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mirror of https://github.com/microsoft/qlib.git synced 2026-07-06 12:30:57 +08:00

Modify data.storage

This commit is contained in:
zhupr
2021-04-13 10:47:01 +08:00
parent 70fc58104b
commit 317357b50d
4 changed files with 141 additions and 91 deletions

View File

@@ -6,6 +6,7 @@ from __future__ import division
from __future__ import print_function
import os
import re
import abc
import time
import queue
@@ -27,12 +28,35 @@ from .cache import DiskDatasetCache, DiskExpressionCache
from ..utils import Wrapper, init_instance_by_config, register_wrapper, get_module_by_module_path
class CalendarProvider(abc.ABC):
class ProviderBackendMixin:
def get_default_backend(self):
backend = {}
provider_name = re.findall("[A-Z][^A-Z]*", self.__class__.__name__)[-2] # type: str
# set default storage class
backend.setdefault("class", f"File{provider_name}Storage")
# set default storage module
backend.setdefault("module_path", "qlib.data.storage.file_storage")
# set default storage kwargs
backend_kwargs = backend.setdefault("kwargs", {}) # type: dict
backend_kwargs.setdefault("uri", os.path.join(C.get_data_path(), f"{provider_name.lower()}s"))
return backend
@property
def backend_obj(self):
return init_instance_by_config(self.backend)
class CalendarProvider(abc.ABC, ProviderBackendMixin):
"""Calendar provider base class
Provide calendar data.
"""
def __init__(self, *args, **kwargs):
self.backend = kwargs.get("backend", {})
if not self.backend:
self.backend = self.get_default_backend()
@abc.abstractmethod
def calendar(self, start_time=None, end_time=None, freq="day", future=False):
"""Get calendar of certain market in given time range.
@@ -127,12 +151,17 @@ class CalendarProvider(abc.ABC):
return hash_args(start_time, end_time, freq, future)
class InstrumentProvider(abc.ABC):
class InstrumentProvider(abc.ABC, ProviderBackendMixin):
"""Instrument provider base class
Provide instrument data.
"""
def __init__(self, *args, **kwargs):
self.backend = kwargs.get("backend", {})
if not self.backend:
self.backend = self.get_default_backend()
@staticmethod
def instruments(market="all", filter_pipe=None):
"""Get the general config dictionary for a base market adding several dynamic filters.
@@ -215,12 +244,17 @@ class InstrumentProvider(abc.ABC):
raise ValueError(f"Unknown instrument type {inst}")
class FeatureProvider(abc.ABC):
class FeatureProvider(abc.ABC, ProviderBackendMixin):
"""Feature provider class
Provide feature data.
"""
def __init__(self, *args, **kwargs):
self.backend = kwargs.get("backend", {})
if not self.backend:
self.backend = self.get_default_backend()
@abc.abstractmethod
def feature(self, instrument, field, start_time, end_time, freq):
"""Get feature data.
@@ -497,6 +531,7 @@ class LocalCalendarProvider(CalendarProvider):
"""
def __init__(self, **kwargs):
super(LocalCalendarProvider, self).__init__(**kwargs)
self.remote = kwargs.get("remote", False)
@property
@@ -517,18 +552,8 @@ class LocalCalendarProvider(CalendarProvider):
list
list of timestamps
"""
if future:
fname = self._uri_cal.format(freq + "_future")
# if future calendar not exists, return current calendar
if not os.path.exists(fname):
get_module_logger("data").warning(f"{freq}_future.txt not exists, return current calendar!")
fname = self._uri_cal.format(freq)
else:
fname = self._uri_cal.format(freq)
if not os.path.exists(fname):
raise ValueError("calendar not exists for freq " + freq)
with open(fname) as f:
return [pd.Timestamp(x.strip()) for x in f]
self.backend.setdefault("kwargs", {}).update(freq=freq, future=future)
return [pd.Timestamp(x) for x in self.backend_obj.data]
def calendar(self, start_time=None, end_time=None, freq="day", future=False):
_calendar, _calendar_index = self._get_calendar(freq, future)
@@ -559,31 +584,15 @@ class LocalInstrumentProvider(InstrumentProvider):
Provide instrument data from local data source.
"""
def __init__(self):
pass
@property
def _uri_inst(self):
"""Instrument file uri."""
return os.path.join(C.get_data_path(), "instruments", "{}.txt")
def _load_instruments(self, market):
fname = self._uri_inst.format(market)
if not os.path.exists(fname):
raise ValueError("instruments not exists for market " + market)
_instruments = dict()
df = pd.read_csv(
fname,
sep="\t",
usecols=[0, 1, 2],
names=["inst", "start_datetime", "end_datetime"],
dtype={"inst": str},
parse_dates=["start_datetime", "end_datetime"],
)
for row in df.itertuples(index=False):
_instruments.setdefault(row[0], []).append((row[1], row[2]))
return _instruments
self.backend.setdefault("kwargs", {}).update(market=market)
return self.backend_obj.data
def list_instruments(self, instruments, start_time=None, end_time=None, freq="day", as_list=False):
market = instruments["market"]
@@ -601,7 +610,7 @@ class LocalInstrumentProvider(InstrumentProvider):
inst: list(
filter(
lambda x: x[0] <= x[1],
[(max(start_time, x[0]), min(end_time, x[1])) for x in spans],
[(max(start_time, pd.Timestamp(x[0])), min(end_time, pd.Timestamp(x[1]))) for x in spans],
)
)
for inst, spans in _instruments.items()
@@ -627,6 +636,7 @@ class LocalFeatureProvider(FeatureProvider):
"""
def __init__(self, **kwargs):
super(LocalFeatureProvider, self).__init__(**kwargs)
self.remote = kwargs.get("remote", False)
@property
@@ -638,14 +648,9 @@ class LocalFeatureProvider(FeatureProvider):
# validate
field = str(field).lower()[1:]
instrument = code_to_fname(instrument)
uri_data = self._uri_data.format(instrument.lower(), field, freq)
if not os.path.exists(uri_data):
get_module_logger("data").warning("WARN: data not found for %s.%s" % (instrument, field))
return pd.Series(dtype=np.float32)
# raise ValueError('uri_data not found: ' + uri_data)
# load
series = read_bin(uri_data, start_index, end_index)
return series
self.backend.setdefault("kwargs", {}).update(instrument=instrument, field=field, freq=freq)
return self.backend_obj[start_index : end_index + 1]
class LocalExpressionProvider(ExpressionProvider):
@@ -1061,7 +1066,8 @@ def register_all_wrappers(C):
register_wrapper(Cal, _calendar_provider, "qlib.data")
logger.debug(f"registering Cal {C.calendar_provider}-{C.calendar_cache}")
register_wrapper(Inst, C.instrument_provider, "qlib.data")
_instrument_provider = init_instance_by_config(C.instrument_provider, module)
register_wrapper(Inst, _instrument_provider, "qlib.data")
logger.debug(f"registering Inst {C.instrument_provider}")
if getattr(C, "feature_provider", None) is not None:

