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piker
-----
trading gear for hackers
trading gear for hackers.
|gh_actions|
.. |gh_actions| image:: https://img.shields.io/endpoint.svg?url=https%3A%2F%2Factions-badge.atrox.dev%2Fpikers%2Fpiker%2Fbadge&style=popout-square
:target: https://actions-badge.atrox.dev/piker/pikers/goto
``piker`` is a broker agnostic, next-gen FOSS toolset and runtime for
real-time computational trading targeted at `hardcore Linux users
<comp_trader>`_ .
``piker`` is a broker agnostic, next-gen FOSS toolset for real-time
computational trading targeted at `hardcore Linux users <comp_trader>`_ .
we use much bleeding edge tech including (but not limited to):
we use as much bleeding edge tech as possible including (but not limited to):
- latest python for glue_
- uv_ for packaging and distribution
- trio_ & tractor_ for our distributed `structured concurrency`_ runtime
- Qt_ for pristine low latency UIs
- pyqtgraph_ (which we've extended) for real-time charting and graphics
- ``polars`` ``numpy`` and ``numba`` for redic `fast numerics`_
- `apache arrow and parquet`_ for time-series storage
- trio_ & tractor_ for our distributed, multi-core, real-time streaming
`structured concurrency`_ runtime B)
- Qt_ for pristine high performance UIs
- pyqtgraph_ for real-time charting
- ``polars`` ``numpy`` and ``numba`` for `fast numerics`_
- `apache arrow and parquet`_ for time series history management
persistence and sharing
- (prototyped) techtonicdb_ for L2 book storage
potential projects we might integrate with soon,
- (already prototyped in ) techtonicdb_ for L2 book storage
.. _comp_trader: https://jfaleiro.wordpress.com/2019/10/09/computational-trader/
.. _glue: https://numpy.org/doc/stable/user/c-info.python-as-glue.html#using-python-as-glue
.. _uv: https://docs.astral.sh/uv/
.. |travis| image:: https://img.shields.io/travis/pikers/piker/master.svg
:target: https://travis-ci.org/pikers/piker
.. _trio: https://github.com/python-trio/trio
.. _tractor: https://github.com/goodboy/tractor
.. _structured concurrency: https://trio.discourse.group/
.. _marketstore: https://github.com/alpacahq/marketstore
.. _techtonicdb: https://github.com/0b01/tectonicdb
.. _Qt: https://www.qt.io/
.. _pyqtgraph: https://github.com/pyqtgraph/pyqtgraph
.. _glue: https://numpy.org/doc/stable/user/c-info.python-as-glue.html#using-python-as-glue
.. _apache arrow and parquet: https://arrow.apache.org/faq/
.. _fast numerics: https://zerowithdot.com/python-numpy-and-pandas-performance/
.. _techtonicdb: https://github.com/0b01/tectonicdb
.. _comp_trader: https://jfaleiro.wordpress.com/2019/10/09/computational-trader/
focus and feats:
****************
fitting with these tenets, we're always open to new
framework/lib/service interop suggestions and ideas!
focus and features:
*******************
- 100% federated: your code, your hardware, your data feeds, your broker fills.
- zero web: low latency, native software that doesn't try to re-invent the OS
- maximal **privacy**: prevent brokers and mms from knowing your
planz; smack their spreads with dark volume.
- zero clutter: modal, context oriented UIs that echew minimalism, reduce
thought noise and encourage un-emotion.
- first class parallelism: built from the ground up on next-gen structured concurrency
primitives.
- traders first: broker/exchange/asset-class agnostic
- systems grounded: real-time financial signal processing that will
make any queuing or DSP eng juice their shorts.
- non-tina UX: sleek, powerful keyboard driven interaction with expected use in tiling wms
- data collaboration: every process and protocol is multi-host scalable.
- fight club ready: zero interest in adoption by suits; no corporate friendly license, ever.
- **100% federated**:
your code, your hardware, your data feeds, your broker fills.
fitting with these tenets, we're always open to new framework suggestions and ideas.
- **zero web**:
low latency as a prime objective, native UIs and modern IPC
protocols without trying to re-invent the "OS-as-an-app"..
- **maximal privacy**:
prevent brokers and mms from knowing your planz; smack their
spreads with dark volume from a VPN tunnel.
- **zero clutter**:
modal, context oriented UIs that echew minimalism, reduce thought
noise and encourage un-emotion.
- **first class parallelism**:
built from the ground up on a next-gen structured concurrency
supervision sys.
- **traders first**:
broker/exchange/venue/asset-class/money-sys agnostic
- **systems grounded**:
real-time financial signal processing (fsp) that will make any
queuing or DSP eng juice their shorts.
- **non-tina UX**:
sleek, powerful keyboard driven interaction with expected use in
tiling wms (or maybe even a DDE).
- **data collab at scale**:
every actor-process and protocol is multi-host aware.
- **fight club ready**:
zero interest in adoption by suits; no corporate friendly license,
ever.
building the hottest looking, fastest, most reliable, keyboard
friendly FOSS trading platform is the dream; join the cause.
building the best looking, most reliable, keyboard friendly trading
platform is the dream; join the cause.
a sane install with `uv`
************************
bc why install with `python` when you can faster with `rust` ::
sane install with `poetry`
**************************
TODO!
uv lock
rigorous install on ``nixos`` using ``poetry2nix``
**************************************************
TODO!
hacky install on nixos
**********************
``NixOS`` is our core devs' distro of choice for which we offer
`NixOS` is our core devs' distro of choice for which we offer
a stringently defined development shell envoirment that can be loaded with::
nix-shell default.nix
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
start a chart
*************
run a realtime OHLCV chart stand-alone::
install wild-west style via `pip`
*********************************
``piker`` is currently under heavy pre-alpha development and as such
should be cloned from this repo and hacked on directly.
piker -l info chart btcusdt.spot.binance xmrusdt.spot.kraken
for a development install::
this runs a chart UI (with 1m sampled OHLCV) and shows 2 spot markets from 2 diff cexes
overlayed on the same graph. Use of `piker` without first starting
a daemon (`pikerd` - see below) means there is an implicit spawning of the
multi-actor-runtime (implemented as a `tractor` app).
For additional subsystem feats available through our chart UI see the
various sub-readmes:
- order control using a mouse-n-keyboard UX B)
- cross venue market-pair (what most call "symbol") search, select, overlay Bo
- financial-signal-processing (`piker.fsp`) write-n-reload to sub-chart BO
- src-asset derivatives scan for anal, like the infamous "max pain" XO
git clone git@github.com:pikers/piker.git
cd piker
virtualenv env
source ./env/bin/activate
pip install -r requirements.txt -e .
spawn a daemon standalone
*************************
we call the root actor-process the ``pikerd``. it can be (and is
recommended normally to be) started separately from the ``piker
chart`` program::
check out our charts
********************
bet you weren't expecting this from the foss::
piker -l info -b kraken -b binance chart btcusdt.binance --pdb
this runs the main chart (currently with 1m sampled OHLC) in in debug
mode and you can practice paper trading using the following
micro-manual:
``order_mode`` (
edge triggered activation by any of the following keys,
``mouse-click`` on y-level to submit at that price
):
- ``f``/ ``ctl-f`` to stage buy
- ``d``/ ``ctl-d`` to stage sell
- ``a`` to stage alert
``search_mode`` (
``ctl-l`` or ``ctl-space`` to open,
``ctl-c`` or ``ctl-space`` to close
) :
- begin typing to have symbol search automatically lookup
symbols from all loaded backend (broker) providers
- arrow keys and mouse click to navigate selection
- vi-like ``ctl-[hjkl]`` for navigation
you can also configure your position allocation limits from the
sidepane.
run in distributed mode
***********************
start the service manager and data feed daemon in the background and
connect to it::
pikerd -l info --pdb
the daemon does nothing until a ``piker``-client (like ``piker
chart``) connects and requests some particular sub-system. for
a connecting chart ``pikerd`` will spawn and manage at least,
- a data-feed daemon: ``datad`` which does all the work of comms with
the backend provider (in this case the ``binance`` cex).
- a paper-trading engine instance, ``paperboi.binance``, (if no live
account has been configured) which allows for auto/manual order
control against the live quote stream.
connect your chart::
*using* an actor-service (aka micro-daemon) manager which dynamically
supervises various sub-subsystems-as-services throughout the ``piker``
runtime-stack.
piker -l info -b kraken -b binance chart xmrusdt.binance --pdb
now you can (implicitly) connect your chart::
piker chart btcusdt.spot.binance
since ``pikerd`` was started separately you can now enjoy a persistent
real-time data stream tied to the daemon-tree's lifetime. i.e. the next
time you spawn a chart it will obviously not only load much faster
(since the underlying ``datad.binance`` is left running with its
in-memory IPC data structures) but also the data-feed and any order
mgmt states should be persistent until you finally cancel ``pikerd``.
enjoy persistent real-time data feeds tied to daemon lifetime. the next
time you spawn a chart it will load much faster since the data feed has
been cached and is now always running live in the background until you
kill ``pikerd``.
if anyone asks you what this project is about
*********************************************
you don't talk about it; just use it.
you don't talk about it.
how do i get involved?
@ -165,15 +166,6 @@ enter the matrix.
how come there ain't that many docs
***********************************
i mean we want/need them but building the core right has been higher
prio then marketting (and likely will stay that way Bp).
soo, suck it up bc,
- no one is trying to sell you on anything
- learning the code base is prolly way more valuable
- the UI/UXs are intended to be "intuitive" for any hacker..
we obviously need tonz help so if you want to start somewhere and
can't necessarily write "advanced" concurrent python/rust code, this
helping document literally anything might be the place for you!
suck it up, learn the code; no one is trying to sell you on anything.
also, we need lotsa help so if you want to start somewhere and can't
necessarily write serious code, this might be the place for you!

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@ -1,134 +0,0 @@
with (import <nixpkgs> {});
let
glibStorePath = lib.getLib glib;
zlibStorePath = lib.getLib zlib;
zstdStorePath = lib.getLib zstd;
dbusStorePath = lib.getLib dbus;
libGLStorePath = lib.getLib libGL;
freetypeStorePath = lib.getLib freetype;
qt6baseStorePath = lib.getLib qt6.qtbase;
fontconfigStorePath = lib.getLib fontconfig;
libxkbcommonStorePath = lib.getLib libxkbcommon;
xcbutilcursorStorePath = lib.getLib xcb-util-cursor;
qtpyStorePath = lib.getLib python312Packages.qtpy;
pyqt6StorePath = lib.getLib python312Packages.pyqt6;
pyqt6SipStorePath = lib.getLib python312Packages.pyqt6-sip;
rapidfuzzStorePath = lib.getLib python312Packages.rapidfuzz;
qdarkstyleStorePath = lib.getLib python312Packages.qdarkstyle;
xorgLibX11StorePath = lib.getLib xorg.libX11;
xorgLibxcbStorePath = lib.getLib xorg.libxcb;
xorgxcbutilwmStorePath = lib.getLib xorg.xcbutilwm;
xorgxcbutilimageStorePath = lib.getLib xorg.xcbutilimage;
xorgxcbutilerrorsStorePath = lib.getLib xorg.xcbutilerrors;
xorgxcbutilkeysymsStorePath = lib.getLib xorg.xcbutilkeysyms;
xorgxcbutilrenderutilStorePath = lib.getLib xorg.xcbutilrenderutil;
in
stdenv.mkDerivation {
name = "piker-qt6-uv";
buildInputs = [
# System requirements.
glib
zlib
dbus
zstd
libGL
freetype
qt6.qtbase
libgcc.lib
fontconfig
libxkbcommon
# Xorg requirements
xcb-util-cursor
xorg.libxcb
xorg.libX11
xorg.xcbutilwm
xorg.xcbutilimage
xorg.xcbutilerrors
xorg.xcbutilkeysyms
xorg.xcbutilrenderutil
# Python requirements.
python312Full
python312Packages.uv
python312Packages.qdarkstyle
python312Packages.rapidfuzz
python312Packages.pyqt6
python312Packages.qtpy
];
src = null;
shellHook = ''
set -e
# Set the Qt plugin path
# export QT_DEBUG_PLUGINS=1
QTBASE_PATH="${qt6baseStorePath}/lib"
QT_PLUGIN_PATH="$QTBASE_PATH/qt-6/plugins"
QT_QPA_PLATFORM_PLUGIN_PATH="$QT_PLUGIN_PATH/platforms"
LIB_GCC_PATH="${libgcc.lib}/lib"
GLIB_PATH="${glibStorePath}/lib"
ZSTD_PATH="${zstdStorePath}/lib"
ZLIB_PATH="${zlibStorePath}/lib"
DBUS_PATH="${dbusStorePath}/lib"
LIBGL_PATH="${libGLStorePath}/lib"
FREETYPE_PATH="${freetypeStorePath}/lib"
FONTCONFIG_PATH="${fontconfigStorePath}/lib"
LIB_XKB_COMMON_PATH="${libxkbcommonStorePath}/lib"
XCB_UTIL_CURSOR_PATH="${xcbutilcursorStorePath}/lib"
XORG_LIB_X11_PATH="${xorgLibX11StorePath}/lib"
XORG_LIB_XCB_PATH="${xorgLibxcbStorePath}/lib"
XORG_XCB_UTIL_IMAGE_PATH="${xorgxcbutilimageStorePath}/lib"
XORG_XCB_UTIL_WM_PATH="${xorgxcbutilwmStorePath}/lib"
XORG_XCB_UTIL_RENDER_UTIL_PATH="${xorgxcbutilrenderutilStorePath}/lib"
XORG_XCB_UTIL_KEYSYMS_PATH="${xorgxcbutilkeysymsStorePath}/lib"
XORG_XCB_UTIL_ERRORS_PATH="${xorgxcbutilerrorsStorePath}/lib"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$QTBASE_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$QT_PLUGIN_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$QT_QPA_PLATFORM_PLUGIN_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$LIB_GCC_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$DBUS_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$GLIB_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$ZLIB_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$ZSTD_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$LIBGL_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$FONTCONFIG_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$FREETYPE_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$LIB_XKB_COMMON_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XCB_UTIL_CURSOR_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_LIB_X11_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_LIB_XCB_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_XCB_UTIL_IMAGE_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_XCB_UTIL_WM_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_XCB_UTIL_RENDER_UTIL_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_XCB_UTIL_KEYSYMS_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_XCB_UTIL_ERRORS_PATH"
export LD_LIBRARY_PATH
RPDFUZZ_PATH="${rapidfuzzStorePath}/lib/python3.12/site-packages"
QDRKSTYLE_PATH="${qdarkstyleStorePath}/lib/python3.12/site-packages"
QTPY_PATH="${qtpyStorePath}/lib/python3.12/site-packages"
PYQT6_PATH="${pyqt6StorePath}/lib/python3.12/site-packages"
PYQT6_SIP_PATH="${pyqt6SipStorePath}/lib/python3.12/site-packages"
PATCH="$PATCH:$RPDFUZZ_PATH"
PATCH="$PATCH:$QDRKSTYLE_PATH"
PATCH="$PATCH:$QTPY_PATH"
PATCH="$PATCH:$PYQT6_PATH"
PATCH="$PATCH:$PYQT6_SIP_PATH"
export PATCH
# Install deps
uv lock
'';
}

View File

@ -1,34 +1,28 @@
with (import <nixpkgs> {});
with python310Packages;
stdenv.mkDerivation {
name = "poetry-env";
name = "pip-env";
buildInputs = [
# System requirements.
readline
# TODO: hacky non-poetry install stuff we need to get rid of!!
poetry
# virtualenv
# setuptools
# pip
# Python requirements (enough to get a virtualenv going).
python311Full
virtualenv
setuptools
pip
# obviously, and see below for hacked linking
python311Packages.pyqt5
python311Packages.pyqt5_sip
# python311Packages.qtpy
pyqt5
# Python requirements (enough to get a virtualenv going).
python310Full
# numerics deps
python311Packages.levenshtein
python311Packages.fastparquet
python311Packages.polars
python310Packages.python-Levenshtein
python310Packages.fastparquet
python310Packages.polars
];
# environment.sessionVariables = {
# LD_LIBRARY_PATH = "${pkgs.stdenv.cc.cc.lib}/lib";
# };
src = null;
shellHook = ''
# Allow the use of wheels.
@ -36,12 +30,13 @@ stdenv.mkDerivation {
# Augment the dynamic linker path
export LD_LIBRARY_PATH=$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
poetry install --with uis
if [ ! -d "venv" ]; then
virtualenv venv
fi
poetry shell
source venv/bin/activate
'';
}

View File

@ -19,9 +19,8 @@ services:
# other image tags available:
# https://github.com/waytrade/ib-gateway-docker#supported-tags
# image: waytrade/ib-gateway:1012.2i
image: ghcr.io/gnzsnz/ib-gateway:latest
# 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
network_mode: 'host'

View File

@ -117,57 +117,9 @@ SecondFactorDevice=
# If you use the IBKR Mobile app for second factor authentication,
# and you fail to complete the process before the time limit imposed
# by IBKR, this setting tells IBC whether to automatically restart
# the login sequence, giving you another opportunity to complete
# second factor authentication.
#
# Permitted values are 'yes' and 'no'.
#
# If this setting is not present or has no value, then the value
# of the deprecated ExitAfterSecondFactorAuthenticationTimeout is
# used instead. If this also has no value, then this setting defaults
# to 'no'.
#
# NB: you must be using IBC v3.14.0 or later to use this setting:
# earlier versions ignore it.
ReloginAfterSecondFactorAuthenticationTimeout=
# This setting is only relevant if
# ReloginAfterSecondFactorAuthenticationTimeout is set to 'yes',
# or if ExitAfterSecondFactorAuthenticationTimeout is set to 'yes'.
#
# It controls how long (in seconds) IBC waits for login to complete
# after the user acknowledges the second factor authentication
# alert at the IBKR Mobile app. If login has not completed after
# this time, IBC terminates.
# The default value is 60.
SecondFactorAuthenticationExitInterval=
# This setting specifies the timeout for second factor authentication
# imposed by IB. The value is in seconds. You should not change this
# setting unless you have reason to believe that IB has changed the
# timeout. The default value is 180.
SecondFactorAuthenticationTimeout=180
# DEPRECATED SETTING
# ------------------
#
# ExitAfterSecondFactorAuthenticationTimeout - THIS SETTING WILL BE
# REMOVED IN A FUTURE RELEASE. For IBC version 3.14.0 and later, see
# the notes for ReloginAfterSecondFactorAuthenticationTimeout above.
#
# For IBC versions earlier than 3.14.0: If you use the IBKR Mobile
# app for second factor authentication, and you fail to complete the
# process before the time limit imposed by IBKR, you can use this
# setting to tell IBC to exit: arrangements can then be made to
# automatically restart IBC in order to initiate the login sequence
# afresh. Otherwise, manual intervention at TWS's
# by IBKR, you can use this setting to tell IBC to exit: arrangements
# can then be made to automatically restart IBC in order to initiate
# the login sequence afresh. Otherwise, manual intervention at TWS's
# Second Factor Authentication dialog is needed to complete the
# login.
#
@ -180,18 +132,29 @@ SecondFactorAuthenticationTimeout=180
ExitAfterSecondFactorAuthenticationTimeout=no
# This setting is only relevant if
# ExitAfterSecondFactorAuthenticationTimeout is set to 'yes'.
#
# It controls how long (in seconds) IBC waits for login to complete
# after the user acknowledges the second factor authentication
# alert at the IBKR Mobile app. If login has not completed after
# this time, IBC terminates.
# The default value is 40.
SecondFactorAuthenticationExitInterval=
# Trading Mode
# ------------
#
# This indicates whether the live account or the paper trading
# account corresponding to the supplied credentials is to be used.
# The allowed values are 'live' (the default) and 'paper'.
#
# If this is set to 'live', then the credentials for the live
# account must be supplied. If it is set to 'paper', then either
# the live or the paper-trading credentials may be supplied.
# TWS 955 introduced a new Trading Mode combo box on its login
# dialog. This indicates whether the live account or the paper
# trading account corresponding to the supplied credentials is
# to be used. The allowed values are 'live' (the default) and
# 'paper'. For earlier versions of TWS this setting has no
# effect.
TradingMode=paper
TradingMode=
# Paper-trading Account Warning
@ -225,7 +188,7 @@ AcceptNonBrokerageAccountWarning=yes
#
# The default value is 60.
LoginDialogDisplayTimeout=60
LoginDialogDisplayTimeout=20
@ -254,15 +217,7 @@ LoginDialogDisplayTimeout=60
# but they are acceptable.
#
# The default is the current working directory when IBC is
# started, unless the TWS_SETTINGS_PATH setting in the relevant
# start script is set.
#
# If both this setting and TWS_SETTINGS_PATH are set, then this
# setting takes priority. Note that if they have different values,
# auto-restart will not work.
#
# NB: this setting is now DEPRECATED. You should use the
# TWS_SETTINGS_PATH setting in the relevant start script.
# started.
IbDir=/root/Jts
@ -331,30 +286,13 @@ ExistingSessionDetectedAction=primary
#
# If OverrideTwsApiPort is set to an integer, IBC changes the
# 'Socket port' in TWS's API configuration to that number shortly
# after startup (but note that for the FIX Gateway, this setting is
# actually stored in jts.ini rather than the Gateway's settings
# file). Leaving the setting blank will make no change to
# after startup. Leaving the setting blank will make no change to
# the current setting. This setting is only intended for use in
# certain specialized situations where the port number needs to
# be set dynamically at run-time, and for the FIX Gateway: most
# non-FIX users will never need it, so don't use it unless you know
# you need it.
OverrideTwsApiPort=4000
# Override TWS Master Client ID
# -----------------------------
#
# If OverrideTwsMasterClientID is set to an integer, IBC changes the
# 'Master Client ID' value in TWS's API configuration to that
# value shortly after startup. Leaving the setting blank will make
# no change to the current setting. This setting is only intended
# for use in certain specialized situations where the value needs to
# be set dynamically at run-time: most users will never need it,
# so don't use it unless you know you need it.
OverrideTwsMasterClientID=
; OverrideTwsApiPort=4002
# Read-only Login
@ -364,13 +302,11 @@ OverrideTwsMasterClientID=
# account security programme, the user will not be asked to perform
# the second factor authentication action, and login to TWS will
# occur automatically in read-only mode: in this mode, placing or
# managing orders is not allowed.
#
# If set to 'no', and the user is enrolled in IB's account security
# programme, the second factor authentication process is handled
# according to the Second Factor Authentication Settings described
# elsewhere in this file.
#
# managing orders is not allowed. If set to 'no', and the user is
# enrolled in IB's account security programme, the user must perform
# the relevant second factor authentication action to complete the
# login.
# If the user is not enrolled in IB's account security programme,
# this setting is ignored. The default is 'no'.
@ -390,44 +326,7 @@ ReadOnlyLogin=no
# set the relevant checkbox (this only needs to be done once) and
# not provide a value for this setting.
ReadOnlyApi=
# API Precautions
# ---------------
#
# These settings relate to the corresponding 'Precautions' checkboxes in the
# API section of the Global Configuration dialog.
#
# For all of these, the accepted values are:
# - 'yes' sets the checkbox
# - 'no' clears the checkbox
# - if not set, the existing TWS/Gateway configuration is unchanged
#
# NB: thess settings are really only supplied for the benefit of new TWS
# or Gateway instances that are being automatically installed and
# started without user intervention, or where user settings are not preserved
# between sessions (eg some Docker containers). Where a user is involved, they
# should use the Global Configuration to set the relevant checkboxes and not
# provide values for these settings.
BypassOrderPrecautions=
BypassBondWarning=
BypassNegativeYieldToWorstConfirmation=
BypassCalledBondWarning=
BypassSameActionPairTradeWarning=
BypassPriceBasedVolatilityRiskWarning=
BypassUSStocksMarketDataInSharesWarning=
BypassRedirectOrderWarning=
BypassNoOverfillProtectionPrecaution=
ReadOnlyApi=no
# Market data size for US stocks - lots or shares
@ -482,145 +381,54 @@ AcceptBidAskLastSizeDisplayUpdateNotification=accept
SendMarketDataInLotsForUSstocks=
# Trusted API Client IPs
# ----------------------
#
# NB: THIS SETTING IS ONLY RELEVANT FOR THE GATEWAY, AND ONLY WHEN FIX=yes.
# In all other cases it is ignored.
#
# This is a list of IP addresses separated by commas. API clients with IP
# addresses in this list are able to connect to the API without Gateway
# generating the 'Incoming connection' popup.
#
# Note that 127.0.0.1 is always permitted to connect, so do not include it
# in this setting.
TrustedTwsApiClientIPs=
# Reset Order ID Sequence
# -----------------------
#
# The setting resets the order id sequence for orders submitted via the API, so
# that the next invocation of the `NextValidId` API callback will return the
# value 1. The reset occurs when TWS starts.
#
# Note that order ids are reset for all API clients, except those that have
# outstanding (ie incomplete) orders: their order id sequence carries on as
# before.
#
# Valid values are 'yes', 'true', 'false' and 'no'. The default is 'no'.
ResetOrderIdsAtStart=
# This setting specifies IBC's action when TWS displays the dialog asking for
# confirmation of a request to reset the API order id sequence.
#
# Note that the Gateway never displays this dialog, so this setting is ignored
# for a Gateway session.
#
# Valid values consist of two strings separated by a solidus '/'. The first
# value specifies the action to take when the order id reset request resulted
# from setting ResetOrderIdsAtStart=yes. The second specifies the action to
# take when the order id reset request is a result of the user clicking the
# 'Reset API order ID sequence' button in the API configuration. Each value
# must be one of the following:
#
# 'confirm'
# order ids will be reset
#
# 'reject'
# order ids will not be reset
#
# 'ignore'
# IBC will ignore the dialog. The user must take action.
#
# The default setting is ignore/ignore
# Examples:
#
# 'confirm/reject' - confirm order id reset only if ResetOrderIdsAtStart=yes
# and reject any user-initiated requests
#
# 'ignore/confirm' - user must decide what to do if ResetOrderIdsAtStart=yes
# and confirm user-initiated requests
#
# 'reject/ignore' - reject order id reset if ResetOrderIdsAtStart=yes but
# allow user to handle user-initiated requests
ConfirmOrderIdReset=
# =============================================================================
# 4. TWS Auto-Logoff and Auto-Restart
# 4. TWS Auto-Closedown
# =============================================================================
#
# TWS and Gateway insist on being restarted every day. Two alternative
# automatic options are offered:
# IMPORTANT NOTE: Starting with TWS 974, this setting no longer
# works properly, because IB have changed the way TWS handles its
# autologoff mechanism.
#
# - Auto-Logoff: at a specified time, TWS shuts down tidily, without
# restarting.
# You should now configure the TWS autologoff time to something
# convenient for you, and restart IBC each day.
#
# - Auto-Restart: at a specified time, TWS shuts down and then restarts
# without the user having to re-autheticate.
#
# The normal way to configure the time at which this happens is via the Lock
# and Exit section of the Configuration dialog. Once this time has been
# configured in this way, the setting persists until the user changes it again.
#
# However, there are situations where there is no user available to do this
# configuration, or where there is no persistent storage (for example some
# Docker images). In such cases, the auto-restart or auto-logoff time can be
# set whenever IBC starts with the settings below.
#
# The value, if specified, must be a time in HH:MM AM/PM format, for example
# 08:00 AM or 10:00 PM. Note that there must be a single space between the
# two parts of this value; also that midnight is "12:00 AM" and midday is
# "12:00 PM".
#
# If no value is specified for either setting, the currently configured
# settings will apply. If a value is supplied for one setting, the other
# setting is cleared. If values are supplied for both settings, only the
# auto-restart time is set, and the auto-logoff time is cleared.
#
# Note that for a normal TWS/Gateway installation with persistent storage
# (for example on a desktop computer) the value will be persisted as if the
# user had set it via the configuration dialog.
#
# If you choose to auto-restart, you should take note of the considerations
# described at the link below. Note that where this information mentions
# 'manual authentication', restarting IBC will do the job (IBKR does not
# recognise the existence of IBC in its docuemntation).
#
# https://www.interactivebrokers.com/en/software/tws/twsguide.htm#usersguidebook/configuretws/auto_restart_info.htm
#
# If you use the "RESTART" command via the IBC command server, and IBC is
# running any version of the Gateway (or a version of TWS earlier than 1018),
# note that this will set the Auto-Restart time in Gateway/TWS's configuration
# dialog to the time at which the restart actually happens (which may be up to
# a minute after the RESTART command is issued). To prevent future auto-
# restarts at this time, you must make sure you have set AutoLogoffTime or
# AutoRestartTime to your desired value before running IBC. NB: this does not
# apply to TWS from version 1018 onwards.
# Alternatively, discontinue use of IBC and use the auto-relogin
# mechanism within TWS 974 and later versions (note that the
# auto-relogin mechanism provided by IB is not available if you
# use IBC).
AutoLogoffTime=
# Set to yes or no (lower case).
#
# yes means allow TWS to shut down automatically at its
# specified shutdown time, which is set via the TWS
# configuration menu.
#
# no means TWS never shuts down automatically.
#
# NB: IB recommends that you do not keep TWS running
# continuously. If you set this setting to 'no', you may
# experience incorrect TWS operation.
#
# NB: the default for this setting is 'no'. Since this will
# only work properly with TWS versions earlier than 974, you
# should explicitly set this to 'yes' for version 974 and later.
IbAutoClosedown=yes
AutoRestartTime=
# =============================================================================
# 5. TWS Tidy Closedown Time
# =============================================================================
#
# Specifies a time at which TWS will close down tidily, with no restart.
# NB: starting with TWS 974 this is no longer a useful option
# because both TWS and Gateway now have the same auto-logoff
# mechanism, and IBC can no longer avoid this.
#
# There is little reason to use this setting. It is similar to AutoLogoffTime,
# but can include a day-of-the-week, whereas AutoLogoffTime and AutoRestartTime
# apply every day. So for example you could use ClosedownAt in conjunction with
# AutoRestartTime to shut down TWS on Friday evenings after the markets
# close, without it running on Saturday as well.
# Note that giving this setting a value does not change TWS's
# auto-logoff in any way: any setting will be additional to the
# TWS auto-logoff.
#
# To tell IBC to tidily close TWS at a specified time every
# day, set this value to <hh:mm>, for example:
@ -679,7 +487,7 @@ AcceptIncomingConnectionAction=reject
# no means the dialog remains on display and must be
# handled by the user.
AllowBlindTrading=no
AllowBlindTrading=yes
# Save Settings on a Schedule
@ -722,26 +530,6 @@ AllowBlindTrading=no
SaveTwsSettingsAt=
# Confirm Crypto Currency Orders Automatically
# --------------------------------------------
#
# When you place an order for a cryptocurrency contract, a dialog is displayed
# asking you to confirm that you want to place the order, and notifying you
# that you are placing an order to trade cryptocurrency with Paxos, a New York
# limited trust company, and not at Interactive Brokers.
#
# transmit means that the order will be placed automatically, and the
# dialog will then be closed
#
# cancel means that the order will not be placed, and the dialog will
# then be closed
#
# manual means that IBC will take no action and the user must deal
# with the dialog
ConfirmCryptoCurrencyOrders=transmit
# =============================================================================
# 7. Settings Specific to Indian Versions of TWS
@ -778,17 +566,13 @@ DismissNSEComplianceNotice=yes
#
# The port number that IBC listens on for commands
# such as "STOP". DO NOT set this to the port number
# used for TWS API connections.
#
# The convention is to use 7462 for this port,
# but it must be set to a different value from any other
# IBC instance that might run at the same time.
#
# The default value is 0, which tells IBC not to start
# the command server
# used for TWS API connections. There is no good reason
# to change this setting unless the port is used by
# some other application (typically another instance of
# IBC). The default value is 0, which tells IBC not to
# start the command server
#CommandServerPort=7462
CommandServerPort=0
# Permitted Command Sources
@ -799,19 +583,19 @@ CommandServerPort=0
# IBC. Commands can always be sent from the
# same host as IBC is running on.
ControlFrom=
ControlFrom=127.0.0.1
# Address for Receiving Commands
# ------------------------------
#
# Specifies the IP address on which the Command Server
# is to listen. For a multi-homed host, this can be used
# is so listen. For a multi-homed host, this can be used
# to specify that connection requests are only to be
# accepted on the specified address. The default is to
# accept connection requests on all local addresses.
BindAddress=
BindAddress=127.0.0.1
# Command Prompt
@ -837,7 +621,7 @@ CommandPrompt=
# information is sent. The default is that such information
# is not sent.
SuppressInfoMessages=yes
SuppressInfoMessages=no
@ -867,10 +651,10 @@ SuppressInfoMessages=yes
# The LogStructureScope setting indicates which windows are
# eligible for structure logging:
#
# - (default value) if set to 'known', only windows that
# IBC recognizes are eligible - these are windows that
# IBC has some interest in monitoring, usually to take
# some action on the user's behalf;
# - if set to 'known', only windows that IBC recognizes
# are eligible - these are windows that IBC has some
# interest in monitoring, usually to take some action
# on the user's behalf;
#
# - if set to 'unknown', only windows that IBC does not
# recognize are eligible. Most windows displayed by
@ -883,8 +667,9 @@ SuppressInfoMessages=yes
# - if set to 'all', then every window displayed by TWS
# is eligible.
#
# The default value is 'known'.
LogStructureScope=known
LogStructureScope=all
# When to Log Window Structure
@ -897,15 +682,13 @@ LogStructureScope=known
# structure of an eligible window the first time it
# is encountered;
#
# - if set to 'openclose', the structure is logged every
# time an eligible window is opened or closed;
#
# - if set to 'activate', the structure is logged every
# time an eligible window is made active;
#
# - (default value) if set to 'never' or 'no' or 'false',
# structure information is never logged.
# - if set to 'never' or 'no' or 'false', structure
# information is never logged.
#
# The default value is 'never'.
LogStructureWhen=never
@ -925,3 +708,4 @@ LogStructureWhen=never
#LogComponents=

View File

@ -6,11 +6,6 @@
# - then manually ensuring all deps are converted over:
# - add this file to the repo and commit it
# -
# GROKin tips:
# - CLI eps are (ostensibly) added via an `entry_points.txt`:
# - https://packaging.python.org/en/latest/specifications/entry-points/#file-format
# - https://github.com/nix-community/poetry2nix/blob/master/editable.nix#L49
{
description = "piker: trading gear for hackers (pkged with poetry2nix)";
@ -106,7 +101,7 @@
# won't be needed - thanks @k900:
# https://github.com/nix-community/poetry2nix/pull/1257
pyqt5 = prev.pyqt5.override {
# withWebkit = false;
withWebkit = false;
preferWheel = true;
};
@ -129,8 +124,7 @@
# WHY!? -> output-attrs that `nix develop` scans for:
# https://nixos.org/manual/nix/stable/command-ref/new-cli/nix3-develop.html#flake-output-attributes
in
rec {
in {
packages = {
# piker = poetry2nix.legacyPackages.x86_64-linux.mkPoetryEditablePackage {
# editablePackageSources = { piker = ./piker; };
@ -149,32 +143,36 @@
};
};
# devShells.default = pkgs.mkShell {
# projectDir = projectDir;
# python = "python3.10";
# overrides = ahot_overrides;
# inputsFrom = [ self.packages.x86_64-linux.piker ];
# packages = packages;
# # packages = [ poetry2nix.packages.${system}.poetry ];
# };
devShells.default = pkgs.mkShell {
# packages = [ poetry2nix.packages.${system}.poetry ];
packages = [ poetry2nix.packages.x86_64-linux.poetry ];
inputsFrom = [ self.packages.x86_64-linux.piker ];
# TODO: boot xonsh inside the poetry virtualenv when
# defined via a custom entry point?
# NOTE XXX: apparently DON'T do these..?
# shellHook = "poetry run xonsh";
# shellHook = "poetry shell";
};
# TODO: grok the difference here..
# - avoid re-cloning git repos on every develop entry..
# - ideally allow hacking on the src code of some deps
# (tractor, pyqtgraph, tomlkit, etc.) WITHOUT having to
# re-install them every time a change is made.
# - boot a usable xonsh inside the poetry virtualenv when
# defined via a custom entry point?
devShells.default = p2npkgs.mkPoetryEnv {
# env = p2npkgs.mkPoetryEnv {
projectDir = projectDir;
python = pkgs.python310;
overrides = ahot_overrides;
editablePackageSources = packages;
# piker = "./";
# tractor = "../tractor/";
# }; # wut?
};
# devShells.default = (p2npkgs.mkPoetryEnv {
# # let {
# # devEnv = p2npkgs.mkPoetryEnv {
# projectDir = projectDir;
# overrides = ahot_overrides;
# inputsFrom = [ self.packages.x86_64-linux.piker ];
# }).env.overrideAttrs (old: {
# buildInputs = [ packages.piker ];
# }
# );
}
); # end of .outputs scope
}

View File

@ -327,11 +327,7 @@ class MktPair(Struct, frozen=True):
) -> dict:
d = super().to_dict(**kwargs)
d['src'] = self.src.to_dict(**kwargs)
if not isinstance(self.dst, str):
d['dst'] = self.dst.to_dict(**kwargs)
else:
d['dst'] = str(self.dst)
d['price_tick'] = str(self.price_tick)
d['size_tick'] = str(self.size_tick)
@ -353,16 +349,11 @@ class MktPair(Struct, frozen=True):
Constructor for a received msg-dict normally received over IPC.
'''
if not isinstance(
dst_asset_msg := msg.pop('dst'),
str,
):
dst: Asset = Asset.from_msg(dst_asset_msg) # .copy()
else:
dst: str = dst_asset_msg
dst_asset_msg = msg.pop('dst')
dst = Asset.from_msg(dst_asset_msg) # .copy()
src_asset_msg: dict = msg.pop('src')
src: Asset = Asset.from_msg(src_asset_msg) # .copy()
src_asset_msg = msg.pop('src')
src = Asset.from_msg(src_asset_msg) # .copy()
# XXX NOTE: ``msgspec`` can encode `Decimal` but it doesn't
# decide to it by default since we aren't spec-cing these

View File

@ -50,7 +50,7 @@ __brokers__: list[str] = [
'binance',
'ib',
'kraken',
'kucoin',
'kucoin'
# broken but used to work
# 'questrade',
@ -71,7 +71,7 @@ def get_brokermod(brokername: str) -> ModuleType:
Return the imported broker module by name.
'''
module: ModuleType = import_module('.' + brokername, 'piker.brokers')
module = import_module('.' + brokername, 'piker.brokers')
# we only allow monkeying because it's for internal keying
module.name = module.__name__.split('.')[-1]
return module

View File

@ -18,11 +18,10 @@
Handy cross-broker utils.
"""
from __future__ import annotations
from functools import partial
import json
import httpx
import asks
import logging
from ..log import (
@ -51,7 +50,6 @@ class SymbolNotFound(BrokerError):
"Symbol not found by broker search"
# TODO: these should probably be moved to `.tsp/.data`?
class NoData(BrokerError):
'''
Symbol data not permitted or no data
@ -61,15 +59,14 @@ class NoData(BrokerError):
def __init__(
self,
*args,
info: dict|None = None,
frame_size: int = 1000,
) -> None:
super().__init__(*args)
self.info: dict|None = info
# when raised, machinery can check if the backend
# set a "frame size" for doing datetime calcs.
# self.frame_size: int = 1000
self.frame_size: int = 1000
class DataUnavailable(BrokerError):
@ -91,18 +88,16 @@ class DataThrottle(BrokerError):
def resproc(
resp: httpx.Response,
resp: asks.response_objects.Response,
log: logging.Logger,
return_json: bool = True,
log_resp: bool = False,
) -> httpx.Response:
'''
Process response and return its json content.
) -> asks.response_objects.Response:
"""Process response and return its json content.
Raise the appropriate error on non-200 OK responses.
'''
"""
if not resp.status_code == 200:
raise BrokerError(resp.body)
try:

