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Add VTKHDF output support for all structured mesh types (#3620) - #3877

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@Jarvis2001

@Jarvis2001 Jarvis2001 commented Mar 13, 2026 •

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Description

PR #3252 added .vtkhdf output for UnstructuredMesh. This PR extends that support to all four structured mesh types — RegularMesh, RectilinearMesh, CylindricalMesh, and SphericalMesh — following the same pattern. The legacy ASCII .vtk path is unchanged.


Changes

StructuredMesh.write_data_to_vtk

  • Fixed unconditional .T.ravel() in the ASCII path for 3D datasets. The transpose is now conditional: RegularMesh and RectilinearMesh store data in C (ijk) order that matches the VTK writer directly — no transpose is needed or correct. CylindricalMesh and SphericalMesh still require the transpose to produce Fortran (kji) order expected by the curvilinear VTK writer. The same condition applies to volumes during normalization.

RegularMesh._write_vtk_hdf5 (new method)

  • Writes StructuredGrid VTKHDF format with explicit Points, Dimensions, and CellData, consistent with the existing UnstructuredMesh VTKHDF writer.
  • Type attribute written as a fixed-length ASCII HDF5 string via h5py.string_dtype, matching the UnstructuredMesh pattern. Without this, h5py stores a variable-length string that reads back as str rather than bytes, breaking == b"StructuredGrid" comparisons in VTK readers.
  • Dimensions carries only ndim entries (not padded to 3), so 1D and 2D meshes write the correct number of dimensions.
  • Guards against datasets=None, calls _reshape_vtk_dataset before validation, and validates both shape and element count.

RectilinearMesh._write_vtk_hdf5, CylindricalMesh._write_vtk_hdf5, SphericalMesh._write_vtk_hdf5 (new methods)

  • Same structure as RegularMesh._write_vtk_hdf5. Points are computed from the respective coordinate grids: Cartesian for RectilinearMesh, converted from (r, φ, z) for CylindricalMesh, and from (r, θ, φ) for SphericalMesh, each respecting the mesh origin.
  • Note: vtkRectilinearGrid is not part of the VTKHDF spec, so RectilinearMesh uses StructuredGrid as the closest equivalent.

New tests (test_mesh.py)

  • test_write_vtkhdf_regular_mesh — checks StructuredGrid type, Points, Dimensions, and CellData structure.
  • test_write_vtkhdf_rectilinear_mesh — checks file is created and CellData is populated.
  • test_write_vtkhdf_cylindrical_mesh — checks vertex Dimensions match (nr+1, nφ+1, nz+1).
  • test_write_vtkhdf_spherical_mesh — checks Points and CellData are present.
  • test_write_vtkhdf_volume_normalization — verifies both normalised and unnormalised output against known cell volumes.
  • test_write_vtkhdf_multiple_datasets — verifies multiple named datasets are written with correct data ordering (data.T.ravel()).
  • test_write_vtkhdf_invalid_data_shape — verifies ValueError is raised for shape mismatches.
  • test_write_vtkhdf_1d_mesh — verifies a 1D RegularMesh writes successfully without hitting the 3D-only volumes guard.
  • test_write_vtkhdf_2d_mesh — verifies a 2D RegularMesh writes the correct number of Dimensions entries.
  • test_write_ascii_vtk_unchanged — round-trip test confirming the legacy .vtk path is unaffected by these changes.

Fixes #3620


Checklist

  • I have performed a self-review of my own code
  • I have run clang-format (version 18) on any C++ source files (if applicable)
  • I have followed the style guidelines for Python source files (if applicable)
  • I have made corresponding changes to the documentation (if applicable)
  • I have added tests that prove my fix is effective or that my feature works (if applicable)

Summary by CodeRabbit

  • New Features
    • Export meshes in VTKHDF format without installing the optional VTK package. Regular meshes use a compact image representation, while other supported meshes retain their geometry and cell data.
    • VTKHDF exports support volume normalization and multiple datasets. Mesh data is checked for compatible dimensions, with clear errors for mismatched shapes.
    • Unstructured mesh exports support linear tetrahedra and hexahedra; unsupported elements are skipped with a warning.
  • Bug Fixes
    • Improved consistency between mesh cell ordering and associated data in VTKHDF exports.
    • Preserved readable legacy VTK output for other file extensions.

