关联分析规则-数据降噪

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/Alarm.java

@@ -70,9 +70,9 @@ public class Alarm {
     private Boolean baseFocused;
     private Boolean isUpdated;
     private int alarmSource;
-    private String[] httpReqHeaders;
-    private String[] httpReqBodys;
-    private String[] httpRespHeaders;
-    private String[] httpRespBodys;
+    private String[] httpReqHeader;
+    private String[] httpReqBody;
+    private String[] httpRespHeader;
+    private String[] httpRespBody;
 
 }

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/AlarmVisit.java

@@ -71,8 +71,8 @@ public class AlarmVisit {
     private Boolean baseFocused;
     private Boolean isUpdated;
     private int alarmSource;
-    private String[] httpReqHeaders;
-    private String[] httpReqBodys;
-    private String[] httpRespHeaders;
-    private String[] httpRespBodys;
+    private String[] httpReqHeader;
+    private String[] httpReqBody;
+    private String[] httpRespHeader;
+    private String[] httpRespBody;
 }

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/AnalysisAnalysisRule.java

@@ -0,0 +1,144 @@
+package com.common.entity;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.time.LocalDateTime;
+import java.util.UUID;
+
+/**
+ * 分析规则实体类
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class AnalysisAnalysisRule {
+    
+    /**
+     * 规则唯一标识（UUID）
+     */
+    private String  ruleId;
+    
+    /**
+     * 创建用户账号
+     */
+    private String createUser;
+    
+    /**
+     * 规则名称（界面显示用）
+     */
+    private String ruleName;
+    
+    /**
+     * 分析方式：高级版/基础版
+     */
+    private String analysisMethod;
+    
+    /**
+     * 运行模式：realtime-实时流式/offline-离线批处理
+     */
+    private String runMode;
+    
+    /**
+     * 规则输出类型：risk_alarm-风险告警/statistics-统计报表
+     */
+    private String ruleOutput;
+    
+    /**
+     * 所属组织机构编码
+     */
+    private String organization;
+    
+    /**
+     * 任务状态：running-正在执行/stopped-已停止/waiting-等待中
+     */
+    private String taskStatus;
+    
+    /**
+     * 创建部门ID
+     */
+    private Long createDept;
+    
+    /**
+     * 删除标志：0-未删除 1-已删除
+     */
+    private String delFlag;
+    
+    /**
+     * 记录创建时间（带时区）
+     */
+    private LocalDateTime createTime;
+    
+    /**
+     * 记录更新时间（带时区）
+     */
+    private LocalDateTime updateTime;
+    
+    /**
+     * 创建人ID
+     */
+    private Long createBy;
+    
+    /**
+     * 更新人ID
+     */
+    private Long updateBy;
+    
+    /**
+     * 规则备注说明文本
+     */
+    private String remark;
+    
+    /**
+     * 多租户隔离ID
+     */
+    private String tenantId;
+    
+    /**
+     * 规则详细描述
+     */
+    private String ruleDesc;
+    
+    /**
+     * 规则分类编码（预留扩展用）
+     */
+    private Integer ruleType;
+    
+    /**
+     * 规则启用状态（0-禁用/1-启用等）
+     */
+    private Integer ruleStatus;
+    
+    /**
+     * 规则配置内容（JSON或结构化文本）
+     */
+    private String ruleContent;
+    
+    /**
+     * 规则计算表达式（如SQL片段或自定义脚本）
+     */
+    private String ruleExpression;
+    
+    /**
+     * 规则执行优先级（数值越大优先级越高）
+     */
+    private Long priority;
+    
+    /**
+     * 规则标签，多个标签用逗号分隔
+     */
+    private String tags;
+    
+    /**
+     * 规则版本号，用于版本管理
+     */
+    private Integer version;
+    
+    /**
+     * 分组ID
+     */
+    private Integer subsetId;
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/AnalysisField.java

@@ -0,0 +1,144 @@
+package com.common.entity;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.time.LocalDateTime;
+
+/**
+ * 分析字段配置实体类
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class AnalysisField {
+
+    /**
+     * 主键ID，自增序列
+     */
+    private Integer id;
+
+    /**
+     * 关联的规则配置UUID
+     */
+    private String ruleId;
+
+    /**
+     * 字段类型（如维度/指标/计算字段等）
+     */
+    private String type;
+
+    /**
+     * 数据源名称，如数据库连接名或数据流标识
+     */
+    private String dataSource;
+
+    /**
+     * 数据库名称
+     */
+    private String database;
+
+    /**
+     * 表名
+     */
+    private String tableName;
+
+    /**
+     * 表别名，用于SQL语句中的表引用
+     */
+    private String tableAlias;
+
+    /**
+     * 字段名
+     */
+    private String columnName;
+
+    /**
+     * 字段描述
+     */
+    private String columnDesc;
+
+    /**
+     * 字段数据类型（如int/varchar/decimal等）
+     */
+    private String dataType;
+
+    /**
+     * 计算函数名（如SUM/COUNT/自定义函数，NULL表示原始字段）
+     */
+    private String fn;
+
+    /**
+     * 函数参数列表，JSON数组格式（即使无参数也保留空数组）
+     */
+    private String arguments;
+
+    /**
+     * 字段显示占位符（用于前端展示的默认文本）
+     */
+    private String placeholder;
+
+    /**
+     * 基础类型编码（预留分类扩展用）
+     */
+    private Integer baseType;
+
+    /**
+     * 字段分类ID
+     */
+    private Integer categoryId;
+
+    /**
+     * 创建部门ID
+     */
+    private Long createDept;
+
+    /**
+     * 删除标志（0-未删除/1-已删除）
+     */
+    private String delFlag;
+
+    /**
+     * 记录创建时间
+     */
+    private LocalDateTime createTime;
+
+    /**
+     * 记录更新时间
+     */
+    private LocalDateTime updateTime;
+
+    /**
+     * 创建人ID
+     */
+    private Long createBy;
+
+    /**
+     * 更新人ID
+     */
+    private Long updateBy;
+
+    /**
+     * 备注说明
+     */
+    private String remark;
+
+    /**
+     * 租户ID，默认000000表示系统级配置
+     */
+    private String tenantId;
+
+    /**
+     * 告警字段名（别名）
+     */
+    private String alarmColumnName;
+
+    /**
+     * 告警字段描述
+     */
+    private String alarmColumnDesc;
+}
+

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/AnalysisFilter.java

@@ -0,0 +1,147 @@
+package com.common.entity;
+
+import com.baomidou.mybatisplus.annotation.*;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.time.LocalDateTime;
+
+/**
+ * 分析过滤条件实体类
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@TableName("analysis_filter")
+public class AnalysisFilter {
+
+    /**
+     * 主键ID
+     */
+    @TableId(value = "id", type = IdType.AUTO)
+    private Integer id;
+
+    /**
+     * 规则ID
+     */
+    private String ruleId;
+
+    /**
+     * 数据源
+     */
+    private String dataSource;
+
+    /**
+     * 数据库名
+     */
+    private String database;
+
+    /**
+     * 表名
+     */
+    private String tableName;
+
+    /**
+     * 表别名
+     */
+    private String tableAlias;
+
+    /**
+     * 列名
+     */
+    private String columnName;
+
+    /**
+     * 列描述
+     */
+    private String columnDesc;
+
+    /**
+     * 数据类型
+     */
+    private String dataType;
+
+    /**
+     * 函数名
+     */
+    private String fn;
+
+    /**
+     * 函数参数
+     */
+    private Object arguments;
+
+    /**
+     * 操作符
+     */
+    private String operator;
+
+    /**
+     * 筛选值
+     */
+    private Object value;
+
+    /**
+     * 基础类型
+     */
+    private Integer baseType;
+
+    /**
+     * 分类ID
+     */
+    private Integer categoryId;
+
+    /**
+     * 创建部门ID
+     */
+    private Long createDept;
+
+    /**
+     * 删除标志：0-正常 1-删除
+     */
+    @TableLogic
+    private String delFlag;
+
+    /**
+     * 创建时间
+     */
+    private LocalDateTime createTime;
+
+    /**
+     * 更新时间
+     */
+    private LocalDateTime updateTime;
+
+    /**
+     * 创建人ID
+     */
+    private Long createBy;
+
+    /**
+     * 更新人ID
+     */
+    private Long updateBy;
+
+    /**
+     * 备注信息
+     */
+    private String remark;
+
+    /**
+     * 租户ID
+     */
+    private String tenantId;
+
+    /**
+     * 关联条件逻辑表ID
+     */
+    private Integer condId;
+
+    /**
+     * 表达式执行顺序号
+     */
+    private Integer seqNum;
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/AnalysisGroupBy.java

@@ -0,0 +1,81 @@
+package com.common.entity;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 分组规则配置实体类
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class AnalysisGroupBy {
+
+    /**
+     * 主键ID
+     */
+    private Long id;
+
+    /**
+     * 规则ID
+     */
+    private String ruleId;
+
+    /**
+     * 分组类型：1-标准分组 2-窗口分组
+     */
+    private Integer groupType;
+
+    /**
+     * 窗口类型：tumble/hop/session
+     */
+    private String windowType;
+
+    /**
+     * 窗口配置（关联AnalysisGroupByWindow）
+     */
+    private AnalysisGroupByWindow window;
+
+    /**
+     * 创建部门
+     */
+    private Long createDept;
+
+    /**
+     * 删除标志：0-未删除，1-已删除
+     */
+    private String delFlag;
+
+    /**
+     * 创建时间
+     */
+    private String createTime;
+
+    /**
+     * 更新时间
+     */
+    private String updateTime;
+
+    /**
+     * 创建人
+     */
+    private Long createBy;
+
+    /**
+     * 更新人
+     */
+    private Long updateBy;
+
+    /**
+     * 备注
+     */
+    private String remark;
+
+    /**
+     * 租户ID
+     */
+    private String tenantId;
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/AnalysisGroupByColumn.java

@@ -0,0 +1,133 @@
+package com.common.entity;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.time.LocalDateTime;
+
+/**
+ * 分析分组字段配置实体类
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class AnalysisGroupByColumn {
+    
+    /**
+     * 主键ID：自增唯一标识符
+     */
+    private Integer id;
+    
+    /**
+     * 分组ID：关联分析分组的外键
+     */
+    private Integer groupById;
+    
+    /**
+     * 数据源名称：数据来源系统标识
+     */
+    private String dataSource;
+    
+    /**
+     * 数据库名称：字段所在的数据库
+     */
+    private String database;
+    
+    /**
+     * 表名：字段所在的物理表名
+     */
+    private String tableName;
+    
+    /**
+     * 表别名：查询时使用的表别名
+     */
+    private String tableAlias;
+    
+    /**
+     * 字段名：物理字段名称
+     */
+    private String columnName;
+    
+    /**
+     * 字段描述：业务层面的字段说明
+     */
+    private String columnDesc;
+    
+    /**
+     * 数据类型：字段的数据类型（如varchar、int4）
+     */
+    private String dataType;
+    
+    /**
+     * 基础类型：字段的业务基础类型编码
+     */
+    private Integer baseType;
+    
+    /**
+     * 分类ID：字段所属的业务分类ID
+     */
+    private Integer categoryId;
+    
+    /**
+     * 创建部门：创建记录的部门ID
+     */
+    private Long createDept;
+    
+    /**
+     * 删除标志：0-未删除，1-已删除
+     */
+    private String delFlag;
+    
+    /**
+     * 创建时间：记录创建时间戳
+     */
+    private LocalDateTime createTime;
+    
+    /**
+     * 更新时间：记录最后更新时间戳
+     */
+    private LocalDateTime updateTime;
+    
+    /**
+     * 创建人：记录创建者ID
+     */
+    private Long createBy;
+    
+    /**
+     * 更新人：记录最后更新者ID
+     */
+    private Long updateBy;
+    
+    /**
+     * 备注：扩展说明信息
+     */
+    private String remark;
+    
+    /**
+     * 租户ID：多租户环境下的租户标识
+     */
+    private String tenantId;
+    
+    /**
+     * 规则ID：关联的业务规则UUID
+     */
+    private String ruleId;
+    
+    /**
+     * 用户组ID：关联的权限用户组ID
+     */
+    private Long groupId;
+    
+    /**
+     * 字段唯一ID：跨表唯一的字段标识符
+     */
+    private Long fieldId;
+    
+    /**
+     * 排序号：字段展示顺序
+     */
+    private Integer sort;
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/AnalysisGroupByHaving.java

@@ -0,0 +1,138 @@
+package com.common.entity;
+
+import com.baomidou.mybatisplus.annotation.*;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.time.LocalDateTime;
+
+/**
+ * 分析分组聚合条件配置实体类
+ * 存储GROUP BY后的HAVING筛选条件定义
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@TableName("analysis_group_by_having")
+public class AnalysisGroupByHaving {
+
+    /**
+     * 主键ID
+     */
+    @TableId(value = "id", type = IdType.AUTO)
+    private Integer id;
+
+    /**
+     * 分组ID
+     */
+    private Integer groupById;
+
+    /**
+     * 数据源名称
+     */
+    private String dataSource;
+
+    /**
+     * 数据库名称
+     */
+    private String database;
+
+    /**
+     * 表名
+     */
+    private String tableName;
+
+    /**
+     * 表别名
+     */
+    private String tableAlias;
+
+    /**
+     * 字段名
+     */
+    private String columnName;
+
+    /**
+     * 字段描述
+     */
+    private String columnDesc;
+
+    /**
+     * 字段数据类型
+     */
+    private String dataType;
+
+    /**
+     * 聚合函数名（如SUM/COUNT/AVG等）
+     */
+    private String fn;
+
+    /**
+     * 聚合函数参数列表，JSON数组格式
+     */
+    private Object arguments;
+
+    /**
+     * 比较运算符（如>、<、=、>=、<=、IN、LIKE等）
+     */
+    private String operator;
+
+    /**
+     * 比较值，JSON格式存储
+     */
+    private Object value;
+
+    /**
+     * 基础类型标识
+     */
+    private Integer baseType;
+
+    /**
+     * 分类ID，用于条件分组归类
+     */
+    private Integer categoryId;
+
+    /**
+     * 创建部门ID
+     */
+    private Long createDept;
+
+    /**
+     * 删除标志：0-未删除 1-已删除
+     */
+    @TableLogic
+    private String delFlag;
+
+    /**
+     * 记录创建时间
+     */
+    private LocalDateTime createTime;
+
+    /**
+     * 记录更新时间
+     */
+    private LocalDateTime updateTime;
+
+    /**
+     * 创建人ID
+     */
+    private Long createBy;
+
+    /**
+     * 更新人ID
+     */
+    private Long updateBy;
+
+    /**
+     * 备注说明
+     */
+    private String remark;
+
+    /**
+     * 租户ID
+     */
+    private String tenantId;
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/AnalysisGroupByWindow.java

@@ -0,0 +1,139 @@
+package com.common.entity;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 分析时间窗口配置实体类
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class AnalysisGroupByWindow {
+
+    /**
+     * 主键ID
+     */
+    private Integer id;
+
+    /**
+     * 分组ID
+     */
+    private Integer groupById;
+
+    /**
+     * 窗口类型：tumble/hop/session
+     */
+    private String windowType;
+
+    // ============ 滚动窗口配置 ============
+
+    /**
+     * 滚动窗口时间类型：second/minute/hour
+     */
+    private String tumbleWindowTimeType;
+
+    /**
+     * 滚动窗口大小
+     */
+    private Integer tumbleWindowSize;
+
+    /**
+     * 滚动窗口单位：s/m/h/d
+     */
+    private String tumbleWindowSizeUnit;
+
+    // ============ 滑动窗口配置 ============
+
+    /**
+     * 滑动窗口时间类型
+     */
+    private String hopWindowTimeType;
+
+    /**
+     * 滑动窗口大小
+     */
+    private Integer hopWindowSize;
+
+    /**
+     * 滑动窗口单位：s/m/h/d
+     */
+    private String hopWindowSizeUnit;
+
+    /**
+     * 滑动窗口步长
+     */
+    private Integer hopWindowSlide;
+
+    /**
+     * 滑动窗口步长单位：s/m/h/d
+     */
+    private String hopWindowSlideUnit;
+
+    /**
+     * 滑动窗口告警频率：是否每个窗口仅告警一次
+     */
+    private Boolean hopWindowAlarmOncePerWindow;
+
+    // ============ 会话窗口配置 ============
+
+    /**
+     * 会话窗口时间类型
+     */
+    private String sessionWindowTimeType;
+
+    /**
+     * 会话窗口超时时间
+     */
+    private Integer sessionWindowSize;
+
+    /**
+     * 会话窗口单位：s/m/h/d
+     */
+    private String sessionWindowSizeUnit;
+
+    // ============ 公共字段 ============
+
+    /**
+     * 创建部门
+     */
+    private Long createDept;
+
+    /**
+     * 删除标志：0-未删除，1-已删除
+     */
+    private String delFlag;
+
+    /**
+     * 创建时间
+     */
+    private String createTime;
+
+    /**
+     * 更新时间
+     */
+    private String updateTime;
+
+    /**
+     * 创建人
+     */
+    private Long createBy;
+
+    /**
+     * 更新人
+     */
+    private Long updateBy;
+
+    /**
+     * 备注
+     */
+    private String remark;
+
+    /**
+     * 租户ID
+     */
+    private String tenantId;
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/AnalysisTaskHistory.java

@@ -0,0 +1,103 @@
+package com.common.entity;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+import java.util.UUID;
+import java.time.LocalDateTime;
+
+/**
+ * 分析规则任务运行历史及状态记录
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class AnalysisTaskHistory {
+
+    /**
+     * 记录ID
+     */
+    private Long id;
+
+    /**
+     * 规则ID
+     */
+    private String  ruleId;
+
+    /**
+     * 开始时间
+     */
+    private LocalDateTime startTime;
+
+    /**
+     * 结束时间
+     */
+    private LocalDateTime endTime;
+
+    /**
+     * 持续时间(秒)
+     */
+    private Long durationTime;
+
+    /**
+     * 进度百分比
+     */
+    private Integer progressPercent;
+
+    /**
+     * 输入数据量
+     */
+    private Long inputCount;
+
+    /**
+     * 输出数据量
+     */
+    private Long outputCount;
+
+    /**
+     * 状态(RUNNING/CANCELED/KILLED/COMPLETED/FAILED)
+     */
+    private String status;
+
+    /**
+     * 创建部门ID
+     */
+    private Long createDept;
+
+    /**
+     * 删除标志(0-正常,1-删除)
+     */
+    private String delFlag;
+
+    /**
+     * 创建时间
+     */
+    private LocalDateTime createTime;
+
+    /**
+     * 更新时间
+     */
+    private LocalDateTime updateTime;
+
+    /**
+     * 创建人ID
+     */
+    private Long createBy;
+
+    /**
+     * 更新人ID
+     */
+    private Long updateBy;
+
+    /**
+     * 备注信息
+     */
+    private String remark;
+
+    /**
+     * 租户ID
+     */
+    private String tenantId;
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/AnalysisUserDefinedFunction.java

@@ -0,0 +1,66 @@
+package com.common.entity;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 用户自定义函数实体类
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class AnalysisUserDefinedFunction {
+    
+    /**
+     * 函数ID
+     */
+    private String functionId;
+    
+    /**
+     * 规则ID
+     */
+    private String ruleId;
+    
+    /**
+     * 函数名称
+     */
+    private String functionName;
+    
+    /**
+     * 函数类型：AGGREGATE-聚合函数/SCALAR-标量函数/WINDOW-窗口函数
+     */
+    private String functionType;
+    
+    /**
+     * 函数描述
+     */
+    private String functionDesc;
+    
+    /**
+     * 函数实现SQL
+     */
+    private String functionSql;
+    
+    /**
+     * 返回类型
+     */
+    private String returnType;
+    
+    /**
+     * 参数定义（JSON格式）
+     */
+    private String params;
+    
+    /**
+     * 启用状态
+     */
+    private Boolean enabled;
+    
+    /**
+     * 删除标志：0-未删除 1-已删除
+     */
+    private String delFlag;
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/AnalysisWhereCondition.java

@@ -0,0 +1,83 @@
+package com.common.entity;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.time.LocalDateTime;
+
+/**
+ * WHERE条件逻辑表实体类（仅存储条件逻辑组信息）
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class AnalysisWhereCondition {
+
+    /**
+     * 条件ID
+     */
+    private Integer condId;
+
+    /**
+     * 规则ID
+     */
+    private String ruleId;
+
+    /**
+     * 逻辑运算符：AND, OR
+     */
+    private String logicalOp;
+
+    /**
+     * 序号
+     */
+    private Integer seqNum;
+
+    /**
+     * 父节点ID
+     */
+    private Integer parentCondId;
+
+    /**
+     * 创建部门ID
+     */
+    private Long createDept;
+
+    /**
+     * 删除标志：0-未删除 1-已删除
+     */
+    private String delFlag;
+
+    /**
+     * 创建时间
+     */
+    private LocalDateTime createTime;
+
+    /**
+     * 更新时间
+     */
+    private LocalDateTime updateTime;
+
+    /**
+     * 创建人ID
+     */
+    private Long createBy;
+
+    /**
+     * 更新人ID
+     */
+    private Long updateBy;
+
+    /**
+     * 备注信息
+     */
+    private String remark;
+
+    /**
+     * 租户ID
+     */
+    private String tenantId;
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/entity/GroupedSyslogData.java

@@ -29,6 +29,7 @@ public class GroupedSyslogData {
     private String[] httpReqBodys;
     private String[] httpRespHeaders;
     private String[] httpRespBodys;
+    private String dnsInfo;
     private String victimIpsStr;
     private Integer[] allAttackResults;  // 所有不同的attack_result值
     private Integer mostCommonAttackResult;  // 最常见的attack_result值

