VOLT
Modules

Analysis & Jobs

Run plugin workflows on trajectories and follow the execution model behind them.

TL;DR -- An analysis in VOLT is a persisted run of a plugin workflow against a trajectory. The jobs system is the runtime layer underneath it, tracking frame-level work across your connected cluster.

Overview

The Analysis page is where plugin execution becomes something you can inspect and revisit. It is not just a button that launches work once. Every run is stored as an analysis record with linked trajectory context, status, progress, and result exposures.

That distinction matters because analysis in VOLT is designed to be part of a longer workflow. You often come back later to compare runs, retry failed frames, inspect listings, or load a generated 3D artifact back into the viewer.

Analysis & Jobs Overview

Starting a run

The usual path starts inside a trajectory. You open the analysis tab, choose a plugin, adjust its parameters, and launch the run.

From there, VOLT hands execution off to the cluster runtime. The workflow is planned, frame work is queued, and progress begins streaming back into the UI.

What the listing actually shows

The analysis listing is a history of real executions, not a library of analysis templates. Each row tells you which plugin ran, which trajectory it ran against, how far it got, and whether it finished cleanly.

StatusWhat It Means
QueuedThe analysis exists, but workers have not started processing its frame work yet
RunningOne or more frames are actively being processed
CompletedThe full run finished successfully
FailedSome frame work failed and can usually be retried selectively

Progress is frame-based

Most analyses in VOLT are easiest to understand as frame-aware workloads. A run may represent many individual frame jobs, and the progress bar reflects that breakdown. This is why a partially successful run can still be useful, and why retrying only the failed part is often enough.

Real-time updates arrive over the same event-driven layer the rest of the platform uses, so the page behaves more like a live operations view than a static report.

Retrying failed frames

When a run fails, you usually do not need to throw everything away and start over. VOLT can requeue only the failed frames for a given analysis.

That is especially helpful with heavier plugins, where most of the work may already be complete and only a small subset needs another pass.

Results, exposures, and exports

Completed analyses write their results into cluster storage and then project them back into the product in a few different ways.

  • Listings give you structured tabular views of the output.
  • Sub-listings break a larger result into more focused slices.
  • Charts provide ready-made visual summaries when the plugin exports them.
  • 3D artifacts let the result come back into the trajectory viewer as an overlay.

Under the hood, most of this starts as MessagePack data and is then transformed into whatever representation the UI needs.

The jobs layer underneath

The Jobs system is the operational side of analysis. It tracks work across the team and gives you a separate place to monitor queue activity, running jobs, and retries.

The hierarchy is roughly:

  • a top-level analysis session,
  • grouped work tied to a trajectory,
  • and frame-level jobs doing the actual processing.

That is why the Jobs panel feels broader than a single analysis page. It is team-wide, live, and useful even when you are watching several runs at once.

Team-wide job actions

The jobs interface also exposes maintenance actions for the queue history, including clearing history, retrying failed work, and removing stale running jobs. Those actions are operational tools, so they matter most when you are supporting an active team workspace rather than running a one-off analysis by yourself.

Analysis execution depends on the plugin runtime, the cluster daemon, and the workflow engine beneath it. If you want the full picture of how node-based plugins become jobs and exposures, continue with Plugin System and Architecture.

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