446 lines
15 KiB
Go
446 lines
15 KiB
Go
/*
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* Copyright 2025 coze-dev Authors
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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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*/
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package knowledge
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import (
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"context"
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"encoding/json"
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"fmt"
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"os"
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"path/filepath"
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"strconv"
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"time"
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"github.com/cloudwego/eino-ext/components/embedding/ark"
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"github.com/cloudwego/eino-ext/components/embedding/openai"
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ao "github.com/cloudwego/eino-ext/components/model/ark"
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"github.com/cloudwego/eino-ext/components/model/deepseek"
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"github.com/cloudwego/eino-ext/components/model/gemini"
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"github.com/cloudwego/eino-ext/components/model/ollama"
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mo "github.com/cloudwego/eino-ext/components/model/openai"
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"github.com/cloudwego/eino-ext/components/model/qwen"
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"github.com/cloudwego/eino/components/prompt"
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"github.com/cloudwego/eino/schema"
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"github.com/milvus-io/milvus/client/v2/milvusclient"
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"github.com/volcengine/volc-sdk-golang/service/vikingdb"
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"github.com/volcengine/volc-sdk-golang/service/visual"
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"google.golang.org/genai"
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"gorm.io/gorm"
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"github.com/coze-dev/coze-studio/backend/application/search"
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knowledgeImpl "github.com/coze-dev/coze-studio/backend/domain/knowledge/service"
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"github.com/coze-dev/coze-studio/backend/infra/contract/cache"
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"github.com/coze-dev/coze-studio/backend/infra/contract/chatmodel"
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"github.com/coze-dev/coze-studio/backend/infra/contract/document/nl2sql"
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"github.com/coze-dev/coze-studio/backend/infra/contract/document/ocr"
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"github.com/coze-dev/coze-studio/backend/infra/contract/document/searchstore"
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"github.com/coze-dev/coze-studio/backend/infra/contract/embedding"
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"github.com/coze-dev/coze-studio/backend/infra/contract/es"
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"github.com/coze-dev/coze-studio/backend/infra/contract/idgen"
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"github.com/coze-dev/coze-studio/backend/infra/contract/imagex"
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"github.com/coze-dev/coze-studio/backend/infra/contract/messages2query"
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"github.com/coze-dev/coze-studio/backend/infra/contract/rdb"
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"github.com/coze-dev/coze-studio/backend/infra/contract/storage"
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chatmodelImpl "github.com/coze-dev/coze-studio/backend/infra/impl/chatmodel"
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builtinNL2SQL "github.com/coze-dev/coze-studio/backend/infra/impl/document/nl2sql/builtin"
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"github.com/coze-dev/coze-studio/backend/infra/impl/document/ocr/veocr"
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builtinParser "github.com/coze-dev/coze-studio/backend/infra/impl/document/parser/builtin"
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"github.com/coze-dev/coze-studio/backend/infra/impl/document/rerank/rrf"
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sses "github.com/coze-dev/coze-studio/backend/infra/impl/document/searchstore/elasticsearch"
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ssmilvus "github.com/coze-dev/coze-studio/backend/infra/impl/document/searchstore/milvus"
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ssvikingdb "github.com/coze-dev/coze-studio/backend/infra/impl/document/searchstore/vikingdb"
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arkemb "github.com/coze-dev/coze-studio/backend/infra/impl/embedding/ark"
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"github.com/coze-dev/coze-studio/backend/infra/impl/embedding/wrap"
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"github.com/coze-dev/coze-studio/backend/infra/impl/eventbus"
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builtinM2Q "github.com/coze-dev/coze-studio/backend/infra/impl/messages2query/builtin"
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"github.com/coze-dev/coze-studio/backend/pkg/lang/conv"
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"github.com/coze-dev/coze-studio/backend/pkg/lang/ptr"
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"github.com/coze-dev/coze-studio/backend/pkg/logs"
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"github.com/coze-dev/coze-studio/backend/types/consts"
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)
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type ServiceComponents struct {
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DB *gorm.DB
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IDGenSVC idgen.IDGenerator
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Storage storage.Storage
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RDB rdb.RDB
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ImageX imagex.ImageX
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ES es.Client
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EventBus search.ResourceEventBus
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CacheCli cache.Cmdable
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}
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func InitService(c *ServiceComponents) (*KnowledgeApplicationService, error) {
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ctx := context.Background()
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nameServer := os.Getenv(consts.MQServer)
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knowledgeProducer, err := eventbus.NewProducer(nameServer, consts.RMQTopicKnowledge, consts.RMQConsumeGroupKnowledge, 2)
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if err != nil {
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return nil, fmt.Errorf("init knowledge producer failed, err=%w", err)
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}
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var sManagers []searchstore.Manager
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// es full text search
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sManagers = append(sManagers, sses.NewManager(&sses.ManagerConfig{Client: c.ES}))
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// vector search
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mgr, err := getVectorStore(ctx)
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if err != nil {
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return nil, fmt.Errorf("init vector store failed, err=%w", err)
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}
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sManagers = append(sManagers, mgr)
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var ocrImpl ocr.OCR
