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/** @file chert_spelling.cc
* @brief Spelling correction data for a chert database.
*/
/* Copyright (C) 2004,2005,2006,2007,2008,2009,2010,2011 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
*/
#include <config.h>
#include <xapian/error.h>
#include <xapian/types.h>
#include "expand/expandweight.h"
#include "chert_spelling.h"
#include "omassert.h"
#include "expand/ortermlist.h"
#include "pack.h"
#include "../prefix_compressed_strings.h"
#include <algorithm>
#include <map>
#include <queue>
#include <vector>
#include <set>
#include <string>
using namespace std;
void
ChertSpellingTable::merge_changes()
{
map<fragment, set<string> >::const_iterator i;
for (i = termlist_deltas.begin(); i != termlist_deltas.end(); ++i) {
string key = i->first;
const set<string> & changes = i->second;
set<string>::const_iterator d = changes.begin();
if (d == changes.end()) continue;
string updated;
string current;
PrefixCompressedStringWriter out(updated);
if (get_exact_entry(key, current)) {
PrefixCompressedStringItor in(current);
updated.reserve(current.size()); // FIXME plus some?
while (!in.at_end() && d != changes.end()) {
const string & word = *in;
Assert(d != changes.end());
int cmp = word.compare(*d);
if (cmp < 0) {
out.append(word);
++in;
} else if (cmp > 0) {
out.append(*d);
++d;
} else {
// If an existing entry is in the changes list, that means
// we should remove it.
++in;
++d;
}
}
if (!in.at_end()) {
// FIXME : easy to optimise this to a fix-up and substring copy.
while (!in.at_end()) {
out.append(*in++);
}
}
}
while (d != changes.end()) {
out.append(*d++);
}
if (!updated.empty()) {
add(key, updated);
} else {
del(key);
}
}
termlist_deltas.clear();
map<string, Xapian::termcount>::const_iterator j;
for (j = wordfreq_changes.begin(); j != wordfreq_changes.end(); ++j) {
string key = "W" + j->first;
if (j->second) {
string tag;
pack_uint_last(tag, j->second);
add(key, tag);
} else {
del(key);
}
}
wordfreq_changes.clear();
}
void
ChertSpellingTable::toggle_fragment(fragment frag, const string & word)
{
map<fragment, set<string> >::iterator i = termlist_deltas.find(frag);
if (i == termlist_deltas.end()) {
i = termlist_deltas.insert(make_pair(frag, set<string>())).first;
}
// The commonest case is that we're adding lots of words, so try insert
// first and if that reports that the word already exists, remove it.
pair<set<string>::iterator, bool> res = i->second.insert(word);
if (!res.second) {
// word is already in the set, so remove it.
i->second.erase(res.first);
}
}
void
ChertSpellingTable::add_word(const string & word, Xapian::termcount freqinc)
{
if (word.size() <= 1) return;
map<string, Xapian::termcount>::iterator i = wordfreq_changes.find(word);
if (i != wordfreq_changes.end()) {
// Word "word" already exists and has been modified.
if (i->second) {
i->second += freqinc;
return;
}
// If "word" is currently modified such that it no longer exists, so
// we need to execute the code below to re-add trigrams for it.
i->second = freqinc;
} else {
string key = "W" + word;
string data;
if (get_exact_entry(key, data)) {
// Word "word" already exists, so increment its count.
Xapian::termcount freq;
const char * p = data.data();
if (!unpack_uint_last(&p, p + data.size(), &freq) || freq == 0) {
throw Xapian::DatabaseCorruptError("Bad spelling word freq");
}
wordfreq_changes[word] = freq + freqinc;
return;
}
wordfreq_changes[word] = freqinc;
}
// Add trigrams for word.
toggle_word(word);
}
void
ChertSpellingTable::remove_word(const string & word, Xapian::termcount freqdec)
{
if (word.size() <= 1) return;
map<string, Xapian::termcount>::iterator i = wordfreq_changes.find(word);
if (i != wordfreq_changes.end()) {
if (i->second == 0) {
// Word has already been deleted.
return;
}
// Word "word" exists and has been modified.