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/AlarmMapper.java

@@ -15,10 +15,10 @@ public interface AlarmMapper {
             "INSERT INTO alarm (",
             "id, created_at, alarm_name, alarm_level, alarm_type, ",
             "alarm_major_type, alarm_minor_type,alarm_area_id, attack_ip, victim_ip, victim_web_url, ",
-            "device_id, comment,origin_log_ids,log_start_at, log_end_at, http_status, ",
+            "device_id, comment,origin_log_ids,log_start_at, log_end_at, window_time, http_status, ",
             "attack_port, victim_port, attack_method, etl_time, log_count, ",
             "attack_chain_phase, disposition_advice, attack_direction, ",
-            "judged_state, disposed_state, attack_result, fall, payload,  engine_type,   " ,
+            "judged_state, disposed_state, attack_result, fall, payload,  dns_info, engine_type,   " ,
             "http_req_header  , http_req_body,http_resp_header , http_resp_body ",
             ") VALUES ",
             "<foreach collection='list' item='item' separator=','>",
@@ -30,18 +30,18 @@ public interface AlarmMapper {
             "#{item.deviceId, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, ",
             "#{item.comment}, " ,
             "#{item.originLogIds, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
-            "#{item.logStartAt}, #{item.logEndAt}, #{item.httpStatus}, ",
+            "#{item.logStartAt}, #{item.logEndAt}, #{item.windowTime}, #{item.httpStatus}, ",
             "#{item.attackPort, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, ",
             "#{item.victimPort, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, ",
             "#{item.attackMethod}, #{item.etlTime}, #{item.logCount}, ",
             "#{item.attackChainPhase, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, ",
             "#{item.dispositionAdvice}, #{item.attackDirection}, ",
             "#{item.judgedState}, #{item.disposedState}, #{item.attackResult}, #{item.fall}, ",
-            "#{item.payload}, #{item.engineType}, ",
-            "#{item.httpReqHeaders, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
-            "#{item.httpReqBodys, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
-            "#{item.httpRespHeaders, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
-            "#{item.httpRespBodys, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler})",
+            "#{item.payload},#{item.dnsInfo}, #{item.engineType}, ",
+            "#{item.httpReqHeader, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
+            "#{item.httpReqBody, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
+            "#{item.httpRespHeader, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
+            "#{item.httpRespBody, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler})",
             "</foreach>",
             "</script>"})
     void batchInsert(@Param("list") List<Alarm> alarmList);
@@ -52,10 +52,10 @@ public interface AlarmMapper {
     @Insert("INSERT INTO alarm (" +
             "id, created_at, alarm_name, alarm_level, alarm_type, " +
             "alarm_major_type, alarm_minor_type,alarm_area_id, attack_ip, victim_ip, victim_web_url, " +
-            "device_id, comment,origin_log_ids, log_start_at, log_end_at, http_status, " +
+            "device_id, comment,origin_log_ids, log_start_at, log_end_at, window_time, http_status, " +
             "attack_port, victim_port, attack_method, etl_time, log_count, " +
             "attack_chain_phase, disposition_advice, attack_direction, " +
-            "judged_state, disposed_state, attack_result, fall, payload, engine_type,  " +
+            "judged_state, disposed_state, attack_result, fall, payload, dns_info, engine_type,  " +
             "http_req_header  , http_req_body,http_resp_header , http_resp_body " +
             ") VALUES (" +
             "#{id}, #{createdAt}, #{alarmName}, #{alarmLevel}, " +
@@ -66,17 +66,17 @@ public interface AlarmMapper {
             "#{deviceId, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, " +
             "#{comment}, " +
             "#{originLogIds, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
-            "#{logStartAt}, #{logEndAt}, #{httpStatus}, " +
+            "#{logStartAt}, #{logEndAt}, #{windowTime},#{httpStatus}, " +
             "#{attackPort, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, " +
             "#{victimPort, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, " +
             "#{attackMethod}, #{etlTime}, #{logCount}, " +
             "#{attackChainPhase, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, " +
             "#{dispositionAdvice}, #{attackDirection}, " +
-            "#{judgedState}, #{disposedState}, #{attackResult}, #{fall}, #{payload}, #{engineType}, " +
-            "#{httpReqHeaders, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
-            "#{httpReqBodys, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
-            "#{httpRespHeaders, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
-            "#{httpRespBodys, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}   " +
+            "#{judgedState}, #{disposedState}, #{attackResult}, #{fall}, #{payload}, #{dnsInfo},#{engineType}, " +
+            "#{httpReqHeader, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
+            "#{httpReqBody, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
+            "#{httpRespHeader, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
+            "#{httpRespBody, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}   " +
             ")")
     void insert(Alarm alarm);
 }

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/AlarmVisitMapper.java

@@ -19,10 +19,10 @@ public interface AlarmVisitMapper {
             "INSERT INTO alarm_visit (",
             "id, created_at, alarm_name, alarm_level, alarm_type, ",
             "alarm_major_type, alarm_minor_type,alarm_area_id, attack_ip, victim_ip, victim_web_url, ",
-            "device_id, comment,origin_log_ids,log_start_at, log_end_at, http_status, ",
+            "device_id, comment,origin_log_ids,log_start_at, log_end_at,window_time, http_status, ",
             "attack_port, victim_port, attack_method, etl_time, log_count, ",
             "attack_chain_phase, disposition_advice, attack_direction, ",
-            "judged_state, disposed_state, attack_result, fall, payload,   " ,
+            "judged_state, disposed_state, attack_result, fall, payload, dns_info, engine_type,  " ,
             "http_req_header  , http_req_body,http_resp_header , http_resp_body ",
             ") VALUES ",
             "<foreach collection='list' item='item' separator=','>",
@@ -34,18 +34,18 @@ public interface AlarmVisitMapper {
             "#{item.deviceId, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, ",
             "#{item.comment}, " ,
             "#{item.originLogIds, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
-            "#{item.logStartAt}, #{item.logEndAt}, #{item.httpStatus}, ",
+            "#{item.logStartAt}, #{item.logEndAt},, #{item.windowTime} #{item.httpStatus}, ",
             "#{item.attackPort, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, ",
             "#{item.victimPort, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, ",
             "#{item.attackMethod}, #{item.etlTime}, #{item.logCount}, ",
             "#{item.attackChainPhase, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, ",
             "#{item.dispositionAdvice}, #{item.attackDirection}, ",
             "#{item.judgedState}, #{item.disposedState}, #{item.attackResult}, #{item.fall}, ",
-            "#{item.payload}, ",
-            "#{item.httpReqHeaders, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
-            "#{item.httpReqBodys, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
-            "#{item.httpRespHeaders, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
-            "#{item.httpRespBodys, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}) ",
+            "#{item.payload},#{item.dnsInfo}, #{item.engineType}, ",
+            "#{item.httpReqHeader, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
+            "#{item.httpReqBody, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
+            "#{item.httpRespHeader, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, ",
+            "#{item.httpRespBody, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}) ",
             "</foreach>",
             "</script>"})
     void batchInsert(@Param("list") List<AlarmVisit> alarmList);
@@ -56,10 +56,10 @@ public interface AlarmVisitMapper {
     @Insert("INSERT INTO alarm_visit (" +
             "id, created_at, alarm_name, alarm_level, alarm_type, " +
             "alarm_major_type, alarm_minor_type,alarm_area_id, attack_ip, victim_ip, victim_web_url,  " +
-            "device_id, comment,origin_log_ids, log_start_at, log_end_at, http_status, " +
+            "device_id, comment,origin_log_ids, log_start_at, log_end_at, window_time,http_status, " +
             "attack_port, victim_port, attack_method, etl_time, log_count, " +
             "attack_chain_phase, disposition_advice, attack_direction, " +
-            "judged_state, disposed_state, attack_result, fall, payload, " +
+            "judged_state, disposed_state, attack_result, fall, payload, dns_info,engine_type, " +
             "http_req_header  , http_req_body,http_resp_header , http_resp_body " +
             ") VALUES (" +
             "#{id}, #{createdAt}, #{alarmName}, #{alarmLevel}, " +
@@ -70,17 +70,17 @@ public interface AlarmVisitMapper {
             "#{deviceId, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, " +
             "#{comment}, " +
             "#{originLogIds, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
-            "#{logStartAt}, #{logEndAt}, #{httpStatus}, " +
+            "#{logStartAt}, #{logEndAt}, #{windowTime}, #{httpStatus}, " +
             "#{attackPort, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, " +
             "#{victimPort, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, " +
             "#{attackMethod}, #{etlTime}, #{logCount}, " +
             "#{attackChainPhase, typeHandler=com.Modules.etl.handler.ArrayIntegerTypeHandler}, " +
             "#{dispositionAdvice}, #{attackDirection}, " +
-            "#{judgedState}, #{disposedState}, #{attackResult}, #{fall}, #{payload}, " +
-            "#{httpReqHeaders, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
-            "#{httpReqBodys, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
-            "#{httpRespHeaders, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
-            "#{httpRespBodys, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}   " +
+            "#{judgedState}, #{disposedState}, #{attackResult}, #{fall}, #{payload},#{dnsInfo} ,#{engineType}, " +
+            "#{httpReqHeader, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
+            "#{httpReqBody, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
+            "#{httpRespHeader, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}, " +
+            "#{httpRespBody, typeHandler=com.Modules.etl.handler.ArrayStringTypeHandler}   " +
             ")")
     void insert(AlarmVisit alarm);
 }

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/AnalysisAnalysisRuleMapper.java

@@ -0,0 +1,50 @@
+package com.common.mapper;
+
+import com.common.entity.AnalysisAnalysisRule;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+import java.util.List;
+import java.util.UUID;
+/**
+ * 分析规则Mapper
+ */
+@Mapper
+public interface AnalysisAnalysisRuleMapper {
+
+    /**
+     * 查询指定运行模式的活动规则
+     *
+     * @param runMode 运行模式：realtime-实时/offline-离线
+     * @return 规则列表
+     */
+    List<AnalysisAnalysisRule> selectActiveRulesByRunMode(@Param("runMode") String runMode);
+
+    /**
+     * 根据规则ID查询规则
+     *
+     * @param ruleId 规则ID
+     * @return 规则信息
+     */
+    AnalysisAnalysisRule selectByRuleId(@Param("ruleId") String ruleId);
+
+    /**
+     * 更新规则任务状态
+     *
+     * @param ruleId    规则ID
+     * @param taskStatus 任务状态
+     * @param updateBy  更新人ID
+     * @return 影响行数
+     */
+    int updateTaskStatus(@Param("ruleId") String ruleId,
+                        @Param("taskStatus") String taskStatus,
+                        @Param("updateBy") Long updateBy);
+
+    /**
+     * 根据ID查询规则
+     *
+     * @param ruleId 规则ID
+     * @return 规则信息
+     */
+    AnalysisAnalysisRule selectById(@Param("ruleId") String ruleId);
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/AnalysisFieldMapper.java

@@ -0,0 +1,38 @@
+package com.common.mapper;
+
+import com.common.entity.AnalysisField;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+import java.util.List;
+import java.util.UUID;
+/**
+ * 分析字段配置Mapper
+ */
+@Mapper
+public interface AnalysisFieldMapper {
+
+    /**
+     * 根据规则ID查询字段配置
+     *
+     * @param ruleId 规则ID
+     * @return 字段列表
+     */
+    List<AnalysisField> selectByRuleId(@Param("ruleId") String ruleId);
+
+    /**
+     * 查询规则中用于SELECT的字段
+     *
+     * @param ruleId 规则ID
+     * @return 字段列表
+     */
+    List<AnalysisField> selectSelectFieldsByRuleId(@Param("ruleId") String ruleId);
+
+    /**
+     * 查询规则中用于GROUP BY的字段
+     *
+     * @param ruleId 规则ID
+     * @return 字段列表
+     */
+    List<AnalysisField> selectGroupByFieldsByRuleId(@Param("ruleId") String ruleId);
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/AnalysisFilterMapper.java

@@ -0,0 +1,38 @@
+package com.common.mapper;
+
+import com.common.entity.AnalysisFilter;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+import java.util.List;
+
+/**
+ * 分析过滤条件Mapper
+ */
+@Mapper
+public interface AnalysisFilterMapper {
+
+    /**
+     * 根据规则ID查询过滤条件
+     *
+     * @param ruleId 规则ID
+     * @return 过滤条件列表
+     */
+    List<AnalysisFilter> selectByRuleId(@Param("ruleId") String ruleId);
+
+    /**
+     * 根据字段ID查询过滤条件
+     *
+     * @param fieldId 字段ID
+     * @return 过滤条件列表
+     */
+    List<AnalysisFilter> selectByFieldId(@Param("fieldId") Long fieldId);
+
+    /**
+     * 根据条件ID查询过滤条件（与where_condition表关联）
+     *
+     * @param condId 条件ID
+     * @return 过滤条件列表
+     */
+    List<AnalysisFilter> selectByCondId(@Param("condId") Integer condId);
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/AnalysisGroupByColumnMapper.java

@@ -0,0 +1,38 @@
+package com.common.mapper;
+
+import com.common.entity.AnalysisGroupByColumn;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+import java.util.List;
+
+/**
+ * 分组字段配置Mapper
+ */
+@Mapper
+public interface AnalysisGroupByColumnMapper {
+
+    /**
+     * 根据规则ID查询分组字段配置
+     *
+     * @param ruleId 规则ID
+     * @return 分组字段列表
+     */
+    List<AnalysisGroupByColumn> selectByRuleId(@Param("ruleId") String ruleId);
+
+    /**
+     * 根据分组ID查询分组字段配置
+     *
+     * @param groupById 分组ID
+     * @return 分组字段列表
+     */
+    List<AnalysisGroupByColumn> selectByGroupById(@Param("groupById") Integer groupById);
+
+    /**
+     * 根据用户组ID查询分组字段配置
+     *
+     * @param groupId 用户组ID
+     * @return 分组字段列表
+     */
+    List<AnalysisGroupByColumn> selectByGroupId(@Param("groupId") Long groupId);
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/AnalysisGroupByHavingMapper.java

@@ -0,0 +1,30 @@
+package com.common.mapper;
+
+import com.common.entity.AnalysisGroupByHaving;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+import java.util.List;
+
+/**
+ * 分析分组聚合条件Mapper
+ */
+@Mapper
+public interface AnalysisGroupByHavingMapper {
+
+    /**
+     * 根据分组ID查询HAVING条件
+     *
+     * @param groupById 分组ID
+     * @return HAVING条件列表
+     */
+    List<AnalysisGroupByHaving> selectByGroupById(@Param("groupById") Integer groupById);
+
+    /**
+     * 根据规则ID查询HAVING条件（通过关联分组表）
+     *
+     * @param ruleId 规则ID
+     * @return HAVING条件列表
+     */
+    List<AnalysisGroupByHaving> selectByRuleId(@Param("ruleId") String ruleId);
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/AnalysisGroupByMapper.java

@@ -0,0 +1,22 @@
+package com.common.mapper;
+
+import com.common.entity.AnalysisGroupBy;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+import java.util.List;
+
+/**
+ * 分组规则配置Mapper
+ */
+@Mapper
+public interface AnalysisGroupByMapper {
+
+    /**
+     * 根据规则ID查询分组配置
+     *
+     * @param ruleId 规则ID
+     * @return 分组配置列表
+     */
+    List<AnalysisGroupBy> selectByRuleId(@Param("ruleId") String ruleId);
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/AnalysisGroupByWindowMapper.java

@@ -0,0 +1,20 @@
+package com.common.mapper;
+
+import com.common.entity.AnalysisGroupByWindow;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+/**
+ * 分析时间窗口配置Mapper
+ */
+@Mapper
+public interface AnalysisGroupByWindowMapper {
+
+    /**
+     * 根据分组ID查询窗口配置
+     *
+     * @param groupById 分组ID
+     * @return 窗口配置
+     */
+    AnalysisGroupByWindow selectByGroupById(@Param("groupById") Integer groupById);
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/AnalysisTaskHistoryMapper.java

@@ -0,0 +1,50 @@
+package com.common.mapper;
+
+import com.common.entity.AnalysisTaskHistory;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+import java.util.List;
+
+/**
+ * 分析任务历史Mapper
+ */
+@Mapper
+public interface AnalysisTaskHistoryMapper {
+
+    /**
+     * 插入任务历史记录
+     *
+     * @param history 任务历史
+     * @return 影响行数
+     */
+    int insert(AnalysisTaskHistory history);
+
+    /**
+     * 更新任务历史记录
+     *
+     * @param history 任务历史
+     * @return 影响行数
+     */
+    int update(AnalysisTaskHistory history);
+
+    /**
+     * 根据规则ID查询最近的任务历史
+     *
+     * @param ruleId 规则ID
+     * @param limit  查询数量
+     * @return 任务历史列表
+     */
+    List<AnalysisTaskHistory> selectRecentByRuleId(@Param("ruleId") String ruleId,
+                                                   @Param("limit") int limit);
+
+    /**
+     * 根据规则ID和状态查询任务历史
+     *
+     * @param ruleId 规则ID
+     * @param status 状态
+     * @return 任务历史
+     */
+    AnalysisTaskHistory selectByRuleIdAndStatus(@Param("ruleId") String ruleId,
+                                                @Param("status") String status);
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/AnalysisWhereConditionMapper.java

@@ -0,0 +1,39 @@
+package com.common.mapper;
+
+import com.common.entity.AnalysisWhereCondition;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+import java.util.List;
+import java.util.UUID;
+
+/**
+ * WHERE条件Mapper
+ */
+@Mapper
+public interface AnalysisWhereConditionMapper {
+
+    /**
+     * 根据规则ID查询WHERE条件
+     *
+     * @param ruleId 规则ID
+     * @return WHERE条件列表
+     */
+    List<AnalysisWhereCondition> selectByRuleId(@Param("ruleId") String ruleId);
+
+    /**
+     * 查询根节点条件（无父节点）
+     *
+     * @param ruleId 规则ID
+     * @return 根条件列表
+     */
+    List<AnalysisWhereCondition> selectRootConditions(@Param("ruleId") String ruleId);
+
+    /**
+     * 查询指定条件的子条件
+     *
+     * @param parentCondId 父条件ID
+     * @return 子条件列表
+     */
+    List<AnalysisWhereCondition> selectChildConditions(@Param("parentCondId") String parentCondId);
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/SyslogNormalAlarmMapper.java

@@ -71,6 +71,7 @@ public interface SyslogNormalAlarmMapper {
             "ARRAY_AGG(DISTINCT http_req_body) as httpReqBodys, " +
             "ARRAY_AGG(DISTINCT http_resp_header) as httpRespHeaders, " +
             "ARRAY_AGG(DISTINCT http_resp_body) as httpRespBodys, " +
+            "MODE() WITHIN GROUP (ORDER BY dest_domain) as dns_info, " +
             "STRING_AGG(DISTINCT COALESCE(host(dest_ip)::text, ''), ',') as victim_ips_str " +
             "FROM syslog_normal_alarm  " +
             "WHERE log_time >= #{startTime} AND log_time < #{endTime} " +

haobang-security-xdr/syslog-consumer/src/main/java/com/common/mapper/SyslogNormalDataMapper.java

@@ -68,6 +68,7 @@ public interface SyslogNormalDataMapper {
             "ARRAY_AGG(DISTINCT http_req_body) as httpReqBodys, " +
             "ARRAY_AGG(DISTINCT http_resp_header) as httpRespHeaders, " +
             "ARRAY_AGG(DISTINCT http_resp_body) as httpRespBodys, " +
+            "MODE() WITHIN GROUP (ORDER BY dest_domain) as dns_info, " +
             "STRING_AGG(DISTINCT COALESCE(host(dest_ip)::text, ''), ',') as victim_ips_str " +
             "FROM syslog_normal_data " +
             "WHERE log_time >= #{startTime} AND log_time < #{endTime} " +

haobang-security-xdr/syslog-consumer/src/main/java/com/common/schedule/ETLOrchestrator.java

@@ -33,8 +33,9 @@ public class ETLOrchestrator {
     private NormalizeRuleHitTimeService normalizeRuleHitTimeService;
     /**
      * 定时任务 - 从每小时第1分钟开始，5分钟间隔执行
+     * 20260317：暂定硬规则关联分析
      */
-    @Scheduled(cron = "0 1/5 * * * ?")
+    //@Scheduled(cron = "0 1/5 * * * ?")
     public void scheduledETL() {
 
         long startTime = System.currentTimeMillis();
@@ -46,7 +47,7 @@ public class ETLOrchestrator {
         //泛化标准数据告警降噪任务
         try {
             //retryHandler.executeWithRetry(() -> dataExtractor.extractAndProcess24HoursGroupedData());
-            retryHandler.executeWithRetry(() -> dataExtractor.extractAndProcessQueryHoursGroupedData(strStartTime,strEndTime ));
+            //retryHandler.executeWithRetry(() -> dataExtractor.extractAndProcessQueryHoursGroupedData(strStartTime,strEndTime ));
             retryHandler.executeWithRetry(() -> dataExtractor.extractAndProcessQueryHoursAlarm(strStartTime,strEndTime ));
             long endTime = System.currentTimeMillis();
             long duration = (endTime - startTime) / 1000;

haobang-security-xdr/syslog-consumer/src/main/java/com/common/schedule/OfflineAnalysisScheduler.java

@@ -0,0 +1,62 @@
+package com.common.schedule;
+
+import com.common.service.AnalysisRuleService;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.scheduling.annotation.Scheduled;
+import org.springframework.stereotype.Component;
+
+import java.util.List;
+import java.util.Map;
+
+/**
+ * 离线分析定时任务
+ */
+@Slf4j
+@Component
+public class OfflineAnalysisScheduler {
+
+    @Autowired
+    private AnalysisRuleService analysisRuleService;
+
+    @Value("${analysis.offline.enabled:true}")
+    private boolean offlineEnabled;
+
+    /**
+     * 定时执行离线分析（使用cron表达式，默认每小时执行一次）
+     * 具体分析规则运行需要根据配置运行时间周期进行，离线暂停
+     */
+   // @Scheduled(cron = "${analysis.offline.cron-expression:0 0 */1 * * ?}")
+    public void executeOfflineAnalysis() {
+        if (!offlineEnabled) {
+            log.debug("离线分析引擎已禁用，跳过执行");
+            return;
+        }
+
+        try {
+            log.info("========== 开始执行离线分析任务 ==========");
+            long startTime = System.currentTimeMillis();
+
+            List<Map<String, Object>> results = analysisRuleService.executeOfflineAnalysis();
+
+            long endTime = System.currentTimeMillis();
+            long duration = endTime - startTime;
+
+            log.info("========== 离线分析任务完成，耗时: {} ms，处理规则数: {} ==========",
+                    duration, results.size());
+
+            // 输出执行结果摘要
+            for (Map<String, Object> result : results) {
+                log.info("规则: {}, 状态: {}, 处理记录数: {}, 生成告警数: {}",
+                        result.get("ruleName"),
+                        result.get("status"),
+                        result.get("processedCount"),
+                        result.get("alarmCount"));
+            }
+
+        } catch (Exception e) {
+            log.error("执行离线分析任务失败", e);
+        }
+    }
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/schedule/RealtimeAnalysisScheduler.java