View File

@ -25,13 +25,14 @@ from __future__ import annotations
from collections import ChainMap
from contextlib import (
asynccontextmanager as acm,
AsyncExitStack,
)
from datetime import datetime
from pprint import pformat
from typing import (
Any,
Callable,
Hashable,
Sequence,
Type,
)
import hmac
@ -42,7 +43,8 @@ import trio
from pendulum import (
now,
)
import httpx
import asks
from rapidfuzz import process as fuzzy
import numpy as np
from piker import config
@ -52,7 +54,6 @@ from piker.clearing._messages import (
from piker.accounting import (
Asset,
digits_to_dec,
MktPair,
)
from piker.types import Struct
from piker.data import (
@ -68,6 +69,7 @@ from .venues import (
PAIRTYPES,
Pair,
MarketType,
_spot_url,
_futes_url,
_testnet_futes_url,
@ -77,18 +79,16 @@ from .venues import (
log = get_logger('piker.brokers.binance')
def get_config() -> dict[str, Any]:
def get_config() -> dict:
conf: dict
path: Path
conf, path = config.load(
conf_name='brokers',
touch_if_dne=True,
)
section: dict = conf.get('binance')
conf, path = config.load(touch_if_dne=True)
section = conf.get('binance')
if not section:
log.warning(
f'No config section found for binance in {path}'
)
log.warning(f'No config section found for binance in {path}')
return {}
return section
@ -144,7 +144,7 @@ def binance_timestamp(
class Client:
'''
Async ReST API client using `trio` + `httpx` B)
Async ReST API client using ``trio`` + ``asks`` B)
Supports all of the spot, margin and futures endpoints depending
on method.
@ -153,17 +153,10 @@ class Client:
def __init__(
self,
venue_sessions: dict[
str, # venue key
tuple[httpx.AsyncClient, str] # session, eps path
],
conf: dict[str, Any],
# TODO: change this to `Client.[mkt_]venue: MarketType`?
mkt_mode: MarketType = 'spot',
) -> None:
self.conf = conf
# build out pair info tables for each market type
# and wrap in a chain-map view for search / query.
self._spot_pairs: dict[str, Pair] = {} # spot info table
@ -190,13 +183,44 @@ class Client:
# market symbols for use by search. See `.exch_info()`.
self._pairs: ChainMap[str, Pair] = ChainMap()
# spot EPs sesh
self._sesh = asks.Session(connections=4)
self._sesh.base_location: str = _spot_url
# spot testnet
self._test_sesh: asks.Session = asks.Session(connections=4)
self._test_sesh.base_location: str = _testnet_spot_url
# margin and extended spot endpoints session.
self._sapi_sesh = asks.Session(connections=4)
self._sapi_sesh.base_location: str = _spot_url
# futes EPs sesh
self._fapi_sesh = asks.Session(connections=4)
self._fapi_sesh.base_location: str = _futes_url
# futes testnet
self._test_fapi_sesh: asks.Session = asks.Session(connections=4)
self._test_fapi_sesh.base_location: str = _testnet_futes_url
# global client "venue selection" mode.
# set this when you want to switch venues and not have to
# specify the venue for the next request.
self.mkt_mode: MarketType = mkt_mode
# per-mkt-venue API client table
self.venue_sesh = venue_sessions
# per 8
self.venue_sesh: dict[
str, # venue key
tuple[asks.Session, str] # session, eps path
] = {
'spot': (self._sesh, '/api/v3/'),
'spot_testnet': (self._test_sesh, '/fapi/v1/'),
'margin': (self._sapi_sesh, '/sapi/v1/'),
'usdtm_futes': (self._fapi_sesh, '/fapi/v1/'),
'usdtm_futes_testnet': (self._test_fapi_sesh, '/fapi/v1/'),
# 'futes_coin': self._dapi, # TODO
}
# lookup for going from `.mkt_mode: str` to the config
# subsection `key: str`
@ -211,6 +235,40 @@ class Client:
'futes': ['usdtm_futes'],
}
# for creating API keys see,
# https://www.binance.com/en/support/faq/how-to-create-api-keys-on-binance-360002502072
self.conf: dict = get_config()
for key, subconf in self.conf.items():
if api_key := subconf.get('api_key', ''):
venue_keys: list[str] = self.confkey2venuekeys[key]
venue_key: str
sesh: asks.Session
for venue_key in venue_keys:
sesh, _ = self.venue_sesh[venue_key]
api_key_header: dict = {
# taken from official:
# https://github.com/binance/binance-futures-connector-python/blob/main/binance/api.py#L47
"Content-Type": "application/json;charset=utf-8",
# TODO: prolly should just always query and copy
# in the real latest ver?
"User-Agent": "binance-connector/6.1.6smbz6",
"X-MBX-APIKEY": api_key,
}
sesh.headers.update(api_key_header)
# if `.use_tesnet = true` in the config then
# also add headers for the testnet session which
# will be used for all order control
if subconf.get('use_testnet', False):
testnet_sesh, _ = self.venue_sesh[
venue_key + '_testnet'
]
testnet_sesh.headers.update(api_key_header)
def _mk_sig(
self,
data: dict,
@ -229,6 +287,7 @@ class Client:
'to define the creds for auth-ed endpoints!?'
)
# XXX: Info on security and authentification
# https://binance-docs.github.io/apidocs/#endpoint-security-type
if not (api_secret := subconf.get('api_secret')):
@ -257,7 +316,7 @@ class Client:
params: dict,
method: str = 'get',
venue: str|None = None, # if None use `.mkt_mode` state
venue: str | None = None, # if None use `.mkt_mode` state
signed: bool = False,
allow_testnet: bool = False,
@ -268,9 +327,8 @@ class Client:
- /fapi/v3/ USD-M FUTURES, or
- /api/v3/ SPOT/MARGIN
account/market endpoint request depending on either passed in
`venue: str` or the current setting `.mkt_mode: str` setting,
default `'spot'`.
account/market endpoint request depending on either passed in `venue: str`
or the current setting `.mkt_mode: str` setting, default `'spot'`.
Docs per venue API:
@ -299,6 +357,9 @@ class Client:
venue=venue_key,
)
sesh: asks.Session
path: str
# Check if we're configured to route order requests to the
# venue equivalent's testnet.
use_testnet: bool = False
@ -323,12 +384,11 @@ class Client:
# ctl machinery B)
venue_key += '_testnet'
client: httpx.AsyncClient
path: str
client, path = self.venue_sesh[venue_key]
meth: Callable = getattr(client, method)
sesh, path = self.venue_sesh[venue_key]
meth: Callable = getattr(sesh, method)
resp = await meth(
url=path + endpoint,
path=path + endpoint,
params=params,
timeout=float('inf'),
)
@ -370,15 +430,7 @@ class Client:
item['filters'] = filters
pair_type: Type = PAIRTYPES[venue]
try:
pair: Pair = pair_type(**item)
except Exception as e:
e.add_note(
"\nDon't panic, prolly stupid binance changed their symbology schema again..\n"
'Check out their API docs here:\n\n'
'https://binance-docs.github.io/apidocs/spot/en/#exchange-information'
)
raise
pair_table[pair.symbol.upper()] = pair
# update an additional top-level-cross-venue-table
@ -473,9 +525,7 @@ class Client:
'''
pair_table: dict[str, Pair] = self._venue2pairs[
venue
or
self.mkt_mode
venue or self.mkt_mode
]
if (
expiry
@ -494,9 +544,9 @@ class Client:
venues: list[str] = [venue]
# batch per-venue download of all exchange infos
async with trio.open_nursery() as tn:
async with trio.open_nursery() as rn:
for ven in venues:
tn.start_soon(
rn.start_soon(
self._cache_pairs,
ven,
)
@ -549,11 +599,11 @@ class Client:
) -> dict[str, Any]:
fq_pairs: dict[str, Pair] = await self.exch_info()
fq_pairs: dict = await self.exch_info()
# TODO: cache this list like we were in
# `open_symbol_search()`?
# keys: list[str] = list(fq_pairs)
keys: list[str] = list(fq_pairs)
return match_from_pairs(
pairs=fq_pairs,
@ -561,20 +611,9 @@ class Client:
score_cutoff=50,
)
def pair2venuekey(
self,
pair: Pair,
) -> str:
return {
'USDTM': 'usdtm_futes',
'SPOT': 'spot',
# 'COINM': 'coin_futes',
# ^-TODO-^ bc someone might want it..?
}[pair.venue]
async def bars(
self,
mkt: MktPair,
symbol: str,
start_dt: datetime | None = None,
end_dt: datetime | None = None,
@ -604,20 +643,16 @@ class Client:
start_time = binance_timestamp(start_dt)
end_time = binance_timestamp(end_dt)
bs_pair: Pair = self._pairs[mkt.bs_fqme.upper()]
# https://binance-docs.github.io/apidocs/spot/en/#kline-candlestick-data
bars = await self._api(
'klines',
params={
# NOTE: always query using their native symbology!
'symbol': mkt.bs_mktid.upper(),
'symbol': symbol.upper(),
'interval': '1m',
'startTime': start_time,
'endTime': end_time,
'limit': limit
},
venue=self.pair2venuekey(bs_pair),
allow_testnet=False,
)
new_bars: list[tuple] = []
@ -934,148 +969,17 @@ class Client:
await self.close_listen_key(key)
_venue_urls: dict[str, str] = {
'spot': (
_spot_url,
'/api/v3/',
),
'spot_testnet': (
_testnet_spot_url,
'/fapi/v1/'
),
# margin and extended spot endpoints session.
# TODO: did this ever get implemented fully?
# 'margin': (
# _spot_url,
# '/sapi/v1/'
# ),
'usdtm_futes': (
_futes_url,
'/fapi/v1/',
),
'usdtm_futes_testnet': (
_testnet_futes_url,
'/fapi/v1/',
),
# TODO: for anyone who actually needs it ;P
# 'coin_futes': ()
}
def init_api_keys(
client: Client,
conf: dict[str, Any],
) -> None:
'''
Set up per-venue API keys each http client according to the user's
`brokers.conf`.
For ex, to use spot-testnet and live usdt futures APIs:
```toml
[binance]
# spot test net
spot.use_testnet = true
spot.api_key = '<spot_api_key_from_binance_account>'
spot.api_secret = '<spot_api_key_password>'
# futes live
futes.use_testnet = false
accounts.usdtm = 'futes'
futes.api_key = '<futes_api_key_from_binance>'
futes.api_secret = '<futes_api_key_password>''
# if uncommented will use the built-in paper engine and not
# connect to `binance` API servers for order ctl.
# accounts.paper = 'paper'
```
'''
for key, subconf in conf.items():
if api_key := subconf.get('api_key', ''):
venue_keys: list[str] = client.confkey2venuekeys[key]
venue_key: str
client: httpx.AsyncClient
for venue_key in venue_keys:
client, _ = client.venue_sesh[venue_key]
api_key_header: dict = {
# taken from official:
# https://github.com/binance/binance-futures-connector-python/blob/main/binance/api.py#L47
"Content-Type": "application/json;charset=utf-8",
# TODO: prolly should just always query and copy
# in the real latest ver?
"User-Agent": "binance-connector/6.1.6smbz6",
"X-MBX-APIKEY": api_key,
}
client.headers.update(api_key_header)
# if `.use_tesnet = true` in the config then
# also add headers for the testnet session which
# will be used for all order control
if subconf.get('use_testnet', False):
testnet_sesh, _ = client.venue_sesh[
venue_key + '_testnet'
]
testnet_sesh.headers.update(api_key_header)
@acm
async def get_client(
mkt_mode: MarketType = 'spot',
) -> Client:
'''
Construct an single `piker` client which composes multiple underlying venue
specific API clients both for live and test networks.
async def get_client() -> Client:
'''
venue_sessions: dict[
str, # venue key
tuple[httpx.AsyncClient, str] # session, eps path
] = {}
async with AsyncExitStack() as client_stack:
for name, (base_url, path) in _venue_urls.items():
api: httpx.AsyncClient = await client_stack.enter_async_context(
httpx.AsyncClient(
base_url=base_url,
# headers={},
# TODO: is there a way to numerate this?
# https://www.python-httpx.org/advanced/clients/#why-use-a-client
# connections=4
)
)
venue_sessions[name] = (
api,
path,
)
conf: dict[str, Any] = get_config()
# for creating API keys see,
# https://www.binance.com/en/support/faq/how-to-create-api-keys-on-binance-360002502072
client = Client(
venue_sessions=venue_sessions,
conf=conf,
mkt_mode=mkt_mode,
)
init_api_keys(
client=client,
conf=conf,
)
fq_pairs: dict[str, Pair] = await client.exch_info()
assert fq_pairs
client = Client()
await client.exch_info()
log.info(
f'Loaded multi-venue `Client` in mkt_mode={client.mkt_mode!r}\n\n'
f'Symbology Summary:\n'
f'------ - ------\n'
f'{client} in {client.mkt_mode} mode: caching exchange infos..\n'
'Cached multi-market pairs:\n'
f'spot: {len(client._spot_pairs)}\n'
f'usdtm_futes: {len(client._ufutes_pairs)}\n'
'------ - ------\n'
f'total: {len(client._pairs)}\n'
f'Total: {len(client._pairs)}\n'
)
yield client

View File

@ -264,20 +264,15 @@ async def open_trade_dialog(
# do a open_symcache() call.. though maybe we can hide
# this in a new async version of open_account()?
async with open_cached_client('binance') as client:
subconf: dict|None = client.conf.get(venue_name)
subconf: dict = client.conf[venue_name]
use_testnet = subconf.get('use_testnet', False)
# XXX: if no futes.api_key or spot.api_key has been set we
# always fall back to the paper engine!
if (
not subconf
or
not subconf.get('api_key')
):
if not subconf.get('api_key'):
await ctx.started('paper')
return
use_testnet: bool = subconf.get('use_testnet', False)
async with (
open_cached_client('binance') as client,
):

View File

@ -42,12 +42,12 @@ from trio_typing import TaskStatus
from pendulum import (
from_timestamp,
)
from rapidfuzz import process as fuzzy
import numpy as np
import tractor
from piker.brokers import (
open_cached_client,
NoData,
)
from piker._cacheables import (
async_lifo_cache,
@ -110,7 +110,6 @@ class AggTrade(Struct, frozen=True):
async def stream_messages(
ws: NoBsWs,
) -> AsyncGenerator[NoBsWs, dict]:
# TODO: match syntax here!
@ -221,8 +220,6 @@ def make_sub(pairs: list[str], sub_name: str, uid: int) -> dict[str, str]:
}
# TODO, why aren't frame resp `log.info()`s showing in upstream
# code?!
@acm
async def open_history_client(
mkt: MktPair,
@ -255,30 +252,24 @@ async def open_history_client(
else:
client.mkt_mode = 'spot'
array: np.ndarray = await client.bars(
mkt=mkt,
# NOTE: always query using their native symbology!
mktid: str = mkt.bs_mktid
array = await client.bars(
mktid,
start_dt=start_dt,
end_dt=end_dt,
)
if array.size == 0:
raise NoData(
f'No frame for {start_dt} -> {end_dt}\n'
)
times = array['time']
if not times.any():
raise ValueError(
'Bad frame with null-times?\n\n'
f'{times}'
)
if end_dt is None:
inow: int = round(time.time())
if (
end_dt is None
):
inow = round(time.time())
if (inow - times[-1]) > 60:
await tractor.pause()
start_dt = from_timestamp(times[0])
end_dt = from_timestamp(times[-1])
return array, start_dt, end_dt
yield get_ohlc, {'erlangs': 3, 'rate': 3}
@ -465,8 +456,6 @@ async def stream_quotes(
):
init_msgs: list[FeedInit] = []
for sym in symbols:
mkt: MktPair
pair: Pair
mkt, pair = await get_mkt_info(sym)
# build out init msgs according to latest spec
@ -515,6 +504,7 @@ async def stream_quotes(
# start streaming
async for typ, quote in msg_gen:
# period = time.time() - last
# hz = 1/period if period else float('inf')
# if hz > 60:
@ -550,7 +540,7 @@ async def open_symbol_search(
)
# repack in fqme-keyed table
byfqme: dict[str, Pair] = {}
byfqme: dict[start, Pair] = {}
for pair in pairs.values():
byfqme[pair.bs_fqme] = pair

View File

@ -137,12 +137,10 @@ class SpotPair(Pair, frozen=True):
quoteOrderQtyMarketAllowed: bool
isSpotTradingAllowed: bool
isMarginTradingAllowed: bool
otoAllowed: bool
defaultSelfTradePreventionMode: str
allowedSelfTradePreventionModes: list[str]
permissions: list[str]
permissionSets: list[list[str]]
# NOTE: see `.data._symcache.SymbologyCache.load()` for why
ns_path: str = 'piker.brokers.binance:SpotPair'
@ -181,6 +179,7 @@ class FutesPair(Pair):
quoteAsset: str # 'USDT',
quotePrecision: int # 8,
requiredMarginPercent: float # '5.0000',
settlePlan: int # 0,
timeInForce: list[str] # ['GTC', 'IOC', 'FOK', 'GTX'],
triggerProtect: float # '0.0500',
underlyingSubType: list[str] # ['PoW'],
@ -202,7 +201,6 @@ class FutesPair(Pair):
match contype:
case (
'CURRENT_QUARTER'
| 'CURRENT_QUARTER DELIVERING'
| 'NEXT_QUARTER' # su madre binance..
):
pair, _, expiry = symbol.partition('_')
@ -222,10 +220,6 @@ class FutesPair(Pair):
case ['DEFI']:
return 'PERP'
# wow, just wow you binance guys suck..
if self.status == 'PENDING_TRADING':
return 'PENDING'
# XXX: yeah no clue then..
raise ValueError(
f'Bad .expiry token match: {contype} for {symbol}'
@ -243,7 +237,6 @@ class FutesPair(Pair):
case (
'CURRENT_QUARTER'
| 'CURRENT_QUARTER DELIVERING'
| 'NEXT_QUARTER' # su madre binance..
):
_, _, expiry = symbol.partition('_')
@ -256,10 +249,7 @@ class FutesPair(Pair):
return f'{margin}M'
match subtype:
case (
['DEFI']
| ['USDC']
):
case ['DEFI']:
return f'{subtype[0]}'
# XXX: yeah no clue then..

View File

@ -482,8 +482,6 @@ def search(
):
return await func()
from piker.toolz import open_crash_handler
with open_crash_handler():
quotes = trio.run(
main,
partial(
@ -506,11 +504,9 @@ def search(
@click.option('--delete', '-d', flag_value=True, help='Delete section')
@click.pass_obj
def brokercfg(config, section, value, delete):
'''
If invoked with no arguments, open an editor to edit broker
configs file or get / update an individual section.
'''
"""If invoked with no arguments, open an editor to edit broker configs file
or get / update an individual section.
"""
from .. import config
if section:

View File

@ -145,11 +145,7 @@ async def symbol_search(
async with maybe_spawn_brokerd(
mod.name,
infect_asyncio=getattr(
mod,
'_infect_asyncio',
False,
),
infect_asyncio=getattr(mod, '_infect_asyncio', False),
) as portal:
results.append((

View File

@ -100,7 +100,7 @@ async def data_reset_hack(
log.warning(
no_setup_msg
+
'REQUIRES A `vnc_addrs: array` ENTRY'
f'REQUIRES A `vnc_addrs: array` ENTRY'
)
vnc_host, vnc_port = vnc_sockaddr.get(

View File

@ -41,6 +41,7 @@ import time
from typing import (
Any,
Callable,
Union,
)
from types import SimpleNamespace
@ -48,12 +49,7 @@ from bidict import bidict
import trio
import tractor
from tractor import to_asyncio
from pendulum import (
from_timestamp,
DateTime,
Duration,
duration as mk_duration,
)
import pendulum
from eventkit import Event
from ib_insync import (
client as ib_client,
@ -225,20 +221,16 @@ def bars_to_np(bars: list) -> np.ndarray:
# https://interactivebrokers.github.io/tws-api/historical_limitations.html#non-available_hd
_samplings: dict[int, tuple[str, str]] = {
1: (
# ib strs
'1 secs',
f'{int(2e3)} S',
mk_duration(seconds=2e3),
pendulum.duration(seconds=2e3),
),
# TODO: benchmark >1 D duration on query to see if
# throughput can be made faster during backfilling.
60: (
# ib strs
'1 min',
'2 D',
mk_duration(days=2),
'1 D',
pendulum.duration(days=1),
),
}
@ -287,31 +279,9 @@ class Client:
self.conf = config
# NOTE: the ib.client here is "throttled" to 45 rps by default
self.ib: IB = ib
self.ib = ib
self.ib.RaiseRequestErrors: bool = True
# self._acnt_names: set[str] = {}
self._acnt_names: list[str] = []
@property
def acnts(self) -> list[str]:
# return list(self._acnt_names)
return self._acnt_names
def __repr__(self) -> str:
return (
f'<{type(self).__name__}('
f'ib={self.ib} '
f'acnts={self.acnts}'
# TODO: we need to mask out acnt-#s and other private
# infos if we're going to console this!
# f' |_.conf:\n'
# f' {pformat(self.conf)}\n'
')>'
)
async def get_fills(self) -> list[Fill]:
'''
Return list of rents `Fills` from trading session.
@ -333,8 +303,8 @@ class Client:
fqme: str,
# EST in ISO 8601 format is required... below is EPOCH
start_dt: datetime | str = "1970-01-01T00:00:00.000000-05:00",
end_dt: datetime | str = "",
start_dt: Union[datetime, str] = "1970-01-01T00:00:00.000000-05:00",
end_dt: Union[datetime, str] = "",
# ohlc sample period in seconds
sample_period_s: int = 1,
@ -345,7 +315,7 @@ class Client:
**kwargs,
) -> tuple[BarDataList, np.ndarray, Duration]:
) -> tuple[BarDataList, np.ndarray, pendulum.Duration]:
'''
Retreive OHLCV bars for a fqme over a range to the present.
@ -354,19 +324,14 @@ class Client:
# https://interactivebrokers.github.io/tws-api/historical_data.html
bars_kwargs = {'whatToShow': 'TRADES'}
bars_kwargs.update(kwargs)
(
bar_size,
ib_duration_str,
default_dt_duration,
) = _samplings[sample_period_s]
bar_size, duration, dt_duration = _samplings[sample_period_s]
dt_duration: Duration = (
duration
or default_dt_duration
global _enters
log.info(
f"REQUESTING {duration}'s worth {bar_size} BARS\n"
f'{_enters} @ end={end_dt}"'
)
# TODO: maybe remove all this?
global _enters
if not end_dt:
end_dt = ''
@ -375,8 +340,8 @@ class Client:
contract: Contract = (await self.find_contracts(fqme))[0]
bars_kwargs.update(getattr(contract, 'bars_kwargs', {}))
kwargs: dict[str, Any] = dict(
contract=contract,
bars = await self.ib.reqHistoricalDataAsync(
contract,
endDateTime=end_dt,
formatDate=2,
@ -388,7 +353,7 @@ class Client:
# time history length values format:
# ``durationStr=integer{SPACE}unit (S|D|W|M|Y)``
durationStr=ib_duration_str,
durationStr=duration,
# always use extended hours
useRTH=False,
@ -398,81 +363,36 @@ class Client:
# whatToShow='MIDPOINT',
# whatToShow='TRADES',
)
bars = await self.ib.reqHistoricalDataAsync(
**kwargs,
)
query_info: str = (
f'REQUESTING IB history BARS\n'
f' ------ - ------\n'
f'dt_duration: {dt_duration}\n'
f'ib_duration_str: {ib_duration_str}\n'
f'bar_size: {bar_size}\n'
f'fqme: {fqme}\n'
f'actor-global _enters: {_enters}\n'
f'kwargs: {pformat(kwargs)}\n'
)
# tail case if no history for range or none prior.
# NOTE: there's actually 3 cases here to handle (and
# this should be read alongside the implementation of
# `.reqHistoricalDataAsync()`):
# - a timeout occurred in which case insync internals return
# an empty list thing with bars.clear()...
# - no data exists for the period likely due to
if not bars:
# NOTE: there's 2 cases here to handle (and this should be
# read alongside the implementation of
# ``.reqHistoricalDataAsync()``):
# - no data is returned for the period likely due to
# a weekend, holiday or other non-trading period prior to
# ``end_dt`` which exceeds the ``duration``,
# - LITERALLY this is the start of the mkt's history!
if not bars:
# TODO: figure out wut's going on here.
# TODO: is this handy, a sync requester for tinkering
# with empty frame cases?
# def get_hist():
# return self.ib.reqHistoricalData(**kwargs)
# import pdbp
# pdbp.set_trace()
log.critical(
'STUPID IB SAYS NO HISTORY\n\n'
+ query_info
)
# TODO: we could maybe raise ``NoData`` instead if we
# rewrite the method in the first case?
# right now there's no way to detect a timeout..
# - a timeout occurred in which case insync internals return
# an empty list thing with bars.clear()...
return [], np.empty(0), dt_duration
# TODO: we could maybe raise ``NoData`` instead if we
# rewrite the method in the first case? right now there's no
# way to detect a timeout.
log.info(query_info)
# NOTE XXX: ensure minimum duration in bars?
# => recursively call this method until we get at least as
# many bars such that they sum in aggregate to the the
# NOTE XXX: ensure minimum duration in bars B)
# => we recursively call this method until we get at least
# as many bars such that they sum in aggregate to the the
# desired total time (duration) at most.
# - if you query over a gap and get no data
# that may short circuit the history
if (
# XXX XXX XXX
# => WHY DID WE EVEN NEED THIS ORIGINALLY!? <=
# XXX XXX XXX
False
and end_dt
):
nparr: np.ndarray = bars_to_np(bars)
times: np.ndarray = nparr['time']
first: float = times[0]
tdiff: float = times[-1] - first
if (
# len(bars) * sample_period_s) < dt_duration.in_seconds()
tdiff < dt_duration.in_seconds()
# and False
):
end_dt: DateTime = from_timestamp(first)
log.warning(
f'Frame result was shorter then {dt_duration}!?\n'
'Recursing for more bars:\n'
f'end_dt: {end_dt}\n'
f'dt_duration: {dt_duration}\n'
elif (
end_dt
and (
(len(bars) * sample_period_s) < dt_duration.in_seconds()
)
):
log.warning(
f'Recursing to get more bars from {end_dt} for {dt_duration}'
)
end_dt -= dt_duration
(
r_bars,
r_arr,
@ -481,39 +401,12 @@ class Client:
fqme,
start_dt=start_dt,
end_dt=end_dt,
sample_period_s=sample_period_s,
# TODO: make a table for Duration to
# the ib str values in order to use this?
# duration=duration,
)
r_bars.extend(bars)
bars = r_bars
nparr: np.ndarray = bars_to_np(bars)
# timestep should always be at least as large as the
# period step.
tdiff: np.ndarray = np.diff(nparr['time'])
to_short: np.ndarray = tdiff < sample_period_s
if (to_short).any():
# raise ValueError(
log.error(
f'OHLC frame for {sample_period_s} has {to_short.size} '
'time steps which are shorter then expected?!"'
)
# OOF: this will break teardown?
# -[ ] check if it's greenback
# -[ ] why tf are we leaking shm entries..
# -[ ] make a test on the debugging asyncio testing
# branch..
# breakpoint()
return (
bars,
nparr,
dt_duration,
)
nparr = bars_to_np(bars)
return bars, nparr, dt_duration
async def con_deats(
self,
@ -857,23 +750,6 @@ class Client:
return contracts
async def maybe_get_head_time(
self,
fqme: str,
) -> datetime | None:
'''
Return the first datetime stamp for `fqme` or `None`
on request failure.
'''
try:
head_dt: datetime = await self.get_head_time(fqme=fqme)
return head_dt
except RequestError:
log.warning(f'Unable to get head time: {fqme} ?')
return None
async def get_head_time(
self,
fqme: str,
@ -914,7 +790,6 @@ class Client:
self,
contract: Contract,
timeout: float = 1,
tries: int = 100,
raise_on_timeout: bool = False,
) -> Ticker | None:
@ -929,45 +804,34 @@ class Client:
ready: ticker.TickerUpdateEvent = ticker.updateEvent
# ensure a last price gets filled in before we deliver quote
timeouterr: Exception | None = None
warnset: bool = False
for _ in range(tries):
# wait for a first update(Event) indicatingn a
# live quote feed.
for _ in range(100):
if isnan(ticker.last):
# wait for a first update(Event)
try:
tkr = await asyncio.wait_for(
ready,
timeout=timeout,
)
except TimeoutError:
if raise_on_timeout:
raise
return None
if tkr:
break
except TimeoutError as err:
timeouterr = err
await asyncio.sleep(0.01)
continue
else:
if not warnset:
log.warning(
f'Quote req timed out..maybe venue is closed?\n'
f'{asdict(contract)}'
f'Quote for {contract} timed out: market is closed?'
)
warnset = True
else:
log.info(
'Got first quote for contract\n'
f'{contract}\n'
)
log.info(f'Got first quote for {contract}')
break
else:
if timeouterr and raise_on_timeout:
import pdbp
pdbp.set_trace()
raise timeouterr
if not warnset:
log.warning(
f'Contract {contract} is not returning a quote '
@ -975,8 +839,6 @@ class Client:
)
warnset = True
return None
return ticker
# async to be consistent for the client proxy, and cuz why not.
@ -1024,12 +886,8 @@ class Client:
outsideRth=True,
optOutSmartRouting=True,
# TODO: need to understand this setting better as
# it pertains to shit ass mms..
routeMarketableToBbo=True,
designatedLocation='SMART',
# TODO: make all orders GTC?
# https://interactivebrokers.github.io/tws-api/classIBApi_1_1Order.html#a95539081751afb9980f4c6bd1655a6ba
# goodTillDate=f"yyyyMMdd-HH:mm:ss",
@ -1142,9 +1000,7 @@ _scan_ignore: set[tuple[str, int]] = set()
def get_config() -> dict[str, Any]:
conf, path = config.load(
conf_name='brokers',
)
conf, path = config.load('brokers')
section = conf.get('ib')
accounts = section.get('accounts')
@ -1157,8 +1013,8 @@ def get_config() -> dict[str, Any]:
names = list(accounts.keys())
accts = section['accounts'] = bidict(accounts)
log.info(
f'{path} defines {len(accts)} account aliases:\n'
f'{pformat(names)}\n'
f'brokers.toml defines {len(accts)} accounts: '
f'{pformat(names)}'
)
if section is None:
@ -1225,7 +1081,7 @@ async def load_aio_clients(
try_ports = list(try_ports.values())
_err = None
accounts_def: dict[str, str] = config.load_accounts(['ib'])
accounts_def = config.load_accounts(['ib'])
ports = try_ports if port is None else [port]
combos = list(itertools.product(hosts, ports))
accounts_found: dict[str, Client] = {}
@ -1250,12 +1106,6 @@ async def load_aio_clients(
for i in range(connect_retries):
try:
log.info(
'Trying `ib_async` connect\n'
f'{host}: {port}\n'
f'clientId: {client_id}\n'
f'timeout: {connect_timeout}\n'
)
await ib.connectAsync(
host,
port,
@ -1270,9 +1120,7 @@ async def load_aio_clients(
client = Client(ib=ib, config=conf)
# update all actor-global caches
log.runtime(
f'Connected and caching `Client` @ {sockaddr!r}'
)
log.info(f"Caching client for {sockaddr}")
_client_cache[sockaddr] = client
break
@ -1287,54 +1135,32 @@ async def load_aio_clients(
OSError,
) as ce:
_err = ce
message: str = (
f'Failed to connect on {host}:{port} after {i} tries with\n'
f'{ib.client.apiError.value()!r}\n\n'
'Retrying with a new client id..\n'
)
log.runtime(message)
else:
# XXX report loudly if we never established after all
# re-tries
log.warning(message)
log.warning(
f'Failed to connect on {host}:{port} for {i} time with,\n'
f'{ib.client.apiError.value()}\n'
'retrying with a new client id..')
# Pre-collect all accounts available for this
# connection and map account names to this client
# instance.
for value in ib.accountValues():
acct_number: str = value.account
acct_number = value.account
acnt_alias: str = accounts_def.inverse.get(acct_number)
if not acnt_alias:
# TODO: should we constuct the below reco-ex from
# the existing config content?
_, path = config.load(
conf_name='brokers',
)
entry = accounts_def.inverse.get(acct_number)
if not entry:
raise ValueError(
'No alias in account section for account!\n'
f'Please add an acnt alias entry to your {path}\n'
'For example,\n\n'
'[ib.accounts]\n'
'margin = {accnt_number!r}\n'
'^^^^^^ <- you need this part!\n\n'
'This ensures `piker` will not leak private acnt info '
'to console output by default!\n'
'No section in brokers.toml for account:'
f' {acct_number}\n'
f'Please add entry to continue using this API client'
)
# surjection of account names to operating clients.
if acnt_alias not in accounts_found:
accounts_found[acnt_alias] = client
# client._acnt_names.add(acnt_alias)
client._acnt_names.append(acnt_alias)
if acct_number not in accounts_found:
accounts_found[entry] = client
if accounts_found:
log.info(
f'Loaded accounts for api client\n\n'
f'{pformat(accounts_found)}\n'
f'Loaded accounts for client @ {host}:{port}\n'
f'{pformat(accounts_found)}'
)
# XXX: why aren't we just updating this directy above
@ -1373,9 +1199,7 @@ async def load_clients_for_trio(
a ``tractor.to_asyncio.open_channel_from()``.
'''
async with load_aio_clients(
disconnect_on_exit=False,
) as accts2clients:
async with load_aio_clients() as accts2clients:
to_trio.send_nowait(accts2clients)
@ -1501,7 +1325,7 @@ class MethodProxy:
self,
pattern: str,
) -> dict[str, Any] | trio.Event:
) -> Union[dict[str, Any], trio.Event]:
ev = self.event_table.get(pattern)
@ -1541,7 +1365,7 @@ async def open_aio_client_method_relay(
msg: tuple[str, dict] | dict | None = await from_trio.get()
match msg:
case None: # termination sentinel
log.info('asyncio `Client` method-proxy SHUTDOWN!')
print('asyncio PROXY-RELAY SHUTDOWN')
break
case (meth_name, kwargs):

View File

@ -20,7 +20,7 @@ Order and trades endpoints for use with ``piker``'s EMS.
"""
from __future__ import annotations
from contextlib import ExitStack
# from collections import ChainMap
from collections import ChainMap
from functools import partial
from pprint import pformat
import time
@ -1183,14 +1183,7 @@ async def deliver_trade_events(
pos
and fill
):
now_cr: CommissionReport = fill.commissionReport
if (now_cr != cr):
log.warning(
'UhhHh ib updated the commission report mid-fill..?\n'
f'was: {pformat(cr)}\n'
f'now: {pformat(now_cr)}\n'
)
assert fill.commissionReport == cr
await emit_pp_update(
ems_stream,
accounts_def,

