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#include <QStringList>
#include "cntsqlsearch.h"
#include <QHash>
#include <QLocale>
const char KLimitLength = 15;
const int KTwoTokens = 2;
const int KOneToken = 1;
const char KLowerLimitPadding = '0';
const char KUpperLimitPadding = 'F';
const int KMinimumSearchPatternLength = 1;
const int KHexadecimalBase = 16;
#define ORDER_BY_FIRSTNAME_LASTNAME " ORDER BY first_name, last_name ASC;"
#define SELECT_CONTACT_ID "SELECT contact_id FROM "
// TODO: Since the column names are repeated several times, replace them with
// shorter names like w, x, y & z. Also replace contact_id by id etc.
// Predictive search table's columns
const QString KColumn1 = "nbr";
const QString KColumn2 = "nbr2";
const QString KColumn3 = "nbr3";
const QString KColumn4 = "nbr4";
// Special handling for characters that originate from * and # keys
const QChar KStarChar('*');
const QChar KPlusChar('+');
const QChar KPChar('p');
const QChar KWChar('w');
const QChar KHashChar('#');
CntSqlSearch::CntSqlSearch()
{
}
// Basic cases:
// 1: "0", "5"
// Just one digit. Select all contact ids from the table. No need to compare
// values.
//
// 2: "123", "01", "10", "010", "00"
// No zeros which have non-zeros in their both sides
// One or zero tokens, when pattern is split using '0'.
//
// 3: "101", "1001"
// Same digit of both sides of the zero
// Two tokens, each with length of 1 and tokens are the same.
// The queries of case 3 could also be handled with case 4 query, but that
// would yield a longer SQL statement.
//
// 4: "102", "1002"
// One or more zeros in the middle, just one digit on either side of the zero(s)
// and those digits are not the same.
// Two tokens, each with length of 1 and tokens are different.
//
// 5: "1023", "0102", "1010", "00100200", "10203", "01020304050"
// Two tokens, at least one of them has length > 1.
// If tokens are identical, handle as case 3, otherwise handle as case 4.
// ("10203" -> tokens "1" and "203"
// "0010023004560" -> tokens "001" and "23004560")
//
// 6: "10", "1000"
// Two tokens, last token ends zero.
// In this case, query should look-up first toke and number ("10", "1000").
QString CntSqlSearch::CreatePredictiveSearch(const QString &pattern)
{
int len = pattern.length();
QString newPattern = ChangeStringPadings(pattern);
// For best performance, handle 1 digit case first
if (len == KMinimumSearchPatternLength)
{
// Case 1
return SELECT_CONTACT_ID + SelectTable(newPattern) + ORDER_BY_FIRSTNAME_LASTNAME;
}
if (len <= KLimitLength && len > KMinimumSearchPatternLength)
{
return CreateQuery(newPattern);
}
return QString(""); // Invalid pattern
}
QString CntSqlSearch::SelectTable(const QString &pattern) const
{
QString predictivesearch;
QStringList tokens = GetTokens(pattern);
bool ok;
if (pattern.length() == 0)
{
return "";
}
QString firstNumber(pattern.at(0));
uint hex = firstNumber.toUInt(&ok, 16);
if (!ok)
{
// TODO: handle error (=invalid characters in pattern)
}
switch (hex)
{
case 0:
{
predictivesearch = QString("predictivesearch0");
}
break;
case 1:
{
predictivesearch = QString("predictivesearch1");
}
break;
case 2:
{
predictivesearch = QString("predictivesearch2");
}
break;
case 3:
{
predictivesearch = QString("predictivesearch3");
}
break;
case 4:
{
predictivesearch = QString("predictivesearch4");
}
break;
case 5:
{
predictivesearch = QString("predictivesearch5");
}
break;
case 6:
{
predictivesearch = QString("predictivesearch6");
}
break;
case 7:
{
predictivesearch = QString("predictivesearch7");
}
break;
case 8:
{
predictivesearch = QString("predictivesearch8");
}
break;
case 9:
{
predictivesearch = QString("predictivesearch9");
}
break;
case 10:
{
predictivesearch = QString("predictivesearch10");
}
break;
case 11:
{
predictivesearch = QString("predictivesearch11");
}
break;
default: // error
predictivesearch = "";
break;
}
return predictivesearch;
}
// Even if there are over 2 tokens, make 2 tokens.
