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streamsql_function_integration_test.go
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1425 lines (1185 loc) · 41.5 KB
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package streamsql
import (
"context"
"testing"
"time"
"github.com/rulego/streamsql/functions"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
// TestFunctionIntegrationNonAggregation 测试非聚合函数在SQL中的集成
func TestFunctionIntegrationNonAggregation(t *testing.T) {
t.Run("MathFunctions", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// 测试多个数学函数：abs, sqrt, round
rsql := "SELECT device, abs(temperature) as abs_temp, sqrt(humidity) as sqrt_humidity, round(temperature) as rounded_temp FROM stream"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := map[string]interface{}{
"device": "test-device",
"temperature": -25.5,
"humidity": 64.0,
}
strm.Emit(testData)
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
require.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "test-device", item["device"])
// 验证 abs(-25.5) = 25.5
assert.InEpsilon(t, 25.5, item["abs_temp"], 0.001)
// 验证 sqrt(64) = 8
assert.InEpsilon(t, 8.0, item["sqrt_humidity"], 0.001)
// 验证 round(-25.5) = -26
assert.InEpsilon(t, -26.0, item["rounded_temp"], 0.001)
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("StringFunctions", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// 测试字符串函数：upper, lower, concat, length
rsql := "SELECT upper(device) as upper_device, lower(location) as lower_location, concat(device, '-', location) as combined, length(device) as device_len FROM stream"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := map[string]interface{}{
"device": "sensor01",
"location": "ROOM_A",
}
strm.Emit(testData)
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
require.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "SENSOR01", item["upper_device"])
assert.Equal(t, "room_a", item["lower_location"])
assert.Equal(t, "sensor01-ROOM_A", item["combined"])
assert.Equal(t, 8, item["device_len"])
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("ConversionFunctions", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// 测试转换函数：cast
rsql := "SELECT device, cast(temperature, 'int') as temp_int, cast(humidity, 'string') as humidity_str FROM stream"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := map[string]interface{}{
"device": "test-device",
"temperature": 25.7,
"humidity": 65.0,
}
strm.Emit(testData)
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
require.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "test-device", item["device"])
assert.Equal(t, int32(25), item["temp_int"])
assert.Equal(t, "65", item["humidity_str"])
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("DateTimeFunctions", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// 测试日期时间函数：now, year, month, day
rsql := "SELECT device, now() as current_time, year(timestamp) as ts_year, month(timestamp) as ts_month FROM stream"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
//testTime := time.Date(2025, 4, 15, 10, 30, 0, 0, time.UTC)
testData := map[string]interface{}{
"device": "test-device",
"timestamp": "2025-08-25",
}
strm.Emit(testData)
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
require.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "test-device", item["device"])
assert.NotNil(t, item["current_time"])
assert.Equal(t, 2025, item["ts_year"])
assert.Equal(t, 8, item["ts_month"])
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("JSONFunctions", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// 测试JSON函数：json_extract, json_valid
rsql := "SELECT device, json_extract(metadata, '$.type') as device_type, json_valid(metadata) as is_valid_json FROM stream"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := map[string]interface{}{
"device": "test-device",
"metadata": `{"type": "temperature_sensor", "version": "1.0"}`,
}
strm.Emit(testData)
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
require.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "test-device", item["device"])