View File

@ -25,7 +25,6 @@ from contextlib import (
from dataclasses import asdict
from datetime import datetime
from functools import partial
from pprint import pformat
from math import isnan
import time
from typing import (
@ -37,13 +36,7 @@ from typing import (
from async_generator import aclosing
import ib_insync as ibis
import numpy as np
from pendulum import (
now,
from_timestamp,
# DateTime,
Duration,
duration as mk_duration,
)
import pendulum
import tractor
import trio
from trio_typing import TaskStatus
@ -52,9 +45,10 @@ from piker.accounting import (
MktPair,
)
from piker.data.validate import FeedInit
from piker.brokers._util import (
from .._util import (
NoData,
DataUnavailable,
SymbolNotFound,
)
from .api import (
# _adhoc_futes_set,
@ -165,13 +159,13 @@ async def open_history_client(
head_dt: None | datetime = None
if (
# fx cons seem to not provide this endpoint?
# TODO: guard against all contract types which don't
# support it?
'idealpro' not in fqme
):
head_dt: datetime | None = await proxy.maybe_get_head_time(
fqme=fqme
)
try:
head_dt = await proxy.get_head_time(fqme=fqme)
except RequestError:
log.warning(f'Unable to get head time: {fqme} ?')
pass
async def get_hist(
timeframe: float,
@ -179,15 +173,8 @@ async def open_history_client(
start_dt: datetime | None = None,
) -> tuple[np.ndarray, str]:
nonlocal max_timeout, mean, count
if (
start_dt
and start_dt.timestamp() == 0
):
await tractor.pause()
query_start = time.time()
out, timedout = await get_bars(
proxy,
@ -208,48 +195,24 @@ async def open_history_client(
f'mean: {mean}'
)
if (
out is None
):
# could be trying to retreive bars over weekend
if out is None:
log.error(f"Can't grab bars starting at {end_dt}!?!?")
raise NoData(
f'{end_dt}',
# frame_size=2000,
)
if (
end_dt
and head_dt
and end_dt <= head_dt
):
raise DataUnavailable(
f'First timestamp is {head_dt}\n'
f'But {end_dt} was requested..'
)
raise DataUnavailable(f'First timestamp is {head_dt}')
else:
raise NoData(
info={
'fqme': fqme,
'head_dt': head_dt,
'start_dt': start_dt,
'end_dt': end_dt,
'timedout': timedout,
},
)
# also see return type for `get_bars()`
bars: ibis.objects.BarDataList
bars_array: np.ndarray
first_dt: datetime
last_dt: datetime
(
bars,
bars_array,
first_dt,
last_dt,
) = out
# TODO: audit the sampling period here as well?
# timestep should always be at least as large as the
# period step.
# tdiff: np.ndarray = np.diff(bars_array['time'])
# if (tdiff < timeframe).any():
# await tractor.pause()
bars, bars_array, first_dt, last_dt = out
# volume cleaning since there's -ve entries,
# wood luv to know what crookery that is..
@ -263,18 +226,7 @@ async def open_history_client(
# quite sure why.. needs some tinkering and probably
# a lookthrough of the ``ib_insync`` machinery, for eg. maybe
# we have to do the batch queries on the `asyncio` side?
yield (
get_hist,
{
'erlangs': 1, # max conc reqs
'rate': 3, # max req rate
'frame_types': { # expected frame sizes
1: mk_duration(seconds=2e3),
60: mk_duration(days=2),
}
},
)
yield get_hist, {'erlangs': 1, 'rate': 3}
_pacing: str = (
@ -419,11 +371,7 @@ async def get_bars(
while _failed_resets < max_failed_resets:
try:
(
bars,
bars_array,
dt_duration,
) = await proxy.bars(
out = await proxy.bars(
fqme=fqme,
end_dt=end_dt,
sample_period_s=timeframe,
@ -434,58 +382,44 @@ async def get_bars(
# current impl) to detect a cancel case.
# timeout=timeout,
)
# usually either a request during a venue closure
# or into a large (weekend) closure gap.
if not bars:
# no data returned?
log.warning(
'History frame is blank?\n'
f'start_dt: {start_dt}\n'
f'end_dt: {end_dt}\n'
f'duration: {dt_duration}\n'
)
# NOTE: REQUIRED to pass back value..
result = None
return None
if out is None:
raise NoData(f'{end_dt}')
bars, bars_array, dt_duration = out
# not enough bars signal, likely due to venue
# operational gaps.
if end_dt:
dur_s: float = len(bars) * timeframe
bars_dur = Duration(seconds=dur_s)
dt_dur_s: float = dt_duration.in_seconds()
if dur_s < dt_dur_s:
log.warning(
'History frame is shorter then expected?\n'
f'start_dt: {start_dt}\n'
f'end_dt: {end_dt}\n'
f'duration: {dt_dur_s}\n'
f'frame duration seconds: {dur_s}\n'
f'dur diff: {dt_duration - bars_dur}\n'
too_little: bool = False
if (
end_dt
and (
not bars
or (too_little :=
start_dt
and (len(bars) * timeframe)
< dt_duration.in_seconds()
)
# NOTE: we used to try to get a minimal
# set of bars by recursing but this ran
# into possible infinite query loops
# when logic in the `Client.bars()` dt
# diffing went bad. So instead for now
# we just return the
# shorter-then-expected history with
# a warning.
# TODO: in the future it prolly makes
# the most send to do venue operating
# hours lookup and
# timestamp-in-operating-range set
# checking to know for sure if we can
# safely and quickly ignore non-uniform history
# frame timestamp gaps..
# end_dt -= dt_duration
# continue
# await tractor.pause()
)
):
if (
end_dt
or too_little
):
log.warning(
f'History is blank for {dt_duration} from {end_dt}'
)
end_dt -= dt_duration
continue
first_dt = from_timestamp(
raise NoData(f'{end_dt}')
if bars_array is None:
raise SymbolNotFound(fqme)
first_dt = pendulum.from_timestamp(
bars[0].date.timestamp())
last_dt = from_timestamp(
last_dt = pendulum.from_timestamp(
bars[-1].date.timestamp())
time = bars_array['time']
@ -498,7 +432,6 @@ async def get_bars(
if data_cs:
data_cs.cancel()
# NOTE: setting this is critical!
result = (
bars, # ib native
bars_array, # numpy
@ -509,7 +442,6 @@ async def get_bars(
# signal data reset loop parent task
result_ready.set()
# NOTE: this isn't getting collected anywhere!
return result
except RequestError as err:
@ -535,7 +467,7 @@ async def get_bars(
if end_dt is not None:
end_dt = end_dt.subtract(days=1)
elif end_dt is None:
end_dt = now().subtract(days=1)
end_dt = pendulum.now().subtract(days=1)
log.warning(
f'NO DATA found ending @ {end_dt}\n'
@ -671,8 +603,8 @@ async def _setup_quote_stream(
# making them mostly useless and explains why the scanner
# is always slow XD
# '293', # Trade count for day
# '294', # Trade rate / minute
# '295', # Vlm rate / minute
'294', # Trade rate / minute
'295', # Vlm rate / minute
),
contract: Contract | None = None,
@ -883,10 +815,7 @@ async def stream_quotes(
proxy: MethodProxy
mkt: MktPair
details: ibis.ContractDetails
async with (
open_data_client() as proxy,
# trio.open_nursery() as tn,
):
async with open_data_client() as proxy:
mkt, details = await get_mkt_info(
sym,
proxy=proxy, # passed to avoid implicit client load
@ -906,50 +835,30 @@ async def stream_quotes(
init_msgs.append(init_msg)
con: Contract = details.contract
first_ticker: Ticker | None = None
with trio.move_on_after(1):
first_ticker: Ticker = await proxy.get_quote(
contract=con,
raise_on_timeout=False,
)
if first_ticker:
first_ticker: Ticker = await proxy.get_quote(contract=con)
first_quote: dict = normalize(first_ticker)
# TODO: we need a stack-oriented log levels filters for
# this!
# log.info(message, filter={'stack': 'live_feed'}) ?
log.runtime(
'Rxed init quote:\n\n'
f'{pformat(first_quote)}\n'
log.warning(f'FIRST QUOTE: {first_quote}')
# TODO: we should instead spawn a task that waits on a feed to start
# and let it wait indefinitely..instead of this hard coded stuff.
with trio.move_on_after(1):
first_ticker = await proxy.get_quote(
contract=con,
raise_on_timeout=True,
)
# NOTE: it might be outside regular trading hours for
# assets with "standard venue operating hours" so we
# only "pretend the feed is live" when the dst asset
# type is NOT within the NON-NORMAL-venue set: aka not
# commodities, forex or crypto currencies which CAN
# always return a NaN on a snap quote request during
# normal venue hours. In the case of a closed venue
# (equitiies, futes, bonds etc.) we at least try to
# grab the OHLC history.
# it might be outside regular trading hours so see if we can at
# least grab history.
if (
first_ticker
and
isnan(first_ticker.last)
# SO, if the last quote price value is NaN we ONLY
# "pretend to do" `feed_is_live.set()` if it's a known
# dst asset venue with a lot of closed operating hours.
isnan(first_ticker.last) # last quote price value is nan
and mkt.dst.atype not in {
'commodity',
'fiat',
'crypto',
}
):
task_status.started((
init_msgs,
first_quote,
))
task_status.started((init_msgs, first_quote))
# it's not really live but this will unblock
# the brokerd feed task to tell the ui to update?
@ -959,28 +868,6 @@ async def stream_quotes(
await trio.sleep_forever()
return # we never expect feed to come up?
# TODO: we should instead spawn a task that waits on a feed
# to start and let it wait indefinitely..instead of this
# hard coded stuff.
# async def wait_for_first_quote():
# with trio.CancelScope() as cs:
# XXX: MUST acquire a ticker + first quote before starting
# the live quotes loop!
# with trio.move_on_after(1):
first_ticker = await proxy.get_quote(
contract=con,
raise_on_timeout=True,
)
first_quote: dict = normalize(first_ticker)
# TODO: we need a stack-oriented log levels filters for
# this!
# log.info(message, filter={'stack': 'live_feed'}) ?
log.runtime(
'Rxed init quote:\n'
f'{pformat(first_quote)}'
)
cs: trio.CancelScope | None = None
startup: bool = True
while (
@ -1001,11 +888,8 @@ async def stream_quotes(
# only on first entry at feed boot up
if startup:
startup: bool = False
task_status.started((
init_msgs,
first_quote,
))
startup = False
task_status.started((init_msgs, first_quote))
# start a stream restarter task which monitors the
# data feed event.
@ -1029,7 +913,7 @@ async def stream_quotes(
# generally speaking these feeds don't
# include vlm data.
atype: str = mkt.dst.atype
atype = mkt.dst.atype
log.info(
f'No-vlm {mkt.fqme}@{atype}, skipping quote poll'
)
@ -1065,8 +949,7 @@ async def stream_quotes(
quote = normalize(ticker)
log.debug(f"First ticker received {quote}")
# tell data-layer spawner-caller that live
# quotes are now streaming.
# tell caller quotes are now coming in live
feed_is_live.set()
# last = time.time()

View File

@ -31,11 +31,7 @@ from typing import (
)
from bidict import bidict
from pendulum import (
DateTime,
parse,
from_timestamp,
)
import pendulum
from ib_insync import (
Contract,
Commodity,
@ -70,11 +66,10 @@ tx_sort: Callable = partial(
iter_by_dt,
parsers={
'dateTime': parse_flex_dt,
'datetime': parse,
# XXX: for some some fucking 2022 and
# back options records.. f@#$ me..
'date': parse,
'datetime': pendulum.parse,
# for some some fucking 2022 and
# back options records...fuck me.
'date': pendulum.parse,
}
)
@ -94,38 +89,15 @@ def norm_trade(
conid: int = str(record.get('conId') or record['conid'])
bs_mktid: str = str(conid)
comms = record.get('commission')
if comms is None:
comms = -1*record['ibCommission']
# NOTE: sometimes weird records (like BTTX?)
# have no field for this?
comms: float = -1 * (
record.get('commission')
or record.get('ibCommission')
or 0
)
if not comms:
log.warning(
'No commissions found for record?\n'
f'{pformat(record)}\n'
)
price: float = (
record.get('price')
or record.get('tradePrice')
)
if price is None:
log.warning(
'No `price` field found in record?\n'
'Skipping normalization..\n'
f'{pformat(record)}\n'
)
return None
price = record.get('price') or record['tradePrice']
# the api doesn't do the -/+ on the quantity for you but flex
# records do.. are you fucking serious ib...!?
size: float|int = (
record.get('quantity')
or record['shares']
) * {
size = record.get('quantity') or record['shares'] * {
'BOT': 1,
'SLD': -1,
}[record['side']]
@ -156,31 +128,26 @@ def norm_trade(
# otype = tail[6]
# strike = tail[7:]
log.warning(
f'Skipping option contract -> NO SUPPORT YET!\n'
f'{symbol}\n'
)
print(f'skipping opts contract {symbol}')
return None
# timestamping is way different in API records
dtstr: str = record.get('datetime')
date: str = record.get('date')
flex_dtstr: str = record.get('dateTime')
dtstr = record.get('datetime')
date = record.get('date')
flex_dtstr = record.get('dateTime')
if dtstr or date:
dt: DateTime = parse(dtstr or date)
dt = pendulum.parse(dtstr or date)
elif flex_dtstr:
# probably a flex record with a wonky non-std timestamp..
dt: DateTime = parse_flex_dt(record['dateTime'])
dt = parse_flex_dt(record['dateTime'])
# special handling of symbol extraction from
# flex records using some ad-hoc schema parsing.
asset_type: str = (
record.get('assetCategory')
or record.get('secType')
or 'STK'
)
asset_type: str = record.get(
'assetCategory'
) or record.get('secType', 'STK')
if (expiry := (
record.get('lastTradeDateOrContractMonth')
@ -390,7 +357,6 @@ def norm_trade_records(
if txn is None:
continue
# inject txns sorted by datetime
insort(
records,
txn,
@ -439,7 +405,7 @@ def api_trades_to_ledger_entries(
txn_dict[attr_name] = val
tid = str(txn_dict['execId'])
dt = from_timestamp(txn_dict['time'])
dt = pendulum.from_timestamp(txn_dict['time'])
txn_dict['datetime'] = str(dt)
acctid = accounts[txn_dict['acctNumber']]

View File

@ -209,15 +209,12 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
break
ib_client = proxy._aio_ns.ib
log.info(
f'Using API client for symbol-search\n'
f'{ib_client}\n'
)
log.info(f'Using {ib_client} for symbol search')
last = time.time()
async for pattern in stream:
log.info(f'received {pattern}')
now: float = time.time()
now = time.time()
# this causes tractor hang...
# assert 0
@ -264,9 +261,7 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
# defined adhoc symbol set.
stock_results = []
async def extend_results(
target: Awaitable[list]
) -> None:
async def stash_results(target: Awaitable[list]):
try:
results = await target
except tractor.trionics.Lagged:
@ -279,7 +274,7 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
with trio.move_on_after(3) as cs:
async with trio.open_nursery() as sn:
sn.start_soon(
extend_results,
stash_results,
proxy.search_symbols(
pattern=pattern,
upto=5,
@ -294,10 +289,8 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
f'Search timeout? {proxy._aio_ns.ib.client}'
)
continue
elif stock_results:
else:
break
# else:
# await tractor.pause()
# # match against our ad-hoc set immediately
# adhoc_matches = fuzzy.extract(
@ -525,21 +518,7 @@ async def get_mkt_info(
venue = con.primaryExchange or con.exchange
price_tick: Decimal = Decimal(str(details.minTick))
ib_min_tick_gt_2: Decimal = Decimal('0.01')
if (
price_tick < ib_min_tick_gt_2
):
# TODO: we need to add some kinda dynamic rounding sys
# to our MktPair i guess?
# not sure where the logic should sit, but likely inside
# the `.clearing._ems` i suppose...
log.warning(
'IB seems to disallow a min price tick < 0.01 '
'when the price is > 2.0..?\n'
f'Decreasing min tick precision for {fqme} to 0.01'
)
# price_tick = ib_min_tick
# await tractor.pause()
# price_tick: Decimal = Decimal('0.01')
if atype == 'stock':
# XXX: GRRRR they don't support fractional share sizes for

View File

@ -27,8 +27,8 @@ from typing import (
)
import time
import httpx
import pendulum
import asks
import numpy as np
import urllib.parse
import hashlib
@ -60,11 +60,6 @@ log = get_logger('piker.brokers.kraken')
# <uri>/<version>/
_url = 'https://api.kraken.com/0'
_headers: dict[str, str] = {
'User-Agent': 'krakenex/2.1.0 (+https://github.com/veox/python3-krakenex)'
}
# TODO: this is the only backend providing this right?
# in which case we should drop it from the defaults and
# instead make a custom fields descr in this module!
@ -75,18 +70,12 @@ _symbol_info_translation: dict[str, str] = {
def get_config() -> dict[str, Any]:
'''
Load our section from `piker/brokers.toml`.
'''
conf, path = config.load(
conf_name='brokers',
touch_if_dne=True,
)
if (section := conf.get('kraken')) is None:
log.warning(
f'No config section found for kraken in {path}'
)
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
@ -140,15 +129,16 @@ class Client:
def __init__(
self,
config: dict[str, str],
httpx_client: httpx.AsyncClient,
name: str = '',
api_key: str = '',
secret: str = ''
) -> None:
self._sesh: httpx.AsyncClient = httpx_client
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._name = name
self._api_key = api_key
self._secret = secret
@ -170,9 +160,10 @@ class Client:
method: str,
data: dict,
) -> dict[str, Any]:
resp: httpx.Response = await self._sesh.post(
url=f'/public/{method}',
resp = await self._sesh.post(
path=f'/public/{method}',
json=data,
timeout=float('inf')
)
return resproc(resp, log)
@ -183,18 +174,18 @@ class Client:
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,
),
'Content-Type':
'application/x-www-form-urlencoded',
'API-Key':
self._api_key,
'API-Sign':
get_kraken_signature(uri_path, data, self._secret)
}
resp: httpx.Response = await self._sesh.post(
url=f'/private/{method}',
resp = await self._sesh.post(
path=f'/private/{method}',
data=data,
headers=headers,
timeout=float('inf')
)
return resproc(resp, log)
@ -668,19 +659,10 @@ class Client:
@acm
async def get_client() -> Client:
conf: dict[str, Any] = get_config()
async with httpx.AsyncClient(
base_url=_url,
headers=_headers,
# TODO: is there a way to numerate this?
# https://www.python-httpx.org/advanced/clients/#why-use-a-client
# connections=4
) as trio_client:
conf = get_config()
if conf:
client = Client(
conf,
httpx_client=trio_client,
# TODO: don't break these up and just do internal
# conf lookups instead..
@ -689,10 +671,7 @@ async def get_client() -> Client:
secret=conf['secret']
)
else:
client = Client(
conf={},
httpx_client=trio_client,
)
client = Client({})
# at startup, load all symbols, and asset info in
# batch requests.

View File

@ -612,18 +612,18 @@ async def open_trade_dialog(
# enter relay loop
await handle_order_updates(
client=client,
ws=ws,
ws_stream=stream,
ems_stream=ems_stream,
apiflows=apiflows,
ids=ids,
reqids2txids=reqids2txids,
acnt=acnt,
ledger=ledger,
acctid=acctid,
acc_name=acc_name,
token=token,
client,
ws,
stream,
ems_stream,
apiflows,
ids,
reqids2txids,
acnt,
api_trans,
acctid,
acc_name,
token,
)
@ -639,8 +639,7 @@ async def handle_order_updates(
# transaction records which will be updated
# on new trade clearing events (aka order "fills")
ledger: TransactionLedger,
# ledger_trans: dict[str, Transaction],
ledger_trans: dict[str, Transaction],
acctid: str,
acc_name: str,
token: str,
@ -700,8 +699,7 @@ async def handle_order_updates(
# if tid not in ledger_trans
}
for tid, trade in trades.items():
# assert tid not in ledger_trans
assert tid not in ledger
assert tid not in ledger_trans
txid = trade['ordertxid']
reqid = trade.get('userref')
@ -749,17 +747,11 @@ async def handle_order_updates(
client,
api_name_set='wsname',
)
ppmsgs: list[BrokerdPosition] = trades2pps(
acnt=acnt,
ledger=ledger,
acctid=acctid,
new_trans=new_trans,
ppmsgs = trades2pps(
acnt,
acctid,
new_trans,
)
# ppmsgs = trades2pps(
# acnt,
# acctid,
# new_trans,
# )
for pp_msg in ppmsgs:
await ems_stream.send(pp_msg)

View File

@ -16,9 +16,10 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Kucoin cex API backend.
Kucoin broker backend
'''
from contextlib import (
asynccontextmanager as acm,
aclosing,
@ -40,8 +41,9 @@ from typing import (
import wsproto
from uuid import uuid4
from rapidfuzz import process as fuzzy
from trio_typing import TaskStatus
import httpx
import asks
from bidict import bidict
import numpy as np
import pendulum
@ -62,7 +64,7 @@ from piker._cacheables import (
)
from piker.log import get_logger
from piker.data.validate import FeedInit
from piker.types import Struct # NOTE, this is already a `tractor.msg.Struct`
from piker.types import Struct
from piker.data import (
def_iohlcv_fields,
match_from_pairs,
@ -98,18 +100,9 @@ class KucoinMktPair(Struct, frozen=True):
def size_tick(self) -> Decimal:
return Decimal(str(self.quoteMinSize))
callauctionFirstStageStartTime: None|float
callauctionIsEnabled: bool
callauctionPriceCeiling: float|None
callauctionPriceFloor: float|None
callauctionSecondStageStartTime: float|None
callauctionThirdStageStartTime: float|None
enableTrading: bool
feeCategory: int
feeCurrency: str
isMarginEnabled: bool
makerFeeCoefficient: float
market: str
minFunds: float
name: str
@ -119,10 +112,7 @@ class KucoinMktPair(Struct, frozen=True):
quoteIncrement: float
quoteMaxSize: float
quoteMinSize: float
st: bool
symbol: str # our bs_mktid, kucoin's internal id
takerFeeCoefficient: float
tradingStartTime: float|None
class AccountTrade(Struct, frozen=True):
@ -223,12 +213,8 @@ def get_config() -> BrokerConfig | None:
class Client:
def __init__(
self,
httpx_client: httpx.AsyncClient,
) -> None:
self._http: httpx.AsyncClient = httpx_client
self._config: BrokerConfig|None = get_config()
def __init__(self) -> None:
self._config: BrokerConfig | None = get_config()
self._pairs: dict[str, KucoinMktPair] = {}
self._fqmes2mktids: bidict[str, str] = bidict()
self._bars: list[list[float]] = []
@ -242,24 +228,18 @@ class Client:
) -> dict[str, str | bytes]:
'''
Generate authenticated request headers:
Generate authenticated request headers
https://docs.kucoin.com/#authentication
https://www.kucoin.com/docs/basic-info/connection-method/authentication/creating-a-request
https://www.kucoin.com/docs/basic-info/connection-method/authentication/signing-a-message
'''
if not self._config:
raise ValueError(
'No config found when trying to send authenticated request'
)
'No config found when trying to send authenticated request')
str_to_sign = (
str(int(time.time() * 1000))
+
action
+
f'/api/{api}/{endpoint.lstrip("/")}'
+ action + f'/api/{api}/{endpoint.lstrip("/")}'
)
signature = base64.b64encode(
@ -270,7 +250,6 @@ class Client:
).digest()
)
# TODO: can we cache this between calls?
passphrase = base64.b64encode(
hmac.new(
self._config.key_secret.encode('utf-8'),
@ -292,10 +271,8 @@ class Client:
self,
action: Literal['POST', 'GET'],
endpoint: str,
api: str = 'v2',
headers: dict = {},
) -> Any:
'''
Generic request wrapper for Kucoin API
@ -308,19 +285,14 @@ class Client:
api,
)
req_meth: Callable = getattr(
self._http,
action.lower(),
)
res = await req_meth(
url=f'/{api}/{endpoint}',
headers=headers,
)
json: dict = res.json()
if (data := json.get('data')) is not None:
return data
api_url = f'https://api.kucoin.com/api/{api}/{endpoint}'
res = await asks.request(action, api_url, headers=headers)
json = res.json()
if 'data' in json:
return json['data']
else:
api_url: str = self._http.base_url
log.error(
f'Error making request to {api_url} ->\n'
f'{pformat(res)}'
@ -340,7 +312,7 @@ class Client:
'''
token_type = 'private' if private else 'public'
try:
data: dict[str, Any]|None = await self._request(
data: dict[str, Any] | None = await self._request(
'POST',
endpoint=f'bullet-{token_type}',
api='v1'
@ -378,8 +350,8 @@ class Client:
currencies: dict[str, Currency] = {}
entries: list[dict] = await self._request(
'GET',
endpoint='currencies',
api='v1',
endpoint='currencies',
)
for entry in entries:
curr = Currency(**entry).copy()
@ -395,22 +367,13 @@ class Client:
dict[str, KucoinMktPair],
bidict[str, KucoinMktPair],
]:
entries = await self._request(
'GET',
endpoint='symbols',
)
entries = await self._request('GET', 'symbols')
log.info(f' {len(entries)} Kucoin market pairs fetched')
pairs: dict[str, KucoinMktPair] = {}
fqmes2mktids: bidict[str, str] = bidict()
for item in entries:
try:
pair = pairs[item['name']] = KucoinMktPair(**item)
except TypeError as te:
raise TypeError(
'`KucoinMktPair` and reponse fields do not match ??\n'
f'{KucoinMktPair.fields_diff(item)}\n'
) from te
fqmes2mktids[
item['name'].lower().replace('-', '')
] = pair.name
@ -453,7 +416,8 @@ class Client:
await self.get_mkt_pairs()
assert self._pairs, '`Client.get_mkt_pairs()` was never called!?'
matches: dict[str, KucoinMktPair] = match_from_pairs(
matches: dict[str, Pair] = match_from_pairs(
pairs=self._pairs,
# query=pattern.upper(),
query=pattern.upper(),
@ -605,18 +569,10 @@ def fqme_to_kucoin_sym(
@acm
async def get_client() -> AsyncGenerator[Client, None]:
'''
Load an API `Client` preconfigured from user settings
client = Client()
'''
async with (
httpx.AsyncClient(
base_url='https://api.kucoin.com/api',
) as trio_client,
):
client = Client(httpx_client=trio_client)
async with trio.open_nursery() as tn:
tn.start_soon(client.get_mkt_pairs)
async with trio.open_nursery() as n:
n.start_soon(client.get_mkt_pairs)
await client.get_currencies()
yield client
@ -655,7 +611,7 @@ async def open_ping_task(
await trio.sleep((ping_interval - 1000) / 1000)
await ws.send_msg({'id': connect_id, 'type': 'ping'})
log.warning('Starting ping task for kucoin ws connection')
log.info('Starting ping task for kucoin ws connection')
n.start_soon(ping_server)
yield
@ -667,14 +623,9 @@ async def open_ping_task(
async def get_mkt_info(
fqme: str,
) -> tuple[
MktPair,
KucoinMktPair,
]:
) -> tuple[MktPair, KucoinMktPair]:
'''
Query for and return both a `piker.accounting.MktPair` and
`KucoinMktPair` from provided `fqme: str`
(fully-qualified-market-endpoint).
Query for and return a `MktPair` and `KucoinMktPair`.
'''
async with open_cached_client('kucoin') as client:
@ -749,8 +700,6 @@ async def stream_quotes(
log.info(f'Starting up quote stream(s) for {symbols}')
for sym_str in symbols:
mkt: MktPair
pair: KucoinMktPair
mkt, pair = await get_mkt_info(sym_str)
init_msgs.append(
FeedInit(mkt_info=mkt)
@ -758,11 +707,7 @@ async def stream_quotes(
ws: NoBsWs
token, ping_interval = await client._get_ws_token()
log.info('API reported ping_interval: {ping_interval}\n')
connect_id: str = str(uuid4())
typ: str
quote: dict
connect_id = str(uuid4())
async with (
open_autorecon_ws(
(
@ -776,37 +721,20 @@ async def stream_quotes(
),
) as ws,
open_ping_task(ws, ping_interval, connect_id),
aclosing(
iter_normed_quotes(
ws, sym_str
)
) as iter_quotes,
aclosing(stream_messages(ws, sym_str)) as msg_gen,
):
typ, quote = await anext(iter_quotes)
typ, quote = await anext(msg_gen)
while typ != 'trade':
# take care to not unblock here until we get a real
# trade quote?
# ^TODO, remove this right?
# -[ ] what often blocks chart boot/new-feed switching
# since we'ere waiting for a live quote instead of just
# loading history afap..
# |_ XXX, not sure if we require a bit of rework to core
# feed init logic or if backends justg gotta be
# changed up.. feel like there was some causality
# dilema prolly only seen with IB too..
# while typ != 'trade':
# typ, quote = await anext(iter_quotes)
# trade quote
typ, quote = await anext(msg_gen)
task_status.started((init_msgs, quote))
feed_is_live.set()
# XXX NOTE, DO NOT include the `.<backend>` suffix!
# OW the sampling loop will not broadcast correctly..
# since `bus._subscribers.setdefault(bs_fqme, set())`
# is used inside `.data.open_feed_bus()` !!!
topic: str = mkt.bs_fqme
async for typ, quote in iter_quotes:
await send_chan.send({topic: quote})
async for typ, msg in msg_gen:
await send_chan.send({sym_str: msg})
@acm
@ -861,7 +789,7 @@ async def subscribe(
)
async def iter_normed_quotes(
async def stream_messages(
ws: NoBsWs,
sym: str,
@ -892,9 +820,6 @@ async def iter_normed_quotes(
yield 'trade', {
'symbol': sym,
# TODO, is 'last' even used elsewhere/a-good
# semantic? can't we just read the ticks with our
# .data.ticktools.frame_ticks()`/
'last': trade_data.price,
'brokerd_ts': last_trade_ts,
'ticks': [
@ -987,7 +912,7 @@ async def open_history_client(
if end_dt is None:
inow = round(time.time())
log.debug(
print(
f'difference in time between load and processing'
f'{inow - times[-1]}'
)

View File

@ -1,49 +0,0 @@
piker.clearing
______________
trade execution-n-control subsys for both live and paper trading as
well as algo-trading manual override/interaction across any backend
broker and data provider.
avail UIs
*********
order ctl
---------
the `piker.clearing` subsys is exposed mainly though
the `piker chart` GUI as a "chart trader" style UX and
is automatically enabled whenever a chart is opened.
.. ^TODO, more prose here!
the "manual" order control features are exposed via the
`piker.ui.order_mode` API and can pretty much always be
used (at least) in simulated-trading mode, aka "paper"-mode, and
the micro-manual is as follows:
``order_mode`` (
edge triggered activation by any of the following keys,
``mouse-click`` on y-level to submit at that price
):
- ``f``/ ``ctl-f`` to stage buy
- ``d``/ ``ctl-d`` to stage sell
- ``a`` to stage alert
``search_mode`` (
``ctl-l`` or ``ctl-space`` to open,
``ctl-c`` or ``ctl-space`` to close
) :
- begin typing to have symbol search automatically lookup
symbols from all loaded backend (broker) providers
- arrow keys and mouse click to navigate selection
- vi-like ``ctl-[hjkl]`` for navigation
position (pp) mgmt
------------------
you can also configure your position allocation limits from the
sidepane.
.. ^TODO, explain and provide tut once more refined!

View File

@ -913,17 +913,8 @@ async def translate_and_relay_brokerd_events(
}:
if (
not oid
# try to lookup any order dialog by
# brokerd-side id..
and not (
oid := book._ems2brokerd_ids.inverse.get(reqid)
)
):
log.warning(
f'Rxed unusable error-msg:\n'
f'{brokerd_msg}'
)
continue
oid: str = book._ems2brokerd_ids.inverse[reqid]
msg = BrokerdError(**brokerd_msg)

View File

@ -26,7 +26,6 @@ from contextlib import asynccontextmanager as acm
from datetime import datetime
from operator import itemgetter
import itertools
from pprint import pformat
import time
from typing import (
Callable,
@ -40,7 +39,6 @@ import trio
import tractor
from piker.brokers import get_brokermod
from piker.service import find_service
from piker.accounting import (
Account,
MktPair,
@ -698,12 +696,7 @@ async def open_trade_dialog(
# sanity check all the mkt infos
for fqme, flume in feed.flumes.items():
mkt: MktPair = symcache.mktmaps.get(fqme) or mkt_by_fqme[fqme]
if mkt != flume.mkt:
diff: tuple = mkt - flume.mkt
log.warning(
'MktPair sig mismatch?\n'
f'{pformat(diff)}'
)
assert mkt == flume.mkt
get_cost: Callable = getattr(
brokermod,
@ -761,7 +754,7 @@ async def open_paperboi(
service_name = f'paperboi.{broker}'
async with (
find_service(service_name) as portal,
tractor.find_actor(service_name) as portal,
tractor.open_nursery() as an,
):
# NOTE: only spawn if no paperboi already is up since we likely
@ -784,10 +777,8 @@ async def open_paperboi(
) as (ctx, first):
yield ctx, first
# ALWAYS tear down connection AND any newly spawned
# paperboi actor on exit!
# tear down connection and any spawned actor on exit
await ctx.cancel()
if we_spawned:
await portal.cancel_actor()

View File

@ -1,33 +1,30 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet
# (in stewardship for pikers, everywhere.)
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of 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 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.
# 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/>.
# 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/>.
'''
CLI commons.
'''
import os
# from contextlib import AsyncExitStack
from contextlib import AsyncExitStack
from types import ModuleType
import click
import trio
import tractor
from tractor._multiaddr import parse_maddr
from ..log import (
get_console_log,
@ -45,97 +42,35 @@ from .. import config
log = get_logger('piker.cli')
def load_trans_eps(
network: dict | None = None,
maddrs: list[tuple] | None = None,
) -> dict[str, dict[str, dict]]:
# transport-oriented endpoint multi-addresses
eps: dict[
str, # service name, eg. `pikerd`, `emsd`..
# libp2p style multi-addresses parsed into prot layers
list[dict[str, str | int]]
] = {}
if (
network
and not maddrs
):
# load network section and (attempt to) connect all endpoints
# which are reachable B)
for key, maddrs in network.items():
match key:
# TODO: resolve table across multiple discov
# prots Bo
case 'resolv':
pass
case 'pikerd':
dname: str = key
for maddr in maddrs:
layers: dict = parse_maddr(maddr)
eps.setdefault(
dname,
[],
).append(layers)
elif maddrs:
# presume user is manually specifying the root actor ep.
eps['pikerd'] = [parse_maddr(maddr)]
return eps
@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(
'--loglevel',
'-l',
default='warning',
help='Logging level',
)
@click.option(
'--tl',
'--tsdb',
is_flag=True,
help='Enable tractor-runtime logs',
help='Enable local ``marketstore`` instance'
)
@click.option(
'--pdb',
'--es',
is_flag=True,
help='Enable tractor debug mode',
help='Enable local ``elasticsearch`` instance'
)
@click.option(
'--maddr',
'-m',
default=None,
help='Multiaddrs to bind or contact',
)
# @click.option(
# '--tsdb',
# is_flag=True,
# help='Enable local ``marketstore`` instance'
# )
# @click.option(
# '--es',
# is_flag=True,
# help='Enable local ``elasticsearch`` instance'
# )
def pikerd(
maddr: list[str] | None,
loglevel: str,
host: str,
port: int,
tl: bool,
pdb: bool,
# tsdb: bool,
# es: bool,
tsdb: bool,
es: bool,
):
'''
Spawn the piker broker-daemon.
'''
from tractor.devx import maybe_open_crash_handler
with maybe_open_crash_handler(pdb=pdb):
log = get_console_log(loglevel, name='cli')
if pdb:
@ -147,32 +82,12 @@ def pikerd(
"\n"
))
# service-actor registry endpoint socket-address set
regaddrs: list[tuple[str, int]] = []
conf, _ = config.load(
conf_name='conf',
reg_addr: None | tuple[str, int] = None
if host or port:
reg_addr = (
host or _default_registry_host,
int(port) or _default_registry_port,
)
network: dict = conf.get('network')
if (
network is None
and not maddr
):
regaddrs = [(
_default_registry_host,
_default_registry_port,
)]
else:
eps: dict = load_trans_eps(
network,
maddr,
)
for layers in eps['pikerd']:
regaddrs.append((
layers['ipv4']['addr'],
layers['tcp']['port'],
))
from .. import service
@ -181,35 +96,31 @@ def pikerd(
async with (
service.open_pikerd(
registry_addrs=regaddrs,
loglevel=loglevel,
debug_mode=pdb,
registry_addr=reg_addr,
) as service_mngr, # normally delivers a ``Services`` handle
# AsyncExitStack() as stack,
AsyncExitStack() as stack,
):
# TODO: spawn all other sub-actor daemons according to
# multiaddress endpoint spec defined by user config
assert service_mngr
if tsdb:
dname, conf = await stack.enter_async_context(
service.marketstore.start_ahab_daemon(
service_mngr,
loglevel=loglevel,
)
)
log.info(f'TSDB `{dname}` up with conf:\n{conf}')
# if tsdb:
# dname, conf = await stack.enter_async_context(
# service.marketstore.start_ahab_daemon(
# service_mngr,
# loglevel=loglevel,
# )
# )
# log.info(f'TSDB `{dname}` up with conf:\n{conf}')
# if es:
# dname, conf = await stack.enter_async_context(
# service.elastic.start_ahab_daemon(
# service_mngr,
# loglevel=loglevel,
# )
# )
# log.info(f'DB `{dname}` up with conf:\n{conf}')
if es:
dname, conf = await stack.enter_async_context(
service.elastic.start_ahab_daemon(
service_mngr,
loglevel=loglevel,
)
)
log.info(f'DB `{dname}` up with conf:\n{conf}')
await trio.sleep_forever()
@ -226,24 +137,8 @@ def pikerd(
@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(
'--pdb',
is_flag=True,
help='Enable runtime debug mode ',
)
@click.option(
'--maddr',
'-m',
default=None,
multiple=True,
help='Multiaddr to bind',
)
@click.option(
'--regaddr',
'-r',
default=None,
help='Registrar addr to contact',
)
@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,
@ -251,11 +146,8 @@ def cli(
loglevel: str,
tl: bool,
configdir: str,
pdb: bool,
# TODO: make these list[str] with multiple -m maddr0 -m maddr1
maddr: list[str],
regaddr: str,
host: str,
port: int,
) -> None:
if configdir is not None:
@ -276,20 +168,12 @@ def cli(
}
assert brokermods
# TODO: load endpoints from `conf::[network].pikerd`
# - pikerd vs. regd, separate registry daemon?
# - expose datad vs. brokerd?
# - bind emsd with certain perms on public iface?
regaddrs: list[tuple[str, int]] = regaddr or [(
_default_registry_host,
_default_registry_port,
)]
# TODO: factor [network] section parsing out from pikerd
# above and call it here as well.
# if maddr:
# for addr in maddr:
# layers: dict = parse_maddr(addr)
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,
@ -299,12 +183,7 @@ def cli(
'log': get_console_log(loglevel),
'confdir': config._config_dir,
'wl_path': config._watchlists_data_path,
'registry_addrs': regaddrs,
'pdb': pdb, # debug mode flag
# TODO: endpoint parsing, pinging and binding
# on no existing server.
# 'maddrs': maddr,
'registry_addr': reg_addr,
})
# allow enabling same loglevel in ``tractor`` machinery
@ -351,7 +230,7 @@ def services(config, tl, ports):
def _load_clis() -> None:
# from ..service import elastic # noqa
from ..service import elastic # noqa
from ..brokers import cli # noqa
from ..ui import cli # noqa
from ..watchlists import cli # noqa

View File

@ -104,15 +104,14 @@ def get_app_dir(
# `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
# import pdbp; pdbp.set_trace()
# testdirpath = Path(rvs['piker_vars']['piker_test_dir'])
# assert testdirpath.exists(), 'piker test harness might be borked!?'
# app_name = str(testdirpath)
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 platform.system() == 'Windows':
key = "APPDATA" if roaming else "LOCALAPPDATA"
@ -135,19 +134,14 @@ def get_app_dir(
_click_config_dir: Path = Path(get_app_dir('piker'))
_config_dir: Path = _click_config_dir
_parent_user: str = os.environ.get('SUDO_USER')
# NOTE: when using `sudo` we attempt to determine the non-root user
# and still use their normal config dir.
if (
(_parent_user := os.environ.get('SUDO_USER'))
and
_parent_user != 'root'
):
if _parent_user:
non_root_user_dir = Path(
os.path.expanduser(f'~{_parent_user}')
)
root: str = 'root'
_ccds: str = str(_click_config_dir) # click config dir as string
_ccds: str = str(_click_config_dir) # click config dir string
i_tail: int = int(_ccds.rfind(root) + len(root))
_config_dir = (
non_root_user_dir
@ -252,8 +246,7 @@ def repodir() -> Path:
def load(
# NOTE: always appended with .toml suffix
conf_name: str = 'conf',
conf_name: str = 'brokers', # appended with .toml suffix
path: Path | None = None,
decode: Callable[
@ -364,9 +357,7 @@ def load_accounts(
) -> bidict[str, str | None]:
conf, path = load(
conf_name='brokers',
)
conf, path = load()
accounts = bidict()
for provider_name, section in conf.items():
accounts_section = section.get('accounts')

View File

@ -56,7 +56,6 @@ __all__: list[str] = [
'ShmArray',
'iterticks',
'maybe_open_shm_array',
'match_from_pairs',
'attach_shm_array',
'open_shm_array',
'get_shm_token',

View File

@ -41,11 +41,6 @@ if TYPE_CHECKING:
)
from piker.toolz import Profiler
# default gap between bars: "bar gap multiplier"
# - 0.5 is no overlap between OC arms,
# - 1.0 is full overlap on each neighbor sample
BGM: float = 0.16
class IncrementalFormatter(msgspec.Struct):
'''
@ -518,7 +513,6 @@ class IncrementalFormatter(msgspec.Struct):
class OHLCBarsFmtr(IncrementalFormatter):
x_offset: np.ndarray = np.array([
-0.5,
0,
@ -610,9 +604,8 @@ class OHLCBarsFmtr(IncrementalFormatter):
vr: tuple[int, int],
start: int = 0, # XXX: do we need this?
# 0.5 is no overlap between arms, 1.0 is full overlap
gap: float = BGM,
w: float = 0.16,
) -> tuple[
np.ndarray,
@ -629,7 +622,7 @@ class OHLCBarsFmtr(IncrementalFormatter):
array[:-1],
start,
bar_w=self.index_step_size,
bar_gap=gap * 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'),

