Port to new streaming api, yield whole tickers
parent
450a39ce1c
commit
41c6517a23
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@ -2,28 +2,35 @@
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Interactive Brokers API backend.
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Note the client runs under an ``asyncio`` loop (since ``ib_insync`` is
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built on it) and thus actor aware apis must be spawned with
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built on it) and thus actor aware API calls must be spawned with
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``infected_aio==True``.
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"""
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import asyncio
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from contextlib import asynccontextmanager
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from dataclasses import asdict
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from functools import partial
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from typing import List, Dict, Any, Tuple, Optional, AsyncGenerator
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import asyncio
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import inspect
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from typing import List, Dict, Any, Tuple
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from contextlib import asynccontextmanager
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import itertools
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import time
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import tractor
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from async_generator import aclosing
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import ib_insync as ibis
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from ib_insync.ticker import Ticker
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from ib_insync.contract import Contract, ContractDetails
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from ib_insync.ticker import Ticker
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import ib_insync as ibis
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import tractor
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from ..log import get_logger, get_console_log
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from ..data import maybe_spawn_brokerd
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from ..ui._source import from_df
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log = get_logger(__name__)
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# passed to ``tractor.ActorNursery.start_actor()``
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_spawn_kwargs = {
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'infect_asyncio': True,
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}
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_time_units = {
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's': ' sec',
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'm': ' mins',
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@ -82,17 +89,15 @@ class Client:
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endDateTime='',
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# durationStr='60 S',
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# durationStr='1 D',
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durationStr='{count} S'.format(count=3000*5),
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durationStr='{count} S'.format(count=3000 * 5),
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barSizeSetting='5 secs',
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whatToShow='TRADES',
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useRTH=False
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)
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# TODO: raise underlying error here
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assert bars
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# barSizeSetting='1 min', whatToShow='MIDPOINT', useRTH=True)
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# convert to pandas dataframe:
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df = ibis.util.df(bars)
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# print(df[['date', 'open', 'high', 'low', 'close', 'volume']])
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from piker.ui._source import from_df
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return from_df(df)
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async def search_stocks(
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@ -194,7 +199,6 @@ class Client:
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# default config ports
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_tws_port: int = 7497
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_gw_port: int = 4002
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# list of ports to try in order
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_try_ports = [_tws_port, _gw_port]
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@ -202,10 +206,20 @@ _try_ports = [_tws_port, _gw_port]
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async def _aio_get_client(
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host: str = '127.0.0.1',
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port: int = None,
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client_id: int = 1,
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client_id: Optional[int] = None,
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) -> Client:
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"""Return an ``ib_insync.IB`` instance wrapped in our client API.
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"""
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if client_id is None:
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# if this is a persistent brokerd, try to allocate a new id for
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# each client
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try:
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ss = tractor.current_actor().statespace
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client_id = next(ss.setdefault('client_ids', itertools.count()))
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except RuntimeError:
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# tractor likely isn't running
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client_id = 1
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ib = ibis.IB()
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ports = _try_ports if port is None else [port]
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_err = None
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@ -271,26 +285,27 @@ async def _trio_run_client_method(
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return result
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def get_method_proxy(portal, target):
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class _MethodProxy:
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def __init__(self, portal: tractor._portal.Portal):
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self._portal = portal
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class MethodProxy:
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def __init__(self, portal: tractor._portal.Portal):
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self._portal = portal
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async def _run_method(
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self,
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*,
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meth: str = None,
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async def _run_method(
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self,
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*,
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meth: str = None,
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**kwargs
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) -> Any:
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return await self._portal.run(
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__name__,
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'_trio_run_client_method',
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method=meth,
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**kwargs
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) -> Any:
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return await self._portal.run(
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__name__,
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'_trio_run_client_method',
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method=meth,
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**kwargs
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)
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)
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proxy = MethodProxy(portal)
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def get_method_proxy(portal, target) -> _MethodProxy:
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proxy = _MethodProxy(portal)
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# mock all remote methods
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for name, method in inspect.getmembers(
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@ -303,33 +318,6 @@ def get_method_proxy(portal, target):
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return proxy
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@asynccontextmanager
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async def maybe_spawn_brokerd(
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**kwargs,
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) -> tractor._portal.Portal:
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async with tractor.find_actor('brokerd_ib') as portal:
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# WTF: why doesn't this work?
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print(__name__)
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if portal is not None:
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yield portal
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else: # no broker daemon created yet
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async with tractor.open_nursery() as n:
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# XXX: this needs to somehow be hidden
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portal = await n.start_actor(
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'brokerd_ib',
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rpc_module_paths=[__name__],
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infect_asyncio=True,
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)
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async with tractor.wait_for_actor(
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'brokerd_ib'
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) as portal:
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yield portal
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# client code may block indefinitely so cancel when
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# teardown is invoked
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await n.cancel()
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@asynccontextmanager
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async def get_client(
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**kwargs,
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@ -337,45 +325,47 @@ async def get_client(
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"""Init the ``ib_insync`` client in another actor and return
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a method proxy to it.
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"""
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async with maybe_spawn_brokerd(**kwargs) as portal:
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async with maybe_spawn_brokerd(
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brokername='ib',
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expose_mods=[__name__],
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infect_asyncio=True,
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**kwargs
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) as portal:
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yield get_method_proxy(portal, Client)
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async def trio_stream_ticker(sym):
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async def stream_quotes(
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symbols: List[str],
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) -> AsyncGenerator[str, Dict[str, Any]]:
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"""Stream symbol quotes.
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This is a ``trio`` callable routine meant to be invoked
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once the brokerd is up.
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"""
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get_console_log('info')
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stream = await tractor.to_asyncio.run_task(
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_trio_run_client_method,
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method='stream_ticker',
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symbol=sym,
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symbol=symbols[0],
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)
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async with aclosing(stream):
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async for ticker in stream:
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# TODO: validate this value
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lft = ticker.rtTime
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for tick_data in ticker.ticks:
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value = tick_data._asdict()
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now = time.time()
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value['time'] = now
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value['last_fill_time'] = lft
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if lft:
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# convert from milliseconds
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lft = float(lft) / 1000.
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value['latency'] = now - lft
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# convert named tuples to dicts so we send usable keys
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# for tick_data in ticker.ticks:
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ticker.ticks = [td._asdict() for td in ticker.ticks]
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yield value
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data = asdict(ticker)
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# add time stamps for downstream latency measurements
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data['brokerd_ts'] = time.time()
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if ticker.rtTime:
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data['rtTime_s'] = float(ticker.rtTime) / 1000.
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async def stream_from_brokerd(sym):
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yield data
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async with maybe_spawn_brokerd() as portal:
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stream = await portal.run(
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__name__,
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'trio_stream_ticker',
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sym=sym,
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)
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async for tick in stream:
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print(f"trio got: {tick}")
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# ugh, clear ticks since we've consumed them
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ticker.ticks = []
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if __name__ == '__main__':
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