579 lines
19 KiB
Go
579 lines
19 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 appinfra
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import (
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"context"
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"fmt"
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"net/http"
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"os"
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"strconv"
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"strings"
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"time"
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"google.golang.org/genai"
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"gorm.io/gorm"
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"github.com/cloudwego/eino-ext/components/embedding/gemini"
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"github.com/cloudwego/eino-ext/components/embedding/ollama"
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"github.com/cloudwego/eino-ext/components/embedding/openai"
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"github.com/milvus-io/milvus/client/v2/milvusclient"
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"github.com/volcengine/volc-sdk-golang/service/visual"
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"github.com/coze-dev/coze-studio/backend/application/internal"
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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/coderunner"
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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/parser"
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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/imagex"
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"github.com/coze-dev/coze-studio/backend/infra/contract/modelmgr"
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"github.com/coze-dev/coze-studio/backend/infra/impl/cache/redis"
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"github.com/coze-dev/coze-studio/backend/infra/impl/coderunner/direct"
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"github.com/coze-dev/coze-studio/backend/infra/impl/coderunner/sandbox"
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"github.com/coze-dev/coze-studio/backend/infra/impl/document/ocr/ppocr"
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"github.com/coze-dev/coze-studio/backend/infra/impl/document/ocr/veocr"
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"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/parser/ppstructure"
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"github.com/coze-dev/coze-studio/backend/infra/impl/document/searchstore/elasticsearch"
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"github.com/coze-dev/coze-studio/backend/infra/impl/document/searchstore/milvus"
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"github.com/coze-dev/coze-studio/backend/infra/impl/document/searchstore/vikingdb"
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"github.com/coze-dev/coze-studio/backend/infra/impl/embedding/ark"
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embeddingHttp "github.com/coze-dev/coze-studio/backend/infra/impl/embedding/http"
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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/es"
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"github.com/coze-dev/coze-studio/backend/infra/impl/eventbus"
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"github.com/coze-dev/coze-studio/backend/infra/impl/idgen"
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"github.com/coze-dev/coze-studio/backend/infra/impl/imagex/veimagex"
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"github.com/coze-dev/coze-studio/backend/infra/impl/mysql"
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"github.com/coze-dev/coze-studio/backend/infra/impl/storage"
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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 AppDependencies struct {
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DB *gorm.DB
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CacheCli cache.Cmdable
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IDGenSVC idgen.IDGenerator
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ESClient es.Client
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ImageXClient imagex.ImageX
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TOSClient storage.Storage
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ResourceEventProducer eventbus.Producer
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AppEventProducer eventbus.Producer
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ModelMgr modelmgr.Manager
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CodeRunner coderunner.Runner
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OCR ocr.OCR
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ParserManager parser.Manager
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SearchStoreManagers []searchstore.Manager
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}
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func Init(ctx context.Context) (*AppDependencies, error) {
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deps := &AppDependencies{}
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var err error
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deps.DB, err = mysql.New()
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if err != nil {
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return nil, fmt.Errorf("init db failed, err=%w", err)
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}
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deps.CacheCli = redis.New()
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deps.IDGenSVC, err = idgen.New(deps.CacheCli)
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if err != nil {
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return nil, fmt.Errorf("init id gen svc failed, err=%w", err)
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}
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deps.ESClient, err = es.New()
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if err != nil {
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return nil, fmt.Errorf("init es client failed, err=%w", err)
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}
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deps.ImageXClient, err = initImageX(ctx)
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if err != nil {
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return nil, fmt.Errorf("init imagex client failed, err=%w", err)