View File

@ -33,11 +33,6 @@ from typing import (
)
import tractor
from tractor import (
Context,
MsgStream,
Channel,
)
from tractor.trionics import (
maybe_open_nursery,
)
@ -58,10 +53,7 @@ if TYPE_CHECKING:
from ._sharedmem import (
ShmArray,
)
from .feed import (
_FeedsBus,
Sub,
)
from .feed import _FeedsBus
# highest frequency sample step is 1 second by default, though in
@ -102,7 +94,7 @@ class Sampler:
float,
list[
float,
set[MsgStream]
set[tractor.MsgStream]
],
] = defaultdict(
lambda: [
@ -266,8 +258,8 @@ class Sampler:
f'broadcasting {period_s} -> {last_ts}\n'
# f'consumers: {subs}'
)
borked: set[MsgStream] = set()
sent: set[MsgStream] = set()
borked: set[tractor.MsgStream] = set()
sent: set[tractor.MsgStream] = set()
while True:
try:
for stream in (subs - sent):
@ -322,7 +314,7 @@ class Sampler:
@tractor.context
async def register_with_sampler(
ctx: Context,
ctx: tractor.Context,
period_s: float,
shms_by_period: dict[float, dict] | None = None,
@ -657,7 +649,12 @@ async def sample_and_broadcast(
# eventually block this producer end of the feed and
# thus other consumers still attached.
sub_key: str = broker_symbol.lower()
subs: set[Sub] = bus.get_subs(sub_key)
subs: list[
tuple[
tractor.MsgStream | trio.MemorySendChannel,
float | None, # tick throttle in Hz
]
] = bus.get_subs(sub_key)
# NOTE: by default the broker backend doesn't append
# it's own "name" into the fqme schema (but maybe it
@ -666,40 +663,34 @@ async def sample_and_broadcast(
fqme: str = f'{broker_symbol}.{brokername}'
lags: int = 0
# XXX TODO XXX: speed up this loop in an AOT compiled
# lang (like rust or nim or zig)!
# AND/OR instead of doing a fan out to TCP sockets
# here, we add a shm-style tick queue which readers can
# pull from instead of placing the burden of broadcast
# on solely on this `brokerd` actor. see issues:
# TODO: speed up this loop in an AOT compiled lang (like
# rust or nim or zig) and/or instead of doing a fan out to
# TCP sockets here, we add a shm-style tick queue which
# readers can pull from instead of placing the burden of
# broadcast on solely on this `brokerd` actor. see issues:
# - https://github.com/pikers/piker/issues/98
# - https://github.com/pikers/piker/issues/107
# for (stream, tick_throttle) in subs.copy():
for sub in subs.copy():
ipc: MsgStream = sub.ipc
throttle: float = sub.throttle_rate
for (stream, tick_throttle) in subs.copy():
try:
with trio.move_on_after(0.2) as cs:
if throttle:
send_chan: trio.abc.SendChannel = sub.send_chan
if tick_throttle:
# this is a send mem chan that likely
# pushes to the ``uniform_rate_send()`` below.
try:
send_chan.send_nowait(
stream.send_nowait(
(fqme, quote)
)
except trio.WouldBlock:
overruns[sub_key] += 1
ctx: Context = ipc._ctx
chan: Channel = ctx.chan
ctx = stream._ctx
chan = ctx.chan
log.warning(
f'Feed OVERRUN {sub_key}'
'@{bus.brokername} -> \n'
f'feed @ {chan.uid}\n'
f'throttle = {throttle} Hz'
f'throttle = {tick_throttle} Hz'
)
if overruns[sub_key] > 6:
@ -716,10 +707,10 @@ async def sample_and_broadcast(
f'{sub_key}:'
f'{ctx.cid}@{chan.uid}'
)
await ipc.aclose()
await stream.aclose()
raise trio.BrokenResourceError
else:
await ipc.send(
await stream.send(
{fqme: quote}
)
@ -733,16 +724,16 @@ async def sample_and_broadcast(
trio.ClosedResourceError,
trio.EndOfChannel,
):
ctx: Context = ipc._ctx
chan: Channel = ctx.chan
ctx = stream._ctx
chan = ctx.chan
if ctx:
log.warning(
'Dropped `brokerd`-quotes-feed connection:\n'
f'{broker_symbol}:'
f'{ctx.cid}@{chan.uid}'
)
if sub.throttle_rate:
assert ipc._closed
if tick_throttle:
assert stream._closed
# XXX: do we need to deregister here
# if it's done in the fee bus code?
@ -751,7 +742,7 @@ async def sample_and_broadcast(
# since there seems to be some kinda race..
bus.remove_subs(
sub_key,
{sub},
{(stream, tick_throttle)},
)
@ -759,7 +750,7 @@ async def uniform_rate_send(
rate: float,
quote_stream: trio.abc.ReceiveChannel,
stream: MsgStream,
stream: tractor.MsgStream,
task_status: TaskStatus = trio.TASK_STATUS_IGNORED,

View File

@ -31,8 +31,6 @@ from pathlib import Path
from pprint import pformat
from typing import (
Any,
Sequence,
Hashable,
TYPE_CHECKING,
)
from types import ModuleType
@ -130,8 +128,8 @@ class SymbologyCache(Struct):
- `.get_mkt_pairs()`: returning a table of pair-`Struct`
types, custom defined by the particular backend.
AND, the required `.get_mkt_info()` module-level endpoint
which maps `fqme: str` -> `MktPair`s.
AND, the required `.get_mkt_info()` module-level endpoint which
maps `fqme: str` -> `MktPair`s.
These tables are then used to fill out the `.assets`, `.pairs` and
`.mktmaps` tables on this cache instance, respectively.
@ -502,7 +500,7 @@ def match_from_pairs(
)
# pop and repack pairs in output dict
matched_pairs: dict[str, Struct] = {}
matched_pairs: dict[str, Pair] = {}
for item in matches:
pair_key: str = item[0]
matched_pairs[pair_key] = pairs[pair_key]

View File

@ -0,0 +1,336 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of 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/>.
'''
Financial time series processing utilities usually
pertaining to OHLCV style sampled data.
Routines are generally implemented in either ``numpy`` or
``polars`` B)
'''
from __future__ import annotations
from typing import Literal
from math import (
ceil,
floor,
)
import numpy as np
import polars as pl
from ._sharedmem import ShmArray
from ..toolz.profile import (
Profiler,
pg_profile_enabled,
ms_slower_then,
)
def slice_from_time(
arr: np.ndarray,
start_t: float,
stop_t: float,
step: float, # sampler period step-diff
) -> 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]
# 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
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='right',
)
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
def detect_null_time_gap(
shm: ShmArray,
imargin: int = 1,
) -> tuple[float, float] | None:
'''
Detect if there are any zero-epoch stamped rows in
the presumed 'time' field-column.
Filter to the gap and return a surrounding index range.
NOTE: for now presumes only ONE gap XD
'''
# ensure we read buffer state only once so that ShmArray rt
# circular-buffer updates don't cause a indexing/size mismatch.
array: np.ndarray = shm.array
zero_pred: np.ndarray = array['time'] == 0
zero_t: np.ndarray = array[zero_pred]
if zero_t.size:
istart, iend = zero_t['index'][[0, -1]]
start, end = shm._array['time'][
[istart - imargin, iend + imargin]
]
return (
istart - imargin,
start,
end,
iend + imargin,
)
return None
t_unit: Literal = Literal[
'days',
'hours',
'minutes',
'seconds',
'miliseconds',
'microseconds',
'nanoseconds',
]
def with_dts(
df: pl.DataFrame,
time_col: str = 'time',
) -> pl.DataFrame:
'''
Insert datetime (casted) columns to a (presumably) OHLC sampled
time series with an epoch-time column keyed by ``time_col``.
'''
return df.with_columns([
pl.col(time_col).shift(1).suffix('_prev'),
pl.col(time_col).diff().alias('s_diff'),
pl.from_epoch(pl.col(time_col)).alias('dt'),
]).with_columns([
pl.from_epoch(pl.col(f'{time_col}_prev')).alias('dt_prev'),
pl.col('dt').diff().alias('dt_diff'),
]) #.with_columns(
# pl.col('dt').diff().dt.days().alias('days_dt_diff'),
# )
def detect_time_gaps(
df: pl.DataFrame,
time_col: str = 'time',
# epoch sampling step diff
expect_period: float = 60,
# datetime diff unit and gap value
# crypto mkts
# gap_dt_unit: t_unit = 'minutes',
# gap_thresh: int = 1,
# NOTE: legacy stock mkts have venue operating hours
# and thus gaps normally no more then 1-2 days at
# a time.
# XXX -> must be valid ``polars.Expr.dt.<name>``
# TODO: allow passing in a frame of operating hours
# durations/ranges for faster legit gap checks.
gap_dt_unit: t_unit = 'days',
gap_thresh: int = 1,
) -> pl.DataFrame:
'''
Filter to OHLC datums which contain sample step gaps.
For eg. legacy markets which have venue close gaps and/or
actual missing data segments.
'''
return (
with_dts(df)
.filter(
pl.col('s_diff').abs() > expect_period
)
.filter(
getattr(
pl.col('dt_diff').dt,
gap_dt_unit,
)().abs() > gap_thresh
)
)
def detect_price_gaps(
df: pl.DataFrame,
gt_multiplier: float = 2.,
price_fields: list[str] = ['high', 'low'],
) -> pl.DataFrame:
'''
Detect gaps in clearing price over an OHLC series.
2 types of gaps generally exist; up gaps and down gaps:
- UP gap: when any next sample's lo price is strictly greater
then the current sample's hi price.
- DOWN gap: when any next sample's hi price is strictly
less then the current samples lo price.
'''
# return df.filter(
# pl.col('high') - ) > expect_period,
# ).select([
# pl.dt.datetime(pl.col(time_col).shift(1)).suffix('_previous'),
# pl.all(),
# ]).select([
# pl.all(),
# (pl.col(time_col) - pl.col(f'{time_col}_previous')).alias('diff'),
# ])
...

View File

@ -273,7 +273,7 @@ async def _reconnect_forever(
nobsws._connected.set()
await trio.sleep_forever()
except HandshakeError:
log.exception('Retrying connection')
log.exception(f'Retrying connection')
# ws & nursery block ends
@ -359,8 +359,8 @@ async def open_autorecon_ws(
'''
JSONRPC response-request style machinery for transparent multiplexing
of msgs over a `NoBsWs`.
JSONRPC response-request style machinery for transparent multiplexing of msgs
over a NoBsWs.
'''
@ -377,82 +377,43 @@ async def open_jsonrpc_session(
url: str,
start_id: int = 0,
response_type: type = JSONRPCResult,
msg_recv_timeout: float = float('inf'),
# ^NOTE, since only `deribit` is using this jsonrpc stuff atm
# and options mkts are generally "slow moving"..
#
# FURTHER if we break the underlying ws connection then since we
# don't pass a `fixture` to the task that manages `NoBsWs`, i.e.
# `_reconnect_forever()`, the jsonrpc "transport pipe" get's
# broken and never restored with wtv init sequence is required to
# re-establish a working req-resp session.
request_type: Optional[type] = None,
request_hook: Optional[Callable] = None,
error_hook: Optional[Callable] = None,
) -> Callable[[str, dict], dict]:
'''
Init a json-RPC-over-websocket connection to the provided `url`.
A `json_rpc: Callable[[str, dict], dict` is delivered to the
caller for sending requests and a bg-`trio.Task` handles
processing of response msgs including error reporting/raising in
the parent/caller task.
'''
# NOTE, store all request msgs so we can raise errors on the
# caller side!
req_msgs: dict[int, dict] = {}
async with (
trio.open_nursery() as tn,
open_autorecon_ws(
url=url,
msg_recv_timeout=msg_recv_timeout,
) as ws
trio.open_nursery() as n,
open_autorecon_ws(url) as ws
):
rpc_id: Iterable[int] = count(start_id)
rpc_id: Iterable = count(start_id)
rpc_results: dict[int, dict] = {}
async def json_rpc(
method: str,
params: dict,
) -> 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
'''
nonlocal req_msgs
req_id: int = next(rpc_id)
msg = {
'jsonrpc': '2.0',
'id': req_id,
'id': next(rpc_id),
'method': method,
'params': params
}
_id = msg['id']
result = rpc_results[_id] = {
rpc_results[_id] = {
'result': None,
'error': None,
'event': trio.Event(), # signal caller resp arrived
'event': trio.Event()
}
req_msgs[_id] = msg
await ws.send_msg(msg)
# wait for reponse before unblocking requester code
await rpc_results[_id]['event'].wait()
if (maybe_result := result['result']):
ret = maybe_result
del rpc_results[_id]
ret = rpc_results[_id]['result']
else:
err = result['error']
raise Exception(
f'JSONRPC request failed\n'
f'req: {msg}\n'
f'resp: {err}\n'
)
del rpc_results[_id]
if ret.error is not None:
raise Exception(json.dumps(ret.error, indent=4))
@ -467,7 +428,6 @@ async def open_jsonrpc_session(
the server side.
'''
nonlocal req_msgs
async for msg in ws:
match msg:
case {
@ -491,28 +451,19 @@ async def open_jsonrpc_session(
'params': _,
}:
log.debug(f'Recieved\n{msg}')
if request_hook:
await request_hook(request_type(**msg))
case {
'error': error
}:
# retreive orig request msg, set error
# response in original "result" msg,
# THEN FINALLY set the event to signal caller
# to raise the error in the parent task.
req_id: int = error['id']
req_msg: dict = req_msgs[req_id]
result: dict = rpc_results[req_id]
result['error'] = error
result['event'].set()
log.error(
f'JSONRPC request failed\n'
f'req: {req_msg}\n'
f'resp: {error}\n'
)
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}')
tn.start_soon(recv_task)
n.start_soon(recv_task)
yield json_rpc
tn.cancel_scope.cancel()
n.cancel_scope.cancel()

View File

@ -28,7 +28,6 @@ module.
from __future__ import annotations
from collections import (
defaultdict,
abc,
)
from contextlib import asynccontextmanager as acm
from functools import partial
@ -37,6 +36,7 @@ from types import ModuleType
from typing import (
Any,
AsyncContextManager,
Optional,
Awaitable,
Sequence,
)
@ -45,7 +45,10 @@ import trio
from trio.abc import ReceiveChannel
from trio_typing import TaskStatus
import tractor
from tractor import trionics
from tractor.trionics import (
maybe_open_context,
gather_contexts,
)
from piker.accounting import (
MktPair,
@ -56,6 +59,7 @@ from piker.brokers import get_brokermod
from piker.service import (
maybe_spawn_brokerd,
)
from piker.ui import _search
from piker.calc import humanize
from ._util import (
log,
@ -66,7 +70,7 @@ from .validate import (
FeedInit,
validate_backend,
)
from ..tsp import (
from .history import (
manage_history,
)
from .ingest import get_ingestormod
@ -76,31 +80,6 @@ from ._sampling import (
)
class Sub(Struct, frozen=True):
'''
A live feed subscription entry.
Contains meta-data on the remote-actor type (in functionality
terms) as well as refs to IPC streams and sampler runtime
params.
'''
ipc: tractor.MsgStream
send_chan: trio.abc.SendChannel | None = None
# tick throttle rate in Hz; determines how live
# quotes/ticks should be downsampled before relay
# to the receiving remote consumer (process).
throttle_rate: float | None = None
_throttle_cs: trio.CancelScope | None = None
# TODO: actually stash comms info for the far end to allow
# `.tsp`, `.fsp` and `.data._sampling` sub-systems to re-render
# the data view as needed via msging with the `._remote_ctl`
# ipc ctx.
rc_ui: bool = False
class _FeedsBus(Struct):
'''
Data feeds broadcaster and persistence management.
@ -125,7 +104,13 @@ class _FeedsBus(Struct):
_subscribers: defaultdict[
str,
set[Sub]
set[
tuple[
tractor.MsgStream | trio.MemorySendChannel,
# tractor.Context,
float | None, # tick throttle in Hz
]
]
] = defaultdict(set)
async def start_task(
@ -140,8 +125,6 @@ class _FeedsBus(Struct):
trio.CancelScope] = trio.TASK_STATUS_IGNORED,
) -> None:
with trio.CancelScope() as cs:
# TODO: shouldn't this be a direct await to avoid
# cancellation contagion to the bus nursery!?!?!
await self.nursery.start(
target,
*args,
@ -159,28 +142,31 @@ class _FeedsBus(Struct):
def get_subs(
self,
key: str,
) -> set[Sub]:
) -> set[
tuple[
tractor.MsgStream | trio.MemorySendChannel,
float | None, # tick throttle in Hz
]
]:
'''
Get the ``set`` of consumer subscription entries for the given key.
'''
return self._subscribers[key]
def subs_items(self) -> abc.ItemsView[str, set[Sub]]:
return self._subscribers.items()
def add_subs(
self,
key: str,
subs: set[Sub],
) -> set[Sub]:
subs: set[tuple[
tractor.MsgStream | trio.MemorySendChannel,
float | None, # tick throttle in Hz
]],
) -> set[tuple]:
'''
Add a ``set`` of consumer subscription entries for the given key.
'''
_subs: set[Sub] = self._subscribers.setdefault(key, set())
_subs: set[tuple] = self._subscribers[key]
_subs.update(subs)
return _subs
@ -345,6 +331,7 @@ async def allocate_persistent_feed(
) = await bus.nursery.start(
manage_history,
mod,
bus,
mkt,
some_data_ready,
feed_is_live,
@ -421,12 +408,6 @@ async def allocate_persistent_feed(
rt_shm.array['time'][1] = ts + 1
elif hist_shm.array.size == 0:
for i in range(100):
await trio.sleep(0.1)
if hist_shm.array.size > 0:
break
else:
await tractor.pause()
raise RuntimeError(f'History (1m) Shm for {fqme} is empty!?')
# wait the spawning parent task to register its subscriber
@ -457,9 +438,8 @@ async def open_feed_bus(
symbols: list[str], # normally expected to the broker-specific fqme
loglevel: str = 'error',
tick_throttle: float | None = None,
tick_throttle: Optional[float] = None,
start_stream: bool = True,
allow_remote_ctl_ui: bool = False,
) -> dict[
str, # fqme
@ -474,12 +454,8 @@ async def open_feed_bus(
if loglevel is None:
loglevel = tractor.current_actor().loglevel
# XXX: required to propagate ``tractor`` loglevel to piker
# logging
get_console_log(
loglevel
or tractor.current_actor().loglevel
)
# XXX: required to propagate ``tractor`` loglevel to piker logging
get_console_log(loglevel or tractor.current_actor().loglevel)
# local state sanity checks
# TODO: check for any stale shm entries for this symbol
@ -489,7 +465,7 @@ async def open_feed_bus(
assert 'brokerd' in servicename
assert brokername in servicename
bus: _FeedsBus = get_feed_bus(brokername)
bus = get_feed_bus(brokername)
sub_registered = trio.Event()
flumes: dict[str, Flume] = {}
@ -536,10 +512,10 @@ async def open_feed_bus(
# pack for ``.started()`` sync msg
flumes[fqme] = flume
# we use the broker-specific fqme (bs_fqme) for the sampler
# subscription since the backend isn't (yet) expected to
# append it's own name to the fqme, so we filter on keys
# which *do not* include that name (e.g .ib) .
# we use the broker-specific fqme (bs_fqme) for the
# sampler subscription since the backend isn't (yet) expected to
# append it's own name to the fqme, so we filter on keys which
# *do not* include that name (e.g .ib) .
bus._subscribers.setdefault(bs_fqme, set())
# sync feed subscribers with flume handles
@ -578,60 +554,49 @@ async def open_feed_bus(
# that the ``sample_and_broadcast()`` task (spawned inside
# ``allocate_persistent_feed()``) will push real-time quote
# (ticks) to this new consumer.
cs: trio.CancelScope | None = None
send: trio.MemorySendChannel | None = None
if tick_throttle:
flume.throttle_rate = tick_throttle
# open a bg task which receives quotes over a mem
# chan and only pushes them to the target
# actor-consumer at a max ``tick_throttle``
# (instantaneous) rate.
# open a bg task which receives quotes over a mem chan
# and only pushes them to the target actor-consumer at
# a max ``tick_throttle`` instantaneous rate.
send, recv = trio.open_memory_channel(2**10)
# NOTE: the ``.send`` channel here is a swapped-in
# trio mem chan which gets `.send()`-ed by the normal
# sampler task but instead of being sent directly
# over the IPC msg stream it's the throttle task
# does the work of incrementally forwarding to the
# IPC stream at the throttle rate.
cs: trio.CancelScope = await bus.start_task(
cs = await bus.start_task(
uniform_rate_send,
tick_throttle,
recv,
stream,
)
# NOTE: so the ``send`` channel here is actually a swapped
# in trio mem chan which gets pushed by the normal sampler
# task but instead of being sent directly over the IPC msg
# stream it's the throttle task does the work of
# incrementally forwarding to the IPC stream at the throttle
# rate.
send._ctx = ctx # mock internal ``tractor.MsgStream`` ref
sub = (send, tick_throttle)
sub = Sub(
ipc=stream,
send_chan=send,
throttle_rate=tick_throttle,
_throttle_cs=cs,
rc_ui=allow_remote_ctl_ui,
)
else:
sub = (stream, tick_throttle)
# TODO: add an api for this on the bus?
# maybe use the current task-id to key the sub list that's
# added / removed? Or maybe we can add a general
# pause-resume by sub-key api?
bs_fqme = fqme.removesuffix(f'.{brokername}')
local_subs.setdefault(
bs_fqme,
set()
).add(sub)
bus.add_subs(
bs_fqme,
{sub}
)
local_subs.setdefault(bs_fqme, set()).add(sub)
bus.add_subs(bs_fqme, {sub})
# sync caller with all subs registered state
sub_registered.set()
uid: tuple[str, str] = ctx.chan.uid
uid = ctx.chan.uid
try:
# ctrl protocol for start/stop of live quote streams
# based on UI state (eg. don't need a stream when
# a symbol isn't being displayed).
# ctrl protocol for start/stop of quote streams based on UI
# state (eg. don't need a stream when a symbol isn't being
# displayed).
async for msg in stream:
if msg == 'pause':
@ -769,7 +734,6 @@ async def install_brokerd_search(
except trio.EndOfChannel:
return {}
from piker.ui import _search
async with _search.register_symbol_search(
provider_name=brokermod.name,
@ -788,7 +752,7 @@ async def install_brokerd_search(
async def maybe_open_feed(
fqmes: list[str],
loglevel: str | None = None,
loglevel: Optional[str] = None,
**kwargs,
@ -804,7 +768,7 @@ async def maybe_open_feed(
'''
fqme = fqmes[0]
async with trionics.maybe_open_context(
async with maybe_open_context(
acm_func=open_feed,
kwargs={
'fqmes': fqmes,
@ -824,7 +788,7 @@ async def maybe_open_feed(
# add a new broadcast subscription for the quote stream
# if this feed is likely already in use
async with trionics.gather_contexts(
async with gather_contexts(
mngrs=[stream.subscribe() for stream in feed.streams.values()]
) as bstreams:
for bstream, flume in zip(bstreams, feed.flumes.values()):
@ -848,8 +812,6 @@ async def open_feed(
start_stream: bool = True,
tick_throttle: float | None = None, # Hz
allow_remote_ctl_ui: bool = False,
) -> Feed:
'''
Open a "data feed" which provides streamed real-time quotes.
@ -886,7 +848,7 @@ async def open_feed(
)
portals: tuple[tractor.Portal]
async with trionics.gather_contexts(
async with gather_contexts(
brokerd_ctxs,
) as portals:
@ -932,19 +894,13 @@ async def open_feed(
# of these stream open sequences sequentially per
# backend? .. need some thot!
allow_overruns=True,
# NOTE: UI actors (like charts) can allow
# remote control of certain graphics rendering
# capabilities via the
# `.ui._remote_ctl.remote_annotate()` msg loop.
allow_remote_ctl_ui=allow_remote_ctl_ui,
)
)
assert len(feed.mods) == len(feed.portals)
async with (
trionics.gather_contexts(bus_ctxs) as ctxs,
gather_contexts(bus_ctxs) as ctxs,
):
stream_ctxs: list[tractor.MsgStream] = []
for (
@ -986,7 +942,7 @@ async def open_feed(
brokermod: ModuleType
fqmes: list[str]
async with (
trionics.gather_contexts(stream_ctxs) as streams,
gather_contexts(stream_ctxs) as streams,
):
for (
stream,
@ -1002,12 +958,6 @@ async def open_feed(
if brokermod.name == flume.mkt.broker:
flume.stream = stream
assert (
len(feed.mods)
==
len(feed.portals)
==
len(feed.streams)
)
assert len(feed.mods) == len(feed.portals) == len(feed.streams)
yield feed

View File

@ -42,15 +42,35 @@ if TYPE_CHECKING:
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.
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.
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
@ -73,7 +93,6 @@ class Flume(Struct):
# private shm refs loaded dynamically from tokens
_hist_shm: ShmArray | None = None
_rt_shm: ShmArray | None = None
_readonly: bool = True
stream: tractor.MsgStream | None = None
izero_hist: int = 0
@ -90,7 +109,7 @@ class Flume(Struct):
if self._rt_shm is None:
self._rt_shm = attach_shm_array(
token=self._rt_shm_token,
readonly=self._readonly,
readonly=True,
)
return self._rt_shm
@ -103,10 +122,12 @@ class Flume(Struct):
'No shm token has been set for the history buffer?'
)
if self._hist_shm is None:
if (
self._hist_shm is None
):
self._hist_shm = attach_shm_array(
token=self._hist_shm_token,
readonly=self._readonly,
readonly=True,
)
return self._hist_shm
@ -125,10 +146,10 @@ class Flume(Struct):
period and ratio between them.
'''
times: np.ndarray = self.hist_shm.array['time']
end: float | int = pendulum.from_timestamp(times[-1])
start: float | int = pendulum.from_timestamp(times[times != times[-1]][-1])
hist_step_size_s: float = (end - start).seconds
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])
@ -148,25 +169,17 @@ class Flume(Struct):
msg = self.to_dict()
msg['mkt'] = self.mkt.to_dict()
# NOTE: pop all un-msg-serializable fields:
# - `tractor.MsgStream`
# - `Feed`
# - `Shmarray`
# it's expected the `.from_msg()` on the other side
# will get instead some kind of msg-compat version
# that it can load.
# 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')
msg.pop('_rt_shm')
msg.pop('_hist_shm')
return msg
@classmethod
def from_msg(
cls,
msg: dict,
readonly: bool = True,
) -> dict:
'''
@ -177,11 +190,7 @@ class Flume(Struct):
mkt_msg = msg.pop('mkt')
from ..accounting import MktPair # cycle otherwise..
mkt = MktPair.from_msg(mkt_msg)
msg |= {'_readonly': readonly}
return cls(
mkt=mkt,
**msg,
)
return cls(mkt=mkt, **msg)
def get_index(
self,

1003
piker/data/history.py 100644

File diff suppressed because it is too large Load Diff

View File

@ -26,10 +26,7 @@ from ._api import (
maybe_mk_fsp_shm,
Fsp,
)
from ._engine import (
cascade,
Cascade,
)
from ._engine import cascade
from ._volume import (
dolla_vlm,
flow_rates,
@ -38,7 +35,6 @@ from ._volume import (
__all__: list[str] = [
'cascade',
'Cascade',
'maybe_mk_fsp_shm',
'Fsp',
'dolla_vlm',
@ -50,12 +46,9 @@ __all__: list[str] = [
async def latency(
source: 'TickStream[Dict[str, float]]', # noqa
ohlcv: np.ndarray
) -> AsyncIterator[np.ndarray]:
'''
Latency measurements, broker to piker.
'''
"""Latency measurements, broker to piker.
"""
# TODO: do we want to offer yielding this async
# before the rt data connection comes up?

View File

@ -18,12 +18,13 @@
core task logic for processing chains
'''
from __future__ import annotations
from contextlib import asynccontextmanager as acm
from dataclasses import dataclass
from functools import partial
from typing import (
AsyncIterator,
Callable,
Optional,
Union,
)
import numpy as np
@ -32,9 +33,9 @@ from trio_typing import TaskStatus
import tractor
from tractor.msg import NamespacePath
from piker.types import Struct
from ..log import get_logger, get_console_log
from .. import data
from ..data import attach_shm_array
from ..data.feed import (
Flume,
Feed,
@ -55,6 +56,12 @@ from ..toolz import Profiler
log = get_logger(__name__)
@dataclass
class TaskTracker:
complete: trio.Event
cs: trio.CancelScope
async def filter_quotes_by_sym(
sym: str,
@ -75,168 +82,30 @@ async def filter_quotes_by_sym(
if quote:
yield quote
# TODO: unifying the abstractions in this FSP subsys/layer:
# -[ ] move the `.data.flows.Flume` type into this
# module/subsys/pkg?
# -[ ] ideas for further abstractions as per
# - https://github.com/pikers/piker/issues/216,
# - https://github.com/pikers/piker/issues/270:
# - 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
# - https://en.wikipedia.org/wiki/Signal-flow_graph
# - https://en.wikipedia.org/wiki/Signal-flow_graph#Basic_components
# -[ ] we probably want to eval THE BELOW design and unify with the
# proto `TaskManager` in the `tractor` dev branch as well as with
# our below idea for `Cascade`:
# - https://github.com/goodboy/tractor/pull/363
class Cascade(Struct):
'''
As per sig-proc engineering parlance, this is a chaining of
`Flume`s, which are themselves collections of "Streams"
implemented currently via `ShmArray`s.
async def fsp_compute(
A `Cascade` is be the minimal "connection" of 2 `Flumes`
as per circuit parlance:
https://en.wikipedia.org/wiki/Two-port_network#Cascade_connection
TODO:
-[ ] could cover the combination of our `FspAdmin` and the
backend `.fsp._engine` related machinery to "connect" one flume
to another?
'''
# TODO: make these `Flume`s
src: Flume
dst: Flume
tn: trio.Nursery
fsp: Fsp # UI-side middleware ctl API
# filled during cascade/.bind_func() (fsp_compute) init phases
bind_func: Callable | None = None
complete: trio.Event | None = None
cs: trio.CancelScope | None = None
client_stream: tractor.MsgStream | None = None
async def resync(self) -> int:
# TODO: adopt an incremental update engine/approach
# where possible here eventually!
log.info(f're-syncing fsp {self.fsp.name} to source')
self.cs.cancel()
await self.complete.wait()
index: int = await self.tn.start(self.bind_func)
# always trigger UI refresh after history update,
# see ``piker.ui._fsp.FspAdmin.open_chain()`` and
# ``piker.ui._display.trigger_update()``.
dst_shm: ShmArray = self.dst.rt_shm
await self.client_stream.send({
'fsp_update': {
'key': dst_shm.token,
'first': dst_shm._first.value,
'last': dst_shm._last.value,
}
})
return index
def is_synced(self) -> tuple[bool, int, int]:
'''
Predicate to dertmine if a destination FSP
output array is aligned to its source array.
'''
src_shm: ShmArray = self.src.rt_shm
dst_shm: ShmArray = self.dst.rt_shm
step_diff = src_shm.index - dst_shm.index
len_diff = abs(len(src_shm.array) - len(dst_shm.array))
synced: bool = not (
# the source is likely backfilling and we must
# sync history calculations
len_diff > 2
# we aren't step synced to the source and may be
# leading/lagging by a step
or step_diff > 1
or step_diff < 0
)
if not synced:
fsp: Fsp = self.fsp
log.warning(
'***DESYNCED FSP***\n'
f'{fsp.ns_path}@{src_shm.token}\n'
f'step_diff: {step_diff}\n'
f'len_diff: {len_diff}\n'
)
return (
synced,
step_diff,
len_diff,
)
async def poll_and_sync_to_step(self) -> int:
synced, step_diff, _ = self.is_synced()
while not synced:
await self.resync()
synced, step_diff, _ = self.is_synced()
return step_diff
@acm
async def open_edge(
self,
bind_func: Callable,
) -> int:
self.bind_func = bind_func
index = await self.tn.start(bind_func)
yield index
# TODO: what do we want on teardown/error?
# -[ ] dynamic reconnection after update?
async def connect_streams(
casc: Cascade,
mkt: MktPair,
flume: Flume,
quote_stream: trio.abc.ReceiveChannel,
src: Flume,
dst: Flume,
edge_func: Callable,
src: ShmArray,
dst: ShmArray,
func: Callable,
# attach_stream: bool = False,
task_status: TaskStatus[None] = trio.TASK_STATUS_IGNORED,
) -> None:
'''
Stream and per-sample compute and write the cascade of
2 `Flumes`/streams given some operating `func`.
https://en.wikipedia.org/wiki/Signal-flow_graph#Basic_components
Not literally, but something like:
edge_func(Flume_in) -> Flume_out
'''
profiler = Profiler(
delayed=False,
disabled=True
)
# TODO: just pull it from src.mkt.fqme no?
# fqme: str = mkt.fqme
fqme: str = src.mkt.fqme
# TODO: dynamic introspection of what the underlying (vertex)
# function actually requires from input node (flumes) then
# deliver those inputs as part of a graph "compilation" step?
out_stream = edge_func(
fqme = mkt.fqme
out_stream = func(
# TODO: do we even need this if we do the feed api right?
# shouldn't a local stream do this before we get a handle
@ -244,21 +113,20 @@ async def connect_streams(
# async itertools style?
filter_quotes_by_sym(fqme, quote_stream),
# XXX: currently the ``ohlcv`` arg, but we should allow
# (dynamic) requests for src flume (node) streams?
src.rt_shm,
# XXX: currently the ``ohlcv`` arg
flume.rt_shm,
)
# HISTORY COMPUTE PHASE
# conduct a single iteration of fsp with historical bars input
# and get historical output.
history_output: (
dict[str, np.ndarray] # multi-output case
| np.ndarray, # single output case
)
history_output: Union[
dict[str, np.ndarray], # multi-output case
np.ndarray, # single output case
]
history_output = await anext(out_stream)
func_name = edge_func.__name__
func_name = func.__name__
profiler(f'{func_name} generated history')
# build struct array with an 'index' field to push as history
@ -266,12 +134,10 @@ async def connect_streams(
# TODO: push using a[['f0', 'f1', .., 'fn']] = .. syntax no?
# if the output array is multi-field then push
# each respective field.
dst_shm: ShmArray = dst.rt_shm
fields = getattr(dst_shm.array.dtype, 'fields', None).copy()
fields = getattr(dst.array.dtype, 'fields', None).copy()
fields.pop('index')
history_by_field: np.ndarray | None = None
src_shm: ShmArray = src.rt_shm
src_time = src_shm.array['time']
history_by_field: Optional[np.ndarray] = None
src_time = src.array['time']
if (
fields and
@ -290,7 +156,7 @@ async def connect_streams(
if history_by_field is None:
if output is None:
length = len(src_shm.array)
length = len(src.array)
else:
length = len(output)
@ -299,7 +165,7 @@ async def connect_streams(
# will be pushed to shm.
history_by_field = np.zeros(
length,
dtype=dst_shm.array.dtype
dtype=dst.array.dtype
)
if output is None:
@ -316,13 +182,13 @@ async def connect_streams(
)
history_by_field = np.zeros(
len(history_output),
dtype=dst_shm.array.dtype
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_shm.array['time']
history_output['time'] = src.array['time']
# TODO: XXX:
# THERE'S A BIG BUG HERE WITH THE `index` field since we're
@ -335,11 +201,11 @@ async def connect_streams(
# is `index` aware such that historical data can be indexed
# relative to the true first datum? Not sure if this is sane
# for incremental compuations.
first = dst_shm._first.value = src_shm._first.value
first = dst._first.value = src._first.value
# TODO: can we use this `start` flag instead of the manual
# setting above?
index = dst_shm.push(
index = dst.push(
history_by_field,
start=first,
)
@ -350,9 +216,12 @@ async def connect_streams(
# setup a respawn handle
with trio.CancelScope() as cs:
casc.cs = cs
casc.complete = trio.Event()
task_status.started(index)
# TODO: might be better to just make a "restart" method where
# the target task is spawned implicitly and then the event is
# set via some higher level api? At that poing we might as well
# be writing a one-cancels-one nursery though right?
tracker = TaskTracker(trio.Event(), cs)
task_status.started((tracker, index))
profiler(f'{func_name} yield last index')
@ -366,12 +235,12 @@ async def connect_streams(
log.debug(f"{func_name}: {processed}")
key, output = processed
# dst.array[-1][key] = output
dst_shm.array[[key, 'time']][-1] = (
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_shm.array[-1]['time']
src.array[-1]['time']
)
# NOTE: for now we aren't streaming this to the consumer
@ -383,7 +252,7 @@ async def connect_streams(
# 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_shm.index
# index = src.index
# if attach_stream:
# await client_stream.send(index)
@ -393,7 +262,7 @@ async def connect_streams(
# log.info(f'FSP quote too fast: {hz}')
# last = time.time()
finally:
casc.complete.set()
tracker.complete.set()
@tractor.context
@ -404,15 +273,15 @@ async def cascade(
# data feed key
fqme: str,
# flume pair cascaded using an "edge function"
src_flume_addr: dict,
dst_flume_addr: dict,
src_shm_token: dict,
dst_shm_token: tuple[str, np.dtype],
ns_path: NamespacePath,
shm_registry: dict[str, _Token],
zero_on_step: bool = False,
loglevel: str | None = None,
loglevel: Optional[str] = None,
) -> None:
'''
@ -428,14 +297,8 @@ async def cascade(
if loglevel:
get_console_log(loglevel)
src: Flume = Flume.from_msg(src_flume_addr)
dst: Flume = Flume.from_msg(
dst_flume_addr,
readonly=False,
)
# src: ShmArray = attach_shm_array(token=src_shm_token)
# dst: ShmArray = attach_shm_array(readonly=False, token=dst_shm_token)
src = attach_shm_array(token=src_shm_token)
dst = attach_shm_array(readonly=False, token=dst_shm_token)
reg = _load_builtins()
lines = '\n'.join([f'{key.rpartition(":")[2]} => {key}' for key in reg])
@ -443,11 +306,11 @@ async def cascade(
f'Registered FSP set:\n{lines}'
)
# NOTE XXX: update actorlocal flows table which registers
# readonly "instances" of this fsp for symbol/source so that
# consumer fsps can look it up by source + fsp.
# TODO: ugh i hate this wind/unwind to list over the wire but
# not sure how else to do it.
# update actorlocal flows table which registers
# readonly "instances" of this fsp for symbol/source
# so that consumer fsps can look it up by source + fsp.
# 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),
@ -457,15 +320,12 @@ async def cascade(
fsp: Fsp = reg.get(
NamespacePath(ns_path)
)
func: Callable = fsp.func
func = fsp.func
if not func:
# TODO: assume it's a func target path
raise ValueError(f'Unknown fsp target: {ns_path}')
_fqme: str = src.mkt.fqme
assert _fqme == fqme
# open a data feed stream with requested broker
feed: Feed
async with data.feed.maybe_open_feed(
@ -479,68 +339,40 @@ async def cascade(
) as feed:
flume: Flume = feed.flumes[fqme]
# XXX: can't do this since flume.feed will be set XD
# assert flume == src
assert flume.mkt == src.mkt
mkt: MktPair = flume.mkt
# NOTE: FOR NOW, sanity checks around the feed as being
# always the src flume (until we get to fancier/lengthier
# chains/graphs.
assert src.rt_shm.token == flume.rt_shm.token
# XXX: won't work bc the _hist_shm_token value will be
# list[list] after IPC..
# assert flume.to_msg() == src_flume_addr
flume = feed.flumes[fqme]
mkt = flume.mkt
assert src.token == flume.rt_shm.token
profiler(f'{func}: feed up')
func_name: str = func.__name__
func_name = func.__name__
async with (
trio.open_nursery() as tn,
trio.open_nursery() as n,
):
# TODO: might be better to just make a "restart" method where
# the target task is spawned implicitly and then the event is
# set via some higher level api? At that poing we might as well
# be writing a one-cancels-one nursery though right?
casc = Cascade(
src,
dst,
tn,
fsp,
)
# TODO: this seems like it should be wrapped somewhere?
fsp_target = partial(
connect_streams,
casc=casc,
fsp_compute,
mkt=mkt,
flume=flume,
quote_stream=flume.stream,
# flumes and shm passthrough
# shm
src=src,
dst=dst,
# chain function which takes src flume input(s)
# and renders dst flume output(s)
edge_func=func
# target
func=func
)
async with casc.open_edge(
bind_func=fsp_target,
) as index:
# casc.bind_func = fsp_target
# index = await tn.start(fsp_target)
dst_shm: ShmArray = dst.rt_shm
src_shm: ShmArray = src.rt_shm
tracker, index = await n.start(fsp_target)
if zero_on_step:
last = dst.rt_shm.array[-1:]
last = dst.array[-1:]
zeroed = np.zeros(last.shape, dtype=last.dtype)
profiler(f'{func_name}: fsp up')
# sync to client-side actor
# sync client
await ctx.started(index)
# XXX: rt stream with client which we MUST
@ -548,26 +380,85 @@ async def cascade(
# incremental "updates" as history prepends take
# place.
async with ctx.open_stream() as client_stream:
casc.client_stream: tractor.MsgStream = client_stream
s, step, ld = casc.is_synced()
# TODO: these likely should all become
# methods of this ``TaskLifetime`` or wtv
# abstraction..
async def resync(
tracker: TaskTracker,
) -> tuple[TaskTracker, int]:
# TODO: adopt an incremental update engine/approach
# where possible here eventually!
log.info(f're-syncing fsp {func_name} to source')
tracker.cs.cancel()
await tracker.complete.wait()
tracker, index = await n.start(fsp_target)
# always trigger UI refresh after history update,
# see ``piker.ui._fsp.FspAdmin.open_chain()`` and
# ``piker.ui._display.trigger_update()``.
await client_stream.send({
'fsp_update': {
'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
output array is aligned to its source array.
'''
step_diff = src.index - dst.index
len_diff = abs(len(src.array) - len(dst.array))
return not (
# the source is likely backfilling and we must
# sync history calculations
len_diff > 2
# 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, len_diff
async def poll_and_sync_to_step(
tracker: TaskTracker,
src: ShmArray,
dst: ShmArray,
) -> tuple[TaskTracker, int]:
synced, step_diff, _ = is_synced(src, dst)
while not synced:
tracker, index = await resync(tracker)
synced, step_diff, _ = is_synced(src, dst)
return tracker, step_diff
s, step, ld = is_synced(src, dst)
# detect sample period step for subscription to increment
# signal
times = src.rt_shm.array['time']
times = src.array['time']
if len(times) > 1:
last_ts = times[-1]
delay_s: float = float(last_ts - times[times != last_ts][-1])
delay_s = float(last_ts - times[times != last_ts][-1])
else:
# our default "HFT" sample rate.
delay_s: float = _default_delay_s
delay_s = _default_delay_s
# 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:
async with open_sample_stream(float(delay_s)) as istream:
profiler(f'{func_name}: sample stream up')
profiler.finish()
@ -578,9 +469,13 @@ async def cascade(
# respawn the compute task if the source
# array has been updated such that we compute
# new history from the (prepended) source.
synced, step_diff, _ = casc.is_synced()
synced, step_diff, _ = is_synced(src, dst)
if not synced:
step_diff: int = await casc.poll_and_sync_to_step()
tracker, step_diff = await poll_and_sync_to_step(
tracker,
src,
dst,
)
# skip adding a last bar since we should already
# be step alinged
@ -588,7 +483,7 @@ async def cascade(
continue
# read out last shm row, copy and write new row
array = dst_shm.array
array = dst.array
# some metrics like vlm should be reset
# to zero every step.
@ -597,14 +492,14 @@ async def cascade(
else:
last = array[-1:].copy()
dst.rt_shm.push(last)
dst.push(last)
# sync with source buffer's time step
src_l2 = src_shm.array[-2:]
src_l2 = src.array[-2:]
src_li, src_lt = src_l2[-1][['index', 'time']]
src_2li, src_2lt = src_l2[-2][['index', 'time']]
dst_shm._array['time'][src_li] = src_lt
dst_shm._array['time'][src_2li] = src_2lt
dst._array['time'][src_li] = src_lt
dst._array['time'][src_2li] = src_2lt
# last2 = dst.array[-2:]
# if (

