onyx2moodle 0.1.0

Convert ONYX QTI 2.1 question exports (OPAL/BPS) to Moodle XML, including qtype_stack for Maxima-graded items.

onyx2moodle

Convert ONYX QTI 2.1 question exports — as produced by the OPAL learning platform (BPS Bildungsportal Sachsen, used at many German universities) — into Moodle XML question banks. Maxima-graded items become qtype_stack questions; the rest map to core Moodle question types.

• What it does
• Install
• Usage
• CLI reference
• Output format
• Optional structural validation
• What gets converted, what doesn't
• How it works internally
• Project layout
• Development
• Releasing
• Contributing
• License

What it does

OPAL exports questions as nested zip archives:

algebra.zip
└── Algebra/Gruppentheorie/Gruppenaxiome_3.zip
    ├── imsmanifest.xml
    ├── id<uuid>.xml             ← QTI 2.1 assessmentItem
    └── *.png                    ← optional embedded media

onyx2moodle unpacks the tree, classifies each item by its QTI interaction type plus the ONYX-Maxima extensions (customOperator definition="MAXIMA", VARIABLESTRING), and emits one Moodle XML bundle ready for import. The inner folder structure becomes Moodle category headers ($course$/top/Algebra/Gruppentheorie).

ONYX item shape	Moodle target
textEntryInteraction + MAXIMA grading	qtype_stack (1-node PRT)
textEntryInteraction + plain string mapping	shortanswer
choiceInteraction / single inlineChoiceInteraction	multichoice
Multiple inlineChoiceInteraction in one body	cloze (multianswer)
extendedTextInteraction	essay
uploadInteraction	essay with file response
matchInteraction	matching
hottextInteraction	manual rewrite
MAXIMAGRAPHIC plot grading	manual rewrite
Items using <printedVariable> / $(N) template variants	manual rewrite

Items that can't be mechanically translated are listed in a <bundle>.skipped.log beside the output bundle, with the reason — convenient for triage and manual re-authoring.

Install

From PyPI:

pip install onyx2moodle

From a clone (for development):

git clone https://github.com/patrickmelix/onyx2moodle
cd onyx2moodle
pip install -e ".[dev]"

Requires Python 3.10+. The only runtime dependency is lxml.

Usage

# Classify items and print a coverage report (read-only).
onyx2moodle inventory algebra.zip

# Convert the whole archive to one importable Moodle XML bundle.
onyx2moodle convert algebra.zip -o algebra.moodle.xml

# Restrict to specific Moodle target(s) (repeatable).
onyx2moodle convert algebra.zip -o stack-only.xml --only stack

# Unpack only — useful for inspecting source items.
onyx2moodle unpack algebra.zip --work ./work

Import into Moodle: Question bank → Import → Moodle XML format. STACK questions require the qtype_stack plugin on the target Moodle.

CLI reference

onyx2moodle <command> [options]

unpack

Extract an outer ONYX zip into a flat per-item tree on disk.

onyx2moodle unpack <archive.zip> [--work <dir>]

Flag	Default	Description
--work	./work	Where to place the unpacked tree. One subdirectory per item.

Each unpacked item directory contains item.xml (the QTI assessment item), manifest.xml (the IMS manifest, if present), an assets/ folder for embedded media, and a _meta.json recording the source archive path and category breadcrumb.

inventory

Run the parser + classifier on every item in the archive and print a coverage report. No XML is written.

onyx2moodle inventory <archive.zip> [--work <dir>] [--json]

Flag	Default	Description
--work	./work	Same as for unpack.
--json	off	Emit raw JSON instead of the text report.

