diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..234a2cd --- /dev/null +++ b/.gitignore @@ -0,0 +1,26 @@ +# Ignore all +* + +# Unignore all with extensions +!*.* +!**/Dockerfile +!**/Makefile + +# Unignore all dirs +!*/ +!api + +# ignore +.idea +**/.DS_Store +**/logs + +# ignore adhoc test code +**/adhoc + +# gitlab ci +.cache + +# vim auto backup file +*~ +!OWNERS diff --git a/bot/adapters/input/inputadapter.go b/bot/adapters/input/inputadapter.go new file mode 100644 index 0000000..f809bb3 --- /dev/null +++ b/bot/adapters/input/inputadapter.go @@ -0,0 +1,5 @@ +package input + +type InputAdapter interface { + Process(interface{}) +} diff --git a/bot/adapters/logic/closestmatch.go b/bot/adapters/logic/closestmatch.go new file mode 100644 index 0000000..44287ba --- /dev/null +++ b/bot/adapters/logic/closestmatch.go @@ -0,0 +1,244 @@ +package logic + +import ( + "fmt" + "math" + "sort" + + "github.com/kevwan/chatbot/bot/adapters/storage" + "github.com/kevwan/chatbot/bot/nlp" + "github.com/tal-tech/go-zero/core/mr" +) + +const ( + chunkSize = 10000 + topAnswerSize = 10 +) + +type ( + sourceAndTargets struct { + source string + targets []string + } + + questionAndScore struct { + question string + score float32 + } + + answerAndOccurrence struct { + answer string + occurrence int + } + + topOccurAnswers struct { + answers []*answerAndOccurrence + } + + topScoreQuestions struct { + questions []questionAndScore + } + + closestMatch struct { + verbose bool + storage storage.StorageAdapter + tops int + } +) + +func NewClosestMatch(storage storage.StorageAdapter, tops int) LogicAdapter { + return &closestMatch{ + storage: storage, + tops: tops, + } +} + +func (match *closestMatch) CanProcess(string) bool { + return true +} + +func (match *closestMatch) Process(text string) []Answer { + if responses, ok := match.storage.Find(text); ok { + return match.processExactMatch(responses) + } else { + return match.processSimilarMatch(text) + } +} + +func (match *closestMatch) SetVerbose() { + match.verbose = true +} + +func (match *closestMatch) processExactMatch(responses map[string]int) []Answer { + var top topOccurAnswers + + for key, occurrence := range responses { + top.put(key, occurrence) + } + + sort.Slice(top.answers, func(i, j int) bool { + return top.answers[i].occurrence > top.answers[j].occurrence + }) + + tops := match.tops + if len(top.answers) < tops { + tops = len(top.answers) + } + + answers := make([]Answer, tops) + for i := 0; i < tops; i++ { + answers[i].Content = top.answers[i].answer + answers[i].Confidence = 1 + } + + return answers +} + +func (match *closestMatch) processSimilarMatch(text string) []Answer { + result, ok := mr.MapReduce(generator(match, text), mapper(match), reducer(match)) + if !ok { + return nil + } + + var answers []Answer + slice := result.([]questionAndScore) + for _, each := range slice { + if each.score > 0 { + if responses, ok := match.storage.Find(each.question); ok { + matches := match.processExactMatch(responses) + if len(matches) > 0 { + answers = append(answers, Answer{ + Content: matches[0].Content, + Confidence: each.score, + }) + } + } + } + } + + return answers +} + +func (top *topOccurAnswers) put(answer string, occurrence int) { + if len(top.answers) < topAnswerSize { + top.answers = append(top.answers, &answerAndOccurrence{ + answer: answer, + occurrence: occurrence, + }) + } else { + var leastIndex int + leastOccurrence := math.MaxInt32 + + for i, each := range top.answers { + if each.occurrence < leastOccurrence { + leastOccurrence = each.occurrence + leastIndex = i + } + } + + if leastOccurrence < occurrence { + top.answers[leastIndex] = &answerAndOccurrence{ + answer: answer, + occurrence: occurrence, + } + } + } +} + +func generator(match *closestMatch, text string) mr.GenerateFunc { + return func(source chan interface{}) { + keys := match.storage.Search(text) + if match.verbose { + printMatches(keys) + } + + chunks := splitStrings(keys, chunkSize) + for _, chunk := range chunks { + source <- sourceAndTargets{ + source: text, + targets: chunk, + } + } + } +} + +func mapper(match *closestMatch) mr.MapperFunc { + return func(data interface{}, writer mr.Writer, cancel func()) { + tops := newTopScoreQuestions(match.tops) + pair := data.