mirror of
https://github.com/ail-project/ail-framework.git
synced 2024-11-10 08:38:28 +00:00
Alexandre Dulaunoy
0a6664ffba
usage: indexer_lookup.py [-h] [-q Q] [-n] [-t] [-l] Fulltext search for AIL optional arguments: -h, --help show this help message and exit -q Q query to lookup (one or more) -n return number of indexed documents -t dump top 500 terms -l dump all terms encountered in indexed documents
65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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#
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# This file is part of AIL framework - Analysis Information Leak framework
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Copyright (c) 2014 Alexandre Dulaunoy - a@foo.be
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import ConfigParser
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import argparse
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import sys
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configfile = '../packages/config.cfg'
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cfg = ConfigParser.ConfigParser()
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cfg.read(configfile)
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# Indexer configuration - index dir and schema setup
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indexpath = cfg.get("Indexer", "path")
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indexertype = cfg.get("Indexer", "type")
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argParser = argparse.ArgumentParser(description='Fulltext search for AIL')
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argParser.add_argument('-q', action='append', help='query to lookup (one or more)')
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argParser.add_argument('-n', action='store_true', default=False, help='return numbers of indexed documents')
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argParser.add_argument('-t', action='store_true', default=False, help='dump top 500 terms')
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argParser.add_argument('-l', action='store_true', default=False, help='dump all terms encountered in indexed documents')
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args = argParser.parse_args()
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from whoosh import index
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from whoosh.fields import *
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schema = Schema(title=TEXT(stored=True), path=ID(stored=True), content=TEXT)
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ix = index.open_dir(indexpath)
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from whoosh.qparser import QueryParser
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if args.n:
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print ix.doc_count_all()
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exit(0)
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if args.l:
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xr = ix.searcher().reader()
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for x in xr.lexicon("content"):
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print (x)
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exit(0)
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if args.t:
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xr = ix.searcher().reader()
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for x in xr.most_frequent_terms("content", number=500, prefix=''):
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print (x)
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exit(0)
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if args.q is None:
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argParser.print_help()
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exit(1)
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with ix.searcher() as searcher:
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query = QueryParser("content", ix.schema).parse(" ".join(args.q))
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results = searcher.search(query, limit=None)
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for x in results:
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print (x)
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