hoteas
3430bdec19
- 在 ApiCase 中添加失败原因记录，提升测试结果的可读性 - 更新 CoverageReport 结构，增加总用例、通过用例和失败用例计数 - 优化 PrintCoverage 方法，支持详细输出未通过接口及其失败原因 - 更新 Swagger 生成逻辑，包含失败原因字段，增强调试信息 - 改进 SQL 错误计数逻辑，确保在测试模式下准确记录 SQL 错误
616 lines
16 KiB
Go
616 lines
16 KiB
Go
package db
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import (
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"database/sql"
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"encoding/json"
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"errors"
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"fmt"
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"math"
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"reflect"
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"strconv"
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"strings"
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"sync/atomic"
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"time"
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. "code.hoteas.com/golang/hotime/common"
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)
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// md5 生成查询的 MD5 哈希（用于缓存）
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func (that *HoTimeDB) md5(query string, args ...interface{}) string {
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strByte, _ := json.Marshal(args)
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str := Md5(query + ":" + string(strByte))
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return str
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}
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// Query 执行查询 SQL
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func (that *HoTimeDB) Query(query string, args ...interface{}) []Map {
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return that.queryWithRetry(query, false, args...)
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}
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// queryWithRetry 内部查询方法，支持重试标记
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func (that *HoTimeDB) queryWithRetry(query string, retried bool, args ...interface{}) []Map {
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query, args = that.expandArrayPlaceholder(query, args)
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var sqlErr error
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defer func() {
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e := &DBError{Query: query, Data: args}
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e.SetError(sqlErr)
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that.lastError.Store(e)
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that.logSQL(query, args, sqlErr)
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}()
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var resl *sql.Rows
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db := that.DB
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if that.SlaveDB != nil {
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db = that.SlaveDB
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}
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if db == nil {
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sqlErr = errors.New("没有初始化数据库")
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return nil
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}
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processedArgs := that.processArgs(args)
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if that.testTx != nil {
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if that.testMu != nil {
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that.testMu.Lock()
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}
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resl, sqlErr = that.testTx.Query(query, processedArgs...)
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if sqlErr != nil {
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if that.txFailed != nil {
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*that.txFailed = true
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}
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if that.testMu != nil {
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that.testMu.Unlock()
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}
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return nil
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}
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result := that.Row(resl)
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if that.testMu != nil {
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that.testMu.Unlock()
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}
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return result
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} else if that.Tx != nil {
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resl, sqlErr = that.Tx.Query(query, processedArgs...)
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} else {
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resl, sqlErr = db.Query(query, processedArgs...)
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}
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if sqlErr != nil {
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if that.Tx != nil {
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if that.txFailed != nil {
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*that.txFailed = true
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}
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}
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if !retried && that.Tx == nil {
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if pingErr := db.Ping(); pingErr == nil {
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sqlErr = nil // 重置，让 retry 的 defer 覆盖
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return that.queryWithRetry(query, true, args...)
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}
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}
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return nil
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}
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return that.Row(resl)
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}
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// Exec 执行非查询 SQL
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func (that *HoTimeDB) Exec(query string, args ...interface{}) (sql.Result, error) {
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return that.execWithRetry(query, false, args...)
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}
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// execWithRetry 内部执行方法，支持重试标记
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func (that *HoTimeDB) execWithRetry(query string, retried bool, args ...interface{}) (sql.Result, error) {
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query, args = that.expandArrayPlaceholder(query, args)
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var sqlErr error
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var resl sql.Result
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defer func() {
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e := &DBError{Query: query, Data: args}
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e.SetError(sqlErr)
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that.lastError.Store(e)
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that.logSQL(query, args, sqlErr)
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}()
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if that.DB == nil {
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sqlErr = errors.New("没有初始化数据库")
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return nil, sqlErr
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}
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processedArgs := that.processArgs(args)
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if that.testTx != nil {
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if that.testMu != nil {
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that.testMu.Lock()
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}
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resl, sqlErr = that.testTx.Exec(query, processedArgs...)
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if that.testMu != nil {
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that.testMu.Unlock()
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}
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} else if that.Tx != nil {
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resl, sqlErr = that.Tx.Exec(query, processedArgs...)
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} else {
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resl, sqlErr = that.DB.Exec(query, processedArgs...)
