eventkit event ->\n{pformat(item)}')
try:
to_trio.send_nowait(item)
except trio.BrokenResourceError:
log.exception(f'Disconnected from {eventkit_obj} updates')
eventkit_obj.disconnect(push_tradesies)
# hook up to the weird eventkit object - event stream api
for ev_name in [
'orderStatusEvent', # all order 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)
# XXX: not sure yet if we need these
# 'updatePortfolioEvent',
# 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',
# 'orderModifyEvent',
# 'cancelOrderEvent',
# 'openOrderEvent',
]:
eventkit_obj = getattr(client.ib, ev_name)
handler = partial(push_tradesies, eventkit_obj)
eventkit_obj.connect(handler)
# let the engine run and stream
await client.ib.disconnectedEvent
@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)
accounts_def = config.load_accounts(['ib'])
global _client_cache
# deliver positions to subscriber before anything else
all_positions = []
accounts = set()
clients: list[tuple[Client, trio.MemoryReceiveChannel]] = []
async with (
trio.open_nursery() as nurse,
open_client_proxies() as (proxies, aioclients),
):
for account, proxy in proxies.items():
client = aioclients[account]
async def open_stream(
task_status: TaskStatus[
trio.abc.ReceiveChannel
] = trio.TASK_STATUS_IGNORED,
):
# each api client has a unique event stream
async with tractor.to_asyncio.open_channel_from(
recv_trade_updates,
client=client,
) as (first, trade_event_stream):
task_status.started(trade_event_stream)
await trio.sleep_forever()
trade_event_stream = await nurse.start(open_stream)
clients.append((client, trade_event_stream))
assert account in accounts_def
accounts.add(account)
for client in aioclients.values():
for pos in client.positions():
msg = pack_position(pos)
msg.account = accounts_def.inverse[msg.account]
assert msg.account in accounts, (
f'Position for unknown account: {msg.account}')
all_positions.append(msg.dict())
trades: list[dict] = []
for proxy in proxies.values():
trades.append(await proxy.trades())
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
# also save locally.
await ctx.started((
all_positions,
tuple(name for name in accounts_def if name in accounts),
))
async with (
ctx.open_stream() as ems_stream,
trio.open_nursery() as n,
):
# start order request handler **before** local trades event loop
n.start_soon(handle_order_requests, ems_stream, accounts_def)
# allocate event relay tasks for each client connection
for client, stream in clients:
n.start_soon(
deliver_trade_events,
stream,
ems_stream,
accounts_def
)
# block until cancelled
await trio.sleep_forever()
async def deliver_trade_events(
trade_event_stream: trio.MemoryReceiveChannel,
ems_stream: tractor.MsgStream,
accounts_def: dict[str, str],
) -> None:
'''Format and relay all trade events for a given client to the EMS.
'''
action_map = {'BOT': 'buy', 'SLD': 'sell'}
# 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)}')
# 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
# short list:
# - PendingSubmit
# - PendingCancel
# - PreSubmitted (simulated orders)
# - ApiCancelled (cancelled by client before submission
# to routing)
# - Cancelled
# - Filled
# - Inactive (reject or cancelled but not by trader)
# XXX: here's some other sucky cases from the api
# - short-sale but securities haven't been located, in this
# case we should probably keep the order in some kind of
# weird state or cancel it outright?
# status='PendingSubmit', message=''),
# status='Cancelled', message='Error 404,
# reqId 1550: Order held while securities are located.'),
# status='PreSubmitted', message='')],
if event_name == 'status':
# XXX: begin normalization of nonsense ib_insync internal
# object-state tracking representations...
# unwrap needed data from ib_insync internal types
trade: Trade = item
status: OrderStatus = trade.orderStatus
# skip duplicate filled updates - we get the deats
# from the execution details event
msg = BrokerdStatus(
reqid=trade.order.orderId,
time_ns=time.time_ns(), # cuz why not
account=accounts_def.inverse[trade.order.account],
# everyone doin camel case..
status=status.status.lower(), # force lower case
filled=status.filled,
reason=status.whyHeld,
# this seems to not be necessarily up to date in the
# execDetails event.. so we have to send it here I guess?
remaining=status.remaining,
broker_details={'name': 'ib'},
)
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
# complexity and over-engineering :eyeroll:.
# we may just end up dropping these events (or
# translating them to ``Status`` msgs) if we can
# show the equivalent status events are no more latent.
# unpack ib_insync types
# pep-0526 style:
# https://www.python.org/dev/peps/pep-0526/#global-and-local-variable-annotations
trade: Trade
fill: Fill
trade, fill = item
execu: Execution = fill.execution
# TODO: normalize out commissions details?
details = {
'contract': asdict(fill.contract),
'execution': asdict(fill.execution),
'commissions': asdict(fill.commissionReport),
'broker_time': execu.time, # supposedly server fill time
'name': 'ib',
}
msg = BrokerdFill(
# should match the value returned from `.submit_limit()`
reqid=execu.orderId,
time_ns=time.time_ns(), # cuz why not
action=action_map[execu.side],
size=execu.shares,
price=execu.price,
broker_details=details,
# XXX: required by order mode currently
broker_time=details['broker_time'],
)
elif event_name == 'error':
err: dict = item
# f$#$% gawd dammit insync..
con = err['contract']
if isinstance(con, Contract):
err['contract'] = asdict(con)
if err['reqid'] == -1:
log.error(f'TWS external order error:\n{pformat(err)}')
# TODO: what schema for this msg if we're going to make it
# portable across all backends?
# msg = BrokerdError(**err)
continue
elif event_name == 'position':
msg = pack_position(item)
msg.account = accounts_def.inverse[msg.account]
elif event_name == 'event':
# it's either a general system status event or an external
# trade event?
log.info(f"TWS system status: \n{pformat(item)}")
# TODO: support this again but needs parsing at the callback
# level...
# reqid = item.get('reqid', 0)
# if getattr(msg, 'reqid', 0) < -1:
# log.info(f"TWS triggered trade\n{pformat(msg.dict())}")
continue
# msg.reqid = 'tws-' + str(-1 * reqid)
# mark msg as from "external system"
# TODO: probably something better then this.. and start
# considering multiplayer/group trades tracking
# msg.broker_details['external_src'] = 'tws'
# 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, str]:
from pprint import pprint
from ib_insync import flexreport, util
conf = get_config()
if not path:
# load ``brokers.toml`` and try to get the flex
# token and query id that must be previously defined
# by the user.
token = conf.get('flex_token')
if not token:
raise ValueError(
'You must specify a ``flex_token`` field in your'
'`brokers.toml` in order load your trade log, see our'
'intructions for how to set this up here:\n'
'PUT LINK HERE!'
)
qid = conf['flex_trades_query_id']
# TODO: hack this into our logging
# system like we do with the API client..
util.logToConsole()
# TODO: rewrite the query part of this with async..httpx?
report = flexreport.FlexReport(
token=token,
queryId=qid,
)
else:
# XXX: another project we could potentially look at,
# https://pypi.org/project/ibflex/
report = flexreport.FlexReport(path=path)
trade_entries = report.extract('Trade')
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
}
ln = len(trades)
log.info(f'Loaded {ln} trades from flex query')
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
section = {'ib': trades_by_account}
pprint(section)
# 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__':
load_flex_trades()

