Collect: list and dict inputs accept several connections of their item
type. Members are labelled with their position or key, and can be
reordered or renamed from the connection context menu.
Map: Map Over / Edit Map / Remove Map on tasks. A mapped task is drawn
as a stack with a "map over" subtitle, its items are edited in the
property view (JSON, or selected cases, well paths or views), and
per-item progress is shown during a run.
Workflows using map or collect are no longer read-only. The run status
no longer shows "Completed" after a successful run.
Build, copy and edit taskmaestro workflows in ResInsight and save them as
standard workflow.yaml + input.yaml.
- Python helper: catalog, load, save and export-registered subcommands,
and run --registered for installed workflows
- C++ definition model with pure edit operations, port type checks,
config field derivation, static validation and undo/redo
- Installed folder listing registered workflows (read-only, runnable,
can be duplicated)
- Graph editor dock with task palette, drag-to-connect, context menus,
automatic layout and debounced live validation
- New/Duplicate/Save/Save As/Rescan commands; unsaved edits run from a
temporary folder and prompt before being discarded
- Update the design document and the user README
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.
Kristian Bendiksen