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}
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if sqlErr != nil {
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if that.testTx != nil {
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if that.txFailed != nil {
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*that.txFailed = true
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}
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return resl, sqlErr
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}
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if that.Tx != nil {
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if that.txFailed != nil {
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*that.txFailed = true
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}
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return resl, sqlErr
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}
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if !retried {
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if pingErr := that.DB.Ping(); pingErr == nil {
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sqlErr = nil
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return that.execWithRetry(query, true, args...)
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}
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}
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return resl, sqlErr
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}
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return resl, sqlErr
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}
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// logSQL 统一 SQL 日志输出（仅此一处打印，消除重复）
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func (that *HoTimeDB) logSQL(query string, args []interface{}, err error) {
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if err != nil {
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msg := fmt.Sprintf("SQL: %s DATA: %v ERROR: %v", query, args, err)
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that.testLogBufMu.Lock()
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if that.testLogBuf != nil {
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that.testLogBuf.WriteString(msg + "\n")
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atomic.AddInt32(&that.testSQLErrCount, 1)
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} else if that.Log != nil {
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that.Log.Error().Msg(msg)
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}
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that.testLogBufMu.Unlock()
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return
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}
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// 无错误时只在 logLevel > 0 时打印 DEBUG 级别
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if that.Log != nil && that.Log.GetLevel() > 0 {
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msg := fmt.Sprintf("SQL: %s DATA: %v", query, args)
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that.testLogBufMu.Lock()
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if that.testLogBuf != nil {
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that.testLogBuf.WriteString(msg + "\n")
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} else {
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that.Log.Debug().Msg(msg)
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}
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that.testLogBufMu.Unlock()
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}
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}
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// processArgs 处理参数中的 slice 类型
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func (that *HoTimeDB) processArgs(args []interface{}) []interface{} {
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processedArgs := make([]interface{}, len(args))
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copy(processedArgs, args)
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for key := range processedArgs {
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arg := processedArgs[key]
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if arg == nil {
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continue
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}
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argType := reflect.ValueOf(arg).Type().String()
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if strings.Contains(argType, "[]") || strings.Contains(argType, "Slice") {
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argLis := ObjToSlice(arg)
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// 将slice转为逗号分割字符串
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argStr := ""
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for i := 0; i < len(argLis); i++ {
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if i == len(argLis)-1 {
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argStr += ObjToStr(argLis[i])
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} else {
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argStr += ObjToStr(argLis[i]) + ","
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}
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}
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processedArgs[key] = argStr
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}
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}
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return processedArgs
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}
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// expandArrayPlaceholder 展开 IN (?) / NOT IN (?) 中的数组参数
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// 自动识别 IN/NOT IN (?) 模式，当参数是数组时展开为多个 ?
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//
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// 示例:
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//
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// db.Query("SELECT * FROM user WHERE id IN (?)", []int{1, 2, 3})
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// // 展开为: SELECT * FROM user WHERE id IN (?, ?, ?) 参数: [1, 2, 3]
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//
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// db.Query("SELECT * FROM user WHERE id IN (?)", []int{})
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// // 展开为: SELECT * FROM user WHERE 1=0 参数: [] (空集合的IN永假)
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//
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// db.Query("SELECT * FROM user WHERE id NOT IN (?)", []int{})
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// // 展开为: SELECT * FROM user WHERE 1=1 参数: [] (空集合的NOT IN永真)
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//
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// db.Query("SELECT * FROM user WHERE id = ?", 1)
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// // 保持不变: SELECT * FROM user WHERE id = ? 参数: [1]
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func (that *HoTimeDB) expandArrayPlaceholder(query string, args []interface{}) (string, []interface{}) {
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if len(args) == 0 || !strings.Contains(query, "?") {
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return query, args
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}
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// 检查是否有数组参数
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hasArray := false
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for _, arg := range args {
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if arg == nil {
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continue
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}
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argType := reflect.ValueOf(arg).Type().String()
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if strings.Contains(argType, "[]") || strings.Contains(argType, "Slice") {
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hasArray = true
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break
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}
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}
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if !hasArray {
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return query, args
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}
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newArgs := make([]interface{}, 0, len(args))
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result := strings.Builder{}
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argIndex := 0
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for i := 0; i < len(query); i++ {
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if query[i] == '?' && argIndex < len(args) {
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arg := args[argIndex]
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argIndex++
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if arg == nil {
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result.WriteByte('?')