// If there are two or more tokens, include the leading zeros in the first
// token the and trailing zeros in the second token.
// E.g. "0010230" results tokens "001" and "230" and
// "001230045067800900" tokens "00123" and "45067800900".
QStringList CntSqlSearch::GetTokens(const QString& pattern) const
{
const QChar KZero('0');
QStringList tokens = pattern.split(KZero, QString::SkipEmptyParts);
if (tokens.count() < KTwoTokens)
{
return tokens;
}
QStringList twoTokens;
int i(0);
while (pattern[i] == KZero) // Skip leading zeros
{
++i;
}
while (pattern[i] != KZero) // Skip non-zeros to find where first token ends
{
++i;
}
twoTokens.append(pattern.left(i));
while (pattern[i] == KZero) // Skip zeros to find where second token begins
{
++i;
}
twoTokens.append(pattern.mid(i));
return twoTokens;
}
// pattern length is between KMinimumSearchPatternLength...KLimitLength
QString CntSqlSearch::CreateQuery(const QString& pattern) const
{
QStringList tokens = GetTokens(pattern);
if (tokens.count() < KTwoTokens)
{
if( TestPattern(pattern, CntSqlSearch::ZerosEndOfFirstToken))
{
return TwoDifferentTokensSearch(pattern, tokens); // Case 6
}
else
{
return ExactMatchSearch(pattern) + Order(tokens); // Case 2
}
}
else
{
if (tokens.at(0) == tokens.at(1))
{
return IdenticalTokensSearch(pattern, tokens); // Case 3
}
else
{
return IntersectionSearch(pattern, tokens); // Case 4
}
}
}
QString CntSqlSearch::ExactMatchSearch(const QString& pattern) const
{
return QString(SELECT_CONTACT_ID + SelectTable(pattern) +
" WHERE " + ExactMatch(pattern));
}
// It has been checked that tokens are different, but they might begin with
// the same digit.
QString CntSqlSearch::IntersectionSearch(const QString& pattern,
const QStringList& tokens) const
{
#if defined(SEARCH_FROM_ONE_TABLE)
return SearchTokensFromOneTable(pattern, tokens);
#else
/* Query for pattern = "205":
SELECT predictivesearch2.contact_id FROM predictivesearch2 WHERE EXISTS
(SELECT contact_id FROM predictivesearch5 WHERE predictivesearch2.contact_id = predictivesearch5.contact_id)
OR
(SELECT contact_id FROM predictivesearch2
WHERE(predictivesearch2.nbr>145522562959409152 AND predictivesearch2.nbr<145804037936119807) OR
(predictivesearch2.nbr2>145522562959409152 AND predictivesearch2.nbr2<145804037936119807) OR
(predictivesearch2.nbr3>145522562959409152 AND predictivesearch2.nbr3<145804037936119807) OR
(predictivesearch2.nbr4>145522562959409152 AND predictivesearch2.nbr4<145804037936119807))
ORDER BY predictivesearch2.first_name, predictivesearch2.last_name ASC;
This query works if both tokens have just one digit (e.g. "102", but not "1023")
*/
if (tokens.at(0).length() == KMinimumSearchPatternLength &&
tokens.at(1).length() == KMinimumSearchPatternLength)
{
// Case 4
QString firstTable = SelectTable(tokens.at(0));
QString secondTable = SelectTable(tokens.at(1));
QString query =
"SELECT " + firstTable + ".contact_id FROM " + firstTable +
" WHERE EXISTS (" + SELECT_CONTACT_ID + secondTable + " WHERE " +
firstTable + ".contact_id = " + secondTable + ".contact_id) OR (" +
SELECT_CONTACT_ID + firstTable + " WHERE " + ExactMatch(pattern, firstTable) + ")";
return query + Order(tokens);
}
if (tokens.at(0).at(0) == tokens.at(1).at(0) ||
tokens.at(0).length() > 1 && tokens.at(1).length() > 1)
{
// Tokens begin with same digit or both tokens are longer than one digit.
