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118 changed files with 10533 additions and 22439 deletions

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@ -3,9 +3,10 @@ name: CI
on:
# Triggers the workflow on push or pull request events but only for the master branch
pull_request:
push:
branches: [ master ]
pull_request:
branches: [ master ]
# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:
@ -13,46 +14,21 @@ on:
jobs:
# test that we can generate a software distribution and install it
# thus avoid missing file issues after packaging.
sdist-linux:
name: 'sdist'
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v3
- name: Setup python
uses: actions/setup-python@v2
with:
python-version: '3.10'
- name: Build sdist
run: python setup.py sdist --formats=zip
- name: Install sdist from .zips
run: python -m pip install dist/*.zip
testing:
name: 'install + test-suite'
timeout-minutes: 10
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v3
- name: Build DB container
run: docker build -t piker:elastic dockering/elastic
- name: Setup python
uses: actions/setup-python@v3
with:
python-version: '3.10'
- name: Install dependencies
run: pip install -U .[es] -r requirements-test.txt -r requirements.txt --upgrade-strategy eager
run: pip install -U . -r requirements-test.txt -r requirements.txt --upgrade-strategy eager
- name: Test suite
run: pytest tests -rs

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@ -71,19 +71,6 @@ for a development install::
source ./env/bin/activate
pip install -r requirements.txt -e .
install for nixos
*****************
for users of `NixOS` we offer a development shell envoirment that can be
loaded with::
nix-shell develop.nix
this will setup the required python environment to run piker, make sure to
run::
pip install -r requirements.txt -e .
once after loading the shell
install for tinas
*****************

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@ -50,8 +50,3 @@ prefer_data_account = [
paper = "XX0000000"
margin = "X0000000"
ira = "X0000000"
[deribit]
key_id = 'XXXXXXXX'
key_secret = 'Xx_XxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXx'

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@ -1,32 +0,0 @@
with (import <nixpkgs> {});
with python310Packages;
stdenv.mkDerivation {
name = "pip-env";
buildInputs = [
# System requirements.
readline
# Python requirements (enough to get a virtualenv going).
python310Full
virtualenv
setuptools
pyqt5
pip
];
src = null;
shellHook = ''
# Allow the use of wheels.
SOURCE_DATE_EPOCH=$(date +%s)
# Augment the dynamic linker path
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:${R}/lib/R/lib:${readline}/lib
export QT_QPA_PLATFORM_PLUGIN_PATH="${qt5.qtbase.bin}/lib/qt-${qt5.qtbase.version}/plugins";
if [ ! -d "venv" ]; then
virtualenv venv
fi
source venv/bin/activate
'';
}

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@ -1,11 +0,0 @@
FROM elasticsearch:7.17.4
ENV ES_JAVA_OPTS "-Xms2g -Xmx2g"
ENV ELASTIC_USERNAME "elastic"
ENV ELASTIC_PASSWORD "password"
COPY elasticsearch.yml /usr/share/elasticsearch/config/
RUN printf "password" | ./bin/elasticsearch-keystore add -f -x "bootstrap.password"
EXPOSE 19200

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@ -1,5 +0,0 @@
network.host: 0.0.0.0
http.port: 19200
discovery.type: single-node

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@ -3,12 +3,11 @@
version: "3.5"
services:
ib_gw_paper:
ib-gateway:
# other image tags available:
# https://github.com/waytrade/ib-gateway-docker#supported-tags
# image: waytrade/ib-gateway:981.3j
image: waytrade/ib-gateway:1012.2i
restart: 'no' # restart on boot whenev there's a crash or user clicsk
image: waytrade/ib-gateway:981.3j
restart: always
network_mode: 'host'
volumes:
@ -40,12 +39,14 @@ services:
# this compose file which looks something like:
# TWS_USERID='myuser'
# TWS_PASSWORD='guest'
# TRADING_MODE=paper (or live)
# VNC_SERVER_PASSWORD='diggity'
environment:
TWS_USERID: ${TWS_USERID}
TWS_PASSWORD: ${TWS_PASSWORD}
TRADING_MODE: 'paper'
VNC_SERVER_PASSWORD: 'doggy'
VNC_SERVER_PORT: '3003'
TRADING_MODE: ${TRADING_MODE:-paper}
VNC_SERVER_PASSWORD: ${VNC_SERVER_PASSWORD:-}
# ports:
# - target: 4002
@ -61,40 +62,3 @@ services:
# - "127.0.0.1:4001:4001"
# - "127.0.0.1:4002:4002"
# - "127.0.0.1:5900:5900"
# ib_gw_live:
# image: waytrade/ib-gateway:1012.2i
# restart: no
# network_mode: 'host'
# volumes:
# - type: bind
# source: ./jts_live.ini
# target: /root/jts/jts.ini
# # don't let ibc clobber this file for
# # the main reason of not having a stupid
# # timezone set..
# read_only: true
# # force our own ibc config
# - type: bind
# source: ./ibc.ini
# target: /root/ibc/config.ini
# # force our noop script - socat isn't needed in host mode.
# - type: bind
# source: ./fork_ports_delayed.sh
# target: /root/scripts/fork_ports_delayed.sh
# # force our noop script - socat isn't needed in host mode.
# - type: bind
# source: ./run_x11_vnc.sh
# target: /root/scripts/run_x11_vnc.sh
# read_only: true
# # NOTE: to fill these out, define an `.env` file in the same dir as
# # this compose file which looks something like:
# environment:
# TRADING_MODE: 'live'
# VNC_SERVER_PASSWORD: 'doggy'
# VNC_SERVER_PORT: '3004'

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@ -188,7 +188,7 @@ AcceptNonBrokerageAccountWarning=yes
#
# The default value is 60.
LoginDialogDisplayTimeout=20
LoginDialogDisplayTimeout = 60
@ -292,7 +292,7 @@ ExistingSessionDetectedAction=primary
# be set dynamically at run-time: most users will never need it,
# so don't use it unless you know you need it.
; OverrideTwsApiPort=4002
OverrideTwsApiPort=4002
# Read-only Login

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@ -1,33 +0,0 @@
[IBGateway]
ApiOnly=true
LocalServerPort=4001
# NOTE: must be set if using IBC's "reject" mode
TrustedIPs=127.0.0.1
; RemoteHostOrderRouting=ndc1.ibllc.com
; WriteDebug=true
; RemotePortOrderRouting=4001
; useRemoteSettings=false
; tradingMode=p
; Steps=8
; colorPalletName=dark
# window geo, this may be useful for sending `xdotool` commands?
; MainWindow.Width=1986
; screenHeight=3960
[Logon]
Locale=en
# most markets are oriented around this zone
# so might as well hard code it.
TimeZone=America/New_York
UseSSL=true
displayedproxymsg=1
os_titlebar=true
s3store=true
useRemoteSettings=false
[Communication]
ctciAutoEncrypt=true
Region=usr
; Peer=cdc1.ibllc.com:4001

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@ -1,35 +1,16 @@
#!/bin/sh
# start vnc server and listen for connections
# on port specced in `$VNC_SERVER_PORT`
# start VNC server
x11vnc \
-listen 127.0.0.1 \
-allow 127.0.0.1 \
-rfbport "${VNC_SERVER_PORT}" \
-ncache_cr \
-listen localhost \
-display :1 \
-forever \
-shared \
-logappend /var/log/x11vnc.log \
-bg \
-nowf \
-noxdamage \
-noxfixes \
-no6 \
-noipv6 \
# -nowcr \
# TODO: can't use this because of ``asyncvnc`` issue:
-autoport 3003 \
# can't use this because of ``asyncvnc`` issue:
# https://github.com/barneygale/asyncvnc/issues/1
# -passwd 'ibcansmbz'
# XXX: optional graphics caching flags that seem to rekt the overlay
# of the 2 gw windows? When running a single gateway
# this seems to maybe optimize some memory usage?
# -ncache_cr \
# -ncache \
# NOTE: this will prevent logs from going to the console.
# -logappend /var/log/x11vnc.log \
# where to start allocating ports
# -autoport "${VNC_SERVER_PORT}" \

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@ -1,5 +1,5 @@
# piker: trading gear for hackers.
# Copyright 2020-eternity Tyler Goodlet (in stewardship for pikers)
# Copyright 2020-eternity Tyler Goodlet (in stewardship for piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
@ -14,14 +14,7 @@
# 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/>.
'''
"""
piker: trading gear for hackers.
'''
from .service import open_piker_runtime
from .data.feed import open_feed
__all__ = [
'open_piker_runtime',
'open_feed',
]
"""

561
piker/_daemon.py 100644
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@ -0,0 +1,561 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# 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/>.
"""
Structured, daemon tree service management.
"""
from typing import Optional, Union, Callable, Any
from contextlib import asynccontextmanager as acm
from collections import defaultdict
from pydantic import BaseModel
import trio
from trio_typing import TaskStatus
import tractor
from .log import get_logger, get_console_log
from .brokers import get_brokermod
log = get_logger(__name__)
_root_dname = 'pikerd'
_registry_addr = ('127.0.0.1', 6116)
_tractor_kwargs: dict[str, Any] = {
# use a different registry addr then tractor's default
'arbiter_addr': _registry_addr
}
_root_modules = [
__name__,
'piker.clearing._ems',
'piker.clearing._client',
]
class Services(BaseModel):
actor_n: tractor._supervise.ActorNursery
service_n: trio.Nursery
debug_mode: bool # tractor sub-actor debug mode flag
service_tasks: dict[str, tuple[trio.CancelScope, tractor.Portal]] = {}
class Config:
arbitrary_types_allowed = True
async def start_service_task(
self,
name: str,
portal: tractor.Portal,
target: Callable,
**kwargs,
) -> (trio.CancelScope, tractor.Context):
'''
Open a context in a service sub-actor, add to a stack
that gets unwound at ``pikerd`` teardown.
This allows for allocating long-running sub-services in our main
daemon and explicitly controlling their lifetimes.
'''
async def open_context_in_task(
task_status: TaskStatus[
trio.CancelScope] = trio.TASK_STATUS_IGNORED,
) -> Any:
with trio.CancelScope() as cs:
async with portal.open_context(
target,
**kwargs,
) as (ctx, first):
# unblock once the remote context has started
task_status.started((cs, first))
log.info(
f'`pikerd` service {name} started with value {first}'
)
try:
# wait on any context's return value
ctx_res = await ctx.result()
except tractor.ContextCancelled:
return await self.cancel_service(name)
else:
# wait on any error from the sub-actor
# NOTE: this will block indefinitely until
# 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)
cs, first = await self.service_n.start(open_context_in_task)
# store the cancel scope and portal for later cancellation or
# retstart if needed.
self.service_tasks[name] = (cs, portal)
return cs, first
# TODO: per service cancellation by scope, we aren't using this
# anywhere right?
async def cancel_service(
self,
name: str,
) -> Any:
log.info(f'Cancelling `pikerd` service {name}')
cs, portal = self.service_tasks[name]
# XXX: not entirely sure why this is required,
# and should probably be better fine tuned in
# ``tractor``?
cs.cancel()
return await portal.cancel_actor()
_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,
) -> 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
assert _services is None
# 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
async def open_piker_runtime(
name: str,
enable_modules: list[str] = [],
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,
) -> Optional[tractor._portal.Portal]:
'''
Start a piker actor who's runtime will automatically
sync with existing piker actors in local network
based on configuration.
'''
global _services
assert _services is None
# 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=name,
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 _,
):
yield tractor.current_actor()
@acm
async def maybe_open_runtime(
loglevel: Optional[str] = None,
**kwargs,
) -> None:
"""
Start the ``tractor`` runtime (a root actor) if none exists.
"""
settings = _tractor_kwargs
settings.update(kwargs)
if not tractor.current_actor(err_on_no_runtime=False):
async with tractor.open_root_actor(
loglevel=loglevel,
**settings,
):
yield
else:
yield
@acm
async def maybe_open_pikerd(
loglevel: Optional[str] = None,
**kwargs,
) -> Union[tractor._portal.Portal, Services]:
"""If no ``pikerd`` daemon-root-actor can be found start it and
yield up (we should probably figure out returning a portal to self
though).
"""
if loglevel:
get_console_log(loglevel)
# subtle, we must have the runtime up here or portal lookup will fail
async with maybe_open_runtime(loglevel, **kwargs):
async with tractor.find_actor(_root_dname) as portal:
# assert portal is not None
if portal is not None:
yield portal
return
# presume pikerd role since no daemon could be found at
# configured address
async with open_pikerd(
loglevel=loglevel,
debug_mode=kwargs.get('debug_mode', False),
) as _:
# in the case where we're starting up the
# tractor-piker runtime stack in **this** process
# we return no portal to self.
yield None
# brokerd enabled modules
_data_mods = [
'piker.brokers.core',
'piker.brokers.data',
'piker.data',
'piker.data.feed',
'piker.data._sampling'
]
class Brokerd:
locks = defaultdict(trio.Lock)
@acm
async def find_service(
service_name: str,
) -> Optional[tractor.Portal]:
log.info(f'Scanning for service `{service_name}`')
# attach to existing daemon by name if possible
async with tractor.find_actor(
service_name,
arbiter_sockaddr=_registry_addr,
) as maybe_portal:
yield maybe_portal
async def check_for_service(
service_name: str,
) -> bool:
'''
Service daemon "liveness" predicate.
'''
async with tractor.query_actor(
service_name,
arbiter_sockaddr=_registry_addr,
) as sockaddr:
return sockaddr
@acm
async def maybe_spawn_daemon(
service_name: str,
service_task_target: Callable,
spawn_args: dict[str, Any],
loglevel: Optional[str] = None,
**kwargs,
) -> tractor.Portal:
'''
If no ``service_name`` daemon-actor can be found,
spawn one in a local subactor and return a portal to it.
If this function is called from a non-pikerd actor, the
spawned service will persist as long as pikerd does or
it is requested to be cancelled.
This can be seen as a service starting api for remote-actor
clients.
'''
if loglevel:
get_console_log(loglevel)
# serialize access to this section to avoid
# 2 or more tasks racing to create a daemon
lock = Brokerd.locks[service_name]
await lock.acquire()
async with find_service(service_name) as portal:
if portal is not None:
lock.release()
yield portal
return
log.warning(f"Couldn't find any existing {service_name}")
# ask root ``pikerd`` daemon to spawn the daemon we need if
# pikerd is not live we now become the root of the
# process tree
async with maybe_open_pikerd(
loglevel=loglevel,
**kwargs,
) as pikerd_portal:
if pikerd_portal is None:
# we are the root and thus are `pikerd`
# so spawn the target service directly by calling
# the provided target routine.
# XXX: this assumes that the target is well formed and will
# do the right things to setup both a sub-actor **and** call
# the ``_Services`` api from above to start the top level
# service task for that actor.
await service_task_target(**spawn_args)
else:
# tell the remote `pikerd` to start the target,
# the target can't return a non-serializable value
# since it is expected that service startingn is
# non-blocking and the target task will persist running
# on `pikerd` after the client requesting it's start
# disconnects.
await pikerd_portal.run(
service_task_target,
**spawn_args,
)
async with tractor.wait_for_actor(service_name) as portal:
lock.release()
yield portal
await portal.cancel_actor()
async def spawn_brokerd(
brokername: str,
loglevel: Optional[str] = None,
**tractor_kwargs,
) -> bool:
log.info(f'Spawning {brokername} broker daemon')
brokermod = get_brokermod(brokername)
dname = f'brokerd.{brokername}'
extra_tractor_kwargs = getattr(brokermod, '_spawn_kwargs', {})
tractor_kwargs.update(extra_tractor_kwargs)
global _services
assert _services
# ask `pikerd` to spawn a new sub-actor and manage it under its
# actor nursery
modpath = brokermod.__name__
broker_enable = [modpath]
for submodname in getattr(
brokermod,
'__enable_modules__',
[],
):
subpath = f'{modpath}.{submodname}'
broker_enable.append(subpath)
portal = await _services.actor_n.start_actor(
dname,
enable_modules=_data_mods + broker_enable,
loglevel=loglevel,
debug_mode=_services.debug_mode,
**tractor_kwargs
)
# non-blocking setup of brokerd service nursery
from .data import _setup_persistent_brokerd
await _services.start_service_task(
dname,
portal,
_setup_persistent_brokerd,
brokername=brokername,
)
return True
@acm
async def maybe_spawn_brokerd(
brokername: str,
loglevel: Optional[str] = None,
**kwargs,
) -> tractor.Portal:
'''
Helper to spawn a brokerd service *from* a client
who wishes to use the sub-actor-daemon.
'''
async with maybe_spawn_daemon(
f'brokerd.{brokername}',
service_task_target=spawn_brokerd,
spawn_args={'brokername': brokername, 'loglevel': loglevel},
loglevel=loglevel,
**kwargs,
) as portal:
yield portal
async def spawn_emsd(
loglevel: Optional[str] = None,
**extra_tractor_kwargs
) -> bool:
"""
Start the clearing engine under ``pikerd``.
"""
log.info('Spawning emsd')
global _services
assert _services
portal = await _services.actor_n.start_actor(
'emsd',
enable_modules=[
'piker.clearing._ems',
'piker.clearing._client',
],
loglevel=loglevel,
debug_mode=_services.debug_mode, # set by pikerd flag
**extra_tractor_kwargs
)
# non-blocking setup of clearing service
from .clearing._ems import _setup_persistent_emsd
await _services.start_service_task(
'emsd',
portal,
_setup_persistent_emsd,
)
return True
@acm
async def maybe_open_emsd(
brokername: str,
loglevel: Optional[str] = None,
**kwargs,
) -> tractor._portal.Portal: # noqa
async with maybe_spawn_daemon(
'emsd',
service_task_target=spawn_emsd,
spawn_args={'loglevel': loglevel},
loglevel=loglevel,
**kwargs,
) as 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

View File

@ -18,10 +18,7 @@
Profiling wrappers for internal libs.
"""
import os
import sys
import time
from time import perf_counter
from functools import wraps
# NOTE: you can pass a flag to enable this:
@ -47,193 +44,3 @@ def timeit(fn):
return res
return wrapper
# Modified version of ``pyqtgraph.debug.Profiler`` that
# core seems hesitant to land in:
# https://github.com/pyqtgraph/pyqtgraph/pull/2281
class Profiler(object):
'''
Simple profiler allowing measurement of multiple time intervals.
By default, profilers are disabled. To enable profiling, set the
environment variable `PYQTGRAPHPROFILE` to a comma-separated list of
fully-qualified names of profiled functions.
Calling a profiler registers a message (defaulting to an increasing
counter) that contains the time elapsed since the last call. When the
profiler is about to be garbage-collected, the messages are passed to the
outer profiler if one is running, or printed to stdout otherwise.
If `delayed` is set to False, messages are immediately printed instead.
Example:
def function(...):
profiler = Profiler()
... do stuff ...
profiler('did stuff')
... do other stuff ...
profiler('did other stuff')
# profiler is garbage-collected and flushed at function end
If this function is a method of class C, setting `PYQTGRAPHPROFILE` to
"C.function" (without the module name) will enable this profiler.
For regular functions, use the qualified name of the function, stripping
only the initial "pyqtgraph." prefix from the module.
'''
_profilers = os.environ.get("PYQTGRAPHPROFILE", None)
_profilers = _profilers.split(",") if _profilers is not None else []
_depth = 0
# NOTE: without this defined at the class level
# you won't see apprpriately "nested" sub-profiler
# instance calls.
_msgs = []
# set this flag to disable all or individual profilers at runtime
disable = False
class DisabledProfiler(object):
def __init__(self, *args, **kwds):
pass
def __call__(self, *args):
pass
def finish(self):
pass
def mark(self, msg=None):
pass
_disabledProfiler = DisabledProfiler()
def __new__(
cls,
msg=None,
disabled='env',
delayed=True,
ms_threshold: float = 0.0,
):
"""Optionally create a new profiler based on caller's qualname.
``ms_threshold`` can be set to value in ms for which, if the
total measured time of the lifetime of this profiler is **less
than** this value, then no profiling messages will be printed.
Setting ``delayed=False`` disables this feature since messages
are emitted immediately.
"""
if (
disabled is True
or (
disabled == 'env'
and len(cls._profilers) == 0
)
):
return cls._disabledProfiler
# determine the qualified name of the caller function
caller_frame = sys._getframe(1)
try:
caller_object_type = type(caller_frame.f_locals["self"])
except KeyError: # we are in a regular function
qualifier = caller_frame.f_globals["__name__"].split(".", 1)[-1]
else: # we are in a method
qualifier = caller_object_type.__name__
func_qualname = qualifier + "." + caller_frame.f_code.co_name
if disabled == 'env' and func_qualname not in cls._profilers:
# don't do anything
return cls._disabledProfiler
cls._depth += 1
obj = super(Profiler, cls).__new__(cls)
obj._msgs = []
# create an actual profiling object
if cls._depth < 1:
cls._msgs = []
obj._name = msg or func_qualname
obj._delayed = delayed
obj._markCount = 0
obj._finished = False
obj._firstTime = obj._lastTime = perf_counter()
obj._mt = ms_threshold
obj._newMsg("> Entering " + obj._name)
return obj
def __call__(self, msg=None):
"""Register or print a new message with timing information.
"""
if self.disable:
return
if msg is None:
msg = str(self._markCount)
self._markCount += 1
newTime = perf_counter()
tot_ms = (newTime - self._firstTime) * 1000
ms = (newTime - self._lastTime) * 1000
self._newMsg(
f" {msg}: {ms:0.4f}, tot:{tot_ms:0.4f}"
)
self._lastTime = newTime
def mark(self, msg=None):
self(msg)
def _newMsg(self, msg, *args):
msg = " " * (self._depth - 1) + msg
if self._delayed:
self._msgs.append((msg, args))
else:
print(msg % args)
def __del__(self):
self.finish()
def finish(self, msg=None):
"""Add a final message; flush the message list if no parent profiler.
"""
if self._finished or self.disable:
return
self._finished = True
if msg is not None:
self(msg)
tot_ms = (perf_counter() - self._firstTime) * 1000
self._newMsg(
"< Exiting %s, total time: %0.4f ms",
self._name,
tot_ms,
)
if tot_ms < self._mt:
# print(f'{tot_ms} < {self._mt}, clearing')
# NOTE: this list **must** be an instance var to avoid
# deleting common messages during GC I think?
self._msgs.clear()
# else:
# print(f'{tot_ms} > {self._mt}, not clearing')
# XXX: why is this needed?
# don't we **want to show** nested profiler messages?
if self._msgs: # and self._depth < 1:
# if self._msgs:
print("\n".join([m[0] % m[1] for m in self._msgs]))
# clear all entries
self._msgs.clear()
# type(self)._msgs = []
type(self)._depth -= 1

View File

@ -20,31 +20,22 @@ Broker clients, daemons and general back end machinery.
from importlib import import_module
from types import ModuleType
# TODO: move to urllib3/requests once supported
import asks
asks.init('trio')
__brokers__ = [
'binance',
'questrade',
'robinhood',
'ib',
'kraken',
# broken but used to work
# 'questrade',
# 'robinhood',
# TODO: we should get on these stat!
# alpaca
# wstrade
# iex
# deribit
# kucoin
# bitso
]
def get_brokermod(brokername: str) -> ModuleType:
'''
Return the imported broker module by name.
'''
"""Return the imported broker module by name.
"""
module = import_module('.' + brokername, 'piker.brokers')
# we only allow monkeying because it's for internal keying
module.name = module.__name__.split('.')[-1]
@ -52,9 +43,7 @@ def get_brokermod(brokername: str) -> ModuleType:
def iter_brokermods():
'''
Iterate all built-in broker modules.
'''
"""Iterate all built-in broker modules.
"""
for name in __brokers__:
yield get_brokermod(name)

View File

@ -33,23 +33,15 @@ import asks
from fuzzywuzzy import process as fuzzy
import numpy as np
import tractor
from pydantic.dataclasses import dataclass
from pydantic import BaseModel
import wsproto
from .._cacheables import open_cached_client
from ._util import (
resproc,
SymbolNotFound,
DataUnavailable,
)
from ..log import (
get_logger,
get_console_log,
)
from ..data.types import Struct
from ..data._web_bs import (
open_autorecon_ws,
NoBsWs,
)
from ._util import resproc, SymbolNotFound
from ..log import get_logger, get_console_log
from ..data import ShmArray
from ..data._web_bs import open_autorecon_ws, NoBsWs
log = get_logger(__name__)
@ -87,14 +79,12 @@ _show_wap_in_history = False
# https://binance-docs.github.io/apidocs/spot/en/#exchange-information
class Pair(Struct, frozen=True):
class Pair(BaseModel):
symbol: str
status: str
baseAsset: str
baseAssetPrecision: int
cancelReplaceAllowed: bool
allowTrailingStop: bool
quoteAsset: str
quotePrecision: int
quoteAssetPrecision: int
@ -110,21 +100,18 @@ class Pair(Struct, frozen=True):
isSpotTradingAllowed: bool
isMarginTradingAllowed: bool
defaultSelfTradePreventionMode: str
allowedSelfTradePreventionModes: list[str]
filters: list[dict[str, Union[str, int, float]]]
permissions: list[str]
class OHLC(Struct):
'''
Description of the flattened OHLC quote format.
@dataclass
class OHLC:
"""Description of the flattened OHLC quote format.
For schema details see:
https://binance-docs.github.io/apidocs/spot/en/#kline-candlestick-streams
'''
"""
time: int
open: float
@ -147,9 +134,7 @@ class OHLC(Struct):
# convert datetime obj timestamp to unixtime in milliseconds
def binance_timestamp(
when: datetime
) -> int:
def binance_timestamp(when):
return int((when.timestamp() * 1000) + (when.microsecond / 1000))
@ -188,7 +173,7 @@ class Client:
params = {}
if sym is not None:
sym = sym.lower()
sym = sym.upper()
params = {'symbol': sym}
resp = await self._api(
@ -245,7 +230,7 @@ class Client:
) -> dict:
if end_dt is None:
end_dt = pendulum.now('UTC').add(minutes=1)
end_dt = pendulum.now('UTC')
if start_dt is None:
start_dt = end_dt.start_of(
@ -275,7 +260,6 @@ class Client:
for i, bar in enumerate(bars):
bar = OHLC(*bar)
bar.typecast()
row = []
for j, (name, ftype) in enumerate(_ohlc_dtype[1:]):
@ -303,7 +287,7 @@ async def get_client() -> Client:
# validation type
class AggTrade(Struct):
class AggTrade(BaseModel):
e: str # Event type
E: int # Event time
s: str # Symbol
@ -357,9 +341,7 @@ async def stream_messages(ws: NoBsWs) -> AsyncGenerator[NoBsWs, dict]:
elif msg.get('e') == 'aggTrade':
# NOTE: this is purely for a definition, ``msgspec.Struct``
# does not runtime-validate until you decode/encode.
# see: https://jcristharif.com/msgspec/structs.html#type-validation
# validate
msg = AggTrade(**msg)
# TODO: type out and require this quote format
@ -370,8 +352,8 @@ async def stream_messages(ws: NoBsWs) -> AsyncGenerator[NoBsWs, dict]:
'brokerd_ts': time.time(),
'ticks': [{
'type': 'trade',
'price': float(msg.p),
'size': float(msg.q),
'price': msg.p,
'size': msg.q,
'broker_ts': msg.T,
}],
}
@ -402,39 +384,41 @@ async def open_history_client(
async with open_cached_client('binance') as client:
async def get_ohlc(
timeframe: float,
end_dt: datetime | None = None,
start_dt: datetime | None = None,
end_dt: Optional[datetime] = None,
start_dt: Optional[datetime] = None,
) -> tuple[
np.ndarray,
datetime, # start
datetime, # end
]:
if timeframe != 60:
raise DataUnavailable('Only 1m bars are supported')
array = await client.bars(
symbol,
start_dt=start_dt,
end_dt=end_dt,
)
times = array['time']
if (
end_dt is None
):
inow = round(time.time())
if (inow - times[-1]) > 60:
await tractor.breakpoint()
start_dt = pendulum.from_timestamp(times[0])
end_dt = pendulum.from_timestamp(times[-1])
start_dt = pendulum.from_timestamp(array[0]['time'])
end_dt = pendulum.from_timestamp(array[-1]['time'])
return array, start_dt, end_dt
yield get_ohlc, {'erlangs': 3, 'rate': 3}
async def backfill_bars(
sym: str,
shm: ShmArray, # type: ignore # noqa
task_status: TaskStatus[trio.CancelScope] = trio.TASK_STATUS_IGNORED,
) -> None:
"""Fill historical bars into shared mem / storage afap.
"""
with trio.CancelScope() as cs:
async with open_cached_client('binance') as client:
bars = await client.bars(symbol=sym)
shm.push(bars)
task_status.started(cs)
async def stream_quotes(
send_chan: trio.abc.SendChannel,
@ -464,20 +448,12 @@ async def stream_quotes(
d = cache[sym.upper()]
syminfo = Pair(**d) # validation
si = sym_infos[sym] = syminfo.to_dict()
filters = {}
for entry in syminfo.filters:
ftype = entry['filterType']
filters[ftype] = entry
si = sym_infos[sym] = syminfo.dict()
# XXX: after manually inspecting the response format we
# just directly pick out the info we need
si['price_tick_size'] = float(
filters['PRICE_FILTER']['tickSize']
)
si['lot_tick_size'] = float(
filters['LOT_SIZE']['stepSize']
)
si['price_tick_size'] = float(syminfo.filters[0]['tickSize'])
si['lot_tick_size'] = float(syminfo.filters[2]['stepSize'])
si['asset_type'] = 'crypto'
symbol = symbols[0]
@ -519,7 +495,6 @@ async def stream_quotes(
subs.append("{sym}@bookTicker")
# unsub from all pairs on teardown
if ws.connected():
await ws.send_msg({
"method": "UNSUBSCRIBE",
"params": subs,

View File

@ -29,15 +29,8 @@ import tractor
from ..cli import cli
from .. import watchlists as wl
from ..log import get_console_log, colorize_json, get_logger
from ..service import (
maybe_spawn_brokerd,
maybe_open_pikerd,
)
from ..brokers import (
core,
get_brokermod,
data,
)
from .._daemon import maybe_spawn_brokerd, maybe_open_pikerd
from ..brokers import core, get_brokermod, data
log = get_logger('cli')
DEFAULT_BROKER = 'questrade'
@ -46,148 +39,6 @@ _config_dir = click.get_app_dir('piker')
_watchlists_data_path = os.path.join(_config_dir, 'watchlists.json')
OK = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
def print_ok(s: str, **kwargs):
print(OK + s + ENDC, **kwargs)
def print_error(s: str, **kwargs):
print(FAIL + s + ENDC, **kwargs)
def get_method(client, meth_name: str):
print(f'checking client for method \'{meth_name}\'...', end='', flush=True)
method = getattr(client, meth_name, None)
assert method
print_ok('found!.')
return method
async def run_method(client, meth_name: str, **kwargs):
method = get_method(client, meth_name)
print('running...', end='', flush=True)
result = await method(**kwargs)
print_ok(f'done! result: {type(result)}')
return result
async def run_test(broker_name: str):
brokermod = get_brokermod(broker_name)
total = 0
passed = 0
failed = 0
print('getting client...', end='', flush=True)
if not hasattr(brokermod, 'get_client'):
print_error('fail! no \'get_client\' context manager found.')
return
async with brokermod.get_client(is_brokercheck=True) as client:
print_ok('done! inside client context.')
# check for methods present on brokermod
method_list = [
'backfill_bars',
'get_client',
'trades_dialogue',
'open_history_client',
'open_symbol_search',
'stream_quotes',
]
for method in method_list:
print(
f'checking brokermod for method \'{method}\'...',
end='', flush=True)
if not hasattr(brokermod, method):
print_error(f'fail! method \'{method}\' not found.')
failed += 1
else:
print_ok('done!')
passed += 1
total += 1
# check for methods present con brokermod.Client and their
# results
# for private methods only check is present
method_list = [
'get_balances',
'get_assets',
'get_trades',
'get_xfers',
'submit_limit',
'submit_cancel',
'search_symbols',
]
for method_name in method_list:
try:
get_method(client, method_name)
passed += 1
except AssertionError:
print_error(f'fail! method \'{method_name}\' not found.')
failed += 1
total += 1
# check for methods present con brokermod.Client and their
# results
syms = await run_method(client, 'symbol_info')
total += 1
if len(syms) == 0:
raise BaseException('Empty Symbol list?')
passed += 1
first_sym = tuple(syms.keys())[0]
method_list = [
('cache_symbols', {}),
('search_symbols', {'pattern': first_sym[:-1]}),
('bars', {'symbol': first_sym})
]
for method_name, method_kwargs in method_list:
try:
await run_method(client, method_name, **method_kwargs)
passed += 1
except AssertionError:
print_error(f'fail! method \'{method_name}\' not found.')
failed += 1
total += 1
print(f'total: {total}, passed: {passed}, failed: {failed}')
@cli.command()
@click.argument('broker', nargs=1, required=True)
@click.pass_obj
def brokercheck(config, broker):
'''
Test broker apis for completeness.
'''
async def bcheck_main():
async with maybe_spawn_brokerd(broker) as portal:
await portal.run(run_test, broker)
await portal.cancel_actor()
trio.run(run_test, broker)
@cli.command()
@click.option('--keys', '-k', multiple=True,
help='Return results only for these keys')

View File

@ -28,7 +28,7 @@ import trio
from ..log import get_logger
from . import get_brokermod
from ..service import maybe_spawn_brokerd
from .._daemon import maybe_spawn_brokerd
from .._cacheables import open_cached_client

View File

@ -227,28 +227,26 @@ async def get_cached_feed(
@tractor.stream
async def start_quote_stream(
stream: tractor.Context, # marks this as a streaming func
ctx: tractor.Context, # marks this as a streaming func
broker: str,
symbols: List[Any],
feed_type: str = 'stock',
rate: int = 3,
) -> None:
'''
Handle per-broker quote stream subscriptions using a "lazy" pub-sub
"""Handle per-broker quote stream subscriptions using a "lazy" pub-sub
pattern.
Spawns new quoter tasks for each broker backend on-demand.
Since most brokers seems to support batch quote requests we
limit to one task per process (for now).
'''
"""
# XXX: why do we need this again?
get_console_log(tractor.current_actor().loglevel)
# pull global vars from local actor
symbols = list(symbols)
log.info(
f"{stream.chan.uid} subscribed to {broker} for symbols {symbols}")
f"{ctx.chan.uid} subscribed to {broker} for symbols {symbols}")
# another actor task may have already created it
async with get_cached_feed(broker) as feed:
@ -292,13 +290,13 @@ async def start_quote_stream(
assert fquote['displayable']
payload[sym] = fquote
await stream.send_yield(payload)
await ctx.send_yield(payload)
await stream_poll_requests(
# ``trionics.msgpub`` required kwargs
task_name=feed_type,
ctx=stream,
ctx=ctx,
topics=symbols,
packetizer=feed.mod.packetizer,
@ -321,11 +319,9 @@ async def call_client(
class DataFeed:
'''
Data feed client for streaming symbol data from and making API
client calls to a (remote) ``brokerd`` daemon.
'''
"""Data feed client for streaming symbol data from and making API client calls
to a (remote) ``brokerd`` daemon.
"""
_allowed = ('stock', 'option')
def __init__(self, portal, brokermod):

View File

@ -1,70 +0,0 @@
``deribit`` backend
------------------
pretty good liquidity crypto derivatives, uses custom json rpc over ws for
client methods, then `cryptofeed` for data streams.
status
******
- supports option charts
- no order support yet
config
******
In order to get order mode support your ``brokers.toml``
needs to have something like the following:
.. code:: toml
[deribit]
key_id = 'XXXXXXXX'
key_secret = 'Xx_XxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXx'
To obtain an api id and secret you need to create an account, which can be a
real market account over at:
- deribit.com (requires KYC for deposit address)
Or a testnet account over at:
- test.deribit.com
For testnet once the account is created here is how you deposit fake crypto to
try it out:
1) Go to Wallet:
.. figure:: assets/0_wallet.png
:align: center
:target: assets/0_wallet.png
:alt: wallet page
2) Then click on the elipsis menu and select deposit
.. figure:: assets/1_wallet_select_deposit.png
:align: center
:target: assets/1_wallet_select_deposit.png
:alt: wallet deposit page
3) This will take you to the deposit address page
.. figure:: assets/2_gen_deposit_addr.png
:align: center
:target: assets/2_gen_deposit_addr.png
:alt: generate deposit address page
4) After clicking generate you should see the address, copy it and go to the
`coin faucet <https://test.deribit.com/dericoin/BTC/deposit>`_ and send fake
coins to that address.
.. figure:: assets/3_deposit_address.png
:align: center
:target: assets/3_deposit_address.png
:alt: generated address
5) Back in the deposit address page you should see the deposit in your history
.. figure:: assets/4_wallet_deposit_history.png
:align: center
:target: assets/4_wallet_deposit_history.png
:alt: wallet deposit history

View File

@ -1,65 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Guillermo Rodriguez (in stewardship for piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Deribit backend.
'''
from piker.log import get_logger
log = get_logger(__name__)
from .api import (
get_client,
)
from .feed import (
open_history_client,
open_symbol_search,
stream_quotes,
backfill_bars
)
# from .broker import (
# trades_dialogue,
# norm_trade_records,
# )
__all__ = [
'get_client',
# 'trades_dialogue',
'open_history_client',
'open_symbol_search',
'stream_quotes',
# 'norm_trade_records',
]
# tractor RPC enable arg
__enable_modules__: list[str] = [
'api',
'feed',
# 'broker',
]
# passed to ``tractor.ActorNursery.start_actor()``
_spawn_kwargs = {
'infect_asyncio': True,
}
# annotation to let backend agnostic code
# know if ``brokerd`` should be spawned with
# ``tractor``'s aio mode.
_infect_asyncio: bool = True

View File

@ -1,672 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Guillermo Rodriguez (in stewardship for piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Deribit backend.
'''
import json
import time
import asyncio
from contextlib import asynccontextmanager as acm, AsyncExitStack
from functools import partial
from datetime import datetime
from typing import Any, Optional, Iterable, Callable
import pendulum
import asks
import trio
from trio_typing import Nursery, TaskStatus
from fuzzywuzzy import process as fuzzy
import numpy as np
from piker.data.types import Struct
from piker.data._web_bs import (
NoBsWs,
open_autorecon_ws,
open_jsonrpc_session
)
from .._util import resproc
from piker import config
from piker.log import get_logger
from tractor.trionics import (
broadcast_receiver,
BroadcastReceiver,
maybe_open_context
)
from tractor import to_asyncio
from cryptofeed import FeedHandler
from cryptofeed.defines import (
DERIBIT,
L1_BOOK, TRADES,
OPTION, CALL, PUT
)
from cryptofeed.symbols import Symbol
log = get_logger(__name__)
_spawn_kwargs = {
'infect_asyncio': True,
}
_url = 'https://www.deribit.com'
_ws_url = 'wss://www.deribit.com/ws/api/v2'
_testnet_ws_url = 'wss://test.deribit.com/ws/api/v2'
# Broker specific ohlc schema (rest)
_ohlc_dtype = [
('index', int),
('time', int),
('open', float),
('high', float),
('low', float),
('close', float),
('volume', float),
('bar_wap', float), # will be zeroed by sampler if not filled
]
class JSONRPCResult(Struct):
jsonrpc: str = '2.0'
id: int
result: Optional[dict] = None
error: Optional[dict] = None
usIn: int
usOut: int
usDiff: int
testnet: bool
class JSONRPCChannel(Struct):
jsonrpc: str = '2.0'
method: str
params: dict
class KLinesResult(Struct):
close: list[float]
cost: list[float]
high: list[float]
low: list[float]
open: list[float]
status: str
ticks: list[int]
volume: list[float]
class Trade(Struct):
trade_seq: int
trade_id: str
timestamp: int
tick_direction: int
price: float
mark_price: float
iv: float
instrument_name: str
index_price: float
direction: str
combo_trade_id: Optional[int] = 0,
combo_id: Optional[str] = '',
amount: float
class LastTradesResult(Struct):
trades: list[Trade]
has_more: bool
# convert datetime obj timestamp to unixtime in milliseconds
def deribit_timestamp(when):
return int((when.timestamp() * 1000) + (when.microsecond / 1000))
def str_to_cb_sym(name: str) -> Symbol:
base, strike_price, expiry_date, option_type = name.split('-')
quote = base
if option_type == 'put':
option_type = PUT
elif option_type == 'call':
option_type = CALL
else:
raise Exception("Couldn\'t parse option type")
return Symbol(
base, quote,
type=OPTION,
strike_price=strike_price,
option_type=option_type,
expiry_date=expiry_date,
expiry_normalize=False)
def piker_sym_to_cb_sym(name: str) -> Symbol:
base, expiry_date, strike_price, option_type = tuple(
name.upper().split('-'))
quote = base
if option_type == 'P':
option_type = PUT
elif option_type == 'C':
option_type = CALL
else:
raise Exception("Couldn\'t parse option type")
return Symbol(
base, quote,
type=OPTION,
strike_price=strike_price,
option_type=option_type,
expiry_date=expiry_date.upper())
def cb_sym_to_deribit_inst(sym: Symbol):
# cryptofeed normalized
cb_norm = ['F', 'G', 'H', 'J', 'K', 'M', 'N', 'Q', 'U', 'V', 'X', 'Z']
# deribit specific
months = ['JAN', 'FEB', 'MAR', 'APR', 'MAY', 'JUN', 'JUL', 'AUG', 'SEP', 'OCT', 'NOV', 'DEC']
exp = sym.expiry_date
# YYMDD
# 01234
year, month, day = (
exp[:2], months[cb_norm.index(exp[2:3])], exp[3:])
otype = 'C' if sym.option_type == CALL else 'P'
return f'{sym.base}-{day}{month}{year}-{sym.strike_price}-{otype}'
def get_config() -> dict[str, Any]:
conf, path = config.load()
section = conf.get('deribit')
# TODO: document why we send this, basically because logging params for cryptofeed
conf['log'] = {}
conf['log']['disabled'] = True
if section is None:
log.warning(f'No config section found for deribit in {path}')
return conf
class Client:
def __init__(self, json_rpc: Callable) -> None:
self._pairs: dict[str, Any] = None
config = get_config().get('deribit', {})
if ('key_id' in config) and ('key_secret' in config):
self._key_id = config['key_id']
self._key_secret = config['key_secret']
else:
self._key_id = None
self._key_secret = None
self.json_rpc = json_rpc
@property
def currencies(self):
return ['btc', 'eth', 'sol', 'usd']
async def get_balances(self, kind: str = 'option') -> dict[str, float]:
"""Return the set of positions for this account
by symbol.
"""
balances = {}
for currency in self.currencies:
resp = await self.json_rpc(
'private/get_positions', params={
'currency': currency.upper(),
'kind': kind})
balances[currency] = resp.result
return balances
async def get_assets(self) -> dict[str, float]:
"""Return the set of asset balances for this account
by symbol.
"""
balances = {}
for currency in self.currencies:
resp = await self.json_rpc(
'private/get_account_summary', params={
'currency': currency.upper()})
balances[currency] = resp.result['balance']
return balances
async def submit_limit(
self,
symbol: str,
price: float,
action: str,
size: float
) -> dict:
"""Place an order
"""
params = {
'instrument_name': symbol.upper(),
'amount': size,
'type': 'limit',
'price': price,
}
resp = await self.json_rpc(
f'private/{action}', params)
return resp.result
async def submit_cancel(self, oid: str):
"""Send cancel request for order id
"""
resp = await self.json_rpc(
'private/cancel', {'order_id': oid})
return resp.result
async def symbol_info(
self,
instrument: Optional[str] = None,
currency: str = 'btc', # BTC, ETH, SOL, USDC
kind: str = 'option',
expired: bool = False
) -> dict[str, Any]:
"""Get symbol info for the exchange.
"""
if self._pairs:
return self._pairs
# will retrieve all symbols by default
params = {
'currency': currency.upper(),
'kind': kind,
'expired': str(expired).lower()
}
resp = await self.json_rpc('public/get_instruments', params)
results = resp.result
instruments = {
item['instrument_name'].lower(): item
for item in results
}
if instrument is not None:
return instruments[instrument]
else:
return instruments
async def cache_symbols(
self,
) -> dict:
if not self._pairs:
self._pairs = await self.symbol_info()
return self._pairs
async def search_symbols(
self,
pattern: str,
limit: int = 30,
) -> dict[str, Any]:
data = await self.symbol_info()
matches = fuzzy.extractBests(
pattern,
data,
score_cutoff=35,
limit=limit
)
# repack in dict form
return {item[0]['instrument_name'].lower(): item[0]
for item in matches}
async def bars(
self,
symbol: str,
start_dt: Optional[datetime] = None,
end_dt: Optional[datetime] = None,
limit: int = 1000,
as_np: bool = True,
) -> dict:
instrument = symbol
if end_dt is None:
end_dt = pendulum.now('UTC')
if start_dt is None:
start_dt = end_dt.start_of(
'minute').subtract(minutes=limit)
start_time = deribit_timestamp(start_dt)
end_time = deribit_timestamp(end_dt)
# https://docs.deribit.com/#public-get_tradingview_chart_data
resp = await self.json_rpc(
'public/get_tradingview_chart_data',
params={
'instrument_name': instrument.upper(),
'start_timestamp': start_time,
'end_timestamp': end_time,
'resolution': '1'
})
result = KLinesResult(**resp.result)
new_bars = []
for i in range(len(result.close)):
_open = result.open[i]
high = result.high[i]
low = result.low[i]
close = result.close[i]
volume = result.volume[i]
row = [
(start_time + (i * (60 * 1000))) / 1000.0, # time
result.open[i],
result.high[i],
result.low[i],
result.close[i],
result.volume[i],
0
]
new_bars.append((i,) + tuple(row))
array = np.array(new_bars, dtype=_ohlc_dtype) if as_np else klines
return array
async def last_trades(
self,
instrument: str,
count: int = 10
):
resp = await self.json_rpc(
'public/get_last_trades_by_instrument',
params={
'instrument_name': instrument,
'count': count
})
return LastTradesResult(**resp.result)
@acm
async def get_client(
is_brokercheck: bool = False
) -> Client:
async with (
trio.open_nursery() as n,
open_jsonrpc_session(
_testnet_ws_url, dtype=JSONRPCResult) as json_rpc
):
client = Client(json_rpc)
_refresh_token: Optional[str] = None
_access_token: Optional[str] = None
async def _auth_loop(
task_status: TaskStatus = trio.TASK_STATUS_IGNORED
):
"""Background task that adquires a first access token and then will
refresh the access token while the nursery isn't cancelled.
https://docs.deribit.com/?python#authentication-2
"""
renew_time = 10
access_scope = 'trade:read_write'
_expiry_time = time.time()
got_access = False
nonlocal _refresh_token
nonlocal _access_token
while True:
if time.time() - _expiry_time < renew_time:
# if we are close to token expiry time
if _refresh_token != None:
# if we have a refresh token already dont need to send
# secret
params = {
'grant_type': 'refresh_token',
'refresh_token': _refresh_token,
'scope': access_scope
}
else:
# we don't have refresh token, send secret to initialize
params = {
'grant_type': 'client_credentials',
'client_id': client._key_id,
'client_secret': client._key_secret,
'scope': access_scope
}
resp = await json_rpc('public/auth', params)
result = resp.result
_expiry_time = time.time() + result['expires_in']
_refresh_token = result['refresh_token']
if 'access_token' in result:
_access_token = result['access_token']
if not got_access:
# first time this loop runs we must indicate task is
# started, we have auth
got_access = True
task_status.started()
else:
await trio.sleep(renew_time / 2)
# if we have client creds launch auth loop
if client._key_id is not None:
await n.start(_auth_loop)
await client.cache_symbols()
yield client
n.cancel_scope.cancel()
@acm
async def open_feed_handler():
fh = FeedHandler(config=get_config())
yield fh
await to_asyncio.run_task(fh.stop_async)
@acm
async def maybe_open_feed_handler() -> trio.abc.ReceiveStream:
async with maybe_open_context(
acm_func=open_feed_handler,
key='feedhandler',
) as (cache_hit, fh):
yield fh
async def aio_price_feed_relay(
fh: FeedHandler,
instrument: Symbol,
from_trio: asyncio.Queue,
to_trio: trio.abc.SendChannel,
) -> None:
async def _trade(data: dict, receipt_timestamp):
to_trio.send_nowait(('trade', {
'symbol': cb_sym_to_deribit_inst(
str_to_cb_sym(data.symbol)).lower(),
'last': data,
'broker_ts': time.time(),
'data': data.to_dict(),
'receipt': receipt_timestamp
}))
async def _l1(data: dict, receipt_timestamp):
to_trio.send_nowait(('l1', {
'symbol': cb_sym_to_deribit_inst(
str_to_cb_sym(data.symbol)).lower(),
'ticks': [
{'type': 'bid',
'price': float(data.bid_price), 'size': float(data.bid_size)},
{'type': 'bsize',
'price': float(data.bid_price), 'size': float(data.bid_size)},
{'type': 'ask',
'price': float(data.ask_price), 'size': float(data.ask_size)},
{'type': 'asize',
'price': float(data.ask_price), 'size': float(data.ask_size)}
]
}))
fh.add_feed(
DERIBIT,
channels=[TRADES, L1_BOOK],
symbols=[piker_sym_to_cb_sym(instrument)],
callbacks={
TRADES: _trade,
L1_BOOK: _l1
})
if not fh.running:
fh.run(
start_loop=False,
install_signal_handlers=False)
# sync with trio
to_trio.send_nowait(None)
await asyncio.sleep(float('inf'))
@acm
async def open_price_feed(
instrument: str
) -> trio.abc.ReceiveStream:
async with maybe_open_feed_handler() as fh:
async with to_asyncio.open_channel_from(
partial(
aio_price_feed_relay,
fh,
instrument
)
) as (first, chan):
yield chan
@acm
async def maybe_open_price_feed(
instrument: str
) -> trio.abc.ReceiveStream:
# TODO: add a predicate to maybe_open_context
async with maybe_open_context(
acm_func=open_price_feed,
kwargs={
'instrument': instrument
},
key=f'{instrument}-price',
) as (cache_hit, feed):
if cache_hit:
yield broadcast_receiver(feed, 10)
else:
yield feed
async def aio_order_feed_relay(
fh: FeedHandler,
instrument: Symbol,
from_trio: asyncio.Queue,
to_trio: trio.abc.SendChannel,
) -> None:
async def _fill(data: dict, receipt_timestamp):
breakpoint()
async def _order_info(data: dict, receipt_timestamp):
breakpoint()
fh.add_feed(
DERIBIT,
channels=[FILLS, ORDER_INFO],
symbols=[instrument.upper()],
callbacks={
FILLS: _fill,
ORDER_INFO: _order_info,
})
if not fh.running:
fh.run(
start_loop=False,
install_signal_handlers=False)
# sync with trio
to_trio.send_nowait(None)
await asyncio.sleep(float('inf'))
@acm
async def open_order_feed(
instrument: list[str]
) -> trio.abc.ReceiveStream:
async with maybe_open_feed_handler() as fh:
async with to_asyncio.open_channel_from(
partial(
aio_order_feed_relay,
fh,
instrument
)
) as (first, chan):
yield chan
@acm
async def maybe_open_order_feed(
instrument: str
) -> trio.abc.ReceiveStream:
# TODO: add a predicate to maybe_open_context
async with maybe_open_context(
acm_func=open_order_feed,
kwargs={
'instrument': instrument,
'fh': fh
},
key=f'{instrument}-order',
) as (cache_hit, feed):
if cache_hit:
yield broadcast_receiver(feed, 10)
else:
yield feed