View File

@ -14,45 +14,49 @@
# 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 primtives and (distributed) service APIs for,
"""
Actor-runtime service orchestration machinery.
- daemon-service mgmt: `_daemon` (i.e. low-level spawn and supervise machinery
for sub-actors like `brokerd`, `emsd`, datad`, etc.)
"""
from __future__ import annotations
- service-actor supervision (via `trio` tasks) API: `._mngr`
- discovery interface (via light wrapping around `tractor`'s built-in
prot): `._registry`
- `docker` cntr SC supervision for use with `trio`: `_ahab`
- wrappers for marketstore and elasticsearch dbs
=> TODO: maybe to (re)move elsewhere?
'''
from ._mngr import Services as Services
from ._registry import (
_tractor_kwargs as _tractor_kwargs,
_default_reg_addr as _default_reg_addr,
_default_registry_host as _default_registry_host,
_default_registry_port as _default_registry_port,
open_registry as open_registry,
find_service as find_service,
check_for_service as check_for_service,
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 (
maybe_spawn_daemon as maybe_spawn_daemon,
spawn_emsd as spawn_emsd,
maybe_open_emsd as maybe_open_emsd,
from ._daemon import ( # noqa
maybe_spawn_daemon,
spawn_emsd,
maybe_open_emsd,
)
from ._actor_runtime import (
open_piker_runtime as open_piker_runtime,
maybe_open_pikerd as maybe_open_pikerd,
open_pikerd as open_pikerd,
get_runtime_vars as get_runtime_vars,
open_piker_runtime,
maybe_open_pikerd,
open_pikerd,
get_tractor_runtime_kwargs,
)
from ..brokers._daemon import (
spawn_brokerd as spawn_brokerd,
maybe_spawn_brokerd as maybe_spawn_brokerd,
spawn_brokerd,
maybe_spawn_brokerd,
)
__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

@ -45,7 +45,7 @@ from ._registry import ( # noqa
)
def get_runtime_vars() -> dict[str, Any]:
def get_tractor_runtime_kwargs() -> dict[str, Any]:
'''
Deliver ``tractor`` related runtime variables in a `dict`.
@ -56,8 +56,6 @@ def get_runtime_vars() -> dict[str, Any]:
@acm
async def open_piker_runtime(
name: str,
registry_addrs: list[tuple[str, int]] = [],
enable_modules: list[str] = [],
loglevel: Optional[str] = None,
@ -65,6 +63,8 @@ async def open_piker_runtime(
# 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',
@ -74,7 +74,7 @@ async def open_piker_runtime(
) -> tuple[
tractor.Actor,
list[tuple[str, int]],
tuple[str, int],
]:
'''
Start a piker actor who's runtime will automatically sync with
@ -84,31 +84,21 @@ async def open_piker_runtime(
a root actor.
'''
# check for existing runtime, boot it
# if not already running.
try:
actor = tractor.current_actor()
# check for existing runtime
actor = tractor.current_actor().uid
except tractor._exceptions.NoRuntime:
tractor._state._runtime_vars[
'piker_vars'
] = tractor_runtime_overrides
'piker_vars'] = tractor_runtime_overrides
# NOTE: if no registrar list passed used the default of just
# setting it as the root actor on localhost.
registry_addrs = (
registry_addrs
or [_default_reg_addr]
)
if ems := tractor_kwargs.pop('enable_modules', None):
# import pdbp; pdbp.set_trace()
enable_modules.extend(ems)
registry_addr = registry_addr or _default_reg_addr
async with (
tractor.open_root_actor(
# passed through to ``open_root_actor``
registry_addrs=registry_addrs,
arbiter_addr=registry_addr,
name=name,
loglevel=loglevel,
debug_mode=debug_mode,
@ -120,30 +110,24 @@ async def open_piker_runtime(
enable_modules=enable_modules,
**tractor_kwargs,
) as actor,
) as _,
open_registry(
registry_addrs,
ensure_exists=False,
) as addrs,
open_registry(registry_addr, ensure_exists=False) as addr,
):
assert actor is tractor.current_actor()
yield (
actor,
addrs,
tractor.current_actor(),
addr,
)
else:
async with open_registry(
registry_addrs
) as addrs:
async with open_registry(registry_addr) as addr:
yield (
actor,
addrs,
addr,
)
_root_dname: str = 'pikerd'
_root_modules: list[str] = [
_root_dname = 'pikerd'
_root_modules = [
__name__,
'piker.service._daemon',
'piker.brokers._daemon',
@ -157,13 +141,13 @@ _root_modules: list[str] = [
@acm
async def open_pikerd(
registry_addrs: list[tuple[str, int]],
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,
**kwargs,
@ -175,37 +159,27 @@ async def open_pikerd(
alive underling services (see below).
'''
# NOTE: for the root daemon we always enable the root
# mod set and we `list.extend()` it into wtv the
# caller requested.
# TODO: make this mod set more strict?
# -[ ] eventually we should be able to avoid
# having the root have more then permissions to spawn other
# specialized daemons I think?
ems: list[str] = kwargs.setdefault('enable_modules', [])
ems.extend(_root_modules)
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_addrs=registry_addrs,
registry_addr=registry_addr,
**kwargs,
) as (
root_actor,
reg_addrs,
),
) as (root_actor, reg_addr),
tractor.open_nursery() as actor_nursery,
trio.open_nursery() as service_nursery,
):
for addr in reg_addrs:
if addr not in root_actor.accept_addrs:
if root_actor.accept_addr != reg_addr:
raise RuntimeError(
f'`pikerd` failed to bind on {addr}!\n'
f'`pikerd` failed to bind on {reg_addr}!\n'
'Maybe you have another daemon already running?'
)
@ -251,9 +225,9 @@ async def open_pikerd(
@acm
async def maybe_open_pikerd(
registry_addrs: list[tuple[str, int]] | None = None,
loglevel: Optional[str] = None,
registry_addr: None | tuple = None,
loglevel: str | None = None,
**kwargs,
) -> tractor._portal.Portal | ClassVar[Services]:
@ -279,51 +253,32 @@ async def maybe_open_pikerd(
# async with open_portal(chan) as arb_portal:
# yield arb_portal
registry_addrs: list[tuple[str, int]] = (
registry_addrs
or [_default_reg_addr]
)
pikerd_portal: tractor.Portal | None
async with (
open_piker_runtime(
name=query_name,
registry_addrs=registry_addrs,
registry_addr=registry_addr,
loglevel=loglevel,
**kwargs,
) as (actor, addrs),
):
if _root_dname in actor.uid:
yield None
return
) as _,
# NOTE: IFF running in disti mode, try to attach to any
# existing (host-local) `pikerd`.
else:
async with tractor.find_actor(
tractor.find_actor(
_root_dname,
registry_addrs=registry_addrs,
only_first=True,
# raise_on_none=True,
) as pikerd_portal:
# connect to any existing remote daemon presuming its
# registry socket was selected.
if pikerd_portal is not None:
# sanity check that we are actually connecting to
# a remote process and not ourselves.
assert actor.uid != pikerd_portal.channel.uid
assert registry_addrs
yield pikerd_portal
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_addrs=registry_addrs,
registry_addr=registry_addr,
# passthrough to ``tractor`` init
**kwargs,

View File

@ -15,8 +15,8 @@
# 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 async and SC wrapping
to ensure a cancellable container lifetime system.
'''
from __future__ import annotations

View File

@ -70,10 +70,7 @@ async def maybe_spawn_daemon(
lock = Services.locks[service_name]
await lock.acquire()
async with find_service(
service_name,
registry_addrs=[('127.0.0.1', 6116)],
) as portal:
async with find_service(service_name) as portal:
if portal is not None:
lock.release()
yield portal

View File

@ -27,12 +27,6 @@ from typing import (
import trio
from trio_typing import TaskStatus
import tractor
from tractor import (
current_actor,
ContextCancelled,
Context,
Portal,
)
from ._util import (
log, # sub-sys logger
@ -44,8 +38,6 @@ from ._util import (
# library.
# - wrap a "remote api" wherein you can get a method proxy
# to the pikerd actor for starting services remotely!
# - prolly rename this to ActorServicesNursery since it spawns
# new actors and supervises them to completion?
class Services:
actor_n: tractor._supervise.ActorNursery
@ -55,7 +47,7 @@ class Services:
str,
tuple[
trio.CancelScope,
Portal,
tractor.Portal,
trio.Event,
]
] = {}
@ -65,12 +57,12 @@ class Services:
async def start_service_task(
self,
name: str,
portal: Portal,
portal: tractor.Portal,
target: Callable,
allow_overruns: bool = False,
**ctx_kwargs,
) -> (trio.CancelScope, Context):
) -> (trio.CancelScope, tractor.Context):
'''
Open a context in a service sub-actor, add to a stack
that gets unwound at ``pikerd`` teardown.
@ -109,30 +101,13 @@ class Services:
# wait on any context's return value
# and any final portal result from the
# sub-actor.
ctx_res: Any = await ctx.result()
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)
except ContextCancelled as ctxe:
canceller: tuple[str, str] = ctxe.canceller
our_uid: tuple[str, str] = current_actor().uid
if (
canceller != portal.channel.uid
and
canceller != our_uid
):
log.cancel(
f'Actor-service {name} was remotely cancelled?\n'
f'remote canceller: {canceller}\n'
f'Keeping {our_uid} alive, ignoring sub-actor cancel..\n'
)
else:
raise
finally:
await portal.cancel_actor()

View File

@ -27,7 +27,6 @@ from typing import (
)
import tractor
from tractor import Portal
from ._util import (
log, # sub-sys logger
@ -47,9 +46,7 @@ _registry: Registry | None = None
class Registry:
# TODO: should this be a set or should we complain
# on duplicates?
addrs: list[tuple[str, int]] = []
addr: None | tuple[str, int] = None
# TODO: table of uids to sockaddrs
peers: dict[
@ -63,115 +60,69 @@ _tractor_kwargs: dict[str, Any] = {}
@acm
async def open_registry(
addrs: list[tuple[str, int]],
addr: None | tuple[str, int] = None,
ensure_exists: bool = True,
) -> list[tuple[str, int]]:
'''
Open the service-actor-discovery registry by returning a set of
tranport socket-addrs to registrar actors which may be
contacted and queried for similar addresses for other
non-registrar actors.
) -> tuple[str, int]:
'''
global _tractor_kwargs
actor = tractor.current_actor()
uid = actor.uid
preset_reg_addrs: list[tuple[str, int]] = Registry.addrs
if (
preset_reg_addrs
and addrs
Registry.addr is not None
and addr
):
if preset_reg_addrs != addrs:
# if any(addr in preset_reg_addrs for addr in addrs):
diff: set[tuple[str, int]] = set(preset_reg_addrs) - set(addrs)
if diff:
log.warning(
f'`{uid}` requested only subset of registrars: {addrs}\n'
f'However there are more @{diff}'
)
else:
raise RuntimeError(
f'`{uid}` has non-matching registrar addresses?\n'
f'request: {addrs}\n'
f'already set: {preset_reg_addrs}'
f'`{uid}` registry addr already bound @ {_registry.sockaddr}'
)
was_set: bool = False
if (
not tractor.is_root_process()
and not Registry.addrs
and Registry.addr is None
):
Registry.addrs.extend(actor.reg_addrs)
Registry.addr = actor._arb_addr
if (
ensure_exists
and not Registry.addrs
and Registry.addr is None
):
raise RuntimeError(
f"`{uid}` registry should already exist but doesn't?"
f"`{uid}` registry should already exist bug doesn't?"
)
if (
not Registry.addrs
Registry.addr is None
):
was_set = True
Registry.addrs = addrs or [_default_reg_addr]
Registry.addr = addr or _default_reg_addr
# NOTE: only spot this seems currently used is inside
# `.ui._exec` which is the (eventual qtloops) bootstrapping
# with guest mode.
_tractor_kwargs['registry_addrs'] = Registry.addrs
_tractor_kwargs['arbiter_addr'] = Registry.addr
try:
yield Registry.addrs
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.addrs = None
Registry.addr = None
@acm
async def find_service(
service_name: str,
registry_addrs: list[tuple[str, int]] | None = None,
) -> tractor.Portal | None:
first_only: bool = True,
) -> (
Portal
| list[Portal]
| None
):
reg_addrs: list[tuple[str, int]]
async with open_registry(
addrs=(
registry_addrs
# NOTE: if no addr set is passed assume the registry has
# already been opened and use the previously applied
# startup set.
or Registry.addrs
),
) as reg_addrs:
async with open_registry() as reg_addr:
log.info(f'Scanning for service `{service_name}`')
maybe_portals: list[Portal] | Portal | None
# attach to existing daemon by name if possible
async with tractor.find_actor(
service_name,
registry_addrs=reg_addrs,
only_first=first_only, # if set only returns single ref
) as maybe_portals:
if not maybe_portals:
yield None
return
yield maybe_portals
arbiter_sockaddr=reg_addr,
) as maybe_portal:
yield maybe_portal
async def check_for_service(
@ -182,11 +133,9 @@ async def check_for_service(
Service daemon "liveness" predicate.
'''
async with (
open_registry(ensure_exists=False) as reg_addr,
tractor.query_actor(
async with open_registry(ensure_exists=False) as reg_addr:
async with tractor.query_actor(
service_name,
arbiter_sockaddr=reg_addr,
) as sockaddr,
):
) as sockaddr:
return sockaddr

View File

@ -139,13 +139,6 @@ class StorageClient(
...
class TimeseriesNotFound(Exception):
'''
No timeseries entry can be found for this backend.
'''
class StorageConnectionError(ConnectionError):
'''
Can't connect to the desired tsdb subsys/service.
@ -176,13 +169,10 @@ async def open_storage_client(
tsdb_host: str = 'localhost'
# load root config and any tsdb user defined settings
conf, path = config.load(
conf_name='conf',
touch_if_dne=True,
)
conf, path = config.load('conf', touch_if_dne=True)
# TODO: maybe not under a "network" section.. since
# no more chitty `marketstore`..
# no more chitty mkts..
tsdbconf: dict = {}
service_section = conf.get('service')
if (
@ -193,11 +183,8 @@ async def open_storage_client(
# lookup backend tsdb module by name and load any user service
# settings for connecting to the tsdb service.
backend: str = tsdbconf.pop(
'name',
def_backend,
)
tsdb_host: str = tsdbconf.get('maddrs', [])
backend: str = tsdbconf.pop('backend')
tsdb_host: str = tsdbconf['host']
if backend is None:
backend: str = def_backend

View File

@ -1,5 +1,5 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of pikers)
# 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
@ -19,18 +19,10 @@ Storage middle-ware CLIs.
"""
from __future__ import annotations
# from datetime import datetime
# from contextlib import (
# AsyncExitStack,
# )
from pathlib import Path
from math import copysign
import time
from types import ModuleType
from typing import (
Any,
TYPE_CHECKING,
)
from typing import Generator
# from typing import TYPE_CHECKING
import polars as pl
import numpy as np
@ -43,21 +35,24 @@ import typer
from piker.service import open_piker_runtime
from piker.cli import cli
from piker.config import get_conf_dir
from piker.data import (
maybe_open_shm_array,
def_iohlcv_fields,
ShmArray,
)
from piker import tsp
from piker.data._formatters import BGM
from . import log
from piker.data.history import (
_default_hist_size,
_default_rt_size,
)
from . import (
log,
)
from . import (
__tsdbs__,
open_storage_client,
StorageClient,
)
if TYPE_CHECKING:
from piker.ui._remote_ctl import AnnotCtl
store = typer.Typer()
@ -103,18 +98,6 @@ def ls(
trio.run(query_all)
# TODO: like ls but takes in a pattern and matches
# @store.command()
# def search(
# patt: str,
# backends: list[str] = typer.Argument(
# default=None,
# help='Storage backends to query, default is all.'
# ),
# ):
# ...
@store.command()
def delete(
symbols: list[str],
@ -157,33 +140,20 @@ def delete(
def anal(
fqme: str,
period: int = 60,
pdb: bool = False,
) -> np.ndarray:
'''
Anal-ysis is when you take the data do stuff to it.
NOTE: This ONLY loads the offline timeseries data (by default
from a parquet file) NOT the in-shm version you might be seeing
in a chart.
'''
async def main():
async with (
open_piker_runtime(
# are you a bear or boi?
'tsdb_polars_anal',
debug_mode=pdb,
),
open_storage_client() as (
mod,
client,
debug_mode=True,
),
open_storage_client() as (mod, client),
):
syms: list[str] = await client.list_keys()
log.info(f'{len(syms)} FOUND for {mod.name}')
print(f'{len(syms)} FOUND for {mod.name}')
history: ShmArray # np buffer format
(
history,
first_dt,
@ -194,357 +164,179 @@ def anal(
)
assert first_dt < last_dt
null_segs: tuple = tsp.get_null_segs(
frame=history,
period=period,
)
# TODO: do tsp queries to backcend to fill i missing
# history and then prolly write it to tsdb!
src_df = await client.as_df(fqme, period)
from piker.data import _timeseries as tsmod
df: pl.DataFrame = tsmod.with_dts(src_df)
gaps: pl.DataFrame = tsmod.detect_time_gaps(df)
shm_df: pl.DataFrame = await client.as_df(
fqme,
period,
)
if not gaps.is_empty():
print(f'Gaps found:\n{gaps}')
df: pl.DataFrame # with dts
deduped: pl.DataFrame # deduplicated dts
(
df,
deduped,
diff,
) = tsp.dedupe(
shm_df,
period=period,
)
write_edits: bool = True
if (
write_edits
and (
diff
or null_segs
)
):
await tractor.pause()
await client.write_ohlcv(
fqme,
ohlcv=deduped,
timeframe=period,
)
else:
# TODO: something better with tab completion..
# is there something more minimal but nearly as
# functional as ipython?
await tractor.pause()
assert not null_segs
trio.run(main)
async def markup_gaps(
fqme: str,
timeframe: float,
actl: AnnotCtl,
wdts: pl.DataFrame,
gaps: pl.DataFrame,
def iter_dfs_from_shms(fqme: str) -> Generator[
tuple[Path, ShmArray, pl.DataFrame],
None,
None,
]:
# shm buffer size table based on known sample rates
sizes: dict[str, int] = {
'hist': _default_hist_size,
'rt': _default_rt_size,
}
) -> dict[int, dict]:
'''
Remote annotate time-gaps in a dt-fielded ts (normally OHLC)
with rectangles.
# load all detected shm buffer files which have the
# passed FQME pattern in the file name.
shmfiles: list[Path] = []
shmdir = Path('/dev/shm/')
'''
aids: dict[int] = {}
for i in range(gaps.height):
for shmfile in shmdir.glob(f'*{fqme}*'):
filename: str = shmfile.name
row: pl.DataFrame = gaps[i]
# skip index files
if (
'_first' in filename
or '_last' in filename
):
continue
# the gap's RIGHT-most bar's OPEN value
# at that time (sample) step.
iend: int = row['index'][0]
# dt: datetime = row['dt'][0]
# dt_prev: datetime = row['dt_prev'][0]
# dt_end_t: float = dt.timestamp()
assert shmfile.is_file()
log.debug(f'Found matching shm buffer file: {filename}')
shmfiles.append(shmfile)
for shmfile in shmfiles:
# TODO: can we eventually remove this
# once we figure out why the epoch cols
# don't match?
# TODO: FIX HOW/WHY these aren't matching
# and are instead off by 4hours (EST
# vs. UTC?!?!)
# end_t: float = row['time']
# assert (
# dt.timestamp()
# ==
# end_t
# )
# lookup array buffer size based on file suffix
# being either .rt or .hist
key: str = shmfile.name.rsplit('.')[-1]
# the gap's LEFT-most bar's CLOSE value
# at that time (sample) step.
prev_r: pl.DataFrame = wdts.filter(
pl.col('index') == iend - 1
# skip FSP buffers for now..
if key not in sizes:
continue
size: int = sizes[key]
# attach to any shm buffer, load array into polars df,
# write to local parquet file.
shm, opened = maybe_open_shm_array(
key=shmfile.name,
size=size,
dtype=def_iohlcv_fields,
readonly=True,
)
# XXX: probably a gap in the (newly sorted or de-duplicated)
# dt-df, so we might need to re-index first..
if prev_r.is_empty():
await tractor.pause()
assert not opened
ohlcv = shm.array
istart: int = prev_r['index'][0]
# dt_start_t: float = dt_prev.timestamp()
start = time.time()
# start_t: float = prev_r['time']
# assert (
# dt_start_t
# ==
# start_t
# )
# TODO: implement px-col width measure
# and ensure at least as many px-cols
# shown per rect as configured by user.
# gap_w: float = abs((iend - istart))
# if gap_w < 6:
# margin: float = 6
# iend += margin
# istart -= margin
rect_gap: float = BGM*3/8
opn: float = row['open'][0]
ro: tuple[float, float] = (
# dt_end_t,
iend + rect_gap + 1,
opn,
# XXX: thanks to this SO answer for this conversion tip:
# https://stackoverflow.com/a/72054819
df = pl.DataFrame({
field_name: ohlcv[field_name]
for field_name in ohlcv.dtype.fields
})
delay: float = round(
time.time() - start,
ndigits=6,
)
cls: float = prev_r['close'][0]
lc: tuple[float, float] = (
# dt_start_t,
istart - rect_gap, # + 1 ,
cls,
log.info(
f'numpy -> polars conversion took {delay} secs\n'
f'polars df: {df}'
)
color: str = 'dad_blue'
diff: float = cls - opn
sgn: float = copysign(1, diff)
color: str = {
-1: 'buy_green',
1: 'sell_red',
}[sgn]
rect_kwargs: dict[str, Any] = dict(
fqme=fqme,
timeframe=timeframe,
start_pos=lc,
end_pos=ro,
color=color,
yield (
shmfile,
shm,
df,
)
aid: int = await actl.add_rect(**rect_kwargs)
assert aid
aids[aid] = rect_kwargs
# tell chart to redraw all its
# graphics view layers Bo
await actl.redraw(
fqme=fqme,
timeframe=timeframe,
)
return aids
@store.command()
def ldshm(
fqme: str,
write_parquet: bool = True,
reload_parquet_to_shm: bool = True,
write_parquet: bool = False,
) -> None:
'''
Linux ONLY: load any fqme file name matching shm buffer from
/dev/shm/ into an OHLCV numpy array and polars DataFrame,
optionally write to offline storage via `.parquet` file.
optionally write to .parquet file.
'''
async def main():
from piker.ui._remote_ctl import (
open_annot_ctl,
)
actl: AnnotCtl
mod: ModuleType
client: StorageClient
async with (
open_piker_runtime(
'polars_boi',
enable_modules=['piker.data._sharedmem'],
debug_mode=True,
),
open_storage_client() as (
mod,
client,
),
open_annot_ctl() as actl,
):
shm_df: pl.DataFrame | None = None
tf2aids: dict[float, dict] = {}
for (
shmfile,
shm,
# parquet_path,
shm_df,
) in tsp.iter_dfs_from_shms(fqme):
df: pl.DataFrame | None = None
for shmfile, shm, src_df in iter_dfs_from_shms(fqme):
# compute ohlc properties for naming
times: np.ndarray = shm.array['time']
d1: float = float(times[-1] - times[-2])
d2: float = float(times[-2] - times[-3])
med: float = np.median(np.diff(times))
if (
d1 < 1.
and d2 < 1.
and med < 1.
):
secs: float = times[-1] - times[-2]
if secs < 1.:
raise ValueError(
f'Something is wrong with time period for {shm}:\n{times}'
)
period_s: float = float(max(d1, d2, med))
from piker.data import _timeseries as tsmod
df: pl.DataFrame = tsmod.with_dts(src_df)
gaps: pl.DataFrame = tsmod.detect_time_gaps(df)
null_segs: tuple = tsp.get_null_segs(
frame=shm.array,
period=period_s,
)
# TODO: call null-seg fixer somehow?
if null_segs:
await tractor.pause()
# async with (
# trio.open_nursery() as tn,
# mod.open_history_client(
# mkt,
# ) as (get_hist, config),
# ):
# nulls_detected: trio.Event = await tn.start(partial(
# tsp.maybe_fill_null_segments,
# shm=shm,
# timeframe=timeframe,
# get_hist=get_hist,
# sampler_stream=sampler_stream,
# mkt=mkt,
# ))
# over-write back to shm?
wdts: pl.DataFrame # with dts
deduped: pl.DataFrame # deduplicated dts
(
wdts,
deduped,
diff,
) = tsp.dedupe(
shm_df,
period=period_s,
)
# detect gaps from in expected (uniform OHLC) sample period
step_gaps: pl.DataFrame = tsp.detect_time_gaps(
deduped,
expect_period=period_s,
)
# TODO: by default we always want to mark these up
# with rects showing up/down gaps Bo
venue_gaps: pl.DataFrame = tsp.detect_time_gaps(
deduped,
expect_period=period_s,
# TODO: actually pull the exact duration
# expected for each venue operational period?
gap_dt_unit='days',
gap_thresh=1,
)
# TODO: find the disjoint set of step gaps from
# venue (closure) set!
# -[ ] do a set diff by checking for the unique
# gap set only in the step_gaps?
# TODO: maybe only optionally enter this depending
# on some CLI flags and/or gap detection?
if (
not venue_gaps.is_empty()
or (
period_s < 60
and not step_gaps.is_empty()
)
not gaps.is_empty()
or secs > 2
):
# write repaired ts to parquet-file?
if write_parquet:
start: float = time.time()
path: Path = await client.write_ohlcv(
fqme,
ohlcv=deduped,
timeframe=period_s,
)
write_delay: float = round(
time.time() - start,
ndigits=6,
)
await tractor.pause()
# read back from fs
start: float = time.time()
read_df: pl.DataFrame = pl.read_parquet(path)
read_delay: float = round(
# write to parquet file?
if write_parquet:
timeframe: str = f'{secs}s'
datadir: Path = get_conf_dir() / 'nativedb'
if not datadir.is_dir():
datadir.mkdir()
path: Path = datadir / f'{fqme}.{timeframe}.parquet'
# write to fs
start = time.time()
df.write_parquet(path)
delay: float = round(
time.time() - start,
ndigits=6,
)
log.info(
f'parquet write took {write_delay} secs\n'
f'parquet write took {delay} secs\n'
f'file path: {path}'
f'parquet read took {read_delay} secs\n'
)
# read back from fs
start = time.time()
read_df: pl.DataFrame = pl.read_parquet(path)
delay: float = round(
time.time() - start,
ndigits=6,
)
print(
f'parquet read took {delay} secs\n'
f'polars df: {read_df}'
)
if reload_parquet_to_shm:
new = tsp.pl2np(
deduped,
dtype=shm.array.dtype,
)
# since normally readonly
shm._array.setflags(
write=int(1),
)
shm.push(
new,
prepend=True,
start=new['index'][-1],
update_first=False, # don't update ._first
)
do_markup_gaps: bool = True
if do_markup_gaps:
new_df: pl.DataFrame = tsp.np2pl(new)
aids: dict = await markup_gaps(
fqme,
period_s,
actl,
new_df,
step_gaps,
)
# last chance manual overwrites in REPL
# await tractor.pause()
assert aids
tf2aids[period_s] = aids
else:
# allow interaction even when no ts problems.
assert not diff
await tractor.pause()
log.info('Exiting TSP shm anal-izer!')
if shm_df is None:
log.error(
f'No matching shm buffers for {fqme} ?'
)
if df is None:
log.error(f'No matching shm buffers for {fqme} ?')
trio.run(main)

View File

@ -19,8 +19,7 @@
call a poor man's tsdb).
AKA a `piker`-native file-system native "time series database"
without needing an extra process and no standard TSDB features,
YET!
without needing an extra process and no standard TSDB features, YET!
'''
# TODO: like there's soo much..
@ -56,6 +55,8 @@ from datetime import datetime
from pathlib import Path
import time
# from bidict import bidict
# import tractor
import numpy as np
import polars as pl
from pendulum import (
@ -63,18 +64,45 @@ from pendulum import (
)
from piker import config
from piker import tsp
from piker.data import (
def_iohlcv_fields,
ShmArray,
)
from piker.data import def_iohlcv_fields
from piker.data import ShmArray
from piker.log import get_logger
from . import TimeseriesNotFound
log = get_logger('storage.nativedb')
# NOTE: thanks to this SO answer for the below conversion routines
# to go from numpy struct-arrays to polars dataframes and back:
# https://stackoverflow.com/a/72054819
def np2pl(array: np.ndarray) -> pl.DataFrame:
return pl.DataFrame({
field_name: array[field_name]
for field_name in array.dtype.fields
})
def pl2np(
df: pl.DataFrame,
dtype: np.dtype,
) -> np.ndarray:
# Create numpy struct array of the correct size and dtype
# and loop through df columns to fill in array fields.
array = np.empty(
df.height,
dtype,
)
for field, col in zip(
dtype.fields,
df.columns,
):
array[field] = df.get_column(col).to_numpy()
return array
def detect_period(shm: ShmArray) -> float:
'''
Attempt to detect the series time step sampling period
@ -95,19 +123,16 @@ def detect_period(shm: ShmArray) -> float:
def mk_ohlcv_shm_keyed_filepath(
fqme: str,
period: float | int, # ow known as the "timeframe"
period: float, # ow known as the "timeframe"
datadir: Path,
) -> Path:
) -> str:
if period < 1.:
raise ValueError('Sample period should be >= 1.!?')
path: Path = (
datadir
/
f'{fqme}.ohlcv{int(period)}s.parquet'
)
period_s: str = f'{period}s'
path: Path = datadir / f'{fqme}.ohlcv{period_s}.parquet'
return path
@ -161,13 +186,7 @@ class NativeStorageClient:
def index_files(self):
for path in self._datadir.iterdir():
if (
path.is_dir()
or
'.parquet' not in str(path)
# or
# path.name in {'borked', 'expired',}
):
if path.name in {'borked', 'expired',}:
continue
key: str = path.name.rstrip('.parquet')
@ -209,21 +228,8 @@ class NativeStorageClient:
fqme,
timeframe,
)
except FileNotFoundError as fnfe:
bs_fqme, _, *_ = fqme.rpartition('.')
possible_matches: list[str] = []
for tskey in self._index:
if bs_fqme in tskey:
possible_matches.append(tskey)
match_str: str = '\n'.join(sorted(possible_matches))
raise TimeseriesNotFound(
f'No entry for `{fqme}`?\n'
f'Maybe you need a more specific fqme-key like:\n\n'
f'{match_str}'
) from fnfe
except FileNotFoundError:
return None
times = array['time']
return (
@ -236,7 +242,6 @@ class NativeStorageClient:
self,
fqme: str,
period: float,
) -> Path:
return mk_ohlcv_shm_keyed_filepath(
fqme=fqme,
@ -244,23 +249,6 @@ class NativeStorageClient:
datadir=self._datadir,
)
def _cache_df(
self,
fqme: str,
df: pl.DataFrame,
timeframe: float,
) -> None:
# cache df for later usage since we (currently) need to
# convert to np.ndarrays to push to our `ShmArray` rt
# buffers subsys but later we may operate entirely on
# pyarrow arrays/buffers so keeping the dfs around for
# a variety of purposes is handy.
self._dfs.setdefault(
timeframe,
{},
)[fqme] = df
async def read_ohlcv(
self,
fqme: str,
@ -269,20 +257,13 @@ class NativeStorageClient:
# limit: int = int(200e3),
) -> np.ndarray:
path: Path = self.mk_path(
fqme,
period=int(timeframe),
)
path: Path = self.mk_path(fqme, period=int(timeframe))
df: pl.DataFrame = pl.read_parquet(path)
self._dfs.setdefault(timeframe, {})[fqme] = df
self._cache_df(
fqme=fqme,
df=df,
timeframe=timeframe,
)
# TODO: filter by end and limit inputs
# times: pl.Series = df['time']
array: np.ndarray = tsp.pl2np(
array: np.ndarray = pl2np(
df,
dtype=np.dtype(def_iohlcv_fields),
)
@ -292,15 +273,11 @@ class NativeStorageClient:
self,
fqme: str,
period: int = 60,
load_from_offline: bool = True,
) -> pl.DataFrame:
try:
return self._dfs[period][fqme]
except KeyError:
if not load_from_offline:
raise
await self.read_ohlcv(fqme, period)
return self._dfs[period][fqme]
@ -322,22 +299,14 @@ class NativeStorageClient:
datadir=self._datadir,
)
if isinstance(ohlcv, np.ndarray):
df: pl.DataFrame = tsp.np2pl(ohlcv)
df: pl.DataFrame = np2pl(ohlcv)
else:
df = ohlcv
self._cache_df(
fqme=fqme,
df=df,
timeframe=timeframe,
)
# TODO: in terms of managing the ultra long term data
# -[ ] use a proper profiler to measure all this IO and
# - use a proper profiler to measure all this IO and
# roundtripping!
# -[ ] implement parquet append!? see issue:
# https://github.com/pikers/piker/issues/536
# -[ ] try out ``fastparquet``'s append writing:
# - try out ``fastparquet``'s append writing:
# https://fastparquet.readthedocs.io/en/latest/api.html#fastparquet.write
start = time.time()
df.write_parquet(path)
@ -345,16 +314,17 @@ class NativeStorageClient:
time.time() - start,
ndigits=6,
)
log.info(
print(
f'parquet write took {delay} secs\n'
f'file path: {path}'
)
return path
async def write_ohlcv(
self,
fqme: str,
ohlcv: np.ndarray | pl.DataFrame,
ohlcv: np.ndarray,
timeframe: int,
) -> Path:
@ -406,8 +376,6 @@ class NativeStorageClient:
# ...
# TODO: does this need to be async on average?
# I guess for any IPC connected backend yes?
@acm
async def get_client(
@ -425,7 +393,7 @@ async def get_client(
'''
datadir: Path = config.get_conf_dir() / 'nativedb'
if not datadir.is_dir():
log.info(f'Creating `nativedb` dir: {datadir}')
log.info(f'Creating `nativedb` director: {datadir}')
datadir.mkdir()
client = NativeStorageClient(datadir)

View File

@ -18,12 +18,24 @@
Toolz for debug, profile and trace of the distributed runtime :surfer:
'''
from tractor.devx import (
open_crash_handler as open_crash_handler,
from .debug import (
open_crash_handler,
)
from .profile import (
Profiler as Profiler,
pg_profile_enabled as pg_profile_enabled,
ms_slower_then as ms_slower_then,
timeit as timeit,
Profiler,
pg_profile_enabled,
ms_slower_then,
timeit,
)
# TODO: other mods to include?
# - DROP .trionics, already moved into tractor
# - move in `piker.calc`
__all__: list[str] = [
'open_crash_handler',
'pg_profile_enabled',
'ms_slower_then',
'Profiler',
'timeit',
]

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@ -0,0 +1,40 @@
# 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/>.
'''
Debugger wrappers for `pdbp` as used by `tractor`.
'''
from contextlib import contextmanager as cm
import pdbp
# TODO: better naming and what additionals?
# - optional runtime plugging?
# - detection for sync vs. async code?
# - specialized REPL entry when in distributed mode?
@cm
def open_crash_handler():
'''
Super basic crash handler using `pdbp` debugger.
'''
try:
yield
except BaseException:
pdbp.xpm()
raise

