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Merge pull request #440 from pikers/samplerd_service 

`samplerd` service
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goodboy 2023-01-30 11:48:07 -05:00 committed by GitHub
parent 4833d56ecb fcfc0f31f0
commit 61218f30f5
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18 changed files with 1680 additions and 703 deletions
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467
piker/_daemon.py
View File

@ -18,16 +18,27 @@
Structured, daemon tree service management. Structured, daemon tree service management.
""" """
from typing import Optional, Union, Callable, Any from __future__ import annotations
from contextlib import asynccontextmanager as acm import os
from typing import (
Optional,
Callable,
Any,
ClassVar,
)
from contextlib import (
asynccontextmanager as acm,
)
from collections import defaultdict from collections import defaultdict
from msgspec import Struct
import tractor import tractor
import trio import trio
from trio_typing import TaskStatus from trio_typing import TaskStatus
from .log import get_logger, get_console_log from .log import (
get_logger,
get_console_log,
)
from .brokers import get_brokermod from .brokers import get_brokermod
@ -42,28 +53,111 @@ _default_reg_addr: tuple[str, int] = (
_default_registry_port, _default_registry_port,
) )
# NOTE: this value is set as an actor-global once the first endpoint # NOTE: this value is set as an actor-global once the first endpoint
# who is capable, spawns a `pikerd` service tree. # who is capable, spawns a `pikerd` service tree.
_registry_addr: tuple[str, int] | None = None _registry: Registry | None = None
class Registry:
addr: None | tuple[str, int] = None
# TODO: table of uids to sockaddrs
peers: dict[
tuple[str, str],
tuple[str, int],
] = {}
_tractor_kwargs: dict[str, Any] = {}
@acm
async def open_registry(
addr: None | tuple[str, int] = None,
ensure_exists: bool = True,
) -> tuple[str, int]:
global _tractor_kwargs
actor = tractor.current_actor()
uid = actor.uid
if (
Registry.addr is not None
and addr
):
raise RuntimeError(
f'`{uid}` registry addr already bound @ {_registry.sockaddr}'
)
was_set: bool = False
if (
not tractor.is_root_process()
and Registry.addr is None
):
Registry.addr = actor._arb_addr
if (
ensure_exists
and Registry.addr is None
):
raise RuntimeError(
f"`{uid}` registry should already exist bug doesn't?"
)
if (
Registry.addr is None
):
was_set = True
Registry.addr = addr or _default_reg_addr
_tractor_kwargs['arbiter_addr'] = Registry.addr
try:
yield Registry.addr
finally:
# XXX: always clear the global addr if we set it so that the
# next (set of) calls will apply whatever new one is passed
# in.
if was_set:
Registry.addr = None
def get_tractor_runtime_kwargs() -> dict[str, Any]:
'''
Deliver ``tractor`` related runtime variables in a `dict`.
'''
return _tractor_kwargs
_tractor_kwargs: dict[str, Any] = {
# use a different registry addr then tractor's default
'arbiter_addr': _registry_addr
}
_root_modules = [ _root_modules = [
__name__, __name__,
'piker.clearing._ems', 'piker.clearing._ems',
'piker.clearing._client', 'piker.clearing._client',
'piker.data._sampling',
] ]
class Services(Struct): # TODO: factor this into a ``tractor.highlevel`` extension
# pack for the library.
class Services:
actor_n: tractor._supervise.ActorNursery actor_n: tractor._supervise.ActorNursery
service_n: trio.Nursery service_n: trio.Nursery
debug_mode: bool # tractor sub-actor debug mode flag debug_mode: bool # tractor sub-actor debug mode flag
service_tasks: dict[str, tuple[trio.CancelScope, tractor.Portal]] = {} service_tasks: dict[
str,
tuple[
trio.CancelScope,
tractor.Portal,
trio.Event,
]
] = {}
locks = defaultdict(trio.Lock)
@classmethod
async def start_service_task( async def start_service_task(
self, self,
name: str, name: str,
@ -82,7 +176,12 @@ class Services(Struct):
''' '''
async def open_context_in_task( async def open_context_in_task(
task_status: TaskStatus[ task_status: TaskStatus[
trio.CancelScope] = trio.TASK_STATUS_IGNORED, tuple[
trio.CancelScope,
trio.Event,
Any,
]
] = trio.TASK_STATUS_IGNORED,
) -> Any: ) -> Any:
@ -94,144 +193,97 @@ class Services(Struct):
) as (ctx, first): ) as (ctx, first):
# unblock once the remote context has started # unblock once the remote context has started
task_status.started((cs, first)) complete = trio.Event()
task_status.started((cs, complete, first))
log.info( log.info(
f'`pikerd` service {name} started with value {first}' f'`pikerd` service {name} started with value {first}'
) )
try: try:
# wait on any context's return value # wait on any context's return value
# and any final portal result from the
# sub-actor.
ctx_res = await ctx.result() ctx_res = await ctx.result()
except tractor.ContextCancelled:
return await self.cancel_service(name) # NOTE: blocks indefinitely until cancelled
else: # either by error from the target context
# wait on any error from the sub-actor # function or by being cancelled here by the
# NOTE: this will block indefinitely until # surrounding cancel scope.
# cancelled either by error from the target
# context function or by being cancelled here by
# the surrounding cancel scope
return (await portal.result(), ctx_res) return (await portal.result(), ctx_res)
cs, first = await self.service_n.start(open_context_in_task) finally:
await portal.cancel_actor()
complete.set()
self.service_tasks.pop(name)
cs, complete, first = await self.service_n.start(open_context_in_task)
# store the cancel scope and portal for later cancellation or # store the cancel scope and portal for later cancellation or
# retstart if needed. # retstart if needed.
self.service_tasks[name] = (cs, portal) self.service_tasks[name] = (cs, portal, complete)
return cs, first return cs, first
# TODO: per service cancellation by scope, we aren't using this @classmethod
# anywhere right?
async def cancel_service( async def cancel_service(
self, self,
name: str, name: str,
) -> Any: ) -> Any:
'''
Cancel the service task and actor for the given ``name``.
'''
log.info(f'Cancelling `pikerd` service {name}') log.info(f'Cancelling `pikerd` service {name}')
cs, portal = self.service_tasks[name] cs, portal, complete = self.service_tasks[name]
# XXX: not entirely sure why this is required,
# and should probably be better fine tuned in
# ``tractor``?
cs.cancel() cs.cancel()
return await portal.cancel_actor() await complete.wait()
assert name not in self.service_tasks, \
f'Serice task for {name} not terminated?'
_services: Optional[Services] = None
@acm
async def open_pikerd(
start_method: str = 'trio',
loglevel: Optional[str] = None,
# XXX: you should pretty much never want debug mode
# for data daemons when running in production.
debug_mode: bool = False,
registry_addr: None | tuple[str, int] = None,
) -> Optional[tractor._portal.Portal]:
'''
Start a root piker daemon who's lifetime extends indefinitely
until cancelled.
A root actor nursery is created which can be used to create and keep
alive underling services (see below).
'''
global _services
global _registry_addr
if (
_registry_addr is None
or registry_addr
):
_registry_addr = registry_addr or _default_reg_addr
# XXX: this may open a root actor as well
async with (
tractor.open_root_actor(
# passed through to ``open_root_actor``
arbiter_addr=_registry_addr,
name=_root_dname,
loglevel=loglevel,
debug_mode=debug_mode,
start_method=start_method,
# TODO: eventually we should be able to avoid
# having the root have more then permissions to
# spawn other specialized daemons I think?
enable_modules=_root_modules,
) as _,
tractor.open_nursery() as actor_nursery,
):
async with trio.open_nursery() as service_nursery:
# # setup service mngr singleton instance
# async with AsyncExitStack() as stack:
# assign globally for future daemon/task creation
_services = Services(
actor_n=actor_nursery,
service_n=service_nursery,
debug_mode=debug_mode,
)
yield _services
@acm @acm
async def open_piker_runtime( async def open_piker_runtime(
name: str, name: str,
enable_modules: list[str] = [], enable_modules: list[str] = [],
start_method: str = 'trio',
loglevel: Optional[str] = None, loglevel: Optional[str] = None,
# XXX: you should pretty much never want debug mode # XXX NOTE XXX: you should pretty much never want debug mode
# for data daemons when running in production. # for data daemons when running in production.
debug_mode: bool = False, debug_mode: bool = False,
registry_addr: None | tuple[str, int] = None, registry_addr: None | tuple[str, int] = None,
) -> tractor.Actor: # TODO: once we have `rsyscall` support we will read a config
# and spawn the service tree distributed per that.
start_method: str = 'trio',
tractor_kwargs: dict = {},
) -> tuple[
tractor.Actor,
tuple[str, int],
]:
''' '''
Start a piker actor who's runtime will automatically sync with Start a piker actor who's runtime will automatically sync with
existing piker actors on the local link based on configuration. existing piker actors on the local link based on configuration.
Can be called from a subactor or any program that needs to start
a root actor.
''' '''
global _services try:
global _registry_addr # check for existing runtime
actor = tractor.current_actor().uid
if ( except tractor._exceptions.NoRuntime:
_registry_addr is None
or registry_addr registry_addr = registry_addr or _default_reg_addr
):
_registry_addr = registry_addr or _default_reg_addr
# XXX: this may open a root actor as well
async with ( async with (
tractor.open_root_actor( tractor.open_root_actor(
# passed through to ``open_root_actor`` # passed through to ``open_root_actor``
arbiter_addr=_registry_addr, arbiter_addr=registry_addr,
name=name, name=name,
loglevel=loglevel, loglevel=loglevel,
debug_mode=debug_mode, debug_mode=debug_mode,
@ -240,10 +292,74 @@ async def open_piker_runtime(
# TODO: eventually we should be able to avoid # TODO: eventually we should be able to avoid
# having the root have more then permissions to # having the root have more then permissions to
# spawn other specialized daemons I think? # spawn other specialized daemons I think?
enable_modules=_root_modules + enable_modules, enable_modules=enable_modules,
**tractor_kwargs,
) as _, ) as _,
open_registry(registry_addr, ensure_exists=False) as addr,
): ):
yield tractor.current_actor() yield (
tractor.current_actor(),
addr,
)
else:
async with open_registry(registry_addr) as addr:
yield (
actor,
addr,
)
@acm
async def open_pikerd(
loglevel: str | None = None,
# XXX: you should pretty much never want debug mode
# for data daemons when running in production.
debug_mode: bool = False,
registry_addr: None | tuple[str, int] = None,
) -> Services:
'''
Start a root piker daemon who's lifetime extends indefinitely until
cancelled.
A root actor nursery is created which can be used to create and keep
alive underling services (see below).
'''
async with (
open_piker_runtime(
name=_root_dname,
# TODO: eventually we should be able to avoid
# having the root have more then permissions to
# spawn other specialized daemons I think?
enable_modules=_root_modules,
loglevel=loglevel,
debug_mode=debug_mode,
registry_addr=registry_addr,
) as (root_actor, reg_addr),
tractor.open_nursery() as actor_nursery,
trio.open_nursery() as service_nursery,
):
assert root_actor.accept_addr == reg_addr
# assign globally for future daemon/task creation
Services.actor_n = actor_nursery
Services.service_n = service_nursery
Services.debug_mode = debug_mode
try:
yield Services
finally:
# TODO: is this more clever/efficient?
# if 'samplerd' in Services.service_tasks:
# await Services.cancel_service('samplerd')
service_nursery.cancel_scope.cancel()
@acm @acm
@ -252,51 +368,67 @@ async def maybe_open_runtime(
**kwargs, **kwargs,
) -> None: ) -> None:
""" '''
Start the ``tractor`` runtime (a root actor) if none exists. Start the ``tractor`` runtime (a root actor) if none exists.
""" '''
settings = _tractor_kwargs name = kwargs.pop('name')
settings.update(kwargs)
if not tractor.current_actor(err_on_no_runtime=False): if not tractor.current_actor(err_on_no_runtime=False):
async with tractor.open_root_actor( async with open_piker_runtime(
name,
loglevel=loglevel, loglevel=loglevel,
**settings, **kwargs,
): ) as (_, addr):
yield yield addr,
else: else:
yield async with open_registry() as addr:
yield addr
@acm @acm
async def maybe_open_pikerd( async def maybe_open_pikerd(
loglevel: Optional[str] = None, loglevel: Optional[str] = None,
registry_addr: None | tuple = None, registry_addr: None | tuple = None,
**kwargs, **kwargs,
) -> Union[tractor._portal.Portal, Services]: ) -> tractor._portal.Portal | ClassVar[Services]:
"""If no ``pikerd`` daemon-root-actor can be found start it and '''
If no ``pikerd`` daemon-root-actor can be found start it and
yield up (we should probably figure out returning a portal to self yield up (we should probably figure out returning a portal to self
though). though).
""" '''
if loglevel: if loglevel:
get_console_log(loglevel) get_console_log(loglevel)
# subtle, we must have the runtime up here or portal lookup will fail # subtle, we must have the runtime up here or portal lookup will fail
query_name = kwargs.pop('name', f'piker_query_{os.getpid()}')
# TODO: if we need to make the query part faster we could not init
# an actor runtime and instead just hit the socket?
# from tractor._ipc import _connect_chan, Channel
# async with _connect_chan(host, port) as chan:
# async with open_portal(chan) as arb_portal:
# yield arb_portal
async with ( async with (
maybe_open_runtime(loglevel, **kwargs), open_piker_runtime(
tractor.find_actor(_root_dname) as portal name=query_name,
registry_addr=registry_addr,
loglevel=loglevel,
**kwargs,
) as _,
tractor.find_actor(
_root_dname,
arbiter_sockaddr=registry_addr,
) as portal
): ):
# connect to any existing daemon presuming # connect to any existing daemon presuming
# its registry socket was selected. # its registry socket was selected.
if ( if (
portal is not None portal is not None
and (
registry_addr is None
or portal.channel.raddr == registry_addr
)
): ):
yield portal yield portal
return return
@ -304,19 +436,21 @@ async def maybe_open_pikerd(
# presume pikerd role since no daemon could be found at # presume pikerd role since no daemon could be found at
# configured address # configured address
async with open_pikerd( async with open_pikerd(
loglevel=loglevel, loglevel=loglevel,
debug_mode=kwargs.get('debug_mode', False), debug_mode=kwargs.get('debug_mode', False),
registry_addr=registry_addr, registry_addr=registry_addr,
) as _: ) as service_manager:
# in the case where we're starting up the # in the case where we're starting up the
# tractor-piker runtime stack in **this** process # tractor-piker runtime stack in **this** process
# we return no portal to self. # we return no portal to self.
yield None assert service_manager
yield service_manager
# brokerd enabled modules # `brokerd` enabled modules
# NOTE: keeping this list as small as possible is part of our caps-sec
# model and should be treated with utmost care!
_data_mods = [ _data_mods = [
'piker.brokers.core', 'piker.brokers.core',
'piker.brokers.data', 'piker.brokers.data',
@ -326,20 +460,17 @@ _data_mods = [
] ]
class Brokerd:
locks = defaultdict(trio.Lock)
@acm @acm
async def find_service( async def find_service(
service_name: str, service_name: str,
) -> Optional[tractor.Portal]: ) -> tractor.Portal | None:
async with open_registry() as reg_addr:
log.info(f'Scanning for service `{service_name}`') log.info(f'Scanning for service `{service_name}`')
# attach to existing daemon by name if possible # attach to existing daemon by name if possible
async with tractor.find_actor( async with tractor.find_actor(
service_name, service_name,
arbiter_sockaddr=_registry_addr, arbiter_sockaddr=reg_addr,
) as maybe_portal: ) as maybe_portal:
yield maybe_portal yield maybe_portal
@ -347,14 +478,15 @@ async def find_service(
async def check_for_service( async def check_for_service(
service_name: str, service_name: str,
) -> bool: ) -> None | tuple[str, int]:
''' '''
Service daemon "liveness" predicate. Service daemon "liveness" predicate.
''' '''
async with open_registry(ensure_exists=False) as reg_addr:
async with tractor.query_actor( async with tractor.query_actor(
service_name, service_name,
arbiter_sockaddr=_registry_addr, arbiter_sockaddr=reg_addr,
) as sockaddr: ) as sockaddr:
return sockaddr return sockaddr
@ -366,6 +498,8 @@ async def maybe_spawn_daemon(
service_task_target: Callable, service_task_target: Callable,
spawn_args: dict[str, Any], spawn_args: dict[str, Any],
loglevel: Optional[str] = None, loglevel: Optional[str] = None,
singleton: bool = False,
**kwargs, **kwargs,
) -> tractor.Portal: ) -> tractor.Portal:
@ -386,7 +520,7 @@ async def maybe_spawn_daemon(
# serialize access to this section to avoid # serialize access to this section to avoid
# 2 or more tasks racing to create a daemon # 2 or more tasks racing to create a daemon
lock = Brokerd.locks[service_name] lock = Services.locks[service_name]
await lock.acquire() await lock.acquire()
async with find_service(service_name) as portal: async with find_service(service_name) as portal:
@ -397,6 +531,9 @@ async def maybe_spawn_daemon(
log.warning(f"Couldn't find any existing {service_name}") log.warning(f"Couldn't find any existing {service_name}")
# TODO: really shouldn't the actor spawning be part of the service
# starting method `Services.start_service()` ?
# ask root ``pikerd`` daemon to spawn the daemon we need if # ask root ``pikerd`` daemon to spawn the daemon we need if
# pikerd is not live we now become the root of the # pikerd is not live we now become the root of the
# process tree # process tree
@ -407,7 +544,6 @@ async def maybe_spawn_daemon(
) as pikerd_portal: ) as pikerd_portal:
if pikerd_portal is None:
# we are the root and thus are `pikerd` # we are the root and thus are `pikerd`
# so spawn the target service directly by calling # so spawn the target service directly by calling
# the provided target routine. # the provided target routine.
@ -415,7 +551,9 @@ async def maybe_spawn_daemon(
# do the right things to setup both a sub-actor **and** call # do the right things to setup both a sub-actor **and** call
# the ``_Services`` api from above to start the top level # the ``_Services`` api from above to start the top level
# service task for that actor. # service task for that actor.
await service_task_target(**spawn_args) started: bool
if pikerd_portal is None:
started = await service_task_target(**spawn_args)
else: else:
# tell the remote `pikerd` to start the target, # tell the remote `pikerd` to start the target,
@ -424,11 +562,14 @@ async def maybe_spawn_daemon(
# non-blocking and the target task will persist running # non-blocking and the target task will persist running
# on `pikerd` after the client requesting it's start # on `pikerd` after the client requesting it's start
# disconnects. # disconnects.
await pikerd_portal.run( started = await pikerd_portal.run(
service_task_target, service_task_target,
**spawn_args, **spawn_args,
) )
if started:
log.info(f'Service {service_name} started!')
async with tractor.wait_for_actor(service_name) as portal: async with tractor.wait_for_actor(service_name) as portal:
lock.release() lock.release()
yield portal yield portal
@ -451,9 +592,6 @@ async def spawn_brokerd(
extra_tractor_kwargs = getattr(brokermod, '_spawn_kwargs', {}) extra_tractor_kwargs = getattr(brokermod, '_spawn_kwargs', {})
tractor_kwargs.update(extra_tractor_kwargs) tractor_kwargs.update(extra_tractor_kwargs)
global _services
assert _services
# 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__ modpath = brokermod.__name__
@ -466,18 +604,18 @@ async def spawn_brokerd(
subpath = f'{modpath}.{submodname}' subpath = f'{modpath}.{submodname}'
broker_enable.append(subpath) broker_enable.append(subpath)
portal = await _services.actor_n.start_actor( portal = await Services.actor_n.start_actor(
dname, dname,
enable_modules=_data_mods + broker_enable, enable_modules=_data_mods + broker_enable,
loglevel=loglevel, loglevel=loglevel,
debug_mode=_services.debug_mode, debug_mode=Services.debug_mode,
**tractor_kwargs **tractor_kwargs
) )
# non-blocking setup of brokerd service nursery # non-blocking setup of brokerd service nursery
from .data import _setup_persistent_brokerd from .data import _setup_persistent_brokerd
await _services.start_service_task( await Services.start_service_task(
dname, dname,
portal, portal,
_setup_persistent_brokerd, _setup_persistent_brokerd,
@ -523,24 +661,21 @@ async def spawn_emsd(
""" """
log.info('Spawning emsd') log.info('Spawning emsd')
global _services portal = await Services.actor_n.start_actor(
assert _services
portal = await _services.actor_n.start_actor(
'emsd', 'emsd',
enable_modules=[ enable_modules=[
'piker.clearing._ems', 'piker.clearing._ems',
'piker.clearing._client', 'piker.clearing._client',
], ],
loglevel=loglevel, loglevel=loglevel,
debug_mode=_services.debug_mode, # set by pikerd flag debug_mode=Services.debug_mode, # set by pikerd flag
**extra_tractor_kwargs **extra_tractor_kwargs
) )
# non-blocking setup of clearing service # non-blocking setup of clearing service
from .clearing._ems import _setup_persistent_emsd from .clearing._ems import _setup_persistent_emsd
await _services.start_service_task( await Services.start_service_task(
'emsd', 'emsd',
portal, portal,
_setup_persistent_emsd, _setup_persistent_emsd,
@ -567,25 +702,3 @@ async def maybe_open_emsd(
) as portal: ) as portal:
yield portal yield portal
# TODO: ideally we can start the tsdb "on demand" but it's
# probably going to require "rootless" docker, at least if we don't
# want to expect the user to start ``pikerd`` with root perms all the
# time.
# async def maybe_open_marketstored(
# loglevel: Optional[str] = None,
# **kwargs,
# ) -> tractor._portal.Portal: # noqa
# async with maybe_spawn_daemon(
# 'marketstored',
# service_task_target=spawn_emsd,
# spawn_args={'loglevel': loglevel},
# loglevel=loglevel,
# **kwargs,
# ) as portal:
# yield portal

