def setUp(self):
indexDir = os.path.join(System.getProperty("java.io.tmpdir", "tmp"),
"index-dir")
cIndexDir = "%s-compound" % (indexDir)
mIndexDir = "%s-multi" % (indexDir)
self.rmdir(cIndexDir)
self.rmdir(mIndexDir)
self.cDir = SimpleFSDirectory(File(cIndexDir))
self.mDir = SimpleFSDirectory(File(mIndexDir))
def setUp(self):
fsIndexDir = os.path.join(System.getProperty("java.io.tmpdir", "tmp"),
"fs-index")
self.rmdir(fsIndexDir)
self.ramDir = RAMDirectory()
self.fsDir = SimpleFSDirectory(File(fsIndexDir))
def __init__(self):
self.__dict__ = self.__shared_state
if not self.__shared_state:
self.jccvm = lucene.initVM()
self.index = SimpleFSDirectory(
lucene.File(settings.lucene_index_dir))
self.analyzer = StandardAnalyzer(Version.LUCENE_CURRENT)
def luceneRetriver(query):
lucene.initVM()
indir = SimpleFSDirectory(File(INDEXDIR))
lucene_analyzer = StandardAnalyzer(Version.LUCENE_30)
lucene_searcher = IndexSearcher(indir)
my_query= QueryParser(Version.LUCENE_30,"text",\
lucene_analyzer).parse(query)
MAX = 1000
total_hits = lucene_searcher.search(my_query, MAX)
print "Hits: ", total_hits.totalHits
for hit in total_hits.scoreDocs:
print "Hit Score: ", hit.score, "Hit Doc:", hit.doc, "HitString:", hit.toString(
)
doc = lucene_searcher.doc(hit.doc)
print doc.get("text").encode("utf-8")
def __init__(self, location):
lucene.initVM()
directory = SimpleFSDirectory(File(location))
self.reader = IndexReader.open(directory, True)
self.searcher = IndexSearcher(self.reader)
self.query_parser = QueryParser(Version.LUCENE_CURRENT, "text",
WhitespaceAnalyzer())
def luceneIndexer(contents):
lucene.initVM()
INDEXIDR= settings.INDEX_DIR
indexdir= SimpleFSDirectory(File(INDEXIDR))
analyzer= StandardAnalyzer(Version.LUCENE_30)
index_writer= IndexWriter(indexdir,analyzer,True,\
IndexWriter.MaxFieldLength(512))
for tfile in contents:
print"Indexing: ", tfile
document= Document()
content= tfile.getvalue()
document.add(Field("text",content,Field.Store.YES,\
Field.Index.ANALYZED))
index_writer.addDocument(document)
print"Done: ", tfile
index_writer.optimize()
print index_writer.numDocs()
index_writer.close()
def post(self):
q= self.get_argument("query")
# self.write(key)
# def query(query):
# query = self.get_argument("q")
lucene.initVM()
indexDir = "index"
dir = SimpleFSDirectory(File(indexDir))
analyzer = StandardAnalyzer(Version.LUCENE_30)
searcher = IndexSearcher(dir)
query = QueryParser(Version.LUCENE_30, "text", analyzer).parse(q)
MAX = 10
hits = searcher.search(query, MAX)
print "Found %d document(s) that matched query '%s':" % (hits.totalHits, query)
items = []
rQ = []
#for key, value in doc_urls.iteritems()
# print (key, value)
for hit in hits.scoreDocs:
#items.append({'score':hit.score, 'doc':hit.doc, 'blah':hit.toString(), 'url':doc_urls[str(hit.doc)]})
print hit.score, hit.doc, hit.toString()
print(len(doc_urls))
items.append(doc_urls[str(hit.doc)])
doc = searcher.doc(hit.doc)
print(hit.doc)
self.render("index.html", title="Results", items=items, query=q)
def names():
lst = []
search = "spax" #request.form['product']
lucene.initVM()
dir = SimpleFSDirectory(File(indexDir))
analyzer = StandardAnalyzer(Version.LUCENE_30)
searcher = IndexSearcher(dir)
query = QueryParser(lucene.Version.LUCENE_CURRENT, "text",
analyzer).parse(search)
MAX = 1000
hits = searcher.search(query, MAX)
print "Found %d document(s) that matched query '%s':" % (hits.totalHits,
query)
for hit in hits.scoreDocs:
if hit.score >= 1:
print hit.score, hit.doc, hit.toString()
doc = searcher.doc(hit.doc)
