Move all fqsn parsing and `Symbol` to new `accounting._mktinfo
parent
7904c27127
commit
9f03484c4d
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@ -33,9 +33,9 @@ import tomli
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import toml
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from .. import config
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from ..data._source import Symbol
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from ..data.types import Struct
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from ..log import get_logger
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from ._mktinfo import Symbol
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log = get_logger(__name__)
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@ -0,0 +1,302 @@
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# piker: trading gear for hackers
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# Copyright (C) Tyler Goodlet (in stewardship for pikers)
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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'''
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Market (pair) meta-info layer: sane addressing semantics and meta-data
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for cross-provider marketplaces.
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We intoduce the concept of,
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- a FQMA: fully qualified market address,
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- a sane schema for FQMAs including derivatives,
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- a msg-serializeable description of markets for
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easy sharing with other pikers B)
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'''
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from __future__ import annotations
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from decimal import (
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Decimal,
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ROUND_HALF_EVEN,
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)
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from typing import (
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Any,
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)
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from ..data.types import Struct
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class MktPair(Struct, frozen=True):
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src: str # source asset name being used to buy
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src_type: str # source asset's financial type/classification name
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# ^ specifies a "class" of financial instrument
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# egs. stock, futer, option, bond etc.
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dst: str # destination asset name being bought
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dst_type: str # destination asset's financial type/classification name
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price_tick: float # minimum price increment value increment
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price_tick_digits: int # required decimal digits for above
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size_tick: float # minimum size (aka vlm) increment value increment
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# size_tick_digits: int # required decimal digits for above
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@property
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def size_tick_digits(self) -> int:
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return self.size_tick
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venue: str | None = None # market venue provider name
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expiry: str | None = None # for derivs, expiry datetime parseable str
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# for derivs, info describing contract, egs.
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# strike price, call or put, swap type, exercise model, etc.
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contract_info: str | None = None
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@classmethod
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def from_msg(
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self,
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msg: dict[str, Any],
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) -> MktPair:
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'''
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Constructor for a received msg-dict normally received over IPC.
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'''
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...
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# fqa, fqma, .. etc. see issue:
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# https://github.com/pikers/piker/issues/467
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@property
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def fqsn(self) -> str:
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'''
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Return the fully qualified market (endpoint) name for the
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pair of transacting assets.
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'''
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...
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def mk_fqsn(
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provider: str,
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symbol: str,
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) -> str:
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'''
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Generate a "fully qualified symbol name" which is
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a reverse-hierarchical cross broker/provider symbol
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'''
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return '.'.join([symbol, provider]).lower()
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def float_digits(
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value: float,
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) -> int:
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'''
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Return the number of precision digits read from a float value.
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'''
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if value == 0:
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return 0
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return int(-Decimal(str(value)).as_tuple().exponent)
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def digits_to_dec(
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ndigits: int,
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) -> Decimal:
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'''
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Return the minimum float value for an input integer value.
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eg. 3 -> 0.001
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'''
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if ndigits == 0:
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return Decimal('0')
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return Decimal('0.' + '0'*(ndigits-1) + '1')
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def unpack_fqsn(fqsn: str) -> tuple[str, str, str]:
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'''
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Unpack a fully-qualified-symbol-name to ``tuple``.
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'''
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venue = ''
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suffix = ''
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# TODO: probably reverse the order of all this XD
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tokens = fqsn.split('.')
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if len(tokens) < 3:
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# probably crypto
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symbol, broker = tokens
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return (
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broker,
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symbol,
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'',
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)
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elif len(tokens) > 3:
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symbol, venue, suffix, broker = tokens
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else:
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symbol, venue, broker = tokens
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suffix = ''
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# head, _, broker = fqsn.rpartition('.')
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# symbol, _, suffix = head.rpartition('.')
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return (
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broker,
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'.'.join([symbol, venue]),
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suffix,
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)
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# TODO: rework the below `Symbol` (which was originally inspired and
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# derived from stuff in quantdom) into a simpler, ipc msg ready, market
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# endpoint meta-data container type as per the drafted interace above.