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@ -0,0 +1,938 @@
# 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/>.
"""
Data feed endpoints pre-wrapped and ready for use with ``tractor``/``trio``.
"""
from __future__ import annotations
import asyncio
from contextlib import asynccontextmanager as acm
from dataclasses import asdict
from datetime import datetime
from math import isnan
import time
from typing import (
Callable,
Optional,
Awaitable,
)
from async_generator import aclosing
from fuzzywuzzy import process as fuzzy
import numpy as np
import pendulum
import tractor
import trio
from trio_typing import TaskStatus
from piker.data._sharedmem import ShmArray
from .._util import SymbolNotFound, NoData
from .api import (
_adhoc_futes_set,
log,
load_aio_clients,
ibis,
MethodProxy,
open_client_proxies,
get_preferred_data_client,
Ticker,
RequestError,
Contract,
)
# https://interactivebrokers.github.io/tws-api/tick_types.html
tick_types = {
77: 'trade',
# a "utrade" aka an off exchange "unreportable" (dark) vlm:
# https://interactivebrokers.github.io/tws-api/tick_types.html#rt_volume
48: 'dark_trade',
# standard L1 ticks
0: 'bsize',
1: 'bid',
2: 'ask',
3: 'asize',
4: 'last',
5: 'size',
8: 'volume',
# ``ib_insync`` already packs these into
# quotes under the following fields.
# 55: 'trades_per_min', # `'tradeRate'`
# 56: 'vlm_per_min', # `'volumeRate'`
# 89: 'shortable', # `'shortableShares'`
}
@acm
async def open_data_client() -> MethodProxy:
'''
Open the first found preferred "data client" as defined in the
user's ``brokers.toml`` in the ``ib.prefer_data_account`` variable
and deliver that client wrapped in a ``MethodProxy``.
'''
async with (
open_client_proxies() as (proxies, clients),
):
account_name, client = get_preferred_data_client(clients)
proxy = proxies.get(f'ib.{account_name}')
if not proxy:
raise ValueError(
f'No preferred data client could be found for {account_name}!'
)
yield proxy
@acm
async def open_history_client(
symbol: str,
) -> tuple[Callable, int]:
'''
History retreival endpoint - delivers a historical frame callble
that takes in ``pendulum.datetime`` and returns ``numpy`` arrays.
'''
async with open_data_client() as proxy:
async def get_hist(
end_dt: Optional[datetime] = None,
start_dt: Optional[datetime] = None,
) -> tuple[np.ndarray, str]:
out, fails = await get_bars(proxy, symbol, end_dt=end_dt)
# TODO: add logic here to handle tradable hours and only grab
# valid bars in the range
if out is None:
# could be trying to retreive bars over weekend
log.error(f"Can't grab bars starting at {end_dt}!?!?")
raise NoData(
f'{end_dt}',
frame_size=2000,
)
bars, bars_array, first_dt, last_dt = out
# volume cleaning since there's -ve entries,
# wood luv to know what crookery that is..
vlm = bars_array['volume']
vlm[vlm < 0] = 0
return bars_array, first_dt, last_dt
# TODO: it seems like we can do async queries for ohlc
# but getting the order right still isn't working and I'm not
# quite sure why.. needs some tinkering and probably
# a lookthrough of the ``ib_insync`` machinery, for eg. maybe
# we have to do the batch queries on the `asyncio` side?
yield get_hist, {'erlangs': 1, 'rate': 6}
_pacing: str = (
'Historical Market Data Service error '
'message:Historical data request pacing violation'
)
async def get_bars(
proxy: MethodProxy,
fqsn: str,
# blank to start which tells ib to look up the latest datum
end_dt: str = '',
) -> (dict, np.ndarray):
'''
Retrieve historical data from a ``trio``-side task using
a ``MethoProxy``.
'''
fails = 0
bars: Optional[list] = None
first_dt: datetime = None
last_dt: datetime = None
if end_dt:
last_dt = pendulum.from_timestamp(end_dt.timestamp())
for _ in range(10):
try:
out = await proxy.bars(
fqsn=fqsn,
end_dt=end_dt,
)
if out:
bars, bars_array = out
else:
await tractor.breakpoint()
if bars_array is None:
raise SymbolNotFound(fqsn)
first_dt = pendulum.from_timestamp(
bars[0].date.timestamp())
last_dt = pendulum.from_timestamp(
bars[-1].date.timestamp())
time = bars_array['time']
assert time[-1] == last_dt.timestamp()
assert time[0] == first_dt.timestamp()
log.info(
f'{len(bars)} bars retreived for {first_dt} -> {last_dt}'
)
return (bars, bars_array, first_dt, last_dt), fails
except RequestError as err:
msg = err.message
# why do we always need to rebind this?
# _err = err
if 'No market data permissions for' in msg:
# TODO: signalling for no permissions searches
raise NoData(
f'Symbol: {fqsn}',
)
elif (
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
# index since the upper layer may be doing so
# concurrently and we don't want to be delivering frames
# that weren't asked for.
log.warning(
f'NO DATA found ending @ {end_dt}\n'
)
# try to decrement start point and look further back
# end_dt = last_dt = last_dt.subtract(seconds=2000)
raise NoData(
f'Symbol: {fqsn}',
frame_size=2000,
)
elif _pacing in msg:
log.warning(
'History throttle rate reached!\n'
'Resetting farms with `ctrl-alt-f` hack\n'
)
# TODO: we might have to put a task lock around this
# method..
hist_ev = proxy.status_event(
'HMDS data farm connection is OK:ushmds'
)
# XXX: other event messages we might want to try and
# wait for but i wasn't able to get any of this
# reliable..
# reconnect_start = proxy.status_event(
# 'Market data farm is connecting:usfuture'
# )
# live_ev = proxy.status_event(
# 'Market data farm connection is OK:usfuture'
# )
# try to wait on the reset event(s) to arrive, a timeout
# will trigger a retry up to 6 times (for now).
tries: int = 2
timeout: float = 10
# try 3 time with a data reset then fail over to
# a connection reset.
for i in range(1, tries):
log.warning('Sending DATA RESET request')
await data_reset_hack(reset_type='data')
with trio.move_on_after(timeout) as cs:
for name, ev in [
# TODO: not sure if waiting on other events
# is all that useful here or not. in theory
# you could wait on one of the ones above
# first to verify the reset request was
# sent?
('history', hist_ev),
]:
await ev.wait()
log.info(f"{name} DATA RESET")
break
if cs.cancelled_caught:
fails += 1
log.warning(
f'Data reset {name} timeout, retrying {i}.'
)
continue
else:
log.warning('Sending CONNECTION RESET')
await data_reset_hack(reset_type='connection')
with trio.move_on_after(timeout) as cs:
for name, ev in [
# TODO: not sure if waiting on other events
# is all that useful here or not. in theory
# you could wait on one of the ones above
# first to verify the reset request was
# sent?
('history', hist_ev),
]:
await ev.wait()
log.info(f"{name} DATA RESET")
if cs.cancelled_caught:
fails += 1
log.warning('Data CONNECTION RESET timeout!?')
else:
raise
return None, None
# else: # throttle wasn't fixed so error out immediately
# raise _err
async def backfill_bars(
fqsn: str,
shm: ShmArray, # type: ignore # noqa