6
piker/clearing/__init__.py
View File

@ -18,3 +18,9 @@
Market machinery for order executions, book, management. Market machinery for order executions, book, management.
""" """
from ._client import open_ems
__all__ = [
'open_ems',
]

30
piker/clearing/_client.py
View File

@ -18,8 +18,10 @@
Orders and execution client API. Orders and execution client API.
""" """
from __future__ import annotations
from contextlib import asynccontextmanager as acm from contextlib import asynccontextmanager as acm
from pprint import pformat from pprint import pformat
from typing import TYPE_CHECKING
import trio import trio
import tractor import tractor
@ -27,11 +29,16 @@ from tractor.trionics import broadcast_receiver
from ..log import get_logger from ..log import get_logger
from ..data.types import Struct from ..data.types import Struct
from ._ems import _emsd_main
from .._daemon import maybe_open_emsd from .._daemon import maybe_open_emsd
from ._messages import Order, Cancel from ._messages import Order, Cancel
from ..brokers import get_brokermod from ..brokers import get_brokermod
if TYPE_CHECKING:
from ._messages import (
BrokerdPosition,
Status,
)
log = get_logger(__name__) log = get_logger(__name__)
@ -167,12 +174,19 @@ async def relay_order_cmds_from_sync_code(
@acm @acm
async def open_ems( async def open_ems(
fqsn: str, fqsn: str,
mode: str = 'live',
) -> ( ) -> tuple[
OrderBook, OrderBook,
tractor.MsgStream, tractor.MsgStream,
dict, dict[
): # brokername, acctid
tuple[str, str],
list[BrokerdPosition],
],
list[str],
dict[str, Status],
]:
''' '''
Spawn an EMS daemon and begin sending orders and receiving Spawn an EMS daemon and begin sending orders and receiving
alerts. alerts.
@ -213,14 +227,16 @@ async def open_ems(
from ..data._source import unpack_fqsn from ..data._source import unpack_fqsn
broker, symbol, suffix = unpack_fqsn(fqsn) broker, symbol, suffix = unpack_fqsn(fqsn)
mode: str = 'live'
async with maybe_open_emsd(broker) as portal: async with maybe_open_emsd(broker) as portal:
mod = get_brokermod(broker) mod = get_brokermod(broker)
if not getattr(mod, 'trades_dialogue', None): if (
not getattr(mod, 'trades_dialogue', None)
or mode == 'paper'
):
mode = 'paper' mode = 'paper'
from ._ems import _emsd_main
async with ( async with (
# connect to emsd # connect to emsd
portal.open_context( portal.open_context(

