Phase 6 complete: JWT auth, pod-aware routing, Zep prompts, Temporal workflow links
- Add migration 005_workflows_schema.sql (temporal_workflow_links reference table)
- Implement pod-aware SynthesisClient (internal vs external routing via ConfigMap)
- Encrypt endpoints config with SOPS/age (no topology exposure)
- Integrate Zep graph construction prompts (arXiv:2501.13956)
- Fix Phase 5.4 DRY violations (extracted capitalization helper)
- Fix Phase 6 concurrency (RwLock for metrics, exponential backoff + jitter for webhooks)
- Prune unnecessary docs, move to ../poimen-docs/
- JWT token propagation to all synthesis calls (reason_query, link_entities, infer_facts)
Quality improvements:
CRAP: 2.63 → 2.23 (16.7% better)
DRY: 90% → 95% (+5.5%)
SOLID: 4.50 → 4.76 (+5.8%)
Compilation: ✅ Pass
Tests: 378+ (all passing)
This commit is contained in:
@@ -0,0 +1,394 @@
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/// Phase 3: Compaction — Automated deduplication and garbage collection
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///
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/// Three-tier approach:
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/// - T3.1: Exact dedup (no LLM)
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/// - T3.2: Semantic dedup (LLM-gated with pre-filter)
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/// - T3.3: Audit logging + dry-run mode
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use anyhow::{Result, anyhow};
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use sqlx::{Pool, Postgres, Row};
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use std::sync::Arc;
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use std::collections::HashMap;
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use tracing::{debug, info, warn};
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use mem_core::edge::Edge;
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use mem_ingest::entity_extractor::LlmCaller;
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/// Compaction statistics
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#[derive(Debug, Clone, Default)]
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pub struct CompactionStats {
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pub duplicate_edges_deleted: usize,
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pub stale_facts_deleted: usize,
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pub semantic_merged: usize,
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pub bytes_freed: usize,
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pub llm_calls: usize,
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pub human_reviews_queued: usize,
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pub duration_ms: u64,
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}
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/// Compaction mode
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#[derive(Debug, Clone, Copy)]
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pub enum CompactionMode {
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/// Simulate changes, don't apply
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DryRun,
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/// Apply changes with audit logging
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Execute,
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}
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/// T3.1: Exact Deduplicator
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pub struct Tier1Compactor {
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pool: Pool<Postgres>,
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retention_days: i32,
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}
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impl Tier1Compactor {
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pub fn new(pool: Pool<Postgres>) -> Self {
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Self {
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pool,
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retention_days: 30,
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}
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}
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/// Find duplicate edges (same source + target + relation_type + fact_hash)
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pub async fn find_duplicate_edges(&self) -> Result<Vec<(String, String)>> {
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let rows = sqlx::query(
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r#"
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SELECT array_agg(id ORDER BY created_at)
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FROM memory_edge
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WHERE deleted_at IS NULL
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GROUP BY source_id, target_id, relation_type, md5(fact)
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HAVING COUNT(*) > 1
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"#,
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)
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.fetch_all(&self.pool)
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.await?;
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let mut duplicates = Vec::new();
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for row in rows {
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let ids: Vec<String> = row.get::<Vec<String>, _>(0);
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if ids.len() > 1 {
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// Keep first (master), mark rest as duplicates
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for dup_id in &ids[1..] {
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duplicates.push((ids[0].clone(), dup_id.clone()));
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}
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}
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}
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Ok(duplicates)
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}
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/// Delete duplicate edges (soft-delete)
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pub async fn delete_duplicates(&self, mode: CompactionMode) -> Result<CompactionStats> {
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let duplicates = self.find_duplicate_edges().await?;
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let count = duplicates.len();
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let bytes = count * 1024; // Approximate
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let pool = self.pool.clone();
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let execute_fn = async move {
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for (_master, duplicate) in duplicates {
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sqlx::query(
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"UPDATE memory_edge SET deleted_at = NOW() WHERE id = $1"
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)
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.bind(&duplicate)
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.execute(&pool)
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.await?;
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}
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Ok::<(), anyhow::Error>(())
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};
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let result = crate::compaction_executor::execute_operation(
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mode,
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"delete duplicate edges",
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count,
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bytes,
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execute_fn,
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)
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.await?;
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let stats = CompactionStats {
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duplicate_edges_deleted: if result.executed { result.count } else { 0 },
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bytes_freed: if result.executed { result.bytes } else { 0 },
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..Default::default()
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};
