root e30da6e5aa §3.8 first slice: workflow runner skeleton + DAG executor + observerd integration
Lands the structural piece of SPEC §3.8 (Observer-KB workflow runner)
documented in 97dd3f8: types + DAG runner + reference substitution +
provenance recording into observerd. Real-mode integrations
(matrix.search, distillation.score, drift.scorer, llm.chat) come in
follow-up commits — this commit proves the mechanics.

internal/workflow/types.go:
  - Workflow / Node / NodeResult / RunResult types matching Archon's
    YAML shape so existing workflows (e.g. lakehouse-architect-review.yaml)
    load directly. Optional `mode` field added — implicit fall-back is
    "llm.chat" matching Archon's convention.
  - Mode signature: func(Context, map[string]any) (map[string]any, error)
  - 4 sentinel errors: ErrCycle, ErrMissingDep, ErrUnknownMode,
    ErrDuplicateNodeID, ErrUnresolvedRef
  - Validate enforces structural invariants: unique IDs, every
    depends_on resolves, no cycles

internal/workflow/runner.go:
  - Kahn's-algorithm topological sort, stable for declaration-order
    ties (deterministic execution + JSON output across runs)
  - Reference substitution: $node_id.output.key.path resolves through
    nested maps; $node_id alone resolves to the whole output map
  - Skip cascade: a node whose dependency failed/skipped is skipped
    with explicit "upstream node X failed" error in NodeResult, never
    silently dropped
  - Per-node provenance: NodeResult.StartedAt + DurationMs captured
    for every execution
  - Mode pre-validation: every node's mode checked against registry
    BEFORE any node runs — typo catches in 5ms not after 6 nodes

internal/workflow/runner_test.go (14 tests, all PASS):
  - Validate: missing name, no nodes, duplicate IDs, missing deps, cycles
  - Run: single node, 3-node DAG with chained $-refs (shape→weakness→improvement),
    failed-node skip cascade with independent siblings still running,
    unknown-mode abort, unresolved-reference error, implicit
    llm.chat fallback, provenance fields populated, inputs (not just
    prompt) honor $-refs, topological-sort stability for ties

cmd/observerd extended:
  - POST /observer/workflow/run executes a workflow, records each
    node's execution as an ObservedOp (source="workflow"), returns
    the full RunResult
  - GET /observer/workflow/modes lists the registered mode names
  - registerBuiltinModes wires fixture.echo + fixture.upper for v0;
    real modes register here in follow-up commits

scripts/workflow_smoke.sh (4 assertions PASS):
  - GET /modes lists fixture.echo + fixture.upper
  - 3-node DAG executes: shape (uppercase "hello world") → weakness
    (sees "HELLO WORLD" via $shape.output.upper ref) → improvement
    (sees "HELLO WORLD" propagated through 2-hop $weakness.output.prompt)
  - /observer/stats shows by_source.workflow == 3 (one per node) and
    total == 3 — provenance lands as expected
  - Unknown mode → 400 with "unknown mode" in error body

17-smoke regression all green. Acceptance gates G3.8.A (Archon-shape
workflow loads + executes topologically) + G3.8.B (per-node ObservedOps)
+ G3.8.C ($prior_node.output ref resolves, error on missing ref) all
satisfied. G3.8.D (in-process matrix.search dispatch) deferred until
a real mode is wired.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 20:34:30 -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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