plan: VSA precision tiers, father-grandfather compression, DU-4/DU-5 shipped#244
Conversation
## Summary
- Add `SqlDialect` enum (`Default`, `Spark`, `PostgreSql`, `MySql`,
`Sqlite`) and `SparkDialect` implementation using DataFusion's unparser
`Dialect` trait
- Refactor `to_sql()` to accept an optional `dialect` parameter instead
of a separate method per dialect
- Add Python API support: `query.to_sql(datasets, dialect="spark")`
### Spark SQL dialect differences
- Backtick identifier quoting
- `STRING` type instead of `VARCHAR`
- `EXTRACT(field FROM expr)` for date parts
- `LENGTH()` instead of `CHARACTER_LENGTH()`
- `TIMESTAMP` without timezone info
- Subqueries in FROM require aliases
### Usage
**Rust:**
```rust
use lance_graph::{CypherQuery, SqlDialect};
let sql = query.to_sql(datasets, Some(SqlDialect::Spark)).await?;
```
**Python:**
```python
sql = query.to_sql(datasets, dialect="spark")
```
## Test plan
- [x] 7 new Spark SQL integration tests (backtick quoting, filters,
relationships, complex queries, dialect comparison, PostgreSQL dialect)
- [x] 5 unit tests for SparkDialect trait implementation
- [x] 12 existing `to_sql` tests updated and passing
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Yu Chen <yu.chen@databricks.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This PR excludes the `lance-graph-python` package in the `cargo build`, since it needs to be built by maturin. The issue would cause build errors in the MacOS. A similar fix has also been applied in the `lance` project https://github.com/lance-format/lance/blob/main/Cargo.toml#L25
…eleton
Implements the BBB (blood-brain barrier) contract boundary as described in
.claude/plans/callcenter-membrane-v1.md.
DM-0 — lance-graph-contract/src/external_membrane.rs:
- `ExternalMembrane` trait with associated types Commit / Intent / Subscription
- `CommitFilter` scalar-only predicate (u64 / u8 / bool, no VSA types)
- project() / ingest() / subscribe() boundary methods
- BBB invariant documented: Arrow type system enforces at compile time;
semiring + VSA types cannot appear in RecordBatch columns
DM-1 — crates/lance-graph-callcenter/ (new workspace member):
- Cargo.toml with six feature gates: persist / query / realtime / serve / auth / full
- default = [] (zero external deps in default build)
- src/lib.rs with stub module tree and UNKNOWN-1 through UNKNOWN-5 markers
Board hygiene (same commit per mandatory rule):
- INTEGRATION_PLANS.md: prepended callcenter-membrane-v1 entry
- STATUS_BOARD.md: appended DM-0 through DM-9 section
Both crates compile clean under cargo check.
https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
cognitive-shader-driver and lance-graph-planner both pin axum = "0.8". The callcenter crate had "0.7" which forced Cargo to pull a second axum version into Cargo.lock, causing the Cargo.lock diff noise in the PR. Bumped to "0.8" to keep a single axum in the dependency tree. https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
lance-graph-benches pinned lance = "1.0.0" and arrow-* = "56.2", pulling a second arrow version into Cargo.lock alongside the workspace's canonical arrow 57. Bumped both to match the rest of the workspace: lance "1.0.0" → "2" arrow-array "56.2" → "57" arrow-schema "56.2" → "57" Cargo.lock now has a single arrow entry (57.3.0). https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
Workflow fix (build.yml + rust-test.yml):
- actions/checkout@v4 requires path within GITHUB_WORKSPACE;
path: ../ndarray escapes the workspace root and fails.
- Solution: check out lance-graph into lance-graph/, ndarray into
ndarray/ — both under GITHUB_WORKSPACE. From
lance-graph/crates/lance-graph/, ../../../ndarray resolves to
$GITHUB_WORKSPACE/ndarray/ (the Cargo.toml path dep is unchanged).
- Added defaults.run.working-directory: lance-graph so all existing
cargo invocations continue to work without path changes.
- Updated Swatinem/rust-cache workspaces to use full paths from
GITHUB_WORKSPACE root (those are not affected by working-directory).
BlasGraph stub guard (crates/lance-graph/src/query.rs):
- ExecutionStrategy::BlasGraph was building TypedGraph::new(0) and
returning empty results silently — callers had no way to know the
strategy was unwired from input data.