View File

@@ -8,24 +8,29 @@ from typing import Iterator, Iterable, Union, Dict, Mapping, Tuple
import numpy as np
import pandas as pd
from . import CalendarStorage, InstrumentStorage, FeatureStorage, CalVT, InstKT, InstVT
from qlib.data.storage import CalendarStorage, InstrumentStorage, FeatureStorage, CalVT, InstKT, InstVT
class FileCalendarStorage(CalendarStorage):
def __init__(self, uri: str):
super(FileCalendarStorage, self).__init__(uri)
self._uri = Path(self._uri).expanduser().resolve()
def __init__(self, freq: str, future: bool, uri: str):
super(FileCalendarStorage, self).__init__(freq, future, uri)
_file_name = f"{freq}_future.txt" if future else f"{freq}.txt"
self.uri = Path(self.uri).expanduser().joinpath(_file_name.lower())
def _read_calendar(self, skip_rows: int = 0, n_rows: int = None) -> np.ndarray:
if not self._uri.exists():
if not self.uri.exists():
self._write_calendar(values=[])
with self._uri.open("rb") as fp:
with self.uri.open("rb") as fp:
return np.loadtxt(fp, str, skiprows=skip_rows, max_rows=n_rows, encoding="utf-8")
def _write_calendar(self, values: Iterable[CalVT], mode: str = "wb"):
with self._uri.open(mode=mode) as fp:
with self.uri.open(mode=mode) as fp:
np.savetxt(fp, values, fmt="%s", encoding="utf-8")
@property
def data(self) -> Iterable[CalVT]:
return self._read_calendar()
def extend(self, values: Iterable[CalVT]) -> None:
self._write_calendar(values, mode="ab")
@@ -64,27 +69,27 @@ class FileCalendarStorage(CalendarStorage):
return len(self._read_calendar())
def __iter__(self):
with self._uri.open("r") as fp:
yield fp.readline()
return iter(self._read_calendar())
class FileInstrumentStorage(InstrumentStorage):
INSTRUMENT_SEP = "\t"
INSTRUMENT_START_FIELD = "start_datetime"
INSTRUMENT_END_FIELD = "end_datetime"
SYMBOL_FIELD_NAME = "instrument"
def __init__(self, uri: str):
super(FileInstrumentStorage, self).__init__(uri=uri)
self._uri = Path(self._uri).expanduser().resolve()
def __init__(self, market: str, uri: str):
super(FileInstrumentStorage, self).__init__(market, uri)
self.uri = Path(self.uri).expanduser().joinpath(f"{market.lower()}.txt")
def _read_instrument(self) -> Dict[InstKT, InstVT]:
if not self._uri.exists():
if not self.uri.exists():
self._write_instrument()
_instruments = dict()
df = pd.read_csv(
self._uri,
self.uri,
sep="\t",
usecols=[0, 1, 2],
names=[self.SYMBOL_FIELD_NAME, self.INSTRUMENT_START_FIELD, self.INSTRUMENT_END_FIELD],
@@ -97,7 +102,7 @@ class FileInstrumentStorage(InstrumentStorage):
def _write_instrument(self, data: Dict[InstKT, InstVT] = None) -> None:
if not data:
with self._uri.open("w") as _:
with self.uri.open("w") as _:
pass
return
@@ -109,13 +114,17 @@ class FileInstrumentStorage(InstrumentStorage):
df = pd.concat(res, sort=False)
df.loc[:, [self.SYMBOL_FIELD_NAME, self.INSTRUMENT_START_FIELD, self.INSTRUMENT_END_FIELD]].to_csv(
self._uri, header=False, sep=self.INSTRUMENT_SEP, index=False
self.uri, header=False, sep=self.INSTRUMENT_SEP, index=False
)
df.to_csv(self._uri, sep="\t", encoding="utf-8", header=False, index=False)
df.to_csv(self.uri, sep="\t", encoding="utf-8", header=False, index=False)
def clear(self) -> None:
self._write_instrument(data={})
@property
def data(self) -> Dict[InstKT, InstVT]:
