mirror of
https://github.com/42wim/matterbridge
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137 lines
3.6 KiB
Go
137 lines
3.6 KiB
Go
// Package chardet ports character set detection from ICU.
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package chardet
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import (
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"errors"
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"sort"
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)
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// Result contains all the information that charset detector gives.
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type Result struct {
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// IANA name of the detected charset.
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Charset string
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// IANA name of the detected language. It may be empty for some charsets.
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Language string
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// Confidence of the Result. Scale from 1 to 100. The bigger, the more confident.
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Confidence int
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}
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// Detector implements charset detection.
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type Detector struct {
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recognizers []recognizer
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stripTag bool
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}
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// List of charset recognizers
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var recognizers = []recognizer{
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newRecognizer_utf8(),
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newRecognizer_utf16be(),
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newRecognizer_utf16le(),
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newRecognizer_utf32be(),
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newRecognizer_utf32le(),
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newRecognizer_8859_1_en(),
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newRecognizer_8859_1_da(),
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newRecognizer_8859_1_de(),
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newRecognizer_8859_1_es(),
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newRecognizer_8859_1_fr(),
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newRecognizer_8859_1_it(),
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newRecognizer_8859_1_nl(),
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newRecognizer_8859_1_no(),
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newRecognizer_8859_1_pt(),
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newRecognizer_8859_1_sv(),
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newRecognizer_8859_2_cs(),
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newRecognizer_8859_2_hu(),
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newRecognizer_8859_2_pl(),
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newRecognizer_8859_2_ro(),
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newRecognizer_8859_5_ru(),
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newRecognizer_8859_6_ar(),
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newRecognizer_8859_7_el(),
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newRecognizer_8859_8_I_he(),
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newRecognizer_8859_8_he(),
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newRecognizer_windows_1251(),
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newRecognizer_windows_1256(),
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newRecognizer_KOI8_R(),
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newRecognizer_8859_9_tr(),
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newRecognizer_sjis(),
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newRecognizer_gb_18030(),
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newRecognizer_euc_jp(),
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newRecognizer_euc_kr(),
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newRecognizer_big5(),
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newRecognizer_2022JP(),
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newRecognizer_2022KR(),
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newRecognizer_2022CN(),
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newRecognizer_IBM424_he_rtl(),
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newRecognizer_IBM424_he_ltr(),
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newRecognizer_IBM420_ar_rtl(),
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newRecognizer_IBM420_ar_ltr(),
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}
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// NewTextDetector creates a Detector for plain text.
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func NewTextDetector() *Detector {
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return &Detector{recognizers, false}
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}
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// NewHtmlDetector creates a Detector for Html.
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func NewHtmlDetector() *Detector {
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return &Detector{recognizers, true}
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}
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var (
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NotDetectedError = errors.New("Charset not detected.")
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)
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// DetectBest returns the Result with highest Confidence.
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func (d *Detector) DetectBest(b []byte) (r *Result, err error) {
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var all []Result
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if all, err = d.DetectAll(b); err == nil {
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r = &all[0]
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}
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return
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}
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// DetectAll returns all Results which have non-zero Confidence. The Results are sorted by Confidence in descending order.
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func (d *Detector) DetectAll(b []byte) ([]Result, error) {
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input := newRecognizerInput(b, d.stripTag)
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outputChan := make(chan recognizerOutput)
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for _, r := range d.recognizers {
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go matchHelper(r, input, outputChan)
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}
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outputs := make([]recognizerOutput, 0, len(d.recognizers))
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for i := 0; i < len(d.recognizers); i++ {
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o := <-outputChan
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if o.Confidence > 0 {
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outputs = append(outputs, o)
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}
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}
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if len(outputs) == 0 {
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return nil, NotDetectedError
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}
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sort.Sort(recognizerOutputs(outputs))
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dedupOutputs := make([]Result, 0, len(outputs))
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foundCharsets := make(map[string]struct{}, len(outputs))
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for _, o := range outputs {
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if _, found := foundCharsets[o.Charset]; !found {
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dedupOutputs = append(dedupOutputs, Result(o))
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foundCharsets[o.Charset] = struct{}{}
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}
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}
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if len(dedupOutputs) == 0 {
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return nil, NotDetectedError
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}
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return dedupOutputs, nil
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}
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func matchHelper(r recognizer, input *recognizerInput, outputChan chan<- recognizerOutput) {
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outputChan <- r.Match(input)
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}
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type recognizerOutputs []recognizerOutput
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func (r recognizerOutputs) Len() int { return len(r) }
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func (r recognizerOutputs) Less(i, j int) bool { return r[i].Confidence > r[j].Confidence }
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func (r recognizerOutputs) Swap(i, j int) { r[i], r[j] = r[j], r[i] }
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