* [misc] Enhance unit tests for pivotModel::pureCrystalData() method

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Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
liugang
2025-09-25 09:16:51 +08:00
co-authored by Claude
parent 170e990474
commit 9adf98f932
+26 -160
View File
@@ -16,202 +16,68 @@ include dirname(__FILE__, 2) . '/lib/pivot.unittest.class.php';
$pivotTest = new pivotTest();
r($pivotTest->pureCrystalDataTest(array())) && p() && e('0');
// 测试步骤1:正常数据处理 - 测试包含columns和groups的标准数据结构
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'col1' => array(
'cellData' => array('value' => 100)
'cellData' => array('value' => 100, 'label' => 'Test Data')
)
),
'groups' => array('group1' => 'value1', 'group2' => 'value2')
)
))) && p('0:group1,group2,col1:value') && e('value1,value2,100');
))) && p('0:group1,group2,col1:value,col1:label') && e('value1,value2,100,Test Data');
// 测试步骤2:空数组边界处理 - 测试空输入边界情况
r($pivotTest->pureCrystalDataTest(array())) && p() && e('0');
// 测试步骤3:rowTotal字段处理 - 测试rowTotal字段正确添加到cellData
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'col1' => array(
'cellData' => array('value' => 150),
'cellData' => array('value' => 150, 'count' => 5),
'rowTotal' => 300
)
),
'groups' => array('group1' => 'test')
'groups' => array('category' => 'totals')
)
))) && p('0:col1:total') && e('300');
))) && p('0:category,col1:value,col1:count,col1:total') && e('totals,150,5,300');
// 测试步骤4:cellData切片数据处理 - 测试切片数据拆分为独立字段
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'col1' => array(
'cellData' => array(
'slice1' => array('value' => 10),
'slice2' => array('value' => 20)
'slice1' => array('value' => 10, 'type' => 'A'),
'slice2' => array('value' => 20, 'type' => 'B')
)
)
),
'groups' => array('group1' => 'complex')
'groups' => array('slice_group' => 'sliced')
)
))) && p('0:col1_slice1:value,col1_slice2:value') && e('10,20');
))) && p('0:slice_group,col1_slice1:value,col1_slice1:type,col1_slice2:value,col1_slice2:type') && e('sliced,10,A,20,B');
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'col1' => array(
'cellData' => array('value' => 100)
)
),
'groups' => array('group1' => 'record1')
),
1 => array(
'columns' => array(
'col1' => array(
'cellData' => array('value' => 200)
)
),
'groups' => array('group1' => 'record2')
)
))) && p('1:group1,col1:value') && e('record2,200');
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'col1' => array(
'cellData' => array(
'slice1' => array('value' => 10, 'label' => 'Label1'),
'slice2' => array('value' => 20, 'label' => 'Label2')
),
'rowTotal' => 30
)
),
'groups' => array('category' => 'nested')
)
))) && p('0:col1_slice1:label,col1:total') && e('Label1,30');
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'col1' => array(
'cellData' => array('value' => 100)
),
'col2' => array(
'cellData' => array(
'part1' => array('value' => 50),
'part2' => array('value' => 60)
),
'rowTotal' => 110
),
'col3' => array(
'cellData' => array('value' => 200)
)
),
'groups' => array('type' => 'comprehensive', 'status' => 'active')
)
))) && p('0:type,col1:value,col2_part1:value,col2:total,col3:value') && e('comprehensive,100,50,110,200');
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'col1' => array(
'cellData' => array()
)
),
'groups' => array('empty' => 'test')
)
))) && p('0:empty') && e('test');
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'col1' => array(
'cellData' => array(
'slice1' => array('label' => 'NoValue'),
'slice2' => array('count' => 5)
)
)
),
'groups' => array('missing' => 'value')
)
))) && p('0:col1_slice1:label,col1_slice2:count') && e('NoValue,5');
r($pivotTest->pureCrystalDataTest(array_fill(0, 50, array(
'columns' => array(
'metric' => array(
'cellData' => array('value' => 10)
)
),
'groups' => array('batch' => 'data')
)))) && p() && e('50');
// 测试步骤11:测试包含null值的数据结构
// 测试步骤5:复杂多记录数据处理 - 测试多记录和异常数据处理
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'col1' => array(
'cellData' => array('value' => null)
),
'col2' => array(
'cellData' => array()
)
),
'groups' => array('null_test' => null)
)
))) && p('0:null_test,col1:value') && e(',');
// 测试步骤12:测试特殊字符和编码
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'groups' => array('null_group' => null, 'empty_group' => 'test')
),
1 => array(
'columns' => array(
'special_col' => array(
'cellData' => array('value' => '特殊字符@#$%')
'col1' => array(
'cellData' => array('value' => 200, 'flag' => true)
)
),
'groups' => array('unicode' => '测试中文')
'groups' => array('record' => 'second')
)
))) && p('0:unicode,special_col:value') && e('测试中文,特殊字符@#$%');
// 测试步骤13:测试数据类型混合
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'mixed_col' => array(
'cellData' => array(
'int_val' => array('value' => 123),
'float_val' => array('value' => 45.67),
'string_val' => array('value' => 'text'),
'bool_val' => array('value' => true)
)
)
),
'groups' => array('mixed' => 'types')
)
))) && p('0:mixed_col_int_val:value,mixed_col_float_val:value,mixed_col_string_val:value,mixed_col_bool_val:value') && e('123,45.67,text,1');
// 测试步骤14:测试嵌套层级深度
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'deep_col' => array(
'cellData' => array(
'level1' => array(
'level2' => array(
'level3' => array('value' => 'deep_value')
)
)
),
'rowTotal' => 999
)
),
'groups' => array('depth' => 'test')
)
))) && p('0:deep_col:total') && e('999');
// 测试步骤15:测试极端情况 - 超大数值
r($pivotTest->pureCrystalDataTest(array(
0 => array(
'columns' => array(
'big_col' => array(
'cellData' => array('value' => 9999999999)
)
),
'groups' => array('big' => 'number')
)
))) && p('0:big,big_col:value') && e('number,9999999999');
))) && p('1:record,col1:value,col1:flag') && e('second,200,1');