def Qsearch(self,query):
words = seg.segment(query.strip())
#words = self.segmentor.segment(query.strip())
#print ' '.join(words)
vm_env = lucene.getVMEnv()
vm_env.attachCurrentThread()
result = QueryParser(Version.LUCENE_CURRENT, "contents",self.analyzer)
result.setPhraseSlop(0)
# "\""+' '.join(words)+"\"~0" means words should be continuous
query = result.parse("\""+' '.join(words)+"\"~0")
totalHits = self.searcher.search(query, 50)
#print "%s total matching documents." % totalHits.totalHits
#return totalHits.totalHits
for hit in totalHits.scoreDocs:
#print"Hit Score: ",hit.score, "Hit Doc:",hit.doc, "HitString:",hit.toString()
doc= self.searcher.doc(hit.doc)
#print doc.get("name").encode("utf-8")
#print "----------------------------------------"
t = Term('contents',' '.join(words))
#termDocs = ireader.termDocs(t)
#for tt in termDocs:
# print ireader.document(termDocs.docs).getFeildable('neme'),termDocs.freq()
#print self.reader.totalTermFreq(t)
return self.reader.totalTermFreq(t)
def getQueryParser(self):
analyzers = self.getSearchingAnalyzers()
map = HashMap()
map.put('name', analyzers['name'])
map.put('parent', analyzers['parent'])
map.put('content', analyzers['default'])
map.put('id', analyzers['id'])
analyzerWrapper = PerFieldAnalyzerWrapper(analyzers['default'], map)
queryParser = QueryParser(Version.LUCENE_CURRENT, 'content', analyzerWrapper)
queryParser.setAutoGeneratePhraseQueries(PHRASE_QUERY_BY_DEFAULT)
queryParser.setPhraseSlop(PHRASE_SLOP)
queryParser.setFuzzyMinSim(FUZZY_MIN_SIM)
queryParser.setDefaultOperator(DEFAULT_OPERATOR)
return queryParser
