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api.go
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api.go
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package ling
import (
"fmt"
)
// A Pipeline contains configured annotators and taggers for nl processing
type Pipeline struct {
Annotators []string
taggers []Processor
}
// AddTagger adds a new processor t to Pipeline p
func (p *Pipeline) AddTagger(t Processor) error {
if t == nil {
return fmt.Errorf("cannot add nil tagger")
}
p.taggers = append(p.taggers, t)
return nil
}
// Annotate tags the Document by each configured processors and taggers
func (p *Pipeline) Annotate(d *Document) error {
err := Processors["_"].Process(d)
if err != nil {
return err
}
for _, anno := range p.Annotators {
if err = Processors[anno].Process(d); err != nil {
return err
}
}
for _, tagger := range p.taggers {
if err = tagger.Process(d); err != nil {
return err
}
}
return nil
}
// AnnotatePro tags the Document by each configured processors and taggers
func (p *Pipeline) AnnotatePro(d *Document, taggers ...Processor) error {
err := Processors["_"].Process(d)
if err != nil {
return err
}
for _, anno := range p.Annotators {
if err = Processors[anno].Process(d); err != nil {
return err
}
}
for _, tagger := range p.taggers {
if err = tagger.Process(d); err != nil {
return err
}
}
for _, tagger := range taggers {
if err = tagger.Process(d); err != nil {
return err
}
}
return nil
}
// NLP returns ling handler with the annotators
func NLP(annotators ...string) (*Pipeline, error) {
for _, anno := range annotators {
if Processors[anno] == nil {
return nil, fmt.Errorf("Processor %s doesn't exists", anno)
}
}
return &Pipeline{Annotators: annotators}, nil
}
// DefaultNLP returns ling handler with norm, lemma, unidecode and regex
func DefaultNLP() (*Pipeline, error) {
return NLP("norm", "lemma", "unidecode", "regex")
}
// MustNLP is like NLP but panics if the annotators are not correct. It
// simplifies safe initialization of global variables holding ling handler
func MustNLP(annotators ...string) *Pipeline {
p, err := NLP(annotators...)
if err != nil {
panic(err)
}
return p
}