JSON转换工具类
- JSON转对象
pro.shushi.pamirs.meta.util.JsonUtils
- JSON转模型
pro.shushi.pamirs.framework.orm.json.PamirsDataUtils
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pro.shushi.pamirs.meta.util.JsonUtils
pro.shushi.pamirs.framework.orm.json.PamirsDataUtils
Oinone社区 作者:oinone原创文章,如若转载,请注明出处:https://doc.oinone.top/backend/17.html
访问Oinone官网:https://www.oinone.top获取数式Oinone低代码应用平台体验
业务场景 公司给员工对哪些模块有访问权限,这个时候就需要在员工访问模块表的时候做数据过滤, 解决方案 我们可以通过平台提供的数据过滤占位符解决这个问题,新建一条数据行权限,过滤语句条件是占位符,再编写占位符的解析逻辑 1.初始化权限基础数据 package pro.shushi.pamirs.demo.core.init; import com.google.common.collect.Lists; import org.springframework.core.annotation.Order; import org.springframework.stereotype.Component; import pro.shushi.pamirs.auth.api.constants.AuthConstants; import pro.shushi.pamirs.auth.api.enmu.AuthGroupTypeEnum; import pro.shushi.pamirs.auth.api.enmu.PermissionDataSourceEnum; import pro.shushi.pamirs.auth.api.enmu.PermissionTypeEnum; import pro.shushi.pamirs.auth.api.model.AuthGroup; import pro.shushi.pamirs.auth.api.model.AuthRole; import pro.shushi.pamirs.auth.api.model.ResourcePermission; import pro.shushi.pamirs.boot.base.model.UeModule; import pro.shushi.pamirs.boot.common.api.command.AppLifecycleCommand; import pro.shushi.pamirs.boot.common.api.init.InstallDataInit; import pro.shushi.pamirs.boot.common.api.init.UpgradeDataInit; import pro.shushi.pamirs.demo.api.DemoModule; import pro.shushi.pamirs.demo.core.placeholder.EmployeeModulePlaceholder; import pro.shushi.pamirs.framework.common.utils.ObjectUtils; import pro.shushi.pamirs.meta.annotation.fun.extern.Slf4j; import pro.shushi.pamirs.meta.domain.module.ModuleDefinition; import java.util.Collections; import java.util.List; @Slf4j @Component @Order(0) public class DemoModuleBizInit implements InstallDataInit, UpgradeDataInit { @Override public List<String> modules() { return Collections.singletonList(DemoModule.MODULE_MODULE); } @Override public int priority() { return 0; } @Override public boolean init(AppLifecycleCommand command, String version) { this.initAuth(); return true; } @Override public boolean upgrade(AppLifecycleCommand command, String version, String existVersion) { this.initAuth(); return true; } private void initAuth() { AuthGroup authGroup = new AuthGroup(); authGroup.setName("测试权限组") .setDisplayName("测试权限组") .setType(AuthGroupTypeEnum.RUNTIME) .setActive(true); authGroup.createOrUpdate(); AuthRole authRole = new AuthRole(); authRole.setCode("TEST_ROLE_1") .setName("测试角色") .setRoleTypeCode(AuthConstants.ROLE_SYSTEM_TYPE_CODE) .setPermissionDataSource(PermissionDataSourceEnum.CUSTOM) .setActive(true); authRole.createOrUpdate(); authRole.setGroups(Lists.newArrayList(authGroup)); authRole.fieldSave(AuthRole::getGroups); ResourcePermission authPermission = new