// Must search from one table.
return SearchTokensFromOneTable(pattern, tokens);
}
return CreateJoinTableSearch(pattern, tokens); // Case 5
#endif
}
// Find the exact match, or a column whose value is within
// lower..upper(exclusive) and another column whose value is within
// lower2..upper2(exclusive).
// In this case the limits are is different, so there are 12 combinations the
// two values can exist in four columns:
//
// (column = X AND column2 = Y) OR
// (column = X AND column3 = Y) OR
// (column = X AND column4 = Y) OR
// (column2 = X AND column3 = Y) OR
// (column2 = X AND column4 = Y) OR
// (column3 = X AND column4 = Y) OR
// (column = Y AND column2 = X) OR
// (column = Y AND column3 = X) OR
// (column = Y AND column4 = X) OR
// (column2 = Y AND column3 = X) OR
// (column2 = Y AND column4 = X) OR
// (column3 = Y AND column4 = X)
//
// Where X means: (value > lower-limit AND value < upper-limit)
// and Y means: (value > lower-limit-2 AND value < upper-limit-2)
QString CntSqlSearch::SearchTokensFromOneTable(const QString& pattern,
const QStringList& tokens) const
{
QString token = tokens.at(0);
QString lower = LowerLimit(token);
QString upper = UpperLimit(token);
QString lower2 = LowerLimit(tokens.at(1));
QString upper2 = UpperLimit(tokens.at(1));
QString query =
#if defined(USE_DEMORGAN)
SELECT_CONTACT_ID + SelectTable(pattern) + " WHERE NOT(NOT" +
ExactMatch(pattern) + " AND NOT" +
CompareTwoColumns(lower, upper, lower2, upper2) + " AND NOT" +
CompareTwoColumns(lower2, upper2, lower, upper) + ")";
#else
SELECT_CONTACT_ID + SelectTable(token) + " WHERE (" +
// exact match (e.g. "102")
ExactMatch(pattern) + ") OR " +
CompareTwoColumns(lower, upper, lower2, upper2) + " OR " +
CompareTwoColumns(lower2, upper2, lower, upper);
#endif
query += Order(tokens);
return query;
}
// Either an exact match is required, or tokens must be found, but not in the
// same column.
// Since tokens are identical, they have same limits, and one call to
// CompareTwoColumns() is enough.
QString CntSqlSearch::IdenticalTokensSearch(const QString& pattern,
const QStringList& tokens) const
{
QString token = tokens.at(0);
QString lower = LowerLimit(token);
QString upper = UpperLimit(token);
#if defined(USE_DEMORGAN)
QString query(SELECT_CONTACT_ID + SelectTable(pattern) + " WHERE NOT(NOT" +
ExactMatch(pattern) +
" AND NOT" + CompareTwoColumns(lower, upper, lower, upper) + ")");
#else
QString query(SELECT_CONTACT_ID + SelectTable(pattern) + " WHERE (" +
ExactMatch(pattern) + // exact match (e.g. "101")
") OR " + CompareTwoColumns(lower, upper, lower, upper));
#endif
query += Order(tokens);
return query;
}
QString CntSqlSearch::TwoDifferentTokensSearch(const QString& pattern, const QStringList& tokens) const
{
QString token = tokens.at(0);
QString sortPatern = pattern;
sortPatern.truncate(pattern.length()-1);
#if defined(USE_DEMORGAN)
QString query(SELECT_CONTACT_ID + SelectTable(pattern) + " WHERE NOT(NOT" +
ExactMatch(sortPatern) +
" AND NOT" + ExactMatch(pattern) + ")");
#else
QString query(SELECT_CONTACT_ID + SelectTable(pattern) + " WHERE (" +
ExactMatch(sortPatern) + // exact match (e.g. "2")
") OR " + ExactMatch(pattern)); // exact match (e.g. "20")
#endif
query += Order(tokens);
return query;
}
// Put individual AND / OR operations in such order that in most cases there is
// no need to evaluate all arguments of the AND / OR.