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newArgs = append(newArgs, nil)
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continue
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}
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argType := reflect.ValueOf(arg).Type().String()
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if strings.Contains(argType, "[]") || strings.Contains(argType, "Slice") {
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// 是数组参数，检查是否在 IN (...) 或 NOT IN (...) 中
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prevPart := result.String()
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prevUpper := strings.ToUpper(prevPart)
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// 查找最近的 NOT IN ( 模式
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notInIndex := strings.LastIndex(prevUpper, " NOT IN (")
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notInIndex2 := strings.LastIndex(prevUpper, " NOT IN(")
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if notInIndex2 > notInIndex {
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notInIndex = notInIndex2
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}
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// 查找最近的 IN ( 模式（但要排除 NOT IN 的情况）
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inIndex := strings.LastIndex(prevUpper, " IN (")
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inIndex2 := strings.LastIndex(prevUpper, " IN(")
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if inIndex2 > inIndex {
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inIndex = inIndex2
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}
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// 判断是 NOT IN 还是 IN
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// 注意：" NOT IN (" 包含 " IN ("，所以如果找到的 IN 位置在 NOT IN 范围内，应该优先判断为 NOT IN
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isNotIn := false
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matchIndex := -1
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if notInIndex != -1 {
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// 检查 inIndex 是否在 notInIndex 范围内（即 NOT IN 的 IN 部分）
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// NOT IN ( 的 IN ( 部分从 notInIndex + 4 开始
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if inIndex != -1 && inIndex >= notInIndex && inIndex <= notInIndex+5 {
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// inIndex 是 NOT IN 的一部分，使用 NOT IN
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isNotIn = true
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matchIndex = notInIndex
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} else if inIndex == -1 || notInIndex > inIndex {
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// 没有独立的 IN，或 NOT IN 在 IN 之后
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isNotIn = true
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matchIndex = notInIndex
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} else {
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// 有独立的 IN 且在 NOT IN 之后
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matchIndex = inIndex
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}
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} else if inIndex != -1 {
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matchIndex = inIndex
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}
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// 检查 IN ( 后面是否只有空格（即当前 ? 紧跟在 IN ( 后面）
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isInPattern := false
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if matchIndex != -1 {
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afterIn := prevPart[matchIndex:]
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// 找到 ( 的位置
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parenIdx := strings.Index(afterIn, "(")
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if parenIdx != -1 {
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afterParen := strings.TrimSpace(afterIn[parenIdx+1:])
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if afterParen == "" {
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isInPattern = true
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}
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}
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}
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if isInPattern {
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// 在 IN (...) 或 NOT IN (...) 模式中
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argList := ObjToSlice(arg)
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if len(argList) == 0 {
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// 空数组处理：需要找到字段名的开始位置
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// 往前找最近的 AND/OR/WHERE/(，以确定条件的开始位置
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truncateIndex := matchIndex
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searchPart := prevUpper[:matchIndex]
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// 找最近的分隔符位置
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andIdx := strings.LastIndex(searchPart, " AND ")
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orIdx := strings.LastIndex(searchPart, " OR ")
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whereIdx := strings.LastIndex(searchPart, " WHERE ")
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parenIdx := strings.LastIndex(searchPart, "(")
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// 取最靠后的分隔符
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sepIndex := -1
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sepLen := 0
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if andIdx > sepIndex {
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sepIndex = andIdx
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sepLen = 5 // " AND "
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}
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if orIdx > sepIndex {
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sepIndex = orIdx
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sepLen = 4 // " OR "
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}
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if whereIdx > sepIndex {
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sepIndex = whereIdx
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sepLen = 7 // " WHERE "
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}
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if parenIdx > sepIndex {
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sepIndex = parenIdx
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sepLen = 1 // "("
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}
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if sepIndex != -1 {
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truncateIndex = sepIndex + sepLen
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}
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result.Reset()
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result.WriteString(prevPart[:truncateIndex])
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if isNotIn {
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// NOT IN 空集合 = 永真
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result.WriteString(" 1=1 ")
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} else {
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// IN 空集合 = 永假
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result.WriteString(" 1=0 ")
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}
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// 跳过后面的 )
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for j := i + 1; j < len(query); j++ {
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if query[j] == ')' {
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i = j
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break
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}
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}
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} else if len(argList) == 1 {
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// 单元素数组
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result.WriteByte('?')
