# Copyright (c) Microsoft Corporation. # Licensed under the MIT License. from qlib.workflow.record_temp import SignalRecord import shutil import unittest from pathlib import Path from qlib.contrib.workflow import MultiSegRecord, SignalMseRecord from qlib.utils import init_instance_by_config, flatten_dict from qlib.workflow import R from qlib.tests import TestAutoData from qlib.tests.config import CSI300_GBDT_TASK def train_multiseg(uri_path: str = None): model = init_instance_by_config(CSI300_GBDT_TASK["model"]) dataset = init_instance_by_config(CSI300_GBDT_TASK["dataset"]) with R.start(experiment_name="workflow", uri=uri_path): R.log_params(**flatten_dict(CSI300_GBDT_TASK)) model.fit(dataset) recorder = R.get_recorder() sr = MultiSegRecord(model, dataset, recorder) sr.generate(dict(valid="valid", test="test"), True) uri = R.get_uri() return uri def train_mse(uri_path: str = None): model = init_instance_by_config(CSI300_GBDT_TASK["model"]) dataset = init_instance_by_config(CSI300_GBDT_TASK["dataset"]) with R.start(experiment_name="workflow", uri=uri_path): R.log_params(**flatten_dict(CSI300_GBDT_TASK)) model.fit(dataset) recorder = R.get_recorder() SignalRecord(recorder=recorder, model=model, dataset=dataset).generate() sr = SignalMseRecord(recorder) sr.generate() uri = R.get_uri() return uri class TestAllFlow(TestAutoData): URI_PATH = "file:" + str(Path(__file__).parent.joinpath("test_contrib_mlruns").resolve()) @classmethod def tearDownClass(cls) -> None: shutil.rmtree(cls.URI_PATH.lstrip("file:")) def test_0_multiseg(self): uri_path = train_multiseg(self.URI_PATH) def test_1_mse(self): uri_path = train_mse(self.URI_PATH) def suite(): _suite = unittest.TestSuite() _suite.addTest(TestAllFlow("test_0_multiseg")) _suite.addTest(TestAllFlow("test_1_mse")) return _suite if __name__ == "__main__": runner = unittest.TextTestRunner() runner.run(suite())