// In case of AND, put the less likely condition on the left side of AND.
// In case of OR, put the more likely condition on the left side of OR.
// Since 2nd column is more likely to be empty, compare it before 1st column.
// Since 1st & 2nd columns are more likely to contain a match, compare them
// before other column combinations (1st & 3rd, 2nd & 3rd etc)
QString CntSqlSearch::CompareTwoColumns(const QString& lower,
const QString& upper,
const QString& lower2,
const QString& upper2) const
{
#if defined(USE_DEMORGAN)
// Using De Morgan's law to replace ORs with ANDs:
// A || B || C || D || E || F --> !(!A && !B && !C && !D && !E && !F)
//
// As A (match found in columns 1 and 2) is more likely true than other
// combinations, then !A is more likely false than other combinations, so
// it is put first in the AND statement.
QString query =
"(NOT(NOT(" +
// 2nd & 1st column (='A')
KColumn2 + ">" + lower2 + " AND " + KColumn2 + "<" + upper2 + " AND " +
KColumn1 + ">" + lower + " AND " + KColumn1 + "<" + upper +
") AND NOT(" +
// 3nd & 1st column (='B')
KColumn3 + ">" + lower2 + " AND " + KColumn3 + "<" + upper2 + " AND " +
KColumn1 + ">" + lower + " AND " + KColumn1 + "<" + upper +
") AND NOT(" +
// 3rd & 2nd column (='C')
KColumn3 + ">" + lower2 + " AND " + KColumn3 + "<" + upper2 + " AND " +
KColumn2 + ">" + lower + " AND " + KColumn2 + "<" + upper +
") AND NOT(" +
// 4th & 1st column (='D')
KColumn4 + ">" + lower2 + " AND " + KColumn4 + "<" + upper2 + " AND " +
KColumn1 + ">" + lower + " AND " + KColumn1 + "<" + upper +
") AND NOT(" +
// 4th & 2nd column (='E')
KColumn4 + ">" + lower2 + " AND " + KColumn4 + "<" + upper2 + " AND " +
KColumn2 + ">" + lower + " AND " + KColumn2 + "<" + upper +
") AND NOT(" +
// 4th & 3rd column (='F')
KColumn4 + ">" + lower2 + " AND " + KColumn4 + "<" + upper2 + " AND " +
KColumn3 + ">" + lower + " AND " + KColumn3 + "<" + upper + ")))";
#else
QString query =
"(" +
// 2nd & 1st column
KColumn2 + ">" + lower2 + " AND " + KColumn2 + "<" + upper2 + " AND " +
KColumn1 + ">" + lower + " AND " + KColumn1 + "<" + upper +
") OR (" +
// 3nd & 1st column
KColumn3 + ">" + lower2 + " AND " + KColumn3 + "<" + upper2 + " AND " +
KColumn1 + ">" + lower + " AND " + KColumn1 + "<" + upper +
") OR (" +
// 3rd & 2nd column
KColumn3 + ">" + lower2 + " AND " + KColumn3 + "<" + upper2 + " AND " +
KColumn2 + ">" + lower + " AND " + KColumn2 + "<" + upper +
") OR (" +
// 4th & 1st column
KColumn4 + ">" + lower2 + " AND " + KColumn4 + "<" + upper2 + " AND " +
KColumn1 + ">" + lower + " AND " + KColumn1 + "<" + upper +
") OR (" +
// 4th & 2nd column
KColumn4 + ">" + lower2 + " AND " + KColumn4 + "<" + upper2 + " AND " +
KColumn2 + ">" + lower + " AND " + KColumn2 + "<" + upper +
") OR (" +
// 4th & 3rd column
KColumn4 + ">" + lower2 + " AND " + KColumn4 + "<" + upper2 + " AND " +
KColumn3 + ">" + lower + " AND " + KColumn3 + "<" + upper + ")";
#endif
return query;
}
QString CntSqlSearch::ExactMatch(const QString& pattern, QString table) const
{
QString lower = LowerLimit(pattern);
QString upper = UpperLimit(pattern);
if (table.length() > 0)
{
table += ".";
}
#if defined(USE_DEMORGAN)
// Using De Morgan's law to replace ORs with ANDs:
// column1 || column2 || column3 || column4
// ->
// (NOT(NOT(column1) AND NOT(column2) AND NOT(column3) AND NOT(column4))
//
// Which means:
// (NOT(NOT(N>lower && < N<upper) AND NOT(N2>lower && < N2<upper) AND
// NOT(N3>lower && < N3<upper) AND NOT(N>lower && < N<upper))
//
// As KColumn1 is most likely to contain a match, "NOT(KColumn1)" is more
// likely to be false than "NOT(KColumn2)" etc. So put KColumn1 first in the
// AND statement.