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}
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deps.TOSClient, err = initTOS(ctx)
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if err != nil {
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return nil, fmt.Errorf("init tos client failed, err=%w", err)
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}
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deps.ResourceEventProducer, err = initResourceEventBusProducer()
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if err != nil {
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return nil, fmt.Errorf("init resource event bus producer failed, err=%w", err)
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}
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deps.AppEventProducer, err = initAppEventProducer()
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if err != nil {
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return nil, fmt.Errorf("init app event producer failed, err=%w", err)
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}
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deps.ModelMgr, err = initModelMgr()
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if err != nil {
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return nil, fmt.Errorf("init model manager failed, err=%w", err)
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}
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deps.CodeRunner = initCodeRunner()
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deps.OCR = initOCR()
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imageAnnotationModel, _, err := internal.GetBuiltinChatModel(ctx, "IA_")
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if err != nil {
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return nil, fmt.Errorf("get builtin chat model failed, err=%w", err)
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}
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deps.ParserManager, err = initParserManager(deps.TOSClient, deps.OCR, imageAnnotationModel)
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if err != nil {
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return nil, fmt.Errorf("init parser manager failed, err=%w", err)
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}
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deps.SearchStoreManagers, err = initSearchStoreManagers(ctx, deps.ESClient)
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if err != nil {
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return nil, fmt.Errorf("init search store managers failed, err=%w", err)
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}
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return deps, nil
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}
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func initSearchStoreManagers(ctx context.Context, es es.Client) ([]searchstore.Manager, error) {
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// es full text search
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esSearchstoreManager := elasticsearch.NewManager(&elasticsearch.ManagerConfig{Client: 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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return []searchstore.Manager{esSearchstoreManager, mgr}, nil
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}
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func initImageX(ctx context.Context) (imagex.ImageX, error) {
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uploadComponentType := os.Getenv(consts.FileUploadComponentType)
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if uploadComponentType != consts.FileUploadComponentTypeImagex {
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return storage.NewImagex(ctx)
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}
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return veimagex.New(
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os.Getenv(consts.VeImageXAK),
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os.Getenv(consts.VeImageXSK),
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os.Getenv(consts.VeImageXDomain),
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os.Getenv(consts.VeImageXUploadHost),
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os.Getenv(consts.VeImageXTemplate),
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[]string{os.Getenv(consts.VeImageXServerID)},
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)
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}
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func initTOS(ctx context.Context) (storage.Storage, error) {
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return storage.New(ctx)
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}
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func initResourceEventBusProducer() (eventbus.Producer, error) {
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nameServer := os.Getenv(consts.MQServer)
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resourceEventBusProducer, err := eventbus.NewProducer(nameServer,
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consts.RMQTopicResource, consts.RMQConsumeGroupResource, 1)
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if err != nil {
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return nil, fmt.Errorf("init resource producer failed, err=%w", err)
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}
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return resourceEventBusProducer, nil
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}
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func initAppEventProducer() (eventbus.Producer, error) {
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nameServer := os.Getenv(consts.MQServer)
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appEventProducer, err := eventbus.NewProducer(nameServer, consts.RMQTopicApp, consts.RMQConsumeGroupApp, 1)
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if err != nil {
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return nil, fmt.Errorf("init app producer failed, err=%w", err)
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}
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return appEventProducer, nil
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}
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func initCodeRunner() coderunner.Runner {
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switch typ := os.Getenv(consts.CodeRunnerType); typ {
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case "sandbox":
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getAndSplit := func(key string) []string {