@@ -0,0 +1,196 @@
+package com.common.schedule;
+
+import com.common.entity.AnalysisAnalysisRule;
+import com.common.entity.AnalysisGroupBy;
+import com.common.entity.AnalysisGroupByWindow;
+import com.common.mapper.AnalysisAnalysisRuleMapper;
+import com.common.mapper.AnalysisGroupByMapper;
+import com.common.mapper.AnalysisGroupByWindowMapper;
+import com.common.service.AnalysisRuleService;
+import com.common.service.RuleExecutionTimeService;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.scheduling.annotation.Scheduled;
+import org.springframework.stereotype.Component;
+
+import javax.annotation.PostConstruct;
+import javax.annotation.PreDestroy;
+import java.time.LocalDateTime;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * 实时分析定时任务调度器
+ * 每个规则根据窗口类型（滚动、滑动、会话）独立管理下次运行时间
+ */
+@Slf4j
+@Component
+public class RealtimeAnalysisScheduler {
+
+    @Autowired
+    private AnalysisRuleService analysisRuleService;
+
+    @Autowired
+    private RuleExecutionTimeService ruleExecutionTimeService;
+
+    @Autowired
+    private AnalysisAnalysisRuleMapper ruleMapper;
+
+    @Autowired
+    private AnalysisGroupByMapper groupByMapper;
+
+    @Autowired
+    private AnalysisGroupByWindowMapper groupByWindowMapper;
+
+    @Value("${analysis.realtime.enabled:true}")
+    private boolean realtimeEnabled;
+
+    @Value("${analysis.realtime.check-interval-seconds:10}")
+    private int checkIntervalSeconds;
+
+    /**
+     * 应用启动时初始化所有规则的执行时间
+     */
+    @PostConstruct
+    public void init() {
+        if (!realtimeEnabled) {
+            log.info("实时分析引擎已禁用，跳过初始化");
+            return;
+        }
+
+        log.info("========== 初始化实时分析调度器 ==========");
+        try {
+            initAllRules();
+            log.info("========== 实时分析调度器初始化完成 ==========");
+        } catch (Exception e) {
+            log.error("初始化实时分析调度器失败", e);
+        }
+    }
+
+    /**
+     * 定时检查规则是否需要执行（默认每10秒检查一次）
+     * 根据窗口类型（滚动、滑动、会话）独立计算下次执行时间
+     */
+    @Scheduled(fixedDelayString = "${analysis.realtime.check-interval-seconds:10}000")
+    public void checkAndExecuteRules() {
+        if (!realtimeEnabled) {
+            return;
+        }
+
+        try {
+            LocalDateTime now = LocalDateTime.now();
+
+            // 查询所有启用的实时规则
+            List<AnalysisAnalysisRule> rules = ruleMapper.selectActiveRulesByRunMode("realtime");
+
+            if (rules.isEmpty()) {
+                return;
+            }
+
+            int executedCount = 0;
+            int skippedCount = 0;
+
+            for (AnalysisAnalysisRule rule : rules) {
+                try {
+                    // 获取规则下次执行时间
+                    LocalDateTime nextTime = ruleExecutionTimeService.getNextExecuteTime(rule.getRuleId());
+
+                    // 如果未初始化或已到执行时间
+                    if (nextTime == null || !nextTime.isAfter(now)) {
+                        log.info("执行规则: ruleId={}, ruleName={}, nextTime={}, now={}",
+                                rule.getRuleId(), rule.getRuleName(),
+                                nextTime, now);
+
+                        // 执行规则
+                        Map<String, Object> result = analysisRuleService.executeRealtimeRule(rule.getRuleId());
+
+                        // 计算下次执行时间
+                        updateNextExecuteTime(rule);
+                        executedCount++;
+                    } else {
+                        skippedCount++;
+                        log.debug("规则未到执行时间: ruleId={}, nextTime={}, now={}, diff={}",
+                                rule.getRuleId(), nextTime, now,
+                                java.time.Duration.between(now, nextTime).getSeconds());
+                    }
+                } catch (Exception e) {
+                    log.error("检查和执行规则失败: ruleId={}", rule.getRuleId(), e);
+                }
+            }
+
+            if (executedCount > 0) {
+                log.info("本次调度执行规则数: {}, 跳过规则数: {}", executedCount, skippedCount);
+            }
+
+        } catch (Exception e) {
+            log.error("检查和执行规则失败", e);
+        }
+    }
+
+    /**
+     * 初始化所有规则的执行时间
+     */
+    private void initAllRules() {
+        List<AnalysisAnalysisRule> rules = ruleMapper.selectActiveRulesByRunMode("realtime");
+        log.info("查询到 {} 个实时分析规则", rules.size());
+
+        for (AnalysisAnalysisRule rule : rules) {
+            try {
+                // 加载窗口配置
+                AnalysisGroupByWindow groupByWindow = loadGroupByWindow(rule.getRuleId());
+
+                // 初始化下次执行时间
+                ruleExecutionTimeService.initRuleExecuteTime(rule, groupByWindow);
+
+                log.info("初始化规则: ruleId={}, ruleName={}, windowType={}",
+                        rule.getRuleId(), rule.getRuleName(),
+                        groupByWindow != null ? groupByWindow.getWindowType() : "NONE");
+            } catch (Exception e) {
+                log.error("初始化规则执行时间失败: ruleId={}", rule.getRuleId(), e);
+            }
+        }
+    }
+
+    /**
+     * 加载规则的窗口配置
+     */
+    private AnalysisGroupByWindow loadGroupByWindow(String ruleId) {
+        try {
+            List<AnalysisGroupBy> groupByList = groupByMapper.selectByRuleId(ruleId);
+            if (groupByList != null && !groupByList.isEmpty()) {
+                AnalysisGroupBy groupBy = groupByList.get(0);
+                if (groupBy.getId() != null) {
+                    return groupByWindowMapper.selectByGroupById(groupBy.getId().intValue());
+                }
+            }
+            return null;
+        } catch (Exception e) {
+            log.error("加载窗口配置失败: ruleId={}", ruleId, e);
+            return null;
+        }
+    }
+
+    /**
+     * 更新规则下次执行时间
+     */
+    private void updateNextExecuteTime(AnalysisAnalysisRule rule) {
+        try {
+            // 加载窗口配置
+            AnalysisGroupByWindow groupByWindow = loadGroupByWindow(rule.getRuleId());
+
+            // 更新下次执行时间
+            ruleExecutionTimeService.updateNextExecuteTime(rule, groupByWindow);
+        } catch (Exception e) {
+            log.error("更新规则下次执行时间失败: ruleId={}", rule.getRuleId(), e);
+        }
+    }
+
+    /**
+     * 应用关闭时清理
+     */
+    @PreDestroy
+    public void destroy() {
+        log.info("========== 关闭实时分析调度器 ==========");
+    }
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/service/AccessLogAlertService.java

@@ -6,6 +6,7 @@ import com.alibaba.fastjson.JSON;
 import com.alibaba.fastjson.JSONArray;
 import com.alibaba.fastjson.JSONObject;
 import com.common.entity.AlarmVisit;
+import com.common.entity.DeviceDevice;
 import com.common.entity.SecExceptionAlgorithm;
 import com.common.entity.SyslogNormalData;
 import lombok.extern.slf4j.Slf4j;
@@ -36,6 +37,10 @@ import com.common.util.AlgorithmResultParser;
 @EnableScheduling
 @EnableAsync
 public class AccessLogAlertService {
+
+    @Autowired
+    public static DeviceDeviceService  deviceDeviceService  ;
+
     @Autowired
     private AlgorithmResultParser algorithmResultParser;
     @Autowired
@@ -63,7 +68,7 @@ public class AccessLogAlertService {
     @PostConstruct
     public void init() {
         // 初始化时设置为当前时间减2分钟
-        lastProcessTime = LocalDateTime.now().minusMinutes(2);
+        lastProcessTime = LocalDateTime.now().minusMinutes(1);
         log.info("初始化AccessLogAlertService，上次处理时间: {}", lastProcessTime);
 
         // 加载启用的算法配置到缓存
@@ -93,7 +98,7 @@ public class AccessLogAlertService {
     /**
      * 安全的定时任务入口
      */
-    @Scheduled(cron = "0 */2 * * * ?")
+    @Scheduled(cron = "0 */1 * * * ?")
     public void safeProcessTask() {
         if (processing.compareAndSet(false, true)) {
             try {
@@ -108,7 +113,7 @@ public class AccessLogAlertService {
     /**
      * 定时任务入口 - 每2分钟执行一次
      */
-    @Scheduled(cron = "0 */2 * * * ?")
+    @Scheduled(cron = "0 */1 * * * ?")
     @Async
     public void processAccessLogAlert() {
         log.info("开始执行访问日志告警处理任务");
@@ -351,8 +356,11 @@ public class AccessLogAlertService {
                         .judgedState(0)
                         .disposedState(0)
                         .dispositionAdvice("研判后处置")
+                        .dnsInfo(alarmResult.getString("host"))
                         .build();
 
+                //补充返回结果的原始日志字段
+                AddOriginLogField(algorithm.getAlgorithmName(),alarmVisit,alarmResult);
                 // 保存告警记录
                 alarmVisitMapper.insert(alarmVisit);
                 alarmCount++;
@@ -366,6 +374,8 @@ public class AccessLogAlertService {
         }
     }
 
+
+
     /**
      * 解析时间字符串
      */
@@ -374,7 +384,6 @@ public class AccessLogAlertService {
             if (timeStr == null || timeStr.isEmpty()) {
                 return LocalDateTime.now();
             }
-
             // 尝试多种时间格式
             try {
                 return LocalDateTime.parse(timeStr);
@@ -392,6 +401,54 @@ public class AccessLogAlertService {
     }
 
 
+    /**
+     *  补充返回结果的原始日志字段
+     * @param  AlgorithmName
+     * @param alarmVisit
+     * @param alarmResult
+     * @return
+     */
+    private boolean AddOriginLogField(String AlgorithmName, AlarmVisit alarmVisit ,JSONObject alarmResult )
+    {
+        try {
+        JSONObject originLogObject= alarmResult.getJSONObject("origin_log");
+        if(originLogObject.isEmpty()) {
+            log.debug("算法：{},ID:{} ,AlarmNme:{} 没有返回 origin_log节点.",AlgorithmName, alarmVisit.getId(), alarmVisit.getAlarmName());
+            return false;
+        }
+            alarmVisit.setAttackPort( new Integer[]{alarmResult.getInteger("_source.sport")}  );
+            alarmVisit.setVictimPort( new Integer[]{alarmResult.getInteger("_source.dport")}  );
+            alarmVisit.setAttackMethod(alarmResult.getString("_source.method") );
+            String deviceIp= alarmResult.getString("_source.device_ip");
+            //alarmVisit.setDeviceId(  new Integer[]{ getDeviceID(deviceIp)}  );
+            alarmVisit.setHttpStatus( alarmResult.getString("_source.status"));
+        return true;
+        } catch (Exception e) {
+            log.error("算法：{} 补充原始记录日志字段异常。error:{} ",AlgorithmName,e.getMessage(), e );
+            return false;
+        }
+    }
+
+    public  int getDeviceID(String source_ip)
+    {
+        //默认deviceId =-1
+        int  deviceId=-1 ;
+        List<DeviceDevice>  deviceList=  deviceDeviceService.getByIpSafely(source_ip);
+        if(deviceList.isEmpty()) {
+            return deviceId;
+        }
+        if(deviceList.size()>1)
+        {
+            log.error("设备请求的Host IP注册超过一条记录，请联系管理员处理！");
+            return deviceId;
+        }
+        return   deviceList.get(0).getId();
+    }
+
+
+
+
+
 
 
 }

haobang-security-xdr/syslog-consumer/src/main/java/com/common/service/AnalysisEngine.java

@@ -0,0 +1,42 @@
+package com.common.service;
+
+import com.common.entity.AnalysisAnalysisRule;
+
+import java.util.List;
+import java.util.Map;
+
+/**
+ * 分析引擎接口
+ */
+public interface AnalysisEngine {
+
+    /**
+     * 执行分析规则
+     *
+     * @param rule 规则
+     * @return 处理结果
+     */
+    Map<String, Object> executeRule(AnalysisAnalysisRule rule);
+
+    /**
+     * 批量执行规则
+     *
+     * @param rules 规则列表
+     * @return 处理结果列表
+     */
+    List<Map<String, Object>> executeRules(List<AnalysisAnalysisRule> rules);
+
+    /**
+     * 停止指定规则
+     *
+     * @param ruleId 规则ID
+     */
+    void stopRule(String ruleId);
+
+    /**
+     * 获取引擎运行模式
+     *
+     * @return 运行模式
+     */
+    String getRunMode();
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/service/AnalysisRuleService.java

@@ -0,0 +1,50 @@
+package com.common.service;
+
+import com.common.entity.AnalysisAnalysisRule;
+
+import java.util.List;
+import java.util.Map;
+
+/**
+ * 分析规则服务接口
+ */
+public interface AnalysisRuleService {
+
+    /**
+     * 执行实时分析
+     *
+     * @return 执行结果
+     */
+    List<Map<String, Object>> executeRealtimeAnalysis();
+
+    /**
+     * 执行离线分析
+     *
+     * @return 执行结果
+     */
+    List<Map<String, Object>> executeOfflineAnalysis();
+
+    /**
+     * 查询活动规则
+     *
+     * @param runMode 运行模式
+     * @return 规则列表
+     */
+    List<AnalysisAnalysisRule> getActiveRules(String runMode);
+
+    /**
+     * 停止规则
+     *
+     * @param ruleId 规则ID
+     */
+    void stopRule(String ruleId);
+
+
+    /**
+     * 执行单个实时分析规则
+     *
+     * @param ruleId 规则ID
+     * @return 执行结果
+     */
+    Map<String, Object> executeRealtimeRule(String ruleId);
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/service/DataTransformer.java

@@ -84,7 +84,7 @@ public class DataTransformer {
                     .logStartAt(groupedData.getMinLogTime())
                     .logEndAt(groupedData.getMaxLogTime())
                     .httpStatus(convertHttpStatus(groupedData.getHttpStatusCodes()))
-                    .dnsInfo(null)
+                    .dnsInfo(groupedData.getDnsInfo())
                     .accountInfo(null)
                     .attackerInfo(null)
                     .victimInfo(null)
@@ -114,10 +114,10 @@ public class DataTransformer {
                     .focused(false)
                     .baseFocused(false)
                     .isUpdated(false)
-                    .httpReqHeaders(groupedData.getHttpReqHeaders())
-                    .httpReqBodys(groupedData.getHttpReqBodys())
-                    .httpRespHeaders(groupedData.getHttpRespHeaders())
-                    .httpRespBodys(groupedData.getHttpRespBodys())
+                    .httpReqHeader(groupedData.getHttpReqHeaders())
+                    .httpReqBody(groupedData.getHttpReqBodys())
+                    .httpRespHeader(groupedData.getHttpRespHeaders())
+                    .httpRespBody(groupedData.getHttpRespBodys())
                     .build();
 
         } catch (Exception e) {
@@ -160,7 +160,7 @@ public class DataTransformer {
                     .logStartAt(groupedData.getMinLogTime())
                     .logEndAt(groupedData.getMaxLogTime())
                     .httpStatus(convertHttpStatus(groupedData.getHttpStatusCodes()))
-                    .dnsInfo(null)
+                    .dnsInfo(groupedData.getDnsInfo())
                     .accountInfo(null)
                     .attackerInfo(null)
                     .victimInfo(null)
@@ -190,10 +190,10 @@ public class DataTransformer {
                     .focused(false)
                     .baseFocused(false)
                     .isUpdated(false)
-                    .httpReqHeaders(groupedData.getHttpReqHeaders())
-                    .httpReqBodys(groupedData.getHttpReqBodys())
-                    .httpRespHeaders(groupedData.getHttpRespHeaders())
-                    .httpRespBodys(groupedData.getHttpRespBodys())
+                    .httpReqHeader(groupedData.getHttpReqHeaders())
+                    .httpReqBody(groupedData.getHttpReqBodys())
+                    .httpRespHeader(groupedData.getHttpRespHeaders())
+                    .httpRespBody(groupedData.getHttpRespBodys())
                     .build();
 
         } catch (Exception e) {

haobang-security-xdr/syslog-consumer/src/main/java/com/common/service/RuleExecutionTimeService.java

@@ -0,0 +1,52 @@
+package com.common.service;
+
+
+import com.common.entity.AnalysisAnalysisRule;
+import com.common.entity.AnalysisGroupByWindow;
+
+import java.time.LocalDateTime;
+
+/**
+ * 规则执行时间管理服务
+ * 根据窗口类型（滚动、滑动、会话）动态计算下次执行时间
+ */
+public interface RuleExecutionTimeService {
+
+    /**
+     * 获取规则下次执行时间
+     *
+     * @param ruleId 规则ID
+     * @return 下次执行时间，如果未初始化则返回null
+     */
+    LocalDateTime getNextExecuteTime(String ruleId);
+
+    /**
+     * 更新规则下次执行时间
+     * 根据窗口类型（滚动、滑动、会话）动态计算
+     *
+     * @param rule 分析规则
+     * @param groupByWindow 窗口配置
+     */
+    void updateNextExecuteTime(AnalysisAnalysisRule rule, AnalysisGroupByWindow groupByWindow);
+
+    /**
+     * 初始化规则执行时间
+     * 应用启动时调用，设置初始执行时间
+     *
+     * @param rule 分析规则
+     * @param groupByWindow 窗口配置
+     */
+    void initRuleExecuteTime(AnalysisAnalysisRule rule, AnalysisGroupByWindow groupByWindow);
+
+    /**
+     * 删除规则执行时间
+     *
+     * @param ruleId 规则ID
+     */
+    void removeRuleExecuteTime(String ruleId);
+
+    /**
+     * 清空所有规则执行时间
+     */
+    void clearAllRuleExecuteTime();
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/service/SqlGeneratorService.java

@@ -0,0 +1,132 @@
+package com.common.service;
+
+
+
+import com.common.entity.*;
+import java.util.List;
+
+/**
+ * SQL生成服务接口
+ */
+public interface SqlGeneratorService {
+
+    /**
+     * 根据规则动态生成SQL
+     *
+     * @param rule        分析规则
+     * @param fields      字段配置
+     * @param whereConditions WHERE条件逻辑组
+     * @param filters      过滤条件列表
+     * @param groupByColumns GROUP BY字段
+     * @param havingConditions HAVING条件列表
+     * @param groupByWindow   时间窗口配置
+     * @param startTime   开始时间
+     * @param endTime     结束时间
+     * @return 生成的SQL语句
+     */
+    String generateSql(AnalysisAnalysisRule rule,
+                       List<AnalysisField> fields,
+                       List<AnalysisWhereCondition> whereConditions,
+                       List<AnalysisFilter> filters,
+                       List<AnalysisGroupByColumn> groupByColumns,
+                       List<AnalysisGroupByHaving> havingConditions,
+                       AnalysisGroupByWindow groupByWindow,
+                       String startTime,
+                       String endTime);
+
+    /**
+     * 生成SELECT子句
+     *
+     * @param fields 字段配置
+     * @param groupByWindow 时间窗口配置
+     * @return SELECT子句SQL
+     */
+    String generateSelectClause(List<AnalysisField> fields, AnalysisGroupByWindow groupByWindow);
+
+    /**
+     * 生成FROM子句
+     *
+     * @param fields 字段配置
+     * @param groupByWindow 时间窗口配置
+     * @return FROM子句SQL
+     */
+    String generateFromClause(List<AnalysisField> fields, AnalysisGroupByWindow groupByWindow);
+
+    /**
+     * 生成WHERE子句（新版本，使用AnalysisFilter）
+     *
+     * @param filters    过滤条件列表
+     * @param startTime  开始时间
+     * @param endTime    结束时间
+     * @return WHERE子句SQL
+     */
+    String generateWhereClauseFromFilters(List<AnalysisFilter> filters,
+                                          String startTime,
+                                          String endTime);
+
+    /**
+     * 生成WHERE子句（旧版本，使用AnalysisWhereCondition）
+     *
+     * @param conditions WHERE条件列表
+     * @param startTime  开始时间
+     * @param endTime    结束时间
+     * @return WHERE子句SQL
+     * @deprecated 使用 generateWhereClauseFromFilters 替代
+     */
+    @Deprecated
+    String generateWhereClause(List<AnalysisWhereCondition> conditions,
+                               String startTime,
+                               String endTime);
+
+    /**
+     * 生成GROUP BY子句
+     *
+     * @param columns GROUP BY字段列表
+     * @param groupByWindow 时间窗口配置
+     * @return GROUP BY子句SQL
+     */
+    String generateGroupByClause(List<AnalysisGroupByColumn> columns, AnalysisGroupByWindow groupByWindow);
+
+    /**
+     * 生成HAVING子句（新版本，使用AnalysisGroupByHaving）
+     *
+     * @param havingConditions HAVING条件列表
+     * @return HAVING子句SQL
+     */
+    String generateHavingClauseFromConditions(List<AnalysisGroupByHaving> havingConditions);
+
+    /**
+     * 生成HAVING子句（旧版本，从规则表达式获取）
+     *
+     * @param rule   规则
+     * @return HAVING子句SQL
+     * @deprecated 使用 generateHavingClauseFromConditions 替代
+     */
+    @Deprecated
+    String generateHavingClause(AnalysisAnalysisRule rule);
+
+    /**
+     * 生成时间窗口SQL子句
+     *
+     * @param groupByWindow 时间窗口配置
+     * @return 窗口SQL子句
+     */
+    String generateWindowClause(AnalysisGroupByWindow groupByWindow);
+
+    /**
+     * 构建完整的SQL语句
+     *
+     * @param selectClause  SELECT子句
+     * @param fromClause    FROM子句
+     * @param whereClause   WHERE子句
+     * @param groupByClause GROUP BY子句
+     * @param havingClause  HAVING子句
+     * @return 完整SQL
+     */
+    String buildFullSql(String selectClause,
+                        String fromClause,
+                        String whereClause,
+                        String groupByClause,
+                        String havingClause);
+}
+

haobang-security-xdr/syslog-consumer/src/main/java/com/common/service/impl/AnalysisRuleServiceImpl.java

@@ -0,0 +1,114 @@
+package com.common.service.impl;
+
+import com.common.entity.AnalysisAnalysisRule;
+import com.common.mapper.AnalysisAnalysisRuleMapper;
+import com.common.service.AnalysisEngine;
+import com.common.service.AnalysisRuleService;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.stereotype.Service;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.ArrayList;
+/**
+ * 分析规则服务实现
+ */
+@Slf4j
+@Service
+public class AnalysisRuleServiceImpl implements AnalysisRuleService {
+
+    @Autowired
+    private AnalysisAnalysisRuleMapper ruleMapper;
+
+    @Autowired
+    @Qualifier("realtimeAnalysisEngine")
+    private AnalysisEngine realtimeAnalysisEngine;
+
+    @Autowired
+    @Qualifier("offlineAnalysisEngine")
+    private AnalysisEngine offlineAnalysisEngine;
+
+    @Override
+    public List<Map<String, Object>> executeRealtimeAnalysis() {
+        log.info("开始执行实时分析任务");
+        List<AnalysisAnalysisRule> rules = getActiveRules("realtime");
+        log.info("查询到 {} 条实时分析规则", rules.size());
+        return realtimeAnalysisEngine.executeRules(rules);
+    }
+
+    @Override
+    public List<Map<String, Object>> executeOfflineAnalysis() {
+        log.info("开始执行离线分析任务");
+        List<AnalysisAnalysisRule> rules = getActiveRules("offline");
+        log.info("查询到 {} 条离线分析规则", rules.size());
+        return offlineAnalysisEngine.executeRules(rules);
+    }
+
+    @Override
+    public List<AnalysisAnalysisRule> getActiveRules(String runMode) {
+        return ruleMapper.selectActiveRulesByRunMode(runMode);
+    }
+
+    @Override
+    public void stopRule(String ruleId) {
+        // 查询规则确定运行模式
+        AnalysisAnalysisRule rule = ruleMapper.selectByRuleId(ruleId);
+        if (rule != null) {
+            String runMode = rule.getRunMode();
+            if ("realtime".equalsIgnoreCase(runMode)) {
+                realtimeAnalysisEngine.stopRule(ruleId);
+            } else if ("offline".equalsIgnoreCase(runMode)) {
+                offlineAnalysisEngine.stopRule(ruleId);
+            }
+        }
+    }
+
+
+
+    @Override
+    public Map<String, Object> executeRealtimeRule(String ruleId) {
+        log.info("执行实时分析规则: ruleId={}", ruleId);
+
+        // 查询规则
+        AnalysisAnalysisRule rule = ruleMapper.selectByRuleId(ruleId);
+        if (rule == null) {
+            log.warn("规则不存在: ruleId={}", ruleId);
+            Map<String, Object> result = new HashMap<>();
+            result.put("success", false);
+            result.put("message", "规则不存在");
+            return result;
+        }
+
+        if (!"realtime".equalsIgnoreCase(rule.getRunMode())) {
+            log.warn("规则不是实时分析模式: ruleId={}, runMode={}", ruleId, rule.getRunMode());
+            Map<String, Object> result = new HashMap<>();
+            result.put("success", false);
+            result.put("message", "规则不是实时分析模式");
+            return result;
+        }
+
+        try {
+            // 执行单个规则
+            List<AnalysisAnalysisRule> ruleList = new ArrayList<>();
+            ruleList.add(rule);
+            List<Map<String, Object>> results = realtimeAnalysisEngine.executeRules(ruleList);
+
+            Map<String, Object> result = new HashMap<>();
+            result.put("success", true);
+            result.put("ruleId", ruleId);
+            result.put("ruleName", rule.getRuleName());
+            result.put("resultCount", results.size());
+            result.put("results", results);
+            return result;
+        } catch (Exception e) {
+            log.error("执行实时分析规则失败: ruleId={}", ruleId, e);
+            Map<String, Object> result = new HashMap<>();
+            result.put("success", false);
+            result.put("ruleId", ruleId);
+            result.put("message", e.getMessage());
+            return result;
+        }
+    }
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/service/impl/OfflineAnalysisEngine.java