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@ -1,185 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Guillermo Rodriguez (in stewardship for piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Deribit backend.
'''
from contextlib import asynccontextmanager as acm
from datetime import datetime
from typing import Any, Optional, Callable
import time
import trio
from trio_typing import TaskStatus
import pendulum
from fuzzywuzzy import process as fuzzy
import numpy as np
import tractor
from piker._cacheables import open_cached_client
from piker.log import get_logger, get_console_log
from piker.data import ShmArray
from piker.brokers._util import (
BrokerError,
DataUnavailable,
)
from cryptofeed import FeedHandler
from cryptofeed.defines import (
DERIBIT, L1_BOOK, TRADES, OPTION, CALL, PUT
)
from cryptofeed.symbols import Symbol
from .api import (
Client, Trade,
get_config,
str_to_cb_sym, piker_sym_to_cb_sym, cb_sym_to_deribit_inst,
maybe_open_price_feed
)
_spawn_kwargs = {
'infect_asyncio': True,
}
log = get_logger(__name__)
@acm
async def open_history_client(
instrument: str,
) -> tuple[Callable, int]:
# TODO implement history getter for the new storage layer.
async with open_cached_client('deribit') as client:
async def get_ohlc(
end_dt: Optional[datetime] = None,
start_dt: Optional[datetime] = None,
) -> tuple[
np.ndarray,
datetime, # start
datetime, # end
]:
array = await client.bars(
instrument,
start_dt=start_dt,
end_dt=end_dt,
)
if len(array) == 0:
raise DataUnavailable
start_dt = pendulum.from_timestamp(array[0]['time'])
end_dt = pendulum.from_timestamp(array[-1]['time'])
return array, start_dt, end_dt
yield get_ohlc, {'erlangs': 3, 'rate': 3}
async def stream_quotes(
send_chan: trio.abc.SendChannel,
symbols: list[str],
feed_is_live: trio.Event,
loglevel: str = None,
# startup sync
task_status: TaskStatus[tuple[dict, dict]] = trio.TASK_STATUS_IGNORED,
) -> None:
# XXX: required to propagate ``tractor`` loglevel to piker logging
get_console_log(loglevel or tractor.current_actor().loglevel)
sym = symbols[0]
async with (
open_cached_client('deribit') as client,
send_chan as send_chan
):
init_msgs = {
# pass back token, and bool, signalling if we're the writer
# and that history has been written
sym: {
'symbol_info': {
'asset_type': 'option',
'price_tick_size': 0.0005
},
'shm_write_opts': {'sum_tick_vml': False},
'fqsn': sym,
},
}
nsym = piker_sym_to_cb_sym(sym)
async with maybe_open_price_feed(sym) as stream:
cache = await client.cache_symbols()
last_trades = (await client.last_trades(
cb_sym_to_deribit_inst(nsym), count=1)).trades
if len(last_trades) == 0:
last_trade = None
async for typ, quote in stream:
if typ == 'trade':
last_trade = Trade(**(quote['data']))
break
else:
last_trade = Trade(**(last_trades[0]))
first_quote = {
'symbol': sym,
'last': last_trade.price,
'brokerd_ts': last_trade.timestamp,
'ticks': [{
'type': 'trade',
'price': last_trade.price,
'size': last_trade.amount,
'broker_ts': last_trade.timestamp
}]
}
task_status.started((init_msgs, first_quote))
feed_is_live.set()
async for typ, quote in stream:
topic = quote['symbol']
await send_chan.send({topic: quote})
@tractor.context
async def open_symbol_search(
ctx: tractor.Context,
) -> Client:
async with open_cached_client('deribit') as client:
# load all symbols locally for fast search
cache = await client.cache_symbols()
await ctx.started()
async with ctx.open_stream() as stream:
async for pattern in stream:
# repack in dict form
await stream.send(
await client.search_symbols(pattern))

View File

@ -1,134 +0,0 @@
``ib`` backend
--------------
more or less the "everything broker" for traditional and international
markets. they are the "go to" provider for automatic retail trading
and we interface to their APIs using the `ib_insync` project.
status
******
current support is *production grade* and both real-time data and order
management should be correct and fast. this backend is used by core devs
for live trading.
currently there is not yet full support for:
- options charting and trading
- paxos based crypto rt feeds and trading
config
******
In order to get order mode support your ``brokers.toml``
needs to have something like the following:
.. code:: toml
[ib]
hosts = [
"127.0.0.1",
]
# TODO: when we eventually spawn gateways in our
# container, we can just dynamically allocate these
# using IBC.
ports = [
4002,
4003,
4006,
4001,
7497,
]
# XXX: for a paper account the flex web query service
# is not supported so you have to manually download
# and XML report and put it in a location that can be
# accessed by the ``brokerd.ib`` backend code for parsing.
flex_token = '1111111111111111'
flex_trades_query_id = '6969696' # live accounts only?
# 3rd party web-api token
# (XXX: not sure if this works yet)
trade_log_token = '111111111111111'
# when clients are being scanned this determines
# which clients are preferred to be used for data feeds
# based on account names which are detected as active
# on each client.
prefer_data_account = [
# this has to be first in order to make data work with dual paper + live
'main',
'algopaper',
]
[ib.accounts]
main = 'U69696969'
algopaper = 'DU9696969'
If everything works correctly you should see any current positions
loaded in the pps pane on chart load and you should also be able to
check your trade records in the file::
<pikerk_conf_dir>/ledgers/trades_ib_algopaper.toml
An example ledger file will have entries written verbatim from the
trade events schema:
.. code:: toml
["0000e1a7.630f5e5a.01.01"]
secType = "FUT"
conId = 515416577
symbol = "MNQ"
lastTradeDateOrContractMonth = "20221216"
strike = 0.0
right = ""
multiplier = "2"
exchange = "GLOBEX"
primaryExchange = ""
currency = "USD"
localSymbol = "MNQZ2"
tradingClass = "MNQ"
includeExpired = false
secIdType = ""
secId = ""
comboLegsDescrip = ""
comboLegs = []
execId = "0000e1a7.630f5e5a.01.01"
time = 1661972086.0
acctNumber = "DU69696969"
side = "BOT"
shares = 1.0
price = 12372.75
permId = 441472655
clientId = 6116
orderId = 985
liquidation = 0
cumQty = 1.0
avgPrice = 12372.75
orderRef = ""
evRule = ""
evMultiplier = 0.0
modelCode = ""
lastLiquidity = 1
broker_time = 1661972086.0
name = "ib"
commission = 0.57
realizedPNL = 243.41
yield_ = 0.0
yieldRedemptionDate = 0
listingExchange = "GLOBEX"
date = "2022-08-31T18:54:46+00:00"
your ``pps.toml`` file will have position entries like,
.. code:: toml
[ib.algopaper."mnq.globex.20221216"]
size = -1.0
ppu = 12423.630576923071
bsuid = 515416577
expiry = "2022-12-16T00:00:00+00:00"
clears = [
{ dt = "2022-08-31T18:54:46+00:00", ppu = 12423.630576923071, accum_size = -19.0, price = 12372.75, size = 1.0, cost = 0.57, tid = "0000e1a7.630f5e5a.01.01" },
]

View File

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

View File

@ -1,187 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
``ib`` utilities and hacks suitable for use in the backend and/or as
runnable script-programs.
'''
from typing import Literal
import subprocess
import tractor
_reset_tech: Literal[
'vnc',
'i3ipc_xdotool',
# TODO: in theory we can use a different linux DE API or
# some other type of similar window scanning/mgmt client
# (on other OSs) to do the same.
] = 'vnc'
async def data_reset_hack(
reset_type: str = 'data',
) -> None:
'''
Run key combos for resetting data feeds and yield back to caller
when complete.
NOTE: this is a linux-only hack around!
There are multiple "techs" you can use depending on your infra setup:
- if running ib-gw in a container with a VNC server running the most
performant method is the `'vnc'` option.
- if running ib-gw/tws locally, and you are using `i3` you can use
the ``i3ipc`` lib and ``xdotool`` to send the appropriate click
and key-combos automatically to your local desktop's java X-apps.
https://interactivebrokers.github.io/tws-api/historical_limitations.html#pacing_violations
TODOs:
- a return type that hopefully determines if the hack was
successful.
- other OS support?
- integration with ``ib-gw`` run in docker + Xorg?
- is it possible to offer a local server that can be accessed by
a client? Would be sure be handy for running native java blobs
that need to be wrangle.
'''
global _reset_tech
match _reset_tech:
case 'vnc':
try:
await tractor.to_asyncio.run_task(vnc_click_hack)
except OSError:
_reset_tech = 'i3ipc_xdotool'
try:
i3ipc_xdotool_manual_click_hack()
return True
except OSError:
return False
case 'i3ipc_xdotool':
i3ipc_xdotool_manual_click_hack()
case _ as tech:
raise RuntimeError(f'{tech} is not supported for reset tech!?')
# we don't really need the ``xdotool`` approach any more B)
return True
async def vnc_click_hack(
reset_type: str = 'data'
) -> None:
'''
Reset the data or netowork connection for the VNC attached
ib gateway using magic combos.
'''
key = {'data': 'f', 'connection': 'r'}[reset_type]
import asyncvnc
async with asyncvnc.connect(
'localhost',
port=3003,
# password='ibcansmbz',
) as client:
# move to middle of screen
# 640x1800
client.mouse.move(
x=500,
y=500,
)
client.mouse.click()
client.keyboard.press('Ctrl', 'Alt', key) # keys are stacked
def i3ipc_xdotool_manual_click_hack() -> None:
import i3ipc
i3 = i3ipc.Connection()
t = i3.get_tree()
orig_win_id = t.find_focused().window
# for tws
win_names: list[str] = [
'Interactive Brokers', # tws running in i3
'IB Gateway', # gw running in i3
# 'IB', # gw running in i3 (newer version?)
]
for name in win_names:
results = t.find_titled(name)
print(f'results for {name}: {results}')
if results:
con = results[0]
print(f'Resetting data feed for {name}')
win_id = str(con.window)
w, h = con.rect.width, con.rect.height
# TODO: seems to be a few libs for python but not sure
# if they support all the sub commands we need, order of
# most recent commit history:
# https://github.com/rr-/pyxdotool
# https://github.com/ShaneHutter/pyxdotool
# https://github.com/cphyc/pyxdotool
# TODO: only run the reconnect (2nd) kc on a detected
# disconnect?
for key_combo, timeout in [
# only required if we need a connection reset.
# ('ctrl+alt+r', 12),
# data feed reset.
('ctrl+alt+f', 6)
]:
subprocess.call([
'xdotool',
'windowactivate', '--sync', win_id,
# move mouse to bottom left of window (where there should
# be nothing to click).
'mousemove_relative', '--sync', str(w-4), str(h-4),
# NOTE: we may need to stick a `--retry 3` in here..
'click', '--window', win_id,
'--repeat', '3', '1',
# hackzorzes
'key', key_combo,
],
timeout=timeout,
)
# re-activate and focus original window
try:
subprocess.call([
'xdotool',
'windowactivate', '--sync', str(orig_win_id),
'click', '--window', str(orig_win_id), '1',
])
except subprocess.TimeoutExpired:
log.exception(f'xdotool timed out?')

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@ -1,64 +0,0 @@
``kraken`` backend
------------------
though they don't have the most liquidity of all the cexes they sure are
accommodating to those of us who appreciate a little ``xmr``.
status
******
current support is *production grade* and both real-time data and order
management should be correct and fast. this backend is used by core devs
for live trading.
config
******
In order to get order mode support your ``brokers.toml``
needs to have something like the following:
.. code:: toml
[kraken]
accounts.spot = 'spot'
key_descr = "spot"
api_key = "69696969696969696696969696969696969696969696969696969696"
secret = "BOOBSBOOBSBOOBSBOOBSBOOBSSMBZ69696969696969669969696969696"
If everything works correctly you should see any current positions
loaded in the pps pane on chart load and you should also be able to
check your trade records in the file::
<pikerk_conf_dir>/ledgers/trades_kraken_spot.toml
An example ledger file will have entries written verbatim from the
trade events schema:
.. code:: toml
[TFJBKK-SMBZS-VJ4UWS]
ordertxid = "SMBZSA-7CNQU-3HWLNJ"
postxid = "SMBZSE-M7IF5-CFI7LT"
pair = "XXMRZEUR"
time = 1655691993.4133966
type = "buy"
ordertype = "limit"
price = "103.97000000"
cost = "499.99999977"
fee = "0.80000000"
vol = "4.80907954"
margin = "0.00000000"
misc = ""
your ``pps.toml`` file will have position entries like,
.. code:: toml
[kraken.spot."xmreur.kraken"]
size = 4.80907954
ppu = 103.97000000
bsuid = "XXMRZEUR"
clears = [
{ tid = "TFJBKK-SMBZS-VJ4UWS", cost = 0.8, price = 103.97, size = 4.80907954, dt = "2022-05-20T02:26:33.413397+00:00" },
]

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@ -1,61 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Kraken backend.
Sub-modules within break into the core functionalities:
- ``broker.py`` part for orders / trading endpoints
- ``feed.py`` for real-time data feed endpoints
- ``api.py`` for the core API machinery which is ``trio``-ized
wrapping around ``ib_insync``.
'''
from piker.log import get_logger
log = get_logger(__name__)
from .api import (
get_client,
)
from .feed import (
open_history_client,
open_symbol_search,
stream_quotes,
)
from .broker import (
trades_dialogue,
norm_trade_records,
)
__all__ = [
'get_client',
'trades_dialogue',
'open_history_client',
'open_symbol_search',
'stream_quotes',
'norm_trade_records',
]
# tractor RPC enable arg
__enable_modules__: list[str] = [
'api',
'feed',
'broker',
]

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@ -1,621 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Kraken web API wrapping.
'''
from contextlib import asynccontextmanager as acm
from datetime import datetime
import itertools
from typing import (
Any,
Optional,
Union,
)
import time
from bidict import bidict
import pendulum
import asks
from fuzzywuzzy import process as fuzzy
import numpy as np
import urllib.parse
import hashlib
import hmac
import base64
import trio
from piker import config
from piker.data.types import Struct
from piker.data._source import Symbol
from piker.brokers._util import (
resproc,
SymbolNotFound,
BrokerError,
DataThrottle,
)
from piker.pp import Transaction
from . import log
# <uri>/<version>/
_url = 'https://api.kraken.com/0'
# Broker specific ohlc schema which includes a vwap field
_ohlc_dtype = [
('index', int),
('time', int),
('open', float),
('high', float),
('low', float),
('close', float),
('volume', float),
('count', int),
('bar_wap', float),
]
# UI components allow this to be declared such that additional
# (historical) fields can be exposed.
ohlc_dtype = np.dtype(_ohlc_dtype)
_show_wap_in_history = True
_symbol_info_translation: dict[str, str] = {
'tick_decimals': 'pair_decimals',
}
def get_config() -> dict[str, Any]:
conf, path = config.load()
section = conf.get('kraken')
if section is None:
log.warning(f'No config section found for kraken in {path}')
return {}
return section
def get_kraken_signature(
urlpath: str,
data: dict[str, Any],
secret: str
) -> str:
postdata = urllib.parse.urlencode(data)
encoded = (str(data['nonce']) + postdata).encode()
message = urlpath.encode() + hashlib.sha256(encoded).digest()
mac = hmac.new(base64.b64decode(secret), message, hashlib.sha512)
sigdigest = base64.b64encode(mac.digest())
return sigdigest.decode()
class InvalidKey(ValueError):
'''
EAPI:Invalid key
This error is returned when the API key used for the call is
either expired or disabled, please review the API key in your
Settings -> API tab of account management or generate a new one
and update your application.
'''
# https://www.kraken.com/features/api#get-tradable-pairs
class Pair(Struct):
altname: str # alternate pair name
wsname: str # WebSocket pair name (if available)
aclass_base: str # asset class of base component
base: str # asset id of base component
aclass_quote: str # asset class of quote component
quote: str # asset id of quote component
lot: str # volume lot size
cost_decimals: int
costmin: float
pair_decimals: int # scaling decimal places for pair
lot_decimals: int # scaling decimal places for volume
# amount to multiply lot volume by to get currency volume
lot_multiplier: float
# array of leverage amounts available when buying
leverage_buy: list[int]
# array of leverage amounts available when selling
leverage_sell: list[int]
# fee schedule array in [volume, percent fee] tuples
fees: list[tuple[int, float]]
# maker fee schedule array in [volume, percent fee] tuples (if on
# maker/taker)
fees_maker: list[tuple[int, float]]
fee_volume_currency: str # volume discount currency
margin_call: str # margin call level
margin_stop: str # stop-out/liquidation margin level
ordermin: float # minimum order volume for pair
tick_size: float # min price step size
status: str
short_position_limit: float = 0
long_position_limit: float = float('inf')
class Client:
# global symbol normalization table
_ntable: dict[str, str] = {}
_atable: bidict[str, str] = bidict()
_pairs: dict[str, Pair] = {}
def __init__(
self,
config: dict[str, str],
name: str = '',
api_key: str = '',
secret: str = ''
) -> None:
self._sesh = asks.Session(connections=4)
self._sesh.base_location = _url
self._sesh.headers.update({
'User-Agent':
'krakenex/2.1.0 (+https://github.com/veox/python3-krakenex)'
})
self.conf: dict[str, str] = config
self._name = name
self._api_key = api_key
self._secret = secret
@property
def pairs(self) -> dict[str, Pair]:
if self._pairs is None:
raise RuntimeError(
"Make sure to run `cache_symbols()` on startup!"
)
# retreive and cache all symbols
return self._pairs
async def _public(
self,
method: str,
data: dict,
) -> dict[str, Any]:
resp = await self._sesh.post(
path=f'/public/{method}',
json=data,
timeout=float('inf')
)
return resproc(resp, log)
async def _private(
self,
method: str,
data: dict,
uri_path: str
) -> dict[str, Any]:
headers = {
'Content-Type':
'application/x-www-form-urlencoded',
'API-Key':
self._api_key,
'API-Sign':
get_kraken_signature(uri_path, data, self._secret)
}
resp = await self._sesh.post(
path=f'/private/{method}',
data=data,
headers=headers,
timeout=float('inf')
)
return resproc(resp, log)
async def endpoint(
self,
method: str,
data: dict[str, Any]
) -> dict[str, Any]:
uri_path = f'/0/private/{method}'
data['nonce'] = str(int(1000*time.time()))
return await self._private(method, data, uri_path)
async def get_balances(
self,
) -> dict[str, float]:
'''
Return the set of asset balances for this account
by symbol.
'''
resp = await self.endpoint(
'Balance',
{},
)
by_bsuid = resp['result']
return {
self._atable[sym].lower(): float(bal)
for sym, bal in by_bsuid.items()
}
async def get_assets(self) -> dict[str, dict]:
resp = await self._public('Assets', {})
return resp['result']
async def cache_assets(self) -> None:
assets = self.assets = await self.get_assets()
for bsuid, info in assets.items():
self._atable[bsuid] = info['altname']
async def get_trades(
self,
fetch_limit: int | None = None,
) -> dict[str, Any]:
'''
Get the trades (aka cleared orders) history from the rest endpoint:
https://docs.kraken.com/rest/#operation/getTradeHistory
'''
ofs = 0
trades_by_id: dict[str, Any] = {}
for i in itertools.count():
if (
fetch_limit
and i >= fetch_limit
):
break
# increment 'ofs' pagination offset
ofs = i*50
resp = await self.endpoint(
'TradesHistory',
{'ofs': ofs},
)
by_id = resp['result']['trades']
trades_by_id.update(by_id)
# can get up to 50 results per query, see:
# https://docs.kraken.com/rest/#tag/User-Data/operation/getTradeHistory
if (
len(by_id) < 50
):
err = resp.get('error')
if err:
raise BrokerError(err)
# we know we received the max amount of
# trade results so there may be more history.
# catch the end of the trades
count = resp['result']['count']
break
# santity check on update
assert count == len(trades_by_id.values())
return trades_by_id
async def get_xfers(
self,
asset: str,
src_asset: str = '',
) -> dict[str, Transaction]:
'''
Get asset balance transfer transactions.
Currently only withdrawals are supported.
'''
xfers: list[dict] = (await self.endpoint(
'WithdrawStatus',
{'asset': asset},
))['result']
# eg. resp schema:
# 'result': [{'method': 'Bitcoin', 'aclass': 'currency', 'asset':
# 'XXBT', 'refid': 'AGBJRMB-JHD2M4-NDI3NR', 'txid':
# 'b95d66d3bb6fd76cbccb93f7639f99a505cb20752c62ea0acc093a0e46547c44',
# 'info': 'bc1qc8enqjekwppmw3g80p56z5ns7ze3wraqk5rl9z',
# 'amount': '0.00300726', 'fee': '0.00001000', 'time':
# 1658347714, 'status': 'Success'}]}
trans: dict[str, Transaction] = {}
for entry in xfers:
# look up the normalized name and asset info
asset_key = entry['asset']
asset_info = self.assets[asset_key]
asset = self._atable[asset_key].lower()
# XXX: this is in the asset units (likely) so it isn't
# quite the same as a commisions cost necessarily..)
cost = float(entry['fee'])
fqsn = asset + '.kraken'
pairinfo = Symbol.from_fqsn(
fqsn,
info={
'asset_type': 'crypto',
'lot_tick_size': asset_info['decimals'],
},
)
tran = Transaction(
fqsn=fqsn,
sym=pairinfo,
tid=entry['txid'],
dt=pendulum.from_timestamp(entry['time']),
bsuid=f'{asset}{src_asset}',
size=-1*(
float(entry['amount'])
+
cost
),
# since this will be treated as a "sell" it
# shouldn't be needed to compute the be price.
price='NaN',
# XXX: see note above
cost=cost,
)
trans[tran.tid] = tran
return trans
async def submit_limit(
self,
symbol: str,
price: float,
action: str,
size: float,
reqid: str = None,
validate: bool = False # set True test call without a real submission
) -> dict:
'''
Place an order and return integer request id provided by client.
'''
# Build common data dict for common keys from both endpoints
data = {
"pair": symbol,
"price": str(price),
"validate": validate
}
if reqid is None:
# Build order data for kraken api
data |= {
"ordertype": "limit",
"type": action,
"volume": str(size),
}
return await self.endpoint('AddOrder', data)
else:
# Edit order data for kraken api
data["txid"] = reqid
return await self.endpoint('EditOrder', data)
async def submit_cancel(
self,
reqid: str,
) -> dict:
'''
Send cancel request for order id ``reqid``.
'''
# txid is a transaction id given by kraken
return await self.endpoint('CancelOrder', {"txid": reqid})
async def symbol_info(
self,
pair: Optional[str] = None,
) -> dict[str, Pair] | Pair:
if pair is not None:
pairs = {'pair': pair}
else:
pairs = None # get all pairs
resp = await self._public('AssetPairs', pairs)
err = resp['error']
if err:
symbolname = pairs['pair'] if pair else None
raise SymbolNotFound(f'{symbolname}.kraken')
pairs = resp['result']
if pair is not None:
_, data = next(iter(pairs.items()))
return Pair(**data)
else:
return {key: Pair(**data) for key, data in pairs.items()}
async def cache_symbols(self) -> dict:
'''
Load all market pair info build and cache it for downstream use.
A ``._ntable: dict[str, str]`` is available for mapping the
websocket pair name-keys and their http endpoint API (smh)
equivalents to the "alternative name" which is generally the one
we actually want to use XD
'''
if not self._pairs:
self._pairs.update(await self.symbol_info())
# table of all ws and rest keys to their alt-name values.
ntable: dict[str, str] = {}
for rest_key in list(self._pairs.keys()):
pair: Pair = self._pairs[rest_key]
altname = pair.altname
wsname = pair.wsname
ntable[rest_key] = ntable[wsname] = altname
# register the pair under all monikers, a giant flat
# surjection of all possible names to each info obj.
self._pairs[altname] = self._pairs[wsname] = pair
self._ntable.update(ntable)
return self._pairs
async def search_symbols(
self,
pattern: str,
limit: int = None,
) -> dict[str, Any]:
'''
Search for a symbol by "alt name"..
It is expected that the ``Client._pairs`` table
gets populated before conducting the underlying fuzzy-search
over the pair-key set.
'''
if not len(self._pairs):
await self.cache_symbols()
assert self._pairs, '`Client.cache_symbols()` was never called!?'
matches = fuzzy.extractBests(
pattern,
self._pairs,
score_cutoff=50,
)
# repack in dict form
return {item[0].altname: item[0] for item in matches}
async def bars(
self,
symbol: str = 'XBTUSD',
# UTC 2017-07-02 12:53:20
since: Union[int, datetime] | None = None,
count: int = 720, # <- max allowed per query
as_np: bool = True,
) -> dict:
if since is None:
since = pendulum.now('UTC').start_of('minute').subtract(
minutes=count).timestamp()
elif isinstance(since, int):
since = pendulum.from_timestamp(since).timestamp()
else: # presumably a pendulum datetime
since = since.timestamp()
# UTC 2017-07-02 12:53:20 is oldest seconds value
since = str(max(1499000000, int(since)))
json = await self._public(
'OHLC',
data={
'pair': symbol,
'since': since,
},
)
try:
res = json['result']
res.pop('last')
bars = next(iter(res.values()))
new_bars = []
first = bars[0]
last_nz_vwap = first[-3]
if last_nz_vwap == 0:
# use close if vwap is zero
last_nz_vwap = first[-4]
# convert all fields to native types
for i, bar in enumerate(bars):
# normalize weird zero-ed vwap values..cmon kraken..
# indicates vwap didn't change since last bar
vwap = float(bar.pop(-3))
if vwap != 0:
last_nz_vwap = vwap
if vwap == 0:
vwap = last_nz_vwap
# re-insert vwap as the last of the fields
bar.append(vwap)
new_bars.append(
(i,) + tuple(
ftype(bar[j]) for j, (name, ftype) in enumerate(
_ohlc_dtype[1:]
)
)
)
array = np.array(new_bars, dtype=_ohlc_dtype) if as_np else bars
return array
except KeyError:
errmsg = json['error'][0]
if 'not found' in errmsg:
raise SymbolNotFound(errmsg + f': {symbol}')
elif 'Too many requests' in errmsg:
raise DataThrottle(f'{symbol}')
else:
raise BrokerError(errmsg)
@classmethod
def normalize_symbol(
cls,
ticker: str
) -> tuple[str, Pair]:
'''
Normalize symbol names to to a 3x3 pair from the global
definition map which we build out from the data retreived from
the 'AssetPairs' endpoint, see methods above.
'''
ticker = cls._ntable[ticker]
return ticker.lower(), cls._pairs[ticker]
@acm
async def get_client() -> Client:
conf = get_config()
if conf:
client = Client(
conf,
name=conf['key_descr'],
api_key=conf['api_key'],
secret=conf['secret']
)
else:
client = Client({})
# at startup, load all symbols, and asset info in
# batch requests.
async with trio.open_nursery() as nurse:
nurse.start_soon(client.cache_assets)
await client.cache_symbols()
yield client

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# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Real-time and historical data feed endpoints.
'''
from contextlib import asynccontextmanager as acm
from datetime import datetime
from typing import (
Any,
Optional,
Callable,
)
import time
from async_generator import aclosing
from fuzzywuzzy import process as fuzzy
import numpy as np
import pendulum
from trio_typing import TaskStatus
import tractor
import trio
from piker._cacheables import open_cached_client
from piker.brokers._util import (
BrokerError,
DataThrottle,
DataUnavailable,
)
from piker.log import get_console_log
from piker.data.types import Struct
from piker.data._web_bs import open_autorecon_ws, NoBsWs
from . import log
from .api import (
Client,
Pair,
)
class OHLC(Struct):
'''
Description of the flattened OHLC quote format.
For schema details see:
https://docs.kraken.com/websockets/#message-ohlc
'''
chan_id: int # internal kraken id
chan_name: str # eg. ohlc-1 (name-interval)
pair: str # fx pair
time: float # Begin time of interval, in seconds since epoch
etime: float # End time of interval, in seconds since epoch
open: float # Open price of interval
high: float # High price within interval
low: float # Low price within interval
close: float # Close price of interval
vwap: float # Volume weighted average price within interval
volume: float # Accumulated volume **within interval**
count: int # Number of trades within interval
# (sampled) generated tick data
ticks: list[Any] = []
async def stream_messages(
ws: NoBsWs,
):
'''
Message stream parser and heartbeat handler.
Deliver ws subscription messages as well as handle heartbeat logic
though a single async generator.
'''
too_slow_count = last_hb = 0
while True:
with trio.move_on_after(5) as cs:
msg = await ws.recv_msg()
# trigger reconnection if heartbeat is laggy
if cs.cancelled_caught:
too_slow_count += 1
if too_slow_count > 20:
log.warning(
"Heartbeat is too slow, resetting ws connection")
await ws._connect()
too_slow_count = 0
continue
match msg:
case {'event': 'heartbeat'}:
now = time.time()
delay = now - last_hb
last_hb = now
# XXX: why tf is this not printing without --tl flag?
log.debug(f"Heartbeat after {delay}")
# print(f"Heartbeat after {delay}")
continue
case _:
# passthrough sub msgs
yield msg
async def process_data_feed_msgs(
ws: NoBsWs,
):
'''
Parse and pack data feed messages.
'''
async for msg in stream_messages(ws):
match msg:
case {
'errorMessage': errmsg
}:
raise BrokerError(errmsg)
case {
'event': 'subscriptionStatus',
} as sub:
log.info(
'WS subscription is active:\n'
f'{sub}'
)
continue
case [
chan_id,
*payload_array,
chan_name,
pair
]:
if 'ohlc' in chan_name:
ohlc = OHLC(
chan_id,
chan_name,
pair,
*payload_array[0]
)
ohlc.typecast()
yield 'ohlc', ohlc
elif 'spread' in chan_name:
bid, ask, ts, bsize, asize = map(
float, payload_array[0])
# TODO: really makes you think IB has a horrible API...
quote = {
'symbol': pair.replace('/', ''),
'ticks': [
{'type': 'bid', 'price': bid, 'size': bsize},
{'type': 'bsize', 'price': bid, 'size': bsize},
{'type': 'ask', 'price': ask, 'size': asize},
{'type': 'asize', 'price': ask, 'size': asize},
],
}
yield 'l1', quote
# elif 'book' in msg[-2]:
# chan_id, *payload_array, chan_name, pair = msg
# print(msg)
case _:
print(f'UNHANDLED MSG: {msg}')
# yield msg
def normalize(
ohlc: OHLC,
) -> dict:
quote = ohlc.to_dict()
quote['broker_ts'] = quote['time']
quote['brokerd_ts'] = time.time()
quote['symbol'] = quote['pair'] = quote['pair'].replace('/', '')
quote['last'] = quote['close']
quote['bar_wap'] = ohlc.vwap
# seriously eh? what's with this non-symmetry everywhere
# in subscription systems...
# XXX: piker style is always lowercases symbols.
topic = quote['pair'].replace('/', '').lower()
# print(quote)
return topic, quote
@acm
async def open_history_client(
symbol: str,
) -> tuple[Callable, int]:
# TODO implement history getter for the new storage layer.
async with open_cached_client('kraken') as client:
# lol, kraken won't send any more then the "last"
# 720 1m bars.. so we have to just ignore further
# requests of this type..
queries: int = 0
async def get_ohlc(
timeframe: float,
end_dt: Optional[datetime] = None,
start_dt: Optional[datetime] = None,
) -> tuple[
np.ndarray,
datetime, # start
datetime, # end
]:
nonlocal queries
if (
queries > 0
or timeframe != 60
):
raise DataUnavailable(
'Only a single query for 1m bars supported')
count = 0
while count <= 3:
try:
array = await client.bars(
symbol,
since=end_dt,
)
count += 1
queries += 1
break
except DataThrottle:
log.warning(f'kraken OHLC throttle for {symbol}')
await trio.sleep(1)
start_dt = pendulum.from_timestamp(array[0]['time'])
end_dt = pendulum.from_timestamp(array[-1]['time'])
return array, start_dt, end_dt
yield get_ohlc, {'erlangs': 1, 'rate': 1}
async def stream_quotes(
send_chan: trio.abc.SendChannel,
symbols: list[str],
feed_is_live: trio.Event,
loglevel: str = None,
# backend specific
sub_type: str = 'ohlc',
# startup sync
task_status: TaskStatus[tuple[dict, dict]] = trio.TASK_STATUS_IGNORED,
) -> None:
'''
Subscribe for ohlc stream of quotes for ``pairs``.
``pairs`` must be formatted <crypto_symbol>/<fiat_symbol>.
'''
# XXX: required to propagate ``tractor`` loglevel to piker logging
get_console_log(loglevel or tractor.current_actor().loglevel)
ws_pairs = {}
sym_infos = {}
async with open_cached_client('kraken') as client, send_chan as send_chan:
# keep client cached for real-time section
for sym in symbols:
# transform to upper since piker style is always lower
sym = sym.upper()
si: Pair = await client.symbol_info(sym)
# try:
# si = Pair(**sym_info) # validation
# except TypeError:
# fields_diff = set(sym_info) - set(Pair.__struct_fields__)
# raise TypeError(
# f'Missing msg fields {fields_diff}'
# )
syminfo = si.to_dict()
syminfo['price_tick_size'] = 1. / 10**si.pair_decimals
syminfo['lot_tick_size'] = 1. / 10**si.lot_decimals
syminfo['asset_type'] = 'crypto'
sym_infos[sym] = syminfo
ws_pairs[sym] = si.wsname
symbol = symbols[0].lower()
init_msgs = {
# pass back token, and bool, signalling if we're the writer
# and that history has been written
symbol: {
'symbol_info': sym_infos[sym],
'shm_write_opts': {'sum_tick_vml': False},
'fqsn': sym,
},
}
@acm
async def subscribe(ws: NoBsWs):
# XXX: setup subs
# https://docs.kraken.com/websockets/#message-subscribe
# specific logic for this in kraken's sync client:
# https://github.com/krakenfx/kraken-wsclient-py/blob/master/kraken_wsclient_py/kraken_wsclient_py.py#L188
ohlc_sub = {
'event': 'subscribe',
'pair': list(ws_pairs.values()),
'subscription': {
'name': 'ohlc',
'interval': 1,
},
}
# TODO: we want to eventually allow unsubs which should
# be completely fine to request from a separate task
# since internally the ws methods appear to be FIFO
# locked.
await ws.send_msg(ohlc_sub)
# trade data (aka L1)
l1_sub = {
'event': 'subscribe',
'pair': list(ws_pairs.values()),
'subscription': {
'name': 'spread',
# 'depth': 10}
},
}
# pull a first quote and deliver
await ws.send_msg(l1_sub)
yield
# unsub from all pairs on teardown
if ws.connected():
await ws.send_msg({
'pair': list(ws_pairs.values()),
'event': 'unsubscribe',
'subscription': ['ohlc', 'spread'],
})
# XXX: do we need to ack the unsub?
# await ws.recv_msg()
# see the tips on reconnection logic:
# https://support.kraken.com/hc/en-us/articles/360044504011-WebSocket-API-unexpected-disconnections-from-market-data-feeds
ws: NoBsWs
async with (
open_autorecon_ws(
'wss://ws.kraken.com/',
fixture=subscribe,
) as ws,
aclosing(process_data_feed_msgs(ws)) as msg_gen,
):
# pull a first quote and deliver
typ, ohlc_last = await anext(msg_gen)
topic, quote = normalize(ohlc_last)
task_status.started((init_msgs, quote))
# lol, only "closes" when they're margin squeezing clients ;P
feed_is_live.set()
# keep start of last interval for volume tracking
last_interval_start = ohlc_last.etime
# start streaming
async for typ, ohlc in msg_gen:
if typ == 'ohlc':
# TODO: can get rid of all this by using
# ``trades`` subscription...
# generate tick values to match time & sales pane:
# https://trade.kraken.com/charts/KRAKEN:BTC-USD?period=1m
volume = ohlc.volume
# new OHLC sample interval
if ohlc.etime > last_interval_start:
last_interval_start = ohlc.etime
tick_volume = volume
else:
# this is the tick volume *within the interval*
tick_volume = volume - ohlc_last.volume
ohlc_last = ohlc
last = ohlc.close
if tick_volume:
ohlc.ticks.append({
'type': 'trade',
'price': last,
'size': tick_volume,
})
topic, quote = normalize(ohlc)
elif typ == 'l1':
quote = ohlc
topic = quote['symbol'].lower()
await send_chan.send({topic: quote})
@tractor.context
async def open_symbol_search(
ctx: tractor.Context,
) -> Client:
async with open_cached_client('kraken') as client:
# load all symbols locally for fast search
cache = await client.cache_symbols()
await ctx.started(cache)
async with ctx.open_stream() as stream:
async for pattern in stream:
matches = fuzzy.extractBests(
pattern,
cache,
score_cutoff=50,
)
# repack in dict form
await stream.send({
pair[0].altname: pair[0]
for pair in matches
})

View File

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

View File

@ -22,10 +22,54 @@ from enum import Enum
from typing import Optional
from bidict import bidict
from pydantic import BaseModel, validator
from ..data._source import Symbol
from ..data.types import Struct
from ..pp import Position
from ._messages import BrokerdPosition, Status
class Position(BaseModel):
'''
Basic pp (personal position) model with attached fills history.
This type should be IPC wire ready?
'''
symbol: Symbol
# last size and avg entry price
size: float
avg_price: float # TODO: contextual pricing
# ordered record of known constituent trade messages
fills: list[Status] = []
def update_from_msg(
self,
msg: BrokerdPosition,
) -> None:
# XXX: better place to do this?
symbol = self.symbol
lot_size_digits = symbol.lot_size_digits
avg_price, size = (
round(msg['avg_price'], ndigits=symbol.tick_size_digits),
round(msg['size'], ndigits=lot_size_digits),
)
self.avg_price = avg_price
self.size = size
@property
def dsize(self) -> float:
'''
The "dollar" size of the pp, normally in trading (fiat) unit
terms.
'''
return self.avg_price * self.size
_size_units = bidict({
@ -40,9 +84,34 @@ SizeUnit = Enum(
)
class Allocator(Struct):
class Allocator(BaseModel):
class Config:
validate_assignment = True
copy_on_model_validation = False
arbitrary_types_allowed = True
# required to get the account validator lookup working?
extra = 'allow'
underscore_attrs_are_private = False
symbol: Symbol
account: Optional[str] = 'paper'
# TODO: for enums this clearly doesn't fucking work, you can't set
# a default at startup by passing in a `dict` but yet you can set
# that value through assignment..for wtv cucked reason.. honestly, pure
# unintuitive garbage.
size_unit: str = 'currency'
_size_units: dict[str, Optional[str]] = _size_units
@validator('size_unit', pre=True)
def maybe_lookup_key(cls, v):
# apply the corresponding enum key for the text "description" value
if v not in _size_units:
return _size_units.inverse[v]
assert v in _size_units
return v
# TODO: if we ever want ot support non-uniform entry-slot-proportion
# "sizes"
@ -51,28 +120,6 @@ class Allocator(Struct):
units_limit: float
currency_limit: float
slots: int
account: Optional[str] = 'paper'
_size_units: bidict[str, Optional[str]] = _size_units
# TODO: for enums this clearly doesn't fucking work, you can't set
# a default at startup by passing in a `dict` but yet you can set
# that value through assignment..for wtv cucked reason.. honestly, pure
# unintuitive garbage.
_size_unit: str = 'currency'
@property
def size_unit(self) -> str:
return self._size_unit
@size_unit.setter
def size_unit(self, v: str) -> Optional[str]:
if v not in _size_units:
v = _size_units.inverse[v]
assert v in _size_units
self._size_unit = v
return v
def step_sizes(
self,
@ -93,13 +140,10 @@ class Allocator(Struct):
else:
return self.units_limit
def limit_info(self) -> tuple[str, float]:
return self.size_unit, self.limit()
def next_order_info(
self,
# we only need a startup size for exit calcs, we can then
# we only need a startup size for exit calcs, we can the
# determine how large slots should be if the initial pp size was
# larger then the current live one, and the live one is smaller
# then the initial config settings.
@ -129,7 +173,7 @@ class Allocator(Struct):
l_sub_pp = self.units_limit - abs_live_size
elif size_unit == 'currency':
live_cost_basis = abs_live_size * live_pp.ppu
live_cost_basis = abs_live_size * live_pp.avg_price
slot_size = currency_per_slot / price
l_sub_pp = (self.currency_limit - live_cost_basis) / price
@ -140,14 +184,12 @@ class Allocator(Struct):
# an entry (adding-to or starting a pp)
if (
action == 'buy' and live_size > 0 or
action == 'sell' and live_size < 0 or
live_size == 0
or (action == 'buy' and live_size > 0)
or action == 'sell' and live_size < 0
):
order_size = min(
slot_size,
max(l_sub_pp, 0),
)
order_size = min(slot_size, l_sub_pp)
# an exit (removing-from or going to net-zero pp)
else:
@ -163,7 +205,7 @@ class Allocator(Struct):
if size_unit == 'currency':
# compute the "projected" limit's worth of units at the
# current pp (weighted) price:
slot_size = currency_per_slot / live_pp.ppu
slot_size = currency_per_slot / live_pp.avg_price
else:
slot_size = u_per_slot
@ -202,12 +244,7 @@ class Allocator(Struct):
if order_size < slot_size:
# compute a fractional slots size to display
slots_used = self.slots_used(
Position(
symbol=sym,
size=order_size,
ppu=price,
bsuid=sym,
)
Position(symbol=sym, size=order_size, avg_price=price)
)
return {
@ -234,8 +271,8 @@ class Allocator(Struct):
abs_pp_size = abs(pp.size)
if self.size_unit == 'currency':
# live_currency_size = size or (abs_pp_size * pp.ppu)
live_currency_size = abs_pp_size * pp.ppu
# live_currency_size = size or (abs_pp_size * pp.avg_price)
live_currency_size = abs_pp_size * pp.avg_price
prop = live_currency_size / self.currency_limit
else:
@ -247,6 +284,14 @@ class Allocator(Struct):
return round(prop * self.slots)
_derivs = (
'future',
'continuous_future',
'option',
'futures_option',
)
def mk_allocator(
symbol: Symbol,
@ -255,7 +300,7 @@ def mk_allocator(
# default allocation settings
defaults: dict[str, float] = {
'account': None, # select paper by default
# 'size_unit': 'currency',
'size_unit': 'currency',
'units_limit': 400,
'currency_limit': 5e3,
'slots': 4,
@ -273,9 +318,42 @@ def mk_allocator(
'currency_limit': 6e3,
'slots': 6,
}
defaults.update(user_def)
return Allocator(
alloc = Allocator(
symbol=symbol,
**defaults,
)
asset_type = symbol.type_key
# specific configs by asset class / type
if asset_type in _derivs:
# since it's harder to know how currency "applies" in this case
# given leverage properties
alloc.size_unit = '# units'
# set units limit to slots size thus making make the next
# entry step 1.0
alloc.units_limit = alloc.slots
# if the current position is already greater then the limit
# settings, increase the limit to the current position
if alloc.size_unit == 'currency':
startup_size = startup_pp.size * startup_pp.avg_price
if startup_size > alloc.currency_limit:
alloc.currency_limit = round(startup_size, ndigits=2)
else:
startup_size = abs(startup_pp.size)
if startup_size > alloc.units_limit:
alloc.units_limit = startup_size
if asset_type in _derivs:
alloc.slots = alloc.units_limit
return alloc

View File

@ -18,35 +18,26 @@
Orders and execution client API.
"""
from __future__ import annotations
from contextlib import asynccontextmanager as acm
from typing import Dict
from pprint import pformat
from typing import TYPE_CHECKING
from dataclasses import dataclass, field
import trio
import tractor
from tractor.trionics import broadcast_receiver
from ..log import get_logger
from ..data.types import Struct
from ..service import maybe_open_emsd
from ._messages import (
Order,
Cancel,
)
from ..brokers import get_brokermod
if TYPE_CHECKING:
from ._messages import (
BrokerdPosition,
Status,
)
from ._ems import _emsd_main
from .._daemon import maybe_open_emsd
from ._messages import Order, Cancel
log = get_logger(__name__)
class OrderBook(Struct):
@dataclass
class OrderBook:
'''EMS-client-side order book ctl and tracking.
A style similar to "model-view" is used here where this api is
@ -61,18 +52,20 @@ class OrderBook(Struct):
# mem channels used to relay order requests to the EMS daemon
_to_ems: trio.abc.SendChannel
_from_order_book: trio.abc.ReceiveChannel
_sent_orders: dict[str, Order] = {}
_sent_orders: Dict[str, Order] = field(default_factory=dict)
_ready_to_receive: trio.Event = trio.Event()
def send(
self,
msg: Order | dict,
msg: Order,
) -> dict:
self._sent_orders[msg.oid] = msg
self._to_ems.send_nowait(msg)
self._to_ems.send_nowait(msg.dict())
return msg
def send_update(
def update(
self,
uuid: str,
@ -80,8 +73,9 @@ class OrderBook(Struct):
) -> dict:
cmd = self._sent_orders[uuid]
msg = cmd.copy(update=data)
self._sent_orders[uuid] = msg
msg = cmd.dict()
msg.update(data)
self._sent_orders[uuid] = Order(**msg)
self._to_ems.send_nowait(msg)
return cmd
@ -89,18 +83,12 @@ class OrderBook(Struct):
"""Cancel an order (or alert) in the EMS.
"""
cmd = self._sent_orders.get(uuid)
if not cmd:
log.error(
f'Unknown order {uuid}!?\n'
f'Maybe there is a stale entry or line?\n'
f'You should report this as a bug!'
)
cmd = self._sent_orders[uuid]
msg = Cancel(
oid=uuid,
symbol=cmd.symbol,
)
self._to_ems.send_nowait(msg)
self._to_ems.send_nowait(msg.dict())
_orders: OrderBook = None
@ -161,36 +149,21 @@ async def relay_order_cmds_from_sync_code(
book = get_orders()
async with book._from_order_book.subscribe() as orders_stream:
async for cmd in orders_stream:
sym = cmd.symbol
msg = pformat(cmd)
if sym == symbol_key:
log.info(f'Send order cmd:\n{msg}')
if cmd['symbol'] == symbol_key:
log.info(f'Send order cmd:\n{pformat(cmd)}')
# send msg over IPC / wire
await to_ems_stream.send(cmd)
else:
log.warning(
f'Ignoring unmatched order cmd for {sym} != {symbol_key}:'
f'\n{msg}'
)
@acm
async def open_ems(
fqsn: str,
mode: str = 'live',
loglevel: str = 'error',
) -> tuple[
) -> (
OrderBook,
tractor.MsgStream,
dict[
# brokername, acctid
tuple[str, str],
list[BrokerdPosition],
],
list[str],
dict[str, Status],
]:
dict,
):
'''
Spawn an EMS daemon and begin sending orders and receiving
alerts.
@ -233,36 +206,18 @@ async def open_ems(
async with maybe_open_emsd(broker) as portal:
mod = get_brokermod(broker)
if (
not getattr(mod, 'trades_dialogue', None)
or mode == 'paper'
):
mode = 'paper'
from ._ems import _emsd_main
async with (
# connect to emsd
portal.open_context(
_emsd_main,
fqsn=fqsn,
exec_mode=mode,
loglevel=loglevel,
) as (
ctx,
(
positions,
accounts,
dialogs,
)
),
) as (ctx, (positions, accounts)),
# open 2-way trade command stream
ctx.open_stream() as trades_stream,
):
# start sync code order msg delivery task
async with trio.open_nursery() as n:
n.start_soon(
relay_order_cmds_from_sync_code,
@ -270,10 +225,4 @@ async def open_ems(
trades_stream
)
yield (
book,
trades_stream,
positions,
accounts,
dialogs,
)
yield book, trades_stream, positions, accounts

