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@ -1,161 +1,162 @@
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
'';
}

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@ -567,7 +567,6 @@ class Client:
) -> str:
return {
'USDTM': 'usdtm_futes',
'SPOT': 'spot',
# 'COINM': 'coin_futes',
# ^-TODO-^ bc someone might want it..?
}[pair.venue]

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@ -42,6 +42,7 @@ from trio_typing import TaskStatus
from pendulum import (
from_timestamp,
)
from rapidfuzz import process as fuzzy
import numpy as np
import tractor
@ -110,7 +111,6 @@ class AggTrade(Struct, frozen=True):
async def stream_messages(
ws: NoBsWs,
) -> AsyncGenerator[NoBsWs, dict]:
# TODO: match syntax here!
@ -221,8 +221,6 @@ 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,
@ -465,8 +463,6 @@ 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 +511,7 @@ 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 +547,7 @@ 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

@ -181,6 +181,7 @@ 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'],

View File

@ -62,7 +62,7 @@ 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 +98,9 @@ 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 +110,7 @@ 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):
@ -404,13 +392,7 @@ class Client:
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
@ -611,7 +593,7 @@ async def get_client() -> AsyncGenerator[Client, None]:
'''
async with (
httpx.AsyncClient(
base_url='https://api.kucoin.com/api',
base_url=f'https://api.kucoin.com/api',
) as trio_client,
):
client = Client(httpx_client=trio_client)
@ -655,7 +637,7 @@ 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 +649,9 @@ 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 +726,6 @@ 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 +733,7 @@ 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 +747,20 @@ 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 +815,7 @@ async def subscribe(
)
async def iter_normed_quotes(
async def stream_messages(
ws: NoBsWs,
sym: str,
@ -892,9 +846,6 @@ 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 +938,7 @@ 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

@ -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"

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

@ -386,8 +386,6 @@ def ldshm(
open_annot_ctl() as actl,
):
shm_df: pl.DataFrame | None = None
tf2aids: dict[float, dict] = {}
for (
shmfile,
shm,
@ -528,17 +526,16 @@ def ldshm(
new_df,
step_gaps,
)
# last chance manual overwrites in REPL
# await tractor.pause()
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!')
# assert not diff
if shm_df is None:
log.error(

View File

@ -161,13 +161,7 @@ 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')