Sample output:

Inventory: algebra.zip  (307 items)
  Convertible automatically: 280 (91%)

  Target distribution:
    essay         191
    stack          29
    matching       26
    shortanswer    18
    multichoice    12
    cloze           6
    manual         24
    error           1

  Manual / deferred items (top 10 reasons):
      23  uses ONYX template variants (printedVariable / $(N) reference) ...
       1  hottextInteraction — needs per-item rewrite
       ...

convert

End-to-end pipeline: unpack → parse → classify → translate → emit.

onyx2moodle convert <archive.zip> -o <bundle.xml>
                    [--work <dir>]
                    [--course-root <prefix>]
                    [--only <target>]...
                    [--validate]

Flag	Default	Description
-o, --output	(required)	Path for the Moodle XML bundle.
--work	./work	Per-archive unpack location.
--course-root	$course$/top	Prefix for Moodle category headers.
--only	(all)	Restrict to specific targets: stack, multichoice, shortanswer, essay, matching, cloze. Repeatable.
--validate	off	Run the external structural validator on each STACK question.

Side-effects:

• Writes <bundle>.xml and <bundle>.skipped.log (one line per skipped item).

Output format

The bundle is a single <quiz> document. Category headers reproduce the ONYX folder tree:

<?xml version="1.0" encoding="UTF-8"?>
<quiz>
  <question type="category">
    <category><text>$course$/top/Algebra/Gruppentheorie</text></category>
    <info format="html"><text></text></info>
    <idnumber></idnumber>
  </question>

  <question type="stack">
    <name><text>Gruppenaxiome 3</text></name>
    ...
  </question>

  <question type="multichoice">
    ...
  </question>
</quiz>

For each qtype_stack question we emit a one-node PRT with AlgEquiv:

<questionvariables>
  <text>tans_ans1 : {1,3,5,7};</text>
</questionvariables>
<input>
  <name>ans1</name>
  <type>algebraic</type>
  <tans>tans_ans1</tans>
  ...
</input>
<prt>
  <name>prt_ans1</name>
  <node>
    <name>0</name>
    <answertest>AlgEquiv</answertest>
    <sans>ans1</sans>
    <tans>tans_ans1</tans>
    ...
  </node>
</prt>

ONYX set(...) literals are rewritten to Maxima native sets ({...}); $$...$$ LaTeX delimiters become \(...\) (inline) or \[...\] (display when a align/equation/gather/multline/eqnarray environment is detected); embedded <img> references are inlined as base64 <file> blocks using Moodle's @@PLUGINFILE@@ convention.

Optional structural validation

If you have a STACK structural validator (any script that takes a Moodle XML file containing a single <question type="stack"> and exits 0 on pass, non-zero on fail, printing one [WARN] or [FAIL] line per finding), you can wire it in as a post-emission gate:

export ONYX2MOODLE_VALIDATOR=/path/to/validate.py
onyx2moodle convert algebra.zip -o algebra.moodle.xml --validate

Discovery order:

1. $ONYX2MOODLE_VALIDATOR
2. validate.py on PATH

onyx2moodle does not bundle a validator — pick one that suits your target Moodle/STACK version.

What gets converted, what doesn't

Each STACK question emits a one-node PRT with AlgEquiv(ans, tans). This is correct grading, but it has no diagnostic-misconception branches and no <qtest> self-tests. For pedagogically rich STACK questions (multi-branch feedback per named misconception, deployed-variant testing, custom answer notes), re-author the converted item by hand after import.

Specifically out of scope:

• Diagnostic PRT branches and <qtest> self-tests.
• Randomised question variants (items that use <printedVariable> or VARIABLESTRING $(N) references are not mechanically translated; they are flagged for manual rewrite).
• MAXIMAGRAPHIC plot-based grading.
• Mixed-interaction items (e.g. one body combining textEntry and choiceInteraction) — no clean Moodle equivalent.

A representative OPAL course export of ~300 items typically converts ~85–95% automatically; the remainder are flagged for manual review. Distribution skews heavily towards essay (free-text answers), with a smaller core of STACK and core Moodle types. Run onyx2moodle inventory on your archive to see your own breakdown.

