Recognizes Vec3-shaped object schemas ({x, y, z} number properties)
structurally in RimWorkflowDescribeTools and dispatches them to a new
RimWorkflowVec3Binding in RimWorkflowTaskInput::createBinding(). Stores
the value as a cvf::Vec3d field, parses JSON object defaults, and emits
a YAML flow-mapping ({x: .., y: .., z: ..}) matching the taskmaestro
Vec3 pydantic model shape.
Replace the rips.taskmaestro_helper introspect subcommand with
`python -m taskmaestro workflow describe --json`. RimWorkflowDescribeTools
converts the describe output (JSON schemas, depends_on, config_values)
into the workflow graph used by the Workflow UI. This also adds support
for collect dependencies and maps rips.Reservoir to EclipseCase pickers.
Register a 'workflows' experimental feature and gate the taskmaestro Workflows
UI behind it, following the registry pattern from #14081. The Workflows tree
collection is only added in RimProject::defineUiTreeOrdering when the feature is
enabled, and RimWorkflowCollection::rescanWorkflows() skips the eager discovery
scan (and its per-workflow Python introspection) when disabled.
Discover taskmaestro workflows under ~/.taskmaestro/workflows/ and surface
them as a "Workflows" collection in the project tree alongside Scripts.
Each workflow's task input schema is auto-generated by introspecting the
Pydantic models via a Python helper (rips.taskmaestro_helper) and rendered
as PDM field bindings - scalars for str/int/float/bool, and PdmPtrField
pickers for fields typed as rips.Case / rips.WellPath / rips.View.
The Run button on a RimWorkflow writes input.yaml from current bindings
(rips object references serialized as __resinsight_ref__ maps), spawns
the helper's run subcommand, and streams output to a modeless log dialog.
The helper resolves __resinsight_ref__ markers back to live rips objects
via the running ResInsight's gRPC server before driving taskmaestro.
Magne Sjaastad
Kristian Bendiksen