java xbrl_XBRL中国

The Formula Working Group are pleased to begin public review of a set of additional modules and functions for the formula specifications.  Seefor details.

Most of the following features have been implemented to some degree.  The main points are:

1.Messaging: Both conformant formula processors have deployed mechanisms to generate human readable messages based on assertion results.  Stakeholders have various facets of this feature in deployed production, the draft standard details the ability to embed XPath expressions in the messages. The implementation experience has helped in evolving to a pair of specifications,one for the general mechanism of messages, which can embed XPath expressions in the message text, so that this mechanism is usable by non-formula XBRL consumers, and the other spec for the specific arc roles and variables visibility for messages for assertion validation results.

2.Aspect cover filter:  Variable set evaluations with terms of unlike units, periods, and other facets depend on filters to support aspect intermixing, with a feature of implicit filtering that ignores covered aspects.  The aspect cover filtermakes explicit and uniform the declaration of aspects to be covered in the implicit filtering process, and willimprove the readability and maintenance of formulasthat used existing 'trick' expressions to achieve this currently.

3.Custom function implementation:  Custom functions have been supported in arbitrary programming languages, such as Java, but not in a manner that allows the custom functionsto be implemented within formula linkbases, be portable between vendor implementations, and be maintainable in the linkbases.  This feature supports multi-step XPath expressions to implement custom functions, and should reduce the clutter of existing products that resulted to repeatedly copying expression codeor were unable to implement, without Java, some mathematical functions (like present value calculations and such).

4.Concept relation filters and associated DTS functions:  The dimension filter provided a means of filtering based on dimensional relationships in the DTS, this filter and companion functions extends that to all kinds of relationships.  It allows calculation processing implemented by formula, movement analysis driven by patterns of relationship structure, and reduction of difficult formula maintenance where one repeated pattern of expression can be driven by linkbase relationships and coded once, instead of repeated for each summation or movement formula. Also, supportive functions are provided to obtain available link roles, labels, role and arcrole definitions.

5.Instances, Tuples, and Chaining are supported by a set of related specifications for arc roles and techniques.  There has been steady demand for these features by stakeholders, and a prototype implementation to prove its feasibility.

### JavaXBRL的技术资料及实现方法 #### XBRL简介 可扩展商业报告语言(eXtensible Business Reporting Language, XBRL)是一种基于XML的标准,用于财务和业务数据的电子化交流[^1]。 #### 使用Java处理XBRL的方法 在Java环境中操作XBRL文档通常依赖于专门的库来解析、验证以及生成XBRL实例文件。以下是几种常见的解决方案: 1. **Arelle** Arelle 是一个开源项目,支持多种编程接口,其中包括Java API。它提供了完整的功能集,涵盖了从基本的数据读取到复杂的语义分析。通过集成Arelle的Java模块,开发者可以轻松构建自定义的应用程序以满足特定需求[^2]。 2. **JXBRL Library (Altova XMLSpy)** Altova 提供了一个名为 JXBRL 的商用库,该库专注于简化XBRL文档的操作流程。此工具包不仅能够帮助用户快速加载并查询XBRL结构中的信息节点,还允许修改现有内容或者创建全新的XBRL档案[^3]。 ```java // 示例代码展示如何利用第三方库初始化一个简单的XBRL处理器 import com.altova.jxbrl.*; public class XbrlProcessor { public static void main(String[] args) throws Exception { IXBRLDocument document = new XBRLDocument(); // 加载本地XBRL文件作为输入源 document.loadFromFile("path/to/xbrl/file.xbrl"); System.out.println(document.getRootElement().getName()); } } ``` 3. **Apache Commons Digester 和 JAXB 结合方案** 对于某些轻量级应用场景而言,可能并不需要引入庞大的专用框架;此时可以选择组合使用 Apache Commons Digester 来提取关键字段,再借助 Java Architecture for XML Binding(JAXB) 完成对象映射工作流[^4]。 注意以上提到的各种选项各有优劣,在实际选型过程中需综合考虑诸如性能指标、社区活跃度等因素后再做决定。
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