a1a07e6818
Introduce KnowledgePostProcess task to decouple image multimodal processing from downstream operations like summary, question generation, and knowledge graph extraction. This allows unifying the processing logic across documents and images and ensures all text content, including from images, is properly extracted before post-processing.
183 lines
6.4 KiB
Go
183 lines
6.4 KiB
Go
package service
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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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"time"
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"github.com/Tencent/WeKnora/internal/logger"
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"github.com/Tencent/WeKnora/internal/types"
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"github.com/Tencent/WeKnora/internal/types/interfaces"
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"github.com/hibiken/asynq"
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)
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// KnowledgePostProcessService acts as an orchestrator for all post-processing tasks
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// after a document has been parsed and split into chunks (including multimodal OCR/Caption).
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type KnowledgePostProcessService struct {
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knowledgeRepo interfaces.KnowledgeRepository
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kbService interfaces.KnowledgeBaseService
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chunkService interfaces.ChunkService
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taskEnqueuer interfaces.TaskEnqueuer
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}
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func NewKnowledgePostProcessService(
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knowledgeRepo interfaces.KnowledgeRepository,
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kbService interfaces.KnowledgeBaseService,
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chunkService interfaces.ChunkService,
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taskEnqueuer interfaces.TaskEnqueuer,
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) interfaces.TaskHandler {
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return &KnowledgePostProcessService{
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knowledgeRepo: knowledgeRepo,
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kbService: kbService,
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chunkService: chunkService,
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taskEnqueuer: taskEnqueuer,
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}
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}
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// Handle implements asynq handler for TypeKnowledgePostProcess.
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func (s *KnowledgePostProcessService) Handle(ctx context.Context, task *asynq.Task) error {
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var payload types.KnowledgePostProcessPayload
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if err := json.Unmarshal(task.Payload(), &payload); err != nil {
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return fmt.Errorf("unmarshal knowledge post process payload: %w", err)
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}
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logger.Infof(ctx, "[KnowledgePostProcess] Orchestrating post processing for knowledge: %s", payload.KnowledgeID)
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ctx = context.WithValue(ctx, types.TenantIDContextKey, payload.TenantID)
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if payload.Language != "" {
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ctx = context.WithValue(ctx, types.LanguageContextKey, payload.Language)
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}
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// 1. Fetch Knowledge and KB
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knowledge, err := s.knowledgeRepo.GetKnowledgeByIDOnly(ctx, payload.KnowledgeID)
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if err != nil {
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return fmt.Errorf("get knowledge %s: %w", payload.KnowledgeID, err)
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}
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if knowledge == nil {
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logger.Warnf(ctx, "[KnowledgePostProcess] Knowledge %s not found, aborting.", payload.KnowledgeID)
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return nil
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}
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kb, err := s.kbService.GetKnowledgeBaseByIDOnly(ctx, payload.KnowledgeBaseID)
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if err != nil || kb == nil {
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return fmt.Errorf("get knowledge base %s: %w", payload.KnowledgeBaseID, err)
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}
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// 2. Fetch all chunks
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chunks, err := s.chunkService.ListChunksByKnowledgeID(ctx, payload.KnowledgeID)
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if err != nil {
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return fmt.Errorf("list chunks for knowledge %s: %w", payload.KnowledgeID, err)
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}
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// Gather all text-like chunks (including newly added OCR and Caption from multimodal tasks)
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var textChunks []*types.Chunk
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for _, c := range chunks {
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if c.ChunkType == types.ChunkTypeText || c.ChunkType == types.ChunkTypeImageOCR || c.ChunkType == types.ChunkTypeImageCaption {
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textChunks = append(textChunks, c)
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}
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}
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// 3. Update ParseStatus to Completed
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// (Except if it's already completed or if it was marked as failed/deleting, but we'll just set it to completed if it's processing)
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if knowledge.ParseStatus == types.ParseStatusProcessing {
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knowledge.ParseStatus = types.ParseStatusCompleted
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knowledge.UpdatedAt = time.Now()
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// Setup summary status
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if len(textChunks) > 0 {
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knowledge.SummaryStatus = types.SummaryStatusPending
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} else {
