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luceneInx.py
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luceneInx.py
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#!/usr/bin/env python
#encoding: utf-8
#
# Copyright [current year] the Melange authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
本模块用于完成Lucene的初始化
luceneIndexer(docdir,indir):IndexDocuments from a directory.
"""
import os,sys,glob
import lucene
import sys, os, lucene, threading, time
from lucene import SimpleFSDirectory, System, File, Document, Field, StandardAnalyzer, IndexWriter, Version,IndexWriterConfig,FieldInfo
"""Example of Indexing with PyLucene 3.0
参考：http://blog.csdn.net/fan_hai_ping/article/details/7966461
"""
def luceneIndexer(docdir,indir):
""" IndexDocuments from a directory.
Args:
docdir:文档所在文件夹
indir:索引存放文件夹
Returns:
无返回值
说明：
FieldType().setStored=as-is value stored in the Lucene index
FieldType().setTokenized=field is analyzed using the specified Analyzer - the tokens emitted are indexed
FieldType().Indexed = the text (either as-is with keyword fields, or the tokens from tokenized fields) is made searchable (aka inverted)
FieldType().Vectored = term frequency per document is stored in the index in an easily retrievable fashion.
"""
"""#类型1属性：对于需要检索，需要返回显示setStored(True)
type1 = FieldType()
type1.setIndexed(True)
type1.setStored(True)
type1.setTokenized(False)
type1.setIndexOptions(FieldInfo.IndexOptions.DOCS_AND_FREQS)
#类型2属性：对于不用返回显示，但是需要进行检索的字段。这里我认为文本内容（content）是这一种的，通常例如文件的META信息。
type2 = FieldType()
type2.setIndexed(True)
type2.setStored(False)
type2.setTokenized(True)
type2.setIndexOptions(FieldInfo.IndexOptions.DOCS_AND_FREQS_AND_POSITIONS)"""
lucene.initVM()
DIRTOINDEX= docdir
INDEXIDR= indir
indexdir= SimpleFSDirectory(File(INDEXIDR))
analyzer= StandardAnalyzer(Version.LUCENE_30)
#用指定的语言分析器构造一个新的写索引器.
index_writer= IndexWriter(indexdir,analyzer,True,IndexWriter.MaxFieldLength(512))
for tfile in glob.glob(os.path.join(DIRTOINDEX,'*.txt')):
#print "Indexing: "
print "Indexing:", tfile;
document = Document()
content = open(tfile,'r').read()
#类型使用方式
#doc.add(Field("path", tfile, type1))
#文档新增字段（Field）{字段名："text",存储：“YES”,索引:"YES"}
document.add(Field("text",content,Field.Store.YES,Field.Index.ANALYZED))
document.add(Field("path",tfile,Field.Store.YES,Field.Index.ANALYZED))
index_writer.addDocument(document)
print "Done: ", tfile
index_writer.optimize()
print index_writer.numDocs()
index_writer.close()
if __name__ == "__main__":
docdir="C:\input"
indir="C:\index"
luceneIndexer(docdir,indir)