# TODO: we want to avoid overrunning the underlying shm array buffer
# and we should probably calc the number of calls to make depending
# on that until we have the `marketstore` daemon in place in which
# case the shm size will be driven by user config and available sys
# memory.
count: int = 16,
task_status: TaskStatus[trio.CancelScope] = trio.TASK_STATUS_IGNORED,
) -> None:
'''
Fill historical bars into shared mem / storage afap.
TODO: avoid pacing constraints:
https://github.com/pikers/piker/issues/128
'''
# last_dt1 = None
last_dt = None
with trio.CancelScope() as cs:
async with open_data_client() as proxy:
out, fails = await get_bars(proxy, fqsn)
if out is None:
raise RuntimeError("Could not pull currrent history?!")
(first_bars, bars_array, first_dt, last_dt) = out
vlm = bars_array['volume']
vlm[vlm < 0] = 0
last_dt = first_dt
# write historical data to buffer
shm.push(bars_array)
task_status.started(cs)
i = 0
while i < count:
out, fails = await get_bars(proxy, fqsn, end_dt=first_dt)
if out is None:
# could be trying to retreive bars over weekend
# TODO: add logic here to handle tradable hours and
# only grab valid bars in the range
log.error(f"Can't grab bars starting at {first_dt}!?!?")
# XXX: get_bars() should internally decrement dt by
# 2k seconds and try again.
continue
(first_bars, bars_array, first_dt, last_dt) = out
# last_dt1 = last_dt
# last_dt = first_dt
# volume cleaning since there's -ve entries,
# wood luv to know what crookery that is..
vlm = bars_array['volume']
vlm[vlm < 0] = 0
# TODO we should probably dig into forums to see what peeps
# think this data "means" and then use it as an indicator of
# sorts? dinkus has mentioned that $vlms for the day dont'
# match other platforms nor the summary stat tws shows in
# the monitor - it's probably worth investigating.
shm.push(bars_array, prepend=True)
i += 1
asset_type_map = {
'STK': 'stock',
'OPT': 'option',
'FUT': 'future',
'CONTFUT': 'continuous_future',
'CASH': 'forex',
'IND': 'index',
'CFD': 'cfd',
'BOND': 'bond',
'CMDTY': 'commodity',
'FOP': 'futures_option',
'FUND': 'mutual_fund',
'WAR': 'warrant',
'IOPT': 'warran',
'BAG': 'bag',
# 'NEWS': 'news',
}
_quote_streams: dict[str, trio.abc.ReceiveStream] = {}
async def _setup_quote_stream(
from_trio: asyncio.Queue,
to_trio: trio.abc.SendChannel,
symbol: str,
opts: tuple[int] = (
'375', # RT trade volume (excludes utrades)
'233', # RT trade volume (includes utrades)
'236', # Shortable shares
# these all appear to only be updated every 25s thus
# making them mostly useless and explains why the scanner
# is always slow XD
# '293', # Trade count for day
'294', # Trade rate / minute
'295', # Vlm rate / minute
),
contract: Optional[Contract] = None,
) -> trio.abc.ReceiveChannel:
'''
Stream a ticker using the std L1 api.
This task is ``asyncio``-side and must be called from
``tractor.to_asyncio.open_channel_from()``.
'''
global _quote_streams
to_trio.send_nowait(None)
async with load_aio_clients() as accts2clients:
caccount_name, client = get_preferred_data_client(accts2clients)
contract = contract or (await client.find_contract(symbol))
ticker: Ticker = client.ib.reqMktData(contract, ','.join(opts))
# NOTE: it's batch-wise and slow af but I guess could
# be good for backchecking? Seems to be every 5s maybe?
# ticker: Ticker = client.ib.reqTickByTickData(
# contract, 'Last',
# )
# # define a simple queue push routine that streams quote packets
# # to trio over the ``to_trio`` memory channel.
# to_trio, from_aio = trio.open_memory_channel(2**8) # type: ignore
def teardown():
ticker.updateEvent.disconnect(push)
log.error(f"Disconnected stream for `{symbol}`")
client.ib.cancelMktData(contract)
# decouple broadcast mem chan
_quote_streams.pop(symbol, None)
def push(t: Ticker) -> None:
"""
Push quotes to trio task.
"""
# log.debug(t)
try:
to_trio.send_nowait(t)
except (
trio.BrokenResourceError,
# XXX: HACK, not sure why this gets left stale (probably
# due to our terrible ``tractor.to_asyncio``
# implementation for streams.. but if the mem chan
# gets left here and starts blocking just kill the feed?
# trio.WouldBlock,
):
# XXX: eventkit's ``Event.emit()`` for whatever redic
# reason will catch and ignore regular exceptions
# resulting in tracebacks spammed to console..
# Manually do the dereg ourselves.
teardown()
except trio.WouldBlock:
log.warning(
f'channel is blocking symbol feed for {symbol}?'
f'\n{to_trio.statistics}'
)
# except trio.WouldBlock:
# # for slow debugging purposes to avoid clobbering prompt
# # with log msgs
# pass
ticker.updateEvent.connect(push)
try:
await asyncio.sleep(float('inf'))
finally:
teardown()
# return from_aio
@acm
async def open_aio_quote_stream(
symbol: str,
contract: Optional[Contract] = None,
) -> trio.abc.ReceiveStream:
from tractor.trionics import broadcast_receiver
global _quote_streams
from_aio = _quote_streams.get(symbol)
if from_aio:
# if we already have a cached feed deliver a rx side clone to consumer
async with broadcast_receiver(
from_aio,
2**6,
) as from_aio:
yield from_aio
return
async with tractor.to_asyncio.open_channel_from(
_setup_quote_stream,
symbol=symbol,
contract=contract,
) as (first, from_aio):
# cache feed for later consumers
_quote_streams[symbol] = from_aio
yield from_aio
# TODO: cython/mypyc/numba this!
def normalize(
ticker: Ticker,
calc_price: bool = False
) -> dict:
# should be real volume for this contract by default
calc_price = False
# check for special contract types
con = ticker.contract
if type(con) in (
ibis.Commodity,
ibis.Forex,
):
# commodities and forex don't have an exchange name and
# no real volume so we have to calculate the price
suffix = con.secType
# no real volume on this tract
calc_price = True
else:
suffix = con.primaryExchange
if not suffix:
suffix = con.exchange
# append a `.<suffix>` to the returned symbol
# key for derivatives that normally is the expiry
# date key.
expiry = con.lastTradeDateOrContractMonth
if expiry:
suffix += f'.{expiry}'
# convert named tuples to dicts so we send usable keys
new_ticks = []
for tick in ticker.ticks:
if tick and not isinstance(tick, dict):
td = tick._asdict()
td['type'] = tick_types.get(
td['tickType'],
'n/a',
)
new_ticks.append(td)
tbt = ticker.tickByTicks
if tbt:
print(f'tickbyticks:\n {ticker.tickByTicks}')
ticker.ticks = new_ticks
# some contracts don't have volume so we may want to calculate
# a midpoint price based on data we can acquire (such as bid / ask)
if calc_price:
ticker.ticks.append(
{'type': 'trade', 'price': ticker.marketPrice()}
)
# serialize for transport
data = asdict(ticker)
# generate fqsn with possible specialized suffix
# for derivatives, note the lowercase.
data['symbol'] = data['fqsn'] = '.'.join(
(con.symbol, suffix)
).lower()
# convert named tuples to dicts for transport
tbts = data.get('tickByTicks')
if tbts:
data['tickByTicks'] = [tbt._asdict() for tbt in tbts]