@@ -0,0 +1,587 @@
+package com.common.service.impl;
+
+import com.common.entity.*;
+import com.common.mapper.*;
+import com.common.service.AnalysisEngine;
+import com.common.service.SqlGeneratorService;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Service;
+
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import java.util.*;
+
+/**
+ * 离线分析引擎实现
+ */
+@Slf4j
+@Service("offlineAnalysisEngine")
+public class OfflineAnalysisEngine implements AnalysisEngine {
+
+    @Autowired
+    private SqlGeneratorService sqlGeneratorService;
+
+    @Autowired
+    private AnalysisAnalysisRuleMapper ruleMapper;
+
+    @Autowired
+    private AnalysisFieldMapper fieldMapper;
+
+    @Autowired
+    private AnalysisWhereConditionMapper whereConditionMapper;
+
+    @Autowired
+    private AnalysisGroupByColumnMapper groupByColumnMapper;
+
+    @Autowired
+    private AnalysisFilterMapper filterMapper;
+
+    @Autowired
+    private AnalysisGroupByHavingMapper groupByHavingMapper;
+    @Autowired
+    private AnalysisGroupByMapper groupByMapper;
+
+    @Autowired
+    private AnalysisGroupByWindowMapper groupByWindowMapper;
+
+
+    @Autowired
+    private AnalysisTaskHistoryMapper taskHistoryMapper;
+
+    @Autowired
+    private AlarmMapper alarmMapper;
+
+    @Autowired
+    private JdbcTemplate jdbcTemplate;
+
+    private static final String RUN_MODE = "offline";
+    private static final DateTimeFormatter DATE_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
+
+    @Override
+    public Map<String, Object> executeRule(AnalysisAnalysisRule rule) {
+        String batchNo = generateBatchNo();
+        LocalDateTime startTime = LocalDateTime.now();
+
+        log.info("开始执行离线规则: ruleId={}, ruleName={}, batchNo={}",
+                rule.getRuleId(), rule.getRuleName(), batchNo);
+
+        // 从规则配置中获取时间范围
+        LocalDateTime dataStartTime = parseDataStartTime(rule);
+        LocalDateTime dataEndTime = parseDataEndTime(rule);
+
+        // 如果配置中没有指定时间范围，使用默认值
+        if (dataStartTime == null) {
+            dataStartTime = startTime.minusHours(1);
+        }
+        if (dataEndTime == null) {
+            dataEndTime = startTime;
+        }
+
+        // 创建任务历史记录
+        AnalysisTaskHistory history = AnalysisTaskHistory.builder()
+                .id(System.currentTimeMillis()) // 使用时间戳作为ID
+                .ruleId(rule.getRuleId())
+                .startTime(startTime)
+                .status("RUNNING")
+                .progressPercent(0)
+                .inputCount(0L)
+                .outputCount(0L)
+                .delFlag("0")
+                .createTime(startTime)
+                .updateTime(startTime)
+                .tenantId("000000")
+                .remark("离线分析任务 - " + batchNo)
+                .build();
+        taskHistoryMapper.insert(history);
+
+        Map<String, Object> result = new HashMap<>();
+        result.put("ruleId", rule.getRuleId());
+        result.put("ruleName", rule.getRuleName());
+        result.put("runMode", RUN_MODE);
+        result.put("batchNo", batchNo);
+        result.put("dataStartTime", dataStartTime);
+        result.put("dataEndTime", dataEndTime);
+
+        try {
+            // 更新规则状态为运行中
+            ruleMapper.updateTaskStatus(rule.getRuleId(), "running", 1L);
+
+            // 加载规则配置
+            List<AnalysisField> fields = fieldMapper.selectByRuleId(rule.getRuleId());
+            List<AnalysisWhereCondition> whereConditions = whereConditionMapper.selectByRuleId(rule.getRuleId());
+            List<AnalysisFilter> filters = filterMapper.selectByRuleId(rule.getRuleId());
+            List<AnalysisGroupByColumn> groupByColumns = groupByColumnMapper.selectByRuleId(rule.getRuleId());
+            List<AnalysisGroupByHaving> havingConditions = groupByHavingMapper.selectByRuleId(rule.getRuleId());
+
+
+            // 加载分组和窗口配置
+            AnalysisGroupByWindow groupByWindow = null;
+            List<AnalysisGroupBy> groupByList = groupByMapper.selectByRuleId(rule.getRuleId());
+            if (groupByList != null && !groupByList.isEmpty()) {
+                AnalysisGroupBy groupBy = groupByList.get(0);
+                if (groupBy.getId() != null) {
+                    groupByWindow = groupByWindowMapper.selectByGroupById(groupBy.getId().intValue());
+                }
+            }
+            // 生成SQL
+            String sql = sqlGeneratorService.generateSql(
+                    rule,
+                    fields,
+                    whereConditions,
+                    filters,
+                    groupByColumns,
+                    havingConditions,
+                    groupByWindow,
+                    dataStartTime.format(DATE_FORMATTER),
+                    dataEndTime.format(DATE_FORMATTER)
+            );
+
+            log.info("生成的SQL: {}", sql);
+
+            // 执行SQL
+            List<Map<String, Object>> queryResult = jdbcTemplate.queryForList(sql);
+            result.put("queryResult", queryResult);
+
+            // 处理结果，生成告警
+            long alarmCount = 0;
+            if (!queryResult.isEmpty()) {
+                List<Alarm> alarms = convertToAlarms(rule, queryResult);
+                if (!alarms.isEmpty()) {
+                    //String tableName = "alarm_" + dataStartTime.format(DateTimeFormatter.ofPattern("yyyyMMdd"));
+                    String tableName = "alarm";
+                    alarmMapper.batchInsert( alarms);
+                    alarmCount = alarms.size();
+                }
+            }
+
+            // 更新任务历史
+            LocalDateTime endTime = LocalDateTime.now();
+            long durationSeconds = java.time.Duration.between(startTime, endTime).getSeconds();
+            history.setEndTime(endTime);
+            history.setDurationTime(durationSeconds);
+            history.setProgressPercent(100);
+            history.setInputCount((long) queryResult.size());
+            history.setOutputCount(alarmCount);
+            history.setStatus("COMPLETED");
+            history.setUpdateTime(endTime);
+            taskHistoryMapper.update(history);
+
+            result.put("processedCount", queryResult.size());
+            result.put("alarmCount", alarmCount);
+            result.put("status", "success");
+
+            // 更新规则状态为等待
+            ruleMapper.updateTaskStatus(rule.getRuleId(), "waiting", 1L);
+
+            log.info("规则执行成功: ruleId={}, processedCount={}, alarmCount={}",
+                    rule.getRuleId(), queryResult.size(), alarmCount);
+
+        } catch (Exception e) {
+            log.error("规则执行失败: ruleId={}", rule.getRuleId(), e);
+
+            // 更新任务历史
+            LocalDateTime endTime = LocalDateTime.now();
+            long durationSeconds = java.time.Duration.between(startTime, endTime).getSeconds();
+            history.setEndTime(endTime);
+            history.setDurationTime(durationSeconds);
+            history.setStatus("FAILED");
+            //history.setRemark("执行失败: " + e.getMessage());
+            history.setRemark("执行失败: " + (e.getMessage().length()>480? e.getMessage().substring(0,480):e.getMessage()));
+            history.setUpdateTime(endTime);
+            taskHistoryMapper.update(history);
+
+            // 更新规则状态
+            ruleMapper.updateTaskStatus(rule.getRuleId(), "stopped", 1L);
+
+            result.put("status", "failed");
+            result.put("errorMsg", e.getMessage());
+        }
+
+        return result;
+    }
+
+    @Override
+    public List<Map<String, Object>> executeRules(List<AnalysisAnalysisRule> rules) {
+        List<Map<String, Object>> results = new ArrayList<>();
+
+        for (AnalysisAnalysisRule rule : rules) {
+            try {
+                Map<String, Object> result = executeRule(rule);
+                results.add(result);
+            } catch (Exception e) {
+                log.error("执行规则失败: ruleId={}", rule.getRuleId(), e);
+                Map<String, Object> errorResult = new HashMap<>();
+                errorResult.put("ruleId", rule.getRuleId());
+                errorResult.put("ruleName", rule.getRuleName());
+                errorResult.put("status", "failed");
+                errorResult.put("errorMsg", e.getMessage());
+                results.add(errorResult);
+            }
+        }
+
+        return results;
+    }
+
+    @Override
+    public void stopRule(String ruleId) {
+        try {
+            ruleMapper.updateTaskStatus(ruleId, "stopped", 1L);
+            log.info("已停止规则: ruleId={}", ruleId);
+        } catch (Exception e) {
+            log.error("停止规则失败: ruleId={}", ruleId, e);
+        }
+    }
+
+    @Override
+    public String getRunMode() {
+        return RUN_MODE;
+    }
+
+    /**
+     * 生成批次号
+     */
+    private String generateBatchNo() {
+        return LocalDateTime.now().format(DateTimeFormatter.ofPattern("yyyyMMddHHmmssSSS"));
+    }
+
+    /**
+     * 解析数据开始时间
+     */
+    private LocalDateTime parseDataStartTime(AnalysisAnalysisRule rule) {
+        // 从rule_content或rule_expression中解析时间范围
+        // 这里简化处理，实际需要解析JSON配置
+/*        if (StringUtils.isNotBlank(rule.getRuleContent())) {
+            // TODO: 解析JSON配置获取时间范围
+        }*/
+        return null;
+    }
+
+    /**
+     * 解析数据结束时间
+     */
+    private LocalDateTime parseDataEndTime(AnalysisAnalysisRule rule) {
+        // 从rule_content或rule_expression中解析时间范围
+/*        if (StringUtils.isNotBlank(rule.getRuleContent())) {
+            // TODO: 解析JSON配置获取时间范围
+        }*/
+        return null;
+    }
+
+    /**
+     * 转换查询结果为告警对象
+     * 复用实时引擎的转换逻辑
+     */
+    private List<Alarm> convertToAlarms(AnalysisAnalysisRule rule, List<Map<String, Object>> queryResult) {
+        List<Alarm> alarms = new ArrayList<>();
+
+        for (Map<String, Object> row : queryResult) {
+            Alarm alarm = Alarm.builder()
+                    .id(UUID.randomUUID().toString())
+                    .createdAt(LocalDateTime.now())
+                    .updatedAt(LocalDateTime.now())
+                    .alarmName(rule.getRuleName())
+                    .engineType("offline")
+                    .attackResult(-1)
+                    .focused(false)
+                    .fall(0)
+                    .alarmLevel("未知")
+                    .baseFocused(false)
+                    .isUpdated(false)
+                    .alarmSource(1)
+                    .dispositionAdvice("研判后处置")
+                    .disposedState(0)
+                    .attackDirection("other")
+                    .etlTime(LocalDateTime.now())
+                    .alarmAreaId(0)
+                    .build();
+
+            // 映射查询结果字段到告警对象（根据新表结构）
+            if (row.containsKey("log_start_at")) {
+                alarm.setLogStartAt(getTimestampValue(row.get("log_start_at")));
+            }
+            if (row.containsKey("log_end_at")) {
+                alarm.setLogEndAt(getTimestampValue(row.get("log_end_at")));
+            }
+            if (row.containsKey("alarm_name")) {
+                alarm.setComment(getStringValue(row.get("alarm_name")));
+            }
+            if (row.containsKey("alarm_type")) {
+                alarm.setComment(getStringValue(row.get("alarm_type")));
+            }
+            if (row.containsKey("alarm_level")) {
+                alarm.setAlarmLevel(convertAlarmLevel(getIntegerValue(row.get("alarm_level"))));
+            }
+            if (row.containsKey("attack_ip")) {
+                alarm.setAttackIp(getStringArray(row.get("attack_ip")));
+            }
+            if (row.containsKey("victim_ip")) {
+                alarm.setVictimIp(getStringArray(row.get("victim_ip")));
+            }
+            if (row.containsKey("victim_web_url")) {
+                alarm.setVictimWebUrl(getStringArray(row.get("victim_web_url")));
+            }
+            if (row.containsKey("attack_chain_phase")) {
+                alarm.setAttackChainPhase(getIntegerArray(row.get("attack_chain_phase")));
+            }
+            if (row.containsKey("device_id")) {
+                alarm.setDeviceId(getIntegerArray(row.get("device_id")));
+            }
+            if (row.containsKey("tag")) {
+                alarm.setTag(getStringArray(row.get("tag")));
+            }
+            if (row.containsKey("comment")) {
+                alarm.setComment(getStringValue(row.get("comment")));
+            }
+            if (row.containsKey("origin_log_ids")) {
+                alarm.setOriginLogIds(getStringArray(row.get("origin_log_ids")));
+            }
+            if (row.containsKey("query_id")) {
+                alarm.setQueryId(getStringValue(row.get("query_id")));
+            }
+            if (row.containsKey("attack_result")) {
+                alarm.setAttackResult(getIntegerValue(row.get("attack_result")));
+            }
+            if (row.containsKey("fall")) {
+                alarm.setFall(getIntegerValue(row.get("fall")));
+            }
+            if (row.containsKey("payload")) {
+                alarm.setPayload(getBytesValue(row.get("payload")));
+            }
+            if (row.containsKey("operate_event")) {
+                alarm.setOperateEvent(getIntegerArray(row.get("operate_event")));
+            }
+            if (row.containsKey("attack_port")) {
+                alarm.setAttackPort(getIntegerArray(row.get("attack_port")));
+            }
+            if (row.containsKey("victim_port")) {
+                alarm.setVictimPort(getIntegerArray(row.get("victim_port")));
+            }
+            if (row.containsKey("attack_method")) {
+                alarm.setAttackMethod(getStringValue(row.get("attack_method")));
+            }
+            if (row.containsKey("business_ext")) {
+                alarm.setBusinessExt(getStringValue(row.get("business_ext")));
+            }
+            if (row.containsKey("http_status")) {
+                alarm.setHttpStatus(getStringValue(row.get("http_status")));
+            }
+            if (row.containsKey("dns_info")) {
+                alarm.setDnsInfo(getStringValue(row.get("dns_info")));
+            }
+            if (row.containsKey("account_info")) {
+                alarm.setAccountInfo(getStringValue(row.get("account_info")));
+            }
+            if (row.containsKey("attacker_info")) {
+                alarm.setAttackerInfo(getStringValue(row.get("attacker_info")));
+            }
+            if (row.containsKey("victim_info")) {
+                alarm.setVictimInfo(getStringValue(row.get("victim_info")));
+            }
+            if (row.containsKey("suspicious_action")) {
+                alarm.setSuspiciousAction(getStringValue(row.get("suspicious_action")));
+            }
+            if (row.containsKey("vuln_info")) {
+                alarm.setVulnInfo(getStringValue(row.get("vuln_info")));
+            }
+            if (row.containsKey("weak_pwd")) {
+                alarm.setWeakPwd(getStringValue(row.get("weak_pwd")));
+            }
+            if (row.containsKey("compliance_baseline")) {
+                alarm.setComplianceBaseline(getStringValue(row.get("compliance_baseline")));
+            }
+            if (row.containsKey("file_info")) {
+                alarm.setFileInfo(getStringValue(row.get("file_info")));
+            }
+            if (row.containsKey("file_tags")) {
+                alarm.setFileTags(getStringValue(row.get("file_tags")));
+            }
+            if (row.containsKey("endpoint_info")) {
+                alarm.setEndpointInfo(getStringValue(row.get("endpoint_info")));
+            }
+            if (row.containsKey("origin_info")) {
+                alarm.setOriginInfo(getStringValue(row.get("origin_info")));
+            }
+            if (row.containsKey("protocol_info")) {
+                alarm.setProtocolInfo(getStringValue(row.get("protocol_info")));
+            }
+            if (row.containsKey("email_info")) {
+                alarm.setEmailInfo(getStringValue(row.get("email_info")));
+            }
+            if (row.containsKey("sensitive_data")) {
+                alarm.setSensitiveData(getStringValue(row.get("sensitive_data")));
+            }
+            if (row.containsKey("hit_intelligence")) {
+                alarm.setHitIntelligence(getIntegerValue(row.get("hit_intelligence")));
+            }
+            if (row.containsKey("window_time")) {
+                alarm.setWindowTime(getStringValue(row.get("window_time")));
+            }
+            if (row.containsKey("attack_ip_pic")) {
+                alarm.setAttackIpPic(getStringValue(row.get("attack_ip_pic")));
+            }
+            if (row.containsKey("victim_ip_pic")) {
+                alarm.setVictimIpPic(getStringValue(row.get("victim_ip_pic")));
+            }
+            if (row.containsKey("operation_at")) {
+                alarm.setOperationAt(getTimestampValue(row.get("operation_at")));
+            }
+            if (row.containsKey("attack_direction")) {
+                alarm.setAttackDirection(getStringValue(row.get("attack_direction")));
+            }
+            if (row.containsKey("etl_time")) {
+                alarm.setEtlTime(getTimestampValue(row.get("etl_time")));
+            }
+            if (row.containsKey("log_count")) {
+                alarm.setLogCount(getIntegerValue(row.get("log_count")));
+            }
+            if (row.containsKey("is_asset_hit")) {
+                alarm.setIsAssetHit(getIntegerValue(row.get("is_asset_hit")));
+            }
+            if (row.containsKey("http_req_header")) {
+                alarm.setHttpReqHeader(getStringArray(row.get("http_req_header")));
+            }
+            if (row.containsKey("http_req_body")) {
+                alarm.setHttpReqBody(getStringArray(row.get("http_req_body")));
+            }
+            if (row.containsKey("http_resp_header")) {
+                alarm.setHttpRespHeader(getStringArray(row.get("http_resp_header")));
+            }
+            if (row.containsKey("http_resp_body")) {
+                alarm.setHttpRespBody(getStringArray(row.get("http_resp_body")));
+            }
+            if (row.containsKey("window_time")) {
+                alarm.setLogEndAt(getTimestampValue(row.get("window_time")));
+            }
+            alarms.add(alarm);
+        }
+
+        return alarms;
+    }
+
+    private byte[] getBytesValue(Object value) {
+        if (value == null) {
+            return null;
+        }
+        if (value instanceof byte[]) {
+            return (byte[]) value;
+        }
+        return value.toString().getBytes();
+    }
+
+    // 以下为辅助方法，用于类型转换
+
+    private String getStringValue(Object value) {
+        if (value == null) {
+            return null;
+        }
+        return value.toString();
+    }
+
+    private Long getLongValue(Object value) {
+        if (value == null) {
+            return 0L;
+        }
+        if (value instanceof Number) {
+            return ((Number) value).longValue();
+        }
+        return Long.parseLong(value.toString());
+    }
+
+    private Integer getIntegerValue(Object value) {
+        if (value == null) {
+            return 0;
+        }
+        if (value instanceof Number) {
+            return ((Number) value).intValue();
+        }
+        return Integer.parseInt(value.toString());
+    }
+
+    private LocalDateTime getTimestampValue(Object value) {
+        if (value == null) {
+            return null;
+        }
+        if (value instanceof LocalDateTime) {
+            return (LocalDateTime) value;
+        }
+        return LocalDateTime.parse(value.toString());
+    }
+
+    @SuppressWarnings("unchecked")
+    private String[] getStringArray(Object value) {
+        if (value == null) {
+            return new String[0];
+        }
+        if (value instanceof String[]) {
+            return (String[]) value;
+        }
+        if (value instanceof Object[]) {
+            Object[] arr = (Object[]) value;
+            String[] result = new String[arr.length];
+            for (int i = 0; i < arr.length; i++) {
+                result[i] = arr[i] != null ? arr[i].toString() : null;
+            }
+            return result;
+        }
+        String str = value.toString();
+        if (str.startsWith("{") && str.endsWith("}")) {
+            str = str.substring(1, str.length() - 1);
+            return str.split(",");
+        }
+        return new String[]{str};
+    }
+
+    @SuppressWarnings("unchecked")
+    private Integer[] getIntegerArray(Object value) {
+        if (value == null) {
+            return new Integer[0];
+        }
+        String[] strArray = getStringArray(value);
+        Integer[] result = new Integer[strArray.length];
+        for (int i = 0; i < strArray.length; i++) {
+            try {
+                result[i] = Integer.parseInt(strArray[i]);
+            } catch (NumberFormatException e) {
+                result[i] = null;
+            }
+        }
+        return result;
+    }
+
+    @SuppressWarnings("unchecked")
+    private byte[][] getByteArrayArray(Object value) {
+        if (value == null) {
+            return new byte[0][];
+        }
+        if (value instanceof byte[][]) {
+            return (byte[][]) value;
+        }
+        if (value instanceof Object[]) {
+            Object[] arr = (Object[]) value;
+            byte[][] result = new byte[arr.length][];
+            for (int i = 0; i < arr.length; i++) {
+                if (arr[i] instanceof byte[]) {
+                    result[i] = (byte[]) arr[i];
+                } else {
+                    result[i] = arr[i] != null ? arr[i].toString().getBytes() : null;
+                }
+            }
+            return result;
+        }
+        return new byte[0][];
+    }
+
+    private String convertAlarmLevel(Integer eventLevel) {
+        if (eventLevel == null) return "未知";
+        switch (eventLevel) {
+            case 0: return "安全(无威胁)";
+            case 1: return "低危";
+            case 2: return "中危";
+            case 3: return "高危";
+            case 4: return "超危";
+            default: return "未知";
+        }
+    }
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/service/impl/RealtimeAnalysisEngine.java