if (freqdec < i->second) {
i->second -= freqdec;
return;
}
// Mark word as deleted.
i->second = 0;
} else {
string key = "W" + word;
string data;
if (!get_exact_entry(key, data)) {
// This word doesn't exist.
return;
}
Xapian::termcount freq;
const char *p = data.data();
if (!unpack_uint_last(&p, p + data.size(), &freq)) {
throw Xapian::DatabaseCorruptError("Bad spelling word freq");
}
if (freqdec < freq) {
wordfreq_changes[word] = freq - freqdec;
return;
}
// Mark word as deleted.
wordfreq_changes[word] = 0;
}
// Remove trigrams for word.
toggle_word(word);
}
void
ChertSpellingTable::toggle_word(const string & word)
{
fragment buf;
// Head:
buf[0] = 'H';
buf[1] = word[0];
buf[2] = word[1];
buf[3] = '\0';
toggle_fragment(buf, word);
// Tail:
buf[0] = 'T';
buf[1] = word[word.size() - 2];
buf[2] = word[word.size() - 1];
buf[3] = '\0';
toggle_fragment(buf, word);
if (word.size() <= 4) {
// We also generate 'bookends' for two, three, and four character
// terms so we can handle transposition of the middle two characters
// of a four character word, substitution or deletion of the middle
// character of a three character word, or insertion in the middle of a
// two character word.
// 'Bookends':
buf[0] = 'B';
buf[1] = word[0];
buf[3] = '\0';
toggle_fragment(buf, word);
}
if (word.size() > 2) {
set<fragment> done;
// Middles:
buf[0] = 'M';
for (size_t start = 0; start <= word.size() - 3; ++start) {
memcpy(buf.data + 1, word.data() + start, 3);
// Don't toggle the same fragment twice or it will cancel out.
// Bug fixed in 1.2.6.
if (done.insert(buf).second)
toggle_fragment(buf, word);
}
}
}
struct TermListGreaterApproxSize {
bool operator()(const TermList *a, const TermList *b) const {
return a->get_approx_size() > b->get_approx_size();
}
};
TermList *
ChertSpellingTable::open_termlist(const string & word)
{
// This should have been handled by Database::get_spelling_suggestion().
AssertRel(word.size(),>,1);
// Merge any pending changes to disk, but don't call commit() so they
// won't be switched live.
if (!wordfreq_changes.empty()) merge_changes();
// Build a priority queue of TermList objects which returns those of
// greatest approximate size first.
priority_queue<TermList*, vector<TermList*>, TermListGreaterApproxSize> pq;
try {
string data;
fragment buf;
// Head:
buf[0] = 'H';
buf[1] = word[0];
buf[2] = word[1];
if (get_exact_entry(string(buf), data))
pq.push(new ChertSpellingTermList(data));
// Tail:
buf[0] = 'T';
buf[1] = word[word.size() - 2];
buf[2] = word[word.size() - 1];
if (get_exact_entry(string(buf), data))
pq.push(new ChertSpellingTermList(data));
if (word.size() <= 4) {
// We also generate 'bookends' for two, three, and four character
// terms so we can handle transposition of the middle two
// characters of a four character word, substitution or deletion of
// the middle character of a three character word, or insertion in
// the middle of a two character word.
buf[0] = 'B';
buf[1] = word[0];
buf[3] = '\0';
if (get_exact_entry(string(buf), data))
pq.push(new ChertSpellingTermList(data));
}
if (word.size() > 2) {
// Middles:
buf[0] = 'M';
for (size_t start = 0; start <= word.size() - 3; ++start) {
memcpy(buf.data + 1, word.data() + start, 3);
if (get_exact_entry(string(buf), data))
pq.push(new ChertSpellingTermList(data));
}
if (word.size() == 3) {
// For three letter words, we generate the two "single
// transposition" forms too, so that we can produce good
// spelling suggestions.
