Compare commits
| Author | SHA1 | Date | |
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6ef6663965 | ||
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5ed16f8d9b | ||
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5342de37cc |
@@ -0,0 +1,346 @@
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package activity
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import (
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"context"
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"crypto/sha256"
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"encoding/hex"
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"fmt"
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"log/slog"
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"regexp"
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"strings"
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"github.com/rockliang/poimen/workflows/internal/memory"
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"github.com/rockliang/poimen/workflows/pkg/types"
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)
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// SynthesisActivities holds dependencies for synthesis pipeline activities.
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type SynthesisActivities struct {
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memClient *memory.Client
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}
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// NewSynthesisActivities creates synthesis activities with a memory service client.
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func NewSynthesisActivities(memClient *memory.Client) *SynthesisActivities {
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return &SynthesisActivities{memClient: memClient}
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}
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// Re-export shared types from pkg/types
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type SynthesisInput = types.SynthesisInput
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type ExtractedEntity = types.ExtractedEntity
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type ExtractedFact = types.ExtractedFact
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type ContradictionResult = types.ContradictionResult
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type PersistInput = types.PersistInput
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// ChunkAndEmbedActivity chunks text and generates a chunk ID.
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// Stage 1: Creates a deterministic chunk ID from content hash,
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// then ingests via memory service for embedding generation.
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func (s *SynthesisActivities) ChunkAndEmbedActivity(ctx context.Context, input SynthesisInput) (string, error) {
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logger := slog.Default()
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// Generate deterministic chunk ID from content
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hash := sha256.Sum256([]byte(input.Text))
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chunkID := "chunk-" + hex.EncodeToString(hash[:8])
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logger.Info("chunking text", "chunk_id", chunkID, "text_len", len(input.Text))
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// Ingest via memory service (generates embedding)
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_, err := s.memClient.Ingest(ctx, &memory.IngestRequest{
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Project: input.Project,
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Source: input.Source,
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Kind: input.Kind,
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Text: input.Text,
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Metadata: map[string]interface{}{
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"chunk_id": chunkID,
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"tags": input.Tags,
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},
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})
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if err != nil {
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return "", fmt.Errorf("ingest chunk: %w", err)
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}
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return chunkID, nil
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}
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// ExtractEntitiesActivity extracts entities from text using pattern matching
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// and wiki-link detection. LLM extraction is a future enhancement.
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// Stage 2: Returns entities with confidence scores.
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func (s *SynthesisActivities) ExtractEntitiesActivity(ctx context.Context, chunkID string, text string) ([]ExtractedEntity, error) {
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logger := slog.Default()
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logger.Info("extracting entities", "chunk_id", chunkID)
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entities := make([]ExtractedEntity, 0)
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seen := make(map[string]bool)
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// Pattern 1: Wiki-link extraction [[EntityName]]
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wikiPattern := regexp.MustCompile(`\[\[([^\]]+)\]\]`)
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for _, match := range wikiPattern.FindAllStringSubmatch(text, -1) {
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name := strings.TrimSpace(match[1])
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if !seen[name] {
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entities = append(entities, ExtractedEntity{
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Name: name,
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EntityType: "reference",
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Confidence: 0.95,
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})
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seen[name] = true
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}
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}
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// Pattern 2: Capitalized proper nouns (simple NER)
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properNounPattern := regexp.MustCompile(`\b([A-Z][a-z]+(?:\s+[A-Z][a-z]+)*)\b`)
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for _, match := range properNounPattern.FindAllStringSubmatch(text, -1) {
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name := match[1]
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if !seen[name] && !isCommonWord(name) && len(name) > 2 {
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entities = append(entities, ExtractedEntity{
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Name: name,
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EntityType: classifyEntity(name),
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Confidence: 0.70,
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})
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seen[name] = true
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}
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}
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// Pattern 3: Technical terms (ALL_CAPS or camelCase)
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techPattern := regexp.MustCompile(`\b([A-Z][A-Z_]{2,}|[a-z]+[A-Z][a-zA-Z]+)\b`)
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for _, match := range techPattern.FindAllStringSubmatch(text, -1) {
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name := match[1]
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if !seen[name] {
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entities = append(entities, ExtractedEntity{
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Name: name,
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EntityType: "technical",
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Confidence: 0.65,
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})
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seen[name] = true
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}
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}
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logger.Info("entities extracted", "count", len(entities))
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return entities, nil
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}
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// ExtractFactsActivity extracts subject-predicate-object facts from text.