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knowledge.SummaryStatus = types.SummaryStatusNone
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}
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if err := s.knowledgeRepo.UpdateKnowledge(ctx, knowledge); err != nil {
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logger.Warnf(ctx, "[KnowledgePostProcess] Failed to update knowledge status to completed: %v", err)
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} else {
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logger.Infof(ctx, "[KnowledgePostProcess] Knowledge %s marked as completed.", payload.KnowledgeID)
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}
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}
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// 4. Spawn Summary and Question Tasks
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if len(textChunks) > 0 {
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s.enqueueSummaryGenerationTask(ctx, payload)
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s.enqueueQuestionGenerationIfEnabled(ctx, payload, kb)
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}
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// 5. Spawn Graph RAG Tasks
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if kb.ExtractConfig != nil && kb.ExtractConfig.Enabled {
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logger.Infof(ctx, "[KnowledgePostProcess] Spawning Graph RAG extract tasks for %d text-like chunks", len(textChunks))
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for _, chunk := range textChunks {
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err := NewChunkExtractTask(ctx, s.taskEnqueuer, payload.TenantID, chunk.ID, kb.SummaryModelID)
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if err != nil {
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logger.Errorf(ctx, "[KnowledgePostProcess] Failed to create chunk extract task for %s: %v", chunk.ID, err)
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}
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}
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}
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return nil
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}
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func (s *KnowledgePostProcessService) enqueueSummaryGenerationTask(ctx context.Context, payload types.KnowledgePostProcessPayload) {
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if s.taskEnqueuer == nil {
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return
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}
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taskPayload := types.SummaryGenerationPayload{
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TenantID: payload.TenantID,
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KnowledgeBaseID: payload.KnowledgeBaseID,
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KnowledgeID: payload.KnowledgeID,
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Language: payload.Language,
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}
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payloadBytes, err := json.Marshal(taskPayload)
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if err != nil {
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logger.Warnf(ctx, "[KnowledgePostProcess] Failed to marshal summary generation payload: %v", err)
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return
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}
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task := asynq.NewTask(types.TypeSummaryGeneration, payloadBytes, asynq.Queue("low"), asynq.MaxRetry(3))
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if _, err := s.taskEnqueuer.Enqueue(task); err != nil {
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logger.Warnf(ctx, "[KnowledgePostProcess] Failed to enqueue summary generation for %s: %v", payload.KnowledgeID, err)
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} else {
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logger.Infof(ctx, "[KnowledgePostProcess] Enqueued summary generation task for %s", payload.KnowledgeID)
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}
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}
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func (s *KnowledgePostProcessService) enqueueQuestionGenerationIfEnabled(ctx context.Context, payload types.KnowledgePostProcessPayload, kb *types.KnowledgeBase) {
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if s.taskEnqueuer == nil {
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return
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}
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if kb.QuestionGenerationConfig == nil || !kb.QuestionGenerationConfig.Enabled {
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return
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}
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questionCount := kb.QuestionGenerationConfig.QuestionCount
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if questionCount <= 0 {
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questionCount = 3
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}
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if questionCount > 10 {
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questionCount = 10
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}
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taskPayload := types.QuestionGenerationPayload{
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TenantID: payload.TenantID,
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KnowledgeBaseID: payload.KnowledgeBaseID,
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KnowledgeID: payload.KnowledgeID,
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QuestionCount: questionCount,
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Language: payload.Language,
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}
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payloadBytes, err := json.Marshal(taskPayload)
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if err != nil {
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logger.Warnf(ctx, "[KnowledgePostProcess] Failed to marshal question generation payload: %v", err)
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return
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}
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task := asynq.NewTask(types.TypeQuestionGeneration, payloadBytes, asynq.Queue("low"), asynq.MaxRetry(3))
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if _, err := s.taskEnqueuer.Enqueue(task); err != nil {
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logger.Warnf(ctx, "[KnowledgePostProcess] Failed to enqueue question generation for %s: %v", payload.KnowledgeID, err)
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} else {
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logger.Infof(ctx, "[KnowledgePostProcess] Enqueued question generation task for %s (count=%d)", payload.KnowledgeID, questionCount)
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}
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}
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