(sourceAndTargets) + for i := range pair.targets { + score := nlp.SimilarityForStrings(pair.source, pair.targets[i]) + tops.add(questionAndScore{ + question: pair.targets[i], + score: score, + }) + } + + writer.Write(tops) + } +} + +func reducer(match *closestMatch) mr.ReducerFunc { + return func(input chan interface{}, writer mr.Writer, cancel func()) { + tops := newTopScoreQuestions(match.tops) + for each := range input { + qs := each.(*topScoreQuestions) + for _, question := range qs.questions { + tops.add(question) + } + } + + sort.Slice(tops.questions, func(i, j int) bool { + return tops.questions[i].score > tops.questions[j].score + }) + + writer.Write(tops.questions) + } +} + +func splitStrings(slice []string, size int) [][]string { + var result [][]string + count := len(slice) + + for i := 0; i < count; i += size { + var end int + if i+size < count { + end = i + size + } else { + end = count + } + result = append(result, slice[i:end]) + } + + return result +} + +func printMatches(matches []string) { + fmt.Println("matched size:", len(matches)) + for i, sentence := range matches { + if i > 10 { + break + } + fmt.Println("\t", sentence) + } +} + +func newTopScoreQuestions(n int) *topScoreQuestions { + return &topScoreQuestions{ + questions: make([]questionAndScore, n), + } +} + +func (tq *topScoreQuestions) add(q questionAndScore) { + var score float32 = 1 + var index int + for i, each := range tq.questions { + if each.score < score { + score = each.score + index = i + } + } + if q.score > score { + tq.questions[index] = q + } +} diff --git a/bot/adapters/logic/combomatch.go b/bot/adapters/logic/combomatch.go new file mode 100644 index 0000000..e43d8c4 --- /dev/null +++ b/bot/adapters/logic/combomatch.go @@ -0,0 +1,35 @@ +package logic + +type comboMatch struct { + matches []LogicAdapter +} + +func NewComboMatch(matches ...LogicAdapter) LogicAdapter { + return &comboMatch{ + matches: matches, + } +} + +func (match *comboMatch) CanProcess(question string) bool { + for _, each := range match.matches { + if each.CanProcess(question) { + return true + } + } + return false +} + +func (match *comboMatch) Process(question string) []Answer { + for _, each := range match.matches { + if each.CanProcess(question) { + return each.Process(question) + } + } + return nil +} + +func (match *comboMatch) SetVerbose() { + for _, each := range match.matches { + each.SetVerbose() + } +} diff --git a/bot/adapters/logic/logicadapter.go b/bot/adapters/logic/logicadapter.go new file mode 100644 index 0000000..8bc8dd8 --- /dev/null +++ b/bot/adapters/logic/logicadapter.go @@ -0,0 +1,14 @@ +package logic + +type ( + Answer struct { + Content string + Confidence float32 + } + + LogicAdapter interface { + CanProcess(string) bool + Process(string) []Answer + SetVerbose() + } +) diff --git a/bot/adapters/output/outputadapter.go b/bot/adapters/output/outputadapter.go new file mode 100644 index 0000000..4e30bff --- /dev/null +++ b/bot/adapters/output/outputadapter.go @@ -0,0 +1,5 @@ +package output + +type OutputAdapter interface { + Process(string, float32) (string, bool) +} diff --git a/bot/adapters/storage/gobstorage.go b/bot/adapters/storage/gobstorage.go new file mode 100644 