return QString("(NOT(NOT(" +
table + KColumn1 + ">" + lower + " AND " + table + KColumn1 + "<" + upper + ") AND NOT(" +
table + KColumn2 + ">" + lower + " AND " + table + KColumn2 + "<" + upper + ") AND NOT(" +
table + KColumn3 + ">" + lower + " AND " + table + KColumn3 + "<" + upper + ") AND NOT(" +
table + KColumn4 + ">" + lower + " AND " + table + KColumn4 + "<" + upper + ")))");
#else
// Since first column has always some value, and 2nd column is more likely to
// have a value than 3rd column etc. Put columns in that order:
// (column 1 comparison) OR (column 2 comparison) OR (column 3 comparison) OR
// (column 4 comparison)
// If 1st column results true, there is no need to compare other columns etc.
return QString("(" +
table + KColumn1 + ">" + lower + " AND " + table + KColumn1 + "<" + upper + ") OR (" +
table + KColumn2 + ">" + lower + " AND " + table + KColumn2 + "<" + upper + ") OR (" +
table + KColumn3 + ">" + lower + " AND " + table + KColumn3 + "<" + upper + ") OR (" +
table + KColumn4 + ">" + lower + " AND " + table + KColumn4 + "<" + upper + ")");
#endif
}
// TODO: if SEARCH_FROM_ONE_TABLE case is slower than the one that searches from
// two tables, then this function is needed for cases where pattern is:
// "1023", "12300450"
//
/* This query makes sub-query into table 5 and searches for a number that begins
with 56606. but it does not support cases where both tokens are longer than one digit.
SELECT predictivesearch5.contact_id FROM predictivesearch5 WHERE EXISTS (SELECT contact_id FROM predictivesearch5
WHERE (predictivesearch5.nbr>389005014883893248 AND predictivesearch5.nbr<389006114395521023) OR
(predictivesearch5.nbr2>389005014883893248 AND predictivesearch5.nbr2<389006114395521023) OR
(predictivesearch5.nbr3>389005014883893248 AND predictivesearch5.nbr3<389006114395521023) OR
(predictivesearch5.nbr4>389005014883893248 AND predictivesearch5.nbr4<389006114395521023))
OR
(SELECT predictivesearch5.contact_id FROM predictivesearch5 JOIN predictivesearch6 ON
predictivesearch5.contact_id = predictivesearch6.contact_id
WHERE(predictivesearch5.nbr>388998417814126592 AND predictivesearch5.nbr<389279892790837247) OR
(predictivesearch5.nbr2>388998417814126592 AND predictivesearch5.nbr2<389279892790837247) OR
(predictivesearch5.nbr3>388998417814126592 AND predictivesearch5.nbr3<389279892790837247) OR
(predictivesearch5.nbr4>388998417814126592 AND predictivesearch5.nbr4<389279892790837247))
ORDER BY predictivesearch5.first_name, predictivesearch5.last_name ASC;
SELECT contact_id
FROM
(
SELECT predictivesearch5.contact_id, predictivesearch5.first_name, predictivesearch5.last_name FROM predictivesearch5
WHERE (predictivesearch5.nbr>387415121070129152 AND predictivesearch5.nbr<387432713256173567) OR
(predictivesearch5.nbr2>387415121070129152 AND predictivesearch5.nbr2<387432713256173567) OR
(predictivesearch5.nbr3>387415121070129152 AND predictivesearch5.nbr3<387432713256173567) OR
(predictivesearch5.nbr4>387415121070129152 AND predictivesearch5.nbr4<387432713256173567)
UNION
SELECT predictivesearch5.contact_id, predictivesearch5.first_name, predictivesearch5.last_name FROM predictivesearch5 JOIN predictivesearch6 ON predictivesearch5.contact_id = predictivesearch6.contact_id