File diff suppressed because it is too large Load Diff

View File

@ -1,5 +1,5 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# Copyright (C) Tyler Goodlet (in stewardship for piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
@ -15,162 +15,108 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Clearing sub-system message and protocols.
Clearing system messagingn types and protocols.
"""
# from collections import (
# ChainMap,
# deque,
# )
from typing import (
Optional,
Literal,
)
from typing import Optional, Union
from msgspec import field
# TODO: try out just encoding/send direction for now?
# import msgspec
from pydantic import BaseModel
from ..data._source import Symbol
from ..data.types import Struct
# TODO: a composite for tracking msg flow on 2-legged
# dialogs.
# class Dialog(ChainMap):
# '''
# Msg collection abstraction to easily track the state changes of
# a msg flow in one high level, query-able and immutable construct.
# The main use case is to query data from a (long-running)
# msg-transaction-sequence
# '''
# def update(
# self,
# msg,
# ) -> None:
# self.maps.insert(0, msg.to_dict())
# def flatten(self) -> dict:
# return dict(self)
# TODO: ``msgspec`` stuff worth paying attention to:
# - schema evolution:
# https://jcristharif.com/msgspec/usage.html#schema-evolution
# - for eg. ``BrokerdStatus``, instead just have separate messages?
# - use literals for a common msg determined by diff keys?
# - https://jcristharif.com/msgspec/usage.html#literal
# --------------
# Client -> emsd
# --------------
class Order(Struct):
# TODO: ideally we can combine these 2 fields into
# 1 and just use the size polarity to determine a buy/sell.
# i would like to see this become more like
# https://jcristharif.com/msgspec/usage.html#literal
# action: Literal[
# 'live',
# 'dark',
# 'alert',
# ]
action: Literal[
'buy',
'sell',
'alert',
]
# determines whether the create execution
# will be submitted to the ems or directly to
# the backend broker
exec_mode: Literal[
'dark',
'live',
# 'paper', no right?
]
# internal ``emdsd`` unique "order id"
oid: str # uuid4
symbol: str | Symbol
account: str # should we set a default as '' ?
price: float
size: float # -ve is "sell", +ve is "buy"
brokers: list[str] = []
class Cancel(Struct):
'''
Cancel msg for removing a dark (ems triggered) or
class Cancel(BaseModel):
'''Cancel msg for removing a dark (ems triggered) or
broker-submitted (live) trigger/order.
'''
action: str = 'cancel'
oid: str # uuid4
symbol: str
action: str = 'cancel'
# --------------
class Order(BaseModel):
action: str # {'buy', 'sell', 'alert'}
# internal ``emdsd`` unique "order id"
oid: str # uuid4
symbol: Union[str, Symbol]
account: str # should we set a default as '' ?
price: float
size: float
brokers: list[str]
# Assigned once initial ack is received
# ack_time_ns: Optional[int] = None
# determines whether the create execution
# will be submitted to the ems or directly to
# the backend broker
exec_mode: str # {'dark', 'live', 'paper'}
class Config:
# just for pre-loading a ``Symbol`` when used
# in the order mode staging process
arbitrary_types_allowed = True
# don't copy this model instance when used in
# a recursive model
copy_on_model_validation = False
# Client <- emsd
# --------------
# update msgs from ems which relay state change info
# from the active clearing engine.
class Status(Struct):
time_ns: int
oid: str # uuid4 ems-order dialog id
resp: Literal[
'pending', # acked by broker but not yet open
'open',
'dark_open', # dark/algo triggered order is open in ems clearing loop
'triggered', # above triggered order sent to brokerd, or an alert closed
'closed', # fully cleared all size/units
'fill', # partial execution
'canceled',
'error',
]
class Status(BaseModel):
name: str = 'status'
oid: str # uuid4
time_ns: int
# {
# 'dark_submitted',
# 'dark_cancelled',
# 'dark_triggered',
# 'broker_submitted',
# 'broker_cancelled',
# 'broker_executed',
# 'broker_filled',
# 'broker_errored',
# 'alert_submitted',
# 'alert_triggered',
# }
resp: str # "response", see above
# symbol: str
# trigger info
trigger_price: Optional[float] = None
# price: float
# broker: Optional[str] = None
# this maps normally to the ``BrokerdOrder.reqid`` below, an id
# normally allocated internally by the backend broker routing system
reqid: Optional[int | str] = None
broker_reqid: Optional[Union[int, str]] = None
# the (last) source order/request msg if provided
# (eg. the Order/Cancel which causes this msg) and
# acts as a back-reference to the corresponding
# request message which was the source of this msg.
req: Order | None = None
# XXX: better design/name here?
# flag that can be set to indicate a message for an order
# event that wasn't originated by piker's emsd (eg. some external
# trading system which does it's own order control but that you
# might want to "track" using piker UIs/systems).
src: Optional[str] = None
# set when a cancel request msg was set for this order flow dialog
# but the brokerd dialog isn't yet in a cancelled state.
cancel_called: bool = False
# for relaying a boxed brokerd-dialog-side msg data "through" the
# ems layer to clients.
# for relaying backend msg data "through" the ems layer
brokerd_msg: dict = {}
# ---------------
# emsd -> brokerd
# ---------------
# requests *sent* from ems to respective backend broker daemon
class BrokerdCancel(Struct):
class BrokerdCancel(BaseModel):
action: str = 'cancel'
oid: str # piker emsd order id
time_ns: int
@ -181,39 +127,34 @@ class BrokerdCancel(Struct):
# for setting a unique order id then this value will be relayed back
# on the emsd order request stream as the ``BrokerdOrderAck.reqid``
# field
reqid: Optional[int | str] = None
action: str = 'cancel'
reqid: Optional[Union[int, str]] = None
class BrokerdOrder(Struct):
class BrokerdOrder(BaseModel):
action: str # {buy, sell}
oid: str
account: str
time_ns: int
symbol: str # fqsn
price: float
size: float
# TODO: if we instead rely on a +ve/-ve size to determine
# the action we more or less don't need this field right?
action: str = '' # {buy, sell}
# "broker request id": broker specific/internal order id if this is
# None, creates a new order otherwise if the id is valid the backend
# api must modify the existing matching order. If the broker allows
# for setting a unique order id then this value will be relayed back
# on the emsd order request stream as the ``BrokerdOrderAck.reqid``
# field
reqid: Optional[int | str] = None
reqid: Optional[Union[int, str]] = None
symbol: str # symbol.<providername> ?
price: float
size: float
# ---------------
# emsd <- brokerd
# ---------------
# requests *received* to ems from broker backend
class BrokerdOrderAck(Struct):
class BrokerdOrderAck(BaseModel):
'''
Immediate reponse to a brokerd order request providing the broker
specific unique order id so that the EMS can associate this
@ -221,93 +162,102 @@ class BrokerdOrderAck(Struct):
``.oid`` (which is a uuid4).
'''
name: str = 'ack'
# defined and provided by backend
reqid: int | str
reqid: Union[int, str]
# emsd id originally sent in matching request msg
oid: str
account: str = ''
name: str = 'ack'
class BrokerdStatus(Struct):
class BrokerdStatus(BaseModel):
reqid: int | str
time_ns: int
status: Literal[
'open',
'canceled',
'fill',
'pending',
'error',
]
account: str
name: str = 'status'
reqid: Union[int, str]
time_ns: int
# XXX: should be best effort set for every update
account: str = ''
# {
# 'submitted',
# 'cancelled',
# 'filled',
# }
status: str
filled: float = 0.0
reason: str = ''
remaining: float = 0.0
# external: bool = False
# XXX: better design/name here?
# flag that can be set to indicate a message for an order
# event that wasn't originated by piker's emsd (eg. some external
# trading system which does it's own order control but that you
# might want to "track" using piker UIs/systems).
external: bool = False
# XXX: not required schema as of yet
broker_details: dict = field(default_factory=lambda: {
broker_details: dict = {
'name': '',
})
}
class BrokerdFill(Struct):
class BrokerdFill(BaseModel):
'''
A single message indicating a "fill-details" event from the broker
if avaiable.
'''
name: str = 'fill'
reqid: Union[int, str]
time_ns: int
# order exeuction related
action: str
size: float
price: float
broker_details: dict = {} # meta-data (eg. commisions etc.)
# brokerd timestamp required for order mode arrow placement on x-axis
# TODO: maybe int if we force ns?
# we need to normalize this somehow since backends will use their
# own format and likely across many disparate epoch clocks...
broker_time: float
reqid: int | str
time_ns: int
# order exeuction related
size: float
price: float
name: str = 'fill'
action: Optional[str] = None
broker_details: dict = {} # meta-data (eg. commisions etc.)
class BrokerdError(Struct):
class BrokerdError(BaseModel):
'''
Optional error type that can be relayed to emsd for error handling.
This is still a TODO thing since we're not sure how to employ it yet.
'''
name: str = 'error'
oid: str
symbol: str
reason: str
# if no brokerd order request was actually submitted (eg. we errored
# at the ``pikerd`` layer) then there will be ``reqid`` allocated.
reqid: Optional[int | str] = None
reqid: Optional[Union[int, str]] = None
name: str = 'error'
symbol: str
reason: str
broker_details: dict = {}
class BrokerdPosition(Struct):
class BrokerdPosition(BaseModel):
'''Position update event from brokerd.
'''
name: str = 'position'
broker: str
account: str
symbol: str
currency: str
size: float
avg_price: float
currency: str = ''
name: str = 'position'

View File

@ -18,75 +18,54 @@
Fake trading for forward testing.
"""
from collections import defaultdict
from contextlib import asynccontextmanager
from datetime import datetime
from operator import itemgetter
import itertools
import time
from typing import (
Any,
Optional,
Callable,
)
from typing import Tuple, Optional, Callable
import uuid
from bidict import bidict
import pendulum
import trio
import tractor
from dataclasses import dataclass
from .. import data
from ..data.types import Struct
from ..data._source import Symbol
from ..pp import (
Position,
Transaction,
open_trade_ledger,
open_pps,
)
from ..data._normalize import iterticks
from ..data._source import unpack_fqsn
from ..log import get_logger
from ._messages import (
BrokerdCancel,
BrokerdOrder,
BrokerdOrderAck,
BrokerdStatus,
BrokerdFill,
BrokerdPosition,
BrokerdError,
BrokerdCancel, BrokerdOrder, BrokerdOrderAck, BrokerdStatus,
BrokerdFill, BrokerdPosition, BrokerdError
)
from ..config import load
log = get_logger(__name__)
class PaperBoi(Struct):
'''
Emulates a broker order client providing approximately the same API
and delivering an order-event response stream but with methods for
@dataclass
class PaperBoi:
"""
Emulates a broker order client providing the same API and
delivering an order-event response stream but with methods for
triggering desired events based on forward testing engine
requirements (eg open, closed, fill msgs).
requirements.
'''
"""
broker: str
ems_trades_stream: tractor.MsgStream
# map of paper "live" orders which be used
# to simulate fills based on paper engine settings
_buys: defaultdict[str, bidict]
_sells: defaultdict[str, bidict]
_buys: bidict
_sells: bidict
_reqids: bidict
_positions: dict[str, Position]
_trade_ledger: dict[str, Any]
_syms: dict[str, Symbol] = {}
_positions: dict[str, BrokerdPosition]
# init edge case L1 spread
last_ask: tuple[float, float] = (float('inf'), 0) # price, size
last_bid: tuple[float, float] = (0, 0)
last_ask: Tuple[float, float] = (float('inf'), 0) # price, size
last_bid: Tuple[float, float] = (0, 0)
async def submit_limit(
self,
@ -96,24 +75,27 @@ class PaperBoi(Struct):
action: str,
size: float,
reqid: Optional[str],
) -> int:
'''
Place an order and return integer request id provided by client.
"""Place an order and return integer request id provided by client.
"""
is_modify: bool = False
if reqid is None:
reqid = str(uuid.uuid4())
else:
# order is already existing, this is a modify
(oid, symbol, action, old_price) = self._reqids[reqid]
assert old_price != price
is_modify = True
# register order internally
self._reqids[reqid] = (oid, symbol, action, price)
'''
if action == 'alert':
# bypass all fill simulation
return reqid
entry = self._reqids.get(reqid)
if entry:
# order is already existing, this is a modify
(oid, symbol, action, old_price) = entry
else:
# register order internally
self._reqids[reqid] = (oid, symbol, action, price)
# TODO: net latency model
# we checkpoint here quickly particulalry
# for dark orders since we want the dark_executed
@ -125,18 +107,15 @@ class PaperBoi(Struct):
size = -size
msg = BrokerdStatus(
status='open',
# account=f'paper_{self.broker}',
account='paper',
status='submitted',
reqid=reqid,
broker=self.broker,
time_ns=time.time_ns(),
filled=0.0,
reason='paper_trigger',
remaining=size,
broker_details={'name': 'paperboi'},
)
await self.ems_trades_stream.send(msg)
await self.ems_trades_stream.send(msg.dict())
# if we're already a clearing price simulate an immediate fill
if (
@ -144,28 +123,28 @@ class PaperBoi(Struct):
) or (
action == 'sell' and (clear_price := self.last_bid[0]) >= price
):
await self.fake_fill(
symbol,
clear_price,
size,
action,
reqid,
oid,
)
await self.fake_fill(symbol, clear_price, size, action, reqid, oid)
# register this submissions as a paper live order
else:
# set the simulated order in the respective table for lookup
# and trigger by the simulated clearing task normally
# running ``simulate_fills()``.
# register this submissions as a paper live order
# submit order to book simulation fill loop
if action == 'buy':
orders = self._buys
elif action == 'sell':
orders = self._sells
# {symbol -> bidict[oid, (<price data>)]}
orders[symbol][oid] = (price, size, reqid, action)
# set the simulated order in the respective table for lookup
# and trigger by the simulated clearing task normally
# running ``simulate_fills()``.
if is_modify:
# remove any existing order for the old price
orders[symbol].pop((oid, old_price))
# buys/sells: (symbol -> (price -> order))
orders.setdefault(symbol, {})[(oid, price)] = (size, reqid, action)
return reqid
@ -178,26 +157,26 @@ class PaperBoi(Struct):
oid, symbol, action, price = self._reqids[reqid]
if action == 'buy':
self._buys[symbol].pop(oid, None)
self._buys[symbol].pop((oid, price))
elif action == 'sell':
self._sells[symbol].pop(oid, None)
self._sells[symbol].pop((oid, price))
# TODO: net latency model
await trio.sleep(0.05)
msg = BrokerdStatus(
status='canceled',
account='paper',
status='cancelled',
oid=oid,
reqid=reqid,
broker=self.broker,
time_ns=time.time_ns(),
broker_details={'name': 'paperboi'},
)
await self.ems_trades_stream.send(msg)
await self.ems_trades_stream.send(msg.dict())
async def fake_fill(
self,
fqsn: str,
symbol: str,
price: float,
size: float,
action: str, # one of {'buy', 'sell'}
@ -211,21 +190,21 @@ class PaperBoi(Struct):
remaining: float = 0,
) -> None:
'''
Pretend to fill a broker order @ price and size.
"""Pretend to fill a broker order @ price and size.
'''
"""
# TODO: net latency model
await trio.sleep(0.05)
fill_time_ns = time.time_ns()
fill_time_s = time.time()
fill_msg = BrokerdFill(
msg = BrokerdFill(
reqid=reqid,
time_ns=fill_time_ns,
time_ns=time.time_ns(),
action=action,
size=size,
price=price,
broker_time=datetime.now().timestamp(),
broker_details={
'paper_info': {
@ -235,64 +214,79 @@ class PaperBoi(Struct):
'name': self.broker + '_paper',
},
)
log.info(f'Fake filling order:\n{fill_msg}')
await self.ems_trades_stream.send(fill_msg)
await self.ems_trades_stream.send(msg.dict())
if order_complete:
msg = BrokerdStatus(
reqid=reqid,
time_ns=time.time_ns(),
# account=f'paper_{self.broker}',
account='paper',
status='closed',
status='filled',
filled=size,
remaining=0 if order_complete else remaining,
)
await self.ems_trades_stream.send(msg)
# lookup any existing position
key = fqsn.rstrip(f'.{self.broker}')
t = Transaction(
fqsn=fqsn,
sym=self._syms[fqsn],
tid=oid,
action=action,
size=size,
price=price,
cost=0, # TODO: cost model
dt=pendulum.from_timestamp(fill_time_s),
bsuid=key,
broker_details={
'paper_info': {
'oid': oid,
},
'name': self.broker,
},
)
await self.ems_trades_stream.send(msg.dict())
with (
open_trade_ledger(self.broker, 'paper') as ledger,
open_pps(self.broker, 'paper', write_on_exit=True) as table
):
tx = t.to_dict()
tx.pop('sym')
ledger.update({oid: tx})
# Write to pps toml right now
table.update_from_trans({oid: t})
pp = table.pps[key]
pp_msg = BrokerdPosition(
# lookup any existing position
token = f'{symbol}.{self.broker}'
pp_msg = self._positions.setdefault(
token,
BrokerdPosition(
broker=self.broker,
account='paper',
symbol=fqsn,
symbol=symbol,
# TODO: we need to look up the asset currency from
# broker info. i guess for crypto this can be
# inferred from the pair?
currency=key,
size=pp.size,
avg_price=pp.ppu,
currency='',
size=0.0,
avg_price=0,
)
)
await self.ems_trades_stream.send(pp_msg)
# "avg position price" calcs
# TODO: eventually it'd be nice to have a small set of routines
# to do this stuff from a sequence of cleared orders to enable
# so called "contextual positions".
new_size = size + pp_msg.size
# old size minus the new size gives us size differential with
# +ve -> increase in pp size
# -ve -> decrease in pp size
size_diff = abs(new_size) - abs(pp_msg.size)
if new_size == 0:
pp_msg.avg_price = 0
elif size_diff > 0:
# only update the "average position price" when the position
# size increases not when it decreases (i.e. the position is
# being made smaller)
pp_msg.avg_price = (
abs(size) * price + pp_msg.avg_price * abs(pp_msg.size)
) / abs(new_size)
pp_msg.size = new_size
await self.ems_trades_stream.send(pp_msg.dict())
async def simulate_fills(
quote_stream: tractor.MsgStream, # noqa
quote_stream: 'tractor.ReceiveStream', # noqa
client: PaperBoi,
) -> None:
# TODO: more machinery to better simulate real-world market things:
@ -312,116 +306,61 @@ async def simulate_fills(
# this stream may eventually contain multiple symbols
async for quotes in quote_stream:
for sym, quote in quotes.items():
for tick in iterticks(
quote,
# dark order price filter(s)
types=('ask', 'bid', 'trade', 'last')
):
tick_price = tick['price']
# print(tick)
tick_price = tick.get('price')
ttype = tick['type']
buys: bidict[str, tuple] = client._buys[sym]
iter_buys = reversed(sorted(
buys.values(),
key=itemgetter(0),
))
if ttype in ('ask',):
def buy_on_ask(our_price):
return tick_price <= our_price
sells: bidict[str, tuple] = client._sells[sym]
iter_sells = sorted(
sells.values(),
key=itemgetter(0)
)
def sell_on_bid(our_price):
return tick_price >= our_price
match tick:
# on an ask queue tick, only clear buy entries
case {
'price': tick_price,
'type': 'ask',
}:
client.last_ask = (
tick_price,
tick.get('size', client.last_ask[1]),
)
iter_entries = zip(
iter_buys,
itertools.repeat(buy_on_ask)
)
orders = client._buys.get(sym, {})
book_sequence = reversed(
sorted(orders.keys(), key=itemgetter(1)))
def pred(our_price):
return tick_price < our_price
elif ttype in ('bid',):
# on a bid queue tick, only clear sell entries
case {
'price': tick_price,
'type': 'bid',
}:
client.last_bid = (
tick_price,
tick.get('size', client.last_bid[1]),
)
iter_entries = zip(
iter_sells,
itertools.repeat(sell_on_bid)
)
orders = client._sells.get(sym, {})
book_sequence = sorted(orders.keys(), key=itemgetter(1))
# TODO: fix this block, though it definitely
# costs a lot more CPU-wise
# - doesn't seem like clears are happening still on
# "resting" limit orders?
case {
'price': tick_price,
'type': ('trade' | 'last'),
}:
# in the clearing price / last price case we
# want to iterate both sides of our book for
# clears since we don't know which direction the
# price is going to move (especially with HFT)
# and thus we simply interleave both sides (buys
# and sells) until one side clears and then
# break until the next tick?
def interleave():
for pair in zip(
iter_buys,
iter_sells,
):
for order_info, pred in zip(
pair,
itertools.cycle([buy_on_ask, sell_on_bid]),
):
yield order_info, pred
def pred(our_price):
return tick_price > our_price
iter_entries = interleave()
# NOTE: all other (non-clearable) tick event types
# - we don't want to sping the simulated clear loop
# below unecessarily and further don't want to pop
# simulated live orders prematurely.
case _:
elif ttype in ('trade', 'last'):
# TODO: simulate actual book queues and our orders
# place in it, might require full L2 data?
continue
# iterate all potentially clearable book prices
# in FIFO order per side.
for order_info, pred in iter_entries:
(our_price, size, reqid, action) = order_info
# iterate book prices descending
for oid, our_price in book_sequence:
if pred(our_price):
# print(order_info)
clearable = pred(our_price)
if clearable:
# pop and retreive order info
oid = {
'buy': buys,
'sell': sells
}[action].inverse.pop(order_info)
# retreive order info
(size, reqid, action) = orders.pop((oid, our_price))
# clearing price would have filled entirely
await client.fake_fill(
fqsn=sym,
symbol=sym,
# todo slippage to determine fill price
price=tick_price,
size=size,
@ -429,6 +368,9 @@ async def simulate_fills(
reqid=reqid,
oid=oid,
)
else:
# prices are iterated in sorted order so we're done
break
async def handle_order_requests(
@ -438,83 +380,68 @@ async def handle_order_requests(
) -> None:
request_msg: dict
# order_request: dict
async for request_msg in ems_order_stream:
match request_msg:
case {'action': ('buy' | 'sell')}:
order = BrokerdOrder(**request_msg)
account = order.account
# error on bad inputs
reason = None
action = request_msg['action']
if action in {'buy', 'sell'}:
account = request_msg['account']
if account != 'paper':
reason = f'No account found:`{account}` (paper only)?'
elif order.size == 0:
reason = 'Invalid size: 0'
if reason:
log.error(reason)
log.error(
'This is a paper account, only a `paper` selection is valid'
)
await ems_order_stream.send(BrokerdError(
oid=order.oid,
symbol=order.symbol,
reason=reason,
))
oid=request_msg['oid'],
symbol=request_msg['symbol'],
reason=f'Paper only. No account found: `{account}` ?',
).dict())
continue
reqid = order.reqid or str(uuid.uuid4())
# deliver ack that order has been submitted to broker routing
await ems_order_stream.send(
BrokerdOrderAck(
oid=order.oid,
reqid=reqid,
)
)
# validate
order = BrokerdOrder(**request_msg)
# call our client api to submit the order
reqid = await client.submit_limit(
oid=order.oid,
symbol=f'{order.symbol}.{client.broker}',
symbol=order.symbol,
price=order.price,
action=order.action,
size=order.size,
# XXX: by default 0 tells ``ib_insync`` methods that
# there is no existing order so ask the client to create
# a new one (which it seems to do by allocating an int
# counter - collision prone..)
reqid=reqid,
reqid=order.reqid,
)
log.info(f'Submitted paper LIMIT {reqid}:\n{order}')
case {'action': 'cancel'}:
# deliver ack that order has been submitted to broker routing
await ems_order_stream.send(
BrokerdOrderAck(
# ems order request id
oid=order.oid,
# broker specific request id
reqid=reqid,
).dict()
)
elif action == 'cancel':
msg = BrokerdCancel(**request_msg)
await client.submit_cancel(
reqid=msg.reqid
)
case _:
else:
log.error(f'Unknown order command: {request_msg}')
_reqids: bidict[str, tuple] = {}
_buys: defaultdict[
str, # symbol
bidict[
str, # oid
tuple[float, float, str, str], # order info
]
] = defaultdict(bidict)
_sells: defaultdict[
str, # symbol
bidict[
str, # oid
tuple[float, float, str, str], # order info
]
] = defaultdict(bidict)
_positions: dict[str, Position] = {}
@tractor.context
async def trades_dialogue(
@ -524,68 +451,42 @@ async def trades_dialogue(
loglevel: str = None,
) -> None:
tractor.log.get_console_log(loglevel)
async with (
data.open_feed(
[fqsn],
loglevel=loglevel,
) as feed,
):
with open_pps(broker, 'paper') as table:
# save pps in local state
_positions.update(table.pps)
pp_msgs: list[BrokerdPosition] = []
pos: Position
token: str # f'{symbol}.{self.broker}'
for token, pos in _positions.items():
pp_msgs.append(BrokerdPosition(
broker=broker,
account='paper',
symbol=pos.symbol.front_fqsn(),
size=pos.size,
avg_price=pos.ppu,
))
await ctx.started((
pp_msgs,
['paper'],
))
# TODO: load paper positions per broker from .toml config file
# and pass as symbol to position data mapping: ``dict[str, dict]``
# await ctx.started(all_positions)
await ctx.started(({}, {'paper',}))
async with (
ctx.open_stream() as ems_stream,
trio.open_nursery() as n,
):
client = PaperBoi(
broker,
ems_stream,
_buys=_buys,
_sells=_sells,
_buys={},
_sells={},
_reqids=_reqids,
_reqids={},
_positions=_positions,
# TODO: load postions from ledger file
_trade_ledger={},
_syms={
fqsn: flume.symbol
for fqsn, flume in feed.flumes.items()
}
# TODO: load paper positions from ``positions.toml``
_positions={},
)
n.start_soon(
handle_order_requests,
client,
ems_stream,
)
n.start_soon(handle_order_requests, client, ems_stream)
# paper engine simulator clearing task
await simulate_fills(feed.streams[broker], client)
await simulate_fills(feed.stream, client)
@asynccontextmanager
@ -610,7 +511,6 @@ async def open_paperboi(
# (we likely don't need more then one proc for basic
# simulated order clearing)
if portal is None:
log.info('Starting new paper-engine actor')
portal = await tn.start_actor(
service_name,
enable_modules=[__name__]
@ -623,4 +523,5 @@ async def open_paperboi(
loglevel=loglevel,
) as (ctx, first):
yield ctx, first

View File

@ -19,58 +19,38 @@ CLI commons.
'''
import os
from pprint import pformat
import click
import trio
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 ..service import (
_default_registry_host,
_default_registry_port,
)
from .._daemon import _tractor_kwargs
from .. import config
log = get_logger('cli')
DEFAULT_BROKER = 'questrade'
@click.command()
@click.option('--loglevel', '-l', default='warning', help='Logging level')
@click.option('--tl', is_flag=True, help='Enable tractor logging')
@click.option('--pdb', is_flag=True, help='Enable tractor debug mode')
@click.option('--host', '-h', default=None, help='Host addr to bind')
@click.option('--port', '-p', default=None, help='Port number to bind')
@click.option('--host', '-h', default='127.0.0.1', help='Host address to bind')
@click.option(
'--tsdb',
is_flag=True,
help='Enable local ``marketstore`` instance'
)
@click.option(
'--es',
is_flag=True,
help='Enable local ``elasticsearch`` instance'
)
def pikerd(
loglevel: str,
host: str,
port: int,
tl: bool,
pdb: bool,
tsdb: bool,
es: bool,
):
def pikerd(loglevel, host, tl, pdb, tsdb):
'''
Spawn the piker broker-daemon.
'''
from ..service import open_pikerd
from .._daemon import open_pikerd
log = get_console_log(loglevel)
if pdb:
@ -82,25 +62,32 @@ def pikerd(
"\n"
))
reg_addr: None | tuple[str, int] = None
if host or port:
reg_addr = (
host or _default_registry_host,
int(port) or _default_registry_port,
)
async def main():
async with (
open_pikerd(
tsdb=tsdb,
es=es,
loglevel=loglevel,
debug_mode=pdb,
registry_addr=reg_addr,
), # normally delivers a ``Services`` handle
trio.open_nursery() as n,
):
if tsdb:
from piker.data._ahab import start_ahab
from piker.data.marketstore import start_marketstore
log.info('Spawning `marketstore` supervisor')
ctn_ready, config, (cid, pid) = await n.start(
start_ahab,
'marketstored',
start_marketstore,
)
log.info(
f'`marketstore` up!\n'
f'`marketstored` pid: {pid}\n'
f'docker container id: {cid}\n'
f'config: {pformat(config)}'
)
await trio.sleep_forever()
@ -110,46 +97,25 @@ def pikerd(
@click.group(context_settings=config._context_defaults)
@click.option(
'--brokers', '-b',
default=None,
default=[DEFAULT_BROKER],
multiple=True,
help='Broker backend to use'
)
@click.option('--loglevel', '-l', default='warning', help='Logging level')
@click.option('--tl', is_flag=True, help='Enable tractor logging')
@click.option('--configdir', '-c', help='Configuration directory')
@click.option('--host', '-h', default=None, help='Host addr to bind')
@click.option('--port', '-p', default=None, help='Port number to bind')
@click.pass_context
def cli(
ctx: click.Context,
brokers: list[str],
loglevel: str,
tl: bool,
configdir: str,
host: str,
port: int,
) -> None:
def cli(ctx, brokers, loglevel, tl, configdir):
if configdir is not None:
assert os.path.isdir(configdir), f"`{configdir}` is not a valid path"
config._override_config_dir(configdir)
ctx.ensure_object(dict)
if not brokers:
# (try to) load all (supposedly) supported data/broker backends
from piker.brokers import __brokers__
brokers = __brokers__
if len(brokers) == 1:
brokermods = [get_brokermod(brokers[0])]
else:
brokermods = [get_brokermod(broker) for broker in brokers]
assert brokermods
reg_addr: None | tuple[str, int] = None
if host or port:
reg_addr = (
host or _default_registry_host,
int(port) or _default_registry_port,
)
ctx.obj.update({
'brokers': brokers,
@ -159,7 +125,6 @@ def cli(
'log': get_console_log(loglevel),
'confdir': config._config_dir,
'wl_path': config._watchlists_data_path,
'registry_addr': reg_addr,
})
# allow enabling same loglevel in ``tractor`` machinery
@ -169,45 +134,33 @@ def cli(
@cli.command()
@click.option('--tl', is_flag=True, help='Enable tractor logging')
@click.argument('ports', nargs=-1, required=False)
@click.argument('names', nargs=-1, required=False)
@click.pass_obj
def services(config, tl, ports):
from ..service import (
open_piker_runtime,
_default_registry_port,
_default_registry_host,
)
host = _default_registry_host
if not ports:
ports = [_default_registry_port]
def services(config, tl, names):
async def list_services():
nonlocal host
async with (
open_piker_runtime(
name='service_query',
loglevel=config['loglevel'] if tl else None,
),
tractor.get_arbiter(
host=host,
port=ports[0]
) as portal
):
async with tractor.get_arbiter(
*_tractor_kwargs['arbiter_addr']
) as portal:
registry = await portal.run_from_ns('self', 'get_registry')
json_d = {}
for key, socket in registry.items():
# name, uuid = uid
host, port = socket
json_d[key] = f'{host}:{port}'
click.echo(f"{colorize_json(json_d)}")
trio.run(list_services)
tractor.run(
list_services,
name='service_query',
loglevel=config['loglevel'] if tl else None,
arbiter_addr=_tractor_kwargs['arbiter_addr'],
)
def _load_clis() -> None:
from ..service import marketstore # noqa
from ..service import elastic
from ..data import marketstore # noqa
from ..data import cli # noqa
from ..brokers import cli # noqa
from ..ui import cli # noqa

View File

@ -15,17 +15,15 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Platform configuration (files) mgmt.
Broker configuration mgmt.
"""
import platform
import sys
import os
from os import path
from os.path import dirname
import shutil
from typing import Optional
from pathlib import Path
from bidict import bidict
import toml
@ -35,16 +33,9 @@ from .log import get_logger
log = get_logger('broker-config')
# XXX NOTE: taken from ``click`` since apparently they have some
# taken from ``click`` since apparently they have some
# super weirdness with sigint and sudo..no clue
# we're probably going to slowly just modify it to our own version over
# time..
def get_app_dir(
app_name: str,
roaming: bool = True,
force_posix: bool = False,
) -> str:
def get_app_dir(app_name, roaming=True, force_posix=False):
r"""Returns the config folder for the application. The default behavior
is to return whatever is most appropriate for the operating system.
@ -83,30 +74,7 @@ def get_app_dir(
def _posixify(name):
return "-".join(name.split()).lower()
# NOTE: for testing with `pytest` we leverage the `tmp_dir`
# fixture to generate (and clean up) a test-request-specific
# directory for isolated configuration files such that,
# - multiple tests can run (possibly in parallel) without data races
# on the config state,
# - we don't need to ever worry about leaking configs into the
# system thus avoiding needing to manage config cleaup fixtures or
# other bothers (since obviously `tmp_dir` cleans up after itself).
#
# In order to "pass down" the test dir path to all (sub-)actors in
# the actor tree we preload the root actor's runtime vars state (an
# internal mechanism for inheriting state down an actor tree in
# `tractor`) with the testing dir and check for it whenever we
# detect `pytest` is being used (which it isn't under normal
# operation).
if "pytest" in sys.modules:
import tractor
actor = tractor.current_actor(err_on_no_runtime=False)
if actor: # runtime is up
rvs = tractor._state._runtime_vars
testdirpath = Path(rvs['piker_vars']['piker_test_dir'])
assert testdirpath.exists(), 'piker test harness might be borked!?'
app_name = str(testdirpath)
# if WIN:
if platform.system() == 'Windows':
key = "APPDATA" if roaming else "LOCALAPPDATA"
folder = os.environ.get(key)
@ -143,10 +111,8 @@ if _parent_user:
_conf_names: set[str] = {
'brokers',
'pps',
'trades',
'watchlists',
'paper_trades'
}
_watchlists_data_path = os.path.join(_config_dir, 'watchlists.json')
@ -181,21 +147,19 @@ def get_conf_path(
conf_name: str = 'brokers',
) -> str:
'''
Return the top-level default config path normally under
``~/.config/piker`` on linux for a given ``conf_name``, the config
name.
"""Return the default config path normally under
``~/.config/piker`` on linux.
Contains files such as:
- brokers.toml
- pp.toml
- watchlists.toml
- trades.toml
# maybe coming soon ;)
- signals.toml
- strats.toml
'''
"""
assert conf_name in _conf_names
fn = _conf_fn_w_ext(conf_name)
return os.path.join(
@ -209,7 +173,7 @@ def repodir():
Return the abspath to the repo directory.
'''
dirpath = path.abspath(
dirpath = os.path.abspath(
# we're 3 levels down in **this** module file
dirname(dirname(os.path.realpath(__file__)))
)
@ -218,9 +182,7 @@ def repodir():
def load(
conf_name: str = 'brokers',
path: str = None,
**tomlkws,
path: str = None
) -> (dict, str):
'''
@ -228,10 +190,6 @@ def load(
'''
path = path or get_conf_path(conf_name)
if not os.path.isdir(_config_dir):
Path(_config_dir).mkdir(parents=True, exist_ok=True)
if not os.path.isfile(path):
fn = _conf_fn_w_ext(conf_name)
@ -244,15 +202,8 @@ def load(
# if one exists.
if os.path.isfile(template):
shutil.copyfile(template, path)
else:
# create an empty file
with open(path, 'x'):
pass
else:
with open(path, 'r'):
pass # touch it
config = toml.load(path, **tomlkws)
config = toml.load(path)
log.debug(f"Read config file {path}")
return config, path
@ -261,8 +212,6 @@ def write(
config: dict, # toml config as dict
name: str = 'brokers',
path: str = None,
fail_empty: bool = True,
**toml_kwargs,
) -> None:
''''
@ -277,7 +226,7 @@ def write(
log.debug(f"Creating config dir {_config_dir}")
os.makedirs(dirname)
if not config and fail_empty:
if not config:
raise ValueError(
"Watch out you're trying to write a blank config!")
@ -286,14 +235,11 @@ def write(
f"{path}"
)
with open(path, 'w') as cf:
return toml.dump(
config,
cf,
**toml_kwargs,
)
return toml.dump(config, cf)
def load_accounts(
providers: Optional[list[str]] = None
) -> bidict[str, Optional[str]]:

View File

@ -22,12 +22,6 @@ and storing data from your brokers as well as
sharing live streams over a network.
"""
import tractor
import trio
from ..log import (
get_console_log,
)
from ._normalize import iterticks
from ._sharedmem import (
maybe_open_shm_array,
@ -38,6 +32,7 @@ from ._sharedmem import (
)
from .feed import (
open_feed,
_setup_persistent_brokerd,
)
@ -49,40 +44,5 @@ __all__ = [
'attach_shm_array',
'open_shm_array',
'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()

View File

@ -15,12 +15,9 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Supervisor for ``docker`` with included async and SC wrapping
to ensure a cancellable container lifetime system.
Supervisor for docker with included specific-image service helpers.
'''
from collections import ChainMap
from functools import partial
import os
import time
from typing import (
@ -40,18 +37,10 @@ from docker.models.containers import Container as DockerContainer
from docker.errors import (
DockerException,
APIError,
# ContainerError,
)
import requests
from requests.exceptions import (
ConnectionError,
ReadTimeout,
)
from requests.exceptions import ConnectionError, ReadTimeout
from ..log import (
get_logger,
get_console_log,
)
from ..log import get_logger, get_console_log
from .. import config
log = get_logger(__name__)
@ -61,8 +50,8 @@ class DockerNotStarted(Exception):
'Prolly you dint start da daemon bruh'
class ApplicationLogError(Exception):
'App in container reported an error in logs'
class ContainerError(RuntimeError):
'Error reported via app-container logging level'
@acm
@ -107,9 +96,9 @@ async def open_docker(
# not perms?
raise
# finally:
# if client:
# client.close()
finally:
if client:
client.close()
class Container:
@ -130,19 +119,8 @@ class Container:
async def process_logs_until(
self,
log_msg_key: str,
# this is a predicate func for matching log msgs emitted by the
# underlying containerized app
patt_matcher: Callable[[str], bool],
# XXX WARNING XXX: do not touch this sleep value unless
# you know what you are doing! the value is critical to
# making sure the caller code inside the startup context
# does not timeout BEFORE we receive a match on the
# ``patt_matcher()`` predicate above.
checkpoint_period: float = 0.001,
patt: str,
bp_on_msg: bool = False,
) -> bool:
'''
Attempt to capture container log messages and relay through our
@ -153,15 +131,6 @@ class Container:
while True:
logs = self.cntr.logs()
try:
logs = self.cntr.logs()
except (
docker.errors.NotFound,
docker.errors.APIError
):
log.exception('Failed to parse logs?')
return False
entries = logs.decode().split('\n')
for entry in entries:
@ -169,44 +138,34 @@ class Container:
if not entry:
continue
entry = entry.strip()
try:
record = json.loads(entry)
msg = record[log_msg_key]
level = record['level']
record = json.loads(entry.strip())
except json.JSONDecodeError:
msg = entry
level = 'error'
if 'Error' in entry:
raise RuntimeError(entry)
raise
# TODO: do we need a more general mechanism
# for these kinda of "log record entries"?
# if 'Error' in entry:
# raise RuntimeError(entry)
if (
msg
and entry not in seen_so_far
):
msg = record['msg']
level = record['level']
if msg and entry not in seen_so_far:
seen_so_far.add(entry)
getattr(log, level.lower(), log.error)(f'{msg}')
if bp_on_msg:
await tractor.breakpoint()
if level == 'fatal':
raise ApplicationLogError(msg)
getattr(log, level, log.error)(f'{msg}')
if await patt_matcher(msg):
# print(f'level: {level}')
if level in ('error', 'fatal'):
raise ContainerError(msg)
if patt in msg:
return True
# do a checkpoint so we don't block if cancelled B)
await trio.sleep(checkpoint_period)
await trio.sleep(0.01)
return False
@property
def cuid(self) -> str:
fqcn: str = self.cntr.attrs['Config']['Image']
return f'{fqcn}[{self.cntr.short_id}]'
def try_signal(
self,
signal: str = 'SIGINT',
@ -226,66 +185,30 @@ class Container:
if 'is not running' in err.explanation:
return False
def hard_kill(self, start: float) -> None:
delay = time.time() - start
# get out the big guns, bc apparently marketstore
# doesn't actually know how to terminate gracefully
# :eyeroll:...
log.error(
f'SIGKILL-ing: {self.cntr.id} after {delay}s\n'
)
self.try_signal('SIGKILL')
self.cntr.wait(
timeout=3,
condition='not-running',
)
async def cancel(
self,
log_msg_key: str,
stop_predicate: Callable[[str], bool],
hard_kill: bool = False,
stop_msg: str,
) -> None:
'''
Attempt to cancel this container gracefully, fail over to
a hard kill on timeout.
'''
cid = self.cntr.id
# first try a graceful cancel
log.cancel(
f'SIGINT cancelling container: {self.cuid}\n'
'waiting on stop predicate...'
f'SIGINT cancelling container: {cid}\n'
f'waiting on stop msg: "{stop_msg}"'
)
self.try_signal('SIGINT')
start = time.time()
for _ in range(6):
for _ in range(30):
with trio.move_on_after(0.5) as cs:
log.cancel('polling for CNTR logs...')
cs.shield = True
await self.process_logs_until(stop_msg)
try:
await self.process_logs_until(
log_msg_key,
stop_predicate,
)
except ApplicationLogError:
hard_kill = True
else:
# if we aren't cancelled on above checkpoint then we
# assume we read the expected stop msg and
# terminated.
# assume we read the expected stop msg and terminated.
break
if cs.cancelled_caught:
# on timeout just try a hard kill after
# a quick container sync-wait.
hard_kill = True
try:
log.info(f'Polling for container shutdown:\n{cid}')
@ -295,7 +218,6 @@ class Container:
condition='not-running',
)
# graceful exit if we didn't time out
break
except (
@ -307,22 +229,24 @@ class Container:
except (
docker.errors.APIError,
ConnectionError,
requests.exceptions.ConnectionError,
trio.Cancelled,
):
log.exception('Docker connection failure')
self.hard_kill(start)
raise
except trio.Cancelled:
log.exception('trio cancelled...')
self.hard_kill(start)
break
else:
hard_kill = True
delay = time.time() - start
log.error(
f'Failed to kill container {cid} after {delay}s\n'
'sending SIGKILL..'
)
# get out the big guns, bc apparently marketstore
# doesn't actually know how to terminate gracefully
# :eyeroll:...
self.try_signal('SIGKILL')
self.cntr.wait(
timeout=3,
condition='not-running',
)
if hard_kill:
self.hard_kill(start)
else:
log.cancel(f'Container stopped: {cid}')
@ -330,16 +254,11 @@ class Container:
async def open_ahabd(
ctx: tractor.Context,
endpoint: str, # ns-pointer str-msg-type
loglevel: str | None = 'cancel',
**kwargs,
) -> None:
log = get_console_log(
loglevel,
name=__name__,
)
get_console_log('info', name=__name__)
async with open_docker() as client:
@ -350,84 +269,26 @@ async def open_ahabd(
(
dcntr,
cntr_config,
start_pred,
stop_pred,
start_msg,
stop_msg,
) = ep_func(client)
cntr = Container(dcntr)
conf: ChainMap[str, Any] = ChainMap(
with trio.move_on_after(1):
found = await cntr.process_logs_until(start_msg)
# container specific
cntr_config,
# defaults
{
# startup time limit which is the max the supervisor
# will wait for the container to be registered in
# ``client.containers.list()``
'startup_timeout': 1.0,
# how fast to poll for the starup predicate by sleeping
# this amount incrementally thus yielding to the
# ``trio`` scheduler on during sync polling execution.
'startup_query_period': 0.001,
# str-key value expected to contain log message body-contents
# when read using:
# ``json.loads(entry for entry in DockerContainer.logs())``
'log_msg_key': 'msg',
# startup sync func, like `Nursery.started()`
'started_afunc': None,
},
if not found and cntr not in client.containers.list():
raise RuntimeError(
'Failed to start `marketstore` check logs deats'
)
try:
with trio.move_on_after(conf['startup_timeout']) as cs:
async with trio.open_nursery() as tn:
tn.start_soon(
partial(
cntr.process_logs_until,
log_msg_key=conf['log_msg_key'],
patt_matcher=start_pred,
checkpoint_period=conf['startup_query_period'],
)
)
# optional blocking routine
started = conf['started_afunc']
if started:
await started()
# poll for container startup or timeout
while not cs.cancel_called:
if dcntr in client.containers.list():
break
await trio.sleep(conf['startup_query_period'])
# sync with remote caller actor-task but allow log
# processing to continue running in bg.
await ctx.started((
cntr.cntr.id,
os.getpid(),
cntr_config,
))
# XXX: if we timeout on finding the "startup msg" we
# expect then we want to FOR SURE raise an error
# upwards!
if cs.cancelled_caught:
# if dcntr not in client.containers.list():
for entry in cntr.seen_so_far:
log.info(entry)
raise DockerNotStarted(
f'Failed to start container: {cntr.cuid}\n'
f'due to timeout={conf["startup_timeout"]}s\n\n'
"check ur container's logs!"
)
try:
# TODO: we might eventually want a proxy-style msg-prot here
# to allow remote control of containers without needing
@ -435,25 +296,13 @@ async def open_ahabd(
await trio.sleep_forever()
finally:
# TODO: ensure loglevel can be set and teardown logs are
# reported if possible on error or cancel..
# XXX WARNING: currently shielding here can result in hangs
# on ctl-c from user.. ideally we can avoid a cancel getting
# consumed and not propagating whilst still doing teardown
# logging..
with trio.CancelScope(shield=True):
await cntr.cancel(
log_msg_key=conf['log_msg_key'],
stop_predicate=stop_pred,
)
await cntr.cancel(stop_msg)
async def start_ahab(
service_name: str,
endpoint: Callable[docker.DockerClient, DockerContainer],
loglevel: str | None = 'cancel',
drop_root_perms: bool = True,
task_status: TaskStatus[
tuple[
trio.Event,
@ -474,12 +323,13 @@ async def start_ahab(
'''
cn_ready = trio.Event()
try:
async with tractor.open_nursery() as an:
async with tractor.open_nursery(
loglevel='runtime',
) as tn:
portal = await an.start_actor(
portal = await tn.start_actor(
service_name,
enable_modules=[__name__],
loglevel=loglevel,
enable_modules=[__name__]
)
# TODO: we have issues with this on teardown
@ -489,10 +339,7 @@ async def start_ahab(
# de-escalate root perms to the original user
# after the docker supervisor actor is spawned.
if (
drop_root_perms
and config._parent_user
):
if config._parent_user:
import pwd
os.setuid(
pwd.getpwnam(
@ -503,7 +350,6 @@ async def start_ahab(
async with portal.open_context(
open_ahabd,
endpoint=str(NamespacePath.from_ref(endpoint)),
loglevel='cancel',
) as (ctx, first):
cid, pid, cntr_config = first

