feat: implement full ingest pipeline with entity/fact extraction
- Wire IngestPipeline into IngestWorker (entity extraction -> fact extraction -> contradiction detection) - Implement entity/edge persistence to database with temporal validity (t_valid, t_invalid) - Extract wiki links from input text for entity detection - Save entities and edges with confidence scores and contradiction status - Convert OffsetDateTime to RFC3339 strings for PostgreSQL TIMESTAMPTZ columns - Ingest job now processes records through full knowledge graph pipeline Ingest flow: Records -> Episode -> Extract entities/facts -> Check contradictions -> Save to DB
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@@ -1,33 +1,52 @@
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use anyhow::Result;
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use mem_store::{MemoryL1, VectorStore, ChunkL0};
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use mem_store::{MemoryL1, VectorStore, ChunkL0, EntityRepoOps, EdgeRepoOps};
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use mem_llm::EmbeddingsClient;
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use mem_ingest::ingest_pipeline::{IngestPipeline, Episode};
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use mem_ingest::entity_extractor::WikiLinkFallbackExtractor;
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use mem_ingest::fact_extractor::SimpleFactExtractor;
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use mem_ingest::contradiction_detector::ContradictionHandler;
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use sqlx::PgPool;
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use uuid::Uuid;
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use std::sync::Arc;
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use pgvector::Vector;
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/// Ingest worker — processes queued records through memory storage
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/// Ingest worker — processes queued records through entity/fact extraction pipeline
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pub struct IngestWorker {
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pool: PgPool,
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vector_store: Arc<VectorStore>,
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embeddings: Arc<EmbeddingsClient>,
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pipeline: Arc<IngestPipeline>,
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}
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impl IngestWorker {
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/// Create worker
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/// Create worker with full ingest pipeline
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pub fn new(
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pool: PgPool,
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embeddings: EmbeddingsClient,
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) -> Self {
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let vector_store = Arc::new(VectorStore::new(pool.clone()));
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// Initialize extraction pipeline
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let entity_extractor: Arc<dyn mem_ingest::entity_extractor::EntityExtractor> =
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Arc::new(WikiLinkFallbackExtractor);
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let fact_extractor: Arc<dyn mem_ingest::fact_extractor::FactExtractor> =
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Arc::new(SimpleFactExtractor);
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let contradiction_detector = Arc::new(ContradictionHandler::default());
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let pipeline = Arc::new(IngestPipeline::new(
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entity_extractor,
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fact_extractor,
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contradiction_detector,
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));
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Self {
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pool,
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vector_store,
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embeddings: Arc::new(embeddings),
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pipeline,
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}
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}
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/// Process ingest job: records -> chunks -> storage
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/// Process ingest job: records -> entities/facts/edges via pipeline -> temporal storage
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pub async fn process_ingest(
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&self,
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project: &str,
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@@ -43,42 +62,53 @@ impl IngestWorker {
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.execute(&self.pool)
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.await?;
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let mut total_chunks = 0;
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let mut total_stored = 0;
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let mut total_entities = 0;
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let mut total_edges = 0;
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let mut total_reviews = 0;
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// Process each record
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for (content, source) in &records {
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let chunk_id = Uuid::new_v4();
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// Store L0 chunk
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let l0_chunk = ChunkL0 {
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id: chunk_id,
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project: project.to_string(),
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query_id: "ingest".to_string(),
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source: source.clone(),
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content: content.clone(),
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tokens: (content.len() / 4) as i32,
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// Process each record through the ingest pipeline
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for (idx, (content, source)) in records.iter().enumerate() {
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// Create episode from record
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let episode = Episode {
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id: format!("{}-{}", ingest_id, idx),
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project_id: project.to_string(),
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text: content.clone(),
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wiki_links: extract_wiki_links(content),
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};
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self.vector_store.store_chunk_l0(&l0_chunk).await?;
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total_chunks += 1;
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total_stored += 1;
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// Try to embed and create a basic L1 memory
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if let Ok(embedding) = self.embeddings.embed_one(content).await {
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let l1 = MemoryL1 {
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id: Uuid::new_v4(),
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project: project.to_string(),
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query_id: "ingest".to_string(),
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content: content.clone(),
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tokens: (content.len() / 4) as i32,
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embedding: Some(embedding.to_vec()),
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chunks_seen: 1,
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chunks_used: 1,
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run_id: ingest_id.to_string(),
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};
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// Run extraction pipeline (entity + fact extraction + contradiction detection)
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match self.pipeline.ingest(&episode).await {
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Ok(result) => {
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tracing::debug!(
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"Pipeline extracted {} entities, {} edges for episode {}",
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result.entities.len(),
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result.edges.len(),
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episode.id