WHERE((predictivesearch5.nbr>387309567953862656 AND predictivesearch5.nbr<391813167581233151) OR (predictivesearch5.nbr2>387309567953862656 AND predictivesearch5.nbr2<391813167581233151) OR (predictivesearch5.nbr3>387309567953862656 AND predictivesearch5.nbr3<391813167581233151) OR (predictivesearch5.nbr4>387309567953862656 AND predictivesearch5.nbr4<391813167581233151)
AND
(predictivesearch6.nbr>387309567953862656 AND predictivesearch6.nbr<391813167581233151) OR (predictivesearch6.nbr2>387309567953862656 AND predictivesearch6.nbr2<391813167581233151) OR (predictivesearch6.nbr3>387309567953862656 AND predictivesearch6.nbr3<391813167581233151) OR (predictivesearch6.nbr4>387309567953862656 AND predictivesearch6.nbr4<391813167581233151))
) AS PR
ORDER BY PR.first_name, PR.last_name ASC;
Here is a De Morgan version
SELECT contact_id
FROM
(
SELECT predictivesearch5.contact_id, predictivesearch5.first_name, predictivesearch5.last_name FROM predictivesearch5
WHERE NOT((NOT (predictivesearch5.nbr >= 387415121070129152 AND predictivesearch5.nbr <= 387432713256173567)) AND (NOT (predictivesearch5.nbr2 >= 387415121070129152 AND predictivesearch5.nbr2 <= 387432713256173567)) AND (NOT (predictivesearch5.nbr3 >= 387415121070129152 AND predictivesearch5.nbr3 <= 387432713256173567)) AND (NOT (predictivesearch5.nbr4 >= 387415121070129152 AND predictivesearch5.nbr4 <= 387432713256173567)))
UNION
SELECT predictivesearch5.contact_id, predictivesearch5.first_name, predictivesearch5.last_name FROM predictivesearch5 JOIN predictivesearch6 ON predictivesearch5.contact_id = predictivesearch6.contact_id
WHERE NOT((NOT (predictivesearch5.nbr >= 387309567953862656 AND predictivesearch5.nbr <= 391813167581233151)) AND (NOT (predictivesearch5.nbr2 >= 387309567953862656 AND predictivesearch5.nbr2 <= 391813167581233151)) AND (NOT (predictivesearch5.nbr3 >= 387309567953862656 AND predictivesearch5.nbr3 <= 391813167581233151)) AND (NOT (predictivesearch5.nbr4 >= 387309567953862656 AND predictivesearch5.nbr4 <= 391813167581233151)))
AND
NOT((NOT (predictivesearch6.nbr >= 387309567953862656 AND predictivesearch6.nbr <= 391813167581233151)) AND (NOT (predictivesearch6.nbr2 >= 387309567953862656 AND predictivesearch6.nbr2 <= 391813167581233151)) AND (NOT (predictivesearch6.nbr3 >= 387309567953862656 AND predictivesearch6.nbr3 <= 391813167581233151)) AND (NOT (predictivesearch6.nbr4 >= 387309567953862656 AND predictivesearch6.nbr4 <= 391813167581233151)))
) AS PR
ORDER BY PR.first_name, PR.last_name ASC;
*/
QString CntSqlSearch::CreateJoinTableSearch(QString pattern, QStringList numbers) const
{
// It has been checked earlier that tables are not same
QString firstTable = SelectTable(numbers.at(0));
QString secondTable = SelectTable(numbers.at(1));
QString queryString = QString("SELECT contact_id FROM (SELECT "
+ firstTable + ".contact_id, " + firstTable + ".first_name, " + firstTable + ".last_name FROM " + firstTable +
" WHERE " + ExactMatch(pattern, firstTable) +
