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95 lines
3.6 KiB
95 lines
3.6 KiB
2 months ago
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import unittest
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from unittest.mock import mock_open, patch
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from collections import Counter, defaultdict
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import pandas as pd
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from bullet_comment_analysis import read_comments, count_comments, process_data, process_matched_comments
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class TestCommentProcessing(unittest.TestCase):
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"""
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测试 bullet_comment_analysis 模块中的函数。
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"""
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@patch('builtins.open', new_callable=mock_open, read_data='弹幕1\n弹幕2\n弹幕3\n')
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def test_read_comments(self, mock_file):
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"""
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测试 read_comments 函数
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"""
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result = read_comments('dummy_file.txt')
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self.assertEqual(result, ['弹幕1', '弹幕2', '弹幕3'])
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# 验证文件是否以正确的模式打开
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mock_file.assert_called_once_with('dummy_file.txt', 'r', encoding='utf-8')
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def test_count_comments(self):
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"""
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测试 count_comments 函数
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"""
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comments = [
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"我喜欢AI",
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"人工智能很厉害",
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"AI和智能设备",
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"GPT 很棒",
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"数据分析很重要",
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"AI技术无处不在",
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"这是合成的视频",
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]
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keywords = ['AI', '人工智能', '智能', 'GPT', '计算', '数据分析', '识别', 'gtp', '合成', '监测']
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expected_count = Counter({'ai': 3, '人工智能': 1, '智能': 2, 'gpt': 1, '数据分析': 1, '合成': 1})
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expected_matched_comments = defaultdict(list, {
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'ai': ["我喜欢AI", "AI和智能设备", "AI技术无处不在"],
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'人工智能': ["人工智能很厉害"],
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'智能': ["AI和智能设备", "人工智能很厉害"],
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'gpt': ["GPT 很棒"],
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'数据分析': ["数据分析很重要"],
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'合成': ["这是合成的视频"]
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})
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count, matched_comments = count_comments(comments, keywords)
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# 检查计数是否正确
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self.assertEqual(count, expected_count)
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# 检查结果是否符合预期
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for keyword in expected_matched_comments:
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self.assertCountEqual(matched_comments[keyword], expected_matched_comments[keyword])
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def test_process_data(self):
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"""
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测试 process_data 函数
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"""
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count = Counter({'ai': 10, '人工智能': 5, '智能': 7, 'GPT': 3, '数据分析': 4, '识别': 1})
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df = process_data(count)
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expected_df = pd.DataFrame([
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{'弹幕': 'ai', '数量': 10},
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{'弹幕': '智能', '数量': 7},
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{'弹幕': '人工智能', '数量': 5},
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{'弹幕': '数据分析', '数量': 4},
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{'弹幕': 'GPT', '数量': 3},
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{'弹幕': '识别', '数量': 1}
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]).sort_values(by='数量', ascending=False).head(8).reset_index(drop=True)
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pd.testing.assert_frame_equal(df.reset_index(drop=True), expected_df)
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def test_process_matched_comments(self):
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"""
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测试 process_matched_comments 函数
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"""
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matched_comments = defaultdict(list, {
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'ai': ["AI is great", "I love AI"],
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'GPT': ["GPT is amazing"],
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})
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df = process_matched_comments(matched_comments)
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expected_df = pd.DataFrame([
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{'关键词': 'ai', '匹配弹幕': "AI is great"},
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{'关键词': 'ai', '匹配弹幕': "I love AI"},
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{'关键词': 'GPT', '匹配弹幕': "GPT is amazing"}
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])
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pd.testing.assert_frame_equal(df, expected_df)
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if __name__ == "__main__":
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unittest.main()
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