View File

@ -44,10 +44,8 @@ import trio
from trio_typing import TaskStatus
import tractor
from pendulum import (
Interval,
DateTime,
Duration,
duration as mk_duration,
from_timestamp,
)
import numpy as np
@ -216,8 +214,7 @@ async def maybe_fill_null_segments(
# pair, immediately stop backfilling?
if (
start_dt
and
end_dt < start_dt
and end_dt < start_dt
):
await tractor.pause()
break
@ -265,7 +262,6 @@ async def maybe_fill_null_segments(
except tractor.ContextCancelled:
# log.exception
await tractor.pause()
raise
null_segs_detected.set()
# RECHECK for more null-gaps
@ -353,7 +349,7 @@ async def maybe_fill_null_segments(
async def start_backfill(
get_hist,
def_frame_duration: Duration,
frame_types: dict[str, Duration] | None,
mod: ModuleType,
mkt: MktPair,
shm: ShmArray,
@ -383,23 +379,22 @@ async def start_backfill(
update_start_on_prepend: bool = False
if backfill_until_dt is None:
# TODO: per-provider default history-durations?
# -[ ] inside the `open_history_client()` config allow
# declaring the history duration limits instead of
# guessing and/or applying the same limits to all?
#
# -[ ] allow declaring (default) per-provider backfill
# limits inside a [storage] sub-section in conf.toml?
#
# NOTE, when no tsdb "last datum" is provided, we just
# load some near-term history by presuming a "decently
# large" 60s duration limit and a much shorter 1s range.
# TODO: drop this right and just expose the backfill
# limits inside a [storage] section in conf.toml?
# when no tsdb "last datum" is provided, we just load
# some near-term history.
# periods = {
# 1: {'days': 1},
# 60: {'days': 14},
# }
# do a decently sized backfill and load it into storage.
periods = {
1: {'days': 2},
60: {'years': 6},
}
period_duration: int = periods[timeframe]
update_start_on_prepend: bool = True
update_start_on_prepend = True
# NOTE: manually set the "latest" datetime which we intend to
# backfill history "until" so as to adhere to the history
@ -421,6 +416,7 @@ async def start_backfill(
f'backfill_until_dt: {backfill_until_dt}\n'
f'last_start_dt: {last_start_dt}\n'
)
try:
(
array,
@ -430,114 +426,71 @@ async def start_backfill(
timeframe,
end_dt=last_start_dt,
)
except NoData as _daterr:
orig_last_start_dt: datetime = last_start_dt
gap_report: str = (
f'EMPTY FRAME for `end_dt: {last_start_dt}`?\n'
f'{mod.name} -> tf@fqme: {timeframe}@{mkt.fqme}\n'
f'last_start_dt: {orig_last_start_dt}\n\n'
f'bf_until: {backfill_until_dt}\n'
# 3 cases:
# - frame in the middle of a legit venue gap
# - history actually began at the `last_start_dt`
# - some other unknown error (ib blocking the
# history bc they don't want you seeing how they
# cucked all the tinas..)
if dur := frame_types.get(timeframe):
# decrement by a frame's worth of duration and
# retry a few times.
last_start_dt.subtract(
seconds=dur.total_seconds()
)
# EMPTY FRAME signal with 3 (likely) causes:
#
# 1. range contains legit gap in venue history
# 2. history actually (edge case) **began** at the
# value `last_start_dt`
# 3. some other unknown error (ib blocking the
# history-query bc they don't want you seeing how
# they cucked all the tinas.. like with options
# hist)
#
if def_frame_duration:
# decrement by a duration's (frame) worth of time
# as maybe indicated by the backend to see if we
# can get older data before this possible
# "history gap".
last_start_dt: datetime = last_start_dt.subtract(
seconds=def_frame_duration.total_seconds()
log.warning(
f'{mod.name} -> EMPTY FRAME for end_dt?\n'
f'tf@fqme: {timeframe}@{mkt.fqme}\n'
'bf_until <- last_start_dt:\n'
f'{backfill_until_dt} <- {last_start_dt}\n'
f'Decrementing `end_dt` by {dur} and retry..\n'
)
gap_report += (
f'Decrementing `end_dt` and retrying with,\n'
f'def_frame_duration: {def_frame_duration}\n'
f'(new) last_start_dt: {last_start_dt}\n'
)
log.warning(gap_report)
# skip writing to shm/tsdb and try the next
# duration's worth of prior history.
continue
else:
# await tractor.pause()
raise DataUnavailable(gap_report)
# broker says there never was or is no more history to pull
except DataUnavailable as due:
message: str = due.args[0]
except DataUnavailable:
log.warning(
f'Provider {mod.name!r} halted backfill due to,\n\n'
f'{message}\n'
f'fqme: {mkt.fqme}\n'
f'timeframe: {timeframe}\n'
f'last_start_dt: {last_start_dt}\n'
f'bf_until: {backfill_until_dt}\n'
f'NO-MORE-DATA in range?\n'
f'`{mod.name}` halted history:\n'
f'tf@fqme: {timeframe}@{mkt.fqme}\n'
'bf_until <- last_start_dt:\n'
f'{backfill_until_dt} <- {last_start_dt}\n'
)