15
piker/clearing/_ems.py
View File

@ -172,6 +172,7 @@ async def clear_dark_triggers(
# TODO: # TODO:
# - numba all this! # - numba all this!
# - this stream may eventually contain multiple symbols # - this stream may eventually contain multiple symbols
quote_stream._raise_on_lag = False
async for quotes in quote_stream: async for quotes in quote_stream:
# start = time.time() # start = time.time()
for sym, quote in quotes.items(): for sym, quote in quotes.items():
@ -417,7 +418,7 @@ class Router(Struct):
# load the paper trading engine # load the paper trading engine
exec_mode = 'paper' exec_mode = 'paper'
log.warning(f'Entering paper trading mode for {broker}') log.info(f'{broker}: Entering `paper` trading mode')
# load the paper trading engine as a subactor of this emsd # load the paper trading engine as a subactor of this emsd
# actor to simulate the real IPC load it'll have when also # actor to simulate the real IPC load it'll have when also
@ -866,7 +867,7 @@ async def translate_and_relay_brokerd_events(
elif status == 'canceled': elif status == 'canceled':
log.cancel(f'Cancellation for {oid} is complete!') log.cancel(f'Cancellation for {oid} is complete!')
status_msg = book._active.pop(oid) status_msg = book._active.pop(oid, None)
else: # open else: # open
# relayed from backend but probably not handled so # relayed from backend but probably not handled so
@ -1366,7 +1367,15 @@ async def _emsd_main(
exec_mode: str, # ('paper', 'live') exec_mode: str, # ('paper', 'live')
loglevel: str = 'info', loglevel: str = 'info',
) -> None: ) -> tuple[
dict[
# brokername, acctid
tuple[str, str],
list[BrokerdPosition],
],
list[str],
dict[str, Status],
]:
''' '''
EMS (sub)actor entrypoint providing the execution management EMS (sub)actor entrypoint providing the execution management
(micro)service which conducts broker order clearing control on (micro)service which conducts broker order clearing control on

19
piker/cli/__init__.py
View File

@ -28,7 +28,6 @@ import tractor
from ..log import get_console_log, get_logger, colorize_json from ..log import get_console_log, get_logger, colorize_json
from ..brokers import get_brokermod from ..brokers import get_brokermod
from .._daemon import ( from .._daemon import (
_tractor_kwargs,
_default_registry_host, _default_registry_host,
_default_registry_port, _default_registry_port,
) )
@ -176,20 +175,30 @@ def cli(
@cli.command() @cli.command()
@click.option('--tl', is_flag=True, help='Enable tractor logging') @click.option('--tl', is_flag=True, help='Enable tractor logging')
@click.argument('names', nargs=-1, required=False) @click.argument('ports', nargs=-1, required=False)
@click.pass_obj @click.pass_obj
def services(config, tl, names): def services(config, tl, ports):
from .._daemon import open_piker_runtime from .._daemon import (
open_piker_runtime,
_default_registry_port,
_default_registry_host,
)
host = _default_registry_host
if not ports:
ports = [_default_registry_port]
async def list_services(): async def list_services():
nonlocal host
async with ( async with (
open_piker_runtime( open_piker_runtime(
name='service_query', name='service_query',
loglevel=config['loglevel'] if tl else None, loglevel=config['loglevel'] if tl else None,
), ),
tractor.get_arbiter( tractor.get_arbiter(
*_tractor_kwargs['arbiter_addr'] host=host,
port=ports[0]
) as portal ) as portal
): ):
registry = await portal.run_from_ns('self', 'get_registry') registry = await portal.run_from_ns('self', 'get_registry')

44
piker/data/__init__.py
View File

@ -22,6 +22,12 @@ and storing data from your brokers as well as
sharing live streams over a network. sharing live streams over a network.
""" """
import tractor
import trio
from ..log import (
get_console_log,
)
from ._normalize import iterticks from ._normalize import iterticks
from ._sharedmem import ( from ._sharedmem import (
maybe_open_shm_array, maybe_open_shm_array,
@ -32,7 +38,6 @@ from ._sharedmem import (
) )
from .feed import ( from .feed import (
open_feed, open_feed,
_setup_persistent_brokerd,
) )
@ -44,5 +49,40 @@ __all__ = [
'attach_shm_array', 'attach_shm_array',
'open_shm_array', 'open_shm_array',
'get_shm_token', 'get_shm_token',
'_setup_persistent_brokerd',
] ]
@tractor.context
async def _setup_persistent_brokerd(
ctx: tractor.Context,
brokername: str,
) -> None:
'''
Allocate a actor-wide service nursery in ``brokerd``
such that feeds can be run in the background persistently by
the broker backend as needed.
'''
get_console_log(tractor.current_actor().loglevel)
from .feed import (
_bus,
get_feed_bus,
)
global _bus
assert not _bus
async with trio.open_nursery() as service_nursery:
# assign a nursery to the feeds bus for spawning
# background tasks from clients
get_feed_bus(brokername, service_nursery)
# unblock caller
await ctx.started()
# we pin this task to keep the feeds manager active until the
# parent actor decides to tear it down
await trio.sleep_forever()