@@ -0,0 +1,847 @@
+package com.common.service.impl;
+
+import com.common.entity.*;
+import com.common.mapper.*;
+import com.common.service.AnalysisEngine;
+import com.common.service.SqlGeneratorService;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.commons.lang3.StringUtils;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Service;
+
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import java.util.*;
+
+/**
+ * 实时分析引擎实现
+ */
+@Slf4j
+@Service("realtimeAnalysisEngine")
+public class RealtimeAnalysisEngine implements AnalysisEngine {
+
+    @Autowired
+    private SqlGeneratorService sqlGeneratorService;
+
+    @Autowired
+    private AnalysisAnalysisRuleMapper ruleMapper;
+
+    @Autowired
+    private AnalysisFieldMapper fieldMapper;
+
+    @Autowired
+    private AnalysisWhereConditionMapper whereConditionMapper;
+
+    @Autowired
+    private AnalysisGroupByColumnMapper groupByColumnMapper;
+
+
+    @Autowired
+    private AnalysisGroupByWindowMapper groupByWindowMapper;
+
+
+    @Autowired
+    private AnalysisFilterMapper filterMapper;
+
+    @Autowired
+    private AnalysisGroupByHavingMapper groupByHavingMapper;
+
+    @Autowired
+    private AnalysisTaskHistoryMapper taskHistoryMapper;
+
+    @Autowired
+    private AlarmMapper alarmMapper;
+    @Autowired
+    private AnalysisGroupByMapper groupByMapper;
+    @Autowired
+    private JdbcTemplate jdbcTemplate;
+
+    private static final String RUN_MODE = "realtime";
+    private static final DateTimeFormatter DATE_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
+
+    @Override
+    public Map<String, Object> executeRule(AnalysisAnalysisRule rule) {
+        String batchNo = generateBatchNo();
+        //LocalDateTime startTime = LocalDateTime.now();
+        //LocalDateTime dataEndTime = startTime;
+        //LocalDateTime dataStartTime = startTime.minusMinutes(30); // 默认查询最近30分钟
+        // 时间点取整分钟，避免秒级时间导致窗口计算不一致
+        LocalDateTime startTime = LocalDateTime.now().withSecond(0).withNano(0);
+        LocalDateTime dataEndTime = startTime;
+
+        // 加载分组和窗口配置（在计算时间范围之前）
+        AnalysisGroupByWindow groupByWindow = null;
+        List<AnalysisGroupBy> groupByList = groupByMapper.selectByRuleId(rule.getRuleId());
+        if (groupByList != null && !groupByList.isEmpty()) {
+            AnalysisGroupBy groupBy = groupByList.get(0);
+            if (groupBy.getId() != null) {
+                // groupBy.getId()是Long类型，需要转换为Integer
+                groupByWindow = groupByWindowMapper.selectByGroupById(groupBy.getId().intValue());
+            }
+        }
+
+        // 根据窗口类型动态计算数据查询时间范围
+        LocalDateTime dataStartTime = calculateDataStartTime(dataEndTime, groupByWindow);
+
+        log.info("开始执行实时规则: ruleId={}, ruleName={}, batchNo={}, windowType={}, dataStartTime={}, dataEndTime={}",
+                rule.getRuleId(), rule.getRuleName(), batchNo,
+                groupByWindow != null ? groupByWindow.getWindowType() : "NONE",
+                dataStartTime.format(DATE_FORMATTER),
+                dataEndTime.format(DATE_FORMATTER));
+
+        // 创建任务历史记录
+        AnalysisTaskHistory history = AnalysisTaskHistory.builder()
+                .id(System.currentTimeMillis()) // 使用时间戳作为ID
+                .ruleId(rule.getRuleId())
+                .startTime(startTime)
+                .status("RUNNING")
+                .progressPercent(0)
+                .inputCount(0L)
+                .outputCount(0L)
+                .delFlag("0")
+                .createTime(startTime)
+                .updateTime(startTime)
+                .tenantId("000000")
+                .remark("实时分析任务 - " + batchNo)
+                .build();
+        taskHistoryMapper.insert(history);
+
+        Map<String, Object> result = new HashMap<>();
+        result.put("ruleId", rule.getRuleId());
+        result.put("ruleName", rule.getRuleName());
+        result.put("runMode", RUN_MODE);
+        result.put("batchNo", batchNo);
+
+        try {
+            // 更新规则状态为运行中
+            ruleMapper.updateTaskStatus(rule.getRuleId(), "running", 1L);
+
+            // 加载规则配置
+            List<AnalysisField> fields = fieldMapper.selectByRuleId(rule.getRuleId());
+            List<AnalysisWhereCondition> whereConditions = whereConditionMapper.selectByRuleId(rule.getRuleId());
+            List<AnalysisFilter> filters = filterMapper.selectByRuleId(rule.getRuleId());
+            List<AnalysisGroupByColumn> groupByColumns = groupByColumnMapper.selectByRuleId(rule.getRuleId());
+            List<AnalysisGroupByHaving> havingConditions = groupByHavingMapper.selectByRuleId(rule.getRuleId());
+
+           /**
+            // 加载分组和窗口配置
+            AnalysisGroupByWindow groupByWindow = null;
+            List<AnalysisGroupBy> groupByList = groupByMapper.selectByRuleId(rule.getRuleId());
+            if (groupByList != null && !groupByList.isEmpty()) {
+                AnalysisGroupBy groupBy = groupByList.get(0);
+                if (groupBy.getId() != null) {
+                    groupByWindow = groupByWindowMapper.selectByGroupById(groupBy.getId().intValue());
+                }
+            }
+            ***/
+
+            // 生成SQL
+            String sql = sqlGeneratorService.generateSql(
+                    rule,
+                    fields,
+                    whereConditions,
+                    filters,
+                    groupByColumns,
+                    havingConditions,
+                    groupByWindow,
+                    dataStartTime.format(DATE_FORMATTER),
+                    dataEndTime.format(DATE_FORMATTER)
+            );
+
+            log.info("生成的SQL: {}", sql);
+
+            // 执行SQL
+            List<Map<String, Object>> queryResult = jdbcTemplate.queryForList(sql);
+            result.put("queryResult", queryResult);
+
+            // 处理结果，生成告警
+            long alarmCount = 0;
+            if (!queryResult.isEmpty()) {
+                List<Alarm> alarms = convertToAlarms(rule, queryResult);
+                if (!alarms.isEmpty()) {
+                    //String tableName = "alarm_" + dataStartTime.format(DateTimeFormatter.ofPattern("yyyyMMdd"));
+                    String tableName = "alarm";
+                    alarmMapper.batchInsert( alarms);
+                    alarmCount = alarms.size();
+                }
+            }
+
+            // 更新任务历史
+            LocalDateTime endTime = LocalDateTime.now();
+            long durationSeconds = java.time.Duration.between(startTime, endTime).getSeconds();
+            history.setEndTime(endTime);
+            history.setDurationTime(durationSeconds);
+            history.setProgressPercent(100);
+            history.setInputCount((long) queryResult.size());
+            history.setOutputCount(alarmCount);
+            history.setStatus("COMPLETED");
+            history.setUpdateTime(endTime);
+            taskHistoryMapper.update(history);
+
+            result.put("processedCount", queryResult.size());
+            result.put("alarmCount", alarmCount);
+            result.put("status", "success");
+
+            // 更新规则状态为等待
+            ruleMapper.updateTaskStatus(rule.getRuleId(), "waiting", 1L);
+
+            log.info("规则执行成功: ruleId={}, processedCount={}, alarmCount={}",
+                    rule.getRuleId(), queryResult.size(), alarmCount);
+
+        } catch (Exception e) {
+            log.error("规则执行失败: ruleId={}", rule.getRuleId(), e);
+
+            // 更新任务历史
+            LocalDateTime endTime = LocalDateTime.now();
+            long durationSeconds = java.time.Duration.between(startTime, endTime).getSeconds();
+            history.setEndTime(endTime);
+            history.setDurationTime(durationSeconds);
+            history.setStatus("FAILED");
+            history.setRemark("执行失败: " + (e.getMessage().length()>480? e.getMessage().substring(0,480):e.getMessage()));
+            history.setUpdateTime(endTime);
+            taskHistoryMapper.update(history);
+
+            // 更新规则状态
+            ruleMapper.updateTaskStatus(rule.getRuleId(), "stopped", 1L);
+
+            result.put("status", "failed");
+            result.put("errorMsg", e.getMessage());
+        }
+
+        return result;
+    }
+
+    @Override
+    public List<Map<String, Object>> executeRules(List<AnalysisAnalysisRule> rules) {
+        List<Map<String, Object>> results = new ArrayList<>();
+
+        for (AnalysisAnalysisRule rule : rules) {
+            try {
+                Map<String, Object> result = executeRule(rule);
+                results.add(result);
+            } catch (Exception e) {
+                log.error("执行规则失败: ruleId={}", rule.getRuleId(), e);
+                Map<String, Object> errorResult = new HashMap<>();
+                errorResult.put("ruleId", rule.getRuleId());
+                errorResult.put("ruleName", rule.getRuleName());
+                errorResult.put("status", "failed");
+                errorResult.put("errorMsg", e.getMessage());
+                results.add(errorResult);
+            }
+        }
+
+        return results;
+    }
+
+    @Override
+    public void stopRule(String ruleId) {
+        try {
+            ruleMapper.updateTaskStatus(ruleId, "stopped", 1L);
+            log.info("已停止规则: ruleId={}", ruleId);
+        } catch (Exception e) {
+            log.error("停止规则失败: ruleId={}", ruleId, e);
+        }
+    }
+
+    @Override
+    public String getRunMode() {
+        return RUN_MODE;
+    }
+
+    /**
+     * 生成批次号
+     */
+    private String generateBatchNo() {
+        return LocalDateTime.now().format(DateTimeFormatter.ofPattern("yyyyMMddHHmmssSSS"));
+    }
+    /**
+     * 根据窗口类型动态计算数据查询开始时间
+     *
+     * @param dataEndTime 数据查询结束时间
+     * @param groupByWindow 窗口配置
+     * @return 数据查询开始时间
+     */
+    private LocalDateTime calculateDataStartTime(LocalDateTime dataEndTime, AnalysisGroupByWindow groupByWindow) {
+        // 如果没有配置窗口，使用默认30分钟
+        if (groupByWindow == null) {
+            log.warn("未配置窗口类型，使用默认查询范围：最近30分钟");
+            return dataEndTime.minusMinutes(30);
+        }
+
+        String windowType = groupByWindow.getWindowType();
+
+        if (windowType == null || windowType.trim().isEmpty()) {
+            log.warn("窗口类型为空，使用默认查询范围：最近30分钟");
+            return dataEndTime.minusMinutes(30);
+        }
+
+        switch (windowType.toUpperCase()) {
+            case "TUMBLE":
+                // 滚动窗口：查询最近一个完整窗口的数据
+                return calculateTumbleWindowStartTime(dataEndTime, groupByWindow);
+
+            case "HOP":
+                // 滑动窗口：查询覆盖当前时间点的所有滑动窗口
+                return calculateHopWindowStartTime(dataEndTime, groupByWindow);
+
+            case "SESSION":
+                // 会话窗口：查询最近一个会话超时时间的数据
+                return calculateSessionWindowStartTime(dataEndTime, groupByWindow);
+
+            default:
+                log.warn("未知窗口类型: {}，使用默认查询范围：最近30分钟", windowType);
+                return dataEndTime.minusMinutes(30);
+        }
+    }
+
+    /**
+     * 计算滚动窗口的数据查询开始时间
+     *
+     * 滚动窗口特点：窗口之间不重叠，数据量固定
+     * 查询策略：查询最近1个窗口的数据（包含当前正在进行的窗口）
+     */
+    private LocalDateTime calculateTumbleWindowStartTime(LocalDateTime dataEndTime, AnalysisGroupByWindow groupByWindow) {
+        Integer windowSize = groupByWindow.getTumbleWindowSize();
+        String windowSizeUnit = groupByWindow.getTumbleWindowSizeUnit();
+
+        if (windowSize == null || windowSize <= 0) {
+            log.warn("滚动窗口大小配置无效，使用默认值：5分钟");
+            windowSize = 5;
+            windowSizeUnit = "m";
+        }
+
+        if (windowSizeUnit == null || windowSizeUnit.trim().isEmpty()) {
+            windowSizeUnit = "m";
+        }
+
+        LocalDateTime dataStartTime;
+        switch (windowSizeUnit.toLowerCase()) {
+            case "s":
+                dataStartTime = dataEndTime.minusSeconds(windowSize);
+                break;
+            case "m":
+                dataStartTime = dataEndTime.minusMinutes(windowSize);
+                break;
+            case "h":
+                dataStartTime = dataEndTime.minusHours(windowSize);
+                break;
+            case "d":
+                dataStartTime = dataEndTime.minusDays(windowSize);
+                break;
+            default:
+                log.warn("滚动窗口单位无效: {}，使用默认单位：分钟", windowSizeUnit);
+                dataStartTime = dataEndTime.minusMinutes(windowSize);
+        }
+
+        log.info("滚动窗口查询范围: 窗口大小={}{}，查询时间范围=[{}, {}]",
+                windowSize, windowSizeUnit,
+                dataStartTime.format(DATE_FORMATTER),
+                dataEndTime.format(DATE_FORMATTER));
+
+        return dataStartTime;
+    }
+
+    /**
+     * 计算滑动窗口的数据查询开始时间
+     *
+     * 滑动窗口特点：窗口之间重叠，每个滑动步长触发一次计算
+     * 查询策略：查询覆盖当前时间点的完整窗口（窗口大小），而不是查询所有历史滑动窗口
+     * 原因：避免数据量过大，实时分析只需要分析当前活跃窗口的数据
+     */
+    private LocalDateTime calculateHopWindowStartTime(LocalDateTime dataEndTime, AnalysisGroupByWindow groupByWindow) {
+        Integer windowSize = groupByWindow.getHopWindowSize();
+        String windowSizeUnit = groupByWindow.getHopWindowSizeUnit();
+
+        if (windowSize == null || windowSize <= 0) {
+            log.warn("滑动窗口大小配置无效，使用默认值：5分钟");
+            windowSize = 5;
+            windowSizeUnit = "m";
+        }
+
+        if (windowSizeUnit == null || windowSizeUnit.trim().isEmpty()) {
+            windowSizeUnit = "m";
+        }
+
+        LocalDateTime dataStartTime;
+        switch (windowSizeUnit.toLowerCase()) {
+            case "s":
+                dataStartTime = dataEndTime.minusSeconds(windowSize);
+                break;
+            case "m":
+                dataStartTime = dataEndTime.minusMinutes(windowSize);
+                break;
+            case "h":
+                dataStartTime = dataEndTime.minusHours(windowSize);
+                break;
+            case "d":
+                dataStartTime = dataEndTime.minusDays(windowSize);
+                break;
+            default:
+                log.warn("滑动窗口单位无效: {}，使用默认单位：分钟", windowSizeUnit);
+                dataStartTime = dataEndTime.minusMinutes(windowSize);
+        }
+
+        log.info("滑动窗口查询范围: 窗口大小={}{}，查询时间范围=[{}, {}]",
+                windowSize, windowSizeUnit,
+                dataStartTime.format(DATE_FORMATTER),
+                dataEndTime.format(DATE_FORMATTER));
+
+        return dataStartTime;
+    }
+
+    /**
+     * 计算会话窗口的数据查询开始时间
+     *
+     * 会话窗口特点：根据用户行为动态划分，超时后结束会话
+     * 查询策略：查询最近一个会话超时时间的数据，确保捕获活跃会话
+     * 额外策略：为避免遗漏跨天或长时间运行的会话，额外增加1天缓冲时间
+     */
+    private LocalDateTime calculateSessionWindowStartTime(LocalDateTime dataEndTime, AnalysisGroupByWindow groupByWindow) {
+        Integer sessionTimeout = groupByWindow.getSessionWindowSize();
+        String sessionTimeoutUnit = groupByWindow.getSessionWindowSizeUnit();
+
+        if (sessionTimeout == null || sessionTimeout <= 0) {
+            log.warn("会话窗口超时时间配置无效，使用默认值：30分钟");
+            sessionTimeout = 30;
+            sessionTimeoutUnit = "m";
+        }
+
+        if (sessionTimeoutUnit == null || sessionTimeoutUnit.trim().isEmpty()) {
+            sessionTimeoutUnit = "m";
+        }
+
+        LocalDateTime dataStartTime;
+        switch (sessionTimeoutUnit.toLowerCase()) {
+            case "s":
+                dataStartTime = dataEndTime.minusSeconds(sessionTimeout);
+                break;
+            case "m":
+                dataStartTime = dataEndTime.minusMinutes(sessionTimeout);
+                break;
+            case "h":
+                dataStartTime = dataEndTime.minusHours(sessionTimeout);
+                break;
+            case "d":
+                dataStartTime = dataEndTime.minusDays(sessionTimeout);
+                break;
+            default:
+                log.warn("会话窗口超时单位无效: {}，使用默认单位：分钟", sessionTimeoutUnit);
+                dataStartTime = dataEndTime.minusMinutes(sessionTimeout);
+        }
+
+        // 会话窗口额外增加1天缓冲时间，避免遗漏跨天或长时间运行的会话
+        dataStartTime = dataStartTime.minusDays(1);
+
+        log.info("会话窗口查询范围: 超时时间={}{}，额外缓冲1天，查询时间范围=[{}, {}]",
+                sessionTimeout, sessionTimeoutUnit,
+                dataStartTime.format(DATE_FORMATTER),
+                dataEndTime.format(DATE_FORMATTER));
+
+        return dataStartTime;
+    }
+
+
+    /**
+     * 转换查询结果为告警对象
+     */
+    private List<Alarm> convertToAlarms(AnalysisAnalysisRule rule, List<Map<String, Object>> queryResult) {
+        List<Alarm> alarms = new ArrayList<>();
+
+        for (Map<String, Object> row : queryResult) {
+            Alarm alarm = Alarm.builder()
+                    .id(UUID.randomUUID().toString())
+                    .createdAt(LocalDateTime.now())
+                    .updatedAt(LocalDateTime.now())
+                    .alarmName(rule.getRuleName())
+                    .engineType("realtime")
+                    .attackResult(-1)
+                    .focused(false)
+                    .fall(0)
+                    .alarmLevel("未知")
+                    .baseFocused(false)
+                    .isUpdated(false)
+                    .alarmSource(1)
+                    .dispositionAdvice("研判后处置")
+                    .disposedState(0)
+                    .attackDirection("other")
+                    .etlTime(LocalDateTime.now())
+                    .alarmAreaId(0)
+                    .comment(buildComment(row))
+                    .attackChainPhase(getIntegerArray(-1))
+                    .judgedState(0)
+                    .build();
+
+            // 映射查询结果字段到告警对象
+            if (row.containsKey("log_start_at")) {
+                alarm.setLogStartAt(getTimestampValue(row.get("log_start_at")));
+            }
+            if (row.containsKey("log_end_at")) {
+                alarm.setLogEndAt(getTimestampValue(row.get("log_end_at")));
+            }
+            if (row.containsKey("alarm_name")) {
+                alarm.setAlarmName(getStringValue(row.get("alarm_name")));
+            }
+            if (row.containsKey("alarm_type")) {
+                alarm.setAlarmType(getStringValue(row.get("alarm_type")));
+            }
+            if (row.containsKey("alarm_level")) {
+                alarm.setAlarmLevel(convertAlarmLevel(getIntegerValue(row.get("alarm_level"))));
+            }
+            if (row.containsKey("attack_ip")) {
+                alarm.setAttackIp(getStringArray(row.get("attack_ip")));
+            }
+            if (row.containsKey("victim_ip")) {
+                alarm.setVictimIp(getStringArray(row.get("victim_ip")));
+            }
+            if (row.containsKey("victim_web_url")) {
+                alarm.setVictimWebUrl(getStringArray(row.get("victim_web_url")));
+            }
+            if (row.containsKey("attack_chain_phase")) {
+                alarm.setAttackChainPhase(getIntegerArray(row.get("attack_chain_phase")));
+            }
+            if (row.containsKey("device_id")) {
+                alarm.setDeviceId(getIntegerArray(row.get("device_id")));
+            }
+            if (row.containsKey("tag")) {
+                alarm.setTag(getStringArray(row.get("tag")));
+            }
+            if (row.containsKey("comment")) {
+                alarm.setComment(getStringValue(row.get("comment")));
+            }
+            if (row.containsKey("origin_log_ids")) {
+                alarm.setOriginLogIds(getStringArray(row.get("origin_log_ids")));
+            }
+            if (row.containsKey("query_id")) {
+                alarm.setQueryId(getStringValue(row.get("query_id")));
+            }
+            if (row.containsKey("attack_result")) {
+                alarm.setAttackResult(getIntegerValue(row.get("attack_result")));
+            }
+            if (row.containsKey("fall")) {
+                alarm.setFall(getIntegerValue(row.get("fall")));
+            }
+            if (row.containsKey("payload")) {
+                alarm.setPayload(getBytesValue(row.get("payload")));
+            }
+            if (row.containsKey("operate_event")) {
+                alarm.setOperateEvent(getIntegerArray(row.get("operate_event")));
+            }
+            if (row.containsKey("attack_port")) {
+                alarm.setAttackPort(getIntegerArray(row.get("attack_port")));
+            }
+            if (row.containsKey("victim_port")) {
+                alarm.setVictimPort(getIntegerArray(row.get("victim_port")));
+            }
+            if (row.containsKey("attack_method")) {
+                alarm.setAttackMethod(getStringValue(row.get("attack_method")));
+            }
+            if (row.containsKey("business_ext")) {
+                alarm.setBusinessExt(getStringValue(row.get("business_ext")));
+            }
+            if (row.containsKey("http_status")) {
+                alarm.setHttpStatus(getStringValue(row.get("http_status")));
+            }
+            if (row.containsKey("dns_info")) {
+                alarm.setDnsInfo(getStringValue(row.get("dns_info")));
+            }
+            if (row.containsKey("account_info")) {
+                alarm.setAccountInfo(getStringValue(row.get("account_info")));
+            }
+            if (row.containsKey("attacker_info")) {
+                alarm.setAttackerInfo(getStringValue(row.get("attacker_info")));
+            }
+            if (row.containsKey("victim_info")) {
+                alarm.setVictimInfo(getStringValue(row.get("victim_info")));
+            }
+            if (row.containsKey("suspicious_action")) {
+                alarm.setSuspiciousAction(getStringValue(row.get("suspicious_action")));
+            }
+            if (row.containsKey("vuln_info")) {
+                alarm.setVulnInfo(getStringValue(row.get("vuln_info")));
+            }
+            if (row.containsKey("weak_pwd")) {
+                alarm.setWeakPwd(getStringValue(row.get("weak_pwd")));
+            }
+            if (row.containsKey("compliance_baseline")) {
+                alarm.setComplianceBaseline(getStringValue(row.get("compliance_baseline")));
+            }
+            if (row.containsKey("file_info")) {
+                alarm.setFileInfo(getStringValue(row.get("file_info")));
+            }
+            if (row.containsKey("file_tags")) {
+                alarm.setFileTags(getStringValue(row.get("file_tags")));
+            }
+            if (row.containsKey("endpoint_info")) {
+                alarm.setEndpointInfo(getStringValue(row.get("endpoint_info")));
+            }
+            if (row.containsKey("origin_info")) {
+                alarm.setOriginInfo(getStringValue(row.get("origin_info")));
+            }
+            if (row.containsKey("protocol_info")) {
+                alarm.setProtocolInfo(getStringValue(row.get("protocol_info")));
+            }
+            if (row.containsKey("email_info")) {
+                alarm.setEmailInfo(getStringValue(row.get("email_info")));
+            }
+            if (row.containsKey("sensitive_data")) {
+                alarm.setSensitiveData(getStringValue(row.get("sensitive_data")));
+            }
+            if (row.containsKey("hit_intelligence")) {
+                alarm.setHitIntelligence(getIntegerValue(row.get("hit_intelligence")));
+            }
+            if (row.containsKey("window_time")) {
+                alarm.setWindowTime(getStringValue(row.get("window_time")));
+            }
+            if (row.containsKey("attack_ip_pic")) {
+                alarm.setAttackIpPic(getStringValue(row.get("attack_ip_pic")));
+            }
+            if (row.containsKey("victim_ip_pic")) {
+                alarm.setVictimIpPic(getStringValue(row.get("victim_ip_pic")));
+            }
+            if (row.containsKey("operation_at")) {
+                alarm.setOperationAt(getTimestampValue(row.get("operation_at")));
+            }
+            if (row.containsKey("attack_direction")) {
+                alarm.setAttackDirection(getStringValue(row.get("attack_direction")));
+            }
+            if (row.containsKey("etl_time")) {
+                alarm.setEtlTime(getTimestampValue(row.get("etl_time")));
+            }
+            if (row.containsKey("log_count")) {
+                alarm.setLogCount(getIntegerValue(row.get("log_count")));
+            }
+            if (row.containsKey("is_asset_hit")) {
+                alarm.setIsAssetHit(getIntegerValue(row.get("is_asset_hit")));
+            }
+            if (row.containsKey("http_req_header")) {
+                alarm.setHttpReqHeader(getStringArray(row.get("http_req_header")));
+            }
+            if (row.containsKey("http_req_body")) {
+                alarm.setHttpReqBody(getStringArray(row.get("http_req_body")));
+            }
+            if (row.containsKey("http_resp_header")) {
+                alarm.setHttpRespHeader(getStringArray(row.get("http_resp_header")));
+            }
+            if (row.containsKey("http_resp_body")) {
+                alarm.setHttpRespBody(getStringArray(row.get("http_resp_body")));
+            }
+            if (row.containsKey("window_time")) {
+                alarm.setLogEndAt(getTimestampValue(row.get("window_time")));
+            }
+            alarms.add(alarm);
+        }
+
+        return alarms;
+    }
+
+    private byte[] getBytesValue(Object value) {
+        if (value == null) {
+            return null;
+        }
+        if (value instanceof byte[]) {
+            return (byte[]) value;
+        }
+        return value.toString().getBytes();
+    }
+
+    // 以下为辅助方法，用于类型转换
+
+    private String getStringValue(Object value) {
+        if (value == null) {
+            return null;
+        }
+        return value.toString();
+    }
+
+    private Long getLongValue(Object value) {
+        if (value == null) {
+            return 0L;
+        }
+        if (value instanceof Number) {
+            return ((Number) value).longValue();
+        }
+        return Long.parseLong(value.toString());
+    }
+
+    private Integer getIntegerValue(Object value) {
+        if (value == null) {
+            return -1;
+        }
+        if (value instanceof Number) {
+            return ((Number) value).intValue();
+        }
+        return Integer.parseInt(value.toString());
+    }
+
+    private LocalDateTime getTimestampValue(Object value) {
+        if (value == null) {
+            return null;
+        }
+        if (value instanceof LocalDateTime) {
+            return (LocalDateTime) value;
+        }
+
+        String strValue = value.toString().trim();
+
+        // 尝试多种时间格式解析
+        String[] patterns = {
+                "yyyy-MM-dd HH:mm:ss.SSS",      // 2026-02-05 18:14:25.824
+                "yyyy-MM-dd HH:mm:ss",           // 2026-02-05 18:14:25
+                "yyyy-MM-dd'T'HH:mm:ss.SSS",     // 2026-02-05T18:14:25.824
+                "yyyy-MM-dd'T'HH:mm:ss",          // 2026-02-05T18:14:25
+                "yyyy-MM-dd HH:mm:ss.SSSSSS",  // 带微秒
+                "yyyy-MM-dd HH:mm:ss.SSSSS",   // 带10万分秒
+                "yyyy-MM-dd HH:mm:ss.S",        // 1位毫秒
+                "yyyy-MM-dd HH:mm:ss.SS",       // 2位毫秒
+                "yyyy-MM-dd'T'HH:mm:ss.SSSSSSS", // ISO带纳秒
+                "yyyy-MM-dd",                   // 只有日期
+                "yyyy/MM/dd HH:mm:ss",         // 斜杠分隔
+                "yyyy/MM/dd HH:mm:ss.SSS"      // 斜杠分隔+毫秒
+        };
+
+        for (String pattern : patterns) {
+            try {
+                return LocalDateTime.parse(strValue, java.time.format.DateTimeFormatter.ofPattern(pattern));
+            } catch (Exception ignored) {
+                // 继续尝试下一个格式
+            }
+        }
+
+        // 如果所有格式都失败，尝试直接解析（ISO格式）
+        try {
+            return LocalDateTime.parse(strValue);
+        } catch (Exception e) {
+            log.warn("无法解析时间字符串: {}", strValue);
+            return null;
+        }
+    }
+
+    @SuppressWarnings("unchecked")
+    private String[] getStringArray(Object value) {
+        if (value == null) {
+            return new String[0];
+        }
+        if (value instanceof String[]) {
+            return (String[]) value;
+        }
+        if (value instanceof Object[]) {
+            Object[] arr = (Object[]) value;
+            String[] result = new String[arr.length];
+            for (int i = 0; i < arr.length; i++) {
+                result[i] = arr[i] != null ? arr[i].toString() : null;
+            }
+            return result;
+        }
+        // PostgreSQL数组以字符串形式返回，如 "{ip1,ip2,ip3}"
+        String str = value.toString();
+        if (str.startsWith("{") && str.endsWith("}")) {
+            str = str.substring(1, str.length() - 1);
+            return str.split(",");
+        }
+        return new String[]{str};
+    }
+
+    @SuppressWarnings("unchecked")
+    private Integer[] getIntegerArray(Object value) {
+        if (value == null) {
+            return new Integer[0];
+        }
+        String[] strArray = getStringArray(value);
+        Integer[] result = new Integer[strArray.length];
+        for (int i = 0; i < strArray.length; i++) {
+            try {
+                result[i] = Integer.parseInt(strArray[i]);
+            } catch (NumberFormatException e) {
+                result[i] = null;
+            }
+        }
+        return result;
+    }
+
+    @SuppressWarnings("unchecked")
+    private byte[][] getByteArrayArray(Object value) {
+        if (value == null) {
+            return new byte[0][];
+        }
+        if (value instanceof byte[][]) {
+            return (byte[][]) value;
+        }
+        if (value instanceof Object[]) {
+            Object[] arr = (Object[]) value;
+            byte[][] result = new byte[arr.length][];
+            for (int i = 0; i < arr.length; i++) {
+                if (arr[i] instanceof byte[]) {
+                    result[i] = (byte[]) arr[i];
+                } else {
+                    result[i] = arr[i] != null ? arr[i].toString().getBytes() : null;
+                }
+            }
+            return result;
+        }
+        return new byte[0][];
+    }
+
+    private String convertAlarmLevel(Integer eventLevel) {
+        if (eventLevel == null) return "未知";
+        switch (eventLevel) {
+            case 0: return "安全(无威胁)";
+            case 1: return "低危";
+            case 2: return "中危";
+            case 3: return "高危";
+            case 4: return "超危";
+            default: return "未知";
+        }
+    }
+
+    /**
+     * 构建comment字段
+     */
+    private String buildComment(Map<String, Object> row) {
+        String victimIpsStr;
+        if (row.containsKey("victim_ip")) {
+            victimIpsStr = String.join(",",  getStringArray(row.get("victim_ip")));
+        }
+        else {
+            victimIpsStr = "未知";
+        }
+        String alarmName="";
+        if (row.containsKey("alarm_name")) {
+            alarmName=getStringValue(row.get("alarm_name"));
+        }
+        String AttackIps="";
+        if (row.containsKey("attack_ip")) {
+            AttackIps=String.join(",",  getStringArray(row.get("attack_ip")));
+        }
+        return String.format(
+                "24小时内，检测到%s上产生%s告警：\n告警名称：%s\n攻击IP：%s\n攻击结果：%d",
+                victimIpsStr,
+                convertAlarmLevel(getIntegerValue(row.get("alarm_level"))),
+                alarmName,
+                AttackIps,
+                determineAttackResult(row)
+        );
+
+    }
+    private String convertAttackIps(String[] attackIps) {
+        if (attackIps == null || attackIps.length == 0) {
+            return null;
+        }
+        return String.join(",", attackIps);
+    }
+    /**
+     * 确定attack_result的值
+     */
+    private Integer determineAttackResult( Map<String, Object> row ) {
+        // 优先使用单个attack_result值
+        if (row.containsKey("attack_result")) {
+            return getIntegerValue(row.get("attack_result"));
+        }
+        else
+        {
+            return -1;
+        }
+
+    }
+
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/service/impl/RuleExecutionTimeServiceImpl.java