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newArgs = append(newArgs, argList[0])
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} else {
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// 多元素数组，展开为多个 ?
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for j := 0; j < len(argList); j++ {
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if j > 0 {
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result.WriteString(", ")
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}
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result.WriteByte('?')
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newArgs = append(newArgs, argList[j])
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}
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}
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} else {
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// 不在 IN 模式中，保持原有行为（数组会被 processArgs 转为逗号字符串）
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result.WriteByte('?')
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newArgs = append(newArgs, arg)
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}
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} else {
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// 非数组参数
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result.WriteByte('?')
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newArgs = append(newArgs, arg)
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}
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} else {
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result.WriteByte(query[i])
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}
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}
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return result.String(), newArgs
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}
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const (
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dbTypeUnknown = iota
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dbTypeInteger
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dbTypeFloat
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dbTypeDecimal
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)
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// classifyDBType 将数据库类型名分类，覆盖 MySQL/SQLite/PostgreSQL
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func classifyDBType(typeName string) int {
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t := strings.ToUpper(strings.TrimSpace(typeName))
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t = strings.TrimSuffix(strings.TrimSuffix(t, " UNSIGNED"), " SIGNED")
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t = strings.TrimSpace(t)
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base := t
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if idx := strings.IndexByte(t, '('); idx > 0 {
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base = t[:idx]
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}
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switch base {
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case "INT", "INTEGER", "BIGINT", "TINYINT", "SMALLINT", "MEDIUMINT",
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"INT2", "INT4", "INT8",
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"SERIAL", "BIGSERIAL", "SMALLSERIAL",
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"YEAR", "BOOL", "BOOLEAN", "OID":
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return dbTypeInteger
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case "DECIMAL", "NUMERIC", "NEWDECIMAL", "NUMBER":
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return dbTypeDecimal
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case "FLOAT", "DOUBLE", "REAL", "FLOAT4", "FLOAT8", "DOUBLE PRECISION":
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return dbTypeFloat
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}
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if strings.Contains(base, "INT") {
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return dbTypeInteger
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}
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if strings.Contains(base, "DECIMAL") || strings.Contains(base, "NUMERIC") {
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return dbTypeDecimal
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}
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if strings.Contains(base, "DOUBLE") || strings.Contains(base, "FLOAT") {
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return dbTypeFloat
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}
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return dbTypeUnknown
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}
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// getDecimalScale 提取 DECIMAL/NUMERIC 精度，失败返回 -1
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func getDecimalScale(colType *sql.ColumnType, typeName string) int {
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_, scale, ok := colType.DecimalSize()
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if ok && scale >= 0 {
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return int(scale)
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}
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// SQLite 不支持 DecimalSize，从类型名解析 "DECIMAL(10,2)" → 2
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upper := strings.ToUpper(typeName)
