mirror of https://github.com/velour/catbase.git
tldr: use gpt
This commit is contained in:
Chris Sexton
parent
494c9e87d6
commit
1a066ce979
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@ -1,8 +1,14 @@
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package tldr
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import (
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"bytes"
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"context"
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"fmt"
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"github.com/andrewstuart/openai"
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"github.com/velour/catbase/config"
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"regexp"
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"strings"
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"text/template"
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"time"
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"github.com/velour/catbase/bot"
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@ -14,7 +20,8 @@ import (
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)
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type TLDRPlugin struct {
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bot bot.Bot
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b bot.Bot
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c *config.Config
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history []history
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index int
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lastRequest time.Time
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@ -28,100 +35,52 @@ type history struct {
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func New(b bot.Bot) *TLDRPlugin {
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plugin := &TLDRPlugin{
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bot: b,
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b: b,
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c: b.Config(),
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history: []history{},
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index: 0,
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lastRequest: time.Now().Add(-24 * time.Hour),
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}
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b.Register(plugin, bot.Message, plugin.message)
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b.Register(plugin, bot.Help, plugin.help)
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plugin.register()
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return plugin
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}
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func (p *TLDRPlugin) message(c bot.Connector, kind bot.Kind, message msg.Message, args ...any) bool {
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timeLimit := time.Duration(p.bot.Config().GetInt("TLDR.HourLimit", 1))
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lowercaseMessage := strings.ToLower(message.Body)
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if lowercaseMessage == "tl;dr" && p.lastRequest.After(time.Now().Add(-timeLimit*time.Hour)) {
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p.bot.Send(c, bot.Message, message.Channel, "Slow down, cowboy. Read that tiny backlog.")
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return true
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} else if lowercaseMessage == "tl;dr" {
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p.lastRequest = time.Now()
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nTopics := p.bot.Config().GetInt("TLDR.Topics", 5)
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stopWordSlice := p.bot.Config().GetArray("TLDR.StopWords", []string{})
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if len(stopWordSlice) == 0 {
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stopWordSlice = THESE_ARE_NOT_THE_WORDS_YOU_ARE_LOOKING_FOR
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p.bot.Config().SetArray("TLDR.StopWords", stopWordSlice)
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}
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vectoriser := nlp.NewCountVectoriser(stopWordSlice...)
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lda := nlp.NewLatentDirichletAllocation(nTopics)
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pipeline := nlp.NewPipeline(vectoriser, lda)
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docsOverTopics, err := pipeline.FitTransform(p.getTopics()...)
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if err != nil {
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log.Error().Err(err)
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return false
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}
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bestScores := make([][]float64, nTopics)
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bestDocs := make([][]history, nTopics)
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supportingDocs := p.bot.Config().GetInt("TLDR.Support", 3)
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for i := 0; i < nTopics; i++ {
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bestScores[i] = make([]float64, supportingDocs)
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bestDocs[i] = make([]history, supportingDocs)
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}
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dr, dc := docsOverTopics.Dims()
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for topic := 0; topic < dr; topic++ {
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minScore, minIndex := min(bestScores[topic])
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for doc := 0; doc < dc; doc++ {
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score := docsOverTopics.At(topic, doc)
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if score > minScore {
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bestScores[topic][minIndex] = score
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bestDocs[topic][minIndex] = p.history[doc]
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minScore, minIndex = min(bestScores[topic])
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}
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}
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}
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topicsOverWords := lda.Components()
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tr, tc := topicsOverWords.Dims()
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vocab := make([]string, len(vectoriser.Vocabulary))
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for k, v := range vectoriser.Vocabulary {
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vocab[v] = k
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}
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response := "Here you go captain 'too good to read backlog':\n"
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for topic := 0; topic < tr; topic++ {
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bestScore := -1.
