python – 使用jcc在pylucene / inheritance中编写自定义anaylzer？

我想在pylucene中编写一个自定义分析器.
通常在java lucene中,当你编写一个分析器类时,你的类继承了lucene的Analyzer类.

但是pylucene使用jcc,java到c / python编译器.

那么如何让python类使用jcc从java类继承,尤其是如何编写自定义pylucene分析器？

谢谢.

解决方法:

以下是包装EdgeNGram过滤器的分析器示例.

import lucene
class EdgeNGramAnalyzer(lucene.PythonAnalyzer):
    '''
    This is an example of a custom Analyzer (in this case an edge-n-gram analyzer)
    EdgeNGram Analyzers are good for type-ahead
    '''

    def __init__(self, side, minlength, maxlength):
        '''
        Args:
            side[enum] Can be one of lucene.EdgeNGramTokenFilter.Side.FRONT or lucene.EdgeNGramTokenFilter.Side.BACK
            minlength[int]
            maxlength[int]
        '''
        lucene.PythonAnalyzer.__init__(self)
        self.side = side
        self.minlength = minlength
        self.maxlength = maxlength

    def tokenStream(self, fieldName, reader):
        result = lucene.LowerCaseTokenizer(Version.LUCENE_CURRENT, reader)
        result = lucene.StandardFilter(result)
        result = lucene.StopFilter(True, result, StopAnalyzer.ENGLISH_STOP_WORDS_SET)
        result = lucene.ASCIIFoldingFilter(result)
        result = lucene.EdgeNGramTokenFilter(result, self.side, self.minlength, self.maxlength)
        return result

标签：python,pylucene,jcc
来源： https://codeday.me/bug/20190701/1343854.html