return self._read_instrument()
def __setitem__(self, k: InstKT, v: InstVT) -> None:
inst = self._read_instrument()
inst[k] = v
@@ -143,7 +152,7 @@ class FileInstrumentStorage(InstrumentStorage):
raise TypeError(f"update expected at most 1 arguments, got {len(args)}")
inst = self._read_instrument()
if args:
other = args[0]
other = args[0] # type: dict
if isinstance(other, Mapping):
for key in other:
inst[key] = other[key]
@@ -160,29 +169,35 @@ class FileInstrumentStorage(InstrumentStorage):
class FileFeatureStorage(FeatureStorage):
def __init__(self, uri: str):
super(FileFeatureStorage, self).__init__(uri=uri)
self._uri = Path(self._uri)
def __init__(self, instrument: str, field: str, freq: str, uri: str):
super(FileFeatureStorage, self).__init__(instrument, field, freq, uri)
self.uri = (
Path(self.uri).expanduser().joinpath(instrument.lower()).joinpath(f"{field.lower()}.{freq.lower()}.bin")
)
def clear(self):
with self._uri.open("wb") as _:
with self.uri.open("wb") as _:
pass
@property
def data(self) -> pd.Series:
return self[:]
def extend(self, series: pd.Series) -> None:
extend_start_index = self[0][0] + len(self) if self._uri.exists() else series.index[0]
extend_start_index = self[0][0] + len(self) if self.uri.exists() else series.index[0]
series = series.reindex(pd.RangeIndex(extend_start_index, series.index[-1] + 1))
with self._uri.open("ab") as fp:
with self.uri.open("ab") as fp:
np.array(series.values).astype("<f").tofile(fp)
def rebase(self, series: pd.Series) -> None:
origin_series = self[:]
series = series.append(origin_series.loc[origin_series.index > series.index[-1]])
series = series.reindex(pd.RangeIndex(series.index[0], series.index[-1]))
with self._uri.open("wb") as fp:
with self.uri.open("wb") as fp:
np.array(series.values).astype("<f").tofile(fp)
def __getitem__(self, i: Union[int, slice]) -> Union[Tuple[int, float], pd.Series]:
if not self._uri.exists():
if not self.uri.exists():
if isinstance(i, int):
return None, None
elif isinstance(i, slice):
@@ -190,14 +205,14 @@ class FileFeatureStorage(FeatureStorage):
else:
raise TypeError(f"type(i) = {type(i)}")
with open(self._uri, "rb") as fp:
with open(self.uri, "rb") as fp:
ref_start_index = int(np.frombuffer(fp.read(4), dtype="<f")[0])
if isinstance(i, int):
if ref_start_index > i:
raise IndexError(f"{i}: start index is {ref_start_index}")
fp.seek(4 * (i - ref_start_index) + 4)
return i, struct.unpack("f", fp.read(4))
return i, struct.unpack("f", fp.read(4))[0]
elif isinstance(i, slice):
start_index = i.start
end_index = i.stop - 1
@@ -213,18 +228,18 @@ class FileFeatureStorage(FeatureStorage):
raise TypeError(f"type(i) = {type(i)}")
def __len__(self) -> int:
return self._uri.stat().st_size // 4 - 1 if self._uri.exists() else 0
return self.uri.stat().st_size // 4 - 1 if self.uri.exists() else 0
def __iter__(self):
if not self._uri.exists():
if not self.uri.exists():
return
with open(self._uri, "rb") as fp:
with open(self.uri, "rb") as fp:
ref_start_index = int(np.frombuffer(fp.read(4), dtype="<f")[0])
fp.seek(4)
while True:
v = fp.read(4)
if v:
yield ref_start_index, struct.unpack("f", v)
yield ref_start_index, struct.unpack("f", v)[0]
ref_start_index += 1
else:
break

