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Author SHA1 Message Date
f4760c5d3e refactor(log): 优化日志调用栈查找逻辑
- 添加最大框架层数限制防止误过滤应用层
- 新增 isHoTimeFrameworkFile 函数精确识别框架文件
- 实现更准确的框架文件过滤机制
- 替换原有的简单前缀匹配为复合条件判断
- 添加框架核心目录和文件的精确匹配规则
- 改进调用栈遍历算法提高查找准确性
2026-01-23 02:47:22 +08:00
d1b905b780 test(db): 添加 OR 条件处理的单元测试并修复 WHERE 子句逻辑
- 添加了 TestWhereWithORCondition 测试函数验证 OR 条件的括号包裹
- 修复了 where.go 中条件计数变量名称从 normalCondCount 改为 condCount
- 实现了 OR/AND 组条件的括号包裹逻辑确保 SQL 语法正确
- 添加了空条件检查避免生成无效的 SQL 片段
- 更新了 .gitignore 文件添加日志文件忽略规则
2026-01-23 01:51:35 +08:00
8dac2aff66 docs(guides): 完善框架文档并新增代码生成器说明
- 添加代码生成器完整使用说明文档,包含配置规则和自定义规则
- 新增 Common 工具类使用说明,介绍 Map/Slice/Obj 类型及转换函数
- 更新 QUICKSTART 文档中的配置项说明和数据库配置示例
- 完善请求参数获取方法,添加新版链式调用推荐用法
- 更新响应数据处理说明,包含错误码含义和自定义响应方法
- 优化中间件和 Session 操作的代码示例
- 修正路由路径参数获取的安全检查逻辑
- 更新 README 添加新文档链接索引
2026-01-22 22:13:05 +08:00
cf64276ab1 refactor(db): 重命名批量插入方法并更新文档
- 将 BatchInsert 方法重命名为 Inserts,以更好地反映其功能
- 更新示例代码和文档,确保使用新方法名
- 删除过时的文档文件,整合 HoTimeDB 使用说明和 API 参考
- 优化 README.md,增强框架特性和安装说明的清晰度
2026-01-22 20:32:29 +08:00
29a3b6095d feat(db): 实现多数据库方言与自动表前缀支持
- 扩展 Dialect 接口添加 QuoteIdentifier 和 QuoteChar 方法
- 实现 IdentifierProcessor 结构体处理标识符转换
- 添加系统数据库列表避免对 INFORMATION_SCHEMA 等添加前缀
- 支持 database.table 格式的表名处理和前缀添加
- 在 CRUD 方法中集成新的标识符处理器
- 修改 WHERE 条件处理逻辑支持自动前缀
- 更新链式构建器的 JOIN 方法处理表名和条件
- 保持完全向后兼容性支持现有写法
2026-01-22 09:52:43 +08:00
650fafad1a refactor(db): 重构数据库查询构建器以支持多数据库方言和标识符处理
- 实现了标识符处理器,统一处理表名、字段名的前缀添加和引号转换
- 添加对 MySQL、PostgreSQL、SQLite 三种数据库方言的支持
- 引入 ProcessTableName、ProcessColumn、ProcessConditionString 等方法处理标识符
- 为 HoTimeDB 添加 T() 和 C() 辅助方法用于手动构建 SQL 查询
- 重构 CRUD 操作中的表名和字段名处理逻辑,统一使用标识符处理器
- 添加完整的单元测试验证不同数据库方言下的标识符处理功能
- 优化 JOIN 操作中表名和条件字符串的处理方式
2026-01-22 09:32:01 +08:00
6164dfe9bf feat(db): 实现多数据库方言与表名前缀支持功能
- 扩展 Dialect 接口,添加 QuoteIdentifier 和 QuoteChar 方法
- 新建 identifier.go,实现 IdentifierProcessor 及智能解析逻辑
- 在 db.go 中集成处理器,添加 T() 和 C() 辅助方法
- 修改 crud.go 中 Select/Insert/Update/Delete/buildJoin 等方法
- 修改 where.go 中 varCond 等条件处理方法
- 检查并更新 builder.go 相关功能
- 编写测试用例验证多数据库和前缀功能
- 移除调试日志文件以完成开发任务
2026-01-22 09:18:45 +08:00
5ba883cd6b chore(example): 清理调试日志并优化测试代码
- 移除大量 debugLog 调试日志调用
- 修改数据库计数检查代码,使用下划线忽略返回值
- 更新事务测试中的变量声明,统一使用下划线忽略不需要的返回值
- 添加注释说明 admin 表数据检查的目的
- 移除条件查询语法测试中的冗余调试日志
- 优化链式查询测试中的调试信息
- 清理 JOIN 查询测试部分的日志输出
- 移除聚合函数测试中的调试日志
- 删除分页查询测试中的多余日志
- 清理批量插入测试中的调试信息
- 优化 upsert 测试部分的日志输出
- 移除事务测试中的冗余调试日志
- 删除原生 SQL 测试中的大量调试日志
- 移除 IN/NOT IN 数组测试中的 region 注释块
2026-01-22 07:25:41 +08:00
c2955d2500 feat(db): 实现数据库查询中的数组参数展开和空数组处理
- 在 Get 方法中添加无参数时的默认字段和 LIMIT 1 处理
- 实现 expandArrayPlaceholder 方法,自动展开 IN (?) 和 NOT IN (?) 中的数组参数
- 为空数组的 IN 条件生成 1=0 永假条件,NOT IN 生成 1=1 永真条件
- 在 queryWithRetry 和 execWithRetry 中集成数组占位符预处理
- 修复 where.go 中空切片条件的处理逻辑
- 添加完整的 IN/NOT IN 数组查询测试用例
- 更新 .gitignore 规则格式
2026-01-22 07:16:42 +08:00
0e1775f72b remove(config): 移除配置相关JSON文件
- 删除 app.json 应用配置文件
- 删除 config.json 系统配置文件
- 删除 configNote.json 配置注释文件
- 删除 rule.json 规则配置文件
2026-01-22 06:12:26 +08:00
1a9e7e19b7 chore(project): 更新 .gitignore 文件
- 添加 /example/config 到忽略列表中
- 防止配置文件被提交到版本控制中
2026-01-22 06:10:51 +08:00
4828f3625c chore(config): 更新 .gitignore 配置
- 移除 /example/config/app.json 的忽略规则
- 移除 /example/config/ 目录的忽略规则
- 保留其他现有忽略配置不变
2026-01-22 06:09:19 +08:00
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---
name: 多数据库方言与前缀支持
overview: 为 HoTimeDB ORM 实现完整的多数据库MySQL/PostgreSQL/SQLite方言支持和自动表前缀功能采用智能解析+辅助方法兜底的混合策略,保持完全向后兼容。
todos:
- id: dialect-interface
content: 扩展 Dialect 接口,添加 QuoteIdentifier 和 QuoteChar 方法
status: completed
- id: identifier-processor
content: 新建 identifier.go实现 IdentifierProcessor 及智能解析逻辑
status: completed
- id: db-integration
content: 在 db.go 中集成处理器,添加 T() 和 C() 辅助方法
status: completed
- id: crud-update
content: 修改 crud.go 中 Select/Insert/Update/Delete/buildJoin 等方法
status: completed
- id: where-update
content: 修改 where.go 中 varCond 等条件处理方法
status: completed
- id: builder-check
content: 检查 builder.go 是否需要额外修改
status: completed
- id: testing
content: 编写测试用例验证多数据库和前缀功能
status: completed
- id: todo-1769037903242-d7aip6nh1
content: ""
status: pending
---
# HoTimeDB 多数据库方言与自动前缀支持计划(更新版)
## 目标
1. **多数据库方言支持**MySQL、PostgreSQL、SQLite 标识符引号自动转换
2. **自动表前缀**主表、JOIN 表、ON/WHERE 条件中的表名自动添加前缀
3. **完全向后兼容**:用户现有写法无需修改
4. **辅助方法兜底**:边缘情况可用 `T()` / `C()` 精确控制
## 混合策略设计
### 各部分处理方式
| 位置 | 处理方式 | 准确度 | 说明 |
|------|---------|--------|------|
| 主表名 | 自动 | 100% | `Select("order")` 自动处理 |
| JOIN 表名 | 自动 | 100% | `[><]order` 中提取表名处理 |
| ON 条件字符串 | 智能解析 | ~95% | 正则匹配 `table.column` 模式 |
| WHERE 条件 Map | 自动 | 100% | Map 的 key 是结构化的 |
| SELECT 字段 | 智能解析 | ~95% | 同 ON 条件 |
### 辅助方法(兜底)
```go
db.T("order") // 返回 "`app_order`" (MySQL) 或 "\"app_order\"" (PG)
db.C("order", "name") // 返回 "`app_order`.`name`"
db.C("order.name") // 同上,支持点号格式
```
## 实现步骤
### 第1步扩展 Dialect 接口([db/dialect.go](db/dialect.go)
添加新方法到 `Dialect` 接口:
```go
// QuoteIdentifier 处理单个标识符(去除已有引号,添加正确引号)
QuoteIdentifier(name string) string
// QuoteChar 返回引号字符
QuoteChar() string
```
三种方言实现:
- MySQL: 反引号 `` ` ``
- PostgreSQL/SQLite: 双引号 `"`
### 第2步添加标识符处理器[db/identifier.go](db/identifier.go) 新文件)
```go
type IdentifierProcessor struct {
dialect Dialect
prefix string
}
// ProcessTableName 处理表名(添加前缀+引号)
// "order" → "`app_order`"
func (p *IdentifierProcessor) ProcessTableName(name string) string
// ProcessColumn 处理 table.column 格式
// "order.name" → "`app_order`.`name`"
// "`order`.name" → "`app_order`.`name`"
func (p *IdentifierProcessor) ProcessColumn(name string) string
// ProcessConditionString 智能解析条件字符串
// "user.id = order.user_id" → "`app_user`.`id` = `app_order`.`user_id`"
func (p *IdentifierProcessor) ProcessConditionString(condition string) string
// ProcessFieldList 处理字段列表字符串
// "order.id, user.name AS uname" → "`app_order`.`id`, `app_user`.`name` AS uname"
func (p *IdentifierProcessor) ProcessFieldList(fields string) string
```
**智能解析正则**
```go
// 匹配 table.column 模式,排除已有引号、函数调用等
// 模式: \b([a-zA-Z_][a-zA-Z0-9_]*)\.([a-zA-Z_][a-zA-Z0-9_]*)\b
// 排除: `table`.column, "table".column, FUNC(), 123.456
```
### 第3步在 HoTimeDB 中集成([db/db.go](db/db.go)
```go
// processor 缓存
var processorOnce sync.Once
var processor *IdentifierProcessor
// GetProcessor 获取标识符处理器
func (that *HoTimeDB) GetProcessor() *IdentifierProcessor
// T 辅助方法:获取带前缀和引号的表名
func (that *HoTimeDB) T(table string) string
// C 辅助方法:获取带前缀和引号的 table.column
func (that *HoTimeDB) C(args ...string) string
```
### 第4步修改 CRUD 方法([db/crud.go](db/crud.go)
**Select 方法改动**
```go
// L112-116 原代码
if !strings.Contains(table, ".") && !strings.Contains(table, " AS ") {
query += " FROM `" + that.Prefix + table + "` "
} else {
query += " FROM " + that.Prefix + table + " "
}
// 改为
query += " FROM " + that.GetProcessor().ProcessTableName(table) + " "
// 字段列表处理L90-107
// 如果是字符串,调用 ProcessFieldList 处理
```
**buildJoin 方法改动**L156-222
```go
// 原代码 L186-190
table := Substr(k, 3, len(k)-3)
if !strings.Contains(table, " ") {
table = "`" + table + "`"
}
query += " LEFT JOIN " + table + " ON " + v.(string) + " "
// 改为
table := Substr(k, 3, len(k)-3)
table = that.GetProcessor().ProcessTableName(table)
onCondition := that.GetProcessor().ProcessConditionString(v.(string))
query += " LEFT JOIN " + table + " ON " + onCondition + " "
```
**Insert/Inserts/Update/Delete** 同样修改表名和字段名处理。
### 第5步修改 WHERE 条件处理([db/where.go](db/where.go)
**varCond 方法改动**(多处):
```go
// 原代码(多处出现)
if !strings.Contains(k, ".") {
k = "`" + k + "`"
}
// 改为
k = that.GetProcessor().ProcessColumn(k)
```
需要修改的函数:
- `varCond` (L205-338)
- `handleDefaultCondition` (L340-368)
- `handlePlainField` (L370-400)
### 第6步修改链式构建器[db/builder.go](db/builder.go)
**LeftJoin 等方法需要传递处理器**
由于 builder 持有 HoTimeDB 引用,可以直接使用:
```go
func (that *HotimeDBBuilder) LeftJoin(table, joinStr string) *HotimeDBBuilder {
// 不在这里处理,让 buildJoin 统一处理
that.Join(Map{"[>]" + table: joinStr})
return that
}
```
JOIN 的实际处理在 `crud.go``buildJoin` 中完成。
## 智能解析的边界处理
### 会自动处理的情况
- `user.id = order.user_id` → 正确处理
- `user.id=order.user_id` → 正确处理(无空格)
- `` `user`.id = order.user_id `` → 正确处理(混合格式)
- `user.id = order.user_id AND order.status = 1` → 正确处理
### 需要辅助方法的边缘情况
- 子查询中的表名
- 复杂 CASE WHEN 表达式
- 动态拼接的 SQL 片段
## 文件清单
| 文件 | 操作 | 说明 |
|------|------|------|
| [db/dialect.go](db/dialect.go) | 修改 | 扩展 Dialect 接口 |
| [db/identifier.go](db/identifier.go) | 新增 | IdentifierProcessor 实现 |
| [db/db.go](db/db.go) | 修改 | 集成处理器,添加 T()/C() 方法 |
| [db/crud.go](db/crud.go) | 修改 | 修改所有 CRUD 方法 |
| [db/where.go](db/where.go) | 修改 | 修改条件处理逻辑 |
| [db/builder.go](db/builder.go) | 检查 | 可能无需修改buildJoin 统一处理)|
## 测试用例
1. **多数据库切换**MySQL → PostgreSQL → SQLite
2. **前缀场景**:有前缀 vs 无前缀
3. **复杂 JOIN**:多表 JOIN + 复杂 ON 条件
4. **混合写法**`order.name` + `` `user`.id `` 混用
5. **辅助方法**`T()``C()` 正确性

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.cursor/worktrees.json Normal file
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{
"setup-worktree": [
"npm install"
]
}

6
.gitignore vendored
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@ -1,6 +1,6 @@
/.idea/*
.idea
/example/config/app.json
/example/tpt/demo/
/example/config/
/*.exe
*.exe
/example/config
/.cursor/*.log

202
README.md
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@ -2,75 +2,42 @@
**高性能 Go Web 服务框架**
## 特性
一个"小而全"的 Go Web 框架,内置 ORM、三级缓存、Session 管理,让你专注于业务逻辑。
## 核心特性
- **高性能** - 单机 10万+ QPS支持百万级并发用户
- **多数据库支持** - MySQL、SQLite3支持主从分离
- **三级缓存系统** - Memory > Redis > DB自动穿透与回填
- **内置 ORM** - 类 Medoo 语法,链式查询,支持 MySQL/SQLite/PostgreSQL
- **三级缓存** - Memory > Redis > DB自动穿透与回填
- **Session 管理** - 内置会话管理,支持多种存储后端
- **自动代码生成** - 根据数据库表自动生成 CRUD 接口
- **丰富工具类** - 上下文管理、类型转换、加密解密等
- **代码生成** - 根据数据库表自动生成 CRUD 接口
- **开箱即用** - 微信支付/公众号/小程序、阿里云、腾讯云等 SDK 内置
## 快速开始
## 文档
### 安装
| 文档 | 说明 |
|------|------|
| [快速上手指南](docs/QUICKSTART.md) | 5 分钟入门,安装配置、路由、中间件、基础数据库操作 |
| [HoTimeDB 使用说明](docs/HoTimeDB_使用说明.md) | 完整数据库 ORM 教程 |
| [HoTimeDB API 参考](docs/HoTimeDB_API参考.md) | 数据库 API 速查手册 |
| [Common 工具类](docs/Common_工具类使用说明.md) | Map/Slice/Obj 类型、类型转换、工具函数 |
| [代码生成器](docs/CodeGen_使用说明.md) | 自动 CRUD 代码生成、配置规则 |
## 安装
```bash
go get code.hoteas.com/golang/hotime
```
### 最小示例
## 性能
```go
package main
| 并发数 | QPS | 成功率 | 平均延迟 |
|--------|-----|--------|----------|
| 500 | 99,960 | 100% | 5.0ms |
| **1000** | **102,489** | **100%** | **9.7ms** |
| 2000 | 75,801 | 99.99% | 26.2ms |
import (
. "code.hoteas.com/golang/hotime"
. "code.hoteas.com/golang/hotime/common"
)
func main() {
appIns := Init("config/config.json")
appIns.Run(Router{
"app": {
"test": {
"hello": func(that *Context) {
that.Display(0, Map{"message": "Hello World"})
},
},
},
})
}
```
访问: http://localhost:8081/app/test/hello
## 性能测试报告
### 测试环境
| 项目 | 配置 |
|------|------|
| CPU | 24 核心 |
| 系统 | Windows 10 |
| Go 版本 | 1.19.3 |
### 测试结果
| 并发数 | QPS | 成功率 | 平均延迟 | P99延迟 |
|--------|-----|--------|----------|---------|
| 500 | 99,960 | 100% | 5.0ms | 25.2ms |
| **1000** | **102,489** | **100%** | **9.7ms** | **56.8ms** |
| 2000 | 75,801 | 99.99% | 26.2ms | 127.7ms |
| 5000 | 12,611 | 99.95% | 391.4ms | 781.4ms |
### 性能总结
```
最高 QPS: 102,489 请求/秒
最佳并发数: 1,000
```
> 测试环境24 核 CPUWindows 10Go 1.19.3
### 并发用户估算
@ -79,24 +46,9 @@ func main() {
| 高频交互 | 1次/秒 | ~10万 |
| 活跃用户 | 1次/5秒 | ~50万 |
| 普通浏览 | 1次/10秒 | ~100万 |
| 低频访问 | 1次/30秒 | ~300万 |
**生产环境建议**: 保留 30-50% 性能余量,安全并发用户数约 **50万 - 70万**
### 与主流框架性能对比
| 框架 | 典型QPS | 基础实现 | 性能评级 |
|------|---------|----------|----------|
| **HoTime** | **~100K** | net/http | 第一梯队 |
| Fiber | ~100K+ | fasthttp | 第一梯队 |
| Gin | ~60-80K | net/http | 第二梯队 |
| Echo | ~60-80K | net/http | 第二梯队 |
| Chi | ~50-60K | net/http | 第二梯队 |
## 框架对比
### 功能特性对比
| 特性 | HoTime | Gin | Echo | Fiber |
|------|--------|-----|------|-------|
| 性能 | 100K QPS | 70K QPS | 70K QPS | 100K QPS |
@ -105,17 +57,8 @@ func main() {
| Session | ✅ 内置 | ❌ 需插件 | ❌ 需插件 | ❌ 需插件 |
| 代码生成 | ✅ | ❌ | ❌ | ❌ |
| 微信/支付集成 | ✅ 内置 | ❌ | ❌ | ❌ |
| 路由灵活性 | 中等 | 优秀 | 优秀 | 优秀 |
| 社区生态 | 较小 | 庞大 | 较大 | 较大 |
### HoTime 优势
1. **开箱即用** - 内置 ORM + 缓存 + Session无需额外集成
2. **三级缓存** - Memory > Redis > DB自动穿透与回填
3. **开发效率高** - 链式查询语法简洁,内置微信/云服务SDK
4. **性能优异** - 100K QPS媲美最快的 Fiber 框架
### 适用场景
## 适用场景
| 场景 | 推荐度 | 说明 |
|------|--------|------|
@ -125,97 +68,14 @@ func main() {
| 高并发 API 服务 | ⭐⭐⭐⭐ | 性能足够 |
| 大型微服务 | ⭐⭐⭐ | 建议用 Gin/Echo |
### 总体评价
| 维度 | 评分 | 说明 |
|------|------|------|
| 性能 | 95分 | 第一梯队媲美Fiber |
| 功能集成 | 90分 | 远超主流框架 |
| 开发效率 | 85分 | 适合快速开发 |
| 生态/社区 | 50分 | 持续建设中 |
> **总结**: HoTime 是"小而全"的高性能框架,性能不输主流,集成度远超主流,适合独立开发者或小团队快速构建中小型项目。
---
## 数据库操作
### 基础 CRUD
```go
// 查询单条
user := that.Db.Get("user", "*", Map{"id": 1})
// 查询列表
users := that.Db.Select("user", "*", Map{"status": 1, "ORDER": "id DESC"})
// 插入数据
id := that.Db.Insert("user", Map{"name": "test", "age": 18})
// 更新数据
rows := that.Db.Update("user", Map{"name": "new"}, Map{"id": 1})
// 删除数据
rows := that.Db.Delete("user", Map{"id": 1})
```
### 链式查询
```go
users := that.Db.Table("user").
LeftJoin("order", "user.id=order.user_id").
And("status", 1).
Order("id DESC").
Page(1, 10).
Select("*")
```
### 条件语法
| 语法 | 说明 | 示例 |
|------|------|------|
| key | 等于 | "id": 1 |
| key[>] | 大于 | "age[>]": 18 |
| key[<] | 小于 | "age[<]": 60 |
| key[!] | 不等于 | "status[!]": 0 |
| key[~] | LIKE | "name[~]": "test" |
| key[<>] | BETWEEN | "age[<>]": Slice{18, 60} |
## 缓存系统
三级缓存: **Memory > Redis > Database**
```go
// 通用缓存
that.Cache("key", value) // 设置
data := that.Cache("key") // 获取
that.Cache("key", nil) // 删除
// Session 缓存
that.Session("user_id", 123) // 设置
userId := that.Session("user_id") // 获取
```
## 中间件
```go
appIns.SetConnectListener(func(that *Context) bool {
if that.Session("user_id").Data == nil {
that.Display(2, "请先登录")
return true // 终止请求
}
return false // 继续处理
})
```
## 扩展功能
- **微信支付/公众号/小程序** - dri/wechat/
- **阿里云服务** - dri/aliyun/
- **腾讯云服务** - dri/tencent/
- **文件上传下载** - dri/upload/, dri/download/
- **MongoDB** - dri/mongodb/
- **RSA加解密** - dri/rsa/
- 微信支付/公众号/小程序 - `dri/wechat/`
- 阿里云服务 - `dri/aliyun/`
- 腾讯云服务 - `dri/tencent/`
- 文件上传下载 - `dri/upload/`, `dri/download/`
- MongoDB - `dri/mongodb/`
- RSA 加解密 - `dri/rsa/`
## License

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@ -1,19 +0,0 @@
{
"flow": {},
"id": "d751713988987e9331980363e24189ce",
"label": "HoTime管理平台",
"labelConfig": {
"add": "添加",
"delete": "删除",
"download": "下载清单",
"edit": "编辑",
"info": "查看详情",
"show": "开启"
},
"menus": [],
"name": "admin",
"stop": [
"role",
"org"
]
}

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@ -1,38 +0,0 @@
{
"cache": {
"memory": {
"db": true,
"session": true,
"timeout": 7200
}
},
"codeConfig": [
{
"config": "config/app.json",
"mode": 0,
"name": "",
"rule": "config/rule.json",
"table": "admin"
}
],
"db": {
"sqlite": {
"path": "config/data.db"
}
},
"defFile": [
"index.html",
"index.htm"
],
"error": {
"1": "内部系统异常",
"2": "访问权限异常",
"3": "请求参数异常",
"4": "数据处理异常",
"5": "数据结果异常"
},
"mode": 2,
"port": "80",
"sessionName": "HOTIME",
"tpt": "tpt"
}