# add time stamps for downstream latency measurements
data['brokerd_ts'] = time.time()
# stupid stupid shit...don't even care any more..
# leave it until we do a proper latency study
# if ticker.rtTime is not None:
# data['broker_ts'] = data['rtTime_s'] = float(
# ticker.rtTime.timestamp) / 1000.
data.pop('rtTime')
return data
async def stream_quotes(
send_chan: trio.abc.SendChannel,
symbols: list[str],
feed_is_live: trio.Event,
loglevel: str = None,
# startup sync
task_status: TaskStatus[tuple[dict, dict]] = trio.TASK_STATUS_IGNORED,
) -> None:
'''
Stream symbol quotes.
This is a ``trio`` callable routine meant to be invoked
once the brokerd is up.
'''
# TODO: support multiple subscriptions
sym = symbols[0]
log.info(f'request for real-time quotes: {sym}')
async with open_data_client() as proxy:
con, first_ticker, details = await proxy.get_sym_details(symbol=sym)
first_quote = normalize(first_ticker)
# print(f'first quote: {first_quote}')
def mk_init_msgs() -> dict[str, dict]:
'''
Collect a bunch of meta-data useful for feed startup and
pack in a `dict`-msg.
'''
# pass back some symbol info like min_tick, trading_hours, etc.
syminfo = asdict(details)
syminfo.update(syminfo['contract'])
# nested dataclass we probably don't need and that won't IPC
# serialize
syminfo.pop('secIdList')
# TODO: more consistent field translation
atype = syminfo['asset_type'] = asset_type_map[syminfo['secType']]
# for stocks it seems TWS reports too small a tick size
# such that you can't submit orders with that granularity?
min_tick = 0.01 if atype == 'stock' else 0
syminfo['price_tick_size'] = max(syminfo['minTick'], min_tick)
# for "traditional" assets, volume is normally discreet, not
# a float
syminfo['lot_tick_size'] = 0.0
ibclient = proxy._aio_ns.ib.client
host, port = ibclient.host, ibclient.port
# TODO: for loop through all symbols passed in
init_msgs = {
# pass back token, and bool, signalling if we're the writer
# and that history has been written
sym: {
'symbol_info': syminfo,
'fqsn': first_quote['fqsn'],
},
'status': {
'data_ep': f'{host}:{port}',
},
}
return init_msgs
init_msgs = mk_init_msgs()
# TODO: we should instead spawn a task that waits on a feed to start
# and let it wait indefinitely..instead of this hard coded stuff.
with trio.move_on_after(1):
contract, first_ticker, details = await proxy.get_quote(symbol=sym)
# it might be outside regular trading hours so see if we can at
# least grab history.
if isnan(first_ticker.last):
task_status.started((init_msgs, first_quote))
# it's not really live but this will unblock
# the brokerd feed task to tell the ui to update?
feed_is_live.set()
# block and let data history backfill code run.
await trio.sleep_forever()
return # we never expect feed to come up?
async with open_aio_quote_stream(
symbol=sym,
contract=con,
) as stream:
# ugh, clear ticks since we've consumed them
# (ahem, ib_insync is stateful trash)
first_ticker.ticks = []
task_status.started((init_msgs, first_quote))
async with aclosing(stream):
if type(first_ticker.contract) not in (
ibis.Commodity,
ibis.Forex
):
# wait for real volume on feed (trading might be closed)
while True:
ticker = await stream.receive()
# for a real volume contract we rait for the first
# "real" trade to take place
if (
# not calc_price
# and not ticker.rtTime
not ticker.rtTime
):
# spin consuming tickers until we get a real
# market datum
log.debug(f"New unsent ticker: {ticker}")
continue
else:
log.debug("Received first real volume tick")
# ugh, clear ticks since we've consumed them
# (ahem, ib_insync is truly stateful trash)
ticker.ticks = []
# XXX: this works because we don't use
# ``aclosing()`` above?
break
quote = normalize(ticker)
log.debug(f"First ticker received {quote}")
# tell caller quotes are now coming in live
feed_is_live.set()
# last = time.time()
async for ticker in stream:
quote = normalize(ticker)
await send_chan.send({quote['fqsn']: quote})
# ugh, clear ticks since we've consumed them
ticker.ticks = []
# last = time.time()
async def data_reset_hack(
reset_type: str = 'data',
) -> None:
'''
Run key combos for resetting data feeds and yield back to caller
when complete.
This is a linux-only hack around:
https://interactivebrokers.github.io/tws-api/historical_limitations.html#pacing_violations
TODOs:
- a return type that hopefully determines if the hack was
successful.
- other OS support?
- integration with ``ib-gw`` run in docker + Xorg?
'''
async def vnc_click_hack(
reset_type: str = 'data'
) -> None:
'''
Reset the data or netowork connection for the VNC attached
ib gateway using magic combos.
'''
key = {'data': 'f', 'connection': 'r'}[reset_type]
import asyncvnc
async with asyncvnc.connect(
'localhost',
port=3003,
# password='ibcansmbz',
) as client:
# move to middle of screen
# 640x1800
client.mouse.move(
x=500,
y=500,
)
client.mouse.click()
client.keyboard.press('Ctrl', 'Alt', key) # keys are stacked
await tractor.to_asyncio.run_task(vnc_click_hack)
# we don't really need the ``xdotool`` approach any more B)
return True
@tractor.context
async def open_symbol_search(
ctx: tractor.Context,
) -> None:
# TODO: load user defined symbol set locally for fast search?
await ctx.started({})
async with open_data_client() as proxy:
async with ctx.open_stream() as stream:
last = time.time()
async for pattern in stream:
log.debug(f'received {pattern}')
now = time.time()
assert pattern, 'IB can not accept blank search pattern'
# throttle search requests to no faster then 1Hz
diff = now - last
if diff < 1.0:
log.debug('throttle sleeping')
await trio.sleep(diff)
try:
pattern = stream.receive_nowait()
except trio.WouldBlock:
pass
if not pattern or pattern.isspace():
log.warning('empty pattern received, skipping..')
# TODO: *BUG* if nothing is returned here the client
# side will cache a null set result and not showing
# anything to the use on re-searches when this query
# timed out. We probably need a special "timeout" msg
# or something...
# XXX: this unblocks the far end search task which may
# hold up a multi-search nursery block
await stream.send({})
continue
log.debug(f'searching for {pattern}')
last = time.time()
# async batch search using api stocks endpoint and module
# defined adhoc symbol set.
stock_results = []
async def stash_results(target: Awaitable[list]):
stock_results.extend(await target)
async with trio.open_nursery() as sn:
sn.start_soon(
stash_results,
proxy.search_symbols(
pattern=pattern,
upto=5,
),
)
# 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}
log.debug(f'fuzzy matching stocks {stock_results}')
stock_matches = fuzzy.extractBests(
pattern,
stock_results,
score_cutoff=50,
)
matches = adhoc_match_results | {
item[0]: {} for item in stock_matches
}
# TODO: we used to deliver contract details
# {item[2]: item[0] for item in stock_matches}
log.debug(f"sending matches: {matches.keys()}")
await stream.send(matches)

