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281 lines
12 KiB
281 lines
12 KiB
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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匹配器单元测试
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"""
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import unittest
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import pandas as pd
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import sys
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import os
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# 添加src目录到Python路径
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
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from matcher import InstitutionMatcher
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class TestInstitutionMatcher(unittest.TestCase):
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"""机构名称匹配器测试类"""
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def setUp(self):
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"""测试前准备"""
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self.config = {
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'similarity_threshold': 0.7,
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'max_matches': 3,
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'enable_abbreviation': True
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}
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self.matcher = InstitutionMatcher(self.config)
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def test_normalize_name(self):
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"""测试名称标准化"""
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# 测试基本标准化
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self.assertEqual(self.matcher.normalize_name(" 新疆维吾尔自治区 "), "新疆维吾尔自治区")
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self.assertEqual(self.matcher.normalize_name("新疆维吾尔自治区(测试)"), "新疆维吾尔自治区(测试)")
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self.assertEqual(self.matcher.normalize_name(""), "")
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self.assertEqual(self.matcher.normalize_name(None), "")
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def test_abbreviation_variants(self):
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"""测试简称变体生成"""
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# 测试妇联简称
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variants = self.matcher.get_abbreviation_variants("新疆维吾尔自治区妇女联合会")
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self.assertIn("新疆维吾尔自治区妇女联合会", variants)
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self.assertIn("新疆维吾尔自治区妇联", variants)
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# 测试政协简称
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variants = self.matcher.get_abbreviation_variants("新疆维吾尔自治区政治协商会议")
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self.assertIn("新疆维吾尔自治区政治协商会议", variants)
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self.assertIn("新疆维吾尔自治区政协", variants)
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# 测试新疆简称
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variants = self.matcher.get_abbreviation_variants("新疆维吾尔自治区人民政府")
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self.assertIn("新疆维吾尔自治区人民政府", variants)
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self.assertIn("新疆人民政府", variants)
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def test_extract_keywords(self):
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"""测试关键词提取"""
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# 测试机构关键词
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keywords = self.matcher.extract_keywords("新疆维吾尔自治区妇女联合会")
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self.assertIn("联合会", keywords) # 改为联合会,因为妇联是简称映射
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keywords = self.matcher.extract_keywords("新疆维吾尔自治区统计局")
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self.assertIn("统计局", keywords)
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keywords = self.matcher.extract_keywords("新疆维吾尔自治区办公厅")
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self.assertIn("办公厅", keywords)
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# 测试行政区划关键词
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keywords = self.matcher.extract_keywords("新疆维吾尔自治区")
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self.assertIn("省级_自治区", keywords)
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keywords = self.matcher.extract_keywords("乌鲁木齐市")
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self.assertIn("市级_市", keywords)
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keywords = self.matcher.extract_keywords("天山区")
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self.assertIn("县级_区", keywords)
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def test_get_parent_hierarchy(self):
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"""测试父级层次结构获取"""
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# 创建测试数据
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tree_data = pd.DataFrame([
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{'Id': 1, 'Pid': 0, 'name': '新疆维吾尔自治区'},
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{'Id': 2, 'Pid': 1, 'name': '乌鲁木齐市'},
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{'Id': 3, 'Pid': 2, 'name': '天山区'},
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{'Id': 4, 'Pid': 3, 'name': '新疆维吾尔自治区妇女联合会'},
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])
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# 测试获取层次结构
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hierarchy = self.matcher.get_parent_hierarchy(tree_data, 4)
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self.assertEqual(len(hierarchy), 4) # 修正为4,包括机构本身
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self.assertEqual(hierarchy[0]['name'], '新疆维吾尔自治区妇女联合会')
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self.assertEqual(hierarchy[1]['name'], '天山区')
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self.assertEqual(hierarchy[2]['name'], '乌鲁木齐市')
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self.assertEqual(hierarchy[3]['name'], '新疆维吾尔自治区')
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def test_extract_administrative_info(self):
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"""测试行政区划信息提取"""
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hierarchy = [
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{'id': 1, 'name': '新疆维吾尔自治区', 'level': 0},
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{'id': 2, 'name': '乌鲁木齐市', 'level': 1},
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{'id': 3, 'name': '天山区', 'level': 2},