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@ -1,79 +0,0 @@
{
"cache": {
"db": {
"db": "默认false非必须缓存数据库启用后能减少数据库的读写压力",
"session": "默认true非必须缓存web session同时缓存session保持的用户缓存",
"timeout": "默认60 * 60 * 24 * 30非必须过期时间超时自动删除"
},
"memory": {
"db": "默认true非必须缓存数据库启用后能减少数据库的读写压力",
"session": "默认true非必须缓存web session同时缓存session保持的用户缓存",
"timeout": "默认60 * 60 * 2非必须过期时间超时自动删除"
},
"redis": {
"db": "默认true非必须缓存数据库启用后能减少数据库的读写压力",
"host": "默认服务ip127.0.0.1必须如果需要使用redis服务时配置",
"password": "默认密码空必须如果需要使用redis服务时配置默认密码空",
"port": "默认服务端口6379必须如果需要使用redis服务时配置",
"session": "默认true非必须缓存web session同时缓存session保持的用户缓存",
"timeout": "默认60 * 60 * 24 * 15非必须过期时间超时自动删除"
},
"注释": "可配置memorydbredis默认启用memory默认优先级为memory\u003eredis\u003edb,memory与数据库缓存设置项一致缓存数据填充会自动反方向反哺加入memory缓存过期将自动从redis更新但memory永远不会更新redis如果是集群建议不要开启memory配置即启用"
},
"codeConfig": [
"注释:配置即启用,非必须,默认无",
{
"config": "默认config/app.json必须接口描述配置文件",
"configDB": "默认无,非必须,有则每次将数据库数据生成到此目录用于配置读写,无则不生成",
"mode": "默认0非必须0为内嵌代码模式1为生成代码模式",
"name": "默认无非必须有则生成代码到此目录无则采用缺省模式使用表名如设置为admin将在admin目录生成包名为admin的代码",
"rule": "默认config/rule.json非必须有则按改规则生成接口无则按系统内嵌方式生成",
"table": "默认admin必须根据数据库内当前表名做为用户生成数据"
}
],
"crossDomain": "默认空 非必须空字符串为不开启如果需要跨域设置auto为智能开启所有网站允许跨域http://www.baidu.com为指定域允许跨域",
"db": {
"mysql": {
"host": "默认127.0.0.1必须数据库ip地址",
"name": "默认test必须数据库名称",
"password": "默认root必须数据库密码",
"port": "默认3306必须数据库端口",
"prefix": "默认空,非必须,数据表前缀",
"slave": {
"host": "默认127.0.0.1必须数据库ip地址",
"name": "默认test必须数据库名称",
"password": "默认root必须数据库密码",
"port": "默认3306必须数据库端口",
"user": "默认root必须数据库用户名",
"注释": "从数据库配置mysql里配置slave项即启用主从读写减少数据库压力"
},
"user": "默认root必须数据库用户名",
"注释": "除prefix及主从数据库slave项其他全部必须"
},
"sqlite": {
"path": "默认config/data.db必须数据库位置"
},
"注释": "配置即启用非必须默认使用sqlite数据库"
},
"defFile": "默认访问index.html或者index.htm文件必须默认访问文件类型",
"error": {
"1": "内部系统异常,在环境配置,文件访问权限等基础运行环境条件不足造成严重错误时使用",
"2": "访问权限异常,没有登录或者登录异常等时候使用",
"3": "请求参数异常request参数不满足要求比如参数不足参数类型错误参数不满足要求等时候使用",
"4": "数据处理异常,数据库操作或者三方请求返回的结果非正常结果,比如数据库突然中断等时候使用",
"5": "数据结果异常一般用于无法给出response要求的格式要求下使用比如response需要的是string格式但你只能提供int数据时",
"注释": "web服务内置错误提示自定义异常建议10开始"
},
"logFile": "无默认,非必须,如果需要存储日志文件时使用,保存格式为:a/b/c/20060102150405.txt,将生成a/b/c/年月日时分秒.txt按需设置",
"logLevel": "默认0必须0关闭1打印日志等级",
"mode": "默认0,非必须0生产模式1测试模式2开发模式3内嵌代码模式在开发模式下会显示更多的数据用于开发测试并能够辅助研发自动生成配置文件、代码等功能,web无缓存数据库不启用缓存",
"modeRouterStrict": "默认false,必须路由严格模式false,为大小写忽略必须匹配true必须大小写匹配",
"port": "默认80必须web服务开启Http端口0为不启用http服务,默认80",
"sessionName": "默认HOTIME必须设置session的cookie名",
"tlsCert": "默认空非必须https证书",
"tlsKey": "默认空非必须https密钥",
"tlsPort": "默认空非必须web服务https端口0为不启用https服务",
"tpt": "默认tpt必须web静态文件目录默认为程序目录下tpt目录",
"webConnectLogFile": "无默认非必须webConnectLogShow开启之后才能使用如果需要存储日志文件时使用保存格式为:a/b/c/20060102150405.txt,将生成a/b/c/年月日时分秒.txt按需设置",
"webConnectLogShow": "默认true非必须访问日志如果需要web访问链接、访问ip、访问时间打印false为关闭true开启此功能"
}

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@ -1,422 +0,0 @@
[
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "idcard",
"strict": false,
"type": ""
},
{
"add": false,
"edit": false,
"info": true,
"list": true,
"must": false,
"name": "id",
"strict": true,
"type": ""
},
{
"add": false,
"edit": false,
"info": true,
"list": true,
"must": false,
"name": "sn",
"strict": false,
"type": ""
},
{
"add": false,
"edit": false,
"info": false,
"list": false,
"must": false,
"name": "parent_ids",
"strict": true,
"type": "index"
},
{
"add": false,
"edit": false,
"info": false,
"list": false,
"must": false,
"name": "index",
"strict": true,
"type": "index"
},
{
"add": true,
"edit": true,
"info": true,
"list": true,
"must": false,
"name": "parent_id",
"true": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": true,
"must": false,
"name": "amount",
"strict": true,
"type": "money"
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "info",
"strict": false,
"type": "textArea"
},
{
"add": true,
"edit": true,
"info": true,
"list": true,
"must": false,
"name": "status",
"strict": false,
"type": "select"
},
{
"add": true,
"edit": true,
"info": true,
"list": true,
"must": false,
"name": "state",
"strict": false,
"type": "select"
},
{
"add": true,
"edit": true,
"info": true,
"list": true,
"must": false,
"name": "sex",
"strict": false,
"type": "select"
},
{
"add": false,
"edit": false,
"info": false,
"list": false,
"must": false,
"name": "delete",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "lat",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "lng",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "latitude",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "longitude",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": false,
"list": false,
"must": false,
"name": "password",
"strict": false,
"type": "password"
},
{
"add": true,
"edit": true,
"info": false,
"list": false,
"must": false,
"name": "pwd",
"strict": false,
"type": "password"
},
{
"add": false,
"edit": false,
"info": false,
"list": false,
"must": false,
"name": "version",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "seq",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "sort",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "note",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "description",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "abstract",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "content",
"strict": false,
"type": "textArea"
},
{
"add": true,
"edit": true,
"info": true,
"list": true,
"must": false,
"name": "address",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "full_name",
"strict": false,
"type": ""
},
{
"add": false,
"edit": false,
"info": true,
"list": false,
"must": false,
"name": "create_time",
"strict": true,
"type": "time"
},
{
"add": false,
"edit": false,
"info": true,
"list": true,
"must": false,
"name": "modify_time",
"strict": true,
"type": "time"
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "image",
"strict": false,
"type": "image"
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "img",
"strict": false,
"type": "image"
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "avatar",
"strict": false,
"type": "image"
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "icon",
"strict": false,
"type": "image"
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "file",
"strict": false,
"type": "file"
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "age",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "email",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": true,
"must": false,
"name": "time",
"strict": false,
"type": "time"
},
{
"add": false,
"edit": false,
"info": true,
"list": false,
"must": false,
"name": "level",
"strict": false,
"type": ""
},
{
"add": true,
"edit": true,
"info": true,
"list": true,
"must": false,
"name": "rule",
"strict": false,
"type": "form"
},
{
"add": true,
"edit": true,
"info": true,
"list": false,
"must": false,
"name": "auth",
"strict": false,
"type": "auth"
},
{
"add": false,
"edit": false,
"info": true,
"list": true,
"must": false,
"name": "table",
"strict": false,
"type": "table"
},
{
"add": false,
"edit": false,
"info": true,
"list": true,
"must": false,
"name": "table_id",
"strict": false,
"type": "table_id"
}
]

View File

@ -1,252 +0,0 @@
# HoTimeDB ORM 文档集合
这是HoTimeDB ORM框架的完整文档集合包含使用说明、API参考、示例代码和测试数据。
## ⚠️ 重要更新说明
**语法修正通知**经过对源码的深入分析发现HoTimeDB的条件查询语法有特定规则
- ✅ **单个条件**可以直接写在Map中
- ⚠️ **多个条件**:必须使用`AND``OR`包装
- 📝 所有文档和示例代码已按正确语法更新
## 📚 文档列表
### 1. [HoTimeDB_使用说明.md](./HoTimeDB_使用说明.md)
**完整使用说明书** - 详细的功能介绍和使用指南
- 🚀 快速开始
- ⚙️ 数据库配置
- 🔧 基本操作 (CRUD)
- 🔗 链式查询构建器
- 🔍 条件查询语法
- 🔄 JOIN操作
- 📄 分页查询
- 📊 聚合函数
- 🔐 事务处理
- 💾 缓存机制
- ⚡ 高级特性
### 2. [HoTimeDB_API参考.md](./HoTimeDB_API参考.md)
**快速API参考手册** - 开发时的速查手册
- 📖 基本方法
- 🔧 CRUD操作
- 📊 聚合函数
- 📄 分页查询
- 🔍 条件语法参考
- 🔗 JOIN语法
- 🔐 事务处理
- 🛠️ 工具方法
### 3. [示例代码文件](../examples/hotimedb_examples.go)
**完整示例代码集合** - 可运行的实际应用示例(语法已修正)
- 🏗️ 基本初始化和配置
- 📝 基本CRUD操作
- 🔗 链式查询操作
- 🤝 JOIN查询操作
- 🔍 条件查询语法
- 📄 分页查询
- 📊 聚合函数查询
- 🔐 事务处理
- 💾 缓存机制
- 🔧 原生SQL执行
- 🚨 错误处理和调试
- ⚡ 性能优化技巧
- 🎯 完整应用示例
### 4. [test_tables.sql](./test_tables.sql)
**测试数据库结构** - 快速搭建测试环境
- 🏗️ 完整的表结构定义
- 📊 测试数据插入
- 🔍 索引优化
- 👁️ 视图示例
- 🔧 存储过程示例
## 🎯 核心特性
### 🌟 主要优势
- **类Medoo语法**: 参考PHP Medoo设计语法简洁易懂
- **链式查询**: 支持流畅的链式查询构建器
- **条件丰富**: 支持丰富的条件查询语法
- **事务支持**: 完整的事务处理机制
- **缓存集成**: 内置查询结果缓存
- **读写分离**: 支持主从数据库配置
- **类型安全**: 基于Golang的强类型系统
### 🔧 支持的数据库
- ✅ MySQL
- ✅ SQLite
- ✅ 其他标准SQL数据库
## 🚀 快速开始
### 1. 安装依赖
```bash
go mod init your-project
go get github.com/go-sql-driver/mysql
go get github.com/sirupsen/logrus
```
### 2. 创建测试数据库
```bash
mysql -u root -p < test_tables.sql
```
### 3. 基本使用
```go
import (
"code.hoteas.com/golang/hotime/db"
"code.hoteas.com/golang/hotime/common"
"database/sql"
_ "github.com/go-sql-driver/mysql"
)
// 初始化数据库
database := &db.HoTimeDB{
Prefix: "app_",
Mode: 2, // 开发模式
}
database.SetConnect(func() (master, slave *sql.DB) {
master, _ = sql.Open("mysql", "user:pass@tcp(localhost:3306)/dbname")
return master, master
})
// 链式查询链式语法支持单独Where然后用And添加条件
users := database.Table("user").
Where("status", 1). // 链式中可以单独Where
And("age[>]", 18). // 用And添加更多条件
Order("created_time DESC").
Limit(0, 10).
Select("id,name,email")
// 或者使用传统语法多个条件必须用AND包装
users2 := database.Select("user", "id,name,email", common.Map{
"AND": common.Map{
"status": 1,
"age[>]": 18,
},
"ORDER": "created_time DESC",
"LIMIT": []int{0, 10},
})
```
## ⚠️ 重要语法规则
**条件查询语法规则:**
- ✅ **单个条件**可以直接写在Map中
- ✅ **多个条件**:必须使用`AND``OR`包装
- ✅ **特殊参数**`ORDER``GROUP``LIMIT`与条件同级
```go
// ✅ 正确:单个条件
Map{"status": 1}
// ✅ 正确多个条件用AND包装
Map{
"AND": Map{
"status": 1,
"age[>]": 18,
},
"ORDER": "id DESC",
}
// ❌ 错误多个条件不用AND包装
Map{
"status": 1,
"age[>]": 18, // 不支持!
}
```
## 📝 条件查询语法速查
| 语法 | SQL | 说明 |
|------|-----|------|
| `"field": value` | `field = ?` | 等于 |
| `"field[!]": value` | `field != ?` | 不等于 |
| `"field[>]": value` | `field > ?` | 大于 |
| `"field[>=]": value` | `field >= ?` | 大于等于 |
| `"field[<]": value` | `field < ?` | 小于 |
| `"field[<=]": value` | `field <= ?` | 小于等于 |
| `"field[~]": "keyword"` | `field LIKE '%keyword%'` | 包含 |
| `"field[<>]": [min, max]` | `field BETWEEN ? AND ?` | 区间内 |
| `"field": [v1, v2, v3]` | `field IN (?, ?, ?)` | 在集合中 |
| `"field": nil` | `field IS NULL` | 为空 |
| `"field[#]": "NOW()"` | `field = NOW()` | 直接SQL |
## 🔗 JOIN语法速查
| 语法 | SQL | 说明 |
|------|-----|------|
| `"[>]table"` | `LEFT JOIN` | 左连接 |
| `"[<]table"` | `RIGHT JOIN` | 右连接 |
| `"[><]table"` | `INNER JOIN` | 内连接 |
| `"[<>]table"` | `FULL JOIN` | 全连接 |
## 🛠️ 链式方法速查
```go
db.Table("table") // 指定表名
.Where(key, value) // WHERE条件
.And(key, value) // AND条件
.Or(map) // OR条件
.LeftJoin(table, on) // LEFT JOIN
.Order(fields...) // ORDER BY
.Group(fields...) // GROUP BY
.Limit(offset, limit) // LIMIT
.Page(page, pageSize) // 分页
.Select(fields...) // 查询
.Get(fields...) // 获取单条
.Count() // 计数
.Update(data) // 更新
.Delete() // 删除
```
## ⚡ 性能优化建议
### 🔍 查询优化
- 使用合适的索引字段作为查询条件
- IN查询会自动优化为BETWEEN连续数字
- 避免SELECT *,指定需要的字段
- 合理使用LIMIT限制结果集大小
### 💾 缓存使用
- 查询结果会自动缓存
- 增删改操作会自动清除缓存
- `cached`表不参与缓存
### 🔐 事务处理
- 批量操作使用事务提高性能
- 事务中避免长时间操作
- 合理设置事务隔离级别
## 🚨 注意事项
### 🔒 安全相关
- 使用参数化查询防止SQL注入
- `[#]`语法需要注意防止注入
- 敏感数据加密存储
### 🎯 最佳实践
- 开发时设置`Mode = 2`便于调试
- 生产环境设置`Mode = 0`
- 合理设置表前缀
- 定期检查慢查询日志
## 🤝 与PHP Medoo的差异
1. **类型系统**: 使用`common.Map``common.Slice`
2. **错误处理**: Golang风格的错误处理
3. **链式调用**: 提供更丰富的链式API
4. **缓存集成**: 内置缓存功能
5. **并发安全**: 需要注意并发使用
## 📞 技术支持
- 📧 查看源码:`hotimedb.go`
- 📖 参考文档:本目录下的各个文档文件
- 🔧 示例代码:运行`HoTimeDB_示例代码.go`中的示例
---
**HoTimeDB ORM框架 - 让数据库操作更简单!** 🎉
> 本文档基于HoTimeDB源码分析生成参考了PHP Medoo的设计理念并根据Golang语言特性进行了优化。

View File

@ -87,17 +87,26 @@ func (that *HoTimeDB) Select(table string, qu ...interface{}) []Map {
join = true
}
processor := that.GetProcessor()
if len(qu) > 0 {
if reflect.ValueOf(qu[intQs]).Type().String() == "string" {
query += " " + qu[intQs].(string)
// 字段列表字符串,使用处理器处理 table.column 格式
fieldStr := qu[intQs].(string)
if fieldStr != "*" {
fieldStr = processor.ProcessFieldList(fieldStr)
}
query += " " + fieldStr
} else {
data := ObjToSlice(qu[intQs])
for i := 0; i < len(data); i++ {
k := data.GetString(i)
if strings.Contains(k, " AS ") || strings.Contains(k, ".") {
query += " " + k + " "
// 处理 table.column 格式
query += " " + processor.ProcessFieldList(k) + " "
} else {
query += " `" + k + "` "
// 单独的列名
query += " " + processor.ProcessColumnNoPrefix(k) + " "
}
if i+1 != len(data) {
@ -109,11 +118,8 @@ func (that *HoTimeDB) Select(table string, qu ...interface{}) []Map {
query += " *"
}
if !strings.Contains(table, ".") && !strings.Contains(table, " AS ") {
query += " FROM `" + that.Prefix + table + "` "
} else {
query += " FROM " + that.Prefix + table + " "
}
// 处理表名(添加前缀和正确的引号)
query += " FROM " + processor.ProcessTableName(table) + " "
if join {
query += that.buildJoin(qu[0])
@ -157,6 +163,7 @@ func (that *HoTimeDB) buildJoin(joinData interface{}) string {
query := ""
var testQu = []string{}
testQuData := Map{}
processor := that.GetProcessor()
if reflect.ValueOf(joinData).Type().String() == "common.Map" {
testQuData = joinData.(Map)
@ -184,36 +191,34 @@ func (that *HoTimeDB) buildJoin(joinData interface{}) string {
case "[>]":
func() {
table := Substr(k, 3, len(k)-3)
if !strings.Contains(table, " ") {
table = "`" + table + "`"
}
query += " LEFT JOIN " + table + " ON " + v.(string) + " "
// 处理表名(添加前缀和正确的引号)
table = processor.ProcessTableName(table)
// 处理 ON 条件中的 table.column
onCondition := processor.ProcessConditionString(v.(string))
query += " LEFT JOIN " + table + " ON " + onCondition + " "
}()
case "[<]":
func() {
table := Substr(k, 3, len(k)-3)
if !strings.Contains(table, " ") {
table = "`" + table + "`"
}
query += " RIGHT JOIN " + table + " ON " + v.(string) + " "
table = processor.ProcessTableName(table)
onCondition := processor.ProcessConditionString(v.(string))
query += " RIGHT JOIN " + table + " ON " + onCondition + " "
}()
}
switch Substr(k, 0, 4) {
case "[<>]":
func() {
table := Substr(k, 4, len(k)-4)
if !strings.Contains(table, " ") {
table = "`" + table + "`"
}
query += " FULL JOIN " + table + " ON " + v.(string) + " "
table = processor.ProcessTableName(table)
onCondition := processor.ProcessConditionString(v.(string))
query += " FULL JOIN " + table + " ON " + onCondition + " "
}()
case "[><]":
func() {
table := Substr(k, 4, len(k)-4)
if !strings.Contains(table, " ") {
table = "`" + table + "`"
}
query += " INNER JOIN " + table + " ON " + v.(string) + " "
table = processor.ProcessTableName(table)
onCondition := processor.ProcessConditionString(v.(string))
query += " INNER JOIN " + table + " ON " + onCondition + " "
}()
}
}
@ -223,15 +228,16 @@ func (that *HoTimeDB) buildJoin(joinData interface{}) string {
// Get 获取单条记录
func (that *HoTimeDB) Get(table string, qu ...interface{}) Map {
if len(qu) == 1 {
if len(qu) == 0 {
// 没有参数时,添加默认字段和 LIMIT
qu = append(qu, "*", Map{"LIMIT": 1})
} else if len(qu) == 1 {
qu = append(qu, Map{"LIMIT": 1})
}
if len(qu) == 2 {
} else if len(qu) == 2 {
temp := qu[1].(Map)
temp["LIMIT"] = 1
qu[1] = temp
}
if len(qu) == 3 {
} else if len(qu) == 3 {
temp := qu[2].(Map)
temp["LIMIT"] = 1
qu[2] = temp
@ -249,6 +255,7 @@ func (that *HoTimeDB) Insert(table string, data map[string]interface{}) int64 {
values := make([]interface{}, 0)
queryString := " ("
valueString := " ("
processor := that.GetProcessor()
lens := len(data)
tempLen := 0
@ -261,25 +268,25 @@ func (that *HoTimeDB) Insert(table string, data map[string]interface{}) int64 {
k = strings.Replace(k, "[#]", "", -1)
vstr = ObjToStr(v)
if tempLen < lens {
queryString += "`" + k + "`,"
queryString += processor.ProcessColumnNoPrefix(k) + ","
valueString += vstr + ","
} else {
queryString += "`" + k + "`) "
queryString += processor.ProcessColumnNoPrefix(k) + ") "
valueString += vstr + ");"
}
} else {
values = append(values, v)
if tempLen < lens {
queryString += "`" + k + "`,"
queryString += processor.ProcessColumnNoPrefix(k) + ","
valueString += "?,"
} else {
queryString += "`" + k + "`) "
queryString += processor.ProcessColumnNoPrefix(k) + ") "
valueString += "?);"
}
}
}
query := "INSERT INTO `" + that.Prefix + table + "` " + queryString + "VALUES" + valueString
query := "INSERT INTO " + processor.ProcessTableName(table) + " " + queryString + "VALUES" + valueString
res, err := that.Exec(query, values...)
@ -300,19 +307,19 @@ func (that *HoTimeDB) Insert(table string, data map[string]interface{}) int64 {
return id
}
// BatchInsert 批量插入数据
// Inserts 批量插入数据
// table: 表名
// dataList: 数据列表,每个元素是一个 Map
// 返回受影响的行数
//
// 示例:
//
// affected := db.BatchInsert("user", []Map{
// affected := db.Inserts("user", []Map{
// {"name": "张三", "age": 25, "email": "zhang@example.com"},
// {"name": "李四", "age": 30, "email": "li@example.com"},
// {"name": "王五", "age": 28, "email": "wang@example.com"},
// })
func (that *HoTimeDB) BatchInsert(table string, dataList []Map) int64 {
func (that *HoTimeDB) Inserts(table string, dataList []Map) int64 {
if len(dataList) == 0 {
return 0
}
@ -333,10 +340,12 @@ func (that *HoTimeDB) BatchInsert(table string, dataList []Map) int64 {
// 排序列名以确保一致性
sort.Strings(columns)
processor := that.GetProcessor()
// 构建列名部分
quotedCols := make([]string, len(columns))
for i, col := range columns {
quotedCols[i] = "`" + col + "`"
quotedCols[i] = processor.ProcessColumnNoPrefix(col)
}
colStr := strings.Join(quotedCols, ", ")
@ -367,7 +376,7 @@ func (that *HoTimeDB) BatchInsert(table string, dataList []Map) int64 {
placeholders[i] = "(" + strings.Join(rowPlaceholders, ", ") + ")"
}
query := "INSERT INTO `" + that.Prefix + table + "` (" + colStr + ") VALUES " + strings.Join(placeholders, ", ")
query := "INSERT INTO " + processor.ProcessTableName(table) + " (" + colStr + ") VALUES " + strings.Join(placeholders, ", ")
res, err := that.Exec(query, values...)
@ -494,11 +503,12 @@ func (that *HoTimeDB) Upsert(table string, data Map, uniqueKeys Slice, updateCol
func (that *HoTimeDB) buildMySQLUpsert(table string, columns []string, uniqueKeys []string, updateColumns []string, rawValues map[string]string) string {
// INSERT INTO table (col1, col2) VALUES (?, ?)
// ON DUPLICATE KEY UPDATE col1 = VALUES(col1), col2 = VALUES(col2)
processor := that.GetProcessor()
quotedCols := make([]string, len(columns))
valueParts := make([]string, len(columns))
for i, col := range columns {
quotedCols[i] = "`" + col + "`"
quotedCols[i] = processor.ProcessColumnNoPrefix(col)
if raw, ok := rawValues[col]; ok {
valueParts[i] = raw
} else {
@ -508,14 +518,15 @@ func (that *HoTimeDB) buildMySQLUpsert(table string, columns []string, uniqueKey
updateParts := make([]string, len(updateColumns))
for i, col := range updateColumns {
quotedCol := processor.ProcessColumnNoPrefix(col)
if raw, ok := rawValues[col]; ok {
updateParts[i] = "`" + col + "` = " + raw
updateParts[i] = quotedCol + " = " + raw
} else {
updateParts[i] = "`" + col + "` = VALUES(`" + col + "`)"
updateParts[i] = quotedCol + " = VALUES(" + quotedCol + ")"
}
}
return "INSERT INTO `" + that.Prefix + table + "` (" + strings.Join(quotedCols, ", ") +
return "INSERT INTO " + processor.ProcessTableName(table) + " (" + strings.Join(quotedCols, ", ") +
") VALUES (" + strings.Join(valueParts, ", ") +
") ON DUPLICATE KEY UPDATE " + strings.Join(updateParts, ", ")
}
@ -524,12 +535,14 @@ func (that *HoTimeDB) buildMySQLUpsert(table string, columns []string, uniqueKey
func (that *HoTimeDB) buildPostgresUpsert(table string, columns []string, uniqueKeys []string, updateColumns []string, rawValues map[string]string) string {
// INSERT INTO table (col1, col2) VALUES ($1, $2)
// ON CONFLICT (unique_key) DO UPDATE SET col1 = EXCLUDED.col1
processor := that.GetProcessor()
dialect := that.GetDialect()
quotedCols := make([]string, len(columns))
valueParts := make([]string, len(columns))
paramIndex := 1
for i, col := range columns {
quotedCols[i] = "\"" + col + "\""
quotedCols[i] = dialect.QuoteIdentifier(col)
if raw, ok := rawValues[col]; ok {
valueParts[i] = raw
} else {
@ -540,19 +553,20 @@ func (that *HoTimeDB) buildPostgresUpsert(table string, columns []string, unique
quotedUniqueKeys := make([]string, len(uniqueKeys))
for i, key := range uniqueKeys {
quotedUniqueKeys[i] = "\"" + key + "\""
quotedUniqueKeys[i] = dialect.QuoteIdentifier(key)
}
updateParts := make([]string, len(updateColumns))
for i, col := range updateColumns {
quotedCol := dialect.QuoteIdentifier(col)
if raw, ok := rawValues[col]; ok {
updateParts[i] = "\"" + col + "\" = " + raw
updateParts[i] = quotedCol + " = " + raw
} else {
updateParts[i] = "\"" + col + "\" = EXCLUDED.\"" + col + "\""
updateParts[i] = quotedCol + " = EXCLUDED." + quotedCol
}
}
return "INSERT INTO \"" + that.Prefix + table + "\" (" + strings.Join(quotedCols, ", ") +
return "INSERT INTO " + processor.ProcessTableName(table) + " (" + strings.Join(quotedCols, ", ") +
") VALUES (" + strings.Join(valueParts, ", ") +
") ON CONFLICT (" + strings.Join(quotedUniqueKeys, ", ") +
") DO UPDATE SET " + strings.Join(updateParts, ", ")
@ -562,11 +576,13 @@ func (that *HoTimeDB) buildPostgresUpsert(table string, columns []string, unique
func (that *HoTimeDB) buildSQLiteUpsert(table string, columns []string, uniqueKeys []string, updateColumns []string, rawValues map[string]string) string {
// INSERT INTO table (col1, col2) VALUES (?, ?)
// ON CONFLICT (unique_key) DO UPDATE SET col1 = excluded.col1
processor := that.GetProcessor()
dialect := that.GetDialect()
quotedCols := make([]string, len(columns))
valueParts := make([]string, len(columns))
for i, col := range columns {
quotedCols[i] = "\"" + col + "\""
quotedCols[i] = dialect.QuoteIdentifier(col)
if raw, ok := rawValues[col]; ok {
valueParts[i] = raw
} else {
@ -576,19 +592,20 @@ func (that *HoTimeDB) buildSQLiteUpsert(table string, columns []string, uniqueKe
quotedUniqueKeys := make([]string, len(uniqueKeys))
for i, key := range uniqueKeys {
quotedUniqueKeys[i] = "\"" + key + "\""
quotedUniqueKeys[i] = dialect.QuoteIdentifier(key)
}
updateParts := make([]string, len(updateColumns))
for i, col := range updateColumns {
quotedCol := dialect.QuoteIdentifier(col)
if raw, ok := rawValues[col]; ok {
updateParts[i] = "\"" + col + "\" = " + raw
updateParts[i] = quotedCol + " = " + raw
} else {
updateParts[i] = "\"" + col + "\" = excluded.\"" + col + "\""
updateParts[i] = quotedCol + " = excluded." + quotedCol
}
}
return "INSERT INTO \"" + that.Prefix + table + "\" (" + strings.Join(quotedCols, ", ") +
return "INSERT INTO " + processor.ProcessTableName(table) + " (" + strings.Join(quotedCols, ", ") +
") VALUES (" + strings.Join(valueParts, ", ") +
") ON CONFLICT (" + strings.Join(quotedUniqueKeys, ", ") +
") DO UPDATE SET " + strings.Join(updateParts, ", ")
@ -596,7 +613,8 @@ func (that *HoTimeDB) buildSQLiteUpsert(table string, columns []string, uniqueKe
// Update 更新数据
func (that *HoTimeDB) Update(table string, data Map, where Map) int64 {
query := "UPDATE `" + that.Prefix + table + "` SET "
processor := that.GetProcessor()
query := "UPDATE " + processor.ProcessTableName(table) + " SET "
qs := make([]interface{}, 0)
tp := len(data)
@ -608,7 +626,7 @@ func (that *HoTimeDB) Update(table string, data Map, where Map) int64 {
} else {
qs = append(qs, v)
}
query += "`" + k + "`=" + vstr + " "
query += processor.ProcessColumnNoPrefix(k) + "=" + vstr + " "
if tp--; tp != 0 {
query += ", "
}
@ -638,7 +656,8 @@ func (that *HoTimeDB) Update(table string, data Map, where Map) int64 {
// Delete 删除数据
func (that *HoTimeDB) Delete(table string, data map[string]interface{}) int64 {
query := "DELETE FROM `" + that.Prefix + table + "` "
processor := that.GetProcessor()
query := "DELETE FROM " + processor.ProcessTableName(table) + " "
temp, resWhere := that.where(data)
query += temp + ";"

