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streamsql/streamsql_plugin_test.go
2025-06-11 18:44:41 +08:00

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package streamsql
import (
"fmt"
"github.com/rulego/streamsql/utils/cast"
"testing"
"time"
"github.com/rulego/streamsql/functions"
"github.com/stretchr/testify/assert"
)
// TestPluginStyleCustomFunctions 测试插件式自定义函数
func TestPluginStyleCustomFunctions(t *testing.T) {
fmt.Println("🔌 测试插件式自定义函数系统")
// 动态注册新函数运行时注册无需修改SQL解析代码
// 1. 注册字符串处理函数(应该直接处理,不需要窗口)
err := functions.RegisterCustomFunction(
"mask_phone", // 全新的函数名
functions.TypeString,
"数据脱敏",
"手机号脱敏",
1, 1,
func(ctx *functions.FunctionContext, args []interface{}) (interface{}, error) {
phone := cast.ToString(args[0])
if len(phone) != 11 {
return phone, nil
}
return phone[:3] + "****" + phone[7:], nil
},
)
assert.NoError(t, err)
defer functions.Unregister("mask_phone")
// 2. 注册转换函数(应该直接处理)
err = functions.RegisterCustomFunction(
"format_id",
functions.TypeConversion,
"格式化",
"格式化ID",
1, 1,
func(ctx *functions.FunctionContext, args []interface{}) (interface{}, error) {
id := cast.ToString(args[0])
return "ID_" + id, nil
},
)
assert.NoError(t, err)
defer functions.Unregister("format_id")
// 3. 注册数学函数(用于窗口聚合)
err = functions.RegisterCustomFunction(
"calculate_commission",
functions.TypeMath,
"业务计算",
"计算销售佣金",
2, 2,
func(ctx *functions.FunctionContext, args []interface{}) (interface{}, error) {
sales := cast.ToFloat64(args[0])
rate := cast.ToFloat64(args[1])
return sales * rate / 100, nil
},
)
assert.NoError(t, err)
defer functions.Unregister("calculate_commission")
// 测试1纯字符串函数不需要窗口
testStringFunctionsOnly(t)
// 测试2转换函数不需要窗口
testConversionFunctionsOnly(t)
// 测试3数学函数在聚合中使用需要窗口
testMathFunctionsInAggregate(t)
fmt.Println("✅ 插件式自定义函数测试完成")
}
func testStringFunctionsOnly(t *testing.T) {
fmt.Println("\n📝 测试纯字符串函数(直接处理模式)...")
streamsql := New()
defer streamsql.Stop()
sql := `
SELECT
employee_id,
mask_phone(phone) as masked_phone
FROM stream
`
err := streamsql.Execute(sql)
assert.NoError(t, err)
resultChan := make(chan interface{}, 10)
streamsql.Stream().AddSink(func(result interface{}) {
resultChan <- result
})
// 添加测试数据
testData := map[string]interface{}{
"employee_id": "E001",
"phone": "13812345678",
}
streamsql.AddData(testData)
time.Sleep(300 * time.Millisecond)
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
assert.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "E001", item["employee_id"])
assert.Equal(t, "138****5678", item["masked_phone"]) // 脱敏后的手机号
fmt.Printf(" 📊 字符串函数结果: %v\n", item)
case <-time.After(2 * time.Second):
t.Fatal("字符串函数测试超时")
}
}
func testConversionFunctionsOnly(t *testing.T) {
fmt.Println("\n🔄 测试转换函数(直接处理模式)...")
streamsql := New()
defer streamsql.Stop()
sql := `
SELECT
user_id,
format_id(user_id) as formatted_id
FROM stream
`
err := streamsql.Execute(sql)
assert.NoError(t, err)
resultChan := make(chan interface{}, 10)
streamsql.Stream().AddSink(func(result interface{}) {
resultChan <- result
})
// 添加测试数据
testData := map[string]interface{}{
"user_id": "12345",
}
streamsql.AddData(testData)
time.Sleep(300 * time.Millisecond)
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
assert.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "12345", item["user_id"])
assert.Equal(t, "ID_12345", item["formatted_id"])
fmt.Printf(" 📊 转换函数结果: %v\n", item)
case <-time.After(2 * time.Second):
t.Fatal("转换函数测试超时")
}
}
func testMathFunctionsInAggregate(t *testing.T) {
fmt.Println("\n📈 测试数学函数在聚合中使用(窗口模式)...")
streamsql := New()
defer streamsql.Stop()
sql := `
SELECT
department,
AVG(calculate_commission(sales, commission_rate)) as avg_commission
FROM stream
GROUP BY department, TumblingWindow('1s')
`
err := streamsql.Execute(sql)
assert.NoError(t, err)
resultChan := make(chan interface{}, 10)
streamsql.Stream().AddSink(func(result interface{}) {
resultChan <- result
})
// 添加测试数据
testData := []interface{}{
map[string]interface{}{
"department": "sales",
"sales": 8000.0,
"commission_rate": 3.0,
},
map[string]interface{}{
"department": "sales",
"sales": 12000.0,
"commission_rate": 4.0,
},
}
for _, data := range testData {
streamsql.AddData(data)
}
time.Sleep(1 * time.Second)
streamsql.Stream().Window.Trigger()
time.Sleep(500 * time.Millisecond)
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
assert.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "sales", item["department"])
// 验证聚合计算结果
avgCommission, ok := item["avg_commission"].(float64)
assert.True(t, ok)
expectedAvg := (8000*3/100 + 12000*4/100) / 2 // (240 + 480) / 2 = 360
assert.InEpsilon(t, expectedAvg, avgCommission, 0.01)
fmt.Printf(" 📊 聚合数学函数结果: %v\n", item)
case <-time.After(3 * time.Second):
t.Fatal("聚合数学函数测试超时")
}
}
// TestRuntimeFunctionManagement 测试运行时函数管理
func TestRuntimeFunctionManagement(t *testing.T) {
fmt.Println("\n🔧 测试运行时函数管理...")