View File

@ -19,6 +19,7 @@ Supervisor for docker with included specific-image service helpers.
''' '''
import os import os
import time
from typing import ( from typing import (
Optional, Optional,
Callable, Callable,
@ -186,45 +187,65 @@ class Container:
async def cancel( async def cancel(
self, self,
stop_msg: str,
) -> None: ) -> None:
cid = self.cntr.id cid = self.cntr.id
# first try a graceful cancel
log.cancel(
f'SIGINT cancelling container: {cid}\n'
f'waiting on stop msg: "{stop_msg}"'
)
self.try_signal('SIGINT') self.try_signal('SIGINT')
with trio.move_on_after(0.5) as cs: start = time.time()
cs.shield = True for _ in range(30):
await self.process_logs_until('initiating graceful shutdown')
await self.process_logs_until('exiting...',)
for _ in range(10):
with trio.move_on_after(0.5) as cs: with trio.move_on_after(0.5) as cs:
cs.shield = True cs.shield = True
await self.process_logs_until('exiting...',) await self.process_logs_until(stop_msg)
# if we aren't cancelled on above checkpoint then we
# assume we read the expected stop msg and terminated.
break break
if cs.cancelled_caught:
# get out the big guns, bc apparently marketstore
# doesn't actually know how to terminate gracefully
# :eyeroll:...
self.try_signal('SIGKILL')
try: try:
log.info('Waiting on container shutdown: {cid}') log.info(f'Polling for container shutdown:\n{cid}')
if self.cntr.status not in {'exited', 'not-running'}:
self.cntr.wait( self.cntr.wait(
timeout=0.1, timeout=0.1,
condition='not-running', condition='not-running',
) )
break break
except ( except (
ReadTimeout, ReadTimeout,
):
log.info(f'Still waiting on container:\n{cid}')
continue
except (
docker.errors.APIError,
ConnectionError, ConnectionError,
): ):
log.error(f'failed to wait on container {cid}') log.exception('Docker connection failure')
raise break
else: else:
raise RuntimeError('Failed to cancel container {cid}') 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}') log.cancel(f'Container stopped: {cid}')
@ -245,13 +266,16 @@ async def open_ahabd(
# params, etc. passing to ``Containter.run()``? # params, etc. passing to ``Containter.run()``?
# call into endpoint for container config/init # call into endpoint for container config/init
ep_func = NamespacePath(endpoint).load_ref() ep_func = NamespacePath(endpoint).load_ref()
dcntr, cntr_config = ep_func(client) (
dcntr,
cntr_config,
start_msg,
stop_msg,
) = ep_func(client)
cntr = Container(dcntr) cntr = Container(dcntr)
with trio.move_on_after(1): with trio.move_on_after(1):
found = await cntr.process_logs_until( found = await cntr.process_logs_until(start_msg)
"launching tcp listener for all services...",
)
if not found and cntr not in client.containers.list(): if not found and cntr not in client.containers.list():
raise RuntimeError( raise RuntimeError(
@ -271,16 +295,9 @@ async def open_ahabd(
# callers to have root perms? # callers to have root perms?
await trio.sleep_forever() await trio.sleep_forever()
except ( finally:
BaseException,
# trio.Cancelled,
# KeyboardInterrupt,
):
with trio.CancelScope(shield=True): with trio.CancelScope(shield=True):
await cntr.cancel() await cntr.cancel(stop_msg)
raise
async def start_ahab( async def start_ahab(