571
piker/data/_sampling.py
View File

@ -20,58 +20,96 @@ financial data flows.
""" """
from __future__ import annotations from __future__ import annotations
from collections import Counter from collections import (
Counter,
defaultdict,
)
from contextlib import asynccontextmanager as acm
import time import time
from typing import ( from typing import (
AsyncIterator,
TYPE_CHECKING, TYPE_CHECKING,
) )
import tractor import tractor
from tractor.trionics import (
maybe_open_nursery,
)
import trio import trio
from trio_typing import TaskStatus from trio_typing import TaskStatus
from ..log import get_logger from ..log import (
get_logger,
get_console_log,
)
from .._daemon import maybe_spawn_daemon
if TYPE_CHECKING: if TYPE_CHECKING:
from ._sharedmem import ShmArray from ._sharedmem import (
ShmArray,
)
from .feed import _FeedsBus from .feed import _FeedsBus
log = get_logger(__name__) log = get_logger(__name__)
# highest frequency sample step is 1 second by default, though in
# the future we may want to support shorter periods or a dynamic style
# tick-event stream.
_default_delay_s: float = 1.0 _default_delay_s: float = 1.0
class sampler: class Sampler:
''' '''
Global sampling engine registry. Global sampling engine registry.
Manages state for sampling events, shm incrementing and Manages state for sampling events, shm incrementing and
sample period logic. sample period logic.
This non-instantiated type is meant to be a singleton within
a `samplerd` actor-service spawned once by the user wishing to
time-step sample real-time quote feeds, see
``._daemon.maybe_open_samplerd()`` and the below
``register_with_sampler()``.
''' '''
service_nursery: None | trio.Nursery = None
# TODO: we could stick these in a composed type to avoid # TODO: we could stick these in a composed type to avoid
# angering the "i hate module scoped variables crowd" (yawn). # angering the "i hate module scoped variables crowd" (yawn).
ohlcv_shms: dict[int, list[ShmArray]] = {} ohlcv_shms: dict[float, list[ShmArray]] = {}
# holds one-task-per-sample-period tasks which are spawned as-needed by # holds one-task-per-sample-period tasks which are spawned as-needed by
# data feed requests with a given detected time step usually from # data feed requests with a given detected time step usually from
# history loading. # history loading.
incrementers: dict[int, trio.CancelScope] = {} incr_task_cs: trio.CancelScope | None = None
# holds all the ``tractor.Context`` remote subscriptions for # holds all the ``tractor.Context`` remote subscriptions for
# a particular sample period increment event: all subscribers are # a particular sample period increment event: all subscribers are
# notified on a step. # notified on a step.
subscribers: dict[int, tractor.Context] = {} # subscribers: dict[int, list[tractor.MsgStream]] = {}
subscribers: defaultdict[
float,
list[
float,
set[tractor.MsgStream]
],
] = defaultdict(
lambda: [
round(time.time()),
set(),
]
)
@classmethod
async def increment_ohlc_buffer( async def increment_ohlc_buffer(
delay_s: int, self,
period_s: float,
task_status: TaskStatus[trio.CancelScope] = trio.TASK_STATUS_IGNORED, task_status: TaskStatus[trio.CancelScope] = trio.TASK_STATUS_IGNORED,
): ):
''' '''
Task which inserts new bars into the provide shared memory array Task which inserts new bars into the provide shared memory array
every ``delay_s`` seconds. every ``period_s`` seconds.
This task fulfills 2 purposes: This task fulfills 2 purposes:
- it takes the subscribed set of shm arrays and increments them - it takes the subscribed set of shm arrays and increments them
@ -83,103 +121,143 @@ async def increment_ohlc_buffer(
the underlying buffers will actually be incremented. the underlying buffers will actually be incremented.
''' '''
# # wait for brokerd to signal we should start sampling
# await shm_incrementing(shm_token['shm_name']).wait()
# TODO: right now we'll spin printing bars if the last time stamp is # TODO: right now we'll spin printing bars if the last time stamp is
# before a large period of no market activity. Likely the best way # before a large period of no market activity. Likely the best way
# to solve this is to make this task aware of the instrument's # to solve this is to make this task aware of the instrument's
# tradable hours? # tradable hours?
# adjust delay to compensate for trio processing time total_s: float = 0 # total seconds counted
ad = min(sampler.ohlcv_shms.keys()) - 0.001 ad = period_s - 0.001 # compensate for trio processing time
total_s = 0 # total seconds counted
lowest = min(sampler.ohlcv_shms.keys())
lowest_shm = sampler.ohlcv_shms[lowest][0]
ad = lowest - 0.001
with trio.CancelScope() as cs: with trio.CancelScope() as cs:
# register this time period step as active # register this time period step as active
sampler.incrementers[delay_s] = cs
task_status.started(cs) task_status.started(cs)
# sample step loop:
# includes broadcasting to all connected consumers on every
# new sample step as well incrementing any registered
# buffers by registered sample period.
while True: while True:
# TODO: do we want to support dynamically
# adding a "lower" lowest increment period?
await trio.sleep(ad) await trio.sleep(ad)
total_s += delay_s total_s += period_s
# increment all subscribed shm arrays # increment all subscribed shm arrays
# TODO: # TODO:
# - this in ``numba`` # - this in ``numba``
# - just lookup shms for this step instead of iterating? # - just lookup shms for this step instead of iterating?
for this_delay_s, shms in sampler.ohlcv_shms.items():
i_epoch = round(time.time())
broadcasted: set[float] = set()
# print(f'epoch: {i_epoch} -> REGISTRY {self.ohlcv_shms}')
for shm_period_s, shms in self.ohlcv_shms.items():
# short-circuit on any not-ready because slower sample # short-circuit on any not-ready because slower sample
# rate consuming shm buffers. # rate consuming shm buffers.
if total_s % this_delay_s != 0: if total_s % shm_period_s != 0:
# print(f'skipping `{this_delay_s}s` sample update') # print(f'skipping `{shm_period_s}s` sample update')
continue continue
# update last epoch stamp for this period group
if shm_period_s not in broadcasted:
sub_pair = self.subscribers[shm_period_s]
sub_pair[0] = i_epoch
broadcasted.add(shm_period_s)
# TODO: ``numba`` this! # TODO: ``numba`` this!
for shm in shms: for shm in shms:
# TODO: in theory we could make this faster by copying the # print(f'UPDATE {shm_period_s}s STEP for {shm.token}')
# "last" readable value into the underlying larger buffer's
# next value and then incrementing the counter instead of
# using ``.push()``?
# append new entry to buffer thus "incrementing" the bar # append new entry to buffer thus "incrementing"
# the bar
array = shm.array array = shm.array
last = array[-1:][shm._write_fields].copy() last = array[-1:][shm._write_fields].copy()
# (index, t, close) = last[0][['index', 'time', 'close']]
(t, close) = last[0][['time', 'close']]
# this copies non-std fields (eg. vwap) from the last datum # guard against startup backfilling races where
last[ # the buffer has not yet been filled.
['time', 'volume', 'open', 'high', 'low', 'close'] if not last.size:
][0] = (t + this_delay_s, 0, close, close, close, close) continue
(t, close) = last[0][[
'time',
'close',
]]
next_t = t + shm_period_s
if shm_period_s <= 1:
next_t = i_epoch
# this copies non-std fields (eg. vwap) from the
# last datum
last[[
'time',
'open',
'high',
'low',
'close',
'volume',
]][0] = (
# epoch timestamp
next_t,
# OHLC
close,
close,
close,
close,
0, # vlm
)
# TODO: in theory we could make this faster by
# copying the "last" readable value into the
# underlying larger buffer's next value and then
# incrementing the counter instead of using
# ``.push()``?
# write to the buffer # write to the buffer
shm.push(last) shm.push(last)
await broadcast(delay_s, shm=lowest_shm) # broadcast increment msg to all updated subs per period
for shm_period_s in broadcasted:
await self.broadcast(
period_s=shm_period_s,
time_stamp=i_epoch,
)
@classmethod
async def broadcast(
self,
period_s: float,
time_stamp: float | None = None,
async def broadcast( ) -> None:
delay_s: int,
shm: ShmArray | None = None,
) -> None:
''' '''
Broadcast the given ``shm: ShmArray``'s buffer index step to any Broadcast the period size and last index step value to all
subscribers for a given sample period. subscribers for a given sample period.
The sent msg will include the first and last index which slice into
the buffer's non-empty data.
''' '''
subs = sampler.subscribers.get(delay_s, ()) pair = self.subscribers[period_s]
first = last = -1
if shm is None: last_ts, subs = pair
periods = sampler.ohlcv_shms.keys()
# if this is an update triggered by a history update there
# might not actually be any sampling bus setup since there's
# no "live feed" active yet.
if periods:
lowest = min(periods)
shm = sampler.ohlcv_shms[lowest][0]
first = shm._first.value
last = shm._last.value
task = trio.lowlevel.current_task()
log.debug(
f'SUBS {self.subscribers}\n'
f'PAIR {pair}\n'
f'TASK: {task}: {id(task)}\n'
f'broadcasting {period_s} -> {last_ts}\n'
# f'consumers: {subs}'
)
borked: set[tractor.MsgStream] = set()
for stream in subs: for stream in subs:
try: try:
await stream.send({ await stream.send({
'first': first, 'index': time_stamp or last_ts,
'last': last, 'period': period_s,
'index': last,
}) })
except ( except (
trio.BrokenResourceError, trio.BrokenResourceError,
@ -188,6 +266,9 @@ async def broadcast(
log.error( log.error(
f'{stream._ctx.chan.uid} dropped connection' f'{stream._ctx.chan.uid} dropped connection'
) )
borked.add(stream)
for stream in borked:
try: try:
subs.remove(stream) subs.remove(stream)
except ValueError: except ValueError:
@ -195,35 +276,227 @@ async def broadcast(
f'{stream._ctx.chan.uid} sub already removed!?' f'{stream._ctx.chan.uid} sub already removed!?'
) )
@classmethod
async def broadcast_all(self) -> None:
for period_s in self.subscribers:
await self.broadcast(period_s)
@tractor.context @tractor.context
async def iter_ohlc_periods( async def register_with_sampler(
ctx: tractor.Context, ctx: tractor.Context,
delay_s: int, period_s: float,
shms_by_period: dict[float, dict] | None = None,
open_index_stream: bool = True, # open a 2way stream for sample step msgs?
sub_for_broadcasts: bool = True, # sampler side to send step updates?
) -> None: ) -> None:
'''
Subscribe to OHLC sampling "step" events: when the time
aggregation period increments, this event stream emits an index
event.
''' get_console_log(tractor.current_actor().loglevel)
# add our subscription incr_was_started: bool = False
subs = sampler.subscribers.setdefault(delay_s, [])
await ctx.started()
async with ctx.open_stream() as stream:
subs.append(stream)
try: try:
# stream and block until cancelled async with maybe_open_nursery(
await trio.sleep_forever() Sampler.service_nursery
finally: ) as service_nursery:
try:
subs.remove(stream) # init startup, create (actor-)local service nursery and start
except ValueError: # increment task
log.error( Sampler.service_nursery = service_nursery
f'iOHLC step stream was already dropped {ctx.chan.uid}?'
# always ensure a period subs entry exists
last_ts, subs = Sampler.subscribers[float(period_s)]
async with trio.Lock():
if Sampler.incr_task_cs is None:
Sampler.incr_task_cs = await service_nursery.start(
Sampler.increment_ohlc_buffer,
1.,
) )
incr_was_started = True
# insert the base 1s period (for OHLC style sampling) into
# the increment buffer set to update and shift every second.
if shms_by_period is not None:
from ._sharedmem import (
attach_shm_array,
_Token,
)
for period in shms_by_period:
# load and register shm handles
shm_token_msg = shms_by_period[period]
shm = attach_shm_array(
_Token.from_msg(shm_token_msg),
readonly=False,
)
shms_by_period[period] = shm
Sampler.ohlcv_shms.setdefault(period, []).append(shm)
assert Sampler.ohlcv_shms
# unblock caller
await ctx.started(set(Sampler.ohlcv_shms.keys()))
if open_index_stream:
try:
async with ctx.open_stream() as stream:
if sub_for_broadcasts:
subs.add(stream)
# except broadcast requests from the subscriber
async for msg in stream:
if msg == 'broadcast_all':
await Sampler.broadcast_all()
finally:
if sub_for_broadcasts:
subs.remove(stream)
else:
# if no shms are passed in we just wait until cancelled
# by caller.
await trio.sleep_forever()
finally:
# TODO: why tf isn't this working?
if shms_by_period is not None:
for period, shm in shms_by_period.items():
Sampler.ohlcv_shms[period].remove(shm)
if incr_was_started:
Sampler.incr_task_cs.cancel()
Sampler.incr_task_cs = None
async def spawn_samplerd(
loglevel: str | None = None,
**extra_tractor_kwargs
) -> bool:
'''
Daemon-side service task: start a sampling daemon for common step
update and increment count write and stream broadcasting.
'''
from piker._daemon import Services
dname = 'samplerd'
log.info(f'Spawning `{dname}`')
# singleton lock creation of ``samplerd`` since we only ever want
# one daemon per ``pikerd`` proc tree.
# TODO: make this built-into the service api?
async with Services.locks[dname + '_singleton']:
if dname not in Services.service_tasks:
portal = await Services.actor_n.start_actor(
dname,
enable_modules=[
'piker.data._sampling',
],
loglevel=loglevel,
debug_mode=Services.debug_mode, # set by pikerd flag
**extra_tractor_kwargs
)
await Services.start_service_task(
dname,
portal,
register_with_sampler,
period_s=1,
sub_for_broadcasts=False,
)
return True
return False
@acm
async def maybe_open_samplerd(
loglevel: str | None = None,
**kwargs,
) -> tractor._portal.Portal: # noqa
'''
Client-side helper to maybe startup the ``samplerd`` service
under the ``pikerd`` tree.
'''
dname = 'samplerd'
async with maybe_spawn_daemon(
dname,
service_task_target=spawn_samplerd,
spawn_args={'loglevel': loglevel},
loglevel=loglevel,
**kwargs,
) as portal:
yield portal
@acm
async def open_sample_stream(
period_s: float,
shms_by_period: dict[float, dict] | None = None,
open_index_stream: bool = True,
sub_for_broadcasts: bool = True,
cache_key: str | None = None,
allow_new_sampler: bool = True,
) -> AsyncIterator[dict[str, float]]:
'''
Subscribe to OHLC sampling "step" events: when the time aggregation
period increments, this event stream emits an index event.
This is a client-side endpoint that does all the work of ensuring
the `samplerd` actor is up and that mult-consumer-tasks are given
a broadcast stream when possible.
'''
# TODO: wrap this manager with the following to make it cached
# per client-multitasks entry.
# maybe_open_context(
# acm_func=partial(
# portal.open_context,
# register_with_sampler,
# ),
# key=cache_key or period_s,
# )
# if cache_hit:
# # add a new broadcast subscription for the quote stream
# # if this feed is likely already in use
# async with istream.subscribe() as bistream:
# yield bistream
# else:
async with (
# XXX: this should be singleton on a host,
# a lone broker-daemon per provider should be
# created for all practical purposes
maybe_open_samplerd() as portal,
portal.open_context(
register_with_sampler,
**{
'period_s': period_s,
'shms_by_period': shms_by_period,
'open_index_stream': open_index_stream,
'sub_for_broadcasts': sub_for_broadcasts,
},
) as (ctx, first)
):
async with (
ctx.open_stream() as istream,
# TODO: we don't need this task-bcasting right?
# istream.subscribe() as istream,
):
yield istream
async def sample_and_broadcast( async def sample_and_broadcast(
@ -236,7 +509,14 @@ async def sample_and_broadcast(
sum_tick_vlm: bool = True, sum_tick_vlm: bool = True,
) -> None: ) -> None:
'''
`brokerd`-side task which writes latest datum sampled data.
This task is meant to run in the same actor (mem space) as the
`brokerd` real-time quote feed which is being sampled to
a ``ShmArray`` buffer.
'''
log.info("Started shared mem bar writer") log.info("Started shared mem bar writer")
overruns = Counter() overruns = Counter()
@ -273,7 +553,6 @@ async def sample_and_broadcast(
for shm in [rt_shm, hist_shm]: for shm in [rt_shm, hist_shm]:
# update last entry # update last entry
# benchmarked in the 4-5 us range # benchmarked in the 4-5 us range
# for shm in [rt_shm, hist_shm]:
o, high, low, v = shm.array[-1][ o, high, low, v = shm.array[-1][
['open', 'high', 'low', 'volume'] ['open', 'high', 'low', 'volume']
] ]
@ -383,6 +662,7 @@ async def sample_and_broadcast(
trio.ClosedResourceError, trio.ClosedResourceError,
trio.EndOfChannel, trio.EndOfChannel,
): ):
ctx = stream._ctx
chan = ctx.chan chan = ctx.chan
if ctx: if ctx:
log.warning( log.warning(
@ -404,10 +684,63 @@ async def sample_and_broadcast(
) )
# a working tick-type-classes template
_tick_groups = {
'clears': {'trade', 'dark_trade', 'last'},
'bids': {'bid', 'bsize'},
'asks': {'ask', 'asize'},
}
def frame_ticks(
first_quote: dict,
last_quote: dict,
ticks_by_type: dict,
) -> None:
# append quotes since last iteration into the last quote's
# tick array/buffer.
ticks = last_quote.get('ticks')
# TODO: once we decide to get fancy really we should
# have a shared mem tick buffer that is just
# continually filled and the UI just ready from it
# at it's display rate.
if ticks:
# TODO: do we need this any more or can we just
# expect the receiver to unwind the below
# `ticks_by_type: dict`?
# => undwinding would potentially require a
# `dict[str, set | list]` instead with an
# included `'types' field which is an (ordered)
# set of tick type fields in the order which
# types arrived?
first_quote['ticks'].extend(ticks)
# XXX: build a tick-by-type table of lists
# of tick messages. This allows for less
# iteration on the receiver side by allowing for
# a single "latest tick event" look up by
# indexing the last entry in each sub-list.
# tbt = {
# 'types': ['bid', 'asize', 'last', .. '<type_n>'],
# 'bid': [tick0, tick1, tick2, .., tickn],
# 'asize': [tick0, tick1, tick2, .., tickn],
# 'last': [tick0, tick1, tick2, .., tickn],
# ...
# '<type_n>': [tick0, tick1, tick2, .., tickn],
# }
# append in reverse FIFO order for in-order iteration on
# receiver side.
for tick in ticks:
ttype = tick['type']
ticks_by_type[ttype].append(tick)
# TODO: a less naive throttler, here's some snippets: # TODO: a less naive throttler, here's some snippets:
# token bucket by njs: # token bucket by njs:
# https://gist.github.com/njsmith/7ea44ec07e901cb78ebe1dd8dd846cb9 # https://gist.github.com/njsmith/7ea44ec07e901cb78ebe1dd8dd846cb9
async def uniform_rate_send( async def uniform_rate_send(
rate: float, rate: float,
@ -418,6 +751,9 @@ async def uniform_rate_send(
) -> None: ) -> None:
# try not to error-out on overruns of the subscribed (chart) client
stream._ctx._backpressure = True
# TODO: compute the approx overhead latency per cycle # TODO: compute the approx overhead latency per cycle
left_to_sleep = throttle_period = 1/rate - 0.000616 left_to_sleep = throttle_period = 1/rate - 0.000616
@ -427,6 +763,12 @@ async def uniform_rate_send(
diff = 0 diff = 0
task_status.started() task_status.started()
ticks_by_type: defaultdict[
str,
list[dict],
] = defaultdict(list)
clear_types = _tick_groups['clears']
while True: while True:
@ -445,34 +787,17 @@ async def uniform_rate_send(
if not first_quote: if not first_quote:
first_quote = last_quote first_quote = last_quote
# first_quote['tbt'] = ticks_by_type
if (throttle_period - diff) > 0: if (throttle_period - diff) > 0:
# received a quote but the send cycle period hasn't yet # received a quote but the send cycle period hasn't yet
# expired we aren't supposed to send yet so append # expired we aren't supposed to send yet so append
# to the tick frame. # to the tick frame.
frame_ticks(
# append quotes since last iteration into the last quote's first_quote,
# tick array/buffer. last_quote,
ticks = last_quote.get('ticks') ticks_by_type,
)
# XXX: idea for frame type data structure we could
# use on the wire instead of a simple list?
# frames = {
# 'index': ['type_a', 'type_c', 'type_n', 'type_n'],
# 'type_a': [tick0, tick1, tick2, .., tickn],
# 'type_b': [tick0, tick1, tick2, .., tickn],
# 'type_c': [tick0, tick1, tick2, .., tickn],
# ...
# 'type_n': [tick0, tick1, tick2, .., tickn],
# }
# TODO: once we decide to get fancy really we should
# have a shared mem tick buffer that is just
# continually filled and the UI just ready from it
# at it's display rate.
if ticks:
first_quote['ticks'].extend(ticks)
# send cycle isn't due yet so continue waiting # send cycle isn't due yet so continue waiting
continue continue
@ -489,12 +814,35 @@ async def uniform_rate_send(
# received quote ASAP. # received quote ASAP.
sym, first_quote = await quote_stream.receive() sym, first_quote = await quote_stream.receive()
frame_ticks(
first_quote,
first_quote,
ticks_by_type,
)
# we have a quote already so send it now. # we have a quote already so send it now.
with trio.move_on_after(throttle_period) as cs:
while (
not set(ticks_by_type).intersection(clear_types)
):
try:
sym, last_quote = await quote_stream.receive()
except trio.EndOfChannel:
log.exception(f"feed for {stream} ended?")
break
frame_ticks(
first_quote,
last_quote,
ticks_by_type,
)
# measured_rate = 1 / (time.time() - last_send) # measured_rate = 1 / (time.time() - last_send)
# log.info( # log.info(
# f'`{sym}` throttled send hz: {round(measured_rate, ndigits=1)}' # f'`{sym}` throttled send hz: {round(measured_rate, ndigits=1)}'
# ) # )
first_quote['tbt'] = ticks_by_type
# TODO: now if only we could sync this to the display # TODO: now if only we could sync this to the display
# rate timing exactly lul # rate timing exactly lul
@ -520,3 +868,4 @@ async def uniform_rate_send(
first_quote = last_quote = None first_quote = last_quote = None
diff = 0 diff = 0
last_send = time.time() last_send = time.time()
ticks_by_type.clear()

