Commit Graph

4 Commits

Author SHA1 Message Date
Trey T
63dfc5e41a Add textbook reader, exercise grading, stem-change toggle, extraction pipeline
Major changes:
- Textbook UI: chapter list, reader, and interactive exercise view (keyboard
  + Apple Pencil) surfaced under the Course tab. 30 chapters, 251 exercises.
- Stem-change conjugation toggle on Week 4 flashcard decks (E-IE, E-I, O-UE).
  Uses existing VerbForm + IrregularSpan data to render highlighted present
  tense conjugations inline.
- Deterministic on-device answer grader with partial credit (correct / close
  for accent-stripped or single-char-typo / wrong). 11 unit tests cover it.
- SharedModels: TextbookChapter (local), TextbookExerciseAttempt (cloud-
  synced), AnswerGrader helpers. Bumped schema.
- DataLoader: textbook seeder (version 8) + refresh helpers that preserve
  LanGo course decks when textbook data is re-seeded.
- Local extraction pipeline in Conjuga/Scripts/textbook/ — XHTML chapter
  parser, answer-key parser, macOS Vision image OCR + PDF page OCR, merger,
  NSSpellChecker validator, language-aware auto-fixer, and repair pass that
  re-pairs quarantined vocab rows using bounding-box coordinates.
- UI test target (ConjugaUITests) with three tests: end-to-end textbook
  flow, all-chapters screenshot audit, and stem-change toggle verification.

Generated textbook content (textbook_data.json, textbook_vocab.json) and
third-party source files are gitignored — re-run Scripts/textbook/run_pipeline.sh
locally to regenerate.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 15:12:55 -05:00
Trey t
a1dc17bf00 Add per-form English translations to verb conjugation table
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>
2026-04-11 23:44:17 -05:00
Trey t
5fa1cc3921 Filter phonetic glosses from Complete the Sentence quiz
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>
2026-04-11 22:22:28 -05:00
Trey t
143e356b75 Complete the Sentence quiz type: engine, UI, tests
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>
2026-04-11 19:33:50 -05:00