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#!/usr/bin/env python
#
# Simple example script demonstrating query expansion.
#
# Copyright (C) 2003 James Aylett
# Copyright (C) 2004,2006,2007,2012,2013 Olly Betts
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation; either version 2 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301
# USA
import sys
import xapian
# We require at least two command line arguments.
if len(sys.argv) < 3:
print >> sys.stderr, "Usage: %s PATH_TO_DATABASE QUERY [-- [DOCID...]]" % sys.argv[0]
sys.exit(1)
try:
# Open the database for searching.
database = xapian.Database(sys.argv[1])
# Start an enquire session.
enquire = xapian.Enquire(database)
# Combine command line arguments up to "--" with spaces between
# them, so that simple queries don't have to be quoted at the shell
# level.
query_string = sys.argv[2]
index = 3
while index < len(sys.argv):
arg = sys.argv[index]
index += 1
if arg == '--':
# Passed marker, move to parsing relevant docids.
break
query_string += ' '
query_string += arg
# Create an RSet with the listed docids in.
reldocs = xapian.RSet()
for index in xrange(index, len(sys.argv)):
reldocs.add_document(int(sys.argv[index]))
# Parse the query string to produce a Xapian::Query object.
qp = xapian.QueryParser()
stemmer = xapian.Stem("english")
qp.set_stemmer(stemmer)
qp.set_database(database)
qp.set_stemming_strategy(xapian.QueryParser.STEM_SOME)
query = qp.parse_query(query_string)
if not query.empty():
print "Parsed query is: %s" % str(query)
# Find the top 10 results for the query.
enquire.set_query(query)
matches = enquire.get_mset(0, 10, reldocs)
# Display the results.
print "%i results found." % matches.get_matches_estimated()
print "Results 1-%i:" % matches.size()
for m in matches:
print "%i: %i%% docid=%i [%s]" % (m.rank + 1, m.percent, m.docid, m.document.get_data())
# Put the top 5 (at most) docs into the rset if rset is empty
if reldocs.empty():
rel_count = 0
for m in matches:
reldocs.add_document(m.docid)
rel_count += 1
if rel_count == 5:
break
# Get the suggested expand terms
eterms = enquire.get_eset(10, reldocs)
print "%i suggested additional terms" % eterms.size()
for k in eterms:
print "%s: %f" % (k.term, k.weight)
except Exception, e:
print >> sys.stderr, "Exception: %s" % str(e)
sys.exit(1)
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