@@ -0,0 +1,281 @@
+package com.common.service.impl;
+
+
+
+import com.common.entity.AnalysisAnalysisRule;
+import com.common.entity.AnalysisGroupByWindow;
+import com.common.service.RuleExecutionTimeService;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.data.redis.core.RedisTemplate;
+import org.springframework.stereotype.Service;
+
+import java.time.Duration;
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import java.util.Set;
+import  java.time.temporal.ChronoUnit;
+/**
+ * 规则执行时间管理服务实现（基于Redis）
+ * 根据窗口类型（滚动、滑动、会话）动态计算下次执行时间
+ */
+@Slf4j
+@Service
+public class RuleExecutionTimeServiceImpl implements RuleExecutionTimeService {
+
+    private static final String REDIS_KEY_PREFIX = "rule:next_execute:";
+    private static final DateTimeFormatter DATE_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
+
+    @Autowired
+    private RedisTemplate<String, String> redisTemplate;
+
+    @Override
+    public LocalDateTime getNextExecuteTime(String ruleId) {
+        String key = REDIS_KEY_PREFIX + ruleId;
+        String value = redisTemplate.opsForValue().get(key);
+
+        if (value == null) {
+            log.debug("规则首次执行，无下次执行时间记录，ruleId={}", ruleId);
+            return null;
+        }
+
+        try {
+            return LocalDateTime.parse(value, DATE_FORMATTER);
+        } catch (Exception e) {
+            log.error("解析下次执行时间失败，ruleId={}, value={}", ruleId, value, e);
+            return null;
+        }
+    }
+
+    @Override
+    public void updateNextExecuteTime(AnalysisAnalysisRule rule, AnalysisGroupByWindow groupByWindow) {
+        LocalDateTime nextTime = calculateNextExecuteTime(rule, groupByWindow);
+        String ruleId = rule.getRuleId();
+
+        String key = REDIS_KEY_PREFIX + ruleId;
+        String value = nextTime.format(DATE_FORMATTER);
+
+        // 设置过期时间：5天
+        redisTemplate.opsForValue().set(key, value, Duration.ofDays(5));
+
+        log.info("更新规则下次执行时间，ruleId={}, ruleName={}, windowType={}, nextExecuteTime={}",
+                ruleId, rule.getRuleName(),
+                groupByWindow != null ? groupByWindow.getWindowType() : "NONE",
+                value);
+    }
+
+    @Override
+    public void initRuleExecuteTime(AnalysisAnalysisRule rule, AnalysisGroupByWindow groupByWindow) {
+        String ruleId = rule.getRuleId();
+        String key = REDIS_KEY_PREFIX + ruleId;
+
+        // 如果已存在，则不覆盖（防止重启后重新计算）
+        if (redisTemplate.hasKey(key)) {
+            log.info("规则执行时间已存在，跳过初始化，ruleId={}", ruleId);
+            return;
+        }
+
+        // 计算初始执行时间（当前时间 + 窗口间隔）
+        LocalDateTime nextTime = calculateNextExecuteTime(rule, groupByWindow);
+        String value = nextTime.format(DATE_FORMATTER);
+
+        redisTemplate.opsForValue().set(key, value, Duration.ofDays(5));
+
+        log.info("初始化规则执行时间，ruleId={}, ruleName={}, windowType={}, nextExecuteTime={}",
+                ruleId, rule.getRuleName(),
+                groupByWindow != null ? groupByWindow.getWindowType() : "NONE",
+                value);
+    }
+
+    @Override
+    public void removeRuleExecuteTime(String ruleId) {
+        String key = REDIS_KEY_PREFIX + ruleId;
+        redisTemplate.delete(key);
+        log.debug("删除规则执行时间记录，ruleId={}", ruleId);
+    }
+
+    @Override
+    public void clearAllRuleExecuteTime() {
+        String pattern = REDIS_KEY_PREFIX + "*";
+        Set<String> keys = redisTemplate.keys(pattern);
+
+        if (keys != null && !keys.isEmpty()) {
+            redisTemplate.delete(keys);
+            log.info("清空所有规则执行时间，共 {} 条", keys.size());
+        }
+    }
+
+    /**
+     * 根据窗口类型动态计算下次执行时间
+     *
+     * @param rule 分析规则
+     * @param groupByWindow 窗口配置
+     * @return 下次执行时间
+     */
+    private LocalDateTime calculateNextExecuteTime(AnalysisAnalysisRule rule, AnalysisGroupByWindow groupByWindow) {
+        LocalDateTime now = LocalDateTime.now().truncatedTo(ChronoUnit.MINUTES);
+
+        // 如果没有配置窗口，使用默认30秒
+        if (groupByWindow == null) {
+            log.warn("未配置窗口类型，使用默认执行间隔：60秒");
+            return now.plusSeconds(60);
+        }
+
+        String windowType = groupByWindow.getWindowType();
+
+        if (windowType == null || windowType.trim().isEmpty()) {
+            log.warn("窗口类型为空，使用默认执行间隔：60秒");
+            return now.plusSeconds(60);
+        }
+
+        switch (windowType.toUpperCase()) {
+            case "TUMBLE":
+                return calculateTumbleNextExecuteTime(now, groupByWindow);
+
+            case "HOP":
+                return calculateHopNextExecuteTime(now, groupByWindow);
+
+            case "SESSION":
+                return calculateSessionNextExecuteTime(now, groupByWindow);
+
+            default:
+                log.warn("未知窗口类型: {}，使用默认执行间隔：60秒", windowType);
+                return now.plusSeconds(60);
+        }
+    }
+
+    /**
+     * 计算滚动窗口的下次执行时间
+     *
+     * 策略：执行间隔 = 窗口大小
+     * 示例：窗口大小5分钟，则每5分钟执行一次
+     */
+    private LocalDateTime calculateTumbleNextExecuteTime(LocalDateTime now, AnalysisGroupByWindow groupByWindow) {
+        Integer windowSize = groupByWindow.getTumbleWindowSize();
+        String windowSizeUnit = groupByWindow.getTumbleWindowSizeUnit();
+
+        if (windowSize == null || windowSize <= 0) {
+            log.warn("滚动窗口大小配置无效，使用默认值：5分钟");
+            windowSize = 5;
+            windowSizeUnit = "m";
+        }
+
+        if (windowSizeUnit == null || windowSizeUnit.trim().isEmpty()) {
+            windowSizeUnit = "m";
+        }
+
+        LocalDateTime nextTime;
+        switch (windowSizeUnit.toLowerCase()) {
+            case "s":
+                nextTime = now.plusSeconds(windowSize);
+                break;
+            case "m":
+                nextTime = now.plusMinutes(windowSize);
+                break;
+            case "h":
+                nextTime = now.plusHours(windowSize);
+                break;
+            case "d":
+                nextTime = now.plusDays(windowSize);
+                break;
+            default:
+                log.warn("滚动窗口单位无效: {}，使用默认单位：分钟", windowSizeUnit);
+                nextTime = now.plusMinutes(windowSize);
+        }
+
+        log.debug("滚动窗口下次执行时间: 窗口大小={}{}，nextTime={}",
+                windowSize, windowSizeUnit, nextTime.format(DATE_FORMATTER));
+
+        return nextTime;
+    }
+
+    /**
+     * 计算滑动窗口的下次执行时间
+     *
+     * 策略：执行间隔 = 滑动步长（slide）
+     * 示例：窗口大小10分钟，步长5分钟，则每5分钟执行一次
+     */
+    private LocalDateTime calculateHopNextExecuteTime(LocalDateTime now, AnalysisGroupByWindow groupByWindow) {
+        Integer slide = groupByWindow.getHopWindowSlide();
+        String slideUnit = groupByWindow.getHopWindowSizeUnit();
+
+        if (slide == null || slide <= 0) {
+            log.warn("滑动窗口步长配置无效，使用默认值：5分钟");
+            slide = 5;
+            slideUnit = "m";
+        }
+
+        if (slideUnit == null || slideUnit.trim().isEmpty()) {
+            slideUnit = "m";
+        }
+
+        LocalDateTime nextTime;
+        switch (slideUnit.toLowerCase()) {
+            case "s":
+                nextTime = now.plusSeconds(slide);
+                break;
+            case "m":
+                nextTime = now.plusMinutes(slide);
+                break;
+            case "h":
+                nextTime = now.plusHours(slide);
+                break;
+            case "d":
+                nextTime = now.plusDays(slide);
+                break;
+            default:
+                log.warn("滑动窗口步长单位无效: {}，使用默认单位：分钟", slideUnit);
+                nextTime = now.plusMinutes(slide);
+        }
+
+        log.debug("滑动窗口下次执行时间: 步长={}{}，nextTime={}",
+                slide, slideUnit, nextTime.format(DATE_FORMATTER));
+
+        return nextTime;
+    }
+
+    /**
+     * 计算会话窗口的下次执行时间
+     *
+     * 策略：执行间隔 = 会话超时时间（session window size）
+     * 示例：超时时间30分钟，则每30分钟执行一次
+     */
+    private LocalDateTime calculateSessionNextExecuteTime(LocalDateTime now, AnalysisGroupByWindow groupByWindow) {
+        Integer sessionTimeout = groupByWindow.getSessionWindowSize();
+        String sessionTimeoutUnit = groupByWindow.getSessionWindowSizeUnit();
+
+        if (sessionTimeout == null || sessionTimeout <= 0) {
+            log.warn("会话窗口超时时间配置无效，使用默认值：30分钟");
+            sessionTimeout = 30;
+            sessionTimeoutUnit = "m";
+        }
+
+        if (sessionTimeoutUnit == null || sessionTimeoutUnit.trim().isEmpty()) {
+            sessionTimeoutUnit = "m";
+        }
+
+        LocalDateTime nextTime;
+        switch (sessionTimeoutUnit.toLowerCase()) {
+            case "s":
+                nextTime = now.plusSeconds(sessionTimeout);
+                break;
+            case "m":
+                nextTime = now.plusMinutes(sessionTimeout);
+                break;
+            case "h":
+                nextTime = now.plusHours(sessionTimeout);
+                break;
+            case "d":
+                nextTime = now.plusDays(sessionTimeout);
+                break;
+            default:
+                log.warn("会话窗口超时单位无效: {}，使用默认单位：分钟", sessionTimeoutUnit);
+                nextTime = now.plusMinutes(sessionTimeout);
+        }
+
+        log.debug("会话窗口下次执行时间: 超时时间={}{}，nextTime={}",
+                sessionTimeout, sessionTimeoutUnit, nextTime.format(DATE_FORMATTER));
+
+        return nextTime;
+    }
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/common/util/JsonbUtil.java

@@ -0,0 +1,161 @@
+package com.common.util;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+/**
+ * JSONB字段解析工具类
+ * 用于处理PostgreSQL JSONB类型字段的解析
+ */
+public class JsonbUtil {
+
+    private static final ObjectMapper objectMapper = new ObjectMapper();
+
+    /**
+     * 解析JSONB字段值为字符串
+     * 适用于JSONB存储的是带引号的字符串，如 "127.0.0.1"
+     *
+     * @param value JSONB字段的值
+     * @return 解析后的字符串
+     */
+    public static String parseString(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+        // 如果已经是字符串，直接返回
+        if (value instanceof String) {
+            String strValue = (String) value;
+            // 去除可能存在的引号
+            if (strValue.startsWith("\"") && strValue.endsWith("\"")) {
+                return strValue.substring(1, strValue.length() - 1);
+            }
+            return strValue;
+        }
+
+        // 其他类型转为字符串
+        return value.toString();
+    }
+
+    /**
+     * 解析JSONB字段值为Integer
+     *
+     * @param value JSONB字段的值
+     * @return 解析后的Integer
+     */
+    public static Integer parseInteger(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+        if (value instanceof Integer) {
+            return (Integer) value;
+        }
+
+        if (value instanceof Number) {
+            return ((Number) value).intValue();
+        }
+
+        if (value instanceof String) {
+            String strValue = parseString(value);
+            try {
+                return Integer.parseInt(strValue);
+            } catch (NumberFormatException e) {
+                return null;
+            }
+        }
+
+        return null;
+    }
+
+    /**
+     * 解析JSONB字段值为Long
+     *
+     * @param value JSONB字段的值
+     * @return 解析后的Long
+     */
+    public static Long parseLong(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+        if (value instanceof Long) {
+            return (Long) value;
+        }
+
+        if (value instanceof Number) {
+            return ((Number) value).longValue();
+        }
+
+        if (value instanceof String) {
+            String strValue = parseString(value);
+            try {
+                return Long.parseLong(strValue);
+            } catch (NumberFormatException e) {
+                return null;
+            }
+        }
+
+        return null;
+    }
+
+    /**
+     * 解析JSONB字段值为Boolean
+     *
+     * @param value JSONB字段的值
+     * @return 解析后的Boolean
+     */
+    public static Boolean parseBoolean(Object value) {
+        if (value == null) {
+            return null;
+        }
+
+        if (value instanceof Boolean) {
+            return (Boolean) value;
+        }
+
+        if (value instanceof String) {
+            String strValue = parseString(value);
+            return Boolean.parseBoolean(strValue);
+        }
+
+        return null;
+    }
+
+    /**
+     * 从JSONB Object中解析字符串值
+     * 适用于复杂的JSON对象结构
+     *
+     * @param jsonbValue JSONB字段的值（可能是Map或字符串）
+     * @param fieldName  JSON对象中的字段名
+     * @return 解析后的字符串
+     */
+    @SuppressWarnings("unchecked")
+    public static String parseStringFromJson(Object jsonbValue, String fieldName) {
+        if (jsonbValue == null) {
+            return null;
+        }
+
+        try {
+            if (jsonbValue instanceof java.util.Map) {
+                java.util.Map<String, Object> map = (java.util.Map<String, Object>) jsonbValue;
+                Object fieldValue = map.get(fieldName);
+                return parseString(fieldValue);
+            }
+
+            // 如果是JSON字符串，尝试解析
+            if (jsonbValue instanceof String) {
+                String strValue = (String) jsonbValue;
+                if (strValue.startsWith("{")) {
+                    java.util.Map<String, Object> map = objectMapper.readValue(strValue, java.util.Map.class);
+                    Object fieldValue = map.get(fieldName);
+                    return parseString(fieldValue);
+                }
+            }
+        } catch (Exception e) {
+            // 解析失败，返回null
+            return null;
+        }
+
+        return null;
+    }
+}

haobang-security-xdr/syslog-consumer/src/main/java/com/controllers/AnalysisRuleController.java