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class Symbol(Struct):
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'''
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I guess this is some kinda container thing for dealing with
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all the different meta-data formats from brokers?
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'''
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key: str
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tick_size: float = 0.01
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lot_tick_size: float = 0.0 # "volume" precision as min step value
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tick_size_digits: int = 2
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lot_size_digits: int = 0
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suffix: str = ''
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broker_info: dict[str, dict[str, Any]] = {}
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@classmethod
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def from_broker_info(
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cls,
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broker: str,
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symbol: str,
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info: dict[str, Any],
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suffix: str = '',
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) -> Symbol:
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tick_size = info.get('price_tick_size', 0.01)
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lot_size = info.get('lot_tick_size', 0.0)
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return Symbol(
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key=symbol,
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tick_size=tick_size,
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lot_tick_size=lot_size,
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tick_size_digits=float_digits(tick_size),
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lot_size_digits=float_digits(lot_size),
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suffix=suffix,
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broker_info={broker: info},
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)
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@classmethod
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def from_fqsn(
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cls,
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fqsn: str,
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info: dict[str, Any],
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) -> Symbol:
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broker, key, suffix = unpack_fqsn(fqsn)
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return cls.from_broker_info(
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broker,
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key,
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info=info,
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suffix=suffix,
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)
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@property
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def type_key(self) -> str:
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return list(self.broker_info.values())[0]['asset_type']
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@property
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def brokers(self) -> list[str]:
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return list(self.broker_info.keys())
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def nearest_tick(self, value: float) -> float:
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'''
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Return the nearest tick value based on mininum increment.
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'''
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mult = 1 / self.tick_size
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return round(value * mult) / mult
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def front_feed(self) -> tuple[str, str]:
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'''
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Return the "current" feed key for this symbol.
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(i.e. the broker + symbol key in a tuple).
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'''
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return (
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list(self.broker_info.keys())[0],
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self.key,
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)
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def tokens(self) -> tuple[str]:
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broker, key = self.front_feed()
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if self.suffix:
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return (key, self.suffix, broker)
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else:
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return (key, broker)
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@property
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def fqsn(self) -> str:
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return '.'.join(self.tokens()).lower()
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def front_fqsn(self) -> str:
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'''
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fqsn = "fully qualified symbol name"
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Basically the idea here is for all client-ish code (aka programs/actors
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that ask the provider agnostic layers in the stack for data) should be
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able to tell which backend / venue / derivative each data feed/flow is
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from by an explicit string key of the current form:
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<instrumentname>.<venue>.<suffixwithmetadata>.<brokerbackendname>
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TODO: I have thoughts that we should actually change this to be
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more like an "attr lookup" (like how the web should have done
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urls, but marketting peeps ruined it etc. etc.):
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<broker>.<venue>.<instrumentname>.<suffixwithmetadata>
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'''
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tokens = self.tokens()
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fqsn = '.'.join(map(str.lower, tokens))
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return fqsn
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def quantize_size(
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self,
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size: float,
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) -> Decimal:
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'''
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Truncate input ``size: float`` using ``Decimal``
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and ``.lot_size_digits``.