// 动态注册函数
err := functions.RegisterCustomFunction(
"temp_function",
functions.TypeString, // 使用字符串类型以便直接处理
"临时函数",
"临时测试函数",
1, 1,
func(ctx *functions.FunctionContext, args []interface{}) (interface{}, error) {
val := cast.ToString(args[0])
return "TEMP_" + val, nil
},
)
assert.NoError(t, err)
// 验证函数已注册
fn, exists := functions.Get("temp_function")
assert.True(t, exists)
assert.Equal(t, "temp_function", fn.GetName())
// 在SQL中使用
streamsql := New()
defer streamsql.Stop()
sql := `SELECT temp_function(value) as result FROM stream`
err = streamsql.Execute(sql)
assert.NoError(t, err)
resultChan := make(chan interface{}, 10)
streamsql.Stream().AddSink(func(result interface{}) {
resultChan <- result
})
streamsql.AddData(map[string]interface{}{"value": "test"})
time.Sleep(300 * time.Millisecond)
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
assert.True(t, ok)
assert.Len(t, resultSlice, 1)
assert.Equal(t, "TEMP_test", resultSlice[0]["result"])
case <-time.After(2 * time.Second):
t.Fatal("运行时函数管理测试超时")
}
// 运行时注销函数
success := functions.Unregister("temp_function")
assert.True(t, success)
// 验证函数已注销
_, exists = functions.Get("temp_function")
assert.False(t, exists)
fmt.Println("✅ 运行时函数管理测试完成")
}
// TestFunctionPluginDiscovery 测试函数插件发现机制
func TestFunctionPluginDiscovery(t *testing.T) {
fmt.Println("\n🔍 测试函数插件发现机制...")
// 注册不同类型的函数
functions.RegisterCustomFunction("plugin_math", functions.TypeMath, "插件", "数学插件", 1, 1,
func(ctx *functions.FunctionContext, args []interface{}) (interface{}, error) {
return args[0], nil
})
functions.RegisterCustomFunction("plugin_string", functions.TypeString, "插件", "字符串插件", 1, 1,
func(ctx *functions.FunctionContext, args []interface{}) (interface{}, error) {
return args[0], nil
})
defer functions.Unregister("plugin_math")
defer functions.Unregister("plugin_string")
// 测试按类型发现函数
mathFunctions := functions.GetByType(functions.TypeMath)
assert.Greater(t, len(mathFunctions), 0)
// 验证新注册的函数被发现
found := false
for _, fn := range mathFunctions {
if fn.GetName() == "plugin_math" {
found = true
break
}
}
assert.True(t, found, "新注册的数学函数应该被发现")
// 测试全量函数发现
allFunctions := functions.ListAll()
assert.Contains(t, allFunctions, "plugin_math")
assert.Contains(t, allFunctions, "plugin_string")
//fmt.Println(fmt.Sprintf("发现的函数总数: %d", len(allFunctions)))
fmt.Println("✅ 函数插件发现机制测试完成")
}
// TestCompleteSQLIntegration 测试完整的SQL集成
func TestCompleteSQLIntegration(t *testing.T) {
fmt.Println("\n🎯 测试完整SQL集成...")
// 注册完全新的业务函数
err := functions.RegisterCustomFunction(
"business_metric",
functions.TypeString,
"业务指标",
"计算业务指标",
2, 2,
func(ctx *functions.FunctionContext, args []interface{}) (interface{}, error) {
category := cast.ToString(args[0])
value := cast.ToFloat64(args[1])
var multiplier float64
switch category {
case "premium":
multiplier = 1.5
case "standard":
multiplier = 1.0
default:
multiplier = 0.8
}
return fmt.Sprintf("%s:%.2f", category, value*multiplier), nil
},
)
assert.NoError(t, err)
defer functions.Unregister("business_metric")
streamsql := New()
defer streamsql.Stop()
// 使用全新的函数在SQL中
sql := `
SELECT
customer_id,
business_metric(tier, amount) as metric
FROM stream
`
err = streamsql.Execute(sql)
assert.NoError(t, err)
resultChan := make(chan interface{}, 10)
streamsql.Stream().AddSink(func(result interface{}) {
resultChan <- result
})
testData := map[string]interface{}{
"customer_id": "C001",
"tier": "premium",
"amount": 100.0,
}
streamsql.AddData(testData)
time.Sleep(300 * time.Millisecond)
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
assert.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "C001", item["customer_id"])
assert.Equal(t, "premium:150.00", item["metric"])
case <-time.After(2 * time.Second):
t.Fatal("完整SQL集成测试超时")
}
fmt.Println("✅ 完整SQL集成测试完成")
}