diff --git a/MANIFEST.in b/MANIFEST.in index a8683b74..80413fd3 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -3,3 +3,5 @@ include tell/data/balancing_authority_modeled.yml include tell/data/mlp_settings.yml include tell/data/hyperparameters.csv include tell/data/models/* +include tell/tests/data/* +include tell/tests/data/train_data/* diff --git a/docs/source/conf.py b/docs/source/conf.py index 6c5ec109..7d5e5d0e 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -21,7 +21,7 @@ copyright = '2022, Batelle Memorial Institute' author = 'Casey Burleyson, Casey McGrath' -version = 'v0.1.3' +version = 'v0.1.4' # -- General configuration --------------------------------------------------- diff --git a/requirements.txt b/requirements.txt index 4f7e8b1a..00804bfb 100644 --- a/requirements.txt +++ b/requirements.txt @@ -39,3 +39,4 @@ sklearn>=0.0 threadpoolctl>=3.1.0 urllib3>=1.26.8 tqdm>=4.63.0 +fastparquet>=0.8.3 diff --git a/setup.py b/setup.py index ee4e9dfa..a36ea712 100644 --- a/setup.py +++ b/setup.py @@ -64,7 +64,8 @@ def readme(): 'six>=1.16.0', 'sklearn>=0.0', 'threadpoolctl>=3.1.0', - 'urllib3>=1.26.8' + 'urllib3>=1.26.8', + 'fastparquet>=0.8.3' ], extras_require={ 'dev': [ diff --git a/tell/__init__.py b/tell/__init__.py index 8546715e..4b83e331 100644 --- a/tell/__init__.py +++ b/tell/__init__.py @@ -25,4 +25,4 @@ from .visualization import * # Set the current version of TELL: -__version__ = '0.1.3' +__version__ = '0.1.4' diff --git a/tell/install_forcing_data.py b/tell/install_forcing_data.py index 716286b3..abfaa74a 100644 --- a/tell/install_forcing_data.py +++ b/tell/install_forcing_data.py @@ -22,7 +22,8 @@ class InstallForcingSample: '0.1.0': 'https://zenodo.org/record/6354665/files/sample_forcing_data.zip?download=1', '0.1.1': 'https://zenodo.org/record/6354665/files/sample_forcing_data.zip?download=1', '0.1.2': 'https://zenodo.org/record/6354665/files/sample_forcing_data.zip?download=1', - '0.1.3': 'https://zenodo.org/record/6354665/files/sample_forcing_data.zip?download=1'} + '0.1.3': 'https://zenodo.org/record/6354665/files/sample_forcing_data.zip?download=1', + '0.1.4': 'https://zenodo.org/record/6354665/files/sample_forcing_data.zip?download=1'} DEFAULT_VERSION = 'https://zenodo.org/record/6354665/files/sample_forcing_data.zip?download=1' diff --git a/tell/install_quickstarter_data.py b/tell/install_quickstarter_data.py index 65e88217..7efd5184 100644 --- a/tell/install_quickstarter_data.py +++ b/tell/install_quickstarter_data.py @@ -21,7 +21,8 @@ class InstallQuickstarterData: '0.1.0': 'https://zenodo.org/record/6804242/files/tell_quickstarter_data.zip?download=1', '0.1.1': 'https://zenodo.org/record/6804242/files/tell_quickstarter_data.zip?download=1', '0.1.2': 'https://zenodo.org/record/6804242/files/tell_quickstarter_data.zip?download=1', - '0.1.3': 'https://zenodo.org/record/6804242/files/tell_quickstarter_data.zip?download=1'} + '0.1.3': 'https://zenodo.org/record/6804242/files/tell_quickstarter_data.zip?download=1', + '0.1.4': 'https://zenodo.org/record/6804242/files/tell_quickstarter_data.zip?download=1'} DEFAULT_VERSION = 'https://zenodo.org/record/6804242/files/tell_quickstarter_data.zip?download=1' diff --git a/tell/install_raw_data.py b/tell/install_raw_data.py index 9f0136be..1954d712 100644 --- a/tell/install_raw_data.py +++ b/tell/install_raw_data.py @@ -22,7 +22,8 @@ class InstallRawData: '0.1.0': 'https://zenodo.org/record/6378036/files/tell_raw_data.zip?download=1', '0.1.1': 'https://zenodo.org/record/6378036/files/tell_raw_data.zip?download=1', '0.1.2': 'https://zenodo.org/record/6378036/files/tell_raw_data.zip?download=1', - '0.1.3': 'https://zenodo.org/record/6378036/files/tell_raw_data.zip?download=1'} + '0.1.3': 'https://zenodo.org/record/6378036/files/tell_raw_data.zip?download=1', + '0.1.4': 'https://zenodo.org/record/6378036/files/tell_raw_data.zip?download=1'} DEFAULT_VERSION = 'https://zenodo.org/record/6378036/files/tell_raw_data.zip?download=1' diff --git a/tell/tests/data/ERCO_WRF_Hourly_Mean_Meteorology_2039.csv b/tell/tests/data/ERCO_WRF_Hourly_Mean_Meteorology_2039.csv new file mode 100644 index 00000000..edc955da --- /dev/null +++ b/tell/tests/data/ERCO_WRF_Hourly_Mean_Meteorology_2039.csv @@ -0,0 +1,8761 @@ +Time_UTC,T2,Q2,SWDOWN,GLW,WSPD +2039-01-01 00:00:00,288.25,0.00814,0.22,374.89,3.83 +2039-01-01 01:00:00,287.68,0.00811,0.0,372.57,3.7 +2039-01-01 02:00:00,287.24,0.00807,0.0,372.78,3.51 +2039-01-01 03:00:00,286.97,0.00804,0.0,373.21,3.48 +2039-01-01 04:00:00,286.75,0.00804,0.0,371.96,3.51 +2039-01-01 05:00:00,286.57,0.00811,0.0,371.75,3.43 +2039-01-01 06:00:00,286.5,0.00823,0.0,371.8,3.28 +2039-01-01 07:00:00,286.48,0.0084,0.0,372.37,3.22 +2039-01-01 08:00:00,286.49,0.00863,0.0,372.47,3.34 +2039-01-01 09:00:00,286.55,0.00886,0.0,371.56,3.47 +2039-01-01 10:00:00,286.51,0.00907,0.0,369.03,3.43 +2039-01-01 11:00:00,286.5,0.00926,0.0,368.73,3.46 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a/tell/tests/data/train_data/comp_train_valid.parquet b/tell/tests/data/train_data/comp_train_valid.parquet new file mode 100644 index 00000000..be73bde6 Binary files /dev/null and b/tell/tests/data/train_data/comp_train_valid.parquet differ diff --git a/tell/tests/test_install_forcing_data.py b/tell/tests/test_install_forcing_data.py new file mode 100644 index 00000000..168b858c --- /dev/null +++ b/tell/tests/test_install_forcing_data.py @@ -0,0 +1,21 @@ +import unittest + +import tell +import tell.install_forcing_data as td + + +class TestInstallForcingData(unittest.TestCase): + + def test_instantiate(self): + + zen = td.InstallForcingSample(data_dir="fake") + + # ensure default version is set + self.assertEqual(str, type(zen.DEFAULT_VERSION)) + + # ensure urls present for current version + self.assertTrue(tell.__version__ in zen.DATA_VERSION_URLS) + + +if __name__ == '__main__': + unittest.main() diff --git a/tell/tests/test_install_quickstarter_data.py b/tell/tests/test_install_quickstarter_data.py new file mode 100644 index 00000000..e9fa6b5b --- /dev/null +++ b/tell/tests/test_install_quickstarter_data.py @@ -0,0 +1,21 @@ +import unittest + +import tell +from tell.install_quickstarter_data import InstallQuickstarterData + + +class TestInstallQuickstarterData(unittest.TestCase): + + def test_instantiate(self): + + zen = InstallQuickstarterData(data_dir="fake") + + # ensure default version is set + self.assertEqual(str, type(zen.DEFAULT_VERSION)) + + # ensure urls present for current version + self.assertTrue(tell.