# UGH: what's a better way?
# TODO: backends are responsible for being correct on
# this right!?
# -[ ] in the `ib` case we could maybe offer some way
# to halt the request loop until the condition is
# resolved or should the backend be entirely in
# charge of solving such faults? yes, right?
# ugh, what's a better way?
# TODO: fwiw, we probably want a way to signal a throttle
# condition (eg. with ib) so that we can halt the
# request loop until the condition is resolved?
if timeframe > 1:
await tractor.pause()
return
time: np.ndarray = array['time']
assert (
time[0]
array['time'][0]
==
next_start_dt.timestamp()
)
assert time[-1] == next_end_dt.timestamp()
expected_dur: Interval = last_start_dt - next_start_dt
diff = last_start_dt - next_start_dt
frame_time_diff_s = diff.seconds
# frame's worth of sample-period-steps, in seconds
frame_size_s: float = len(array) * timeframe
recv_frame_dur: Duration = (
from_timestamp(array[-1]['time'])
-
from_timestamp(array[0]['time'])
)
if (
(lt_frame := (recv_frame_dur < expected_dur))
or
(null_frame := (frame_size_s == 0))
# ^XXX, should NEVER hit now!
):
expected_frame_size_s: float = frame_size_s + timeframe
if frame_time_diff_s > expected_frame_size_s:
# XXX: query result includes a start point prior to our
# expected "frame size" and thus is likely some kind of
# history gap (eg. market closed period, outage, etc.)
# so just report it to console for now.
if lt_frame:
reason = 'Possible GAP (or first-datum)'
else:
assert null_frame
reason = 'NULL-FRAME'
missing_dur: Interval = expected_dur.end - recv_frame_dur.end
log.warning(
f'{timeframe}s-series {reason} detected!\n'
f'fqme: {mkt.fqme}\n'
f'last_start_dt: {last_start_dt}\n\n'
f'recv interval: {recv_frame_dur}\n'
f'expected interval: {expected_dur}\n\n'
f'Missing duration of history of {missing_dur.in_words()!r}\n'
f'{missing_dur}\n'
'GAP DETECTED:\n'
f'last_start_dt: {last_start_dt}\n'
f'diff: {diff}\n'
f'frame_time_diff_s: {frame_time_diff_s}\n'
)
# await tractor.pause()
to_push = diff_history(
array,
@ -612,27 +565,22 @@ async def start_backfill(
# long-term storage.
if (
storage is not None
and
write_tsdb
and write_tsdb
):
log.info(
f'Writing {ln} frame to storage:\n'
f'{next_start_dt} -> {last_start_dt}'
)
# NOTE, always drop the src asset token for
# always drop the src asset token for
# non-currency-pair like market types (for now)
#
# THAT IS, for now our table key schema is NOT
# including the dst[/src] source asset token. SO,
# 'tsla.nasdaq.ib' over 'tsla/usd.nasdaq.ib' for
# historical reasons ONLY.
if mkt.dst.atype not in {
'crypto',
'crypto_currency',
'fiat', # a "forex pair"
'perpetual_future', # stupid "perps" from cex land
}:
# for now, our table key schema is not including
# the dst[/src] source asset token.
col_sym_key: str = mkt.get_fqme(
delim_char='',
without_src=True,
@ -737,7 +685,7 @@ async def back_load_from_tsdb(
last_tsdb_dt
and latest_start_dt
):
backfilled_size_s: Duration = (
backfilled_size_s = (
latest_start_dt - last_tsdb_dt
).seconds
# if the shm buffer len is not large enough to contain
@ -960,8 +908,6 @@ async def tsdb_backfill(
f'{pformat(config)}\n'
)
# concurrently load the provider's most-recent-frame AND any
# pre-existing tsdb history already saved in `piker` storage.
dt_eps: list[DateTime, DateTime] = []
async with trio.open_nursery() as tn:
tn.start_soon(
@ -972,6 +918,7 @@ async def tsdb_backfill(
timeframe,
config,
)
tsdb_entry: tuple = await load_tsdb_hist(
storage,
mkt,
@ -1000,25 +947,6 @@ async def tsdb_backfill(
mr_end_dt,
) = dt_eps
first_frame_dur_s: Duration = (mr_end_dt - mr_start_dt).seconds
calced_frame_size: Duration = mk_duration(
seconds=first_frame_dur_s,
)
# NOTE, attempt to use the backend declared default frame
# sizing (as allowed by their time-series query APIs) and
# if not provided try to construct a default from the
# first frame received above.
def_frame_durs: dict[
int,
Duration,
]|None = config.get('frame_types', None)
if def_frame_durs:
def_frame_size: Duration = def_frame_durs[timeframe]
assert def_frame_size == calced_frame_size
else:
# use what we calced from first frame above.
def_frame_size = calced_frame_size
# NOTE: when there's no offline data, there's 2 cases:
# - data backend doesn't support timeframe/sample
# period (in which case `dt_eps` should be `None` and
@ -1049,7 +977,7 @@ async def tsdb_backfill(
partial(
start_backfill,
get_hist=get_hist,
def_frame_duration=def_frame_size,
frame_types=config.get('frame_types', None),
mod=mod,
mkt=mkt,
shm=shm,

