package srdb import ( "testing" ) // UserSchema 用户表 Schema var UserSchema = NewSchema("users", []Field{ {Name: "name", Type: FieldTypeString, Indexed: true, Comment: "用户名"}, {Name: "age", Type: FieldTypeInt64, Indexed: true, Comment: "年龄"}, {Name: "email", Type: FieldTypeString, Indexed: true, Comment: "邮箱"}, {Name: "description", Type: FieldTypeString, Indexed: false, Comment: "描述"}, }) // LogSchema 日志表 Schema var LogSchema = NewSchema("logs", []Field{ {Name: "level", Type: FieldTypeString, Indexed: true, Comment: "日志级别"}, {Name: "message", Type: FieldTypeString, Indexed: false, Comment: "日志消息"}, {Name: "source", Type: FieldTypeString, Indexed: true, Comment: "来源"}, {Name: "error_code", Type: FieldTypeInt64, Indexed: true, Comment: "错误码"}, }) // OrderSchema 订单表 Schema var OrderSchema = NewSchema("orders", []Field{ {Name: "order_id", Type: FieldTypeString, Indexed: true, Comment: "订单ID"}, {Name: "user_id", Type: FieldTypeInt64, Indexed: true, Comment: "用户ID"}, {Name: "amount", Type: FieldTypeFloat, Indexed: true, Comment: "金额"}, {Name: "status", Type: FieldTypeString, Indexed: true, Comment: "状态"}, {Name: "paid", Type: FieldTypeBool, Indexed: true, Comment: "是否支付"}, }) func TestSchema(t *testing.T) { // 创建 Schema schema := NewSchema("test", []Field{ {Name: "name", Type: FieldTypeString, Indexed: true, Comment: "名称"}, {Name: "age", Type: FieldTypeInt64, Indexed: true, Comment: "年龄"}, {Name: "score", Type: FieldTypeFloat, Indexed: false, Comment: "分数"}, }) // 测试数据 data := map[string]any{ "name": "Alice", "age": 25, "score": 95.5, } // 验证 err := schema.Validate(data) if err != nil { t.Errorf("Validation failed: %v", err) } // 获取索引字段 indexedFields := schema.GetIndexedFields() if len(indexedFields) != 2 { t.Errorf("Expected 2 indexed fields, got %d", len(indexedFields)) } t.Log("Schema test passed!") } func TestSchemaValidation(t *testing.T) { schema := NewSchema("test", []Field{ {Name: "name", Type: FieldTypeString, Indexed: true, Comment: "名称"}, {Name: "age", Type: FieldTypeInt64, Indexed: true, Comment: "年龄"}, }) // 正确的数据 validData := map[string]any{ "name": "Bob", "age": 30, } err := schema.Validate(validData) if err != nil { t.Errorf("Valid data failed validation: %v", err) } // 错误的数据类型 invalidData := map[string]any{ "name": "Charlie", "age": "thirty", // 应该是 int64 } err = schema.Validate(invalidData) if err == nil { t.Error("Invalid data should fail validation") } t.Log("Schema validation test passed!") } func TestExtractIndexValue(t *testing.T) { schema := NewSchema("test", []Field{ {Name: "name", Type: FieldTypeString, Indexed: true, Comment: "名称"}, {Name: "age", Type: FieldTypeInt64, Indexed: true, Comment: "年龄"}, }) data := map[string]any{ "name": "David", "age": float64(35), // JSON 解析后是 float64 } // 提取 name name, err := schema.ExtractIndexValue("name", data) if err != nil { t.Errorf("Failed to extract name: %v", err) } if name != "David" { t.Errorf("Expected 'David', got %v", name) } // 提取 age (float64 → int64) age, err := schema.ExtractIndexValue("age", data) if err != nil { t.Errorf("Failed to extract age: %v", err) } if age != int64(35) { t.Errorf("Expected 35, got %v", age) } t.Log("Extract index value test passed!") } func TestPredefinedSchemas(t *testing.T) { // 测试 UserSchema userData := map[string]any{ "name": "Alice", "age": 25, "email": "alice@example.com", "description": "Test user", } err := UserSchema.Validate(userData) if err != nil { t.Errorf("UserSchema validation failed: %v", err) } // 测试 LogSchema logData := map[string]any{ "level": "ERROR", "message": "Something went wrong", "source": "api", "error_code": 500, } err = LogSchema.Validate(logData) if err != nil { t.Errorf("LogSchema validation failed: %v", err) } t.Log("Predefined schemas test passed!") } // TestChecksumDeterminism 测试 checksum 的确定性 func TestChecksumDeterminism(t *testing.T) { // 创建相同的 Schema 多次 for i := range 10 { s1 := NewSchema("users", []Field{ {Name: "name", Type: FieldTypeString, Indexed: true, Comment: "用户名"}, {Name: "age", Type: FieldTypeInt64, Indexed: false, Comment: "年龄"}, }) s2 := NewSchema("users", []Field{ {Name: "name", Type: FieldTypeString, Indexed: true, Comment: "用户名"}, {Name: "age", Type: FieldTypeInt64, Indexed: false, Comment: "年龄"}, }) checksum1, err := s1.ComputeChecksum() if err != nil { t.Fatal(err) } checksum2, err := s2.ComputeChecksum() if err != nil { t.Fatal(err) } if checksum1 != checksum2 { t.Errorf("Iteration %d: checksums should be equal, got %s and %s", i, checksum1, checksum2) } } t.Log("✅ Checksum is deterministic") } // TestChecksumFieldOrderIndependent 测试字段顺序不影响 checksum func TestChecksumFieldOrderIndependent(t *testing.T) { s1 := NewSchema("users", []Field{ {Name: "name", Type: FieldTypeString, Indexed: true, Comment: "用户名"}, {Name: "age", Type: FieldTypeInt64, Indexed: false, Comment: "年龄"}, }) s2 := NewSchema("users", []Field{ {Name: "age", Type: FieldTypeInt64, Indexed: false, Comment: "年龄"}, {Name: "name", Type: FieldTypeString, Indexed: true, Comment: "用户名"}, }) checksum1, _ := s1.ComputeChecksum() checksum2, _ := s2.ComputeChecksum() if checksum1 != checksum2 { t.Errorf("Checksums should be equal regardless of field order, got %s and %s", checksum1, checksum2) } else { t.Logf("✅ Field order does not affect checksum (expected behavior)") t.Logf(" checksum: %s", checksum1) } } // TestChecksumDifferentData 测试不同 Schema 的 checksum 应该不同 func TestChecksumDifferentData(t *testing.T) { s1 := NewSchema("users", []Field{ {Name: "name", Type: FieldTypeString, Indexed: true, Comment: "用户名"}, }) s2 := NewSchema("users", []Field{ {Name: "name", Type: FieldTypeString, Indexed: false, Comment: "用户名"}, // Indexed 不同 }) checksum1, _ := s1.ComputeChecksum() checksum2, _ := s2.ComputeChecksum() if checksum1 == checksum2 { t.Error("Different schemas should have different checksums") } else { t.Log("✅ Different schemas have different checksums") } } // TestChecksumMultipleFieldOrders 测试多个字段的各种排列组合都产生相同 checksum func TestChecksumMultipleFieldOrders(t *testing.T) { // 定义 4 个字段 fieldA := Field{Name: "id", Type: FieldTypeInt64, Indexed: true, Comment: "ID"} fieldB := Field{Name: "name", Type: FieldTypeString, Indexed: false, Comment: "名称"} fieldC := Field{Name: "age", Type: FieldTypeInt64, Indexed: false, Comment: "年龄"} fieldD := Field{Name: "email", Type: FieldTypeString, Indexed: true, Comment: "邮箱"} // 创建不同顺序的 Schema schemas := []*Schema{ NewSchema("test", []Field{fieldA, fieldB, fieldC, fieldD}), // 原始顺序 NewSchema("test", []Field{fieldD, fieldC, fieldB, fieldA}), // 完全反转 NewSchema("test", []Field{fieldB, fieldD, fieldA, fieldC}), // 随机顺序 1 NewSchema("test", []Field{fieldC, fieldA, fieldD, fieldB}), // 随机顺序 2 NewSchema("test", []Field{fieldD, fieldA, fieldC, fieldB}), // 随机顺序 3 } // 计算所有 checksum checksums := make([]string, len(schemas)) for i, s := range schemas { checksum, err := s.ComputeChecksum() if err != nil { t.Fatalf("Failed to compute checksum for schema %d: %v", i, err) } checksums[i] = checksum } // 验证所有 checksum 都相同 expectedChecksum := checksums[0] for i := 1; i < len(checksums); i++ { if checksums[i] != expectedChecksum { t.Errorf("Schema %d has different checksum: expected %s, got %s", i, expectedChecksum, checksums[i]) } } t.Logf("✅ All %d field permutations produce the same checksum", len(schemas)) t.Logf(" checksum: %s", expectedChecksum) } // TestStructToFields 测试从结构体生成 Field 列表 func TestStructToFields(t *testing.T) { // 定义测试结构体 type User struct { Name string `srdb:"name;indexed;comment:用户名"` Age int64 `srdb:"age;comment:年龄"` Email string `srdb:"email;indexed;comment:邮箱"` Score float64 `srdb:"score;comment:分数"` Active bool `srdb:"active;comment:是否激活"` } // 生成 Field 列表 fields, err := StructToFields(User{}) if err != nil { t.Fatalf("StructToFields failed: %v", err) } // 验证字段数量 if len(fields) != 5 { t.Errorf("Expected 5 fields, got %d", len(fields)) } // 验证每个字段 expectedFields := map[string]struct { Type FieldType Indexed bool Comment string }{ "name": {FieldTypeString, true, "用户名"}, "age": {FieldTypeInt64, false, "年龄"}, "email": {FieldTypeString, true, "邮箱"}, "score": {FieldTypeFloat, false, "分数"}, "active": {FieldTypeBool, false, "是否激活"}, } for _, field := range fields { expected, exists := expectedFields[field.Name] if !exists { t.Errorf("Unexpected field: %s", field.Name) continue } if field.Type != expected.Type { t.Errorf("Field %s: expected type %v, got %v", field.Name, expected.Type, field.Type) } if field.Indexed != expected.Indexed { t.Errorf("Field %s: expected indexed=%v, got %v", field.Name, expected.Indexed, field.Indexed) } if field.Comment != expected.Comment { t.Errorf("Field %s: expected comment=%s, got %s", field.Name, expected.Comment, field.Comment) } } t.Log("✓ StructToFields basic test passed") } // TestStructToFieldsDefaultName 测试默认字段名 (snake_case) func TestStructToFieldsDefaultName(t *testing.T) { type Product struct { ProductName string // 没有 tag,应该使用 snake_case: product_name Price int64 // 没有 tag,应该使用 snake_case: price } fields, err := StructToFields(Product{}) if err != nil { t.Fatalf("StructToFields failed: %v", err) } if len(fields) != 2 { t.Errorf("Expected 2 fields, got %d", len(fields)) } // 验证默认字段名(snake_case) if fields[0].Name != "product_name" { t.Errorf("Expected field name 'product_name', got '%s'", fields[0].Name) } if fields[1].Name != "price" { t.Errorf("Expected field name 'price', got '%s'", fields[1].Name) } t.Log("✓ Default field name (snake_case) test passed") } // TestStructToFieldsIgnore 测试忽略字段 func TestStructToFieldsIgnore(t *testing.T) { type Order struct { OrderID string `srdb:"order_id;comment:订单ID"` Internal string `srdb:"-"` // 应该被忽略 CreatedAt int64 `srdb:"created_at;comment:创建时间"` } fields, err := StructToFields(Order{}) if err != nil { t.Fatalf("StructToFields failed: %v", err) } // 应该只有 2 个字段(Internal 被忽略) if len(fields) != 2 { t.Errorf("Expected 2 fields (excluding ignored field), got %d", len(fields)) } // 验证没有 Internal 字段 for _, field := range fields { if field.Name == "internal" || field.Name == "Internal" { t.Errorf("Field 'Internal' should have been ignored") } } t.Log("✓ Ignore field test passed") } // TestStructToFieldsPointer 测试指针类型 func TestStructToFieldsPointer(t *testing.T) { type Item struct { Name string `srdb:"name;comment:名称"` } // 使用指针 fields, err := StructToFields(&Item{}) if err != nil { t.Fatalf("StructToFields with pointer failed: %v", err) } if len(fields) != 1 { t.Errorf("Expected 1 field, got %d", len(fields)) } if fields[0].Name != "name" { t.Errorf("Expected field name 'name', got '%s'", fields[0].Name) } t.Log("✓ Pointer type test