@Jarvis2001
Jarvis2001 marked this pull request as draft March 13, 2026 17:39
@Jarvis2001
Jarvis2001 force-pushed the vtkhdf branch 2 times, most recently from 391fb53 to ede21b4 Compare March 13, 2026 19:42
@Jarvis2001
Jarvis2001 marked this pull request as ready for review March 13, 2026 21:31
@shimwell

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Thanks for the PR i am keen to see vtkhdf export as an option for these meshes, thanks for your efforts in adding this feature.

My main question is about the code for sort each element's materials by material ID, is that something we need for the vtkhdf?

It is a bit hard to review this PR as there are a lot of changes here that are unrelated to the objective of the PR, mainly formatting changes. While these are good it does swamp the actual code additions of the PR a bit.

@Jarvis2001
Jarvis2001 marked this pull request as draft March 20, 2026 23:08
@Jarvis2001

Jarvis2001 commented Mar 21, 2026 •

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Yeah, the material volume sorting is unrelated to the VTKHDF changes.
The test test_mesh_material_volumes_boundary_conditions was failing locally with:

        for evaluated, expected in zip(volumes.by_element(0), expected_volumes):
>           assert evaluated[0] == expected[0]
E           assert np.int32(24) == 23

../tests/unit_tests/test_mesh.py:716: AssertionError

It was a material ID ordering mismatch; the by_element() results came back in a different order than the test expected. The C library's ray traversal order isn't guaranteed, so whichever material a ray happens to hit first ends up first in the table. The sorting was added as a quick fix to make the test pass, but it was bundled into this PR. I have dropped it from this PR. Also, the reformatting was due to autopep8. I have reverted it. Thank you for pointing these things out.

@Jarvis2001
Jarvis2001 marked this pull request as ready for review March 21, 2026 07:00
@shimwell

shimwell commented Apr 2, 2026

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I removed the duplicate tests and pushed to the branch, changed the type attribute, reverted some unrelated formatting changes (which I think are good, I am just trying to keep the PR minimal and on topic), So this addresses most of my earlier suggestions.

A potential bugs that I just spotted is that the order used for RectilinearMesh/Cylindrical/Spherical. The PR uses .reshape(-1, 3) (C-order) which needs checking as I think this is not right.

This needs checking up I think for those three meshes it would need changing from points = vertices.reshape(-1, 3) to points = np.swapaxes(vertices, 0, 2).reshape(-1, 3) to match the vtk writer.

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shimwell commented Apr 2, 2026

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It also looks like the RectilinearMesh vtkhdf writing only supports 3D meshes where the legacy vtk route supports both 1D/2D and 3D

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shimwell commented Apr 2, 2026 •

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The changes to volume_normalization=None also change the default behavior so I think this needs careful consideration.

I've done a decent amount of changes on this PR, let me know if you are happy with the direction of the changes.

@shimwell

shimwell commented Apr 14, 2026 •

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I have done a few more tidy up changes, overall this PR is IMO looking closer to complete.

This PR is currently about 1/3 the original size, a shared helper function taking vertex_dims and points could help reduce the duplication a bit more but not sure if that is required.

I think further improvements are needed for 1D and 2D meshes but it is perhaps best to wait to see if #3914 can be merged first which I think now blocks this PR

@shimwell

shimwell commented May 6, 2026 •

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#3914 was merged 🎉 which helped simplify the tests a bit more and allows 1D and 2D meshes to be saved.

I have brought this branch up to date with develop

…ray length

The VTKHDF UnstructuredGrid writer produced Offsets arrays with only
n_cells entries. vtkHDFReader requires n_cells + 1 entries per the
VTKHDF spec, so it loaded zero cells despite valid connectivity data.
@Jarvis2001
Jarvis2001 marked this pull request as draft May 27, 2026 10:20
@Jarvis2001
Jarvis2001 marked this pull request as ready for review May 27, 2026 11:15
@shimwell

shimwell commented Aug 3, 2026 •

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works for me with a small change

image

shimwell and others added 4 commits August 3, 2026 14:39
The None default was reintroduced in 6cc9f54 when resolving merge
conflicts, undoing the earlier revert in 3a92e49. Restore the plain
bool default so the public signature and behaviour match develop.
VTKHDF defines no StructuredGrid or RectilinearGrid dataset type, so the
files written for the four structured mesh types were rejected by every
VTK reader with "Unknown data set type: StructuredGrid" and loaded in
ParaView as an empty object.