ResourcePermission(); authPermission.setName("测试模块权限过滤") .setDomainExp(EmployeeModulePlaceholder.PLACEHOLDER) .setModel(ModuleDefinition.MODEL_MODEL) .setPermRead(true) .setPermRun(true) .setPermissionType(PermissionTypeEnum.ROW) .setPermissionDataSource(PermissionDataSourceEnum.CUSTOM) .setCanShow(true) .setActive(true); ResourcePermission authPermission2 = ObjectUtils.clone(authPermission); authPermission2.setName("测试ue模块权限过滤").setModel(UeModule.MODEL_MODEL); authGroup.setPermissions(Lists.newArrayList(authPermission, authPermission2)); authGroup.fieldSave(AuthGroup::getPermissions); } } 这里演示的module表比较特殊,需要同时设置ModuleDefinition和UeModule这2个模型做数据过滤 2.编写占位符拦截替换逻辑 package pro.shushi.pamirs.demo.core.placeholder; import org.springframework.stereotype.Component; import pro.shushi.pamirs.user.api.AbstractPlaceHolderParser; @Component public class EmployeeModulePlaceholder extends AbstractPlaceHolderParser { public static final String PLACEHOLDER = "${employeeModulePlaceholder}"; protected String value() { // TODO…
场景描述 在碰到大数据量并且需要全文检索的场景,我们在分布式架构中基本会架设ElasticSearch来作为一个常规解决方案。在oinone体系中增强模型就是应对这类场景,其背后也是整合了ElasticSearch; 使用前你应该 了解ElasticSearch,包括不限于:Index(索引)、分词、Node(节点)、Document(文档)、Shards(分片) & Replicas(副本)。参考官方网站:https://www.elastic.co/cn/ 有一个可用的ElasticSearch环境(本地项目能引用到) 前置约束 增强模型增量依赖数据变更实时消息,因此确保项目的event是开启的,mq配置正确。 项目引入搜索步骤 1、boot工程加入相关依赖包 boot工程需要指定ES客户端包版本,不指定版本会隐性依赖顶层spring-boot依赖管理指定的低版本 boot工程加入pamris-channel的工程依赖 <dependency> <groupId>org.elasticsearch.client</groupId> <artifactId>elasticsearch-rest-client</artifactId> <version>8.4.1</version> </dependency> <dependency> <groupId>jakarta.json</groupId> <artifactId>jakarta.json-api</artifactId> <version>2.1.1</version> </dependency> <dependency> <groupId>pro.shushi.pamirs.core</groupId> <artifactId>pamirs-sql-record-core</artifactId> </dependency> <dependency> <groupId>pro.shushi.pamirs.core</groupId> <artifactId>pamirs-channel-core</artifactId> </dependency> 2、api工程加入相关依赖包 在XXX-api中增加入pamirs-channel-api的依赖 <dependency> <groupId>pro.shushi.pamirs.core</groupId> <artifactId>pamirs-channel-api</artifactId> </dependency> 3、yml文件配置 在pamirs-demo-boot的application-dev.yml文件中增加配置pamirs.boot.modules增加channel,即在启动模块中增加channel模块。同时注意es的配置,是否跟es的服务一致 pamirs: record: sql: #改成自己本地路径(或服务器路径) store: /Users/oinone/record boot: modules: – channel ## 确保也安装了sql_record – sql_record channel: packages: # 增强模型扫描包配置 – com.xxx.xxx elastic: url: 127.0.0.1:9200 4、项目的模块增加模块依赖 XXXModule增加对ChannelModule的依赖 @Module(dependencies = {ChannelModule.MODULE_MODULE}) 5、增加增强模型(举例) package pro.shushi.pamirs.demo.api.enhance; import pro.shushi.pamirs.channel.enmu.IncrementEnum; import pro.shushi.pamirs.channel.meta.Enhance; import pro.shushi.pamirs.channel.meta.EnhanceModel; import pro.shushi.pamirs.demo.api.model.ShardingModel; import pro.shushi.pamirs.meta.annotation.Model; import pro.shushi.pamirs.meta.enmu.ModelTypeEnum; @Model(displayName = "测试EnhanceModel") @Model.model(ShardingModelEnhance.MODEL_MODEL) @Model.Advanced(type = ModelTypeEnum.PROXY, inherited = {EnhanceModel.MODEL_MODEL}) @Enhance(shards = "3", replicas = "1", reAlias = true,increment= IncrementEnum.OPEN) public class ShardingModelEnhance extends ShardingModel { public static final String MODEL_MODEL="demo.ShardingModelEnhance"; } 6、重启系统看效果 1、进入【传输增强模型】应用,访问增强模型列表我们会发现一条记录,并点击【全量同步】初始化ES,并全量dump数据 2、再次回到Demo应用,进入增强模型页面,可以正常访问并进增删改查操作 个性化dump逻辑 通常dump逻辑是有个性化需求,那么我们可以重写模型的synchronize方法,函数重写特性在“面向对象-继承与多态”部分中已经有详细介绍。 