mdld-parse 0.1.1

Parser, generator, merger, locator, and renderer for MD-LD (Markdown-Linked Data), a human-friendly RDF authoring format

mdld-parse (Python)

Markdown-Linked Data (MD-LD) — a deterministic, streaming-friendly RDF authoring format that extends CommonMark with explicit {...} annotations.

A Python implementation of the MD-LD format. The format itself was designed by @davay42, whose JavaScript davay42/mdld-parse is the companion reference for the syntax.

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Quick start

python -m venv .venv
source .venv/bin/activate
pip install -e .

from mdld_parse import parse

text = """
[ex] <http://example.org/>

# Document {=ex:doc .ex:Article label}

[Alice] {?ex:author =ex:alice .prov:Person ex:firstName label}
[Smith] {ex:lastName}
"""

result = parse({'text': text})

for q in result['quads']:
    print(q.subject.value, q.predicate.value, q.object.value)

The quads list contains RDF/JS-shaped Quad objects (Python dataclasses exposing subject, predicate, object, graph); result['origin'] carries the lean source map; result['primary_subject'] names the document's central entity.

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What MD-LD is

MD-LD is RDF you can read, write, diff, and share without leaving Markdown. You add semantics by attaching {...} annotations to value carriers (links, emphasis, headings, list items, code blocks, blockquotes). Strip the annotations and you are left with normal Markdown.

Three things may be in scope at any annotation:

Symbol	Meaning
S	current subject (an IRI)
O	object IRI (from a link, image, or {+iri})
L	literal text from the attached value carrier

No subject, no triple. No {...}, no semantics. Nothing is inferred.

Core features

• Prefix folding — build hierarchical namespaces by composing prefixes
• Subject declarations — {=IRI} and {=#fragment} set context
• Soft objects — {+IRI}, {+#fragment} declare temporary objects
• Three predicate forms — p (S→L), ?p (S→O), !p (O→S)
• Type declarations — .Class emits rdf:type
• Datatypes & languages — ^^xsd:date, @en
• Polarity — +/- prefixes for diff authoring and retraction
• Origin tracking — every quad indexed back to its source span
• Elevated statements — automatic rdf:Statement pattern detection
• Round-trip safe — parse ↔ generate preserves data and primary subject

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Documentation

• docs/index.md — documentation hub
• docs/Guide.md — one-page mental model and patterns
• docs/Syntax.md — full syntax reference
• docs/API.md — Python API reference
• docs/Architecture.md — design and pipeline
• docs/Parser.md — parser internals
• docs/Subject.md — subject declaration walkthrough
• docs/origin.md — lean origin / locate() system
• docs/polarity.md — diff authoring and retraction
• docs/primary-subject.md — primary-subject rules
• docs/statements.md — elevated rdf:Statement extraction
• docs/Use-Cases.md — domain-specific patterns
• examples/index.md — runnable example documents
• spec/index.md — formal specification and grammars
• CHANGELOG.md — version history

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A taste of the format

[my] <tag:[e-mail],2026:>

# 2026-02-27 {=my:journal-2026-02-27 .my:Event my:date ^^xsd:date}

## A nice day in the park {label}

Mood: [Happy] {my:mood}, energy [8] {my:energyLevel ^^xsd:integer}.
Met [Sam] {+my:sam .my:Person ?my:attendee} at
[Central Park] {+my:central-park ?my:location .my:Place label @en}.
The weather was [Sunny] {my:weather}.

After parsing, the document is a queryable graph keyed by tag:[e-mail],2026:journal-2026-02-27 with the relevant relationships to my:sam, my:central-park, and the typed/tagged literals.

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Public API

All functions live at the package root and accept dict-style inputs that compose by spreading:

from mdld_parse import parse, generate, generate_node, merge, locate, render

Function	Purpose	Returns
parse(text | {'text': ..., 'context': ...})	text → quads + origin	{'quads', 'remove', 'statements', 'origin', 'context', 'primary_subject'}
generate(quads | {'quads': ..., 'context': ..., 'primary_subject': ...})	quads → deterministic MD-LD	{'text', 'context'}
generate_node(..., focus_iri=...)	quads → MD-LD centered on one IRI	{'text', 'context'}
merge([doc1, doc2, ...], options)	merge documents with diff polarity	{'quads', 'remove', 'statements', 'origin', 'context', 'primarySubjects'}
locate(quad, origin)	quad → source-map entry	{'blockId', 'range', 'carrierType', ...} or None
render(text, options)	MD-LD → HTML + RDFa	{'html', 'context', 'metadata'}

The dict-spread pattern composes naturally:

parsed = parse({'text': text, 'context': {'ex': 'http://example.org/'}})
canonical = generate(parsed)                       # parse → generate
node_view = generate_node(parsed, focus_iri='http://example.org/alice')

parse() also accepts the legacy positional form parse(text, options); both calls return identical results.

For the full reference, see docs/API.md.

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Compatibility with RDF tooling

The Python Quad / NamedNode / Literal / BlankNode / Variable / DefaultGraph types in mdld_parse.utils mirror the RDF/JS data model: each term has a term_type and value, literals carry language and datatype, and Quad exposes subject, predicate, object, graph. They serialize cleanly into common Python RDF stacks (e.g. rdflib) — see docs/API.md for an rdflib bridge example.

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Project layout

mdld_parse/        Python package (parse, generate, merge, locate, render)
tests/             pytest suite covering the MD-LD format
docs/              guides, syntax, architecture, parser internals
examples/          MD-LD example documents (language-agnostic)
spec/              formal specification + ABNF / EBNF grammars

Tests run with pytest from the project root.

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Credits

The MD-LD format was designed by @davay42; the JavaScript reference implementation is the companion source for the syntax. This package is an independent Python implementation of the format. See CHANGELOG.md for the version history.