View File

@ -616,18 +616,6 @@ def detect_price_gaps(
# ])
...
# 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,
@ -638,6 +626,7 @@ def dedupe(
) -> tuple[
pl.DataFrame, # with dts
pl.DataFrame, # gaps
pl.DataFrame, # with deduplicated dts (aka gap/repeat removal)
int, # len diff between input and deduped
]:
@ -650,22 +639,19 @@ def dedupe(
'''
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')
wdts = wdts.sort(by='time')
# TODO: detect out-of-order segments which were corrected!
# -[ ] report in log msg
# -[ ] possibly return segment sections which were moved?
# remove duplicated datetime samples/sections
deduped: pl.DataFrame = wdts.unique(
subset=['dt'],
maintain_order=True,
)
diff: int = (
wdts.height
-

View File

@ -15,17 +15,123 @@
# 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"
# ------ - ------
[tool.ruff.lint]
# https://docs.astral.sh/ruff/settings/#lint_ignore
ignore = []
# https://docs.astral.sh/ruff/settings/#lint_per-file-ignores
"piker/ui/qt.py" = [
"E402",
'F401', # unused imports (without __all__ or blah as blah)
# "F841", # unused variable rules
]
# ignore-init-module-imports = false
# ------ - ------
[tool.poetry]
name = "piker"
version = "0.1.0.alpha0.dev0"
description = "trading gear for hackers"
authors = ["Tyler Goodlet <goodboy_foss@protonmail.com>"]
license = "AGPLv3"
readme = "README.rst"
# ------ - ------
[tool.poetry.dependencies]
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 = "^0.59.0"
numpy = "^1.25"
polars = "^0.18.13"
pygments = "^2.16.1"
python = ">=3.11, <3.13"
rich = "^13.5.2"
# setuptools = "^68.0.0"
tomli = "^2.0.1"
tomli-w = "^1.0.0"
trio-util = "^0.7.0"
trio-websocket = "^0.10.3"
typer = "^0.9.0"
rapidfuzz = "^3.5.2"
pdbp = "^1.5.0"
trio = "^0.24"
pendulum = "^3.0.0"
httpx = "^0.27.0"
[tool.poetry.dependencies.tractor]
develop = true
git = 'https://github.com/goodboy/tractor.git'
branch = 'asyncio_debugger_support'
# path = "../tractor"
[tool.poetry.dependencies.asyncvnc]
git = 'https://github.com/pikers/asyncvnc.git'
branch = 'main'
[tool.poetry.dependencies.tomlkit]
develop = true
git = 'https://github.com/pikers/tomlkit.git'
branch = 'piker_pin'
# path = "../tomlkit/"
[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"
pyqtgraph = { git = 'https://github.com/pikers/pyqtgraph.git' }
# ------ - ------
pyqt6 = "^6.7.0"
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.dev.dependencies]
# testing / CI
pytest = "^6.0.0"
elasticsearch = "^8.9.0"
xonsh = "^0.14.2"
prompt-toolkit = "3.0.40"
# 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
# ------ - ------
# 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.poetry.scripts]
piker = 'piker.cli:cli'
pikerd = 'piker.cli:pikerd'
ledger = 'piker.accounting.cli:ledger'
[project]
name = "piker"
version = "0.1.0a0dev0"
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"
readme = "README.rst"
keywords=[
"async",
"trading",
@ -34,100 +140,15 @@ keywords = [
"charting",
]
classifiers=[
"Development Status :: 3 - Alpha",
'Development Status :: 3 - Alpha',
"License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
"Operating System :: POSIX :: Linux",
'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",
'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",
# 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
]
[dependency-groups]
# TODO: 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",
]
[project.scripts]
piker = "piker.cli:cli"
pikerd = "piker.cli:pikerd"
ledger = "piker.accounting.cli:ledger"
[tool.hatch.build.targets.sdist]
include = ["piker"]
[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 }

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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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