File diff suppressed because it is too large Load Diff

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@ -1,746 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of 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/>.
'''
Financial time series processing utilities usually
pertaining to OHLCV style sampled data.
Routines are generally implemented in either ``numpy`` or
``polars`` B)
'''
from __future__ import annotations
from functools import partial
from math import (
ceil,
floor,
)
import time
from typing import (
Literal,
# AsyncGenerator,
Generator,
)
import numpy as np
import polars as pl
from pendulum import (
DateTime,
from_timestamp,
)
from ..toolz.profile import (
Profiler,
pg_profile_enabled,
ms_slower_then,
)
from ..log import (
get_logger,
get_console_log,
)
# for "time series processing"
subsys: str = 'piker.tsp'
log = get_logger(subsys)
get_console_log = partial(
get_console_log,
name=subsys,
)
# NOTE: union type-defs to handle generic `numpy` and `polars` types
# side-by-side Bo
# |_ TODO: schema spec typing?
# -[ ] nptyping!
# -[ ] wtv we can with polars?
Frame = pl.DataFrame | np.ndarray
Seq = pl.Series | np.ndarray
def slice_from_time(
arr: np.ndarray,
start_t: float,
stop_t: float,
step: float, # sampler period step-diff
) -> 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]
# 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
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='right',
)
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
def get_null_segs(
frame: Frame,
period: float, # sampling step in seconds
imargin: int = 1,
col: str = 'time',
) -> tuple[
# Seq, # TODO: can we make it an array-type instead?
list[
list[int, int],
],
Seq,
Frame
] | None:
'''
Detect if there are any zero(-epoch stamped) valued
rows in for the provided `col: str` column; by default
presume the 'time' field/column.
Filter to all such zero (time) segments and return
the corresponding frame zeroed segment's,
- gap absolute (in buffer terms) indices-endpoints as
`absi_zsegs`
- abs indices of all rows with zeroed `col` values as `absi_zeros`
- the corresponding frame's row-entries (view) which are
zeroed for the `col` as `zero_t`
'''
times: Seq = frame['time']
zero_pred: Seq = (times == 0)
if isinstance(frame, np.ndarray):
tis_zeros: int = zero_pred.any()
else:
tis_zeros: int = zero_pred.any()
if not tis_zeros:
return None
# TODO: use ndarray for this?!
absi_zsegs: list[list[int, int]] = []
if isinstance(frame, np.ndarray):
# view of ONLY the zero segments as one continuous chunk
zero_t: np.ndarray = frame[zero_pred]
# abs indices of said zeroed rows
absi_zeros = zero_t['index']
# diff of abs index steps between each zeroed row
absi_zdiff: np.ndarray = np.diff(absi_zeros)
# scan for all frame-indices where the
# zeroed-row-abs-index-step-diff is greater then the
# expected increment of 1.
# data 1st zero seg data zeros
# ---- ------------ ---- ----- ------ ----
# ||||..000000000000..||||..00000..||||||..0000
# ---- ------------ ---- ----- ------ ----
# ^zero_t[0] ^zero_t[-1]
# ^fi_zgaps[0] ^fi_zgaps[1]
# ^absi_zsegs[0][0] ^---^ => absi_zsegs[1]: tuple
# absi_zsegs[0][1]^
#
# NOTE: the first entry in `fi_zgaps` is where
# the first (absolute) index step diff is > 1.
# and it is a frame-relative index into `zero_t`.
fi_zgaps = np.argwhere(
absi_zdiff > 1
# NOTE: +1 here is ensure we index to the "start" of each
# segment (if we didn't the below loop needs to be
# re-written to expect `fi_end_rows`!
) + 1
# the rows from the contiguous zeroed segments which have
# abs-index steps >1 compared to the previous zero row
# (indicating an end of zeroed segment).
fi_zseg_start_rows = zero_t[fi_zgaps]
# TODO: equiv for pl.DataFrame case!
else:
izeros: pl.Series = zero_pred.arg_true()
zero_t: pl.DataFrame = frame[izeros]
absi_zeros = zero_t['index']
absi_zdiff: pl.Series = absi_zeros.diff()
fi_zgaps = (absi_zdiff > 1).arg_true()
# XXX: our goal (in this func) is to select out slice index
# pairs (zseg0_start, zseg_end) in abs index units for each
# null-segment portion detected throughout entire input frame.
# only up to one null-segment in entire frame?
num_gaps: int = fi_zgaps.size + 1
if num_gaps < 1:
if absi_zeros.size > 1:
absi_zsegs = [[
# TODO: maybe mk these max()/min() limits func
# consts instead of called more then once?
max(
absi_zeros[0] - 1,
0,
),
# NOTE: need the + 1 to guarantee we index "up to"
# the next non-null row-datum.
min(
absi_zeros[-1] + 1,
frame['index'][-1],
),
]]
else:
# XXX EDGE CASE: only one null-datum found so
# mark the start abs index as None to trigger
# a full frame-len query to the respective backend?
absi_zsegs = [[
# see `get_hist()` in backend, should ALWAYS be
# able to handle a `start_dt=None`!
# None,
None,
absi_zeros[0] + 1,
]]
# XXX NOTE XXX: if >= 2 zeroed segments are found, there should
# ALWAYS be more then one zero-segment-abs-index-step-diff row
# in `absi_zdiff`, so loop through all such
# abs-index-step-diffs >1 (i.e. the entries of `absi_zdiff`)
# and add them as the "end index" entries for each segment.
# Then, iif NOT iterating the first such segment end, look back
# for the prior segments zero-segment start indext by relative
# indexing the `zero_t` frame by -1 and grabbing the abs index
# of what should be the prior zero-segment abs start index.
else:
# NOTE: since `absi_zdiff` will never have a row
# corresponding to the first zero-segment's row, we add it
# manually here.
absi_zsegs.append([
max(
absi_zeros[0] - 1,
0,
),
None,
])
# TODO: can we do it with vec ops?
for i, (
fi, # frame index of zero-seg start
zseg_start_row, # full row for ^
) in enumerate(zip(
fi_zgaps,
fi_zseg_start_rows,
)):
assert (zseg_start_row == zero_t[fi]).all()
iabs: int = zseg_start_row['index'][0]
absi_zsegs.append([
iabs - 1,
None, # backfilled on next iter
])
# final iter case, backfill FINAL end iabs!
if (i + 1) == fi_zgaps.size:
absi_zsegs[-1][1] = absi_zeros[-1] + 1
# NOTE: only after the first segment (due to `.diff()`
# usage above) can we do a lookback to the prior
# segment's end row and determine it's abs index to
# retroactively insert to the prior
# `absi_zsegs[i-1][1]` entry Bo
last_end: int = absi_zsegs[i][1]
if last_end is None:
prev_zseg_row = zero_t[fi - 1]
absi_post_zseg = prev_zseg_row['index'][0] + 1
# XXX: MUST BACKFILL previous end iabs!
absi_zsegs[i][1] = absi_post_zseg
else:
if 0 < num_gaps < 2:
absi_zsegs[-1][1] = min(
absi_zeros[-1] + 1,
frame['index'][-1],
)
iabs_first: int = frame['index'][0]
for start, end in absi_zsegs:
ts_start: float = times[start - iabs_first]
ts_end: float = times[end - iabs_first]
if (
(ts_start == 0 and not start == 0)
or
ts_end == 0
):
import pdbp
pdbp.set_trace()
assert end
assert start < end
log.warning(
f'Frame has {len(absi_zsegs)} NULL GAPS!?\n'
f'period: {period}\n'
f'total null samples: {len(zero_t)}\n'
)
return (
absi_zsegs, # [start, end] abs slice indices of seg
absi_zeros, # all abs indices within all null-segs
zero_t, # sliced-view of all null-segment rows-datums
)
def iter_null_segs(
timeframe: float,
frame: Frame | None = None,
null_segs: tuple | None = None,
) -> Generator[
tuple[
int, int,
int, int,
float, float,
float, float,
# Seq, # TODO: can we make it an array-type instead?
# list[
# list[int, int],
# ],
# Seq,
# Frame
],
None,
]:
if not (
null_segs := get_null_segs(
frame,
period=timeframe,
)
):
return
absi_pairs_zsegs: list[list[float, float]]
izeros: Seq
zero_t: Frame
(
absi_pairs_zsegs,
izeros,
zero_t,
) = null_segs
absi_first: int = frame[0]['index']
for (
absi_start,
absi_end,
) in absi_pairs_zsegs:
fi_end: int = absi_end - absi_first
end_row: Seq = frame[fi_end]
end_t: float = end_row['time']
end_dt: DateTime = from_timestamp(end_t)
fi_start = None
start_row = None
start_t = None
start_dt = None
if (
absi_start is not None
and start_t != 0
):
fi_start: int = absi_start - absi_first
start_row: Seq = frame[fi_start]
start_t: float = start_row['time']
start_dt: DateTime = from_timestamp(start_t)
if absi_start < 0:
import pdbp
pdbp.set_trace()
yield (
absi_start, absi_end, # abs indices
fi_start, fi_end, # relative "frame" indices
start_t, end_t,
start_dt, end_dt,
)
def with_dts(
df: pl.DataFrame,
time_col: str = 'time',
) -> pl.DataFrame:
'''
Insert datetime (casted) columns to a (presumably) OHLC sampled
time series with an epoch-time column keyed by `time_col: str`.
'''
return df.with_columns([
pl.col(time_col).shift(1).suffix('_prev'),
pl.col(time_col).diff().alias('s_diff'),
pl.from_epoch(pl.col(time_col)).alias('dt'),
]).with_columns([
pl.from_epoch(
column=pl.col(f'{time_col}_prev'),
).alias('dt_prev'),
pl.col('dt').diff().alias('dt_diff'),
])
t_unit: Literal = Literal[
'days',
'hours',
'minutes',
'seconds',
'miliseconds',
'microseconds',
'nanoseconds',
]
def detect_time_gaps(
w_dts: pl.DataFrame,
time_col: str = 'time',
# epoch sampling step diff
expect_period: float = 60,
# NOTE: legacy stock mkts have venue operating hours
# and thus gaps normally no more then 1-2 days at
# a time.
gap_thresh: float = 1.,
# TODO: allow passing in a frame of operating hours?
# -[ ] durations/ranges for faster legit gap checks?
# XXX -> must be valid ``polars.Expr.dt.<name>``
# like 'days' which a sane default for venue closures
# though will detect weekend gaps which are normal :o
gap_dt_unit: t_unit | None = None,
) -> pl.DataFrame:
'''
Filter to OHLC datums which contain sample step gaps.
For eg. legacy markets which have venue close gaps and/or
actual missing data segments.
'''
# first select by any sample-period (in seconds unit) step size
# greater then expected.
step_gaps: pl.DataFrame = w_dts.filter(
pl.col('s_diff').abs() > expect_period
)
if gap_dt_unit is None:
return step_gaps
# NOTE: this flag is to indicate that on this (sampling) time
# scale we expect to only be filtering against larger venue
# closures-scale time gaps.
return step_gaps.filter(
# Second by an arbitrary dt-unit step size
getattr(
pl.col('dt_diff').dt,
gap_dt_unit,
)().abs() > gap_thresh
)
def detect_price_gaps(
df: pl.DataFrame,
gt_multiplier: float = 2.,
price_fields: list[str] = ['high', 'low'],
) -> pl.DataFrame:
'''
Detect gaps in clearing price over an OHLC series.
2 types of gaps generally exist; up gaps and down gaps:
- UP gap: when any next sample's lo price is strictly greater
then the current sample's hi price.
- DOWN gap: when any next sample's hi price is strictly
less then the current samples lo price.
'''
# return df.filter(
# pl.col('high') - ) > expect_period,
# ).select([
# pl.dt.datetime(pl.col(time_col).shift(1)).suffix('_previous'),
# pl.all(),
# ]).select([
# pl.all(),
# (pl.col(time_col) - pl.col(f'{time_col}_previous')).alias('diff'),
# ])
...
# TODO: probably just use the null_segs impl above?
def detect_vlm_gaps(
df: pl.DataFrame,
col: str = 'volume',
) -> pl.DataFrame:
vnull: pl.DataFrame = w_dts.filter(
pl.col(col) == 0
)
return vnull
def dedupe(
src_df: pl.DataFrame,
time_gaps: pl.DataFrame | None = None,
sort: bool = True,
period: float = 60,
) -> tuple[
pl.DataFrame, # with dts
pl.DataFrame, # with deduplicated dts (aka gap/repeat removal)
int, # len diff between input and deduped
]:
'''
Check for time series gaps and if found
de-duplicate any datetime entries, check for
a frame height diff and return the newly
dt-deduplicated frame.
'''
wdts: pl.DataFrame = with_dts(src_df)
deduped = wdts
# remove duplicated datetime samples/sections
deduped: pl.DataFrame = wdts.unique(
# subset=['dt'],
subset=['time'],
maintain_order=True,
)
# maybe sort on any time field
if sort:
deduped = deduped.sort(by='time')
# TODO: detect out-of-order segments which were corrected!
# -[ ] report in log msg
# -[ ] possibly return segment sections which were moved?
diff: int = (
wdts.height
-
deduped.height
)
return (
wdts,
deduped,
diff,
)
def sort_diff(
src_df: pl.DataFrame,
col: str = 'time',
) -> tuple[
pl.DataFrame, # with dts
pl.DataFrame, # sorted
list[int], # indices of segments that are out-of-order
]:
ser: pl.Series = src_df[col]
sortd: pl.DataFrame = ser.sort()
diff: pl.Series = ser.diff()
sortd_diff: pl.Series = sortd.diff()
i_step_diff = (diff != sortd_diff).arg_true()
frame_reorders: int = i_step_diff.len()
if frame_reorders:
log.warn(
f'Resorted frame on col: {col}\n'
f'{frame_reorders}'
)
# import pdbp; pdbp.set_trace()
# NOTE: thanks to this SO answer for the below conversion routines
# to go from numpy struct-arrays to polars dataframes and back:
# https://stackoverflow.com/a/72054819
def np2pl(array: np.ndarray) -> pl.DataFrame:
start: float = time.time()
# XXX: thanks to this SO answer for this conversion tip:
# https://stackoverflow.com/a/72054819
df = pl.DataFrame({
field_name: array[field_name]
for field_name in array.dtype.fields
})
delay: float = round(
time.time() - start,
ndigits=6,
)
log.info(
f'numpy -> polars conversion took {delay} secs\n'
f'polars df: {df}'
)
return df
def pl2np(
df: pl.DataFrame,
dtype: np.dtype,
) -> np.ndarray:
# Create numpy struct array of the correct size and dtype
# and loop through df columns to fill in array fields.
array = np.empty(
df.height,
dtype,
)
for field, col in zip(
dtype.fields,
df.columns,
):
array[field] = df.get_column(col).to_numpy()
return array

View File

@ -21,16 +21,15 @@ Extensions to built-in or (heavily used but 3rd party) friend-lib
types.
'''
from __future__ import annotations
from collections import UserList
from pprint import (
saferepr,
pformat,
)
from typing import Any
from msgspec import (
msgpack,
Struct as _Struct,
Struct,
structs,
)
@ -63,7 +62,7 @@ class DiffDump(UserList):
class Struct(
_Struct,
Struct,
# https://jcristharif.com/msgspec/structs.html#tagged-unions
# tag='pikerstruct',
@ -73,27 +72,9 @@ class Struct(
A "human friendlier" (aka repl buddy) struct subtype.
'''
def _sin_props(self) -> Iterator[
tuple[
structs.FieldIinfo,
str,
Any,
]
]:
'''
Iterate over all non-@property fields of this struct.
'''
fi: structs.FieldInfo
for fi in structs.fields(self):
key: str = fi.name
val: Any = getattr(self, key)
yield fi, key, val
def to_dict(
self,
include_non_members: bool = True,
) -> dict:
'''
Like it sounds.. direct delegation to:
@ -109,72 +90,16 @@ class Struct(
# only return a dict of the struct members
# which were provided as input, NOT anything
# added as type-defined `@property` methods!
# added as `@properties`!
sin_props: dict = {}
fi: structs.FieldInfo
for fi, k, v in self._sin_props():
sin_props[k] = asdict[k]
for fi in structs.fields(self):
key: str = fi.name
sin_props[key] = asdict[key]
return sin_props
def pformat(
self,
field_indent: int = 2,
indent: int = 0,
) -> str:
'''
Recursion-safe `pprint.pformat()` style formatting of
a `msgspec.Struct` for sane reading by a human using a REPL.
'''
# global whitespace indent
ws: str = ' '*indent
# field whitespace indent
field_ws: str = ' '*(field_indent + indent)
# qtn: str = ws + self.__class__.__qualname__
qtn: str = self.__class__.__qualname__
obj_str: str = '' # accumulator
fi: structs.FieldInfo
k: str
v: Any
for fi, k, v in self._sin_props():
# TODO: how can we prefer `Literal['option1', 'option2,
# ..]` over .__name__ == `Literal` but still get only the
# latter for simple types like `str | int | None` etc..?
ft: type = fi.type
typ_name: str = getattr(ft, '__name__', str(ft))
# recurse to get sub-struct's `.pformat()` output Bo
if isinstance(v, Struct):
val_str: str = v.pformat(
indent=field_indent + indent,
field_indent=indent + field_indent,
)
else: # the `pprint` recursion-safe format:
# https://docs.python.org/3.11/library/pprint.html#pprint.saferepr
val_str: str = saferepr(v)
obj_str += (field_ws + f'{k}: {typ_name} = {val_str},\n')
return (
f'{qtn}(\n'
f'{obj_str}'
f'{ws})'
)
# TODO: use a pprint.PrettyPrinter instance around ONLY rendering
# inside a known tty?
# def __repr__(self) -> str:
# ...
# __str__ = __repr__ = pformat
__repr__ = pformat
def pformat(self) -> str:
return f'Struct({pformat(self.to_dict())})'
def copy(
self,

View File

@ -14,8 +14,9 @@
# 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/>.
'''
UI components built using `Qt` with major versions swapped in via
the import indirection in the `.qt` sub-mod.
"""
Stuff for your eyes, aka super hawt Qt UI components.
'''
Currently we only support PyQt5 due to this issue in Pyside2:
https://bugreports.qt.io/projects/PYSIDE/issues/PYSIDE-1313
"""

View File

@ -21,10 +21,8 @@ Anchor funtions for UI placement of annotions.
from __future__ import annotations
from typing import Callable, TYPE_CHECKING
from piker.ui.qt import (
QPointF,
QGraphicsPathItem,
)
from PyQt5.QtCore import QPointF
from PyQt5.QtWidgets import QGraphicsPathItem
if TYPE_CHECKING:
from ._chart import ChartPlotWidget

View File

@ -20,22 +20,12 @@ Annotations for ur faces.
"""
from typing import Callable
from pyqtgraph import (
Point,
functions as fn,
Color,
)
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QPointF, QRectF
from PyQt5.QtWidgets import QGraphicsPathItem
from pyqtgraph import Point, functions as fn, Color
import numpy as np
from piker.ui.qt import (
QtCore,
QtGui,
QtWidgets,
QPointF,
QRectF,
QGraphicsPathItem,
)
def mk_marker_path(

View File

@ -21,11 +21,9 @@ Main app startup and run.
from functools import partial
from types import ModuleType
from PyQt5.QtCore import QEvent
import trio
from piker.ui.qt import (
QEvent,
)
from ..service import maybe_spawn_brokerd
from . import _event
from ._exec import run_qtractor

View File

@ -23,24 +23,16 @@ from functools import lru_cache
from typing import Callable
from math import floor
import polars as pl
import numpy as np
import pyqtgraph as pg
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QPointF
from piker.ui.qt import (
QtCore,
QtGui,
QtWidgets,
QPointF,
txt_flag,
align_flag,
px_cache_mode,
)
from . import _pg_overrides as pgo
from ..accounting._mktinfo import float_digits
from ._label import Label
from ._style import DpiAwareFont, hcolor, _font
from ._interaction import ChartView
from ._dataviz import Viz
_axis_pen = pg.mkPen(hcolor('bracket'))
@ -295,7 +287,9 @@ class DynamicDateAxis(Axis):
# time formats mapped by seconds between bars
tick_tpl = {
60 * 60 * 24: '%Y-%b-%d',
60: '%Y-%b-%d(%H:%M)',
60: '%H:%M',
30: '%H:%M:%S',
5: '%H:%M:%S',
1: '%H:%M:%S',
}
@ -311,10 +305,10 @@ class DynamicDateAxis(Axis):
# XX: ARGGGGG AG:LKSKDJF:LKJSDFD
chart = self.pi.chart_widget
viz: Viz = chart._vizs[chart.name]
viz = chart._vizs[chart.name]
shm = viz.shm
array = shm.array
ifield: str = viz.index_field
ifield = viz.index_field
index = array[ifield]
i_0, i_l = index[0], index[-1]
@ -335,7 +329,7 @@ class DynamicDateAxis(Axis):
arr_len = index.shape[0]
first = shm._first.value
times = array['time']
epochs: list[int] = times[
epochs = times[
list(
map(
int,
@ -347,30 +341,23 @@ class DynamicDateAxis(Axis):
)
]
else:
epochs: list[int] = list(map(int, indexes))
epochs = list(map(int, indexes))
# TODO: **don't** have this hard coded shift to EST
delay: float = viz.time_step()
if delay > 1:
# NOTE: use less granular dt-str when using 1M+ OHLC
fmtstr: str = self.tick_tpl[delay]
else:
fmtstr: str = '%Y-%m-%d(%H:%M:%S)'
# https://pola-rs.github.io/polars/py-polars/html/reference/expressions/api/polars.from_epoch.html#polars-from-epoch
pl_dts: pl.Series = pl.from_epoch(
# delay = times[-1] - times[-2]
dts = np.array(
epochs,
time_unit='s',
# NOTE: kinda weird we can pass it to `.from_epoch()` no?
).dt.replace_time_zone(
time_zone='UTC'
).dt.convert_time_zone(
# TODO: pull this from either:
# -[ ] the mkt venue tz by default
# -[ ] the user's config under `sys.mkt_timezone: str`
'EST'
dtype='datetime64[s]',
)
return pl_dts.dt.to_string(fmtstr).to_list()
# see units listing:
# https://numpy.org/devdocs/reference/arrays.datetime.html#datetime-units
return list(np.datetime_as_string(dts))
# TODO: per timeframe formatting?
# - we probably need this based on zoom now right?
# prec = self.np_dt_precision[delay]
# return dts.strftime(self.tick_tpl[delay])
def tickStrings(
self,
@ -421,15 +408,11 @@ class AxisLabel(pg.GraphicsObject):
super().__init__()
self.setParentItem(parent)
self.setFlag(
self.GraphicsItemFlag.ItemIgnoresTransformations
)
self.setFlag(self.ItemIgnoresTransformations)
self.setZValue(100)
# XXX: pretty sure this is faster
self.setCacheMode(
px_cache_mode.DeviceCoordinateCache
)
self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
self._parent = parent
@ -566,14 +549,21 @@ class AxisLabel(pg.GraphicsObject):
return (self.rect.width(), self.rect.height())
# _common_text_flags = (
# QtCore.Qt.TextDontClip |
# QtCore.Qt.AlignCenter |
# QtCore.Qt.AlignTop |
# QtCore.Qt.AlignHCenter |
# QtCore.Qt.AlignVCenter
# )
class XAxisLabel(AxisLabel):
_x_margin = 8
text_flags = (
align_flag.AlignCenter
| txt_flag.TextDontClip
QtCore.Qt.TextDontClip
| QtCore.Qt.AlignCenter
)
def size_hint(self) -> tuple[float, float]:
@ -630,10 +620,10 @@ class YAxisLabel(AxisLabel):
_y_margin: int = 4
text_flags = (
align_flag.AlignLeft
| align_flag.AlignVCenter
# | align_flag.AlignHCenter
| txt_flag.TextDontClip
QtCore.Qt.AlignLeft
# QtCore.Qt.AlignHCenter
| QtCore.Qt.AlignVCenter
| QtCore.Qt.TextDontClip
)
def __init__(

View File

@ -28,20 +28,22 @@ from typing import (
TYPE_CHECKING,
)
import pyqtgraph as pg
import trio
from piker.ui.qt import (
QtCore,
QtWidgets,
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtCore import (
Qt,
QLineF,
# QPointF,
)
from PyQt5.QtWidgets import (
QFrame,
QWidget,
QHBoxLayout,
QVBoxLayout,
QSplitter,
)
import pyqtgraph as pg
import trio
from ._axes import (
DynamicDateAxis,
PriceAxis,
@ -568,8 +570,8 @@ class LinkedSplits(QWidget):
# style?
self.chart.setFrameStyle(
QFrame.Shape.StyledPanel |
QFrame.Shadow.Plain
QFrame.StyledPanel |
QFrame.Plain
)
return self.chart
@ -687,8 +689,8 @@ class LinkedSplits(QWidget):
cpw.plotItem.vb.linked = self
cpw.setFrameStyle(
QFrame.Shape.StyledPanel
# | QFrame.Shadow.Plain
QtWidgets.QFrame.StyledPanel
# | QtWidgets.QFrame.Plain
)
# don't show the little "autoscale" A label.

View File

@ -28,14 +28,9 @@ from typing import (
import inspect
import numpy as np
import pyqtgraph as pg
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtCore import QPointF, QRectF
from piker.ui.qt import (
QPointF,
QRectF,
QtCore,
QtWidgets,
px_cache_mode,
)
from ._style import (
_xaxis_at,
hcolor,
@ -109,9 +104,7 @@ class LineDot(pg.CurvePoint):
dot.setParentItem(self)
# keep a static size
self.setFlag(
self.GraphicsItemFlag.ItemIgnoresTransformations
)
self.setFlag(self.ItemIgnoresTransformations)
def event(
self,
@ -214,10 +207,9 @@ class ContentsLabel(pg.LabelItem):
# this being "html" is the dumbest shit :eyeroll:
self.setText(
"<b>i_arr</b>:{index}<br/>"
"<b>i</b>:{index}<br/>"
# NB: these fields must be indexed in the correct order via
# the slice syntax below.
"<b>i_shm</b>:{}<br/>"
"<b>epoch</b>:{}<br/>"
"<b>O</b>:{}<br/>"
"<b>H</b>:{}<br/>"
@ -227,7 +219,6 @@ class ContentsLabel(pg.LabelItem):
# "<b>wap</b>:{}".format(
*array[ix][
[
'index',
'time',
'open',
'high',
@ -279,15 +270,10 @@ class ContentsLabels:
x_in: int,
) -> None:
for (
chart,
name,
label,
update,
)in self._labels:
for chart, name, label, update in self._labels:
viz = chart.get_viz(name)
array: np.ndarray = viz.shm._array
array = viz.shm.array
index = array[viz.index_field]
start = index[0]
stop = index[-1]
@ -298,7 +284,7 @@ class ContentsLabels:
):
# out of range
print('WTF out of range?')
# continue
continue
# call provided update func with data point
try:
@ -306,7 +292,6 @@ class ContentsLabels:
ix = np.searchsorted(index, x_in)
if ix > len(array):
breakpoint()
update(ix, array)
except IndexError:
@ -431,10 +416,10 @@ class Cursor(pg.GraphicsObject):
# vertical and horizonal lines and a y-axis label
vl = plot.addLine(x=0, pen=self.lines_pen, movable=False)
vl.setCacheMode(px_cache_mode.DeviceCoordinateCache)
vl.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
hl = plot.addLine(y=0, pen=self.lines_pen, movable=False)
hl.setCacheMode(px_cache_mode.DeviceCoordinateCache)
hl.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
hl.hide()
yl = YAxisLabel(
@ -518,10 +503,7 @@ class Cursor(pg.GraphicsObject):
plot=chart
)
chart.addItem(cursor)
self.graphics[chart].setdefault(
'cursors',
[],
).append(cursor)
self.graphics[chart].setdefault('cursors', []).append(cursor)
return cursor
def mouseAction(

View File

@ -19,21 +19,20 @@ Fast, smooth, sexy curves.
"""
from contextlib import contextmanager as cm
from enum import EnumType
from typing import Callable
import numpy as np
import pyqtgraph as pg
from piker.ui.qt import (
QtWidgets,
QGraphicsItem,
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QGraphicsItem
from PyQt5.QtCore import (
Qt,
QLineF,
QRectF,
)
from PyQt5.QtGui import (
QPainter,
QPainterPath,
px_cache_mode,
)
from ._style import hcolor
from ..log import get_logger
@ -43,23 +42,22 @@ from ..toolz.profile import (
ms_slower_then,
)
log = get_logger(__name__)
pen_style: EnumType = Qt.PenStyle
_line_styles: dict[str, int] = {
'solid': pen_style.SolidLine,
'dash': pen_style.DashLine,
'dot': pen_style.DotLine,
'dashdot': pen_style.DashDotLine,
'solid': Qt.PenStyle.SolidLine,
'dash': Qt.PenStyle.DashLine,
'dot': Qt.PenStyle.DotLine,
'dashdot': Qt.PenStyle.DashDotLine,
}
class FlowGraphic(pg.GraphicsObject):
'''
Base class with minimal interface for `QPainterPath`
implemented, real-time updated "data flow" graphics.
Base class with minimal interface for `QPainterPath` implemented,
real-time updated "data flow" graphics.
See subtypes below.
@ -71,12 +69,12 @@ class FlowGraphic(pg.GraphicsObject):
# XXX-NOTE-XXX: graphics caching B)
# see explanation for different caching modes:
# https://stackoverflow.com/a/39410081
cache_mode: int = px_cache_mode.DeviceCoordinateCache
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.
# cache_mode.ItemCoordinateCache
# 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)
@ -169,16 +167,15 @@ class FlowGraphic(pg.GraphicsObject):
return None
# XXX: due to a variety of weird jitter bugs and "smearing"
# artifacts when click-drag panning and viewing history time
# series, we offer this ctx-mngr interface to allow temporarily
# disabling Qt's graphics caching mode; this is now currently
# used from ``ChartView.start/signal_ic()`` methods which also
# disable the rt-display loop when the user is moving around
# a view.
# artifacts when click-drag panning and viewing history time series,
# we offer this ctx-mngr interface to allow temporarily disabling
# Qt's graphics caching mode; this is now currently used from
# ``ChartView.start/signal_ic()`` methods which also disable the
# rt-display loop when the user is moving around a view.
@cm
def reset_cache(self) -> None:
try:
none = px_cache_mode.NoCache
none = QGraphicsItem.NoCache
log.debug(
f'{self._name} -> CACHE DISABLE: {none}'
)

View File

@ -36,12 +36,9 @@ from msgspec import (
field,
)
import numpy as np
from numpy import (
ndarray,
)
import pyqtgraph as pg
from PyQt5.QtCore import QLineF
from piker.ui.qt import QLineF
from ..data._sharedmem import (
ShmArray,
)
@ -52,7 +49,7 @@ from ..data._formatters import (
OHLCBarsAsCurveFmtr, # OHLC converted to line
StepCurveFmtr, # "step" curve (like for vlm)
)
from ..tsp import (
from ..data._timeseries import (
slice_from_time,
)
from ._ohlc import (
@ -85,11 +82,10 @@ def render_baritems(
viz: Viz,
graphics: BarItems,
read: tuple[
int, int, ndarray,
int, int, ndarray,
int, int, np.ndarray,
int, int, np.ndarray,
],
profiler: Profiler,
force_redraw: bool = False,
**kwargs,
) -> None:
@ -220,11 +216,9 @@ def render_baritems(
viz._in_ds = should_line
should_redraw = (
force_redraw
or changed_to_line
changed_to_line
or not should_line
)
# print(f'should_redraw: {should_redraw}')
return (
graphics,
r,
@ -256,7 +250,7 @@ class ViewState(Struct):
] | None = None
# last in view ``ShmArray.array[read_slc]`` data
in_view: ndarray | None = None
in_view: np.ndarray | None = None
class Viz(Struct):
@ -319,7 +313,6 @@ class Viz(Struct):
_last_uppx: float = 0
_in_ds: bool = False
_index_step: float | None = None
_time_step: float | None = None
# map from uppx -> (downsampled data, incremental graphics)
_src_r: Renderer | None = None
@ -366,8 +359,7 @@ class Viz(Struct):
def index_step(
self,
index_field: str | None = None,
reset: bool = False,
) -> float:
'''
Return the size between sample steps in the units of the
@ -375,17 +367,12 @@ class Viz(Struct):
epoch time in seconds.
'''
# attempt to detect the best step size by scanning a sample
# of the source data.
if (
self._index_step is None
or index_field is not None
):
index: ndarray = self.shm.array[
index_field
or self.index_field
]
isample: ndarray = index[-16:]
# attempt to dectect the best step size by scanning a sample of
# the source data.
if self._index_step is None:
index: np.ndarray = self.shm.array[self.index_field]
isample: np.ndarray = index[-16:]
mxdiff: None | float = None
for step in np.diff(isample):
@ -399,15 +386,7 @@ class Viz(Struct):
)
mxdiff = step
step: float = max(mxdiff, 1)
# only SET the internal index step if an explicit
# field name is NOT passed, since in such cases this
# is likely just being called from `.time_step()`.
if index_field is not None:
return step
self._index_step = step
self._index_step = max(mxdiff, 1)
if (
mxdiff < 1
or 1 < mxdiff < 60
@ -418,17 +397,6 @@ class Viz(Struct):
return self._index_step
def time_step(self) -> float:
'''
Attempt to determine the per-sample time-step period by
forcing an epoch-index and calling `.index_step()`.
'''
if self._time_step is None:
self._time_step: float = self.index_step(index_field='time')
return self._time_step
def maxmin(
self,
@ -436,9 +404,6 @@ class Viz(Struct):
i_read_range: tuple[int, int] | None = None,
use_caching: bool = True,
# XXX: internal debug
_do_print: bool = False
) -> tuple[float, float] | None:
'''
Compute the cached max and min y-range values for a given
@ -458,14 +423,15 @@ class Viz(Struct):
if shm is None:
return None
arr: ndarray = shm.array
do_print: bool = False
arr = shm.array
if i_read_range is not None:
read_slc = slice(*i_read_range)
index: float | int = arr[read_slc][self.index_field]
index = arr[read_slc][self.index_field]
if not index.size:
return None
ixrng: tuple[int, int] = (index[0], index[-1])
ixrng = (index[0], index[-1])
else:
if x_range is None:
@ -483,24 +449,15 @@ class Viz(Struct):
# TODO: hash the slice instead maybe?
# https://stackoverflow.com/a/29980872
ixrng = lbar, rbar = (
round(x_range[0]),
round(x_range[1]),
)
ixrng = lbar, rbar = round(x_range[0]), round(x_range[1])
if (
use_caching
and self._mxmn_cache_enabled
):
# TODO: is there a way to ONLY clear ranges containing
# a certain sub-range?
# -[ ] currently we have a problem where a previously
# cached mxmn will persist even if the viz is "hard
# re-rendered" (usually bc underlying data was
# corrected)
cached_result = self._mxmns.get(ixrng)
if cached_result:
if _do_print:
if do_print:
print(
f'{self.name} CACHED maxmin\n'
f'{ixrng} -> {cached_result}'
@ -530,7 +487,7 @@ class Viz(Struct):
(rbar - ifirst) + 1
)
slice_view: ndarray = arr[read_slc]
slice_view = arr[read_slc]
if not slice_view.size:
log.warning(
@ -541,7 +498,7 @@ class Viz(Struct):
elif self.ds_yrange:
mxmn = self.ds_yrange
if _do_print:
if do_print:
print(
f'{self.name} M4 maxmin:\n'
f'{ixrng} -> {mxmn}'
@ -558,7 +515,7 @@ class Viz(Struct):
mxmn = ylow, yhigh
if (
_do_print
do_print
):
s = 3
print(
@ -572,23 +529,14 @@ class Viz(Struct):
# cache result for input range
ylow, yhi = mxmn
diff: float = yhi - ylow
# order-of-magnitude check
# TODO: really we should be checking the hi or low
# against the previous sample to catch stuff like,
# - rando stock (reverse-)split
# - null-segments written by some prior
# crash-during-backfil
if diff > 0:
omg: float = abs(logf(diff, 10))
else:
omg: float = 0
try:
prolly_anomaly: bool = (
# diff == 0
(ylow and omg > 10)
(
abs(logf(ylow, 10)) > 16
if ylow
else False
)
or (
isnan(ylow) or isnan(yhi)
)
@ -615,8 +563,7 @@ class Viz(Struct):
def view_range(self) -> tuple[int, int]:
'''
Return the start and stop x-indexes for the managed
``ViewBox``.
Return the start and stop x-indexes for the managed ``ViewBox``.
'''
vr = self.plot.viewRect()
@ -629,7 +576,7 @@ class Viz(Struct):
self,
view_range: None | tuple[float, float] = None,
index_field: str | None = None,
array: ndarray | None = None,
array: np.ndarray | None = None,
) -> tuple[
int, int, int, int, int, int
@ -700,8 +647,8 @@ class Viz(Struct):
profiler: None | Profiler = None,
) -> tuple[
int, int, ndarray,
int, int, ndarray,
int, int, np.ndarray,
int, int, np.ndarray,
]:
'''
Read the underlying shm array buffer and
@ -871,10 +818,6 @@ class Viz(Struct):
graphics,
read,
profiler,
# NOTE: only set when caller says to
force_redraw=should_redraw,
**kwargs,
)
@ -1037,39 +980,6 @@ class Viz(Struct):
graphics,
)
def reset_graphics(
self,
# TODO: allow only resetting within some x-domain range?
# ixrng: tuple[int, int] | None = None,
) -> None:
'''
Hard reset all graphics (rendering) layers for this
data viz including clearing the mxmn auto-y-range
cache.
Normally called when the underlying data set is modified
(probably by some `.tsp` correcting/editing routine) and
the (now cached) graphics need to be fully re-rendered from
source.
'''
log.warning(
f'Forcing hard Viz graphihcs RESET:\n'
f'.name: {self.name}\n'
f'.index_field: {self.index_field}\n'
f'.index_step(): {self.index_step()}\n'
f'.time_step(): {self.time_step()}\n'
)
# XXX: always clear the mxn y-range cache
# to avoid old data (anomalies) from being
# retained in auto-yrange output.
self._mxmn_cache_enabled = False
self._mxmns.clear()
self.update_graphics(force_redraw=True)
self._mxmn_cache_enabled = True
def draw_last(
self,
array_key: str | None = None,
@ -1162,7 +1072,7 @@ class Viz(Struct):
'''
shm: ShmArray = self.shm
array: ndarray = shm.array
array: np.ndarray = shm.array
view: ChartView = self.plot.vb
(
vl,