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if idx := strings.Index(upper, ","); idx > 0 {
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rest := upper[idx+1:]
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if end := strings.IndexByte(rest, ')'); end > 0 {
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if s, err := strconv.Atoi(strings.TrimSpace(rest[:end])); err == nil {
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return s
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}
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}
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}
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return -1
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}
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// getFloatScale 提取 FLOAT/DOUBLE 显式精度，无显式精度返回 -1 表示不截断
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func getFloatScale(colType *sql.ColumnType, typeName string) int {
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_, scale, ok := colType.DecimalSize()
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if ok && scale > 0 && scale < 20 {
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return int(scale)
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}
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return -1
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}
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// fixFloatValue 对 float64 值做类型感知精度修正
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func fixFloatValue(f float64, category int, scale int) interface{} {
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if math.IsNaN(f) || math.IsInf(f, 0) {
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return float64(0)
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}
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switch category {
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case dbTypeInteger:
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return int64(math.Round(f))
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case dbTypeDecimal:
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return roundFloat(f, scale)
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case dbTypeFloat:
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return roundFloat(f, scale)
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default:
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return f
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}
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}
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// roundFloat 使用 strconv 精确舍入，避免 f*pow 中间值产生精度误差
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func roundFloat(f float64, scale int) interface{} {
|
|
if math.IsNaN(f) || math.IsInf(f, 0) {
|
|
return float64(0)
|
|
}
|
|
if scale == 0 {
|
|
// DECIMAL(10,0) 明确是整数
|
|
return math.Round(f)
|
|
}
|
|
if scale < 0 {
|
|
// 精度未知，不修正，原样返回
|
|
return f
|
|
}
|
|
s := strconv.FormatFloat(f, 'f', scale, 64)
|
|
v, err := strconv.ParseFloat(s, 64)
|
|
if err != nil {
|
|
return f
|
|
}
|
|
return v
|
|
}
|
|
|
|
// convertBytes 对 []byte 类型的列做类型感知解析
|
|
// MySQL 文本协议和 PG 的 DECIMAL/NUMERIC 以 []byte 返回，需要按列类型解析为正确 Go 类型
|
|
func convertBytes(raw []byte, category int, scale int) interface{} {
|
|
s := string(raw)
|
|
switch category {
|
|
case dbTypeInteger:
|
|
if n, err := strconv.ParseInt(s, 10, 64); err == nil {
|
|
return n
|
|
}
|
|
if f, err := strconv.ParseFloat(s, 64); err == nil {
|
|
return int64(math.Round(f))
|
|
}
|
|
return s
|
|
case dbTypeDecimal:
|
|
if f, err := strconv.ParseFloat(s, 64); err == nil {
|
|
return roundFloat(f, scale)
|
|
}
|
|
return s
|
|
case dbTypeFloat:
|
|
if f, err := strconv.ParseFloat(s, 64); err == nil {
|
|
return roundFloat(f, scale)
|
|
}
|
|
return s
|
|
default:
|
|
return s
|
|
}
|
|
}
|
|
|
|
// Row 数据库数据解析
|
|
func (that *HoTimeDB) Row(resl *sql.Rows) []Map {
|
|
defer resl.Close()
|
|
|
|
dest := make([]Map, 0)
|
|
strs, _ := resl.Columns()
|
|
colTypes, _ := resl.ColumnTypes()
|
|
|
|
colCount := len(strs)
|
|
categories := make([]int, colCount)
|
|
scales := make([]int, colCount)
|
|
if colTypes != nil {
|
|
for j := 0; j < len(colTypes) && j < colCount; j++ {
|
|
typeName := colTypes[j].DatabaseTypeName()
|
|
categories[j] = classifyDBType(typeName)
|
|
switch categories[j] {
|
|
case dbTypeDecimal:
|
|
scales[j] = getDecimalScale(colTypes[j], typeName)
|
|
case dbTypeFloat:
|
|
scales[j] = getFloatScale(colTypes[j], typeName)
|
|
}
|
|
}
|
|
}
|
|
|
|
for resl.Next() {
|
|
lis := make(Map, colCount)
|
|
a := make([]interface{}, colCount)
|
|
b := make([]interface{}, colCount)
|
|
for j := 0; j < colCount; j++ {
|
|
b[j] = &a[j]
|
|
}
|
|
if err := resl.Scan(b...); err != nil {
|
|
dbErr := &DBError{}
|
|
dbErr.SetError(err)
|
|
that.lastError.Store(dbErr)
|
|
return nil
|
|
}
|
|
for j := 0; j < colCount; j++ {
|
|
colKey := strs[j]
|
|
val := a[j]
|
|
if val == nil {
|
|
lis[colKey] = nil
|
|
continue
|
|
}
|
|
switch v := val.(type) {
|
|
case []byte:
|
|
lis[colKey] = convertBytes(v, categories[j], scales[j])
|
|
case float64:
|
|
lis[colKey] = fixFloatValue(v, categories[j], scales[j])
|
|
case float32:
|
|
lis[colKey] = fixFloatValue(float64(v), categories[j], scales[j])
|
|
case time.Time:
|
|
// DM8驱动直接返回time.Time，格式化为MySQL兼容字符串
|
|
lis[colKey] = v.Format("2006-01-02 15:04:05")
|
|
default:
|
|
lis[colKey] = val
|
|
}
|
|
}
|
|
|
|
dest = append(dest, lis)
|
|
}
|
|
if err := resl.Err(); err != nil {
|
|
dbErr := &DBError{}
|
|
dbErr.SetError(err)
|
|
that.lastError.Store(dbErr)
|
|
}
|
|
return dest
|
|
}
|