assert.Equal(t, "temperature_sensor", item["device_type"])
assert.Equal(t, true, item["is_valid_json"])
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("JSONExtractMapSupport", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// Test json_extract with map input
rsql := "SELECT device, json_extract(properties, '$.color') as device_color FROM stream"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// Add test data with map
testData := map[string]interface{}{
"device": "test-device-map",
"properties": map[string]interface{}{
"color": "red",
"weight": 10,
},
}
strm.Emit(testData)
// Wait for result
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
require.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "test-device-map", item["device"])
assert.Equal(t, "red", item["device_color"])
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("JSONExtractArrayAndNested", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// Test json_extract with array and nested structures
rsql := "SELECT device, json_extract(tags, '$[0]') as first_tag, json_extract(data, '$.users[0].name') as first_user_name FROM stream"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// Add test data with complex structures
testData := map[string]interface{}{
"device": "complex-device",
"tags": []interface{}{"tag1", "tag2"},
"data": map[string]interface{}{
"users": []interface{}{
map[string]interface{}{"name": "Alice", "age": 30},
map[string]interface{}{"name": "Bob", "age": 25},
},
},
}
strm.Emit(testData)
// Wait for result
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
require.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "complex-device", item["device"])
assert.Equal(t, "tag1", item["first_tag"])
assert.Equal(t, "Alice", item["first_user_name"])
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("JSONExtractWithAggregation", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// Test json_extract nested in aggregation function
// json_extract returns interface{}, usually need cast to number for aggregation like sum/avg
// specific logic depends on whether aggregator handles string/interface conversion
// Here we assume json_extract returns float64 for numbers (from Unmarshal) or use cast
rsql := "SELECT count(json_extract(tags, '$[0]')) as tag_count, sum(cast(json_extract(data, '$.value'), 'float')) as total_value FROM stream GROUP BY device, TumblingWindow('1s')"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
testData := []map[string]interface{}{
{
"device": "device1",
"tags": []interface{}{"tag1", "tag2"},
"data": map[string]interface{}{"value": 10},
},
{
"device": "device1",
"tags": []interface{}{"tag3"},
"data": map[string]interface{}{"value": 20},
},
}
for _, data := range testData {
strm.Emit(data)
}
time.Sleep(1 * time.Second)
strm.Window.Trigger()
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
require.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "device1", item["device"])
assert.Equal(t, float64(2), item["tag_count"])
assert.Equal(t, float64(30), item["total_value"])
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
}
// TestFunctionIntegrationAggregation 测试聚合函数在SQL中的集成
func TestFunctionIntegrationAggregation(t *testing.T) {
t.Run("BasicAggregationFunctions", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// 测试基本聚合函数：sum, avg, min, max, count
rsql := "SELECT device, sum(temperature) as total_temp, avg(temperature) as avg_temp, min(temperature) as min_temp, max(temperature) as max_temp, count(temperature) as temp_count FROM stream GROUP BY device, TumblingWindow('1s')"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := []map[string]interface{}{
{"device": "sensor1", "temperature": 20.0},
{"device": "sensor1", "temperature": 25.0},
{"device": "sensor1", "temperature": 30.0},
{"device": "sensor2", "temperature": 15.0},
{"device": "sensor2", "temperature": 18.0},
}
for _, data := range testData {
strm.Emit(data)
}
// 等待窗口初始化
time.Sleep(1 * time.Second)
strm.Window.Trigger()
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
assert.Len(t, resultSlice, 2)
// 验证sensor1的聚合结果
for _, item := range resultSlice {