// ABC -> BAC
buf[1] = word[1];
buf[2] = word[0];
if (get_exact_entry(string(buf), data))
pq.push(new ChertSpellingTermList(data));
// ABC -> ACB
buf[1] = word[0];
buf[2] = word[2];
buf[3] = word[1];
if (get_exact_entry(string(buf), data))
pq.push(new ChertSpellingTermList(data));
}
} else {
Assert(word.size() == 2);
// For two letter words, we generate H and T terms for the
// transposed form so that we can produce good spelling
// suggestions.
// AB -> BA
buf[0] = 'H';
buf[1] = word[1];
buf[2] = word[0];
if (get_exact_entry(string(buf), data))
pq.push(new ChertSpellingTermList(data));
buf[0] = 'T';
if (get_exact_entry(string(buf), data))
pq.push(new ChertSpellingTermList(data));
}
if (pq.empty()) return NULL;
// Build up an OrTermList tree by combine leaves and/or branches in
// pairs. The tree is balanced by the approximated sizes of the leaf
// ChertSpellingTermList objects - the way the tree is built are very
// similar to how an optimal Huffman code is often constructed.
//
// Balancing the tree like this should tend to minimise the amount of
// work done.
while (pq.size() > 1) {
// Build the tree such that left is always >= right so that
// OrTermList can rely on this when trying to minimise work.
TermList * termlist = pq.top();
pq.pop();
termlist = new OrTermList(pq.top(), termlist);
pq.pop();
pq.push(termlist);
}
return pq.top();
} catch (...) {
// Make sure we delete all the TermList objects to avoid leaking
// memory.
while (!pq.empty()) {
delete pq.top();
pq.pop();
}
throw;
}
}
Xapian::doccount
ChertSpellingTable::get_word_frequency(const string & word) const
{
map<string, Xapian::termcount>::const_iterator i;
i = wordfreq_changes.find(word);
if (i != wordfreq_changes.end()) {
// Modified frequency for word:
return i->second;
}
string key = "W" + word;
string data;
if (get_exact_entry(key, data)) {
// Word "word" already exists.
Xapian::termcount freq;
const char *p = data.data();
if (!unpack_uint_last(&p, p + data.size(), &freq)) {
throw Xapian::DatabaseCorruptError("Bad spelling word freq");
}
return freq;
}
return 0;
}
///////////////////////////////////////////////////////////////////////////
Xapian::termcount
ChertSpellingTermList::get_approx_size() const
{
// This is only used to decide how to build a OR-tree of TermList objects
// so we just need to return "sizes" which are ordered roughly correctly.
return data.size();
}
std::string
ChertSpellingTermList::get_termname() const
{
return current_term;
}
Xapian::termcount
ChertSpellingTermList::get_wdf() const
{
return 1;
}
Xapian::doccount
ChertSpellingTermList::get_termfreq() const
{
return 1;
}
Xapian::termcount
ChertSpellingTermList::get_collection_freq() const
{
return 1;
}
TermList *
ChertSpellingTermList::next()
{
if (p == data.size()) {
p = 0;
data.resize(0);
return NULL;
}
if (!current_term.empty()) {
if (p == data.size())
throw Xapian::DatabaseCorruptError("Bad spelling termlist");
current_term.resize(byte(data[p++]) ^ MAGIC_XOR_VALUE);
}
size_t add;
if (p == data.size() ||
(add = byte(data[p]) ^ MAGIC_XOR_VALUE) >= data.size() - p)
throw Xapian::DatabaseCorruptError("Bad spelling termlist");
current_term.append(data.data() + p + 1, add);
p += add + 1;
return NULL;
}
TermList *
ChertSpellingTermList::skip_to(const string & term)
{
while (!data.empty() && current_term < term) {
(void)ChertSpellingTermList::next();
}
return NULL;
}
bool
ChertSpellingTermList::at_end() const
{
return data.empty();
}
Xapian::termcount
ChertSpellingTermList::positionlist_count() const
{
throw Xapian::UnimplementedError("ChertSpellingTermList::positionlist_count() not implemented");
}
Xapian::PositionIterator
ChertSpellingTermList::positionlist_begin() const
{
throw Xapian::UnimplementedError("ChertSpellingTermList::positionlist_begin() not implemented");
}
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