UserProgress gains selectedLevelsBlob and enabledIrregularCategoriesBlob
(mirrors the existing tense-blob pattern). The multi-level setter keeps the
legacy selectedLevel String in sync with the highest-ranked selection, so
widget sync, AI scenarios, and achievement checks keep working unchanged.
Legacy single-level users are migrated on first read.
Settings replaces the level Picker with per-level toggles and adds an
Irregular Types section with three toggles. Practice pool is the literal
intersection: empty levels means zero results, empty irregular categories
means no irregularity constraint.
Pure filter logic lives in SharedModels (PracticeFilter, VerbLevel.highest)
and is covered by 20 Swift Testing cases. ReferenceStore delegates so the
intersection behavior is unit-tested without a ModelContainer.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
New EnglishConjugator in SharedModels constructs English translations
by combining the verb's infinitive with person pronouns and tense
auxiliaries (e.g., abatir conditional yo → "I would knock down").
Covers all 20 tense IDs, handles 60+ irregular English verbs,
multi-word verbs, 3rd person rules, gerund and participle formation.
VerbDetailView shows the English below each conjugated form, plus a
legend explaining red = irregular conjugation. 42 tests.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Examples shorter than 4 words (like pronunciation guides
"discutir(dees-koo-teer)") are now rejected by both
isBlankResolvable and buildQuestion. The engine only picks real
multi-word sentences for the quiz prompt.
Every card already has at least one real sentence alongside its
phonetic entries, so no data regeneration is needed — the filter
alone fixes the issue.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add a new Complete the Sentence quiz type that renders a Spanish example
sentence from the card with the target word blanked out and asks the
student to pick the missing word from 4 choices (other cards' fronts
from the same week's pool).
Core logic lives in SharedModels/SentenceQuizEngine as pure functions
over VocabCard, covered by 18 Swift Testing tests. CourseQuizView calls
the engine, pre-filters the card pool to cards that can produce a
resolvable blank, and reuses the existing MC rendering via a new
correctAnswer(for:) helper.
VocabCard gains examplesBlanks (parallel array to examplesES) so content
can explicitly tag the blanked substring; DataLoader reads an optional
"blank" key on each example. Additive schema change, CloudKit-safe
default.
Also adds ContentCoverageTests that parse the repo's course_data.json
and assert every card has >=3 examples and yields a resolvable question.
These tests currently fail: 1,117 cards still need sentences. They are
the oracle for the gap-fill pass that follows.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
