WIP start a `@piker.fsp` API for registering processors

dark_vlm
Tyler Goodlet 2022-01-26 14:38:49 -05:00
parent 13b8807f1f
commit c6a3c66e7e
1 changed files with 178 additions and 0 deletions

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piker/fsp/_api.py 100644
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# piker: trading gear for hackers
# Copyright (C) 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/>.
'''
FSP (financial signal processing) apis.
'''
from __future__ import annotations
from functools import partial
from typing import (
Any,
Callable,
Awaitable,
Optional,
)
import numpy as np
import tractor
from tractor._portal import NamespacePath
# import wrapt
from ..data._sharedmem import (
ShmArray,
maybe_open_shm_array,
)
# global fsp registry filled out by @fsp decorator below
_fsp_builtins = {}
# 'rsi': _rsi,
# 'wma': _wma,
# 'vwap': _tina_vwap,
# 'dolla_vlm': dolla_vlm,
# }
def _load_builtins() -> dict[tuple, Callable]:
from ._momo import _rsi, _wma
from ._volume import tina_vwap, dolla_vlm
return _fsp_builtins
# TODO: things to figure the heck out:
# - how to handle non-plottable values (pyqtgraph has facility for this
# now in `arrayToQPath()`)
# - composition of fsps / implicit chaining syntax (we need an issue)
class Fsp:
'''
"Financial signal processor" decorator wrapped async function.
'''
# TODO: checkout the advanced features from ``wrapt``:
# - dynamic enable toggling,
# https://wrapt.readthedocs.io/en/latest/decorators.html#dynamically-disabling-decorators
# - custom object proxies, might be useful for implementing n-compose
# https://wrapt.readthedocs.io/en/latest/wrappers.html#custom-object-proxies
# - custom function wrappers,
# https://wrapt.readthedocs.io/en/latest/wrappers.html#custom-function-wrappers
def __init__(
self,
func: Callable[..., Awaitable],
*,
outputs: tuple[str] = (),
display_name: Optional[str] = None,
**config,
) -> None:
# if wrapped is not None:
# self.name = wrapped.__name__
# TODO: should we make this a wrapt object proxy?
self.func = func
self.__name__ = func.__name__
self.__module__ = func.__module__
self.ns_path: tuple[str, str] = NamespacePath.from_ref(func)
_fsp_builtins[self.ns_path] = func
self.outputs = outputs
self.config: dict[str, Any] = config
# @wrapt.decorator
def __call__(
self,
# TODO: when we settle on py3.10 we should probably use the new
# type annots from pep 612:
# https://www.python.org/dev/peps/pep-0612/
# instance,
*args,
**kwargs
):
return self.func(*args, **kwargs)
# return wrapped(*args, **kwargs)
def fsp(
wrapped=None,
*,
outputs: tuple[str] = (),
display_name: Optional[str] = None,
**config,
) -> Fsp:
# @wrapt.decorator
# def wrapper(wrapped, instance, args, kwargs):
# return wrapped(*args, **kwargs)
if wrapped is None:
# return functools.partial(with_optional_arguments,
# myarg1=myarg1, myarg2=myarg2)
return partial(
Fsp,
outputs=outputs,
display_name=display_name,
**config,
)
# return wrapper(wrapped)
return Fsp(wrapped, outputs=(wrapped.__name__,))
# outputs=outputs,
# display_name=display_name,
# **config,
# )(wrapped)
def maybe_mk_fsp_shm(
sym: str,
target: fsp,
# field_name: str,
# display_name: Optional[str] = None,
readonly: bool = True,
) -> (ShmArray, bool):
'''
Allocate a single row shm array for an symbol-fsp pair if none
exists, otherwise load the shm already existing for that token.
'''
uid = tractor.current_actor().uid
# load declared fields from fsp and allocate in
# shm array.
# if not display_name:
# display_name = field_name
# TODO: load function here and introspect
# return stream type(s)
display_name = target.__name__
# TODO: should `index` be a required internal field?
fsp_dtype = np.dtype(
[('index', int)] +
[(field_name, float) for field_name in target.outputs]
)
key = f'{sym}.fsp.{display_name}.{".".join(uid)}'
shm, opened = maybe_open_shm_array(
key,
# TODO: create entry for each time frame
dtype=fsp_dtype,
readonly=True,
)
return shm, opened