@@ -0,0 +1,136 @@
+package com.controllers;
+
+import com.common.entity.AnalysisAnalysisRule;
+import com.common.entity.AnalysisTaskHistory;
+import com.common.mapper.AnalysisTaskHistoryMapper;
+import com.common.service.AnalysisRuleService;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.web.bind.annotation.*;
+
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * 分析规则控制器
+ */
+@Slf4j
+@RestController
+@RequestMapping("/api/analysis")
+public class AnalysisRuleController {
+
+    @Autowired
+    private AnalysisRuleService analysisRuleService;
+
+    @Autowired
+    private AnalysisTaskHistoryMapper taskHistoryMapper;
+
+    /**
+     * 手动触发实时分析
+     */
+    @PostMapping("/realtime/execute")
+    public Map<String, Object> executeRealtimeAnalysis() {
+        Map<String, Object> result = new HashMap<>();
+        try {
+            List<Map<String, Object>> results = analysisRuleService.executeRealtimeAnalysis();
+            result.put("code", 200);
+            result.put("message", "实时分析执行成功");
+            result.put("data", results);
+        } catch (Exception e) {
+            log.error("执行实时分析失败", e);
+            result.put("code", 500);
+            result.put("message", "执行实时分析失败: " + e.getMessage());
+        }
+        return result;
+    }
+
+    /**
+     * 手动触发离线分析
+     */
+    @PostMapping("/offline/execute")
+    public Map<String, Object> executeOfflineAnalysis() {
+        Map<String, Object> result = new HashMap<>();
+        try {
+            List<Map<String, Object>> results = analysisRuleService.executeOfflineAnalysis();
+            result.put("code", 200);
+            result.put("message", "离线分析执行成功");
+            result.put("data", results);
+        } catch (Exception e) {
+            log.error("执行离线分析失败", e);
+            result.put("code", 500);
+            result.put("message", "执行离线分析失败: " + e.getMessage());
+        }
+        return result;
+    }
+
+    /**
+     * 查询活动规则
+     */
+    @GetMapping("/rules")
+    public Map<String, Object> getActiveRules(@RequestParam String runMode) {
+        Map<String, Object> result = new HashMap<>();
+        try {
+            List<AnalysisAnalysisRule> rules = analysisRuleService.getActiveRules(runMode);
+            result.put("code", 200);
+            result.put("message", "查询成功");
+            result.put("data", rules);
+        } catch (Exception e) {
+            log.error("查询活动规则失败", e);
+            result.put("code", 500);
+            result.put("message", "查询活动规则失败: " + e.getMessage());
+        }
+        return result;
+    }
+
+    /**
+     * 停止规则
+     */
+    @PostMapping("/rules/{ruleId}/stop")
+    public Map<String, Object> stopRule(@PathVariable String ruleId) {
+        Map<String, Object> result = new HashMap<>();
+        try {
+            analysisRuleService.stopRule(ruleId);
+            result.put("code", 200);
+            result.put("message", "规则已停止");
+        } catch (Exception e) {
+            log.error("停止规则失败", e);
+            result.put("code", 500);
+            result.put("message", "停止规则失败: " + e.getMessage());
+        }
+        return result;
+    }
+
+    /**
+     * 查询规则执行历史
+     */
+    @GetMapping("/rules/{ruleId}/history")
+    public Map<String, Object> getRuleHistory(
+            @PathVariable String ruleId,
+            @RequestParam(defaultValue = "10") int limit) {
+        Map<String, Object> result = new HashMap<>();
+        try {
+            List<AnalysisTaskHistory> historyList = taskHistoryMapper.selectRecentByRuleId(ruleId, limit);
+            result.put("code", 200);
+            result.put("message", "查询成功");
+            result.put("data", historyList);
+        } catch (Exception e) {
+            log.error("查询规则执行历史失败", e);
+            result.put("code", 500);
+            result.put("message", "查询规则执行历史失败: " + e.getMessage());
+        }
+        return result;
+    }
+
+    /**
+     * 健康检查
+     */
+    @GetMapping("/health")
+    public Map<String, Object> health() {
+        Map<String, Object> result = new HashMap<>();
+        result.put("code", 200);
+        result.put("message", "服务正常");
+        result.put("timestamp", System.currentTimeMillis());
+        return result;
+    }
+}

haobang-security-xdr/syslog-consumer/src/main/resources/application-dev.properties

@@ -25,9 +25,12 @@ influxdb.batch.size=1000
 influxdb.flush.interval=1000
 influxdb.retry.attempts=3
 influxdb.retry.delay=1000
-
+# InfluxDB 2.7 连接超时配置
+influxdb.connection.timeout=30s
+influxdb.connection.read-timeout=30s
+influxdb.connection.write-timeout=60s
 # Application Configuration
-app.worker.threads=4
+app.worker.threads=8
 app.max.queue.size=10000
 app.metrics.enabled=true
 
@@ -123,3 +126,24 @@ spring.elasticsearch.socket-timeout=30s
 etl.batch.page-size=1000
 etl.batch.insert-batch-size=500
 etl.schedule.cron=0 0 2 * * ?
+
+
+# ============================================
+# HikariCP Connection Pool Configuration
+# ============================================
+spring.datasource.hikari.maximum-pool-size=50
+spring.datasource.hikari.minimum-idle=5
+spring.datasource.hikari.connection-timeout=30000
+spring.datasource.hikari.idle-timeout=600000
+spring.datasource.hikari.max-lifetime=900000
+spring.datasource.hikari.connection-test-query=SELECT 1
+spring.datasource.hikari.validation-timeout=5000
+spring.datasource.hikari.leak-detection-threshold=30000          
+spring.datasource.hikari.pool-name=HikariPool-SyslogConsumer
+spring.datasource.hikari.auto-commit=false
+spring.datasource.hikari.schema=public
+
+# 关联分析规则配置
+analysis.realtime.enabled= true
+# 检查间隔（秒） - 默认10秒
+analysis.realtime.check-interval-seconds: 10

haobang-security-xdr/syslog-consumer/src/main/resources/application-prod-zc.properties

@@ -25,9 +25,12 @@ influxdb.batch.size=1000
 influxdb.flush.interval=1000
 influxdb.retry.attempts=3
 influxdb.retry.delay=1000
-
+# InfluxDB 2.7 连接超时配置
+influxdb.connection.timeout=30s
+influxdb.connection.read-timeout=30s
+influxdb.connection.write-timeout=60s
 # Application Configuration
-app.worker.threads=4
+app.worker.threads=8
 app.max.queue.size=10000
 app.metrics.enabled=true
 
@@ -122,3 +125,19 @@ spring.elasticsearch.socket-timeout=30s
 etl.batch.page-size=1000
 etl.batch.insert-batch-size=500
 etl.schedule.cron=0 0 2 * * ?
+
+
+# ============================================
+# HikariCP Connection Pool Configuration
+# ============================================
+spring.datasource.hikari.maximum-pool-size=50
+spring.datasource.hikari.minimum-idle=5
+spring.datasource.hikari.connection-timeout=30000
+spring.datasource.hikari.idle-timeout=600000
+spring.datasource.hikari.max-lifetime=900000
+spring.datasource.hikari.connection-test-query=SELECT 1
+spring.datasource.hikari.validation-timeout=5000
+spring.datasource.hikari.leak-detection-threshold=30000          
+spring.datasource.hikari.pool-name=HikariPool-SyslogConsumer
+spring.datasource.hikari.auto-commit=false
+spring.datasource.hikari.schema=public

haobang-security-xdr/syslog-consumer/src/main/resources/application-prod.properties

@@ -25,9 +25,12 @@ influxdb.batch.size=1000
 influxdb.flush.interval=1000
 influxdb.retry.attempts=3
 influxdb.retry.delay=1000
-
+# InfluxDB 2.7 连接超时配置
+influxdb.connection.timeout=30s
+influxdb.connection.read-timeout=30s
+influxdb.connection.write-timeout=60s
 # Application Configuration
-app.worker.threads=4
+app.worker.threads=8
 app.max.queue.size=10000
 app.metrics.enabled=true
 
@@ -123,4 +126,26 @@ spring.elasticsearch.socket-timeout=30s
 # ETL配置
 etl.batch.page-size=1000
 etl.batch.insert-batch-size=500
-etl.schedule.cron=0 0 2 * * ?
+etl.schedule.cron=0 0 2 * * ?
+
+
+# ============================================
+# HikariCP Connection Pool Configuration
+# ============================================
+spring.datasource.hikari.maximum-pool-size=50
+spring.datasource.hikari.minimum-idle=5
+spring.datasource.hikari.connection-timeout=30000
+spring.datasource.hikari.idle-timeout=600000
+spring.datasource.hikari.max-lifetime=900000
+spring.datasource.hikari.connection-test-query=SELECT 1
+spring.datasource.hikari.validation-timeout=5000
+spring.datasource.hikari.leak-detection-threshold=30000          
+spring.datasource.hikari.pool-name=HikariPool-SyslogConsumer
+spring.datasource.hikari.auto-commit=false
+spring.datasource.hikari.schema=public
+
+
+# 关联分析规则配置
+analysis.realtime.enabled= true
+# 检查间隔（秒） - 默认10秒
+analysis.realtime.check-interval-seconds: 10

haobang-security-xdr/syslog-consumer/src/main/resources/application-test.properties

@@ -27,7 +27,7 @@ influxdb.retry.attempts=3
 influxdb.retry.delay=1000
 
 # Application Configuration
-app.worker.threads=4
+app.worker.threads=8
 app.max.queue.size=10000
 app.metrics.enabled=true
 

haobang-security-xdr/syslog-consumer/src/main/resources/application.properties

@@ -7,7 +7,7 @@ server.error.include-message=always
 server.error.include-binding-errors=always
 
 #run.environment:  dev|test|pro
-server.run.environment=dev
+server.run.environment=pro
 
 
 # Syslog Server Configuration
@@ -17,31 +17,33 @@ syslog.max.frame.length=65536
 syslog.buffer.size=1000
 
 # InfluxDB 2.7 Configuration
-influxdb.url=http://192.168.222.131:8086
-influxdb.token=3Tvu-IZWtaY03UDkbUDlufD0kxn85keo9LhYQcv2Cxk0LJmXqqHkNVrO664DbaJAYwoGI7UIg904KqZC7Q_ZFA==
-influxdb.org=yelang
+influxdb.url=http://192.168.4.26:8087
+influxdb.token=LFjXZyRxTf1V84oN-wwjhSjS4qIK-ZMoHzQJB67ir3qHNSBVJbMcTkPuNmM0cNxvzFEDWLYNzrz1VJKMitY5hw==
+influxdb.org=influxdb
 influxdb.bucket=yelangbucket
 influxdb.batch.size=1000
 influxdb.flush.interval=1000
 influxdb.retry.attempts=3
 influxdb.retry.delay=1000
-
+# InfluxDB 2.7 连接超时配置
+influxdb.connection.timeout=30s
+influxdb.connection.read-timeout=30s
+influxdb.connection.write-timeout=60s
 # Application Configuration
-app.worker.threads=4
+app.worker.threads=8
 app.max.queue.size=10000
 app.metrics.enabled=true
 
 
 #database Configuration
-spring.datasource.url=jdbc:postgresql://117.72.68.72:54329/ecosys
+spring.datasource.url=jdbc:postgresql://192.168.4.26:5432/ecosys
 spring.datasource.username=postgres
-spring.datasource.password=TnLanWaidYSwTSG5
+spring.datasource.password=caZ2TcmXNSW8L2Ap
 spring.datasource.driver-class-name=org.postgresql.Driver
 
 # mybatis Configuration
 mybatis.mapper-locations=classpath:mapper/*.xml
 mybatis.type-aliases-package=com.common.entity
-
 #mybatis handler 类
 mybatis.configuration.default-statement-timeout=30
 mybatis.configuration.default-fetch-size=1000
@@ -49,20 +51,20 @@ mybatis.configuration.map-underscore-to-camel-case=true
 mybatis.type-handlers-package=com.Modules.etl.handler
 mybatis-plus.configuration.map-underscore-to-camel-case=true
 mybatis-plus.type-handlers-package=com.Modules.etl.handler
+
 # kafka Configuration
-spring.kafka.consumer.bootstrap-servers=192.168.222.130:9092
-spring.kafka.consumer.group-id=test-group-app
+spring.kafka.consumer.bootstrap-servers=192.168.4.26:9092
+spring.kafka.consumer.group-id=agent-syslog-group
 spring.kafka.consumer.auto-offset-reset=latest
 spring.kafka.consumer.enable-auto-commit=false 
 spring.kafka.consumer.auto-commit-interval=1000
-spring.kafka.consumer.topic=test-topic
+spring.kafka.consumer.topic=agent-syslog-topic
+
 
 spring.kafka.consumer.max-poll-records=1000
 spring.kafka.consumer.properties.max.poll.interval.ms=300000
 spring.kafka.consumer.properties.session.timeout.ms=45000
 
-#spring.kafka.consumer.key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
-#spring.kafka.consumer.value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
 spring.kafka.consumer.fetch-min-size= 1048576
 spring.kafka.listener.ack-mode= manual
 spring.kafka.listener.concurrency= 2  
@@ -81,21 +83,23 @@ partition.check.tomorrow.enabled=true
 partition.check.future.days=7
 partition.auto.create=true
 
-# 开发环境缓存配置
-spring.redis.host=localhost
+
+# 生产环境缓存配置
+spring.redis.host=192.168.4.26
 spring.redis.port=6379
 # 密码（如果没有设置密码，可以省略）
-spring.redis.password=
+spring.redis.password=123456
 spring.redis.database=0
-spring.redis.timeout=2000
+spring.redis.timeout=5000
+#spring.redis.password=${REDIS_PASSWORD:default_prod_password}
 
-spring.redis.lettuce.pool.max-active=8
-spring.redis.lettuce.pool.max-wait=-1
-spring.redis.lettuce.pool.max-idle=8
-spring.redis.lettuce.pool.min-idle=0
-# 开发环境缓存时间较短，方便调试
-spring.cache.redis.time-to-live=600000
+spring.redis.lettuce.pool.max-active=20
+spring.redis.lettuce.pool.max-wait=5000
+spring.redis.lettuce.pool.max-idle=10
+spring.redis.lettuce.pool.min-idle=5
 
+# 生产环境缓存时间较长
+spring.cache.redis.time-to-live=3600000
 
 # 应用处理器配置
 app.processor.thread-pool.core-pool-size=10
@@ -123,3 +127,25 @@ spring.elasticsearch.socket-timeout=30s
 etl.batch.page-size=1000
 etl.batch.insert-batch-size=500
 etl.schedule.cron=0 0 2 * * ?
+
+
+# ============================================
+# HikariCP Connection Pool Configuration
+# ============================================
+spring.datasource.hikari.maximum-pool-size=50
+spring.datasource.hikari.minimum-idle=5
+spring.datasource.hikari.connection-timeout=30000
+spring.datasource.hikari.idle-timeout=600000
+spring.datasource.hikari.max-lifetime=900000
+spring.datasource.hikari.connection-test-query=SELECT 1
+spring.datasource.hikari.validation-timeout=5000
+spring.datasource.hikari.leak-detection-threshold=30000          
+spring.datasource.hikari.pool-name=HikariPool-SyslogConsumer
+spring.datasource.hikari.auto-commit=false
+spring.datasource.hikari.schema=public
+
+
+# 关联分析规则配置
+analysis.realtime.enabled= true
+# 检查间隔（秒） - 默认10秒
+analysis.realtime.check-interval-seconds: 10

haobang-security-xdr/syslog-consumer/src/main/resources/mapper/AnalysisAnalysisRuleMapper.xml

@@ -0,0 +1,81 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.common.mapper.AnalysisAnalysisRuleMapper">
+
+    <resultMap id="BaseResultMap" type="com.common.entity.AnalysisAnalysisRule">
+        <id column="rule_id" property="ruleId" jdbcType="VARCHAR"/>
+        <result column="create_user" property="createUser" jdbcType="VARCHAR"/>
+        <result column="rule_name" property="ruleName" jdbcType="VARCHAR"/>
+        <result column="analysis_method" property="analysisMethod" jdbcType="VARCHAR"/>
+        <result column="run_mode" property="runMode" jdbcType="VARCHAR"/>
+        <result column="rule_output" property="ruleOutput" jdbcType="VARCHAR"/>
+        <result column="organization" property="organization" jdbcType="VARCHAR"/>
+        <result column="task_status" property="taskStatus" jdbcType="VARCHAR"/>
+        <result column="create_dept" property="createDept" jdbcType="BIGINT"/>
+        <result column="del_flag" property="delFlag" jdbcType="CHAR"/>
+        <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/>
+        <result column="update_time" property="updateTime" jdbcType="TIMESTAMP"/>
+        <result column="create_by" property="createBy" jdbcType="BIGINT"/>
+        <result column="update_by" property="updateBy" jdbcType="BIGINT"/>
+        <result column="remark" property="remark" jdbcType="VARCHAR"/>
+        <result column="tenant_id" property="tenantId" jdbcType="VARCHAR"/>
+        <result column="rule_desc" property="ruleDesc" jdbcType="VARCHAR"/>
+        <result column="rule_type" property="ruleType" jdbcType="INTEGER"/>
+        <result column="rule_status" property="ruleStatus" jdbcType="INTEGER"/>
+        <result column="rule_content" property="ruleContent" jdbcType="VARCHAR"/>
+        <result column="rule_expression" property="ruleExpression" jdbcType="VARCHAR"/>
+        <result column="priority" property="priority" jdbcType="BIGINT"/>
+        <result column="tags" property="tags" jdbcType="VARCHAR"/>
+        <result column="version" property="version" jdbcType="INTEGER"/>
+        <result column="subset_id" property="subsetId" jdbcType="INTEGER"/>
+    </resultMap>
+
+    <sql id="Base_Column_List">
+        rule_id, create_user, rule_name, analysis_method, run_mode, rule_output,
+        organization, task_status, create_dept, del_flag, create_time, update_time,
+        create_by, update_by, remark, tenant_id, rule_desc, rule_type, rule_status,
+        rule_content, rule_expression, priority, tags, version, subset_id
+    </sql>
+
+    <!-- 查询指定运行模式的活动规则 -->
+    <select id="selectActiveRulesByRunMode" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_analysis_rule
+        WHERE run_mode = #{runMode}
+        AND del_flag = '0'
+        AND task_status IN ('stopped', 'waiting', 'STOPPED')
+        AND  rule_status =1
+        ORDER BY priority DESC, create_time ASC
+    </select>
+
+    <!-- 根据规则ID查询规则 -->
+    <select id="selectByRuleId" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_analysis_rule
+        WHERE rule_id =#{ruleId, jdbcType=OTHER}::uuid
+        AND del_flag = '0'
+    </select>
+
+    <!-- 根据ID查询规则（与selectByRuleId相同） -->
+    <select id="selectById" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_analysis_rule
+        WHERE rule_id = #{ruleId, jdbcType=OTHER}::uuid
+        AND del_flag = '0'
+    </select>
+
+    <!-- 更新规则任务状态 -->
+    <update id="updateTaskStatus">
+        UPDATE analysis_analysis_rule
+        SET task_status = #{taskStatus},
+            update_time = NOW()
+        <if test="updateBy != null">
+            ,update_by = #{updateBy}
+        </if>
+        WHERE rule_id = #{ruleId, jdbcType=OTHER}::uuid
+    </update>
+
+</mapper>

haobang-security-xdr/syslog-consumer/src/main/resources/mapper/AnalysisFieldMapper.xml

@@ -0,0 +1,72 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.common.mapper.AnalysisFieldMapper">
+
+    <resultMap id="BaseResultMap" type="com.common.entity.AnalysisField">
+        <id column="id" property="id" jdbcType="INTEGER"/>
+        <result column="rule_id" property="ruleId" jdbcType="VARCHAR"/>
+        <result column="type" property="type" jdbcType="VARCHAR"/>
+        <result column="data_source" property="dataSource" jdbcType="VARCHAR"/>
+        <result column="database" property="database" jdbcType="VARCHAR"/>
+        <result column="table_name" property="tableName" jdbcType="VARCHAR"/>
+        <result column="table_alias" property="tableAlias" jdbcType="VARCHAR"/>
+        <result column="column_name" property="columnName" jdbcType="VARCHAR"/>
+        <result column="column_desc" property="columnDesc" jdbcType="VARCHAR"/>
+        <result column="data_type" property="dataType" jdbcType="VARCHAR"/>
+        <result column="fn" property="fn" jdbcType="VARCHAR"/>
+        <result column="arguments" property="arguments" jdbcType="VARCHAR"/>
+        <result column="placeholder" property="placeholder" jdbcType="VARCHAR"/>
+        <result column="base_type" property="baseType" jdbcType="INTEGER"/>
+        <result column="category_id" property="categoryId" jdbcType="INTEGER"/>
+        <result column="create_dept" property="createDept" jdbcType="BIGINT"/>
+        <result column="del_flag" property="delFlag" jdbcType="CHAR"/>
+        <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/>
+        <result column="update_time" property="updateTime" jdbcType="TIMESTAMP"/>
+        <result column="create_by" property="createBy" jdbcType="BIGINT"/>
+        <result column="update_by" property="updateBy" jdbcType="BIGINT"/>
+        <result column="remark" property="remark" jdbcType="VARCHAR"/>
+        <result column="tenant_id" property="tenantId" jdbcType="VARCHAR"/>
+        <result column="alarm_column_name" property="alarmColumnName" jdbcType="VARCHAR"/>
+        <result column="alarm_column_desc" property="alarmColumnDesc" jdbcType="VARCHAR"/>
+    </resultMap>
+
+    <sql id="Base_Column_List">
+        id, rule_id, type, data_source, database, table_name, table_alias,
+        column_name, column_desc, data_type, fn, arguments, placeholder,
+        base_type, category_id, create_dept, del_flag, create_time,
+        update_time, create_by, update_by, remark, tenant_id,alarm_column_name,alarm_column_desc
+    </sql>
+
+    <!-- 根据规则ID查询字段配置 -->
+    <select id="selectByRuleId" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_field
+        WHERE rule_id = #{ruleId, jdbcType=OTHER}::uuid
+        AND del_flag = '0'
+        ORDER BY id ASC
+    </select>
+
+    <!-- 查询规则中用于SELECT的字段（通过type字段区分） -->
+    <select id="selectSelectFieldsByRuleId" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_field
+        WHERE rule_id =#{ruleId, jdbcType=OTHER}::uuid
+        AND del_flag = '0'
+        AND type IN ('measure', 'calc')
+        ORDER BY id ASC
+    </select>
+
+    <!-- 查询规则中用于GROUP BY的字段（通过type字段区分） -->
+    <select id="selectGroupByFieldsByRuleId" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_field
+        WHERE rule_id = #{ruleId, jdbcType=OTHER}::uuid
+        AND del_flag = '0'
+        AND type = 'dimension'
+        ORDER BY id ASC
+    </select>
+
+</mapper>

haobang-security-xdr/syslog-consumer/src/main/resources/mapper/AnalysisFilterMapper.xml