2
piker/data/_web_bs.py
View File

@ -92,7 +92,7 @@ class NoBsWs:
while True: while True:
try: try:
await self._stack.aclose() await self._stack.aclose()
except (DisconnectionTimeout, RuntimeError): except self.recon_errors:
await trio.sleep(0.5) await trio.sleep(0.5)
else: else:
break break

365
piker/data/feed.py
View File

@ -21,14 +21,17 @@ This module is enabled for ``brokerd`` daemons.
""" """
from __future__ import annotations from __future__ import annotations
from collections import defaultdict from collections import (
defaultdict,
Counter,
)
from contextlib import asynccontextmanager as acm from contextlib import asynccontextmanager as acm
from datetime import datetime from datetime import datetime
from functools import partial from functools import partial
import time
from types import ModuleType from types import ModuleType
from typing import ( from typing import (
Any, Any,
AsyncIterator,
AsyncContextManager, AsyncContextManager,
Callable, Callable,
Optional, Optional,
@ -51,16 +54,18 @@ import numpy as np
from ..brokers import get_brokermod from ..brokers import get_brokermod
from ..calc import humanize from ..calc import humanize
from ..log import get_logger, get_console_log from ..log import (
get_logger,
get_console_log,
)
from .._daemon import ( from .._daemon import (
maybe_spawn_brokerd, maybe_spawn_brokerd,
check_for_service, check_for_service,
) )
from .flows import Flume
from ._sharedmem import ( from ._sharedmem import (
maybe_open_shm_array, maybe_open_shm_array,
attach_shm_array,
ShmArray, ShmArray,
_Token,
_secs_in_day, _secs_in_day,
) )
from .ingest import get_ingestormod from .ingest import get_ingestormod
@ -72,13 +77,9 @@ from ._source import (
) )
from ..ui import _search from ..ui import _search
from ._sampling import ( from ._sampling import (
sampler, open_sample_stream,
broadcast,
increment_ohlc_buffer,
iter_ohlc_periods,
sample_and_broadcast, sample_and_broadcast,
uniform_rate_send, uniform_rate_send,
_default_delay_s,
) )
from ..brokers._util import ( from ..brokers._util import (
DataUnavailable, DataUnavailable,
@ -128,7 +129,7 @@ class _FeedsBus(Struct):
target: Awaitable, target: Awaitable,
*args, *args,
) -> None: ) -> trio.CancelScope:
async def start_with_cs( async def start_with_cs(
task_status: TaskStatus[ task_status: TaskStatus[
@ -226,36 +227,6 @@ def get_feed_bus(
return _bus return _bus
@tractor.context
async def _setup_persistent_brokerd(
ctx: tractor.Context,
brokername: str,
) -> None:
'''
Allocate a actor-wide service nursery in ``brokerd``
such that feeds can be run in the background persistently by
the broker backend as needed.
'''
get_console_log(tractor.current_actor().loglevel)
global _bus
assert not _bus
async with trio.open_nursery() as service_nursery:
# assign a nursery to the feeds bus for spawning
# background tasks from clients
get_feed_bus(brokername, service_nursery)
# unblock caller
await ctx.started()
# we pin this task to keep the feeds manager active until the
# parent actor decides to tear it down
await trio.sleep_forever()
def diff_history( def diff_history(
array: np.ndarray, array: np.ndarray,
timeframe: int, timeframe: int,
@ -278,6 +249,7 @@ async def start_backfill(
bfqsn: str, bfqsn: str,
shm: ShmArray, shm: ShmArray,
timeframe: float, timeframe: float,
sampler_stream: tractor.MsgStream,
last_tsdb_dt: Optional[datetime] = None, last_tsdb_dt: Optional[datetime] = None,
storage: Optional[Storage] = None, storage: Optional[Storage] = None,
@ -309,6 +281,25 @@ async def start_backfill(
- pendulum.from_timestamp(times[-2]) - pendulum.from_timestamp(times[-2])
).seconds ).seconds
if step_size_s == 60:
inow = round(time.time())
diff = inow - times[-1]
if abs(diff) > 60:
surr = array[-6:]
diff_in_mins = round(diff/60., ndigits=2)
log.warning(
f'STEP ERROR `{bfqsn}` for period {step_size_s}s:\n'
f'Off by `{diff}` seconds (or `{diff_in_mins}` mins)\n'
'Surrounding 6 time stamps:\n'
f'{list(surr["time"])}\n'
'Here is surrounding 6 samples:\n'
f'{surr}\nn'
)
# uncomment this for a hacker who wants to investigate
# this case manually..
# await tractor.breakpoint()
# frame's worth of sample-period-steps, in seconds # frame's worth of sample-period-steps, in seconds
frame_size_s = len(array) * step_size_s frame_size_s = len(array) * step_size_s
@ -326,8 +317,7 @@ async def start_backfill(
# TODO: *** THIS IS A BUG *** # TODO: *** THIS IS A BUG ***
# we need to only broadcast to subscribers for this fqsn.. # we need to only broadcast to subscribers for this fqsn..
# otherwise all fsps get reset on every chart.. # otherwise all fsps get reset on every chart..
for delay_s in sampler.subscribers: await sampler_stream.send('broadcast_all')
await broadcast(delay_s)
# signal that backfilling to tsdb's end datum is complete # signal that backfilling to tsdb's end datum is complete
bf_done = trio.Event() bf_done = trio.Event()
@ -376,8 +366,9 @@ async def start_backfill(
# erlangs = config.get('erlangs', 1) # erlangs = config.get('erlangs', 1)
# avoid duplicate history frames with a set of datetime frame # avoid duplicate history frames with a set of datetime frame
# starts. # starts and associated counts of how many duplicates we see
starts: set[datetime] = set() # per time stamp.
starts: Counter[datetime] = Counter()
# inline sequential loop where we simply pass the # inline sequential loop where we simply pass the
# last retrieved start dt to the next request as # last retrieved start dt to the next request as
@ -405,14 +396,26 @@ async def start_backfill(
# request loop until the condition is resolved? # request loop until the condition is resolved?
return return
if next_start_dt in starts: if (
next_start_dt in starts
and starts[next_start_dt] <= 6
):
start_dt = min(starts) start_dt = min(starts)
print("SKIPPING DUPLICATE FRAME @ {next_start_dt}") log.warning(
f"{bfqsn}: skipping duplicate frame @ {next_start_dt}"
)
starts[start_dt] += 1
continue continue
elif starts[next_start_dt] > 6:
log.warning(
f'NO-MORE-DATA: backend {mod.name} before {next_start_dt}?'
)
return
# only update new start point if not-yet-seen # only update new start point if not-yet-seen
start_dt = next_start_dt start_dt = next_start_dt
starts.add(start_dt) starts[start_dt] += 1
assert array['time'][0] == start_dt.timestamp() assert array['time'][0] == start_dt.timestamp()
@ -484,8 +487,7 @@ async def start_backfill(
# in the block above to avoid entering new ``frames`` # in the block above to avoid entering new ``frames``
# values while we're pipelining the current ones to # values while we're pipelining the current ones to
# memory... # memory...
for delay_s in sampler.subscribers: await sampler_stream.send('broadcast_all')
await broadcast(delay_s)
# short-circuit (for now) # short-circuit (for now)
bf_done.set() bf_done.set()
@ -496,6 +498,7 @@ async def basic_backfill(
mod: ModuleType, mod: ModuleType,
bfqsn: str, bfqsn: str,
shms: dict[int, ShmArray], shms: dict[int, ShmArray],
sampler_stream: tractor.MsgStream,
) -> None: ) -> None:
@ -513,7 +516,8 @@ async def basic_backfill(
mod, mod,
bfqsn, bfqsn,
shm, shm,
timeframe=timeframe, timeframe,
sampler_stream,
) )
) )
except DataUnavailable: except DataUnavailable:
@ -529,6 +533,7 @@ async def tsdb_backfill(
fqsn: str, fqsn: str,
bfqsn: str, bfqsn: str,
shms: dict[int, ShmArray], shms: dict[int, ShmArray],
sampler_stream: tractor.MsgStream,
task_status: TaskStatus[ task_status: TaskStatus[
tuple[ShmArray, ShmArray] tuple[ShmArray, ShmArray]
@ -561,7 +566,8 @@ async def tsdb_backfill(
mod, mod,
bfqsn, bfqsn,
shm, shm,
timeframe=timeframe, timeframe,
sampler_stream,
last_tsdb_dt=last_tsdb_dt, last_tsdb_dt=last_tsdb_dt,
tsdb_is_up=True, tsdb_is_up=True,
storage=storage, storage=storage,
@ -599,10 +605,7 @@ async def tsdb_backfill(
# unblock the feed bus management task # unblock the feed bus management task
# assert len(shms[1].array) # assert len(shms[1].array)
task_status.started(( task_status.started()
shms[60],
shms[1],
))
async def back_load_from_tsdb( async def back_load_from_tsdb(
timeframe: int, timeframe: int,
@ -658,10 +661,10 @@ async def tsdb_backfill(
# Load TSDB history into shm buffer (for display) if there is # Load TSDB history into shm buffer (for display) if there is
# remaining buffer space. # remaining buffer space.
if ( if (
len(tsdb_history) len(tsdb_history)
): ):
# load the first (smaller) bit of history originally loaded # load the first (smaller) bit of history originally loaded
# above from ``Storage.load()``. # above from ``Storage.load()``.
to_push = tsdb_history[-prepend_start:] to_push = tsdb_history[-prepend_start:]
@ -678,26 +681,27 @@ async def tsdb_backfill(
tsdb_last_frame_start = tsdb_history['Epoch'][0] tsdb_last_frame_start = tsdb_history['Epoch'][0]
if timeframe == 1:
times = shm.array['time']
assert (times[1] - times[0]) == 1
# load as much from storage into shm possible (depends on # load as much from storage into shm possible (depends on
# user's shm size settings). # user's shm size settings).
while ( while shm._first.value > 0:
shm._first.value > 0
):
tsdb_history = await storage.read_ohlcv( tsdb_history = await storage.read_ohlcv(
fqsn, fqsn,
end=tsdb_last_frame_start,
timeframe=timeframe, timeframe=timeframe,
end=tsdb_last_frame_start,
) )
# empty query
if not len(tsdb_history):
break
next_start = tsdb_history['Epoch'][0] next_start = tsdb_history['Epoch'][0]
if ( if next_start >= tsdb_last_frame_start:
not len(tsdb_history) # empty query
# no earlier data detected # no earlier data detected
or next_start >= tsdb_last_frame_start
):
break break
else: else:
tsdb_last_frame_start = next_start tsdb_last_frame_start = next_start
@ -725,8 +729,7 @@ async def tsdb_backfill(
# (usually a chart showing graphics for said fsp) # (usually a chart showing graphics for said fsp)
# which tells the chart to conduct a manual full # which tells the chart to conduct a manual full
# graphics loop cycle. # graphics loop cycle.
for delay_s in sampler.subscribers: await sampler_stream.send('broadcast_all')
await broadcast(delay_s)
# TODO: write new data to tsdb to be ready to for next read. # TODO: write new data to tsdb to be ready to for next read.
@ -770,11 +773,14 @@ async def manage_history(
# from tractor._state import _runtime_vars # from tractor._state import _runtime_vars
# port = _runtime_vars['_root_mailbox'][1] # port = _runtime_vars['_root_mailbox'][1]
uid = tractor.current_actor().uid
suffix = '.'.join(uid)
# (maybe) allocate shm array for this broker/symbol which will # (maybe) allocate shm array for this broker/symbol which will
# be used for fast near-term history capture and processing. # be used for fast near-term history capture and processing.
hist_shm, opened = maybe_open_shm_array( hist_shm, opened = maybe_open_shm_array(
# key=f'{fqsn}_hist_p{port}', # key=f'{fqsn}_hist_p{port}',
key=f'{fqsn}_hist', key=f'{fqsn}_hist.{suffix}',