print doc.get("text").encode("utf-8")
items = doc.get("text").encode("utf-8").split(',')
for item in items:
if item == search:
pass
elif item not in lst:
lst.append(item)
#print lst
data = {"products": lst}
if request.method == 'POST':
return jsonify(data)
else:
return jsonify(data)
def configure_lucene():
f = open('clique.txt', 'r')
lucene.initVM()
print 'Inside Function'
#indexDir = "/tmp/luceneindex"
dir = SimpleFSDirectory(File(indexDir))
analyzer = StandardAnalyzer(lucene.Version.LUCENE_CURRENT)
writer = IndexWriter(dir, analyzer, True, IndexWriter.MaxFieldLength(512))
print >> sys.stderr, "Currently there are %d documents in the index..." % writer.numDocs(
)
print >> sys.stderr, "Reading lines from sys.stdin..."
for line in f:
line = line.replace('\t', '')
line = line.replace('\r', '')
line = line.replace('\n', '')
line = line.replace('^', '')
line = line.strip()
doc = Document()
doc.add(Field("text", line, Field.Store.YES, Field.Index.ANALYZED))
writer.addDocument(doc)
print >> sys.stderr, "Indexed lines from stdin (%d documents in index)" % (
writer.numDocs())
print >> sys.stderr, "About to optimize index of %d documents..." % writer.numDocs(
)
writer.optimize()
print >> sys.stderr, "...done optimizing index of %d documents" % writer.numDocs(
)
print >> sys.stderr, "Closing index of %d documents..." % writer.numDocs()
writer.close()
def init():
global searcher, analyzer, vm
vm = initVM()
STORE_DIR = "index_qst"
directory = SimpleFSDirectory(File(STORE_DIR))
searcher = IndexSearcher(directory, True)
analyzer = WhitespaceAnalyzer(Version.LUCENE_CURRENT)
def reindex(self):
writer = IndexWriter(SimpleFSDirectory(File(self.corpus.path)), self.corpus.analyzer, False, IndexWriter.MaxFieldLength.LIMITED)
indexutils.reindex_all(self.reader, writer, self.corpus.analyzer)
writer.optimize()
writer.close()
self.parent.write({'message': "Reindex successful. Corpus analyzer is now set to %s." % (self.corpus.analyzer_str,)})
self.parent.write({'status': "Ready!"})
def setUp(self):
indexDir = os.path.join(System.getProperty('java.io.tmpdir', 'tmp'),
'index-dir')
self.rmdir(indexDir)
self.dir = SimpleFSDirectory(File(indexDir))
self.addDocuments(self.dir)
def indexDocuments():
# empty index directory
indexDir = Wikipedia.directory + 'index/'
for filename in os.listdir(indexDir):
os.remove(indexDir + filename)
# index documents
lucene.initVM()
version = Version.LUCENE_CURRENT
analyzer = EnglishAnalyzer(version)
writer = IndexWriter(SimpleFSDirectory(File(indexDir)), analyzer, True,
IndexWriter.MaxFieldLength.LIMITED)
for article in Wikipedia():
doc = Document()
doc.add(
Field('id', str(article['id'][0]), Field.Store.YES,
Field.Index.NOT_ANALYZED))
doc.add(
Field('title', article['url'], Field.Store.YES,
Field.Index.NOT_ANALYZED))
doc.add(
Field('content', article['text'], Field.Store.NO,
Field.Index.ANALYZED))
writer.addDocument(doc)
print 'Optimization'
writer.optimize()
writer.close()
def retrieveDocs(q):
lucene.initVM()
analyzer = StandardAnalyzer(Version.LUCENE_30)
reader = IndexReader.open(SimpleFSDirectory(File("index/")))
searcher = IndexSearcher(reader)
query = QueryParser(Version.LUCENE_30, "text", analyzer).parse(q)
MAX = 1000
hits = searcher.search(query, MAX)
nonDiverse = []
docsToScores = {}
#create a list of html files with relevant websites
rQ = []
print "Found %d document(s) that matched query '%s':" % (hits.totalHits,
query)
for hit in hits.scoreDocs:
print hit.score, hit.doc, hit.toString()
doc = searcher.doc(hit.doc)
