sendnrw/glpi-neural-brain
2
0
Fork 0
Code Issues 1 Pull Requests Actions Packages Projects Releases Wiki Activity

Update 5 - SearXNG
release-tag / release-image (push) Successful in 1m38s
Details

Browse Source
This commit is contained in:
groot
2026-08-04 15:02:31 +02:00
parent 5387563e4e
commit 7e36c2f3f0
11 changed files with 496 additions and 32 deletions
Download Patch File Download Diff File Expand all files Collapse all files
internal/engine/article.go
+39 -6
View File
@@ -105,7 +105,6 @@ func (e *Engine) synthesizeKnowledgeArticle(ctx context.Context, trigger string,
return articleSynthesisOutcome{Skipped: true, Reason: "required_research_empty", Action: plan.Action}, nil
}
researchResults = append(researchResults, results...)
e.addResearchToSources(selected, results)
brief, err = e.buildKnowledgeBrief(ctx, selected, researchResults)
if err != nil {
return articleSynthesisOutcome{}, fmt.Errorf("knowledge consolidation after research failed: %w", err)
@@ -460,16 +459,30 @@ func (e *Engine) researchKnowledgeGaps(ctx context.Context, trigger string, node
if query == "" {
continue
}
e.Broker.Publish(model.Activity{Type: "article.research.started", Source: "brain", Phase: "knowledge-research", NodeIDs: nodeIDs, Message: "Ein ungeklärter fachlicher Punkt wird recherchiert", Strength: .9, Metadata: map[string]any{"trigger": trigger, "research_query": query}})
researchID := newResearchRunID("article-research", query)
started := time.Now()
startMetadata := map[string]any{"trigger": trigger, "research_id": researchID, "research_query": query, "animation_min_ms": 2000}
e.Broker.Publish(model.Activity{Type: "article.research.started", Source: "searxng", Phase: "knowledge-research", NodeIDs: nodeIDs, Message: "Ein ungeklärter fachlicher Punkt wird mit SearXNG recherchiert", Strength: .9, Metadata: startMetadata})
resultLimit := e.Cfg.ArticleResearchResults
if resultLimit < 1 {
resultLimit = 4
}
results, err := e.Research.Search(ctx, query, resultLimit)
if err != nil {
e.Broker.Publish(model.Activity{Type: "article.research.failed", Source: "brain", Phase: "knowledge-research", NodeIDs: nodeIDs, Message: "Die ergänzende Artikelrecherche ist fehlgeschlagen", Strength: .35, Metadata: map[string]any{"trigger": trigger, "research_query": query, "error": err.Error()}})
e.Broker.Publish(model.Activity{Type: "article.research.failed", Source: "searxng", Phase: "knowledge-research", NodeIDs: nodeIDs, Message: "Die ergänzende Artikelrecherche ist fehlgeschlagen", Strength: .35, Metadata: mergeResearchMetadata(startMetadata, map[string]any{"error": err.Error(), "duration_ms": time.Since(started).Milliseconds()})})
return nil, err
}
resultMetadata := researchEventMetadata(trigger, researchID, query, results, time.Since(started))
message := fmt.Sprintf("SearXNG hat %d Quellen für den offenen Wissenspunkt geliefert", len(results))
if len(results) == 0 {
message = "SearXNG hat für den offenen Wissenspunkt keine verwertbare Quelle geliefert"
}
e.Broker.Publish(model.Activity{Type: "article.research.results", Source: "searxng", Phase: "knowledge-research-results", NodeIDs: nodeIDs, Message: message, Strength: .94, Metadata: resultMetadata})
if len(results) > 0 {
refs := e.addResearchToNodeIDs(nodeIDs, results)
ingestMetadata := mergeResearchMetadata(resultMetadata, map[string]any{"result_node_ids": refs.NodeIDs, "result_edge_ids": refs.EdgeIDs, "source_node_ids": nodeIDs})
e.Broker.Publish(model.Activity{Type: "article.research.ingested", Source: "searxng", Phase: "knowledge-research-ingest", NodeIDs: append(append([]string{}, nodeIDs...), refs.NodeIDs...), EdgeIDs: refs.EdgeIDs, Message: fmt.Sprintf("%d recherchierte Quellen wurden als neue Forschungs-Nodes verknüpft", len(refs.NodeIDs)), Strength: 1, Metadata: ingestMetadata})
}
for _, result := range results {
key := strings.TrimSpace(result.URL)
if key == "" {
@@ -957,14 +970,34 @@ func (e *Engine) learnRuntimeArticle(ctx context.Context, articleID string) {
e.Broker.Publish(model.Activity{Type: "article.learned", Source: "ollama", Phase: "embedding", NodeIDs: []string{nodeID}, Message: "Der neue KB-Artikel wurde eingebettet und ist sofort für Verknüpfungen verfügbar", Strength: .62, Metadata: map[string]any{"article_id": articleID, "model": e.Cfg.EmbeddingModel, "dimensions": len(vecs[0])}})
}
func (e *Engine) addResearchToSources(sources []articleSource, results []model.ResearchResult) {
func (e *Engine) addResearchToNodeIDs(nodeIDs []string, results []model.ResearchResult) researchGraphRefs {
refs := researchGraphRefs{}
for _, result := range results {
id := graph.ID("external", result.URL)
e.Graph.UpsertNode(model.Node{ID: id, Kind: "external", Label: result.Title, Summary: clamp(result.Content, 900), Status: "research", Origin: "research", ExternalID: result.URL, URI: result.URL, Weight: .8, UpdatedAt: time.Now().UTC()})
for _, source := range sources {
e.Graph.UpsertEdge(model.Edge{Source: id, Target: source.Node.ID, Type: "research_evidence", Origin: "research", Status: "staging", Confidence: .55, Weight: .4})
refs.NodeIDs = append(refs.NodeIDs, id)
for _, targetID := range nodeIDs {
edge := model.Edge{Source: id, Target: targetID, Type: "research_evidence", Origin: "research", Status: "staging", Confidence: .55, Weight: .4}
e.Graph.UpsertEdge(edge)
refs.EdgeIDs = append(refs.EdgeIDs, graph.EdgeID(edge.Source, edge.Target, edge.Type, edge.Origin))
}
}
return uniqueResearchRefs(refs)
}
func (e *Engine) addResearchToSources(sources []articleSource, results []model.ResearchResult) researchGraphRefs {
refs := researchGraphRefs{}
for _, result := range results {
id := graph.ID("external", result.URL)
e.Graph.UpsertNode(model.Node{ID: id, Kind: "external", Label: result.Title, Summary: clamp(result.Content, 900), Status: "research", Origin: "research", ExternalID: result.URL, URI: result.URL, Weight: .8, UpdatedAt: time.Now().UTC()})
refs.NodeIDs = append(refs.NodeIDs, id)
for _, source := range sources {
edge := model.Edge{Source: id, Target: source.Node.ID, Type: "research_evidence", Origin: "research", Status: "staging", Confidence: .55, Weight: .4}
e.Graph.UpsertEdge(edge)
refs.EdgeIDs = append(refs.EdgeIDs, graph.EdgeID(edge.Source, edge.Target, edge.Type, edge.Origin))
}
}
return uniqueResearchRefs(refs)
}
func formatArticleAnswer(draft model.KnowledgeArticleDraft) string {