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'''
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digits = self.lot_size_digits
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return Decimal(size).quantize(
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Decimal(f'1.{"0".ljust(digits, "0")}'),
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rounding=ROUND_HALF_EVEN
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)
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@ -43,10 +43,13 @@ from ._ledger import (
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iter_by_dt,
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open_trade_ledger,
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)
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from ._mktinfo import (
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Symbol,
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unpack_fqsn,
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)
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from .. import config
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from ..brokers import get_brokermod
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from ..clearing._messages import BrokerdPosition, Status
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from ..data._source import Symbol, unpack_fqsn
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from ..data.types import Struct
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from ..log import get_logger
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@ -154,6 +157,7 @@ class Position(Struct):
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inline_table['tid'] = tid
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toml_clears_list.append(inline_table)
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d['clears'] = toml_clears_list
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return fqsn, d
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@ -644,7 +644,7 @@ class Client:
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# fqsn parsing stage
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# ------------------
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if '.ib' in pattern:
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from ..data._source import unpack_fqsn
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from ..accounting._mktinfo import unpack_fqsn
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_, symbol, expiry = unpack_fqsn(pattern)
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else:
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@ -70,7 +70,7 @@ from piker.clearing._messages import (
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BrokerdFill,
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BrokerdError,
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)
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from piker.data._source import (
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from piker.accounting._mktinfo import (
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Symbol,
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float_digits,
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)
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@ -42,7 +42,7 @@ import trio
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from piker import config
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from piker.data.types import Struct
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from piker.data._source import Symbol
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from piker.accounting._mktinfo import Symbol
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from piker.brokers._util import (
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resproc,
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SymbolNotFound,
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@ -48,7 +48,7 @@ from piker.accounting import (
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open_pps,
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get_likely_pair,
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)
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from piker.data._source import (
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from piker.accounting._mktinfo import (
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Symbol,
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digits_to_dec,
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)
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@ -23,7 +23,7 @@ from typing import Optional
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from bidict import bidict
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from ..data._source import Symbol
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from ..accounting._mktinfo import Symbol
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from ..data.types import Struct
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from ..accounting import Position
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@ -27,6 +27,7 @@ import trio
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import tractor
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from tractor.trionics import broadcast_receiver
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from ..accounting._mktinfo import unpack_fqsn
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from ..log import get_logger
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from ..data.types import Struct
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from ..service import maybe_open_emsd
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@ -228,7 +229,6 @@ async def open_ems(
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# ready for order commands
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book = get_orders()
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from ..data._source import unpack_fqsn
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broker, symbol, suffix = unpack_fqsn(fqsn)
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async with maybe_open_emsd(broker) as portal:
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@ -43,7 +43,7 @@ import tractor
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from ..log import get_logger
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from ..data._normalize import iterticks
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from ..data._source import (
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from ..accounting._mktinfo import (
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unpack_fqsn,
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mk_fqsn,
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float_digits,
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@ -521,7 +521,6 @@ class Router(Struct):
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none already exists.
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'''
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from ..data._source import unpack_fqsn
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broker, symbol, suffix = unpack_fqsn(fqsn)
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async with (
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@ -29,7 +29,7 @@ from typing import (
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from msgspec import field
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from ..data._source import Symbol
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from ..accounting._mktinfo import Symbol
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from ..data.types import Struct
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@ -38,7 +38,7 @@ import tractor
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from .. import data
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from ..data.types import Struct
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from ..data._source import Symbol
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from ..accounting._mktinfo import Symbol
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from ..accounting import (
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Position,
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Transaction,
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@ -28,8 +28,12 @@ from bidict import bidict
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import numpy as np
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from .types import Struct
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# from numba import from_dtype
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from ..accounting._mktinfo import (
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# mkfqsn,
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unpack_fqsn,
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# digits_to_dec,
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float_digits,
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)
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ohlc_fields = [
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('time', float),
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@ -50,6 +54,7 @@ base_ohlc_dtype = np.dtype(ohlc_fields)
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# TODO: for now need to construct this manually for readonly arrays, see
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# https://github.com/numba/numba/issues/4511
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# from numba import from_dtype
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# numba_ohlc_dtype = from_dtype(base_ohlc_dtype)
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# map time frame "keys" to seconds values
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@ -64,47 +69,6 @@ tf_in_1s = bidict({
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})
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def mk_fqsn(
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provider: str,
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symbol: str,
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) -> str:
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'''
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Generate a "fully qualified symbol name" which is
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a reverse-hierarchical cross broker/provider symbol
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|
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'''
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return '.'.join([symbol, provider]).lower()
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def float_digits(
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value: float,
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) -> int:
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'''
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Return the number of precision digits read from a float value.
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'''
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if value == 0:
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return 0
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return int(-Decimal(str(value)).as_tuple().exponent)
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def digits_to_dec(
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ndigits: int,
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) -> Decimal:
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'''
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Return the minimum float value for an input integer value.
