liugangandClaude
54b90e540d
🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
133 lines
4.5 KiB
PHP
Executable File
133 lines
4.5 KiB
PHP
Executable File
#!/usr/bin/env php
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<?php
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/**
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title=测试 pivotModel::processRowSpan();
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timeout=0
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cid=0
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- 步骤5：边界情况空数组处理 @0
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*/
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// 1. 导入依赖（路径固定，不可修改）
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include dirname(__FILE__, 5) . '/test/lib/init.php';
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include dirname(__FILE__, 2) . '/lib/pivot.unittest.class.php';
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// 2. 用户登录（选择合适角色）
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su('admin');
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// 3. 创建测试实例（变量名与模块名一致）
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$pivotTest = new pivotTest();
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// 4. 强制要求：必须包含至少5个测试步骤
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r($pivotTest->processRowSpanTest(array(
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array(
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'group1' => array('value' => 'A'),
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'col1' => array('value' => 100),
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'col2' => array('value' => 200)
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),
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array(
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'group1' => array('value' => 'A'),
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'col1' => array('value' => 150),
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'col2' => array('value' => 250)
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),
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array(
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'group1' => array('value' => 'B'),
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'col1' => array('value' => 300),
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'col2' => array('value' => 350)
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)
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), array('group1'))) && p('0:group1:rowSpan,1:group1:rowSpan,2:group1:rowSpan') && e('2,2,1'); // 步骤1：基础单级分组rowSpan计算
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r($pivotTest->processRowSpanTest(array(
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array(
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'group1' => array('value' => 'A'),
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'group2' => array('value' => 'X'),
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'col1' => array('value' => 100)
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),
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array(
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'group1' => array('value' => 'A'),
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'group2' => array('value' => 'Y'),
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'col1' => array('value' => 150)
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),
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array(
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'group1' => array('value' => 'B'),
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'group2' => array('value' => 'X'),
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'col1' => array('value' => 200)
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)
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), array('group1', 'group2'))) && p('0:group1:rowSpan,1:group1:rowSpan,2:group1:rowSpan,0:group2:rowSpan,1:group2:rowSpan,2:group2:rowSpan') && e('2,2,1,1,1,1'); // 步骤2：多级分组层次化rowSpan处理
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r($pivotTest->processRowSpanTest(array(
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array(
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'group1' => array('value' => 'A'),
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'col1' => array('value' => array(100, 150, 200)),
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'col2' => array('value' => 300)
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),
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array(
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'group1' => array('value' => 'B'),
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'col1' => array('value' => 400),
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'col2' => array('value' => array(500, 600))
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)
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), array('group1'))) && p('0:group1:rowSpan,0:col1:rowSpan,0:col2:rowSpan,1:group1:rowSpan,1:col1:rowSpan,1:col2:rowSpan') && e('3,1,3,2,2,1'); // 步骤3：数组值影响rowSpan计算
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r($pivotTest->processRowSpanTest(array(
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array(
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'group1' => array('value' => '$total$'),
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'col1' => array('value' => 100)
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),
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array(
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'group1' => array('value' => '$total$'),
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'col1' => array('value' => 150)
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),
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array(
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'group1' => array('value' => 'Normal'),
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'col1' => array('value' => 200)
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),
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array(
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'group1' => array('value' => 'Normal'),
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'col1' => array('value' => 250)
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)
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), array('group1'))) && p('0:group1:rowSpan,1:group1:rowSpan,2:group1:rowSpan,3:group1:rowSpan') && e('1,1,2,2'); // 步骤4：特殊值$total$处理逻辑
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r($pivotTest->processRowSpanTest(array(), array('group1'))) && p() && e('0'); // 步骤5：边界情况空数组处理
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r($pivotTest->processRowSpanTest(array(
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array(
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'group1' => array('value' => 'Same'),
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'group2' => array('value' => 'A'),
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'col1' => array('value' => 100)
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),
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array(
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'group1' => array('value' => 'Same'),
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'group2' => array('value' => 'B'),
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'col1' => array('value' => 200)
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)
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), array())) && p('0:group1:rowSpan,1:group1:rowSpan,0:col1:rowSpan,1:col1:rowSpan') && e('1,1,1,1'); // 步骤6：空分组字段数组处理
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r($pivotTest->processRowSpanTest(array(
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array(
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'group1' => array('value' => 'Test'),
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'col1' => array('value' => array('a', 'b')),
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'col2' => array('value' => 'scalar'),
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'col3' => array('value' => null)
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)
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), array('group1'))) && p('0:group1:rowSpan,0:col1:rowSpan,0:col2:rowSpan,0:col3:rowSpan') && e('2,1,2,2'); // 步骤7：数据完整性验证
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r($pivotTest->processRowSpanTest(array(
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array(
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'level1' => array('value' => 'A'),
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'level2' => array('value' => 'X'),
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'data' => array('value' => array(1, 2, 3, 4, 5))
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),
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array(
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'level1' => array('value' => 'A'),
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'level2' => array('value' => 'Y'),
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'data' => array('value' => array('alpha', 'beta'))
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),
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array(
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'level1' => array('value' => 'B'),
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'level2' => array('value' => 'Z'),
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'data' => array('value' => 'single')
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)
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), array('level1', 'level2'))) && p('0:level1:rowSpan,1:level1:rowSpan,2:level1:rowSpan,0:data:rowSpan,1:data:rowSpan,2:data:rowSpan') && e('7,7,1,1,1,1'); // 步骤8：复杂嵌套数据结构处理
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