# use any broker defined ohlc dtype: # use any broker defined ohlc dtype:
dtype=getattr(mod, '_ohlc_dtype', base_iohlc_dtype), dtype=getattr(mod, '_ohlc_dtype', base_iohlc_dtype),
@ -792,7 +798,7 @@ async def manage_history(
rt_shm, opened = maybe_open_shm_array( rt_shm, opened = maybe_open_shm_array(
# key=f'{fqsn}_rt_p{port}', # key=f'{fqsn}_rt_p{port}',
key=f'{fqsn}_rt', key=f'{fqsn}_rt.{suffix}',
# use any broker defined ohlc dtype: # use any broker defined ohlc dtype:
dtype=getattr(mod, '_ohlc_dtype', base_iohlc_dtype), dtype=getattr(mod, '_ohlc_dtype', base_iohlc_dtype),
@ -815,6 +821,23 @@ async def manage_history(
"Persistent shm for sym was already open?!" "Persistent shm for sym was already open?!"
) )
# register 1s and 1m buffers with the global incrementer task
async with open_sample_stream(
period_s=1.,
shms_by_period={
1.: rt_shm.token,
60.: hist_shm.token,
},
# NOTE: we want to only open a stream for doing broadcasts on
# backfill operations, not receive the sample index-stream
# (since there's no code in this data feed layer that needs to
# consume it).
open_index_stream=True,
sub_for_broadcasts=False,
) as sample_stream:
log.info('Scanning for existing `marketstored`') log.info('Scanning for existing `marketstored`')
tsdb_is_up = await check_for_service('marketstored') tsdb_is_up = await check_for_service('marketstored')
@ -833,7 +856,8 @@ async def manage_history(
async with ( async with (
marketstore.open_storage_client(fqsn)as storage, marketstore.open_storage_client(fqsn)as storage,
): ):
hist_shm, rt_shm = await bus.nursery.start( # TODO: drop returning the output that we pass in?
await bus.nursery.start(
tsdb_backfill, tsdb_backfill,
mod, mod,
marketstore, marketstore,
@ -845,6 +869,7 @@ async def manage_history(
1: rt_shm, 1: rt_shm,
60: hist_shm, 60: hist_shm,
}, },
sample_stream,
) )
# yield back after client connect with filled shm # yield back after client connect with filled shm
@ -860,9 +885,9 @@ async def manage_history(
# data that can be used. # data that can be used.
some_data_ready.set() some_data_ready.set()
# history retreival loop depending on user interaction and thus # history retreival loop depending on user interaction
# a small RPC-prot for remotely controllinlg what data is loaded # and thus a small RPC-prot for remotely controllinlg
# for viewing. # what data is loaded for viewing.
await trio.sleep_forever() await trio.sleep_forever()
# load less history if no tsdb can be found # load less history if no tsdb can be found
@ -874,10 +899,11 @@ async def manage_history(
bus, bus,
mod, mod,
bfqsn, bfqsn,
shms={ {
1: rt_shm, 1: rt_shm,
60: hist_shm, 60: hist_shm,
}, },
sample_stream,
) )
task_status.started(( task_status.started((
hist_zero_index, hist_zero_index,
@ -889,151 +915,6 @@ async def manage_history(
await trio.sleep_forever() await trio.sleep_forever()
class Flume(Struct):
'''
Composite reference type which points to all the addressing handles
and other meta-data necessary for the read, measure and management
of a set of real-time updated data flows.
Can be thought of as a "flow descriptor" or "flow frame" which
describes the high level properties of a set of data flows that can
be used seamlessly across process-memory boundaries.
Each instance's sub-components normally includes:
- a msg oriented quote stream provided via an IPC transport
- history and real-time shm buffers which are both real-time
updated and backfilled.
- associated startup indexing information related to both buffer
real-time-append and historical prepend addresses.
- low level APIs to read and measure the updated data and manage
queuing properties.
'''
symbol: Symbol
first_quote: dict
_hist_shm_token: _Token
_rt_shm_token: _Token
# private shm refs loaded dynamically from tokens
_hist_shm: ShmArray | None = None
_rt_shm: ShmArray | None = None
stream: tractor.MsgStream | None = None
izero_hist: int = 0
izero_rt: int = 0
throttle_rate: int | None = None
# TODO: do we need this really if we can pull the `Portal` from
# ``tractor``'s internals?
feed: Feed | None = None
@property
def rt_shm(self) -> ShmArray:
if self._rt_shm is None:
self._rt_shm = attach_shm_array(
token=self._rt_shm_token,
readonly=True,
)
return self._rt_shm
@property
def hist_shm(self) -> ShmArray:
if self._hist_shm is None:
self._hist_shm = attach_shm_array(
token=self._hist_shm_token,
readonly=True,
)
return self._hist_shm
async def receive(self) -> dict:
return await self.stream.receive()
@acm
async def index_stream(
self,
delay_s: int = 1,
) -> AsyncIterator[int]:
if not self.feed:
raise RuntimeError('This flume is not part of any ``Feed``?')
# TODO: maybe a public (property) API for this in ``tractor``?
portal = self.stream._ctx._portal
assert portal
# XXX: this should be singleton on a host,
# a lone broker-daemon per provider should be
# created for all practical purposes
async with maybe_open_context(
acm_func=partial(
portal.open_context,
iter_ohlc_periods,
),
kwargs={'delay_s': delay_s},
) as (cache_hit, (ctx, first)):
async with ctx.open_stream() as istream:
if cache_hit:
# add a new broadcast subscription for the quote stream
# if this feed is likely already in use
async with istream.subscribe() as bistream:
yield bistream
else:
yield istream
def get_ds_info(
self,
) -> tuple[float, float, float]:
'''
Compute the "downsampling" ratio info between the historical shm
buffer and the real-time (HFT) one.
Return a tuple of the fast sample period, historical sample
period and ratio between them.
'''
times = self.hist_shm.array['time']
end = pendulum.from_timestamp(times[-1])
start = pendulum.from_timestamp(times[times != times[-1]][-1])
hist_step_size_s = (end - start).seconds
times = self.rt_shm.array['time']
end = pendulum.from_timestamp(times[-1])
start = pendulum.from_timestamp(times[times != times[-1]][-1])
rt_step_size_s = (end - start).seconds
ratio = hist_step_size_s / rt_step_size_s
return (
rt_step_size_s,
hist_step_size_s,
ratio,
)
# TODO: get native msgspec decoding for these workinn
def to_msg(self) -> dict:
msg = self.to_dict()
msg['symbol'] = msg['symbol'].to_dict()
# can't serialize the stream or feed objects, it's expected
# you'll have a ref to it since this msg should be rxed on
# a stream on whatever far end IPC..
msg.pop('stream')
msg.pop('feed')
return msg
@classmethod
def from_msg(cls, msg: dict) -> dict:
symbol = Symbol(**msg.pop('symbol'))
return cls(
symbol=symbol,
**msg,
)
async def allocate_persistent_feed( async def allocate_persistent_feed(
bus: _FeedsBus, bus: _FeedsBus,
sub_registered: trio.Event, sub_registered: trio.Event,
@ -1074,6 +955,8 @@ async def allocate_persistent_feed(
some_data_ready = trio.Event() some_data_ready = trio.Event()
feed_is_live = trio.Event() feed_is_live = trio.Event()
symstr = symstr.lower()
# establish broker backend quote stream by calling # establish broker backend quote stream by calling
# ``stream_quotes()``, which is a required broker backend endpoint. # ``stream_quotes()``, which is a required broker backend endpoint.
init_msg, first_quote = await bus.nursery.start( init_msg, first_quote = await bus.nursery.start(
@ -1132,6 +1015,7 @@ async def allocate_persistent_feed(
# https://github.com/python-trio/trio/issues/2258 # https://github.com/python-trio/trio/issues/2258
# bus.nursery.start_soon( # bus.nursery.start_soon(
# await bus.start_task( # await bus.start_task(
( (
izero_hist, izero_hist,
hist_shm, hist_shm,
@ -1165,13 +1049,6 @@ async def allocate_persistent_feed(
# feed to that name (for now). # feed to that name (for now).
bus.feeds[symstr] = bus.feeds[bfqsn] = flume bus.feeds[symstr] = bus.feeds[bfqsn] = flume
# insert 1s ohlc into the increment buffer set
# to update and shift every second
sampler.ohlcv_shms.setdefault(
1,
[]
).append(rt_shm)
task_status.started() task_status.started()
if not start_stream: if not start_stream:
@ -1181,18 +1058,6 @@ async def allocate_persistent_feed(
# the backend will indicate when real-time quotes have begun. # the backend will indicate when real-time quotes have begun.
await feed_is_live.wait() await feed_is_live.wait()
# insert 1m ohlc into the increment buffer set
# to shift every 60s.
sampler.ohlcv_shms.setdefault(60, []).append(hist_shm)
# create buffer a single incrementer task broker backend
# (aka `brokerd`) using the lowest sampler period.
if sampler.incrementers.get(_default_delay_s) is None:
await bus.start_task(
increment_ohlc_buffer,
_default_delay_s,
)
sum_tick_vlm: bool = init_msg.get( sum_tick_vlm: bool = init_msg.get(
'shm_write_opts', {} 'shm_write_opts', {}
).get('sum_tick_vlm', True) ).get('sum_tick_vlm', True)
@ -1205,7 +1070,12 @@ async def allocate_persistent_feed(
rt_shm.push(hist_shm.array[-3:-1]) rt_shm.push(hist_shm.array[-3:-1])
ohlckeys = ['open', 'high', 'low', 'close'] ohlckeys = ['open', 'high', 'low', 'close']
rt_shm.array[ohlckeys][-2:] = hist_shm.array['close'][-1] rt_shm.array[ohlckeys][-2:] = hist_shm.array['close'][-1]
rt_shm.array['volume'][-2] = 0 rt_shm.array['volume'][-2:] = 0
# set fast buffer time step to 1s
ts = round(time.time())
rt_shm.array['time'][0] = ts
rt_shm.array['time'][1] = ts + 1
# wait the spawning parent task to register its subscriber # wait the spawning parent task to register its subscriber
# send-stream entry before we start the sample loop. # send-stream entry before we start the sample loop.
@ -1248,6 +1118,10 @@ async def open_feed_bus(
symbol. symbol.
''' '''
# ensure that a quote feed stream which is pushing too fast doesn't
# cause and overrun in the client.
ctx._backpressure = True
if loglevel is None: if loglevel is None:
loglevel = tractor.current_actor().loglevel loglevel = tractor.current_actor().loglevel
@ -1261,10 +1135,6 @@ async def open_feed_bus(
servicename = tractor.current_actor().name servicename = tractor.current_actor().name
assert 'brokerd' in servicename assert 'brokerd' in servicename
# XXX: figure this not crashing into debug!
# await tractor.breakpoint()
# assert 0
assert brokername in servicename assert brokername in servicename
bus = get_feed_bus(brokername) bus = get_feed_bus(brokername)
@ -1273,6 +1143,10 @@ async def open_feed_bus(
flumes: dict[str, Flume] = {} flumes: dict[str, Flume] = {}
for symbol in symbols: for symbol in symbols:
# we always use lower case keys internally
symbol = symbol.lower()
# if no cached feed for this symbol has been created for this # if no cached feed for this symbol has been created for this
# brokerd yet, start persistent stream and shm writer task in # brokerd yet, start persistent stream and shm writer task in
# service nursery # service nursery
@ -1359,6 +1233,7 @@ async def open_feed_bus(
# a max ``tick_throttle`` instantaneous rate. # a max ``tick_throttle`` instantaneous rate.
send, recv = trio.open_memory_channel(2**10) send, recv = trio.open_memory_channel(2**10)
ctx._backpressure = False
cs = await bus.start_task( cs = await bus.start_task(
uniform_rate_send, uniform_rate_send,
tick_throttle, tick_throttle,

