JSON转换工具类

JSON转换工具类

  1. JSON转对象
pro.shushi.pamirs.meta.util.JsonUtils
  1. JSON转模型
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

Like (0)
oinone's avataroinone
Previous 2023年6月20日 pm4:07
Next 2023年11月2日 pm1:58

相关推荐

  • EIP开放接口使用MD5验签发起请求(v5.x)

    验签工具类 PS:该验签方法仅在pamirs-core的5.0.16版本以上可正常使用 public class EipSignUtils { public static final String SIGN_METHOD_MD5 = "md5"; private static final String SIGN_METHOD_HMAC = "hmac"; private static final String SECRET_KEY_ALGORITHM = "HmacMD5"; private static final String MESSAGE_DIGEST_MD5 = "MD5"; public static String signTopRequest(Map<String, String> params, String secret, String signMethod) throws IOException { // 第一步:检查参数是否已经排序 String[] keys = params.keySet().toArray(new String[0]); Arrays.sort(keys); // 第二步:把所有参数名和参数值串在一起 StringBuilder query = new StringBuilder(); if (SIGN_METHOD_MD5.equals(signMethod)) { query.append(secret); } for (String key : keys) { String value = params.get(key); if (StringUtils.isNoneBlank(key, value)) { query.append(key).append(value); } } // 第三步:使用MD5/HMAC加密 byte[] bytes; if (SIGN_METHOD_HMAC.equals(signMethod)) { bytes = encryptHMAC(query.toString(), secret); } else { query.append(secret); bytes = encryptMD5(query.toString()); } // 第四步:把二进制转化为大写的十六进制(正确签名应该为32大写字符串,此方法需要时使用) return byte2hex(bytes); } private static byte[] encryptHMAC(String data, String secret) throws IOException { byte[] bytes; try { SecretKey secretKey = new SecretKeySpec(secret.getBytes(StandardCharsets.UTF_8), SECRET_KEY_ALGORITHM); Mac mac = Mac.getInstance(secretKey.getAlgorithm()); mac.init(secretKey); bytes = mac.doFinal(data.getBytes(StandardCharsets.UTF_8)); } catch (GeneralSecurityException e) { throw new IOException(e.toString(), e); } return bytes; } private static byte[] encryptMD5(String data) throws IOException { return encryptMD5(data.getBytes(StandardCharsets.UTF_8)); } private static byte[] encryptMD5(byte[] data) throws IOException { try { MessageDigest md = MessageDigest.getInstance(MESSAGE_DIGEST_MD5); return md.digest(data); } catch (NoSuchAlgorithmException e)…