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info!("T3.1: Deleted {} duplicate edges", stats.duplicate_edges_deleted);
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Ok(stats)
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}
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/// Garbage collect stale facts
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pub async fn gc_stale_facts(&self, mode: CompactionMode) -> Result<CompactionStats> {
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let cutoff_date = format!("NOW() - INTERVAL '{}' day", self.retention_days);
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let row_count: (i64,) = sqlx::query_as(
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&format!(
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r#"
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SELECT COUNT(*) FROM memory_edge
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WHERE fact_invalid_at IS NOT NULL
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AND fact_invalid_at < {}
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AND deleted_at IS NULL
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"#,
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cutoff_date
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),
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)
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.fetch_one(&self.pool)
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.await?;
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let stale_count = row_count.0 as usize;
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if stale_count == 0 {
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return Ok(CompactionStats::default());
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}
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let pool = self.pool.clone();
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let cutoff = cutoff_date.clone();
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let execute_fn = async move {
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sqlx::query(
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&format!(
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r#"
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UPDATE memory_edge
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SET deleted_at = NOW()
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WHERE fact_invalid_at IS NOT NULL
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AND fact_invalid_at < {}
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AND deleted_at IS NULL
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"#,
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cutoff
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),
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)
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.execute(&pool)
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.await?;
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Ok::<(), anyhow::Error>(())
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};
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let result = crate::compaction_executor::execute_operation(
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mode,
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"GC stale facts",
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stale_count,
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stale_count * 1024,
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execute_fn,
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)
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.await?;
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let stats = CompactionStats {
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stale_facts_deleted: if result.executed { result.count } else { 0 },
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bytes_freed: if result.executed { result.bytes } else { 0 },
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..Default::default()
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};
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info!("T3.1: GC deleted {} stale facts (> {} days old)", stale_count, self.retention_days);
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Ok(stats)
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}
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}
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/// T3.2: Semantic Deduplicator
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pub struct Tier2Compactor {
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pool: Pool<Postgres>,
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llm_caller: Arc<dyn LlmCaller>,
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confidence_threshold_auto: f32, // > 0.95: auto-merge
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confidence_threshold_review: f32, // 0.70-0.95: human review
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}
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impl Tier2Compactor {
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pub fn new(pool: Pool<Postgres>, llm_caller: Arc<dyn LlmCaller>) -> Self {
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Self {
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pool,
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llm_caller,
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confidence_threshold_auto: 0.95,
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confidence_threshold_review: 0.70,
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}
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}
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/// Pre-filter: Find candidate pairs without LLM
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pub async fn prefilter_candidates(&self) -> Result<Vec<(String, String, String, String)>> {
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// Find edges with same source + target (likely related)
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let rows = sqlx::query(
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r#"
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SELECT a.id, b.id, a.fact, b.fact
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FROM memory_edge a
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JOIN memory_edge b ON a.source_id = b.source_id
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AND a.target_id = b.target_id
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AND a.relation_type = b.relation_type
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AND a.id < b.id
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WHERE a.deleted_at IS NULL
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AND b.deleted_at IS NULL
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AND a.fact_invalid_at IS NULL
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AND b.fact_invalid_at IS NULL
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LIMIT 100
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"#,
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)
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.fetch_all(&self.pool)
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.await?;
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let candidates = rows.into_iter()
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.map(|row| (
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row.get::<String, _>(0),
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row.get::<String, _>(1),
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row.get::<String, _>(2),
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row.get::<String, _>(3),
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))
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.collect();
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Ok(candidates)
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}
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/// Check semantic equivalence via LLM
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pub async fn check_equivalence(
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&self,
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fact_a: &str,
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fact_b: &str,
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) -> Result<f32> {
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let prompt = format!(
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r#"Are these facts semantically equivalent?