print doc.get("text").encode("utf-8")
#print(new_urls[str(hit.doc)])
result = str(hit.score) + " " + str(hit.doc) + " " + hit.toString()
if (len(nonDiverse) < 10):
nonDiverse.append(new_urls[str(hit.doc)])
#find the document that corresponds to the html website and append to a list for min distance
website = new_urls[str(hit.doc)]
#html_files numbers of the hit websites added to rQ
rQ.append(inv_map[website])
docsToScores[int(inv_map[website])] = hit.score
print(inv_map[website])
return docsToScores, rQ, nonDiverse
def __init__(self):
lucene.initVM()
self._lversion = Version.LUCENE_30
self._analyzer = EnglishAnalyzer(self._lversion)
self._searcher = IndexSearcher(SimpleFSDirectory(File(self.indexDir)))
self._translation = loadTranslation()
self._links = loadLinks()
def _init_index(self):
if not os.path.exists(self.corpus.path):
os.mkdir(self.corpus.path)
try:
searcher = IndexSearcher(SimpleFSDirectory(File(self.corpus.path)), True)
#except lucene.JavaError:
except:
analyzer = self.corpus.analyzer
writer = IndexWriter(SimpleFSDirectory(File(self.corpus.path)), analyzer, True, IndexWriter.MaxFieldLength.LIMITED)
writer.setMaxFieldLength(1048576)
writer.optimize()
writer.close()
self.lucene_index = SimpleFSDirectory(File(self.corpus.path))
self.searcher = IndexSearcher(self.lucene_index, True)
self.reader = IndexReader.open(self.lucene_index, True)
self.analyzer = self.corpus.analyzer
def index_files(files, index_directory):
lucene.initVM()
d = SimpleFSDirectory(File(index_directory))
analyzer = StandardAnalyzer(Version.LUCENE_30)
writer = IndexWriter(d, analyzer, True, IndexWriter.MaxFieldLength(512))
for f in files:
parse_file(f, writer)
writer.optimize()
writer.close()
def init():
global STORE_DIR, directory, searcher, analyzer, vm_env
STORE_DIR = "index_lucene_v3_highlight"
if (vm_env == None):
vm_env = initVM(vmargs=['-Djava.awt.headless=true'])
print 'lucene', VERSION
directory = SimpleFSDirectory(File(STORE_DIR))
searcher = IndexSearcher(directory, True)
analyzer = WhitespaceAnalyzer(Version.LUCENE_CURRENT)
def search(command):
STORE_DIR = "index"
vm_env = initVM()
print 'lucene', VERSION
directory = SimpleFSDirectory(File(STORE_DIR))
searcher = IndexSearcher(directory, True)
analyzer = StandardAnalyzer(Version.LUCENE_CURRENT)
result = run(searcher, analyzer, command)
searcher.close()
return result
def SearchFiles(command):
STORE_DIR = "lucene/index"
getVMEnv().attachCurrentThread()
# print 'lucene', VERSION
directory = SimpleFSDirectory(File(STORE_DIR))
searcher = IndexSearcher(directory, True)
analyzer = StandardAnalyzer(Version.LUCENE_CURRENT)
rankedfiles = run(searcher, analyzer, command)
searcher.close()
return rankedfiles
def Searchfile(command, prior, page, RPP):
STORE_DIR = "index_ans"
directory = SimpleFSDirectory(File(STORE_DIR))
searcher = IndexSearcher(directory, True)
analyzer = WhitespaceAnalyzer(Version.LUCENE_CURRENT)
store = run(searcher, analyzer, command, prior)
searcher.close()
start = (page - 1) * RPP
end = start + RPP
return store[start:end], len(store)
def __init__(self, rows=None):
#lucene.initVM()
# Django의 setttings.py 에 lucene.initVM() 설정 후 불러다 사용
vm_env = lucene.getVMEnv()
if vm_env == None:
lucene.initVM()
else:
vm_env.attachCurrentThread()
self.analyzer = lucene.StandardAnalyzer(Version.LUCENE_30)
self.indexDir = SimpleFSDirectory(File(INDEX_DIRECTORY))
self.rows = rows
def import_csv_with_content(self, csv_file, content_field):
try:
writer = IndexWriter(SimpleFSDirectory(File(self.corpus.path)), self.analyzer, False, IndexWriter.MaxFieldLength.LIMITED)