321
piker/data/flows.py 100644
View File

@ -0,0 +1,321 @@
# 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/>.
"""
abstractions for organizing, managing and generally operating-on
real-time data processing data-structures.
"Streams, flumes, cascades and flows.."
"""
from __future__ import annotations
from contextlib import asynccontextmanager as acm
from functools import partial
from typing import (
AsyncIterator,
TYPE_CHECKING,
)
import tractor
from tractor.trionics import (
maybe_open_context,
)
import pendulum
import numpy as np
from .types import Struct
from ._source import (
Symbol,
)
from ._sharedmem import (
attach_shm_array,
ShmArray,
_Token,
)
from ._sampling import (
open_sample_stream,
)
if TYPE_CHECKING:
from pyqtgraph import PlotItem
from .feed import Feed
# TODO: ideas for further abstractions as per
# https://github.com/pikers/piker/issues/216 and
# https://github.com/pikers/piker/issues/270:
# - a ``Cascade`` would be the minimal "connection" of 2 ``Flumes``
# as per circuit parlance:
# https://en.wikipedia.org/wiki/Two-port_network#Cascade_connection
# - could cover the combination of our `FspAdmin` and the
# backend `.fsp._engine` related machinery to "connect" one flume
# to another?
# - a (financial signal) ``Flow`` would be the a "collection" of such
# minmial cascades. Some engineering based jargon concepts:
# - https://en.wikipedia.org/wiki/Signal_chain
# - https://en.wikipedia.org/wiki/Daisy_chain_(electrical_engineering)
# - https://en.wikipedia.org/wiki/Audio_signal_flow
# - https://en.wikipedia.org/wiki/Digital_signal_processing#Implementation
# - https://en.wikipedia.org/wiki/Dataflow_programming
# - https://en.wikipedia.org/wiki/Signal_programming
# - https://en.wikipedia.org/wiki/Incremental_computing
class Flume(Struct):
'''
Composite reference type which points to all the addressing handles
and other meta-data necessary for the read, measure and management
of a set of real-time updated data flows.
Can be thought of as a "flow descriptor" or "flow frame" which
describes the high level properties of a set of data flows that can
be used seamlessly across process-memory boundaries.
Each instance's sub-components normally includes:
- a msg oriented quote stream provided via an IPC transport
- history and real-time shm buffers which are both real-time
updated and backfilled.
- associated startup indexing information related to both buffer
real-time-append and historical prepend addresses.
- low level APIs to read and measure the updated data and manage
queuing properties.
'''
symbol: Symbol
first_quote: dict
_rt_shm_token: _Token
# optional since some data flows won't have a "downsampled" history
# buffer/stream (eg. FSPs).
_hist_shm_token: _Token | None = None
# private shm refs loaded dynamically from tokens
_hist_shm: ShmArray | None = None
_rt_shm: ShmArray | None = None
stream: tractor.MsgStream | None = None
izero_hist: int = 0
izero_rt: int = 0
throttle_rate: int | None = None
# TODO: do we need this really if we can pull the `Portal` from
# ``tractor``'s internals?
feed: Feed | None = None
@property
def rt_shm(self) -> ShmArray:
if self._rt_shm is None:
self._rt_shm = attach_shm_array(
token=self._rt_shm_token,
readonly=True,
)
return self._rt_shm
@property
def hist_shm(self) -> ShmArray:
if self._hist_shm_token is None:
raise RuntimeError(
'No shm token has been set for the history buffer?'
)
if (
self._hist_shm is None
):
self._hist_shm = attach_shm_array(
token=self._hist_shm_token,
readonly=True,
)
return self._hist_shm
async def receive(self) -> dict:
return await self.stream.receive()
@acm
async def index_stream(
self,
delay_s: float = 1,
) -> AsyncIterator[int]:
if not self.feed:
raise RuntimeError('This flume is not part of any ``Feed``?')
# TODO: maybe a public (property) API for this in ``tractor``?
portal = self.stream._ctx._portal
assert portal
# XXX: this should be singleton on a host,
# a lone broker-daemon per provider should be
# created for all practical purposes
async with open_sample_stream(float(delay_s)) as stream:
yield stream
def get_ds_info(
self,
) -> tuple[float, float, float]:
'''
Compute the "downsampling" ratio info between the historical shm
buffer and the real-time (HFT) one.
Return a tuple of the fast sample period, historical sample
period and ratio between them.
'''
times = self.hist_shm.array['time']
end = pendulum.from_timestamp(times[-1])
start = pendulum.from_timestamp(times[times != times[-1]][-1])
hist_step_size_s = (end - start).seconds
times = self.rt_shm.array['time']
end = pendulum.from_timestamp(times[-1])
start = pendulum.from_timestamp(times[times != times[-1]][-1])
rt_step_size_s = (end - start).seconds
ratio = hist_step_size_s / rt_step_size_s
return (
rt_step_size_s,
hist_step_size_s,
ratio,
)
# TODO: get native msgspec decoding for these workinn
def to_msg(self) -> dict:
msg = self.to_dict()
msg['symbol'] = msg['symbol'].to_dict()
# can't serialize the stream or feed objects, it's expected
# you'll have a ref to it since this msg should be rxed on
# a stream on whatever far end IPC..
msg.pop('stream')
msg.pop('feed')
return msg
@classmethod
def from_msg(cls, msg: dict) -> dict:
symbol = Symbol(**msg.pop('symbol'))
return cls(
symbol=symbol,
**msg,
)
def get_index(
self,
time_s: float,
) -> int:
'''
Return array shm-buffer index for for epoch time.
'''
array = self.rt_shm.array
times = array['time']
mask = (times >= time_s)
if any(mask):
return array['index'][mask][0]
# just the latest index
array['index'][-1]
def slice_from_time(
self,
array: np.ndarray,
start_t: float,
stop_t: float,
timeframe_s: int = 1,
return_data: bool = False,
) -> np.ndarray:
'''
Slice an input struct array providing only datums
"in view" of this chart.
'''
arr = {
1: self.rt_shm.array,
60: self.hist_shm.arry,
}[timeframe_s]
times = arr['time']
index = array['index']
# use advanced indexing to map the
# time range to the index range.
mask = (
(times >= start_t)
&
(times < stop_t)
)
# TODO: if we can ensure each time field has a uniform
# step we can instead do some arithmetic to determine
# the equivalent index like we used to?
# return array[
# lbar - ifirst:
# (rbar - ifirst) + 1
# ]
i_by_t = index[mask]
i_0 = i_by_t[0]
abs_slc = slice(
i_0,
i_by_t[-1],
)
# slice data by offset from the first index
# available in the passed datum set.
read_slc = slice(
0,
i_by_t[-1] - i_0,
)
if not return_data:
return (
abs_slc,
read_slc,
)
# also return the readable data from the timerange
return (
abs_slc,
read_slc,
arr[mask],
)
def view_data(
self,
plot: PlotItem,
timeframe_s: int = 1,
) -> np.ndarray:
# get far-side x-indices plot view
vr = plot.viewRect()
(
abs_slc,
buf_slc,
iv_arr,
) = self.slice_from_time(
start_t=vr.left(),
stop_t=vr.right(),
timeframe_s=timeframe_s,
return_data=True,
)
return iv_arr

6
piker/data/marketstore.py
View File

@ -454,8 +454,12 @@ class Storage:
try: try:
result = await client.query(params) result = await client.query(params)
except purerpc.grpclib.exceptions.UnknownError: except purerpc.grpclib.exceptions.UnknownError as err:
# indicate there is no history for this timeframe # indicate there is no history for this timeframe
log.exception(
f'Unknown mkts QUERY error: {params}\n'
f'{err.args}'
)
return {} return {}
# TODO: it turns out column access on recarrays is actually slower: # TODO: it turns out column access on recarrays is actually slower:

5
piker/fsp/_api.py
View File

@ -199,7 +199,10 @@ def maybe_mk_fsp_shm(
# TODO: load output types from `Fsp` # TODO: load output types from `Fsp`
# - should `index` be a required internal field? # - should `index` be a required internal field?
fsp_dtype = np.dtype( fsp_dtype = np.dtype(
[('index', int)] + [('index', int)]
+
[('time', float)]
+
[(field_name, float) for field_name in target.outputs] [(field_name, float) for field_name in target.outputs]
) )

