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dag-dependency-resolver

Validates typed DAG dependency declarations, returns Kahn linear extensions or generations and residual cycle witnesses, and identifies changed consumers for revalidation. NOT for constructing graphs, scheduling resource capacity, granting effects, or executing nodes.

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DAG Dependency Resolver

A dependency resolver checks a declared graph. It does not repair its semantics, schedule capacity, delete safety/authority edges, or prove that a node ran. See the worked resolution procedure for the edge contract, Kahn hand trace, residual witness, and versioned invalidation method. Direction is producer → consumer.

Method 1 — validate typed contracts before ordering

For each node, record an ID and declared output contract. For each edge record its type and evidence: artifact/data prerequisite (producer artifact digest, schema and completion predicate), authority/approval gate, decision, resource exclusion, or soft preference/order. Reject duplicate IDs, missing endpoints, unknown edge types, and an artifact edge with no exact producer/version contract. Only prerequisite-like edges determine readiness. Authority and resource facts remain separate gates; a test receipt does not satisfy deployment approval.

Method 2 — run Kahn and preserve residuals

Initialize indegree from prerequisite-like edges. Emit any zero-indegree node, decrement its consumers, and retain both the emitted linear extension and each ready set. A ready set is an antichain of this declared relation; it is not a resource-safe execution batch. If the process leaves nodes, return the residual subgraph plus an SCC and a concrete directed witness. Ask the named graph owner to interpret or repair it; never silently merge nodes, remove self-edges, add a buffer, or insert serialization.

flowchart TD
  A[Typed nodes and edge contracts] --> B{IDs endpoints and contracts valid?}
  B -->|no| X[Reject with field witness]
  B -->|yes| K[Kahn indegree process]
  K -->|all emitted| R[Linear extension and ready sets]
  K -->|residual| S[SCC plus directed cycle witness]
  S --> O[Owner repairs declared semantics]
  R --> Q[Scheduler applies resources and authority]

Method 3 — distinguish generations from a streaming queue

For fetch→parse→report and lookup→report, synchronous generations are {fetch, lookup}, {parse}, {report}. A streaming Kahn implementation may emit fetch, then enqueue parse while lookup remains ready. That queue state is not a generation barrier. Choose one representation and label it.

For changed producer P, traverse its consumer closure in the producer→consumer graph (or use a reverse-dependency index). Revalidate only consumers whose declared input/version changed. This is a static invalidation set, not permission to restart or cancel work.

flowchart LR
  F[fetch artifact v1] --> P[parse exact v1]
  L[lookup source] --> R[report]
  P --> R
  A[deploy approval] -. gate .-> D[deploy]
  R --> D

Worked repair boundary

Given transform-A→summarize→transform-A, return the witness and hold the plan. The former example's GPU contention between analyze-A and analyze-B is a scheduler input, not a reason to add analyze-A→analyze-B. A proposed report→parse edge likewise requires semantic review; dropping it only to make Kahn finish can change the contract.

Sources and limits

Bazel Skyframe documents incremental reverse-dependency invalidation. Bazel query docs describe graph order and warn cycle handling is unspecified. These build-graph sources do not prove agent scheduling, authority, or external-effect safety. See reference note.

Related skills

  • dag-graph-builder creates graph structures; this skill checks declared ones.
  • dag-task-scheduler applies resource capacity and schedule policy after dependency validation.
  • dag-dynamic-replanner owns runtime graph changes; this skill reports static invalidation scope.

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