#!/usr/local/bin/perl
use Inline C;
use Mojolicious::Lite;
use Encode qw(decode encode);
use Mojo::Server::Daemon;

# -cbow 1 -size 200 -window 8 -negative 25 -hs 0 -sample 1e-4 -threads 40 -binary 1 -iter 15
init_net("vectors15.bin");

get '/' => sub {
  my $c    = shift;
	my $word=$c->param('word');
	my $no_nbs=$c->param('n') || 50;
	my $list;
	if(defined($word) && $word !~ /^\s*$/) {
		$c->inactivity_timeout(300);
		$c->app->log->debug('Looking for neighbours of '.$word);
		$list = get_neighbours(encode("iso-8859-1", $word), $no_nbs);
	}
  $c->render(template=>"index", word=>$word, no_nbs=>$no_nbs, list=> $list);
};

app->start;

exit;

__END__

__C__
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <malloc.h>
#include <stdlib.h>    //strlen

#define max_size 2000
#define max_w 50
#define MAX_NEIGHBOURS 1000

//the thread function
void *connection_handler(void *);
 
char *bestw[MAX_NEIGHBOURS];
char file_name[max_size], st[100][max_size];
float dist, len, bestd[MAX_NEIGHBOURS], vec[max_size];
long long words, size, a, b, c, d, cn, bi[100];
char ch;
float *M;
char *vocab;
char *stringBuffer;

int init_net(char *file_name) {
  FILE *f;

	stringBuffer = malloc(64000);
  f = fopen(file_name, "rb");
  if (f == NULL) {
    printf("Input file %s not found\n", file_name);
    return -1;
  }
  fscanf(f, "%lld", &words);
  fscanf(f, "%lld", &size);
  vocab = (char *)malloc((long long)words * max_w * sizeof(char));
  for (a = 0; a < MAX_NEIGHBOURS; a++) bestw[a] = (char *)malloc(max_size * sizeof(char));
  M = (float *)malloc((long long)words * (long long)size * sizeof(float));
  if (M == NULL) {
    printf("Cannot allocate memory: %lld MB    %lld  %lld\n", (long long)words * size * sizeof(float) / 1048576, words, size);
    return -1;
  }
  for (b = 0; b < words; b++) {
    a = 0;
    while (1) {
      vocab[b * max_w + a] = fgetc(f);
      if (feof(f) || (vocab[b * max_w + a] == ' ')) break;
      if ((a < max_w) && (vocab[b * max_w + a] != '\n')) a++;
    }
    vocab[b * max_w + a] = 0;
    for (a = 0; a < size; a++) fread(&M[a + b * size], sizeof(float), 1, f);
    len = 0;
    for (a = 0; a < size; a++) len += M[a + b * size] * M[a + b * size];
    len = sqrt(len);
    for (a = 0; a < size; a++) M[a + b * size] /= len;
  }
  fclose(f);
	return 0;
}

SV *get_neighbours(char *st1, int N) {
  if(N>MAX_NEIGHBOURS) N=MAX_NEIGHBOURS;

	FILE *out=stdout;
	*stringBuffer=0;

	for (a = 0; a < N; a++) bestd[a] = 0;
	for (a = 0; a < N; a++) bestw[a][0] = 0;
	a = 0;
	cn = 0;
	b = 0;
	c = 0;
	while (1) {
		st[cn][b] = st1[c];
		b++;
		c++;
		st[cn][b] = 0;
		if (st1[c] == 0) break;
		if (st1[c] == ' ') {
			cn++;
			b = 0;
			c++;
		}
	}
	cn++;
	for (a = 0; a < cn; a++) {
		for (b = 0; b < words; b++) if (!strcmp(&vocab[b * max_w], st[a])) break;
		if (b == words) b = -1;
		bi[a] = b;
		sprintf(stringBuffer, "\n<pre>Word: \"%s\"  Position in vocabulary: %lld</pre>\n", st[a], bi[a]);
		if (b == -1) {
			sprintf(stringBuffer+strlen(stringBuffer), "Out of dictionary word!\n");
			break;
		}
	}
	if (b == -1) goto end;
	for (a = 0; a < size; a++) vec[a] = 0;
	for (b = 0; b < cn; b++) {
		if (bi[b] == -1) continue;
		for (a = 0; a < size; a++) vec[a] += M[a + bi[b] * size];
	}
	len = 0;
	for (a = 0; a < size; a++) len += vec[a] * vec[a];
	len = sqrt(len);
	for (a = 0; a < size; a++) vec[a] /= len;
	for (a = 0; a < N; a++) bestd[a] = -1;
	for (a = 0; a < N; a++) bestw[a][0] = 0;
	for (c = 0; c < words; c++) {
		a = 0;
		for (b = 0; b < cn; b++) if (bi[b] == c) a = 1;
		if (a == 1) continue;
		dist = 0;
		for (a = 0; a < size; a++) dist += vec[a] * M[a + c * size];
		for (a = 0; a < N; a++) {
			if (dist > bestd[a]) {
				for (d = N - 1; d > a; d--) {
					bestd[d] = bestd[d - 1];
					strcpy(bestw[d], bestw[d - 1]);
				}
				bestd[a] = dist;
				strcpy(bestw[a], &vocab[c * max_w]);
				break;
			}
		}
	}
	AV* array = newAV();
	for (a = 0; a < N; a++) {
		HV* hash = newHV();
		hv_store(hash, "word", strlen("word"), newSVpvf(bestw[a], 0), 0);
		hv_store(hash, "dist", strlen("dist"), newSVnv(bestd[a]), 0);
		av_push(array, newRV_noinc((SV*)hash));
	}
 end:
	return newRV_noinc((SV*)array);
}


__DATA__

@@ index.html.ep
<!DOCTYPE html>
<html>
<head><title>DeReKo-Word-Vector-Distances</title></head>
<body>
	<p>Word vector model based on  DeReKo-2015-II. Trained with <a href="https://code.google.com/p/word2vec/">word2vec</a> using the following parameters:</p>
  <pre>
-cbow 1 -size 300 -window 7 -negative 5 -hs 0 -sample 1e-5 -threads 44 -binary 1 -iter 5
</pre>
</p>
  <form action="<%=url_for('/')->to_abs%>" method="GET">
    Word: <input type="text" name="word" value="<%= $word %>"> 
    Neighbours: <input type="text" name="n" value="<%= $no_nbs %>">
    <input type="submit" value="Show neighbours">
  </form>
  <br>
	% if($list) {
  <h3>Nearest neighbours of "<%= $word %>"</h3>
  <table>
		<tr>
     <th align="right">Pos.</th><th align="left">Word</th><th align="right">Cosine dist.</th>
   </tr>
	% my $i=1; for my $item (@$list) {
		<tr>
     <td align="right">
  		<%= $i++ %>.
     </td>
     <td>
  		<a href="/?word=<%= $item->{word} %>">
				<%= $item->{word} %>
			</a>
     </td>
     <td align="right">
  		<%= sprintf("%.3f", $item->{dist}) %>
     </td>
		</tr>
	% }
  </table>
	% }
</body>
</html>