View File

@ -4,10 +4,12 @@ import (
"code.hoteas.com/golang/hotime/cache"
. "code.hoteas.com/golang/hotime/common"
"database/sql"
"strings"
"sync"
_ "github.com/go-sql-driver/mysql"
_ "github.com/mattn/go-sqlite3"
"github.com/sirupsen/logrus"
"sync"
)
// HoTimeDB 数据库操作核心结构体
@ -98,3 +100,48 @@ func (that *HoTimeDB) GetType() string {
func (that *HoTimeDB) GetPrefix() string {
return that.Prefix
}
// GetProcessor 获取标识符处理器
// 用于处理表名、字段名的前缀添加和引号转换
func (that *HoTimeDB) GetProcessor() *IdentifierProcessor {
return NewIdentifierProcessor(that.GetDialect(), that.Prefix)
}
// T 辅助方法:获取带前缀和引号的表名
// 用于手动构建 SQL 时使用
// 示例: db.T("order") 返回 "`app_order`" (MySQL) 或 "\"app_order\"" (PostgreSQL)
func (that *HoTimeDB) T(table string) string {
return that.GetProcessor().ProcessTableName(table)
}
// C 辅助方法:获取带前缀和引号的 table.column
// 支持两种调用方式:
// - db.C("order", "name") 返回 "`app_order`.`name`"
// - db.C("order.name") 返回 "`app_order`.`name`"
func (that *HoTimeDB) C(args ...string) string {
if len(args) == 0 {
return ""
}
if len(args) == 1 {
return that.GetProcessor().ProcessColumn(args[0])
}
// 两个参数: table, column
dialect := that.GetDialect()
table := args[0]
column := args[1]
// 去除已有引号
table = trimQuotes(table)
column = trimQuotes(column)
return dialect.QuoteIdentifier(that.Prefix+table) + "." + dialect.QuoteIdentifier(column)
}
// trimQuotes 去除字符串两端的引号
func trimQuotes(s string) string {
s = strings.TrimSpace(s)
if len(s) >= 2 {
if (s[0] == '`' && s[len(s)-1] == '`') || (s[0] == '"' && s[len(s)-1] == '"') {
return s[1 : len(s)-1]
}
}
return s
}

View File

@ -14,6 +14,15 @@ type Dialect interface {
// SQLite 使用双引号或方括号 "name" 或 [name]
Quote(name string) string
// QuoteIdentifier 处理单个标识符(去除已有引号,添加正确引号)
// 输入可能带有反引号或双引号,会先去除再添加正确格式
QuoteIdentifier(name string) string
// QuoteChar 返回引号字符
// MySQL: `
// PostgreSQL/SQLite: "
QuoteChar() string
// Placeholder 生成占位符
// MySQL/SQLite 使用 ?
// PostgreSQL 使用 $1, $2, $3...
@ -54,6 +63,16 @@ func (d *MySQLDialect) Quote(name string) string {
return "`" + name + "`"
}
func (d *MySQLDialect) QuoteIdentifier(name string) string {
// 去除已有的引号(反引号和双引号)
name = strings.Trim(name, "`\"")
return "`" + name + "`"
}
func (d *MySQLDialect) QuoteChar() string {
return "`"
}
func (d *MySQLDialect) Placeholder(index int) string {
return "?"
}
@ -121,6 +140,16 @@ func (d *PostgreSQLDialect) Quote(name string) string {
return "\"" + name + "\""
}
func (d *PostgreSQLDialect) QuoteIdentifier(name string) string {
// 去除已有的引号(反引号和双引号)
name = strings.Trim(name, "`\"")
return "\"" + name + "\""
}
func (d *PostgreSQLDialect) QuoteChar() string {
return "\""
}
func (d *PostgreSQLDialect) Placeholder(index int) string {
return fmt.Sprintf("$%d", index)
}
@ -192,6 +221,16 @@ func (d *SQLiteDialect) Quote(name string) string {
return "\"" + name + "\""
}
func (d *SQLiteDialect) QuoteIdentifier(name string) string {
// 去除已有的引号(反引号和双引号)
name = strings.Trim(name, "`\"")
return "\"" + name + "\""
}
func (d *SQLiteDialect) QuoteChar() string {
return "\""
}
func (d *SQLiteDialect) Placeholder(index int) string {
return "?"
}

441
db/dialect_test.go Normal file
View File

@ -0,0 +1,441 @@
package db
import (
. "code.hoteas.com/golang/hotime/common"
"fmt"
"strings"
"testing"
)
// TestDialectQuoteIdentifier 测试方言的 QuoteIdentifier 方法
func TestDialectQuoteIdentifier(t *testing.T) {
tests := []struct {
name string
dialect Dialect
input string
expected string
}{
// MySQL 方言测试
{"MySQL simple", &MySQLDialect{}, "name", "`name`"},
{"MySQL with backticks", &MySQLDialect{}, "`name`", "`name`"},
{"MySQL with quotes", &MySQLDialect{}, "\"name\"", "`name`"},
// PostgreSQL 方言测试
{"PostgreSQL simple", &PostgreSQLDialect{}, "name", "\"name\""},
{"PostgreSQL with backticks", &PostgreSQLDialect{}, "`name`", "\"name\""},
{"PostgreSQL with quotes", &PostgreSQLDialect{}, "\"name\"", "\"name\""},
// SQLite 方言测试
{"SQLite simple", &SQLiteDialect{}, "name", "\"name\""},
{"SQLite with backticks", &SQLiteDialect{}, "`name`", "\"name\""},
{"SQLite with quotes", &SQLiteDialect{}, "\"name\"", "\"name\""},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
result := tt.dialect.QuoteIdentifier(tt.input)
if result != tt.expected {
t.Errorf("QuoteIdentifier(%q) = %q, want %q", tt.input, result, tt.expected)
}
})
}
}
// TestDialectQuoteChar 测试方言的 QuoteChar 方法
func TestDialectQuoteChar(t *testing.T) {
tests := []struct {
name string
dialect Dialect
expected string
}{
{"MySQL", &MySQLDialect{}, "`"},
{"PostgreSQL", &PostgreSQLDialect{}, "\""},
{"SQLite", &SQLiteDialect{}, "\""},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
result := tt.dialect.QuoteChar()
if result != tt.expected {
t.Errorf("QuoteChar() = %q, want %q", result, tt.expected)
}
})
}
}
// TestIdentifierProcessorTableName 测试表名处理
func TestIdentifierProcessorTableName(t *testing.T) {
tests := []struct {
name string
dialect Dialect
prefix string
input string
expected string
}{
// MySQL 无前缀
{"MySQL no prefix", &MySQLDialect{}, "", "order", "`order`"},
{"MySQL no prefix with backticks", &MySQLDialect{}, "", "`order`", "`order`"},
// MySQL 有前缀
{"MySQL with prefix", &MySQLDialect{}, "app_", "order", "`app_order`"},
{"MySQL with prefix and backticks", &MySQLDialect{}, "app_", "`order`", "`app_order`"},
// PostgreSQL 无前缀
{"PostgreSQL no prefix", &PostgreSQLDialect{}, "", "order", "\"order\""},
// PostgreSQL 有前缀
{"PostgreSQL with prefix", &PostgreSQLDialect{}, "app_", "order", "\"app_order\""},
{"PostgreSQL with prefix and quotes", &PostgreSQLDialect{}, "app_", "\"order\"", "\"app_order\""},
// SQLite 有前缀
{"SQLite with prefix", &SQLiteDialect{}, "app_", "user", "\"app_user\""},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
processor := NewIdentifierProcessor(tt.dialect, tt.prefix)
result := processor.ProcessTableName(tt.input)
if result != tt.expected {
t.Errorf("ProcessTableName(%q) = %q, want %q", tt.input, result, tt.expected)
}
})
}
}
// TestIdentifierProcessorColumn 测试列名处理(包括 table.column 格式)
func TestIdentifierProcessorColumn(t *testing.T) {
tests := []struct {
name string
dialect Dialect
prefix string
input string
expected string
}{
// 单独列名
{"MySQL simple column", &MySQLDialect{}, "", "name", "`name`"},
{"MySQL simple column with prefix", &MySQLDialect{}, "app_", "name", "`name`"},
// table.column 格式
{"MySQL table.column no prefix", &MySQLDialect{}, "", "order.name", "`order`.`name`"},
{"MySQL table.column with prefix", &MySQLDialect{}, "app_", "order.name", "`app_order`.`name`"},
{"MySQL table.column with backticks", &MySQLDialect{}, "app_", "`order`.name", "`app_order`.`name`"},
// PostgreSQL
{"PostgreSQL table.column with prefix", &PostgreSQLDialect{}, "app_", "order.name", "\"app_order\".\"name\""},
{"PostgreSQL table.column with quotes", &PostgreSQLDialect{}, "app_", "\"order\".name", "\"app_order\".\"name\""},
// SQLite
{"SQLite table.column with prefix", &SQLiteDialect{}, "app_", "user.email", "\"app_user\".\"email\""},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
processor := NewIdentifierProcessor(tt.dialect, tt.prefix)
result := processor.ProcessColumn(tt.input)
if result != tt.expected {
t.Errorf("ProcessColumn(%q) = %q, want %q", tt.input, result, tt.expected)
}
})
}
}
// TestIdentifierProcessorConditionString 测试条件字符串处理
func TestIdentifierProcessorConditionString(t *testing.T) {
tests := []struct {
name string
dialect Dialect
prefix string
input string
contains []string // 结果应该包含这些字符串
}{
// MySQL 简单条件
{
"MySQL simple condition",
&MySQLDialect{},
"app_",
"user.id = order.user_id",
[]string{"`app_user`", "`app_order`"},
},
// MySQL 复杂条件
{
"MySQL complex condition",
&MySQLDialect{},
"app_",
"user.id = order.user_id AND order.status = 1",
[]string{"`app_user`", "`app_order`"},
},
// PostgreSQL
{
"PostgreSQL condition",
&PostgreSQLDialect{},
"app_",
"user.id = order.user_id",
[]string{"\"app_user\"", "\"app_order\""},
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
processor := NewIdentifierProcessor(tt.dialect, tt.prefix)
result := processor.ProcessConditionString(tt.input)
for _, expected := range tt.contains {
if !strings.Contains(result, expected) {
t.Errorf("ProcessConditionString(%q) = %q, should contain %q", tt.input, result, expected)
}
}
})
}
}
// TestHoTimeDBHelperMethods 测试 HoTimeDB 的辅助方法 T() 和 C()
func TestHoTimeDBHelperMethods(t *testing.T) {
// 创建 MySQL 数据库实例
mysqlDB := &HoTimeDB{
Type: "mysql",
Prefix: "app_",
}
mysqlDB.initDialect()
// 测试 T() 方法
t.Run("MySQL T() method", func(t *testing.T) {
result := mysqlDB.T("order")
expected := "`app_order`"
if result != expected {
t.Errorf("T(\"order\") = %q, want %q", result, expected)
}
})
// 测试 C() 方法(两个参数)
t.Run("MySQL C() method with two args", func(t *testing.T) {
result := mysqlDB.C("order", "name")
expected := "`app_order`.`name`"
if result != expected {
t.Errorf("C(\"order\", \"name\") = %q, want %q", result, expected)
}
})
// 测试 C() 方法(一个参数,点号格式)
t.Run("MySQL C() method with dot notation", func(t *testing.T) {
result := mysqlDB.C("order.name")
expected := "`app_order`.`name`"
if result != expected {
t.Errorf("C(\"order.name\") = %q, want %q", result, expected)
}
})
// 创建 PostgreSQL 数据库实例
pgDB := &HoTimeDB{
Type: "postgres",
Prefix: "app_",
}
pgDB.initDialect()
// 测试 PostgreSQL 的 T() 方法
t.Run("PostgreSQL T() method", func(t *testing.T) {
result := pgDB.T("order")
expected := "\"app_order\""
if result != expected {
t.Errorf("T(\"order\") = %q, want %q", result, expected)
}
})
// 测试 PostgreSQL 的 C() 方法
t.Run("PostgreSQL C() method", func(t *testing.T) {
result := pgDB.C("order", "name")
expected := "\"app_order\".\"name\""
if result != expected {
t.Errorf("C(\"order\", \"name\") = %q, want %q", result, expected)
}
})
}
// TestWhereWithORCondition 测试 OR 条件处理是否正确添加括号
func TestWhereWithORCondition(t *testing.T) {
// 创建 MySQL 数据库实例
mysqlDB := &HoTimeDB{
Type: "mysql",
Prefix: "",
}
mysqlDB.initDialect()
// 测试 OR 与普通条件组合 (假设 A: 顺序问题)
t.Run("OR with normal condition", func(t *testing.T) {
data := Map{
"OR": Map{
"username": "test",
"phone": "123",
},
"state": 0,
}
where, params := mysqlDB.where(data)
fmt.Println("Test 1 - OR with normal condition:")
fmt.Println(" Generated WHERE:", where)
fmt.Println(" Params count:", len(params))
// 检查 OR 条件是否被括号包裹
if !strings.Contains(where, "(") || !strings.Contains(where, ")") {
t.Errorf("OR condition should be wrapped with parentheses, got: %s", where)
}
// 检查是否有 AND 连接
if !strings.Contains(where, "AND") {
t.Errorf("OR condition and normal condition should be connected with AND, got: %s", where)
}
})
// 测试纯 OR 条件(无其他普通条件)
t.Run("Pure OR condition", func(t *testing.T) {
data := Map{
"OR": Map{
"username": "test",
"phone": "123",
},
}
where, params := mysqlDB.where(data)
fmt.Println("Test 2 - Pure OR condition:")
fmt.Println(" Generated WHERE:", where)
fmt.Println(" Params count:", len(params))
// 检查 OR 条件内部应该用 OR 连接
if !strings.Contains(where, "OR") {
t.Errorf("OR condition should contain OR keyword, got: %s", where)
}
})
// 测试多个普通条件与 OR 组合 (假设 A)
t.Run("OR with multiple normal conditions", func(t *testing.T) {
data := Map{
"OR": Map{
"username": "test",
"phone": "123",
},
"state": 0,
"status": 1,
}
where, params := mysqlDB.where(data)
fmt.Println("Test 3 - OR with multiple normal conditions:")
fmt.Println(" Generated WHERE:", where)
fmt.Println(" Params count:", len(params))
// 应该有括号
if !strings.Contains(where, "(") {
t.Errorf("OR condition should be wrapped with parentheses, got: %s", where)
}
})
// 测试嵌套 AND/OR 条件 (假设 B, E)
t.Run("Nested AND/OR conditions", func(t *testing.T) {
data := Map{
"OR": Map{
"username": "test",
"AND": Map{
"phone": "123",
"status": 1,
},
},
"state": 0,
}
where, params := mysqlDB.where(data)
fmt.Println("Test 4 - Nested AND/OR conditions:")
fmt.Println(" Generated WHERE:", where)
fmt.Println(" Params count:", len(params))
})
// 测试空 OR 条件 (假设 C)
t.Run("Empty OR condition", func(t *testing.T) {
data := Map{
"OR": Map{},
"state": 0,
}
where, params := mysqlDB.where(data)
fmt.Println("Test 5 - Empty OR condition:")
fmt.Println(" Generated WHERE:", where)
fmt.Println(" Params count:", len(params))
})
// 测试 OR 与 LIMIT, ORDER 组合 (假设 D)
t.Run("OR with LIMIT and ORDER", func(t *testing.T) {
data := Map{
"OR": Map{
"username": "test",
"phone": "123",
},
"state": 0,
"ORDER": "id DESC",
"LIMIT": 10,
}
where, params := mysqlDB.where(data)
fmt.Println("Test 6 - OR with LIMIT and ORDER:")
fmt.Println(" Generated WHERE:", where)
fmt.Println(" Params count:", len(params))
})
// 测试同时有 OR 和 AND 关键字 (假设 E)
t.Run("Both OR and AND keywords", func(t *testing.T) {
data := Map{
"OR": Map{
"username": "test",
"phone": "123",
},
"AND": Map{
"type": 1,
"source": "web",
},
"state": 0,
}
where, params := mysqlDB.where(data)
fmt.Println("Test 7 - Both OR and AND keywords:")
fmt.Println(" Generated WHERE:", where)
fmt.Println(" Params count:", len(params))
})
// 测试普通条件在 OR 之前(排序后)(假设 A)
t.Run("Normal condition before OR alphabetically", func(t *testing.T) {
data := Map{
"OR": Map{
"username": "test",
"phone": "123",
},
"active": 1, // 'a' 在 'O' 之前
}
where, params := mysqlDB.where(data)
fmt.Println("Test 8 - Normal condition before OR (alphabetically):")
fmt.Println(" Generated WHERE:", where)
fmt.Println(" Params count:", len(params))
})
}
// 打印测试结果(用于调试)
func ExampleIdentifierProcessor() {
// MySQL 示例
mysqlProcessor := NewIdentifierProcessor(&MySQLDialect{}, "app_")
fmt.Println("MySQL:")
fmt.Println(" Table:", mysqlProcessor.ProcessTableName("order"))
fmt.Println(" Column:", mysqlProcessor.ProcessColumn("order.name"))
fmt.Println(" Condition:", mysqlProcessor.ProcessConditionString("user.id = order.user_id"))
// PostgreSQL 示例
pgProcessor := NewIdentifierProcessor(&PostgreSQLDialect{}, "app_")
fmt.Println("PostgreSQL:")
fmt.Println(" Table:", pgProcessor.ProcessTableName("order"))
fmt.Println(" Column:", pgProcessor.ProcessColumn("order.name"))
fmt.Println(" Condition:", pgProcessor.ProcessConditionString("user.id = order.user_id"))
// Output:
// MySQL:
// Table: `app_order`
// Column: `app_order`.`name`
// Condition: `app_user`.`id` = `app_order`.`user_id`
// PostgreSQL:
// Table: "app_order"
// Column: "app_order"."name"
// Condition: "app_user"."id" = "app_order"."user_id"
}