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switch os.Getenv("OCR_TYPE") {
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case "ve":
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ocrAK := os.Getenv("VE_OCR_AK")
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ocrSK := os.Getenv("VE_OCR_SK")
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inst := visual.NewInstance()
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inst.Client.SetAccessKey(ocrAK)
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inst.Client.SetSecretKey(ocrSK)
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ocrImpl = veocr.NewOCR(&veocr.Config{Client: inst})
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default:
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// accept ocr not configured
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}
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root, err := os.Getwd()
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if err != nil {
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logs.Warnf("[InitConfig] Failed to get current working directory: %v", err)
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root = os.Getenv("PWD")
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}
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var rewriter messages2query.MessagesToQuery
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if rewriterChatModel, _, err := getBuiltinChatModel(ctx, "M2Q_"); err != nil {
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return nil, err
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} else {
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filePath := filepath.Join(root, "resources/conf/prompt/messages_to_query_template_jinja2.json")
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rewriterTemplate, err := readJinja2PromptTemplate(filePath)
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if err != nil {
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return nil, err
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}
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rewriter, err = builtinM2Q.NewMessagesToQuery(ctx, rewriterChatModel, rewriterTemplate)
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if err != nil {
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return nil, err
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}
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}
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var n2s nl2sql.NL2SQL
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if n2sChatModel, _, err := getBuiltinChatModel(ctx, "NL2SQL_"); err != nil {
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return nil, err
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} else {
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filePath := filepath.Join(root, "resources/conf/prompt/nl2sql_template_jinja2.json")
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n2sTemplate, err := readJinja2PromptTemplate(filePath)
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if err != nil {
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return nil, err
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}
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n2s, err = builtinNL2SQL.NewNL2SQL(ctx, n2sChatModel, n2sTemplate)
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if err != nil {
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return nil, err
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}
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}
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imageAnnoChatModel, configured, err := getBuiltinChatModel(ctx, "IA_")
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if err != nil {
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return nil, err
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}
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knowledgeDomainSVC, knowledgeEventHandler := knowledgeImpl.NewKnowledgeSVC(&knowledgeImpl.KnowledgeSVCConfig{
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DB: c.DB,
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IDGen: c.IDGenSVC,
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RDB: c.RDB,
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Producer: knowledgeProducer,
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SearchStoreManagers: sManagers,
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ParseManager: builtinParser.NewManager(c.Storage, ocrImpl, imageAnnoChatModel), // default builtin
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Storage: c.Storage,
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Rewriter: rewriter,
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Reranker: rrf.NewRRFReranker(0), // default rrf
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NL2Sql: n2s,
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OCR: ocrImpl,
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CacheCli: c.CacheCli,
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IsAutoAnnotationSupported: configured,
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ModelFactory: chatmodelImpl.NewDefaultFactory(),
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})
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if err = eventbus.RegisterConsumer(nameServer, consts.RMQTopicKnowledge, consts.RMQConsumeGroupKnowledge, knowledgeEventHandler); err != nil {
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return nil, fmt.Errorf("register knowledge consumer failed, err=%w", err)
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}
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KnowledgeSVC.DomainSVC = knowledgeDomainSVC
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KnowledgeSVC.eventBus = c.EventBus
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KnowledgeSVC.storage = c.Storage
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return KnowledgeSVC, nil
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}
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func getVectorStore(ctx context.Context) (searchstore.Manager, error) {
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vsType := os.Getenv("VECTOR_STORE_TYPE")
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switch vsType {
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case "milvus":
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cctx, cancel := context.WithTimeout(ctx, time.Second*5)
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defer cancel()
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milvusAddr := os.Getenv("MILVUS_ADDR")
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mc, err := milvusclient.New(cctx, &milvusclient.ClientConfig{Address: milvusAddr})
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if err != nil {
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return nil, fmt.Errorf("init milvus client failed, err=%w", err)
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}
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emb, err := getEmbedding(ctx)
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if err != nil {
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return nil, fmt.Errorf("init milvus embedding failed, err=%w", err)
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}
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mgr, err := ssmilvus.NewManager(&ssmilvus.ManagerConfig{
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Client: mc,
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Embedding: emb,
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EnableHybrid: ptr.Of(true),
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})
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if err != nil {
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return nil, fmt.Errorf("init milvus vector store failed, err=%w", err)
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}
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return mgr, nil
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case "vikingdb":
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var (
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host = os.Getenv("VIKING_DB_HOST")
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region = os.Getenv("VIKING_DB_REGION")