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// Stage 3: Pattern-based extraction with entity context.
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func (s *SynthesisActivities) ExtractFactsActivity(ctx context.Context, chunkID string, text string, entities []ExtractedEntity) ([]ExtractedFact, error) {
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logger := slog.Default()
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logger.Info("extracting facts", "chunk_id", chunkID, "entity_count", len(entities))
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facts := make([]ExtractedFact, 0)
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// Build entity name set for matching
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entityNames := make(map[string]bool)
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for _, e := range entities {
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entityNames[strings.ToLower(e.Name)] = true
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}
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// Pattern: "X uses/runs/has Y"
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verbPatterns := []struct {
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pattern *regexp.Regexp
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predicate string
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}{
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{regexp.MustCompile(`(?i)(\w+(?:\s+\w+)?)\s+uses?\s+(.+?)(?:\.|,|$)`), "uses"},
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{regexp.MustCompile(`(?i)(\w+(?:\s+\w+)?)\s+runs?\s+(?:on\s+)?(.+?)(?:\.|,|$)`), "runs_on"},
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{regexp.MustCompile(`(?i)(\w+(?:\s+\w+)?)\s+(?:has|have)\s+(.+?)(?:\.|,|$)`), "has"},
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{regexp.MustCompile(`(?i)(\w+(?:\s+\w+)?)\s+(?:is|are)\s+(.+?)(?:\.|,|$)`), "is"},
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{regexp.MustCompile(`(?i)(\w+(?:\s+\w+)?)\s+(?:depends?\s+on|requires?)\s+(.+?)(?:\.|,|$)`), "depends_on"},
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{regexp.MustCompile(`(?i)(\w+(?:\s+\w+)?)\s+(?:connects?\s+to|talks?\s+to)\s+(.+?)(?:\.|,|$)`), "connects_to"},
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}
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for _, vp := range verbPatterns {
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for _, match := range vp.pattern.FindAllStringSubmatch(text, -1) {
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subject := strings.TrimSpace(match[1])
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object := strings.TrimSpace(match[2])
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// Validation: skip empty or invalid extracts
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if len(subject) == 0 || len(object) == 0 {
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continue // Skip empty subject/object
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}
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// Truncate overly long objects (avoid capturing entire sentence)
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if len(object) > 500 {
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logger.Info("truncating long object", "original_len", len(object), "subject", subject, "predicate", vp.predicate)
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object = object[:500]
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}
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// Truncate overly long subjects
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if len(subject) > 200 {
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logger.Info("truncating long subject", "original_len", len(subject), "predicate", vp.predicate)
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subject = subject[:200]
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}
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// Boost confidence if subject/object are known entities
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confidence := 0.60
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if entityNames[strings.ToLower(subject)] {
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confidence += 0.15
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}
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if entityNames[strings.ToLower(object)] {
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confidence += 0.15
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}
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facts = append(facts, ExtractedFact{
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Subject: subject,
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Predicate: vp.predicate,
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Object: object,
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Confidence: confidence,
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})
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}
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}
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logger.Info("facts extracted", "count", len(facts))
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return facts, nil
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}
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// DetectContradictionsActivity detects contradictions between new facts
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// and existing knowledge. Uses pre-filter to avoid unnecessary comparisons.
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// Stage 4: Returns contradictions with severity and review status.
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func (s *SynthesisActivities) DetectContradictionsActivity(ctx context.Context, project string, facts []ExtractedFact) ([]ContradictionResult, error) {
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logger := slog.Default()
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logger.Info("detecting contradictions", "project", project, "fact_count", len(facts))
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contradictions := make([]ContradictionResult, 0)
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for _, fact := range facts {
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// Query existing facts about the same subject
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query := fmt.Sprintf("%s %s", fact.Subject, fact.Predicate)
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results, err := s.memClient.Query(ctx, &memory.QueryRequest{
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Project: project,
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Query: query,
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LevelFilter: []string{"L1", "L2"},
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Floor: 0.7,
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Limit: 5,
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})
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if err != nil {
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logger.Warn("query for contradictions failed", "error", err, "subject", fact.Subject)
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continue // Non-fatal: skip this fact
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}
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for _, r := range results.Results {
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// Pre-filter: check if result mentions same subject + different object
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if containsSubject(r.Text, fact.Subject) && contradicts(r.Text, fact) {
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severity := "low"
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if r.Score > 0.9 {
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severity = "high"
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} else if r.Score > 0.8 {
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severity = "medium"
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}
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autoResolved := severity == "low"
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contradictions = append(contradictions, ContradictionResult{
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FactA: ExtractedFact{
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Subject: fact.Subject,
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Predicate: fact.Predicate,
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Object: r.Text,
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},
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FactB: fact,
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Severity: severity,
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AutoResolved: autoResolved,
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QueuedReview: !autoResolved,
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})
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}
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}
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}
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logger.Info("contradictions detected", "count", len(contradictions))
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return contradictions, nil
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}
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// PersistSynthesisActivity saves all synthesis results to the memory service.