View File

@@ -1,7 +1,7 @@
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
from typing import Iterable, overload, Tuple, List, Text, Iterator, Union
from typing import Iterable, overload, Tuple, List, Text, Iterator, Union, Dict
import pandas as pd
@@ -15,8 +15,15 @@ InstKT = Text
class CalendarStorage:
def __init__(self, uri: str):
self._uri = uri
def __init__(self, freq: str, future: bool, uri: str):
self.freq = freq
self.future = future
self.uri = uri
@property
def data(self) -> Iterable[CalVT]:
"""get all data"""
raise NotImplementedError("Subclass of CalendarStorage must implement `data` method")
def extend(self, iterable: Iterable[CalVT]) -> None:
raise NotImplementedError("Subclass of CalendarStorage must implement `extend` method")
@@ -82,10 +89,19 @@ class CalendarStorage:
"""x.__len__() <==> len(x)"""
raise NotImplementedError("Subclass of CalendarStorage must implement `__len__` method")
def __iter__(self):
raise NotImplementedError("Subclass of CalendarStorage must implement `__iter__` method")
class InstrumentStorage:
def __init__(self, uri: str):
self._uri = uri
def __init__(self, market: str, uri: str):
self.market = market
self.uri = uri
@property
def data(self) -> Dict[InstKT, InstVT]:
"""get all data"""
raise NotImplementedError("Subclass of InstrumentStorage must implement `data` method")
def clear(self) -> None:
raise NotImplementedError("Subclass of InstrumentStorage must implement `clear` method")
@@ -120,8 +136,16 @@ class InstrumentStorage:
class FeatureStorage:
def __init__(self, uri: str):
self._uri = uri
def __init__(self, instrument: str, field: str, freq: str, uri: str):
self.instrument = instrument
self.field = field
self.freq = freq
self.uri = uri
@property
def data(self) -> pd.Series:
"""get all data"""
raise NotImplementedError("Subclass of FeatureStorage must implement `data` method")
def clear(self):
""" Remove all items from FeatureStorage. """

