mirror of https://github.com/velour/catbase.git
185 lines
4.4 KiB
Go
185 lines
4.4 KiB
Go
package tldr
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import (
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"fmt"
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"strings"
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"time"
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"github.com/velour/catbase/bot"
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"github.com/velour/catbase/bot/msg"
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"github.com/rs/zerolog/log"
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"github.com/james-bowman/nlp"
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)
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type TLDRPlugin struct {
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bot bot.Bot
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history []history
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index int
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lastRequest time.Time
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}
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type history struct {
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timestamp time.Time
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user string
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body string
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}
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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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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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return plugin
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}
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func (p *TLDRPlugin) message(kind bot.Kind, message msg.Message, args ...interface{}) 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(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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vectoriser := nlp.NewCountVectoriser(THESE_ARE_NOT_THE_WORDS_YOU_ARE_LOOKING_FOR...)
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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(bot.Message, message.Channel, response)
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return true
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}
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if shouldKeepMessage(lowercaseMessage) {
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currentHistorySize := len(p.history)
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maxHistorySize := p.bot.Config().GetInt("TLDR.HistorySize", 1000)
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hist := history{
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body: lowercaseMessage,
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user: message.User.Name,
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timestamp: time.Now(),
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}
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if currentHistorySize < maxHistorySize {
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p.history = append(p.history, hist)
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p.index = 0
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} else {
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if currentHistorySize > maxHistorySize {
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// We could resize this but we want to prune the oldest stuff, and
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// I don't care to do this correctly so might as well not do it at all
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}
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if p.index >= currentHistorySize {
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p.index = 0
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}
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p.history[p.index] = hist
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p.index++
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}
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}
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return false
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}
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func (p *TLDRPlugin) getTopics() []string {
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hist := []string{}
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for _, h := range p.history {
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hist = append(hist, h.body)
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}
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return hist
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}
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func (p *TLDRPlugin) pruneHistory() {
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out := []history{}
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yesterday := time.Now().Add(-24 * time.Hour)
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for _, h := range p.history {
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if yesterday.Before(h.timestamp) {
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out = append(out, h)
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}
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}
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p.history = out
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p.index = len(out)
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}
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// Help responds to help requests. Every plugin must implement a help function.
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func (p *TLDRPlugin) help(kind bot.Kind, message msg.Message, args ...interface{}) bool {
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p.bot.Send(bot.Message, message.Channel, "tl;dr")
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return true
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}
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func shouldKeepMessage(message string) bool {
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return true
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}
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func min(slice []float64) (float64, int) {
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minVal := 1.
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minIndex := -1
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for index, val := range slice {
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if val < minVal {
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minVal = val
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minIndex = index
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}
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}
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return minVal, minIndex
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}
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