changed_rows = addmetadata.add_metadata_and_content_from_csv(self.searcher, self.reader, writer, csv_file, content_field, self.args_dir)
writer.close()
except UnicodeDecodeError:
try:
writer.close()
except:
pass
self.parent.write({'error': 'CSV import failed: file contained non-unicode characters. Please save the file with UTF-8 encoding and try again!'})
return
self.parent.write({'message': "CSV import complete: %s rows added." % (changed_rows,)})
def search_lucene_index(search_params, index_dir, index_metadata,
records_per_page):
"""
Uses the query term provided to search the disease ontology lucene index
"""
results = []
index_dir = SimpleFSDirectory(File(index_dir))
analyzer = build_perfield_analyzer(index_metadata)
searcher = IndexSearcher(index_dir)
index_fields = index_metadata.keys()
# Since we are paging results we want to grab what page we are on
page = (int(search_params.get('page', 1))) - 1
# Doing something pretty hacky here since we are trying to move from 0-based to 1
# based indexing to match our pagingation display
offset = int(page) * records_per_page
# If we are executing an advanced search we will be building a BooleanQuery
# in parts as opposed to the one MultiFieldQueryParser when doing a basic
# serach
query = None
if search_params.get('adv_search') == "True":
query = build_advanced_search_query(search_params,
search_params.get('operator'),
analyzer)
else:
parser = MultiFieldQueryParser(Version.LUCENE_CURRENT, index_fields,
analyzer)
query = MultiFieldQueryParser.parse(
parser, process_query_param((search_params.get('q'))))
# Parse through our hits
hits = searcher.search(query, 10000)
total_hits = hits.totalHits
count = min(hits.totalHits - offset, records_per_page)
for i in xrange(0, count):
score_doc = hits.scoreDocs[offset + i]
doc = searcher.doc(score_doc.doc)
term_id = doc.get('term id')
name = doc.get('name')
explain = searcher.explain(query, score_doc.doc)
match_fields = get_field_matches(explain.toString(), index_fields)
results.append((term_id, name, list(match_fields)))
searcher.close()
return (results, total_hits)
def search_image(command):
if command == ' ':
return []
Docs = []
vm_env = getVMEnv()
vm_env.attachCurrentThread()
STORE_DIR = "index_img"
directory = SimpleFSDirectory(File(STORE_DIR))
searcher = IndexSearcher(directory, True)
analyzer = WhitespaceAnalyzer(Version.LUCENE_CURRENT)
command_dict = {}
allowed_opt = ['site']
opt = 'contents'
for i in command.split(' '):
if ':' in i:
opt, value = i.split(':')[:2]
opt = opt.lower()
if opt in allowed_opt and value != '':
command_dict[opt] = command_dict.get(opt, '') + ' ' + value
else:
seg_list = jieba.cut(i)
command_dict[opt] = command_dict.get(opt,
'') + ' ' + " ".join(seg_list)
querys = BooleanQuery()
for k, v in command_dict.iteritems():
if k == 'site':
t = Term(k, '*' + v)
query = WildcardQuery(t)
else:
query = QueryParser(Version.LUCENE_CURRENT, k, analyzer).parse(v)
querys.add(query, BooleanClause.Occur.MUST)
scoreDocs = searcher.search(querys, 10000).scoreDocs
formatter = SimpleHTMLFormatter("<font color=#FF0000>", "</font>")
highlighter = Highlighter(formatter, QueryScorer(querys))
for scoreDoc in scoreDocs:
doc = searcher.doc(scoreDoc.doc)
doc_dic = {}
doc_dic["url"] = doc.get("url")
doc_dic["imgurl"] = doc.get("imgurl")
doc_dic["urltitle"] = doc.get("urltitle")
text = doc.get("contents")
ts = analyzer.tokenStream(doc.get("contents"), StringReader(text))
doc_dic["contents"] = highlighter.getBestFragments(ts, text, 2, "...")