View File

@ -1,827 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Pre-(path)-graphics formatted x/y nd/1d rendering subsystem.
"""
from __future__ import annotations
from typing import (
Optional,
TYPE_CHECKING,
)
import msgspec
from msgspec import field
import numpy as np
from numpy.lib import recfunctions as rfn
from ._sharedmem import (
ShmArray,
)
from ._pathops import (
path_arrays_from_ohlc,
)
if TYPE_CHECKING:
from ._dataviz import (
Viz,
)
from .._profile import Profiler
class IncrementalFormatter(msgspec.Struct):
'''
Incrementally updating, pre-path-graphics tracking, formatter.
Allows tracking source data state in an updateable pre-graphics
``np.ndarray`` format (in local process memory) as well as
incrementally rendering from that format **to** 1d x/y for path
generation using ``pg.functions.arrayToQPath()``.
'''
shm: ShmArray
viz: Viz
# the value to be multiplied any any index into the x/y_1d arrays
# given the input index is based on the original source data array.
flat_index_ratio: float = 1
@property
def index_field(self) -> 'str':
'''
Value (``str``) used to look up the "index series" from the
underlying source ``numpy`` struct-array; delegate directly to
the managing ``Viz``.
'''
return self.viz.index_field
# Incrementally updated xy ndarray formatted data, a pre-1d
# format which is updated and cached independently of the final
# pre-graphics-path 1d format.
x_nd: Optional[np.ndarray] = None
y_nd: Optional[np.ndarray] = None
@property
def xy_nd(self) -> tuple[np.ndarray, np.ndarray]:
return (
self.x_nd[self.xy_slice],
self.y_nd[self.xy_slice],
)
@property
def xy_slice(self) -> slice:
return slice(
self.xy_nd_start,
self.xy_nd_stop,
)
# indexes which slice into the above arrays (which are allocated
# based on source data shm input size) and allow retrieving
# incrementally updated data.
xy_nd_start: int | None = None
xy_nd_stop: int | None = None
# TODO: eventually incrementally update 1d-pre-graphics path data?
x_1d: np.ndarray | None = None
y_1d: np.ndarray | None = None
# incremental view-change state(s) tracking
_last_vr: tuple[float, float] | None = None
_last_ivdr: tuple[float, float] | None = None
@property
def index_step_size(self) -> float:
'''
Readonly value computed on first ``.diff()`` call.
'''
return self.viz.index_step()
def diff(
self,
new_read: tuple[np.ndarray],
) -> tuple[
np.ndarray,
np.ndarray,
]:
# TODO:
# - can the renderer just call ``Viz.read()`` directly? unpack
# latest source data read
# - eventually maybe we can implement some kind of
# transform on the ``QPainterPath`` that will more or less
# detect the diff in "elements" terms? update diff state since
# we've now rendered paths.
(
xfirst,
xlast,
array,
ivl,
ivr,
in_view,
) = new_read
index = array['index']
# if the first index in the read array is 0 then
# it means the source buffer has bee completely backfilled to
# available space.
src_start = index[0]
src_stop = index[-1] + 1
# these are the "formatted output data" indices
# for the pre-graphics arrays.
nd_start = self.xy_nd_start
nd_stop = self.xy_nd_stop
if (
nd_start is None
):
assert nd_stop is None
# setup to do a prepend of all existing src history
nd_start = self.xy_nd_start = src_stop
# set us in a zero-to-append state
nd_stop = self.xy_nd_stop = src_stop
# compute the length diffs between the first/last index entry in
# the input data and the last indexes we have on record from the
# last time we updated the curve index.
prepend_length = int(nd_start - src_start)
append_length = int(src_stop - nd_stop)
# blah blah blah
# do diffing for prepend, append and last entry
return (
slice(src_start, nd_start),
prepend_length,
append_length,
slice(nd_stop, src_stop),
)
def _track_inview_range(
self,
view_range: tuple[int, int],
) -> bool:
# if a view range is passed, plan to draw the
# source ouput that's "in view" of the chart.
vl, vr = view_range
zoom_or_append = False
last_vr = self._last_vr
# incremental in-view data update.
if last_vr:
lvl, lvr = last_vr # relative slice indices
# TODO: detecting more specifically the interaction changes
# last_ivr = self._last_ivdr or (vl, vr)
# al, ar = last_ivr # abs slice indices
# left_change = abs(x_iv[0] - al) >= 1
# right_change = abs(x_iv[-1] - ar) >= 1
# likely a zoom/pan view change or data append update
if (
(vr - lvr) > 2
or vl < lvl
# append / prepend update
# we had an append update where the view range
# didn't change but the data-viewed (shifted)
# underneath, so we need to redraw.
# or left_change and right_change and last_vr == view_range
# not (left_change and right_change) and ivr
# (
# or abs(x_iv[ivr] - livr) > 1
):
zoom_or_append = True
self._last_vr = view_range
return zoom_or_append
def format_to_1d(
self,
new_read: tuple,
array_key: str,
profiler: Profiler,
slice_to_inview: bool = True,
) -> tuple[
np.ndarray,
np.ndarray,
]:
shm = self.shm
(
_,
_,
array,
ivl,
ivr,
in_view,
) = new_read
(
pre_slice,
prepend_len,
append_len,
post_slice,
) = self.diff(new_read)
# we first need to allocate xy data arrays
# from the source data.
if self.y_nd is None:
self.xy_nd_start = shm._first.value
self.xy_nd_stop = shm._last.value
self.x_nd, self.y_nd = self.allocate_xy_nd(
shm,
array_key,
)
profiler('allocated xy history')
# once allocated we do incremental pre/append
# updates from the diff with the source buffer.
else:
if prepend_len:
self.incr_update_xy_nd(
shm,
array_key,
# this is the pre-sliced, "normally expected"
# new data that an updater would normally be
# expected to process, however in some cases (like
# step curves) the updater routine may want to do
# the source history-data reading itself, so we pass
# both here.
shm._array[pre_slice],
pre_slice,
prepend_len,
self.xy_nd_start,
self.xy_nd_stop,
is_append=False,
)
self.xy_nd_start -= prepend_len
profiler('prepended xy history: {prepend_length}')
if append_len:
self.incr_update_xy_nd(
shm,
array_key,
shm._array[post_slice],
post_slice,
append_len,
self.xy_nd_start,
self.xy_nd_stop,
is_append=True,
)
self.xy_nd_stop += append_len
profiler('appened xy history: {append_length}')
# sanity
# slice_ln = post_slice.stop - post_slice.start
# assert append_len == slice_ln
view_changed: bool = False
view_range: tuple[int, int] = (ivl, ivr)
if slice_to_inview:
view_changed = self._track_inview_range(view_range)
array = in_view
profiler(f'{self.viz.name} view range slice {view_range}')
# TODO: we need to check if the last-datum-in-view is true and
# if so only slice to the 2nd last datumonly slice to the 2nd
# last datum.
# hist = array[:slice_to_head]
# XXX: WOA WTF TRACTOR DEBUGGING BUGGG
# assert 0
# xy-path data transform: convert source data to a format
# able to be passed to a `QPainterPath` rendering routine.
if not len(array):
# XXX: this might be why the profiler only has exits?
return
# TODO: hist here should be the pre-sliced
# x/y_data in the case where allocate_xy is
# defined?
x_1d, y_1d, connect = self.format_xy_nd_to_1d(
array,
array_key,
view_range,
)
# cache/save last 1d outputs for use by other
# readers (eg. `Viz.draw_last_datum()` in the
# only-draw-last-uppx case).
self.x_1d = x_1d
self.y_1d = y_1d
# app_tres = None
# if append_len:
# appended = array[-append_len-1:slice_to_head]
# app_tres = self.format_xy_nd_to_1d(
# appended,
# array_key,
# (
# view_range[1] - append_len + slice_to_head,
# view_range[1]
# ),
# )
# # assert (len(appended) - 1) == append_len
# # assert len(appended) == append_len
# print(
# f'{self.viz.name} APPEND LEN: {append_len}\n'
# f'{self.viz.name} APPENDED: {appended}\n'
# f'{self.viz.name} app_tres: {app_tres}\n'
# )
# update the last "in view data range"
if len(x_1d):
self._last_ivdr = x_1d[0], x_1d[-1]
profiler('.format_to_1d()')
return (
x_1d,
y_1d,
connect,
prepend_len,
append_len,
view_changed,
# app_tres,
)
###############################
# Sub-type override interface #
###############################
x_offset: np.ndarray = np.array([0])
# optional pre-graphics xy formatted data which
# is incrementally updated in sync with the source data.
# XXX: was ``.allocate_xy()``
def allocate_xy_nd(
self,
src_shm: ShmArray,
data_field: str,
) -> tuple[
np.ndarray, # x
np.nd.array # y
]:
'''
Convert the structured-array ``src_shm`` format to
a equivalently shaped (and field-less) ``np.ndarray``.
Eg. a 4 field x N struct-array => (N, 4)
'''
y_nd = src_shm._array[data_field].copy()
x_nd = (
src_shm._array[self.index_field].copy()
+
self.x_offset
)
return x_nd, y_nd
# XXX: was ``.update_xy()``
def incr_update_xy_nd(
self,
src_shm: ShmArray,
data_field: str,
new_from_src: np.ndarray, # portion of source that was updated
read_slc: slice,
ln: int, # len of updated
nd_start: int,
nd_stop: int,
is_append: bool,
) -> None:
# write pushed data to flattened copy
y_nd_new = new_from_src[data_field]
self.y_nd[read_slc] = y_nd_new
x_nd_new = self.x_nd[read_slc]
x_nd_new[:] = (
new_from_src[self.index_field]
+
self.x_offset
)
# x_nd = self.x_nd[self.xy_slice]
# y_nd = self.y_nd[self.xy_slice]
# name = self.viz.name
# if 'trade_rate' == name:
# s = 4
# print(
# f'{name.upper()}:\n'
# 'NEW_FROM_SRC:\n'
# f'new_from_src: {new_from_src}\n\n'
# f'PRE self.x_nd:'
# f'\n{list(x_nd[-s:])}\n'
# f'PRE self.y_nd:\n'
# f'{list(y_nd[-s:])}\n\n'
# f'TO WRITE:\n'
# f'x_nd_new:\n'
# f'{x_nd_new[0]}\n'
# f'y_nd_new:\n'
# f'{y_nd_new}\n'
# )
# XXX: was ``.format_xy()``
def format_xy_nd_to_1d(
self,
array: np.ndarray,
array_key: str,
vr: tuple[int, int],
) -> tuple[
np.ndarray, # 1d x
np.ndarray, # 1d y
np.ndarray | str, # connection array/style
]:
'''
Default xy-nd array to 1d pre-graphics-path render routine.
Return single field column data verbatim
'''
# NOTE: we don't include the very last datum which is filled in
# normally by another graphics object.
x_1d = array[self.index_field][:-1]
y_1d = array[array_key][:-1]
# name = self.viz.name
# if 'trade_rate' == name:
# s = 4
# x_nd = list(self.x_nd[self.xy_slice][-s:-1])
# y_nd = list(self.y_nd[self.xy_slice][-s:-1])
# print(
# f'{name}:\n'
# f'XY data:\n'
# f'x: {x_nd}\n'
# f'y: {y_nd}\n\n'
# f'x_1d: {list(x_1d[-s:])}\n'
# f'y_1d: {list(y_1d[-s:])}\n\n'
# )
return (
x_1d,
y_1d,
# 1d connection array or style-key to
# ``pg.functions.arrayToQPath()``
'all',
)
class OHLCBarsFmtr(IncrementalFormatter):
x_offset: np.ndarray = np.array([
-0.5,
0,
0,
0.5,
])
fields: list[str] = field(
default_factory=lambda: ['open', 'high', 'low', 'close']
)
flat_index_ratio: float = 4
def allocate_xy_nd(
self,
ohlc_shm: ShmArray,
data_field: str,
) -> tuple[
np.ndarray, # x
np.nd.array # y
]:
'''
Convert an input struct-array holding OHLC samples into a pair of
flattened x, y arrays with the same size (datums wise) as the source
data.
'''
y_nd = ohlc_shm.ustruct(self.fields)
# generate an flat-interpolated x-domain
x_nd = (
np.broadcast_to(
ohlc_shm._array[self.index_field][:, None],
(
ohlc_shm._array.size,
# 4, # only ohlc
y_nd.shape[1],
),
)
+
self.x_offset
)
assert y_nd.any()
# write pushed data to flattened copy
return (
x_nd,
y_nd,
)
def incr_update_xy_nd(
self,
src_shm: ShmArray,
data_field: str,
new_from_src: np.ndarray, # portion of source that was updated
read_slc: slice,
ln: int, # len of updated
nd_start: int,
nd_stop: int,
is_append: bool,
) -> None:
# write newly pushed data to flattened copy
# a struct-arr is always passed in.
new_y_nd = rfn.structured_to_unstructured(
new_from_src[self.fields]
)
self.y_nd[read_slc] = new_y_nd
# generate same-valued-per-row x support based on y shape
x_nd_new = self.x_nd[read_slc]
x_nd_new[:] = np.broadcast_to(
new_from_src[self.index_field][:, None],
new_y_nd.shape,
) + self.x_offset
# TODO: can we drop this frame and just use the above?
def format_xy_nd_to_1d(
self,
array: np.ndarray,
array_key: str,
vr: tuple[int, int],
start: int = 0, # XXX: do we need this?
# 0.5 is no overlap between arms, 1.0 is full overlap
w: float = 0.16,
) -> tuple[
np.ndarray,
np.ndarray,
np.ndarray,
]:
'''
More or less direct proxy to the ``numba``-fied
``path_arrays_from_ohlc()`` (above) but with closed in kwargs
for line spacing.
'''
x, y, c = path_arrays_from_ohlc(
array[:-1],
start,
bar_w=self.index_step_size,
bar_gap=w * self.index_step_size,
# XXX: don't ask, due to a ``numba`` bug..
use_time_index=(self.index_field == 'time'),
)
return x, y, c
class OHLCBarsAsCurveFmtr(OHLCBarsFmtr):
def format_xy_nd_to_1d(
self,
array: np.ndarray,
array_key: str,
vr: tuple[int, int],
) -> tuple[
np.ndarray,
np.ndarray,
str,
]:
# TODO: in the case of an existing ``.update_xy()``
# should we be passing in array as an xy arrays tuple?
# 2 more datum-indexes to capture zero at end
x_flat = self.x_nd[self.xy_nd_start:self.xy_nd_stop-1]
y_flat = self.y_nd[self.xy_nd_start:self.xy_nd_stop-1]
# slice to view
ivl, ivr = vr
x_iv_flat = x_flat[ivl:ivr]
y_iv_flat = y_flat[ivl:ivr]
# reshape to 1d for graphics rendering
y_iv = y_iv_flat.reshape(-1)
x_iv = x_iv_flat.reshape(-1)
return x_iv, y_iv, 'all'
class StepCurveFmtr(IncrementalFormatter):
x_offset: np.ndarray = np.array([
0,
1,
])
def allocate_xy_nd(
self,
shm: ShmArray,
data_field: str,
) -> tuple[
np.ndarray, # x
np.nd.array # y
]:
'''
Convert an input 1d shm array to a "step array" format
for use by path graphics generation.
'''
i = shm._array[self.index_field].copy()
out = shm._array[data_field].copy()
x_out = (
np.broadcast_to(
i[:, None],
(i.size, 2),
)
+
self.x_offset
)
# fill out Nx2 array to hold each step's left + right vertices.
y_out = np.empty(
x_out.shape,
dtype=out.dtype,
)
# fill in (current) values from source shm buffer
y_out[:] = out[:, np.newaxis]
# TODO: pretty sure we can drop this?
# start y at origin level
# y_out[0, 0] = 0
# y_out[self.xy_nd_start] = 0
return x_out, y_out
def incr_update_xy_nd(
self,
src_shm: ShmArray,
array_key: str,
new_from_src: np.ndarray, # portion of source that was updated
read_slc: slice,
ln: int, # len of updated
nd_start: int,
nd_stop: int,
is_append: bool,
) -> tuple[
np.ndarray,
slice,
]:
# NOTE: for a step curve we slice from one datum prior
# to the current "update slice" to get the previous
# "level".
#
# why this is needed,
# - the current new append slice will often have a zero
# value in the latest datum-step (at least for zero-on-new
# cases like vlm in the) as per configuration of the FSP
# engine.
# - we need to look back a datum to get the last level which
# will be used to terminate/complete the last step x-width
# which will be set to pair with the last x-index THIS MEANS
#
# XXX: this means WE CAN'T USE the append slice since we need to
# "look backward" one step to get the needed back-to-zero level
# and the update data in ``new_from_src`` will only contain the
# latest new data.
back_1 = slice(
read_slc.start - 1,
read_slc.stop,
)
to_write = src_shm._array[back_1]
y_nd_new = self.y_nd[back_1]
y_nd_new[:] = to_write[array_key][:, None]
x_nd_new = self.x_nd[read_slc]
x_nd_new[:] = (
new_from_src[self.index_field][:, None]
+
self.x_offset
)
# XXX: uncomment for debugging
# x_nd = self.x_nd[self.xy_slice]
# y_nd = self.y_nd[self.xy_slice]
# name = self.viz.name
# if 'dolla_vlm' in name:
# s = 4
# print(
# f'{name}:\n'
# 'NEW_FROM_SRC:\n'
# f'new_from_src: {new_from_src}\n\n'
# f'PRE self.x_nd:'
# f'\n{x_nd[-s:]}\n'
# f'PRE self.y_nd:\n'
# f'{y_nd[-s:]}\n\n'
# f'TO WRITE:\n'
# f'x_nd_new:\n'
# f'{x_nd_new}\n'
# f'y_nd_new:\n'
# f'{y_nd_new}\n'
# )
def format_xy_nd_to_1d(
self,
array: np.ndarray,
array_key: str,
vr: tuple[int, int],
) -> tuple[
np.ndarray,
np.ndarray,
str,
]:
last_t, last = array[-1][[self.index_field, array_key]]
start = self.xy_nd_start
stop = self.xy_nd_stop
x_step = self.x_nd[start:stop]
y_step = self.y_nd[start:stop]
# slice out in-view data
ivl, ivr = vr
# NOTE: add an extra step to get the vertical-line-down-to-zero
# adjacent to the last-datum graphic (filled rect).
x_step_iv = x_step[ivl:ivr+1]
y_step_iv = y_step[ivl:ivr+1]
# flatten to 1d
x_1d = x_step_iv.reshape(x_step_iv.size)
y_1d = y_step_iv.reshape(y_step_iv.size)
# debugging
# if y_1d.any():
# s = 6
# print(
# f'x_step_iv:\n{x_step_iv[-s:]}\n'
# f'y_step_iv:\n{y_step_iv[-s:]}\n\n'
# f'x_1d:\n{x_1d[-s:]}\n'
# f'y_1d:\n{y_1d[-s:]}\n'
# )
return x_1d, y_1d, 'all'

View File

@ -56,7 +56,7 @@ def iterticks(
sig = (
time,
tick['price'],
tick.get('size')
tick['size']
)
if ttype == 'dark_trade':

View File

@ -1,452 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Super fast ``QPainterPath`` generation related operator routines.
"""
from math import (
ceil,
floor,
)
import numpy as np
from numpy.lib import recfunctions as rfn
from numba import (
# types,
njit,
float64,
int64,
# optional,
)
# TODO: for ``numba`` typing..
# from ._source import numba_ohlc_dtype
from ._m4 import ds_m4
from .._profile import (
Profiler,
pg_profile_enabled,
ms_slower_then,
)
def xy_downsample(
x,
y,
uppx,
x_spacer: float = 0.5,
) -> tuple[
np.ndarray,
np.ndarray,
float,
float,
]:
'''
Downsample 1D (flat ``numpy.ndarray``) arrays using M4 given an input
``uppx`` (units-per-pixel) and add space between discreet datums.
'''
# downsample whenever more then 1 pixels per datum can be shown.
# always refresh data bounds until we get diffing
# working properly, see above..
m4_out = ds_m4(
x,
y,
uppx,
)
if m4_out is not None:
bins, x, y, ymn, ymx = m4_out
# flatten output to 1d arrays suitable for path-graphics generation.
x = np.broadcast_to(x[:, None], y.shape)
x = (x + np.array(
[-x_spacer, 0, 0, x_spacer]
)).flatten()
y = y.flatten()
return x, y, ymn, ymx
# XXX: we accept a None output for the case where the input range
# to ``ds_m4()`` is bad (-ve) and we want to catch and debug
# that (seemingly super rare) circumstance..
return None
@njit(
# NOTE: need to construct this manually for readonly
# arrays, see https://github.com/numba/numba/issues/4511
# (
# types.Array(
# numba_ohlc_dtype,
# 1,
# 'C',
# readonly=True,
# ),
# int64,
# types.unicode_type,
# optional(float64),
# ),
nogil=True
)
def path_arrays_from_ohlc(
data: np.ndarray,
start: int64,
bar_w: float64,
bar_gap: float64 = 0.16,
use_time_index: bool = True,
# XXX: ``numba`` issue: https://github.com/numba/numba/issues/8622
# index_field: str,
) -> tuple[
np.ndarray,
np.ndarray,
np.ndarray,
]:
'''
Generate an array of lines objects from input ohlc data.
'''
size = int(data.shape[0] * 6)
# XXX: see this for why the dtype might have to be defined outside
# the routine.
# https://github.com/numba/numba/issues/4098#issuecomment-493914533
x = np.zeros(
shape=size,
dtype=float64,
)
y, c = x.copy(), x.copy()
half_w: float = bar_w/2
# TODO: report bug for assert @
# /home/goodboy/repos/piker/env/lib/python3.8/site-packages/numba/core/typing/builtins.py:991
for i, q in enumerate(data[start:], start):
open = q['open']
high = q['high']
low = q['low']
close = q['close']
if use_time_index:
index = float64(q['time'])
else:
index = float64(q['index'])
# XXX: ``numba`` issue: https://github.com/numba/numba/issues/8622
# index = float64(q[index_field])
# AND this (probably)
# open, high, low, close, index = q[
# ['open', 'high', 'low', 'close', 'index']]
istart = i * 6
istop = istart + 6
# x,y detail the 6 points which connect all vertexes of a ohlc bar
mid: float = index + half_w
x[istart:istop] = (
index + bar_gap,
mid,
mid,
mid,
mid,
index + bar_w - bar_gap,
)
y[istart:istop] = (
open,
open,
low,
high,
close,
close,
)
# specifies that the first edge is never connected to the
# prior bars last edge thus providing a small "gap"/"space"
# between bars determined by ``bar_gap``.
c[istart:istop] = (1, 1, 1, 1, 1, 0)
return x, y, c
def hl2mxmn(
ohlc: np.ndarray,
index_field: str = 'index',
) -> np.ndarray:
'''
Convert a OHLC struct-array containing 'high'/'low' columns
to a "joined" max/min 1-d array.
'''
index = ohlc[index_field]
hls = ohlc[[
'low',
'high',
]]
mxmn = np.empty(2*hls.size, dtype=np.float64)
x = np.empty(2*hls.size, dtype=np.float64)
trace_hl(hls, mxmn, x, index[0])
x = x + index[0]
return mxmn, x
@njit(
# TODO: the type annots..
# float64[:](float64[:],),
)
def trace_hl(
hl: 'np.ndarray',
out: np.ndarray,
x: np.ndarray,
start: int,
# the "offset" values in the x-domain which
# place the 2 output points around each ``int``
# master index.
margin: float = 0.43,
) -> None:
'''
"Trace" the outline of the high-low values of an ohlc sequence
as a line such that the maximum deviation (aka disperaion) between
bars if preserved.
This routine is expected to modify input arrays in-place.
'''
last_l = hl['low'][0]
last_h = hl['high'][0]
for i in range(hl.size):
row = hl[i]
l, h = row['low'], row['high']
up_diff = h - last_l
down_diff = last_h - l
if up_diff > down_diff:
out[2*i + 1] = h
out[2*i] = last_l
else:
out[2*i + 1] = l
out[2*i] = last_h
last_l = l
last_h = h
x[2*i] = int(i) - margin
x[2*i + 1] = int(i) + margin
return out
def ohlc_flatten(
ohlc: np.ndarray,
use_mxmn: bool = True,
index_field: str = 'index',
) -> tuple[np.ndarray, np.ndarray]:
'''
Convert an OHLCV struct-array into a flat ready-for-line-plotting
1-d array that is 4 times the size with x-domain values distributed
evenly (by 0.5 steps) over each index.
'''
index = ohlc[index_field]
if use_mxmn:
# traces a line optimally over highs to lows
# using numba. NOTE: pretty sure this is faster
# and looks about the same as the below output.
flat, x = hl2mxmn(ohlc)
else:
flat = rfn.structured_to_unstructured(
ohlc[['open', 'high', 'low', 'close']]
).flatten()
x = np.linspace(
start=index[0] - 0.5,
stop=index[-1] + 0.5,
num=len(flat),
)
return x, flat
def slice_from_time(
arr: np.ndarray,
start_t: float,
stop_t: float,
step: int | None = None,
) -> slice:
'''
Calculate array indices mapped from a time range and return them in
a slice.
Given an input array with an epoch `'time'` series entry, calculate
the indices which span the time range and return in a slice. Presume
each `'time'` step increment is uniform and when the time stamp
series contains gaps (the uniform presumption is untrue) use
``np.searchsorted()`` binary search to look up the appropriate
index.
'''
profiler = Profiler(
msg='slice_from_time()',
disabled=not pg_profile_enabled(),
ms_threshold=ms_slower_then,
)
times = arr['time']
t_first = floor(times[0])
t_last = ceil(times[-1])
# the greatest index we can return which slices to the
# end of the input array.
read_i_max = arr.shape[0]
# TODO: require this is always passed in?
if step is None:
step = round(t_last - times[-2])
if step == 0:
step = 1
# compute (presumed) uniform-time-step index offsets
i_start_t = floor(start_t)
read_i_start = floor(((i_start_t - t_first) // step)) - 1
i_stop_t = ceil(stop_t)
# XXX: edge case -> always set stop index to last in array whenever
# the input stop time is detected to be greater then the equiv time
# stamp at that last entry.
if i_stop_t >= t_last:
read_i_stop = read_i_max
else:
read_i_stop = ceil((i_stop_t - t_first) // step) + 1
# always clip outputs to array support
# for read start:
# - never allow a start < the 0 index
# - never allow an end index > the read array len
read_i_start = min(
max(0, read_i_start),
read_i_max - 1,
)
read_i_stop = max(
0,
min(read_i_stop, read_i_max),
)
# check for larger-then-latest calculated index for given start
# time, in which case we do a binary search for the correct index.
# NOTE: this is usually the result of a time series with time gaps
# where it is expected that each index step maps to a uniform step
# in the time stamp series.
t_iv_start = times[read_i_start]
if (
t_iv_start > i_start_t
):
# do a binary search for the best index mapping to ``start_t``
# given we measured an overshoot using the uniform-time-step
# calculation from above.
# TODO: once we start caching these per source-array,
# we can just overwrite ``read_i_start`` directly.
new_read_i_start = np.searchsorted(
times,
i_start_t,
side='left',
)
# TODO: minimize binary search work as much as possible:
# - cache these remap values which compensate for gaps in the
# uniform time step basis where we calc a later start
# index for the given input ``start_t``.
# - can we shorten the input search sequence by heuristic?
# up_to_arith_start = index[:read_i_start]
if (
new_read_i_start <= read_i_start
):
# t_diff = t_iv_start - start_t
# print(
# f"WE'RE CUTTING OUT TIME - STEP:{step}\n"
# f'start_t:{start_t} -> 0index start_t:{t_iv_start}\n'
# f'diff: {t_diff}\n'
# f'REMAPPED START i: {read_i_start} -> {new_read_i_start}\n'
# )
read_i_start = new_read_i_start - 1
t_iv_stop = times[read_i_stop - 1]
if (
t_iv_stop > i_stop_t
):
# t_diff = stop_t - t_iv_stop
# print(
# f"WE'RE CUTTING OUT TIME - STEP:{step}\n"
# f'calced iv stop:{t_iv_stop} -> stop_t:{stop_t}\n'
# f'diff: {t_diff}\n'
# # f'SHOULD REMAP STOP: {read_i_start} -> {new_read_i_start}\n'
# )
new_read_i_stop = np.searchsorted(
times[read_i_start:],
# times,
i_stop_t,
side='left',
)
if (
new_read_i_stop <= read_i_stop
):
read_i_stop = read_i_start + new_read_i_stop + 1
# sanity checks for range size
# samples = (i_stop_t - i_start_t) // step
# index_diff = read_i_stop - read_i_start + 1
# if index_diff > (samples + 3):
# breakpoint()
# read-relative indexes: gives a slice where `shm.array[read_slc]`
# will be the data spanning the input time range `start_t` ->
# `stop_t`
read_slc = slice(
int(read_i_start),
int(read_i_stop),
)
profiler(
'slicing complete'
# f'{start_t} -> {abs_slc.start} | {read_slc.start}\n'
# f'{stop_t} -> {abs_slc.stop} | {read_slc.stop}\n'
)
# NOTE: if caller needs absolute buffer indices they can
# slice the buffer abs index like so:
# index = arr['index']
# abs_indx = index[read_slc]
# abs_slc = slice(
# int(abs_indx[0]),
# int(abs_indx[-1]),
# )
return read_slc

View File

@ -20,96 +20,53 @@ financial data flows.
"""
from __future__ import annotations
from collections import (
Counter,
defaultdict,
)
from contextlib import asynccontextmanager as acm
from collections import Counter
import time
from typing import (
AsyncIterator,
TYPE_CHECKING,
)
from typing import TYPE_CHECKING, Optional, Union
import tractor
from tractor.trionics import (
maybe_open_nursery,
)
import trio
from trio_typing import TaskStatus
from ..log import (
get_logger,
get_console_log,
)
from ..service import maybe_spawn_daemon
from ..log import get_logger
if TYPE_CHECKING:
from ._sharedmem import (
ShmArray,
)
from ._sharedmem import ShmArray
from .feed import _FeedsBus
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
class Sampler:
class sampler:
'''
Global sampling engine registry.
Manages state for sampling events, shm incrementing and
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
``.service.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
# angering the "i hate module scoped variables crowd" (yawn).
ohlcv_shms: dict[float, list[ShmArray]] = {}
ohlcv_shms: dict[int, list[ShmArray]] = {}
# holds one-task-per-sample-period tasks which are spawned as-needed by
# data feed requests with a given detected time step usually from
# history loading.
incr_task_cs: trio.CancelScope | None = None
incrementers: dict[int, trio.CancelScope] = {}
# holds all the ``tractor.Context`` remote subscriptions for
# a particular sample period increment event: all subscribers are
# notified on a step.
# subscribers: dict[int, list[tractor.MsgStream]] = {}
subscribers: defaultdict[
float,
list[
float,
set[tractor.MsgStream]
],
] = defaultdict(
lambda: [
round(time.time()),
set(),
]
)
subscribers: dict[int, tractor.Context] = {}
@classmethod
async def increment_ohlc_buffer(
self,
period_s: float,
async def increment_ohlc_buffer(
delay_s: int,
task_status: TaskStatus[trio.CancelScope] = trio.TASK_STATUS_IGNORED,
):
):
'''
Task which inserts new bars into the provide shared memory array
every ``period_s`` seconds.
every ``delay_s`` seconds.
This task fulfills 2 purposes:
- it takes the subscribed set of shm arrays and increments them
@ -121,143 +78,100 @@ class Sampler:
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
# 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
# tradable hours?
total_s: float = 0 # total seconds counted
ad = period_s - 0.001 # compensate for trio processing time
# adjust delay to compensate for trio processing time
ad = min(sampler.ohlcv_shms.keys()) - 0.001
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:
# register this time period step as active
sampler.incrementers[delay_s] = 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:
# TODO: do we want to support dynamically
# adding a "lower" lowest increment period?
await trio.sleep(ad)
total_s += period_s
total_s += lowest
# increment all subscribed shm arrays
# TODO:
# - this in ``numba``
# - just lookup shms for this step instead of iterating?
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
# rate consuming shm buffers.
if total_s % shm_period_s != 0:
# print(f'skipping `{shm_period_s}s` sample update')
for delay_s, shms in sampler.ohlcv_shms.items():
if total_s % delay_s != 0:
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!
for shm in shms:
# print(f'UPDATE {shm_period_s}s STEP for {shm.token}')
# 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()``?
# append new entry to buffer thus "incrementing"
# the bar
# append new entry to buffer thus "incrementing" the bar
array = shm.array
last = array[-1:][shm._write_fields].copy()
# (index, t, close) = last[0][['index', 'time', 'close']]
(t, close) = last[0][['time', 'close']]
# guard against startup backfilling races where
# the buffer has not yet been filled.
if not last.size:
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()``?
# this copies non-std fields (eg. vwap) from the last datum
last[
['time', 'volume', 'open', 'high', 'low', 'close']
][0] = (t + delay_s, 0, close, close, close, close)
# write to the buffer
shm.push(last)
# 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,
)
await broadcast(delay_s, shm=lowest_shm)
@classmethod
async def broadcast(
self,
period_s: float,
time_stamp: float | None = None,
) -> None:
async def broadcast(
delay_s: int,
shm: Optional[ShmArray] = None,
) -> None:
'''
Broadcast the period size and last index step value to all
Broadcast the given ``shm: ShmArray``'s buffer index step to any
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.
'''
pair = self.subscribers[period_s]
subs = sampler.subscribers.get(delay_s, ())
last_ts, subs = pair
first = last = -1
if shm is None:
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:
try:
await stream.send({
'index': time_stamp or last_ts,
'period': period_s,
'first': first,
'last': last,
'index': last,
})
except (
trio.BrokenResourceError,
@ -266,9 +180,6 @@ class Sampler:
log.error(
f'{stream._ctx.chan.uid} dropped connection'
)
borked.add(stream)
for stream in borked:
try:
subs.remove(stream)
except ValueError:
@ -276,255 +187,53 @@ class Sampler:
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
async def register_with_sampler(
async def iter_ohlc_periods(
ctx: tractor.Context,
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?
delay_s: int,
) -> 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)
incr_was_started: bool = False
try:
async with maybe_open_nursery(
Sampler.service_nursery
) as service_nursery:
# init startup, create (actor-)local service nursery and start
# increment task
Sampler.service_nursery = service_nursery
# 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:
'''
# add our subscription
subs = sampler.subscribers.setdefault(delay_s, [])
await ctx.started()
async with ctx.open_stream() as stream:
if sub_for_broadcasts:
subs.add(stream)
subs.append(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.
try:
# stream and block until cancelled
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.service 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
try:
subs.remove(stream)
except ValueError:
log.error(
f'iOHLC step stream was already dropped {ctx.chan.uid}?'
)
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(
bus: _FeedsBus, # noqa
rt_shm: ShmArray,
hist_shm: ShmArray,
shm: ShmArray,
quote_stream: trio.abc.ReceiveChannel,
brokername: str,
sum_tick_vlm: bool = True,
) -> 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")
overruns = Counter()
# iterate stream delivered by broker
async for quotes in quote_stream:
# print(quotes)
# TODO: ``numba`` this!
for broker_symbol, quote in quotes.items():
# TODO: in theory you can send the IPC msg *before* writing
@ -548,9 +257,6 @@ async def sample_and_broadcast(
last = tick['price']
# more compact inline-way to do this assignment
# to both buffers?
for shm in [rt_shm, hist_shm]:
# update last entry
# benchmarked in the 4-5 us range
o, high, low, v = shm.array[-1][
@ -587,29 +293,29 @@ async def sample_and_broadcast(
volume,
)
# TODO: PUT THIS IN A ``_FeedsBus.broadcast()`` method!
# XXX: we need to be very cautious here that no
# context-channel is left lingering which doesn't have
# a far end receiver actor-task. In such a case you can
# end up triggering backpressure which which will
# eventually block this producer end of the feed and
# thus other consumers still attached.
sub_key: str = broker_symbol.lower()
subs: list[
tuple[
tractor.MsgStream | trio.MemorySendChannel,
float | None, # tick throttle in Hz
Union[tractor.MsgStream, trio.MemorySendChannel],
tractor.Context,
Optional[float], # tick throttle in Hz
]
] = bus.get_subs(sub_key)
] = bus._subscribers[broker_symbol.lower()]
# NOTE: by default the broker backend doesn't append
# it's own "name" into the fqsn schema (but maybe it
# should?) so we have to manually generate the correct
# key here.
fqsn = f'{broker_symbol}.{brokername}'
bsym = f'{broker_symbol}.{brokername}'
lags: int = 0
for (stream, tick_throttle) in subs.copy():
for (stream, ctx, tick_throttle) in subs:
try:
with trio.move_on_after(0.2) as cs:
if tick_throttle:
@ -617,39 +323,47 @@ async def sample_and_broadcast(
# pushes to the ``uniform_rate_send()`` below.
try:
stream.send_nowait(
(fqsn, quote)
(bsym, quote)
)
except trio.WouldBlock:
overruns[sub_key] += 1
ctx = stream._ctx
chan = ctx.chan
if ctx:
log.warning(
f'Feed OVERRUN {sub_key}'
'@{bus.brokername} -> \n'
f'feed @ {chan.uid}\n'
f'throttle = {tick_throttle} Hz'
f'Feed overrun {bus.brokername} ->'
f'{chan.uid} !!!'
)
if overruns[sub_key] > 6:
else:
key = id(stream)
overruns[key] += 1
log.warning(
f'Feed overrun {broker_symbol}'
'@{bus.brokername} -> '
f'feed @ {tick_throttle} Hz'
)
if overruns[key] > 6:
# TODO: should we check for the
# context being cancelled? this
# could happen but the
# channel-ipc-pipe is still up.
if (
not chan.connected()
or ctx._cancel_called
):
if not chan.connected():
log.warning(
'Dropping broken consumer:\n'
f'{sub_key}:'
f'{broker_symbol}:'
f'{ctx.cid}@{chan.uid}'
)
await stream.aclose()
raise trio.BrokenResourceError
else:
log.warning(
'Feed getting overrun bro!\n'
f'{broker_symbol}:'
f'{ctx.cid}@{chan.uid}'
)
continue
else:
await stream.send(
{fqsn: quote}
{bsym: quote}
)
if cs.cancelled_caught:
@ -662,7 +376,6 @@ async def sample_and_broadcast(
trio.ClosedResourceError,
trio.EndOfChannel,
):
ctx = stream._ctx
chan = ctx.chan
if ctx:
log.warning(
@ -678,69 +391,20 @@ async def sample_and_broadcast(
# so far seems like no since this should all
# be single-threaded. Doing it anyway though
# since there seems to be some kinda race..
bus.remove_subs(
sub_key,
{(stream, tick_throttle)},
try:
subs.remove((stream, tick_throttle))
except ValueError:
log.error(
f'Stream was already removed from subs!?\n'
f'{broker_symbol}:'
f'{ctx.cid}@{chan.uid}'
)
# 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:
# token bucket by njs:
# https://gist.github.com/njsmith/7ea44ec07e901cb78ebe1dd8dd846cb9
async def uniform_rate_send(
rate: float,
@ -751,9 +415,6 @@ async def uniform_rate_send(
) -> 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
left_to_sleep = throttle_period = 1/rate - 0.000616
@ -763,12 +424,6 @@ async def uniform_rate_send(
diff = 0
task_status.started()
ticks_by_type: defaultdict[
str,
list[dict],
] = defaultdict(list)
clear_types = _tick_groups['clears']
while True:
@ -787,17 +442,34 @@ async def uniform_rate_send(
if not first_quote:
first_quote = last_quote
# first_quote['tbt'] = ticks_by_type
if (throttle_period - diff) > 0:
# received a quote but the send cycle period hasn't yet
# expired we aren't supposed to send yet so append
# to the tick frame.
frame_ticks(
first_quote,
last_quote,
ticks_by_type,
)
# append quotes since last iteration into the last quote's
# tick array/buffer.
ticks = last_quote.get('ticks')
# 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
continue
@ -814,35 +486,12 @@ async def uniform_rate_send(
# received quote ASAP.
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.
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)
# log.info(
# 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
# rate timing exactly lul
@ -868,4 +517,3 @@ async def uniform_rate_send(
first_quote = last_quote = None
diff = 0
last_send = time.time()
ticks_by_type.clear()

View File

@ -1,5 +1,5 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# Copyright (C) Tyler Goodlet (in stewardship for piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
@ -27,14 +27,13 @@ from multiprocessing.shared_memory import SharedMemory, _USE_POSIX
if _USE_POSIX:
from _posixshmem import shm_unlink
# import msgspec
import numpy as np
from numpy.lib import recfunctions as rfn
import tractor
import numpy as np
from pydantic import BaseModel
from numpy.lib import recfunctions as rfn
from ..log import get_logger
from ._source import base_iohlc_dtype
from .types import Struct
log = get_logger(__name__)
@ -50,11 +49,7 @@ _rt_buffer_start = int((_days_worth - 1) * _secs_in_day)
def cuckoff_mantracker():
'''
Disable all ``multiprocessing``` "resource tracking" machinery since
it's an absolute multi-threaded mess of non-SC madness.
'''
from multiprocessing import resource_tracker as mantracker
# Tell the "resource tracker" thing to fuck off.
@ -112,39 +107,36 @@ class SharedInt:
log.warning(f'Shm for {name} already unlinked?')
class _Token(Struct, frozen=True):
class _Token(BaseModel):
'''
Internal represenation of a shared memory "token"
which can be used to key a system wide post shm entry.
'''
class Config:
frozen = True
shm_name: str # this servers as a "key" value
shm_first_index_name: str
shm_last_index_name: str
dtype_descr: tuple
size: int # in struct-array index / row terms
@property
def dtype(self) -> np.dtype:
return np.dtype(list(map(tuple, self.dtype_descr))).descr
def as_msg(self):
return self.to_dict()
return self.dict()
@classmethod
def from_msg(cls, msg: dict) -> _Token:
if isinstance(msg, _Token):
return msg
# TODO: native struct decoding
# return _token_dec.decode(msg)
msg['dtype_descr'] = tuple(map(tuple, msg['dtype_descr']))
return _Token(**msg)
# _token_dec = msgspec.msgpack.Decoder(_Token)
# TODO: this api?
# _known_tokens = tractor.ActorVar('_shm_tokens', {})
# _known_tokens = tractor.ContextStack('_known_tokens', )
@ -163,7 +155,6 @@ def get_shm_token(key: str) -> _Token:
def _make_token(
key: str,
size: int,
dtype: Optional[np.dtype] = None,
) -> _Token:
'''
@ -176,8 +167,7 @@ def _make_token(
shm_name=key,
shm_first_index_name=key + "_first",
shm_last_index_name=key + "_last",
dtype_descr=tuple(np.dtype(dtype).descr),
size=size,
dtype_descr=np.dtype(dtype).descr
)
@ -229,7 +219,6 @@ class ShmArray:
shm_first_index_name=self._first._shm.name,
shm_last_index_name=self._last._shm.name,
dtype_descr=tuple(self._array.dtype.descr),
size=self._len,
)
@property
@ -444,7 +433,7 @@ class ShmArray:
def open_shm_array(
key: Optional[str] = None,
size: int = _default_size, # see above
size: int = _default_size,
dtype: Optional[np.dtype] = None,
readonly: bool = False,
@ -475,8 +464,7 @@ def open_shm_array(
token = _make_token(
key=key,
size=size,
dtype=dtype,
dtype=dtype
)
# create single entry arrays for storing an first and last indices
@ -528,15 +516,15 @@ def open_shm_array(
# "unlink" created shm on process teardown by
# pushing teardown calls onto actor context stack
stack = tractor.current_actor().lifetime_stack
stack.callback(shmarr.close)
stack.callback(shmarr.destroy)
tractor._actor._lifetime_stack.callback(shmarr.close)
tractor._actor._lifetime_stack.callback(shmarr.destroy)
return shmarr
def attach_shm_array(
token: tuple[str, str, tuple[str, str]],
size: int = _default_size,
readonly: bool = True,
) -> ShmArray:
@ -575,7 +563,7 @@ def attach_shm_array(
raise _err
shmarr = np.ndarray(
(token.size,),
(size,),
dtype=token.dtype,
buffer=shm.buf
)
@ -614,8 +602,8 @@ def attach_shm_array(
if key not in _known_tokens:
_known_tokens[key] = token
# "close" attached shm on actor teardown
tractor.current_actor().lifetime_stack.callback(sha.close)
# "close" attached shm on process teardown
tractor._actor._lifetime_stack.callback(sha.close)
return sha
@ -643,7 +631,6 @@ def maybe_open_shm_array(
use ``attach_shm_array``.
'''
size = kwargs.pop('size', _default_size)
try:
# see if we already know this key
token = _known_tokens[key]
@ -651,11 +638,7 @@ def maybe_open_shm_array(
except KeyError:
log.warning(f"Could not find {key} in shms cache")
if dtype:
token = _make_token(
key,
size=size,
dtype=dtype,
)
token = _make_token(key, dtype)
try:
return attach_shm_array(token=token, **kwargs), False
except FileNotFoundError:

View File

@ -18,16 +18,12 @@
numpy data source coversion helpers.
"""
from __future__ import annotations
from decimal import (
Decimal,
ROUND_HALF_EVEN,
)
from typing import Any
import decimal
from bidict import bidict
import numpy as np
from .types import Struct
from pydantic import BaseModel
# from numba import from_dtype
@ -80,14 +76,10 @@ def mk_fqsn(
def float_digits(
value: float,
) -> int:
'''
Return the number of precision digits read from a float value.
'''
if value == 0:
return 0
return int(-Decimal(str(value)).as_tuple().exponent)
return int(-decimal.Decimal(str(value)).as_tuple().exponent)
def ohlc_zeros(length: int) -> np.ndarray:
@ -134,57 +126,7 @@ def unpack_fqsn(fqsn: str) -> tuple[str, str, str]:
)
class MktPair(Struct, frozen=True):
src: str # source asset name being used to buy
src_type: str # source asset's financial type/classification name
# ^ specifies a "class" of financial instrument
# egs. stock, futer, option, bond etc.
dst: str # destination asset name being bought
dst_type: str # destination asset's financial type/classification name
price_tick: float # minimum price increment value increment
price_tick_digits: int # required decimal digits for above
size_tick: float # minimum size (aka vlm) increment value increment
size_tick_digits: int # required decimal digits for above
venue: str | None = None # market venue provider name
expiry: str | None = None # for derivs, expiry datetime parseable str
# for derivs, info describing contract, egs.
# strike price, call or put, swap type, exercise model, etc.
contract_info: str | None = None
@classmethod
def from_msg(
self,
msg: dict[str, Any],
) -> MktPair:
'''
Constructor for a received msg-dict normally received over IPC.
'''
...
# fqa, fqma, .. etc. see issue:
# https://github.com/pikers/piker/issues/467
@property
def fqsn(self) -> str:
'''
Return the fully qualified market (endpoint) name for the
pair of transacting assets.
'''
...
# TODO: rework the below `Symbol` (which was originally inspired and
# derived from stuff in quantdom) into a simpler, ipc msg ready, market
# endpoint meta-data container type as per the drafted interace above.
class Symbol(Struct):
class Symbol(BaseModel):
'''
I guess this is some kinda container thing for dealing with
all the different meta-data formats from brokers?
@ -198,6 +140,10 @@ class Symbol(Struct):
suffix: str = ''
broker_info: dict[str, dict[str, Any]] = {}
# specifies a "class" of financial instrument
# ex. stock, futer, option, bond etc.
# @validate_arguments
@classmethod
def from_broker_info(
cls,
@ -206,17 +152,19 @@ class Symbol(Struct):
info: dict[str, Any],
suffix: str = '',
) -> Symbol:
# XXX: like wtf..
# ) -> 'Symbol':
) -> None:
tick_size = info.get('price_tick_size', 0.01)
lot_size = info.get('lot_tick_size', 0.0)
lot_tick_size = info.get('lot_tick_size', 0.0)
return Symbol(
key=symbol,
tick_size=tick_size,
lot_tick_size=lot_size,
lot_tick_size=lot_tick_size,
tick_size_digits=float_digits(tick_size),
lot_size_digits=float_digits(lot_size),
lot_size_digits=float_digits(lot_tick_size),
suffix=suffix,
broker_info={broker: info},
)
@ -227,7 +175,9 @@ class Symbol(Struct):
fqsn: str,
info: dict[str, Any],
) -> Symbol:
# XXX: like wtf..
# ) -> 'Symbol':
) -> None:
broker, key, suffix = unpack_fqsn(fqsn)
return cls.from_broker_info(
broker,
@ -271,10 +221,6 @@ class Symbol(Struct):
else:
return (key, broker)
@property
def fqsn(self) -> str:
return '.'.join(self.tokens()).lower()
def front_fqsn(self) -> str:
'''
fqsn = "fully qualified symbol name"
@ -294,24 +240,18 @@ class Symbol(Struct):
'''
tokens = self.tokens()
fqsn = '.'.join(map(str.lower, tokens))
fqsn = '.'.join(tokens)
return fqsn
def quantize_size(
self,
size: float,
def iterfqsns(self) -> list[str]:
keys = []
for broker in self.broker_info.keys():
fqsn = mk_fqsn(self.key, broker)
if self.suffix:
fqsn += f'.{self.suffix}'
keys.append(fqsn)
) -> Decimal:
'''
Truncate input ``size: float`` using ``Decimal``
and ``.lot_size_digits``.
'''
digits = self.lot_size_digits
return Decimal(size).quantize(
Decimal(f'1.{"0".ljust(digits, "0")}'),
rounding=ROUND_HALF_EVEN
)
return keys
def _nan_to_closest_num(array: np.ndarray):

View File

@ -18,24 +18,13 @@
ToOlS fOr CoPInG wITh "tHE wEB" protocols.
"""
from contextlib import (
asynccontextmanager,
AsyncExitStack,
)
from itertools import count
from contextlib import asynccontextmanager, AsyncExitStack
from types import ModuleType
from typing import (
Any,
Optional,
Callable,
AsyncGenerator,
Iterable,
)
from typing import Any, Callable, AsyncGenerator
import json
import trio
import trio_websocket
from wsproto.utilities import LocalProtocolError
from trio_websocket._impl import (
ConnectionClosed,
DisconnectionTimeout,
@ -46,53 +35,43 @@ from trio_websocket._impl import (
from ..log import get_logger
from .types import Struct
log = get_logger(__name__)
class NoBsWs:
'''
Make ``trio_websocket`` sockets stay up no matter the bs.
"""Make ``trio_websocket`` sockets stay up no matter the bs.
You can provide a ``fixture`` async-context-manager which will be
enter/exitted around each reconnect operation.
'''
"""
recon_errors = (
ConnectionClosed,
DisconnectionTimeout,
ConnectionRejected,
HandshakeError,
ConnectionTimeout,
LocalProtocolError,
)
def __init__(
self,
url: str,
token: str,
stack: AsyncExitStack,
fixture: Optional[Callable] = None,
serializer: ModuleType = json
fixture: Callable,
serializer: ModuleType = json,
):
self.url = url
self.token = token
self.fixture = fixture
self._stack = stack
self._ws: 'WebSocketConnection' = None # noqa
# TODO: is there some method we can call
# on the underlying `._ws` to get this?
self._connected: bool = False
async def _connect(
self,
tries: int = 1000,
) -> None:
self._connected = False
while True:
try:
await self._stack.aclose()
except self.recon_errors:
except (DisconnectionTimeout, RuntimeError):
await trio.sleep(0.5)
else:
break
@ -103,18 +82,19 @@ class NoBsWs:
self._ws = await self._stack.enter_async_context(
trio_websocket.open_websocket_url(self.url)
)
if self.fixture is not None:
# rerun user code fixture
if self.token == '':
ret = await self._stack.enter_async_context(
self.fixture(self)
)
else:
ret = await self._stack.enter_async_context(
self.fixture(self, self.token)
)
assert ret is None
log.info(f'Connection success: {self.url}')
self._connected = True
return self._ws
except self.recon_errors as err:
@ -124,15 +104,11 @@ class NoBsWs:
f'{type(err)}...retry attempt {i}'
)
await trio.sleep(0.5)
self._connected = False
continue
else:
log.exception('ws connection fail...')
raise last_err
def connected(self) -> bool:
return self._connected
async def send_msg(
self,
data: Any,
@ -152,26 +128,21 @@ class NoBsWs:
except self.recon_errors:
await self._connect()
def __aiter__(self):
return self
async def __anext__(self):
return await self.recv_msg()
@asynccontextmanager
async def open_autorecon_ws(
url: str,
# TODO: proper type cannot smh
fixture: Optional[Callable] = None,
# TODO: proper type annot smh
fixture: Callable,
# used for authenticated websockets
token: str = '',
) -> AsyncGenerator[tuple[...], NoBsWs]:
"""Apparently we can QoS for all sorts of reasons..so catch em.
"""
async with AsyncExitStack() as stack:
ws = NoBsWs(url, stack, fixture=fixture)
ws = NoBsWs(url, token, stack, fixture=fixture)
await ws._connect()
try:
@ -179,114 +150,3 @@ async def open_autorecon_ws(
finally:
await stack.aclose()
'''
JSONRPC response-request style machinery for transparent multiplexing of msgs
over a NoBsWs.
'''
class JSONRPCResult(Struct):
id: int
jsonrpc: str = '2.0'
result: Optional[dict] = None
error: Optional[dict] = None
@asynccontextmanager
async def open_jsonrpc_session(
url: str,
start_id: int = 0,
response_type: type = JSONRPCResult,
request_type: Optional[type] = None,
request_hook: Optional[Callable] = None,
error_hook: Optional[Callable] = None,
) -> Callable[[str, dict], dict]:
async with (
trio.open_nursery() as n,
open_autorecon_ws(url) as ws
):
rpc_id: Iterable = count(start_id)
rpc_results: dict[int, dict] = {}
async def json_rpc(method: str, params: dict) -> dict:
'''
perform a json rpc call and wait for the result, raise exception in
case of error field present on response
'''
msg = {
'jsonrpc': '2.0',
'id': next(rpc_id),
'method': method,
'params': params
}
_id = msg['id']
rpc_results[_id] = {
'result': None,
'event': trio.Event()
}
await ws.send_msg(msg)
await rpc_results[_id]['event'].wait()
ret = rpc_results[_id]['result']
del rpc_results[_id]
if ret.error is not None:
raise Exception(json.dumps(ret.error, indent=4))
return ret
async def recv_task():
'''
receives every ws message and stores it in its corresponding
result field, then sets the event to wakeup original sender
tasks. also recieves responses to requests originated from
the server side.
'''
async for msg in ws:
match msg:
case {
'result': _,
'id': mid,
} if res_entry := rpc_results.get(mid):
res_entry['result'] = response_type(**msg)
res_entry['event'].set()
case {
'result': _,
'id': mid,
} if not rpc_results.get(mid):
log.warning(
f'Unexpected ws msg: {json.dumps(msg, indent=4)}'
)
case {
'method': _,
'params': _,
}:
log.debug(f'Recieved\n{msg}')
if request_hook:
await request_hook(request_type(**msg))
case {
'error': error
}:
log.warning(f'Recieved\n{error}')
if error_hook:
await error_hook(response_type(**msg))
case _:
log.warning(f'Unhandled JSON-RPC msg!?\n{msg}')
n.start_soon(recv_task)
yield json_rpc
n.cancel_scope.cancel()