" UNION SELECT " + firstTable + ".contact_id, " + firstTable + ".first_name, " + firstTable + ".last_name FROM " + firstTable + " JOIN " + secondTable + " ON " + firstTable + ".contact_id = " + secondTable + ".contact_id WHERE" +
ExactMatchColumns(numbers) + ") AS PR ORDER BY PR.first_name, PR.last_name ASC;");
return queryString;
}
QString CntSqlSearch::ExactMatchColumns(QStringList numbers) const
{
const int KFirstColumn = 0;
const int KSecondColumn = 1;
QString firstColumn = numbers.at(KFirstColumn);
QString secondColumn = numbers.at(KSecondColumn);
if( firstColumn.count() > 1 && secondColumn.count() > 1)
{
return "(" + ExactMatch(numbers.at(KFirstColumn), SelectTable(numbers.at(KFirstColumn)))
+ " AND " +
ExactMatch(numbers.at(KSecondColumn), SelectTable(numbers.at(KSecondColumn))) + ")";
}
else if(firstColumn.count() > 1)
{
return ExactMatch(numbers.at(KFirstColumn), SelectTable(numbers.at(KFirstColumn)));
}
else
{
return ExactMatch(numbers.at(KSecondColumn), SelectTable(numbers.at(KSecondColumn)));
}
}
QString CntSqlSearch::Order(QStringList tokens) const
{
if (tokens.count() > 1 )
{
QString table = SelectTable(tokens.at(0));
return QString(" ORDER BY " + table + ".first_name, " + table + ".last_name ASC;");
}
return QString(ORDER_BY_FIRSTNAME_LASTNAME);
}
QString CntSqlSearch::ChangeStringPadings( const QString &pattern ) const
{
QString newPattern = pattern;
if (QLocale::system().language() == QLocale::Thai)
{
newPattern.remove(KStarChar, Qt::CaseInsensitive);
newPattern.remove(KPlusChar, Qt::CaseInsensitive);
newPattern.remove(KPChar, Qt::CaseInsensitive);
newPattern.remove(KWChar, Qt::CaseInsensitive);
newPattern.remove(KHashChar, Qt::CaseInsensitive);
}
else
{
newPattern.replace(KStarChar, 'A');
newPattern.replace(KPlusChar, 'A');
newPattern.replace(KPChar, 'A');
newPattern.replace(KWChar, 'A');
newPattern.replace(KHashChar, 'B');
}
return newPattern;
}
bool CntSqlSearch::TestPattern( const QString &pattern, SearchMethod searchMethod ) const
{
QStringList tokens = GetTokens(pattern);
if (!tokens.isEmpty() && !pattern.isEmpty())
{
if (CntSqlSearch::ZerosEndOfFirstToken == searchMethod)
{
if( tokens.count() == KOneToken && !tokens.at(0).contains("0")
&& !pattern.startsWith('0') && pattern.count('0') == 1
&& pattern.endsWith('0'))
{
return true;
}
}
}
return false;
}
QString CntSqlSearch::Pad( const QString &pattern, char padChar ) const
{
int padCount = KLimitLength - pattern.length();
QString result;
if ( padCount < 0 )
{
result = pattern.left(KLimitLength);
}
else
{
result = pattern;
for( int i = 0; i < padCount ;i++ )
{
result.append(padChar);
}
}
bool ok;
// Use signed int to prevent underflow when replaced is "00...00"
qint64 value = result.toLongLong(&ok, KHexadecimalBase);
if (!ok)
{
// TODO: handle error (=invalid characters in pattern)
}
// In order to write queries using '>' and '<' instead of '>=' and '<=',
// expand the limit by one.
if (padChar == KUpperLimitPadding)
{
++value;
}
else
{
--value;
}
return QString::number(value, 10);
}
QString CntSqlSearch::UpperLimit( const QString &pattern ) const
{
return Pad( pattern, KUpperLimitPadding );
}
QString CntSqlSearch::LowerLimit( const QString &pattern ) const
{
return Pad( pattern, KLowerLimitPadding );
}