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Add RecordTemp & update

This commit is contained in:
Jactus
2020-11-02 11:05:40 +08:00
parent da9d1c8ac6
commit 5f9c8be33d
11 changed files with 263 additions and 81 deletions

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# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import pandas as pd
from pathlib import Path
from ..contrib.evaluate import (
backtest as normal_backtest,
risk_analysis,
)
from ..utils import init_instance_by_config, get_module_by_module_path
class RecordTemp:
def __init__(self, *args, **kwargs):
pass
def generate(self, **kwargs):
"""
Generate certain records such as IC, backtest etc., and save them.
Parameters
----------
kwargs
Return
------
The generated records.
"""
raise NotImplementedError(f"Please implement the `generate` method.")
def check(self, **kwargs):
"""
Check if the records is properly generated and saved.
Parameters
----------
kwargs
"""
raise NotImplementedError(f"Please implement the `check` method.")
# TODO: this can only be run under R's running experiment.
class SignalRecord(RecordTemp):
def __init__(self, model, dataset, recorder, **kwargs):
super(SignalRecord, self).__init__()
self.model = model
self.dataset = dataset
self.recorder = recorder
def generate(self, **kwargs):
# generate prediciton
pred = self.model.predict(self.dataset)
self.recorder.save_object(pred, 'pred.pkl')
def load(self):
# try to load the saved object
try:
pred = self.recorder.load_object('pred.pkl')
return pred
except:
raise Exception('Something went wrong when loading the saved object.')
def check(self, **kwargs):
return self.recorder.check('pred.pkl')
# TODO
class SigAnaRecord(SignalRecord):
def __init__(self, recorder, **kwargs):
def generate(self):
pass
def load(self):
pass
def check(self):
pass
class PortAnaRecord(SignalRecord):
def __init__(self, recorder, STRATEGY_CONFIG, BACKTEST_CONFIG, **kwargs):
self.recorder = recorder
self.STRATEGY_CONFIG = STRATEGY_CONFIG
self.BACKTEST_CONFIG = BACKTEST_CONFIG
module = get_module_by_module_path("qlib.contrib.strategy")
self.strategy = init_instance_by_config(STRATEGY_CONFIG, module)
self.artifact_path = Path('portfolio_analysis').resolve()
def generate(self, **kwargs):
"""
STRATEGY_CONFIG : dict
define the strategy class as well as the kwargs.
BACKTEST_CONFIG : dict
define the backtest kwargs.
"""
# check previously stored prediction results
assert super().check(), "Make sure the parent process is completed and store the data properly."
# custom strategy and get backtest
pred_score = super().load()
report_normal, positions_normal = normal_backtest(pred_score, strategy=self.strategy, **self.BACKTEST_CONFIG)
self.recorder.save_object(report_normal, 'report_normal.pkl', self.artifact_path)
self.recorder.save_object(positions_normal, 'positions_normal.pkl', self.artifact_path)
# analysis
analysis = dict()
analysis["excess_return_without_cost"] = risk_analysis(report_normal["return"] - report_normal["bench"])
analysis["excess_return_with_cost"] = risk_analysis(
report_normal["return"] - report_normal["bench"] - report_normal["cost"]
)
analysis_df = pd.concat(analysis) # type: pd.DataFrame
self.recorder.save_object(pred, 'port_analysis.pkl', self.artifact_path)
def load(self):
# try to load the saved object
try:
pred = self.recorder.load_object(self.artifact_path / 'port_analysis.pkl'')
return pred
except:
raise Exception('Something went wrong when loading the saved object.')
def check(self):
return self.recorder.check('port_analysis.pkl', self.artifact_path)