View File

@ -18,22 +18,31 @@
marketstore cli.
"""
from functools import partial
from pprint import pformat
from anyio_marketstore import open_marketstore_client
import trio
import tractor
import click
import numpy as np
from ..service.marketstore import (
# get_client,
from .marketstore import (
get_client,
# stream_quotes,
ingest_quote_stream,
# _url,
# _tick_tbk_ids,
# mk_tbk,
_tick_tbk_ids,
mk_tbk,
)
from ..cli import cli
from .. import watchlists as wl
from ..log import (
get_logger,
from ..log import get_logger
from ._sharedmem import (
maybe_open_shm_array,
)
from ._source import (
base_iohlc_dtype,
)
@ -104,11 +113,15 @@ def ms_stream(
@cli.command()
@click.option(
'--tsdb_host',
'--tl',
is_flag=True,
help='Enable tractor logging')
@click.option(
'--host',
default='localhost'
)
@click.option(
'--tsdb_port',
'--port',
default=5993
)
@click.argument('symbols', nargs=-1)
@ -124,93 +137,18 @@ def storesh(
Start an IPython shell ready to query the local marketstore db.
'''
from piker.data.marketstore import open_tsdb_client
from piker.service import open_piker_runtime
from piker.data.marketstore import tsdb_history_update
from piker._daemon import open_piker_runtime
async def main():
nonlocal symbols
async with open_piker_runtime(
'storesh',
enable_modules=['piker.service._ahab'],
enable_modules=['piker.data._ahab'],
):
symbol = symbols[0]
async with open_tsdb_client(symbol):
# TODO: ask if user wants to write history for detected
# available shm buffers?
from tractor.trionics import ipython_embed
await ipython_embed()
trio.run(main)
@cli.command()
@click.option(
'--host',
default='localhost'
)
@click.option(
'--port',
default=5993
)
@click.option(
'--delete',
'-d',
is_flag=True,
help='Delete history (1 Min) for symbol(s)',
)
@click.argument('symbols', nargs=-1)
@click.pass_obj
def storage(
config,
host,
port,
symbols: list[str],
delete: bool,
):
'''
Start an IPython shell ready to query the local marketstore db.
'''
from piker.service.marketstore import open_tsdb_client
from piker.service import open_piker_runtime
async def main():
nonlocal symbols
async with open_piker_runtime(
'tsdb_storage',
enable_modules=['piker.service._ahab'],
):
symbol = symbols[0]
async with open_tsdb_client(symbol) as storage:
if delete:
for fqsn in symbols:
syms = await storage.client.list_symbols()
resp60s = await storage.delete_ts(fqsn, 60)
msgish = resp60s.ListFields()[0][1]
if 'error' in str(msgish):
# TODO: MEGA LOL, apparently the symbols don't
# flush out until you refresh something or other
# (maybe the WALFILE)... #lelandorlulzone, classic
# alpaca(Rtm) design here ..
# well, if we ever can make this work we
# probably want to dogsplain the real reason
# for the delete errurz..llululu
if fqsn not in syms:
log.error(f'Pair {fqsn} dne in DB')
log.error(f'Deletion error: {fqsn}\n{msgish}')
resp1s = await storage.delete_ts(fqsn, 1)
msgish = resp1s.ListFields()[0][1]
if 'error' in str(msgish):
log.error(f'Deletion error: {fqsn}\n{msgish}')
await tsdb_history_update(symbol)
trio.run(main)

File diff suppressed because it is too large Load Diff

View File

@ -1,210 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
abstractions for organizing, managing and generally operating-on
real-time data processing data-structures.
"Streams, flumes, cascades and flows.."
"""
from __future__ import annotations
from typing import (
TYPE_CHECKING,
)
import tractor
import pendulum
import numpy as np
from .types import Struct
from ._source import (
Symbol,
)
from ._sharedmem import (
attach_shm_array,
ShmArray,
_Token,
)
# from .._profile import (
# Profiler,
# pg_profile_enabled,
# )
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()
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,
array: np.ndarray,
) -> int | float:
'''
Return array shm-buffer index for for epoch time.
'''
times = array['time']
first = np.searchsorted(
times,
time_s,
side='left',
)
imx = times.shape[0] - 1
return min(first, imx)

View File

@ -1,5 +1,5 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# Copyright (C) Tyler Goodlet (in stewardship for piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
@ -25,49 +25,47 @@
'''
from __future__ import annotations
from contextlib import asynccontextmanager as acm
from datetime import datetime
from pprint import pformat
from typing import (
Any,
Optional,
Union,
TYPE_CHECKING,
)
import time
from math import isnan
from pathlib import Path
from bidict import bidict
from msgspec.msgpack import (
encode,
decode,
)
# import pyqtgraph as pg
import msgpack
import pyqtgraph as pg
import numpy as np
import tractor
from trio_websocket import open_websocket_url
from anyio_marketstore import ( # noqa
from anyio_marketstore import (
open_marketstore_client,
MarketstoreClient,
Params,
)
import pendulum
# TODO: import this for specific error set expected by mkts client
# import purerpc
from ..data.feed import maybe_open_feed
from ..log import get_logger, get_console_log
import purerpc
if TYPE_CHECKING:
import docker
from ._ahab import DockerContainer
from .feed import maybe_open_feed
from ..log import get_logger, get_console_log
log = get_logger(__name__)
# ahabd-supervisor and container level config
# container level config
_config = {
'grpc_listen_port': 5995,
'ws_listen_port': 5993,
'log_level': 'debug',
'startup_timeout': 2,
}
_yaml_config = '''
@ -133,10 +131,7 @@ def start_marketstore(
mktsdir = os.path.join(config._config_dir, 'marketstore')
# create dirs when dne
if not os.path.isdir(config._config_dir):
Path(config._config_dir).mkdir(parents=True, exist_ok=True)
# create when dne
if not os.path.isdir(mktsdir):
os.mkdir(mktsdir)
@ -185,29 +180,18 @@ def start_marketstore(
config_dir_mnt,
data_dir_mnt,
],
# XXX: this must be set to allow backgrounding/non-blocking
# usage interaction with the container's process.
detach=True,
# stop_signal='SIGINT',
init=True,
# remove=True,
)
async def start_matcher(msg: str):
return "launching tcp listener for all services..." in msg
async def stop_matcher(msg: str):
return "exiting..." in msg
return (
dcntr,
_config,
# expected startup and stop msgs
start_matcher,
stop_matcher,
"launching tcp listener for all services...",
"exiting...",
)
@ -328,7 +312,7 @@ def quote_to_marketstore_structarray(
@acm
async def get_client(
host: str = 'localhost',
port: int = _config['grpc_listen_port'],
port: int = 5995
) -> MarketstoreClient:
'''
@ -370,6 +354,340 @@ tf_in_1s = bidict({
})
class Storage:
'''
High level storage api for both real-time and historical ingest.
'''
def __init__(
self,
client: MarketstoreClient,
) -> None:
# TODO: eventually this should be an api/interface type that
# ensures we can support multiple tsdb backends.
self.client = client
# series' cache from tsdb reads
self._arrays: dict[str, np.ndarray] = {}
async def list_keys(self) -> list[str]:
return await self.client.list_symbols()
async def search_keys(self, pattern: str) -> list[str]:
'''
Search for time series key in the storage backend.
'''
...
async def write_ticks(self, ticks: list) -> None:
...
async def load(
self,
fqsn: str,
) -> tuple[
dict[int, np.ndarray], # timeframe (in secs) to series
Optional[datetime], # first dt
Optional[datetime], # last dt
]:
first_tsdb_dt, last_tsdb_dt = None, None
tsdb_arrays = await self.read_ohlcv(
fqsn,
# on first load we don't need to pull the max
# history per request size worth.
limit=3000,
)
log.info(f'Loaded tsdb history {tsdb_arrays}')
if tsdb_arrays:
fastest = list(tsdb_arrays.values())[0]
times = fastest['Epoch']
first, last = times[0], times[-1]
first_tsdb_dt, last_tsdb_dt = map(
pendulum.from_timestamp, [first, last]
)
return tsdb_arrays, first_tsdb_dt, last_tsdb_dt
async def read_ohlcv(
self,
fqsn: str,
timeframe: Optional[Union[int, str]] = None,
end: Optional[int] = None,
limit: int = int(800e3),
) -> tuple[
MarketstoreClient,
Union[dict, np.ndarray]
]:
client = self.client
syms = await client.list_symbols()
if fqsn not in syms:
return {}
tfstr = tf_in_1s[1]
params = Params(
symbols=fqsn,
timeframe=tfstr,
attrgroup='OHLCV',
end=end,
# limit_from_start=True,
# TODO: figure the max limit here given the
# ``purepc`` msg size limit of purerpc: 33554432
limit=limit,
)
if timeframe is None:
log.info(f'starting {fqsn} tsdb granularity scan..')
# loop through and try to find highest granularity
for tfstr in tf_in_1s.values():
try:
log.info(f'querying for {tfstr}@{fqsn}')
params.set('timeframe', tfstr)
result = await client.query(params)
break
except purerpc.grpclib.exceptions.UnknownError:
# XXX: this is already logged by the container and
# thus shows up through `marketstored` logs relay.
# log.warning(f'{tfstr}@{fqsn} not found')
continue
else:
return {}
else:
result = await client.query(params)
# TODO: it turns out column access on recarrays is actually slower:
# https://jakevdp.github.io/PythonDataScienceHandbook/02.09-structured-data-numpy.html#RecordArrays:-Structured-Arrays-with-a-Twist
# it might make sense to make these structured arrays?
# Fill out a `numpy` array-results map
arrays = {}
for fqsn, data_set in result.by_symbols().items():
arrays.setdefault(fqsn, {})[
tf_in_1s.inverse[data_set.timeframe]
] = data_set.array
return arrays[fqsn][timeframe] if timeframe else arrays[fqsn]
async def delete_ts(
self,
key: str,
timeframe: Optional[Union[int, str]] = None,
) -> bool:
client = self.client
syms = await client.list_symbols()
print(syms)
# if key not in syms:
# raise KeyError(f'`{fqsn}` table key not found?')
return await client.destroy(tbk=key)
async def write_ohlcv(
self,
fqsn: str,
ohlcv: np.ndarray,
append_and_duplicate: bool = True,
limit: int = int(800e3),
) -> None:
# build mkts schema compat array for writing
mkts_dt = np.dtype(_ohlcv_dt)
mkts_array = np.zeros(
len(ohlcv),
dtype=mkts_dt,
)
# copy from shm array (yes it's this easy):
# https://numpy.org/doc/stable/user/basics.rec.html#assignment-from-other-structured-arrays
mkts_array[:] = ohlcv[[
'time',
'open',
'high',
'low',
'close',
'volume',
]]
m, r = divmod(len(mkts_array), limit)
for i in range(m, 1):
to_push = mkts_array[i-1:i*limit]
# write to db
resp = await self.client.write(
to_push,
tbk=f'{fqsn}/1Sec/OHLCV',
# NOTE: will will append duplicates
# for the same timestamp-index.
# TODO: pre deduplicate?
isvariablelength=append_and_duplicate,
)
log.info(
f'Wrote {mkts_array.size} datums to tsdb\n'
)
for resp in resp.responses:
err = resp.error
if err:
raise MarketStoreError(err)
if r:
to_push = mkts_array[m*limit:]
# write to db
resp = await self.client.write(
to_push,
tbk=f'{fqsn}/1Sec/OHLCV',
# NOTE: will will append duplicates
# for the same timestamp-index.
# TODO: pre deduplicate?
isvariablelength=append_and_duplicate,
)
log.info(
f'Wrote {mkts_array.size} datums to tsdb\n'
)
for resp in resp.responses:
err = resp.error
if err:
raise MarketStoreError(err)
# XXX: currently the only way to do this is through the CLI:
# sudo ./marketstore connect --dir ~/.config/piker/data
# >> \show mnq.globex.20220617.ib/1Sec/OHLCV 2022-05-15
# and this seems to block and use up mem..
# >> \trim mnq.globex.20220617.ib/1Sec/OHLCV 2022-05-15
# relevant source code for this is here:
# https://github.com/alpacahq/marketstore/blob/master/cmd/connect/session/trim.go#L14
# def delete_range(self, start_dt, end_dt) -> None:
# ...
@acm
async def open_storage_client(
fqsn: str,
period: Optional[Union[int, str]] = None, # in seconds
) -> tuple[Storage, dict[str, np.ndarray]]:
'''
Load a series by key and deliver in ``numpy`` struct array format.
'''
async with (
# eventually a storage backend endpoint
get_client() as client,
):
# slap on our wrapper api
yield Storage(client)
async def tsdb_history_update(
fqsn: Optional[str] = None,
) -> list[str]:
# TODO: real-time dedicated task for ensuring
# history consistency between the tsdb, shm and real-time feed..
# update sequence design notes:
# - load existing highest frequency data from mkts
# * how do we want to offer this to the UI?
# - lazy loading?
# - try to load it all and expect graphics caching/diffing
# to hide extra bits that aren't in view?
# - compute the diff between latest data from broker and shm
# * use sql api in mkts to determine where the backend should
# start querying for data?
# * append any diff with new shm length
# * determine missing (gapped) history by scanning
# * how far back do we look?
# - begin rt update ingest and aggregation
# * could start by always writing ticks to mkts instead of
# worrying about a shm queue for now.
# * we have a short list of shm queues worth groking:
# - https://github.com/pikers/piker/issues/107
# * the original data feed arch blurb:
# - https://github.com/pikers/piker/issues/98
#
profiler = pg.debug.Profiler(
disabled=False, # not pg_profile_enabled(),
delayed=False,
)
async with (
open_storage_client(fqsn) as storage,
maybe_open_feed(
[fqsn],
start_stream=False,
) as (feed, stream),
):
profiler(f'opened feed for {fqsn}')
to_append = feed.shm.array
to_prepend = None
if fqsn:
symbol = feed.symbols.get(fqsn)
if symbol:
fqsn = symbol.front_fqsn()
# diff db history with shm and only write the missing portions
ohlcv = feed.shm.array
# TODO: use pg profiler
tsdb_arrays = await storage.read_ohlcv(fqsn)
# hist diffing
if tsdb_arrays:
for secs in (1, 60):
ts = tsdb_arrays.get(secs)
if ts is not None and len(ts):
# these aren't currently used but can be referenced from
# within the embedded ipython shell below.
to_append = ohlcv[ohlcv['time'] > ts['Epoch'][-1]]
to_prepend = ohlcv[ohlcv['time'] < ts['Epoch'][0]]
profiler('Finished db arrays diffs')
syms = await storage.client.list_symbols()
log.info(f'Existing tsdb symbol set:\n{pformat(syms)}')
profiler(f'listed symbols {syms}')
# TODO: ask if user wants to write history for detected
# available shm buffers?
from tractor.trionics import ipython_embed
await ipython_embed()
# for array in [to_append, to_prepend]:
# if array is None:
# continue
# log.info(
# f'Writing datums {array.size} -> to tsdb from shm\n'
# )
# await storage.write_ohlcv(fqsn, array)
# profiler('Finished db writes')
async def ingest_quote_stream(
symbols: list[str],
brokername: str,
@ -456,13 +774,12 @@ async def stream_quotes(
async with open_websocket_url(f'ws://{host}:{port}/ws') as ws:
# send subs topics to server
resp = await ws.send_message(
encode({'streams': list(tbks.values())})
msgpack.dumps({'streams': list(tbks.values())})
)
log.info(resp)
async def recv() -> dict[str, Any]:
return decode((await ws.get_message()), encoding='utf-8')
return msgpack.loads((await ws.get_message()), encoding='utf-8')
streams = (await recv())['streams']
log.info(f"Subscribed to {streams}")

View File

@ -1,88 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Guillermo Rodriguez (in stewardship for piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Built-in (extension) types.
"""
import sys
from typing import Optional
from pprint import pformat
import msgspec
class Struct(
msgspec.Struct,
# https://jcristharif.com/msgspec/structs.html#tagged-unions
# tag='pikerstruct',
# tag=True,
):
'''
A "human friendlier" (aka repl buddy) struct subtype.
'''
def to_dict(self) -> dict:
return {
f: getattr(self, f)
for f in self.__struct_fields__
}
# Lul, doesn't seem to work that well..
# def __repr__(self):
# # only turn on pprint when we detect a python REPL
# # at runtime B)
# if (
# hasattr(sys, 'ps1')
# # TODO: check if we're in pdb
# ):
# return self.pformat()
# return super().__repr__()
def pformat(self) -> str:
return f'Struct({pformat(self.to_dict())})'
def copy(
self,
update: Optional[dict] = None,
) -> msgspec.Struct:
'''
Validate-typecast all self defined fields, return a copy of us
with all such fields.
This is kinda like the default behaviour in `pydantic.BaseModel`.
'''
if update:
for k, v in update.items():
setattr(self, k, v)
# roundtrip serialize to validate
return msgspec.msgpack.Decoder(
type=type(self)
).decode(
msgspec.msgpack.Encoder().encode(self)
)
def typecast(
self,
# fields: Optional[list[str]] = None,
) -> None:
for fname, ftype in self.__annotations__.items():
setattr(self, fname, ftype(getattr(self, fname)))

View File

@ -78,8 +78,7 @@ class Fsp:
# + the consuming fsp *to* the consumers output
# shm flow.
_flow_registry: dict[
tuple[_Token, str],
tuple[_Token, Optional[ShmArray]],
tuple[_Token, str], _Token,
] = {}
def __init__(
@ -121,6 +120,7 @@ class Fsp:
):
return self.func(*args, **kwargs)
# TODO: lru_cache this? prettty sure it'll work?
def get_shm(
self,
src_shm: ShmArray,
@ -131,27 +131,12 @@ class Fsp:
for this "instance" of a signal processor for
the given ``key``.
The destination shm "token" and array are cached if possible to
minimize multiple stdlib/system calls.
'''
dst_token, maybe_array = self._flow_registry[
dst_token = self._flow_registry[
(src_shm._token, self.name)
]
if maybe_array is None:
self._flow_registry[
(src_shm._token, self.name)
] = (
dst_token,
# "cache" the ``ShmArray`` such that
# we call the underlying "attach" code as few
# times as possible as per:
# - https://github.com/pikers/piker/issues/359
# - https://github.com/pikers/piker/issues/332
maybe_array := attach_shm_array(dst_token)
)
return maybe_array
shm = attach_shm_array(dst_token)
return shm
def fsp(
@ -199,10 +184,7 @@ def maybe_mk_fsp_shm(
# TODO: load output types from `Fsp`
# - should `index` be a required internal field?
fsp_dtype = np.dtype(
[('index', int)]
+
[('time', float)]
+
[('index', int)] +
[(field_name, float) for field_name in target.outputs]
)

View File

@ -21,13 +21,12 @@ core task logic for processing chains
from dataclasses import dataclass
from functools import partial
from typing import (
AsyncIterator,
Callable,
Optional,
AsyncIterator, Callable, Optional,
Union,
)
import numpy as np
import pyqtgraph as pg
import trio
from trio_typing import TaskStatus
import tractor
@ -36,22 +35,14 @@ from tractor.msg import NamespacePath
from ..log import get_logger, get_console_log
from .. import data
from ..data import attach_shm_array
from ..data.feed import (
Flume,
Feed,
)
from ..data.feed import Feed
from ..data._sharedmem import ShmArray
from ..data._sampling import (
_default_delay_s,
open_sample_stream,
)
from ..data._source import Symbol
from ._api import (
Fsp,
_load_builtins,
_Token,
)
from .._profile import Profiler
log = get_logger(__name__)
@ -86,7 +77,7 @@ async def filter_quotes_by_sym(
async def fsp_compute(
symbol: Symbol,
flume: Flume,
feed: Feed,
quote_stream: trio.abc.ReceiveChannel,
src: ShmArray,
@ -99,7 +90,7 @@ async def fsp_compute(
) -> None:
profiler = Profiler(
profiler = pg.debug.Profiler(
delayed=False,
disabled=True
)
@ -114,17 +105,16 @@ async def fsp_compute(
filter_quotes_by_sym(fqsn, quote_stream),
# XXX: currently the ``ohlcv`` arg
flume.rt_shm,
feed.shm,
)
# HISTORY COMPUTE PHASE
# conduct a single iteration of fsp with historical bars input
# and get historical output.
# Conduct a single iteration of fsp with historical bars input
# and get historical output
history_output: Union[
dict[str, np.ndarray], # multi-output case
np.ndarray, # single output case
]
history_output = await anext(out_stream)
history_output = await out_stream.__anext__()
func_name = func.__name__
profiler(f'{func_name} generated history')
@ -136,13 +126,9 @@ async def fsp_compute(
# each respective field.
fields = getattr(dst.array.dtype, 'fields', None).copy()
fields.pop('index')
history_by_field: Optional[np.ndarray] = None
src_time = src.array['time']
history: Optional[np.ndarray] = None # TODO: nptyping here!
if (
fields and
len(fields) > 1
):
if fields and len(fields) > 1 and fields:
if not isinstance(history_output, dict):
raise ValueError(
f'`{func_name}` is a multi-output FSP and should yield a '
@ -153,7 +139,7 @@ async def fsp_compute(
if key in history_output:
output = history_output[key]
if history_by_field is None:
if history is None:
if output is None:
length = len(src.array)
@ -163,7 +149,7 @@ async def fsp_compute(
# using the first output, determine
# the length of the struct-array that
# will be pushed to shm.
history_by_field = np.zeros(
history = np.zeros(
length,
dtype=dst.array.dtype
)
@ -171,7 +157,7 @@ async def fsp_compute(
if output is None:
continue
history_by_field[key] = output
history[key] = output
# single-key output stream
else:
@ -180,15 +166,11 @@ async def fsp_compute(
f'`{func_name}` is a single output FSP and should yield an '
'`np.ndarray` for history'
)
history_by_field = np.zeros(
history = np.zeros(
len(history_output),
dtype=dst.array.dtype
)
history_by_field[func_name] = history_output
history_by_field['time'] = src_time[-len(history_by_field):]
history_output['time'] = src.array['time']
history[func_name] = history_output
# TODO: XXX:
# THERE'S A BIG BUG HERE WITH THE `index` field since we're
@ -205,10 +187,7 @@ async def fsp_compute(
# TODO: can we use this `start` flag instead of the manual
# setting above?
index = dst.push(
history_by_field,
start=first,
)
index = dst.push(history, start=first)
profiler(f'{func_name} pushed history')
profiler.finish()
@ -234,14 +213,8 @@ async def fsp_compute(
log.debug(f"{func_name}: {processed}")
key, output = processed
# 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']
)
index = src.index
dst.array[-1][key] = output
# NOTE: for now we aren't streaming this to the consumer
# stream latest array index entry which basically just acts
@ -252,7 +225,6 @@ async def fsp_compute(
# N-consumers who subscribe for the real-time output,
# which we'll likely want to implement using local-mem
# chans for the fan out?
# index = src.index
# if attach_stream:
# await client_stream.send(index)
@ -289,7 +261,7 @@ async def cascade(
destination shm array buffer.
'''
profiler = Profiler(
profiler = pg.debug.Profiler(
delayed=False,
disabled=False
)
@ -312,10 +284,9 @@ async def cascade(
# TODO: ugh i hate this wind/unwind to list over the wire
# but not sure how else to do it.
for (token, fsp_name, dst_token) in shm_registry:
Fsp._flow_registry[(
_Token.from_msg(token),
fsp_name,
)] = _Token.from_msg(dst_token), None
Fsp._flow_registry[
(_Token.from_msg(token), fsp_name)
] = _Token.from_msg(dst_token)
fsp: Fsp = reg.get(
NamespacePath(ns_path)
@ -327,7 +298,6 @@ async def cascade(
raise ValueError(f'Unknown fsp target: {ns_path}')
# open a data feed stream with requested broker
feed: Feed
async with data.feed.maybe_open_feed(
[fqsn],
@ -337,13 +307,14 @@ async def cascade(
# needs to get throttled the ticks we generate.
# tick_throttle=60,
) as feed:
) as (feed, quote_stream):
symbol = feed.symbols[fqsn]
flume = feed.flumes[fqsn]
symbol = flume.symbol
assert src.token == flume.rt_shm.token
profiler(f'{func}: feed up')
assert src.token == feed.shm.token
# last_len = new_len = len(src.array)
func_name = func.__name__
async with (
trio.open_nursery() as n,
@ -353,8 +324,8 @@ async def cascade(
fsp_compute,
symbol=symbol,
flume=flume,
quote_stream=flume.stream,
feed=feed,
quote_stream=quote_stream,
# shm
src=src,
@ -390,7 +361,7 @@ async def cascade(
) -> tuple[TaskTracker, int]:
# TODO: adopt an incremental update engine/approach
# where possible here eventually!
log.info(f're-syncing fsp {func_name} to source')
log.debug(f're-syncing fsp {func_name} to source')
tracker.cs.cancel()
await tracker.complete.wait()
tracker, index = await n.start(fsp_target)
@ -403,16 +374,14 @@ async def cascade(
'key': dst_shm_token,
'first': dst._first.value,
'last': dst._last.value,
}
})
}})
return tracker, index
def is_synced(
src: ShmArray,
dst: ShmArray
) -> 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.
'''
@ -421,15 +390,16 @@ async def cascade(
return not (
# the source is likely backfilling and we must
# sync history calculations
len_diff > 2
len_diff > 2 or
# we aren't step synced to the source and may be
# leading/lagging by a step
or step_diff > 1
or step_diff < 0
step_diff > 1 or
step_diff < 0
), step_diff, len_diff
async def poll_and_sync_to_step(
tracker: TaskTracker,
src: ShmArray,
dst: ShmArray,
@ -448,23 +418,18 @@ async def cascade(
# detect sample period step for subscription to increment
# signal
times = src.array['time']
if len(times) > 1:
last_ts = times[-1]
delay_s = float(last_ts - times[times != last_ts][-1])
else:
# our default "HFT" sample rate.
delay_s = _default_delay_s
delay_s = times[-1] - times[times != times[-1]][-1]
# sub and increment the underlying shared memory buffer
# on every step msg received from the global `samplerd`
# service.
async with open_sample_stream(float(delay_s)) as istream:
# Increment the underlying shared memory buffer on every
# "increment" msg received from the underlying data feed.
async with feed.index_stream(
int(delay_s)
) as istream:
profiler(f'{func_name}: sample stream up')
profiler.finish()
async for i in istream:
# print(f'FSP incrementing {i}')
async for _ in istream:
# respawn the compute task if the source
# array has been updated such that we compute
@ -493,23 +458,3 @@ async def cascade(
last = array[-1:].copy()
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'
# )

View File

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

View File

@ -21,11 +21,7 @@ import logging
import json
import tractor
from pygments import (
highlight,
lexers,
formatters,
)
from pygments import highlight, lexers, formatters
# Makes it so we only see the full module name when using ``__name__``
# without the extra "piker." prefix.
@ -36,48 +32,26 @@ def get_logger(
name: str = None,
) -> logging.Logger:
'''
Return the package log or a sub-log for `name` if provided.
'''Return the package log or a sub-log for `name` if provided.
'''
return tractor.log.get_logger(name=name, _root_name=_proj_name)
def get_console_log(
level: str | None = None,
name: str | None = None,
) -> logging.Logger:
'''
Get the package logger and enable a handler which writes to stderr.
def get_console_log(level: str = None, name: str = None) -> logging.Logger:
'''Get the package logger and enable a handler which writes to stderr.
Yeah yeah, i know we can use ``DictConfig``. You do it...
'''
return tractor.log.get_console_log(
level,
name=name,
_root_name=_proj_name,
) # our root logger
level, name=name, _root_name=_proj_name) # our root logger
def colorize_json(
data: dict,
style='algol_nu',
):
'''
Colorize json output using ``pygments``.
'''
formatted_json = json.dumps(
data,
sort_keys=True,
indent=4,
)
def colorize_json(data, style='algol_nu'):
"""Colorize json output using ``pygments``.
"""
formatted_json = json.dumps(data, sort_keys=True, indent=4)
return highlight(
formatted_json,
lexers.JsonLexer(),
formatted_json, lexers.JsonLexer(),
# likeable styles: algol_nu, tango, monokai
formatters.TerminalTrueColorFormatter(style=style)
)

File diff suppressed because it is too large Load Diff

View File

@ -1,60 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Actor-runtime service orchestration machinery.
"""
from __future__ import annotations
from ._mngr import Services
from ._registry import ( # noqa
_tractor_kwargs,
_default_reg_addr,
_default_registry_host,
_default_registry_port,
open_registry,
find_service,
check_for_service,
)
from ._daemon import ( # noqa
maybe_spawn_daemon,
spawn_brokerd,
maybe_spawn_brokerd,
spawn_emsd,
maybe_open_emsd,
)
from ._actor_runtime import (
open_piker_runtime,
maybe_open_pikerd,
open_pikerd,
get_tractor_runtime_kwargs,
)
__all__ = [
'check_for_service',
'Services',
'maybe_spawn_daemon',
'spawn_brokerd',
'maybe_spawn_brokerd',
'spawn_emsd',
'maybe_open_emsd',
'open_piker_runtime',
'maybe_open_pikerd',
'open_pikerd',
'get_tractor_runtime_kwargs',
]

View File

@ -1,347 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
``tractor`` wrapping + default config to bootstrap the `pikerd`.
"""
from __future__ import annotations
from pprint import pformat
from functools import partial
import os
from typing import (
Optional,
Any,
ClassVar,
)
from contextlib import (
asynccontextmanager as acm,
)
import tractor
import trio
from ..log import (
get_logger,
get_console_log,
)
from ._mngr import (
Services,
)
from ._registry import ( # noqa
_tractor_kwargs,
_default_reg_addr,
open_registry,
)
log = get_logger(__name__)
def get_tractor_runtime_kwargs() -> dict[str, Any]:
'''
Deliver ``tractor`` related runtime variables in a `dict`.
'''
return _tractor_kwargs
@acm
async def open_piker_runtime(
name: str,
enable_modules: list[str] = [],
loglevel: Optional[str] = None,
# XXX NOTE 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,
# TODO: once we have `rsyscall` support we will read a config
# and spawn the service tree distributed per that.
start_method: str = 'trio',
tractor_runtime_overrides: dict | None = None,
**tractor_kwargs,
) -> tuple[
tractor.Actor,
tuple[str, int],
]:
'''
Start a piker actor who's runtime will automatically sync with
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.
'''
try:
# check for existing runtime
actor = tractor.current_actor().uid
except tractor._exceptions.NoRuntime:
tractor._state._runtime_vars[
'piker_vars'] = tractor_runtime_overrides
registry_addr = registry_addr or _default_reg_addr
async with (
tractor.open_root_actor(
# passed through to ``open_root_actor``
arbiter_addr=registry_addr,
name=name,
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=enable_modules,
**tractor_kwargs,
) as _,
open_registry(registry_addr, ensure_exists=False) as addr,
):
yield (
tractor.current_actor(),
addr,
)
else:
async with open_registry(registry_addr) as addr:
yield (
actor,
addr,
)
_root_dname = 'pikerd'
_root_modules = [
__name__,
'piker.service._daemon',
'piker.clearing._ems',
'piker.clearing._client',
'piker.data._sampling',
]
@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,
# db init flags
tsdb: bool = False,
es: bool = False,
drop_root_perms_for_ahab: bool = True,
**kwargs,
) -> Services:
'''
Start a root piker daemon with an indefinite lifetime.
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,
**kwargs,
) as (root_actor, reg_addr),
tractor.open_nursery() as actor_nursery,
trio.open_nursery() as service_nursery,
):
if root_actor.accept_addr != reg_addr:
raise RuntimeError(f'Daemon failed to bind on {reg_addr}!?')
# assign globally for future daemon/task creation
Services.actor_n = actor_nursery
Services.service_n = service_nursery
Services.debug_mode = debug_mode
if tsdb:
from ._ahab import start_ahab
from .marketstore import start_marketstore
log.info('Spawning `marketstore` supervisor')
ctn_ready, config, (cid, pid) = await service_nursery.start(
partial(
start_ahab,
'marketstored',
start_marketstore,
loglevel=loglevel,
drop_root_perms=drop_root_perms_for_ahab,
)
)
log.info(
f'`marketstored` up!\n'
f'pid: {pid}\n'
f'container id: {cid[:12]}\n'
f'config: {pformat(config)}'
)
if es:
from ._ahab import start_ahab
from .elastic import start_elasticsearch
log.info('Spawning `elasticsearch` supervisor')
ctn_ready, config, (cid, pid) = await service_nursery.start(
partial(
start_ahab,
'elasticsearch',
start_elasticsearch,
loglevel=loglevel,
drop_root_perms=drop_root_perms_for_ahab,
)
)
log.info(
f'`elasticsearch` up!\n'
f'pid: {pid}\n'
f'container id: {cid[:12]}\n'
f'config: {pformat(config)}'
)
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()
# TODO: do we even need this?
# @acm
# async def maybe_open_runtime(
# loglevel: Optional[str] = None,
# **kwargs,
# ) -> None:
# '''
# Start the ``tractor`` runtime (a root actor) if none exists.
# '''
# name = kwargs.pop('name')
# if not tractor.current_actor(err_on_no_runtime=False):
# async with open_piker_runtime(
# name,
# loglevel=loglevel,
# **kwargs,
# ) as (_, addr):
# yield addr,
# else:
# async with open_registry() as addr:
# yield addr
@acm
async def maybe_open_pikerd(
loglevel: Optional[str] = None,
registry_addr: None | tuple = None,
tsdb: bool = False,
es: bool = False,
drop_root_perms_for_ahab: bool = True,
**kwargs,
) -> tractor._portal.Portal | ClassVar[Services]:
'''
If no ``pikerd`` daemon-root-actor can be found start it and
yield up (we should probably figure out returning a portal to self
though).
'''
if loglevel:
get_console_log(loglevel)
# 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 (
open_piker_runtime(
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
# its registry socket was selected.
if (
portal is not None
):
yield portal
return
# presume pikerd role since no daemon could be found at
# configured address
async with open_pikerd(
loglevel=loglevel,
registry_addr=registry_addr,
# ahabd (docker super) specific controls
tsdb=tsdb,
es=es,
drop_root_perms_for_ahab=drop_root_perms_for_ahab,
# passthrough to ``tractor`` init
**kwargs,
) as service_manager:
# in the case where we're starting up the
# tractor-piker runtime stack in **this** process
# we return no portal to self.
assert service_manager
yield service_manager

View File

@ -1,271 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Daemon-actor spawning "endpoint-hooks".
"""
from __future__ import annotations
from typing import (
Optional,
Callable,
Any,
)
from contextlib import (
asynccontextmanager as acm,
)
import tractor
from ..log import (
get_logger,
get_console_log,
)
from ..brokers import get_brokermod
from ._mngr import (
Services,
)
from ._actor_runtime import maybe_open_pikerd
from ._registry import find_service
log = get_logger(__name__)
# `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 = [
'piker.brokers.core',
'piker.brokers.data',
'piker.data',
'piker.data.feed',
'piker.data._sampling'
]
@acm
async def maybe_spawn_daemon(
service_name: str,
service_task_target: Callable,
spawn_args: dict[str, Any],
loglevel: Optional[str] = None,
singleton: bool = False,
**kwargs,
) -> tractor.Portal:
'''
If no ``service_name`` daemon-actor can be found,
spawn one in a local subactor and return a portal to it.
If this function is called from a non-pikerd actor, the
spawned service will persist as long as pikerd does or
it is requested to be cancelled.
This can be seen as a service starting api for remote-actor
clients.
'''
if loglevel:
get_console_log(loglevel)
# serialize access to this section to avoid
# 2 or more tasks racing to create a daemon
lock = Services.locks[service_name]
await lock.acquire()
async with find_service(service_name) as portal:
if portal is not None:
lock.release()
yield portal
return
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
# pikerd is not live we now become the root of the
# process tree
async with maybe_open_pikerd(
loglevel=loglevel,
**kwargs,
) as pikerd_portal:
# we are the root and thus are `pikerd`
# so spawn the target service directly by calling
# the provided target routine.
# XXX: this assumes that the target is well formed and will
# do the right things to setup both a sub-actor **and** call
# the ``_Services`` api from above to start the top level
# service task for that actor.
started: bool
if pikerd_portal is None:
started = await service_task_target(**spawn_args)
else:
# tell the remote `pikerd` to start the target,
# the target can't return a non-serializable value
# since it is expected that service startingn is
# non-blocking and the target task will persist running
# on `pikerd` after the client requesting it's start
# disconnects.
started = await pikerd_portal.run(
service_task_target,
**spawn_args,
)
if started:
log.info(f'Service {service_name} started!')
async with tractor.wait_for_actor(service_name) as portal:
lock.release()
yield portal
await portal.cancel_actor()
async def spawn_brokerd(
brokername: str,
loglevel: Optional[str] = None,
**tractor_kwargs,
) -> bool:
log.info(f'Spawning {brokername} broker daemon')
brokermod = get_brokermod(brokername)
dname = f'brokerd.{brokername}'
extra_tractor_kwargs = getattr(brokermod, '_spawn_kwargs', {})
tractor_kwargs.update(extra_tractor_kwargs)
# ask `pikerd` to spawn a new sub-actor and manage it under its
# actor nursery
modpath = brokermod.__name__
broker_enable = [modpath]
for submodname in getattr(
brokermod,
'__enable_modules__',
[],
):
subpath = f'{modpath}.{submodname}'
broker_enable.append(subpath)
portal = await Services.actor_n.start_actor(
dname,
enable_modules=_data_mods + broker_enable,
loglevel=loglevel,
debug_mode=Services.debug_mode,
**tractor_kwargs
)
# non-blocking setup of brokerd service nursery
from ..data import _setup_persistent_brokerd
await Services.start_service_task(
dname,
portal,
_setup_persistent_brokerd,
brokername=brokername,
)
return True
@acm
async def maybe_spawn_brokerd(
brokername: str,
loglevel: Optional[str] = None,
**kwargs,
) -> tractor.Portal:
'''
Helper to spawn a brokerd service *from* a client
who wishes to use the sub-actor-daemon.
'''
async with maybe_spawn_daemon(
f'brokerd.{brokername}',
service_task_target=spawn_brokerd,
spawn_args={
'brokername': brokername,
'loglevel': loglevel,
},
loglevel=loglevel,
**kwargs,
) as portal:
yield portal
async def spawn_emsd(
loglevel: Optional[str] = None,
**extra_tractor_kwargs
) -> bool:
"""
Start the clearing engine under ``pikerd``.
"""
log.info('Spawning emsd')
portal = await Services.actor_n.start_actor(
'emsd',
enable_modules=[
'piker.clearing._ems',
'piker.clearing._client',
],
loglevel=loglevel,
debug_mode=Services.debug_mode, # set by pikerd flag
**extra_tractor_kwargs
)
# non-blocking setup of clearing service
from ..clearing._ems import _setup_persistent_emsd
await Services.start_service_task(
'emsd',
portal,
_setup_persistent_emsd,
)
return True
@acm
async def maybe_open_emsd(
brokername: str,
loglevel: Optional[str] = None,
**kwargs,
) -> tractor._portal.Portal: # noqa
async with maybe_spawn_daemon(
'emsd',
service_task_target=spawn_emsd,
spawn_args={'loglevel': loglevel},
loglevel=loglevel,
**kwargs,
) as portal:
yield portal

View File

@ -1,136 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
daemon-service management API.
"""
from collections import defaultdict
from typing import (
Callable,
Any,
)
import trio
from trio_typing import TaskStatus
import tractor
from ..log import (
get_logger,
)
log = get_logger(__name__)
# TODO: factor this into a ``tractor.highlevel`` extension
# pack for the library.
class Services:
actor_n: tractor._supervise.ActorNursery
service_n: trio.Nursery
debug_mode: bool # tractor sub-actor debug mode flag
service_tasks: dict[
str,
tuple[
trio.CancelScope,
tractor.Portal,
trio.Event,
]
] = {}
locks = defaultdict(trio.Lock)
@classmethod
async def start_service_task(
self,
name: str,
portal: tractor.Portal,
target: Callable,
**kwargs,
) -> (trio.CancelScope, tractor.Context):
'''
Open a context in a service sub-actor, add to a stack
that gets unwound at ``pikerd`` teardown.
This allows for allocating long-running sub-services in our main
daemon and explicitly controlling their lifetimes.
'''
async def open_context_in_task(
task_status: TaskStatus[
tuple[
trio.CancelScope,
trio.Event,
Any,
]
] = trio.TASK_STATUS_IGNORED,
) -> Any:
with trio.CancelScope() as cs:
async with portal.open_context(
target,
**kwargs,
) as (ctx, first):
# unblock once the remote context has started
complete = trio.Event()
task_status.started((cs, complete, first))
log.info(
f'`pikerd` service {name} started with value {first}'
)
try:
# wait on any context's return value
# and any final portal result from the
# sub-actor.
ctx_res = await ctx.result()
# NOTE: blocks indefinitely until 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)
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
# retstart if needed.
self.service_tasks[name] = (cs, portal, complete)
return cs, first
@classmethod
async def cancel_service(
self,
name: str,
) -> Any:
'''
Cancel the service task and actor for the given ``name``.
'''
log.info(f'Cancelling `pikerd` service {name}')
cs, portal, complete = self.service_tasks[name]
cs.cancel()
await complete.wait()
assert name not in self.service_tasks, \
f'Serice task for {name} not terminated?'

View File

@ -1,144 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Inter-actor "discovery" (protocol) layer.
"""
from __future__ import annotations
from contextlib import (
asynccontextmanager as acm,
)
from typing import (
Any,
)
import tractor
from ..log import (
get_logger,
)
log = get_logger(__name__)
_default_registry_host: str = '127.0.0.1'
_default_registry_port: int = 6116
_default_reg_addr: tuple[str, int] = (
_default_registry_host,
_default_registry_port,
)
# NOTE: this value is set as an actor-global once the first endpoint
# who is capable, spawns a `pikerd` service tree.
_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
@acm
async def find_service(
service_name: str,
) -> tractor.Portal | None:
async with open_registry() as reg_addr:
log.info(f'Scanning for service `{service_name}`')
# attach to existing daemon by name if possible
async with tractor.find_actor(
service_name,
arbiter_sockaddr=reg_addr,
) as maybe_portal:
yield maybe_portal
async def check_for_service(
service_name: str,
) -> None | tuple[str, int]:
'''
Service daemon "liveness" predicate.
'''
async with open_registry(ensure_exists=False) as reg_addr:
async with tractor.query_actor(
service_name,
arbiter_sockaddr=reg_addr,
) as sockaddr:
return sockaddr

View File

@ -1,128 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# 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/>.
from __future__ import annotations
from typing import (
Any,
TYPE_CHECKING,
)
if TYPE_CHECKING:
import docker
from ._ahab import DockerContainer
from piker.log import (
get_logger,
get_console_log
)
import asks
log = get_logger(__name__)
# container level config
_config = {
'port': 19200,
'log_level': 'debug',
# hardcoded to our image version
'version': '7.17.4',
}
def start_elasticsearch(
client: docker.DockerClient,
**kwargs,
) -> tuple[DockerContainer, dict[str, Any]]:
'''
Start and supervise an elasticsearch instance with its config bind-mounted
in from the piker config directory on the system.
The equivalent cli cmd to this code is:
sudo docker run \
-itd \
--rm \
--network=host \
--mount type=bind,source="$(pwd)"/elastic,\
target=/usr/share/elasticsearch/data \
--env "elastic_username=elastic" \
--env "elastic_password=password" \
--env "xpack.security.enabled=false" \
elastic
'''
get_console_log('info', name=__name__)
dcntr: DockerContainer = client.containers.run(
'piker:elastic',
name='piker-elastic',
network='host',
detach=True,
remove=True
)
async def health_query(msg: str | None = None):
if (
msg
and _config['version'] in msg
):
return True
try:
health = (await asks.get(
'http://localhost:19200/_cat/health',
params={'format': 'json'}
)).json()
kog.info(
'ElasticSearch cntr health:\n'
f'{health}'
)
except OSError:
log.exception('couldnt reach elastic container')
return False
log.info(health)
return health[0]['status'] == 'green'
async def chk_for_closed_msg(msg: str):
return msg == 'closed'
return (
dcntr,
{
# apparently we're REALLY tolerant of startup latency
# for CI XD
'startup_timeout': 240.0,
# XXX: decrease http poll period bc docker
# is shite at handling fast poll rates..
'startup_query_period': 0.1,
'log_msg_key': 'message',
# 'started_afunc': health_query,
},
# expected startup and stop msgs
health_query,
chk_for_closed_msg,
)

View File

@ -1,414 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
(time-series) database middle ware layer.
- APIs for read, write, delete, replicate over multiple
db systems.
- backend agnostic tick msg ingest machinery.
- broadcast systems for fan out of real-time ingested
data to live consumers.
- test harness utilities for data-processing verification.
'''
from __future__ import annotations
from contextlib import asynccontextmanager as acm
from datetime import datetime
from pprint import pformat
from typing import (
Optional,
Union,
)
import numpy as np
from anyio_marketstore import (
Params,
)
import pendulum
import purerpc
from ..service.marketstore import (
MarketstoreClient,
tf_in_1s,
mk_tbk,
_ohlcv_dt,
MarketStoreError,
)
from ..data.feed import maybe_open_feed
from ..log import get_logger
from .._profile import Profiler
log = get_logger(__name__)
class Storage:
'''
High level storage api for both real-time and historical ingest.
'''
def __init__(
self,
client: MarketstoreClient,
) -> None:
# TODO: eventually this should be an api/interface type that
# ensures we can support multiple tsdb backends.
self.client = client
# series' cache from tsdb reads
self._arrays: dict[str, np.ndarray] = {}
async def list_keys(self) -> list[str]:
return await self.client.list_symbols()
async def search_keys(self, pattern: str) -> list[str]:
'''
Search for time series key in the storage backend.
'''
...
async def write_ticks(self, ticks: list) -> None:
...
async def load(
self,
fqsn: str,
timeframe: int,
) -> tuple[
np.ndarray, # timeframe sampled array-series
Optional[datetime], # first dt
Optional[datetime], # last dt
]:
first_tsdb_dt, last_tsdb_dt = None, None
hist = await self.read_ohlcv(
fqsn,
# on first load we don't need to pull the max
# history per request size worth.
limit=3000,
timeframe=timeframe,
)
log.info(f'Loaded tsdb history {hist}')
if len(hist):
times = hist['Epoch']
first, last = times[0], times[-1]
first_tsdb_dt, last_tsdb_dt = map(
pendulum.from_timestamp, [first, last]
)
return (
hist, # array-data
first_tsdb_dt, # start of query-frame
last_tsdb_dt, # most recent
)
async def read_ohlcv(
self,
fqsn: str,
timeframe: int | str,
end: Optional[int] = None,
limit: int = int(800e3),
) -> np.ndarray:
client = self.client
syms = await client.list_symbols()
if fqsn not in syms:
return {}
# use the provided timeframe or 1s by default
tfstr = tf_in_1s.get(timeframe, tf_in_1s[1])
params = Params(
symbols=fqsn,
timeframe=tfstr,
attrgroup='OHLCV',
end=end,
# limit_from_start=True,
# TODO: figure the max limit here given the
# ``purepc`` msg size limit of purerpc: 33554432
limit=limit,
)
try:
result = await client.query(params)
except purerpc.grpclib.exceptions.UnknownError as err:
# indicate there is no history for this timeframe
log.exception(
f'Unknown mkts QUERY error: {params}\n'
f'{err.args}'
)
return {}
# TODO: it turns out column access on recarrays is actually slower:
# https://jakevdp.github.io/PythonDataScienceHandbook/02.09-structured-data-numpy.html#RecordArrays:-Structured-Arrays-with-a-Twist
# it might make sense to make these structured arrays?
data_set = result.by_symbols()[fqsn]
array = data_set.array
# XXX: ensure sample rate is as expected
time = data_set.array['Epoch']
if len(time) > 1:
time_step = time[-1] - time[-2]
ts = tf_in_1s.inverse[data_set.timeframe]
if time_step != ts:
log.warning(
f'MKTS BUG: wrong timeframe loaded: {time_step}'
'YOUR DATABASE LIKELY CONTAINS BAD DATA FROM AN OLD BUG'
f'WIPING HISTORY FOR {ts}s'
)
await self.delete_ts(fqsn, timeframe)
# try reading again..
return await self.read_ohlcv(
fqsn,
timeframe,
end,
limit,
)
return array
async def delete_ts(
self,
key: str,
timeframe: Optional[Union[int, str]] = None,
fmt: str = 'OHLCV',
) -> bool:
client = self.client
syms = await client.list_symbols()
if key not in syms:
raise KeyError(f'`{key}` table key not found in\n{syms}?')
tbk = mk_tbk((
key,
tf_in_1s.get(timeframe, tf_in_1s[60]),
fmt,
))
return await client.destroy(tbk=tbk)
async def write_ohlcv(
self,
fqsn: str,
ohlcv: np.ndarray,
timeframe: int,
append_and_duplicate: bool = True,
limit: int = int(800e3),
) -> None:
# build mkts schema compat array for writing
mkts_dt = np.dtype(_ohlcv_dt)
mkts_array = np.zeros(
len(ohlcv),
dtype=mkts_dt,
)
# copy from shm array (yes it's this easy):
# https://numpy.org/doc/stable/user/basics.rec.html#assignment-from-other-structured-arrays
mkts_array[:] = ohlcv[[
'time',
'open',
'high',
'low',
'close',
'volume',
]]
m, r = divmod(len(mkts_array), limit)
tfkey = tf_in_1s[timeframe]
for i in range(m, 1):
to_push = mkts_array[i-1:i*limit]
# write to db
resp = await self.client.write(
to_push,
tbk=f'{fqsn}/{tfkey}/OHLCV',
# NOTE: will will append duplicates
# for the same timestamp-index.
# TODO: pre-deduplicate?
isvariablelength=append_and_duplicate,
)
log.info(
f'Wrote {mkts_array.size} datums to tsdb\n'
)
for resp in resp.responses:
err = resp.error
if err:
raise MarketStoreError(err)
if r:
to_push = mkts_array[m*limit:]
# write to db
resp = await self.client.write(
to_push,
tbk=f'{fqsn}/{tfkey}/OHLCV',
# NOTE: will will append duplicates
# for the same timestamp-index.
# TODO: pre deduplicate?
isvariablelength=append_and_duplicate,
)
log.info(
f'Wrote {mkts_array.size} datums to tsdb\n'
)
for resp in resp.responses:
err = resp.error
if err:
raise MarketStoreError(err)
# XXX: currently the only way to do this is through the CLI:
# sudo ./marketstore connect --dir ~/.config/piker/data
# >> \show mnq.globex.20220617.ib/1Sec/OHLCV 2022-05-15
# and this seems to block and use up mem..
# >> \trim mnq.globex.20220617.ib/1Sec/OHLCV 2022-05-15
# relevant source code for this is here:
# https://github.com/alpacahq/marketstore/blob/master/cmd/connect/session/trim.go#L14
# def delete_range(self, start_dt, end_dt) -> None:
# ...
@acm
async def open_storage_client(
fqsn: str,
period: Optional[Union[int, str]] = None, # in seconds
) -> tuple[Storage, dict[str, np.ndarray]]:
'''
Load a series by key and deliver in ``numpy`` struct array format.
'''
# TODO: generic import-by-name system for each backend much like
# we have in ``piker.brokers`` module loading for `brokerd` B)
from ..service import marketstore
mod = marketstore
async with (
# eventually a storage backend endpoint
mod.get_client() as client,
):
# slap on our wrapper api
yield Storage(client)
# NOTE: pretty sure right now this is only being
# called by a CLI entrypoint?
@acm
async def open_tsdb_client(
fqsn: str,
) -> Storage:
# TODO: real-time dedicated task for ensuring
# history consistency between the tsdb, shm and real-time feed..
# update sequence design notes:
# - load existing highest frequency data from mkts
# * how do we want to offer this to the UI?
# - lazy loading?
# - try to load it all and expect graphics caching/diffing
# to hide extra bits that aren't in view?
# - compute the diff between latest data from broker and shm
# * use sql api in mkts to determine where the backend should
# start querying for data?
# * append any diff with new shm length
# * determine missing (gapped) history by scanning
# * how far back do we look?
# - begin rt update ingest and aggregation
# * could start by always writing ticks to mkts instead of
# worrying about a shm queue for now.
# * we have a short list of shm queues worth groking:
# - https://github.com/pikers/piker/issues/107
# * the original data feed arch blurb:
# - https://github.com/pikers/piker/issues/98
#
profiler = Profiler(
disabled=True, # not pg_profile_enabled(),
delayed=False,
)
async with (
open_storage_client(fqsn) as storage,
maybe_open_feed(
[fqsn],
start_stream=False,
) as feed,
):
profiler(f'opened feed for {fqsn}')
# to_append = feed.hist_shm.array
# to_prepend = None
if fqsn:
flume = feed.flumes[fqsn]
symbol = flume.symbol
if symbol:
fqsn = symbol.fqsn
# diff db history with shm and only write the missing portions
# ohlcv = flume.hist_shm.array
# TODO: use pg profiler
# for secs in (1, 60):
# tsdb_array = await storage.read_ohlcv(
# fqsn,
# timeframe=timeframe,
# )
# # hist diffing:
# # these aren't currently used but can be referenced from
# # within the embedded ipython shell below.
# to_append = ohlcv[ohlcv['time'] > ts['Epoch'][-1]]
# to_prepend = ohlcv[ohlcv['time'] < ts['Epoch'][0]]
# profiler('Finished db arrays diffs')
syms = await storage.client.list_symbols()
log.info(f'Existing tsdb symbol set:\n{pformat(syms)}')
# profiler(f'listed symbols {syms}')
yield storage
# for array in [to_append, to_prepend]:
# if array is None:
# continue
# log.info(
# f'Writing datums {array.size} -> to tsdb from shm\n'
# )
# await storage.write_ohlcv(fqsn, array)
# profiler('Finished db writes')