    2024年6月29日
    2.0K00
  • 分库分表与自定义分表规则

    总体介绍 Oinone的分库分表方案是基于Sharding-JDBC的整合方案,要先具备一些Sharding-JDBC的知识。[Sharding-JDBC]https://shardingsphere.apache.org/document/current/cn/overview/ 做分库分表前,大家要有一个明确注意的点就是分表字段(也叫均衡字段)的选择,它是非常重要的,与业务场景非常相关。在明确了分库分表字段以后,甚至在功能上都要做一些妥协。比如分库分表字段在查询管理中做为查询条件是必须带上的,不然效率只会更低。 分表字段不允许更新,所以代码里更新策略设置类永不更新,并在设置了在页面修改的时候为readonly 配置分表策略 配置ShardingModel模型走分库分表的数据源pamirsSharding 为pamirsSharding配置数据源以及sharding规则 a. pamirs.sharding.define用于oinone的数据库表创建用 b. pamirs.sharding.rule用于分表规则配置 为pamirsSharding配置数据源以及sharding规则 1)指定模型对应数据源 pamirs: framework: system: system-ds-key: base system-models: – base.WorkerNode data: default-ds-key: pamirs ds-map: base: base modelDsMap: "[demo.ShardingModel]": pamirsSharding #配置模型对应的库 2)分库分表规则配置 pamirs: sharding: define: data-sources: ds: pamirs pamirsSharding: pamirs #申明pamirsSharding库对应的pamirs数据源 models: "[trigger.PamirsSchedule]": tables: 0..13 "[demo.ShardingModel]": tables: 0..7 table-separator: _ rule: pamirsSharding: #配置pamirsSharding库的分库分表规则 actual-ds: – pamirs #申明pamirsSharding库对应的pamirs数据源 sharding-rules: # Configure sharding rule ,以下配置跟sharding-jdbc配置一致 – tables: demo_core_sharding_model: #demo_core_sharding_model表规则配置 actualDataNodes: pamirs.demo_core_sharding_model_${0..7} tableStrategy: standard: shardingColumn: user_id shardingAlgorithmName: table_inline shardingAlgorithms: table_inline: type: INLINE props: algorithm-expression: demo_core_sharding_model_${(Long.valueOf(user_id) % 8)} props: sql.show: true 自定义规则 默认规则即通用的分库分表策略,如按照数据量、哈希等方式进行分库分表;通常默认规则是可以的。 但在一些复杂的业务场景下,使用默认规则可能无法满足需求,需要根据实际情况进行自定义。例如,某些业务可能有特定的数据分布模式或者查询特点,需要定制化的分库分表规则来优化数据访问性能或者满足业务需求。在这种情况下,使用自定义规则可以更好地适应业务的需求。 自定义分表规则示例 示例1:按月份分表(DATE_MONTH ) package pro.shushi.pamirs.demo.core.sharding; import cn.hutool.core.date.DateUtil; import com.google.common.collect.Range; import org.apache.shardingsphere.sharding.api.sharding.standard.PreciseShardingValue; import org.apache.shardingsphere.sharding.api.sharding.standard.RangeShardingValue; import org.apache.shardingsphere.sharding.api.sharding.standard.StandardShardingAlgorithm; import org.springframework.stereotype.Component; import pro.shushi.pamirs.meta.annotation.fun.extern.Slf4j; import java.util.*; /** * @author wangxian * @version 1.0 * @description */ @Component @Slf4j public class DateMonthShardingAlgorithm implements StandardShardingAlgorithm<Date> { private Properties props; @Override public String doSharding(Collection<String> availableTargetNames, PreciseShardingValue<Date> preciseShardingValue) { Date date = preciseShardingValue.getValue(); String suffix = "_" + (DateUtil.month(date) + 1); for (String tableName : availableTargetNames) { if (tableName.endsWith(suffix)) { return tableName; } } throw new IllegalArgumentException("未找到匹配的数据表"); } @Override public Collection<String> doSharding(Collection<String> availableTargetNames, RangeShardingValue<Date> rangeShardingValue) { List<String> list =…

    2024年5月11日
    1.8K00
  • 【HighGo】后端部署使用HighGo数据库

    HighGo数据库配置 驱动配置 jdbc仓库 https://mvnrepository.com/artifact/com.highgo/HgdbJdbc Maven配置(6.0.1版本可用) <highgo.version>6.0.1.jre8</highgo.version> <dependency> <groupId>com.highgo</groupId> <artifactId>HgdbJdbc</artifactId> <version>${highgo.version}</version> </dependency> JDBC连接配置 pamirs: datasource: base: type: com.alibaba.druid.pool.DruidDataSource driverClassName: com.highgo.jdbc.Driver url: jdbc:highgo://127.0.0.1:5866/oio_base?currentSchema=base,utl_file username: xxxxxx password: xxxxxx initialSize: 5 maxActive: 200 minIdle: 5 maxWait: 60000 timeBetweenEvictionRunsMillis: 60000 testWhileIdle: true testOnBorrow: false testOnReturn: false poolPreparedStatements: true asyncInit: true 连接url配置 官方文档 https://www.highgo.com/document/zh-cn/application/jdbc.html url格式 jdbc:highgo://ip:端口号/数据库名?currentSchema=schema1,schema2 在jdbc连接配置时,${database}和${schema}必须完整配置,不可缺省。 jdbc指定schema时可以在currentSchema后指定多个schema,中间用,分隔,第一个schema为业务库表存放的主schema。 highgo数据库6.0版本里每个数据库默认会带一个utl_file的schema,该模式与文件访问功能有关,需要带在jdbc的schema中,但不能放在第一个。 其他连接参数如需配置,可自行查阅相关资料进行调优。 方言配置 pamirs方言配置 pamirs: dialect: ds: base: type: HighGoDB version: 6 major-version: 6.0.1 biz_data: type: HighGoDB version: 6 major-version: 6.0.1 数据库版本 type version majorVersion 6.0.x HighGo 6 6.0.1 PS:由于方言开发环境为6.0.1版本,其他类似版本(6.0.x)原则上不会出现太大差异,如出现其他版本无法正常支持的,可在文档下方留言。 schedule方言配置 pamirs: event: enabled: true schedule: enabled: true dialect: type: HighGoDB version: 6 major-version: 6.0.1 其他配置 逻辑删除的值配置 pamirs: mapper: global: table-info: logic-delete-value: (EXTRACT(epoch FROM CURRENT_TIMESTAMP) * 1000000 + EXTRACT(MICROSECONDS FROM CURRENT_TIMESTAMP))::bigint Highgo数据库用户初始化及授权 — init oio_base user (user name can be modified by oneself) CREATE USER oio_base WITH PASSWORD 'Test@12345678'; — if using automatic database and schema creation, this is very important. ALTER USER oio_base CREATEDB; SELECT * FROM pg_roles; — if using highgo database, this authorization is required. GRANT CREATE ON DATABASE highgo TO oio_base;