Docs.append(doc_dic)
searcher.close()
return Docs
def createIndex(cls, dataDir, indexDir, useCompound):
indexDir = SimpleFSDirectory(File(indexDir))
writer = IndexWriter(indexDir,
StandardAnalyzer(Version.LUCENE_CURRENT), True,
IndexWriter.MaxFieldLength.UNLIMITED)
writer.setUseCompoundFile(useCompound)
for dir, dirnames, filenames in os.walk(dataDir):
for filename in filenames:
if filename.endswith('.properties'):
cls.indexFile(writer, os.path.join(dir, filename), dataDir)
writer.optimize()
writer.close()
def query(query):
lucene.initVM()
indexDir = "/Tmp/REMOVEME.index-dir"
dir = SimpleFSDirectory(File(indexDir))
analyzer = StandardAnalyzer(Version.LUCENE_30)
searcher = IndexSearcher(dir)
query = QueryParser(Version.LUCENE_30, "text", analyzer).parse(query)
MAX = 1000
hits = searcher.search(query, MAX)
print "Found %d document(s) that matched query '%s':" % (hits.totalHits,
query)
for hit in hits.scoreDocs:
print hit.score, hit.doc, hit.toString(), doc_urls[str(hit.doc)]
doc = searcher.doc(hit.doc)
def search(cls, indexDir, q):
fsDir = SimpleFSDirectory(File(indexDir))
searcher = IndexSearcher(fsDir, True)
query = QueryParser(Version.LUCENE_CURRENT, "contents",
StandardAnalyzer(Version.LUCENE_CURRENT)).parse(q)
start = time()
hits = searcher.search(query, 50).scoreDocs
duration = timedelta(seconds=time() - start)
print "Found %d document(s) (in %s) that matched query '%s':" % (
len(hits), duration, q)
for hit in hits:
doc = searcher.doc(hit.doc)
print 'path:', doc.get("path")
def find(self, query, indir):
lucene.initVM()
INDEXDIR = indir
indir = SimpleFSDirectory(File(INDEXDIR))
lucene_analyzer = StandardAnalyzer(Version.LUCENE_30)
lucene_searcher = IndexSearcher(indir)
my_query = QueryParser(Version.LUCENE_30,"<default field>",\
lucene_analyzer).parse("text:" + query + " OR title:" + query)
MAX = 1000
total_hits = lucene_searcher.search(my_query, MAX)
print "\nHits: ", total_hits.totalHits, "\n"
for hit in total_hits.scoreDocs:
print "Hit Score:", "%.4f" % hit.score, "Department:", lucene_searcher.doc(
hit.doc).get("department").encode(
"utf-8"), "Title:", lucene_searcher.doc(
hit.doc).get("title").encode("utf-8")
print lucene_searcher.doc(hit.doc).get("url").encode("utf-8"), '\n'
def index(cls, indexDir, dataDir):
if not (os.path.exists(dataDir) and os.path.isdir(dataDir)):
raise IOError, "%s does not exist or is not a directory" % (
dataDir)
dir = SimpleFSDirectory(File(indexDir))
writer = IndexWriter(dir, StandardAnalyzer(Version.LUCENE_CURRENT),
True, IndexWriter.MaxFieldLength.LIMITED)
writer.setUseCompoundFile(False)
cls.indexDirectory(writer, dataDir)
numIndexed = writer.numDocs()
writer.optimize()
writer.close()
dir.close()
return numIndexed