- Now returns an explicit Err pointing to DataFusion as the working
alternative; unreachable_code allows the stub body to stay as a
placeholder for the real wiring.
https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
…path) Upstream-inherited PyO3 crate pulled arrow-pyarrow into the workspace dependency graph unconditionally. Moving to `exclude` is Cargo's native feature-flag equivalent for workspace members — cargo check/build/test --workspace no longer touches it; Python bindings still buildable via cargo build --manifest-path crates/lance-graph-python/Cargo.toml python-test.yml / python-publish.yml remain as the explicit opt-in CI paths. Also strips the `Build lance-graph-python` step and its cache entry from build.yml / rust-test.yml to match the workspace change. https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
python-test.yml triggered on every PR touching crates/lance-graph/**, meaning every Rust-core change forced a maturin build + pytest + ruff/pyright run. The python crate is now in the workspace exclude list — automatic Python CI on Rust-only changes is pure noise. Opt-in path preserved: cargo build --manifest-path crates/lance-graph-python/Cargo.toml cd python && maturin develop If python bindings get first-class support again, restore from git history. Until then: no python, no CI tax. https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
…finement Three additions, all in the zero-dep contract crate: a2a_blackboard: add ExternalSeed (8) + ExternalContext (9) to ExpertCapability. External inbound events land as BlackboardEntry with these capabilities; A2A experts process them across rounds before CollapseGate projects outbound. The blackboard is the explicit firewall — events never go directly into VSA. external_membrane: add ExternalRole (User/Consumer/N8n/OpenClaw/CrewaiUser/ CrewaiAgent/Rag/Agent) + ExternalEventKind (Seed/Context/Commit). Role is the bind key for XOR-braiding at the gate: same RoleKey::bind + rho^d mechanism as the grammar Markov ±5 trajectory — no new research, no new data structure. callcenter-membrane-v1.md: append § 10 — Markov XOR Gate + Blackboard Mediation Refinement. Records: - blackboard-as-firewall model (explicit, not conflated) - Markov ±5 reuse from grammar (round counter = trajectory position) - ExternalRole taxonomy with direction table - ExternalEventKind behaviour table - Speed-gap structural acceptance (substrate doesn't wait on consumer) https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
Removing lance-graph-python from workspace members dropped pyo3, arrow-pyarrow, and related Python-bridge crates from the lock file. https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
ExpertId gains a doc convention: for agent cards (crewai-rust, .claude/agents/), ExpertId = stable_hash_u16(card_yaml). This collapses three identity spaces — internal A2A experts, external roles, YAML agent cards — into one bus: ExternalRole (family, 8 variants) — carried at the gate ExpertId (specific card, u16) — carried on the entry Combined braid key = (role << 16) | expert_id — 32 bits The shader can unbind at either coordinate: all Rag-family cards collectively, or a specific card across families, or the full 32-bit precise identity. Meta-awareness consequence: QualiaClassification / StyleModulation experts can now fire on family-level OR card-level texture as real observables. Plan § 10.6 — Agent cards as A2A experts — appended with the convention, braid-key math, and registration flow (card YAML → ExpertEntry at load time). https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
…h + iron rule)
contract::persona — new zero-dep module:
PersonaCard { role, entry } — identity bundle (ExternalRole × ExpertEntry)
RoutingHint { target_role, target_card } — optional hint on ExternalSeed
entries. All-None = implicit (AriGraph resonance). Either or both Some =
explicit routing down to exact card.
braid_key() — combined 32-bit key: (role as u16) << 16 | expert_id.
AriGraph subgraph integration is consumer-side (lance-graph core,
graph::arigraph/); contract stays zero-dep.
Plan § 10.7 — Consumers address roles: explicit OR implicit
Four routing modes from the RoutingHint combinations. crewai-rust /
n8n-rs / openclaw all address the same blackboard through the same seed
shape; the two modes are hint-present vs hint-absent, not separate APIs.
Plan § 10.8 — AriGraph IS the persona's memory
PersonaCard = identity; AriGraph subgraph = memory. Resolved at
lance-graph boundary via AriGraph::subgraph_for(ExpertId). Each persona
runs its own Commit/Epiphany/FailureTicket loop on its subgraph; the
blackboard composes across them. Personas that handle seeds LEARN —
next similar seed resonates higher on that card.