__version__ in zen.DATA_VERSION_URLS) + + +if __name__ == '__main__': + unittest.main() diff --git a/tell/tests/test_install_raw_data.py b/tell/tests/test_install_raw_data.py new file mode 100644 index 00000000..3740531b --- /dev/null +++ b/tell/tests/test_install_raw_data.py @@ -0,0 +1,21 @@ +import unittest + +import tell +import tell.install_raw_data as td + + +class TestInstallRawData(unittest.TestCase): + + def test_instantiate(self): + + zen = td.InstallRawData(data_dir="fake") + + # ensure default version is set + self.assertEqual(str, type(zen.DEFAULT_VERSION)) + + # ensure urls present for current version + self.assertTrue(tell.__version__ in zen.DATA_VERSION_URLS) + + +if __name__ == '__main__': + unittest.main() diff --git a/tell/tests/test_mlp_predict.py b/tell/tests/test_mlp_predict.py index 129d2fc8..1142d607 100644 --- a/tell/tests/test_mlp_predict.py +++ b/tell/tests/test_mlp_predict.py @@ -1,12 +1,33 @@ import unittest +import pkg_resources +import pandas as pd -class TestPackageData(unittest.TestCase): +import tell.mlp_predict as mp + + +class TestMlpPredict(unittest.TestCase): """Tests for functionality within mlp_predict.py""" - def test_mlp_predict(self): - """Test to ensure high level functionality of mlp_predict.py()""" - pass + COMP_PREDICT_DF = pd.read_parquet(pkg_resources.resource_filename("tell", "tests/data/comp_predict.parquet")) + + def test_predict(self): + """Test to ensure high level functionality of predict()""" + + df = mp.predict(region="ERCO", + year=2039, + data_dir=pkg_resources.resource_filename("tell", "tests/data")) + + pd.testing.assert_frame_equal(TestMlpPredict.COMP_PREDICT_DF, df) + + def test_predict_batch(self): + """Test to ensure high level functionality of predict_batch()""" + + df = mp.predict_batch(target_region_list=["ERCO"], + year=2039, + data_dir=pkg_resources.resource_filename("tell", "tests/data")) + + pd.testing.assert_frame_equal(TestMlpPredict.COMP_PREDICT_DF, df) if __name__ == '__main__': diff --git a/tell/tests/test_mlp_train.py b/tell/tests/test_mlp_train.py new file mode 100644 index 00000000..7848dd0d --- /dev/null +++ b/tell/tests/test_mlp_train.py @@ -0,0 +1,56 @@ +import unittest +import pkg_resources + +import numpy as np +import pandas as pd + +import tell.mlp_train as mp + + +class TestMlpTrain(unittest.TestCase): + """Tests for functionality within mlp_train.py""" + + COMP_TRAIN_ARR = pd.read_parquet(pkg_resources.resource_filename("tell", "tests/data/comp_train.parquet"))["a"].values + COMP_TRAIN_PRED_DF = pd.read_parquet(pkg_resources.resource_filename("tell", "tests/data/train_data/comp_train_pred.parquet")) + COMP_TRAIN_VALID_DF = pd.read_parquet(pkg_resources.resource_filename("tell", "tests/data/train_data/comp_train_valid.parquet")) + + def test_train_mlp_model(self): + """Test to ensure high level functionality of predict()""" + + np.random.seed(123) + + arr = mp.train_mlp_model(region="ERCO", + x_train=np.arange(0.1, 100.0, 1.1).reshape(-1, 