97
piker/fsp/_engine.py
View File

@ -21,7 +21,9 @@ core task logic for processing chains
from dataclasses import dataclass from dataclasses import dataclass
from functools import partial from functools import partial
from typing import ( from typing import (
AsyncIterator, Callable, Optional, AsyncIterator,
Callable,
Optional,
Union, Union,
) )
@ -36,9 +38,13 @@ from .. import data
from ..data import attach_shm_array from ..data import attach_shm_array
from ..data.feed import ( from ..data.feed import (
Flume, Flume,
Feed,
) )
from ..data._sharedmem import ShmArray from ..data._sharedmem import ShmArray
from ..data._sampling import _default_delay_s from ..data._sampling import (
_default_delay_s,
open_sample_stream,
)
from ..data._source import Symbol from ..data._source import Symbol
from ._api import ( from ._api import (
Fsp, Fsp,
@ -111,8 +117,9 @@ async def fsp_compute(
flume.rt_shm, flume.rt_shm,
) )
# Conduct a single iteration of fsp with historical bars input # HISTORY COMPUTE PHASE
# and get historical output # conduct a single iteration of fsp with historical bars input
# and get historical output.
history_output: Union[ history_output: Union[
dict[str, np.ndarray], # multi-output case dict[str, np.ndarray], # multi-output case
np.ndarray, # single output case np.ndarray, # single output case
@ -129,9 +136,13 @@ async def fsp_compute(
# each respective field. # each respective field.
fields = getattr(dst.array.dtype, 'fields', None).copy() fields = getattr(dst.array.dtype, 'fields', None).copy()
fields.pop('index') fields.pop('index')
history: Optional[np.ndarray] = None # TODO: nptyping here! history_by_field: Optional[np.ndarray] = None
src_time = src.array['time']
if fields and len(fields) > 1 and fields: if (
fields and
len(fields) > 1
):
if not isinstance(history_output, dict): if not isinstance(history_output, dict):
raise ValueError( raise ValueError(
f'`{func_name}` is a multi-output FSP and should yield a ' f'`{func_name}` is a multi-output FSP and should yield a '
@ -142,7 +153,7 @@ async def fsp_compute(
if key in history_output: if key in history_output:
output = history_output[key] output = history_output[key]
if history is None: if history_by_field is None:
if output is None: if output is None:
length = len(src.array) length = len(src.array)
@ -152,7 +163,7 @@ async def fsp_compute(
# using the first output, determine # using the first output, determine
# the length of the struct-array that # the length of the struct-array that
# will be pushed to shm. # will be pushed to shm.
history = np.zeros( history_by_field = np.zeros(
length, length,
dtype=dst.array.dtype dtype=dst.array.dtype
) )
@ -160,7 +171,7 @@ async def fsp_compute(
if output is None: if output is None:
continue continue
history[key] = output history_by_field[key] = output
# single-key output stream # single-key output stream
else: else:
@ -169,11 +180,13 @@ async def fsp_compute(
f'`{func_name}` is a single output FSP and should yield an ' f'`{func_name}` is a single output FSP and should yield an '
'`np.ndarray` for history' '`np.ndarray` for history'
) )
history = np.zeros( history_by_field = np.zeros(
len(history_output), len(history_output),
dtype=dst.array.dtype dtype=dst.array.dtype
) )
history[func_name] = history_output history_by_field[func_name] = history_output
history_by_field['time'] = src_time[-len(history_by_field):]
# TODO: XXX: # TODO: XXX:
# THERE'S A BIG BUG HERE WITH THE `index` field since we're # THERE'S A BIG BUG HERE WITH THE `index` field since we're
@ -190,7 +203,10 @@ async def fsp_compute(
# TODO: can we use this `start` flag instead of the manual # TODO: can we use this `start` flag instead of the manual
# setting above? # setting above?
index = dst.push(history, start=first) index = dst.push(
history_by_field,
start=first,
)
profiler(f'{func_name} pushed history') profiler(f'{func_name} pushed history')
profiler.finish() profiler.finish()
@ -216,8 +232,14 @@ async def fsp_compute(
log.debug(f"{func_name}: {processed}") log.debug(f"{func_name}: {processed}")
key, output = processed key, output = processed
index = src.index # dst.array[-1][key] = output
dst.array[-1][key] = output dst.array[[key, 'time']][-1] = (
output,
# TODO: what about pushing ``time.time_ns()``
# in which case we'll need to round at the graphics
# processing / sampling layer?
src.array[-1]['time']
)
# NOTE: for now we aren't streaming this to the consumer # NOTE: for now we aren't streaming this to the consumer
# stream latest array index entry which basically just acts # stream latest array index entry which basically just acts
@ -228,6 +250,7 @@ async def fsp_compute(
# N-consumers who subscribe for the real-time output, # N-consumers who subscribe for the real-time output,
# which we'll likely want to implement using local-mem # which we'll likely want to implement using local-mem
# chans for the fan out? # chans for the fan out?
# index = src.index
# if attach_stream: # if attach_stream:
# await client_stream.send(index) # await client_stream.send(index)
@ -302,6 +325,7 @@ async def cascade(
raise ValueError(f'Unknown fsp target: {ns_path}') raise ValueError(f'Unknown fsp target: {ns_path}')
# open a data feed stream with requested broker # open a data feed stream with requested broker
feed: Feed
async with data.feed.maybe_open_feed( async with data.feed.maybe_open_feed(
[fqsn], [fqsn],
@ -317,7 +341,6 @@ async def cascade(
symbol = flume.symbol symbol = flume.symbol
assert src.token == flume.rt_shm.token assert src.token == flume.rt_shm.token
profiler(f'{func}: feed up') profiler(f'{func}: feed up')
# last_len = new_len = len(src.array)
func_name = func.__name__ func_name = func.__name__
async with ( async with (
@ -365,7 +388,7 @@ 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.debug(f're-syncing fsp {func_name} to source') log.info(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)
@ -386,7 +409,8 @@ async def cascade(
src: ShmArray, src: ShmArray,
dst: ShmArray dst: ShmArray
) -> tuple[bool, int, int]: ) -> tuple[bool, int, int]:
'''Predicate to dertmine if a destination FSP '''
Predicate to dertmine if a destination FSP
output array is aligned to its source array. output array is aligned to its source array.
''' '''
@ -395,16 +419,15 @@ async def cascade(
return not ( return not (
# the source is likely backfilling and we must # the source is likely backfilling and we must
# sync history calculations # sync history calculations
len_diff > 2 or len_diff > 2
# we aren't step synced to the source and may be # we aren't step synced to the source and may be
# leading/lagging by a step # leading/lagging by a step
step_diff > 1 or or step_diff > 1
step_diff < 0 or step_diff < 0
), step_diff, len_diff ), step_diff, len_diff
async def poll_and_sync_to_step( async def poll_and_sync_to_step(
tracker: TaskTracker, tracker: TaskTracker,
src: ShmArray, src: ShmArray,
dst: ShmArray, dst: ShmArray,
@ -424,16 +447,16 @@ async def cascade(
# signal # signal
times = src.array['time'] times = src.array['time']
if len(times) > 1: if len(times) > 1:
delay_s = times[-1] - times[times != times[-1]][-1] last_ts = times[-1]
delay_s = float(last_ts - times[times != last_ts][-1])
else: else:
# our default "HFT" sample rate. # our default "HFT" sample rate.
delay_s = _default_delay_s delay_s = _default_delay_s
# Increment the underlying shared memory buffer on every # sub and increment the underlying shared memory buffer
# "increment" msg received from the underlying data feed. # on every step msg received from the global `samplerd`
async with flume.index_stream( # service.
int(delay_s) async with open_sample_stream(float(delay_s)) as istream:
) as istream:
profiler(f'{func_name}: sample stream up') profiler(f'{func_name}: sample stream up')
profiler.finish() profiler.finish()
@ -468,3 +491,23 @@ async def cascade(
last = array[-1:].copy() last = array[-1:].copy()
dst.push(last) dst.push(last)
# sync with source buffer's time step
src_l2 = src.array[-2:]
src_li, src_lt = src_l2[-1][['index', 'time']]
src_2li, src_2lt = src_l2[-2][['index', 'time']]
dst._array['time'][src_li] = src_lt
dst._array['time'][src_2li] = src_2lt
# last2 = dst.array[-2:]
# if (
# last2[-1]['index'] != src_li
# or last2[-2]['index'] != src_2li
# ):
# dstl2 = list(last2)
# srcl2 = list(src_l2)
# print(
# # f'{dst.token}\n'
# f'src: {srcl2}\n'
# f'dst: {dstl2}\n'
# )

5
piker/fsp/_volume.py
View File

@ -234,7 +234,7 @@ async def flow_rates(
# FSPs, user input, and possibly any general event stream in # FSPs, user input, and possibly any general event stream in
# real-time. Hint: ideally implemented with caching until mutated # real-time. Hint: ideally implemented with caching until mutated
# ;) # ;)
period: 'Param[int]' = 6, # noqa period: 'Param[int]' = 1, # noqa
# TODO: support other means by providing a map # TODO: support other means by providing a map
# to weights `partial()`-ed with `wma()`? # to weights `partial()`-ed with `wma()`?
@ -268,8 +268,7 @@ async def flow_rates(
'dark_dvlm_rate': None, 'dark_dvlm_rate': None,
} }
# TODO: 3.10 do ``anext()`` quote = await anext(source)
quote = await source.__anext__()
# ltr = 0 # ltr = 0
# lvr = 0 # lvr = 0

7
piker/ui/_exec.py
View File

@ -49,7 +49,10 @@ from qdarkstyle import DarkPalette
import trio import trio
from outcome import Error from outcome import Error
from .._daemon import maybe_open_pikerd, _tractor_kwargs from .._daemon import (
maybe_open_pikerd,
get_tractor_runtime_kwargs,
)
from ..log import get_logger from ..log import get_logger
from ._pg_overrides import _do_overrides from ._pg_overrides import _do_overrides
from . import _style from . import _style
@ -170,7 +173,7 @@ def run_qtractor(
instance.window = window instance.window = window
# override tractor's defaults # override tractor's defaults
tractor_kwargs.update(_tractor_kwargs) tractor_kwargs.update(get_tractor_runtime_kwargs())
# define tractor entrypoint # define tractor entrypoint
async def main(): async def main():

5
piker/ui/_fsp.py
View File

@ -51,7 +51,10 @@ from ._forms import (
mk_form, mk_form,
open_form_input_handling, open_form_input_handling,
) )
from ..fsp._api import maybe_mk_fsp_shm, Fsp from ..fsp._api import (
maybe_mk_fsp_shm,
Fsp,
)
from ..fsp import cascade from ..fsp import cascade
from ..fsp._volume import ( from ..fsp._volume import (
# tina_vwap, # tina_vwap,

10
tests/conftest.py
View File

@ -7,6 +7,9 @@ from piker import (
# log, # log,
config, config,
) )
from piker._daemon import (
Services,
)
def pytest_addoption(parser): def pytest_addoption(parser):
@ -137,12 +140,16 @@ async def _open_test_pikerd(
port = random.randint(6e3, 7e3) port = random.randint(6e3, 7e3)
reg_addr = ('127.0.0.1', port) reg_addr = ('127.0.0.1', port)
# try:
async with ( async with (
maybe_open_pikerd( maybe_open_pikerd(
registry_addr=reg_addr, registry_addr=reg_addr,
**kwargs, **kwargs,
), ) as service_manager,
): ):
# this proc/actor is the pikerd
assert service_manager is Services
async with tractor.wait_for_actor( async with tractor.wait_for_actor(
'pikerd', 'pikerd',
arbiter_sockaddr=reg_addr, arbiter_sockaddr=reg_addr,
@ -153,6 +160,7 @@ async def _open_test_pikerd(
raddr[0], raddr[0],
raddr[1], raddr[1],
portal, portal,
service_manager,
) )

176
tests/test_services.py 100644
View File

@ -0,0 +1,176 @@
'''
Actor tree daemon sub-service verifications
'''
from typing import AsyncContextManager
from contextlib import asynccontextmanager as acm
import pytest
import trio
import tractor
from piker._daemon import (
find_service,
check_for_service,
Services,
)
from piker.data import (
open_feed,
)
from piker.clearing import (
open_ems,
)
from piker.clearing._messages import (
BrokerdPosition,
Status,
)
from piker.clearing._client import (
OrderBook,
)
def test_runtime_boot(
open_test_pikerd: AsyncContextManager
):
'''
Verify we can boot the `pikerd` service stack using the
`open_test_pikerd` fixture helper and that registry address details
match up.
'''
async def main():
port = 6666
daemon_addr = ('127.0.0.1', port)
services: Services
async with (
open_test_pikerd(
reg_addr=daemon_addr,
) as (_, _, pikerd_portal, services),
tractor.wait_for_actor(
'pikerd',
arbiter_sockaddr=daemon_addr,
) as portal,
):
assert pikerd_portal.channel.raddr == daemon_addr
assert pikerd_portal.channel.raddr == portal.channel.raddr
trio.run(main)
@acm
async def ensure_service(
name: str,
sockaddr: tuple[str, int] | None = None,
) -> None:
async with find_service(name) as portal:
remote_sockaddr = portal.channel.raddr
print(f'FOUND `{name}` @ {remote_sockaddr}')
if sockaddr:
assert remote_sockaddr == sockaddr
yield portal
def test_ensure_datafeed_actors(
open_test_pikerd: AsyncContextManager
) -> None:
'''
Verify that booting a data feed starts a `brokerd`
actor and a singleton global `samplerd` and opening
an order mode in paper opens the `paperboi` service.
'''
actor_name: str = 'brokerd'
backend: str = 'kraken'
brokerd_name: str = f'{actor_name}.{backend}'
async def main():
async with (
open_test_pikerd(),
open_feed(
['xbtusdt.kraken'],
loglevel='info',
) as feed
):
# halt rt quote streams since we aren't testing them
await feed.pause()
async with (
ensure_service(brokerd_name),
ensure_service('samplerd'),
):
pass
trio.run(main)
def test_ensure_ems_in_paper_actors(
open_test_pikerd: AsyncContextManager
) -> None:
actor_name: str = 'brokerd'
backend: str = 'kraken'
brokerd_name: str = f'{actor_name}.{backend}'
async def main():
# type declares
book: OrderBook
trades_stream: tractor.MsgStream
pps: dict[str, list[BrokerdPosition]]
accounts: list[str]
dialogs: dict[str, Status]
# ensure we timeout after is startup is too slow.
# TODO: something like this should be our start point for
# benchmarking end-to-end startup B)
with trio.fail_after(9):
async with (
open_test_pikerd() as (_, _, _, services),
open_ems(
'xbtusdt.kraken',
mode='paper',
) as (
book,
trades_stream,
pps,
accounts,
dialogs,
),
):
# there should be no on-going positions,
# TODO: though eventually we'll want to validate against
# local ledger and `pps.toml` state ;)
assert not pps
assert not dialogs
pikerd_subservices = ['emsd', 'samplerd']
async with (
ensure_service('emsd'),
ensure_service(brokerd_name),
ensure_service(f'paperboi.{backend}'),
):
for name in pikerd_subservices:
assert name in services.service_tasks
# brokerd.kraken actor should have been started
# implicitly by the ems.
assert brokerd_name in services.service_tasks
print('ALL SERVICES STARTED, terminating..')
await services.cancel_service('emsd')
with pytest.raises(
tractor._exceptions.ContextCancelled,
) as exc_info:
trio.run(main)
cancel_msg: str = '`_emsd_main()` was remotely cancelled by its caller'
assert cancel_msg in exc_info.value.args[0]