Plan § 10.9 — Membrane · Role · Place · Translation (iron rule)
The prior stack's contract, now explicit:
1. Pass the membrane (no direct BindSpace writes)
2. Get a role (ExternalRole × ExpertId)
3. Get a place (round + VSA slot)
4. Translate into internal reasoning (not stored as bytes — transcribed)
No untagged external state anywhere. If you can't name role/place/
translation for a piece of data, it doesn't belong in the substrate.
https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
…lRole
contract::faculty — new zero-dep module:
FacultyRole enum (4 starter variants: ReadingComprehension, Voice,
Reasoning, Empathy). #[repr(u8)], extensible.
ToolAbility = u16 alias. Opaque id type; registry is consumer-side
so faculty descriptors can be declared without implementation deps.
FacultyDescriptor { role, inbound_style, outbound_style, tools } —
asymmetric transducer shape. Inbound ThinkingStyle = how the faculty
interprets received bundles; outbound ThinkingStyle = how it emits.
tools: &'static [ToolAbility] — concrete operations it can invoke.
is_asymmetric() — runtime check; symmetric is legal (pass-through).
Three-coordinate provenance: (ExternalRole family, ExpertId card,
FacultyRole function). All three are RoleKey-bindable; unbindable at any
coordinate. The shader can observe its own faculties as first-class
features — QualiaClassification can fire on "Reasoning overwhelmed,
Empathy idle" and the router rebalances.
Plan § 10.10 deferred pending further refinement of the faculty model
(variants, asymmetry constraint, tool registry split).
https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
… slots
Four corrections to address the BBB-preservation concern raised mid-session:
contract::persona:
- Remove PersonaCard::braid_key() -> u32 — it packed (role << 16) | expert_id
into a composite 32-bit key, implying a parallel VSA slot address space
incompatible with the existing 4096 COCA / CAM-PQ / NARS-head vocabulary.
- Add module doc section "Identity lives in metadata; VSA binding is
stack-side (BBB invariant)". Role and card are separate Arrow-scalar
metadata columns, queryable via SQL / Cypher / GQL / NARS / qualia.
Stack-side code deterministically maps those metadata values to RoleKey
slot addresses for internal VSA braiding — the slot mapping never crosses
the BBB. External surface sees columns; internal substrate sees slots;
same identity, two representations.
plan § 10.6:
- Add erratum paragraph retracting the "(role << 16) | expert_id" braid
key proposal. Replace with correct addressability note: role and card
are addressable independently via the five metadata-bus query dialects.
plan § 4 cognitive_event schema:
- Add five new scalar identity/scent columns:
external_role: UInt8 (ExternalRole family tag)
faculty_role: UInt8 (FacultyRole function tag)
expert_id: UInt16 (stable card hash)
dialect: UInt8 (query dialect: Cypher/GQL/NARS/Redis/Spark/SQL)
scent: UInt8 (1-byte compressed address scent, § 10.13)
- These are the metadata-bus coordinates (see § 10.11). Still no VSA,
no semiring, no RoleKey — just numbers crossing the gate.
Contract crate compiles clean (6 pre-existing warnings, no new ones).
https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
…int epiphany) PREPEND dated epiphany 2026-04-22 covering the deployment doctrine that joins every dimension accumulated this session: 1. A2A agents = training surface (no labels, no cold start) 2. Supabase shape = adoption surface 3. Metadata = uniform address bus (queries ARE dispatch) 4. REST + DataFusion (ladybug-rs prior art) 5. DN-addressed URL hierarchy (tree:heel:hip:branch:twig:leaf) 6. Address = scent (1B via codec chain) = context-pull key 7. Body content = external seed → blackboard mediation 8. Polyglot front end: Cypher/GQL/Gremlin/SPARQL/NARS/Redis/Spark/SQL 9. Agent cards + faculties + external roles = one identity space BBB invariant stated explicitly: every dimension lives in TWO representations — metadata columns externally (Arrow scalars crossing the gate safely, queryable by five dialects), VSA role-bindings internally (RoleKey slots for Markov ±5 braiding, never cross). Same identity, two faces. Supabase refactor only ever sees Arrow; blackboard only ever sees role-tagged entries. Litmus test codified: for every byte crossing the gate, can I name role/place/translation? Does external see only Arrow scalars? Does internal see only role-tagged blackboard entries? If no → reject. Cross-refs to contract modules and plan sections. https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