device := item["device"].(string)
if device == "sensor1" {
assert.InEpsilon(t, 75.0, item["total_temp"].(float64), 0.001)
assert.InEpsilon(t, 25.0, item["avg_temp"].(float64), 0.001)
assert.InEpsilon(t, 20.0, item["min_temp"].(float64), 0.001)
assert.InEpsilon(t, 30.0, item["max_temp"].(float64), 0.001)
assert.Equal(t, 3.0, item["temp_count"].(float64))
} else if device == "sensor2" {
assert.InEpsilon(t, 33.0, item["total_temp"].(float64), 0.001)
assert.InEpsilon(t, 16.5, item["avg_temp"].(float64), 0.001)
assert.InEpsilon(t, 15.0, item["min_temp"].(float64), 0.001)
assert.InEpsilon(t, 18.0, item["max_temp"].(float64), 0.001)
assert.Equal(t, 2.0, item["temp_count"].(float64))
}
}
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("StatisticalAggregationFunctions", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// 测试统计聚合函数：stddev, median, percentile
rsql := "SELECT device, stddev(temperature) as temp_stddev, median(temperature) as temp_median FROM stream GROUP BY device, TumblingWindow('1s')"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := []map[string]interface{}{
{"device": "sensor1", "temperature": 10.0},
{"device": "sensor1", "temperature": 20.0},
{"device": "sensor1", "temperature": 30.0},
{"device": "sensor1", "temperature": 40.0},
{"device": "sensor1", "temperature": 50.0},
}
for _, data := range testData {
strm.Emit(data)
}
// 等待窗口初始化
time.Sleep(1 * time.Second)
strm.Window.Trigger()
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "sensor1", item["device"])
// 标准差应该约为15.81
assert.InEpsilon(t, 15.81, item["temp_stddev"].(float64), 0.1)
// 中位数应该为30.0
assert.InEpsilon(t, 30.0, item["temp_median"].(float64), 0.001)
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("CollectionAggregationFunctions", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// 测试集合聚合函数：collect, first_value, last_value
rsql := "SELECT device, collect(temperature) as temp_array, first_value(temperature) as first_temp, last_value(temperature) as last_temp FROM stream GROUP BY device, TumblingWindow('1s')"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := []map[string]interface{}{
{"device": "sensor1", "temperature": 20.0},
{"device": "sensor1", "temperature": 25.0},
{"device": "sensor1", "temperature": 30.0},
}
for _, data := range testData {
strm.Emit(data)
}
// 等待窗口初始化
time.Sleep(1 * time.Second)
strm.Window.Trigger()
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "sensor1", item["device"])
// 验证collect函数返回的数组
tempArray, ok := item["temp_array"].([]interface{})
assert.True(t, ok)
assert.Len(t, tempArray, 3)
assert.Contains(t, tempArray, 20.0)
assert.Contains(t, tempArray, 25.0)
assert.Contains(t, tempArray, 30.0)
// 验证first_value和last_value
assert.Equal(t, 20.0, item["first_temp"])
assert.Equal(t, 30.0, item["last_temp"])
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
}
// TestFunctionIntegrationMixed 测试混合函数场景
func TestFunctionIntegrationMixed(t *testing.T) {
t.Run("AggregationWithNonAggregationFunctions", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// 测试聚合函数与非聚合函数混合使用
rsql := "SELECT device, upper(device) as device_upper, avg(temperature) as avg_temp, round(avg(temperature), 2) as rounded_avg FROM stream GROUP BY device, TumblingWindow('1s')"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := []map[string]interface{}{
{"device": "sensor1", "temperature": 20.567},
{"device": "sensor1", "temperature": 25.234},
{"device": "sensor1", "temperature": 30.123},
}
for _, data := range testData {
strm.Emit(data)
}
// 等待窗口初始化
time.Sleep(1 * time.Second)
strm.Window.Trigger()
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "sensor1", item["device"])
assert.Equal(t, "SENSOR1", item["device_upper"])
// 验证平均值
if avgTemp, exists := item["avg_temp"]; exists && avgTemp != nil {
assert.InEpsilon(t, 25.308, avgTemp.(float64), 0.001)
} else {
t.Errorf("avg_temp is missing or nil: %v", avgTemp)
}
// 验证四舍五入的平均值
if roundedAvg, exists := item["rounded_avg"]; exists {
if roundedAvg == nil {
t.Errorf("rounded_avg exists but is nil - this indicates the round(avg()) expression failed")