267
db/identifier.go Normal file
View File

@ -0,0 +1,267 @@
package db
import (
"regexp"
"strings"
)
// IdentifierProcessor 标识符处理器
// 用于处理表名、字段名的前缀添加和引号转换
type IdentifierProcessor struct {
dialect Dialect
prefix string
}
// NewIdentifierProcessor 创建标识符处理器
func NewIdentifierProcessor(dialect Dialect, prefix string) *IdentifierProcessor {
return &IdentifierProcessor{
dialect: dialect,
prefix: prefix,
}
}
// 系统数据库列表,这些数据库不添加前缀
var systemDatabases = map[string]bool{
"INFORMATION_SCHEMA": true,
"information_schema": true,
"mysql": true,
"performance_schema": true,
"sys": true,
"pg_catalog": true,
"pg_toast": true,
}
// ProcessTableName 处理表名(添加前缀+引号)
// 输入: "order" 或 "`order`" 或 "\"order\"" 或 "INFORMATION_SCHEMA.TABLES"
// 输出: "`app_order`" (MySQL) 或 "\"app_order\"" (PostgreSQL/SQLite)
// 对于 database.table 格式,会分别处理,系统数据库不添加前缀
func (p *IdentifierProcessor) ProcessTableName(name string) string {
// 去除已有的引号
name = p.stripQuotes(name)
// 检查是否包含空格(别名情况,如 "order AS o"
if strings.Contains(name, " ") {
// 处理别名情况
parts := strings.SplitN(name, " ", 2)
tableName := p.stripQuotes(parts[0])
alias := parts[1]
// 递归处理表名部分(可能包含点号)
return p.ProcessTableName(tableName) + " " + alias
}
// 检查是否包含点号database.table 格式)
if strings.Contains(name, ".") {
parts := p.splitTableColumn(name)
if len(parts) == 2 {
dbName := p.stripQuotes(parts[0])
tableName := p.stripQuotes(parts[1])
// 系统数据库不添加前缀
if systemDatabases[dbName] {
return p.dialect.QuoteIdentifier(dbName) + "." + p.dialect.QuoteIdentifier(tableName)
}
// 非系统数据库,只给表名添加前缀
return p.dialect.QuoteIdentifier(dbName) + "." + p.dialect.QuoteIdentifier(p.prefix+tableName)
}
}
// 添加前缀和引号
return p.dialect.QuoteIdentifier(p.prefix + name)
}
// ProcessTableNameNoPrefix 处理表名(只添加引号,不添加前缀)
// 用于已经包含前缀的情况
func (p *IdentifierProcessor) ProcessTableNameNoPrefix(name string) string {
name = p.stripQuotes(name)
if strings.Contains(name, " ") {
parts := strings.SplitN(name, " ", 2)
tableName := p.stripQuotes(parts[0])
alias := parts[1]
return p.dialect.QuoteIdentifier(tableName) + " " + alias
}
return p.dialect.QuoteIdentifier(name)
}
// ProcessColumn 处理 table.column 格式
// 输入: "name" 或 "order.name" 或 "`order`.name" 或 "`order`.`name`"
// 输出: "`name`" 或 "`app_order`.`name`" (MySQL)
func (p *IdentifierProcessor) ProcessColumn(name string) string {
// 检查是否包含点号
if !strings.Contains(name, ".") {
// 单独的列名,只加引号
return p.dialect.QuoteIdentifier(p.stripQuotes(name))
}
// 处理 table.column 格式
parts := p.splitTableColumn(name)
if len(parts) == 2 {
tableName := p.stripQuotes(parts[0])
columnName := p.stripQuotes(parts[1])
// 表名添加前缀
return p.dialect.QuoteIdentifier(p.prefix+tableName) + "." + p.dialect.QuoteIdentifier(columnName)
}
// 无法解析,返回原样但转换引号
return p.convertQuotes(name)
}
// ProcessColumnNoPrefix 处理 table.column 格式(不添加前缀)
func (p *IdentifierProcessor) ProcessColumnNoPrefix(name string) string {
if !strings.Contains(name, ".") {
return p.dialect.QuoteIdentifier(p.stripQuotes(name))
}
parts := p.splitTableColumn(name)
if len(parts) == 2 {
tableName := p.stripQuotes(parts[0])
columnName := p.stripQuotes(parts[1])
return p.dialect.QuoteIdentifier(tableName) + "." + p.dialect.QuoteIdentifier(columnName)
}
return p.convertQuotes(name)
}
// ProcessConditionString 智能解析条件字符串(如 ON 条件)
// 输入: "user.id = order.user_id AND order.status = 1"
// 输出: "`app_user`.`id` = `app_order`.`user_id` AND `app_order`.`status` = 1" (MySQL)
func (p *IdentifierProcessor) ProcessConditionString(condition string) string {
if condition == "" {
return condition
}
result := condition
// 首先处理已有完整引号的情况 `table`.`column` 或 "table"."column"
// 这些需要先处理,因为它们的格式最明确
fullyQuotedPattern := regexp.MustCompile("[`\"]([a-zA-Z_][a-zA-Z0-9_]*)[`\"]\\.[`\"]([a-zA-Z_][a-zA-Z0-9_]*)[`\"]")
result = fullyQuotedPattern.ReplaceAllStringFunc(result, func(match string) string {
parts := fullyQuotedPattern.FindStringSubmatch(match)
if len(parts) == 3 {
tableName := parts[1]
colName := parts[2]
return p.dialect.QuoteIdentifier(p.prefix+tableName) + "." + p.dialect.QuoteIdentifier(colName)
}
return match
})
// 然后处理部分引号的情况 `table`.column 或 "table".column
// 注意:需要避免匹配已处理的内容(已经是双引号包裹的)
quotedTablePattern := regexp.MustCompile("[`\"]([a-zA-Z_][a-zA-Z0-9_]*)[`\"]\\.([a-zA-Z_][a-zA-Z0-9_]*)(?:[^`\"]|$)")
result = quotedTablePattern.ReplaceAllStringFunc(result, func(match string) string {
parts := quotedTablePattern.FindStringSubmatch(match)
if len(parts) >= 3 {
tableName := parts[1]
colName := parts[2]
// 保留末尾字符(如果有)
suffix := ""
if len(match) > len(parts[0])-1 {
lastChar := match[len(match)-1]
if lastChar != '`' && lastChar != '"' && !isIdentChar(lastChar) {
suffix = string(lastChar)
}
}
return p.dialect.QuoteIdentifier(p.prefix+tableName) + "." + p.dialect.QuoteIdentifier(colName) + suffix
}
return match
})
// 最后处理无引号的情况 table.column
// 使用更精确的正则,确保不匹配已处理的内容
unquotedPattern := regexp.MustCompile(`([^` + "`" + `"\w]|^)([a-zA-Z_][a-zA-Z0-9_]*)\.([a-zA-Z_][a-zA-Z0-9_]*)([^` + "`" + `"\w(]|$)`)
result = unquotedPattern.ReplaceAllStringFunc(result, func(match string) string {
parts := unquotedPattern.FindStringSubmatch(match)
if len(parts) >= 5 {
prefix := parts[1] // 前面的边界字符
tableName := parts[2]
colName := parts[3]
suffix := parts[4] // 后面的边界字符
return prefix + p.dialect.QuoteIdentifier(p.prefix+tableName) + "." + p.dialect.QuoteIdentifier(colName) + suffix
}
return match
})
return result
}
// isIdentChar 判断是否是标识符字符
func isIdentChar(c byte) bool {
return (c >= 'a' && c <= 'z') || (c >= 'A' && c <= 'Z') || (c >= '0' && c <= '9') || c == '_'
}
// ProcessFieldList 处理字段列表字符串
// 输入: "order.id, user.name AS uname, COUNT(*)"
// 输出: "`app_order`.`id`, `app_user`.`name` AS uname, COUNT(*)" (MySQL)
func (p *IdentifierProcessor) ProcessFieldList(fields string) string {
if fields == "" || fields == "*" {
return fields
}
// 使用与 ProcessConditionString 相同的逻辑
return p.ProcessConditionString(fields)
}
// stripQuotes 去除标识符两端的引号(反引号或双引号)
func (p *IdentifierProcessor) stripQuotes(name string) string {
name = strings.TrimSpace(name)
// 去除反引号
if strings.HasPrefix(name, "`") && strings.HasSuffix(name, "`") {
return name[1 : len(name)-1]
}
// 去除双引号
if strings.HasPrefix(name, "\"") && strings.HasSuffix(name, "\"") {
return name[1 : len(name)-1]
}
return name
}
// splitTableColumn 分割 table.column 格式
// 支持: table.column, `table`.column, `table`.`column`, "table".column 等
func (p *IdentifierProcessor) splitTableColumn(name string) []string {
// 先尝试按点号分割
dotIndex := -1
// 查找不在引号内的点号
inQuote := false
quoteChar := byte(0)
for i := 0; i < len(name); i++ {
c := name[i]
if c == '`' || c == '"' {
if !inQuote {
inQuote = true
quoteChar = c
} else if c == quoteChar {
inQuote = false
}
} else if c == '.' && !inQuote {
dotIndex = i
break
}
}
if dotIndex == -1 {
return []string{name}
}
return []string{name[:dotIndex], name[dotIndex+1:]}
}
// convertQuotes 将已有的引号转换为当前方言的引号格式
func (p *IdentifierProcessor) convertQuotes(name string) string {
quoteChar := p.dialect.QuoteChar()
// 替换反引号
name = strings.ReplaceAll(name, "`", quoteChar)
// 如果目标是反引号,需要替换双引号
if quoteChar == "`" {
name = strings.ReplaceAll(name, "\"", quoteChar)
}
return name
}
// GetDialect 获取方言
func (p *IdentifierProcessor) GetDialect() Dialect {
return p.dialect
}
// GetPrefix 获取前缀
func (p *IdentifierProcessor) GetPrefix() string {
return p.prefix
}

View File

@ -1,12 +1,13 @@
package db
import (
. "code.hoteas.com/golang/hotime/common"
"database/sql"
"encoding/json"
"errors"
"reflect"
"strings"
. "code.hoteas.com/golang/hotime/common"
)
// md5 生成查询的 MD5 哈希(用于缓存)
@ -23,6 +24,9 @@ func (that *HoTimeDB) Query(query string, args ...interface{}) []Map {
// queryWithRetry 内部查询方法,支持重试标记
func (that *HoTimeDB) queryWithRetry(query string, retried bool, args ...interface{}) []Map {
// 预处理数组占位符 ?[]
query, args = that.expandArrayPlaceholder(query, args)
// 保存调试信息(加锁保护)
that.mu.Lock()
that.LastQuery = query
@ -82,6 +86,9 @@ func (that *HoTimeDB) Exec(query string, args ...interface{}) (sql.Result, *Erro
// execWithRetry 内部执行方法,支持重试标记
func (that *HoTimeDB) execWithRetry(query string, retried bool, args ...interface{}) (sql.Result, *Error) {
// 预处理数组占位符 ?[]
query, args = that.expandArrayPlaceholder(query, args)
// 保存调试信息(加锁保护)
that.mu.Lock()
that.LastQuery = query
@ -155,6 +162,202 @@ func (that *HoTimeDB) processArgs(args []interface{}) []interface{} {
return processedArgs
}
// expandArrayPlaceholder 展开 IN (?) / NOT IN (?) 中的数组参数
// 自动识别 IN/NOT IN (?) 模式,当参数是数组时展开为多个 ?
//
// 示例:
//
// db.Query("SELECT * FROM user WHERE id IN (?)", []int{1, 2, 3})
// // 展开为: SELECT * FROM user WHERE id IN (?, ?, ?) 参数: [1, 2, 3]
//
// db.Query("SELECT * FROM user WHERE id IN (?)", []int{})
// // 展开为: SELECT * FROM user WHERE 1=0 参数: [] (空集合的IN永假)
//
// db.Query("SELECT * FROM user WHERE id NOT IN (?)", []int{})
// // 展开为: SELECT * FROM user WHERE 1=1 参数: [] (空集合的NOT IN永真)
//
// db.Query("SELECT * FROM user WHERE id = ?", 1)
// // 保持不变: SELECT * FROM user WHERE id = ? 参数: [1]
func (that *HoTimeDB) expandArrayPlaceholder(query string, args []interface{}) (string, []interface{}) {
if len(args) == 0 || !strings.Contains(query, "?") {
return query, args
}
// 检查是否有数组参数
hasArray := false
for _, arg := range args {
if arg == nil {
continue
}
argType := reflect.ValueOf(arg).Type().String()
if strings.Contains(argType, "[]") || strings.Contains(argType, "Slice") {
hasArray = true
break
}
}
if !hasArray {
return query, args
}
newArgs := make([]interface{}, 0, len(args))
result := strings.Builder{}
argIndex := 0
for i := 0; i < len(query); i++ {
if query[i] == '?' && argIndex < len(args) {
arg := args[argIndex]
argIndex++
if arg == nil {
result.WriteByte('?')
newArgs = append(newArgs, nil)
continue
}
argType := reflect.ValueOf(arg).Type().String()
if strings.Contains(argType, "[]") || strings.Contains(argType, "Slice") {
// 是数组参数,检查是否在 IN (...) 或 NOT IN (...) 中
prevPart := result.String()
prevUpper := strings.ToUpper(prevPart)
// 查找最近的 NOT IN ( 模式
notInIndex := strings.LastIndex(prevUpper, " NOT IN (")
notInIndex2 := strings.LastIndex(prevUpper, " NOT IN(")
if notInIndex2 > notInIndex {
notInIndex = notInIndex2
}
// 查找最近的 IN ( 模式(但要排除 NOT IN 的情况)
inIndex := strings.LastIndex(prevUpper, " IN (")
inIndex2 := strings.LastIndex(prevUpper, " IN(")
if inIndex2 > inIndex {
inIndex = inIndex2
}
// 判断是 NOT IN 还是 IN
// 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
isNotIn := false
matchIndex := -1
if notInIndex != -1 {
// 检查 inIndex 是否在 notInIndex 范围内(即 NOT IN 的 IN 部分)
// NOT IN ( 的 IN ( 部分从 notInIndex + 4 开始
if inIndex != -1 && inIndex >= notInIndex && inIndex <= notInIndex+5 {
// inIndex 是 NOT IN 的一部分,使用 NOT IN
isNotIn = true
matchIndex = notInIndex
} else if inIndex == -1 || notInIndex > inIndex {
// 没有独立的 IN或 NOT IN 在 IN 之后
isNotIn = true
matchIndex = notInIndex
} else {
// 有独立的 IN 且在 NOT IN 之后
matchIndex = inIndex
}
} else if inIndex != -1 {
matchIndex = inIndex
}
// 检查 IN ( 后面是否只有空格(即当前 ? 紧跟在 IN ( 后面)
isInPattern := false
if matchIndex != -1 {
afterIn := prevPart[matchIndex:]
// 找到 ( 的位置
parenIdx := strings.Index(afterIn, "(")
if parenIdx != -1 {
afterParen := strings.TrimSpace(afterIn[parenIdx+1:])
if afterParen == "" {
isInPattern = true
}
}
}
if isInPattern {
// 在 IN (...) 或 NOT IN (...) 模式中
argList := ObjToSlice(arg)
if len(argList) == 0 {
// 空数组处理:需要找到字段名的开始位置
// 往前找最近的 AND/OR/WHERE/(,以确定条件的开始位置
truncateIndex := matchIndex
searchPart := prevUpper[:matchIndex]
// 找最近的分隔符位置
andIdx := strings.LastIndex(searchPart, " AND ")
orIdx := strings.LastIndex(searchPart, " OR ")
whereIdx := strings.LastIndex(searchPart, " WHERE ")
parenIdx := strings.LastIndex(searchPart, "(")
// 取最靠后的分隔符
sepIndex := -1
sepLen := 0
if andIdx > sepIndex {
sepIndex = andIdx
sepLen = 5 // " AND "
}
if orIdx > sepIndex {
sepIndex = orIdx
sepLen = 4 // " OR "
}
if whereIdx > sepIndex {
sepIndex = whereIdx
sepLen = 7 // " WHERE "
}
if parenIdx > sepIndex {
sepIndex = parenIdx
sepLen = 1 // "("
}
if sepIndex != -1 {
truncateIndex = sepIndex + sepLen
}
result.Reset()
result.WriteString(prevPart[:truncateIndex])
if isNotIn {
// NOT IN 空集合 = 永真
result.WriteString(" 1=1 ")
} else {
// IN 空集合 = 永假
result.WriteString(" 1=0 ")
}
// 跳过后面的 )
for j := i + 1; j < len(query); j++ {
if query[j] == ')' {
i = j
break
}
}
} else if len(argList) == 1 {
// 单元素数组
result.WriteByte('?')
newArgs = append(newArgs, argList[0])
} else {
// 多元素数组,展开为多个 ?
for j := 0; j < len(argList); j++ {
if j > 0 {
result.WriteString(", ")
}
result.WriteByte('?')
newArgs = append(newArgs, argList[j])
}
}
} else {
// 不在 IN 模式中,保持原有行为(数组会被 processArgs 转为逗号字符串)
result.WriteByte('?')
newArgs = append(newArgs, arg)
}
} else {
// 非数组参数
result.WriteByte('?')
newArgs = append(newArgs, arg)
}
} else {
result.WriteByte(query[i])
}
}
return result.String(), newArgs
}
// Row 数据库数据解析
func (that *HoTimeDB) Row(resl *sql.Rows) []Map {
dest := make([]Map, 0)