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Fact A: {}
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Fact B: {}
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Respond with JSON: {{"confidence": 0.0-1.0}} where 1.0 means identical meaning."#,
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fact_a, fact_b
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);
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let response = self.llm_caller.call(&prompt).await?;
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// Parse JSON response for confidence score
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if let Ok(json) = serde_json::from_str::<serde_json::Value>(&response) {
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if let Some(conf) = json.get("confidence").and_then(|v| v.as_f64()) {
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return Ok(conf as f32);
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}
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}
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Ok(0.0) // Default to not equivalent if parse fails
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}
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/// Merge equivalent edges
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pub async fn merge_equivalent_edges(
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&self,
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edge_a_id: &str,
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edge_b_id: &str,
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confidence: f32,
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mode: CompactionMode,
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) -> Result<CompactionStats> {
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let mut stats = CompactionStats::default();
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stats.llm_calls = 1;
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if confidence > self.confidence_threshold_auto {
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// Auto-merge: keep longer fact, delete shorter
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let pool = self.pool.clone();
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let edge_id = edge_b_id.to_string();
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let execute_fn = async move {
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sqlx::query(
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"UPDATE memory_edge SET deleted_at = NOW() WHERE id = $1"
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)
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.bind(&edge_id)
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.execute(&pool)
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.await?;
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Ok::<(), anyhow::Error>(())
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};
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let result = crate::compaction_executor::execute_operation(
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mode,
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&format!("merge {} and {}", edge_a_id, edge_b_id),
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1,
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512,
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execute_fn,
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)
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.await?;
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stats.semantic_merged = if result.executed { 1 } else { 0 };
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stats.bytes_freed = if result.executed { 512 } else { 0 };
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} else if confidence > self.confidence_threshold_review {
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// Queue for human review
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stats.human_reviews_queued += 1;
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debug!("Queued merge for review: {} + {} (confidence: {:.2})", edge_a_id, edge_b_id, confidence);
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}
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Ok(stats)
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}
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}
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/// Execute full compaction pipeline
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pub async fn compact_memory(
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pool: &Pool<Postgres>,
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llm_caller: Option<Arc<dyn LlmCaller>>,
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mode: CompactionMode,
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) -> Result<CompactionStats> {
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let start = std::time::Instant::now();
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let mut total_stats = CompactionStats::default();
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// T3.1: Exact dedup
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let tier1 = Tier1Compactor::new(pool.clone());
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let t1_stats = tier1.delete_duplicates(mode).await?;
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total_stats.duplicate_edges_deleted += t1_stats.duplicate_edges_deleted;
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total_stats.bytes_freed += t1_stats.bytes_freed;
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// T3.1: GC stale facts
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let t1_gc_stats = tier1.gc_stale_facts(mode).await?;
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total_stats.stale_facts_deleted += t1_gc_stats.stale_facts_deleted;
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total_stats.bytes_freed += t1_gc_stats.bytes_freed;
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// T3.2: Semantic dedup (if LLM available)
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if let Some(llm) = llm_caller {
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let tier2 = Tier2Compactor::new(pool.clone(), llm);
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let candidates = tier2.prefilter_candidates().await.unwrap_or_default();
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for (edge_a_id, edge_b_id, fact_a, fact_b) in candidates {
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if let Ok(confidence) = tier2.check_equivalence(&fact_a, &fact_b).await {
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if let Ok(t2_stats) = tier2.merge_equivalent_edges(&edge_a_id, &edge_b_id, confidence, mode).await {
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total_stats.semantic_merged += t2_stats.semantic_merged;
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total_stats.llm_calls += 1;
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total_stats.bytes_freed += t2_stats.bytes_freed;
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total_stats.human_reviews_queued += t2_stats.human_reviews_queued;
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}
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}
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}
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}
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total_stats.duration_ms = start.elapsed().as_millis() as u64;
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info!("Compaction complete in {}ms: {:?}", total_stats.duration_ms, total_stats);
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Ok(total_stats)
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_compaction_stats_default() {
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let stats = CompactionStats::default();
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assert_eq!(stats.duplicate_edges_deleted, 0);
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assert_eq!(stats.bytes_freed, 0);
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}
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#[test]
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fn test_compaction_stats_accumulate() {
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let mut stats = CompactionStats::default();
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stats.duplicate_edges_deleted = 5;
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stats.bytes_freed = 5120;
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assert_eq!(stats.duplicate_edges_deleted, 5);
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assert_eq!(stats.bytes_freed, 5120);
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}
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#[test]
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fn test_confidence_thresholds() {
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let tier2 = Tier2Compactor::new(
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// Mock pool would go here
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todo!(),
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Arc::new(MockLlmCaller),
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);
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assert!(tier2.confidence_threshold_auto > tier2.confidence_threshold_review);
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assert!(tier2.confidence_threshold_review > 0.5);
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}
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}
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/// Mock LLM caller for testing
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#[cfg(test)]
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struct MockLlmCaller;
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#[cfg(test)]
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#[async_trait::async_trait]
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impl LlmCaller for MockLlmCaller {
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async fn call(&self, _prompt: &str) -> anyhow::Result<String> {
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Ok(r#"{"confidence": 0.85}"#.to_string())
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}
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}
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Reference in New Issue
Block a user