View File

@ -700,6 +700,7 @@ async def manage_history(
bfqsn = fqsn.replace('.' + mod.name, '') bfqsn = fqsn.replace('.' + mod.name, '')
open_history_client = getattr(mod, 'open_history_client', None) open_history_client = getattr(mod, 'open_history_client', None)
assert open_history_client
if is_up and opened and open_history_client: if is_up and opened and open_history_client:

View File

@ -127,10 +127,15 @@ def start_marketstore(
import os import os
import docker import docker
from .. import config from .. import config
get_console_log('info', name=__name__) get_console_log('info', name=__name__)
yml_file = os.path.join(config._config_dir, 'mkts.yml') mktsdir = os.path.join(config._config_dir, 'marketstore')
# create when dne
if not os.path.isdir(mktsdir):
os.mkdir(mktsdir)
yml_file = os.path.join(mktsdir, 'mkts.yml')
if not os.path.isfile(yml_file): if not os.path.isfile(yml_file):
log.warning( log.warning(
f'No `marketstore` config exists?: {yml_file}\n' f'No `marketstore` config exists?: {yml_file}\n'
@ -143,14 +148,14 @@ def start_marketstore(
# create a mount from user's local piker config dir into container # create a mount from user's local piker config dir into container
config_dir_mnt = docker.types.Mount( config_dir_mnt = docker.types.Mount(
target='/etc', target='/etc',
source=config._config_dir, source=mktsdir,
type='bind', type='bind',
) )
# create a user config subdir where the marketstore # create a user config subdir where the marketstore
# backing filesystem database can be persisted. # backing filesystem database can be persisted.
persistent_data_dir = os.path.join( persistent_data_dir = os.path.join(
config._config_dir, 'data', mktsdir, 'data',
) )
if not os.path.isdir(persistent_data_dir): if not os.path.isdir(persistent_data_dir):
os.mkdir(persistent_data_dir) os.mkdir(persistent_data_dir)
@ -180,7 +185,14 @@ def start_marketstore(
init=True, init=True,
# remove=True, # remove=True,
) )
return dcntr, _config return (
dcntr,
_config,
# expected startup and stop msgs
"launching tcp listener for all services...",
"exiting...",
)
_tick_tbk_ids: tuple[str, str] = ('1Sec', 'TICK') _tick_tbk_ids: tuple[str, str] = ('1Sec', 'TICK')
@ -383,7 +395,12 @@ class Storage:
]: ]:
first_tsdb_dt, last_tsdb_dt = None, None first_tsdb_dt, last_tsdb_dt = None, None
tsdb_arrays = await self.read_ohlcv(fqsn) tsdb_arrays = await self.read_ohlcv(
fqsn,
# on first load we don't need to pull the max
# history per request size worth.
limit=3000,
)
log.info(f'Loaded tsdb history {tsdb_arrays}') log.info(f'Loaded tsdb history {tsdb_arrays}')
if tsdb_arrays: if tsdb_arrays:
@ -401,6 +418,7 @@ class Storage:
fqsn: str, fqsn: str,
timeframe: Optional[Union[int, str]] = None, timeframe: Optional[Union[int, str]] = None,
end: Optional[int] = None, end: Optional[int] = None,
limit: int = int(800e3),
) -> tuple[ ) -> tuple[
MarketstoreClient, MarketstoreClient,
@ -423,7 +441,7 @@ class Storage:
# TODO: figure the max limit here given the # TODO: figure the max limit here given the
# ``purepc`` msg size limit of purerpc: 33554432 # ``purepc`` msg size limit of purerpc: 33554432
limit=int(800e3), limit=limit,
) )
if timeframe is None: if timeframe is None:

View File

@ -361,7 +361,7 @@ async def cascade(
) -> tuple[TaskTracker, int]: ) -> tuple[TaskTracker, int]:
# TODO: adopt an incremental update engine/approach # TODO: adopt an incremental update engine/approach
# where possible here eventually! # where possible here eventually!
log.warning(f're-syncing fsp {func_name} to source') log.debug(f're-syncing fsp {func_name} to source')
tracker.cs.cancel() tracker.cs.cancel()
await tracker.complete.wait() await tracker.complete.wait()
tracker, index = await n.start(fsp_target) tracker, index = await n.start(fsp_target)

View File

@ -379,7 +379,7 @@ class Curve(pg.GraphicsObject):
) -> None: ) -> None:
# default line draw last call # default line draw last call
with self.reset_cache(): # with self.reset_cache():
x = render_data['index'] x = render_data['index']
y = render_data[array_key] y = render_data[array_key]