View File

@ -57,7 +57,6 @@ from piker.toolz import (
Profiler,
)
from piker.log import get_logger
from piker import config
# from ..data._source import tf_in_1s
from ._axes import YAxisLabel
from ._chart import (
@ -211,9 +210,9 @@ async def increment_history_view(
):
hist_chart: ChartPlotWidget = ds.hist_chart
hist_viz: Viz = ds.hist_viz
# viz: Viz = ds.viz
viz: Viz = ds.viz
assert 'hist' in hist_viz.shm.token['shm_name']
# name: str = hist_viz.name
name: str = hist_viz.name
# TODO: seems this is more reliable at keeping the slow
# chart incremented in view more correctly?
@ -226,8 +225,7 @@ async def increment_history_view(
# draw everything from scratch on first entry!
for curve_name, hist_viz in hist_chart._vizs.items():
log.info(f'Forcing hard redraw -> {curve_name}')
hist_viz.reset_graphics()
# hist_viz.update_graphics(force_redraw=True)
hist_viz.update_graphics(force_redraw=True)
async with open_sample_stream(1.) as min_istream:
async for msg in min_istream:
@ -250,27 +248,25 @@ async def increment_history_view(
# - samplerd could emit the actual update range via
# tuple and then we only enter the below block if that
# range is detected as in-view?
# match msg:
# case {
# 'backfilling': (viz_name, timeframe),
# } if (
# viz_name == name
# ):
# log.warning(
# f'Forcing HARD REDRAW:\n'
# f'name: {name}\n'
# f'timeframe: {timeframe}\n'
# )
# # TODO: only allow this when the data is IN VIEW!
# # also, we probably can do this more efficiently
# # / smarter by only redrawing the portion of the
# # path necessary?
# {
# 60: hist_viz,
# 1: viz,
# }[timeframe].update_graphics(
# force_redraw=True
# )
if (
(bf_wut := msg.get('backfilling', False))
):
viz_name, timeframe = bf_wut
if (
viz_name == name
# TODO: only allow this when the data is IN VIEW!
# also, we probably can do this more efficiently
# / smarter by only redrawing the portion of the
# path necessary?
and False
):
log.info(f'Forcing hard redraw -> {name}@{timeframe}')
match timeframe:
case 60:
hist_viz.update_graphics(force_redraw=True)
case 1:
viz.update_graphics(force_redraw=True)
# check if slow chart needs an x-domain shift and/or
# y-range resize.
@ -311,7 +307,6 @@ async def increment_history_view(
async def graphics_update_loop(
dss: dict[str, DisplayState],
nurse: trio.Nursery,
godwidget: GodWidget,
feed: Feed,
@ -353,6 +348,8 @@ async def graphics_update_loop(
'i_last_slow_t': 0, # multiview-global slow (1m) step index
}
dss: dict[str, DisplayState] = {}
for fqme, flume in feed.flumes.items():
ohlcv = flume.rt_shm
hist_ohlcv = flume.hist_shm
@ -471,18 +468,10 @@ async def graphics_update_loop(
if ds.hist_vars['i_last'] < ds.hist_vars['i_last_append']:
await tractor.pause()
# try:
# XXX TODO: we need to do _dss UPDATE here so that when
# a feed-view is switched you can still remote annotate the
# prior view..
from . import _remote_ctl
_remote_ctl._dss.update(dss)
# main real-time quotes update loop
stream: tractor.MsgStream
async with feed.open_multi_stream() as stream:
# assert stream
assert stream
async for quotes in stream:
quote_period = time.time() - last_quote_s
quote_rate = round(
@ -498,7 +487,7 @@ async def graphics_update_loop(
pass
# log.warning(f'High quote rate {mkt.fqme}: {quote_rate}')
last_quote_s: float = time.time()
last_quote_s = time.time()
for fqme, quote in quotes.items():
ds = dss[fqme]
@ -528,12 +517,6 @@ async def graphics_update_loop(
quote,
)
# finally:
# # XXX: cancel any remote annotation control ctxs
# _remote_ctl._dss = None
# for cid, (ctx, aids) in _remote_ctl._ctxs.items():
# await ctx.cancel()
def graphics_update_cycle(
ds: DisplayState,
@ -1232,8 +1215,6 @@ async def link_views_with_region(
# region.sigRegionChangeFinished.connect(update_pi_from_region)
# NOTE: default is set to 60 FPS until the runtime delivers the
# discoverd hw value below.
_quote_throttle_rate: int = 60 - 6
@ -1252,7 +1233,7 @@ async def display_symbol_data(
fast from a cached watch-list.
'''
# sbar = godwidget.window.status_bar
sbar = godwidget.window.status_bar
# historical data fetch
# brokermod = brokers.get_brokermod(provider)
@ -1262,11 +1243,11 @@ async def display_symbol_data(
# group_key=loading_sym_key,
# )
# for fqme in fqmes:
# loading_sym_key = sbar.open_status(
# f'loading {fqme} ->',
# group_key=True
# )
for fqme in fqmes:
loading_sym_key = sbar.open_status(
f'loading {fqme} ->',
group_key=True
)
# (TODO: make this not so shit XD)
# close group status once a symbol feed fully loads to view.
@ -1275,54 +1256,26 @@ async def display_symbol_data(
# TODO: ctl over update loop's maximum frequency.
# - load this from a config.toml!
# - allow dyanmic configuration from chart UI?
(
conf,
path,
) = config.load()
ui_conf: dict = conf['ui']
global _quote_throttle_rate
from ._window import main_window
display_rate: int = floor(
main_window().current_screen().refreshRate()
) - 6
mx_redraw_rate: int = ui_conf.get(
'max_redraw_rate',
_quote_throttle_rate,
)
if mx_redraw_rate < display_rate:
log.info(
'Down-throttling redraw rate to config setting\n'
f'display FPS: {display_rate}\n'
'max_redraw_rate: {max_redraw_rate}\n'
)
else:
_quote_throttle_rate = display_rate
display_rate = main_window().current_screen().refreshRate()
_quote_throttle_rate = floor(display_rate) - 6
# TODO: we should be able to increase this if we use some
# `mypyc` speedups elsewhere? 22ish seems to be the sweet
# spot for single-feed chart.
num_of_feeds = len(fqmes)
# if num_of_feeds > 1:
mx: int = 22
if num_of_feeds > 1:
# there will be more ctx switches with more than 1 feed so we
# max throttle down a bit more.
mx_per_feed: int = (
ui_conf.get(
'per_feed_redraw_rate',
mx_redraw_rate,
)
or 16
)
mx = 16
# limit to at least display's FPS
# avoiding needless Qt-in-guest-mode context switches
cycles_per_feed = min(
round(_quote_throttle_rate/num_of_feeds),
mx_per_feed,
mx,
)
feed: Feed
@ -1467,7 +1420,7 @@ async def display_symbol_data(
start_fsp_displays,
rt_linked,
flume,
# loading_sym_key,
loading_sym_key,
loglevel,
)
@ -1586,10 +1539,8 @@ async def display_symbol_data(
)
# start update loop task
dss: dict[str, DisplayState] = {}
ln.start_soon(
graphics_update_loop,
dss,
ln,
godwidget,
feed,
@ -1603,31 +1554,15 @@ async def display_symbol_data(
order_ctl_fqme: str = fqmes[0]
mode: OrderMode
async with (
open_order_mode(
feed,
godwidget,
order_ctl_fqme,
order_mode_started,
loglevel=loglevel
) as mode,
# TODO: maybe have these startup sooner before
# order mode fully boots? but we gotta,
# -[ ] decouple the order mode bindings until
# the mode has fully booted..
# -[ ] maybe do an Event to sync?
# start input handling for ``ChartView`` input
# (i.e. kb + mouse handling loops)
rt_chart.view.open_async_input_handler(
dss=dss,
),
hist_chart.view.open_async_input_handler(
dss=dss,
),
) as mode
):
rt_linked.mode = mode
rt_viz = rt_chart.get_viz(order_ctl_fqme)

View File

@ -21,8 +21,7 @@ Higher level annotation editors.
from __future__ import annotations
from collections import defaultdict
from typing import (
Sequence,
TYPE_CHECKING,
TYPE_CHECKING
)
import pyqtgraph as pg
@ -32,34 +31,24 @@ from pyqtgraph import (
QtCore,
QtWidgets,
)
from PyQt5.QtGui import (
QColor,
)
from PyQt5.QtWidgets import (
QLabel,
)
from pyqtgraph import functions as fn
from PyQt5.QtCore import QPointF
import numpy as np
from piker.types import Struct
from piker.ui.qt import (
Qt,
QPointF,
QRectF,
QGraphicsProxyWidget,
QGraphicsScene,
QLabel,
QColor,
QTransform,
)
from ._style import (
hcolor,
_font,
)
from ._style import hcolor, _font
from ._lines import LevelLine
from ..log import get_logger
if TYPE_CHECKING:
from ._chart import (
GodWidget,
ChartPlotWidget,
)
from ._interaction import ChartView
from ._chart import GodWidget
log = get_logger(__name__)
@ -76,7 +65,7 @@ class ArrowEditor(Struct):
uid: str,
x: float,
y: float,
color: str = 'default',
color='default',
pointing: str | None = None,
) -> pg.ArrowItem:
@ -262,75 +251,43 @@ class LineEditor(Struct):
return lines
def as_point(
pair: Sequence[float, float] | QPointF,
) -> list[QPointF, QPointF]:
'''
Case any input tuple of floats to a a list of `QPoint` objects
for use in Qt geometry routines.
'''
if isinstance(pair, QPointF):
return pair
return QPointF(pair[0], pair[1])
# TODO: maybe implement better, something something RectItemProxy??
# -[ ] dig into details of how proxy's work?
# https://doc.qt.io/qt-5/qgraphicsscene.html#addWidget
# -[ ] consider using `.addRect()` maybe?
class SelectRect(QtWidgets.QGraphicsRectItem):
'''
A data-view "selection rectangle": the most fundamental
geometry for annotating data views.
- https://doc.qt.io/qt-5/qgraphicsrectitem.html
- https://doc.qt.io/qt-6/qgraphicsrectitem.html
'''
def __init__(
self,
viewbox: ViewBox,
color: str | None = None,
color: str = 'dad_blue',
) -> None:
super().__init__(0, 0, 1, 1)
# self.rbScaleBox = QGraphicsRectItem(0, 0, 1, 1)
self.vb: ViewBox = viewbox
self.vb = viewbox
self._chart: 'ChartPlotWidget' = None # noqa
self._chart: ChartPlotWidget | None = None # noqa
# TODO: maybe allow this to be dynamic via a method?
#l override selection box color
color: str = color or 'dad_blue'
# override selection box color
color = QColor(hcolor(color))
self.setPen(fn.mkPen(color, width=1))
color.setAlpha(66)
self.setBrush(fn.mkBrush(color))
self.setZValue(1e9)
self.hide()
self._label = None
label = self._label = QLabel()
label.setTextFormat(
Qt.TextFormat.MarkdownText
)
label.setTextFormat(0) # markdown
label.setFont(_font.font)
label.setMargin(0)
label.setAlignment(
QtCore.Qt.AlignLeft
# | QtCore.Qt.AlignVCenter
)
label.hide() # always right after init
# proxy is created after containing scene is initialized
self._label_proxy: QGraphicsProxyWidget | None = None
self._abs_top_right: Point | None = None
self._label_proxy = None
self._abs_top_right = None
# TODO: "swing %" might be handy here (data's max/min
# # % change)?
self._contents: list[str] = [
# TODO: "swing %" might be handy here (data's max/min # % change)
self._contents = [
'change: {pchng:.2f} %',
'range: {rng:.2f}',
'bars: {nbars}',
@ -340,31 +297,12 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
'sigma: {std:.2f}',
]
self.add_to_view(viewbox)
self.hide()
def add_to_view(
self,
view: ChartView,
) -> None:
'''
Self-defined view hookup impl which will
also re-assign the internal ref.
'''
view.addItem(
self,
ignoreBounds=True,
)
if self.vb is not view:
self.vb = view
@property
def chart(self) -> ChartPlotWidget: # noqa
def chart(self) -> 'ChartPlotWidget': # noqa
return self._chart
@chart.setter
def chart(self, chart: ChartPlotWidget) -> None: # noqa
def chart(self, chart: 'ChartPlotWidget') -> None: # noqa
self._chart = chart
chart.sigRangeChanged.connect(self.update_on_resize)
palette = self._label.palette()
@ -377,155 +315,57 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
)
def update_on_resize(self, vr, r):
'''
Re-position measure label on view range change.
"""Re-position measure label on view range change.
'''
"""
if self._abs_top_right:
self._label_proxy.setPos(
self.vb.mapFromView(self._abs_top_right)
)
def set_scen_pos(
def mouse_drag_released(
self,
scen_p1: QPointF,
scen_p2: QPointF,
update_label: bool = True,
p1: QPointF,
p2: QPointF
) -> None:
'''
Set position from scene coords of selection rect (normally
from mouse position) and accompanying label, move label to
match.
"""Called on final button release for mouse drag with start and
end positions.
'''
# NOTE XXX: apparently just setting it doesn't work!?
# i have no idea why but it's pretty weird we have to do
# this transform thing which was basically pulled verbatim
# from the `pg.ViewBox.updateScaleBox()` method.
view_rect: QRectF = self.vb.childGroup.mapRectFromScene(
QRectF(
scen_p1,
scen_p2,
)
)
self.setPos(view_rect.topLeft())
# XXX: does not work..!?!?
# https://doc.qt.io/qt-5/qgraphicsrectitem.html#setRect
# self.setRect(view_rect)
"""
self.set_pos(p1, p2)
tr = QTransform.fromScale(
view_rect.width(),
view_rect.height(),
)
self.setTransform(tr)
# XXX: never got this working, was always offset
# / transformed completely wrong (and off to the far right
# from the cursor?)
# self.set_view_pos(
# view_rect=view_rect,
# # self.vwqpToView(p1),
# # self.vb.mapToView(p2),
# # start_pos=self.vb.mapToScene(p1),
# # end_pos=self.vb.mapToScene(p2),
# )
self.show()
if update_label:
self.init_label(view_rect)
def set_view_pos(
def set_pos(
self,
start_pos: QPointF | Sequence[float, float] | None = None,
end_pos: QPointF | Sequence[float, float] | None = None,
view_rect: QRectF | None = None,
update_label: bool = True,
p1: QPointF,
p2: QPointF
) -> None:
'''
Set position from `ViewBox` coords (i.e. from the actual
data domain) of rect (and any accompanying label which is
moved to match).
"""Set position of selection rect and accompanying label, move
label to match.
'''
if self._chart is None:
raise RuntimeError(
'You MUST assign a `SelectRect.chart: ChartPlotWidget`!'
)
"""
if self._label_proxy is None:
# https://doc.qt.io/qt-5/qgraphicsproxywidget.html
self._label_proxy = self.vb.scene().addWidget(self._label)
if view_rect is None:
# ensure point casting
start_pos: QPointF = as_point(start_pos)
end_pos: QPointF = as_point(end_pos)
start_pos = self.vb.mapToView(p1)
end_pos = self.vb.mapToView(p2)
# map to view coords and update area
view_rect = QtCore.QRectF(
start_pos,
end_pos,
)
r = QtCore.QRectF(start_pos, end_pos)
self.setPos(view_rect.topLeft())
# old way; don't need right?
# lr = QtCore.QRectF(p1, p2)
# r = self.vb.childGroup.mapRectFromParent(lr)
# NOTE: SERIOUSLY NO IDEA WHY THIS WORKS...
# but it does and all the other commented stuff above
# dint, dawg..
# self.resetTransform()
# self.setRect(view_rect)
tr = QTransform.fromScale(
view_rect.width(),
view_rect.height(),
)
self.setTransform(tr)
if update_label:
self.init_label(view_rect)
print(
'SelectRect modify:\n'
f'QRectF: {view_rect}\n'
f'start_pos: {start_pos}\n'
f'end_pos: {end_pos}\n'
)
self.setPos(r.topLeft())
self.resetTransform()
self.setRect(r)
self.show()
def init_label(
self,
view_rect: QRectF,
) -> QLabel:
y1, y2 = start_pos.y(), end_pos.y()
x1, x2 = start_pos.x(), end_pos.x()
# should be init-ed in `.__init__()`
label: QLabel = self._label
cv: ChartView = self.vb
# https://doc.qt.io/qt-5/qgraphicsproxywidget.html
if self._label_proxy is None:
scen: QGraphicsScene = cv.scene()
# NOTE: specifically this is passing a widget
# pointer to the scene's `.addWidget()` as per,
# https://doc.qt.io/qt-5/qgraphicsproxywidget.html#embedding-a-widget-with-qgraphicsproxywidget
self._label_proxy: QGraphicsProxyWidget = scen.addWidget(label)
# get label startup coords
tl: QPointF = view_rect.topLeft()
br: QPointF = view_rect.bottomRight()
x1, y1 = tl.x(), tl.y()
x2, y2 = br.x(), br.y()
# TODO: to remove, previous label corner point unpacking
# x1, y1 = start_pos.x(), start_pos.y()
# x2, y2 = end_pos.x(), end_pos.y()
# y1, y2 = start_pos.y(), end_pos.y()
# x1, x2 = start_pos.x(), end_pos.x()
# TODO: heh, could probably use a max-min streamin algo
# here too?
# TODO: heh, could probably use a max-min streamin algo here too
_, xmn = min(y1, y2), min(x1, x2)
ymx, xmx = max(y1, y2), max(x1, x2)
@ -535,35 +375,26 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
ixmn, ixmx = round(xmn), round(xmx)
nbars = ixmx - ixmn + 1
chart: ChartPlotWidget = self._chart
data: np.ndarray = chart.get_viz(
chart.name
).shm.array[ixmn:ixmx]
chart = self._chart
data = chart.get_viz(chart.name).shm.array[ixmn:ixmx]
if len(data):
std: float = data['close'].std()
dmx: float = data['high'].max()
dmn: float = data['low'].min()
std = data['close'].std()
dmx = data['high'].max()
dmn = data['low'].min()
else:
dmn = dmx = std = np.nan
# update label info
label.setText('\n'.join(self._contents).format(
pchng=pchng,
rng=rng,
nbars=nbars,
std=std,
dmx=dmx,
dmn=dmn,
self._label.setText('\n'.join(self._contents).format(
pchng=pchng, rng=rng, nbars=nbars,
std=std, dmx=dmx, dmn=dmn,
))
# print(f'x2, y2: {(x2, y2)}')
# print(f'xmn, ymn: {(xmn, ymx)}')
label_anchor = Point(
xmx + 2,
ymx,
)
label_anchor = Point(xmx + 2, ymx)
# XXX: in the drag bottom-right -> top-left case we don't
# want the label to overlay the box.
@ -572,40 +403,13 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
# # label_anchor = Point(x2, y2 + self._label.height())
# label_anchor = Point(xmn, ymn)
self._abs_top_right: Point = label_anchor
self._label_proxy.setPos(
cv.mapFromView(label_anchor)
)
label.show()
self._abs_top_right = label_anchor
self._label_proxy.setPos(self.vb.mapFromView(label_anchor))
# self._label.show()
def hide(self):
'''
Clear the selection box from its graphics scene but
don't delete it permanently.
def clear(self):
"""Clear the selection box from view.
'''
super().hide()
"""
self._label.hide()
# TODO: ensure noone else using dis.
clear = hide
def delete(self) -> None:
'''
De-allocate this rect from its rendering graphics scene.
Like a permanent hide.
'''
scen: QGraphicsScene = self.scene()
if scen is None:
return
scen.removeItem(self)
if (
self._label
and
self._label_proxy
):
scen.removeItem(self._label_proxy)
self.hide()

View File

@ -23,29 +23,28 @@ from typing import Callable
import trio
from tractor.trionics import gather_contexts
from piker.ui.qt import (
QtCore,
QWidget,
QEvent,
keys,
gs_keys,
pyqtBoundSignal,
from PyQt5 import QtCore
from PyQt5.QtCore import QEvent, pyqtBoundSignal
from PyQt5.QtWidgets import QWidget
from PyQt5.QtWidgets import (
QGraphicsSceneMouseEvent as gs_mouse,
)
from piker.types import Struct
MOUSE_EVENTS = {
gs_keys.GraphicsSceneMousePress,
gs_keys.GraphicsSceneMouseRelease,
keys.MouseButtonPress,
keys.MouseButtonRelease,
gs_mouse.GraphicsSceneMousePress,
gs_mouse.GraphicsSceneMouseRelease,
QEvent.MouseButtonPress,
QEvent.MouseButtonRelease,
# QtGui.QMouseEvent,
}
# TODO: maybe consider some constrained ints down the road?
# https://pydantic-docs.helpmanual.io/usage/types/#constrained-types
class KeyboardMsg(Struct):
'''Unpacked Qt keyboard event data.
@ -115,10 +114,7 @@ class EventRelay(QtCore.QObject):
# something to do with Qt internals and calling the
# parent handler?
if etype in {
QEvent.Type.KeyPress,
QEvent.Type.KeyRelease,
}:
if etype in {QEvent.KeyPress, QEvent.KeyRelease}:
msg = KeyboardMsg(
event=ev,
@ -164,9 +160,7 @@ class EventRelay(QtCore.QObject):
async def open_event_stream(
source_widget: QWidget,
event_types: set[QEvent] = {
QEvent.Type.KeyPress,
},
event_types: set[QEvent] = {QEvent.KeyPress},
filter_auto_repeats: bool = True,
) -> trio.abc.ReceiveChannel:
@ -207,8 +201,8 @@ async def open_signal_handler(
async for args in recv:
await async_handler(*args)
async with trio.open_nursery() as tn:
tn.start_soon(proxy_to_handler)
async with trio.open_nursery() as n:
n.start_soon(proxy_to_handler)
async with send:
yield
@ -218,48 +212,18 @@ async def open_handlers(
source_widgets: list[QWidget],
event_types: set[QEvent],
# NOTE: if you want to bind in additional kwargs to the handler
# pass in a `partial()` instead!
async_handler: Callable[
[QWidget, trio.abc.ReceiveChannel], # required handler args
None
],
# XXX: these are ONLY inputs available to the
# `open_event_stream()` event-relay to mem-chan factor above!
**open_ev_stream_kwargs,
async_handler: Callable[[QWidget, trio.abc.ReceiveChannel], None],
**kwargs,
) -> None:
'''
Connect and schedule an async handler function to receive an
arbitrary `QWidget`'s events with kb/mouse msgs repacked into
structs (see above) and shuttled over a mem-chan to the input
`async_handler` to allow interaction-IO processing from
a `trio` func-as-task.
'''
widget: QWidget
streams: list[trio.abc.ReceiveChannel]
async with (
trio.open_nursery() as tn,
trio.open_nursery() as n,
gather_contexts([
open_event_stream(
widget,
event_types,
**open_ev_stream_kwargs,
)
open_event_stream(widget, event_types, **kwargs)
for widget in source_widgets
]) as streams,
):
for widget, event_recv_stream in zip(
source_widgets,
streams,
):
tn.start_soon(
async_handler,
widget,
event_recv_stream,
)
for widget, event_recv_stream in zip(source_widgets, streams):
n.start_soon(async_handler, widget, event_recv_stream)
yield

View File

@ -30,35 +30,34 @@ from typing import (
import platform
import traceback
# Qt specific
import PyQt5 # noqa
from PyQt5.QtWidgets import (
QWidget,
QMainWindow,
QApplication,
)
from PyQt5 import QtCore
from PyQt5.QtCore import (
pyqtRemoveInputHook,
Qt,
QCoreApplication,
)
import qdarkstyle
from qdarkstyle import DarkPalette
# import qdarkgraystyle # TODO: play with it
import trio
from outcome import Error
# Qt version-agnostic
from .qt import (
QWidget,
QMainWindow,
QApplication,
QtCore,
pyqtRemoveInputHook,
Qt,
QCoreApplication,
)
from ..service import (
maybe_open_pikerd,
get_runtime_vars,
get_tractor_runtime_kwargs,
)
from ..log import get_logger
from ._pg_overrides import _do_overrides
from . import _style
if TYPE_CHECKING:
from ._chart import GodWidget
log = get_logger(__name__)
# pyqtgraph global config
@ -147,7 +146,7 @@ def run_qtractor(
# load dark theme
stylesheet = qdarkstyle.load_stylesheet(
qt_api='pyqt6',
qt_api='pyqt5',
palette=DarkPalette,
)
app.setStyleSheet(stylesheet)
@ -174,9 +173,7 @@ def run_qtractor(
instance.window = window
# override tractor's defaults
tractor_kwargs.update(
get_runtime_vars()
)
tractor_kwargs.update(get_tractor_runtime_kwargs())
# define tractor entrypoint
async def main():

View File

@ -28,15 +28,9 @@ from typing import (
)
import trio
from piker.ui.qt import (
keys,
size_policy,
QtGui,
QSize,
QModelIndex,
Qt,
QEvent,
from PyQt5 import QtGui
from PyQt5.QtCore import QSize, QModelIndex, Qt, QEvent
from PyQt5.QtWidgets import (
QWidget,
QLabel,
QComboBox,
@ -45,6 +39,7 @@ from piker.ui.qt import (
QVBoxLayout,
QFormLayout,
QProgressBar,
QSizePolicy,
QStyledItemDelegate,
QStyleOptionViewItem,
)
@ -76,14 +71,14 @@ class Edit(QLineEdit):
if width_in_chars:
self._chars = int(width_in_chars)
x_size_policy = size_policy.Fixed
x_size_policy = QSizePolicy.Fixed
else:
# chart count which will be used to calculate
# width of input field.
self._chars: int = 6
# fit to surroundingn frame width
x_size_policy = size_policy.Expanding
x_size_policy = QSizePolicy.Expanding
super().__init__(parent)
@ -91,7 +86,7 @@ class Edit(QLineEdit):
# https://doc.qt.io/qt-5/qsizepolicy.html#Policy-enum
self.setSizePolicy(
x_size_policy,
size_policy.Fixed,
QSizePolicy.Fixed,
)
self.setFont(font.font)
@ -185,13 +180,11 @@ class Selection(QComboBox):
self._items: dict[str, int] = {}
super().__init__(parent=parent)
self.setSizeAdjustPolicy(
QComboBox.SizeAdjustPolicy.AdjustToContents,
)
self.setSizeAdjustPolicy(QComboBox.AdjustToContents)
# make line edit expand to surrounding frame
self.setSizePolicy(
size_policy.Expanding,
size_policy.Fixed,
QSizePolicy.Expanding,
QSizePolicy.Fixed,
)
view = self.view()
view.setUniformItemSizes(True)
@ -315,8 +308,8 @@ class FieldsForm(QWidget):
# size it as we specify
self.setSizePolicy(
size_policy.Expanding,
size_policy.Expanding,
QSizePolicy.Expanding,
QSizePolicy.Expanding,
)
# XXX: not sure why we have to create this here exactly
@ -423,8 +416,8 @@ class FieldsForm(QWidget):
select.set_items(values)
self.setSizePolicy(
size_policy.Fixed,
size_policy.Fixed,
QSizePolicy.Fixed,
QSizePolicy.Fixed,
)
select.show()
self.form.addRow(label, select)
@ -444,10 +437,7 @@ async def handle_field_input(
async for kbmsg in recv_chan:
if kbmsg.etype in {
keys.KeyPress,
keys.KeyRelease,
}:
if kbmsg.etype in {QEvent.KeyPress, QEvent.KeyRelease}:
event, etype, key, mods, txt = kbmsg.to_tuple()
print(f'key: {kbmsg.key}, mods: {kbmsg.mods}, txt: {kbmsg.txt}')
@ -713,8 +703,7 @@ def mk_fill_status_bar(
)
bottom_label = form.add_field_label(
# 'x: {step_size}',
'{unit_prefix}: {step_size}',
'x: {step_size}',
font_size=bar_label_font_size,
font_color='gunmetal',
)

View File

@ -181,10 +181,7 @@ async def open_fsp_sidepane(
async def open_fsp_actor_cluster(
names: list[str] = ['fsp_0', 'fsp_1'],
) -> AsyncGenerator[
int,
dict[str, tractor.Portal]
]:
) -> AsyncGenerator[int, dict[str, tractor.Portal]]:
from tractor._clustering import open_actor_cluster
@ -393,7 +390,7 @@ class FspAdmin:
complete: trio.Event,
started: trio.Event,
fqme: str,
dst_flume: Flume,
dst_fsp_flume: Flume,
conf: dict,
target: Fsp,
loglevel: str,
@ -411,14 +408,16 @@ class FspAdmin:
# chaining entrypoint
cascade,
# TODO: can't we just drop this and expect
# far end to read the src flume's .mkt.fqme?
# data feed key
fqme=fqme,
src_flume_addr=self.flume.to_msg(),
dst_flume_addr=dst_flume.to_msg(),
ns_path=ns_path, # edge-bind-func
# 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,
# target
ns_path=ns_path,
loglevel=loglevel,
zero_on_step=conf.get('zero_on_step', False),
@ -432,14 +431,14 @@ class FspAdmin:
ctx.open_stream() as stream,
):
dst_flume.stream: tractor.MsgStream = stream
dst_fsp_flume.stream: tractor.MsgStream = stream
# register output data
self._registry[
(fqme, ns_path)
] = (
stream,
dst_flume.rt_shm,
dst_fsp_flume.rt_shm,
complete
)
@ -516,7 +515,7 @@ class FspAdmin:
broker='piker',
_atype='fsp',
)
dst_flume = Flume(
dst_fsp_flume = Flume(
mkt=mkt,
_rt_shm_token=dst_shm.token,
first_quote={},
@ -544,13 +543,13 @@ class FspAdmin:
complete,
started,
fqme,
dst_flume,
dst_fsp_flume,
conf,
target,
loglevel,
)
return dst_flume, started
return dst_fsp_flume, started
async def open_fsp_chart(
self,
@ -560,7 +559,7 @@ class FspAdmin:
conf: dict, # yeah probably dumb..
loglevel: str = 'error',
) -> trio.Event:
) -> (trio.Event, ChartPlotWidget):
flume, started = await self.start_engine_task(
target,
@ -927,7 +926,7 @@ async def start_fsp_displays(
linked: LinkedSplits,
flume: Flume,
# group_status_key: str,
group_status_key: str,
loglevel: str,
) -> None:
@ -974,23 +973,21 @@ async def start_fsp_displays(
flume,
) as admin,
):
statuses: list[trio.Event] = []
statuses = []
for target, conf in fsp_conf.items():
started: trio.Event = await admin.open_fsp_chart(
started = await admin.open_fsp_chart(
target,
conf,
)
# done = linked.window().status_bar.open_status(
# f'loading fsp, {target}..',
# group_key=group_status_key,
# )
# statuses.append((started, done))
statuses.append(started)
done = linked.window().status_bar.open_status(
f'loading fsp, {target}..',
group_key=group_status_key,
)
statuses.append((started, done))
# for fsp_loaded, status_cb in statuses:
for fsp_loaded in statuses:
for fsp_loaded, status_cb in statuses:
await fsp_loaded.wait()
profiler(f'attached to fsp portal: {target}')
# status_cb()
status_cb()
# blocks on nursery until all fsp actors complete

View File

@ -15,18 +15,15 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
`QIcon` hackery.
Mostly dynamically loading pixmaps for use with `QGraphicsScene`.
``QIcon`` hackery.
'''
from piker.ui.qt import (
QSize,
QStyle,
QIcon,
QPixmap,
QColor,
from PyQt5.QtWidgets import QStyle
from PyQt5.QtGui import (
QIcon, QPixmap, QColor
)
from PyQt5.QtCore import QSize
from ._style import hcolor
# https://www.pythonguis.com/faq/built-in-qicons-pyqt/
@ -47,8 +44,7 @@ def mk_icons(
size: QSize,
) -> dict[str, QIcon]:
'''
This helper is indempotent.
'''This helper is indempotent.
'''
global _icons, _icon_names
@ -60,11 +56,7 @@ def mk_icons(
# load account selection using current style
for name, icon_name in _icon_names.items():
stdpixmap = getattr(
# https://www.pythonguis.com/faq/built-in-qicons-pyqt/
QStyle.StandardPixmap, # pyqt/pyside6
icon_name,
)
stdpixmap = getattr(QStyle, icon_name)
stdicon = style.standardIcon(stdpixmap)
pixmap = stdicon.pixmap(size)

View File

@ -23,7 +23,6 @@ from contextlib import (
asynccontextmanager,
ExitStack,
)
from functools import partial
import time
from typing import (
Callable,
@ -31,26 +30,24 @@ from typing import (
)
import pyqtgraph as pg
# NOTE XXX: pg is super annoying and re-implements it's own mouse
# event subsystem.. we should really look into re-working/writing
# this down the road.. Bo
from pyqtgraph.GraphicsScene import mouseEvents as mevs
# from pyqtgraph.GraphicsScene.mouseEvents import MouseDragEvent
# from pyqtgraph.GraphicsScene import mouseEvents
from PyQt5.QtWidgets import QGraphicsSceneMouseEvent as gs_mouse
from PyQt5.QtGui import (
QWheelEvent,
)
from PyQt5.QtCore import (
Qt,
QEvent,
)
from pyqtgraph import (
ViewBox,
Point,
QtCore,
functions as fn,
)
from pyqtgraph import functions as fn
import numpy as np
import trio
from piker.ui.qt import (
QWheelEvent,
QGraphicsSceneMouseEvent as gs_mouse,
Qt,
QEvent,
)
from ..log import get_logger
from ..toolz import (
Profiler,
@ -73,28 +70,27 @@ if TYPE_CHECKING:
)
from ._dataviz import Viz
from .order_mode import OrderMode
from ._display import DisplayState
log = get_logger(__name__)
NUMBER_LINE = {
Qt.Key.Key_1,
Qt.Key.Key_2,
Qt.Key.Key_3,
Qt.Key.Key_4,
Qt.Key.Key_5,
Qt.Key.Key_6,
Qt.Key.Key_7,
Qt.Key.Key_8,
Qt.Key.Key_9,
Qt.Key.Key_0,
Qt.Key_1,
Qt.Key_2,
Qt.Key_3,
Qt.Key_4,
Qt.Key_5,
Qt.Key_6,
Qt.Key_7,
Qt.Key_8,
Qt.Key_9,
Qt.Key_0,
}
ORDER_MODE = {
Qt.Key.Key_A,
Qt.Key.Key_F,
Qt.Key.Key_D,
Qt.Key_A,
Qt.Key_F,
Qt.Key_D,
}
@ -102,7 +98,6 @@ async def handle_viewmode_kb_inputs(
view: ChartView,
recv_chan: trio.abc.ReceiveChannel,
dss: dict[str, DisplayState],
) -> None:
@ -178,42 +173,17 @@ async def handle_viewmode_kb_inputs(
Qt.Key_P,
}
):
import tractor
feed = order_mode.feed # noqa
chart = order_mode.chart # noqa
viz = chart.main_viz # noqa
vlm_chart = chart.linked.subplots['volume'] # noqa
vlm_viz = vlm_chart.main_viz # noqa
dvlm_pi = vlm_chart._vizs['dolla_vlm'].plot # noqa
import tractor
await tractor.pause()
view.interact_graphics_cycle()
# FORCE graphics reset-and-render of all currently
# shown data `Viz`s for the current chart app.
if (
ctrl
and key in {
Qt.Key_R,
}
):
fqme: str
ds: DisplayState
for fqme, ds in dss.items():
viz: Viz
for tf, viz in {
60: ds.hist_viz,
1: ds.viz,
}.items():
# TODO: only allow this when the data is IN VIEW!
# also, we probably can do this more efficiently
# / smarter by only redrawing the portion of the
# path necessary?
viz.reset_graphics()
# ------ - ------
# SEARCH MODE
# ------ - ------
# SEARCH MODE #
# ctlr-<space>/<l> for "lookup", "search" -> open search tree
if (
ctrl
@ -273,10 +243,8 @@ async def handle_viewmode_kb_inputs(
delta=-view.def_delta,
)
elif (
not ctrl
and key == Qt.Key_R
):
elif key == Qt.Key_R:
# NOTE: seems that if we don't yield a Qt render
# cycle then the m4 downsampled curves will show here
# without another reset..
@ -459,7 +427,6 @@ async def handle_viewmode_mouse(
view: ChartView,
recv_chan: trio.abc.ReceiveChannel,
dss: dict[str, DisplayState],
) -> None:
@ -499,7 +466,6 @@ class ChartView(ViewBox):
mode_name: str = 'view'
def_delta: float = 616 * 6
def_scale_factor: float = 1.016 ** (def_delta * -1 / 20)
# annots: dict[int, GraphicsObject] = {}
def __init__(
self,
@ -520,7 +486,6 @@ class ChartView(ViewBox):
# defaultPadding=0.,
**kwargs
)
# for "known y-range style"
self._static_yrange = static_yrange
@ -535,11 +500,7 @@ class ChartView(ViewBox):
# add our selection box annotator
self.select_box = SelectRect(self)
# self.select_box.add_to_view(self)
# self.addItem(
# self.select_box,
# ignoreBounds=True,
# )
self.addItem(self.select_box, ignoreBounds=True)
self.mode = None
self.order_mode: bool = False
@ -596,7 +557,6 @@ class ChartView(ViewBox):
@asynccontextmanager
async def open_async_input_handler(
self,
**handler_kwargs,
) -> ChartView:
@ -607,20 +567,14 @@ class ChartView(ViewBox):
QEvent.KeyPress,
QEvent.KeyRelease,
},
async_handler=partial(
handle_viewmode_kb_inputs,
**handler_kwargs,
),
async_handler=handle_viewmode_kb_inputs,
),
_event.open_handlers(
[self],
event_types={
gs_mouse.GraphicsSceneMousePress,
},
async_handler=partial(
handle_viewmode_mouse,
**handler_kwargs,
),
async_handler=handle_viewmode_mouse,
),
):
yield self
@ -757,18 +711,17 @@ class ChartView(ViewBox):
def mouseDragEvent(
self,
ev: mevs.MouseDragEvent,
ev,
axis: int | None = None,
) -> None:
pos: Point = ev.pos()
lastPos: Point = ev.lastPos()
dif: Point = (pos - lastPos) * -1
# dif: Point = pos - lastPos
# dif: Point = dif * -1
pos = ev.pos()
lastPos = ev.lastPos()
dif = pos - lastPos
dif = dif * -1
# NOTE: if axis is specified, event will only affect that axis.
btn = ev.button()
button = ev.button()
# Ignore axes if mouse is disabled
mouseEnabled = np.array(
@ -780,7 +733,7 @@ class ChartView(ViewBox):
mask[1-axis] = 0.0
# Scale or translate based on mouse button
if btn & (
if button & (
QtCore.Qt.LeftButton | QtCore.Qt.MidButton
):
# zoom y-axis ONLY when click-n-drag on it
@ -803,55 +756,34 @@ class ChartView(ViewBox):
# XXX: WHY
ev.accept()
down_pos: Point = ev.buttonDownPos(
btn=btn,
)
scen_pos: Point = ev.scenePos()
scen_down_pos: Point = ev.buttonDownScenePos(
btn=btn,
)
down_pos = ev.buttonDownPos()
# This is the final position in the drag
if ev.isFinish():
# import pdbp; pdbp.set_trace()
self.select_box.mouse_drag_released(down_pos, pos)
# NOTE: think of this as a `.mouse_drag_release()`
# (bc HINT that's what i called the shit ass
# method that wrapped this call [yes, as a single
# fucking call] originally.. you bish, guille)
# Bo.. oraleeee
self.select_box.set_scen_pos(
# down_pos,
# pos,
scen_down_pos,
scen_pos,
)
# this is the zoom transform cmd
ax = QtCore.QRectF(down_pos, pos)
ax = self.childGroup.mapRectFromParent(ax)
# self.showAxRect(ax)
# this is the zoom transform cmd
self.showAxRect(ax)
# axis history tracking
self.axHistoryPointer += 1
self.axHistory = self.axHistory[
:self.axHistoryPointer] + [ax]
else:
self.select_box.set_scen_pos(
# down_pos,
# pos,
scen_down_pos,
scen_pos,
)
print('drag finish?')
self.select_box.set_pos(down_pos, pos)
# update shape of scale box
# self.updateScaleBox(ev.buttonDownPos(), ev.pos())
# breakpoint()
# self.updateScaleBox(
# down_pos,
# ev.pos(),
# )
self.updateScaleBox(
down_pos,
ev.pos(),
)
# PANNING MODE
else:
@ -890,7 +822,7 @@ class ChartView(ViewBox):
# ev.accept()
# WEIRD "RIGHT-CLICK CENTER ZOOM" MODE
elif btn & QtCore.Qt.RightButton:
elif button & QtCore.Qt.RightButton:
if self.state['aspectLocked'] is not False:
mask[0] = 0

View File

@ -21,12 +21,9 @@ Double auction top-of-book (L1) graphics.
from typing import Tuple
import pyqtgraph as pg
from PyQt5 import QtCore, QtGui
from PyQt5.QtCore import QPointF
from piker.ui.qt import (
QPointF,
QtCore,
QtGui,
)
from ._axes import YAxisLabel
from ._style import hcolor
from ._pg_overrides import PlotItem

