179 lines
4.7 KiB
Go
179 lines
4.7 KiB
Go
// Copyright 2023 The casbin Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package object
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import (
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"context"
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"fmt"
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"path/filepath"
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"time"
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"github.com/casbin/casibase/embedding"
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"github.com/casbin/casibase/storage"
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"github.com/casbin/casibase/txt"
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"github.com/casbin/casibase/util"
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"golang.org/x/time/rate"
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)
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func filterTextFiles(files []*storage.Object) []*storage.Object {
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fileTypes := txt.GetSupportedFileTypes()
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fileTypeMap := map[string]bool{}
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for _, fileType := range fileTypes {
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fileTypeMap[fileType] = true
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}
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res := []*storage.Object{}
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for _, file := range files {
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ext := filepath.Ext(file.Key)
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if fileTypeMap[ext] {
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res = append(res, file)
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}
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}
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return res
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}
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func getFilteredFileObjects(provider string, prefix string) ([]*storage.Object, error) {
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files, err := storage.ListObjects(provider, prefix)
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if err != nil {
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return nil, err
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}
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return filterTextFiles(files), nil
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}
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func addEmbeddedVector(embeddingProviderObj embedding.EmbeddingProvider, text string, storeName string, fileName string) (bool, error) {
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data, err := queryVectorSafe(embeddingProviderObj, text)
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if err != nil {
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return false, err
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}
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displayName := text
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if len(text) > 25 {
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displayName = text[:25]
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}
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vector := &Vector{
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Owner: "admin",
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Name: fmt.Sprintf("vector_%s", util.GetRandomName()),
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CreatedTime: util.GetCurrentTime(),
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DisplayName: displayName,
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Store: storeName,
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File: fileName,
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Text: text,
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Data: data,
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}
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return AddVector(vector)
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}
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func addVectorsForStore(embeddingProviderObj embedding.EmbeddingProvider, storageProviderName string, key string, storeName string) (bool, error) {
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var affected bool
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var err error
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objs, err := getFilteredFileObjects(storageProviderName, key)
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if err != nil {
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return false, err
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}
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timeLimiter := rate.NewLimiter(rate.Every(time.Minute), 3)
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for _, obj := range objs {
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var text string
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fileExt := filepath.Ext(obj.Key)
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text, err = txt.GetParsedTextFromUrl(obj.Url, fileExt)
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if err != nil {
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return false, err
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}
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textSections := txt.GetTextSections(text)
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for i, textSection := range textSections {
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if timeLimiter.Allow() {
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fmt.Printf("[%d/%d] Generating embedding for store: [%s]'s text section: %s\n", i+1, len(textSections), storeName, textSection)
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affected, err = addEmbeddedVector(embeddingProviderObj, textSection, storeName, obj.Key)
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} else {
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err = timeLimiter.Wait(context.Background())
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if err != nil {
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return false, err
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}
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fmt.Printf("[%d/%d] Generating embedding for store: [%s]'s text section: %s\n", i+1, len(textSections), storeName, textSection)
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affected, err = addEmbeddedVector(embeddingProviderObj, textSection, storeName, obj.Key)
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}
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}
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}
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return affected, err
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}
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func getRelatedVectors(owner string) ([]*Vector, error) {
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vectors, err := GetVectors(owner)
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if err != nil {
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return nil, err
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}
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if len(vectors) == 0 {
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return nil, fmt.Errorf("no knowledge vectors found")
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}
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return vectors, nil
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}
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func queryVectorWithContext(embeddingProvider embedding.EmbeddingProvider, text string, timeout int) ([]float32, error) {
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ctx, cancel := context.WithTimeout(context.Background(), time.Duration(30+timeout*2)*time.Second)
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defer cancel()
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return embeddingProvider.QueryVector(text, ctx)
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}
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func queryVectorSafe(embeddingProvider embedding.EmbeddingProvider, text string) ([]float32, error) {
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var res []float32
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var err error
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for i := 0; i < 10; i++ {
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res, err = queryVectorWithContext(embeddingProvider, text, i)
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if err != nil {
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if i > 0 {
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fmt.Printf("\tFailed (%d): %s\n", i+1, err.Error())
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}
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} else {
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break
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}
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}
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if err != nil {
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return nil, err
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} else {
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return res, nil
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}
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}
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func GetNearestVectorText(embeddingProvider embedding.EmbeddingProvider, owner string, text string) (string, error) {
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qVector, err := queryVectorSafe(embeddingProvider, text)
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if err != nil {
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return "", err
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}
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if qVector == nil {
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return "", fmt.Errorf("no qVector found")
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}
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vectors, err := getRelatedVectors(owner)
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if err != nil {
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return "", err
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}
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var nVectors [][]float32
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for _, candidate := range vectors {
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nVectors = append(nVectors, candidate.Data)
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}
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i := getNearestVectorIndex(qVector, nVectors)
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return vectors[i].Text, nil
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}
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