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ak = os.Getenv("VIKING_DB_AK")
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sk = os.Getenv("VIKING_DB_SK")
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scheme = os.Getenv("VIKING_DB_SCHEME")
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modelName = os.Getenv("VIKING_DB_MODEL_NAME")
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)
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if ak == "" || sk == "" {
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return nil, fmt.Errorf("invalid vikingdb ak / sk")
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}
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if host == "" {
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host = "api-vikingdb.volces.com"
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}
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if region == "" {
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region = "cn-beijing"
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}
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if scheme == "" {
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scheme = "https"
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}
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var embConfig *ssvikingdb.VikingEmbeddingConfig
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if modelName != "" {
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embName := ssvikingdb.VikingEmbeddingModelName(modelName)
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if embName.Dimensions() == 0 {
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return nil, fmt.Errorf("embedding model not support, model_name=%s", modelName)
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}
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embConfig = &ssvikingdb.VikingEmbeddingConfig{
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UseVikingEmbedding: true,
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EnableHybrid: embName.SupportStatus() == embedding.SupportDenseAndSparse,
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ModelName: embName,
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ModelVersion: embName.ModelVersion(),
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DenseWeight: ptr.Of(0.2),
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BuiltinEmbedding: nil,
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}
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} else {
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builtinEmbedding, err := getEmbedding(ctx)
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if err != nil {
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return nil, fmt.Errorf("builtint embedding init failed, err=%w", err)
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}
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embConfig = &ssvikingdb.VikingEmbeddingConfig{
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UseVikingEmbedding: false,
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EnableHybrid: false,
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BuiltinEmbedding: builtinEmbedding,
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}
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}
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svc := vikingdb.NewVikingDBService(host, region, ak, sk, scheme)
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mgr, err := ssvikingdb.NewManager(&ssvikingdb.ManagerConfig{
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Service: svc,
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IndexingConfig: nil, // use default config
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EmbeddingConfig: embConfig,
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})
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if err != nil {
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return nil, fmt.Errorf("init vikingdb manager failed, err=%w", err)
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}
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return mgr, nil
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default:
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return nil, fmt.Errorf("unexpected vector store type, type=%s", vsType)
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}
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}
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func getEmbedding(ctx context.Context) (embedding.Embedder, error) {
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var emb embedding.Embedder
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switch os.Getenv("EMBEDDING_TYPE") {
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case "openai":
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var (
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openAIEmbeddingBaseURL = os.Getenv("OPENAI_EMBEDDING_BASE_URL")
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openAIEmbeddingModel = os.Getenv("OPENAI_EMBEDDING_MODEL")
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openAIEmbeddingApiKey = os.Getenv("OPENAI_EMBEDDING_API_KEY")
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openAIEmbeddingByAzure = os.Getenv("OPENAI_EMBEDDING_BY_AZURE")
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openAIEmbeddingApiVersion = os.Getenv("OPENAI_EMBEDDING_API_VERSION")
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openAIEmbeddingDims = os.Getenv("OPENAI_EMBEDDING_DIMS")
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openAIRequestEmbeddingDims = os.Getenv("OPENAI_EMBEDDING_REQUEST_DIMS")
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)
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byAzure, err := strconv.ParseBool(openAIEmbeddingByAzure)
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if err != nil {
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return nil, fmt.Errorf("init openai embedding by_azure failed, err=%w", err)
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}
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dims, err := strconv.ParseInt(openAIEmbeddingDims, 10, 64)
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if err != nil {
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return nil, fmt.Errorf("init openai embedding dims failed, err=%w", err)
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}
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openAICfg := &openai.EmbeddingConfig{
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APIKey: openAIEmbeddingApiKey,
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ByAzure: byAzure,
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BaseURL: openAIEmbeddingBaseURL,
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APIVersion: openAIEmbeddingApiVersion,
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Model: openAIEmbeddingModel,
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// Dimensions: ptr.Of(int(dims)),
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}
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reqDims := conv.StrToInt64D(openAIRequestEmbeddingDims, 0)
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if reqDims > 0 {
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// some openai model not support request dims
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openAICfg.Dimensions = ptr.Of(int(reqDims))
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}
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emb, err = wrap.NewOpenAIEmbedder(ctx, openAICfg, dims)
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if err != nil {
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return nil, fmt.Errorf("init openai embedding failed, err=%w", err)
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}
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case "ark":
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var (
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arkEmbeddingBaseURL = os.Getenv("ARK_EMBEDDING_BASE_URL")
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arkEmbeddingModel = os.Getenv("ARK_EMBEDDING_MODEL")
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arkEmbeddingAK = os.Getenv("ARK_EMBEDDING_AK")
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arkEmbeddingDims = os.Getenv("ARK_EMBEDDING_DIMS")