index 0000000..9f05aca --- /dev/null +++ b/bot/adapters/storage/gobstorage.go @@ -0,0 +1,8 @@ +package storage + +import "encoding/gob" + +type GobStorage interface { + StorageAdapter + SetOutput(*gob.Encoder) +} diff --git a/bot/adapters/storage/memorystorage.go b/bot/adapters/storage/memorystorage.go new file mode 100644 index 0000000..213023b --- /dev/null +++ b/bot/adapters/storage/memorystorage.go @@ -0,0 +1,403 @@ +package storage + +import ( + "encoding/gob" + "fmt" + "math" + "os" + "sort" + + "github.com/tal-tech/go-zero/core/lang" + "github.com/tal-tech/go-zero/core/mr" + "github.com/wangbin/jiebago" + "github.com/wangbin/jiebago/analyse" +) + +const ( + chunkSize = 10000 + topKeywords = 5 + thresholdForKeywords = 5 + maxSearchResults = 100 + thresholdForStopWords = 100 + dictFile = "dict.txt" + idfFile = "idf.txt" + stopWordsFile = "stop_words.txt" + generatedStopWordsFile = "stopwords.txt" +) + +type ( + keyChunk struct { + offfset int + keys []string + } + + memoryStorage struct { + writer *gob.Encoder + segmenter *jiebago.Segmenter + extracter *analyse.TagExtracter + keys []string + responses map[string]map[string]int + indexes map[string][]int + } +) + +func RestoreMemoryStorage(decoder *gob.Decoder) (*memoryStorage, error) { + var segmenter jiebago.Segmenter + segmenter.LoadDictionary(dictFile) + var extracter analyse.TagExtracter + extracter.LoadDictionary(dictFile) + extracter.LoadIdf(idfFile) + extracter.LoadStopWords(stopWordsFile) + + var keys []string + responses := make(map[string]map[string]int) + indexes := make(map[string][]int) + + if err := decoder.Decode(&keys); err != nil { + return nil, err + } + + if err := decoder.Decode(&responses); err != nil { + return nil, err + } + + if err := decoder.Decode(&indexes); err != nil { + return nil, err + } + + return &memoryStorage{ + segmenter: &segmenter, + extracter: &extracter, + keys: keys, + responses: responses, + indexes: indexes, + }, nil +} + +func NewMemoryStorage() *memoryStorage { + var segmenter jiebago.Segmenter + segmenter.LoadDictionary(dictFile) + var extracter analyse.TagExtracter + extracter.LoadDictionary(dictFile) + extracter.LoadIdf(idfFile) + extracter.LoadStopWords(stopWordsFile) + + return &memoryStorage{ + segmenter: &segmenter, + extracter: &extracter, + responses: make(map[string]map[string]int), + indexes: make(map[string][]int), + } +} + +func (storage *memoryStorage) BuildIndex() { + storage.keys = storage.buildKeys() + storage.indexes = storage.buildIndex(storage.keys) + storage.saveStopWords() +} + +func (storage *memoryStorage) Count() int { + return len(storage.responses) +} + +func (storage *memoryStorage) Find(text string) (map[string]int, bool) { + value, ok := storage.responses[text] + return value, ok +} + +func (storage *memoryStorage) Search(key string) []string { + ids := make(map[int]int8) + var maxMatches int8 + collector := func(word string) { + if wordIds, ok := storage.indexes[word]; ok { + for _, id := range wordIds { + current := ids[id] + ids[id] = current + 1 + if current+1 > maxMatches { + maxMatches = current + 1 + } + } + } + } + + if len([]rune(key)) > thresholdForKeywords { + tags := storage.extracter.ExtractTags(key, topKeywords) + for i := range tags { + collector(tags[i].Text()) + } + } + + if len(ids) == 0 { + for word := range storage.segmenter.Cut(key, true) { + collector(word) + } + } + + if len(ids) > maxSearchResults { + return storage.generateFromMoreMatches(ids, maxMatches) + } else { + return storage.generateFromLessMatches(ids) + } +} + +func (storage *memoryStorage) Remove(text string) { + delete(storage.responses, text) +} + +func (storage *memoryStorage) SetOutput(output *gob.Encoder) { + storage.writer = output +} + +func (storage *memoryStorage) Sync() error { + if err := storage.writer.Encode(storage.keys); err != nil { + return err + } + + if err := storage.writer.Encode(storage.responses); err != nil { + return err + } + + return storage.writer.Encode(storage.indexes) +} + +func (storage *memoryStorage) Update(text string, responses map[string]int) { + storage.responses[text] = responses +} + +func (storage *memoryStorage) buildKeys() []string { + keys := make([]string, len(storage.responses)) + index := 0 + + for key := range storage.responses { + keys[index] = key + index++ + } + + return keys +} + +func (storage *memoryStorage) buildIndex(keys []string) map[string][]int { + channel := make(chan interface{}) + + go func() { + chunks := splitStrings(keys, chunkSize) + for i := range chunks { + channel <- chunks[i] + } + close(channel) + }() + + result, ok := mr.MapReduce(func(source chan interface{}) { + chunks := splitStrings(keys, chunkSize) + for i := range chunks { + source <- chunks[i] + } + }, storage.mapper, storage.reducer) + if !ok { + return nil + } + + return result.(map[string][]int) +} + +func (storage *memoryStorage) saveStopWords() { + f, err := os.Create(generatedStopWordsFile) + if err != nil { + return + } + defer f.Close() + + stopWords := make(map[int][]string) + for key, value := range storage.indexes { + stopWords[len(value)] = append(stopWords[len(value)], key) + } + + var mostOccurrences sort.IntSlice + for key := range stopWords { + if key > len(storage.keys)/thresholdForStopWords { + mostOccurrences = append(mostOccurrences, key) + } + } + + mostOccurrences.Sort() + for i := range mostOccurrences { + occurrence := mostOccurrences[len(mostOccurrences)-(i+1)] + fmt.Fprintf(f, "%d:\n", occurrence) + ids := stopWords[occurrence] + for i := range ids { + fmt.Fprintf(f, "\t%s\n", ids[i]) + } + } +} + +func (storage *memoryStorage) findShortestStrings(indexes []int, total int) []int { + var result []int + var shortestLoc int + shortest := int(math.MaxInt32) + + for _, index := range indexes { + size := len(storage.keys[index]) + if len(result) < total { + result = append(result, index) + if size < shortest { + shortest = size + shortestLoc = len(result) - 1 + } + } else if size < shortest { + shortest = size + result[shortestLoc] = index + } + } + + return result +} + +func (storage *memoryStorage) generateFromMoreMatches(ids map[int]int8, maxMatches int8) []string { + matches := make(map[int8][]int, maxMatches) + for id, occurrence := range ids { + matches[occurrence-1] = append(matches[occurrence-1], id) + } + + hotIds := make([]int, maxSearchResults) + index := 0 + for i := maxMatches - 1; i >= 0 && index < maxSearchResults; i-- { + chunk := matches[i] + if len(chunk) <= maxSearchResults-index { + copy(hotIds[index:], chunk) + index += len(chunk) + } else { + shortest := storage.findShortestStrings(chunk, maxSearchResults-index) + copy(hotIds[index:], shortest) + index += len(shortest) + } + } + + return storage.generateSearchResults(hotIds) +} + +func (storage *memoryStorage) generateFromLessMatches(ids map[int]int8) []string { + resultIds := make([]int, len(ids)) + + index := 0 + for id := range ids { + resultIds[index] = id + index++ + } + + return storage.generateSearchResults(resultIds) +} + +func (storage *memoryStorage) generateSearchResults(ids []int) []string { + result := make([]string, len(ids)) + + index := 0 + for _, id := range ids { + result[index] = storage.keys[id] + index++ + } + + return result +} + +func (storage *memoryStorage) mapper(data interface{}, writer mr.Writer, cancel func()) { + indexes := make(map[string][]int) + chunk := data.