[QTI] Publish mixed Perseus + QTI exercises as one QTI package

[rtibbles]

Overview

Let a single exercise node containing both raw Perseus questions and QTI questions publish together as one QTI package. Raw Perseus questions are wrapped in a custom QTI interaction that Kolibri's QTI Viewer renders via the Perseus renderer (Kolibri side: #9).

Complexity: High
Target branch: unstable

Context

• Today a node publishes either Perseus or QTI, never both in one package — the two are mutually exclusive at publish.
• Kolibri gates import by renderability; a mixed package also needs the Perseus renderer, so publish declares it via File.included_presets (see contract; honored by Fixes browserify subprocess running for windows. #10).

The Change

• In publish.py, relax the one-generator-per-node selection so a node holding both perseus_question and QTI items routes to QTI packaging.
• For each perseus_question, write its Perseus JSON to a referenced package file via QTIExerciseGenerator, emitted as the contract's custom interaction.
• Add and populate included_presets on the published File mirror (kolibri_content/kolibri_public): own-preset bit, plus the exercise bit for a qti File embedding a Perseus custom interaction.

Contract — Perseus-in-QTI custom interaction

Shared with the Kolibri renderer issue (learningequality/kolibri). Exact attribute validity is confirmed against the QTI 3.0 XSD under #2.

• Each raw Perseus question is a qti-custom-interaction (the spec's delivery-engine-specific element — no JS module required) with a data-type="perseus" marker.
• The Perseus JSON is a resource file in the package, referenced by data-perseus-path; every file it references (images, and graphie .svg/-data.json) is packaged and declared as a dependency of that resource in the manifest.
• The host's Perseus renderer, keyed off data-type="perseus", owns rendering and grading; it grades the attempt and reports the resulting correct/incorrect back through the QTI response (no QTI-native response-processing template).

<qti-custom-interaction
    response-identifier="RESPONSE"
    data-type="perseus"
    data-perseus-path="perseus/{assessment_id}.json"/>

Contract — File.included_presets bitmask

Shared with the Kolibri import-gating issue (learningequality/kolibri).

• Each published File carries included_presets: a bitmask of the presets whose renderer it needs, including its own preset.
• A normal file's value is just its own preset's bit.
• A qti File embedding ≥1 Perseus custom interaction sets the qti and exercise bits.
• The preset→bit ordering is defined in le-utils (alongside the new QTI type).
• Kolibri (Fixes browserify subprocess running for windows. #10) treats a node as renderable if any file's included_presets is a subset of the locally available presets.

Acceptance Criteria

• A mixed node yields one QTI package whose manifest lists both native QTI items and Perseus custom interactions
• Each Perseus custom interaction references its Perseus JSON and assets as package files (see Contract)
• The package validates against the QTI 3.0 XSD (Ant's backend plus setting up front end files #2)
• The mixed qti File has included_presets = qti | exercise; non-mixed files carry only their own preset bit
• Native QTI questions in the same node are unaffected
• Tests cover a mixed node and assert both question kinds appear in the package

References

• Allow Kolibri to render QTI assessments kolibri#11428 — Kolibri QTI rendering
• Kolibri renderer counterpart (Perseus custom-interaction rendering) — created alongside this issue

AI usage

Architecture decided with the maintainer across an iterative session: blanket QTI type with the item XML in raw_data; XSD-authoritative validation across all sources; a legacy→QTI global migration with an API-layer dual-read; ricecooker upload delegating to the AssessmentItem serializer; and a Perseus custom-interaction contract confirmed against the QTI 3.0 specification. Claude mapped the existing publish/validation/ricecooker code, proposed the breakdown, and drafted each issue; the maintainer steered every decision and reviewed throughout.