@@ -0,0 +1,68 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.common.mapper.AnalysisFilterMapper">
+
+    <resultMap id="BaseResultMap" type="com.common.entity.AnalysisFilter">
+        <id column="id" property="id" jdbcType="INTEGER"/>
+        <result column="rule_id" property="ruleId" jdbcType="VARCHAR"/>
+        <result column="data_source" property="dataSource" jdbcType="VARCHAR"/>
+        <result column="database" property="database" jdbcType="VARCHAR"/>
+        <result column="table_name" property="tableName" jdbcType="VARCHAR"/>
+        <result column="table_alias" property="tableAlias" jdbcType="VARCHAR"/>
+        <result column="column_name" property="columnName" jdbcType="VARCHAR"/>
+        <result column="column_desc" property="columnDesc" jdbcType="VARCHAR"/>
+        <result column="data_type" property="dataType" jdbcType="VARCHAR"/>
+        <result column="fn" property="fn" jdbcType="VARCHAR"/>
+        <result column="arguments" property="arguments" jdbcType="OTHER"/>
+        <result column="operator" property="operator" jdbcType="VARCHAR"/>
+        <result column="value" property="value" jdbcType="OTHER"/>
+        <result column="base_type" property="baseType" jdbcType="INTEGER"/>
+        <result column="category_id" property="categoryId" jdbcType="INTEGER"/>
+        <result column="create_dept" property="createDept" jdbcType="BIGINT"/>
+        <result column="del_flag" property="delFlag" jdbcType="CHAR"/>
+        <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/>
+        <result column="update_time" property="updateTime" jdbcType="TIMESTAMP"/>
+        <result column="create_by" property="createBy" jdbcType="BIGINT"/>
+        <result column="update_by" property="updateBy" jdbcType="BIGINT"/>
+        <result column="remark" property="remark" jdbcType="VARCHAR"/>
+        <result column="tenant_id" property="tenantId" jdbcType="VARCHAR"/>
+        <result column="cond_id" property="condId" jdbcType="INTEGER"/>
+        <result column="seq_num" property="seqNum" jdbcType="INTEGER"/>
+    </resultMap>
+
+    <sql id="Base_Column_List">
+        id, rule_id, data_source, database, table_name, table_alias,
+        column_name, column_desc, data_type, fn, arguments, operator, value,
+        base_type, category_id, create_dept, del_flag, create_time,
+        update_time, create_by, update_by, remark, tenant_id, cond_id, seq_num
+    </sql>
+
+    <!-- 根据规则ID查询过滤条件 -->
+    <select id="selectByRuleId" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_filter
+        WHERE rule_id  =#{ruleId, jdbcType=OTHER}::uuid
+        AND del_flag = '0'
+    </select>
+
+    <!-- 根据字段ID查询过滤条件 -->
+    <select id="selectByFieldId" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_filter
+        WHERE field_id = #{fieldId}
+        AND del_flag = '0'
+    </select>
+
+    <!-- 根据条件ID查询过滤条件（与where_condition表关联） -->
+    <select id="selectByCondId" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_filter
+        WHERE cond_id = #{condId}
+        AND del_flag = '0'
+        ORDER BY seq_num ASC
+    </select>
+
+</mapper>

haobang-security-xdr/syslog-consumer/src/main/resources/mapper/AnalysisGroupByColumnMapper.xml

@@ -0,0 +1,80 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.common.mapper.AnalysisGroupByColumnMapper">
+
+    <resultMap id="BaseResultMap" type="com.common.entity.AnalysisGroupByColumn">
+        <id column="id" property="id" jdbcType="INTEGER"/>
+        <result column="group_by_id" property="groupById" jdbcType="INTEGER"/>
+        <result column="data_source" property="dataSource" jdbcType="VARCHAR"/>
+        <result column="database" property="database" jdbcType="VARCHAR"/>
+        <result column="table_name" property="tableName" jdbcType="VARCHAR"/>
+        <result column="table_alias" property="tableAlias" jdbcType="VARCHAR"/>
+        <result column="column_name" property="columnName" jdbcType="VARCHAR"/>
+        <result column="column_desc" property="columnDesc" jdbcType="VARCHAR"/>
+        <result column="data_type" property="dataType" jdbcType="VARCHAR"/>
+        <result column="base_type" property="baseType" jdbcType="INTEGER"/>
+        <result column="category_id" property="categoryId" jdbcType="INTEGER"/>
+        <result column="create_dept" property="createDept" jdbcType="BIGINT"/>
+        <result column="del_flag" property="delFlag" jdbcType="CHAR"/>
+        <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/>
+        <result column="update_time" property="updateTime" jdbcType="TIMESTAMP"/>
+        <result column="create_by" property="createBy" jdbcType="BIGINT"/>
+        <result column="update_by" property="updateBy" jdbcType="BIGINT"/>
+        <result column="remark" property="remark" jdbcType="VARCHAR"/>
+        <result column="tenant_id" property="tenantId" jdbcType="VARCHAR"/>
+        <result column="rule_id" property="ruleId" jdbcType="VARCHAR"/>
+        <result column="group_id" property="groupId" jdbcType="BIGINT"/>
+        <result column="field_id" property="fieldId" jdbcType="BIGINT"/>
+        <result column="sort" property="sort" jdbcType="INTEGER"/>
+    </resultMap>
+
+    <sql id="Base_Column_List">
+        id, group_by_id, data_source, database, table_name, table_alias,
+        column_name, column_desc, data_type, base_type, category_id,
+        create_dept, del_flag, create_time, update_time, create_by, update_by,
+        remark, tenant_id, rule_id, group_id, field_id, sort
+    </sql>
+
+    <!-- 根据规则ID查询分组字段配置 -->
+    <select id="selectByRuleId" resultMap="BaseResultMap">
+        SELECT
+        id, group_by_id, data_source, database, table_name,
+        table_alias, column_name, column_desc, data_type,
+        base_type, category_id, create_dept, del_flag,
+        create_time, update_time, create_by, update_by, remark,
+        tenant_id, rule_id, group_id, field_id, sort
+        FROM analysis_group_by_column
+        WHERE rule_id =#{ruleId, jdbcType=OTHER}::uuid
+        AND del_flag = '0'
+        ORDER BY sort ASC
+    </select>
+
+    <!-- 根据分组ID查询分组字段配置 -->
+    <select id="selectByGroupById" resultMap="BaseResultMap">
+        SELECT
+        id, group_by_id, data_source, database, table_name,
+        table_alias, column_name, column_desc, data_type,
+        base_type, category_id, create_dept, del_flag,
+        create_time, update_time, create_by, update_by, remark,
+        tenant_id, rule_id, group_id, field_id, sort
+        FROM analysis_group_by_column
+        WHERE group_by_id = #{groupById}
+        AND del_flag = '0'
+        ORDER BY sort ASC
+    </select>
+
+    <!-- 根据用户组ID查询分组字段配置 -->
+    <select id="selectByGroupId" resultMap="BaseResultMap">
+        SELECT
+        id, group_by_id, data_source, database, table_name,
+        table_alias, column_name, column_desc, data_type,
+        base_type, category_id, create_dept, del_flag,
+        create_time, update_time, create_by, update_by, remark,
+        tenant_id, rule_id, group_id, field_id, sort
+        FROM analysis_group_by_column
+        WHERE group_id = #{groupId}
+        AND del_flag = '0'
+        ORDER BY sort ASC
+    </select>
+
+</mapper>

haobang-security-xdr/syslog-consumer/src/main/resources/mapper/AnalysisGroupByHavingMapper.xml

@@ -0,0 +1,62 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.common.mapper.AnalysisGroupByHavingMapper">
+
+    <resultMap id="BaseResultMap" type="com.common.entity.AnalysisGroupByHaving">
+        <id column="id" property="id" jdbcType="INTEGER"/>
+        <result column="group_by_id" property="groupById" jdbcType="INTEGER"/>
+        <result column="data_source" property="dataSource" jdbcType="VARCHAR"/>
+        <result column="database" property="database" jdbcType="VARCHAR"/>
+        <result column="table_name" property="tableName" jdbcType="VARCHAR"/>
+        <result column="table_alias" property="tableAlias" jdbcType="VARCHAR"/>
+        <result column="column_name" property="columnName" jdbcType="VARCHAR"/>
+        <result column="column_desc" property="columnDesc" jdbcType="VARCHAR"/>
+        <result column="data_type" property="dataType" jdbcType="VARCHAR"/>
+        <result column="fn" property="fn" jdbcType="VARCHAR"/>
+        <result column="arguments" property="arguments" jdbcType="OTHER"/>
+        <result column="operator" property="operator" jdbcType="VARCHAR"/>
+        <result column="value" property="value" jdbcType="OTHER"/>
+        <result column="base_type" property="baseType" jdbcType="INTEGER"/>
+        <result column="category_id" property="categoryId" jdbcType="INTEGER"/>
+        <result column="create_dept" property="createDept" jdbcType="BIGINT"/>
+        <result column="del_flag" property="delFlag" jdbcType="CHAR"/>
+        <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/>
+        <result column="update_time" property="updateTime" jdbcType="TIMESTAMP"/>
+        <result column="create_by" property="createBy" jdbcType="BIGINT"/>
+        <result column="update_by" property="updateBy" jdbcType="BIGINT"/>
+        <result column="remark" property="remark" jdbcType="VARCHAR"/>
+        <result column="tenant_id" property="tenantId" jdbcType="VARCHAR"/>
+    </resultMap>
+
+    <sql id="Base_Column_List">
+        id, group_by_id, data_source, database, table_name, table_alias,
+        column_name, column_desc, data_type, fn, arguments, operator, value,
+        base_type, category_id, create_dept, del_flag, create_time,
+        update_time, create_by, update_by, remark, tenant_id
+    </sql>
+
+    <!-- 根据分组ID查询HAVING条件 -->
+    <select id="selectByGroupById" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_group_by_having
+        WHERE group_by_id = #{groupById}
+        AND del_flag = '0'
+    </select>
+
+    <!-- 根据规则ID查询HAVING条件（通过关联分组表） -->
+    <select id="selectByRuleId" resultMap="BaseResultMap">
+        SELECT
+        h.id, h.group_by_id, h.data_source, h.database, h.table_name, h.table_alias,
+        h.column_name, h.column_desc, h.data_type, h.fn, h.arguments, h.operator, h.value,
+        h.base_type, h.category_id, h.create_dept, h.del_flag, h.create_time,
+        h.update_time, h.create_by, h.update_by, h.remark, h.tenant_id
+        FROM analysis_group_by_having h
+        INNER JOIN analysis_group_by g ON h.group_by_id = g.id
+        WHERE g.rule_id =#{ruleId, jdbcType=OTHER}::uuid
+        AND h.del_flag = '0'
+        AND g.del_flag = '0'
+        ORDER BY h.id ASC
+    </select>
+
+</mapper>

haobang-security-xdr/syslog-consumer/src/main/resources/mapper/AnalysisGroupByMapper.xml

@@ -0,0 +1,40 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.common.mapper.AnalysisGroupByMapper">
+
+    <resultMap id="BaseResultMap" type="com.common.entity.AnalysisGroupBy">
+        <id column="id" property="id" jdbcType="BIGINT"/>
+        <result column="rule_id" property="ruleId" jdbcType="OTHER"/>
+        <result column="group_type" property="groupType" jdbcType="INTEGER"/>
+        <result column="window_type" property="windowType" jdbcType="VARCHAR"/>
+        <result column="create_dept" property="createDept" jdbcType="BIGINT"/>
+        <result column="del_flag" property="delFlag" jdbcType="CHAR"/>
+        <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/>
+        <result column="update_time" property="updateTime" jdbcType="TIMESTAMP"/>
+        <result column="create_by" property="createBy" jdbcType="BIGINT"/>
+        <result column="update_by" property="updateBy" jdbcType="BIGINT"/>
+        <result column="remark" property="remark" jdbcType="VARCHAR"/>
+        <result column="tenant_id" property="tenantId" jdbcType="VARCHAR"/>
+    </resultMap>
+
+    <resultMap id="WithWindowResultMap" type="com.common.entity.AnalysisGroupBy" extends="BaseResultMap">
+        <association property="window" javaType="com.common.entity.AnalysisGroupByWindow"
+                     column="id" select="com.common.mapper.AnalysisGroupByWindowMapper.selectByGroupById"/>
+    </resultMap>
+
+    <sql id="Base_Column_List">
+        id, rule_id, group_type, window_type,
+        create_dept, del_flag, create_time, update_time, create_by, update_by,
+        remark, tenant_id
+    </sql>
+
+    <!-- 根据规则ID查询分组配置 -->
+    <select id="selectByRuleId" resultMap="BaseResultMap">
+        SELECT
+            <include refid="Base_Column_List"/>
+        FROM analysis_group_by
+        WHERE rule_id = #{ruleId, jdbcType=OTHER}::uuid
+          AND del_flag = '0'
+    </select>
+
+</mapper>

haobang-security-xdr/syslog-consumer/src/main/resources/mapper/AnalysisGroupByWindowMapper.xml

@@ -0,0 +1,51 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
+        "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.common.mapper.AnalysisGroupByWindowMapper">
+
+    <resultMap id="BaseResultMap" type="com.common.entity.AnalysisGroupByWindow">
+        <id column="id" property="id" jdbcType="INTEGER"/>
+        <result column="group_by_id" property="groupById" jdbcType="INTEGER"/>
+        <result column="window_type" property="windowType" jdbcType="VARCHAR"/>
+        <result column="tumble_window_time_type" property="tumbleWindowTimeType" jdbcType="VARCHAR"/>
+        <result column="tumble_window_size" property="tumbleWindowSize" jdbcType="INTEGER"/>
+        <result column="tumble_window_size_unit" property="tumbleWindowSizeUnit" jdbcType="VARCHAR"/>
+        <result column="hop_window_time_type" property="hopWindowTimeType" jdbcType="VARCHAR"/>
+        <result column="hop_window_size" property="hopWindowSize" jdbcType="INTEGER"/>
+        <result column="hop_window_size_unit" property="hopWindowSizeUnit" jdbcType="VARCHAR"/>
+        <result column="hop_window_slide" property="hopWindowSlide" jdbcType="INTEGER"/>
+        <result column="hop_window_slide_unit" property="hopWindowSlideUnit" jdbcType="VARCHAR"/>
+        <result column="hop_window_alarm_once_per_window" property="hopWindowAlarmOncePerWindow" jdbcType="BOOLEAN"/>
+        <result column="session_window_time_type" property="sessionWindowTimeType" jdbcType="VARCHAR"/>
+        <result column="session_window_size" property="sessionWindowSize" jdbcType="INTEGER"/>
+        <result column="session_window_size_unit" property="sessionWindowSizeUnit" jdbcType="VARCHAR"/>
+        <result column="create_dept" property="createDept" jdbcType="BIGINT"/>
+        <result column="del_flag" property="delFlag" jdbcType="CHAR"/>
+        <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/>
+        <result column="update_time" property="updateTime" jdbcType="TIMESTAMP"/>
+        <result column="create_by" property="createBy" jdbcType="BIGINT"/>
+        <result column="update_by" property="updateBy" jdbcType="BIGINT"/>
+        <result column="remark" property="remark" jdbcType="VARCHAR"/>
+        <result column="tenant_id" property="tenantId" jdbcType="VARCHAR"/>
+    </resultMap>
+
+    <sql id="Base_Column_List">
+        id, group_by_id, window_type,
+        tumble_window_time_type, tumble_window_size, tumble_window_size_unit,
+        hop_window_time_type, hop_window_size, hop_window_size_unit,
+        hop_window_slide, hop_window_slide_unit, hop_window_alarm_once_per_window,
+        session_window_time_type, session_window_size, session_window_size_unit,
+        create_dept, del_flag, create_time, update_time, create_by, update_by,
+        remark, tenant_id
+    </sql>
+
+    <select id="selectByGroupById" resultMap="BaseResultMap">
+        SELECT
+            <include refid="Base_Column_List"/>
+        FROM analysis_group_by_window
+        WHERE group_by_id = #{groupById, jdbcType=INTEGER}
+          AND del_flag = '0'
+        LIMIT 1
+    </select>
+
+</mapper>

haobang-security-xdr/syslog-consumer/src/main/resources/mapper/AnalysisTaskHistoryMapper.xml

@@ -0,0 +1,83 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.common.mapper.AnalysisTaskHistoryMapper">
+
+    <resultMap id="BaseResultMap" type="com.common.entity.AnalysisTaskHistory">
+        <id column="id" property="id" jdbcType="BIGINT"/>
+        <result column="rule_id" property="ruleId" jdbcType="VARCHAR"/>
+        <result column="start_time" property="startTime" jdbcType="TIMESTAMP"/>
+        <result column="end_time" property="endTime" jdbcType="TIMESTAMP"/>
+        <result column="duration_time" property="durationTime" jdbcType="BIGINT"/>
+        <result column="progress_percent" property="progressPercent" jdbcType="INTEGER"/>
+        <result column="input_count" property="inputCount" jdbcType="BIGINT"/>
+        <result column="output_count" property="outputCount" jdbcType="BIGINT"/>
+        <result column="status" property="status" jdbcType="VARCHAR"/>
+        <result column="create_dept" property="createDept" jdbcType="BIGINT"/>
+        <result column="del_flag" property="delFlag" jdbcType="CHAR"/>
+        <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/>
+        <result column="update_time" property="updateTime" jdbcType="TIMESTAMP"/>
+        <result column="create_by" property="createBy" jdbcType="BIGINT"/>
+        <result column="update_by" property="updateBy" jdbcType="BIGINT"/>
+        <result column="remark" property="remark" jdbcType="VARCHAR"/>
+        <result column="tenant_id" property="tenantId" jdbcType="VARCHAR"/>
+    </resultMap>
+
+    <sql id="Base_Column_List">
+        id, rule_id, start_time, end_time, duration_time, progress_percent,
+        input_count, output_count, status, create_dept, del_flag,
+        create_time, update_time, create_by, update_by, remark, tenant_id
+    </sql>
+
+    <!-- 插入任务历史记录 -->
+    <insert id="insert" parameterType="com.common.entity.AnalysisTaskHistory">
+        INSERT INTO analysis_task_history (
+        <include refid="Base_Column_List"/>
+        ) VALUES (
+        #{id}, #{ruleId}::uuid, #{startTime}, #{endTime}, #{durationTime}, #{progressPercent},
+        #{inputCount}, #{outputCount}, #{status}, #{createDept}, #{delFlag},
+        #{createTime}, #{updateTime}, #{createBy}, #{updateBy}, #{remark}, #{tenantId}
+        )
+    </insert>
+
+    <!-- 更新任务历史记录 -->
+    <update id="update" parameterType="com.common.entity.AnalysisTaskHistory">
+        UPDATE analysis_task_history
+        SET end_time = #{endTime},
+        duration_time = #{durationTime},
+        progress_percent = #{progressPercent},
+        input_count = #{inputCount},
+        output_count = #{outputCount},
+        status = #{status},
+        update_time = NOW()
+        <if test="remark != null">
+            ,remark = #{remark}
+        </if>
+        WHERE id = #{id}
+    </update>
+
+    <!-- 根据规则ID查询最近的任务历史 -->
+    <select id="selectRecentByRuleId" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_task_history
+        WHERE rule_id =#{ruleId, jdbcType=OTHER}::uuid
+        AND del_flag = '0'
+        ORDER BY create_time DESC
+        <if test="limit != null and limit > 0">
+            LIMIT #{limit}
+        </if>
+    </select>
+
+    <!-- 根据规则ID和状态查询任务历史 -->
+    <select id="selectByRuleIdAndStatus" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_task_history
+        WHERE rule_id =#{ruleId, jdbcType=OTHER}::uuid
+        AND status = #{status}
+        AND del_flag = '0'
+        ORDER BY create_time DESC
+        LIMIT 1
+    </select>
+
+</mapper>

haobang-security-xdr/syslog-consumer/src/main/resources/mapper/AnalysisWhereConditionMapper.xml

@@ -0,0 +1,58 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.common.mapper.AnalysisWhereConditionMapper">
+
+    <resultMap id="BaseResultMap" type="com.common.entity.AnalysisWhereCondition">
+        <id column="cond_id" property="condId" jdbcType="INTEGER"/>
+        <result column="rule_id" property="ruleId" jdbcType="VARCHAR"/>
+        <result column="logical_op" property="logicalOp" jdbcType="VARCHAR"/>
+        <result column="seq_num" property="seqNum" jdbcType="INTEGER"/>
+        <result column="parent_cond_id" property="parentCondId" jdbcType="INTEGER"/>
+        <result column="create_dept" property="createDept" jdbcType="BIGINT"/>
+        <result column="del_flag" property="delFlag" jdbcType="CHAR"/>
+        <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/>
+        <result column="update_time" property="updateTime" jdbcType="TIMESTAMP"/>
+        <result column="create_by" property="createBy" jdbcType="BIGINT"/>
+        <result column="update_by" property="updateBy" jdbcType="BIGINT"/>
+        <result column="remark" property="remark" jdbcType="VARCHAR"/>
+        <result column="tenant_id" property="tenantId" jdbcType="VARCHAR"/>
+    </resultMap>
+
+    <sql id="Base_Column_List">
+        cond_id, rule_id, logical_op, seq_num, parent_cond_id,
+        create_dept, del_flag, create_time, update_time,
+        create_by, update_by, remark, tenant_id
+    </sql>
+
+    <!-- 根据规则ID查询WHERE条件 -->
+    <select id="selectByRuleId" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_where_condition
+        WHERE rule_id = #{ruleId}::uuid
+        AND del_flag = '0'
+        ORDER BY seq_num ASC
+    </select>
+
+    <!-- 查询根节点条件（无父节点） -->
+    <select id="selectRootConditions" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_where_condition
+        WHERE rule_id = #{ruleId}::uuid
+        AND (parent_cond_id IS NULL OR parent_cond_id = 0)
+        AND del_flag = '0'
+        ORDER BY seq_num ASC
+    </select>
+
+    <!-- 查询指定条件的子条件 -->
+    <select id="selectChildConditions" resultMap="BaseResultMap">
+        SELECT
+        <include refid="Base_Column_List"/>
+        FROM analysis_where_condition
+        WHERE parent_cond_id = #{parentCondId}
+        AND del_flag = '0'
+        ORDER BY seq_num ASC
+    </select>
+
+</mapper>

haobang-security-xdr/syslog-consumer/src/main/resources/mapper/AppLogMapper.xml

@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="UTF-8" ?>
 <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
-<mapper namespace="com.example.esdemo.mapper.AppLogMapper">
+<mapper namespace="com.common.mapper.AppLogMapper">
 
     <insert id="batchInsert" parameterType="list">
         INSERT INTO applog (