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bestTopic := ""
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for word := 0; word < tc; word++ {
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score := topicsOverWords.At(topic, word)
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if score > bestScore {
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bestScore = score
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bestTopic = vocab[word]
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}
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}
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response += fmt.Sprintf("\n*Topic #%d: %s*\n", topic, bestTopic)
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for i := range bestDocs[topic] {
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response += fmt.Sprintf("<%s>%s\n", bestDocs[topic][i].user, bestDocs[topic][i].body)
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}
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}
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p.bot.Send(c, bot.Message, message.Channel, response)
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func (p *TLDRPlugin) register() {
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p.b.RegisterTable(p, bot.HandlerTable{
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{
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Kind: bot.Message, IsCmd: true,
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Regex: regexp.MustCompile(`old tl;dr`),
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HelpText: "Get a rather inaccurate summary of the channel",
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Handler: p.tldrCmd,
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},
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{
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Kind: bot.Message, IsCmd: true,
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Regex: regexp.MustCompile(`tl;dr`),
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HelpText: "Get a summary of the channel",
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Handler: p.betterTLDR,
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},
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{
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Kind: bot.Message, IsCmd: false,
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Regex: regexp.MustCompile(`.*`),
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Handler: p.record,
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},
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})
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p.b.Register(p, bot.Help, p.help)
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}
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func (p *TLDRPlugin) tldrCmd(r bot.Request) bool {
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timeLimit := time.Duration(p.b.Config().GetInt("TLDR.HourLimit", 1))
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if p.lastRequest.After(time.Now().Add(-timeLimit * time.Hour)) {
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p.b.Send(r.Conn, bot.Message, r.Msg.Channel, "Slow down, cowboy. Read that tiny backlog.")
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return true
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}
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return false
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}
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func (p *TLDRPlugin) record(r bot.Request) bool {
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hist := history{
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body: lowercaseMessage,
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user: message.User.Name,
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body: strings.ToLower(r.Msg.Body),
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user: r.Msg.User.Name,
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timestamp: time.Now(),
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}
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p.addHistory(hist)
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@ -129,11 +88,86 @@ func (p *TLDRPlugin) message(c bot.Connector, kind bot.Kind, message msg.Message
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return false
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}
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func (p *TLDRPlugin) oldTLDR(r bot.Request) bool {
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p.lastRequest = time.Now()
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nTopics := p.b.Config().GetInt("TLDR.Topics", 5)
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stopWordSlice := p.b.Config().GetArray("TLDR.StopWords", []string{})
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if len(stopWordSlice) == 0 {
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stopWordSlice = THESE_ARE_NOT_THE_WORDS_YOU_ARE_LOOKING_FOR
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p.b.Config().SetArray("TLDR.StopWords", stopWordSlice)
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}
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vectoriser := nlp.NewCountVectoriser(stopWordSlice...)
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lda := nlp.NewLatentDirichletAllocation(nTopics)
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pipeline := nlp.NewPipeline(vectoriser, lda)
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docsOverTopics, err := pipeline.FitTransform(p.getTopics()...)
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if err != nil {
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log.Error().Err(err)
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return false
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}
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bestScores := make([][]float64, nTopics)
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bestDocs := make([][]history, nTopics)
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supportingDocs := p.b.Config().GetInt("TLDR.Support", 3)
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for i := 0; i < nTopics; i++ {
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bestScores[i] = make([]float64, supportingDocs)
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bestDocs[i] = make([]history, supportingDocs)
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}
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dr, dc := docsOverTopics.Dims()
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for topic := 0; topic < dr; topic++ {
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minScore, minIndex := min(bestScores[topic])
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for doc := 0; doc < dc; doc++ {
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score := docsOverTopics.At(topic, doc)
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if score > minScore {
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bestScores[topic][minIndex] = score
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bestDocs[topic][minIndex] = p.history[doc]
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minScore, minIndex = min(bestScores[topic])
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}
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}
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}
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topicsOverWords := lda.Components()
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tr, tc := topicsOverWords.Dims()
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vocab := make([]string, len(vectoriser.Vocabulary))
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for k, v := range vectoriser.Vocabulary {
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vocab[v] = k
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}
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response := "Here you go captain 'too good to read backlog':\n"
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for topic := 0; topic < tr; topic++ {
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bestScore := -1.