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eg. 3 -> 0.001
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'''
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if ndigits == 0:
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return Decimal('0')
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return Decimal('0.' + '0'*(ndigits-1) + '1')
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def ohlc_zeros(length: int) -> np.ndarray:
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"""Construct an OHLC field formatted structarray.
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@ -115,223 +79,6 @@ def ohlc_zeros(length: int) -> np.ndarray:
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return np.zeros(length, dtype=base_ohlc_dtype)
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def unpack_fqsn(fqsn: str) -> tuple[str, str, str]:
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'''
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Unpack a fully-qualified-symbol-name to ``tuple``.
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'''
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venue = ''
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suffix = ''
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# TODO: probably reverse the order of all this XD
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tokens = fqsn.split('.')
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if len(tokens) < 3:
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# probably crypto
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symbol, broker = tokens
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return (
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broker,
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symbol,
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'',
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)
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elif len(tokens) > 3:
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symbol, venue, suffix, broker = tokens
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else:
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symbol, venue, broker = tokens
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suffix = ''
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# head, _, broker = fqsn.rpartition('.')
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# symbol, _, suffix = head.rpartition('.')
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return (
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broker,
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'.'.join([symbol, venue]),
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suffix,
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)
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|
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|
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class MktPair(Struct, frozen=True):
|
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|
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src: str # source asset name being used to buy
|
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src_type: str # source asset's financial type/classification name
|
||||
# ^ specifies a "class" of financial instrument
|
||||
# egs. stock, futer, option, bond etc.
|
||||
|
||||
dst: str # destination asset name being bought
|
||||
dst_type: str # destination asset's financial type/classification name
|
||||
|
||||
price_tick: float # minimum price increment value increment
|
||||
price_tick_digits: int # required decimal digits for above
|
||||
|
||||
size_tick: float # minimum size (aka vlm) increment value increment
|
||||
size_tick_digits: int # required decimal digits for above
|
||||
|
||||
venue: str | None = None # market venue provider name
|
||||
expiry: str | None = None # for derivs, expiry datetime parseable str
|
||||
|
||||
# for derivs, info describing contract, egs.
|
||||
# strike price, call or put, swap type, exercise model, etc.
|
||||
contract_info: str | None = None
|
||||
|
||||
@classmethod
|
||||
def from_msg(
|
||||
self,
|
||||
msg: dict[str, Any],
|
||||
|
||||
) -> MktPair:
|
||||
'''
|
||||
Constructor for a received msg-dict normally received over IPC.
|
||||
|
||||
'''
|
||||
...
|
||||
|
||||
# fqa, fqma, .. etc. see issue:
|
||||
# https://github.com/pikers/piker/issues/467
|
||||
@property
|
||||
def fqsn(self) -> str:
|
||||
'''
|
||||
Return the fully qualified market (endpoint) name for the
|
||||
pair of transacting assets.
|
||||
|
||||
'''
|
||||
...
|
||||
|
||||
|
||||
# TODO: rework the below `Symbol` (which was originally inspired and
|
||||
# derived from stuff in quantdom) into a simpler, ipc msg ready, market
|
||||
# endpoint meta-data container type as per the drafted interace above.
|
||||
class Symbol(Struct):
|
||||
'''
|
||||
I guess this is some kinda container thing for dealing with
|
||||
all the different meta-data formats from brokers?