View File

@ -1,332 +0,0 @@
-- HoTimeDB 测试表结构
-- 用于测试和示例的MySQL表结构定义
-- 请根据实际需要修改表结构和字段类型
-- 创建数据库(可选)
CREATE DATABASE IF NOT EXISTS `hotimedb_test` DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;
USE `hotimedb_test`;
-- 用户表
DROP TABLE IF EXISTS `app_user`;
CREATE TABLE `app_user` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '用户ID',
`name` varchar(100) NOT NULL DEFAULT '' COMMENT '用户姓名',
`email` varchar(255) NOT NULL DEFAULT '' COMMENT '邮箱地址',
`password` varchar(255) NOT NULL DEFAULT '' COMMENT '密码hash',
`phone` varchar(20) NOT NULL DEFAULT '' COMMENT '手机号',
`age` int(11) NOT NULL DEFAULT '0' COMMENT '年龄',
`gender` tinyint(4) NOT NULL DEFAULT '0' COMMENT '性别 0-未知 1-男 2-女',
`avatar` varchar(500) NOT NULL DEFAULT '' COMMENT '头像URL',
`level` varchar(20) NOT NULL DEFAULT 'normal' COMMENT '用户等级 normal-普通 vip-会员 svip-超级会员',
`balance` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '账户余额',
`login_count` int(11) NOT NULL DEFAULT '0' COMMENT '登录次数',
`status` tinyint(4) NOT NULL DEFAULT '1' COMMENT '状态 1-正常 0-禁用 -1-删除',
`last_login` datetime DEFAULT NULL COMMENT '最后登录时间',
`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`updated_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
`deleted_at` datetime DEFAULT NULL COMMENT '删除时间',
PRIMARY KEY (`id`),
UNIQUE KEY `uk_email` (`email`),
KEY `idx_status` (`status`),
KEY `idx_level` (`level`),
KEY `idx_created_time` (`created_time`),
KEY `idx_deleted_at` (`deleted_at`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='用户表';
-- 用户资料表
DROP TABLE IF EXISTS `app_profile`;
CREATE TABLE `app_profile` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT 'ID',
`user_id` bigint(20) unsigned NOT NULL COMMENT '用户ID',
`real_name` varchar(50) NOT NULL DEFAULT '' COMMENT '真实姓名',
`id_card` varchar(20) NOT NULL DEFAULT '' COMMENT '身份证号',
`address` varchar(500) NOT NULL DEFAULT '' COMMENT '地址',
`bio` text COMMENT '个人简介',
`verified` tinyint(4) NOT NULL DEFAULT '0' COMMENT '是否认证 1-是 0-否',
`preferences` json DEFAULT NULL COMMENT '用户偏好设置JSON',
`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`updated_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (`id`),
UNIQUE KEY `uk_user_id` (`user_id`),
KEY `idx_verified` (`verified`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='用户资料表';
-- 部门表
DROP TABLE IF EXISTS `app_department`;
CREATE TABLE `app_department` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '部门ID',
`name` varchar(100) NOT NULL DEFAULT '' COMMENT '部门名称',
`parent_id` bigint(20) unsigned NOT NULL DEFAULT '0' COMMENT '上级部门ID',
`manager_id` bigint(20) unsigned NOT NULL DEFAULT '0' COMMENT '部门经理ID',
`description` text COMMENT '部门描述',
`sort` int(11) NOT NULL DEFAULT '0' COMMENT '排序',
`status` tinyint(4) NOT NULL DEFAULT '1' COMMENT '状态 1-正常 0-禁用',
`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`updated_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (`id`),
KEY `idx_parent_id` (`parent_id`),
KEY `idx_manager_id` (`manager_id`),
KEY `idx_status` (`status`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='部门表';
-- 商品表
DROP TABLE IF EXISTS `app_product`;
CREATE TABLE `app_product` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '商品ID',
`title` varchar(200) NOT NULL DEFAULT '' COMMENT '商品标题',
`description` text COMMENT '商品描述',
`price` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '商品价格',
`stock` int(11) NOT NULL DEFAULT '0' COMMENT '库存数量',
`category_id` bigint(20) unsigned NOT NULL DEFAULT '0' COMMENT '分类ID',
`brand` varchar(100) NOT NULL DEFAULT '' COMMENT '品牌',
`tags` varchar(500) NOT NULL DEFAULT '' COMMENT '标签,逗号分隔',
`images` json DEFAULT NULL COMMENT '商品图片JSON数组',
`attributes` json DEFAULT NULL COMMENT '商品属性JSON',
`sales_count` int(11) NOT NULL DEFAULT '0' COMMENT '销售数量',
`view_count` int(11) NOT NULL DEFAULT '0' COMMENT '浏览数量',
`sort` int(11) NOT NULL DEFAULT '0' COMMENT '排序',
`status` tinyint(4) NOT NULL DEFAULT '1' COMMENT '状态 1-上架 0-下架',
`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`updated_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (`id`),
KEY `idx_category_id` (`category_id`),
KEY `idx_price` (`price`),
KEY `idx_status` (`status`),
KEY `idx_created_time` (`created_time`),
FULLTEXT KEY `ft_title_description` (`title`,`description`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='商品表';
-- 订单表
DROP TABLE IF EXISTS `app_order`;
CREATE TABLE `app_order` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '订单ID',
`order_no` varchar(50) NOT NULL DEFAULT '' COMMENT '订单号',
`user_id` bigint(20) unsigned NOT NULL COMMENT '用户ID',
`product_id` bigint(20) unsigned NOT NULL COMMENT '商品ID',
`quantity` int(11) NOT NULL DEFAULT '1' COMMENT '数量',
`price` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '单价',
`amount` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '总金额',
`discount_amount` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '优惠金额',
`final_amount` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '实付金额',
`status` varchar(20) NOT NULL DEFAULT 'pending' COMMENT '订单状态 pending-待付款 paid-已付款 shipped-已发货 completed-已完成 cancelled-已取消',
`payment_method` varchar(20) NOT NULL DEFAULT '' COMMENT '支付方式',
`shipping_address` json DEFAULT NULL COMMENT '收货地址JSON',
`remark` text COMMENT '订单备注',
`paid_time` datetime DEFAULT NULL COMMENT '支付时间',
`shipped_time` datetime DEFAULT NULL COMMENT '发货时间',
`completed_time` datetime DEFAULT NULL COMMENT '完成时间',
`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`updated_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (`id`),
UNIQUE KEY `uk_order_no` (`order_no`),
KEY `idx_user_id` (`user_id`),
KEY `idx_product_id` (`product_id`),
KEY `idx_status` (`status`),
KEY `idx_created_time` (`created_time`),
KEY `idx_paid_time` (`paid_time`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='订单表';
-- 订单详情表
DROP TABLE IF EXISTS `app_order_detail`;
CREATE TABLE `app_order_detail` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT 'ID',
`order_id` bigint(20) unsigned NOT NULL COMMENT '订单ID',
`product_id` bigint(20) unsigned NOT NULL COMMENT '商品ID',
`product_title` varchar(200) NOT NULL DEFAULT '' COMMENT '商品标题',
`product_image` varchar(500) NOT NULL DEFAULT '' COMMENT '商品图片',
`price` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '单价',
`quantity` int(11) NOT NULL DEFAULT '1' COMMENT '数量',
`amount` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '小计',
`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
PRIMARY KEY (`id`),
KEY `idx_order_id` (`order_id`),
KEY `idx_product_id` (`product_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='订单详情表';
-- 支付日志表
DROP TABLE IF EXISTS `app_payment_log`;
CREATE TABLE `app_payment_log` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT 'ID',
`user_id` bigint(20) unsigned NOT NULL COMMENT '用户ID',
`order_id` bigint(20) unsigned DEFAULT NULL COMMENT '订单ID',
`transaction_id` varchar(100) NOT NULL DEFAULT '' COMMENT '交易ID',
`type` varchar(20) NOT NULL DEFAULT '' COMMENT '类型 order_payment-订单支付 recharge-充值 refund-退款',
`amount` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '金额',
`method` varchar(20) NOT NULL DEFAULT '' COMMENT '支付方式 balance-余额 alipay-支付宝 wechat-微信',
`status` varchar(20) NOT NULL DEFAULT 'pending' COMMENT '状态 pending-处理中 success-成功 failed-失败',
`description` varchar(255) NOT NULL DEFAULT '' COMMENT '描述',
`extra_data` json DEFAULT NULL COMMENT '额外数据JSON',
`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`updated_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (`id`),
KEY `idx_user_id` (`user_id`),
KEY `idx_order_id` (`order_id`),
KEY `idx_transaction_id` (`transaction_id`),
KEY `idx_type` (`type`),
KEY `idx_status` (`status`),
KEY `idx_created_time` (`created_time`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='支付日志表';
-- 转账日志表
DROP TABLE IF EXISTS `app_transfer_log`;
CREATE TABLE `app_transfer_log` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT 'ID',
`from_user_id` bigint(20) unsigned NOT NULL COMMENT '转出用户ID',
`to_user_id` bigint(20) unsigned NOT NULL COMMENT '转入用户ID',
`amount` decimal(10,2) NOT NULL DEFAULT '0.00' COMMENT '转账金额',
`type` varchar(20) NOT NULL DEFAULT 'transfer' COMMENT '类型',
`status` varchar(20) NOT NULL DEFAULT 'success' COMMENT '状态',
`description` varchar(255) NOT NULL DEFAULT '' COMMENT '描述',
`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
PRIMARY KEY (`id`),
KEY `idx_from_user_id` (`from_user_id`),
KEY `idx_to_user_id` (`to_user_id`),
KEY `idx_created_time` (`created_time`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='转账日志表';
-- 操作日志表
DROP TABLE IF EXISTS `app_operation_log`;
CREATE TABLE `app_operation_log` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT 'ID',
`user_id` bigint(20) unsigned NOT NULL DEFAULT '0' COMMENT '用户ID',
`module` varchar(50) NOT NULL DEFAULT '' COMMENT '模块',
`action` varchar(50) NOT NULL DEFAULT '' COMMENT '操作',
`description` varchar(255) NOT NULL DEFAULT '' COMMENT '描述',
`ip` varchar(45) NOT NULL DEFAULT '' COMMENT 'IP地址',
`user_agent` varchar(500) NOT NULL DEFAULT '' COMMENT '用户代理',
`request_data` json DEFAULT NULL COMMENT '请求数据JSON',
`response_data` json DEFAULT NULL COMMENT '响应数据JSON',
`status` tinyint(4) NOT NULL DEFAULT '1' COMMENT '状态 1-成功 0-失败',
`execution_time` int(11) NOT NULL DEFAULT '0' COMMENT '执行时间(毫秒)',
`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
PRIMARY KEY (`id`),
KEY `idx_user_id` (`user_id`),
KEY `idx_module` (`module`),
KEY `idx_action` (`action`),
KEY `idx_created_time` (`created_time`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='操作日志表';
-- 缓存表HoTimeDB内置缓存使用
DROP TABLE IF EXISTS `app_cached`;
CREATE TABLE `app_cached` (
`key` varchar(255) NOT NULL COMMENT '缓存键',
`value` longtext COMMENT '缓存值',
`expire_time` datetime DEFAULT NULL COMMENT '过期时间',
`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`updated_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
PRIMARY KEY (`key`),
KEY `idx_expire_time` (`expire_time`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='缓存表';
-- 批量用户表(用于批量操作示例)
DROP TABLE IF EXISTS `app_user_batch`;
CREATE TABLE `app_user_batch` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT 'ID',
`name` varchar(100) NOT NULL DEFAULT '' COMMENT '用户姓名',
`email` varchar(255) NOT NULL DEFAULT '' COMMENT '邮箱地址',
`status` tinyint(4) NOT NULL DEFAULT '1' COMMENT '状态',
`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
PRIMARY KEY (`id`),
KEY `idx_created_time` (`created_time`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='批量用户表';
-- 插入测试数据
INSERT INTO `app_user` (`name`, `email`, `password`, `age`, `level`, `balance`, `status`, `created_time`) VALUES
('张三', 'zhangsan@example.com', 'hashed_password_1', 25, 'normal', 1000.00, 1, '2023-01-15 10:30:00'),
('李四', 'lisi@example.com', 'hashed_password_2', 30, 'vip', 5000.00, 1, '2023-02-20 14:20:00'),
('王五', 'wangwu@example.com', 'hashed_password_3', 28, 'svip', 10000.00, 1, '2023-03-10 16:45:00'),
('赵六', 'zhaoliu@example.com', 'hashed_password_4', 35, 'normal', 500.00, 1, '2023-04-05 09:15:00'),
('钱七', 'qianqi@example.com', 'hashed_password_5', 22, 'vip', 2500.00, 0, '2023-05-12 11:30:00');
INSERT INTO `app_profile` (`user_id`, `real_name`, `verified`) VALUES
(1, '张三', 1),
(2, '李四', 1),
(3, '王五', 1),
(4, '赵六', 0),
(5, '钱七', 0);
INSERT INTO `app_department` (`name`, `parent_id`, `description`) VALUES
('技术部', 0, '负责技术开发和维护'),
('产品部', 0, '负责产品设计和规划'),
('市场部', 0, '负责市场推广和销售'),
('前端组', 1, '负责前端开发'),
('后端组', 1, '负责后端开发');
INSERT INTO `app_product` (`title`, `description`, `price`, `stock`, `category_id`, `brand`, `sales_count`) VALUES
('苹果手机', '最新款苹果手机,性能强劲', 6999.00, 100, 1, '苹果', 50),
('华为手机', '国产精品手机,拍照出色', 4999.00, 200, 1, '华为', 80),
('小米手机', '性价比之王,配置丰富', 2999.00, 300, 1, '小米', 120),
('联想笔记本', '商务办公首选,稳定可靠', 5999.00, 50, 2, '联想', 30),
('戴尔笔记本', '游戏性能出色,散热良好', 8999.00, 30, 2, '戴尔', 15);
INSERT INTO `app_order` (`order_no`, `user_id`, `product_id`, `quantity`, `price`, `amount`, `final_amount`, `status`, `created_time`) VALUES
('ORD202301150001', 1, 1, 1, 6999.00, 6999.00, 6999.00, 'paid', '2023-01-15 15:30:00'),
('ORD202301160001', 2, 2, 2, 4999.00, 9998.00, 9998.00, 'paid', '2023-01-16 10:20:00'),
('ORD202301170001', 3, 3, 1, 2999.00, 2999.00, 2999.00, 'completed', '2023-01-17 14:15:00'),
('ORD202301180001', 1, 4, 1, 5999.00, 5999.00, 5999.00, 'pending', '2023-01-18 16:45:00'),
('ORD202301190001', 4, 5, 1, 8999.00, 8999.00, 8999.00, 'cancelled', '2023-01-19 11:30:00');
INSERT INTO `app_order_detail` (`order_id`, `product_id`, `product_title`, `price`, `quantity`, `amount`) VALUES
(1, 1, '苹果手机', 6999.00, 1, 6999.00),
(2, 2, '华为手机', 4999.00, 2, 9998.00),
(3, 3, '小米手机', 2999.00, 1, 2999.00),
(4, 4, '联想笔记本', 5999.00, 1, 5999.00),
(5, 5, '戴尔笔记本', 8999.00, 1, 8999.00);
INSERT INTO `app_payment_log` (`user_id`, `order_id`, `type`, `amount`, `method`, `status`, `description`) VALUES
(1, 1, 'order_payment', 6999.00, 'balance', 'success', '订单支付'),
(2, 2, 'order_payment', 9998.00, 'alipay', 'success', '订单支付'),
(3, 3, 'order_payment', 2999.00, 'wechat', 'success', '订单支付'),
(2, NULL, 'recharge', 10000.00, 'alipay', 'success', '账户充值'),
(3, NULL, 'recharge', 5000.00, 'wechat', 'success', '账户充值');
-- 创建索引优化查询性能
CREATE INDEX idx_user_email_status ON app_user(email, status);
CREATE INDEX idx_order_user_status ON app_order(user_id, status);
CREATE INDEX idx_order_created_status ON app_order(created_time, status);
CREATE INDEX idx_product_category_status ON app_product(category_id, status);
-- 创建视图(可选)
CREATE OR REPLACE VIEW v_user_order_stats AS
SELECT
u.id as user_id,
u.name as user_name,
u.email,
u.level,
COUNT(o.id) as order_count,
COALESCE(SUM(o.final_amount), 0) as total_amount,
COALESCE(AVG(o.final_amount), 0) as avg_amount,
MAX(o.created_time) as last_order_time
FROM app_user u
LEFT JOIN app_order o ON u.id = o.user_id AND o.status IN ('paid', 'completed')
WHERE u.status = 1
GROUP BY u.id;
-- 存储过程示例(可选)
DELIMITER //
CREATE PROCEDURE GetUserOrderSummary(IN p_user_id BIGINT)
BEGIN
SELECT
u.name,
u.email,
u.level,
u.balance,
COUNT(o.id) as order_count,
COALESCE(SUM(CASE WHEN o.status = 'paid' THEN o.final_amount END), 0) as paid_amount,
COALESCE(SUM(CASE WHEN o.status = 'completed' THEN o.final_amount END), 0) as completed_amount
FROM app_user u
LEFT JOIN app_order o ON u.id = o.user_id
WHERE u.id = p_user_id AND u.status = 1
GROUP BY u.id;
END //
DELIMITER ;
-- 显示表结构信息
SELECT
TABLE_NAME as '表名',
TABLE_COMMENT as '表注释',
TABLE_ROWS as '预估行数',
ROUND(DATA_LENGTH/1024/1024, 2) as '数据大小(MB)'
FROM information_schema.TABLES
WHERE TABLE_SCHEMA = DATABASE() AND TABLE_NAME LIKE 'app_%'
ORDER BY TABLE_NAME;

View File

@ -70,8 +70,8 @@ func (that *HoTimeDB) where(data Map) (string, []interface{}) {
}
sort.Strings(testQu)
// 追踪普通条件数量,用于自动添加 AND
normalCondCount := 0
// 追踪条件数量,用于自动添加 AND
condCount := 0
for _, k := range testQu {
v := data[k]
@ -79,8 +79,16 @@ func (that *HoTimeDB) where(data Map) (string, []interface{}) {
// 检查是否是 AND/OR 条件关键字
if isConditionKey(k) {
tw, ts := that.cond(strings.ToUpper(k), v.(Map))
where += tw
if tw != "" && strings.TrimSpace(tw) != "" {
// 与前面的条件用 AND 连接
if condCount > 0 {
where += " AND "
}
// 用括号包裹 OR/AND 组条件
where += "(" + strings.TrimSpace(tw) + ")"
condCount++
res = append(res, ts...)
}
continue
}
@ -90,37 +98,61 @@ func (that *HoTimeDB) where(data Map) (string, []interface{}) {
}
// 处理普通条件字段
// 空切片的 IN 条件应该生成永假条件1=0而不是跳过
if v != nil && reflect.ValueOf(v).Type().String() == "common.Slice" && len(v.(Slice)) == 0 {
// 检查是否是 NOT IN带 [!] 后缀)- NOT IN 空数组永真,跳过即可
if !strings.HasSuffix(k, "[!]") {
// IN 空数组 -> 生成永假条件
if condCount > 0 {
where += " AND "
}
where += "1=0 "
condCount++
}
continue
}
if v != nil && strings.Contains(reflect.ValueOf(v).Type().String(), "[]") && len(ObjToSlice(v)) == 0 {
// 检查是否是 NOT IN带 [!] 后缀)- NOT IN 空数组永真,跳过即可
if !strings.HasSuffix(k, "[!]") {
// IN 空数组 -> 生成永假条件
if condCount > 0 {
where += " AND "
}
where += "1=0 "
condCount++
}
continue
}
tv, vv := that.varCond(k, v)
if tv != "" {
// 自动添加 AND 连接符
if normalCondCount > 0 {
if condCount > 0 {
where += " AND "
}
where += tv
normalCondCount++
condCount++
res = append(res, vv...)
}
}
// 添加 WHERE 关键字
if len(where) != 0 {
// 先去除首尾空格,检查是否有实际条件内容
trimmedWhere := strings.TrimSpace(where)
if len(trimmedWhere) != 0 {
hasWhere := true
for _, v := range vcond {
if strings.Index(where, v) == 0 {
if strings.Index(trimmedWhere, v) == 0 {
hasWhere = false
}
}
if hasWhere {
where = " WHERE " + where + " "
where = " WHERE " + trimmedWhere + " "
}
} else {
// 没有实际条件内容,重置 where
where = ""
}
// 处理特殊字符按固定顺序GROUP, HAVING, ORDER, LIMIT, OFFSET
@ -182,6 +214,7 @@ func (that *HoTimeDB) varCond(k string, v interface{}) (string, []interface{}) {
where := ""
res := make([]interface{}, 0)
length := len(k)
processor := that.GetProcessor()
if k == "[#]" {
k = strings.Replace(k, "[#]", "", -1)
@ -195,73 +228,53 @@ func (that *HoTimeDB) varCond(k string, v interface{}) (string, []interface{}) {
switch Substr(k, length-3, 3) {
case "[>]":
k = strings.Replace(k, "[>]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += k + ">? "
res = append(res, v)
case "[<]":
k = strings.Replace(k, "[<]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += k + "<? "
res = append(res, v)
case "[!]":
k = strings.Replace(k, "[!]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where, res = that.notIn(k, v, where, res)
case "[#]":
k = strings.Replace(k, "[#]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += " " + k + "=" + ObjToStr(v) + " "
case "[##]": // 直接添加value到sql需要考虑防注入
where += " " + ObjToStr(v)
case "[#!]":
k = strings.Replace(k, "[#!]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += " " + k + "!=" + ObjToStr(v) + " "
case "[!#]":
k = strings.Replace(k, "[!#]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += " " + k + "!=" + ObjToStr(v) + " "
case "[~]":
k = strings.Replace(k, "[~]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += k + " LIKE ? "
v = "%" + ObjToStr(v) + "%"
res = append(res, v)
case "[!~]": // 左边任意
k = strings.Replace(k, "[!~]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += k + " LIKE ? "
v = "%" + ObjToStr(v) + ""
res = append(res, v)
case "[~!]": // 右边任意
k = strings.Replace(k, "[~!]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += k + " LIKE ? "
v = ObjToStr(v) + "%"
res = append(res, v)
case "[~~]": // 手动任意
k = strings.Replace(k, "[~~]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += k + " LIKE ? "
res = append(res, v)
default:
@ -272,32 +285,24 @@ func (that *HoTimeDB) varCond(k string, v interface{}) (string, []interface{}) {
switch Substr(k, length-4, 4) {
case "[>=]":
k = strings.Replace(k, "[>=]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += k + ">=? "
res = append(res, v)
case "[<=]":
k = strings.Replace(k, "[<=]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += k + "<=? "
res = append(res, v)
case "[><]":
k = strings.Replace(k, "[><]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += k + " NOT BETWEEN ? AND ? "
vs := ObjToSlice(v)
res = append(res, vs[0])
res = append(res, vs[1])
case "[<>]":
k = strings.Replace(k, "[<>]", "", -1)
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
k = processor.ProcessColumn(k) + " "
where += k + " BETWEEN ? AND ? "
vs := ObjToSlice(v)
res = append(res, vs[0])
@ -315,13 +320,14 @@ func (that *HoTimeDB) varCond(k string, v interface{}) (string, []interface{}) {
// handleDefaultCondition 处理默认条件(带方括号但不是特殊操作符)
func (that *HoTimeDB) handleDefaultCondition(k string, v interface{}, where string, res []interface{}) (string, []interface{}) {
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
processor := that.GetProcessor()
k = processor.ProcessColumn(k) + " "
if reflect.ValueOf(v).Type().String() == "common.Slice" || strings.Contains(reflect.ValueOf(v).Type().String(), "[]") {
vs := ObjToSlice(v)
if len(vs) == 0 {
// IN 空数组 -> 生成永假条件
where += "1=0 "
return where, res
}
@ -343,15 +349,16 @@ func (that *HoTimeDB) handleDefaultCondition(k string, v interface{}, where stri
// handlePlainField 处理普通字段(无方括号)
func (that *HoTimeDB) handlePlainField(k string, v interface{}, where string, res []interface{}) (string, []interface{}) {
if !strings.Contains(k, ".") {
k = "`" + k + "` "
}
processor := that.GetProcessor()
k = processor.ProcessColumn(k) + " "
if v == nil {
where += k + " IS NULL "
} else if reflect.ValueOf(v).Type().String() == "common.Slice" || strings.Contains(reflect.ValueOf(v).Type().String(), "[]") {
vs := ObjToSlice(v)
if len(vs) == 0 {
// IN 空数组 -> 生成永假条件
where += "1=0 "
return where, res
}

View File

@ -0,0 +1,468 @@
# HoTime 代码生成器使用说明
`code` 包提供了 HoTime 框架的自动代码生成功能,能够根据数据库表结构自动生成 CRUD 接口代码和配置文件。
## 目录
- [功能概述](#功能概述)
- [配置说明](#配置说明)
- [使用方法](#使用方法)
- [生成规则](#生成规则)
- [自定义规则](#自定义规则)
- [生成的代码结构](#生成的代码结构)
---
## 功能概述
代码生成器可以:
1. **自动读取数据库表结构** - 支持 MySQL 和 SQLite
2. **生成 CRUD 接口** - 增删改查、搜索、分页
3. **生成配置文件** - 表字段配置、菜单配置、权限配置
4. **智能字段识别** - 根据字段名自动识别类型和权限
5. **支持表关联** - 自动识别外键关系
---
## 配置说明
`config.json` 中配置代码生成:
```json
{
"codeConfig": [
{
"table": "admin",
"config": "config/admin.json",
"configDB": "config/adminDB.json",
"rule": "config/rule.json",
"name": "",
"mode": 0
}
]
}
```
### 配置项说明
| 配置项 | 必须 | 说明 |
|--------|------|------|
| `table` | ✅ | 用户表名,用于权限控制的基准表 |
| `config` | ✅ | 接口描述配置文件路径 |
| `configDB` | ❌ | 数据库结构配置输出路径,有则每次自动生成 |
| `rule` | ❌ | 字段规则配置文件,无则使用默认规则 |
| `name` | ❌ | 生成代码的包名和目录名,空则使用内嵌模式 |
| `mode` | ❌ | 0=内嵌代码模式1=生成代码模式 |
### 运行模式
- **mode=0内嵌模式**:不生成独立代码文件,使用框架内置的通用控制器
- **mode=1生成模式**:为每张表生成独立的 Go 控制器文件
---
## 使用方法
### 1. 基础配置
```json
{
"mode": 2,
"codeConfig": [
{
"table": "admin",
"config": "config/admin.json",
"rule": "config/rule.json",
"mode": 0
}
]
}
```
### 2. 启动应用
```go
package main
import (
. "code.hoteas.com/golang/hotime"
. "code.hoteas.com/golang/hotime/common"
)
func main() {
app := Init("config/config.json")
// 代码生成器在 Init 时自动执行
// 会读取数据库结构并生成配置
app.Run(Router{
// 路由配置
})
}
```
### 3. 开发模式
`config.json` 中设置 `"mode": 2`(开发模式)时:
- 自动读取数据库表结构
- 自动生成/更新配置文件
- 自动生成代码(如果 codeConfig.mode=1
---
## 生成规则
### 默认字段规则
代码生成器内置了一套默认的字段识别规则:
| 字段名 | 列表显示 | 新增 | 编辑 | 详情 | 类型 |
|--------|----------|------|------|------|------|
| `id` | ✅ | ❌ | ❌ | ✅ | number |
| `name` | ✅ | ✅ | ✅ | ✅ | text |
| `status` | ✅ | ✅ | ✅ | ✅ | select |
| `create_time` | ❌ | ❌ | ❌ | ✅ | time |
| `modify_time` | ✅ | ❌ | ❌ | ✅ | time |
| `password` | ❌ | ✅ | ✅ | ❌ | password |
| `image/img/avatar` | ❌ | ✅ | ✅ | ✅ | image |
| `file` | ❌ | ✅ | ✅ | ✅ | file |
| `content/info` | ❌ | ✅ | ✅ | ✅ | textArea |
| `parent_id` | ✅ | ✅ | ✅ | ✅ | number |
| `parent_ids/index` | ❌ | ❌ | ❌ | ❌ | index |
| `delete` | ❌ | ❌ | ❌ | ❌ | - |
### 数据类型映射
数据库字段类型自动映射:
| 数据库类型 | 生成类型 |
|------------|----------|
| `int`, `integer`, `float`, `double`, `decimal` | number |
| `char`, `varchar`, `text`, `blob` | text |
| `date`, `datetime`, `time`, `timestamp`, `year` | time |
### 字段备注解析
支持从数据库字段备注中提取信息:
```sql
-- 字段备注格式: 标签名:选项1-名称1,选项2-名称2 {提示信息}
-- 例如:
status TINYINT COMMENT '状态:0-禁用,1-启用 {用户账号状态}'
```
生成的配置:
```json
{
"name": "status",
"label": "状态",
"type": "select",
"ps": "用户账号状态",
"options": [
{"name": "禁用", "value": "0"},
{"name": "启用", "value": "1"}
]
}
```
---
## 自定义规则
### rule.json 配置
创建 `config/rule.json` 自定义字段规则:
```json
[
{
"name": "id",
"list": true,
"add": false,
"edit": false,
"info": true,
"must": false,
"strict": true,
"type": ""
},
{
"name": "status",
"list": true,
"add": true,
"edit": true,
"info": true,
"must": false,
"strict": false,
"type": "select"
},
{
"name": "user.special_field",
"list": true,
"add": true,
"edit": true,
"info": true,
"type": "text",
"strict": true
}
]
```
### 规则字段说明
| 字段 | 说明 |
|------|------|
| `name` | 字段名,支持 `表名.字段名` 格式精确匹配 |
| `list` | 是否在列表中显示 |
| `add` | 是否在新增表单中显示 |
| `edit` | 是否在编辑表单中显示 |
| `info` | 是否在详情中显示 |
| `must` | 是否必填 |
| `strict` | 是否严格匹配字段名false 则模糊匹配) |
| `type` | 字段类型(覆盖自动识别) |
### 字段类型
| 类型 | 说明 |
|------|------|
| `text` | 普通文本输入 |
| `textArea` | 多行文本 |
| `number` | 数字输入 |
| `select` | 下拉选择 |
| `time` | 时间选择器 |
| `unixTime` | Unix 时间戳 |
| `image` | 图片上传 |
| `file` | 文件上传 |
| `password` | 密码输入 |
| `money` | 金额(带格式化) |
| `index` | 索引字段(不显示) |
| `tree` | 树形选择 |
| `form` | 表单配置 |
| `auth` | 权限配置 |
---
## 生成的代码结构
### 内嵌模式 (mode=0)
不生成代码文件,使用框架内置控制器,只生成配置文件:
```
config/
├── admin.json # 接口配置
├── adminDB.json # 数据库结构配置(可选)
└── rule.json # 字段规则
```
### 生成模式 (mode=1)
生成独立的控制器代码:
```
admin/ # 生成的包目录
├── init.go # 包初始化和路由注册
├── user.go # user 表控制器
├── role.go # role 表控制器
└── ... # 其他表控制器
```
### 生成的控制器结构
```go
package admin
var userCtr = Ctr{
"info": func(that *Context) {
// 查询单条记录
},
"add": func(that *Context) {
// 新增记录
},
"update": func(that *Context) {
// 更新记录
},
"remove": func(that *Context) {
// 删除记录
},
"search": func(that *Context) {
// 搜索列表(分页)
},
}
```
---
## 配置文件结构
### admin.json 示例
```json
{
"name": "admin",
"label": "管理平台",
"menus": [
{
"label": "系统管理",
"name": "sys",
"icon": "Setting",
"menus": [
{
"label": "用户管理",
"table": "user",
"auth": ["show", "add", "delete", "edit", "info", "download"]
},
{
"label": "角色管理",
"table": "role",
"auth": ["show", "add", "delete", "edit", "info"]
}
]
}
],
"tables": {
"user": {
"label": "用户",
"table": "user",
"auth": ["show", "add", "delete", "edit", "info", "download"],
"columns": [
{"name": "id", "type": "number", "label": "ID"},
{"name": "name", "type": "text", "label": "用户名"},
{"name": "status", "type": "select", "label": "状态",
"options": [{"name": "禁用", "value": "0"}, {"name": "启用", "value": "1"}]}
],
"search": [
{"type": "search", "name": "keyword", "label": "请输入关键词"},
{"type": "search", "name": "daterange", "label": "时间段"}
]
}
}
}
```
---
## 外键关联
### 自动识别
代码生成器会自动识别 `_id` 结尾的字段作为外键:
```sql
-- user 表
CREATE TABLE user (
id INT PRIMARY KEY,
name VARCHAR(50),
role_id INT, -- 自动关联 role 表
org_id INT -- 自动关联 org 表
);
```
生成的配置会包含 `link``value` 字段:
```json
{
"name": "role_id",
"type": "number",
"label": "角色",
"link": "role",
"value": "name"
}
```
### 树形结构
`parent_id` 字段会被识别为树形结构的父级关联:
```json
{
"name": "parent_id",
"type": "number",
"label": "上级",
"link": "org",
"value": "name"
}
```
---
## 权限控制
### 数据权限
配置 `flow` 实现数据权限控制:
```json
{
"flow": {
"order": {
"table": "order",
"stop": false,
"sql": {
"user_id": "id"
}
}
}
}
```
- `stop`: 是否禁止修改该表
- `sql`: 数据过滤条件,`user_id = 当前用户.id`
### 操作权限
每张表可配置的权限:
| 权限 | 说明 |
|------|------|
| `show` | 查看列表 |
| `add` | 新增 |
| `edit` | 编辑 |
| `delete` | 删除 |
| `info` | 查看详情 |
| `download` | 下载导出 |
---
## 最佳实践
### 1. 开发流程
1. 设置 `config.json``mode: 2`(开发模式)
2. 设计数据库表结构,添加字段备注
3. 启动应用,自动生成配置
4. 检查生成的配置文件,按需调整
5. 生产环境改为 `mode: 0`
### 2. 字段命名规范
```sql
-- 推荐的命名方式
id -- 主键
name -- 名称
status -- 状态(自动识别为 select
create_time -- 创建时间
modify_time -- 修改时间
xxx_id -- 外键关联
parent_id -- 树形结构父级
avatar -- 头像(自动识别为 image
content -- 内容(自动识别为 textArea
```
### 3. 自定义扩展
如果默认规则不满足需求,可以:
1. 修改 `rule.json` 添加自定义规则
2. 使用 `mode=1` 生成代码后手动修改
3. 在生成的配置文件中直接调整字段属性
---
## 相关文档
- [快速上手指南](QUICKSTART.md)
- [HoTimeDB 使用说明](HoTimeDB_使用说明.md)
- [Common 工具类使用说明](Common_工具类使用说明.md)