    2025年7月10日
    79800
  • 后端:如何自定义表达式实现特殊需求?扩展内置函数表达式

    平台提供了很多的表达式,如果这些表达式不满足场景?那我们应该如何新增表达式去满足项目的需求?目前平台支持的表达式内置函数,参考 1. 扩展表达式的场景 注解@Validation的rule字段支持配置表达式校验如果需要判断入参List类型字段中的某一个参数进行NULL校验,发现平台的内置函数不支持该场景的配置,这里就可以通过平台的机制,对内置函数进行扩展。 常见的一些代码场景,如下: package pro.shushi.pamirs.demo.core.action; ……引用类 @Model.model(PetShopProxy.MODEL_MODEL) @Component public class PetShopProxyAction extends DataStatusBehavior<PetShopProxy> { @Override protected PetShopProxy fetchData(PetShopProxy data) { return data.queryById(); } @Validation(ruleWithTips = { @Validation.Rule(value = "!IS_BLANK(data.code)", error = "编码为必填项"), @Validation.Rule(value = "LEN(data.name) < 128", error = "名称过长,不能超过128位"), }) @Action(displayName = "启用") @Action.Advanced(invisible="!(activeRecord.code !== undefined && !IS_BLANK(activeRecord.code))") public PetShopProxy dataStatusEnable(PetShopProxy data){ data = super.dataStatusEnable(data); data.updateById(); return data; } ……其他代码 } 2. 新建一个自定义表达式的函数 校验入参如果是个集合对象的情况下,单个对象的某个字段如果为空,返回false的函数。 例子:新建一个CustomCollectionFunctions类 package xxx.xxx.xxx; import org.apache.commons.collections4.CollectionUtils; import org.springframework.stereotype.Component; import pro.shushi.pamirs.meta.annotation.Fun; import pro.shushi.pamirs.meta.annotation.Function; import pro.shushi.pamirs.meta.common.constants.NamespaceConstants; import pro.shushi.pamirs.meta.util.FieldUtils; import java.util.List; import static pro.shushi.pamirs.meta.enmu.FunctionCategoryEnum.COLLECTION; import static pro.shushi.pamirs.meta.enmu.FunctionLanguageEnum.JAVA; import static pro.shushi.pamirs.meta.enmu.FunctionOpenEnum.LOCAL; import static pro.shushi.pamirs.meta.enmu.FunctionSceneEnum.EXPRESSION; /** * 自定义内置函数 */ @Fun(NamespaceConstants.expression) @Component public class CustomCollectionFunctions { /** * LIST_FIELD_NULL 就是我们自定义的表达式,不能与已经存在的表达式重复!!! * * @param list * @param field * @return */ @Function.Advanced( displayName = "校验集成的参数是否为null", language = JAVA, builtin = true, category = COLLECTION ) @Function.fun("LIST_FIELD_NULL") @Function(name = "LIST_FIELD_NULL", scene = {EXPRESSION}, openLevel = LOCAL, summary = "函数示例: LIST_FIELD_NULL(list,field),函数说明: 传入一个对象集合,校验集合的字段是否为空" ) public Boolean listFieldNull(List list, String field) { if (null == list) { return false; } if (CollectionUtils.isEmpty(list)) { return false; } for (Object data : list) { Object value =…