View File

@ -426,71 +426,6 @@ def graphics_update_cycle(
profiler('view incremented') profiler('view incremented')
if vlm_chart:
# always update y-label
ds.vlm_sticky.update_from_data(
*array[-1][['index', 'volume']]
)
if (
(
do_rt_update
or do_append
and liv
)
or trigger_all
):
# TODO: make it so this doesn't have to be called
# once the $vlm is up?
vlm_chart.update_graphics_from_flow(
'volume',
# UGGGh, see ``maxmin()`` impl in `._fsp` for
# the overlayed plotitems... we need a better
# bay to invoke a maxmin per overlay..
render=False,
# XXX: ^^^^ THIS IS SUPER IMPORTANT! ^^^^
# without this, since we disable the
# 'volume' (units) chart after the $vlm starts
# up we need to be sure to enable this
# auto-ranging otherwise there will be no handler
# connected to update accompanying overlay
# graphics..
)
profiler('`vlm_chart.update_graphics_from_flow()`')
if (
mx_vlm_in_view != vars['last_mx_vlm']
):
yrange = (0, mx_vlm_in_view * 1.375)
vlm_chart.view._set_yrange(
yrange=yrange,
)
profiler('`vlm_chart.view._set_yrange()`')
# print(f'mx vlm: {last_mx_vlm} -> {mx_vlm_in_view}')
vars['last_mx_vlm'] = mx_vlm_in_view
for curve_name, flow in vlm_chart._flows.items():
if not flow.render:
continue
update_fsp_chart(
vlm_chart,
flow,
curve_name,
array_key=curve_name,
# do_append=uppx < update_uppx,
do_append=do_append,
)
# is this even doing anything?
# (pretty sure it's the real-time
# resizing from last quote?)
fvb = flow.plot.vb
fvb._set_yrange(
# autoscale_linked_plots=False,
name=curve_name,
)
ticks_frame = quote.get('ticks', ()) ticks_frame = quote.get('ticks', ())
frames_by_type: dict[str, dict] = {} frames_by_type: dict[str, dict] = {}
@ -540,15 +475,16 @@ def graphics_update_cycle(
or do_append or do_append
or trigger_all or trigger_all
): ):
# TODO: we should always update the "last" datum
# since the current range should at least be updated
# to it's max/min on the last pixel.
chart.update_graphics_from_flow( chart.update_graphics_from_flow(
chart.name, chart.name,
# do_append=uppx < update_uppx, # do_append=uppx < update_uppx,
do_append=do_append, do_append=do_append,
) )
# NOTE: we always update the "last" datum
# since the current range should at least be updated
# to it's max/min on the last pixel.
# iterate in FIFO order per tick-frame # iterate in FIFO order per tick-frame
for typ, tick in lasts.items(): for typ, tick in lasts.items():
@ -653,11 +589,106 @@ def graphics_update_cycle(
vars['last_mx'], vars['last_mn'] = mx, mn vars['last_mx'], vars['last_mn'] = mx, mn
# run synchronous update on all linked flows # run synchronous update on all linked flows
# TODO: should the "main" (aka source) flow be special?
for curve_name, flow in chart._flows.items(): for curve_name, flow in chart._flows.items():
# update any overlayed fsp flows
if curve_name != chart.data_key:
update_fsp_chart(
chart,
flow,
curve_name,
array_key=curve_name,
)
# even if we're downsampled bigly
# draw the last datum in the final
# px column to give the user the mx/mn
# range of that set.
if (
not do_append
# and not do_rt_update
and liv
):
flow.draw_last(
array_key=curve_name,
only_last_uppx=True,
)
# volume chart logic..
# TODO: can we unify this with the above loop?
if vlm_chart:
# always update y-label
ds.vlm_sticky.update_from_data(
*array[-1][['index', 'volume']]
)
if ( if (
not (do_rt_update or do_append) (
do_rt_update
or do_append
and liv and liv
)
or trigger_all
):
# TODO: make it so this doesn't have to be called
# once the $vlm is up?
vlm_chart.update_graphics_from_flow(
'volume',
# UGGGh, see ``maxmin()`` impl in `._fsp` for
# the overlayed plotitems... we need a better
# bay to invoke a maxmin per overlay..
render=False,
# XXX: ^^^^ THIS IS SUPER IMPORTANT! ^^^^
# without this, since we disable the
# 'volume' (units) chart after the $vlm starts
# up we need to be sure to enable this
# auto-ranging otherwise there will be no handler
# connected to update accompanying overlay
# graphics..
)
profiler('`vlm_chart.update_graphics_from_flow()`')
if (
mx_vlm_in_view != vars['last_mx_vlm']
):
yrange = (0, mx_vlm_in_view * 1.375)
vlm_chart.view._set_yrange(
yrange=yrange,
)
profiler('`vlm_chart.view._set_yrange()`')
# print(f'mx vlm: {last_mx_vlm} -> {mx_vlm_in_view}')
vars['last_mx_vlm'] = mx_vlm_in_view
for curve_name, flow in vlm_chart._flows.items():
if (
curve_name != 'volume' and
flow.render and (
liv and
do_rt_update or do_append
)
):
update_fsp_chart(
vlm_chart,
flow,
curve_name,
array_key=curve_name,
# do_append=uppx < update_uppx,
do_append=do_append,
)
# is this even doing anything?
# (pretty sure it's the real-time
# resizing from last quote?)
fvb = flow.plot.vb
fvb._set_yrange(
name=curve_name,
)
elif (
curve_name != 'volume'
and not do_append
and liv
and uppx >= 1
# even if we're downsampled bigly # even if we're downsampled bigly
# draw the last datum in the final # draw the last datum in the final
# px column to give the user the mx/mn # px column to give the user the mx/mn
@ -665,19 +696,9 @@ def graphics_update_cycle(
): ):
# always update the last datum-element # always update the last datum-element
# graphic for all flows # graphic for all flows
# print(f'drawing last {flow.name}')
flow.draw_last(array_key=curve_name) flow.draw_last(array_key=curve_name)
# TODO: should the "main" (aka source) flow be special?
if curve_name == chart.data_key:
continue
update_fsp_chart(
chart,
flow,
curve_name,
array_key=curve_name,
)
async def display_symbol_data( async def display_symbol_data(
godwidget: GodWidget, godwidget: GodWidget,