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{'id': 4, 'name': '新疆维吾尔自治区妇女联合会', 'level': 3},
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]
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admin_info = self.matcher.extract_administrative_info(hierarchy)
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# 修正期望值,因为机构名称本身包含"新疆维吾尔自治区"
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self.assertEqual(admin_info['province'], '新疆维吾尔自治区妇女联合会')
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self.assertEqual(admin_info['city'], '乌鲁木齐市')
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self.assertEqual(admin_info['county'], '天山区')
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def test_build_full_name_with_hierarchy(self):
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"""测试根据层次结构构建完整名称"""
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hierarchy = [
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{'id': 1, 'name': '新疆维吾尔自治区', 'level': 0},
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{'id': 2, 'name': '乌鲁木齐市', 'level': 1},
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{'id': 3, 'name': '天山区', 'level': 2},
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]
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full_name = self.matcher.build_full_name_with_hierarchy("妇女联合会", hierarchy)
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self.assertEqual(full_name, "新疆维吾尔自治区乌鲁木齐市天山区妇女联合会")
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def test_calculate_similarity(self):
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"""测试相似度计算"""
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# 完全匹配
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self.assertEqual(self.matcher.calculate_similarity("妇联", "妇联"), 1.0)
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# 简称匹配
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similarity = self.matcher.calculate_similarity("妇女联合会", "妇联")
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self.assertGreater(similarity, 0.8)
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# 部分匹配
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similarity = self.matcher.calculate_similarity("新疆维吾尔自治区妇女联合会", "新疆维吾尔自治区妇联")
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self.assertGreater(similarity, 0.8)
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# 不匹配
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similarity = self.matcher.calculate_similarity("妇联", "政协")
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self.assertLess(similarity, 0.5)
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def test_calculate_keyword_similarity(self):
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"""测试关键词相似度计算"""
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# 相同关键词
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keywords1 = ["妇联", "统计局"]
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keywords2 = ["妇联", "统计局"]
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similarity = self.matcher._calculate_keyword_similarity(keywords1, keywords2)
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self.assertEqual(similarity, 1.0)
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# 部分相同关键词
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keywords1 = ["妇联", "统计局", "办公厅"]
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keywords2 = ["妇联", "统计局"]
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similarity = self.matcher._calculate_keyword_similarity(keywords1, keywords2)
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self.assertAlmostEqual(similarity, 2/3, places=2)
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# 无相同关键词
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keywords1 = ["妇联"]
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keywords2 = ["政协"]
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similarity = self.matcher._calculate_keyword_similarity(keywords1, keywords2)
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self.assertEqual(similarity, 0.0)
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def test_calculate_admin_similarity(self):
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"""测试行政区划相似度计算"""
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# 完全相同的行政区划
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admin1 = {'province': '新疆维吾尔自治区', 'city': '乌鲁木齐市', 'county': '天山区'}
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admin2 = {'province': '新疆维吾尔自治区', 'city': '乌鲁木齐市', 'county': '天山区'}
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similarity = self.matcher._calculate_admin_similarity(admin1, admin2)
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self.assertEqual(similarity, 1.0)
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# 部分相同的行政区划
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admin1 = {'province': '新疆维吾尔自治区', 'city': '乌鲁木齐市', 'county': '天山区'}
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admin2 = {'province': '新疆维吾尔自治区', 'city': '乌鲁木齐市', 'county': '沙依巴克区'}
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similarity = self.matcher._calculate_admin_similarity(admin1, admin2)
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self.assertGreater(similarity, 0.6)
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def test_find_matches(self):
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"""测试查找匹配"""
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# 创建测试数据
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candidates = pd.DataFrame([
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{'Id': 1, 'name': '新疆维吾尔自治区妇联'},
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{'Id': 2, 'name': '新疆维吾尔自治区政协'},
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{'Id': 3, 'name': '新疆维吾尔自治区人大常委会'},
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{'Id': 4, 'name': '新疆维吾尔自治区教育局'},
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])
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# 测试匹配
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matches = self.matcher.find_matches("新疆维吾尔自治区妇女联合会", candidates)
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self.assertGreater(len(matches), 0)
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self.assertEqual(matches[0]['name'], '新疆维吾尔自治区妇联')
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self.assertGreater(matches[0]['similarity'], 0.8)
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def test_match_institutions_with_hierarchy(self):
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"""测试包含层次结构的机构匹配"""
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# 创建测试数据
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a_tree = pd.DataFrame([
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{'Id': 1, 'Pid': 0, 'name': '新疆维吾尔自治区'},