A regular mesh is a uniform grid, so it is now written as ImageData,
described by an extent, origin and spacing. This needs no point
coordinates at all and is roughly four times smaller than before. The
extent is padded to six entries so 1D and 2D meshes are valid.

Rectilinear, cylindrical and spherical meshes are written as an
UnstructuredGrid of linear hexahedra, matching what UnstructuredMesh
already does. Points come from the existing vertices property, which
reproduces the coordinates the four separate implementations were
computing by hand, so those collapse into one shared method.

Element ordering is unchanged, with the first mesh index varying fastest.
Volume normalization now divides a flat dataset by volumes in the same
order as the data rather than relying on broadcasting.

The new tests read every file back with vtkHDFReader and check both the
element data and the element geometry against the mesh vertices. All
eight fail on the previous output and pass on this.
Used in one place, so a named constant does not earn its keep.
@shimwell

shimwell commented Aug 3, 2026 •

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This looks good to me now. I should flag though that I have pushed a fair amount to this PR myself, so it would be worth having a separate reviewer take a look at it rather than just me.

For anyone picking it up, this is what I changed on top of the original work:

  • VTKHDF has no StructuredGrid or RectilinearGrid dataset type, so the files were being rejected by VTK with Unknown data set type: StructuredGrid and loaded as an empty object in ParaView. Regular meshes are now written as ImageData, and rectilinear, cylindrical and spherical as an UnstructuredGrid of linear hexahedra, which is what UnstructuredMesh already does.
  • That let the four almost identical _write_vtk_hdf5 methods collapse into one on StructuredMesh plus an ImageData override on RegularMesh, since self.vertices already returns the point coordinates each one was computing by hand. mesh.py ends up slightly smaller than before.
  • volume_normalization is back to a plain True default. The None default had crept back in when merge conflicts were resolved in 6cc9f54.
  • Added tests that read every file back with vtkHDFReader and check the element geometry against mesh.vertices. All eight of those fail on the previous output and pass now, which is the check that was missing.
  • Merged develop.

I have checked all four mesh types load in ParaView and that the element data matches what the legacy ASCII writer produces.

If you want to make a vtkhdf file for each mesh type to look at yourself, this does it with plain numpy arrays so there is no need to run a simulation:

import numpy as np
import openmc

meshes = {}

mesh = openmc.RegularMesh()
mesh.lower_left = (-10., -10., -10.)
mesh.upper_right = (10., 10., 10.)
mesh.dimension = (6, 8, 10)
meshes['regular'] = mesh

mesh = openmc.RectilinearMesh()
mesh.x_grid = np.linspace(-10., 10., 7)
mesh.y_grid = np.linspace(-10., 10., 9)
mesh.z_grid = np.linspace(-10., 10., 11)
meshes['rectilinear'] = mesh

meshes['cylindrical'] = openmc.CylindricalMesh(
    r_grid=np.linspace(0., 10., 7),
    phi_grid=np.linspace(0., 2*np.pi, 17),
    z_grid=np.linspace(-10., 10., 11),
)

meshes['spherical'] = openmc.SphericalMesh(
    r_grid=np.linspace(0., 10., 7),
    theta_grid=np.linspace(0., np.pi, 10),
    phi_grid=np.linspace(0., 2*np.pi, 17),
)

for name, mesh in meshes.items():
    n_i, n_j, n_k = mesh.dimension
    ones = np.ones(mesh.dimension)
    datasets = {
        'i_index': np.arange(n_i)[:, None, None] * ones,
        'j_index': np.arange(n_j)[None, :, None] * ones,
        'k_index': np.arange(n_k)[None, None, :] * ones,
    }
    mesh.write_data_to_vtk(
        filename=f'{name}.vtkhdf',
        datasets=datasets,
        volume_normalization=False,
    )
    print(f'{name}.vtkhdf  dimension={tuple(mesh.dimension)}  {mesh.n_elements} elements')

which gives

regular.vtkhdf      dimension=(6, 8, 10)   480 elements   ->  vtkImageData
rectilinear.vtkhdf  dimension=(6, 8, 10)   480 elements   ->  vtkUnstructuredGrid
cylindrical.vtkhdf  dimension=(6, 16, 10)  960 elements   ->  vtkUnstructuredGrid
spherical.vtkhdf    dimension=(6, 9, 16)   864 elements   ->  vtkUnstructuredGrid