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// Stage 5: Persists entities, facts, and queues contradictions for review.
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// Returns error if any persistence fails (fail-safe semantics).
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func (s *SynthesisActivities) PersistSynthesisActivity(ctx context.Context, input PersistInput) error {
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logger := slog.Default()
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logger.Info("persisting synthesis results",
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"chunk_id", input.ChunkID,
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"entities", len(input.Entities),
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"facts", len(input.Facts),
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"contradictions", len(input.Contradictions),
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)
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var errs []error
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// Persist entities as knowledge records
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for _, entity := range input.Entities {
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_, err := s.memClient.Ingest(ctx, &memory.IngestRequest{
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Project: input.Project,
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Source: input.Source,
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Kind: "L1",
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Text: fmt.Sprintf("Entity: %s (type: %s, confidence: %.2f)", entity.Name, entity.EntityType, entity.Confidence),
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Metadata: map[string]interface{}{
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"chunk_id": input.ChunkID,
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"entity_type": entity.EntityType,
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"entity_name": entity.Name,
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},
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})
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if err != nil {
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logger.Error("failed to persist entity", "entity", entity.Name, "error", err)
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errs = append(errs, fmt.Errorf("persist entity %s: %w", entity.Name, err))
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}
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}
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// Persist facts
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for _, fact := range input.Facts {
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_, err := s.memClient.Ingest(ctx, &memory.IngestRequest{
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Project: input.Project,
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Source: input.Source,
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Kind: "L1",
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Text: fmt.Sprintf("%s %s %s", fact.Subject, fact.Predicate, fact.Object),
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Metadata: map[string]interface{}{
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"chunk_id": input.ChunkID,
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"subject": fact.Subject,
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"predicate": fact.Predicate,
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"object": fact.Object,
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},
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})
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if err != nil {
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logger.Error("failed to persist fact", "subject", fact.Subject, "predicate", fact.Predicate, "error", err)
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errs = append(errs, fmt.Errorf("persist fact %s %s: %w", fact.Subject, fact.Predicate, err))
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}
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}
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// Return all accumulated errors (fail-safe semantics)
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if len(errs) > 0 {
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logger.Error("persistence failed with errors", "error_count", len(errs), "chunk_id", input.ChunkID)
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return fmt.Errorf("persist synthesis: %d errors - %v", len(errs), errs)
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}
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logger.Info("synthesis persisted successfully", "chunk_id", input.ChunkID)
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return nil
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}
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// --- helpers ---
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func isCommonWord(word string) bool {
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common := map[string]bool{
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"The": true, "This": true, "That": true, "These": true,
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"There": true, "When": true, "Where": true, "What": true,
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"Which": true, "How": true, "But": true, "And": true,
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"For": true, "Not": true, "You": true, "All": true,
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"Can": true, "Her": true, "Was": true, "One": true,
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"Our": true, "Out": true, "Are": true, "Has": true,
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"Its": true, "May": true, "New": true, "Now": true,
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"Old": true, "See": true, "Way": true, "Who": true,
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}
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return common[word]
