标签: entityresolver

当我尝试运行我的java程序时,我得到以下错误(它应该读取一个xml文件并打印出一些内容).

根据我的理解,有一个未引用的实体,它不是xml标准的一部分,所以我的问题是; 我该如何解决这个问题？

谢谢,

[Fatal Error] subject.xml:4:233: The entity "rsquo" was referenced, but not declared.
org.xml.sax.SAXParseException: The entity "rsquo" was referenced, but not declared.
at com.sun.org.apache.xerces.internal.parsers.DOMParser.parse(Unknown Source)
at com.sun.org.apache.xerces.internal.jaxp.DocumentBuilderImpl.parse(Unknown Source)
at javax.xml.parsers.DocumentBuilder.parse(Unknown Source)
at DomParserExample2.parseXmlFile(DomParserExample2.java:42)
at DomParserExample2.runExample(DomParserExample2.java:24)
at DomParserExample2.main(DomParserExample2.java:115)
Exception in thread "main" java.lang.NullPointerException
at DomParserExample2.parseDocument(DomParserExample2.java:54)
at DomParserExample2.runExample(DomParserExample2.java:27)
at DomParserExample2.main(DomParserExample2.java:115)

我想解析以下XML文档来解析其中的所有实体:

 <!DOCTYPE doc SYSTEM 'mydoc.dtd'>
 <doc>&title;</doc>

我的EntityResolver应该从数据库中获取具有给定系统ID的外部实体,然后执行解决方案,请参阅下面的插图:

 private static class MyEntityResolver
 {
    public InputSource resolveEntity(String publicId, String systemId)
        throws SAXException, IOException
    {
        // At this point, systemId is always absolutized to the current working directory, 
        // even though the XML document specified it as relative.
        // E.g. "file:///H:/mydoc.dtd" instead of just "mydoc.dtd"
        // Why???  How can I prevent this???

        SgmlEntity entity = findEntityFromDatabase(systemId);
        InputSource is = new InputSource(new ByteArrayInputStream(entity.getContents()));
        is.setPublicId(publicId);
        is.setSystemId(systemId);
        return is;
    }
 }

我都尝试使用DOM(DocumentBuilder的)和SAX(XMLReader的),实体解析器设置为MyEntityResolver(即setEntityResolver(new MyEntityResolver())),但systemId …

我有两个带有姓名列表的数据框

df1[name]   -> number of rows 3000

df2[name]   -> number of rows 64000

我使用 fuzzy wuzzy 使用以下代码从 df2 中获取 df1 条目的最佳匹配：

from fuzzywuzzy import fuzz
from fuzzywuzzy import process

matches = [process.extract(x, df1, limit=1) for x in df2]

但这需要很长时间才能完成。有没有更快的方法来对 pandas 中的字符串进行模糊匹配？