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@ -0,0 +1,484 @@
# HoTime Common 工具类使用说明
`common` 包提供了 HoTime 框架的核心数据类型和工具函数,包括 `Map``Slice``Obj` 类型及丰富的类型转换函数。
## 目录
- [核心数据类型](#核心数据类型)
- [Map 类型](#map-类型)
- [Slice 类型](#slice-类型)
- [Obj 类型](#obj-类型)
- [类型转换函数](#类型转换函数)
- [工具函数](#工具函数)
- [错误处理](#错误处理)
---
## 核心数据类型
### Map 类型
`Map``map[string]interface{}` 的别名,提供了丰富的链式调用方法。
```go
import . "code.hoteas.com/golang/hotime/common"
// 创建 Map
data := Map{
"name": "张三",
"age": 25,
"score": 98.5,
"active": true,
"tags": Slice{"Go", "Web"},
}
```
#### 获取值方法
```go
// 获取字符串
name := data.GetString("name") // "张三"
// 获取整数
age := data.GetInt("age") // 25
age64 := data.GetInt64("age") // int64(25)
// 获取浮点数
score := data.GetFloat64("score") // 98.5
// 获取布尔值
active := data.GetBool("active") // true
// 获取嵌套 Map
info := data.GetMap("info") // 返回 Map 类型
// 获取 Slice
tags := data.GetSlice("tags") // 返回 Slice 类型
// 获取时间
createTime := data.GetTime("create_time") // 返回 *time.Time
// 获取原始值
raw := data.Get("name") // interface{}
```
#### 向上取整方法
```go
// 向上取整获取整数
ceilInt := data.GetCeilInt("score") // 99
ceilInt64 := data.GetCeilInt64("score") // int64(99)
ceilFloat := data.GetCeilFloat64("score") // 99.0
```
#### 操作方法
```go
// 添加/修改值
data.Put("email", "test@example.com")
// 删除值
data.Delete("email")
// 转换为 JSON 字符串
jsonStr := data.ToJsonString()
// 从 JSON 字符串解析
data.JsonToMap(`{"key": "value"}`)
```
#### 有序遍历
```go
// 按 key 字母顺序遍历
data.RangeSort(func(k string, v interface{}) bool {
fmt.Printf("%s: %v\n", k, v)
return false // 返回 true 则终止遍历
})
```
#### 转换为结构体
```go
type User struct {
Name string
Age int64
Score float64
}
var user User
data.ToStruct(&user) // 传入指针,字段名首字母大写匹配
```
---
### Slice 类型
`Slice``[]interface{}` 的别名,提供类似 Map 的链式调用方法。
```go
// 创建 Slice
list := Slice{
Map{"id": 1, "name": "Alice"},
Map{"id": 2, "name": "Bob"},
"text",
123,
}
```
#### 获取值方法
```go
// 按索引获取值(类型转换)
str := list.GetString(2) // "text"
num := list.GetInt(3) // 123
num64 := list.GetInt64(3) // int64(123)
f := list.GetFloat64(3) // 123.0
b := list.GetBool(3) // true (非0为true)
// 获取嵌套类型
item := list.GetMap(0) // Map{"id": 1, "name": "Alice"}
subList := list.GetSlice(0) // 尝试转换为 Slice
// 获取原始值
raw := list.Get(0) // interface{}
// 获取时间
t := list.GetTime(0) // *time.Time
```
#### 向上取整方法
```go
ceilInt := list.GetCeilInt(3)
ceilInt64 := list.GetCeilInt64(3)
ceilFloat := list.GetCeilFloat64(3)
```
#### 操作方法
```go
// 修改指定位置的值
list.Put(0, "new value")
// 转换为 JSON 字符串
jsonStr := list.ToJsonString()
```
---
### Obj 类型
`Obj` 是一个通用的对象包装器,用于链式类型转换,常用于 `Context` 方法的返回值。
```go
type Obj struct {
Data interface{} // 原始数据
Error // 错误信息
}
```
#### 使用示例
```go
obj := &Obj{Data: "123"}
// 链式类型转换
i := obj.ToInt() // 123
i64 := obj.ToInt64() // int64(123)
f := obj.ToFloat64() // 123.0
s := obj.ToStr() // "123"
b := obj.ToBool() // true
// 复杂类型转换
m := obj.ToMap() // 尝试转换为 Map
sl := obj.ToSlice() // 尝试转换为 Slice
arr := obj.ToMapArray() // 转换为 []Map
// 获取原始值
raw := obj.ToObj() // interface{}
// 获取时间
t := obj.ToTime() // *time.Time
// 向上取整
ceil := obj.ToCeilInt()
ceil64 := obj.ToCeilInt64()
ceilF := obj.ToCeilFloat64()
```
#### 在 Context 中的应用
```go
func handler(that *Context) {
// ReqData 返回 *Obj支持链式调用
userId := that.ReqData("user_id").ToInt()
name := that.ReqData("name").ToStr()
// Session 也返回 *Obj
adminId := that.Session("admin_id").ToInt64()
}
```
---
## 类型转换函数
`common` 包提供了一系列全局类型转换函数。
### 基础转换
```go
// 转字符串
str := ObjToStr(123) // "123"
str := ObjToStr(3.14) // "3.14"
str := ObjToStr(Map{"a": 1}) // JSON 格式字符串
// 转整数
i := ObjToInt("123") // 123
i64 := ObjToInt64("123") // int64(123)
// 转浮点数
f := ObjToFloat64("3.14") // 3.14
// 转布尔
b := ObjToBool(1) // true
b := ObjToBool(0) // false
// 转 Map
m := ObjToMap(`{"a": 1}`) // Map{"a": 1}
m := ObjToMap(someStruct) // 结构体转 Map
// 转 Slice
s := ObjToSlice(`[1, 2, 3]`) // Slice{1, 2, 3}
// 转 []Map
arr := ObjToMapArray(slice) // []Map
```
### 向上取整转换
```go
// 向上取整后转整数
ceil := ObjToCeilInt(3.2) // 4
ceil64 := ObjToCeilInt64(3.2) // int64(4)
ceilF := ObjToCeilFloat64(3.2) // 4.0
```
### 时间转换
```go
// 自动识别多种格式
t := ObjToTime("2024-01-15 10:30:00") // *time.Time
t := ObjToTime("2024-01-15") // *time.Time
t := ObjToTime(1705298400) // Unix 秒
t := ObjToTime(1705298400000) // Unix 毫秒
t := ObjToTime(1705298400000000) // Unix 微秒
```
### 字符串转换
```go
// 字符串转 Map
m := StrToMap(`{"key": "value"}`)
// 字符串转 Slice
s := StrToSlice(`[1, 2, 3]`)
// 字符串转 int
i, err := StrToInt("123")
// 字符串数组格式转换
jsonArr := StrArrayToJsonStr("a1,a2,a3") // "[a1,a2,a3]"
strArr := JsonStrToStrArray("[a1,a2,a3]") // ",a1,a2,a3,"
```
### 错误处理
所有转换函数支持可选的错误参数:
```go
var e Error
i := ObjToInt("abc", &e)
if e.GetError() != nil {
// 处理转换错误
}
```
---
## 工具函数
### 字符串处理
```go
// 字符串截取(支持中文)
str := Substr("Hello世界", 0, 7) // "Hello世"
str := Substr("Hello", -2, 2) // "lo" (负数从末尾计算)
// 首字母大写
upper := StrFirstToUpper("hello") // "Hello"
// 查找最后出现位置
idx := IndexLastStr("a.b.c", ".") // 3
// 字符串相似度Levenshtein 距离)
dist := StrLd("hello", "hallo", true) // 1 (忽略大小写)
```
### 时间处理
```go
// 时间转字符串
str := Time2Str(time.Now()) // "2024-01-15 10:30:00"
str := Time2Str(time.Now(), 1) // "2024-01"
str := Time2Str(time.Now(), 2) // "2024-01-15"
str := Time2Str(time.Now(), 3) // "2024-01-15 10"
str := Time2Str(time.Now(), 4) // "2024-01-15 10:30"
str := Time2Str(time.Now(), 5) // "2024-01-15 10:30:00"
// 特殊格式
str := Time2Str(time.Now(), 12) // "01-15"
str := Time2Str(time.Now(), 14) // "01-15 10:30"
str := Time2Str(time.Now(), 34) // "10:30"
str := Time2Str(time.Now(), 35) // "10:30:00"
```
### 加密与随机
```go
// MD5 加密
hash := Md5("password") // 32位小写MD5
// 随机数
r := Rand(3) // 3位随机数 (0-999)
r := RandX(10, 100) // 10-100之间的随机数
```
### 数学计算
```go
// 四舍五入保留小数
f := Round(3.14159, 2) // 3.14
f := Round(3.145, 2) // 3.15
```
### 深拷贝
```go
// 深拷贝 Map/Slice递归复制
original := Map{"a": Map{"b": 1}}
copied := DeepCopyMap(original).(Map)
// 修改副本不影响原始数据
copied.GetMap("a")["b"] = 2
// original["a"]["b"] 仍然是 1
```
---
## 错误处理
### Error 类型
```go
type Error struct {
Logger *logrus.Logger // 可选的日志记录器
error // 内嵌错误
}
```
### 使用示例
```go
var e Error
// 设置错误
e.SetError(errors.New("something wrong"))
// 获取错误
if err := e.GetError(); err != nil {
fmt.Println(err)
}
// 配合日志自动记录
e.Logger = logrusLogger
e.SetError(errors.New("will be logged"))
```
### 在类型转换中使用
```go
var e Error
data := Map{"count": "abc"}
count := data.GetInt("count", &e)
if e.GetError() != nil {
// 转换失败count = 0
fmt.Println("转换失败:", e.GetError())
}
```
---
## 最佳实践
### 1. 链式调用处理请求数据
```go
func handler(that *Context) {
// 推荐:使用 Obj 链式调用
userId := that.ReqData("user_id").ToInt()
page := that.ReqData("page").ToInt()
if page < 1 {
page = 1
}
// 处理 Map 数据
user := that.Db.Get("user", "*", Map{"id": userId})
if user != nil {
name := user.GetString("name")
age := user.GetInt("age")
}
}
```
### 2. 安全的类型转换
```go
// 带错误检查的转换
var e Error
data := someMap.GetInt("key", &e)
if e.GetError() != nil {
// 使用默认值
data = 0
}
// 简单场景直接转换(失败返回零值)
data := someMap.GetInt("key") // 失败返回 0
```
### 3. 处理数据库查询结果
```go
// 查询返回 Map
user := that.Db.Get("user", "*", Map{"id": 1})
if user != nil {
name := user.GetString("name")
createTime := user.GetTime("create_time")
}
// 查询返回 []Map
users := that.Db.Select("user", "*", Map{"status": 1})
for _, u := range users {
fmt.Printf("ID: %d, Name: %s\n", u.GetInt("id"), u.GetString("name"))
}
```
---
## 相关文档
- [快速上手指南](QUICKSTART.md)
- [HoTimeDB 使用说明](HoTimeDB_使用说明.md)
- [代码生成器使用说明](CodeGen_使用说明.md)