View File

@ -175,6 +175,7 @@ def render_baritems(
name=f'{flow.name}_ds_ohlc', name=f'{flow.name}_ds_ohlc',
color=bars._color, color=bars._color,
) )
flow.ds_graphics = curve
curve.hide() curve.hide()
self.plot.addItem(curve) self.plot.addItem(curve)
@ -192,18 +193,20 @@ def render_baritems(
uppx = curve.x_uppx() uppx = curve.x_uppx()
in_line = should_line = curve.isVisible() in_line = should_line = curve.isVisible()
if ( if (
should_line in_line
and uppx < x_gt and uppx < x_gt
): ):
# print('FLIPPING TO BARS') # print('FLIPPING TO BARS')
should_line = False should_line = False
flow._in_ds = False
elif ( elif (
not should_line not in_line
and uppx >= x_gt and uppx >= x_gt
): ):
# print('FLIPPING TO LINE') # print('FLIPPING TO LINE')
should_line = True should_line = True
flow._in_ds = True
profiler(f'ds logic complete line={should_line}') profiler(f'ds logic complete line={should_line}')
@ -333,7 +336,13 @@ class Flow(msgspec.Struct): # , frozen=True):
''' '''
name: str name: str
plot: pg.PlotItem plot: pg.PlotItem
graphics: Curve graphics: Union[Curve, BarItems]
# in some cases a flow may want to change its
# graphical "type" or, "form" when downsampling,
# normally this is just a plain line.
ds_graphics: Optional[Curve] = None
_shm: ShmArray _shm: ShmArray
is_ohlc: bool = False is_ohlc: bool = False
@ -540,6 +549,7 @@ class Flow(msgspec.Struct): # , frozen=True):
should_redraw: bool = False should_redraw: bool = False
rkwargs = {} rkwargs = {}
should_line = False
if isinstance(graphics, BarItems): if isinstance(graphics, BarItems):
# XXX: special case where we change out graphics # XXX: special case where we change out graphics
# to a line after a certain uppx threshold. # to a line after a certain uppx threshold.
@ -556,8 +566,8 @@ class Flow(msgspec.Struct): # , frozen=True):
profiler, profiler,
**kwargs, **kwargs,
) )
# bars = True
should_redraw = changed_to_line or not should_line should_redraw = changed_to_line or not should_line
self._in_ds = should_line
else: else:
r = self._src_r r = self._src_r
@ -661,6 +671,17 @@ class Flow(msgspec.Struct): # , frozen=True):
# assign output paths to graphicis obj # assign output paths to graphicis obj
graphics.path = r.path graphics.path = r.path
graphics.fast_path = r.fast_path graphics.fast_path = r.fast_path
# XXX: we don't need this right?
# graphics.draw_last_datum(
# path,
# src_array,
# data,
# reset,
# array_key,
# )
# graphics.update()
# profiler('.update()')
else: else:
# assign output paths to graphicis obj # assign output paths to graphicis obj
graphics.path = r.path graphics.path = r.path
@ -673,16 +694,15 @@ class Flow(msgspec.Struct): # , frozen=True):
reset, reset,
array_key, array_key,
) )
graphics.update()
# TODO: is this ever better? profiler('.update()')
# graphics.prepareGeometryChange()
# profiler('.prepareGeometryChange()')
# TODO: does this actuallly help us in any way (prolly should # TODO: does this actuallly help us in any way (prolly should
# look at the source / ask ogi). I think it avoid artifacts on # look at the source / ask ogi). I think it avoid artifacts on
# wheel-scroll downsampling curve updates? # wheel-scroll downsampling curve updates?
graphics.update() # TODO: is this ever better?
profiler('.update()') # graphics.prepareGeometryChange()
# profiler('.prepareGeometryChange()')
# track downsampled state # track downsampled state
self._in_ds = r._in_ds self._in_ds = r._in_ds
@ -692,6 +712,7 @@ class Flow(msgspec.Struct): # , frozen=True):
def draw_last( def draw_last(
self, self,
array_key: Optional[str] = None, array_key: Optional[str] = None,
only_last_uppx: bool = False,
) -> None: ) -> None:
@ -711,19 +732,41 @@ class Flow(msgspec.Struct): # , frozen=True):
array_key, array_key,
) )
if self._in_ds: # the renderer is downsampling we choose
# to always try and updadte a single (interpolating)
# line segment that spans and tries to display
# the las uppx's worth of datums.
# we only care about the last pixel's # we only care about the last pixel's
# worth of data since that's all the screen # worth of data since that's all the screen
# can represent on the last column where # can represent on the last column where
# the most recent datum is being drawn. # the most recent datum is being drawn.
if self._in_ds or only_last_uppx:
dsg = self.ds_graphics or self.graphics
# XXX: pretty sure we don't need this?
# if isinstance(g, Curve):
# with dsg.reset_cache():
uppx = self._last_uppx uppx = self._last_uppx
y = y[-uppx:] y = y[-uppx:]
ymn, ymx = y.min(), y.max() ymn, ymx = y.min(), y.max()
# print(f'drawing uppx={uppx} mxmn line: {ymn}, {ymx}') # print(f'drawing uppx={uppx} mxmn line: {ymn}, {ymx}')
g._last_line = QLineF( try:
x[-2], ymn, iuppx = x[-uppx]
except IndexError:
# we're less then an x-px wide so just grab the start
# datum index.
iuppx = x[0]
dsg._last_line = QLineF(
iuppx, ymn,
x[-1], ymx, x[-1], ymx,
) )
# print(f'updating DS curve {self.name}')
dsg.update()
else:
# print(f'updating NOT DS curve {self.name}')
g.update()
def by_index_and_key( def by_index_and_key(

View File

@ -440,7 +440,7 @@ class FspAdmin:
# if the chart isn't hidden try to update # if the chart isn't hidden try to update
# the data on screen. # the data on screen.
if not self.linked.isHidden(): if not self.linked.isHidden():
log.info(f'Re-syncing graphics for fsp: {ns_path}') log.debug(f'Re-syncing graphics for fsp: {ns_path}')
self.linked.graphics_cycle( self.linked.graphics_cycle(
trigger_all=True, trigger_all=True,
prepend_update_index=info['first'], prepend_update_index=info['first'],

View File

@ -57,6 +57,7 @@ setup(
# from github currently (see requirements.txt) # from github currently (see requirements.txt)
# 'trimeter', # not released yet.. # 'trimeter', # not released yet..
# 'tractor', # 'tractor',
# asyncvnc,
# brokers # brokers
'asks==2.4.8', 'asks==2.4.8',
@ -71,32 +72,34 @@ setup(
# UI # UI
'PyQt5', 'PyQt5',
'pyqtgraph', # 'pyqtgraph', from our fork see reqs.txt
'qdarkstyle >= 3.0.2', 'qdarkstyle >= 3.0.2', # themeing
# fuzzy search 'fuzzywuzzy[speedup]', # fuzzy search
'fuzzywuzzy[speedup]',
# tsdbs # tsdbs
'pymarketstore', # anyio-marketstore # from gh see reqs.txt
], ],
extras_require={ extras_require={
# serialization
'tsdb': [ 'tsdb': [
'docker', 'docker',
], ],
}, },
tests_require=['pytest'], tests_require=['pytest'],
python_requires=">=3.9", # literally for ``datetime.datetime.fromisoformat``... python_requires=">=3.10",
keywords=["async", "trading", "finance", "quant", "charting"], keywords=[
"async",
"trading",
"finance",
"quant",
"charting",
],
classifiers=[ classifiers=[
'Development Status :: 3 - Alpha', 'Development Status :: 3 - Alpha',
'License :: OSI Approved :: ', 'License :: OSI Approved :: ',
'Operating System :: POSIX :: Linux', 'Operating System :: POSIX :: Linux',
"Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.10",
'Intended Audience :: Financial and Insurance Industry', 'Intended Audience :: Financial and Insurance Industry',
'Intended Audience :: Science/Research', 'Intended Audience :: Science/Research',