/
markov.go
136 lines (115 loc) · 3.44 KB
/
markov.go
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package markov
import (
"encoding/json"
"github.com/mb-14/gomarkov"
"github.com/TwinProduction/go-away"
log "github.com/sirupsen/logrus"
"regexp"
"strings"
chatbrains "github.com/MattChubb/chatbrains"
)
type Brain struct {
chain *gomarkov.Chain
lengthLimit int
}
type brainJSON struct {
Chain *gomarkov.Chain
LengthLimit int
}
func (brain Brain) MarshalJSON() ([]byte, error) {
log.Info("Saving chain...")
obj := brainJSON{
brain.chain,
brain.lengthLimit,
}
return json.Marshal(obj)
}
func (brain *Brain) UnmarshalJSON(b []byte) error {
var obj brainJSON
err := json.Unmarshal(b, &obj)
if err != nil {
return err
}
brain.lengthLimit = obj.LengthLimit
brain.chain = obj.Chain
log.Debug("Braindump: ", brain)
return nil
}
func (brain *Brain) Init(order int, lengthLimit int) {
brain.chain = gomarkov.NewChain(order)
brain.lengthLimit = lengthLimit
log.Debug("Braindump: ", brain)
}
func (brain *Brain) Train(data string) error {
log.Debug("Braindump: ", brain)
log.Debug("Training data: ", data)
processedData := chatbrains.ProcessString(data)
log.Debug("Processed into: ", processedData)
brain.chain.Add(processedData)
return nil
}
func (brain *Brain) Generate(prompt string) (string, error) {
log.Debug("Input: ", prompt)
processedPrompt := chatbrains.ProcessString(prompt)
log.Debug("Processed into: ", processedPrompt)
subject := []string{}
if len(processedPrompt) > 0 {
subject = chatbrains.ExtractSubject(processedPrompt, brain.chain.Order)
}
//TODO Any other clever Markov hacks?
sentence := brain.generateSentence(subject)
sentence[0] = strings.Title(sentence[0])
return strings.Join(sentence, ""), nil
}
func (brain *Brain) generateSentence(init []string) []string {
log.Debug("Input: ", init)
order := brain.chain.Order
tokens := GenerateInitialToken(init, order)
log.Debug("Initial token: ", tokens)
for tokens[len(tokens)-1] != gomarkov.EndToken &&
len(tokens) < brain.lengthLimit {
next := GenerateNextToken(brain.chain, tokens)
tokens = append(tokens, next)
}
//Don't include the start or end token in our response
return TrimTokens(tokens)
}
//Exported so that DoubleMarkov can also use it
//It could also go in brain, but it's markov-specific
func GenerateInitialToken(init []string, order int) []string {
tokens := []string{}
// The length of our initialisation chain needs to match the Markov order
if len(init) < order {
for i := 0; i < order - len(init) ; i++ {
tokens = append(tokens, gomarkov.StartToken)
}
tokens = append(tokens, init...)
} else if len(init) > order {
tokens = init[:order]
} else {
tokens = init
}
return tokens
}
func TrimTokens(tokens []string) []string {
tokens = tokens[:len(tokens)-1]
for tokens[0] == gomarkov.StartToken {
tokens = tokens[1:]
}
return tokens
}
func GenerateNextToken(chain *gomarkov.Chain, tokens []string) string {
next, err := chain.Generate(tokens[(len(tokens) - chain.Order):])
if err != nil {
errormsg := err.Error()
if match, _ := regexp.Match(`Unknown ngram.*`, []byte(errormsg)); !match {
log.Fatal("Error generating from Markov chain: ", errormsg)
}
}
//TODO Implement a replacement wordfilter instead of just removing profanity
if len(next) > 0 && ! goaway.IsProfane(next) {
return next
} else {
return gomarkov.EndToken
}
}