Learning Vtk Result Context

VTK Result Context

Level

Intermediate, with beginner and expert options.

Audience

Post-processing users, visualization engineers, data engineers, and developers handling optional scientific dependencies.

Learning objectives

By the end, you can:

1. inspect a VTK-family result file;
2. describe result-field context safely;
3. explain why field presence is not correctness evidence; and
4. discuss optional dependency fallback behavior.

Files used

• examples/vtk_minimal/sample.vtk
• Architecture: Adapters

Walkthrough

caereflex inspect-vtk examples/vtk_minimal/sample.vtk --out vtk_case.json
caereflex export agent-context vtk_case.json --out vtk_agent_context.json

Review the context:

python -m json.tool vtk_agent_context.json | head -100

What to observe

• Result files may expose fields, metadata, or safe fingerprints.
• Rich VTK/PyVista behavior can depend on optional packages.
• Result context does not prove convergence, mesh adequacy, or physical correctness.

Beginner exercise

Identify the inspected file and any result-context information present in the output.

Practitioner exercise

Draft an agent response that describes the detected VTK evidence and explicitly names what is not proven.

Expert extension

Study the VTK adapter and answer:

1. What happens when optional readers are unavailable?
2. Which behavior should remain available in the base install?
3. Which tests would protect fallback behavior?

Assessment checklist

• The learner inspected the VTK example.
• The learner avoids treating fields as validation evidence.
• The learner can explain optional dependency implications.