View File

@@ -16,15 +16,16 @@ from qlib.data.storage.file_storage import (
FileFeatureStorage as FeatureStorage,
)
DATA_DIR = Path(__file__).parent.joinpath("test_get_data")
_file_name = Path(__file__).name.split(".")[0]
DATA_DIR = Path(__file__).parent.joinpath(f"{_file_name}_data")
QLIB_DIR = DATA_DIR.joinpath("qlib")
QLIB_DIR.mkdir(exist_ok=True, parents=True)
# TODO: set value
CALENDAR_URI = QLIB_DIR.joinpath("calendars").joinpath("day.txt")
INSTRUMENT_URI = QLIB_DIR.joinpath("instruments").joinpath("csi300.txt")
FEATURE_URI = QLIB_DIR.joinpath("features").joinpath("SH600004").joinpath("close.day.bin")
CALENDAR_URI = QLIB_DIR.joinpath("calendars")
INSTRUMENT_URI = QLIB_DIR.joinpath("instruments")
FEATURE_URI = QLIB_DIR.joinpath("features")
class TestStorage:
@@ -38,9 +39,10 @@ class TestStorage:
def test_calendar_storage(self):
calendar = CalendarStorage(uri=CALENDAR_URI)
calendar = CalendarStorage(freq="day", future=False, uri=CALENDAR_URI)
assert isinstance(calendar, Iterable), f"{calendar.__class__.__name__} is not Iterable"
assert isinstance(calendar[:], Iterable), f"{calendar.__class__.__name__}.__getitem__(s: slice) is not Iterable"
assert isinstance(calendar.data, Iterable), f"{calendar.__class__.__name__}.data is not Iterable"
print(f"calendar[1: 5]: {calendar[1:5]}")
print(f"calendar[0]: {calendar[0]}")
@@ -80,11 +82,11 @@ class TestStorage:
"""
instrument = InstrumentStorage(uri=INSTRUMENT_URI)
instrument = InstrumentStorage(market="csi300", uri=INSTRUMENT_URI)
assert isinstance(instrument, Iterable), f"{instrument.__class__.__name__} is not Iterable"
for inst, spans in instrument.items():
for inst, spans in instrument.data.items():
assert isinstance(inst, str) and isinstance(
spans, Iterable
), f"{instrument.__class__.__name__} value is not Iterable"
@@ -149,11 +151,14 @@ class TestStorage:
"""
feature = FeatureStorage(uri=FEATURE_URI)
feature = FeatureStorage(instrument="SH600004", field="close", freq="day", uri=FEATURE_URI)
assert isinstance(feature, Iterable), f"{feature.__class__.__name__} is not Iterable"
with pytest.raises(IndexError):
print(feature[0])
assert isinstance(
feature[815][1], (np.float, np.float32)
), f"{feature.__class__.__name__}.__getitem__(i: int) error"
assert len(feature[815:818]) == 3, f"{feature.__class__.__name__}.__getitem__(s: slice) error"
print(f"feature[815: 818]: {feature[815: 818]}")
@@ -162,5 +167,5 @@ class TestStorage:
isinstance(_item, tuple) and len(_item) == 2
), f"{feature.__class__.__name__}.__iter__ item type error"
assert isinstance(_item[0], int) and isinstance(
_item[1], (float, np.float, np.float32)
_item[1], (np.float, np.float32)
), f"{feature.__class__.__name__}.__iter__ value type error"