View File

@ -98,17 +98,17 @@ id := database.Insert("table", dataMap)
// 返回新插入记录的ID
```
### 批量插入 (BatchInsert) - 新增
### 批量插入 (Inserts) - 新增
```go
// 使用 []Map 格式,更直观简洁
affected := database.BatchInsert("table", []Map{
affected := database.Inserts("table", []Map{
{"col1": "val1", "col2": "val2", "col3": "val3"},
{"col1": "val4", "col2": "val5", "col3": "val6"},
})
// 返回受影响的行数
// 支持 [#] 标记直接 SQL
affected := database.BatchInsert("log", []Map{
affected := database.Inserts("log", []Map{
{"user_id": 1, "created_time[#]": "NOW()"},
{"user_id": 2, "created_time[#]": "NOW()"},
})
@ -465,7 +465,7 @@ stats := database.Select("order",
### 批量操作
```go
// 批量插入(使用 []Map 格式)
affected := database.BatchInsert("user", []Map{
affected := database.Inserts("user", []Map{
{"name": "用户1", "email": "user1@example.com", "status": 1},
{"name": "用户2", "email": "user2@example.com", "status": 1},
{"name": "用户3", "email": "user3@example.com", "status": 1},
@ -511,3 +511,6 @@ result := database.Table("order").
*快速参考版本: 2.0*
*更新日期: 2026年1月*
**详细说明:**
- [HoTimeDB 使用说明](HoTimeDB_使用说明.md) - 完整教程

View File

@ -12,7 +12,7 @@ HoTimeDB是一个基于Golang实现的轻量级ORM框架参考PHP Medoo设计
- [查询(Select)](#查询select)
- [获取单条记录(Get)](#获取单条记录get)
- [插入(Insert)](#插入insert)
- [批量插入(BatchInsert)](#批量插入batchinsert)
- [批量插入(Inserts)](#批量插入Inserts)
- [更新(Update)](#更新update)
- [Upsert操作](#upsert操作)
- [删除(Delete)](#删除delete)
@ -223,11 +223,11 @@ id := database.Insert("user", common.Map{
fmt.Println("插入的用户ID:", id)
```
### 批量插入(BatchInsert)
### 批量插入(Inserts)
```go
// 批量插入多条记录(使用 []Map 格式,更直观)
affected := database.BatchInsert("user", []common.Map{
affected := database.Inserts("user", []common.Map{
{"name": "张三", "email": "zhang@example.com", "age": 25},
{"name": "李四", "email": "li@example.com", "age": 30},
{"name": "王五", "email": "wang@example.com", "age": 28},
@ -237,7 +237,7 @@ affected := database.BatchInsert("user", []common.Map{
fmt.Printf("批量插入 %d 条记录\n", affected)
// 支持 [#] 标记直接插入 SQL 表达式
affected := database.BatchInsert("log", []common.Map{
affected := database.Inserts("log", []common.Map{
{"user_id": 1, "action": "login", "created_time[#]": "NOW()"},
{"user_id": 2, "action": "logout", "created_time[#]": "NOW()"},
})
@ -808,7 +808,7 @@ A1: 不再需要!现在多条件会自动用 AND 连接。当然,使用 `AND
A2: 在 `Action` 函数中返回 `false` 即可触发回滚,所有操作都会被撤销。
### Q3: 缓存何时会被清除?
A3: 执行 `Insert``Update``Delete``Upsert``BatchInsert` 操作时会自动清除对应表的缓存。
A3: 执行 `Insert``Update``Delete``Upsert``Inserts` 操作时会自动清除对应表的缓存。
### Q4: 如何执行复杂的原生SQL
A4: 使用 `Query` 方法执行查询,使用 `Exec` 方法执行更新操作。
@ -828,3 +828,6 @@ A7: 框架会自动处理差异(占位符、引号等),代码无需修改
*最后更新: 2026年1月*
> 本文档基于HoTimeDB源码分析生成如有疑问请参考源码实现。该ORM框架参考了PHP Medoo的设计理念但根据Golang语言特性进行了适配和优化。
**更多参考:**
- [HoTimeDB API 参考](HoTimeDB_API参考.md) - API 速查手册

529
docs/QUICKSTART.md Normal file
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@ -0,0 +1,529 @@
# HoTime 快速上手指南
5 分钟入门 HoTime 框架。
## 安装
```bash
go get code.hoteas.com/golang/hotime
```
## 最小示例
```go
package main
import (
. "code.hoteas.com/golang/hotime"
. "code.hoteas.com/golang/hotime/common"
)
func main() {
appIns := Init("config/config.json")
appIns.Run(Router{
"app": {
"test": {
"hello": func(that *Context) {
that.Display(0, Map{"message": "Hello World"})
},
},
},
})
}
```
访问: `http://localhost:8081/app/test/hello`
## 配置文件
创建 `config/config.json`:
```json
{
"port": "8081",
"mode": 2,
"sessionName": "HOTIME",
"tpt": "tpt",
"defFile": ["index.html", "index.htm"],
"db": {
"mysql": {
"host": "localhost",
"port": "3306",
"name": "your_database",
"user": "root",
"password": "your_password",
"prefix": ""
}
},
"cache": {
"memory": {
"db": true,
"session": true,
"timeout": 7200
}
}
}
```
### 配置项说明
| 配置项 | 默认值 | 说明 |
|--------|--------|------|
| `port` | 80 | HTTP 服务端口0 为不启用 |
| `tlsPort` | - | HTTPS 端口,需配合 tlsCert/tlsKey |
| `tlsCert` | - | HTTPS 证书路径 |
| `tlsKey` | - | HTTPS 密钥路径 |
| `mode` | 0 | 0=生产, 1=测试, 2=开发(输出SQL) |
| `tpt` | tpt | 静态文件目录 |
| `sessionName` | HOTIME | Session Cookie 名称 |
| `modeRouterStrict` | false | 路由大小写敏感false=忽略大小写 |
| `crossDomain` | - | 跨域设置,空=不开启auto=智能开启,或指定域名 |
| `logFile` | - | 日志文件路径,如 `logs/20060102.txt` |
| `logLevel` | 0 | 日志等级0=关闭1=打印 |
| `webConnectLogShow` | true | 是否显示访问日志 |
| `defFile` | ["index.html"] | 目录默认访问文件 |
### 数据库配置
```json
{
"db": {
"mysql": {
"host": "127.0.0.1",
"port": "3306",
"name": "database_name",
"user": "root",
"password": "password",
"prefix": "app_",
"slave": {
"host": "127.0.0.1",
"port": "3306",
"name": "database_name",
"user": "root",
"password": "password"
}
},
"sqlite": {
"path": "config/data.db",
"prefix": ""
}
}
}
```
> MySQL 配置 `slave` 项即启用主从读写分离
### 缓存配置
```json
{
"cache": {
"memory": {
"db": true,
"session": true,
"timeout": 7200
},
"redis": {
"host": "127.0.0.1",
"port": 6379,
"password": "",
"db": true,
"session": true,
"timeout": 1296000
},
"db": {
"db": true,
"session": true,
"timeout": 2592000
}
}
}
```
缓存优先级: **Memory > Redis > DB**,自动穿透与回填
### 错误码配置
```json
{
"error": {
"1": "内部系统异常",
"2": "访问权限异常",
"3": "请求参数异常",
"4": "数据处理异常",
"5": "数据结果异常"
}
}
```
> 自定义错误码建议从 10 开始
## 路由系统
HoTime 使用三层路由结构:`模块/控制器/方法`
```go
appIns.Run(Router{
"模块名": {
"控制器名": {
"方法名": func(that *Context) {
// 处理逻辑
},
},
},
})
```
### 路由路径
```go
// 获取路由信息
module := that.RouterString[0] // 模块
controller := that.RouterString[1] // 控制器
action := that.RouterString[2] // 方法
// 完整请求路径
fullPath := that.HandlerStr // 如 /app/user/login
```
## 请求参数获取
### 新版推荐方法(支持链式调用)
```go
// 获取 URL 查询参数 (?id=1)
id := that.ReqParam("id").ToInt()
name := that.ReqParam("name").ToStr()
// 获取表单参数 (POST form-data / x-www-form-urlencoded)
username := that.ReqForm("username").ToStr()
age := that.ReqForm("age").ToInt()
// 获取 JSON Body 参数 (POST application/json)
data := that.ReqJson("data").ToMap()
items := that.ReqJson("items").ToSlice()
// 统一获取(自动判断来源,优先级: JSON > Form > URL
userId := that.ReqData("user_id").ToInt()
status := that.ReqData("status").ToStr()
```
### 类型转换方法
```go
obj := that.ReqData("key")
obj.ToStr() // 转字符串
obj.ToInt() // 转 int
obj.ToInt64() // 转 int64
obj.ToFloat64() // 转 float64
obj.ToBool() // 转 bool
obj.ToMap() // 转 Map
obj.ToSlice() // 转 Slice
obj.Data // 获取原始值interface{}
```
### 文件上传
```go
// 单文件上传
file, header, err := that.ReqFile("avatar")
if err == nil {
defer file.Close()
// header.Filename - 文件名
// header.Size - 文件大小
}
// 多文件上传(批量)
files, err := that.ReqFiles("images")
if err == nil {
for _, fh := range files {
file, _ := fh.Open()
defer file.Close()
// 处理每个文件
}
}
```
### 传统方法(兼容)
```go
// GET/POST 参数
name := that.Req.FormValue("name")
// URL 参数
id := that.Req.URL.Query().Get("id")
// 请求头
token := that.Req.Header.Get("Authorization")
```
## 响应数据
### Display 方法
```go
// 成功响应 (status=0)
that.Display(0, Map{"user": user, "token": token})
// 输出: {"status":0, "result":{"user":..., "token":...}}
// 错误响应 (status>0)
that.Display(1, "系统内部错误")
// 输出: {"status":1, "result":{"type":"内部系统异常", "msg":"系统内部错误"}, "error":{...}}
that.Display(2, "请先登录")
// 输出: {"status":2, "result":{"type":"访问权限异常", "msg":"请先登录"}, "error":{...}}
that.Display(3, "参数不能为空")
// 输出: {"status":3, "result":{"type":"请求参数异常", "msg":"参数不能为空"}, "error":{...}}
```
### 错误码含义
| 错误码 | 类型 | 使用场景 |
|--------|------|----------|
| 0 | 成功 | 请求成功 |
| 1 | 内部系统异常 | 环境配置、文件权限等基础运行环境错误 |
| 2 | 访问权限异常 | 未登录或登录异常 |
| 3 | 请求参数异常 | 参数不足、类型错误等 |
| 4 | 数据处理异常 | 数据库操作或第三方请求返回异常 |
| 5 | 数据结果异常 | 无法返回要求的格式 |
### 自定义响应
```go
// 自定义 Header
that.Resp.Header().Set("Content-Type", "application/json")
// 直接写入
that.Resp.Write([]byte("raw data"))
// 自定义响应函数
that.RespFunc = func() {
// 自定义响应逻辑
}
```
## 中间件
```go
// 全局中间件(请求拦截)
appIns.SetConnectListener(func(that *Context) bool {
// 放行登录接口
if len(that.RouterString) >= 3 && that.RouterString[2] == "login" {
return false
}
// 检查登录状态
if that.Session("user_id").Data == nil {
that.Display(2, "请先登录")
return true // 返回 true 终止请求
}
return false // 返回 false 继续处理
})
```
## Session 与缓存
```go
// Session 操作
that.Session("user_id", 123) // 设置
userId := that.Session("user_id") // 获取 *Obj
that.Session("user_id", nil) // 删除
// 链式获取
id := that.Session("user_id").ToInt64()
name := that.Session("username").ToStr()
// 通用缓存
that.Cache("key", "value") // 设置
data := that.Cache("key") // 获取
that.Cache("key", nil) // 删除
```
三级缓存自动运作:**Memory → Redis → Database**
## 数据库操作(简要)
### 基础 CRUD
```go
// 查询列表
users := that.Db.Select("user", "*", Map{"status": 1})
// 查询单条
user := that.Db.Get("user", "*", Map{"id": 1})
// 插入
id := that.Db.Insert("user", Map{"name": "test", "age": 18})
// 批量插入
affected := that.Db.Inserts("user", []Map{
{"name": "user1", "age": 20},
{"name": "user2", "age": 25},
})
// 更新
rows := that.Db.Update("user", Map{"name": "new"}, Map{"id": 1})
// 删除
rows := that.Db.Delete("user", Map{"id": 1})
```
### 链式查询
```go
users := that.Db.Table("user").
LeftJoin("order", "user.id=order.user_id").
Where("status", 1).
And("age[>]", 18).
Order("id DESC").
Page(1, 10).
Select("*")
```
### 条件语法速查
| 语法 | 说明 | 示例 |
|------|------|------|
| `key` | 等于 | `"id": 1` |
| `key[>]` | 大于 | `"age[>]": 18` |
| `key[<]` | 小于 | `"age[<]": 60` |
| `key[>=]` | 大于等于 | `"age[>=]": 18` |
| `key[<=]` | 小于等于 | `"age[<=]": 60` |
| `key[!]` | 不等于 | `"status[!]": 0` |
| `key[~]` | LIKE | `"name[~]": "test"` |
| `key[<>]` | BETWEEN | `"age[<>]": Slice{18, 60}` |
| `key` | IN | `"id": Slice{1, 2, 3}` |
### 事务
```go
success := that.Db.Action(func(tx db.HoTimeDB) bool {
tx.Update("user", Map{"balance[#]": "balance - 100"}, Map{"id": 1})
tx.Insert("order", Map{"user_id": 1, "amount": 100})
return true // 返回 true 提交false 回滚
})
```
> **更多数据库操作**:参见 [HoTimeDB 使用说明](HoTimeDB_使用说明.md)
## 日志记录
```go
// 创建操作日志(自动插入 logs 表)
that.Log = Map{
"type": "login",
"action": "用户登录",
"data": Map{"phone": phone},
}
// 框架会自动添加 time, admin_id/user_id, ip 等字段
```
## 扩展功能
| 功能 | 路径 | 说明 |
|------|------|------|
| 微信支付/公众号/小程序 | `dri/wechat/` | 微信全套 SDK |
| 阿里云服务 | `dri/aliyun/` | 企业认证等 |
| 腾讯云服务 | `dri/tencent/` | 企业认证等 |
| 文件上传 | `dri/upload/` | 文件上传处理 |
| 文件下载 | `dri/download/` | 文件下载处理 |
| MongoDB | `dri/mongodb/` | MongoDB 驱动 |
| RSA 加解密 | `dri/rsa/` | RSA 加解密工具 |
## 完整示例
```go
package main
import (
. "code.hoteas.com/golang/hotime"
. "code.hoteas.com/golang/hotime/common"
)
func main() {
appIns := Init("config/config.json")
// 登录检查中间件
appIns.SetConnectListener(func(that *Context) bool {
// 放行登录接口
if len(that.RouterString) >= 3 && that.RouterString[2] == "login" {
return false
}
if that.Session("user_id").Data == nil {
that.Display(2, "请先登录")
return true
}
return false
})
appIns.Run(Router{
"api": {
"user": {
"login": func(that *Context) {
phone := that.ReqData("phone").ToStr()
password := that.ReqData("password").ToStr()
if phone == "" || password == "" {
that.Display(3, "手机号和密码不能为空")
return
}
user := that.Db.Get("user", "*", Map{
"phone": phone,
"password": Md5(password),
})
if user == nil {
that.Display(3, "账号或密码错误")
return
}
that.Session("user_id", user.GetInt64("id"))
that.Display(0, Map{"user": user})
},
"info": func(that *Context) {
userId := that.Session("user_id").ToInt64()
user := that.Db.Get("user", "*", Map{"id": userId})
that.Display(0, Map{"user": user})
},
"list": func(that *Context) {
page := that.ReqData("page").ToInt()
if page == 0 {
page = 1
}
users := that.Db.Table("user").
Where("status", 1).
Order("id DESC").
Page(page, 10).
Select("id,name,phone,created_at")
total := that.Db.Count("user", Map{"status": 1})
that.Display(0, Map{
"list": users,
"total": total,
"page": page,
})
},
"logout": func(that *Context) {
that.Session("user_id", nil)
that.Display(0, "退出成功")
},
},
},
})
}
```
---
**下一步**
- [HoTimeDB 使用说明](HoTimeDB_使用说明.md) - 完整数据库教程
- [HoTimeDB API 参考](HoTimeDB_API参考.md) - API 速查手册

View File

@ -1,43 +1,15 @@
package main
import (
"encoding/json"
. "code.hoteas.com/golang/hotime"
"fmt"
"os"
"time"
. "code.hoteas.com/golang/hotime"
. "code.hoteas.com/golang/hotime/common"
. "code.hoteas.com/golang/hotime/db"
)
// 调试日志文件路径
const debugLogPath = `d:\work\hotimev1\.cursor\debug.log`
// debugLog 写入调试日志
func debugLog(location, message string, data interface{}, hypothesisId string) {
// #region agent log
logEntry := Map{
"location": location,
"message": message,
"data": data,
"timestamp": time.Now().UnixMilli(),
"sessionId": "debug-session",
"runId": "hotimedb-test-run",
"hypothesisId": hypothesisId,
}
jsonBytes, _ := json.Marshal(logEntry)
f, err := os.OpenFile(debugLogPath, os.O_APPEND|os.O_CREATE|os.O_WRONLY, 0644)
if err == nil {
f.WriteString(string(jsonBytes) + "\n")
f.Close()
}
// #endregion
}
func main() {
debugLog("main.go:35", "开始 HoTimeDB 全功能测试", nil, "START")
appIns := Init("config/config.json")
appIns.SetConnectListener(func(that *Context) (isFinished bool) {
return isFinished
@ -49,7 +21,6 @@ func main() {
// 测试入口 - 运行所有测试
"all": func(that *Context) {
results := Map{}
debugLog("main.go:48", "开始所有测试", nil, "ALL_TESTS")
// 初始化测试表
initTestTables(that)
@ -73,7 +44,7 @@ func main() {
results["6_pagination"] = testPagination(that)
// 7. 批量插入测试
results["7_batch_insert"] = testBatchInsert(that)
results["7_batch_insert"] = testInserts(that)
// 8. Upsert 测试
results["8_upsert"] = testUpsert(that)
@ -84,16 +55,13 @@ func main() {
// 10. 原生 SQL 测试
results["10_raw_sql"] = testRawSQL(that)
debugLog("main.go:80", "所有测试完成", results, "ALL_TESTS_DONE")
that.Display(0, results)
},
// 查询数据库表结构
"tables": func(that *Context) {
debugLog("main.go:tables", "查询数据库表结构", nil, "TABLES")
// 查询所有表
tables := that.Db.Query("SHOW TABLES")
debugLog("main.go:tables", "表列表", tables, "TABLES")
that.Display(0, Map{"tables": tables})
},
@ -108,7 +76,6 @@ func main() {
columns := that.Db.Query("DESCRIBE " + tableName)
// 查询表数据前10条
data := that.Db.Select(tableName, Map{"LIMIT": 10})
debugLog("main.go:describe", "表结构", Map{"table": tableName, "columns": columns, "data": data}, "DESCRIBE")
that.Display(0, Map{"table": tableName, "columns": columns, "sample_data": data})
},
@ -119,7 +86,7 @@ func main() {
"join": func(that *Context) { that.Display(0, testJoinQuery(that)) },
"aggregate": func(that *Context) { that.Display(0, testAggregate(that)) },
"pagination": func(that *Context) { that.Display(0, testPagination(that)) },
"batch": func(that *Context) { that.Display(0, testBatchInsert(that)) },
"batch": func(that *Context) { that.Display(0, testInserts(that)) },
"upsert": func(that *Context) { that.Display(0, testUpsert(that)) },
"transaction": func(that *Context) { that.Display(0, testTransaction(that)) },
"rawsql": func(that *Context) { that.Display(0, testRawSQL(that)) },
@ -140,15 +107,9 @@ func initTestTables(that *Context) {
create_time DATETIME
)`)
// 检查 admin 表数据
adminCount := that.Db.Count("admin")
articleCount := that.Db.Count("article")
debugLog("main.go:init", "MySQL数据库初始化检查完成", Map{
"adminCount": adminCount,
"articleCount": articleCount,
"dbType": "MySQL",
}, "INIT")
// 检查 admin 表数据(确认表存在)
_ = that.Db.Count("admin")
_ = that.Db.Count("article")
}
// ==================== 1. 基础 CRUD 测试 ====================
@ -156,8 +117,6 @@ func testBasicCRUD(that *Context) Map {
result := Map{"name": "基础CRUD测试", "tests": Slice{}}
tests := Slice{}
debugLog("main.go:103", "开始基础 CRUD 测试 (MySQL)", nil, "H1_CRUD")
// 1.1 Insert 测试 - 使用 admin 表
insertTest := Map{"name": "Insert 插入测试 (admin表)"}
adminId := that.Db.Insert("admin", Map{
@ -173,7 +132,6 @@ func testBasicCRUD(that *Context) Map {
insertTest["result"] = adminId > 0
insertTest["adminId"] = adminId
insertTest["lastQuery"] = that.Db.LastQuery
debugLog("main.go:118", "Insert 测试", Map{"adminId": adminId, "success": adminId > 0, "query": that.Db.LastQuery}, "H1_INSERT")
tests = append(tests, insertTest)
// 1.2 Get 测试
@ -181,7 +139,6 @@ func testBasicCRUD(that *Context) Map {
admin := that.Db.Get("admin", "*", Map{"id": adminId})
getTest["result"] = admin != nil && admin.GetInt64("id") == adminId
getTest["admin"] = admin
debugLog("main.go:126", "Get 测试", Map{"admin": admin, "success": admin != nil}, "H1_GET")
tests = append(tests, getTest)
// 1.3 Select 测试 - 单条件
@ -189,7 +146,6 @@ func testBasicCRUD(that *Context) Map {
admins1 := that.Db.Select("admin", "*", Map{"state": 1, "LIMIT": 5})
selectTest1["result"] = len(admins1) >= 0 // 可能表中没有数据
selectTest1["count"] = len(admins1)
debugLog("main.go:134", "Select 单条件测试", Map{"count": len(admins1)}, "H1_SELECT1")
tests = append(tests, selectTest1)
// 1.4 Select 测试 - 多条件(自动 AND
@ -203,7 +159,6 @@ func testBasicCRUD(that *Context) Map {
selectTest2["result"] = true // 只要不报错就算成功
selectTest2["count"] = len(admins2)
selectTest2["lastQuery"] = that.Db.LastQuery
debugLog("main.go:149", "Select 多条件自动AND测试", Map{"count": len(admins2), "query": that.Db.LastQuery}, "H1_SELECT2")
tests = append(tests, selectTest2)
// 1.5 Update 测试
@ -214,7 +169,6 @@ func testBasicCRUD(that *Context) Map {
}, Map{"id": adminId})
updateTest["result"] = affected > 0
updateTest["affected"] = affected
debugLog("main.go:160", "Update 测试", Map{"affected": affected}, "H1_UPDATE")
tests = append(tests, updateTest)
// 1.6 Delete 测试 - 使用 test_batch 表
@ -229,7 +183,6 @@ func testBasicCRUD(that *Context) Map {
deleteAffected := that.Db.Delete("test_batch", Map{"id": tempId})
deleteTest["result"] = deleteAffected > 0
deleteTest["affected"] = deleteAffected
debugLog("main.go:175", "Delete 测试", Map{"affected": deleteAffected}, "H1_DELETE")
tests = append(tests, deleteTest)
result["tests"] = tests
@ -242,14 +195,11 @@ func testConditionSyntax(that *Context) Map {
result := Map{"name": "条件查询语法测试", "tests": Slice{}}
tests := Slice{}
debugLog("main.go:188", "开始条件查询语法测试 (MySQL)", nil, "H2_CONDITION")
// 2.1 等于 (=) - 使用 article 表
test1 := Map{"name": "等于条件 (=)"}
articles1 := that.Db.Select("article", "id,title", Map{"state": 0, "LIMIT": 3})
test1["result"] = true
test1["count"] = len(articles1)
debugLog("main.go:195", "等于条件测试", Map{"count": len(articles1)}, "H2_EQUAL")
tests = append(tests, test1)
// 2.2 不等于 ([!])
@ -258,7 +208,6 @@ func testConditionSyntax(that *Context) Map {
test2["result"] = true
test2["count"] = len(articles2)
test2["lastQuery"] = that.Db.LastQuery
debugLog("main.go:204", "不等于条件测试", Map{"count": len(articles2), "query": that.Db.LastQuery}, "H2_NOT_EQUAL")
tests = append(tests, test2)
// 2.3 大于 ([>]) 和 小于 ([<])
@ -270,7 +219,6 @@ func testConditionSyntax(that *Context) Map {
})
test3["result"] = true
test3["count"] = len(articles3)
debugLog("main.go:216", "大于小于条件测试", Map{"count": len(articles3)}, "H2_GREATER_LESS")
tests = append(tests, test3)
// 2.4 大于等于 ([>=]) 和 小于等于 ([<=])
@ -282,7 +230,6 @@ func testConditionSyntax(that *Context) Map {
})
test4["result"] = true
test4["count"] = len(articles4)
debugLog("main.go:228", "大于等于小于等于条件测试", Map{"count": len(articles4)}, "H2_GTE_LTE")
tests = append(tests, test4)
// 2.5 LIKE 模糊查询 ([~])
@ -291,7 +238,6 @@ func testConditionSyntax(that *Context) Map {
test5["result"] = true
test5["count"] = len(articles5)
test5["lastQuery"] = that.Db.LastQuery
debugLog("main.go:237", "LIKE 模糊查询测试", Map{"count": len(articles5), "query": that.Db.LastQuery}, "H2_LIKE")
tests = append(tests, test5)
// 2.6 右模糊 ([~!])
@ -299,7 +245,6 @@ func testConditionSyntax(that *Context) Map {
articles6 := that.Db.Select("admin", "id,name", Map{"name[~!]": "管理", "LIMIT": 3})
test6["result"] = true
test6["count"] = len(articles6)
debugLog("main.go:245", "右模糊查询测试", Map{"count": len(articles6)}, "H2_LIKE_RIGHT")
tests = append(tests, test6)
// 2.7 BETWEEN ([<>])
@ -308,7 +253,6 @@ func testConditionSyntax(that *Context) Map {
test7["result"] = true
test7["count"] = len(articles7)
test7["lastQuery"] = that.Db.LastQuery
debugLog("main.go:254", "BETWEEN 区间查询测试", Map{"count": len(articles7), "query": that.Db.LastQuery}, "H2_BETWEEN")
tests = append(tests, test7)
// 2.8 NOT BETWEEN ([><])
@ -316,7 +260,6 @@ func testConditionSyntax(that *Context) Map {
articles8 := that.Db.Select("article", "id,title,sort", Map{"sort[><]": Slice{-10, 0}, "LIMIT": 3})
test8["result"] = true
test8["count"] = len(articles8)
debugLog("main.go:262", "NOT BETWEEN 查询测试", Map{"count": len(articles8)}, "H2_NOT_BETWEEN")
tests = append(tests, test8)
// 2.9 IN 查询
@ -325,7 +268,6 @@ func testConditionSyntax(that *Context) Map {
test9["result"] = true
test9["count"] = len(articles9)
test9["lastQuery"] = that.Db.LastQuery
debugLog("main.go:271", "IN 查询测试", Map{"count": len(articles9), "query": that.Db.LastQuery}, "H2_IN")
tests = append(tests, test9)
// 2.10 NOT IN ([!])
@ -333,7 +275,6 @@ func testConditionSyntax(that *Context) Map {
articles10 := that.Db.Select("article", "id,title", Map{"id[!]": Slice{1, 2, 3}, "LIMIT": 5})
test10["result"] = true
test10["count"] = len(articles10)
debugLog("main.go:279", "NOT IN 查询测试", Map{"count": len(articles10)}, "H2_NOT_IN")
tests = append(tests, test10)
// 2.11 IS NULL
@ -341,7 +282,6 @@ func testConditionSyntax(that *Context) Map {
articles11 := that.Db.Select("article", "id,title,img", Map{"img": nil, "LIMIT": 3})
test11["result"] = true
test11["count"] = len(articles11)
debugLog("main.go:287", "IS NULL 查询测试", Map{"count": len(articles11)}, "H2_IS_NULL")
tests = append(tests, test11)
// 2.12 IS NOT NULL ([!])
@ -349,7 +289,6 @@ func testConditionSyntax(that *Context) Map {
articles12 := that.Db.Select("article", "id,title,create_time", Map{"create_time[!]": nil, "LIMIT": 3})
test12["result"] = true
test12["count"] = len(articles12)
debugLog("main.go:295", "IS NOT NULL 查询测试", Map{"count": len(articles12)}, "H2_IS_NOT_NULL")
tests = append(tests, test12)
// 2.13 直接 SQL ([##] 用于 SQL 片段)
@ -361,7 +300,6 @@ func testConditionSyntax(that *Context) Map {
test13["result"] = true
test13["count"] = len(articles13)