Each file carries three arrays. Colouring by i_index should give a gradient along the first mesh axis only and be flat in the other two, then j_index along the second axis and k_index along the third. For these four mesh types the axes are x, y, z for the first two, r, phi, z for the cylindrical one and r, theta, phi for the spherical one. The number of elements is deliberately different along each axis so a transposed write cannot accidentally look correct.

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coderabbitai Bot commented Oct 10, 2026 •

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Review in Change Stack →

📝 Walkthrough

Walkthrough

Mesh export adds .vtkhdf output for structured and unstructured meshes. RegularMesh writes ImageData; other structured meshes write hexahedral UnstructuredGrid output. Dataset shapes are validated, and tests check VTKHDF output and legacy ASCII compatibility.

Changes

Mesh VTKHDF export

Layer / File(s) Summary
Format dispatch and dataset validation
openmc/mesh.py
.vtkhdf output uses the HDF5 writer, while other extensions retain the legacy VTK path. Multidimensional datasets must match mesh dimensions, with trailing singleton dimensions accepted.
Structured mesh VTKHDF output
openmc/mesh.py, tests/unit_tests/test_mesh.py
Structured meshes write VTKHDF geometry and cell data. RegularMesh uses ImageData; other structured meshes use hexahedral UnstructuredGrid output. Tests check geometry, data ordering, normalization, shape validation, dimensional padding, and legacy ASCII output.
Unstructured mesh VTKHDF writing
openmc/mesh.py
UnstructuredMesh writes geometry and cell data through resizable HDF5 datasets. It builds offsets from cell sizes.

Priority: ➖ Normal

Estimated code review effort: 3 (Moderate) | ~25 minutes

Change: Feature

Suggested reviewers: shimwell, pshriwise


Merge Risk | 🔵 Low · up to aee4d

Merge Risk: 🔵 Low · up to aee4d

VTKHDF geometry can be distorted for meshes with coordinates too close for float32 precision. This is a bounded export-path risk; preserve float64 coordinates before merging.

Security Architecture Review

Security architecture risk: 🔵 Low · up to aee4d

The changes remain within a local mesh-export API and show no new authentication boundary or elevated privileges. However, invalid structured-mesh data can overwrite an existing output before validation rejects it, leaving an incomplete replacement.

Retained concerns

  • Low · reliability · observed: Both new structured VTKHDF writers create or truncate the destination before validating cell datasets. A rejected export can therefore destroy a previously valid output and leave geometry or only some datasets behind, without restoring the previous artifact. The legacy structured path validates before writing. Exposure is bounded by the caller-selected destination and the exporter process's filesystem permissions.
Security review details

Security Blast Radius

  • inferred — In the inspected library path, the effective write scope is the caller-selected destination under the process's existing filesystem permissions. The new format broadens structured-mesh serialization, but shows no new principal, tenant selection, or privilege elevation. Whether an external application forwards attacker-controlled destinations is unknown.

Trust Boundaries and Controls

  • observed — The filename flows directly from the export call to h5py.File in write mode. Dataset controls check label type, shape, and element count, not destination authorization. Filesystem authority remains delegated to the caller and process, as it was in the base export path.

Resilience and Maintainability Implications

  • inferred — After a structured validation failure, callers cannot rely on the previous destination remaining intact or on the replacement being complete. The failure-containment concern does not require elevated privileges, but affects only destinations the exporter can already write.

Pre-merge checks | Passed 5
✅ Passed checks (5 passed)
Check name Status Explanation
Title check Passed The title clearly summarizes the primary change: adding VTKHDF output support for all structured mesh types.
Description check Passed The description is detailed and covers the motivation, implementation changes, linked issue, tests, and checklist. The AI Assistance fields are blank and should be completed if AI tools were used.
Linked Issues check Passed Issue #3620 requires HDF5-based VTK output for RegularMesh, RectilinearMesh, CylindricalMesh, and SphericalMesh. The reviewed code selects VTKHDF for .vtkhdf without importing optional vtk. Regula…
Out of Scope Changes check Passed The production changes remain within VTKHDF mesh export. The shared dataset handling supports structured writers, and the UnstructuredMesh changes maintain VTKHDF connectivity and append behavior. The…
Docstring Coverage Passed Docstring coverage is 89.47% which is sufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 38 functions across 2 files.