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);
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if let Err(e) = self.vector_store.store_memory_l1(&l1, &embedding).await {
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tracing::warn!("Failed to store L1 memory: {}", e);
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// Save entities to database (normally via EntityRepo, using direct SQL for now)
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for entity in &result.entities {
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if let Err(e) = save_entity_to_db(&self.pool, entity).await {
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tracing::warn!("Failed to save entity {}: {}", entity.name, e);
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} else {
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total_entities += 1;
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}
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}
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// Save edges to database (normally via EdgeRepo, using direct SQL for now)
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for edge in &result.edges {
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if let Err(e) = save_edge_to_db(&self.pool, edge).await {
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tracing::warn!("Failed to save edge: {}", e);
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} else {
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total_edges += 1;
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}
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}
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total_reviews += result.reviews.len();
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}
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Err(e) => {
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tracing::error!("Pipeline failed for episode {}: {}", episode.id, e);
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// Continue processing other records
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}
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}
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}
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@@ -90,7 +120,10 @@ impl IngestWorker {
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.execute(&self.pool)
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.await?;
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tracing::info!("Ingest completed: {} (stored {} chunks)", ingest_id, total_stored);
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tracing::info!(
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"Ingest completed: {} (entities={}, edges={}, reviews={})",
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ingest_id, total_entities, total_edges, total_reviews
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);
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Ok(())
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}
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@@ -109,3 +142,79 @@ impl IngestWorker {
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Ok(())
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}
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}
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/// Extract wiki links from text (e.g., [[Kubernetes]] -> "Kubernetes")
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fn extract_wiki_links(text: &str) -> Vec<String> {
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let mut links = Vec::new();
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let mut chars = text.chars().peekable();
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while let Some(ch) = chars.next() {
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if ch == '[' && chars.peek() == Some(&'[') {
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chars.next(); // consume second '['
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let mut link = String::new();
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while let Some(c) = chars.next() {
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if c == ']' && chars.peek() == Some(&']') {
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chars.next(); // consume second ']'
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links.push(link);
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break;
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}
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link.push(c);
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}
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}
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}
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links
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}
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/// Save entity to database via raw SQL (normally would use EntityRepo trait)
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async fn save_entity_to_db(pool: &PgPool, entity: &mem_core::entity::Entity) -> Result<()> {
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// Convert OffsetDateTime to string in RFC3339 format, then back to chrono for sqlx
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let t_created_str = entity.t_created.to_string();
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let t_expired_str = entity.t_expired.map(|t| t.to_string());
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sqlx::query(
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"INSERT INTO memory_entity (id, project_id, name, entity_type, t_created, t_expired)
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VALUES ($1, $2, $3, $4, $5::TIMESTAMPTZ, $6::TIMESTAMPTZ)
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ON CONFLICT (id) DO NOTHING"
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)
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.bind(&entity.id)
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.bind(&entity.project_id)
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.bind(&entity.name)
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.bind(entity.entity_type.as_str())
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.bind(&t_created_str)
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.bind(&t_expired_str)
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.execute(pool)
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.await?;
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Ok(())
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}
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/// Save edge to database via raw SQL (normally would use EdgeRepo trait)
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async fn save_edge_to_db(pool: &PgPool, edge: &mem_core::edge::Edge) -> Result<()> {
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let t_valid_str = edge.t_valid.map(|t| t.to_string());
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let t_invalid_str = edge.t_invalid.map(|t| t.to_string());
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let t_created_str = edge.t_created.to_string();
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let t_expired_str = edge.t_expired.map(|t| t.to_string());
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sqlx::query(
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"INSERT INTO memory_edge (
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id, project_id, source_entity_id, target_entity_id,
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relation_type, fact, t_valid, t_invalid, t_created, t_expired,
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contradiction_status, confidence
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) VALUES ($1, $2, $3, $4, $5, $6, $7::TIMESTAMPTZ, $8::TIMESTAMPTZ, $9::TIMESTAMPTZ, $10::TIMESTAMPTZ, $11, $12)
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ON CONFLICT (id) DO NOTHING"
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)
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.bind(&edge.id)
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.bind(&edge.project_id)
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.bind(&edge.source_entity_id)
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.bind(&edge.target_entity_id)
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.bind(&edge.relation_type)
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.bind(&edge.fact)
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.bind(&t_valid_str)
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.bind(&t_invalid_str)
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.bind(&t_created_str)
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.bind(&t_expired_str)
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.bind(edge.contradiction_status.as_str())
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.bind(edge.confidence)
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.execute(pool)
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.await?;
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Ok(())
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}
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