    2024年5月30日
    3.9K00
  • 导入设计数据时dubbo超时导入失败

    问题描述 在本地启动导入设计数据的工程时,会出现dubbo调用超时导致设计数据无法完整导入的问题。 org.apache.dubbo.remoting.TimeoutException 产生原因 pom中的包依赖出现问题,导致没有使用正确的远程服务。 本地可能出现的异常报错堆栈信息如下: xception in thread "fixed-1-thread-10" PamirsException level: ERROR, code: 10100025, type: SYSTEM_ERROR, msg: 函数执行错误, extra:, extend: null at pro.shushi.pamirs.meta.common.exception.PamirsException$Builder.errThrow(PamirsException.java:190) at pro.shushi.pamirs.framework.faas.fun.manage.ManagementAspect.around(ManagementAspect.java:118) at sun.reflect.GeneratedMethodAccessor498.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.springframework.aop.aspectj.AbstractAspectJAdvice.invokeAdviceMethodWithGivenArgs(AbstractAspectJAdvice.java:644) at org.springframework.aop.aspectj.AbstractAspectJAdvice.invokeAdviceMethod(AbstractAspectJAdvice.java:633) at org.springframework.aop.aspectj.AspectJAroundAdvice.invoke(AspectJAroundAdvice.java:70) at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:175) at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.proceed(CglibAopProxy.java:749) at org.springframework.aop.interceptor.ExposeInvocationInterceptor.invoke(ExposeInvocationInterceptor.java:95) at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:186) at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.proceed(CglibAopProxy.java:749) at org.springframework.aop.framework.CglibAopProxy$DynamicAdvisedInterceptor.intercept(CglibAopProxy.java:691) at pro.shushi.pamirs.framework.orm.DefaultWriteApi$$EnhancerBySpringCGLIB$$b4cea2b4.createOrUpdateBatchWithResult(<generated>) at pro.shushi.pamirs.meta.base.manager.data.OriginDataManager.createOrUpdateBatchWithResult(OriginDataManager.java:161) at pro.shushi.pamirs.meta.base.manager.data.OriginDataManager.createOrUpdateBatch(OriginDataManager.java:152) at pro.shushi.pamirs.ui.designer.service.installer.UiDesignerInstaller.lambda$install$0(UiDesignerInstaller.java:42) at pro.shushi.pamirs.core.common.function.AroundRunnable.run(AroundRunnable.java:26) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.dubbo.rpc.RpcException: Failed to invoke the method createOrUpdateBatchWithResult in the service org.apache.dubbo.rpc.service.GenericService. Tried 1 times of the providers [192.168.0.123:20880] (1/1) from the registry 127.0.0.1:2181 on the consumer 192.168.0.123 using the dubbo version 2.7.22. Last error is: Invoke remote method timeout. method: $invoke, provider: dubbo://192.168.0.123:20880/ui.designer.UiDesignerViewLayout.oio.defaultWriteApi?anyhost=true&application=pamirs-demo&application.version=1.0.0&check=false&deprecated=false&dubbo=2.0.2&dynamic=true&generic=true&group=pamirs&interface=ui.designer.UiDesignerViewLayout.oio.defaultWriteApi&metadata-type=remote&methods=*&payload=104857600&pid=69748&qos.enable=false&register.ip=192.168.0.123&release=2.7.15&remote.application=pamirs-test&retries=0&serialization=pamirs&service.name=ServiceBean:pamirs/ui.designer.UiDesignerViewLayout.oio.defaultWriteApi:1.0.0&side=consumer&sticky=false&timeout=5000&timestamp=1701136088893&version=1.0.0, cause: org.apache.dubbo.remoting.TimeoutException: Waiting server-side response timeout by scan timer. start time: 2023-11-28 10:23:05.835, end time: 2023-11-28 10:23:10.856, client elapsed: 695 ms, server elapsed: 4326 ms, timeout: 5000 ms, request: Request [id=0, version=2.0.2, twoway=true, event=false, broken=false, data=null], channel: /192.168.0.123:49449 -> /192.168.0.123:20880 at org.apache.dubbo.rpc.cluster.support.FailoverClusterInvoker.doInvoke(FailoverClusterInvoker.java:110) at org.apache.dubbo.rpc.cluster.support.AbstractClusterInvoker.invoke(AbstractClusterInvoker.java:265) at org.apache.dubbo.rpc.cluster.interceptor.ClusterInterceptor.intercept(ClusterInterceptor.java:47) at org.apache.dubbo.rpc.cluster.support.wrapper.AbstractCluster$InterceptorInvokerNode.invoke(AbstractCluster.java:92) at org.apache.dubbo.rpc.cluster.support.wrapper.MockClusterInvoker.invoke(MockClusterInvoker.java:98) at org.apache.dubbo.registry.client.migration.MigrationInvoker.invoke(MigrationInvoker.java:170) at org.apache.dubbo.rpc.proxy.InvokerInvocationHandler.invoke(InvokerInvocationHandler.java:96) at org.apache.dubbo.common.bytecode.proxy0.$invoke(proxy0.java) at pro.shushi.pamirs.framework.faas.distribution.computer.RemoteComputer.compute(RemoteComputer.java:124) at pro.shushi.pamirs.framework.faas.FunEngine.run(FunEngine.java:80) at pro.shushi.pamirs.distribution.faas.remote.spi.service.RemoteFunctionHelper.run(RemoteFunctionHelper.java:68) at pro.shushi.pamirs.framework.faas.fun.manage.ManagementAspect.around(ManagementAspect.java:109) … 20 more Caused…

    2023年11月28日
    1.3K00

Leave a Reply

Please Login to Comment