1), + y_train=np.arange(0.1, 100.0, 1.1).reshape(-1, 1), + x_test=np.arange(0.1, 100.0, 1.1).reshape(-1, 1), + mlp_hidden_layer_sizes=10, + mlp_max_iter=2, + mlp_validation_fraction=0.4) + + np.testing.assert_array_equal(TestMlpTrain.COMP_TRAIN_ARR, arr) + + def test_train(self): + """Test to ensure high level functionality of train()""" + + np.random.seed(123) + + prediction_df, validation_df = mp.train(region="ERCO", + data_dir=pkg_resources.resource_filename("tell", "tests/data/train_data")) + + pd.testing.assert_frame_equal(TestMlpTrain.COMP_TRAIN_PRED_DF, prediction_df) + pd.testing.assert_frame_equal(TestMlpTrain.COMP_TRAIN_VALID_DF, validation_df) + + def test_train_batch(self): + """Test to ensure high level functionality of train()""" + + np.random.seed(123) + + prediction_df, validation_df = mp.train_batch(target_region_list=["ERCO"], + data_dir=pkg_resources.resource_filename("tell", "tests/data/train_data")) + + pd.testing.assert_frame_equal(TestMlpTrain.COMP_TRAIN_PRED_DF, prediction_df) + pd.testing.assert_frame_equal(TestMlpTrain.COMP_TRAIN_VALID_DF, validation_df) + + +if __name__ == '__main__': + unittest.main() diff --git a/tell/tests/test_mlp_utils.py b/tell/tests/test_mlp_utils.py index 6a9c00b5..f2e2e781 100644 --- a/tell/tests/test_mlp_utils.py +++ b/tell/tests/test_mlp_utils.py @@ -1,6 +1,7 @@ import unittest import numpy as np +import pandas as pd import tell.mlp_utils as mpu @@ -28,6 +29,17 @@ class TestMlpUtils(unittest.TestCase): [1.61, 0.09, -0.36]]), 'y_test_norm': np.array([1.36, 0.5, 0.09])} + COMP_DENORM_DF = pd.DataFrame({"datetime": [1.1, 2.2], + "predictions": [3.4, 7.8], + "ground_truth": [1.1, 2.2], + "region": ["alpha"]*2}) + + COMP_EVAL_DF = pd.DataFrame({"BA": "alpha", + "RMS_ABS": [0.070711], + "RMS_NORM": [0.041595], + "MAPE": [0.022727], + "R2": [0.983471]}).round(4) + def test_normalize_prediction_data(self): """Test to ensure high level functionality of normalize_prediction_data()""" @@ -55,6 +67,39 @@ def test_normalize_features(self): else: np.testing.assert_array_equal(target, res[k].round(2)) + def test_get_balancing_authority_to_model_dict(self): + """Test to ensure high level functionality of get_balancing_authority_to_model_dict()""" + + d = mpu.get_balancing_authority_to_model_dict() + + self.assertEqual(54, len(d)) + + def test_denormalize_features(self): + """Test to ensure high level functionality of denormalize_features()""" + + norm_dict = {"max_y_train": np.array([3.1, 4.2]), + "min_y_train": np.array([0.1, 1.2])} + + df = mpu.denormalize_features(region="alpha", + normalized_dict=norm_dict, + y_predicted_normalized=np.array([1.1, 2.2]), + y_comparison=np.array([1.1, 2.2]), + datetime_arr=np.array([1.1, 2.2])) + + pd.testing.assert_frame_equal(TestMlpUtils.COMP_DENORM_DF, df) + + def test_evaluate(self): + """Test to ensure high level functionality of evaluate()""" + + df = mpu.evaluate(region="alpha", + y_predicted=np.array([1.1, 2.2]), + y_comparison=np.array([1.1, 2.3])).round(4) + + print(TestMlpUtils.COMP_EVAL_DF) + print(df) + + pd.testing.assert_frame_equal(TestMlpUtils.COMP_EVAL_DF, df) + if __name__ == '__main__': unittest.main()