View File

View File

@ -32,22 +32,16 @@ def mk_marker_path(
style: str,
) -> QGraphicsPathItem:
'''
Add a marker to be displayed on the line wrapped in
a ``QGraphicsPathItem`` ready to be placed using scene coordinates
(not view).
"""Add a marker to be displayed on the line wrapped in a ``QGraphicsPathItem``
ready to be placed using scene coordinates (not view).
**Arguments**
style String indicating the style of marker to add:
``'<|'``, ``'|>'``, ``'>|'``, ``'|<'``, ``'<|>'``,
``'>|<'``, ``'^'``, ``'v'``, ``'o'``
size Size of the marker in pixels.
This code is taken nearly verbatim from the
`InfiniteLine.addMarker()` method but does not attempt do be aware
of low(er) level graphics controls and expects for the output
polygon to be applied to a ``QGraphicsPathItem``.
'''
"""
path = QtGui.QPainterPath()
if style == 'o':
@ -93,8 +87,7 @@ def mk_marker_path(
class LevelMarker(QGraphicsPathItem):
'''
An arrow marker path graphich which redraws itself
'''An arrow marker path graphich which redraws itself
to the specified view coordinate level on each paint cycle.
'''
@ -111,8 +104,7 @@ class LevelMarker(QGraphicsPathItem):
# get polygon and scale
super().__init__()
# self.setScale(size, size)
self.setScale(size)
self.scale(size, size)
# interally generates path
self._style = None
@ -122,7 +114,6 @@ class LevelMarker(QGraphicsPathItem):
self.get_level = get_level
self._on_paint = on_paint
self.scene_x = lambda: chart.marker_right_points()[1]
self.level: float = 0
self.keep_in_view = keep_in_view
@ -158,9 +149,12 @@ class LevelMarker(QGraphicsPathItem):
def w(self) -> float:
return self.path_br().width()
def position_in_view(self) -> None:
'''
Show a pp off-screen indicator for a level label.
def position_in_view(
self,
# level: float,
) -> None:
'''Show a pp off-screen indicator for a level label.
This is like in fps games where you have a gps "nav" indicator
but your teammate is outside the range of view, except in 2D, on
@ -168,6 +162,7 @@ class LevelMarker(QGraphicsPathItem):
'''
level = self.get_level()
view = self.chart.getViewBox()
vr = view.state['viewRange']
ymn, ymx = vr[1]
@ -191,6 +186,7 @@ class LevelMarker(QGraphicsPathItem):
)
elif level < ymn: # pin to bottom of view
self.setPos(
QPointF(
x,
@ -215,8 +211,7 @@ class LevelMarker(QGraphicsPathItem):
w: QtWidgets.QWidget
) -> None:
'''
Core paint which we override to always update
'''Core paint which we override to always update
our marker position in scene coordinates from a
view cooridnate "level".
@ -240,12 +235,11 @@ def qgo_draw_markers(
right_offset: float,
) -> float:
'''
Paint markers in ``pg.GraphicsItem`` style by first
"""Paint markers in ``pg.GraphicsItem`` style by first
removing the view transform for the painter, drawing the markers
in scene coords, then restoring the view coords.
'''
"""
# paint markers in native coordinate system
orig_tr = p.transform()

View File

@ -19,16 +19,15 @@ Main app startup and run.
'''
from functools import partial
from types import ModuleType
from PyQt5.QtCore import QEvent
import trio
from ..service import maybe_spawn_brokerd
from .._daemon import maybe_spawn_brokerd
from ..brokers import get_brokermod
from . import _event
from ._exec import run_qtractor
from ..data.feed import install_brokerd_search
from ..data._source import unpack_fqsn
from . import _search
from ._chart import GodWidget
from ..log import get_logger
@ -37,26 +36,27 @@ log = get_logger(__name__)
async def load_provider_search(
brokermod: str,
broker: str,
loglevel: str,
) -> None:
name = brokermod.name
log.info(f'loading brokerd for {name}..')
log.info(f'loading brokerd for {broker}..')
async with (
maybe_spawn_brokerd(
name,
broker,
loglevel=loglevel
) as portal,
install_brokerd_search(
portal,
brokermod,
get_brokermod(broker),
),
):
# keep search engine stream up until cancelled
await trio.sleep_forever()
@ -66,8 +66,8 @@ async def _async_main(
# implicit required argument provided by ``qtractor_run()``
main_widget: GodWidget,
syms: list[str],
brokers: dict[str, ModuleType],
sym: str,
brokernames: str,
loglevel: str,
) -> None:
@ -78,8 +78,6 @@ async def _async_main(
"""
from . import _display
from ._pg_overrides import _do_overrides
_do_overrides()
godwidget = main_widget
@ -99,11 +97,6 @@ async def _async_main(
sbar = godwidget.window.status_bar
starting_done = sbar.open_status('starting ze sexy chartz')
needed_brokermods: dict[str, ModuleType] = {}
for fqsn in syms:
brokername, *_ = unpack_fqsn(fqsn)
needed_brokermods[brokername] = brokers[brokername]
async with (
trio.open_nursery() as root_n,
):
@ -114,14 +107,18 @@ async def _async_main(
# setup search widget and focus main chart view at startup
# search widget is a singleton alongside the godwidget
search = _search.SearchWidget(godwidget=godwidget)
# search.bar.unfocus()
# godwidget.hbox.addWidget(search)
search.bar.unfocus()
godwidget.hbox.addWidget(search)
godwidget.search = search
symbol, _, provider = sym.rpartition('.')
# this internally starts a ``display_symbol_data()`` task above
order_mode_ready = await godwidget.load_symbols(
fqsns=syms,
loglevel=loglevel,
order_mode_ready = await godwidget.load_symbol(
provider,
symbol,
loglevel
)
# spin up a search engine for the local cached symbol set
@ -138,12 +135,8 @@ async def _async_main(
):
# load other providers into search **after**
# the chart's select cache
for brokername, mod in needed_brokermods.items():
root_n.start_soon(
load_provider_search,
mod,
loglevel,
)
for broker in brokernames:
root_n.start_soon(load_provider_search, broker, loglevel)
await order_mode_ready.wait()
@ -172,22 +165,19 @@ async def _async_main(
def _main(
syms: list[str],
brokermods: list[ModuleType],
sym: str,
brokernames: [str],
piker_loglevel: str,
tractor_kwargs,
) -> None:
'''
Sync entry point to start a chart: a ``tractor`` + Qt runtime.
Sync entry point to start a chart: a ``tractor`` + Qt runtime
entry point
'''
run_qtractor(
func=_async_main,
args=(
syms,
{mod.name: mod for mod in brokermods},
piker_loglevel,
),
main_widget_type=GodWidget,
args=(sym, brokernames, piker_loglevel),
main_widget=GodWidget,
tractor_kwargs=tractor_kwargs,
)

View File

@ -18,7 +18,6 @@
Chart axes graphics and behavior.
"""
from __future__ import annotations
from functools import lru_cache
from typing import Optional, Callable
from math import floor
@ -28,7 +27,6 @@ import pyqtgraph as pg
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QPointF
from . import _pg_overrides as pgo
from ..data._source import float_digits
from ._label import Label
from ._style import DpiAwareFont, hcolor, _font
@ -41,17 +39,12 @@ class Axis(pg.AxisItem):
'''
A better axis that sizes tick contents considering font size.
Also includes tick values lru caching originally proposed in but never
accepted upstream:
https://github.com/pyqtgraph/pyqtgraph/pull/2160
'''
def __init__(
self,
plotitem: pgo.PlotItem,
typical_max_str: str = '100 000.000 ',
linkedsplits,
typical_max_str: str = '100 000.000',
text_color: str = 'bracket',
lru_cache_tick_strings: bool = True,
**kwargs
) -> None:
@ -63,78 +56,41 @@ class Axis(pg.AxisItem):
# XXX: pretty sure this makes things slower
# self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
self.pi = plotitem
self.linkedsplits = linkedsplits
self._dpi_font = _font
self.setTickFont(_font.font)
font_size = self._dpi_font.font.pixelSize()
style_conf = {
'textFillLimits': [(0, 0.5)],
'tickFont': self._dpi_font.font,
}
text_offset = None
if self.orientation in ('bottom',):
text_offset = floor(0.25 * font_size)
elif self.orientation in ('left', 'right'):
text_offset = floor(font_size / 2)
if text_offset:
style_conf.update({
self.setStyle(**{
'textFillLimits': [(0, 0.5)],
'tickFont': self._dpi_font.font,
# offset of text *away from* axis line in px
# use approx. half the font pixel size (height)
'tickTextOffset': text_offset,
})
self.setStyle(**style_conf)
self.setTickFont(_font.font)
# NOTE: this is for surrounding "border"
self.setPen(_axis_pen)
# this is the text color
# self.setTextPen(pg.mkPen(hcolor(text_color)))
self.text_color = text_color
# generate a bounding rect based on sizing to a "typical"
# maximum length-ed string defined as init default.
self.typical_br = _font._qfm.boundingRect(typical_max_str)
# size the pertinent axis dimension to a "typical value"
self.size_to_values()
# NOTE: requires override ``.tickValues()`` method seen below.
if lru_cache_tick_strings:
self.tickStrings = lru_cache(
maxsize=2**20
)(self.tickStrings)
# axis "sticky" labels
self._stickies: dict[str, YAxisLabel] = {}
# NOTE: only overriden to cast tick values entries into tuples
# for use with the lru caching.
def tickValues(
self,
minVal: float,
maxVal: float,
size: int,
) -> list[tuple[float, tuple[str]]]:
'''
Repack tick values into tuples for lru caching.
'''
ticks = []
for scalar, values in super().tickValues(minVal, maxVal, size):
ticks.append((
scalar,
tuple(values), # this
))
return ticks
@property
def text_color(self) -> str:
return self._text_color
@ -150,38 +106,6 @@ class Axis(pg.AxisItem):
def txt_offsets(self) -> tuple[int, int]:
return tuple(self.style['tickTextOffset'])
def add_sticky(
self,
pi: pgo.PlotItem,
name: None | str = None,
digits: None | int = 2,
bg_color='default',
fg_color='black',
) -> YAxisLabel:
# if the sticky is for our symbol
# use the tick size precision for display
name = name or pi.name
digits = digits or 2
# TODO: ``._ysticks`` should really be an attr on each
# ``PlotItem`` now instead of the containing widget (because of
# overlays) ?
# add y-axis "last" value label
sticky = self._stickies[name] = YAxisLabel(
pi=pi,
parent=self,
digits=digits, # TODO: pass this from symbol data
opacity=0.9, # slight see-through
bg_color=bg_color,
fg_color=fg_color,
)
pi.sigRangeChanged.connect(sticky.update_on_resize)
return sticky
class PriceAxis(Axis):
@ -243,6 +167,7 @@ class PriceAxis(Axis):
self._min_tick = size
def size_to_values(self) -> None:
# self.typical_br = _font._qfm.boundingRect(typical_max_str)
self.setWidth(self.typical_br.width())
# XXX: drop for now since it just eats up h space
@ -297,50 +222,28 @@ class DynamicDateAxis(Axis):
) -> list[str]:
# XX: ARGGGGG AG:LKSKDJF:LKJSDFD
chart = self.pi.chart_widget
viz = chart._vizs[chart.name]
shm = viz.shm
array = shm.array
times = array['time']
i_0, i_l = times[0], times[-1]
# edge cases
if (
not indexes
or
(indexes[0] < i_0
and indexes[-1] < i_l)
or
(indexes[0] > i_0
and indexes[-1] > i_l)
):
return []
if viz.index_field == 'index':
arr_len = times.shape[0]
chart = self.linkedsplits.chart
flow = chart._flows[chart.name]
shm = flow.shm
bars = shm.array
first = shm._first.value
epochs = times[
list(
bars_len = len(bars)
times = bars['time']
epochs = times[list(
map(
int,
filter(
lambda i: i > 0 and i < arr_len,
(i - first for i in indexes)
lambda i: i > 0 and i < bars_len,
(i-first for i in indexes)
)
)
)
]
else:
epochs = list(map(int, indexes))
)]
# TODO: **don't** have this hard coded shift to EST
# delay = times[-1] - times[-2]
dts = np.array(
epochs,
dtype='datetime64[s]',
)
dts = np.array(epochs, dtype='datetime64[s]')
# see units listing:
# https://numpy.org/devdocs/reference/arrays.datetime.html#datetime-units
@ -358,39 +261,24 @@ class DynamicDateAxis(Axis):
spacing: float,
) -> list[str]:
return self._indexes_to_timestrs(values)
# NOTE: handy for debugging the lru cache
# info = self.tickStrings.cache_info()
# print(info)
return self._indexes_to_timestrs(values)
class AxisLabel(pg.GraphicsObject):
# relative offsets *OF* the bounding rect relative
# to parent graphics object.
# eg. <parent>| => <_x_br_offset> => | <text> |
_x_br_offset: float = 0
_y_br_offset: float = 0
# relative offsets of text *within* bounding rect
# eg. | <_x_margin> => <text> |
_x_margin: float = 0
_y_margin: float = 0
# multiplier of the text content's height in order
# to force a larger (y-dimension) bounding rect.
_y_txt_h_scaling: float = 1
_x_margin = 0
_y_margin = 0
def __init__(
self,
parent: pg.GraphicsItem,
digits: int = 2,
bg_color: str = 'default',
bg_color: str = 'bracket',
fg_color: str = 'black',
opacity: int = .8, # XXX: seriously don't set this to 0
opacity: int = 1, # XXX: seriously don't set this to 0
font_size: str = 'default',
use_arrow: bool = True,
@ -401,7 +289,6 @@ class AxisLabel(pg.GraphicsObject):
self.setParentItem(parent)
self.setFlag(self.ItemIgnoresTransformations)
self.setZValue(100)
# XXX: pretty sure this is faster
self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
@ -433,14 +320,14 @@ class AxisLabel(pg.GraphicsObject):
p: QtGui.QPainter,
opt: QtWidgets.QStyleOptionGraphicsItem,
w: QtWidgets.QWidget
) -> None:
'''
Draw a filled rectangle based on the size of ``.label_str`` text.
"""Draw a filled rectangle based on the size of ``.label_str`` text.
Subtypes can customize further by overloading ``.draw()``.
'''
"""
# p.setCompositionMode(QtWidgets.QPainter.CompositionMode_SourceOver)
if self.label_str:
# if not self.rect:
@ -451,11 +338,7 @@ class AxisLabel(pg.GraphicsObject):
p.setFont(self._dpifont.font)
p.setPen(self.fg_color)
p.drawText(
self.rect,
self.text_flags,
self.label_str,
)
p.drawText(self.rect, self.text_flags, self.label_str)
def draw(
self,
@ -463,8 +346,6 @@ class AxisLabel(pg.GraphicsObject):
rect: QtCore.QRectF
) -> None:
p.setOpacity(self.opacity)
if self._use_arrow:
if not self.path:
self._draw_arrow_path()
@ -472,13 +353,15 @@ class AxisLabel(pg.GraphicsObject):
p.drawPath(self.path)
p.fillPath(self.path, pg.mkBrush(self.bg_color))
# this adds a nice black outline around the label for some odd
# reason; ok by us
p.setOpacity(self.opacity)
# this cause the L1 labels to glitch out if used in the subtype
# and it will leave a small black strip with the arrow path if
# done before the above
p.fillRect(
self.rect,
self.bg_color,
)
p.fillRect(self.rect, self.bg_color)
def boundingRect(self): # noqa
'''
@ -522,18 +405,15 @@ class AxisLabel(pg.GraphicsObject):
txt_h, txt_w = txt_br.height(), txt_br.width()
# print(f'wsw: {self._dpifont.boundingRect(" ")}')
# allow subtypes to override width and height
# allow subtypes to specify a static width and height
h, w = self.size_hint()
# print(f'axis size: {self._parent.size()}')
# print(f'axis geo: {self._parent.geometry()}')
self.rect = QtCore.QRectF(
# relative bounds offsets
self._x_br_offset,
self._y_br_offset,
0, 0,
(w or txt_w) + self._x_margin / 2,
(h or txt_h) * self._y_txt_h_scaling + (self._y_margin / 2),
(h or txt_h) + self._y_margin / 2,
)
# print(self.rect)
# hb = self.path.controlPointRect()
@ -609,7 +489,7 @@ class XAxisLabel(AxisLabel):
class YAxisLabel(AxisLabel):
_y_margin: int = 4
_y_margin = 4
text_flags = (
QtCore.Qt.AlignLeft
@ -620,19 +500,19 @@ class YAxisLabel(AxisLabel):
def __init__(
self,
pi: pgo.PlotItem,
chart,
*args,
**kwargs
) -> None:
super().__init__(*args, **kwargs)
self._pi = pi
pi.sigRangeChanged.connect(self.update_on_resize)
self._chart = chart
chart.sigRangeChanged.connect(self.update_on_resize)
self._last_datum = (None, None)
self.x_offset = 0
# pull text offset from axis from parent axis
if getattr(self._parent, 'txt_offsets', False):
self.x_offset, y_offset = self._parent.txt_offsets()
@ -651,8 +531,7 @@ class YAxisLabel(AxisLabel):
value: float, # data for text
# on odd dimension and/or adds nice black line
x_offset: int = 0,
x_offset: Optional[int] = None
) -> None:
# this is read inside ``.paint()``
@ -698,7 +577,7 @@ class YAxisLabel(AxisLabel):
self._last_datum = (index, value)
self.update_label(
self._pi.mapFromView(QPointF(index, value)),
self._chart.mapFromView(QPointF(index, value)),
value
)

File diff suppressed because it is too large Load Diff

View File

@ -15,30 +15,17 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Graphics downsampling using the infamous M4 algorithm.
This is one of ``piker``'s secret weapons allowing us to boss all other
charting platforms B)
(AND DON'T YOU DARE TAKE THIS CODE WITHOUT CREDIT OR WE'LL SUE UR F#&@* ASS).
NOTES: this method is a so called "visualization driven data
aggregation" approach. It gives error-free line chart
downsampling, see
further scientific paper resources:
- http://www.vldb.org/pvldb/vol7/p797-jugel.pdf
- http://www.vldb.org/2014/program/papers/demo/p997-jugel.pdf
Details on implementation of this algo are based in,
https://github.com/pikers/piker/issues/109
Graphics related downsampling routines for compressing to pixel
limits on the display device.
'''
import math
from typing import Optional
import numpy as np
from numpy.lib import recfunctions as rfn
from numba import (
njit,
jit,
# float64, optional, int64,
)
@ -48,6 +35,109 @@ from ..log import get_logger
log = get_logger(__name__)
def hl2mxmn(ohlc: np.ndarray) -> np.ndarray:
'''
Convert a OHLC struct-array containing 'high'/'low' columns
to a "joined" max/min 1-d array.
'''
index = ohlc['index']
hls = ohlc[[
'low',
'high',
]]
mxmn = np.empty(2*hls.size, dtype=np.float64)
x = np.empty(2*hls.size, dtype=np.float64)
trace_hl(hls, mxmn, x, index[0])
x = x + index[0]
return mxmn, x
@jit(
# TODO: the type annots..
# float64[:](float64[:],),
nopython=True,
)
def trace_hl(
hl: 'np.ndarray',
out: np.ndarray,
x: np.ndarray,
start: int,
# the "offset" values in the x-domain which
# place the 2 output points around each ``int``
# master index.
margin: float = 0.43,
) -> None:
'''
"Trace" the outline of the high-low values of an ohlc sequence
as a line such that the maximum deviation (aka disperaion) between
bars if preserved.
This routine is expected to modify input arrays in-place.
'''
last_l = hl['low'][0]
last_h = hl['high'][0]
for i in range(hl.size):
row = hl[i]
l, h = row['low'], row['high']
up_diff = h - last_l
down_diff = last_h - l
if up_diff > down_diff:
out[2*i + 1] = h
out[2*i] = last_l
else:
out[2*i + 1] = l
out[2*i] = last_h
last_l = l
last_h = h
x[2*i] = int(i) - margin
x[2*i + 1] = int(i) + margin
return out
def ohlc_flatten(
ohlc: np.ndarray,
use_mxmn: bool = True,
) -> tuple[np.ndarray, np.ndarray]:
'''
Convert an OHLCV struct-array into a flat ready-for-line-plotting
1-d array that is 4 times the size with x-domain values distributed
evenly (by 0.5 steps) over each index.
'''
index = ohlc['index']
if use_mxmn:
# traces a line optimally over highs to lows
# using numba. NOTE: pretty sure this is faster
# and looks about the same as the below output.
flat, x = hl2mxmn(ohlc)
else:
flat = rfn.structured_to_unstructured(
ohlc[['open', 'high', 'low', 'close']]
).flatten()
x = np.linspace(
start=index[0] - 0.5,
stop=index[-1] + 0.5,
num=len(flat),
)
return x, flat
def ds_m4(
x: np.ndarray,
y: np.ndarray,
@ -70,6 +160,16 @@ def ds_m4(
This is more or less an OHLC style sampling of a line-style series.
'''
# NOTE: this method is a so called "visualization driven data
# aggregation" approach. It gives error-free line chart
# downsampling, see
# further scientific paper resources:
# - http://www.vldb.org/pvldb/vol7/p797-jugel.pdf
# - http://www.vldb.org/2014/program/papers/demo/p997-jugel.pdf
# Details on implementation of this algo are based in,
# https://github.com/pikers/piker/issues/109
# XXX: from infinite on downsampling viewable graphics:
# "one thing i remembered about the binning - if you are
# picking a range within your timeseries the start and end bin
@ -91,14 +191,6 @@ def ds_m4(
x_end = x[-1] # x end value/highest in domain
xrange = (x_end - x_start)
if xrange < 0:
log.error(f'-VE M4 X-RANGE: {x_start} -> {x_end}')
# XXX: broken x-range calc-case, likely the x-end points
# are wrong and have some default value set (such as
# x_end -> <some epoch float> while x_start -> 0.5).
# breakpoint()
return None
# XXX: always round up on the input pixels
# lnx = len(x)
# uppx *= max(4 / (1 + math.log(uppx, 2)), 1)
@ -131,20 +223,14 @@ def ds_m4(
assert frames >= (xrange / uppx)
# call into ``numba``
(
nb,
x_out,
y_out,
ymn,
ymx,
) = _m4(
nb, i_win, y_out = _m4(
x,
y,
frames,
# TODO: see func below..
# x_out,
# i_win,
# y_out,
# first index in x data to start at
@ -157,14 +243,14 @@ def ds_m4(
# filter out any overshoot in the input allocation arrays by
# removing zero-ed tail entries which should start at a certain
# index.
x_out = x_out[x_out != 0]
y_out = y_out[:x_out.size]
i_win = i_win[i_win != 0]
y_out = y_out[:i_win.size]
# print(f'M4 output ymn, ymx: {ymn},{ymx}')
return nb, x_out, y_out, ymn, ymx
return nb, i_win, y_out
@njit(
@jit(
nopython=True,
nogil=True,
)
def _m4(
@ -174,8 +260,8 @@ def _m4(
frames: int,
# TODO: using this approach, having the ``.zeros()`` alloc lines
# below in pure python, there were segs faults and alloc crashes..
# TODO: using this approach by having the ``.zeros()`` alloc lines
# below, in put python was causing segs faults and alloc crashes..
# we might need to see how it behaves with shm arrays and consider
# allocating them once at startup?
@ -188,22 +274,14 @@ def _m4(
x_start: int,
step: float,
) -> tuple[
int,
np.ndarray,
np.ndarray,
float,
float,
]:
'''
Implementation of the m4 algorithm in ``numba``:
http://www.vldb.org/pvldb/vol7/p797-jugel.pdf
) -> int:
# nbins = len(i_win)
# count = len(xs)
'''
# these are pre-allocated and mutated by ``numba``
# code in-place.
y_out = np.zeros((frames, 4), ys.dtype)
x_out = np.zeros(frames, xs.dtype)
i_win = np.zeros(frames, xs.dtype)
bincount = 0
x_left = x_start
@ -217,34 +295,24 @@ def _m4(
# set all bins in the left-most entry to the starting left-most x value
# (aka a row broadcast).
x_out[bincount] = x_left
i_win[bincount] = x_left
# set all y-values to the first value passed in.
y_out[bincount] = ys[0]
# full input y-data mx and mn
mx: float = -np.inf
mn: float = np.inf
# compute OHLC style max / min values per window sized x-frame.
for i in range(len(xs)):
x = xs[i]
y = ys[i]
if x < x_left + step: # the current window "step" is [bin, bin+1)
ymn = y_out[bincount, 1] = min(y, y_out[bincount, 1])
ymx = y_out[bincount, 2] = max(y, y_out[bincount, 2])
y_out[bincount, 1] = min(y, y_out[bincount, 1])
y_out[bincount, 2] = max(y, y_out[bincount, 2])
y_out[bincount, 3] = y
mx = max(mx, ymx)
mn = min(mn, ymn)
else:
# Find the next bin
while x >= x_left + step:
x_left += step
bincount += 1
x_out[bincount] = x_left
i_win[bincount] = x_left
y_out[bincount] = y
return bincount, x_out, y_out, mn, mx
return bincount, i_win, y_out

View File

@ -18,13 +18,8 @@
Mouse interaction graphics
"""
from __future__ import annotations
from functools import partial
from typing import (
Optional,
Callable,
TYPE_CHECKING,
)
from typing import Optional, Callable
import inspect
import numpy as np
@ -41,12 +36,6 @@ from ._style import (
from ._axes import YAxisLabel, XAxisLabel
from ..log import get_logger
if TYPE_CHECKING:
from ._chart import (
ChartPlotWidget,
LinkedSplits,
)
log = get_logger(__name__)
@ -69,9 +58,9 @@ class LineDot(pg.CurvePoint):
curve: pg.PlotCurveItem,
index: int,
plot: ChartPlotWidget, # type: ingore # noqa
plot: 'ChartPlotWidget', # type: ingore # noqa
pos=None,
color: str = 'bracket',
color: str = 'default_light',
) -> None:
# scale from dpi aware font size
@ -162,7 +151,7 @@ class ContentsLabel(pg.LabelItem):
def __init__(
self,
# chart: ChartPlotWidget, # noqa
# chart: 'ChartPlotWidget', # noqa
view: pg.ViewBox,
anchor_at: str = ('top', 'right'),
@ -198,11 +187,12 @@ class ContentsLabel(pg.LabelItem):
self,
name: str,
ix: int,
index: int,
array: np.ndarray,
) -> None:
# this being "html" is the dumbest shit :eyeroll:
first = array[0]['index']
self.setText(
"<b>i</b>:{index}<br/>"
@ -215,7 +205,7 @@ class ContentsLabel(pg.LabelItem):
"<b>C</b>:{}<br/>"
"<b>V</b>:{}<br/>"
"<b>wap</b>:{}".format(
*array[ix][
*array[index - first][
[
'time',
'open',
@ -227,7 +217,7 @@ class ContentsLabel(pg.LabelItem):
]
],
name=name,
index=ix,
index=index,
)
)
@ -235,11 +225,14 @@ class ContentsLabel(pg.LabelItem):
self,
name: str,
ix: int,
index: int,
array: np.ndarray,
) -> None:
data = array[ix][name]
first = array[0]['index']
if index < array[-1]['index'] and index > first:
data = array[index - first][name]
self.setText(f"{name}: {data:.2f}")
@ -251,7 +244,7 @@ class ContentsLabels:
'''
def __init__(
self,
linkedsplits: LinkedSplits, # type: ignore # noqa
linkedsplits: 'LinkedSplits', # type: ignore # noqa
) -> None:
@ -265,20 +258,17 @@ class ContentsLabels:
def update_labels(
self,
x_in: int,
index: int,
) -> None:
for chart, name, label, update in self._labels:
viz = chart.get_viz(name)
array = viz.shm.array
index = array[viz.index_field]
start = index[0]
stop = index[-1]
flow = chart._flows[name]
array = flow.shm.array
if not (
x_in >= start
and x_in <= stop
index >= 0
and index < array[-1]['index']
):
# out of range
print('WTF out of range?')
@ -287,10 +277,7 @@ class ContentsLabels:
# call provided update func with data point
try:
label.show()
ix = np.searchsorted(index, x_in)
if ix > len(array):
breakpoint()
update(ix, array)
update(index, array)
except IndexError:
log.exception(f"Failed to update label: {name}")
@ -302,7 +289,7 @@ class ContentsLabels:
def add_label(
self,
chart: ChartPlotWidget, # type: ignore # noqa
chart: 'ChartPlotWidget', # type: ignore # noqa
name: str,
anchor_at: tuple[str, str] = ('top', 'left'),
update_func: Callable = ContentsLabel.update_from_value,
@ -329,7 +316,7 @@ class Cursor(pg.GraphicsObject):
def __init__(
self,
linkedsplits: LinkedSplits, # noqa
linkedsplits: 'LinkedSplits', # noqa
digits: int = 0
) -> None:
@ -338,8 +325,6 @@ class Cursor(pg.GraphicsObject):
self.linked = linkedsplits
self.graphics: dict[str, pg.GraphicsObject] = {}
self.xaxis_label: Optional[XAxisLabel] = None
self.always_show_xlabel: bool = True
self.plots: list['PlotChartWidget'] = [] # type: ignore # noqa
self.active_plot = None
self.digits: int = digits
@ -351,7 +336,7 @@ class Cursor(pg.GraphicsObject):
# XXX: not sure why these are instance variables?
# It's not like we can change them on the fly..?
self.pen = pg.mkPen(
color=hcolor('bracket'),
color=hcolor('default'),
style=QtCore.Qt.DashLine,
)
self.lines_pen = pg.mkPen(
@ -367,7 +352,7 @@ class Cursor(pg.GraphicsObject):
self._lw = self.pixelWidth() * self.lines_pen.width()
# xhair label's color name
self.label_color: str = 'bracket'
self.label_color: str = 'default'
self._y_label_update: bool = True
@ -400,7 +385,7 @@ class Cursor(pg.GraphicsObject):
def add_plot(
self,
plot: ChartPlotWidget, # noqa
plot: 'ChartPlotWidget', # noqa
digits: int = 0,
) -> None:
@ -420,7 +405,7 @@ class Cursor(pg.GraphicsObject):
hl.hide()
yl = YAxisLabel(
pi=plot.plotItem,
chart=plot,
# parent=plot.getAxis('right'),
parent=plot.pi_overlay.get_axis(plot.plotItem, 'right'),
digits=digits or self.digits,
@ -484,58 +469,39 @@ class Cursor(pg.GraphicsObject):
def add_curve_cursor(
self,
chart: ChartPlotWidget, # noqa
plot: 'ChartPlotWidget', # noqa
curve: 'PlotCurveItem', # noqa
) -> LineDot:
# if this chart contains curves add line dot "cursors" to denote
# if this plot contains curves add line dot "cursors" to denote
# the current sample under the mouse
main_viz = chart.get_viz(chart.name)
main_flow = plot._flows[plot.name]
# read out last index
i = main_viz.shm.array[-1]['index']
i = main_flow.shm.array[-1]['index']
cursor = LineDot(
curve,
index=i,
plot=chart
plot=plot
)
chart.addItem(cursor)
self.graphics[chart].setdefault('cursors', []).append(cursor)
plot.addItem(cursor)
self.graphics[plot].setdefault('cursors', []).append(cursor)
return cursor
def mouseAction(
self,
action: str,
plot: ChartPlotWidget,
) -> None: # noqa
def mouseAction(self, action, plot): # noqa
log.debug(f"{(action, plot.name)}")
if action == 'Enter':
self.active_plot = plot
plot.linked.godwidget._active_cursor = self
# show horiz line and y-label
self.graphics[plot]['hl'].show()
self.graphics[plot]['yl'].show()
if (
not self.always_show_xlabel
and not self.xaxis_label.isVisible()
):
self.xaxis_label.show()
else: # Leave
# Leave: hide horiz line and y-label
else:
# hide horiz line and y-label
self.graphics[plot]['hl'].hide()
self.graphics[plot]['yl'].hide()
if (
not self.always_show_xlabel
and self.xaxis_label.isVisible()
):
self.xaxis_label.hide()
def mouseMoved(
self,
coords: tuple[QPointF], # noqa
@ -624,10 +590,6 @@ class Cursor(pg.GraphicsObject):
left_axis_width += left.width()
# map back to abs (label-local) coordinates
if (
self.always_show_xlabel
or self.xaxis_label.isVisible()
):
self.xaxis_label.update_label(
abs_pos=(
plot.mapFromView(QPointF(vl_x, iy)) -

View File

@ -28,7 +28,10 @@ from PyQt5.QtWidgets import QGraphicsItem
from PyQt5.QtCore import (
Qt,
QLineF,
QSizeF,
QRectF,
# QRect,
QPointF,
)
from PyQt5.QtGui import (
QPainter,
@ -36,8 +39,11 @@ from PyQt5.QtGui import (
)
from .._profile import pg_profile_enabled, ms_slower_then
from ._style import hcolor
# from ._compression import (
# # ohlc_to_m4_line,
# ds_m4,
# )
from ..log import get_logger
from .._profile import Profiler
log = get_logger(__name__)
@ -51,117 +57,7 @@ _line_styles: dict[str, int] = {
}
class FlowGraphic(pg.GraphicsObject):
'''
Base class with minimal interface for `QPainterPath` implemented,
real-time updated "data flow" graphics.
See subtypes below.
'''
# sub-type customization methods
declare_paintables: Callable | None = None
sub_paint: Callable | None = None
# XXX-NOTE-XXX: graphics caching B)
# see explanation for different caching modes:
# https://stackoverflow.com/a/39410081
cache_mode: int = QGraphicsItem.DeviceCoordinateCache
# XXX: WARNING item caching seems to only be useful
# if we don't re-generate the entire QPainterPath every time
# don't ever use this - it's a colossal nightmare of artefacts
# and is disastrous for performance.
# QGraphicsItem.ItemCoordinateCache
# TODO: still questions todo with coord-cacheing that we should
# probably talk to a core dev about:
# - if this makes trasform interactions slower (such as zooming)
# and if so maybe if/when we implement a "history" mode for the
# view we disable this in that mode?
def __init__(
self,
*args,
name: str | None = None,
# line styling
color: str = 'bracket',
last_step_color: str | None = None,
fill_color: Optional[str] = None,
style: str = 'solid',
**kwargs
) -> None:
self._name = name
# primary graphics item used for history
self.path: QPainterPath = QPainterPath()
# additional path that can be optionally used for appends which
# tries to avoid triggering an update/redraw of the presumably
# larger historical ``.path`` above. the flag to enable
# this behaviour is found in `Renderer.render()`.
self.fast_path: QPainterPath | None = None
# TODO: evaluating the path capacity stuff and see
# if it really makes much diff pre-allocating it.
# self._last_cap: int = 0
# cap = path.capacity()
# if cap != self._last_cap:
# print(f'NEW CAPACITY: {self._last_cap} -> {cap}')
# self._last_cap = cap
# all history of curve is drawn in single px thickness
self._color: str = color
pen = pg.mkPen(hcolor(color), width=1)
pen.setStyle(_line_styles[style])
if 'dash' in style:
pen.setDashPattern([8, 3])
self._pen = pen
self._brush = pg.functions.mkBrush(
hcolor(fill_color or color)
)
# last segment is drawn in 2px thickness for emphasis
if last_step_color:
self.last_step_pen = pg.mkPen(
hcolor(last_step_color),
width=2,
)
else:
self.last_step_pen = pg.mkPen(
self._pen,
width=2,
)
self._last_line: QLineF = QLineF()
super().__init__(*args, **kwargs)
# apply cache mode
self.setCacheMode(self.cache_mode)
def x_uppx(self) -> int:
px_vecs = self.pixelVectors()[0]
if px_vecs:
return px_vecs.x()
else:
return 0
def x_last(self) -> float | None:
'''
Return the last most x value of the last line segment or if not
drawn yet, ``None``.
'''
return self._last_line.x1() if self._last_line else None
class Curve(FlowGraphic):
class Curve(pg.GraphicsObject):
'''
A faster, simpler, append friendly version of
``pyqtgraph.PlotCurveItem`` built for highly customizable real-time
@ -178,7 +74,7 @@ class Curve(FlowGraphic):
lower level graphics data can be rendered in different threads and
then read and drawn in this main thread without having to worry
about dealing with Qt's concurrency primitives. See
``piker.ui._render.Renderer`` for details and logic related to lower
``piker.ui._flows.Renderer`` for details and logic related to lower
level path generation and incremental update. The main differences in
the path generation code include:
@ -190,38 +86,127 @@ class Curve(FlowGraphic):
updates don't trigger a full path redraw.
'''
# TODO: can we remove this?
# sub_br: Optional[Callable] = None
# sub-type customization methods
sub_br: Optional[Callable] = None
sub_paint: Optional[Callable] = None
declare_paintables: Optional[Callable] = None
def __init__(
self,
*args,
# color: str = 'default_lightest',
# fill_color: Optional[str] = None,
# style: str = 'solid',
step_mode: bool = False,
color: str = 'default_lightest',
fill_color: Optional[str] = None,
style: str = 'solid',
name: Optional[str] = None,
use_fpath: bool = True,
**kwargs
) -> None:
self._name = name
# brutaaalll, see comments within..
self.yData = None
self.xData = None
# self._last_cap: int = 0
self.path: Optional[QPainterPath] = None
# additional path used for appends which tries to avoid
# triggering an update/redraw of the presumably larger
# historical ``.path`` above.
self.use_fpath = use_fpath
self.fast_path: Optional[QPainterPath] = None
# TODO: we can probably just dispense with the parent since
# we're basically only using the pen setting now...
super().__init__(*args, **kwargs)
self._last_line: QLineF = QLineF()
# all history of curve is drawn in single px thickness
pen = pg.mkPen(hcolor(color))
pen.setStyle(_line_styles[style])
if 'dash' in style:
pen.setDashPattern([8, 3])
self._pen = pen
# last segment is drawn in 2px thickness for emphasis
# self.last_step_pen = pg.mkPen(hcolor(color), width=2)
self.last_step_pen = pg.mkPen(pen, width=2)
# self._last_line: Optional[QLineF] = None
self._last_line = QLineF()
self._last_w: float = 1
# flat-top style histogram-like discrete curve
# self._step_mode: bool = step_mode
# self._fill = True
self._brush = pg.functions.mkBrush(hcolor(fill_color or color))
# NOTE: this setting seems to mostly prevent redraws on mouse
# interaction which is a huge boon for avg interaction latency.
# TODO: one question still remaining is if this makes trasform
# interactions slower (such as zooming) and if so maybe if/when
# we implement a "history" mode for the view we disable this in
# that mode?
# don't enable caching by default for the case where the
# only thing drawn is the "last" line segment which can
# have a weird artifact where it won't be fully drawn to its
# endpoint (something we saw on trade rate curves)
self.setCacheMode(QGraphicsItem.DeviceCoordinateCache)
# XXX: see explanation for different caching modes:
# https://stackoverflow.com/a/39410081
# seems to only be useful if we don't re-generate the entire
# QPainterPath every time
# curve.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
# don't ever use this - it's a colossal nightmare of artefacts
# and is disastrous for performance.
# curve.setCacheMode(QtWidgets.QGraphicsItem.ItemCoordinateCache)
# allow sub-type customization
declare = self.declare_paintables
if declare:
declare()
# TODO: probably stick this in a new parent
# type which will contain our own version of
# what ``PlotCurveItem`` had in terms of base
# functionality? A `FlowGraphic` maybe?
def x_uppx(self) -> int:
px_vecs = self.pixelVectors()[0]
if px_vecs:
xs_in_px = px_vecs.x()
return round(xs_in_px)
else:
return 0
def px_width(self) -> float:
vb = self.getViewBox()
if not vb:
return 0
vr = self.viewRect()
l, r = int(vr.left()), int(vr.right())
start, stop = self._xrange
lbar = max(l, start)
rbar = min(r, stop)
return vb.mapViewToDevice(
QLineF(lbar, 0, rbar, 0)
).length()
# XXX: lol brutal, the internals of `CurvePoint` (inherited by
# our `LineDot`) required ``.getData()`` to work..
def getData(self):
@ -245,8 +230,8 @@ class Curve(FlowGraphic):
self.path.clear()
if self.fast_path:
self.fast_path.clear()
# self.fast_path = None
# self.fast_path.clear()
self.fast_path = None
@cm
def reset_cache(self) -> None:
@ -266,65 +251,77 @@ class Curve(FlowGraphic):
self.boundingRect = self._path_br
return self._path_br()
# Qt docs: https://doc.qt.io/qt-5/qgraphicsitem.html#boundingRect
def _path_br(self):
'''
Post init ``.boundingRect()```.
'''
# profiler = Profiler(
# msg=f'Curve.boundingRect(): `{self._name}`',
# disabled=not pg_profile_enabled(),
# ms_threshold=ms_slower_then,
# hb = self.path.boundingRect()
hb = self.path.controlPointRect()
hb_size = hb.size()
fp = self.fast_path
if fp:
fhb = fp.controlPointRect()
hb_size = fhb.size() + hb_size
# print(f'hb_size: {hb_size}')
# if self._last_step_rect:
# hb_size += self._last_step_rect.size()
# if self._line:
# br = self._last_step_rect.bottomRight()
# tl = QPointF(
# # self._vr[0],
# # hb.topLeft().y(),
# # 0,
# # hb_size.height() + 1
# )
pr = self.path.controlPointRect()
hb_tl, hb_br = (
pr.topLeft(),
pr.bottomRight(),
)
mn_y = hb_tl.y()
mx_y = hb_br.y()
most_left = hb_tl.x()
most_right = hb_br.x()
# profiler('calc path vertices')
# TODO: if/when we get fast path appends working in the
# `Renderer`, then we might need to actually use this..
# fp = self.fast_path
# if fp:
# fhb = fp.controlPointRect()
# # hb_size = fhb.size() + hb_size
# br = pr.united(fhb)
# br = self._last_step_rect.bottomRight()
# XXX: *was* a way to allow sub-types to extend the
# boundingrect calc, but in the one use case for a step curve
# doesn't seem like we need it as long as the last line segment
# is drawn as it is?
# sbr = self.sub_br
# if sbr:
# # w, h = self.sub_br(w, h)
# sub_br = sbr()
# br = br.united(sub_br)
w = hb_size.width()
h = hb_size.height()
sbr = self.sub_br
if sbr:
w, h = self.sub_br(w, h)
else:
# assume plain line graphic and use
# default unit step in each direction.
ll = self._last_line
y1, y2 = ll.y1(), ll.y2()
x1, x2 = ll.x1(), ll.x2()
ymn = min(y1, y2, mn_y)
ymx = max(y1, y2, mx_y)
most_left = min(x1, x2, most_left)
most_right = max(x1, x2, most_right)
# profiler('calc last line vertices')
# only on a plane line do we include
# and extra index step's worth of width
# since in the step case the end of the curve
# actually terminates earlier so we don't need
# this for the last step.
w += self._last_w
# ll = self._last_line
h += 1 # ll.y2() - ll.y1()
return QRectF(
most_left,
ymn,
most_right - most_left + 1,
ymx,
# br = QPointF(
# self._vr[-1],
# # tl.x() + w,
# tl.y() + h,
# )
br = QRectF(
# top left
# hb.topLeft()
# tl,
QPointF(hb.topLeft()),
# br,
# total size
# QSizeF(hb_size)
# hb_size,
QSizeF(w, h)
)
# print(f'bounding rect: {br}')
return br
def paint(
self,
@ -334,7 +331,7 @@ class Curve(FlowGraphic):
) -> None:
profiler = Profiler(
profiler = pg.debug.Profiler(
msg=f'Curve.paint(): `{self._name}`',
disabled=not pg_profile_enabled(),
ms_threshold=ms_slower_then,
@ -342,14 +339,18 @@ class Curve(FlowGraphic):
sub_paint = self.sub_paint
if sub_paint:
sub_paint(p)
sub_paint(p, profiler)
p.setPen(self.last_step_pen)
p.drawLine(self._last_line)
profiler('last datum `.drawLine()`')
profiler('.drawLine()')
p.setPen(self._pen)
path = self.path
# cap = path.capacity()
# if cap != self._last_cap:
# print(f'NEW CAPACITY: {self._last_cap} -> {cap}')
# self._last_cap = cap
if path:
p.drawPath(path)
@ -372,30 +373,22 @@ class Curve(FlowGraphic):
self,
path: QPainterPath,
src_data: np.ndarray,
render_data: np.ndarray,
reset: bool,
array_key: str,
index_field: str,
) -> None:
# default line draw last call
# with self.reset_cache():
x = src_data[index_field]
y = src_data[array_key]
x_last = x[-1]
x_2last = x[-2]
x = render_data['index']
y = render_data[array_key]
# draw the "current" step graphic segment so it
# lines up with the "middle" of the current
# (OHLC) sample.
self._last_line = QLineF(
# NOTE: currently we draw in x-domain
# from last datum to current such that
# the end of line touches the "beginning"
# of the current datum step span.
x_2last, y[-2],
x_last, y[-1],
x[-2], y[-2],
x[-1], y[-1],
)
return x, y
@ -407,20 +400,17 @@ class Curve(FlowGraphic):
# (via it's max / min) even when highly zoomed out.
class FlattenedOHLC(Curve):
# avoids strange dragging/smearing artifacts when panning..
cache_mode: int = QGraphicsItem.NoCache
def draw_last_datum(
self,
path: QPainterPath,
src_data: np.ndarray,
render_data: np.ndarray,
reset: bool,
array_key: str,
index_field: str,
) -> None:
lasts = src_data[-2:]
x = lasts[index_field]
x = lasts['index']
y = lasts['close']
# draw the "current" step graphic segment so it
@ -444,9 +434,9 @@ class StepCurve(Curve):
self,
path: QPainterPath,
src_data: np.ndarray,
render_data: np.ndarray,
reset: bool,
array_key: str,
index_field: str,
w: float = 0.5,
@ -455,31 +445,40 @@ class StepCurve(Curve):
# TODO: remove this and instead place all step curve
# updating into pre-path data render callbacks.
# full input data
x = src_data[index_field]
x = src_data['index']
y = src_data[array_key]
x_last = x[-1]
x_2last = x[-2]
y_last = y[-1]
step_size = x_last - x_2last
# lol, commenting this makes step curves
# all "black" for me :eyeroll:..
self._last_line = QLineF(
x_2last, 0,
x_last, 0,
x_last - w, 0,
x_last + w, 0,
)
self._last_step_rect = QRectF(
x_last, 0,
step_size, y_last,
x_last - w, 0,
x_last + w, y_last,
)
return x, y
def sub_paint(
self,
p: QPainter,
profiler: pg.debug.Profiler,
) -> None:
# p.drawLines(*tuple(filter(bool, self._last_step_lines)))
# p.drawRect(self._last_step_rect)
p.fillRect(self._last_step_rect, self._brush)
profiler('.fillRect()')
def sub_br(
self,
path_w: float,
path_h: float,
) -> (float, float):
# passthrough
return path_w, path_h

