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#!/usr/bin/perl -w |
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###################################### |
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# |
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# A simple search engine program |
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# |
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###################################### |
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use strict; |
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use CGI::Carp qw(fatalsToBrowser); |
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use Semantic::API; |
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use CGI; |
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use Data::Dump qw/dump/; |
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use EPrints; |
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use Cwd qw/abs_path/; |
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use KinoSearch::Simple; |
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use lib '/home/dpavlin/stem-hr/'; |
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use StemHR; |
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|
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my $debug = 1; |
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my $abs_path; |
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|
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BEGIN { |
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use CGI::Carp qw(carpout); |
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|
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$abs_path = abs_path( $0 ); |
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$abs_path =~ s!/[^/]*$!/!; #!fix-vim |
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|
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open(my $log_fh, '>>', "$abs_path/log") or |
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die("Unable to open $abs_path/log: $!\n"); |
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carpout($log_fh); |
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} |
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|
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############################################################# |
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my $COLLECTION = 'EPrints'; |
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my ( @TERMS, @RESULTS ); |
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my ( $RESULTS_TO_DISPLAY, $TERMS_TO_DISPLAY ) = ( 20, 20 ); |
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############################################################# |
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|
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############################### |
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# CGI Variables |
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############################### |
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my $cgi = new CGI; |
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my $start = $cgi->param( 'start' ) || 0; |
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my $query = $cgi->param( 'query' ) || ''; |
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my $similar = $cgi->param( 'similar' ) || ''; |
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my $slogovi = $cgi->param( 'slogovi' ) || ''; |
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my $stem = $cgi->param( 'stem' ) || ''; |
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my $similar_to_kino = $cgi->param( 'similar_to_kino' ); |
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my $charset='iso-8859-2'; |
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|
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my $full_query = $query; |
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$full_query .= " " . EPrints->slogovi( $query ) if ($slogovi); |
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$full_query .= " " . StemHR->stem( $query ) if ($stem); |
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|
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############################## |
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# Start the HTML output |
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############################## |
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print "Content-type: text/html; charset=$charset\n\n"; |
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print qq|<?xml version="1.0" encoding="$charset"?> |
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" |
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"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd"> |
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<html xmlns="http://www.w3.org/1999/xhtml"> |
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<head> |
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<meta http-equiv="content-type" content="text/html; charset=$charset" /> |
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<title>Semantic Search Engine</title> |
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</head> |
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<body> |
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<form method="get" action=""> |
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<p> |
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Enter bunch of related terms to documents you are trying to find: |
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<br/><input type="text" name="query" value="$query" size="80"> |
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<br/><input type="submit" /> |
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|, |
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$cgi->checkbox( -name => 'stem' ), |
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$cgi->checkbox( -name => 'slogovi' ), |
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$cgi->checkbox( -name => 'similar_to_kino', -label=>'similar to fulltext' ), |
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qq| |
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</p>\n|; |
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|
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########################## |
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# Do the actual search |
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########################## |
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if( $query || $similar ) { |
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# Create collection-based objects |
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my $semantic = Semantic::API::Search->new( storage => 'sqlite', |
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database => "$abs_path/eprints.db", |
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collection => $COLLECTION ); |
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my $score_ponder; |
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my ($results, $terms); |
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if ( $query ) { |
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my $kino = KinoSearch::Simple->new( |
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path => 'kinoindex/', |
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language => 'ru', |
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); |
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my $kino_query = join(" AND ", split(/\s+/, $query ) ); |
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my $total_hits = $kino->search( |
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query => $kino_query, |
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offset => 0, |
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num_wanted => 10, |
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); |
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my @similar_ids; |
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my ( $max, $min ) = ( 0,0 ); |
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print qq|<div style="width:20%; float:right;">KinoSearch hits $total_hits for $kino_query\n<ol>|; |
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while ( my $hit = $kino->fetch_hit_hashref ) { |
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print qq|<li><a href="#id_$hit->{id}">$hit->{title}</a> $hit->{score}</li>\n|; |
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if ( $similar_to_kino ) { |
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push @similar_ids, $hit->{id}; |
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} else { |
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$score_ponder->{ $hit->{id} } = $hit->{score}; |
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$min = $hit->{score} if ( $hit->{score} < $min ); |
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$max = $hit->{score} if ( $hit->{score} > $max ); |
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} |
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} |
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my $d = $max - $min; |
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map { |
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$score_ponder->{ $_ } -= $min; |
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$score_ponder->{ $_ } /= $d; |
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warn "score_ponder $_ = ", $score_ponder->{$_} if $debug; |
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} keys %$score_ponder; |
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if ( $similar_to_kino ) { |
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print qq|</ol></div>|; |
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($results, $terms) = $semantic->find_similar( @similar_ids ); |
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} else { |
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print qq|</ol>score range: $min - $max</div>|; |
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($results, $terms) = $semantic->semantic_search( $full_query ); |
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} |
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} else { |
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($results, $terms) = $semantic->find_similar( $similar ); |
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} |
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warn "results = ",dump( $results ) if $debug; |
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warn "terms = ",dump( $terms ) if $debug; |
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################################## |
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# TERM BASED CALCULATIONS |
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################################## |
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my @sorted_terms = sort { $terms->{$b} <=> $terms->{$a} } keys %$terms; |
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my @top_terms = splice( @sorted_terms, $start, $TERMS_TO_DISPLAY ); |
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warn "top_terms = ", dump( @top_terms ) if $debug; |
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print "<p>Full query: $full_query</p>\n"; |
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print "<p>Related Terms: ". ( join ", ", @top_terms ) ."</p>\n"; |
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print "<hr />\n"; |
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################################## |
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# DOCUMENT BASED CALCULATIONS |
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################################## |
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print "<p>Result Count: ".(scalar keys %$results)."</p>\n"; |
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my @sorted_results = sort { |
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$results->{$b} <=> $results->{$a} |
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} map { |
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$results->{$_} *= ( $score_ponder->{$_} || 0.1 ); $_; |
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} keys %$results; |
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my @display_results = splice( @sorted_results, $start, $RESULTS_TO_DISPLAY ); |
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warn "display results = ", dump( @display_results ) if $debug; |
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|
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################################## |
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# Access the storage engine to |
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# retrieve the title and text |
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################################## |
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my $i = 1 + $start; |
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print $semantic->paginate( "?query=$query;similar=$similar;stem=$stem;slogovi=$slogovi", $start, scalar keys %$results, $RESULTS_TO_DISPLAY); |
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foreach my $id ( @display_results ){ |
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EPrints->id( $id ); |
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print "<p><a name=\"id_$id\"/>$i. <b>", EPrints->lookup( 'title' ), "</b>"; |
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print "| score: <em>", sprintf("%.2f",$results->{$id}), "</em> | id: $id | <a href=\"?similar=$id\">similar</a> | "; |
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my ($type,$uri) = EPrints->fulltext; |
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print qq|<a href="$uri">$type</a>|; |
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print "</p>\n"; |
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print "<p>"; |
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# print $semantic->summarize($id); |
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print "</p><p>Keywords: ", EPrints->lookup('keywords'), "</p><p>"; |
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print "<small>", EPrints->lookup('abstract'), "</small>"; |
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print "</p>\n"; |
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$i++; |
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} |
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} |
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print "</body>\n</html>\n"; |
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