重写ShardingModelEnhance模型的synchronize方法 重写后,如果针对老数据记录需要把新增的字段都自动填充,可以进入【传输增强模型】应用,访问增强模型列表,找到对应的记录并点击【全量同步】 package pro.shushi.pamirs.demo.api.enhance; import pro.shushi.pamirs.channel.enmu.IncrementEnum; import pro.shushi.pamirs.channel.meta.Enhance; import pro.shushi.pamirs.channel.meta.EnhanceModel; import pro.shushi.pamirs.demo.api.model.ShardingModel; import pro.shushi.pamirs.meta.annotation.Field; import pro.shushi.pamirs.meta.annotation.Function; import pro.shushi.pamirs.meta.annotation.Model; import pro.shushi.pamirs.meta.enmu.FunctionTypeEnum; import pro.shushi.pamirs.meta.enmu.ModelTypeEnum; import java.util.List; @Model(displayName = "测试EnhanceModel") @Model.model(ShardingModelEnhance.MODEL_MODEL) @Model.Advanced(type = ModelTypeEnum.PROXY, inherited = {EnhanceModel.MODEL_MODEL}) @Enhance(shards = "3", replicas = "1", reAlias = true,increment= IncrementEnum.OPEN) public class ShardingModelEnhance extends ShardingModel { public static final String MODEL_MODEL="demo.ShardingModelEnhance"; @Field(displayName = "nick") private String nick;…
异步任务总体介绍 函数的触发和定时在很多场景中会用到,也是一个oinone的基础能力。比如我们的流程产品中在定义流程触发时就会让用户选择模型触发还是时间触发,就是用到了函数的触发与定时能力。 触发任务TriggerTaskAction 触发任务的创建,使用sql-record模块监听mysql的binlog事件,通过rocketmq发送变更数据消息,收到MQ消息后,创建TriggerAutoTask。 触发任务的执行,使用TBSchedule拉取触发任务后,执行相应函数。 项目中引入依赖 1、项目的API工程引入依赖pamirs-core-trigger模块 <dependency> <groupId>pro.shushi.pamirs.core</groupId> <artifactId>pamirs-trigger-api</artifactId> </dependency> 2、DemoModule在模块依赖定义中增加@Module(dependencies={TriggerModule.MODULE_MODULE}) @Component @Module( name = DemoModule.MODULE_NAME, displayName = "oinoneDemo工程", version = "1.0.0", dependencies = {ModuleConstants.MODULE_BASE, CommonModule.MODULE_MODULE, UserModule.MODULE_MODULE, TriggerModule.MODULE_MODULE} ) @Module.module(DemoModule.MODULE_MODULE) @Module.Advanced(selfBuilt = true, application = true) @UxHomepage(PetShopProxy.MODEL_MODEL) public class DemoModule implements PamirsModule { ……其他代码 } 3、项目的boot工程引入依赖 <dependency> <groupId>pro.shushi.pamirs.core</groupId> <artifactId>pamirs-trigger-core</artifactId> </dependency> <dependency> <groupId>pro.shushi.pamirs.core</groupId> <artifactId>pamirs-trigger-bridge-tbschedule</artifactId> </dependency> <dependency> <groupId>pro.shushi.pamirs.core</groupId> <artifactId>pamirs-sql-record-core</artifactId> </dependency> yml文件修改(applcation-xxx.yml) a. 