# Phase Tracker

## Phase 0: Bootstrap ✅
- [x] Cargo workspace with all crate stubs compiling
- [x] `shared` crate: error types, ObjectRef, DatasetId
- [x] `gateway` with Axum: GET /health → 200
- [x] tracing + tracing-subscriber wired in gateway
- [x] justfile with build, test, run recipes
- [x] docs committed to git

## Phase 1: Storage + Catalog ✅
- [x] storaged: object_store backend init (LocalFileSystem)
- [x] storaged: Axum endpoints (PUT/GET/DELETE/LIST)
- [x] shared/arrow_helpers.rs: RecordBatch ↔ Parquet + schema fingerprinting
- [x] catalogd/registry.rs: in-memory index + manifest persistence
- [x] catalogd service: POST/GET /datasets + by-name
- [x] gateway routes wired

## Phase 2: Query Engine ✅
- [x] queryd: SessionContext + object_store config
- [x] queryd: ListingTable from catalog ObjectRefs
- [x] queryd service: POST /query/sql → JSON
- [x] queryd → catalogd wiring
- [x] gateway routes /query

## Phase 3: AI Integration ✅
- [x] Python sidecar: FastAPI + Ollama (embed/generate/rerank)
- [x] Dockerfile for sidecar
- [x] aibridge/client.rs: HTTP client
- [x] aibridge service: Axum proxy endpoints
- [x] Model config via env vars

## Phase 4: Frontend ✅
- [x] Dioxus scaffold, WASM build
- [x] Ask tab: natural language → AI SQL → results
- [x] Explore tab: dataset browser + AI summary
- [x] SQL tab: raw DataFusion editor
- [x] System tab: health checks for all services

## Phase 5: Hardening ✅
- [x] Proto definitions (lakehouse.proto)
- [x] Internal gRPC: CatalogService on :3101
- [x] OpenTelemetry tracing: stdout exporter
- [x] Auth middleware: X-API-Key (toggleable)
- [x] Config-driven startup: lakehouse.toml

## Phase 6: Ingest Pipeline ✅
- [x] CSV ingest with auto schema detection
- [x] JSON ingest (array + newline-delimited, nested flattening)
- [x] PDF text extraction (lopdf)
- [x] Text/SMS file ingest
- [x] Content hash dedup (SHA-256)
- [x] POST /ingest/file multipart upload
- [x] 12 unit tests

## Phase 7: Vector Index + RAG ✅
- [x] chunker: configurable size + overlap, sentence-boundary aware
- [x] store: embeddings as Parquet (binary f32 vectors)
- [x] search: brute-force cosine similarity
- [x] rag: embed → search → retrieve → LLM answer with citations
- [x] POST /vectors/index, /search, /rag
- [x] Background job system with progress tracking
- [x] Dual-pipeline supervisor with checkpointing + retry
- [x] 100K embeddings: 177/sec on A4000, zero failures
- [x] 6 unit tests

## Phase 8: Hot Cache + Incremental Updates ✅
- [x] MemTable hot cache: LRU, configurable max (16GB)
- [x] POST /query/cache/pin, /cache/evict, GET /cache/stats
- [x] Delta store: append-only delta Parquet files
- [x] Merge-on-read: queries combine base + deltas
- [x] Compaction: POST /query/compact
- [x] Benchmarked: 9.8x speedup (1M rows: 942ms → 96ms)

## Phase 8.5: Agent Workspaces ✅
- [x] WorkspaceManager with daily/weekly/monthly/pinned tiers
- [x] Saved searches, shortlists, activity logs per workspace
- [x] Instant zero-copy handoff between agents
- [x] Persistence to object storage, rebuild on startup

## Phase 9: Event Journal ✅
- [x] journald crate: append-only mutation log
- [x] Event schema: entity, field, old/new value, actor, source, workspace
- [x] In-memory buffer with auto-flush to Parquet
- [x] GET /journal/history/{entity_id}, /recent, /stats
- [x] POST /journal/event, /update, /flush

## Phase 10: Rich Catalog v2 ✅
- [x] DatasetManifest: description, owner, sensitivity, columns, lineage, freshness, tags
- [x] PII auto-detection: email, phone, SSN, salary, address, medical
- [x] Column-level metadata with sensitivity flags
- [x] Lineage tracking: source_system → ingest_job → dataset
- [x] PATCH /catalog/datasets/by-name/{name}/metadata
- [x] Backward compatible (serde default)

## Phase 11: Embedding Versioning ✅
- [x] IndexRegistry: model_name, model_version, dimensions per index
- [x] Index metadata persisted as JSON, rebuilt on startup
- [x] GET /vectors/indexes — list all (filter by source/model)
- [x] GET /vectors/indexes/{name} — metadata
- [x] Background jobs auto-register metadata on completion

## Phase 12: Tool Registry ✅
- [x] 6 built-in staffing tools (search_candidates, get_candidate, revenue_by_client, recruiter_performance, cold_leads, open_jobs)
- [x] Parameter validation + SQL template substitution
- [x] Permission levels: read / write / admin
- [x] Full audit trail per invocation
- [x] GET /tools, GET /tools/{name}, POST /tools/{name}/call, GET /tools/audit

## Phase 13: Security & Access Control ✅
- [x] Role-based access: admin, recruiter, analyst, agent
- [x] Field-level sensitivity enforcement
- [x] Column masking determination per agent
- [x] Query audit logging
- [x] GET/POST /access/roles, GET /access/audit, POST /access/check

## Phase 14: Schema Evolution ✅
- [x] Schema diff detection (added, removed, type changed, renamed)
- [x] Fuzzy rename detection (shared word parts)
- [x] Auto-generated migration rules with confidence scores
- [x] AI migration prompt builder for complex cases
- [x] 5 unit tests

## Phase 15+: Horizon ⬜
- [ ] HNSW vector index (100K search: 4.5s → <50ms)
- [ ] Federated multi-bucket query
- [ ] Database connector ingest (Postgres/MySQL)
- [ ] PDF OCR (Tesseract)
- [ ] Scheduled ingest (cron)
- [ ] Fine-tuned domain models
- [ ] Multi-node query distribution

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**30 unit tests | 11 crates | 16 ADRs | 2.47M rows | 100K vectors | All built 2026-03-27**