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)
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dims, err := strconv.ParseInt(arkEmbeddingDims, 10, 64)
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if err != nil {
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return nil, fmt.Errorf("init ark embedding dims failed, err=%w", err)
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}
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emb, err = arkemb.NewArkEmbedder(ctx, &ark.EmbeddingConfig{
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APIKey: arkEmbeddingAK,
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Model: arkEmbeddingModel,
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BaseURL: arkEmbeddingBaseURL,
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}, dims)
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if err != nil {
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return nil, fmt.Errorf("init ark embedding client failed, err=%w", err)
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}
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default:
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return nil, fmt.Errorf("init knowledge embedding failed, type not configured")
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}
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return emb, nil
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}
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func getBuiltinChatModel(ctx context.Context, envPrefix string) (bcm chatmodel.BaseChatModel, configured bool, err error) {
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getEnv := func(key string) string {
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if val := os.Getenv(envPrefix + key); val != "" {
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return val
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}
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return os.Getenv(key)
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}
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switch getEnv("BUILTIN_CM_TYPE") {
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case "openai":
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byAzure, _ := strconv.ParseBool(getEnv("BUILTIN_CM_OPENAI_BY_AZURE"))
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bcm, err = mo.NewChatModel(ctx, &mo.ChatModelConfig{
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APIKey: getEnv("BUILTIN_CM_OPENAI_API_KEY"),
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ByAzure: byAzure,
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BaseURL: getEnv("BUILTIN_CM_OPENAI_BASE_URL"),
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Model: getEnv("BUILTIN_CM_OPENAI_MODEL"),
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})
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case "ark":
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bcm, err = ao.NewChatModel(ctx, &ao.ChatModelConfig{
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APIKey: getEnv("BUILTIN_CM_ARK_API_KEY"),
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Model: getEnv("BUILTIN_CM_ARK_MODEL"),
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BaseURL: getEnv("BUILTIN_CM_ARK_BASE_URL"),
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})
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case "deepseek":
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bcm, err = deepseek.NewChatModel(ctx, &deepseek.ChatModelConfig{
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APIKey: getEnv("BUILTIN_CM_DEEPSEEK_API_KEY"),
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BaseURL: getEnv("BUILTIN_CM_DEEPSEEK_BASE_URL"),
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Model: getEnv("BUILTIN_CM_DEEPSEEK_MODEL"),
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})
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case "ollama":
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bcm, err = ollama.NewChatModel(ctx, &ollama.ChatModelConfig{
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BaseURL: getEnv("BUILTIN_CM_OLLAMA_BASE_URL"),
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Model: getEnv("BUILTIN_CM_OLLAMA_MODEL"),
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})
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case "qwen":
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bcm, err = qwen.NewChatModel(ctx, &qwen.ChatModelConfig{
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APIKey: getEnv("BUILTIN_CM_QWEN_API_KEY"),
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BaseURL: getEnv("BUILTIN_CM_QWEN_BASE_URL"),
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Model: getEnv("BUILTIN_CM_QWEN_MODEL"),
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})
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case "gemini":
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backend, convErr := strconv.ParseInt(getEnv("BUILTIN_CM_GEMINI_BACKEND"), 10, 64)
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if convErr != nil {
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return nil, false, convErr
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}
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c, clientErr := genai.NewClient(ctx, &genai.ClientConfig{
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APIKey: getEnv("BUILTIN_CM_GEMINI_API_KEY"),
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Backend: genai.Backend(backend),
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Project: getEnv("BUILTIN_CM_GEMINI_PROJECT"),
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Location: getEnv("BUILTIN_CM_GEMINI_LOCATION"),
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HTTPOptions: genai.HTTPOptions{
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BaseURL: getEnv("BUILTIN_CM_GEMINI_BASE_URL"),
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},
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})
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if clientErr != nil {
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return nil, false, clientErr
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}
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bcm, err = gemini.NewChatModel(ctx, &gemini.Config{
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Client: c,
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Model: getEnv("BUILTIN_CM_GEMINI_MODEL"),
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})
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default:
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// accept builtin chat model not configured
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}
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if err != nil {
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return nil, false, fmt.Errorf("knowledge init openai chat mode failed, %w", err)
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}
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if bcm != nil {
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configured = true
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}
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return
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}
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func readJinja2PromptTemplate(jsonFilePath string) (prompt.ChatTemplate, error) {
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b, err := os.ReadFile(jsonFilePath)
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if err != nil {
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return nil, err
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}
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var m2qMessages []*schema.Message
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if err = json.Unmarshal(b, &m2qMessages); err != nil {
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return nil, err
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}
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tpl := make([]schema.MessagesTemplate, len(m2qMessages))
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|
for i := range m2qMessages {
|
|
tpl[i] = m2qMessages[i]
|
|
}
|
|
return prompt.FromMessages(schema.Jinja2, tpl...), nil
|
|
}
|