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v := os.Getenv(key)
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if v == "" {
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return nil
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}
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return strings.Split(v, ",")
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}
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config := &sandbox.Config{
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AllowEnv: getAndSplit(consts.CodeRunnerAllowEnv),
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AllowRead: getAndSplit(consts.CodeRunnerAllowRead),
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AllowWrite: getAndSplit(consts.CodeRunnerAllowWrite),
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AllowNet: getAndSplit(consts.CodeRunnerAllowNet),
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AllowRun: getAndSplit(consts.CodeRunnerAllowRun),
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AllowFFI: getAndSplit(consts.CodeRunnerAllowFFI),
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NodeModulesDir: os.Getenv(consts.CodeRunnerNodeModulesDir),
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TimeoutSeconds: 0,
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MemoryLimitMB: 0,
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}
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if f, err := strconv.ParseFloat(os.Getenv(consts.CodeRunnerTimeoutSeconds), 64); err == nil {
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config.TimeoutSeconds = f
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} else {
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config.TimeoutSeconds = 60.0
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}
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if mem, err := strconv.ParseInt(os.Getenv(consts.CodeRunnerMemoryLimitMB), 10, 64); err == nil {
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config.MemoryLimitMB = mem
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} else {
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config.MemoryLimitMB = 100
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}
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return sandbox.NewRunner(config)
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default:
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return direct.NewRunner()
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}
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}
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func initOCR() ocr.OCR {
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var ocr ocr.OCR
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switch os.Getenv(consts.OCRType) {
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case "ve":
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ocrAK := os.Getenv(consts.VeOCRAK)
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ocrSK := os.Getenv(consts.VeOCRSK)
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if ocrAK == "" || ocrSK == "" {
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logs.Warnf("[ve_ocr] ak / sk not configured, ocr might not work well")
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}
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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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ocr = veocr.NewOCR(&veocr.Config{Client: inst})
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case "paddleocr":
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url := os.Getenv(consts.PPOCRAPIURL)
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client := &http.Client{}
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ocr = ppocr.NewOCR(&ppocr.Config{Client: client, URL: url})
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default:
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// accept ocr not configured
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}
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return ocr
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}
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func initParserManager(storage storage.Storage, ocr ocr.OCR, imageAnnotationModel chatmodel.BaseChatModel) (parser.Manager, error) {
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var parserManager parser.Manager
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parserType := os.Getenv(consts.ParserType)
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switch parserType {
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case "builtin", "":
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parserManager = builtin.NewManager(storage, ocr, imageAnnotationModel)
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case "paddleocr":
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url := os.Getenv(consts.PPStructureAPIURL)
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client := &http.Client{}
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apiConfig := &ppstructure.APIConfig{
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Client: client,
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URL: url,
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}
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parserManager = ppstructure.NewManager(apiConfig, ocr, storage, imageAnnotationModel)
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default:
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return nil, fmt.Errorf("parser type %s not supported", parserType)
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}
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return parserManager, 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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ctx, 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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user := os.Getenv("MILVUS_USER")
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password := os.Getenv("MILVUS_PASSWORD")
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mc, err := milvusclient.New(ctx, &milvusclient.ClientConfig{
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Address: milvusAddr,
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Username: user,
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Password: password,
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})
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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 := milvus.NewManager(&milvus.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 *vikingdb.VikingEmbeddingConfig