… DN REST polyglot, scent cascade, 4-phase sequencing - § 10.10: VSA 10000-D lossless role bind/unbind (slot partition for ExternalRole/FacultyRole/ExpertId/dialect/scent; J-L lossless recovery; why d=10k; BBB role clarified — internal face only, never crosses gate) - § 10.11: Metadata address bus (five dialects: SQL/Cypher-GQL/NARS/Qualia/ OrchestrationBridge; queries ARE dispatch; bus BBB role) - § 10.12: DN-addressed REST + polyglot front end (Cypher/GQL/Gremlin/SPARQL already shipped; NARS + Spark = full parsers; Redis = thin DataFusion shape-adapter, NOT a new parser; ladybug-rs prior art referenced; dialect-as-signal metadata column) - § 10.13: Address = scent = context-pull (compression chain 16Kbit→1B; four uses of one compressed object; context-pull flow; training loop) - § 11: Four-phase sequencing (Phase A: BBB spine; Phase B: Polyglot front end; Phase C: Scent cascade; Phase D: Realtime + training) https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
Implements the Blood-Brain Barrier gate between external consumers and the cognitive substrate. Three new modules in lance-graph-callcenter: - dn_path.rs: DnPath (6×u64 FNV-1a segment hashes) + scent_stub() XOR-fold placeholder; Phase C wires full ZeckBF17→Base17→CAM-PQ cascade. 5 tests. - external_intent.rs: ExternalIntent (inbound gate crossing shape) + CognitiveEventRow (outbound scalar projection). All fields are Arrow-scalar primitives (u8/u16/u64/bool). Full schema table in doc (§ 4: external_role/faculty_role/expert_id/dialect/scent + MetaWord fields + cycle_fp_hi/lo + gate_commit/gate_f). - lance_membrane.rs: LanceMembrane implements ExternalMembrane. project() strips ShaderBus to CognitiveEventRow scalars (no VSA types cross). ingest() executes the 4-step iron rule: pass membrane → get role → get place (scent) → translate to UnifiedStep. subscribe() returns Phase-A disconnected mpsc::Receiver<u64>; Phase D wires tokio watch + CommitFilter. 5 tests including bbb_scalar_only_compile_check. Also fixes a2a_blackboard.rs ExpertId doc: removes the retracted packed braid-key comment, replaces with the correct metadata-columns-as-identity statement (see plan § 10.6 erratum). UNKNOWN-1 resolved in module doc: ShaderSink (cognitive-shader-driver) is internal BindSpace ingestion; no overlap with ExternalMembrane. 10/10 tests pass. Zero new warnings in callcenter crate. https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
VSA d=10000 saturating bundle IS a commutative monoid (CK by construction, E-SUBSTRATE-1) — the same algebraic foundation git approximates. Maps every git primitive to the existing callcenter machinery: commit→CollapseGate, branch→speculative blackboard round, merge→MergeMode::Bundle, rebase→Markov replay, checkout→Lance time-travel, blame→VSA unbind projected to metadata columns. Chat turn = commit. Blackboard round = staging area. CollapseGate = git commit. Lance version = object store append. ±5/±500 Markov window = HEAD~5 / HEAD~500. Jirak bounds tick density; Cartan governs which columns project outward. BBB invariant holds at every git verb — no VSA type crosses the gate, git-shaped ops are scalar-only on the external face. Adoption surface: "git for thoughts" — zero onboarding friction for any developer who has used git. DN URL path IS a refspec. PersonaCard is the author. RoutingHint is the target ref. https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
§ 14 Cold Storage two dataset classes (external/scalar + internal/VSA), Lance+S3 as git cold storage, E-DEPLOY-1 training corpus path. § 15 VSA dispatch — role × thinking = persona, RoleDB DataFusion UDFs (unbind/bundle/hamming_dist/braid_at/top_k), n8n-rs Supabase Realtime wiring. § 16 Persona as function — 32 named cognitive atoms × 16 weightings (16^32 addressable space), 56-bit PersonaSignature, YAML runbooks as context-loop macro scaffolding (not persona identity). 46,000× storage reduction. § 17 Four-way multiply (persona × style × stage × learned-dynamics) + ONNX persona classifier at L4/L5 replacing Chronos (full 288-class product prediction vs 1D style scalar). MM-CoT stage split as rationale_phase bool. unified-integration-v1.md: DU-0 through DU-5 deliverables with effort, sequencing, invariants, and open questions. https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
…settings allow *.md
DU-4 (MM-CoT stage split): add `rationale_phase: bool` to `CognitiveEventRow`
— Phase B placeholder (false); wired when FacultyDescriptor::is_asymmetric() true.
— Update schema table comment in external_intent.rs.
— Populate in LanceMembrane::project() as false (Phase A).
DU-5 (board hygiene):
— INTEGRATION_PLANS.md: prepend unified-integration-v1 entry (DU-0..DU-5).
