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mirror of https://github.com/vcmi/vcmi.git synced 2024-12-24 22:14:36 +02:00

Implemented automatic detection of H3 files language/encoding

This commit is contained in:
Ivan Savenko 2023-01-09 00:24:11 +02:00
parent 4fb5548475
commit bec894c348
4 changed files with 89 additions and 2 deletions

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@ -37,7 +37,7 @@
},
"encoding" : {
"type" : "string",
"default" : "CP1252"
"default" : "auto"
},
"swipe" : {
"type" : "boolean",

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@ -33,6 +33,8 @@ QString resolutionToString(const QSize & resolution)
/// Note that it is possible to specify enconding manually in settings.json
static const std::string knownEncodingsList[] = //TODO: remove hardcode
{
// Asks vcmi to automatically detect encoding
"auto",
// European Windows-125X encodings
"CP1250", // West European, covers mostly Slavic languages that use latin script
"CP1251", // Covers languages that use cyrillic scrypt

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@ -526,6 +526,11 @@
</item>
<item row="10" column="7" colspan="3">
<widget class="QComboBox" name="comboBoxEncoding">
<item>
<property name="text">
<string>Automatic detection</string>
</property>
</item>
<item>
<property name="text">
<string>Central European (Windows 1250)</string>

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@ -106,7 +106,84 @@ bool Unicode::isValidString(const char * data, size_t size)
static std::string getSelectedEncoding()
{
return settings["general"]["encoding"].String();
auto explicitSetting = settings["general"]["encoding"].String();
if (explicitSetting != "auto")
return explicitSetting;
return settings["session"]["encoding"].String();
}
/// Detects encoding of H3 text files based on matching against pregenerated footprints of H3 file
/// Can also detect language of H3 install, however right now this is not necessary
static void detectEncoding()
{
static const size_t knownCount = 6;
// "footprints" of data collected from known versions of H3
static const std::array<std::array<double, 16>, knownCount> knownFootprints =
{ {
{ { 0.0559, 0.0000, 0.1983, 0.0051, 0.0222, 0.0183, 0.4596, 0.2405, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000 } },
{ { 0.0493, 0.0000, 0.1926, 0.0047, 0.0230, 0.0121, 0.4133, 0.2780, 0.0002, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0259, 0.0008 } },
{ { 0.0534, 0.0000, 0.1705, 0.0047, 0.0418, 0.0208, 0.4775, 0.2191, 0.0001, 0.0000, 0.0000, 0.0000, 0.0000, 0.0005, 0.0036, 0.0080 } },
{ { 0.0534, 0.0000, 0.1701, 0.0067, 0.0157, 0.0133, 0.4328, 0.2540, 0.0001, 0.0043, 0.0000, 0.0244, 0.0000, 0.0000, 0.0181, 0.0071 } },
{ { 0.0548, 0.0000, 0.1744, 0.0061, 0.0031, 0.0009, 0.0046, 0.0136, 0.0000, 0.0004, 0.0000, 0.0000, 0.0227, 0.0061, 0.4882, 0.2252 } },
{ { 0.0559, 0.0000, 0.1807, 0.0059, 0.0036, 0.0013, 0.0046, 0.0134, 0.0000, 0.0004, 0.0000, 0.0487, 0.0209, 0.0060, 0.4615, 0.1972 } }
} };
// languages of known footprints
static const std::array<std::string, knownCount> knownLanguages =
{ {
"English", "French", "German", "Polish", "Russian", "Ukrainian"
} };
// encoding that should be used for known footprints
static const std::array<std::string, knownCount> knownEncodings =
{ {
"CP1252", "CP1252", "CP1252", "CP1250", "CP1251", "CP1251"
} };
// load file that will be used for footprint generation
// this is one of the most text-heavy files in game and consists solely from translated texts
auto resource = CResourceHandler::get()->load(ResourceID("DATA/GENRLTXT.TXT", EResType::TEXT));
std::array<size_t, 256> charCount;
std::array<double, 16> footprint;
std::array<double, knownCount> deviations;
boost::range::fill(charCount, 0);
boost::range::fill(footprint, 0.0);
boost::range::fill(deviations, 0.0);
auto data = resource->readAll();
// compute how often each character occurs in input file
for (size_t i = 0; i < data.second; ++i)
charCount[data.first[i]] += 1;
// and convert computed data into weights
// to reduce amount of data, group footprint data into 16-char blocks.
// While this will reduce precision, it should not affect output
// since we expect only tiny differences compared to reference footprints
for (size_t i = 0; i < 256; ++i)
footprint[i/16] += double(charCount[i]) / data.second;
logGlobal->debug("Language footprint: %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f",
footprint[0], footprint[1], footprint[2], footprint[3], footprint[4], footprint[5], footprint[6], footprint[7],
footprint[8], footprint[9], footprint[10], footprint[11], footprint[12], footprint[13], footprint[14], footprint[15]
);
for (size_t i = 0; i < deviations.size(); ++i)
{
for (size_t j = 0; j < footprint.size(); ++j)
deviations[i] += std::abs((footprint[j] - knownFootprints[i][j]));
}
size_t bestIndex = boost::range::min_element(deviations) - deviations.begin();
for (size_t i = 0; i < deviations.size(); ++i)
logGlobal->debug("Comparing to %s: %f", knownLanguages[i], deviations[i]);
Settings s = settings.write["session"]["encoding"];
s->String() = knownEncodings[bestIndex];
}
std::string Unicode::toUnicode(const std::string &text)
@ -364,6 +441,9 @@ CGeneralTextHandler::CGeneralTextHandler():
znpc00 (*this, "vcmi.znpc00" ), // technically - wog
qeModCommands (*this, "vcmi.quickExchange" )
{
if (getSelectedEncoding().empty())
detectEncoding();
readToVector("core.vcdesc", "DATA/VCDESC.TXT" );
readToVector("core.lcdesc", "DATA/LCDESC.TXT" );
readToVector("core.tcommand", "DATA/TCOMMAND.TXT" );