修改pamris.event.enabled和pamris.event.schedule.enabled为trueb. pamirs_boot_modules增加启动模块:trigger、sql_record pamirs: record: sql: #改成自己路径 store: /opt/pamirs/logs … event: enabled: true schedule: enabled: true rocket-mq: namesrv-addr: 127.0.0.1:9876 boot: init: true sync: true modules: – base -…… – trigger – sql_record -…… 新建触发任务 新建PetTalentTrigger类,当PetTalent模型的数据记录被新建时触发系统做一些事情 package pro.shushi.pamirs.demo.core.trigger; import pro.shushi.pamirs.demo.api.model.PetTalent; import pro.shushi.pamirs.meta.annotation.Fun; import pro.shushi.pamirs.meta.annotation.Function; import pro.shushi.pamirs.meta.annotation.fun.extern.Slf4j; import pro.shushi.pamirs.trigger.annotation.Trigger; import pro.shushi.pamirs.trigger.enmu.TriggerConditionEnum; @Fun(PetTalent.MODEL_MODEL) @Slf4j public class PetTalentTrigger { @Function @Trigger(displayName = “PetTalent创建时触发”,name = “PetTalent#Trigger#onCreate”,condition = TriggerConditionEnum.ON_CREATE) public PetTalent onCreate(PetTalent data){ log.info(data.getName() + “,被创建”); //可以增加逻辑 return data; } } 定时任务 定时任务是一种非常常见的模式,这里就不介绍概念了,直接进入示例环节 新建PetTalentAutoTask实现ScheduleAction getInterfaceName()需要跟taskAction.setExecuteNamespace定义保持一致,都是函数的命名空间 taskAction.setExecuteFun("execute");跟执行函数名“execute”一致 TaskType需配置为CYCLE_SCHEDULE_NO_TRANSACTION_TASK,把定时任务的schedule线程分开,要不然有一个时间长的任务会导致普通异步或触发任务全部延时。 package pro.shushi.pamirs.demo.core.task; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Component; import pro.shushi.pamirs.core.common.enmu.TimeUnitEnum; import pro.shushi.pamirs.demo.api.model.PetTalent; import pro.shushi.pamirs.meta.annotation.Fun; import pro.shushi.pamirs.meta.annotation.Function; import pro.shushi.pamirs.meta.annotation.fun.extern.Slf4j; import pro.shushi.pamirs.meta.domain.fun.FunctionDefinition; import pro.shushi.pamirs.middleware.schedule.api.ScheduleAction; import pro.shushi.pamirs.middleware.schedule.common.Result; import pro.shushi.pamirs.middleware.schedule.domain.ScheduleItem; import pro.shushi.pamirs.middleware.schedule.eunmeration.TaskType; import pro.shushi.pamirs.trigger.enmu.TriggerTimeAnchorEnum; import pro.shushi.pamirs.trigger.model.ScheduleTaskAction; import pro.shushi.pamirs.trigger.service.ScheduleTaskActionService; @Slf4j @Component @Fun(PetTalent.MODEL_MODEL) public class PetTalentAutoTask implements…
目录 1. 使用工作流需要依赖的包和设置2. 触发方式2.1 自动触发方式2.2 触发方式 1.使用工作流需要依赖的包和设置 1.1 工作流需要依赖的模块 需在pom.xml中增加workflow、sql-record和trigger相关模块的依赖 workflow:工作流运行核心模块 sql-record:监听流程发布以后对应模型的增删改监听 trigger:异步任务调度模块 <dependency> <groupId>pro.shushi.pamirs.workflow</groupId> <artifactId>pamirs-workflow-api</artifactId> </dependency> <dependency> <groupId>pro.shushi.pamirs.workflow</groupId> <artifactId>pamirs-workflow-core</artifactId> </dependency> <dependency> <groupId>pro.shushi.pamirs.core</groupId> <artifactId>pamirs-sql-record-core</artifactId> </dependency> <dependency> <groupId>pro.shushi.pamirs.core</groupId> <artifactId>pamirs-trigger-core</artifactId> </dependency> <dependency> <groupId>pro.shushi.pamirs.core</groupId> <artifactId>pamirs-trigger-bridge-tbschedule</artifactId> </dependency> 