Python bindings for Quillmark - format-first Markdown rendering
Project description
Quillmark — Python bindings
Python bindings for Quillmark's format-first Markdown rendering engine.
Maintained by TTQ.
Installation
pip install quillmark
Quick Start
from quillmark import Quillmark, Document, OutputFormat
engine = Quillmark()
quill = engine.quill_from_path("path/to/quill")
markdown = """~~~
$quill: my_quill
$kind: main
title: Hello World
~~~
# Hello
"""
parsed = Document.from_markdown(markdown)
result = quill.render(parsed, OutputFormat.PDF)
result.artifacts[0].save("output.pdf")
API surface
The Python surface mirrors the @quillmark/wasm package. Names
follow snake_case conventions; the underlying concepts (and shapes of
return values) are the same.
Quillmark
engine = Quillmark()
engine.registered_backends() # ['typst']
quill = engine.quill_from_path("path/to/quill")
Quill
quill.backend_id # "typst"
quill.supports_canvas # True iff the backend supports canvas preview
quill.blueprint # auto-generated annotated Markdown blueprint
quill.schema # structured dict of the quill's document schema
quill.metadata # identity snapshot of the quill: section
quill.supported_formats # [OutputFormat.PDF, ...]
quill.quill_ref # "name@version"
result = quill.render(parsed, OutputFormat.PDF) # ppi=, pages= optional
session = quill.open(parsed)
form = quill.form(parsed)
blank = quill.blank_main()
card = quill.blank_card("note")
RenderSession
session = quill.open(parsed)
session.page_count
session.backend_id
session.supports_canvas
session.warnings
session.render(OutputFormat.SVG, pages=[0])
RenderResult / Artifact
result.artifacts # [Artifact, ...]
result.warnings # [Diagnostic, ...]
result.format # OutputFormat
result.render_time_ms # float
artifact.format # OutputFormat
artifact.bytes # bytes
artifact.mime_type # 'application/pdf', 'image/svg+xml', ...
artifact.save("out.pdf")
Document
doc = Document.from_markdown(markdown)
emitted = doc.to_markdown()
stored = doc.to_json()
restored = Document.from_json(stored)
maybe = Document.try_from_json(blob) # None when not a DTO
Document.schema_version_of(blob) # raw tag (incl. unknown futures)
Document.current_schema_version() # what this build writes
doc.clone()
doc.equals(other)
doc.card_count
doc.main; doc.cards; doc.body; doc.warnings
doc.set_field("title", "New")
doc.push_card({"kind": "note", "fields": {"x": 1}, "body": "..."})
# insert_card, remove_card, move_card, set_card_kind,
# update_card_field, remove_card_field, update_card_body, ...
Schema model
A field's cell is inferred from whether the schema declares a default::
- Must Fill (no
default:) — the blueprint renders<must-fill>and validation reportsvalidation::must_fill_absentif the field is absent at validate time, orvalidation::must_fill_sentinelif the<must-fill>sentinel survives into the rendered document. - Endorsed (with
default:) — the blueprint renders the default value with a; delete-okannotation, and the default is used when the document omits the field.
There is no required: axis on FieldSchema.
Error contract
A single exception type — QuillmarkError — is raised for every failure
mode. Every raised exception carries a non-empty .diagnostics list of
Diagnostic objects. This matches the WASM binding's contract.
try:
Document.from_markdown(bad_md)
except QuillmarkError as exc:
for d in exc.diagnostics:
print(d.severity, d.code, d.message, d.path)
EditError-shaped failures (invalid field names, kind names, out-of-range
indices) prefix the message with [EditError::<Variant>] — the same format
WASM uses — so callers can pattern-match on the message when they need to.
Changelog
See the changelog and the GitHub Releases page for release notes and version history.
Development
uv venv
uv pip install -e ".[dev]"
uv run pytest
License
Apache-2.0
Project details
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