Wire the two pure M1 modules into the orchestrator's execute path:
- Before running a step, build a `RunContext` from the run input + every prior
succeeded step's output (`load_run_step_outputs`, read fresh at execution
time so a step sees all upstream results).
- `workflow_expr::eval` the step's `when` condition (if any): false → the step
is `skipped` — never executed — and counts as satisfied-but-empty for its
dependents (a new `StepOutcome::Skipped`, written in `complete_step_and_advance`
then advanced; `compute_advance` already treats skipped as satisfying deps).
- `workflow_template::resolve` the step's `input` against the context: an
exact single `{{ ref }}` preserves the referenced JSON type, an embedded ref
interpolates as text; a missing reference is a hard step failure (a definition
bug surfaced, not hidden), never a silent null.
`when` and templates were already parse-validated at apply time (M1); this is
the runtime half.
Tests (DB-gated, end-to-end via a scripted fake executor):
- `when_false_skips_step` — b skipped, never executed, omitted from run output
- `step_output_flows_into_downstream_input` — a's `{n:7}` feeds b's input,
type-preserved for a bare ref and interpolated in a larger string
- `missing_input_ref_fails_the_step` — an unresolved ref fails b → run fails
Verified: cargo fmt, clippy -D warnings clean, 448 manager-core lib tests,
11 workflow_orchestrator DB tests (3 new).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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