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Python parser and validator for the LearnSpec suite (LearnMD, QuizMD, FlashMD, TrackMD, DiagramMD, MediaMD, GlossaryMD, BadgeMD, CertMD, NuggetMD)

Project description

pylearnspec

Python parser and validator for the LearnSpec suite of open standards:

Format API
LearnMD — instructional content parse_learn, validate_learn
QuizMD — assessments parse_quiz, validate_quiz
FlashMD — flashcards parse_flash, validate_flash
NuggetMD — micro-learning nuggets parse_nugget, validate_nugget
TrackMD — learning paths parse_track, validate_track
DiagramMD — diagrams parse_diagram, validate_diagram
MediaMD — media catalogues parse_media, validate_media
GlossaryMD — glossaries parse_glossary, validate_glossary
BadgeMD — micro-credentials parse_badge, validate_badge
CertMD — macro-credentials parse_cert, validate_cert

Install

pip install pylearnspec

Quick start

Parse a QuizMD file

from pylearnspec import parse_quiz

with open("my-quiz.quiz.md") as f:
    quiz = parse_quiz(f.read())

print(quiz.title)
print(f"{len(quiz.questions)} questions")

for q in quiz.questions:
    print(f"  Q{q.number} ({q.q_type}): {q.title}")

Parse a LearnMD file

from pylearnspec import parse_learn

with open("my-lesson.learn.md") as f:
    lesson = parse_learn(f.read())

print(lesson.title)
for section in lesson.sections:
    print(f"  {'#' * section.depth} {section.title}")

Validate

from pylearnspec import validate_quiz, validate_learn

# Lenient mode (default)
diagnostics = validate_quiz(content)

# Strict mode (for CI)
diagnostics = validate_quiz(content, strict=True)

for d in diagnostics:
    print(f"[{d.level}] {d.message}")

JSON output

Both Quiz and Lesson objects have a .to_dict() method for JSON serialization:

import json
from pylearnspec import parse_quiz

quiz = parse_quiz(content)
print(json.dumps(quiz.to_dict(), indent=2))

Supported features

QuizMD

  • Frontmatter (Level 1) and per-question quiz blocks (Level 2)
  • Question types: MCQ, multi-select, true/false, open answer, match, order
  • Per-choice and global feedback ([!correct], [!incorrect])
  • !import directives
  • Validation (lenient and strict modes)

LearnMD

  • Frontmatter metadata (lang, estimated_time, tags)
  • Section hierarchy (## modules, ### lessons)
  • Special fenced blocks: summary, example, note, tip, warning, quiz, etc.
  • GFM callout detection (> [!tip], > [!warning], etc.)
  • !import directives (.learn.md and .quiz.md)
  • Validation (lenient and strict modes)

LearnSpec suite (v0.2)

Every format follows the same shape:

  • YAML frontmatter with the universal fields (lang required, license, spec_version, created, updated)
  • Cross-format directives !import, !ref, !checkpoint (when applicable) — see pylearnspec.common.directives
  • parse_<format>(content) returns a typed dataclass with a .to_dict() method
  • validate_<format>(content, strict=False) returns a list of Diagnostic(level, message)

Development

pip install -e ".[dev]"
pytest

License

MIT

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