View File

@ -25,17 +25,10 @@ from typing import (
)
import pyqtgraph as pg
from PyQt5 import QtGui, QtWidgets
from PyQt5.QtWidgets import QLabel, QSizePolicy
from PyQt5.QtCore import QPointF, QRectF, Qt
from piker.ui.qt import (
px_cache_mode,
QtGui,
QtWidgets,
QLabel,
size_policy,
QPointF,
QRectF,
Qt,
)
from ._style import (
DpiAwareFont,
hcolor,
@ -85,7 +78,7 @@ class Label:
self._x_offset = x_offset
txt = self.txt = QtWidgets.QGraphicsTextItem(parent=parent)
txt.setCacheMode(px_cache_mode.DeviceCoordinateCache)
txt.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
vb.scene().addItem(txt)
@ -110,7 +103,7 @@ class Label:
self._anchor_func = self.txt.pos().x
# not sure if this makes a diff
self.txt.setCacheMode(px_cache_mode.DeviceCoordinateCache)
self.txt.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
# TODO: edit and selection support
# https://doc.qt.io/qt-5/qt.html#TextInteractionFlag-enum
@ -306,14 +299,12 @@ class FormatLabel(QLabel):
"""
)
self.setFont(_font.font)
self.setTextFormat(
Qt.TextFormat.MarkdownText
)
self.setTextFormat(Qt.MarkdownText) # markdown
self.setMargin(0)
self.setSizePolicy(
size_policy.Expanding,
size_policy.Expanding,
QSizePolicy.Expanding,
QSizePolicy.Expanding,
)
self.setAlignment(
Qt.AlignVCenter | Qt.AlignLeft

View File

@ -27,22 +27,10 @@ from typing import (
)
import pyqtgraph as pg
from pyqtgraph import (
Point,
functions as fn,
)
from pyqtgraph import Point, functions as fn
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QPointF
from piker.ui.qt import (
px_cache_mode,
QtCore,
QtGui,
QGraphicsPathItem,
QStyleOptionGraphicsItem,
QGraphicsItem,
QGraphicsScene,
QWidget,
QPointF,
)
from ._annotate import LevelMarker
from ._anchors import (
vbr_left,
@ -142,9 +130,7 @@ class LevelLine(pg.InfiniteLine):
self._right_end_sc: float = 0
# use px caching
self.setCacheMode(
px_cache_mode.DeviceCoordinateCache
)
self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
def txt_offsets(self) -> tuple[int, int]:
return 0, 0
@ -215,7 +201,7 @@ class LevelLine(pg.InfiniteLine):
) -> None:
if not called_from_on_pos_change:
last: float = self.value()
last = self.value()
# if the position hasn't changed then ``.update_labels()``
# will not be called by a non-triggered `.on_pos_change()`,
@ -322,7 +308,7 @@ class LevelLine(pg.InfiniteLine):
Remove this line from containing chart/view/scene.
'''
scene: QGraphicsScene = self.scene()
scene = self.scene()
if scene:
for label in self._labels:
label.delete()
@ -353,8 +339,8 @@ class LevelLine(pg.InfiniteLine):
self,
p: QtGui.QPainter,
opt: QStyleOptionGraphicsItem,
w: QWidget
opt: QtWidgets.QStyleOptionGraphicsItem,
w: QtWidgets.QWidget
) -> None:
'''
@ -431,9 +417,9 @@ class LevelLine(pg.InfiniteLine):
def add_marker(
self,
path: QGraphicsPathItem,
path: QtWidgets.QGraphicsPathItem,
) -> QGraphicsPathItem:
) -> QtWidgets.QGraphicsPathItem:
self._marker = path
self._marker.setPen(self.currentPen)

View File

@ -20,14 +20,16 @@ Super fast OHLC sampling graphics types.
from __future__ import annotations
import numpy as np
from piker.ui.qt import (
from PyQt5 import (
QtGui,
QtWidgets,
QPainterPath,
)
from PyQt5.QtCore import (
QLineF,
QRectF,
)
from PyQt5.QtGui import QPainterPath
from ._curve import FlowGraphic
from ..toolz import (
Profiler,

View File

@ -24,6 +24,8 @@ view transforms.
"""
import pyqtgraph as pg
from ._axes import Axis
def invertQTransform(tr):
"""Return a QTransform that is the inverse of *tr*.
@ -51,9 +53,6 @@ def _do_overrides() -> None:
pg.functions.invertQTransform = invertQTransform
pg.PlotItem = PlotItem
from ._axes import Axis
pg.Axis = Axis
# enable "QPainterPathPrivate for faster arrayToQPath" from
# https://github.com/pyqtgraph/pyqtgraph/pull/2324
pg.setConfigOption('enableExperimental', True)
@ -235,7 +234,7 @@ class PlotItem(pg.PlotItem):
# ``ViewBox`` geometry bug.. where a gap for the
# 'bottom' axis is somehow left in?
# axis = pg.AxisItem(orientation=name, parent=self)
axis = pg.Axis(
axis = Axis(
self,
orientation=name,
parent=self,

View File

@ -344,10 +344,7 @@ class SettingsPane:
dsize = tracker.live_pp.dsize
# READ out settings and update the status UI / settings widgets
unit_char: str = {
'currency': '$',
'units': 'u',
}[alloc.size_unit]
suffix = {'currency': ' $', 'units': ' u'}[alloc.size_unit]
size_unit, limit = alloc.limit_info()
step_size, currency_per_slot = alloc.step_sizes()
@ -361,11 +358,10 @@ class SettingsPane:
self.apply_setting('limit', limit)
self.step_label.format(
unit_prefix=unit_char,
step_size=str(humanize(step_size))
step_size=str(humanize(step_size)) + suffix
)
self.limit_label.format(
limit=f'{unit_char}: {str(humanize(limit))}'
limit=str(humanize(limit)) + suffix
)
# update size unit in UI

View File

@ -1,426 +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/>.
'''
Remote control tasks for sending annotations (and maybe more cmds)
to a chart from some other actor.
'''
from __future__ import annotations
from contextlib import (
asynccontextmanager as acm,
AsyncExitStack,
)
from functools import partial
from pprint import pformat
from typing import (
# Any,
AsyncContextManager,
)
import tractor
from tractor import trionics
from tractor import (
Portal,
Context,
MsgStream,
)
from piker.log import get_logger
from piker.types import Struct
from piker.service import find_service
from piker.brokers import SymbolNotFound
from piker.ui.qt import (
QGraphicsItem,
)
from ._display import DisplayState
from ._interaction import ChartView
from ._editors import SelectRect
from ._chart import ChartPlotWidget
from ._dataviz import Viz
log = get_logger(__name__)
# NOTE: this is UPDATED by the `._display.graphics_update_loop()`
# once all chart widgets / Viz per flume have been initialized
# allowing for remote annotation (control) of any chart-actor's mkt
# feed by fqme lookup Bo
_dss: dict[str, DisplayState] = {}
# stash each and every client connection so that they can all
# be cancelled on shutdown/error.
# TODO: make `tractor.Context` hashable via is `.cid: str`?
# _ctxs: set[Context] = set()
# TODO: use type statements from 3.12+
IpcCtxTable = dict[
str, # each `Context.cid`
tuple[
Context, # handle for ctx-cancellation
set[int] # set of annotation (instance) ids
]
]
_ctxs: IpcCtxTable = {}
# XXX: global map of all uniquely created annotation-graphics so
# that they can be mutated (eventually) by a client.
# NOTE: this map is only populated on the `chart` actor side (aka
# the "annotations server" which actually renders to a Qt canvas).
# type AnnotsTable = dict[int, QGraphicsItem]
AnnotsTable = dict[int, QGraphicsItem]
_annots: AnnotsTable = {}
async def serve_rc_annots(
ipc_key: str,
annot_req_stream: MsgStream,
dss: dict[str, DisplayState],
ctxs: IpcCtxTable,
annots: AnnotsTable,
) -> None:
async for msg in annot_req_stream:
match msg:
case {
'cmd': 'SelectRect',
'fqme': fqme,
'timeframe': timeframe,
'meth': str(meth),
'kwargs': dict(kwargs),
}:
ds: DisplayState = _dss[fqme]
chart: ChartPlotWidget = {
60: ds.hist_chart,
1: ds.chart,
}[timeframe]
cv: ChartView = chart.cv
# annot type lookup from cmd
rect = SelectRect(
viewbox=cv,
# TODO: make this more dynamic?
# -[ ] pull from conf.toml?
# -[ ] add `.set_color()` method to type?
# -[ ] make a green/red based on direction
# instead of default static color?
color=kwargs.pop('color', None),
)
# XXX NOTE: this is REQUIRED to set the rect
# resize callback!
rect.chart: ChartPlotWidget = chart
# delegate generically to the requested method
getattr(rect, meth)(**kwargs)
rect.show()
aid: int = id(rect)
annots[aid] = rect
aids: set[int] = ctxs[ipc_key][1]
aids.add(aid)
await annot_req_stream.send(aid)
case {
'cmd': 'remove',
'aid': int(aid),
}:
# NOTE: this is normally entered on
# a client's annotation de-alloc normally
# prior to detach or modify.
annot: QGraphicsItem = annots[aid]
annot.delete()
# respond to client indicating annot
# was indeed deleted.
await annot_req_stream.send(aid)
case {
'cmd': 'redraw',
'fqme': fqme,
'timeframe': timeframe,
# TODO: maybe more fields?
# 'render': int(aid),
# 'viz_name': str(viz_name),
}:
# NOTE: old match from the 60s display loop task
# | {
# 'backfilling': (str(viz_name), timeframe),
# }:
ds: DisplayState = _dss[fqme]
viz: Viz = {
60: ds.hist_viz,
1: ds.viz,
}[timeframe]
log.warning(
f'Forcing VIZ REDRAW:\n'
f'fqme: {fqme}\n'
f'timeframe: {timeframe}\n'
)
viz.reset_graphics()
case _:
log.error(
'Unknown remote annotation cmd:\n'
f'{pformat(msg)}'
)
@tractor.context
async def remote_annotate(
ctx: Context,
) -> None:
global _dss, _ctxs
assert _dss
_ctxs[ctx.cid] = (ctx, set())
# send back full fqme symbology to caller
await ctx.started(list(_dss))
# open annot request handler stream
async with ctx.open_stream() as annot_req_stream:
try:
await serve_rc_annots(
ipc_key=ctx.cid,
annot_req_stream=annot_req_stream,
dss=_dss,
ctxs=_ctxs,
annots=_annots,
)
finally:
# ensure all annots for this connection are deleted
# on any final teardown
(_ctx, aids) = _ctxs[ctx.cid]
assert _ctx is ctx
for aid in aids:
annot: QGraphicsItem = _annots[aid]
annot.delete()
class AnnotCtl(Struct):
'''
A control for remote "data annotations".
You know those "squares they always show in machine vision
UIs.." this API allows you to remotely control stuff like that
in some other graphics actor.
'''
ctx2fqmes: dict[str, str]
fqme2ipc: dict[str, MsgStream]
_annot_stack: AsyncExitStack
# runtime-populated mapping of all annotation
# ids to their equivalent IPC msg-streams.
_ipcs: dict[int, MsgStream] = {}
def _get_ipc(
self,
fqme: str,
) -> MsgStream:
ipc: MsgStream = self.fqme2ipc.get(fqme)
if ipc is None:
raise SymbolNotFound(
'No chart (actor) seems to have mkt feed loaded?\n'
f'{fqme}'
)
return ipc
async def add_rect(
self,
fqme: str,
timeframe: float,
start_pos: tuple[float, float],
end_pos: tuple[float, float],
# TODO: a `Literal['view', 'scene']` for this?
domain: str = 'view', # or 'scene'
color: str = 'dad_blue',
from_acm: bool = False,
) -> int:
'''
Add a `SelectRect` annotation to the target view, return
the instances `id(obj)` from the remote UI actor.
'''
ipc: MsgStream = self._get_ipc(fqme)
await ipc.send({
'fqme': fqme,
'cmd': 'SelectRect',
'timeframe': timeframe,
# 'meth': str(meth),
'meth': 'set_view_pos' if domain == 'view' else 'set_scene_pos',
'kwargs': {
'start_pos': tuple(start_pos),
'end_pos': tuple(end_pos),
'color': color,
'update_label': False,
},
})
aid: int = await ipc.receive()
self._ipcs[aid] = ipc
if not from_acm:
self._annot_stack.push_async_callback(
partial(
self.remove,
aid,
)
)
return aid
async def remove(
self,
aid: int,
) -> bool:
'''
Remove an existing annotation by instance id.
'''
ipc: MsgStream = self._ipcs[aid]
await ipc.send({
'cmd': 'remove',
'aid': aid,
})
removed: bool = await ipc.receive()
return removed
@acm
async def open_rect(
self,
**kwargs,
) -> int:
try:
aid: int = await self.add_rect(
from_acm=True,
**kwargs,
)
yield aid
finally:
await self.remove(aid)
async def redraw(
self,
fqme: str,
timeframe: float,
) -> None:
await self._get_ipc(fqme).send({
'cmd': 'redraw',
'fqme': fqme,
# 'render': int(aid),
# 'viz_name': str(viz_name),
'timeframe': timeframe,
})
# TODO: do we even need this?
# async def modify(
# self,
# aid: int, # annotation id
# meth: str, # far end graphics object method to invoke
# params: dict[str, Any], # far end `meth(**kwargs)`
# ) -> bool:
# '''
# Modify an existing (remote) annotation's graphics
# paramters, thus changing it's appearance / state in real
# time.
# '''
# raise NotImplementedError
@acm
async def open_annot_ctl(
uid: tuple[str, str] | None = None,
) -> AnnotCtl:
# TODO: load connetion to a specific chart actor
# -[ ] pull from either service scan or config
# -[ ] return some kinda client/proxy thinger?
# -[ ] maybe we should finally just provide this as
# a `tractor.hilevel.CallableProxy` or wtv?
# -[ ] use this from the storage.cli stuff to mark up gaps!
maybe_portals: list[Portal] | None
fqmes: list[str]
async with find_service(
service_name='chart',
first_only=False,
) as maybe_portals:
ctx_mngrs: list[AsyncContextManager] = []
# TODO: print the current discoverable actor UID set
# here as well?
if not maybe_portals:
raise RuntimeError('No chart UI actors found in service domain?')
for portal in maybe_portals:
ctx_mngrs.append(
portal.open_context(remote_annotate)
)
ctx2fqmes: dict[str, set[str]] = {}
fqme2ipc: dict[str, MsgStream] = {}
stream_ctxs: list[AsyncContextManager] = []
async with (
trionics.gather_contexts(ctx_mngrs) as ctxs,
):
for (ctx, fqmes) in ctxs:
stream_ctxs.append(ctx.open_stream())
# fill lookup table of mkt addrs to IPC ctxs
for fqme in fqmes:
if other := fqme2ipc.get(fqme):
raise ValueError(
f'More then one chart displays {fqme}!?\n'
'Other UI actor info:\n'
f'channel: {other._ctx.chan}]\n'
f'actor uid: {other._ctx.chan.uid}]\n'
f'ctx id: {other._ctx.cid}]\n'
)
ctx2fqmes.setdefault(
ctx.cid,
set(),
).add(fqme)
async with trionics.gather_contexts(stream_ctxs) as streams:
for stream in streams:
fqmes: set[str] = ctx2fqmes[stream._ctx.cid]
for fqme in fqmes:
fqme2ipc[fqme] = stream
# NOTE: on graceful teardown we always attempt to
# remove all annots that were created by the
# entering client.
# TODO: should we maybe instead/also do this on the
# server-actor side so that when a client
# disconnects we always delete all annotations by
# default instaead of expecting the client to?
async with AsyncExitStack() as annots_stack:
client = AnnotCtl(
ctx2fqmes=ctx2fqmes,
fqme2ipc=fqme2ipc,
_annot_stack=annots_stack,
)
yield client

View File

@ -30,8 +30,8 @@ from typing import (
import msgspec
import numpy as np
import pyqtgraph as pg
from PyQt5.QtGui import QPainterPath
from piker.ui.qt import QPainterPath
from ..data._formatters import (
IncrementalFormatter,
)

View File

@ -43,29 +43,32 @@ from typing import (
Iterator,
)
import time
from pprint import pformat
# from pprint import pformat
from rapidfuzz import process as fuzzy
import trio
from trio_typing import TaskStatus
from piker.ui.qt import (
size_policy,
align_flag,
from PyQt5 import QtCore
from PyQt5 import QtWidgets
from PyQt5.QtCore import (
Qt,
QtCore,
QtWidgets,
QModelIndex,
QItemSelectionModel,
)
from PyQt5.QtGui import (
# QLayout,
QStandardItem,
QStandardItemModel,
)
from PyQt5.QtWidgets import (
QWidget,
QTreeView,
# QListWidgetItem,
# QAbstractScrollArea,
# QStyledItemDelegate,
)
from ..log import get_logger
from ._style import (
_font,
@ -126,8 +129,8 @@ class CompleterView(QTreeView):
# ux settings
self.setSizePolicy(
size_policy.Expanding,
size_policy.Expanding,
QtWidgets.QSizePolicy.Expanding,
QtWidgets.QSizePolicy.Expanding,
)
self.setItemsExpandable(True)
self.setExpandsOnDoubleClick(False)
@ -564,8 +567,8 @@ class SearchWidget(QtWidgets.QWidget):
# size it as we specify
self.setSizePolicy(
size_policy.Fixed,
size_policy.Fixed,
QtWidgets.QSizePolicy.Fixed,
QtWidgets.QSizePolicy.Fixed,
)
self.godwidget = godwidget
@ -589,16 +592,14 @@ class SearchWidget(QtWidgets.QWidget):
}}
"""
)
label.setTextFormat(
Qt.TextFormat.MarkdownText
)
label.setTextFormat(3) # markdown
label.setFont(_font.font)
label.setMargin(4)
label.setText("search:")
label.show()
label.setAlignment(
align_flag.AlignVCenter
| align_flag.AlignLeft
QtCore.Qt.AlignVCenter
| QtCore.Qt.AlignLeft
)
self.bar_hbox.addWidget(label)
@ -616,17 +617,9 @@ class SearchWidget(QtWidgets.QWidget):
self.vbox.addLayout(self.bar_hbox)
self.vbox.setAlignment(
self.bar,
align_flag.AlignTop
| align_flag.AlignRight,
)
self.vbox.setAlignment(self.bar, Qt.AlignTop | Qt.AlignRight)
self.vbox.addWidget(self.bar.view)
self.vbox.setAlignment(
self.view,
align_flag.AlignTop
| align_flag.AlignLeft,
)
self.vbox.setAlignment(self.view, Qt.AlignTop | Qt.AlignLeft)
def focus(self) -> None:
self.show()
@ -1146,25 +1139,21 @@ async def search_simple_dict(
) -> dict[str, Any]:
tokens: list[str] = []
tokens = []
for key in source:
match key:
case str():
tokens.append(key)
case []:
if not isinstance(key, str):
tokens.extend(key)
else:
tokens.append(key)
# search routine can be specified as a function such
# as in the case of the current app's local symbol cache
matches = fuzzy.extract(
matches = fuzzy.extractBests(
text,
tokens,
score_cutoff=90,
)
log.info(
'cache search results:\n'
f'{pformat(matches)}'
)
return [item[0] for item in matches]

View File

@ -22,14 +22,10 @@ from typing import Dict
import math
import pyqtgraph as pg
from PyQt5 import QtCore, QtGui
from PyQt5.QtCore import Qt, QCoreApplication
from qdarkstyle import DarkPalette
from .qt import (
QtCore,
QtGui,
Qt,
QCoreApplication,
)
from ..log import get_logger
from .. import config

View File

@ -27,14 +27,16 @@ from typing import (
)
import uuid
from piker.ui.qt import (
Qt,
QtCore,
from PyQt5 import QtCore
from PyQt5.QtWidgets import (
QWidget,
QMainWindow,
QApplication,
QLabel,
QStatusBar,
)
from PyQt5.QtGui import (
QScreen,
QCloseEvent,
)
@ -195,9 +197,7 @@ class MainWindow(QMainWindow):
"""
# font-size : {font_size}px;
)
label.setTextFormat(
Qt.TextFormat.MarkdownText
)
label.setTextFormat(3) # markdown
label.setFont(_font_small.font)
label.setMargin(2)
label.setAlignment(

View File

@ -96,17 +96,9 @@ def monitor(config, rate, name, dhost, test, tl):
@click.option('--rate', '-r', default=1, help='Logging level')
@click.argument('symbol', required=True)
@click.pass_obj
def optschain(
config,
symbol,
date,
rate,
test,
):
'''
Start an option chain UI
'''
def optschain(config, symbol, date, rate, test):
"""Start an option chain UI
"""
# global opts
loglevel = config['loglevel']
brokername = config['broker']
@ -140,23 +132,21 @@ def optschain(
default=None,
help='Enable pyqtgraph profiling'
)
# @click.option(
# '--pdb',
# is_flag=True,
# help='Enable tractor debug mode'
# )
@click.option(
'--pdb',
is_flag=True,
help='Enable tractor debug mode'
)
@click.argument('symbols', nargs=-1, required=True)
# @click.pass_context
@click.pass_obj
def chart(
config,
# ctx: click.Context,
symbols: list[str],
profile,
pdb: bool,
):
'''
Run chart UI app, spawning service daemons dynamically as
needed if not discovered via [network] config.
Start a real-time chartng UI
'''
# eg. ``--profile 3`` reports profiling for anything slower then 3 ms.
@ -183,42 +173,6 @@ def chart(
tractorloglevel = config['tractorloglevel']
pikerloglevel = config['loglevel']
maddrs: list[tuple[str, int]] = config.get(
'maddrs',
[],
)
# if maddrs:
# from tractor._multiaddr import parse_maddr
# for addr in maddrs:
# breakpoint()
# layers: dict = parse_maddr(addr)
regaddrs: list[tuple[str, int]] = config.get(
'registry_addrs',
[],
)
from ..config import load
conf, _ = load(
conf_name='conf',
)
network: dict = conf.get('network')
if network:
from ..cli import load_trans_eps
eps: dict = load_trans_eps(
network,
maddrs,
)
for layers in eps['pikerd']:
regaddrs.append((
layers['ipv4']['addr'],
layers['tcp']['port'],
))
from tractor.devx import maybe_open_crash_handler
pdb: bool = config['pdb']
with maybe_open_crash_handler(pdb=pdb):
_main(
syms=symbols,
brokermods=brokermods,
@ -227,11 +181,6 @@ def chart(
'debug_mode': pdb,
'loglevel': tractorloglevel,
'name': 'chart',
'registry_addrs': list(set(regaddrs)),
'enable_modules': [
# remote data-view annotations Bo
'piker.ui._remote_ctl',
],
'registry_addr': config.get('registry_addr'),
},
)

View File

@ -34,6 +34,7 @@ import uuid
from bidict import bidict
import tractor
import trio
from PyQt5.QtCore import Qt
from piker import config
from piker.accounting import (
@ -58,7 +59,6 @@ from piker.data import (
)
from piker.types import Struct
from piker.log import get_logger
from piker.ui.qt import Qt
from ._editors import LineEditor, ArrowEditor
from ._lines import order_line, LevelLine
from ._position import (
@ -358,7 +358,7 @@ class OrderMode:
send_msg: bool = True,
order: Order | None = None,
) -> Dialog|None:
) -> Dialog:
'''
Send execution order to EMS return a level line to
represent the order on a chart.
@ -378,16 +378,6 @@ class OrderMode:
'oid': oid,
})
if order.price <= 0:
log.error(
'*!? Invalid `Order.price <= 0` ?!*\n'
# TODO: make this present multi-line in object form
# like `ib_insync.contracts.Contract.__repr__()`
f'{order}\n'
)
self.cancel_orders([order.oid])
return None
lines = self.lines_from_order(
order,
show_markers=True,
@ -494,7 +484,7 @@ class OrderMode:
uuid: str,
order: Order | None = None,
) -> Dialog | None:
) -> Dialog:
'''
Order submitted status event handler.
@ -515,11 +505,6 @@ class OrderMode:
# if an order msg is provided update the line
# **from** that msg.
if order:
if order.price <= 0:
log.error(f'Order has 0 price, cancelling..\n{order}')
self.cancel_orders([order.oid])
return None
line.set_level(order.price)
self.on_level_change_update_next_order_info(
level=order.price,
@ -628,7 +613,7 @@ class OrderMode:
oids: set[str] = set()
for line in lines:
if dialog := getattr(line, 'dialog', None):
dialog: Dialog = getattr(line, 'dialog', None)
oid: str = dialog.uuid
if (
dialog
@ -678,7 +663,7 @@ class OrderMode:
self,
msg: Status,
) -> Dialog | None:
) -> Dialog:
# NOTE: the `.order` attr **must** be set with the
# equivalent order msg in order to be loaded.
order = msg.req
@ -709,15 +694,12 @@ class OrderMode:
fqsn=fqme,
info={},
)
maybe_dialog: Dialog | None = self.submit_order(
dialog = self.submit_order(
send_msg=False,
order=order,
)
if maybe_dialog is None:
return None
assert self.dialogs[oid] == maybe_dialog
return maybe_dialog
assert self.dialogs[oid] == dialog
return dialog
@asynccontextmanager
@ -948,8 +930,13 @@ async def open_order_mode(
msg,
)
# start async input handling for chart's view
async with (
# ``ChartView`` input async handler startup
chart.view.open_async_input_handler(),
hist_chart.view.open_async_input_handler(),
# pp pane kb inputs
open_form_input_handling(
form,
@ -1018,13 +1005,8 @@ async def process_trade_msg(
) -> tuple[Dialog, Status]:
# TODO: obvi once we're parsing to native struct instances we can
# drop the `pformat()` call Bo
fmtmsg: Struct | dict = msg
if not isinstance(msg, Struct):
fmtmsg: str = pformat(msg)
log.debug(f'Received order msg:\n{fmtmsg}')
fmsg = pformat(msg)
log.debug(f'Received order msg:\n{fmsg}')
name = msg['name']
if name in (
@ -1040,7 +1022,7 @@ async def process_trade_msg(
):
log.info(
f'Loading position for `{fqme}`:\n'
f'{fmtmsg}'
f'{fmsg}'
)
tracker = mode.trackers[msg['account']]
tracker.live_pp.update_from_msg(msg)
@ -1082,7 +1064,7 @@ async def process_trade_msg(
elif order.action != 'cancel':
log.warning(
f'received msg for untracked dialog:\n{fmtmsg}'
f'received msg for untracked dialog:\n{fmsg}'
)
assert msg.resp in ('open', 'dark_open'), f'Unknown msg: {msg}'
@ -1102,24 +1084,7 @@ async def process_trade_msg(
)
):
msg.req = order
dialog: (
Dialog
# NOTE: on an invalid order submission (eg.
# price <=0) the downstream APIs may return
# a null.
| None
) = mode.load_unknown_dialog_from_msg(msg)
# cancel any invalid pre-existing order!
if dialog is None:
log.warning(
'Order was ignored/invalid?\n'
f'{order}'
)
# if valid, display the order line the same as if
# it was submitted during this UI session.
else:
dialog = mode.load_unknown_dialog_from_msg(msg)
mode.on_submit(oid)
case Status(resp='error'):
@ -1149,7 +1114,7 @@ async def process_trade_msg(
req={'exec_mode': 'dark'},
):
# TODO: UX for a "pending" clear/live order
log.info(f'Dark order triggered for {fmtmsg}')
log.info(f'Dark order triggered for {fmsg}')
case Status(
resp='triggered',

View File

@ -1,104 +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/>.
'''
Qt UI framework version shimming.
Allow importing sub-pkgs from this module instead of worrying about
major version specifics, any enum moves or component renames.
Code in `piker.ui.*` should always explicitlyimport directly from
this module like `from piker.ui.qt import ( ..`
'''
from enum import EnumType
from PyQt6 import (
QtCore,
QtGui,
QtWidgets,
)
from PyQt6.QtCore import (
Qt,
QCoreApplication,
QLineF,
QRectF,
# NOTE: for enums use the `.Type` subattr-space
QEvent,
QPointF,
QSize,
QModelIndex,
QItemSelectionModel,
pyqtBoundSignal,
pyqtRemoveInputHook,
)
align_flag: EnumType = Qt.AlignmentFlag
txt_flag: EnumType = Qt.TextFlag
keys: EnumType = QEvent.Type
scrollbar_policy: EnumType = Qt.ScrollBarPolicy
# ^-NOTE-^: handy snippet to discover enums:
# import enum
# [attr for attr_name in dir(QFrame)
# if (attr := getattr(QFrame, attr_name))
# and isinstance(attr, enum.EnumType)]
from PyQt6.QtGui import (
QPainter,
QPainterPath,
QIcon,
QPixmap,
QColor,
QTransform,
QStandardItem,
QStandardItemModel,
QWheelEvent,
QScreen,
QCloseEvent,
)
from PyQt6.QtWidgets import (
QMainWindow,
QApplication,
QLabel,
QStatusBar,
QLineEdit,
QHBoxLayout,
QVBoxLayout,
QFormLayout,
QProgressBar,
QSizePolicy,
QStyledItemDelegate,
QStyleOptionViewItem,
QComboBox,
QWidget,
QFrame,
QSplitter,
QTreeView,
QStyle,
QGraphicsItem,
QGraphicsPathItem,
# QGraphicsView,
QStyleOptionGraphicsItem,
QGraphicsScene,
QGraphicsSceneMouseEvent,
QGraphicsProxyWidget,
)
gs_keys: EnumType = QGraphicsSceneMouseEvent.Type
size_policy: EnumType = QtWidgets.QSizePolicy.Policy
px_cache_mode: EnumType = QGraphicsItem.CacheMode

View File

@ -31,7 +31,7 @@ import pendulum
import pyqtgraph as pg
from piker.types import Struct
from ..tsp import slice_from_time
from ..data._timeseries import slice_from_time
from ..log import get_logger
from ..toolz import Profiler

View File

@ -15,119 +15,128 @@
# 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/>.
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[project]
# ------ - ------
[tool.poetry]
name = "piker"
version = "0.1.0a0dev0"
version = "0.1.0.alpha0.dev0"
description = "trading gear for hackers"
authors = [{ name = "Tyler Goodlet", email = "goodboy_foss@protonmail.com" }]
requires-python = ">=3.12, <3.13"
license = "AGPL-3.0-or-later"
authors = ["Tyler Goodlet <jgbt@protonmail.com>"]
license = "AGPLv3"
readme = "README.rst"
keywords = [
"async",
"trading",
"finance",
"quant",
"charting",
]
classifiers = [
"Development Status :: 3 - Alpha",
"License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Intended Audience :: Financial and Insurance Industry",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Intended Audience :: Education",
]
dependencies = [
"async-generator >=1.10, <2.0.0",
"attrs >=23.1.0, <24.0.0",
"bidict >=0.22.1, <0.23.0",
"colorama >=0.4.6, <0.5.0",
"colorlog >=6.7.0, <7.0.0",
"ib-insync >=0.9.86, <0.10.0",
"numba >=0.59.0, <0.60.0",
"numpy >=1.25, <2.0",
"polars >=0.18.13, <0.19.0",
"pygments >=2.16.1, <3.0.0",
"rich >=13.5.2, <14.0.0",
"tomli >=2.0.1, <3.0.0",
"tomli-w >=1.0.0, <2.0.0",
"trio-util >=0.7.0, <0.8.0",
"trio-websocket >=0.10.3, <0.11.0",
"typer >=0.9.0, <1.0.0",
"rapidfuzz >=3.5.2, <4.0.0",
"pdbp >=1.5.0, <2.0.0",
"trio >=0.24, <0.25",
"pendulum >=3.0.0, <4.0.0",
"httpx >=0.27.0, <0.28.0",
"cryptofeed >=2.4.0, <3.0.0",
"pyarrow >=17.0.0, <18.0.0",
"websockets ==12.0",
"msgspec",
"tractor",
"asyncvnc",
"tomlkit",
]
[project.optional-dependencies]
uis = [
# https://docs.astral.sh/uv/concepts/projects/dependencies/#optional-dependencies
# TODO: make sure the levenshtein shit compiles on nix..
# rapidfuzz = {extras = ["speedup"], version = "^0.18.0"}
"rapidfuzz >=3.2.0, <4.0.0",
"qdarkstyle >=3.0.2, <4.0.0",
"pyqt6 >=6.7.0, <7.0.0",
"pyqtgraph",
# TODO: add meta-data from setup.py
# keywords=[
# "async",
# "trading",
# "finance",
# "quant",
# "charting",
# ],
# classifiers=[
# 'Development Status :: 3 - Alpha',
# 'License :: OSI Approved :: ',
# 'Operating System :: POSIX :: Linux',
# "Programming Language :: Python :: Implementation :: CPython",
# "Programming Language :: Python :: 3 :: Only",
# "Programming Language :: Python :: 3.10",
# "Programming Language :: Python :: 3.11",
# 'Intended Audience :: Financial and Insurance Industry',
# 'Intended Audience :: Science/Research',
# 'Intended Audience :: Developers',
# 'Intended Audience :: Education',
# ],
# for consideration,
# - 'visidata'
# ------ - ------
# TODO: add an `--only daemon` group for running non-ui / pikerd
# service tree in distributed mode B)
# https://docs.astral.sh/uv/concepts/projects/dependencies/#optional-dependencies
]
[tool.poetry.dependencies]
asks = "^3.0.0"
async-generator = "^1.10"
attrs = "^23.1.0"
bidict = "^0.22.1"
colorama = "^0.4.6"
colorlog = "^6.7.0"
cython = "^3.0.0"
greenback = "^1.1.1"
ib-insync = "^0.9.86"
msgspec = "^0.18.0"
numba = "^0.57.1"
numpy = "1.24"
pendulum = "^2.1.2"
polars = "^0.18.13"
pygments = "^2.16.1"
python = "^3.10"
rich = "^13.5.2"
# setuptools = "^68.0.0"
tomli = "^2.0.1"
tomli-w = "^1.0.0"
trio = "^0.22.2"
trio-util = "^0.7.0"
trio-websocket = "^0.10.3"
typer = "^0.9.0"
[dependency-groups]
# TODO: a toolset that makes debugging a `pikerd` service (tree) easy
# to hack on directly using more or less the local env:
[tool.poetry.dependencies.asyncvnc]
git = 'https://github.com/pikers/asyncvnc.git'
branch = 'main'
[tool.poetry.dependencies.tomlkit]
git = 'https://github.com/pikers/tomlkit.git'
branch = 'piker_pin'
develop = true
# path = "../tomlkit/"
[tool.poetry.dependencies.tractor]
git = 'https://github.com/goodboy/tractor.git'
branch = 'asyncio_debugger_support'
# branch = 'piker_pin'
develop = true
# path = '../tractor/'
# ------ - ------
[tool.poetry.group.uis]
optional = true
[tool.poetry.group.uis.dependencies]
# https://python-poetry.org/docs/managing-dependencies/#dependency-groups
# TODO: make sure the levenshtein shit compiles on nix..
# rapidfuzz = {extras = ["speedup"], version = "^0.18.0"}
rapidfuzz = "^3.2.0"
qdarkstyle = ">=3.0.2"
pyqt5 = "^5.15.9"
pyqtgraph = { git = 'https://github.com/pikers/pyqtgraph.git' }
pyqt6 = "^6.5.2"
# ------ - ------
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.dev.dependencies]
# testing / CI
pytest = "^6.0.0"
elasticsearch = "^8.9.0"
# console ehancements and eventually remote debugging
# extras/helpers.
# TODO: add a toolset that makes debugging a `pikerd` service
# (tree) easy to hack on directly using more or less the local env:
# - xonsh + xxh
# - rsyscall + pdbp
# - actor runtime control console like BEAM/OTP
#
# console ehancements and eventually remote debugging extras/helpers.
# use `uv --dev` to enable
dev = [
"pytest >=6.0.0, <7.0.0",
"elasticsearch >=8.9.0, <9.0.0",
"xonsh >=0.14.2, <0.15.0",
"prompt-toolkit ==3.0.40",
"cython >=3.0.0, <4.0.0",
"greenback >=1.1.1, <2.0.0",
"ruff>=0.9.6",
]
xonsh = "^0.14.0" # XXX: explicit env install for shell use w nix
prompt-toolkit = "^3.0.39"
[project.scripts]
piker = "piker.cli:cli"
pikerd = "piker.cli:pikerd"
ledger = "piker.accounting.cli:ledger"
# ------ - ------
[tool.hatch.build.targets.sdist]
include = ["piker"]
# TODO: add an `--only daemon` group for running non-ui / pikerd
# service tree in distributed mode B)
# https://python-poetry.org/docs/managing-dependencies/#installing-group-dependencies
# [tool.poetry.group.daemon.dependencies]
[tool.hatch.build.targets.wheel]
include = ["piker"]
[tool.uv.sources]
pyqtgraph = { git = "https://github.com/pikers/pyqtgraph.git" }
asyncvnc = { git = "https://github.com/pikers/asyncvnc.git", branch = "main" }
tomlkit = { git = "https://github.com/pikers/tomlkit.git", branch ="piker_pin" }
msgspec = { git = "https://github.com/jcrist/msgspec.git" }
tractor = { path = "../tractor", editable = true }
[tool.poetry.scripts]
piker = 'piker.cli:cli'
pikerd = 'piker.cli:pikerd'
ledger = 'piker.accounting.cli:ledger'

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@ -1,93 +0,0 @@
# from default `ruff.toml` @
# https://docs.astral.sh/ruff/configuration/
# Exclude a variety of commonly ignored directories.
exclude = [
".bzr",
".direnv",
".eggs",
".git",
".git-rewrite",
".hg",
".ipynb_checkpoints",
".mypy_cache",
".nox",
".pants.d",
".pyenv",
".pytest_cache",
".pytype",
".ruff_cache",
".svn",
".tox",
".venv",
".vscode",
"__pypackages__",
"_build",
"buck-out",
"build",
"dist",
"node_modules",
"site-packages",
"venv",
]
# Same as Black.
line-length = 88
indent-width = 4
# Assume Python 3.9
target-version = "py312"
# ------ - ------
# TODO, stop warnings around `anext()` builtin use?
# tool.ruff.target-version = "py310"
[lint]
# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default.
# Unlike Flake8, Ruff doesn't enable pycodestyle warnings (`W`) or
# McCabe complexity (`C901`) by default.
select = ["E4", "E7", "E9", "F"]
ignore = []
ignore-init-module-imports = false
[lint.per-file-ignores]
"piker/ui/qt.py" = [
"E402",
'F401', # unused imports (without __all__ or blah as blah)
# "F841", # unused variable rules
]
# Allow fix for all enabled rules (when `--fix`) is provided.
fixable = ["ALL"]
unfixable = []
# Allow unused variables when underscore-prefixed.
dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
[format]
# Use single quotes in `ruff format`.
quote-style = "single"
# Like Black, indent with spaces, rather than tabs.
indent-style = "space"
# Like Black, respect magic trailing commas.
skip-magic-trailing-comma = false
# Like Black, automatically detect the appropriate line ending.
line-ending = "auto"
# Enable auto-formatting of code examples in docstrings. Markdown,
# reStructuredText code/literal blocks and doctests are all supported.
#
# This is currently disabled by default, but it is planned for this
# to be opt-out in the future.
docstring-code-format = false
# Set the line length limit used when formatting code snippets in
# docstrings.
#
# This only has an effect when the `docstring-code-format` setting is
# enabled.
docstring-code-line-length = "dynamic"

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