} else if val, ok := roundedAvg.(float64); ok {
// 验证结果在合理范围内
assert.True(t, val >= 25.0 && val <= 25.5, "rounded_avg should be between 25.0 and 25.5, got %v", val)
} else {
t.Errorf("rounded_avg is not a float64: %v (type: %T)", roundedAvg, roundedAvg)
}
} else {
t.Errorf("rounded_avg field is missing from result")
}
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("NestedFunctionCalls", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// 测试嵌套函数调用
rsql := "SELECT device, upper(concat(device, '_', cast(round(temperature, 0), 'string'))) as device_temp_label FROM stream"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := map[string]interface{}{
"device": "sensor1",
"temperature": 25.7,
}
strm.Emit(testData)
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
require.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "sensor1", item["device"])
// round(25.7, 0) = 26, cast(26, 'string') = "26", concat("sensor1", "_", "26") = "sensor1_26", upper("sensor1_26") = "SENSOR1_26"
assert.Equal(t, "SENSOR1_26", item["device_temp_label"])
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("WindowFunctionsWithAggregation", func(t *testing.T) {
streamsql := New()
defer streamsql.Stop()
// 测试窗口函数与聚合函数结合
rsql := "SELECT device, avg(temperature) as avg_temp, window_start() as start_time, window_end() as end_time FROM stream GROUP BY device, TumblingWindow('1s')"
err := streamsql.Execute(rsql)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := []map[string]interface{}{
{"device": "sensor1", "temperature": 20.0},
{"device": "sensor1", "temperature": 30.0},
}
for _, data := range testData {
strm.Emit(data)
}
// 等待窗口初始化
time.Sleep(1 * time.Second)
strm.Window.Trigger()
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "sensor1", item["device"])
assert.InEpsilon(t, 25.0, item["avg_temp"].(float64), 0.001)
assert.NotNil(t, item["start_time"])
assert.NotNil(t, item["end_time"])
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
}
// TestNestedFunctionSupport 测试嵌套函数支持
func TestNestedFunctionSupport(t *testing.T) {
t.Run("NormalFunctionNestingAggregation", func(t *testing.T) {
// 测试普通函数嵌套聚合函数：round(avg(temperature), 2)
streamsql := New()
defer streamsql.Stop()
// 执行包含 round(avg(temperature), 2) 的查询
query := "SELECT device, round(avg(temperature), 2) as rounded_avg FROM stream GROUP BY device, TumblingWindow('1s')"
err := streamsql.Execute(query)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := []map[string]interface{}{
{"device": "sensor1", "temperature": 20.567},
{"device": "sensor1", "temperature": 25.234},
{"device": "sensor1", "temperature": 30.123},
}
for _, data := range testData {
strm.Emit(data)
}
// 等待窗口初始化
time.Sleep(1 * time.Second)
strm.Window.Trigger()
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "sensor1", item["device"])
// 验证四舍五入的平均值
if roundedAvg, exists := item["rounded_avg"]; exists {
if roundedAvg == nil {
t.Errorf("rounded_avg exists but is nil - this indicates the round(avg()) expression failed")
} else if val, ok := roundedAvg.(float64); ok {
// 平均值应该是 (20.567 + 25.234 + 30.123) / 3 = 25.308
// round(25.308, 2) = 25.31
assert.InEpsilon(t, 25.31, val, 0.01)
} else {
t.Errorf("rounded_avg is not a float64: %v (type: %T)", roundedAvg, roundedAvg)
}
} else {
t.Errorf("rounded_avg field is missing from result")
}
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("AggregationNestingNormalFunction", func(t *testing.T) {
// 测试聚合函数嵌套普通函数：avg(round(temperature, 2))
streamsql := New()
defer streamsql.Stop()
// 执行包含 avg(round(temperature, 2)) 的查询
query := "SELECT device, avg(round(temperature, 2)) as avg_rounded FROM stream GROUP BY device, TumblingWindow('1s')"
err := streamsql.Execute(query)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
testData := []map[string]interface{}{
{"device": "sensor1", "temperature": 20.567}, // round(20.567, 2) = 20.57
{"device": "sensor1", "temperature": 25.234}, // round(25.234, 2) = 25.23
{"device": "sensor1", "temperature": 30.123}, // round(30.123, 2) = 30.12
}
for _, data := range testData {
strm.Emit(data)
}
// 等待窗口初始化
time.Sleep(1 * time.Second)
strm.Window.Trigger()