在application.yml中增加对应模块的依赖以及sql-record路径以及其他相关设置 pamirs: … record: sql: #改成自己路径 store: /opt/pamirs/logs … boot: init: true sync: true modules: … – sql_record – trigger – workflow … sharding: define: data-sources: ds: pamirs models: "[trigger.PamirsSchedule]": tables: 0..13 event: enabled: true schedule: enabled: true # ownSign区分不同应用 ownSign: demo rocket-mq: # enabled 为 false情况不用配置 namesrv-addr: 192.168.6.2:19876 trigger: auto-trigger: true 2.触发方式 2.1自动触发方式 在流程设计器中设置触发方式,如果设置了代码触发方式则不会自动触发 2.2代码调用方式触发 2.2.1.再流程设计器中触发设置中,设置为是否人工触发设置为是 2.2.2.查询数据库获取该流程的编码 2.2.3.在代码中调用 /** * 触发⼯作流实例 */ private Boolean startWorkflow(WorkflowD workflowD, IdModel modelData) { WorkflowDefinition workflowDefinition = new WorkflowDefinition().queryOneByWrapper( Pops.<WorkflowDefinition>lambdaQuery() .from(WorkflowDefinition.MODEL_MODEL) .eq(WorkflowDefinition::getWorkflowCode, workflowD.getCode()) .eq(WorkflowDefinition::getActive, 1) ); if (null == workflowDefinition) { // 流程没有运⾏实例 return Boolean.FALSE; } String model = Models.api().getModel(modelData); //⼯作流上下⽂ WorkflowDataContext wdc = new WorkflowDataContext(); wdc.setDataType(WorkflowVariationTypeEnum.ADD); wdc.setModel(model); wdc.setWorkflowDefinitionDefinition(workflowDefinition.parseContent()); wdc.setWorkflowDefinition(workflowDefinition); wdc.setWorkflowDefinitionId(workflowDefinition.getId()); IdModel copyData = KryoUtils.get().copy(modelData); // ⼿动触发创建的动作流,将操作⼈设置为当前⽤户,作为流程的发起⼈ copyData.setCreateUid(PamirsSession.getUserId()); copyData.setWriteUid(PamirsSession.getUserId()); String jsonData = JsonUtils.toJSONString(copyData.get_d()); //触发⼯作流 新增时触发-onCreateManual 更新时触发-onUpdateManual Fun.run(WorkflowModelTriggerFunction.FUN_NAMESPACE, "onCreateManual", wdc, msgId, jsonData); return Boolean.TRUE; }
工作流用户待办过滤站内信 全局过滤 启动工程application.yml中配置: pamirs: workflow: notify: false 个性化过滤 实现pro.shushi.pamirs.workflow.app.api.service.WorkflowMailFilterApi接口 返回true表示需要发送站内信 返回false表示不需要发送站内信 示例: import org.apache.commons.lang3.StringUtils; import pro.shushi.pamirs.message.model.PamirsMessage; import pro.shushi.pamirs.meta.annotation.Fun; import pro.shushi.pamirs.meta.annotation.Function; import pro.shushi.pamirs.user.api.model.PamirsUser; import pro.shushi.pamirs.workflow.app.api.model.WorkflowUserTask; import pro.shushi.pamirs.workflow.app.api.service.WorkflowMailFilterApi; /** * MyWorkflowMailFilterImpl * * @author yakir on 2025/02/24 16:28. */ @Fun(WorkflowMailFilterApi.FUN_NAMESPACE) public class MyWorkflowMailFilterImpl implements WorkflowMailFilterApi { @Override @Function public Boolean filter(WorkflowUserTask workflowUserTask, PamirsUser user, PamirsMessage message) { // 按用户待办过滤 workflowUserTask if (10000L == workflowUserTask.getInitiatorUid()){ return true; } // 按用户过滤 user if (1000L == user.getId()){ return true; } // 按站内信消息过滤 message if (StringUtils.contains(message.getBody(), "你好")) { return true; } return false; } }