— STATUS_BOARD.md: append DU-0 through DU-5 rows with Queued status.
Cargo.toml fixes:
— Root Cargo.toml: remove duplicate `exclude` key (leftover from Python CI cleanup).
— crates/lance-graph/Cargo.toml: remove duplicate lance-graph-catalog/lance/
lance-linalg/lance-namespace keys; keep lance-graph-catalog@0.5.4 + lance@2.
Settings: add Edit(**/*.md) + Write(**/*.md) to allow list; board .md files
remain protected by existing deny rules (deny > allow).
https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
…age corrections - callcenter-membrane-v1.md §14: clarify internal dataset uses Fingerprint<256> (L4/L5 speed tier, 2KB); L3 cold tier can promote to Vsa10k BF16 or RaBitQ - callcenter-membrane-v1.md §17: fix Tensor[N,256×64] → Tensor[N,16384] with note that fingerprint format is the correct L4/L5 speed-lane input for ONNX classifier - callcenter-membrane-v1.md §18 (new): VSA precision-tier table (Fingerprint/Vsa10k-BF16/ Vsa10k-f32), L4/L5 speed-lane invariant, VSA-as-wire-format definition, father-grandfather generational compression hierarchy (son/father/grandfather bundle at 1/100/1000 cycles via MergeMode::Bundle, CK-safe) - unified-integration-v1.md: fix title (Chronos→ONNX), DU-1 input clarification, DU-3 precision-tier note for deep unbind at L3, DU-4/DU-5 status → Shipped - STATUS_BOARD.md: DU-4 and DU-5 marked Shipped (commit a05979e) https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
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| }; | ||
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| UnifiedStep { | ||
| step_id: format!("{:016x}", scent as u64), |
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Generate unique step IDs instead of 8-bit scent hashes
ingest() currently derives step_id only from scent_stub() (a single u8), so there are at most 256 distinct IDs and collisions are inevitable under normal traffic; two unrelated intents can receive the same step_id, which breaks correlation of status/reasoning across routed steps and can cause one step to be mistaken for another. Use a collision-resistant identifier (e.g., UUID/ULID or include high-entropy fields like full DN hash + timestamp/counter) rather than the 1-byte scent.
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| /// Returns `None` if the path does not match the 12-segment pattern. | ||
| pub fn parse(path: &str) -> Option<Self> { | ||
| let segs: Vec<&str> = path.trim_start_matches('/').split('/').collect(); | ||
| if segs.len() < 12 { return None; } |
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Enforce exact DN segment count during path parsing
The parser documentation says the DN path must match a 12-segment pattern, but the current guard only rejects paths shorter than 12 segments; longer paths are silently accepted and truncated because only indices 0..11 are read. This means distinct URLs like .../leaf/abc and .../leaf/abc/extra normalize to the same DnPath, causing ambiguous routing/scent derivation and weakening boundary validation.
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Summary
rationale_phase: booladded toCognitiveEventRow(Phase A stub= falseinproject()); wired fromFacultyDescriptor::is_asymmetric()in Phase Bcallcenter-membrane-v1.mdArchitectural decisions recorded (§18)
Three precision tiers:
[u64;256][bf16;10000][f32;10000]L4/L5 is the speed lane — fingerprint stays there. Inflating to Vsa10k would blow the L3 memory budget at substrate rate. The boundary is a hardware-budget invariant.
L3 / cold storage gets either Vsa10k BF16 (20 KB, full unbind algebra) or RaBitQ-quantized Lance columns (zero-copy ANN, lower RAM).
VSA is the wire format — bundle, SPO ±5/±500.
CognitiveEventRowis the BBB-safe scalar projection of that wire state, not the wire itself.Father-Grandfather generational compression:
Fingerprint<256>— 2 KBMergeMode::Bundle→ single Vsa10k BF16 — 20 KB (10:1)Files changed
.claude/plans/callcenter-membrane-v1.md— §14 internal dataset clarification, §17Tensor[N,256×64]→Tensor[N,16384]+ L4/L5 note, §18 new section.claude/plans/unified-integration-v1.md— title fix (Chronos→ONNX), DU-1 input note, DU-3 L3 precision note, DU-4/DU-5 status → Shipped.claude/board/STATUS_BOARD.md— DU-4 and DU-5 marked Shipped.claude/settings.json— permissions spine (CLAUDE.md + destructive ops deny only)https://claude.ai/code/session_01CgQyZ7rMWkCEohrPzEiwkD
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