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "sensor1", item["device"])
// 验证聚合函数嵌套普通函数的结果
if avgRounded, exists := item["avg_rounded"]; exists {
if avgRounded == nil {
t.Errorf("avg_rounded exists but is nil - this indicates the avg(round()) expression failed")
} else if val, ok := avgRounded.(float64); ok {
// 期望值：avg(20.57, 25.23, 30.12) = (20.57 + 25.23 + 30.12) / 3 = 25.31
assert.InEpsilon(t, 25.31, val, 0.01)
} else {
t.Errorf("avg_rounded is not a float64: %v (type: %T)", avgRounded, avgRounded)
}
} else {
t.Errorf("avg_rounded field is missing from result")
}
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
t.Run("ComplexNestedFunctions", func(t *testing.T) {
// 测试更复杂的嵌套函数：round(avg(abs(temperature)), 1)
streamsql := New()
defer streamsql.Stop()
// 执行包含 round(avg(abs(temperature)), 1) 的查询
query := "SELECT device, round(avg(abs(temperature)), 1) as complex_result FROM stream GROUP BY device, TumblingWindow('1s')"
err := streamsql.Execute(query)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据（包含负数）
testData := []map[string]interface{}{
{"device": "sensor1", "temperature": -20.567}, // abs(-20.567) = 20.567
{"device": "sensor1", "temperature": 25.234}, // abs(25.234) = 25.234
{"device": "sensor1", "temperature": -30.123}, // abs(-30.123) = 30.123
}
for _, data := range testData {
strm.Emit(data)
}
// 等待窗口初始化
time.Sleep(1 * time.Second)
strm.Window.Trigger()
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
assert.Equal(t, "sensor1", item["device"])
// 验证复杂嵌套函数的结果
if complexResult, exists := item["complex_result"]; exists {
if complexResult == nil {
t.Errorf("complex_result exists but is nil - this indicates the round(avg(abs())) expression failed")
} else if val, ok := complexResult.(float64); ok {
// 期望值：avg(20.567, 25.234, 30.123) = 25.308, round(25.308, 1) = 25.3
assert.InEpsilon(t, 25.3, val, 0.01)
} else {
t.Errorf("complex_result is not a float64: %v (type: %T)", complexResult, complexResult)
}
} else {
t.Errorf("complex_result field is missing from result")
}
case <-ctx.Done():
t.Fatal("测试超时，未收到结果")
}
})
}
// TestNestedFunctionExecutionOrder 测试嵌套函数的执行顺序和不同类型函数的组合
func TestNestedFunctionExecutionOrder(t *testing.T) {
// 测试1: 字符串函数嵌套数学函数
t.Run("StringFunctionNestingMathFunction", func(t *testing.T) {
// 测试 upper(concat("temp_", round(temperature, 1)))
streamsql := New()
defer streamsql.Stop()
query := "SELECT device, upper(concat('temp_', round(temperature, 1))) as formatted_temp FROM stream"
err := streamsql.Execute(query)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
strm.Emit(map[string]interface{}{"device": "sensor1", "temperature": 25.67})
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
// 验证执行顺序：round(25.67, 1) -> 25.7, concat('temp_', '25.7') -> 'temp_25.7', upper('temp_25.7') -> 'TEMP_25.7'
assert.Equal(t, "TEMP_25.7", item["formatted_temp"])
case <-ctx.Done():
t.Fatal("测试超时")
}
})
// 测试2: 数学函数嵌套字符串函数
t.Run("MathFunctionNestingStringFunction", func(t *testing.T) {
// 测试 round(len(upper(device)), 0)
streamsql := New()
defer streamsql.Stop()
query := "SELECT device, round(len(upper(device)), 0) as device_length FROM stream"
err := streamsql.Execute(query)
assert.Nil(t, err)
strm := streamsql.stream
resultChan := make(chan interface{}, 10)
strm.AddSink(func(result []map[string]interface{}) {
resultChan <- result
})
// 添加测试数据
strm.Emit(map[string]interface{}{"device": "sensor1"})
// 等待结果
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Second)
defer cancel()
select {
case result := <-resultChan:
resultSlice, ok := result.([]map[string]interface{})
require.True(t, ok)
assert.Len(t, resultSlice, 1)
item := resultSlice[0]
// 验证执行顺序：upper('sensor1') -> 'SENSOR1', len('SENSOR1') -> 7, round(7, 0) -> 7
assert.Equal(t, float64(7), item["device_length"])
case <-ctx.Done():
t.Fatal("测试超时")
}
})
// 测试3: 多层嵌套函数（3层）
t.Run("ThreeLevelNestedFunctions", func(t *testing.T) {
// 测试 abs(round(sqrt(temperature), 2))
streamsql := New()
defer streamsql.Stop()
query := "SELECT device, abs(round(sqrt(temperature), 2)) as processed_temp FROM stream"
err := streamsql.Execute(query)
assert.Nil(t, err)