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if modelName != "" {
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embName := vikingdb.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 = &vikingdb.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 = &vikingdb.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 := vikingdb.NewManager(&vikingdb.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 batchSize int
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if bs, err := strconv.ParseInt(os.Getenv("EMBEDDING_MAX_BATCH_SIZE"), 10, 64); err != nil {
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logs.CtxWarnf(ctx, "EMBEDDING_MAX_BATCH_SIZE not set / invalid, using default batchSize=100")
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batchSize = 100
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} else {
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batchSize = int(bs)
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}
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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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|
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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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|
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emb, err = wrap.NewOpenAIEmbedder(ctx, openAICfg, dims, batchSize)
|
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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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|
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case "ark":
|
|
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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arkEmbeddingApiKey = os.Getenv("ARK_EMBEDDING_API_KEY")
|
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// deprecated: use ARK_EMBEDDING_API_KEY instead
|
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// ARK_EMBEDDING_AK will be removed in the future
|
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arkEmbeddingAK = os.Getenv("ARK_EMBEDDING_AK")
|
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arkEmbeddingDims = os.Getenv("ARK_EMBEDDING_DIMS")
|
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arkEmbeddingAPIType = os.Getenv("ARK_EMBEDDING_API_TYPE")
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)
|
|
|
|
dims, err := strconv.ParseInt(arkEmbeddingDims, 10, 64)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("init ark embedding dims failed, err=%w", err)
|
|
}
|
|
|
|
apiType := ark.APITypeText
|
|
if arkEmbeddingAPIType != "" {
|
|
if t := ark.APIType(arkEmbeddingAPIType); t != ark.APITypeText && t != ark.APITypeMultiModal {
|
|
return nil, fmt.Errorf("init ark embedding api_type failed, invalid api_type=%s", t)
|
|
} else {
|
|
apiType = t
|
|
}
|
|
}
|
|
|
|
emb, err = ark.NewArkEmbedder(ctx, &ark.EmbeddingConfig{
|
|
APIKey: func() string {
|
|
if arkEmbeddingApiKey != "" {
|
|
return arkEmbeddingApiKey
|
|
}
|
|
return arkEmbeddingAK
|
|
}(),
|
|
Model: arkEmbeddingModel,
|
|
BaseURL: arkEmbeddingBaseURL,
|
|
APIType: &apiType,
|
|
}, dims, batchSize)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("init ark embedding client failed, err=%w", err)
|
|
}
|
|
|
|
case "ollama":
|
|
var (
|
|
ollamaEmbeddingBaseURL = os.Getenv("OLLAMA_EMBEDDING_BASE_URL")
|
|
ollamaEmbeddingModel = os.Getenv("OLLAMA_EMBEDDING_MODEL")
|
|
ollamaEmbeddingDims = os.Getenv("OLLAMA_EMBEDDING_DIMS")
|
|
)
|
|
|
|
dims, err := strconv.ParseInt(ollamaEmbeddingDims, 10, 64)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("init ollama embedding dims failed, err=%w", err)
|
|
}
|
|
|
|
emb, err = wrap.NewOllamaEmbedder(ctx, &ollama.EmbeddingConfig{
|
|
BaseURL: ollamaEmbeddingBaseURL,
|
|
Model: ollamaEmbeddingModel,
|
|
}, dims, batchSize)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("init ollama embedding failed, err=%w", err)
|
|
}
|
|
case "gemini":
|
|
var (
|
|
geminiEmbeddingBaseURL = os.Getenv("GEMINI_EMBEDDING_BASE_URL")
|
|
geminiEmbeddingModel = os.Getenv("GEMINI_EMBEDDING_MODEL")
|
|
geminiEmbeddingApiKey = os.Getenv("GEMINI_EMBEDDING_API_KEY")
|
|
geminiEmbeddingDims = os.Getenv("GEMINI_EMBEDDING_DIMS")
|
|
geminiEmbeddingBackend = os.Getenv("GEMINI_EMBEDDING_BACKEND") // "1" for BackendGeminiAPI / "2" for BackendVertexAI
|
|
geminiEmbeddingProject = os.Getenv("GEMINI_EMBEDDING_PROJECT")
|
|
geminiEmbeddingLocation = os.Getenv("GEMINI_EMBEDDING_LOCATION")
|
|
)
|
|
|
|
if len(geminiEmbeddingModel) == 0 {
|
|
return nil, fmt.Errorf("GEMINI_EMBEDDING_MODEL environment variable is required")
|
|
}
|
|
if len(geminiEmbeddingApiKey) == 0 {
|
|
return nil, fmt.Errorf("GEMINI_EMBEDDING_API_KEY environment variable is required")
|
|
}
|
|
if len(geminiEmbeddingDims) == 0 {
|
|
return nil, fmt.Errorf("GEMINI_EMBEDDING_DIMS environment variable is required")
|
|
}
|
|
if len(geminiEmbeddingBackend) == 0 {
|
|
return nil, fmt.Errorf("GEMINI_EMBEDDING_BACKEND environment variable is required")
|
|
}
|
|
|
|
dims, convErr := strconv.ParseInt(geminiEmbeddingDims, 10, 64)
|
|
if convErr != nil {
|
|
return nil, fmt.Errorf("invalid GEMINI_EMBEDDING_DIMS value: %s, err=%w", geminiEmbeddingDims, convErr)
|
|
}
|
|
|
|
backend, convErr := strconv.ParseInt(geminiEmbeddingBackend, 10, 64)
|
|
if convErr != nil {
|
|
return nil, fmt.Errorf("invalid GEMINI_EMBEDDING_BACKEND value: %s, err=%w", geminiEmbeddingBackend, convErr)
|
|
}
|
|
|
|
geminiCli, err := genai.NewClient(ctx, &genai.ClientConfig{
|
|
APIKey: geminiEmbeddingApiKey,
|
|
Backend: genai.Backend(backend),
|
|
Project: geminiEmbeddingProject,
|
|
Location: geminiEmbeddingLocation,
|
|
HTTPOptions: genai.HTTPOptions{
|
|
BaseURL: geminiEmbeddingBaseURL,
|
|
},
|
|
})
|
|
if err != nil {
|
|
return nil, fmt.Errorf("init gemini client failed, err=%w", err)
|
|
}
|
|
|
|
emb, err = wrap.NewGeminiEmbedder(ctx, &gemini.EmbeddingConfig{
|
|
Client: geminiCli,
|
|
Model: geminiEmbeddingModel,
|
|
OutputDimensionality: ptr.Of(int32(dims)),
|
|
}, dims, batchSize)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("init gemini embedding failed, err=%w", err)
|
|
}
|
|
case "http":
|
|
var (
|
|
httpEmbeddingBaseURL = os.Getenv("HTTP_EMBEDDING_ADDR")
|
|
httpEmbeddingDims = os.Getenv("HTTP_EMBEDDING_DIMS")
|
|
)
|
|
dims, err := strconv.ParseInt(httpEmbeddingDims, 10, 64)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("init http embedding dims failed, err=%w", err)
|
|
}
|
|
emb, err = embeddingHttp.NewEmbedding(httpEmbeddingBaseURL, dims, batchSize)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("init http embedding failed, err=%w", err)
|
|
}
|
|
|
|
default:
|
|
return nil, fmt.Errorf("init knowledge embedding failed, type not configured")
|
|
}
|
|
|
|
return emb, nil
|
|
}
|