passed") } // TestStructToFieldsAllTypes 测试所有支持的类型 func TestStructToFieldsAllTypes(t *testing.T) { type AllTypes struct { Int int `srdb:"int"` Int64 int64 `srdb:"int64"` Int32 int32 `srdb:"int32"` Int16 int16 `srdb:"int16"` Int8 int8 `srdb:"int8"` Uint uint `srdb:"uint"` Uint64 uint64 `srdb:"uint64"` Uint32 uint32 `srdb:"uint32"` Uint16 uint16 `srdb:"uint16"` Uint8 uint8 `srdb:"uint8"` String string `srdb:"string"` Float64 float64 `srdb:"float64"` Float32 float32 `srdb:"float32"` Bool bool `srdb:"bool"` } fields, err := StructToFields(AllTypes{}) if err != nil { t.Fatalf("StructToFields failed: %v", err) } if len(fields) != 14 { t.Errorf("Expected 14 fields, got %d", len(fields)) } // 验证所有整数类型都映射到 FieldTypeInt64 intFields := []string{"int", "int64", "int32", "int16", "int8", "uint", "uint64", "uint32", "uint16", "uint8"} for _, name := range intFields { found := false for _, field := range fields { if field.Name == name { found = true if field.Type != FieldTypeInt64 { t.Errorf("Field %s: expected FieldTypeInt64, got %v", name, field.Type) } break } } if !found { t.Errorf("Field %s not found", name) } } // 验证浮点类型 for _, field := range fields { if field.Name == "float64" || field.Name == "float32" { if field.Type != FieldTypeFloat { t.Errorf("Field %s: expected FieldTypeFloat, got %v", field.Name, field.Type) } } } t.Log("✓ All types test passed") } // TestStructToFieldsWithSchema 测试完整的使用流程 func TestStructToFieldsWithSchema(t *testing.T) { // 定义结构体 type Customer struct { CustomerID string `srdb:"customer_id;indexed;comment:客户ID"` Name string `srdb:"name;comment:客户名称"` Email string `srdb:"email;indexed;comment:邮箱"` Balance int64 `srdb:"balance;comment:余额"` } // 生成 Field 列表 fields, err := StructToFields(Customer{}) if err != nil { t.Fatalf("StructToFields failed: %v", err) } // 创建 Schema schema := NewSchema("customers", fields) // 验证 Schema if schema.Name != "customers" { t.Errorf("Expected schema name 'customers', got '%s'", schema.Name) } if len(schema.Fields) != 4 { t.Errorf("Expected 4 fields in schema, got %d", len(schema.Fields)) } // 验证索引字段 indexedFields := schema.GetIndexedFields() if len(indexedFields) != 2 { t.Errorf("Expected 2 indexed fields, got %d", len(indexedFields)) } // 测试数据验证 validData := map[string]any{ "customer_id": "C001", "name": "张三", "email": "zhangsan@example.com", "balance": int64(1000), } err = schema.Validate(validData) if err != nil { t.Errorf("Valid data should pass validation: %v", err) } // 测试无效数据 invalidData := map[string]any{ "customer_id": "C002", "name": "李四", "email": 123, // 错误类型 "balance": int64(2000), } err = schema.Validate(invalidData) if err == nil { t.Error("Invalid data should fail validation") } t.Log("✓ Complete workflow test passed") } // TestStructToFieldsTagVariations 测试各种 tag 组合 func TestStructToFieldsTagVariations(t *testing.T) { type TestStruct struct { // 只有字段名 Field1 string `srdb:"field1"` // 字段名 + indexed Field2 string `srdb:"field2;indexed"` // 字段名 + comment Field3 string `srdb:"field3;comment:字段3"` // 完整格式 Field4 string `srdb:"field4;indexed;comment:字段4"` // 只有 indexed(使用默认字段名) Field5 string `srdb:";indexed"` // 只有 comment(使用默认字段名) Field6 string `srdb:";comment:字段6"` // 空 tag(使用默认字段名) Field7 string // indexed + comment(使用默认字段名) Field8 string `srdb:";indexed;comment:字段8"` } fields, err := StructToFields(TestStruct{}) if err != nil { t.Fatalf("StructToFields failed: %v", err) } if len(fields) != 8 { t.Errorf("Expected 8 fields, got %d", len(fields)) } // 验证各个字段 tests := []struct { name string indexed bool comment string }{ {"field1", false, ""}, {"field2", true, ""}, {"field3", false, "字段3"}, {"field4", true, "字段4"}, {"field5", true, ""}, {"field6", false, "字段6"}, {"field7", false, ""}, {"field8", true, "字段8"}, } for i, test := range tests { if fields[i].Name != test.name { t.Errorf("Field %d: expected name %s, got %s", i+1, test.name, fields[i].Name) } if fields[i].Indexed != test.indexed { t.Errorf("Field %s: expected indexed=%v, got %v", test.name, test.indexed, fields[i].Indexed) } if fields[i].Comment != test.comment { t.Errorf("Field %s: expected comment=%s, got %s", test.name, test.comment, fields[i].Comment) } } t.Log("✓ Tag variations test passed") } // TestStructToFieldsErrors 测试错误情况 func TestStructToFieldsErrors(t *testing.T) { // 测试非结构体类型 _, err := StructToFields("not a struct") if err == nil { t.Error("Expected error for non-struct type") } // 测试 nil _, err = StructToFields(nil) if err == nil { t.Error("Expected error for nil") } // 测试没有导出字段的结构体 type Empty struct { private string // 未导出 } _, err = StructToFields(Empty{}) if err == nil { t.Error("Expected error for struct with no exported fields") } t.Log("✓ Error handling test passed") } // TestCamelToSnake 测试驼峰命名转 snake_case func TestCamelToSnake(t *testing.T) { tests := []struct { input string expected string }{ // 基本测试 {"UserName", "user_name"}, {"EmailAddress", "email_address"}, {"IsActive", "is_active"}, // 单个单词 {"Name", "name"}, {"ID", "id"}, // 连续大写字母 {"HTTPServer", "http_server"}, {"XMLParser", "xml_parser"}, {"HTMLContent", "html_content"}, {"URLPath", "url_path"}, // 带数字 {"User2Name", "user2_name"}, {"Address1", "address1"}, // 全小写 {"username", "username"}, // 全大写 {"HTTP", "http"}, {"API", "api"}, // 混合情况 {"getUserByID", "get_user_by_id"}, {"HTTPSConnection", "https_connection"}, {"createHTMLFile", "create_html_file"}, // 边界情况 {"A", "a"}, {"AB", "ab"}, {"AbC", "ab_c"}, } for _, test := range tests { result := camelToSnake(test.input) if result != test.expected { t.Errorf("camelToSnake(%q) = %q, expected %q", test.input, result, test.expected) } } t.Log("✓ camelToSnake test passed") } // TestStructToFieldsSnakeCase 测试默认使用 snake_case func TestStructToFieldsSnakeCase(t *testing.T) { type User struct { UserName string // 应该转为 user_name EmailAddress string // 应该转为 email_address IsActive bool // 应该转为 is_active HTTPEndpoint string // 应该转为 http_endpoint ID int64 // 应该转为 id } fields, err := StructToFields(User{}) if err != nil { t.Fatalf("StructToFields failed: %v", err) } expected := []string{"user_name", "email_address", "is_active", "http_endpoint", "id"} if len(fields) != len(expected) { t.Fatalf("Expected %d fields, got %d", len(expected), len(fields)) } for i, exp := range expected { if fields[i].Name != exp { t.Errorf("Field %d: expected name %s, got %s", i, exp, fields[i].Name) } } t.Log("✓ Default snake_case test passed") } // TestStructToFieldsOverrideSnakeCase 测试可以覆盖默认 snake_case func TestStructToFieldsOverrideSnakeCase(t *testing.T) { type User struct { UserName string `srdb:"username"` // 覆盖默认的 user_name IsActive bool `srdb:"active;comment:激活"` // 覆盖默认的 is_active } fields, err := StructToFields(User{}) if err != nil { t.Fatalf("StructToFields failed: %v", err) } if len(fields) != 2 { t.Fatalf("Expected 2 fields, got %d", len(fields)) } // 验证覆盖成功 if fields[0].Name != "username" { t.Errorf("Expected field name 'username', got '%s'", fields[0].Name) } if fields[1].Name != "active" { t.Errorf("Expected field name 'active', got '%s'", fields[1].Name) } t.Log("✓ Override snake_case test passed") }