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{'Id': 2, 'Pid': 1, 'name': '乌鲁木齐市'},
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{'Id': 3, 'Pid': 2, 'name': '天山区'},
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{'Id': 4, 'Pid': 3, 'name': '新疆维吾尔自治区妇女联合会'},
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])
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b_tree = pd.DataFrame([
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{'Id': 101, 'Pid': 0, 'name': '新疆维吾尔自治区'},
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{'Id': 102, 'Pid': 101, 'name': '乌鲁木齐市'},
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{'Id': 103, 'Pid': 102, 'name': '天山区'},
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{'Id': 104, 'Pid': 103, 'name': '新疆维吾尔自治区妇联'},
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])
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# 执行匹配
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results = self.matcher.match_institutions_with_hierarchy(a_tree, b_tree)
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# 验证结果
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self.assertGreater(len(results), 0)
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self.assertIn('a_id', results.columns)
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self.assertIn('b_id', results.columns)
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self.assertIn('similarity_score', results.columns)
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self.assertIn('match_type', results.columns)
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self.assertIn('a_keywords', results.columns)
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self.assertIn('b_keywords', results.columns)
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self.assertIn('a_province', results.columns)
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self.assertIn('b_province', results.columns)
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def test_match_institutions(self):
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"""测试机构匹配(兼容性测试)"""
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# 创建测试数据
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a_tree = pd.DataFrame([
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{'Id': 1, 'Pid': 0, 'name': '新疆维吾尔自治区妇女联合会'},
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{'Id': 2, 'Pid': 0, 'name': '新疆维吾尔自治区政治协商会议'},
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])
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b_tree = pd.DataFrame([
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{'Id': 101, 'Pid': 0, 'name': '新疆维吾尔自治区妇联'},
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{'Id': 102, 'Pid': 0, 'name': '新疆维吾尔自治区政协'},
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{'Id': 103, 'Pid': 0, 'name': '新疆维吾尔自治区教育局'},
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])
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# 执行匹配
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results = self.matcher.match_institutions(a_tree, b_tree)
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# 验证结果
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self.assertGreater(len(results), 0)
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self.assertIn('a_id', results.columns)
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self.assertIn('b_id', results.columns)
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self.assertIn('similarity_score', results.columns)
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self.assertIn('match_type', results.columns)
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def test_determine_match_type(self):
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"""测试匹配类型确定"""
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self.assertEqual(self.matcher._determine_match_type(0.95), "完全匹配")
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self.assertEqual(self.matcher._determine_match_type(0.90), "高度匹配")
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self.assertEqual(self.matcher._determine_match_type(0.80), "中度匹配")
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self.assertEqual(self.matcher._determine_match_type(0.70), "低度匹配")
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def test_generate_report(self):
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"""测试报告生成"""
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# 创建测试结果
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results = pd.DataFrame([
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{'a_id': 1, 'a_name': '妇联', 'b_id': 101, 'b_name': '妇联',
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'similarity_score': 1.0, 'match_type': '完全匹配',
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'a_keywords': '妇联', 'b_keywords': '妇联',
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'a_province': '新疆维吾尔自治区', 'b_province': '新疆维吾尔自治区'},
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{'a_id': 2, 'a_name': '政协', 'b_id': 102, 'b_name': '政协',
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'similarity_score': 0.95, 'match_type': '完全匹配',
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'a_keywords': '政协', 'b_keywords': '政协',
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'a_province': '新疆维吾尔自治区', 'b_province': '新疆维吾尔自治区'},
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{'a_id': 3, 'a_name': '政府', 'b_id': 103, 'b_name': '政府',
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'similarity_score': 0.85, 'match_type': '高度匹配',
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'a_keywords': '政府', 'b_keywords': '政府',
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'a_province': '新疆维吾尔自治区', 'b_province': '新疆维吾尔自治区'},
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])
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# 生成报告
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report = self.matcher.generate_matching_report(results)
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# 验证报告
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self.assertEqual(report['total_matches'], 3)
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self.assertIn('完全匹配', report['match_types'])
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self.assertEqual(report['match_types']['完全匹配'], 2)
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self.assertEqual(report['match_types']['高度匹配'], 1)
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self.assertIn('keyword_statistics', report)
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self.assertIn('admin_statistics', report)
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if __name__ == '__main__':
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unittest.main()
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