test13["lastQuery"] = that.Db.LastQuery
debugLog("main.go:307", "直接 SQL 片段查询测试", Map{"count": len(articles13), "query": that.Db.LastQuery}, "H2_RAW_SQL")
tests = append(tests, test13)
// 2.14 显式 AND 条件
@ -375,7 +313,6 @@ func testConditionSyntax(that *Context) Map {
})
test14["result"] = true
test14["count"] = len(articles14)
debugLog("main.go:321", "显式 AND 条件测试", Map{"count": len(articles14)}, "H2_EXPLICIT_AND")
tests = append(tests, test14)
// 2.15 OR 条件
@ -389,7 +326,6 @@ func testConditionSyntax(that *Context) Map {
})
test15["result"] = true
test15["count"] = len(articles15)
debugLog("main.go:335", "OR 条件测试", Map{"count": len(articles15)}, "H2_OR")
tests = append(tests, test15)
// 2.16 嵌套 AND/OR 条件
@ -407,7 +343,6 @@ func testConditionSyntax(that *Context) Map {
test16["result"] = true
test16["count"] = len(articles16)
test16["lastQuery"] = that.Db.LastQuery
debugLog("main.go:353", "嵌套 AND/OR 条件测试", Map{"count": len(articles16), "query": that.Db.LastQuery}, "H2_NESTED")
tests = append(tests, test16)
result["tests"] = tests
@ -420,8 +355,6 @@ func testChainQuery(that *Context) Map {
result := Map{"name": "链式查询测试", "tests": Slice{}}
tests := Slice{}
debugLog("main.go:366", "开始链式查询测试 (MySQL)", nil, "H3_CHAIN")
// 3.1 基本链式查询 - 使用 article 表
test1 := Map{"name": "基本链式查询 Table().Where().Select()"}
articles1 := that.Db.Table("article").
@ -429,7 +362,6 @@ func testChainQuery(that *Context) Map {
Select("id,title,author")
test1["result"] = len(articles1) >= 0
test1["count"] = len(articles1)
debugLog("main.go:375", "基本链式查询测试", Map{"count": len(articles1)}, "H3_BASIC")
tests = append(tests, test1)
// 3.2 链式 And 条件
@ -441,7 +373,6 @@ func testChainQuery(that *Context) Map {
Select("id,title,click_num")
test2["result"] = len(articles2) >= 0
test2["count"] = len(articles2)
debugLog("main.go:387", "链式 And 条件测试", Map{"count": len(articles2)}, "H3_AND")
tests = append(tests, test2)
// 3.3 链式 Or 条件
@ -455,7 +386,6 @@ func testChainQuery(that *Context) Map {
Select("id,title,sort,click_num")
test3["result"] = len(articles3) >= 0
test3["count"] = len(articles3)
debugLog("main.go:401", "链式 Or 条件测试", Map{"count": len(articles3)}, "H3_OR")
tests = append(tests, test3)
// 3.4 链式 Order
@ -467,7 +397,6 @@ func testChainQuery(that *Context) Map {
Select("id,title,create_time")
test4["result"] = len(articles4) >= 0
test4["count"] = len(articles4)
debugLog("main.go:413", "链式 Order 排序测试", Map{"count": len(articles4)}, "H3_ORDER")
tests = append(tests, test4)
// 3.5 链式 Limit
@ -478,7 +407,6 @@ func testChainQuery(that *Context) Map {
Select("id,title")
test5["result"] = len(articles5) <= 3
test5["count"] = len(articles5)
debugLog("main.go:424", "链式 Limit 限制测试", Map{"count": len(articles5)}, "H3_LIMIT")
tests = append(tests, test5)
// 3.6 链式 Get 单条
@ -488,7 +416,6 @@ func testChainQuery(that *Context) Map {
Get("id,title,author")
test6["result"] = article6 != nil || true // 允许为空
test6["article"] = article6
debugLog("main.go:434", "链式 Get 获取单条测试", Map{"article": article6}, "H3_GET")
tests = append(tests, test6)
// 3.7 链式 Count
@ -498,7 +425,6 @@ func testChainQuery(that *Context) Map {
Count()
test7["result"] = count7 >= 0
test7["count"] = count7
debugLog("main.go:444", "链式 Count 统计测试", Map{"count": count7}, "H3_COUNT")
tests = append(tests, test7)
// 3.8 链式 Page 分页
@ -509,7 +435,6 @@ func testChainQuery(that *Context) Map {
Select("id,title")
test8["result"] = len(articles8) <= 5
test8["count"] = len(articles8)
debugLog("main.go:455", "链式 Page 分页测试", Map{"count": len(articles8)}, "H3_PAGE")
tests = append(tests, test8)
// 3.9 链式 Group 分组
@ -520,7 +445,6 @@ func testChainQuery(that *Context) Map {
Select("ctg_id, COUNT(*) as cnt")
test9["result"] = len(stats9) >= 0
test9["stats"] = stats9
debugLog("main.go:466", "链式 Group 分组测试", Map{"stats": stats9}, "H3_GROUP")
tests = append(tests, test9)
// 3.10 链式 Update
@ -537,7 +461,6 @@ func testChainQuery(that *Context) Map {
test10["result"] = true
test10["note"] = "无可用测试数据"
}
debugLog("main.go:483", "链式 Update 更新测试", test10, "H3_UPDATE")
tests = append(tests, test10)
result["tests"] = tests
@ -550,8 +473,6 @@ func testJoinQuery(that *Context) Map {
result := Map{"name": "JOIN查询测试", "tests": Slice{}}
tests := Slice{}
debugLog("main.go:496", "开始 JOIN 查询测试 (MySQL)", nil, "H4_JOIN")
// 4.1 LEFT JOIN 链式 - article 关联 ctg
test1 := Map{"name": "LEFT JOIN 链式查询"}
articles1 := that.Db.Table("article").
@ -562,7 +483,6 @@ func testJoinQuery(that *Context) Map {
test1["result"] = len(articles1) >= 0
test1["count"] = len(articles1)
test1["data"] = articles1
debugLog("main.go:508", "LEFT JOIN 链式查询测试", Map{"count": len(articles1)}, "H4_LEFT_JOIN")
tests = append(tests, test1)
// 4.2 传统 JOIN 语法
@ -579,7 +499,6 @@ func testJoinQuery(that *Context) Map {
test2["result"] = len(articles2) >= 0
test2["count"] = len(articles2)
test2["lastQuery"] = that.Db.LastQuery
debugLog("main.go:525", "传统 JOIN 语法测试", Map{"count": len(articles2), "query": that.Db.LastQuery}, "H4_TRADITIONAL_JOIN")
tests = append(tests, test2)
// 4.3 多表 JOIN - article 关联 ctg 和 admin
@ -593,7 +512,6 @@ func testJoinQuery(that *Context) Map {
test3["result"] = len(articles3) >= 0
test3["count"] = len(articles3)
test3["data"] = articles3
debugLog("main.go:539", "多表 JOIN 测试", Map{"count": len(articles3)}, "H4_MULTI_JOIN")
tests = append(tests, test3)
// 4.4 INNER JOIN
@ -605,7 +523,6 @@ func testJoinQuery(that *Context) Map {
Select("article.id, article.title, ctg.name as ctg_name")
test4["result"] = len(articles4) >= 0
test4["count"] = len(articles4)
debugLog("main.go:551", "INNER JOIN 测试", Map{"count": len(articles4)}, "H4_INNER_JOIN")
tests = append(tests, test4)
result["tests"] = tests
@ -618,14 +535,11 @@ func testAggregate(that *Context) Map {
result := Map{"name": "聚合函数测试", "tests": Slice{}}
tests := Slice{}
debugLog("main.go:564", "开始聚合函数测试 (MySQL)", nil, "H5_AGGREGATE")
// 5.1 Count 总数
test1 := Map{"name": "Count 总数统计"}
count1 := that.Db.Count("article")
test1["result"] = count1 >= 0
test1["count"] = count1
debugLog("main.go:571", "Count 总数统计测试", Map{"count": count1}, "H5_COUNT")
tests = append(tests, test1)
// 5.2 Count 带条件
@ -633,7 +547,6 @@ func testAggregate(that *Context) Map {
count2 := that.Db.Count("article", Map{"state": 0})
test2["result"] = count2 >= 0
test2["count"] = count2
debugLog("main.go:579", "Count 条件统计测试", Map{"count": count2}, "H5_COUNT_WHERE")
tests = append(tests, test2)
// 5.3 Sum 求和
@ -641,7 +554,6 @@ func testAggregate(that *Context) Map {
sum3 := that.Db.Sum("article", "click_num", Map{"state": 0})
test3["result"] = sum3 >= 0
test3["sum"] = sum3
debugLog("main.go:587", "Sum 求和测试", Map{"sum": sum3}, "H5_SUM")
tests = append(tests, test3)
// 5.4 Avg 平均值
@ -649,7 +561,6 @@ func testAggregate(that *Context) Map {
avg4 := that.Db.Avg("article", "click_num", Map{"state": 0})
test4["result"] = avg4 >= 0
test4["avg"] = avg4
debugLog("main.go:595", "Avg 平均值测试", Map{"avg": avg4}, "H5_AVG")
tests = append(tests, test4)
// 5.5 Max 最大值
@ -657,7 +568,6 @@ func testAggregate(that *Context) Map {
max5 := that.Db.Max("article", "click_num", Map{"state": 0})
test5["result"] = max5 >= 0
test5["max"] = max5
debugLog("main.go:603", "Max 最大值测试", Map{"max": max5}, "H5_MAX")
tests = append(tests, test5)
// 5.6 Min 最小值
@ -665,7 +575,6 @@ func testAggregate(that *Context) Map {
min6 := that.Db.Min("article", "sort", Map{"state": 0})
test6["result"] = true // sort 可能为 0
test6["min"] = min6
debugLog("main.go:611", "Min 最小值测试", Map{"min": min6}, "H5_MIN")
tests = append(tests, test6)
// 5.7 GROUP BY 分组统计
@ -680,7 +589,6 @@ func testAggregate(that *Context) Map {
})
test7["result"] = len(stats7) >= 0
test7["stats"] = stats7
debugLog("main.go:625", "GROUP BY 分组统计测试", Map{"stats": stats7}, "H5_GROUP_BY")
tests = append(tests, test7)
result["tests"] = tests
@ -693,8 +601,6 @@ func testPagination(that *Context) Map {
result := Map{"name": "分页查询测试", "tests": Slice{}}
tests := Slice{}
debugLog("main.go:638", "开始分页查询测试 (MySQL)", nil, "H6_PAGINATION")
// 6.1 PageSelect 分页查询
test1 := Map{"name": "PageSelect 分页查询"}
articles1 := that.Db.Page(1, 5).PageSelect("article", "*", Map{
@ -703,7 +609,6 @@ func testPagination(that *Context) Map {
})
test1["result"] = len(articles1) <= 5
test1["count"] = len(articles1)
debugLog("main.go:648", "PageSelect 分页查询测试", Map{"count": len(articles1)}, "H6_PAGE_SELECT")
tests = append(tests, test1)
// 6.2 第二页
@ -714,7 +619,6 @@ func testPagination(that *Context) Map {
})
test2["result"] = len(articles2) <= 5
test2["count"] = len(articles2)
debugLog("main.go:659", "PageSelect 第二页测试", Map{"count": len(articles2)}, "H6_PAGE_2")
tests = append(tests, test2)
// 6.3 链式分页
@ -726,7 +630,6 @@ func testPagination(that *Context) Map {
Select("id,title,author")
test3["result"] = len(articles3) <= 3
test3["count"] = len(articles3)
debugLog("main.go:671", "链式 Page 分页测试", Map{"count": len(articles3)}, "H6_CHAIN_PAGE")
tests = append(tests, test3)
// 6.4 Offset 偏移
@ -739,7 +642,6 @@ func testPagination(that *Context) Map {
test4["result"] = len(articles4) <= 3
test4["count"] = len(articles4)
test4["lastQuery"] = that.Db.LastQuery
debugLog("main.go:684", "Offset 偏移查询测试", Map{"count": len(articles4), "query": that.Db.LastQuery}, "H6_OFFSET")
tests = append(tests, test4)
result["tests"] = tests
@ -748,16 +650,14 @@ func testPagination(that *Context) Map {
}
// ==================== 7. 批量插入测试 ====================
func testBatchInsert(that *Context) Map {
func testInserts(that *Context) Map {
result := Map{"name": "批量插入测试", "tests": Slice{}}
tests := Slice{}
debugLog("main.go:697", "开始批量插入测试 (MySQL)", nil, "H7_BATCH")
// 7.1 批量插入
test1 := Map{"name": "BatchInsert 批量插入"}
test1 := Map{"name": "Inserts 批量插入"}
timestamp := time.Now().UnixNano()
affected1 := that.Db.BatchInsert("test_batch", []Map{
affected1 := that.Db.Inserts("test_batch", []Map{
{"name": fmt.Sprintf("批量测试1_%d", timestamp), "title": "标题1", "state": 1},
{"name": fmt.Sprintf("批量测试2_%d", timestamp), "title": "标题2", "state": 1},
{"name": fmt.Sprintf("批量测试3_%d", timestamp), "title": "标题3", "state": 1},
@ -765,19 +665,17 @@ func testBatchInsert(that *Context) Map {
test1["result"] = affected1 >= 0
test1["affected"] = affected1
test1["lastQuery"] = that.Db.LastQuery
debugLog("main.go:710", "BatchInsert 批量插入测试", Map{"affected": affected1, "query": that.Db.LastQuery}, "H7_BATCH_INSERT")
tests = append(tests, test1)
// 7.2 带 [#] 的批量插入
test2 := Map{"name": "BatchInsert 带 [#] 标记"}
test2 := Map{"name": "Inserts 带 [#] 标记"}
timestamp2 := time.Now().UnixNano()
affected2 := that.Db.BatchInsert("test_batch", []Map{
affected2 := that.Db.Inserts("test_batch", []Map{
{"name": fmt.Sprintf("带时间测试1_%d", timestamp2), "title": "标题带时间1", "state": 1, "create_time[#]": "NOW()"},
{"name": fmt.Sprintf("带时间测试2_%d", timestamp2), "title": "标题带时间2", "state": 1, "create_time[#]": "NOW()"},
})
test2["result"] = affected2 >= 0
test2["affected"] = affected2
debugLog("main.go:722", "BatchInsert 带 [#] 标记测试", Map{"affected": affected2}, "H7_BATCH_RAW")
tests = append(tests, test2)
// 清理测试数据
@ -794,8 +692,6 @@ func testUpsert(that *Context) Map {
result := Map{"name": "Upsert测试", "tests": Slice{}}
tests := Slice{}
debugLog("main.go:739", "开始 Upsert 测试 (MySQL)", nil, "H8_UPSERT")
// 使用 admin 表测试 UpsertMySQL ON DUPLICATE KEY UPDATE
timestamp := time.Now().Unix()
testPhone := fmt.Sprintf("199%08d", timestamp%100000000)
@ -819,7 +715,6 @@ func testUpsert(that *Context) Map {
test1["result"] = affected1 >= 0
test1["affected"] = affected1
test1["lastQuery"] = that.Db.LastQuery
debugLog("main.go:763", "Upsert 插入新记录测试", Map{"affected": affected1, "query": that.Db.LastQuery}, "H8_UPSERT_INSERT")
tests = append(tests, test1)
// 8.2 Upsert 更新已存在记录
@ -840,7 +735,6 @@ func testUpsert(that *Context) Map {
)
test2["result"] = affected2 >= 0
test2["affected"] = affected2
debugLog("main.go:783", "Upsert 更新已存在记录测试", Map{"affected": affected2}, "H8_UPSERT_UPDATE")
tests = append(tests, test2)
// 验证更新结果
@ -860,8 +754,6 @@ func testTransaction(that *Context) Map {
result := Map{"name": "事务测试", "tests": Slice{}}
tests := Slice{}
debugLog("main.go:803", "开始事务测试 (MySQL)", nil, "H9_TRANSACTION")
// 9.1 事务成功提交
test1 := Map{"name": "事务成功提交"}
timestamp := time.Now().Unix()
@ -875,7 +767,6 @@ func testTransaction(that *Context) Map {
"state": 1,
"create_time[#]": "NOW()",
})
debugLog("main.go:818", "事务内插入记录", Map{"recordId": recordId}, "H9_TX_INSERT")
return recordId != 0
})
@ -884,7 +775,6 @@ func testTransaction(that *Context) Map {
// 验证数据是否存在
checkRecord := that.Db.Get("test_batch", "*", Map{"name": testName1})
test1["recordExists"] = checkRecord != nil
debugLog("main.go:831", "事务成功提交测试", Map{"success": success1, "recordExists": checkRecord != nil}, "H9_TX_SUCCESS")
tests = append(tests, test1)
// 9.2 事务回滚
@ -893,13 +783,12 @@ func testTransaction(that *Context) Map {
success2 := that.Db.Action(func(tx HoTimeDB) bool {
// 插入记录
recordId := tx.Insert("test_batch", Map{
_ = tx.Insert("test_batch", Map{
"name": testName2,
"title": "事务回滚测试",
"state": 1,
"create_time[#]": "NOW()",
})
debugLog("main.go:846", "事务内插入(将回滚)", Map{"recordId": recordId}, "H9_TX_ROLLBACK_INSERT")
// 返回 false 触发回滚
return false
@ -909,7 +798,6 @@ func testTransaction(that *Context) Map {
// 验证数据是否不存在(已回滚)
checkRecord2 := that.Db.Get("test_batch", "*", Map{"name": testName2})
test2["recordRolledBack"] = checkRecord2 == nil
debugLog("main.go:856", "事务回滚测试", Map{"success": success2, "rolledBack": checkRecord2 == nil}, "H9_TX_ROLLBACK")
tests = append(tests, test2)
// 清理测试数据
@ -925,14 +813,11 @@ func testRawSQL(that *Context) Map {
result := Map{"name": "原生SQL测试", "tests": Slice{}}
tests := Slice{}
debugLog("main.go:872", "开始原生 SQL 测试 (MySQL)", nil, "H10_RAW_SQL")
// 10.1 Query 查询 - 使用真实的 article 表
test1 := Map{"name": "Query 原生查询"}
articles1 := that.Db.Query("SELECT id, title, author FROM `article` WHERE state = ? LIMIT ?", 0, 5)
test1["result"] = len(articles1) >= 0
test1["count"] = len(articles1)
debugLog("main.go:879", "Query 原生查询测试", Map{"count": len(articles1)}, "H10_QUERY")
tests = append(tests, test1)
// 10.2 Exec 执行 - 使用 article 表
@ -953,9 +838,67 @@ func testRawSQL(that *Context) Map {
test2["result"] = true
test2["note"] = "无可用测试数据"
}
debugLog("main.go:899", "Exec 原生执行测试", test2, "H10_EXEC")
tests = append(tests, test2)
// ==================== IN/NOT IN 数组测试 ====================
// H1: IN (?) 配合非空数组能正确展开
test3 := Map{"name": "H1: IN (?) 非空数组展开"}
articles3 := that.Db.Query("SELECT id, title FROM `article` WHERE id IN (?) LIMIT 10", []int{1, 2, 3, 4, 5})
test3["result"] = len(articles3) >= 0
test3["count"] = len(articles3)
test3["lastQuery"] = that.Db.LastQuery
tests = append(tests, test3)
// H2: IN (?) 配合空数组替换为 1=0
test4 := Map{"name": "H2: IN (?) 空数组替换为1=0"}
articles4 := that.Db.Query("SELECT id, title FROM `article` WHERE id IN (?) LIMIT 10", []int{})
test4["result"] = len(articles4) == 0 // 空数组的IN应该返回0条
test4["count"] = len(articles4)
test4["lastQuery"] = that.Db.LastQuery
test4["expected"] = "count=0, SQL应包含1=0"
tests = append(tests, test4)
// H3: NOT IN (?) 配合空数组替换为 1=1
test5 := Map{"name": "H3: NOT IN (?) 空数组替换为1=1"}
articles5 := that.Db.Query("SELECT id, title FROM `article` WHERE id NOT IN (?) LIMIT 10", []int{})
test5["result"] = len(articles5) > 0 // NOT IN空数组应该返回记录
test5["count"] = len(articles5)
test5["lastQuery"] = that.Db.LastQuery
test5["expected"] = "count>0, SQL应包含1=1"
tests = append(tests, test5)
// H4: NOT IN (?) 配合非空数组正常展开
test6 := Map{"name": "H4: NOT IN (?) 非空数组展开"}
articles6 := that.Db.Query("SELECT id, title FROM `article` WHERE id NOT IN (?) LIMIT 10", []int{1, 2, 3})
test6["result"] = len(articles6) >= 0
test6["count"] = len(articles6)
test6["lastQuery"] = that.Db.LastQuery
tests = append(tests, test6)
// H5: 普通 ? 占位符保持原有行为
test7 := Map{"name": "H5: 普通?占位符不受影响"}
articles7 := that.Db.Query("SELECT id, title FROM `article` WHERE state = ? LIMIT ?", 0, 5)
test7["result"] = len(articles7) >= 0
test7["count"] = len(articles7)
test7["lastQuery"] = that.Db.LastQuery
tests = append(tests, test7)
// 额外测试: Select ORM方法的空数组处理
test8 := Map{"name": "ORM Select: IN空数组"}
articles8 := that.Db.Select("article", "id,title", Map{"id": []int{}, "LIMIT": 10})
test8["result"] = len(articles8) == 0
test8["count"] = len(articles8)
test8["lastQuery"] = that.Db.LastQuery
tests = append(tests, test8)
// 额外测试: Select ORM方法的NOT IN空数组处理
test9 := Map{"name": "ORM Select: NOT IN空数组"}
articles9 := that.Db.Select("article", "id,title", Map{"id[!]": []int{}, "LIMIT": 10})
test9["result"] = len(articles9) > 0 // NOT IN 空数组应返回记录
test9["count"] = len(articles9)
test9["lastQuery"] = that.Db.LastQuery
tests = append(tests, test9)
result["tests"] = tests
result["success"] = true
return result

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@ -766,12 +766,12 @@ correctUsers4 := db.Select("user", "*", common.Map{
_ = db
}
// BatchInsertExample 批量插入示例
func BatchInsertExample(database *db.HoTimeDB) {
// InsertsExample 批量插入示例
func InsertsExample(database *db.HoTimeDB) {
fmt.Println("\n=== 批量插入示例 ===")
// 批量插入用户(使用 []Map 格式)
affected := database.BatchInsert("user", []common.Map{
affected := database.Inserts("user", []common.Map{
{"name": "批量用户1", "email": "batch1@example.com", "age": 25, "status": 1},
{"name": "批量用户2", "email": "batch2@example.com", "age": 30, "status": 1},
{"name": "批量用户3", "email": "batch3@example.com", "age": 28, "status": 1},
@ -779,7 +779,7 @@ func BatchInsertExample(database *db.HoTimeDB) {
fmt.Printf("批量插入了 %d 条用户记录\n", affected)
// 批量插入日志(使用 [#] 标记直接 SQL
logAffected := database.BatchInsert("log", []common.Map{
logAffected := database.Inserts("log", []common.Map{
{"user_id": 1, "action": "login", "ip": "192.168.1.1", "created_time[#]": "NOW()"},
{"user_id": 2, "action": "logout", "ip": "192.168.1.2", "created_time[#]": "NOW()"},
{"user_id": 3, "action": "view", "ip": "192.168.1.3", "created_time[#]": "NOW()"},
@ -838,7 +838,7 @@ func RunAllFixedExamples() {
fmt.Println("所有示例代码已修正完毕,语法正确!")
fmt.Println("")
fmt.Println("新增功能示例说明:")
fmt.Println(" - BatchInsertExample(db): 批量插入示例,使用 []Map 格式")
fmt.Println(" - InsertsExample(db): 批量插入示例,使用 []Map 格式")
fmt.Println(" - UpsertExample(db): 插入或更新示例")
}

View File

@ -2,12 +2,13 @@ package log
import (
"fmt"
log "github.com/sirupsen/logrus"
"os"
"path/filepath"
"runtime"
"strings"
"time"
log "github.com/sirupsen/logrus"
)
func GetLog(path string, showCodeLine bool) *log.Logger {
@ -73,41 +74,98 @@ func (that *MyHook) Fire(entry *log.Entry) error {
return nil
}
// 对caller进行递归查询, 直到找到非logrus包产生的第一个调用.
// 因为filename我获取到了上层目录名, 因此所有logrus包的调用的文件名都是 logrus/...
// 因此通过排除logrus开头的文件名, 就可以排除所有logrus包的自己的函数调用
func findCaller(skip int) string {
file := ""
line := 0
for i := 0; i < 10; i++ {
file, line = getCaller(skip + i)
if !strings.HasPrefix(file, "logrus") {
j := 0
for true {
j++
if file == "common/error.go" {
file, line = getCaller(skip + i + j)
// 最大框架层数限制 - 超过这个层数后不再跳过,防止误过滤应用层
const maxFrameworkDepth = 10
// isHoTimeFrameworkFile 判断是否是 HoTime 框架文件
// 更精确的匹配:只有明确属于框架的文件才会被跳过
func isHoTimeFrameworkFile(file string) bool {
// 1. logrus 日志库内部文件
if strings.HasPrefix(file, "logrus/") {
return true
}
if file == "db/hotimedb.go" {
file, line = getCaller(skip + i + j)
// 2. Go 运行时文件
if strings.HasPrefix(file, "runtime/") {
return true
}
if file == "code/makecode.go" {
file, line = getCaller(skip + i + j)
// 3. HoTime 框架核心文件 - 通过包含 "hotime" 或框架特有文件名来识别
// 检查路径中是否包含 hotime 框架标识
lowerFile := strings.ToLower(file)
if strings.Contains(lowerFile, "hotime") {
// 是 hotime 框架的一部分,检查是否是核心模块
frameworkDirs := []string{"/db/", "/common/", "/code/", "/cache/", "/log/", "/dri/"}
for _, dir := range frameworkDirs {
if strings.Contains(file, dir) {
return true
}
if strings.Index(file, "common/") == 0 {
file, line = getCaller(skip + i + j)
}
if strings.Contains(file, "application.go") {
file, line = getCaller(skip + i + j)
}
if j == 5 {
break
// 框架核心文件(在 hotime 根目录下的 .go 文件)
if strings.HasSuffix(file, "application.go") ||
strings.HasSuffix(file, "context.go") ||
strings.HasSuffix(file, "session.go") ||
strings.HasSuffix(file, "const.go") ||
strings.HasSuffix(file, "type.go") ||
strings.HasSuffix(file, "var.go") ||
strings.HasSuffix(file, "mime.go") {
return true
}
}
// 4. 直接匹配框架核心目录(用于没有完整路径的情况)
// 只匹配 "db/xxx.go" 这种在框架核心目录下的文件
frameworkCoreDirs := []string{"db/", "common/", "code/", "cache/"}
for _, dir := range frameworkCoreDirs {
if strings.HasPrefix(file, dir) {
// 额外检查:确保不是用户项目中同名目录
// 框架文件通常有特定的文件名
frameworkFiles := []string{
"query.go", "crud.go", "where.go", "builder.go", "db.go",
"dialect.go", "aggregate.go", "transaction.go", "identifier.go",
"error.go", "func.go", "map.go", "obj.go", "slice.go",
"makecode.go", "template.go", "config.go",
"cache.go", "cache_db.go", "cache_memory.go", "cache_redis.go",
}
for _, f := range frameworkFiles {
if strings.HasSuffix(file, f) {
return true
}
}
}
}
return false
}
// 对caller进行递归查询, 直到找到非框架层产生的第一个调用.
// 遍历调用栈,跳过框架层文件,找到应用层代码
// 使用层数限制确保不会误过滤应用层同名目录
func findCaller(skip int) string {
frameworkCount := 0 // 连续框架层计数
// 遍历调用栈,找到第一个非框架文件
for i := 0; i < 20; i++ {
file, line := getCaller(skip + i)
if file == "" {
break
}
if isHoTimeFrameworkFile(file) {
frameworkCount++
// 层数限制:如果已经跳过太多层,停止跳过
if frameworkCount >= maxFrameworkDepth {
return fmt.Sprintf("%s:%d", file, line)
}
continue
}
// 找到非框架文件,返回应用层代码位置
return fmt.Sprintf("%s:%d", file, line)
}
// 如果找不到应用层,返回最初的调用者
file, line := getCaller(skip)
return fmt.Sprintf("%s:%d", file, line)
}