|
||||
|
||||
'''
|
||||
key: str
|
||||
tick_size: float = 0.01
|
||||
lot_tick_size: float = 0.0 # "volume" precision as min step value
|
||||
tick_size_digits: int = 2
|
||||
lot_size_digits: int = 0
|
||||
suffix: str = ''
|
||||
broker_info: dict[str, dict[str, Any]] = {}
|
||||
|
||||
@classmethod
|
||||
def from_broker_info(
|
||||
cls,
|
||||
broker: str,
|
||||
symbol: str,
|
||||
info: dict[str, Any],
|
||||
suffix: str = '',
|
||||
|
||||
) -> Symbol:
|
||||
|
||||
tick_size = info.get('price_tick_size', 0.01)
|
||||
lot_size = info.get('lot_tick_size', 0.0)
|
||||
|
||||
return Symbol(
|
||||
key=symbol,
|
||||
|
||||
tick_size=tick_size,
|
||||
lot_tick_size=lot_size,
|
||||
|
||||
tick_size_digits=float_digits(tick_size),
|
||||
lot_size_digits=float_digits(lot_size),
|
||||
|
||||
suffix=suffix,
|
||||
broker_info={broker: info},
|
||||
)
|
||||
|
||||
@classmethod
|
||||
def from_fqsn(
|
||||
cls,
|
||||
fqsn: str,
|
||||
info: dict[str, Any],
|
||||
|
||||
) -> Symbol:
|
||||
broker, key, suffix = unpack_fqsn(fqsn)
|
||||
return cls.from_broker_info(
|
||||
broker,
|
||||
key,
|
||||
info=info,
|
||||
suffix=suffix,
|
||||
)
|
||||
|
||||
@property
|
||||
def type_key(self) -> str:
|
||||
return list(self.broker_info.values())[0]['asset_type']
|
||||
|
||||
@property
|
||||
def brokers(self) -> list[str]:
|
||||
return list(self.broker_info.keys())
|
||||
|
||||
def nearest_tick(self, value: float) -> float:
|
||||
'''
|
||||
Return the nearest tick value based on mininum increment.
|
||||
|
||||
'''
|
||||
mult = 1 / self.tick_size
|
||||
return round(value * mult) / mult
|
||||
|
||||
def front_feed(self) -> tuple[str, str]:
|
||||
'''
|
||||
Return the "current" feed key for this symbol.
|
||||
|
||||
(i.e. the broker + symbol key in a tuple).
|
||||
|
||||
'''
|
||||
return (
|
||||
list(self.broker_info.keys())[0],
|
||||
self.key,
|
||||
)
|
||||
|
||||
def tokens(self) -> tuple[str]:
|
||||
broker, key = self.front_feed()
|
||||
if self.suffix:
|
||||
return (key, self.suffix, broker)
|
||||
else:
|
||||
return (key, broker)
|
||||
|
||||
@property
|
||||
def fqsn(self) -> str:
|
||||
return '.'.join(self.tokens()).lower()
|
||||
|
||||
def front_fqsn(self) -> str:
|
||||
'''
|
||||
fqsn = "fully qualified symbol name"
|
||||
|
||||
Basically the idea here is for all client-ish code (aka programs/actors
|
||||
that ask the provider agnostic layers in the stack for data) should be
|
||||
able to tell which backend / venue / derivative each data feed/flow is
|
||||
from by an explicit string key of the current form:
|
||||
|
||||
<instrumentname>.<venue>.<suffixwithmetadata>.<brokerbackendname>
|
||||
|
||||
TODO: I have thoughts that we should actually change this to be
|
||||
more like an "attr lookup" (like how the web should have done
|
||||
urls, but marketting peeps ruined it etc. etc.):
|
||||
|
||||
<broker>.<venue>.<instrumentname>.<suffixwithmetadata>
|
||||
|
||||
'''
|
||||
tokens = self.tokens()
|
||||
fqsn = '.'.join(map(str.lower, tokens))
|
||||
return fqsn
|
||||
|
||||
def quantize_size(
|
||||
self,
|
||||
size: float,
|
||||
|
||||
) -> Decimal:
|
||||
'''
|
||||
Truncate input ``size: float`` using ``Decimal``
|
||||
and ``.lot_size_digits``.
|
||||
|
||||
'''
|
||||
digits = self.lot_size_digits
|
||||
return Decimal(size).quantize(
|
||||
Decimal(f'1.{"0".ljust(digits, "0")}'),
|
||||
rounding=ROUND_HALF_EVEN
|
||||
)
|
||||
|
||||
|
||||
def _nan_to_closest_num(array: np.ndarray):
|
||||
"""Return interpolated values instead of NaN.