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

@ -18,27 +18,11 @@
Higher level annotation editors.
"""
from __future__ import annotations
from collections import defaultdict
from typing import (
Optional,
TYPE_CHECKING
)
from dataclasses import dataclass, field
from typing import Optional
import pyqtgraph as pg
from pyqtgraph import (
ViewBox,
Point,
QtCore,
QtWidgets,
)
from PyQt5.QtGui import (
QColor,
)
from PyQt5.QtWidgets import (
QLabel,
)
from pyqtgraph import ViewBox, Point, QtCore, QtGui
from pyqtgraph import functions as fn
from PyQt5.QtCore import QPointF
import numpy as np
@ -46,34 +30,28 @@ import numpy as np
from ._style import hcolor, _font
from ._lines import LevelLine
from ..log import get_logger
from ..data.types import Struct
if TYPE_CHECKING:
from ._chart import GodWidget
log = get_logger(__name__)
class ArrowEditor(Struct):
@dataclass
class ArrowEditor:
godw: GodWidget = None # type: ignore # noqa
_arrows: dict[str, list[pg.ArrowItem]] = {}
chart: 'ChartPlotWidget' # noqa
_arrows: field(default_factory=dict)
def add(
self,
plot: pg.PlotItem,
uid: str,
x: float,
y: float,
color='default',
pointing: Optional[str] = None,
) -> pg.ArrowItem:
'''
Add an arrow graphic to view at given (x, y).
"""Add an arrow graphic to view at given (x, y).
'''
"""
angle = {
'up': 90,
'down': -90,
@ -96,25 +74,25 @@ class ArrowEditor(Struct):
brush=pg.mkBrush(hcolor(color)),
)
arrow.setPos(x, y)
self._arrows.setdefault(uid, []).append(arrow)
self._arrows[uid] = arrow
# render to view
plot.addItem(arrow)
self.chart.plotItem.addItem(arrow)
return arrow
def remove(self, arrow) -> bool:
for linked in self.godw.iter_linked():
linked.chart.plotItem.removeItem(arrow)
self.chart.plotItem.removeItem(arrow)
class LineEditor(Struct):
'''
The great editor of linez.
@dataclass
class LineEditor:
'''The great editor of linez.
'''
godw: GodWidget = None # type: ignore # noqa
_order_lines: defaultdict[str, LevelLine] = defaultdict(list)
chart: 'ChartPlotWidget' = None # type: ignore # noqa
_order_lines: dict[str, LevelLine] = field(default_factory=dict)
_active_staged_line: LevelLine = None
def stage_line(
@ -122,11 +100,11 @@ class LineEditor(Struct):
line: LevelLine,
) -> LevelLine:
'''
Stage a line at the current chart's cursor position
"""Stage a line at the current chart's cursor position
and return it.
'''
"""
# add a "staged" cursor-tracking line to view
# and cash it in a a var
if self._active_staged_line:
@ -137,25 +115,17 @@ class LineEditor(Struct):
return line
def unstage_line(self) -> LevelLine:
'''
Inverse of ``.stage_line()``.
"""Inverse of ``.stage_line()``.
'''
cursor = self.godw.get_cursor()
if not cursor:
return None
"""
# chart = self.chart._cursor.active_plot
# # chart.setCursor(QtCore.Qt.ArrowCursor)
cursor = self.chart.linked.cursor
# delete "staged" cursor tracking line from view
line = self._active_staged_line
if line:
try:
cursor._trackers.remove(line)
except KeyError:
# when the current cursor doesn't have said line
# registered (probably means that user held order mode
# key while panning to another view) then we just
# ignore the remove error.
pass
line.delete()
self._active_staged_line = None
@ -163,58 +133,55 @@ class LineEditor(Struct):
# show the crosshair y line and label
cursor.show_xhair()
def submit_lines(
def submit_line(
self,
lines: list[LevelLine],
line: LevelLine,
uuid: str,
) -> LevelLine:
# staged_line = self._active_staged_line
# if not staged_line:
# raise RuntimeError("No line is currently staged!?")
staged_line = self._active_staged_line
if not staged_line:
raise RuntimeError("No line is currently staged!?")
# for now, until submission reponse arrives
for line in lines:
line.hide_labels()
# register for later lookup/deletion
self._order_lines[uuid] += lines
self._order_lines[uuid] = line
return lines
return line
def commit_line(self, uuid: str) -> list[LevelLine]:
'''
Commit a "staged line" to view.
def commit_line(self, uuid: str) -> LevelLine:
"""Commit a "staged line" to view.
Submits the line graphic under the cursor as a (new) permanent
graphic in view.
'''
lines = self._order_lines[uuid]
if lines:
for line in lines:
"""
try:
line = self._order_lines[uuid]
except KeyError:
log.warning(f'No line for {uuid} could be found?')
return
else:
line.show_labels()
line.hide_markers()
log.debug(f'Level active for level: {line.value()}')
# TODO: other flashy things to indicate the order is active
return lines
log.debug(f'Level active for level: {line.value()}')
return line
def lines_under_cursor(self) -> list[LevelLine]:
'''
Get the line(s) under the cursor position.
"""Get the line(s) under the cursor position.
'''
"""
# Delete any hoverable under the cursor
return self.godw.get_cursor()._hovered
return self.chart.linked.cursor._hovered
def all_lines(self) -> list[LevelLine]:
all_lines = []
for lines in list(self._order_lines.values()):
all_lines.extend(lines)
return all_lines
def all_lines(self) -> tuple[LevelLine]:
return tuple(self._order_lines.values())
def remove_line(
self,
@ -229,30 +196,29 @@ class LineEditor(Struct):
'''
# try to look up line from our registry
lines = self._order_lines.pop(uuid, None)
if lines:
cursor = self.godw.get_cursor()
if cursor:
for line in lines:
line = self._order_lines.pop(uuid, line)
if line:
# if hovered remove from cursor set
cursor = self.chart.linked.cursor
hovered = cursor._hovered
if line in hovered:
hovered.remove(line)
log.debug(f'deleting {line} with oid: {uuid}')
line.delete()
# make sure the xhair doesn't get left off
# just because we never got a un-hover event
cursor.show_xhair()
log.debug(f'deleting {line} with oid: {uuid}')
line.delete()
else:
log.warning(f'Could not find line for {line}')
return lines
return line
class SelectRect(QtWidgets.QGraphicsRectItem):
class SelectRect(QtGui.QGraphicsRectItem):
def __init__(
self,
@ -261,12 +227,12 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
) -> None:
super().__init__(0, 0, 1, 1)
# self.rbScaleBox = QGraphicsRectItem(0, 0, 1, 1)
# self.rbScaleBox = QtGui.QGraphicsRectItem(0, 0, 1, 1)
self.vb = viewbox
self._chart: 'ChartPlotWidget' = None # noqa
# override selection box color
color = QColor(hcolor(color))
color = QtGui.QColor(hcolor(color))
self.setPen(fn.mkPen(color, width=1))
color.setAlpha(66)
self.setBrush(fn.mkBrush(color))
@ -274,7 +240,7 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
self.hide()
self._label = None
label = self._label = QLabel()
label = self._label = QtGui.QLabel()
label.setTextFormat(0) # markdown
label.setFont(_font.font)
label.setMargin(0)
@ -311,8 +277,8 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
# TODO: get bg color working
palette.setColor(
self._label.backgroundRole(),
# QColor(chart.backgroundBrush()),
QColor(hcolor('papas_special')),
# QtGui.QColor(chart.backgroundBrush()),
QtGui.QColor(hcolor('papas_special')),
)
def update_on_resize(self, vr, r):
@ -360,7 +326,7 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
self.setPos(r.topLeft())
self.resetTransform()
self.setRect(r)
self.scale(r.width(), r.height())
self.show()
y1, y2 = start_pos.y(), end_pos.y()
@ -377,7 +343,7 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
nbars = ixmx - ixmn + 1
chart = self._chart
data = chart.get_viz(chart.name).shm.array[ixmn:ixmx]
data = chart._flows[chart.name].shm.array[ixmn:ixmx]
if len(data):
std = data['close'].std()

View File

@ -18,11 +18,11 @@
Qt event proxying and processing using ``trio`` mem chans.
"""
from contextlib import asynccontextmanager as acm
from contextlib import asynccontextmanager, AsyncExitStack
from typing import Callable
from pydantic import BaseModel
import trio
from tractor.trionics import gather_contexts
from PyQt5 import QtCore
from PyQt5.QtCore import QEvent, pyqtBoundSignal
from PyQt5.QtWidgets import QWidget
@ -30,8 +30,6 @@ from PyQt5.QtWidgets import (
QGraphicsSceneMouseEvent as gs_mouse,
)
from ..data.types import Struct
MOUSE_EVENTS = {
gs_mouse.GraphicsSceneMousePress,
@ -45,10 +43,13 @@ MOUSE_EVENTS = {
# TODO: maybe consider some constrained ints down the road?
# https://pydantic-docs.helpmanual.io/usage/types/#constrained-types
class KeyboardMsg(Struct):
class KeyboardMsg(BaseModel):
'''Unpacked Qt keyboard event data.
'''
class Config:
arbitrary_types_allowed = True
event: QEvent
etype: int
key: int
@ -56,13 +57,16 @@ class KeyboardMsg(Struct):
txt: str
def to_tuple(self) -> tuple:
return tuple(self.to_dict().values())
return tuple(self.dict().values())
class MouseMsg(Struct):
class MouseMsg(BaseModel):
'''Unpacked Qt keyboard event data.
'''
class Config:
arbitrary_types_allowed = True
event: QEvent
etype: int
button: int
@ -156,7 +160,7 @@ class EventRelay(QtCore.QObject):
return False
@acm
@asynccontextmanager
async def open_event_stream(
source_widget: QWidget,
@ -182,7 +186,7 @@ async def open_event_stream(
source_widget.removeEventFilter(kc)
@acm
@asynccontextmanager
async def open_signal_handler(
signal: pyqtBoundSignal,
@ -207,7 +211,7 @@ async def open_signal_handler(
yield
@acm
@asynccontextmanager
async def open_handlers(
source_widgets: list[QWidget],
@ -216,14 +220,16 @@ async def open_handlers(
**kwargs,
) -> None:
async with (
trio.open_nursery() as n,
gather_contexts([
open_event_stream(widget, event_types, **kwargs)
for widget in source_widgets
]) as streams,
AsyncExitStack() as stack,
):
for widget, event_recv_stream in zip(source_widgets, streams):
for widget in source_widgets:
event_recv_stream = await stack.enter_async_context(
open_event_stream(widget, event_types, **kwargs)
)
n.start_soon(async_handler, widget, event_recv_stream)
yield

View File

@ -20,24 +20,16 @@ Trio - Qt integration
Run ``trio`` in guest mode on top of the Qt event loop.
All global Qt runtime settings are mostly defined here.
"""
from __future__ import annotations
from typing import (
Callable,
Any,
Type,
TYPE_CHECKING,
)
from typing import Tuple, Callable, Dict, Any
import platform
import traceback
# Qt specific
import PyQt5 # noqa
from PyQt5.QtWidgets import (
QWidget,
QMainWindow,
QApplication,
)
import pyqtgraph as pg
from pyqtgraph import QtGui
from PyQt5 import QtCore
# from PyQt5.QtGui import QLabel, QStatusBar
from PyQt5.QtCore import (
pyqtRemoveInputHook,
Qt,
@ -45,19 +37,15 @@ from PyQt5.QtCore import (
)
import qdarkstyle
from qdarkstyle import DarkPalette
# import qdarkgraystyle # TODO: play with it
# import qdarkgraystyle
import trio
from outcome import Error
from ..service import (
maybe_open_pikerd,
get_tractor_runtime_kwargs,
)
from .._daemon import maybe_open_pikerd, _tractor_kwargs
from ..log import get_logger
from ._pg_overrides import _do_overrides
from . import _style
log = get_logger(__name__)
# pyqtgraph global config
@ -84,18 +72,17 @@ if platform.system() == "Windows":
def run_qtractor(
func: Callable,
args: tuple,
main_widget_type: Type[QWidget],
tractor_kwargs: dict[str, Any] = {},
window_type: QMainWindow = None,
args: Tuple,
main_widget: QtGui.QWidget,
tractor_kwargs: Dict[str, Any] = {},
window_type: QtGui.QMainWindow = None,
) -> None:
# avoids annoying message when entering debugger from qt loop
pyqtRemoveInputHook()
app = QApplication.instance()
app = QtGui.QApplication.instance()
if app is None:
app = QApplication([])
app = PyQt5.QtWidgets.QApplication([])
# TODO: we might not need this if it's desired
# to cancel the tractor machinery on Qt loop
@ -169,11 +156,11 @@ def run_qtractor(
# hook into app focus change events
app.focusChanged.connect(window.on_focus_change)
instance = main_widget_type()
instance = main_widget()
instance.window = window
# override tractor's defaults
tractor_kwargs.update(get_tractor_runtime_kwargs())
tractor_kwargs.update(_tractor_kwargs)
# define tractor entrypoint
async def main():
@ -191,7 +178,7 @@ def run_qtractor(
# restrict_keyboard_interrupt_to_checkpoints=True,
)
window.godwidget: GodWidget = instance
window.main_widget = main_widget
window.setCentralWidget(instance)
if is_windows:
window.configure_to_desktop()

1247
piker/ui/_flows.py 100644

File diff suppressed because it is too large Load Diff

View File

@ -619,7 +619,7 @@ class FillStatusBar(QProgressBar):
# color: #19232D;
# width: 10px;
self.setRange(0, int(slots))
self.setRange(0, slots)
self.setValue(value)
@ -644,7 +644,7 @@ def mk_fill_status_bar(
# TODO: calc this height from the ``ChartnPane``
chart_h = round(parent_pane.height() * 5/8)
bar_h = chart_h * 0.375*0.9
bar_h = chart_h * 0.375
# TODO: once things are sized to screen
bar_label_font_size = label_font_size or _font.px_size - 2

View File

@ -27,13 +27,12 @@ from itertools import cycle
from typing import Optional, AsyncGenerator, Any
import numpy as np
import msgspec
from pydantic import create_model
import tractor
import pyqtgraph as pg
import trio
from trio_typing import TaskStatus
from piker.data.types import Struct
from ._axes import PriceAxis
from .._cacheables import maybe_open_context
from ..calc import humanize
@ -42,8 +41,6 @@ from ..data._sharedmem import (
_Token,
try_read,
)
from ..data.feed import Flume
from ..data._source import Symbol
from ._chart import (
ChartPlotWidget,
LinkedSplits,
@ -53,18 +50,14 @@ from ._forms import (
mk_form,
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._volume import (
# tina_vwap,
tina_vwap,
dolla_vlm,
flow_rates,
)
from ..log import get_logger
from .._profile import Profiler
log = get_logger(__name__)
@ -78,14 +71,15 @@ def has_vlm(ohlcv: ShmArray) -> bool:
def update_fsp_chart(
viz,
chart: ChartPlotWidget,
flow,
graphics_name: str,
array_key: Optional[str],
**kwargs,
) -> None:
shm = viz.shm
shm = flow.shm
if not shm:
return
@ -100,15 +94,18 @@ def update_fsp_chart(
# update graphics
# NOTE: this does a length check internally which allows it
# staying above the last row check below..
viz.update_graphics()
chart.update_graphics_from_flow(
graphics_name,
array_key=array_key or graphics_name,
**kwargs,
)
# XXX: re: ``array_key``: fsp func names must be unique meaning we
# can't have duplicates of the underlying data even if multiple
# sub-charts reference it under different 'named charts'.
# read from last calculated value and update any label
last_val_sticky = viz.plot.getAxis(
'right')._stickies.get(graphics_name)
last_val_sticky = chart._ysticks.get(graphics_name)
if last_val_sticky:
last = last_row[array_key]
last_val_sticky.update_from_data(-1, last)
@ -156,13 +153,12 @@ async def open_fsp_sidepane(
)
# https://pydantic-docs.helpmanual.io/usage/models/#dynamic-model-creation
FspConfig = msgspec.defstruct(
"Point",
[('name', name)] + list(params.items()),
bases=(Struct,),
FspConfig = create_model(
'FspConfig',
name=name,
**params,
)
model = FspConfig(name=name, **params)
sidepane.model = model
sidepane.model = FspConfig()
# just a logger for now until we get fsp configs up and running.
async def settings_change(
@ -192,7 +188,7 @@ async def open_fsp_actor_cluster(
from tractor._clustering import open_actor_cluster
# profiler = Profiler(
# profiler = pg.debug.Profiler(
# delayed=False,
# disabled=False
# )
@ -209,12 +205,12 @@ async def open_fsp_actor_cluster(
async def run_fsp_ui(
linkedsplits: LinkedSplits,
flume: Flume,
shm: ShmArray,
started: trio.Event,
target: Fsp,
conf: dict[str, dict],
loglevel: str,
# profiler: Profiler,
# profiler: pg.debug.Profiler,
# _quote_throttle_rate: int = 58,
) -> None:
@ -246,11 +242,9 @@ async def run_fsp_ui(
else:
chart = linkedsplits.subplots[overlay_with]
shm = flume.rt_shm
chart.draw_curve(
name,
shm,
flume,
name=name,
shm=shm,
overlay=True,
color='default_light',
array_key=name,
@ -260,9 +254,8 @@ async def run_fsp_ui(
else:
# create a new sub-chart widget for this fsp
chart = linkedsplits.add_plot(
name,
shm,
flume,
name=name,
shm=shm,
array_key=name,
sidepane=sidepane,
@ -282,10 +275,9 @@ async def run_fsp_ui(
# profiler(f'fsp:{name} chart created')
# first UI update, usually from shm pushed history
viz = chart.get_viz(array_key)
update_fsp_chart(
chart,
viz,
chart._flows[array_key],
name,
array_key=array_key,
)
@ -312,7 +304,7 @@ async def run_fsp_ui(
# level_line(chart, 70, orient_v='bottom')
# level_line(chart, 80, orient_v='top')
chart.view._set_yrange(viz=viz)
chart.view._set_yrange()
# done() # status updates
# profiler(f'fsp:{func_name} starting update loop')
@ -353,9 +345,6 @@ async def run_fsp_ui(
# last = time.time()
# TODO: maybe this should be our ``Viz`` type since it maps
# one flume to the next? The machinery for task/actor mgmt should
# be part of the instantiation API?
class FspAdmin:
'''
Client API for orchestrating FSP actors and displaying
@ -367,7 +356,7 @@ class FspAdmin:
tn: trio.Nursery,
cluster: dict[str, tractor.Portal],
linked: LinkedSplits,
flume: Flume,
src_shm: ShmArray,
) -> None:
self.tn = tn
@ -379,11 +368,7 @@ class FspAdmin:
tuple[tractor.MsgStream, ShmArray]
] = {}
self._flow_registry: dict[_Token, str] = {}
# TODO: make this a `.src_flume` and add
# a `dst_flume`?
# (=> but then wouldn't this be the most basic `Viz`?)
self.flume = flume
self.src_shm = src_shm
def rr_next_portal(self) -> tractor.Portal:
name, portal = next(self._rr_next_actor)
@ -396,7 +381,7 @@ class FspAdmin:
complete: trio.Event,
started: trio.Event,
fqsn: str,
dst_fsp_flume: Flume,
dst_shm: ShmArray,
conf: dict,
target: Fsp,
loglevel: str,
@ -417,10 +402,9 @@ class FspAdmin:
# data feed key
fqsn=fqsn,
# TODO: pass `Flume.to_msg()`s here?
# mems
src_shm_token=self.flume.rt_shm.token,
dst_shm_token=dst_fsp_flume.rt_shm.token,
src_shm_token=self.src_shm.token,
dst_shm_token=dst_shm.token,
# target
ns_path=ns_path,
@ -437,14 +421,12 @@ class FspAdmin:
ctx.open_stream() as stream,
):
dst_fsp_flume.stream: tractor.MsgStream = stream
# register output data
self._registry[
(fqsn, ns_path)
] = (
stream,
dst_fsp_flume.rt_shm,
dst_shm,
complete
)
@ -458,9 +440,7 @@ class FspAdmin:
# if the chart isn't hidden try to update
# the data on screen.
if not self.linked.isHidden():
log.debug(
f'Re-syncing graphics for fsp: {ns_path}'
)
log.debug(f'Re-syncing graphics for fsp: {ns_path}')
self.linked.graphics_cycle(
trigger_all=True,
prepend_update_index=info['first'],
@ -479,9 +459,9 @@ class FspAdmin:
worker_name: Optional[str] = None,
loglevel: str = 'info',
) -> (Flume, trio.Event):
) -> (ShmArray, trio.Event):
fqsn = self.flume.symbol.fqsn
fqsn = self.linked.symbol.front_fqsn()
# allocate an output shm array
key, dst_shm, opened = maybe_mk_fsp_shm(
@ -489,36 +469,16 @@ class FspAdmin:
target=target,
readonly=True,
)
portal = self.cluster.get(worker_name) or self.rr_next_portal()
provider_tag = portal.channel.uid
symbol = Symbol(
key=key,
broker_info={
provider_tag: {'asset_type': 'fsp'},
},
)
dst_fsp_flume = Flume(
symbol=symbol,
_rt_shm_token=dst_shm.token,
first_quote={},
# set to 0 presuming for now that we can't load
# FSP history (though we should eventually).
izero_hist=0,
izero_rt=0,
)
self._flow_registry[(
self.flume.rt_shm._token,
target.name
)] = dst_shm._token
self._flow_registry[
(self.src_shm._token, target.name)
] = dst_shm._token
# if not opened:
# raise RuntimeError(
# f'Already started FSP `{fqsn}:{func_name}`'
# )
portal = self.cluster.get(worker_name) or self.rr_next_portal()
complete = trio.Event()
started = trio.Event()
self.tn.start_soon(
@ -527,13 +487,13 @@ class FspAdmin:
complete,
started,
fqsn,
dst_fsp_flume,
dst_shm,
conf,
target,
loglevel,
)
return dst_fsp_flume, started
return dst_shm, started
async def open_fsp_chart(
self,
@ -545,7 +505,7 @@ class FspAdmin:
) -> (trio.Event, ChartPlotWidget):
flume, started = await self.start_engine_task(
shm, started = await self.start_engine_task(
target,
conf,
loglevel,
@ -557,7 +517,7 @@ class FspAdmin:
run_fsp_ui,
self.linked,
flume,
shm,
started,
target,
@ -571,7 +531,7 @@ class FspAdmin:
@acm
async def open_fsp_admin(
linked: LinkedSplits,
flume: Flume,
src_shm: ShmArray,
**kwargs,
) -> AsyncGenerator[dict, dict[str, tractor.Portal]]:
@ -592,7 +552,7 @@ async def open_fsp_admin(
tn,
cluster_map,
linked,
flume,
src_shm,
)
try:
yield admin
@ -606,7 +566,7 @@ async def open_fsp_admin(
async def open_vlm_displays(
linked: LinkedSplits,
flume: Flume,
ohlcv: ShmArray,
dvlm: bool = True,
task_status: TaskStatus[ChartPlotWidget] = trio.TASK_STATUS_IGNORED,
@ -628,8 +588,6 @@ async def open_vlm_displays(
sig = inspect.signature(flow_rates.func)
params = sig.parameters
ohlcv: ShmArray = flume.rt_shm
async with (
open_fsp_sidepane(
linked, {
@ -649,7 +607,7 @@ async def open_vlm_displays(
}
},
) as sidepane,
open_fsp_admin(linked, flume) as admin,
open_fsp_admin(linked, ohlcv) as admin,
):
# TODO: support updates
# period_field = sidepane.fields['period']
@ -657,21 +615,12 @@ async def open_vlm_displays(
# str(period_param.default)
# )
# use slightly less light (then bracket) gray
# for volume from "main exchange" and a more "bluey"
# gray for "dark" vlm.
vlm_color = 'i3'
dark_vlm_color = 'charcoal'
# built-in vlm which we plot ASAP since it's
# usually data provided directly with OHLC history.
shm = ohlcv
# ohlc_chart = linked.chart
vlm_chart = linked.add_plot(
chart = linked.add_plot(
name='volume',
shm=shm,
flume=flume,
array_key='volume',
sidepane=sidepane,
@ -684,47 +633,63 @@ async def open_vlm_displays(
# the curve item internals are pretty convoluted.
style='step',
)
vlm_viz = vlm_chart._vizs['volume']
# force 0 to always be in view
def multi_maxmin(
names: list[str],
) -> tuple[float, float]:
mx = 0
for name in names:
mxmn = chart.maxmin(name=name)
if mxmn:
ymax = mxmn[1]
if ymax > mx:
mx = ymax
return 0, mx
chart.view.maxmin = partial(multi_maxmin, names=['volume'])
# TODO: fix the x-axis label issue where if you put
# the axis on the left it's totally not lined up...
# show volume units value on LHS (for dinkus)
# vlm_chart.hideAxis('right')
# vlm_chart.showAxis('left')
# chart.hideAxis('right')
# chart.showAxis('left')
# send back new chart to caller
task_status.started(vlm_chart)
task_status.started(chart)
# should **not** be the same sub-chart widget
assert vlm_chart.name != linked.chart.name
assert chart.name != linked.chart.name
# sticky only on sub-charts atm
last_val_sticky = vlm_chart.plotItem.getAxis(
'right')._stickies.get(vlm_chart.name)
last_val_sticky = chart._ysticks[chart.name]
# read from last calculated value
value = shm.array['volume'][-1]
last_val_sticky.update_from_data(-1, value)
_, _, vlm_curve = vlm_chart.update_graphics_from_flow(
vlm_curve = chart.update_graphics_from_flow(
'volume',
# shm.array,
)
# size view to data once at outset
vlm_chart.view._set_yrange(
viz=vlm_viz
)
chart.view._set_yrange()
# add axis title
axis = vlm_chart.getAxis('right')
axis = chart.getAxis('right')
axis.set_title(' vlm')
if dvlm:
tasks_ready = []
# spawn and overlay $ vlm on the same subchart
dvlm_flume, started = await admin.start_engine_task(
dvlm_shm, started = await admin.start_engine_task(
dolla_vlm,
{ # fsp engine conf
@ -743,7 +708,7 @@ async def open_vlm_displays(
# FIXME: we should error on starting the same fsp right
# since it might collide with existing shm.. or wait we
# had this before??
# dolla_vlm
# dolla_vlm,
tasks_ready.append(started)
# profiler(f'created shm for fsp actor: {display_name}')
@ -757,29 +722,22 @@ async def open_vlm_displays(
# XXX: the main chart already contains a vlm "units" axis
# so here we add an overlay wth a y-range in
# $ liquidity-value units (normally a fiat like USD).
dvlm_pi = vlm_chart.overlay_plotitem(
dvlm_pi = chart.overlay_plotitem(
'dolla_vlm',
index=0, # place axis on inside (nearest to chart)
axis_title=' $vlm',
axis_side='left',
axis_side='right',
axis_kwargs={
'typical_max_str': ' 100.0 M ',
'formatter': partial(
humanize,
digits=2,
),
'text_color': vlm_color,
},
)
# TODO: should this maybe be implicit based on input args to
# `.overlay_plotitem()` above?
dvlm_pi.hideAxis('bottom')
# all to be overlayed curve names
dvlm_fields = [
fields = [
'dolla_vlm',
'dark_vlm',
]
@ -792,18 +750,32 @@ async def open_vlm_displays(
'dark_trade_rate',
]
group_mxmn = partial(
multi_maxmin,
# keep both regular and dark vlm in view
names=fields,
# names=fields + dvlm_rate_fields,
)
# add custom auto range handler
dvlm_pi.vb._maxmin = group_mxmn
# use slightly less light (then bracket) gray
# for volume from "main exchange" and a more "bluey"
# gray for "dark" vlm.
vlm_color = 'i3'
dark_vlm_color = 'charcoal'
# add dvlm (step) curves to common view
def chart_curves(
names: list[str],
pi: pg.PlotItem,
shm: ShmArray,
flume: Flume,
step_mode: bool = False,
style: str = 'solid',
) -> None:
for name in names:
if 'dark' in name:
color = dark_vlm_color
elif 'rate' in name:
@ -811,13 +783,9 @@ async def open_vlm_displays(
else:
color = 'bracket'
assert isinstance(shm, ShmArray)
assert isinstance(flume, Flume)
viz = vlm_chart.draw_curve(
name,
shm,
flume,
curve, _ = chart.draw_curve(
name=name,
shm=shm,
array_key=name,
overlay=pi,
color=color,
@ -825,24 +793,29 @@ async def open_vlm_displays(
style=style,
pi=pi,
)
assert viz.plot is pi
# TODO: we need a better API to do this..
# specially store ref to shm for lookup in display loop
# since only a placeholder of `None` is entered in
# ``.draw_curve()``.
flow = chart._flows[name]
assert flow.plot is pi
chart_curves(
dvlm_fields,
fields,
dvlm_pi,
dvlm_flume.rt_shm,
dvlm_flume,
dvlm_shm,
step_mode=True,
)
# spawn flow rates fsp **ONLY AFTER** the 'dolla_vlm' fsp is
# up since this one depends on it.
fr_flume, started = await admin.start_engine_task(
fr_shm, started = await admin.start_engine_task(
flow_rates,
{ # fsp engine conf
'func_name': 'flow_rates',
'zero_on_step': True,
'zero_on_step': False,
},
# loglevel,
)
@ -851,7 +824,7 @@ async def open_vlm_displays(
# chart_curves(
# dvlm_rate_fields,
# dvlm_pi,
# fr_flume.rt_shm,
# fr_shm,
# )
# TODO: is there a way to "sync" the dual axes such that only
@ -860,24 +833,24 @@ async def open_vlm_displays(
# displayed and the curves are effectively the same minus
# liquidity events (well at least on low OHLC periods - 1s).
vlm_curve.hide()
vlm_chart.removeItem(vlm_curve)
vlm_viz = vlm_chart._vizs['volume']
vlm_viz.render = False
chart.removeItem(vlm_curve)
vflow = chart._flows['volume']
vflow.render = False
# avoid range sorting on volume once disabled
vlm_chart.view.disable_auto_yrange()
chart.view.disable_auto_yrange()
# Trade rate overlay
# XXX: requires an additional overlay for
# a trades-per-period (time) y-range.
tr_pi = vlm_chart.overlay_plotitem(
tr_pi = chart.overlay_plotitem(
'trade_rates',
# TODO: dynamically update period (and thus this axis?)
# title from user input.
axis_title='clears',
axis_side='left',
axis_side='left',
axis_kwargs={
'typical_max_str': ' 10.0 M ',
'formatter': partial(
@ -888,13 +861,17 @@ async def open_vlm_displays(
},
)
tr_pi.hideAxis('bottom')
# add custom auto range handler
tr_pi.vb.maxmin = partial(
multi_maxmin,
# keep both regular and dark vlm in view
names=trade_rate_fields,
)
chart_curves(
trade_rate_fields,
tr_pi,
fr_flume.rt_shm,
fr_flume,
fr_shm,
# step_mode=True,
# dashed line to represent "individual trades" being
@ -928,7 +905,7 @@ async def open_vlm_displays(
async def start_fsp_displays(
linked: LinkedSplits,
flume: Flume,
ohlcv: ShmArray,
group_status_key: str,
loglevel: str,
@ -963,7 +940,7 @@ async def start_fsp_displays(
# },
# },
}
profiler = Profiler(
profiler = pg.debug.Profiler(
delayed=False,
disabled=False
)
@ -971,10 +948,7 @@ async def start_fsp_displays(
async with (
# NOTE: this admin internally opens an actor cluster
open_fsp_admin(
linked,
flume,
) as admin,
open_fsp_admin(linked, ohlcv) as admin,
):
statuses = []
for target, conf in fsp_conf.items():

View File

@ -20,13 +20,8 @@ Chart view box primitives
"""
from __future__ import annotations
from contextlib import asynccontextmanager
from functools import partial
import time
from typing import (
Optional,
Callable,
TYPE_CHECKING,
)
from typing import Optional, Callable
import pyqtgraph as pg
# from pyqtgraph.GraphicsScene import mouseEvents
@ -38,16 +33,11 @@ import numpy as np
import trio
from ..log import get_logger
from .._profile import Profiler
from .._profile import pg_profile_enabled, ms_slower_then
# from ._style import _min_points_to_show
from ._editors import SelectRect
from . import _event
if TYPE_CHECKING:
from ._chart import ChartPlotWidget
from ._dataviz import Viz
log = get_logger(__name__)
@ -85,6 +75,7 @@ async def handle_viewmode_kb_inputs(
pressed: set[str] = set()
last = time.time()
trigger_mode: str
action: str
on_next_release: Optional[Callable] = None
@ -150,16 +141,13 @@ async def handle_viewmode_kb_inputs(
Qt.Key_Space,
}
):
godw = view._chart.linked.godwidget
godw.hist_linked.resize_sidepanes(from_linked=godw.rt_linked)
godw.search.focus()
view._chart.linked.godwidget.search.focus()
# esc and ctrl-c
if key == Qt.Key_Escape or (ctrl and key == Qt.Key_C):
# ctrl-c as cancel
# https://forum.qt.io/topic/532/how-to-catch-ctrl-c-on-a-widget/9
view.select_box.clear()
view.linked.focus()
# cancel order or clear graphics
if key == Qt.Key_C or key == Qt.Key_Delete:
@ -190,17 +178,17 @@ async def handle_viewmode_kb_inputs(
if key in pressed:
pressed.remove(key)
# QUERY/QUOTE MODE
# ----------------
# QUERY/QUOTE MODE #
if {Qt.Key_Q}.intersection(pressed):
view.linked.cursor.in_query_mode = True
view.linkedsplits.cursor.in_query_mode = True
else:
view.linked.cursor.in_query_mode = False
view.linkedsplits.cursor.in_query_mode = False
# SELECTION MODE
# --------------
if shift:
if view.state['mouseMode'] == ViewBox.PanMode:
view.setMouseMode(ViewBox.RectMode)
@ -221,27 +209,18 @@ async def handle_viewmode_kb_inputs(
# ORDER MODE
# ----------
# live vs. dark trigger + an action {buy, sell, alert}
order_keys_pressed = ORDER_MODE.intersection(pressed)
if order_keys_pressed:
# TODO: it seems like maybe the composition should be
# reversed here? Like, maybe we should have the nav have
# access to the pos state and then make encapsulated logic
# that shows the right stuff on screen instead or order mode
# and position-related abstractions doing this?
# show the pp size label only if there is
# a non-zero pos existing
tracker = order_mode.current_pp
if tracker.live_pp.size:
tracker.nav.show()
# show the pp size label
order_mode.current_pp.show()
# TODO: show pp config mini-params in status bar widget
# mode.pp_config.show()
trigger_type: str = 'dark'
if (
# 's' for "submit" to activate "live" order
Qt.Key_S in pressed or
@ -249,6 +228,9 @@ async def handle_viewmode_kb_inputs(
):
trigger_type: str = 'live'
else:
trigger_type: str = 'dark'
# order mode trigger "actions"
if Qt.Key_D in pressed: # for "damp eet"
action = 'sell'
@ -277,8 +259,8 @@ async def handle_viewmode_kb_inputs(
Qt.Key_S in pressed or
order_keys_pressed or
Qt.Key_O in pressed
)
and key in NUMBER_LINE
) and
key in NUMBER_LINE
):
# hot key to set order slots size.
# change edit field to current number line value,
@ -296,7 +278,7 @@ async def handle_viewmode_kb_inputs(
else: # none active
# hide pp label
order_mode.current_pp.nav.hide_info()
order_mode.current_pp.hide_info()
# if none are pressed, remove "staged" level
# line under cursor position
@ -337,6 +319,7 @@ async def handle_viewmode_mouse(
):
# when in order mode, submit execution
# msg.event.accept()
# breakpoint()
view.order_mode.submit_order()
@ -353,6 +336,16 @@ class ChartView(ViewBox):
'''
mode_name: str = 'view'
# "relay events" for making overlaid views work.
# NOTE: these MUST be defined here (and can't be monkey patched
# on later) due to signal construction requiring refs to be
# in place during the run of meta-class machinery.
mouseDragEventRelay = QtCore.Signal(object, object, object)
wheelEventRelay = QtCore.Signal(object, object, object)
event_relay_source: 'Optional[ViewBox]' = None
relays: dict[str, QtCore.Signal] = {}
def __init__(
self,
@ -374,6 +367,7 @@ class ChartView(ViewBox):
)
# for "known y-range style"
self._static_yrange = static_yrange
self._maxmin = None
# disable vertical scrolling
self.setMouseEnabled(
@ -381,8 +375,8 @@ class ChartView(ViewBox):
y=True,
)
self.linked = None
self._chart: ChartPlotWidget | None = None # noqa
self.linkedsplits = None
self._chart: 'ChartPlotWidget' = None # noqa
# add our selection box annotator
self.select_box = SelectRect(self)
@ -393,7 +387,6 @@ class ChartView(ViewBox):
self.setFocusPolicy(QtCore.Qt.StrongFocus)
self._ic = None
self._yranger: Callable | None = None
def start_ic(
self,
@ -404,11 +397,8 @@ class ChartView(ViewBox):
'''
if self._ic is None:
try:
self.chart.pause_all_feeds()
self._ic = trio.Event()
except RuntimeError:
pass
def signal_ic(
self,
@ -421,12 +411,9 @@ class ChartView(ViewBox):
'''
if self._ic:
try:
self._ic.set()
self._ic = None
self.chart.resume_all_feeds()
except RuntimeError:
pass
@asynccontextmanager
async def open_async_input_handler(
@ -454,18 +441,29 @@ class ChartView(ViewBox):
yield self
@property
def chart(self) -> ChartPlotWidget: # type: ignore # noqa
def chart(self) -> 'ChartPlotWidget': # type: ignore # noqa
return self._chart
@chart.setter
def chart(self, chart: ChartPlotWidget) -> None: # type: ignore # noqa
def chart(self, chart: 'ChartPlotWidget') -> None: # type: ignore # noqa
self._chart = chart
self.select_box.chart = chart
if self._maxmin is None:
self._maxmin = chart.maxmin
@property
def maxmin(self) -> Callable:
return self._maxmin
@maxmin.setter
def maxmin(self, callback: Callable) -> None:
self._maxmin = callback
def wheelEvent(
self,
ev,
axis=None,
relayed_from: ChartView = None,
):
'''
Override "center-point" location for scrolling.
@ -476,34 +474,27 @@ class ChartView(ViewBox):
TODO: PR a method into ``pyqtgraph`` to make this configurable
'''
linked = self.linked
if (
not linked
):
return
if axis in (0, 1):
mask = [False, False]
mask[axis] = self.state['mouseEnabled'][axis]
else:
mask = self.state['mouseEnabled'][:]
chart = self.linked.chart
chart = self.linkedsplits.chart
# don't zoom more then the min points setting
viz = chart.get_viz(chart.name)
vl, lbar, rbar, vr = viz.bars_range()
l, lbar, rbar, r = chart.bars_range()
# vl = r - l
# TODO: max/min zoom limits incorporating time step size.
# rl = vr - vl
# if ev.delta() > 0 and rl <= _min_points_to_show:
# log.warning("Max zoom bruh...")
# if ev.delta() > 0 and vl <= _min_points_to_show:
# log.debug("Max zoom bruh...")
# return
# if (
# ev.delta() < 0
# and rl >= len(chart._vizs[chart.name].shm.array) + 666
# and vl >= len(chart._flows[chart.name].shm.array) + 666
# ):
# log.warning("Min zoom bruh...")
# log.debug("Min zoom bruh...")
# return
# actual scaling factor
@ -534,17 +525,49 @@ class ChartView(ViewBox):
self.scaleBy(s, center)
else:
# use right-most point of current curve graphic
xl = viz.graphics.x_last()
focal = min(
xl,
vr,
# center = pg.Point(
# fn.invertQTransform(self.childGroup.transform()).map(ev.pos())
# )
# XXX: scroll "around" the right most element in the view
# which stays "pinned" in place.
# furthest_right_coord = self.boundingRect().topRight()
# yaxis = pg.Point(
# fn.invertQTransform(
# self.childGroup.transform()
# ).map(furthest_right_coord)
# )
# This seems like the most "intuitive option, a hybrid of
# tws and tv styles
last_bar = pg.Point(int(rbar)) + 1
ryaxis = chart.getAxis('right')
r_axis_x = ryaxis.pos().x()
end_of_l1 = pg.Point(
round(
chart.cv.mapToView(
pg.Point(r_axis_x - chart._max_l1_line_len)
# QPointF(chart._max_l1_line_len, 0)
).x()
)
) # .x()
# self.state['viewRange'][0][1] = end_of_l1
# focal = pg.Point((last_bar.x() + end_of_l1)/2)
focal = min(
last_bar,
end_of_l1,
key=lambda p: p.x()
)
# focal = pg.Point(last_bar.x() + end_of_l1)
self._resetTarget()
# NOTE: scroll "around" the right most datum-element in view
# gives the feeling of staying "pinned" in place.
self.scaleBy(s, focal)
# XXX: the order of the next 2 lines i'm pretty sure
@ -570,8 +593,10 @@ class ChartView(ViewBox):
self,
ev,
axis: Optional[int] = None,
relayed_from: ChartView = None,
) -> None:
pos = ev.pos()
lastPos = ev.lastPos()
dif = pos - lastPos
@ -641,10 +666,10 @@ class ChartView(ViewBox):
# PANNING MODE
else:
try:
# XXX: WHY
ev.accept()
self.start_ic()
except RuntimeError:
pass
# if self._ic is None:
# self.chart.pause_all_feeds()
# self._ic = trio.Event()
@ -672,9 +697,6 @@ class ChartView(ViewBox):
# self._ic = None
# self.chart.resume_all_feeds()
# XXX: WHY
ev.accept()
# WEIRD "RIGHT-CLICK CENTER ZOOM" MODE
elif button & QtCore.Qt.RightButton:
@ -720,12 +742,7 @@ class ChartView(ViewBox):
*,
yrange: Optional[tuple[float, float]] = None,
viz: Viz | None = None,
# NOTE: this value pairs (more or less) with L1 label text
# height offset from from the bid/ask lines.
range_margin: float = 0.09,
range_margin: float = 0.06,
bars_range: Optional[tuple[int, int, int, int]] = None,
# flag to prevent triggering sibling charts from the same linked
@ -744,7 +761,7 @@ class ChartView(ViewBox):
'''
name = self.name
# print(f'YRANGE ON {name}')
profiler = Profiler(
profiler = pg.debug.Profiler(
msg=f'`ChartView._set_yrange()`: `{name}`',
disabled=not pg_profile_enabled(),
ms_threshold=ms_slower_then,
@ -778,28 +795,18 @@ class ChartView(ViewBox):
# XXX: only compute the mxmn range
# if none is provided as input!
if not yrange:
if not viz:
breakpoint()
out = viz.maxmin()
if out is None:
log.warning(f'No yrange provided for {name}!?')
return
(
ixrng,
_,
yrange
) = out
profiler(f'`{self.name}:Viz.maxmin()` -> {ixrng}=>{yrange}')
# flow = chart._flows[name]
yrange = self._maxmin()
if yrange is None:
log.warning(f'No yrange provided for {name}!?')
print(f"WTF NO YRANGE {name}")
return
ylow, yhigh = yrange
profiler(f'callback ._maxmin(): {yrange}')
# view margins: stay within a % of the "true range"
diff = yhigh - ylow
ylow = ylow - (diff * range_margin)
@ -819,55 +826,54 @@ class ChartView(ViewBox):
def enable_auto_yrange(
self,
viz: Viz,
src_vb: Optional[ChartView] = None,
) -> None:
'''
Assign callbacks for rescaling and resampling y-axis data
automatically based on data contents and ``ViewBox`` state.
Assign callback for rescaling y-axis automatically
based on data contents and ``ViewBox`` state.
'''
if src_vb is None:
src_vb = self
if self._yranger is None:
self._yranger = partial(
self._set_yrange,
viz=viz,
)
# splitter(s) resizing
src_vb.sigResized.connect(self._set_yrange)
# widget-UIs/splitter(s) resizing
src_vb.sigResized.connect(self._yranger)
# mouse wheel doesn't emit XRangeChanged
src_vb.sigRangeChangedManually.connect(self._yranger)
# re-sampling trigger:
# TODO: a smarter way to avoid calling this needlessly?
# 2 things i can think of:
# - register downsample-able graphics specially and only
# iterate those.
# - only register this when certain downsample-able graphics are
# - only register this when certain downsampleable graphics are
# "added to scene".
src_vb.sigRangeChangedManually.connect(
self.maybe_downsample_graphics
)
# mouse wheel doesn't emit XRangeChanged
src_vb.sigRangeChangedManually.connect(self._set_yrange)
# src_vb.sigXRangeChanged.connect(self._set_yrange)
# src_vb.sigXRangeChanged.connect(
# self.maybe_downsample_graphics
# )
def disable_auto_yrange(self) -> None:
# XXX: not entirely sure why we can't de-reg this..
self.sigResized.disconnect(
self._yranger,
self._set_yrange,
)
self.sigRangeChangedManually.disconnect(
self._yranger,
)
self.sigRangeChangedManually.disconnect(
self.maybe_downsample_graphics
)
self.sigRangeChangedManually.disconnect(
self._set_yrange,
)
# self.sigXRangeChanged.disconnect(self._set_yrange)
# self.sigXRangeChanged.disconnect(
# self.maybe_downsample_graphics
# )
def x_uppx(self) -> float:
'''
@ -876,7 +882,7 @@ class ChartView(ViewBox):
graphics items which are our children.
'''
graphics = [f.graphics for f in self._chart._vizs.values()]
graphics = [f.graphics for f in self._chart._flows.values()]
if not graphics:
return 0
@ -889,9 +895,10 @@ class ChartView(ViewBox):
def maybe_downsample_graphics(
self,
autoscale_overlays: bool = False,
autoscale_overlays: bool = True,
):
profiler = Profiler(
profiler = pg.debug.Profiler(
msg=f'ChartView.maybe_downsample_graphics() for {self.name}',
disabled=not pg_profile_enabled(),
@ -905,14 +912,10 @@ class ChartView(ViewBox):
# TODO: a faster single-loop-iterator way of doing this XD
chart = self._chart
plots = {chart.name: chart}
linked = self.linked
if linked:
plots |= linked.subplots
linked = self.linkedsplits
plots = linked.subplots | {chart.name: chart}
for chart_name, chart in plots.items():
for name, flow in chart._vizs.items():
for name, flow in chart._flows.items():
if (
not flow.render
@ -920,24 +923,25 @@ class ChartView(ViewBox):
# XXX: super important to be aware of this.
# or not flow.graphics.isVisible()
):
# print(f'skipping {flow.name}')
continue
# pass in no array which will read and render from the last
# passed array (normally provided by the display loop.)
chart.update_graphics_from_flow(name)
chart.update_graphics_from_flow(
name,
use_vr=True,
)
# for each overlay on this chart auto-scale the
# y-range to max-min values.
# if autoscale_overlays:
# overlay = chart.pi_overlay
# if overlay:
# for pi in overlay.overlays:
# pi.vb._set_yrange(
# # TODO: get the range once up front...
# # bars_range=br,
# viz=pi.viz,
# )
# profiler('autoscaled linked plots')
if autoscale_overlays:
overlay = chart.pi_overlay
if overlay:
for pi in overlay.overlays:
pi.vb._set_yrange(
# TODO: get the range once up front...
# bars_range=br,
)
profiler('autoscaled linked plots')
profiler(f'<{chart_name}>.update_graphics_from_flow({name})')

View File

@ -26,24 +26,22 @@ from PyQt5.QtCore import QPointF
from ._axes import YAxisLabel
from ._style import hcolor
from ._pg_overrides import PlotItem
class LevelLabel(YAxisLabel):
'''
Y-axis (vertically) oriented, horizontal label that sticks to
"""Y-axis (vertically) oriented, horizontal label that sticks to
where it's placed despite chart resizing and supports displaying
multiple fields.
TODO: replace the rectangle-text part with our new ``Label`` type.
'''
_x_br_offset: float = -16
_y_txt_h_scaling: float = 2
"""
_x_margin = 0
_y_margin = 0
# adjustment "further away from" anchor point
_x_offset = 0
_x_offset = 9
_y_offset = 0
# fields to be displayed in the label string
@ -59,12 +57,12 @@ class LevelLabel(YAxisLabel):
chart,
parent,
color: str = 'default_light',
color: str = 'bracket',
orient_v: str = 'bottom',
orient_h: str = 'right',
orient_h: str = 'left',
opacity: float = 1,
opacity: float = 0,
# makes order line labels offset from their parent axis
# such that they don't collide with the L1/L2 lines/prices
@ -100,15 +98,13 @@ class LevelLabel(YAxisLabel):
self._h_shift = {
'left': -1.,
'right': 0.,
'right': 0.
}[orient_h]
self.fields = self._fields.copy()
# ensure default format fields are in correct
self.set_fmt_str(self._fmt_str, self.fields)
self.setZValue(10)
@property
def color(self):
return self._hcolor
@ -116,10 +112,7 @@ class LevelLabel(YAxisLabel):
@color.setter
def color(self, color: str) -> None:
self._hcolor = color
self._pen = self.pen = pg.mkPen(
hcolor(color),
width=3,
)
self._pen = self.pen = pg.mkPen(hcolor(color))
def update_on_resize(self, vr, r):
"""Tiis is a ``.sigRangeChanged()`` handler.
@ -131,16 +124,15 @@ class LevelLabel(YAxisLabel):
self,
fields: dict = None,
) -> None:
'''
Update the label's text contents **and** position from
"""Update the label's text contents **and** position from
a view box coordinate datum.
'''
"""
self.fields.update(fields)
level = self.fields['level']
# map "level" to local coords
abs_xy = self._pi.mapFromView(QPointF(0, level))
abs_xy = self._chart.mapFromView(QPointF(0, level))
self.update_label(
abs_xy,
@ -157,7 +149,7 @@ class LevelLabel(YAxisLabel):
h, w = self.set_label_str(fields)
if self._adjust_to_l1:
self._x_offset = self._pi.chart_widget._max_l1_line_len
self._x_offset = self._chart._max_l1_line_len
self.setPos(QPointF(
self._h_shift * (w + self._x_offset),
@ -182,8 +174,7 @@ class LevelLabel(YAxisLabel):
fields: dict,
):
# use space as e3 delim
self.label_str = self._fmt_str.format(
**fields).replace(',', ' ')
self.label_str = self._fmt_str.format(**fields).replace(',', ' ')
br = self.boundingRect()
h, w = br.height(), br.width()
@ -196,14 +187,14 @@ class LevelLabel(YAxisLabel):
self,
p: QtGui.QPainter,
rect: QtCore.QRectF
) -> None:
p.setPen(self._pen)
rect = self.rect
if self._orient_v == 'bottom':
lp, rp = rect.topLeft(), rect.topRight()
# p.drawLine(rect.topLeft(), rect.topRight())
elif self._orient_v == 'top':
lp, rp = rect.bottomLeft(), rect.bottomRight()
@ -217,11 +208,6 @@ class LevelLabel(YAxisLabel):
])
)
p.fillRect(
self.rect,
self.bg_color,
)
def highlight(self, pen) -> None:
self._pen = pen
self.update()
@ -250,46 +236,43 @@ class L1Label(LevelLabel):
# Set a global "max L1 label length" so we can
# look it up on order lines and adjust their
# labels not to overlap with it.
chart = self._pi.chart_widget
chart = self._chart
chart._max_l1_line_len: float = max(
chart._max_l1_line_len,
w,
w
)
return h, w
class L1Labels:
'''
Level 1 bid ask labels for dynamic update on price-axis.
"""Level 1 bid ask labels for dynamic update on price-axis.
'''
"""
def __init__(
self,
plotitem: PlotItem,
chart: 'ChartPlotWidget', # noqa
digits: int = 2,
size_digits: int = 3,
font_size: str = 'small',
) -> None:
chart = self.chart = plotitem.chart_widget
self.chart = chart
raxis = plotitem.getAxis('right')
raxis = chart.getAxis('right')
kwargs = {
'chart': plotitem,
'chart': chart,
'parent': raxis,
'opacity': .9,
'opacity': 1,
'font_size': font_size,
'fg_color': 'default_light',
'bg_color': chart.view_color, # normally 'papas_special'
'fg_color': chart.pen_color,
'bg_color': chart.view_color,
}
# TODO: add humanized source-asset
# info format.
fmt_str = (
' {size:.{size_digits}f} u'
# '{level:,.{level_digits}f} '
' {size:.{size_digits}f} x '
'{level:,.{level_digits}f} '
)
fields = {
'level': 0,
@ -302,17 +285,12 @@ class L1Labels:
orient_v='bottom',
**kwargs,
)
bid.set_fmt_str(
fmt_str='\n' + fmt_str,
fields=fields,
)
bid.set_fmt_str(fmt_str=fmt_str, fields=fields)
bid.show()
ask = self.ask_label = L1Label(
orient_v='top',
**kwargs,
)
ask.set_fmt_str(
fmt_str=fmt_str,
fields=fields)
ask.set_fmt_str(fmt_str=fmt_str, fields=fields)
ask.show()