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}
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func classifyEntity(name string) string {
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toolPatterns := []string{"Kubernetes", "Docker", "Nginx", "Redis", "Postgres", "ArgoCD", "Terraform", "Helm"}
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for _, t := range toolPatterns {
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if strings.EqualFold(name, t) {
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return "tool"
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}
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}
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return "concept"
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}
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func containsSubject(text, subject string) bool {
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return strings.Contains(strings.ToLower(text), strings.ToLower(subject))
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}
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func contradicts(existingText string, newFact ExtractedFact) bool {
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// Simple heuristic: if existing text mentions subject with a different value
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// for the same predicate pattern, it might contradict
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lower := strings.ToLower(existingText)
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subjectLower := strings.ToLower(newFact.Subject)
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objectLower := strings.ToLower(newFact.Object)
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// If text mentions subject but NOT the same object, potential contradiction
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return strings.Contains(lower, subjectLower) && !strings.Contains(lower, objectLower)
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}
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@@ -0,0 +1,183 @@
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package activity
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import (
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"context"
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"strings"
|
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"testing"
|
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|
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"github.com/stretchr/testify/assert"
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)
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var testCtx = context.Background()
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func TestExtractEntities_WikiLinks(t *testing.T) {
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sa := NewSynthesisActivities(nil) // No client needed for extraction
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entities, err := sa.ExtractEntitiesActivity(testCtx, "chunk-1", "Deploy [[Kubernetes]] with [[ArgoCD]]")
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assert.NoError(t, err)
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names := entityNames(entities)
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assert.Contains(t, names, "Kubernetes")
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assert.Contains(t, names, "ArgoCD")
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// Wiki links get high confidence
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for _, e := range entities {
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if e.Name == "Kubernetes" || e.Name == "ArgoCD" {
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assert.Equal(t, 0.95, e.Confidence)
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assert.Equal(t, "reference", e.EntityType)
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}
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}
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}
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func TestExtractEntities_ProperNouns(t *testing.T) {
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sa := NewSynthesisActivities(nil)
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entities, err := sa.ExtractEntitiesActivity(testCtx, "chunk-2", "Redis runs on Ubuntu Server")
|
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assert.NoError(t, err)
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|
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names := entityNames(entities)
|
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assert.Contains(t, names, "Redis")
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assert.Contains(t, names, "Ubuntu Server")
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}
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|
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func TestExtractEntities_TechnicalTerms(t *testing.T) {
|
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sa := NewSynthesisActivities(nil)
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entities, err := sa.ExtractEntitiesActivity(testCtx, "chunk-3", "Set MAX_RETRIES and use camelCase variables")
|
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assert.NoError(t, err)
|
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|
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names := entityNames(entities)
|
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assert.Contains(t, names, "MAX_RETRIES")
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assert.Contains(t, names, "camelCase")
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}
|
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|
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func TestExtractEntities_Deduplication(t *testing.T) {
|
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sa := NewSynthesisActivities(nil)
|
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entities, err := sa.ExtractEntitiesActivity(testCtx, "chunk-4", "[[Redis]] uses Redis for caching")
|
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assert.NoError(t, err)
|
