root ce940f4a14 multi_coord_stress: judge re-rates inbox top-1 — recovers honesty signal
Run #007 surfaced a tradeoff: LLM-parsed inbox queries produce much
tighter cosine distances (0.05-0.10 in three cases) but lose the
"system has no good match" signal that high-distance results give.
A coordinator UI showing only distance can't tell wrong-domain
matches apart from real ones.

Fix: judge re-rates top-1 against the ORIGINAL inbox body (not the
LLM-parsed query). Coordinators see both:
  - distance: how close was retrieval in vector space
  - rating:   does this person actually fit the original ask
The pair tells the honest story.

Run #008 result on the 6 inbox events:

  Demand                Top-1     Distance  Rating  Reading
  ─────────────────────────────────────────────────────────────
  Forklift Cleveland    w-3573    0.29      4       Strong
  Production Indy       e-1764    0.41      3       Adjacent
  Crane Chicago         e-7798    0.23      1       TIGHT BUT WRONG
  Bilingual safety Indy w-3918    0.05      5       Perfect
  Drone Chicago         e-1058    0.06      5       Perfect (verify e-1058)
  Warehouse Milwaukee   w-460     0.32      4       Strong

The crane-Chicago case is the architectural-honesty signal at work:
distance 0.23 says "tight match" but the judge says rating 1 reading
the original body. A coordinator seeing only distance would ship the
wrong worker; coordinator seeing distance+rating sees the disagreement
and escalates.

Net distribution: 5/6 rated 3+ (acceptable→perfect), 1/6 rated 1
(irrelevant despite tight cosine). The substrate-honesty signal is
recovered without losing the LLM-parse quality wins.

Cost: 6 extra judge calls (~9s on qwen2.5). Production amortizes
when judge runs only on top-1 of high-priority inbox events; the
search-cost-vs-quality tradeoff lives in the priority gate.

Implementation:
- New JudgeRating int field on Event (omitempty so non-judged
  events stay clean in JSON)
- New judgeInboxResult helper, reusing the same prompt structure as
  playbook_lift's judgeRate. The two could share an internal package
  if a third judge consumer appears.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-30 16:16:49 -05:00

golangLAKEHOUSE

Go reimplementation of the Lakehouse — a versioned knowledge substrate for staffing analytics + local AI workloads.

Status

Phase G0 complete + G1/G1P/G2 shipped. Six binaries plus a seventh (vectord) and an eighth (embedd) on top, fronted by a single gateway. Acceptance smokes green for D1-D6 + G1 + G1P + G2.

End-to-end staffing co-pilot pipeline functional through the gateway:

text → /v1/embed → /v1/vectors/index/<name>/add
text → /v1/embed → /v1/vectors/index/<name>/search → top-K hits

Plus the SQL path:

CSV  → /v1/ingest    (parses, writes Parquet via storaged, registers
                      manifest with catalogd)
SQL  → /v1/sql       (DuckDB over the registered Parquets via httpfs)

See docs/PHASE_G0_KICKOFF.md for the day-by-day record (D1-D6 + real-scale validation + G1/G1P/G2 pointer at the bottom).

Service inventory

Bin Port Role
gateway 3110 Reverse proxy fronting all backing services
storaged 3211 Object I/O over S3 (MinIO in dev)
catalogd 3212 Parquet manifest registry, ADR-020 idempotency
ingestd 3213 CSV → Parquet → register loop
queryd 3214 DuckDB SELECT over registered Parquets via httpfs
vectord 3215 HNSW vector search (+ optional persistence to storaged)
embedd 3216 Text → vector via Ollama (default nomic-embed-text 768-d)
mcpd stdio Model Context Protocol server (Claude Desktop / Code consumers)

MCP server

bin/mcpd exposes Lakehouse capabilities as MCP tools over stdio: list_datasets, get_manifest, query_sql, embed_text, search_vectors. All tools proxy to the gateway, so the gateway must be up first.

Wire into Claude Desktop / Claude Code by adding to the MCP config:

{
  "mcpServers": {
    "lakehouse": {
      "command": "/path/to/golangLAKEHOUSE/bin/mcpd",
      "args": ["--gateway", "http://127.0.0.1:3110"]
    }
  }
}

Replaces the Bun mcp-server.ts MCP-tool surface from the Rust system. HTTP demo routes (the staffing co-pilot UI) stay Bun until G5.

Acceptance smokes

scripts/d1_smoke.sh   # 5-binary skeleton + chi /health + gateway proxy probes
scripts/d2_smoke.sh   # storaged GET/PUT/LIST/DELETE + 256 MiB cap + concurrency cap
scripts/d3_smoke.sh   # catalogd register/manifest/list + rehydrate-across-restart
scripts/d4_smoke.sh   # ingestd CSV → Parquet round-trip + schema-drift 409
scripts/d5_smoke.sh   # queryd DuckDB SELECT through httpfs over MinIO
scripts/d6_smoke.sh   # full ingest → query through gateway only
scripts/g1_smoke.sh   # vectord HNSW recall + dim mismatch + duplicate-create 409
scripts/g1p_smoke.sh  # vectord state survives kill+restart via storaged
scripts/g2_smoke.sh   # embed → vectord add → search round-trip

Or run the full gate via the task runner (see below):

just verify     # vet + tests + 9 smokes; ~33s wall

Task runner

just                 # show available recipes
just verify          # full Sprint 0 gate (vet + tests + 9 smokes)
just smoke <day>     # single smoke (d1..d6, g1, g1p, g2)
just doctor          # check cold-start deps; --json for CI
just install-hooks   # install pre-push hook that runs just verify

After a fresh clone, run just install-hooks once so git push is gated on the same green chain that ran here. Hook lives in .git/hooks/pre-push (not tracked; recreated by the recipe).

Cold-start dependencies

  • Go 1.25+ at /usr/local/go/bin (arrow-go pulled the 1.25 floor)
  • gcc + libc-dev for the DuckDB cgo binding (ADR-001 §1.1)
  • just task runner (apt install just on Debian 13+)
  • MinIO running on :9000 with bucket lakehouse-go-primary
  • Ollama running on :11434 with nomic-embed-text loaded (G2)
  • /etc/lakehouse/secrets-go.toml with [s3.primary] credentials (storaged + queryd both read this)

just doctor probes all of the above and reports the fix command for each missing dep. CI / scripts can use just doctor --json.

Layout

docs/                         Direction + spec + ADRs + day-by-day
cmd/                          One main package per binary
internal/                     Shared packages — storeclient, catalogclient,
                                secrets, shared, embed, gateway, plus
                                per-service implementation packages
scripts/                      Smokes + ancillary tooling

Reading order

  1. docs/PRD.md — what we're building and why
  2. docs/SPEC.md — how, per-component
  3. docs/DECISIONS.md — ADRs (ADR-001 foundational)
  4. docs/PHASE_G0_KICKOFF.md — day-by-day from D1 through G2
  5. docs/RUST_PATHWAY_MEMORY_NOTE.md — historical reference for the Rust era's pathway memory (not migrated, by ADR-001 #5)

Predecessor

The Rust Lakehouse this rewrite supersedes lives at git.agentview.dev/profit/lakehouse. It remains the live system serving devop.live/lakehouse/ until this Go implementation reaches feature parity per docs/SPEC.md §7. Then Rust enters maintenance-only mode.

Description
Go reimplementation of the Lakehouse — versioned knowledge substrate for staffing analytics + local AI workloads
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