(*keyChunk) + + for i := range chunk.keys { + collector := func(word string) { + if ids, ok := indexes[word]; ok { + // ids is never empty + if ids[len(ids)-1] != chunk.offfset+i { + indexes[word] = append(ids, chunk.offfset+i) + } + } else { + indexes[word] = []int{chunk.offfset + i} + } + } + + key := chunk.keys[i] + if len([]rune(key)) > thresholdForKeywords { + tags := storage.extracter.ExtractTags(key, topKeywords) + for i := range tags { + collector(tags[i].Text()) + } + } else { + for word := range storage.segmenter.Cut(key, true) { + collector(word) + } + } + } + + writer.Write(indexes) +} + +func (storage *memoryStorage) reducer(input chan interface{}, writer mr.Writer, cancel func()) { + indexes := make(map[string]map[int]struct{}) + for each := range input { + chunkIndexes := each.(map[string][]int) + for key, ids := range chunkIndexes { + mapping, ok := indexes[key] + if !ok { + mapping = make(map[int]struct{}) + indexes[key] = mapping + } + + for _, id := range ids { + mapping[id] = lang.Placeholder + } + } + } + + result := make(map[string][]int, len(indexes)) + for key, set := range indexes { + ids := make([]int, len(set)) + index := 0 + for id := range set { + ids[index] = id + index++ + } + result[key] = ids + } + + writer.Write(result) +} + +func splitStrings(slice []string, size int) []*keyChunk { + var result []*keyChunk + count := len(slice) + + for i := 0; i < count; i += size { + var end int + if i+size < count { + end = i + size + } else { + end = count + } + result = append(result, &keyChunk{ + offfset: i, + keys: slice[i:end], + }) + } + + return result +} + +func (storage *memoryStorage) print() { + fmt.Println("Questions:") + for _, key := range storage.keys { + fmt.Printf("\t%s\n", key) + } + + fmt.Println("Responses:") + for key, value := range storage.responses { + fmt.Printf("\t%s:\n", key) + for text, occurrence := range value { + fmt.Printf("\t\t%s:\t%d\n", text, occurrence) + } + } + + fmt.Println("Indexes:") + for key, ids := range storage.indexes { + fmt.Printf("\t%s: %v\n", key, ids) + } +} diff --git a/bot/adapters/storage/separatedmemorystorage.go b/bot/adapters/storage/separatedmemorystorage.go new file mode 100644 index 0000000..94a03aa --- /dev/null +++ b/bot/adapters/storage/separatedmemorystorage.go @@ -0,0 +1,103 @@ +package storage + +import ( + "encoding/gob" + "os" + + "github.com/kevwan/chatbot/bot/nlp" +) + +type separatedMemoryStorage struct { + filepath string + declarativeStorage GobStorage + questionStorage GobStorage +} + +func NewSeparatedMemoryStorage(filepath string) (*separatedMemoryStorage, error) { + var declarativeStorage, questionStorage GobStorage + + if _, err := os.Stat(filepath); err == nil { + f, err := os.Open(filepath) + if err != nil { + return nil, err + } + defer f.Close() + + decoder := gob.NewDecoder(f) + if declarativeStorage, err = RestoreMemoryStorage(decoder); err != nil { + return nil, err + } + + if questionStorage, err = RestoreMemoryStorage(decoder); err != nil { + return nil, err + } + } else { + declarativeStorage = NewMemoryStorage() + questionStorage = NewMemoryStorage() + } + + return &separatedMemoryStorage{ + filepath: filepath, + declarativeStorage: declarativeStorage, + questionStorage: questionStorage, + }, nil +} + +func (storage *separatedMemoryStorage) BuildIndex() { + storage.declarativeStorage.BuildIndex() + storage.questionStorage.BuildIndex() +} + +func (storage *separatedMemoryStorage) Count() int { + return storage.declarativeStorage.Count() + storage.questionStorage.Count() +} + +func (storage *separatedMemoryStorage) Find(sentence string) (map[string]int, bool) { + if nlp.IsQuestion(sentence) { + return storage.questionStorage.Find(sentence) + } else { + return storage.declarativeStorage.Find(sentence) + } +} + +func (storage *separatedMemoryStorage) Search(sentence string) []string { + if nlp.IsQuestion(sentence) { + return storage.questionStorage.Search(sentence) + } else { + return storage.declarativeStorage.Search(sentence) + } +} + +func (storage *separatedMemoryStorage) Remove(sentence string) { + if nlp.IsQuestion(sentence) { + storage.questionStorage.Remove(sentence) + } else { + storage.declarativeStorage.Remove(sentence) + } +} + +func (storage *separatedMemoryStorage) Sync() error { + f, err := os.Create(storage.filepath) + if err != nil { + return err + } + defer f.Close() + + encoder := gob.NewEncoder(f) + + storage.declarativeStorage.SetOutput(encoder) + if err := storage.declarativeStorage.Sync(); err != nil { + return err + } + + storage.questionStorage.SetOutput(encoder) + return storage.questionStorage.Sync() +} + +func (storage *separatedMemoryStorage) Update(sentence string, responses map[string]int) { + if nlp.IsQuestion(sentence) { + storage.questionStorage.Update(sentence, responses) + } else { + storage.declarativeStorage.Update(sentence, responses) + } +} diff --git a/bot/adapters/storage/storageadapter.go b/bot/adapters/storage/storageadapter.go new file mode 100644 index 0000000..e6315be --- /dev/null +++ b/bot/adapters/storage/storageadapter.go @@ -0,0 +1,11 @@ +package storage + +type StorageAdapter interface { + BuildIndex() + Count() int + Find(string) (map[string]int, bool) + Search(string) []string + Remove(string) + Sync() error + Update(string, map[string]int) +} diff --git a/bot/chatbot.go b/bot/chatbot.go new file mode 100644 index 0000000..983f204 --- /dev/null +++ b/bot/chatbot.go @@ -0,0 +1,56 @@ +package bot + +import ( + "fmt" + "runtime" + "time" + + "github.com/kevwan/chatbot/bot/adapters/input" + "github.com/kevwan/chatbot/bot/adapters/logic" + "github.com/kevwan/chatbot/bot/adapters/output" + "github.com/kevwan/chatbot/bot/adapters/storage" +) + +const mega = 1024 * 1024 + +type ChatBot struct { + PrintMemStats bool + InputAdapter input.InputAdapter + LogicAdapter logic.LogicAdapter + OutputAdapter output.OutputAdapter + StorageAdapter storage.StorageAdapter + Trainer Trainer +} + +func (chatbot *ChatBot) Train(data interface{}) error { + start := time.Now() + defer func() { + fmt.Printf("Elapsed: %s\n", time.Since(start)) + }() + + if chatbot.PrintMemStats { + go func() { + for { + var m runtime.MemStats + runtime.ReadMemStats(&m) + fmt.Printf("Alloc = %vm\nTotalAlloc = %vm\nSys = %vm\nNumGC = %v\n\n", + m.Alloc/mega, m.TotalAlloc/mega, m.Sys/mega, m.NumGC) + time.Sleep(5 * time.Second) + } + }() + } + + if err := chatbot.Trainer.Train(data); err != nil { + return err + } else { + return chatbot.StorageAdapter.Sync() + } +} + +func (chatbot *ChatBot) GetResponse(text string) []logic.Answer { + if chatbot.LogicAdapter.CanProcess(text) { + return chatbot.LogicAdapter.Process(text) + } + + return nil +} diff --git a/bot/corpus/corpus.go b/bot/corpus/corpus.go new file mode 100644 index 0000000..0a3e219 --- /dev/null +++ b/bot/corpus/corpus.go @@ -0,0 +1,37 @@ +package corpus + +import ( + "encoding/json" + "io/ioutil" + "os" +) + +func LoadCorpora(filePaths []string) (map[string][][]string, error) { + result := make(map[string][][]string) + + for _, file := range filePaths { + if corpus, err := readCorpus(file); err != nil { + return nil, err + } else { + for key, value := range corpus { + result[key] = append(result[key], value...) + } + } + } + + return result, nil +} + +func readCorpus(file string) (map[string][][]string, error) { + var result map[string][][]string + + if f, err := os.Open(file); err != nil { + return nil, err + } else if content, err := ioutil.ReadAll(f); err != nil { + return nil, err + } else if err := json.Unmarshal(content, &result); err != nil { + return nil, err + } else { + return result, nil + } +} diff --git a/bot/nlp/comparisons.go b/bot/nlp/comparisons.go new file mode 100644 index 0000000..979fbd9 --- /dev/null +++ b/bot/nlp/comparisons.go @@ -0,0 +1,115 @@ +package nlp + +const ( + Ins = iota + Del + Sub + Match +) + +// DefaultOptions is the default options: insertion cost is 1, deletion cost is +// 1, substitution cost is 2, and two runes match iff they are the same. +var DefaultOptions Options = Options{ + InsCost: 1, + DelCost: 1, + SubCost: 2, + Matches: func(sourceCharacter rune, targetCharacter rune) bool { + return sourceCharacter == targetCharacter + }, +} + +type ( + EditOperation int + EditScript []EditOperation + MatchFunction func(rune, rune) bool + + Options struct { + InsCost int + DelCost int + SubCost int + Matches MatchFunction + } +) + +func (operation EditOperation) String() string { + if operation == Match { + return "match" + } else if operation == Ins { + return "ins" + } else if operation == Sub { + return "sub" + } + return "del" +} + +func SimilarityForStrings(source, target string) float32 { + distance := DistanceForStrings([]rune(source), []rune(target), DefaultOptions) + total := len([]rune(source)) + len([]rune(target)) + return float32(total-distance) / float32(total) +} + +// DistanceForStrings returns the edit distance between source and target. +func DistanceForStrings(source []rune, target []rune, op Options) int { + return DistanceForMatrix(MatrixForStrings(source, target, op)) +} + +// DistanceForMatrix reads the edit distance off the given Levenshtein matrix. +func DistanceForMatrix(matrix [][]int) int { + return matrix[len(matrix)-1][len(matrix[0])-1] +} + +// MatrixForStrings generates a 2-D array representing the dynamic programming +// table used by the Levenshtein algorithm, as described e.g. here: +// http://www.let.rug.nl/kleiweg/lev/ +// The reason for putting the creation of the table into a separate function is +// that it cannot only be used for reading of the edit distance between two +// strings, but also e.g. to backtrace an edit script that provides an +// alignment between the characters of both strings. +func MatrixForStrings(source []rune, target []rune, op Options) [][]int { + // Make a 2-D matrix. Rows correspond to prefixes of source, columns to + // prefixes of target. Cells will contain edit distances. + // Cf. http://www.let.rug.nl/~kleiweg/lev/levenshtein.html + height := len(source) + 1 + width := len(target) + 1 + matrix := make([][]int, height) + + // Initialize trivial distances (from/to empty string). That is, fill + // the left column and the top row with row/column indices. + for i := 0; i < height; i++ { + matrix[i] = make([]int, width) + matrix[i][0] = i + } + for j := 1; j < width; j++ { + matrix[0][j] = j + } + + // Fill in the remaining cells: for each prefix pair, choose the + // (edit history, operation) pair with the lowest cost. + for i := 1; i < height; i++ { + for j := 1; j < width; j++ { + delCost := matrix[i-1][j] + op.DelCost + matchSubCost := matrix[i-1][j-1] + if !op.Matches(source[i-1], target[j-1]) { + matchSubCost += op.SubCost + } + insCost := matrix[i][j-1] + op.InsCost + matrix[i][j] = min(delCost, min(matchSubCost, insCost)) + } + } + + return matrix +} + +func min(a int, b int) int { + if b < a { + return b + } + return a +} + +func max(a int, b int) int { + if b > a { + return b + } + return a +} diff --git a/bot/nlp/sentencedetect.go b/bot/nlp/sentencedetect.go new file mode 100644 index 0000000..8c068e2 --- /dev/null +++ b/bot/nlp/sentencedetect.go @@ -0,0 +1,39 @@ +package nlp + +import ( + "strings" + + "github.com/tal-tech/go-zero/core/lang" +) + +var ( + endQuestionChars = map[rune]lang.PlaceholderType{ + '?': lang.Placeholder, + '？': lang.Placeholder, + '吗': lang.Placeholder, + '么': lang.Placeholder, + } + + embededQuestionMarks = []string{ + "什么", "为何", "干嘛", "干吗", "怎么", "咋", + } +) + +func IsQuestion(sentence string) bool { + chars := []rune(strings.TrimSpace(sentence)) + if len(chars) == 0 { + return false + } + + if _, ok := endQuestionChars[chars[len(chars)-1]]; ok { + return true + } + + for i := range embededQuestionMarks { + if strings.Contains(sentence, embededQuestionMarks[i]) { + return true + } + } + + return false +} diff --git a/bot/trainers.go b/bot/trainers.go new file mode 100644 index 0000000..4546a37 --- /dev/null +++ b/bot/trainers.go @@ -0,0 +1,97 @@ +package bot + +import ( + "errors" + "fmt" + "strings" + + "github.com/kevwan/chatbot/bot/adapters/storage" + "github.com/kevwan/chatbot/bot/corpus" +) + +type ( + Trainer interface { + Train(interface{}) error + } + + ConversationTrainer struct { + storage storage.StorageAdapter + } + + CorpusTrainer struct { + storage storage.StorageAdapter + } +) + +func NewConversationTrainer(storage storage.StorageAdapter) *ConversationTrainer { + return &ConversationTrainer{ + storage: storage, + } +} + +func (trainer *ConversationTrainer) getOrCreate(text string) map[string]int { + if value, ok := trainer.storage.Find(text); ok { + return value + } else { + return make(map[string]int) + } +} + +func (trainer *ConversationTrainer) Train(data interface{}) error { + sentences, ok := data.([]string) + if !ok { + return errors.New("ConversationTrainer.Train needs arguments to be []string") + } + + var history string + for _, sentence := range sentences { + sentence = strings.TrimSpace(sentence) + if len(sentence) == 0 { + continue + } + + if len(history) > 0 { + responses := trainer.getOrCreate(history) + responses[sentence] += 1 + trainer.storage.Update(history, responses) + } + + history = sentence + } + + return nil +} + +func NewCorpusTrainer(storage storage.StorageAdapter) *CorpusTrainer { + return &CorpusTrainer{ + storage: storage, + } +} + +func (trainer *CorpusTrainer) Train(data interface{}) error { + files, ok := data.([]string) + if !ok { + return errors.New("CorpusTrainer.Train needs argument to be []string") + } + + fmt.Println("Loading corpora...") + + convTrainer := NewConversationTrainer(trainer.storage) + corpora, err := corpus.LoadCorpora(files) + if err != nil { + return err + } + + fmt.Println("Creating Q/A mappings...") + + for _, convs := range corpora { + for _, conv := range convs { + convTrainer.Train(conv) + } + } + + fmt.Println("Building indexes...") + + trainer.storage.BuildIndex() + return nil +} diff --git a/go.mod b/go.mod new file mode 100644 index 0000000..73be63b --- /dev/null +++ b/go.mod @@ -0,0 +1,16 @@ +module github.com/kevwan/chatbot + +go 1.17 + +require ( + github.com/tal-tech/go-zero v1.2.1 + github.com/wangbin/jiebago v0.3.2 +) + +require ( + github.com/spaolacci/murmur3 v1.1.0 // indirect + go.opentelemetry.io/otel v1.0.0-RC2 // indirect + go.opentelemetry.io/otel/trace v1.0.0-RC2 // indirect + go.uber.org/automaxprocs v1.3.0 // indirect + gopkg.in/yaml.v2 v2.4.0 // indirect +) diff --git a/go.sum b/go.sum new file mode 100644 index 0000000..0427674 --- /dev/null +++ b/go.sum @@ -0,0 +1,592 @@ +cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.34.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.38.0/go.mod h1:990N+gfupTy94rShfmMCWGDn0LpTmnzTp2qbd1dvSRU= +cloud.google.com/go v0.44.1/go.mod h1:iSa0KzasP4Uvy3f1mN/7PiObzGgflwredwwASm/v6AU= +cloud.google.com/go v0.44.2/go.mod h1:60680Gw3Yr4ikxnPRS/oxxkBccT6SA1yMk63TGekxKY= +cloud.google.com/go v0.45.1/go.mod h1:RpBamKRgapWJb87xiFSdk4g1CME7QZg3uwTez+TSTjc= +cloud.google.com/go v0.46.3/go.mod 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