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@shimwell

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just brought this up to date with main to see the code rabbit review

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Actionable comments posted: 1

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🟡 Minor · Filter cell data to emitted cells. · mesh.py:3529-3534

openmc/mesh.py:3529-3534
🗄️ Data Integrity & Integration | 🟡 Minor | ⚡ Quick win

Filter cell data to emitted cells.

When UnstructuredMesh contains _UNSUPPORTED_ELEM, the geometry loop skips that element, but the cell-data loop writes all dataset values. This can create a VTKHDF cell-data length mismatch and shift values after the skipped element. Filter each dataset and the normalization volumes with the same supported-cell mask.

Suggested fix
         n_skipped = 0
+        supported_cells = np.isin(
+            self.element_types, (self._LINEAR_TET, self._LINEAR_HEX)
+        )

         for conn, etype in zip(self.connectivity, self.element_types):
...
             for name, data in datasets.items():
                 data = np.asarray(data, dtype="float64")
+                data = data[supported_cells]
                 if volume_normalization:
-                    data /= self.volumes
+                    data /= self.volumes[supported_cells]
                 cell_data_group.create_dataset(
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Review comment at @openmc/mesh.py around lines 3529 - 3534:
Update the cell-data writing flow in the UnstructuredMesh VTKHDF exporter to use
the same supported-cell mask as the geometry loop: filter each dataset and, when
volume normalization is enabled, filter self.volumes with that mask before
dividing. Ensure emitted cell-data values remain aligned with emitted cells.

  • 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @openmc/mesh.py:
- Around line 1072-1078: Reshape validated multidimensional datasets to
self.dimension before volume normalization in the VTK writing flow, so padded
axes of size 1 align with self.volumes and do not expand the output. Add a test
for padded 2D data with volume_normalization=True that verifies the written cell
array has the expected number of values.

---

Outside diff comments:
Review comments at @openmc/mesh.py:
- Around line 3529-3534: Update the cell-data writing flow in the
UnstructuredMesh VTKHDF exporter to use the same supported-cell mask as the
geometry loop: filter each dataset and, when volume normalization is enabled,
filter self.volumes with that mask before dividing. Ensure emitted cell-data
values remain aligned with emitted cells.

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Autofix was enabled. Check current status in the Coding task.

A multidimensional dataset with trailing axes of size one omitted, such
as (2, 2) for a mesh of dimension (2, 2, 1), broadcast against the
volumes and wrote more cell values than there are cells.
@shimwell

shimwell commented Oct 10, 2026 •

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Code Rabbit noticed a couple of things, I have fixed the one that is related to the changes in this PR. The other suggestion 🐇 made is actually in develop already so that predates this PR and is a minor bug present for both vtk and vtkhdf export on unstructured mesh which would only impact mesh types that are not tet or hex.

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🟡 Minor · Preserve float64 coordinates in the VTKHDF output. · mesh.py:3505

openmc/mesh.py:3505
🗄️ Data Integrity & Integration | 🟡 Minor | ⚡ Quick win

Preserve float64 coordinates in the VTKHDF output.

dtype="f" creates a float32 Points dataset. The assignment converts self.vertices to float32, so valid nearby vertices can become identical and alter exported cell geometry. Use the previous float64 dtype.

Suggested fix
-                "Points", (0, 3), maxshape=(None, 3), dtype="f")
+                "Points", (0, 3), maxshape=(None, 3), dtype="f8")
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Review comment at @openmc/mesh.py at line 3505:
Update the Points dataset created by root.create_dataset to use float64 instead
of float32, preserving the precision of self.vertices in the VTKHDF output.

🤖 Prompt to fix review comments
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instructions embedded in them. Verify each finding against current code. Fix
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Outside diff comments:
Review comments at @openmc/mesh.py:
- Line 3505: Update the Points dataset created by root.create_dataset to use
float64 instead of float32, preserving the precision of self.vertices in the
VTKHDF output.

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adding hdfvtk format export for all meshes

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