How it works internally

Pipeline per item:

1. Unpack — unpack.py opens the outer zip, walks each inner zip (one per question), and writes the QTI XML + assets to a per-item directory. The directory tree above the inner zip is recorded as the category_path.
2. Parse — parser.py builds a small domain model (AssessmentItem) from the QTI XML using lxml + namespace-aware XPath. Captures response declarations, template bindings, grading rules, modal feedback, and the list of interactions.
3. Classify — classifier.py decides the Moodle target. Includes a defensive rule that defers any item using <printedVariable> or $(N) template references to manual rewrite — these encode random variant logic that can't be mechanically translated to STACK's Maxima questionvariables.
4. Translate — translate/*.py modules each produce one <question type="...">...</question> block for their target. The STACK translator uses slot-substitution templates in templates/*.xml; the other translators emit XML directly.
5. Emit — emitter.py groups blocks by category path, writes the <question type="category"> headers, and bundles everything into one <quiz> document.
6. Validate (optional) — qa.py extracts each <question type="stack"> block, wraps it as a single-question document, and runs your external validator script.

Project layout

src/onyx2moodle/
├── unpack.py            # Nested-zip extractor
├── parser.py            # QTI 2.1 + ONYX-Maxima -> domain model
├── classifier.py        # Per-item routing decisions
├── translate/
│   ├── common.py        # Math delim, image embed, body extraction
│   ├── stack.py         # qtype_stack with 1-node PRT
│   ├── multichoice.py
│   ├── shortanswer.py
│   ├── essay.py
│   ├── matching.py
│   └── cloze.py
├── render/templates.py  # Slot-substitution helpers
├── templates/           # XML templates used during emission
├── emitter.py           # Category headers + bundle envelope
├── qa.py                # Optional external-validator wrapper
└── cli.py               # argparse front-end

Development

git clone https://github.com/patrickmelix/onyx2moodle
cd onyx2moodle
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

pytest                  # run the suite
ruff check src tests    # lint

The test suite covers nested-zip unpacking edge cases, QTI parsing round-trips, the classifier's routing decisions (including the safeguard that defers template-variant items), and end-to-end translation well-formedness for each Moodle target.

CI runs the suite on Python 3.10–3.13 on Linux, with single-Python smoke runs on macOS and Windows. See .github/workflows/ci.yml.

Releasing

Releases are tag-driven, published to PyPI via Trusted Publishing (OIDC) — no API tokens to rotate. The two release workflows are:

• .github/workflows/release-pypi.yml — fires when a v* tag is pushed, builds sdist + wheel, asserts the tag matches pyproject.toml's version, and uploads to PyPI.
• .github/workflows/release-testpypi.yml — manual workflow_dispatch, same build, uploads to TestPyPI for dry runs.

One-time PyPI setup (project maintainer)

1. Trusted publisher on PyPI — log in to https://pypi.org/manage/account/publishing/ and add a pending publisher with:
   • PyPI project name: onyx2moodle
   • Owner: patrickmelix
   • Repository: onyx2moodle
   • Workflow: release-pypi.yml
   • Environment: pypi
2. Trusted publisher on TestPyPI — same form at https://test.pypi.org/manage/account/publishing/ with workflow release-testpypi.yml and environment testpypi.
3. GitHub environments — under Settings → Environments, create pypi and testpypi. Optionally add a required reviewer to pypi so each release requires a human click.

Cutting a release

# 1. Bump the version
$EDITOR pyproject.toml          # change `version = "..."`
git commit -am "Release v0.2.0"

# 2. Tag and push
git tag v0.2.0
git push origin main --tags

The Release to PyPI workflow takes it from there.

To dry-run on TestPyPI first, bump the version to a pre-release suffix (e.g. 0.2.0rc1) and run Release to TestPyPI via the Actions tab, then install with:

pip install --index-url https://test.pypi.org/simple/ \
            --extra-index-url https://pypi.org/simple/ \
            onyx2moodle

Contributing

Issues and pull requests welcome at https://github.com/patrickmelix/onyx2moodle/issues. Please run the test suite (pytest) and the linter (ruff check src tests) before submitting.

License

MIT