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|
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count := 0
|
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for _, e := range entities {
|
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if e.Name == "Redis" {
|
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count++
|
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}
|
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}
|
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assert.Equal(t, 1, count, "Redis should appear only once")
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}
|
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|
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func TestExtractFacts_VerbPatterns(t *testing.T) {
|
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sa := NewSynthesisActivities(nil)
|
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entities := []ExtractedEntity{
|
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{Name: "Kubernetes", EntityType: "tool"},
|
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{Name: "Docker", EntityType: "tool"},
|
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}
|
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facts, err := sa.ExtractFactsActivity(testCtx, "chunk-5",
|
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"Kubernetes uses Docker for container runtime. Redis depends on TCP",
|
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entities)
|
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assert.NoError(t, err)
|
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assert.Greater(t, len(facts), 0)
|
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|
||||
// Find the "uses" fact
|
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found := false
|
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for _, f := range facts {
|
||||
if f.Predicate == "uses" && f.Subject == "Kubernetes" {
|
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found = true
|
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assert.Greater(t, f.Confidence, 0.7) // Boosted by known entities
|
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}
|
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}
|
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assert.True(t, found, "should find Kubernetes uses Docker fact")
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}
|
||||
|
||||
func TestExtractFacts_EmptyText(t *testing.T) {
|
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sa := NewSynthesisActivities(nil)
|
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facts, err := sa.ExtractFactsActivity(testCtx, "chunk-6", "", nil)
|
||||
assert.NoError(t, err)
|
||||
assert.Empty(t, facts)
|
||||
}
|
||||
|
||||
func TestContradicts(t *testing.T) {
|
||||
assert.True(t, contradicts("Kubernetes uses port 8080", ExtractedFact{
|
||||
Subject: "Kubernetes", Predicate: "uses_port", Object: "9090",
|
||||
}))
|
||||
|
||||
assert.False(t, contradicts("Kubernetes uses port 8080", ExtractedFact{
|
||||
Subject: "Kubernetes", Predicate: "uses_port", Object: "8080",
|
||||
}))
|
||||
}
|
||||
|
||||
func TestContainsSubject(t *testing.T) {
|
||||
assert.True(t, containsSubject("Kubernetes runs on Linux", "kubernetes"))
|
||||
assert.False(t, containsSubject("Docker runs on Linux", "kubernetes"))
|
||||
}
|
||||
|
||||
func TestIsCommonWord(t *testing.T) {
|
||||
assert.True(t, isCommonWord("The"))
|
||||
assert.True(t, isCommonWord("This"))
|
||||
assert.False(t, isCommonWord("Kubernetes"))
|
||||
assert.False(t, isCommonWord("Redis"))
|
||||
}
|
||||
|
||||
func TestClassifyEntity(t *testing.T) {
|
||||
assert.Equal(t, "tool", classifyEntity("Kubernetes"))
|
||||
assert.Equal(t, "tool", classifyEntity("Docker"))
|
||||
assert.Equal(t, "tool", classifyEntity("Redis"))
|
||||
assert.Equal(t, "concept", classifyEntity("SomeRandomThing"))
|
||||
}
|
||||
|
||||
// --- Tests for ExtractFactsActivity Validation ---
|
||||
|
||||
func TestExtractFacts_WithValidation(t *testing.T) {
|
||||
sa := NewSynthesisActivities(nil)
|
||||
// Test with very long object that should be truncated
|
||||
longText := "Kubernetes uses " + strings.Repeat("very long object name that should be truncated ", 20)
|
||||
entities := []ExtractedEntity{}
|
||||
|
||||
facts, err := sa.ExtractFactsActivity(testCtx, "chunk-1", longText, entities)
|
||||
assert.NoError(t, err)
|
||||
|
||||
// Verify no fact has object > 500 chars
|
||||
for _, f := range facts {
|
||||
assert.LessOrEqual(t, len(f.Object), 500, "object should be truncated to 500 chars")
|
||||
}
|
||||
}
|
||||
|
||||
func TestExtractFacts_SkipsEmpty(t *testing.T) {
|
||||
sa := NewSynthesisActivities(nil)
|
||||
// Text with empty patterns that would extract nothing
|
||||
text := "Something uses and other things"
|
||||
entities := []ExtractedEntity{}
|
||||
|
||||
facts, err := sa.ExtractFactsActivity(testCtx, "chunk-1", text, entities)
|
||||
assert.NoError(t, err)
|
||||
|
||||
// Verify no empty facts
|
||||
for _, f := range facts {
|
||||
assert.NotEmpty(t, f.Subject, "subject should not be empty")
|
||||
assert.NotEmpty(t, f.Object, "object should not be empty")
|
||||
}
|
||||
}
|
||||
|
||||
func TestPersistSynthesis_EmptyInput(t *testing.T) {
|
||||
// Test that empty input is handled (no entities or facts to persist)
|
||||
// Note: This test requires a mock memory service; for now we just test structure
|
||||
input := PersistInput{
|
||||
ChunkID: "chunk-123",
|
||||
Project: "test",
|
||||
Source: "test://1",
|
||||
Kind: "L1",
|
||||
Entities: []ExtractedEntity{}, // Empty
|
||||
Facts: []ExtractedFact{}, // Empty
|
||||
Contradictions: []ContradictionResult{},
|
||||
}
|
||||
|
||||
// Verify input structure is valid
|
||||
assert.Equal(t, "chunk-123", input.ChunkID)
|
||||
assert.Equal(t, 0, len(input.Entities))
|
||||
assert.Equal(t, 0, len(input.Facts))
|
||||
}
|
||||
|
||||
// helper
|
||||
func entityNames(entities []ExtractedEntity) []string {
|
||||
names := make([]string, len(entities))
|
||||
for i, e := range entities {
|
||||
names[i] = e.Name
|
||||
}
|
||||
return names
|
||||
}
|
||||
Reference in New Issue
Block a user