View File

@ -233,36 +233,6 @@ class Label:
def delete(self) -> None:
self.vb.scene().removeItem(self.txt)
# NOTE: pulled out from ``ChartPlotWidget`` from way way old code.
# def _label_h(self, yhigh: float, ylow: float) -> float:
# # compute contents label "height" in view terms
# # to avoid having data "contents" overlap with them
# if self._labels:
# label = self._labels[self.name][0]
# rect = label.itemRect()
# tl, br = rect.topLeft(), rect.bottomRight()
# vb = self.plotItem.vb
# try:
# # on startup labels might not yet be rendered
# top, bottom = (vb.mapToView(tl).y(), vb.mapToView(br).y())
# # XXX: magic hack, how do we compute exactly?
# label_h = (top - bottom) * 0.42
# except np.linalg.LinAlgError:
# label_h = 0
# else:
# label_h = 0
# # print(f'label height {self.name}: {label_h}')
# if label_h > yhigh - ylow:
# label_h = 0
# print(f"bounds (ylow, yhigh): {(ylow, yhigh)}")
class FormatLabel(QLabel):
'''

View File

@ -18,14 +18,9 @@
Lines for orders, alerts, L2.
"""
from __future__ import annotations
from functools import partial
from math import floor
from typing import (
Optional,
Callable,
TYPE_CHECKING,
)
from typing import Optional, Callable
import pyqtgraph as pg
from pyqtgraph import Point, functions as fn
@ -42,9 +37,6 @@ from ..calc import humanize
from ._label import Label
from ._style import hcolor, _font
if TYPE_CHECKING:
from ._cursor import Cursor
# TODO: probably worth investigating if we can
# make .boundingRect() faster:
@ -92,7 +84,7 @@ class LevelLine(pg.InfiniteLine):
self._marker = None
self.only_show_markers_on_hover = only_show_markers_on_hover
self.track_marker_pos: bool = False
self.show_markers: bool = True # presuming the line is hovered at init
# should line go all the way to far end or leave a "margin"
# space for other graphics (eg. L1 book)
@ -130,9 +122,6 @@ class LevelLine(pg.InfiniteLine):
self._y_incr_mult = 1 / chart.linked.symbol.tick_size
self._right_end_sc: float = 0
# use px caching
self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
def txt_offsets(self) -> tuple[int, int]:
return 0, 0
@ -227,23 +216,20 @@ class LevelLine(pg.InfiniteLine):
y: float
) -> None:
'''
Chart coordinates cursor tracking callback.
'''Chart coordinates cursor tracking callback.
this is called by our ``Cursor`` type once this line is set to
track the cursor: for every movement this callback is invoked to
reposition the line with the current view coordinates.
'''
self.movable = True
self.set_level(y) # implictly calls reposition handler
def mouseDragEvent(self, ev):
'''
Override the ``InfiniteLine`` handler since we need more
"""Override the ``InfiniteLine`` handler since we need more
detailed control and start end signalling.
'''
"""
cursor = self._chart.linked.cursor
# hide y-crosshair
@ -295,20 +281,10 @@ class LevelLine(pg.InfiniteLine):
# show y-crosshair again
cursor.show_xhair()
def get_cursor(self) -> Optional[Cursor]:
chart = self._chart
cur = chart.linked.cursor
if self in cur._hovered:
return cur
return None
def delete(self) -> None:
'''
Remove this line from containing chart/view/scene.
"""Remove this line from containing chart/view/scene.
'''
"""
scene = self.scene()
if scene:
for label in self._labels:
@ -322,8 +298,9 @@ class LevelLine(pg.InfiniteLine):
# remove from chart/cursor states
chart = self._chart
cur = self.get_cursor()
if cur:
cur = chart.linked.cursor
if self in cur._hovered:
cur._hovered.remove(self)
chart.plotItem.removeItem(self)
@ -331,8 +308,8 @@ class LevelLine(pg.InfiniteLine):
def mouseDoubleClickEvent(
self,
ev: QtGui.QMouseEvent,
) -> None:
# TODO: enter labels edit mode
print(f'double click {ev}')
@ -357,22 +334,30 @@ class LevelLine(pg.InfiniteLine):
line_end, marker_right, r_axis_x = self._chart.marker_right_points()
# (legacy) NOTE: at one point this seemed slower when moving around
# order lines.. not sure if that's still true or why but we've
# dropped the original hacky `.pain()` transform stuff for inf
# line markers now - check the git history if it needs to be
# reverted.
if self._marker:
if self.track_marker_pos:
# make the line end at the marker's x pos
line_end = marker_right = self._marker.pos().x()
if self.show_markers and self.markers:
p.setPen(self.pen)
qgo_draw_markers(
self.markers,
self.pen.color(),
p,
vb_left,
vb_right,
marker_right,
)
# marker_size = self.markers[0][2]
self._maxMarkerSize = max([m[2] / 2. for m in self.markers])
# this seems slower when moving around
# order lines.. not sure wtf is up with that.
# for now we're just using it on the position line.
elif self._marker:
# TODO: make this label update part of a scene-aware-marker
# composed annotation
self._marker.setPos(
QPointF(marker_right, self.scene_y())
)
if hasattr(self._marker, 'label'):
self._marker.label.update()
@ -394,14 +379,16 @@ class LevelLine(pg.InfiniteLine):
def hide(self) -> None:
super().hide()
mkr = self._marker
if mkr:
mkr.hide()
if self._marker:
self._marker.hide()
# needed for ``order_line()`` lines currently
self._marker.label.hide()
def show(self) -> None:
super().show()
if self._marker:
self._marker.show()
# self._marker.label.show()
def scene_y(self) -> float:
return self.getViewBox().mapFromView(
@ -434,10 +421,6 @@ class LevelLine(pg.InfiniteLine):
return path
@property
def marker(self) -> LevelMarker:
return self._marker
def hoverEvent(self, ev):
'''
Mouse hover callback.
@ -446,16 +429,17 @@ class LevelLine(pg.InfiniteLine):
cur = self._chart.linked.cursor
# hovered
if (
not ev.isExit()
and ev.acceptDrags(QtCore.Qt.LeftButton)
):
if (not ev.isExit()) and ev.acceptDrags(QtCore.Qt.LeftButton):
# if already hovered we don't need to run again
if self.mouseHovering is True:
return
if self.only_show_markers_on_hover:
self.show_markers()
self.show_markers = True
if self._marker:
self._marker.show()
# highlight if so configured
if self.highlight_on_hover:
@ -498,7 +482,11 @@ class LevelLine(pg.InfiniteLine):
cur._hovered.remove(self)
if self.only_show_markers_on_hover:
self.hide_markers()
self.show_markers = False
if self._marker:
self._marker.hide()
self._marker.label.hide()
if self not in cur._trackers:
cur.show_xhair(y_label_level=self.value())
@ -510,15 +498,6 @@ class LevelLine(pg.InfiniteLine):
self.update()
def hide_markers(self) -> None:
if self._marker:
self._marker.hide()
self._marker.label.hide()
def show_markers(self) -> None:
if self._marker:
self._marker.show()
def level_line(
@ -539,10 +518,9 @@ def level_line(
**kwargs,
) -> LevelLine:
'''
Convenience routine to add a styled horizontal line to a plot.
"""Convenience routine to add a styled horizontal line to a plot.
'''
"""
hl_color = color + '_light' if highlight_on_hover else color
line = LevelLine(
@ -724,7 +702,7 @@ def order_line(
marker = LevelMarker(
chart=chart,
style=marker_style,
get_level=line.value, # callback
get_level=line.value,
size=marker_size,
keep_in_view=False,
)
@ -733,8 +711,7 @@ def order_line(
marker = line.add_marker(marker)
# XXX: DON'T COMMENT THIS!
# this fixes it the artifact issue!
# .. of course, bounding rect stuff
# this fixes it the artifact issue! .. of course, bounding rect stuff
line._maxMarkerSize = marker_size
assert line._marker is marker
@ -755,8 +732,7 @@ def order_line(
if action != 'alert':
# add a partial position label if we also added a level
# marker
# add a partial position label if we also added a level marker
pp_size_label = Label(
view=view,
color=line.color,
@ -790,9 +766,9 @@ def order_line(
# XXX: without this the pp proportion label next the marker
# seems to lag? this is the same issue we had with position
# lines which we handle with ``.update_graphcis()``.
# marker._on_paint=lambda marker: pp_size_label.update()
marker._on_paint = lambda marker: pp_size_label.update()
# XXX: THIS IS AN UNTYPED MONKEY PATCH!?!?!
marker.label = label
# sanity check

View File

@ -1,108 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# 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/>.
"""
Notifications utils.
"""
import os
import platform
import subprocess
from typing import Optional
import trio
from ..log import get_logger
from ..clearing._messages import (
Status,
)
log = get_logger(__name__)
_dbus_uid: Optional[str] = ''
async def notify_from_ems_status_msg(
msg: Status,
duration: int = 3000,
is_subproc: bool = False,
) -> None:
'''
Send a linux desktop notification.
Handle subprocesses by discovering the dbus user id
on first call.
'''
if platform.system() != "Linux":
return
# TODO: this in another task?
# not sure if this will ever be a bottleneck,
# we probably could do graphics stuff first tho?
if is_subproc:
global _dbus_uid
su = os.environ.get('SUDO_USER')
if (
not _dbus_uid
and su
):
# TODO: use `trio` but we need to use nursery.start()
# to use pipes?
# result = await trio.run_process(
result = subprocess.run(
[
'id',
'-u',
su,
],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
# check=True
)
_dbus_uid = result.stdout.decode("utf-8").replace('\n', '')
os.environ['DBUS_SESSION_BUS_ADDRESS'] = (
f'unix:path=/run/user/{_dbus_uid}/bus'
)
try:
result = await trio.run_process(
[
'notify-send',
'-u', 'normal',
'-t', f'{duration}',
'piker',
# TODO: add in standard fill/exec info that maybe we
# pack in a broker independent way?
f"'{msg.pformat()}'",
],
capture_stdout=True,
capture_stderr=True,
check=False,
)
if result.returncode != 0:
log.warn(f'Notification daemon crashed stderr: {result.stderr}')
log.runtime(result)
except FileNotFoundError:
log.warn('Tried to send a notification but \'notify-send\' not present')

View File

@ -18,23 +18,23 @@ Super fast OHLC sampling graphics types.
"""
from __future__ import annotations
from typing import (
Optional,
TYPE_CHECKING,
)
import numpy as np
from PyQt5 import (
QtGui,
QtWidgets,
)
from PyQt5.QtCore import (
QLineF,
QRectF,
)
from PyQt5.QtWidgets import QGraphicsItem
import pyqtgraph as pg
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QLineF, QPointF
from PyQt5.QtGui import QPainterPath
from ._curve import FlowGraphic
from .._profile import pg_profile_enabled, ms_slower_then
from ._style import hcolor
from ..log import get_logger
from .._profile import Profiler
if TYPE_CHECKING:
from ._chart import LinkedSplits
log = get_logger(__name__)
@ -43,8 +43,7 @@ log = get_logger(__name__)
def bar_from_ohlc_row(
row: np.ndarray,
# 0.5 is no overlap between arms, 1.0 is full overlap
bar_w: float,
bar_gap: float = 0.16
w: float = 0.43
) -> tuple[QLineF]:
'''
@ -52,7 +51,8 @@ def bar_from_ohlc_row(
OHLC "bar" for use in the "last datum" of a series.
'''
open, high, low, close, index = row
open, high, low, close, index = row[
['open', 'high', 'low', 'close', 'index']]
# TODO: maybe consider using `QGraphicsLineItem` ??
# gives us a ``.boundingRect()`` on the objects which may make
@ -60,11 +60,9 @@ def bar_from_ohlc_row(
# history path faster since it's done in C++:
# https://doc.qt.io/qt-5/qgraphicslineitem.html
mid: float = (bar_w / 2) + index
# high -> low vertical (body) line
if low != high:
hl = QLineF(mid, low, mid, high)
hl = QLineF(index, low, index, high)
else:
# XXX: if we don't do it renders a weird rectangle?
# see below for filtering this later...
@ -75,55 +73,48 @@ def bar_from_ohlc_row(
# the index's range according to the view mapping coordinates.
# open line
o = QLineF(index + bar_gap, open, mid, open)
o = QLineF(index - w, open, index, open)
# close line
c = QLineF(
mid, close,
index + bar_w - bar_gap, close,
)
c = QLineF(index, close, index + w, close)
return [hl, o, c]
class BarItems(FlowGraphic):
class BarItems(pg.GraphicsObject):
'''
"Price range" bars graphics rendered from a OHLC sampled sequence.
'''
# XXX: causes this weird jitter bug when click-drag panning
# where the path curve will awkwardly flicker back and forth?
cache_mode: int = QGraphicsItem.NoCache
def __init__(
self,
*args,
**kwargs,
linked: LinkedSplits,
plotitem: 'pg.PlotItem', # noqa
pen_color: str = 'bracket',
last_bar_color: str = 'bracket',
name: Optional[str] = None,
) -> None:
super().__init__()
self.linked = linked
# XXX: for the mega-lulz increasing width here increases draw
# latency... so probably don't do it until we figure that out.
self._color = pen_color
self.bars_pen = pg.mkPen(hcolor(pen_color), width=1)
self.last_bar_pen = pg.mkPen(hcolor(last_bar_color), width=2)
self._name = name
super().__init__(*args, **kwargs)
self._last_bar_lines: tuple[QLineF, ...] | None = None
self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
self.path = QPainterPath()
self._last_bar_lines: Optional[tuple[QLineF, ...]] = None
def x_last(self) -> None | float:
'''
Return the last most x value of the close line segment
or if not drawn yet, ``None``.
def x_uppx(self) -> int:
# we expect the downsample curve report this.
return 0
'''
if self._last_bar_lines:
close_arm_line = self._last_bar_lines[-1]
return close_arm_line.x2() if close_arm_line else None
else:
return None
# Qt docs: https://doc.qt.io/qt-5/qgraphicsitem.html#boundingRect
def boundingRect(self):
# profiler = Profiler(
# msg=f'BarItems.boundingRect(): `{self._name}`',
# disabled=not pg_profile_enabled(),
# ms_threshold=ms_slower_then,
# )
# Qt docs: https://doc.qt.io/qt-5/qgraphicsitem.html#boundingRect
# TODO: Can we do rect caching to make this faster
# like `pg.PlotCurveItem` does? In theory it's just
@ -143,37 +134,32 @@ class BarItems(FlowGraphic):
hb.topLeft(),
hb.bottomRight(),
)
mn_y = hb_tl.y()
mx_y = hb_br.y()
most_left = hb_tl.x()
most_right = hb_br.x()
# profiler('calc path vertices')
# need to include last bar height or BR will be off
# OHLC line segments: [hl, o, c]
last_lines: tuple[QLineF] | None = self._last_bar_lines
mx_y = hb_br.y()
mn_y = hb_tl.y()
last_lines = self._last_bar_lines
if last_lines:
(
hl,
o,
c,
) = last_lines
most_right = c.x2() + 1
ymx = ymn = c.y2()
body_line = self._last_bar_lines[0]
if body_line:
mx_y = max(mx_y, max(body_line.y1(), body_line.y2()))
mn_y = min(mn_y, min(body_line.y1(), body_line.y2()))
if hl:
y1, y2 = hl.y1(), hl.y2()
ymn = min(y1, y2)
ymx = max(y1, y2)
mx_y = max(ymx, mx_y)
mn_y = min(ymn, mn_y)
# profiler('calc last bar vertices')
return QtCore.QRectF(
return QRectF(
most_left,
# top left
QPointF(
hb_tl.x(),
mn_y,
most_right - most_left + 1,
mx_y - mn_y,
),
# bottom right
QPointF(
hb_br.x() + 1,
mx_y,
)
)
def paint(
@ -184,7 +170,7 @@ class BarItems(FlowGraphic):
) -> None:
profiler = Profiler(
profiler = pg.debug.Profiler(
disabled=not pg_profile_enabled(),
ms_threshold=ms_slower_then,
)
@ -197,12 +183,12 @@ class BarItems(FlowGraphic):
# as is necesarry for what's in "view". Not sure if this will
# lead to any perf gains other then when zoomed in to less bars
# in view.
p.setPen(self.last_step_pen)
p.setPen(self.last_bar_pen)
if self._last_bar_lines:
p.drawLines(*tuple(filter(bool, self._last_bar_lines)))
profiler('draw last bar')
p.setPen(self._pen)
p.setPen(self.bars_pen)
p.drawPath(self.path)
profiler(f'draw history path: {self.path.capacity()}')
@ -210,40 +196,29 @@ class BarItems(FlowGraphic):
self,
path: QPainterPath,
src_data: np.ndarray,
render_data: np.ndarray,
reset: bool,
array_key: str,
index_field: str,
) -> None:
# relevant fields
fields: list[str] = [
'index',
'open',
'high',
'low',
'close',
index_field,
]
],
) -> None:
# relevant fields
ohlc = src_data[fields]
# last_row = ohlc[-1:]
last_row = ohlc[-1:]
# individual values
last_row = o, h, l, last, i = ohlc[-1]
# times = src_data['time']
# if times[-1] - times[-2]:
# breakpoint()
index = src_data[index_field]
step_size = index[-1] - index[-2]
last_row = i, o, h, l, last = ohlc[-1]
# generate new lines objects for updatable "current bar"
bg: float = 0.16 * step_size
self._last_bar_lines = bar_from_ohlc_row(
last_row,
bar_w=step_size,
bar_gap=bg,
)
self._last_bar_lines = bar_from_ohlc_row(last_row)
# assert i == graphics.start_index - 1
# assert i == last_index
@ -258,16 +233,10 @@ class BarItems(FlowGraphic):
if l != h: # noqa
if body is None:
body = self._last_bar_lines[0] = QLineF(
i + bg, l,
i + step_size - bg, h,
)
body = self._last_bar_lines[0] = QLineF(i, l, i, h)
else:
# update body
body.setLine(
body.x1(), l,
body.x2(), h,
)
body.setLine(i, l, i, h)
# XXX: pretty sure this is causing an issue where the
# bar has a large upward move right before the next
@ -278,4 +247,4 @@ class BarItems(FlowGraphic):
# date / from some previous sample. It's weird though
# because i've seen it do this to bars i - 3 back?
return ohlc[index_field], ohlc['close']
return ohlc['index'], ohlc['close']

View File

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

View File

@ -18,27 +18,23 @@
Charting overlay helpers.
'''
from collections import defaultdict
from functools import partial
from typing import (
Callable,
Optional,
from typing import Callable, Optional
from pyqtgraph.Qt.QtCore import (
# QObject,
# Signal,
Qt,
# QEvent,
)
from pyqtgraph.graphicsItems.AxisItem import AxisItem
from pyqtgraph.graphicsItems.ViewBox import ViewBox
# from pyqtgraph.graphicsItems.GraphicsWidget import GraphicsWidget
from pyqtgraph.graphicsItems.GraphicsWidget import GraphicsWidget
from pyqtgraph.graphicsItems.PlotItem.PlotItem import PlotItem
from pyqtgraph.Qt.QtCore import (
QObject,
Signal,
QEvent,
Qt,
)
from pyqtgraph.Qt.QtWidgets import (
# QGraphicsGridLayout,
QGraphicsLinearLayout,
)
from pyqtgraph.Qt.QtCore import QObject, Signal, QEvent
from pyqtgraph.Qt.QtWidgets import QGraphicsGridLayout, QGraphicsLinearLayout
from ._interaction import ChartView
__all__ = ["PlotItemOverlay"]
@ -84,20 +80,25 @@ class ComposedGridLayout:
``<axis_name>i`` in the layout.
The ``item: PlotItem`` passed to the constructor's grid layout is
used verbatim as the "main plot" who's view box is given precedence
for input handling. The main plot's axes are removed from its
used verbatim as the "main plot" who's view box is give precedence
for input handling. The main plot's axes are removed from it's
layout and placed in the surrounding exterior layouts to allow for
re-ordering if desired.
'''
def __init__(
self,
pi: PlotItem,
item: PlotItem,
grid: QGraphicsGridLayout,
reverse: bool = False, # insert items to the "center"
) -> None:
self.items: list[PlotItem] = []
# self.grid = grid
self.reverse = reverse
self.pitems: list[PlotItem] = []
self._pi2axes: dict[ # TODO: use a ``bidict`` here?
# TODO: use a ``bidict`` here?
self._pi2axes: dict[
int,
dict[str, AxisItem],
] = {}
@ -119,13 +120,12 @@ class ComposedGridLayout:
if name in ('top', 'bottom'):
orient = Qt.Vertical
elif name in ('left', 'right'):
orient = Qt.Horizontal
layout.setOrientation(orient)
self.insert_plotitem(0, pi)
self.insert(0, item)
# insert surrounding linear layouts into the parent pi's layout
# such that additional axes can be appended arbitrarily without
@ -135,14 +135,13 @@ class ComposedGridLayout:
# TODO: do we need this?
# axis should have been removed during insert above
index = _axes_layout_indices[name]
axis = pi.layout.itemAt(*index)
axis = item.layout.itemAt(*index)
if axis and axis.isVisible():
assert linlayout.itemAt(0) is axis
# XXX: see comment in ``.insert_plotitem()``...
# pi.layout.removeItem(axis)
pi.layout.addItem(linlayout, *index)
layout = pi.layout.itemAt(*index)
# item.layout.removeItem(axis)
item.layout.addItem(linlayout, *index)
layout = item.layout.itemAt(*index)
assert layout is linlayout
def _register_item(
@ -158,32 +157,27 @@ class ComposedGridLayout:
self._pi2axes.setdefault(name, {})[index] = axis
# enter plot into list for index tracking
self.pitems.insert(index, plotitem)
self.items.insert(index, plotitem)
def insert_plotitem(
def insert(
self,
index: int,
plotitem: PlotItem,
) -> tuple[int, list[AxisItem]]:
) -> (int, int):
'''
Place item at index by inserting all axes into the grid
at list-order appropriate position.
'''
if index < 0:
raise ValueError(
'`.insert_plotitem()` only supports an index >= 0'
)
inserted_axes: list[AxisItem] = []
raise ValueError('`insert()` only supports an index >= 0')
# add plot's axes in sequence to the embedded linear layouts
# for each "side" thus avoiding graphics collisions.
for name, axis_info in plotitem.axes.copy().items():
linlayout, axes = self.sides[name]
axis = axis_info['item']
inserted_axes.append(axis)
if axis in axes:
# TODO: re-order using ``.pop()`` ?
@ -196,20 +190,19 @@ class ComposedGridLayout:
if (
not axis.isVisible()
# XXX: we never skip moving the axes for the *root*
# XXX: we never skip moving the axes for the *first*
# plotitem inserted (even if not shown) since we need to
# move all the hidden axes into linear sub-layouts for
# that "central" plot in the overlay. Also if we don't
# do it there's weird geomoetry calc offsets that make
# view coords slightly off somehow .. smh
and not len(self.pitems) == 0
and not len(self.items) == 0
):
continue
# XXX: Remove old axis?
# No, turns out we don't need this?
# DON'T UNLINK IT since we need the original ``ViewBox`` to
# still drive it with events/handlers B)
# XXX: Remove old axis? No, turns out we don't need this?
# DON'T unlink it since we the original ``ViewBox``
# to still drive it B)
# popped = plotitem.removeAxis(name, unlink=False)
# assert axis is popped
@ -225,9 +218,9 @@ class ComposedGridLayout:
self._register_item(index, plotitem)
return (index, inserted_axes)
return index
def append_plotitem(
def append(
self,
item: PlotItem,
@ -239,7 +232,7 @@ class ComposedGridLayout:
'''
# for left and bottom axes we have to first remove
# items and re-insert to maintain a list-order.
return self.insert_plotitem(len(self.pitems), item)
return self.insert(len(self.items), item)
def get_axis(
self,
@ -252,20 +245,20 @@ class ComposedGridLayout:
if axis for that name is not shown.
'''
index = self.pitems.index(plot)
index = self.items.index(plot)
named = self._pi2axes[name]
return named.get(index)
# def pop(
# self,
# item: PlotItem,
def pop(
self,
item: PlotItem,
# ) -> PlotItem:
# '''
# Remove item and restack all axes in list-order.
) -> PlotItem:
'''
Remove item and restack all axes in list-order.
# '''
# raise NotImplementedError
'''
raise NotImplementedError
# Unimplemented features TODO:
@ -286,6 +279,194 @@ class ComposedGridLayout:
# axis?
# TODO: we might want to enabled some kind of manual flag to disable
# this method wrapping during type creation? As example a user could
# definitively decide **not** to enable broadcasting support by
# setting something like ``ViewBox.disable_relays = True``?
def mk_relay_method(
signame: str,
slot: Callable[
[ViewBox,
'QEvent',
Optional[AxisItem]],
None,
],
) -> Callable[
[
ViewBox,
# lol, there isn't really a generic type thanks
# to the rewrite of Qt's event system XD
'QEvent',
'Optional[AxisItem]',
'Optional[ViewBox]', # the ``relayed_from`` arg we provide
],
None,
]:
def maybe_broadcast(
vb: 'ViewBox',
ev: 'QEvent',
axis: 'Optional[int]' = None,
relayed_from: 'ViewBox' = None,
) -> None:
'''
(soon to be) Decorator which makes an event handler
"broadcastable" to overlayed ``GraphicsWidget``s.
Adds relay signals based on the decorated handler's name
and conducts a signal broadcast of the relay signal if there
are consumers registered.
'''
# When no relay source has been set just bypass all
# the broadcast machinery.
if vb.event_relay_source is None:
ev.accept()
return slot(
vb,
ev,
axis=axis,
)
if relayed_from:
assert axis is None
# this is a relayed event and should be ignored (so it does not
# halt/short circuit the graphicscene loop). Further the
# surrounding handler for this signal must be allowed to execute
# and get processed by **this consumer**.
# print(f'{vb.name} rx relayed from {relayed_from.name}')
ev.ignore()
return slot(
vb,
ev,
axis=axis,
)
if axis is not None:
# print(f'{vb.name} handling axis event:\n{str(ev)}')
ev.accept()
return slot(
vb,
ev,
axis=axis,
)
elif (
relayed_from is None
and vb.event_relay_source is vb # we are the broadcaster
and axis is None
):
# Broadcast case: this is a source event which will be
# relayed to attached consumers and accepted after all
# consumers complete their own handling followed by this
# routine's processing. Sequence is,
# - pre-relay to all consumers *first* - ``.emit()`` blocks
# until all downstream relay handlers have run.
# - run the source handler for **this** event and accept
# the event
# Access the "bound signal" that is created
# on the widget type as part of instantiation.
signal = getattr(vb, signame)
# print(f'{vb.name} emitting {signame}')
# TODO/NOTE: we could also just bypass a "relay" signal
# entirely and instead call the handlers manually in
# a loop? This probably is a lot simpler and also doesn't
# have any downside, and allows not touching target widget
# internals.
signal.emit(
ev,
axis,
# passing this demarks a broadcasted/relayed event
vb,
)
# accept event so no more relays are fired.
ev.accept()
# call underlying wrapped method with an extra
# ``relayed_from`` value to denote that this is a relayed
# event handling case.
return slot(
vb,
ev,
axis=axis,
)
return maybe_broadcast
# XXX: :( can't define signals **after** class compile time
# so this is not really useful.
# def mk_relay_signal(
# func,
# name: str = None,
# ) -> Signal:
# (
# args,
# varargs,
# varkw,
# defaults,
# kwonlyargs,
# kwonlydefaults,
# annotations
# ) = inspect.getfullargspec(func)
# # XXX: generate a relay signal with 1 extra
# # argument for a ``relayed_from`` kwarg. Since
# # ``'self'`` is already ignored by signals we just need
# # to count the arguments since we're adding only 1 (and
# # ``args`` will capture that).
# numargs = len(args + list(defaults))
# signal = Signal(*tuple(numargs * [object]))
# signame = name or func.__name__ + 'Relay'
# return signame, signal
def enable_relays(
widget: GraphicsWidget,
handler_names: list[str],
) -> list[Signal]:
'''
Method override helper which enables relay of a particular
``Signal`` from some chosen broadcaster widget to a set of
consumer widgets which should operate their event handlers normally
but instead of signals "relayed" from the broadcaster.
Mostly useful for overlaying widgets that handle user input
that you want to overlay graphically. The target ``widget`` type must
define ``QtCore.Signal``s each with a `'Relay'` suffix for each
name provided in ``handler_names: list[str]``.
'''
signals = []
for name in handler_names:
handler = getattr(widget, name)
signame = name + 'Relay'
# ensure the target widget defines a relay signal
relay = getattr(widget, signame)
widget.relays[signame] = name
signals.append(relay)
method = mk_relay_method(signame, handler)
setattr(widget, name, method)
return signals
enable_relays(
ChartView,
['wheelEvent', 'mouseDragEvent']
)
class PlotItemOverlay:
'''
A composite for managing overlaid ``PlotItem`` instances such that
@ -301,191 +482,86 @@ class PlotItemOverlay:
) -> None:
self.root_plotitem: PlotItem = root_plotitem
self.relay_handlers: defaultdict[
str,
list[Callable],
] = defaultdict(list)
# NOTE: required for scene layering/relaying; this guarantees
# the "root" plot receives priority for interaction
# events/signals.
root_plotitem.vb.setZValue(10)
vb = root_plotitem.vb
vb.event_relay_source = vb # TODO: maybe change name?
vb.setZValue(1000) # XXX: critical for scene layering/relaying
self.layout = ComposedGridLayout(root_plotitem)
self.overlays: list[PlotItem] = []
self.layout = ComposedGridLayout(
root_plotitem,
root_plotitem.layout,
)
self._relays: dict[str, Signal] = {}
@property
def overlays(self) -> list[PlotItem]:
return self.layout.pitems
def add_plotitem(
self,
plotitem: PlotItem,
index: Optional[int] = None,
# event/signal names which will be broadcasted to all added
# (relayee) ``PlotItem``s (eg. ``ViewBox.mouseDragEvent``).
relay_events: list[str] = [],
# TODO: we could also put the ``ViewBox.XAxis``
# style enum here?
# (0,), # link x
# (1,), # link y
# (0, 1), # link both
link_axes: tuple[int] = (),
) -> tuple[int, list[AxisItem]]:
) -> None:
index = index or len(self.overlays)
root = self.root_plotitem
# layout: QGraphicsGridLayout = root.layout
self.overlays.insert(index, plotitem)
vb: ViewBox = plotitem.vb
# mark this consumer overlay as ready to expect relayed events
# from the root plotitem.
vb.event_relay_source = root.vb
# TODO: some sane way to allow menu event broadcast XD
# vb.setMenuEnabled(False)
# wire up any relay signal(s) from the source plot to added
# "overlays". We use a plain loop instead of mucking with
# re-connecting signal/slots which tends to be more invasive and
# harder to implement and provides no measurable performance
# gain.
if relay_events:
for ev_name in relay_events:
relayee_handler: Callable[
[
ViewBox,
# lol, there isn't really a generic type thanks
# to the rewrite of Qt's event system XD
QEvent,
# TODO: inside the `maybe_broadcast()` (soon to be) decorator
# we need have checks that consumers have been attached to
# these relay signals.
if link_axes != (0, 1):
AxisItem | None,
],
None,
] = getattr(vb, ev_name)
sub_handlers: list[Callable] = self.relay_handlers[ev_name]
# on the first registry of a relayed event we pop the
# root's handler and override it to a custom broadcaster
# routine.
if not sub_handlers:
src_handler = getattr(
root.vb,
ev_name,
)
def broadcast(
ev: 'QEvent',
# TODO: drop this viewbox specific input and
# allow a predicate to be passed in by user.
axis: 'Optional[int]' = None,
*,
# these are bound in by the ``partial`` below
# and ensure a unique broadcaster per event.
ev_name: str = None,
src_handler: Callable = None,
relayed_from: 'ViewBox' = None,
# remaining inputs the source handler expects
**kwargs,
) -> None:
'''
Broadcast signal or event: this is a source
event which will be relayed to attached
"relayee" plot item consumers.
The event is accepted halting any further
handlers from being triggered.
Sequence is,
- pre-relay to all consumers *first* - exactly
like how a ``Signal.emit()`` blocks until all
downstream relay handlers have run.
- run the event's source handler event
'''
ev.accept()
# broadcast first to relayees *first*. trigger
# relay of event to all consumers **before**
# processing/consumption in the source handler.
relayed_handlers = self.relay_handlers[ev_name]
assert getattr(vb, ev_name).__name__ == ev_name
# TODO: generalize as an input predicate
if axis is None:
for handler in relayed_handlers:
handler(
ev,
axis=axis,
**kwargs,
)
# run "source" widget's handler last
src_handler(
ev,
axis=axis,
)
# dynamic handler override on the publisher plot
setattr(
root.vb,
ev_name,
partial(
broadcast,
ev_name=ev_name,
src_handler=src_handler
),
)
else:
assert getattr(root.vb, ev_name)
assert relayee_handler not in sub_handlers
# append relayed-to widget's handler to relay table
sub_handlers.append(relayee_handler)
# wire up relay signals
for relay_signal_name, handler_name in vb.relays.items():
# print(handler_name)
# XXX: Signal class attrs are bound after instantiation
# of the defining type, so we need to access that bound
# version here.
signal = getattr(root.vb, relay_signal_name)
handler = getattr(vb, handler_name)
signal.connect(handler)
# link dim-axes to root if requested by user.
# TODO: solve more-then-wanted scaled panning on click drag
# which seems to be due to broadcast. So we probably need to
# disable broadcast when axes are linked in a particular
# dimension?
for dim in link_axes:
# link x and y axes to new view box such that the top level
# viewbox propagates to the root (and whatever other
# plotitem overlays that have been added).
vb.linkView(dim, root.vb)
# => NOTE: in order to prevent "more-then-linear" scaled
# panning moves on (for eg. click-drag) certain range change
# signals (i.e. ``.sigXRangeChanged``), the user needs to be
# careful that any broadcasted ``relay_events`` are are short
# circuited in sub-handlers (aka relayee's) implementations. As
# an example if a ``ViewBox.mouseDragEvent`` is broadcasted, the
# overlayed implementations need to be sure they either don't
# also link the x-axes (by not providing ``link_axes=(0,)``
# above) or that the relayee ``.mouseDragEvent()`` handlers are
# ready to "``return`` early" in the case that
# ``.sigXRangeChanged`` is emitted as part of linked axes.
# For more details on such signalling mechanics peek in
# ``ViewBox.linkView()``.
# make overlaid viewbox impossible to focus since the top
# level should handle all input and relay to overlays.
# NOTE: this was solved with the `setZValue()` above!
# make overlaid viewbox impossible to focus since the top level
# should handle all input and relay to overlays. Note that the
# "root" plot item gettingn interaction priority is configured
# with the ``.setZValue()`` during init.
# TODO: we will probably want to add a "focus" api such that
# a new "top level" ``PlotItem`` can be selected dynamically
# (and presumably the axes dynamically sorted to match).
vb.setFlag(
vb.GraphicsItemFlag.ItemIsFocusable,
False
)
vb.setFocusPolicy(Qt.NoFocus)
# => TODO: add a "focus" api for switching the "top level"
# ``PlotItem`` dynamically.
# append-compose into the layout all axes from this plot
if index is None:
insert_index, axes = self.layout.append_plotitem(plotitem)
else:
insert_index, axes = self.layout.insert_plotitem(index, plotitem)
self.layout.insert(index, plotitem)
plotitem.setGeometry(root.vb.sceneBoundingRect())
@ -503,12 +579,24 @@ class PlotItemOverlay:
root.vb.setFocus()
assert root.vb.focusWidget()
vb.setZValue(100)
# XXX: do we need this? Why would you build then destroy?
def remove_plotitem(self, plotItem: PlotItem) -> None:
'''
Remove this ``PlotItem`` from the overlayed set making not shown
and unable to accept input.
return (
index,
axes,
)
'''
...
# TODO: i think this would be super hot B)
def focus_item(self, plotitem: PlotItem) -> PlotItem:
'''
Apply focus to a contained PlotItem thus making it the "top level"
item in the overlay able to accept peripheral's input from the user
and responsible for zoom and panning control via its ``ViewBox``.
'''
...
def get_axis(
self,
@ -542,9 +630,8 @@ class PlotItemOverlay:
return axes
# XXX: untested as of now.
# TODO: need this as part of selecting a different root/source
# plot to rewire interaction event broadcast dynamically.
# TODO: i guess we need this if you want to detach existing plots
# dynamically? XXX: untested as of now.
def _disconnect_all(
self,
plotitem: PlotItem,
@ -559,22 +646,3 @@ class PlotItemOverlay:
disconnected.append(sig)
return disconnected
# XXX: do we need this? Why would you build then destroy?
# def remove_plotitem(self, plotItem: PlotItem) -> None:
# '''
# Remove this ``PlotItem`` from the overlayed set making not shown
# and unable to accept input.
# '''
# ...
# TODO: i think this would be super hot B)
# def focus_plotitem(self, plotitem: PlotItem) -> PlotItem:
# '''
# Apply focus to a contained PlotItem thus making it the "top level"
# item in the overlay able to accept peripheral's input from the user
# and responsible for zoom and panning control via its ``ViewBox``.
# '''
# ...

View File

@ -0,0 +1,236 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of piker0)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Super fast ``QPainterPath`` generation related operator routines.
"""
from __future__ import annotations
from typing import (
# Optional,
TYPE_CHECKING,
)
import numpy as np
from numpy.lib import recfunctions as rfn
from numba import njit, float64, int64 # , optional
# import pyqtgraph as pg
from PyQt5 import QtGui
# from PyQt5.QtCore import QLineF, QPointF
from ..data._sharedmem import (
ShmArray,
)
# from .._profile import pg_profile_enabled, ms_slower_then
from ._compression import (
ds_m4,
)
if TYPE_CHECKING:
from ._flows import Renderer
def xy_downsample(
x,
y,
uppx,
x_spacer: float = 0.5,
) -> tuple[np.ndarray, np.ndarray]:
# downsample whenever more then 1 pixels per datum can be shown.
# always refresh data bounds until we get diffing
# working properly, see above..
bins, x, y = ds_m4(
x,
y,
uppx,
)
# flatten output to 1d arrays suitable for path-graphics generation.
x = np.broadcast_to(x[:, None], y.shape)
x = (x + np.array(
[-x_spacer, 0, 0, x_spacer]
)).flatten()
y = y.flatten()
return x, y
@njit(
# TODO: for now need to construct this manually for readonly arrays, see
# https://github.com/numba/numba/issues/4511
# ntypes.tuple((float64[:], float64[:], float64[:]))(
# numba_ohlc_dtype[::1], # contiguous
# int64,
# optional(float64),
# ),
nogil=True
)
def path_arrays_from_ohlc(
data: np.ndarray,
start: int64,
bar_gap: float64 = 0.43,
) -> np.ndarray:
'''
Generate an array of lines objects from input ohlc data.
'''
size = int(data.shape[0] * 6)
x = np.zeros(
# data,
shape=size,
dtype=float64,
)
y, c = x.copy(), x.copy()
# TODO: report bug for assert @
# /home/goodboy/repos/piker/env/lib/python3.8/site-packages/numba/core/typing/builtins.py:991
for i, q in enumerate(data[start:], start):
# TODO: ask numba why this doesn't work..
# open, high, low, close, index = q[
# ['open', 'high', 'low', 'close', 'index']]
open = q['open']
high = q['high']
low = q['low']
close = q['close']
index = float64(q['index'])
istart = i * 6
istop = istart + 6
# x,y detail the 6 points which connect all vertexes of a ohlc bar
x[istart:istop] = (
index - bar_gap,
index,
index,
index,
index,
index + bar_gap,
)
y[istart:istop] = (
open,
open,
low,
high,
close,
close,
)
# specifies that the first edge is never connected to the
# prior bars last edge thus providing a small "gap"/"space"
# between bars determined by ``bar_gap``.
c[istart:istop] = (1, 1, 1, 1, 1, 0)
return x, y, c
def gen_ohlc_qpath(
r: Renderer,
data: np.ndarray,
array_key: str, # we ignore this
vr: tuple[int, int],
start: int = 0, # XXX: do we need this?
# 0.5 is no overlap between arms, 1.0 is full overlap
w: float = 0.43,
) -> QtGui.QPainterPath:
'''
More or less direct proxy to ``path_arrays_from_ohlc()``
but with closed in kwargs for line spacing.
'''
x, y, c = path_arrays_from_ohlc(
data,
start,
bar_gap=w,
)
return x, y, c
def ohlc_to_line(
ohlc_shm: ShmArray,
data_field: str,
fields: list[str] = ['open', 'high', 'low', 'close']
) -> tuple[
np.ndarray,
np.ndarray,
]:
'''
Convert an input struct-array holding OHLC samples into a pair of
flattened x, y arrays with the same size (datums wise) as the source
data.
'''
y_out = ohlc_shm.ustruct(fields)
first = ohlc_shm._first.value
last = ohlc_shm._last.value
# write pushed data to flattened copy
y_out[first:last] = rfn.structured_to_unstructured(
ohlc_shm.array[fields]
)
# generate an flat-interpolated x-domain
x_out = (
np.broadcast_to(
ohlc_shm._array['index'][:, None],
(
ohlc_shm._array.size,
# 4, # only ohlc
y_out.shape[1],
),
) + np.array([-0.5, 0, 0, 0.5])
)
assert y_out.any()
return (
x_out,
y_out,
)
def to_step_format(
shm: ShmArray,
data_field: str,
index_field: str = 'index',
) -> tuple[int, np.ndarray, np.ndarray]:
'''
Convert an input 1d shm array to a "step array" format
for use by path graphics generation.
'''
i = shm._array['index'].copy()
out = shm._array[data_field].copy()
x_out = np.broadcast_to(
i[:, None],
(i.size, 2),
) + np.array([-0.5, 0.5])
y_out = np.empty((len(out), 2), dtype=out.dtype)
y_out[:] = out[:, np.newaxis]
# start y at origin level
y_out[0, 0] = 0
return x_out, y_out

View File

@ -15,19 +15,13 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Customization of ``pyqtgraph`` core routines and various types normally
for speedups.
Generally, our does not require "scentific precision" for pixel perfect
view transforms.
Customization of ``pyqtgraph`` core routines to speed up our use mostly
based on not requiring "scentific precision" for pixel perfect view
transforms.
"""
from typing import Optional
import pyqtgraph as pg
from ._axes import Axis
def invertQTransform(tr):
"""Return a QTransform that is the inverse of *tr*.
@ -52,236 +46,3 @@ def _do_overrides() -> None:
"""
# we don't care about potential fp issues inside Qt
pg.functions.invertQTransform = invertQTransform
pg.PlotItem = PlotItem
# enable "QPainterPathPrivate for faster arrayToQPath" from
# https://github.com/pyqtgraph/pyqtgraph/pull/2324
pg.setConfigOption('enableExperimental', True)
# NOTE: the below customized type contains all our changes on a method
# by method basis as per the diff:
# https://github.com/pyqtgraph/pyqtgraph/commit/8e60bc14234b6bec1369ff4192dbfb82f8682920#diff-a2b5865955d2ba703dbc4c35ff01aa761aa28d2aeaac5e68d24e338bc82fb5b1R500
class PlotItem(pg.PlotItem):
'''
Overrides for the core plot object mostly pertaining to overlayed
multi-view management as it relates to multi-axis managment.
This object is the combination of a ``ViewBox`` and multiple
``AxisItem``s and so far we've added additional functionality and
APIs for:
- removal of axes
---
From ``pyqtgraph`` super type docs:
- Manage placement of ViewBox, AxisItems, and LabelItems
- Create and manage a list of PlotDataItems displayed inside the
ViewBox
- Implement a context menu with commonly used display and analysis
options
'''
def __init__(
self,
parent=None,
name=None,
labels=None,
title=None,
viewBox=None,
axisItems=None,
default_axes=['left', 'bottom'],
enableMenu=True,
**kargs
):
super().__init__(
parent=parent,
name=name,
labels=labels,
title=title,
viewBox=viewBox,
axisItems=axisItems,
# default_axes=default_axes,
enableMenu=enableMenu,
kargs=kargs,
)
self.name = name
self.chart_widget = None
# self.setAxisItems(
# axisItems,
# default_axes=default_axes,
# )
# NOTE: this is an entirely new method not in upstream.
def removeAxis(
self,
name: str,
unlink: bool = True,
) -> Optional[pg.AxisItem]:
"""
Remove an axis from the contained axis items
by ```name: str```.
This means the axis graphics object will be removed
from the ``.layout: QGraphicsGridLayout`` as well as unlinked
from the underlying associated ``ViewBox``.
If the ``unlink: bool`` is set to ``False`` then the axis will
stay linked to its view and will only be removed from the
layoutonly be removed from the layout.
If no axis with ``name: str`` is found then this is a noop.
Return the axis instance that was removed.
"""
entry = self.axes.pop(name, None)
if not entry:
return
axis = entry['item']
self.layout.removeItem(axis)
axis.scene().removeItem(axis)
if unlink:
axis.unlinkFromView()
self.update()
return axis
# Why do we need to always have all axes created?
#
# I don't understand this at all.
#
# Everything seems to work if you just always apply the
# set passed to this method **EXCEPT** for some super weird reason
# the view box geometry still computes as though the space for the
# `'bottom'` axis is always there **UNLESS** you always add that
# axis but hide it?
#
# Why in tf would this be the case!?!?
def setAxisItems(
self,
# XXX: yeah yeah, i know we can't use type annots like this yet.
axisItems: Optional[dict[str, pg.AxisItem]] = None,
add_to_layout: bool = True,
default_axes: list[str] = ['left', 'bottom'],
):
"""
Override axis item setting to only
"""
axisItems = axisItems or {}
# XXX: wth is is this even saying?!?
# Array containing visible axis items
# Also containing potentially hidden axes, but they are not
# touched so it does not matter
# visibleAxes = ['left', 'bottom']
# Note that it does not matter that this adds
# some values to visibleAxes a second time
# XXX: uhhh wat^ ..?
visibleAxes = list(default_axes) + list(axisItems.keys())
# TODO: we should probably invert the loop here to not loop the
# predefined "axis name set" and instead loop the `axisItems`
# input and lookup indices from a predefined map.
for name, pos in (
('top', (1, 1)),
('bottom', (3, 1)),
('left', (2, 0)),
('right', (2, 2))
):
if (
name in self.axes and
name in axisItems
):
# we already have an axis entry for this name
# so remove the existing entry.
self.removeAxis(name)
# elif name not in axisItems:
# # this axis entry is not provided in this call
# # so remove any old/existing entry.
# self.removeAxis(name)
# Create new axis
if name in axisItems:
axis = axisItems[name]
if axis.scene() is not None:
if (
name not in self.axes
or axis != self.axes[name]["item"]
):
raise RuntimeError(
"Can't add an axis to multiple plots. Shared axes"
" can be achieved with multiple AxisItem instances"
" and set[X/Y]Link.")
else:
# Set up new axis
# XXX: ok but why do we want to add axes for all entries
# if not desired by the user? The only reason I can see
# adding this is without it there's some weird
# ``ViewBox`` geometry bug.. where a gap for the
# 'bottom' axis is somehow left in?
# axis = pg.AxisItem(orientation=name, parent=self)
axis = Axis(
self,
orientation=name,
parent=self,
)
axis.linkToView(self.vb)
# XXX: shouldn't you already know the ``pos`` from the name?
# Oh right instead of a global map that would let you
# reasily look that up it's redefined over and over and over
# again in methods..
self.axes[name] = {'item': axis, 'pos': pos}
# NOTE: in the overlay case the axis may be added to some
# other layout and should not be added here.
if add_to_layout:
self.layout.addItem(axis, *pos)
# place axis above images at z=0, items that want to draw
# over the axes should be placed at z>=1:
axis.setZValue(0.5)
axis.setFlag(
axis.GraphicsItemFlag.ItemNegativeZStacksBehindParent
)
if name in visibleAxes:
self.showAxis(name, True)
else:
# why do we need to insert all axes to ``.axes`` and
# only hide the ones the user doesn't specify? It all
# seems to work fine without doing this except for this
# weird gap for the 'bottom' axis that always shows up
# in the view box geometry??
self.hideAxis(name)
def updateGrid(
self,
*args,
):
alpha = self.ctrl.gridAlphaSlider.value()
x = alpha if self.ctrl.xGridCheck.isChecked() else False
y = alpha if self.ctrl.yGridCheck.isChecked() else False
for name, dim in (
('top', x),
('bottom', x),
('left', y),
('right', y)
):
if name in self.axes:
self.getAxis(name).setGrid(dim)
# self.getAxis('bottom').setGrid(x)
# self.getAxis('left').setGrid(y)
# self.getAxis('right').setGrid(y)

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