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bestTopic := ""
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for word := 0; word < tc; word++ {
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score := topicsOverWords.At(topic, word)
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if score > bestScore {
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bestScore = score
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bestTopic = vocab[word]
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}
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}
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response += fmt.Sprintf("\n*Topic #%d: %s*\n", topic, bestTopic)
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for i := range bestDocs[topic] {
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response += fmt.Sprintf("<%s>%s\n", bestDocs[topic][i].user, bestDocs[topic][i].body)
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}
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}
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p.b.Send(r.Conn, bot.Message, r.Msg.Channel, response)
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return true
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}
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func (p *TLDRPlugin) addHistory(hist history) {
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p.history = append(p.history, hist)
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sz := len(p.history)
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max := p.bot.Config().GetInt("TLDR.HistorySize", 1000)
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keepHrs := time.Duration(p.bot.Config().GetInt("TLDR.KeepHours", 24))
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max := p.b.Config().GetInt("TLDR.HistorySize", 1000)
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keepHrs := time.Duration(p.b.Config().GetInt("TLDR.KeepHours", 24))
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// Clamp the size of the history
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if sz > max {
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p.history = p.history[len(p.history)-max:]
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@ -163,7 +197,7 @@ func (p *TLDRPlugin) getTopics() []string {
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// Help responds to help requests. Every plugin must implement a help function.
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func (p *TLDRPlugin) help(c bot.Connector, kind bot.Kind, message msg.Message, args ...any) bool {
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p.bot.Send(c, bot.Message, message.Channel, "tl;dr")
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p.b.Send(c, bot.Message, message.Channel, "tl;dr")
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return true
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}
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@ -178,3 +212,41 @@ func min(slice []float64) (float64, int) {
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}
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return minVal, minIndex
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}
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func (p *TLDRPlugin) betterTLDR(r bot.Request) bool {
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c, err := p.getClient()
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if err != nil {
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p.b.Send(r.Conn, bot.Message, r.Msg.Channel, "Couldn't fetch an OpenAI client")
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return true
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}
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promptConfig := p.c.Get("tldr.prompttemplate", "Summarize the following conversation:\n")
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promptTpl := template.Must(template.New("gptprompt").Parse(promptConfig))
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prompt := bytes.Buffer{}
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data := p.c.GetMap("tldr.promptdata", map[string]string{})
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promptTpl.Execute(&prompt, data)
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backlog := ""
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for _, h := range p.history {
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backlog += fmt.Sprintf("%s: %s\n", h.user, h.body)
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}
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sess := c.NewChatSession(prompt.String())
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completion, err := sess.Complete(context.TODO(), backlog)
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if err != nil {
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p.b.Send(r.Conn, bot.Message, r.Msg.Channel, "Couldn't run the OpenAI request")
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return true
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}
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log.Debug().
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Str("prompt", prompt.String()).
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Str("backlog", backlog).
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Str("completion", completion).
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Msgf("tl;dr")
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p.b.Send(r.Conn, bot.Message, r.Msg.Channel, completion)
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return true
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}
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func (p *TLDRPlugin) getClient() (*openai.Client, error) {
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token := p.c.Get("gpt.token", "")
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if token == "" {
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return nil, fmt.Errorf("no GPT token given")
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}
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return openai.NewClient(token)
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}
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@ -68,8 +68,8 @@ func TestDoubleUp(t *testing.T) {
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func TestAddHistoryLimitsMessages(t *testing.T) {
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c, _ := setup(t)
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max := 1000
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c.bot.Config().Set("TLDR.HistorySize", strconv.Itoa(max))
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c.bot.Config().Set("TLDR.KeepHours", "24")
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c.b.Config().Set("TLDR.HistorySize", strconv.Itoa(max))
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c.b.Config().Set("TLDR.KeepHours", "24")
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t0 := time.Now().Add(-24 * time.Hour)
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for i := 0; i < max*2; i++ {
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hist := history{
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@ -86,8 +86,8 @@ func TestAddHistoryLimitsDays(t *testing.T) {
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c, _ := setup(t)
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hrs := 24
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expected := 24
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c.bot.Config().Set("TLDR.HistorySize", "100")
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c.bot.Config().Set("TLDR.KeepHours", strconv.Itoa(hrs))
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c.b.Config().Set("TLDR.HistorySize", "100")
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c.b.Config().Set("TLDR.KeepHours", strconv.Itoa(hrs))
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t0 := time.Now().Add(-time.Duration(hrs*2) * time.Hour)
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for i := 0; i < 48; i++ {
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hist := history{
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