63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
import pytest
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import numpy as np
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from src.data import CreditCardDataProcessor, load_data
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from pathlib import Path
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def test_data_processor_initialization():
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processor = CreditCardDataProcessor("data/creditcard.csv")
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assert processor.file_path == "data/creditcard.csv"
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assert processor.data is None
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def test_load_data():
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processor = CreditCardDataProcessor("data/creditcard.csv")
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processor.load_data()
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assert processor.data is not None
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assert processor.data.height > 0
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assert "Class" in processor.data.columns
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def test_validate_data():
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processor = CreditCardDataProcessor("data/creditcard.csv")
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processor.load_data()
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processor.validate_data()
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assert processor.data is not None
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def test_split_data_by_time():
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processor = CreditCardDataProcessor("data/creditcard.csv")
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processor.load_data()
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train_data, test_data = processor.split_data_by_time(test_ratio=0.2)
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assert train_data is not None
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assert test_data is not None
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assert train_data.height > test_data.height
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def test_prepare_features_labels():
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processor = CreditCardDataProcessor("data/creditcard.csv")
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processor.load_data()
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processor.split_data_by_time()
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processor.prepare_features_labels()
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assert processor.train_features is not None
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assert processor.train_labels is not None
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assert processor.test_features is not None
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assert processor.test_labels is not None
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def test_load_data_function():
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processor = load_data("data/creditcard.csv")
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assert processor.data is not None
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assert processor.train_features is not None
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assert processor.test_features is not None
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def test_get_statistics():
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processor = load_data("data/creditcard.csv")
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stats = processor.get_statistics()
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assert "总记录数" in stats
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assert "特征数" in stats
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assert "欺诈交易数" in stats
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assert "非欺诈交易数" in stats
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assert stats["总记录数"] > 0
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