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c417b6f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | import unittest
import pandas as pd
import os
from data_preprocessing import preprocess_data
class TestDataPreprocessing(unittest.TestCase):
def setUp(self):
# Create a temporary directory for testing
self.test_dir = "test_data"
os.makedirs(self.test_dir, exist_ok=True)
def tearDown(self):
# Clean up the temporary directory
if os.path.exists(self.test_dir):
for file in os.listdir(self.test_dir):
file_path = os.path.join(self.test_dir, file)
if os.path.isfile(file_path):
os.remove(file_path)
os.rmdir(self.test_dir)
def test_preprocess_data(self):
# Create a sample CSV file for testing
sample_data = {
'open': [100, 101, 102, 103, 104],
'high': [105, 106, 107, 108, 109],
'low': [95, 96, 97, 98, 99],
'close': [101, 102, 103, 104, 105],
'volume': [1000, 1100, 1200, 1300, 1400],
'target': [1.0, 2.0, 1.5, -1.0, 0.5]
}
df = pd.DataFrame(sample_data)
csv_file = os.path.join(self.test_dir, "sample_data.csv")
df.to_csv(csv_file, index=False)
# Call the preprocess_data function on the sample data
preprocess_data(csv_file, self.test_dir)
# Check if the expected output CSV files exist
expected_files = [
"train_features.csv",
"test_features.csv",
"train_target.csv",
"test_target.csv"
]
for file in expected_files:
file_path = os.path.join(self.test_dir, file)
self.assertTrue(os.path.exists(file_path))
if __name__ == '__main__':
unittest.main()
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