|
||||
|
||||
|
|
|
@ -70,11 +70,11 @@ from ._sharedmem import (
|
|||
)
|
||||
from .ingest import get_ingestormod
|
||||
from .types import Struct
|
||||
from ._source import (
|
||||
base_iohlc_dtype,
|
||||
from ..accounting._mktinfo import (
|
||||
Symbol,
|
||||
unpack_fqsn,
|
||||
)
|
||||
from ._source import base_iohlc_dtype
|
||||
from ..ui import _search
|
||||
from ._sampling import (
|
||||
open_sample_stream,
|
||||
|
|
|
@ -30,10 +30,10 @@ import tractor
|
|||
import pendulum
|
||||
import numpy as np
|
||||
|
||||
from .types import Struct
|
||||
from ._source import (
|
||||
from ..accounting._mktinfo import (
|
||||
Symbol,
|
||||
)
|
||||
from .types import Struct
|
||||
from ._sharedmem import (
|
||||
attach_shm_array,
|
||||
ShmArray,
|
||||
|
|
|
@ -45,7 +45,7 @@ from ..data._sampling import (
|
|||
_default_delay_s,
|
||||
open_sample_stream,
|
||||
)
|
||||
from ..data._source import Symbol
|
||||
from ..accounting._mktinfo import Symbol
|
||||
from ._api import (
|
||||
Fsp,
|
||||
_load_builtins,
|
||||
|
|
|
@ -28,7 +28,7 @@ from ..service import maybe_spawn_brokerd
|
|||
from . import _event
|
||||
from ._exec import run_qtractor
|
||||
from ..data.feed import install_brokerd_search
|
||||
from ..data._source import unpack_fqsn
|
||||
from ..accounting._mktinfo import unpack_fqsn
|
||||
from . import _search
|
||||
from ._chart import GodWidget
|
||||
from ..log import get_logger
|
||||
|
|
|
@ -29,7 +29,7 @@ from PyQt5 import QtCore, QtGui, QtWidgets
|
|||
from PyQt5.QtCore import QPointF
|
||||
|
||||
from . import _pg_overrides as pgo
|
||||
from ..data._source import float_digits
|
||||
from ..accounting._mktinfo import float_digits
|
||||
from ._label import Label
|
||||
from ._style import DpiAwareFont, hcolor, _font
|
||||
from ._interaction import ChartView
|
||||
|
|
|
@ -68,7 +68,7 @@ from ..data.feed import (
|
|||
Feed,
|
||||
Flume,
|
||||
)
|
||||
from ..data._source import Symbol
|
||||
from ..accounting._mktinfo import Symbol
|
||||
from ..log import get_logger
|
||||
from ._interaction import ChartView
|
||||
from ._forms import FieldsForm
|
||||
|
|
|
@ -46,7 +46,7 @@ from ..data._sharedmem import (
|
|||
try_read,
|
||||
)
|
||||
from ..data.feed import Flume
|
||||
from ..data._source import Symbol
|
||||
from ..accounting._mktinfo import Symbol
|
||||
from ._chart import (
|
||||
ChartPlotWidget,
|
||||
LinkedSplits,
|
||||
|
|
|
@ -42,7 +42,7 @@ from ..clearing._allocate import (
|
|||
mk_allocator,
|
||||
)
|
||||
from ._style import _font
|
||||
from ..data._source import Symbol
|
||||
from ..accounting._mktinfo import Symbol
|
||||
from ..data.feed import (
|
||||
Feed,
|
||||
Flume,
|
||||
|
|
|
@ -13,7 +13,7 @@ from piker.data import (
|
|||
ShmArray,
|
||||
open_feed,
|
||||
)
|
||||
from piker.data._source import (
|
||||
from piker.accounting._mktinfo import (
|
||||
unpack_fqsn,
|
||||
)
|
||||
|
||||
|
|
Loading…
Reference in New Issue