intenttext 1.0.0

IntentText - the semantic document format that is natively JSON

IntentText Python

Python implementation of the IntentText parser and renderer.

Independent implementation (not a Node.js wrapper), designed for Python workflows and AI stacks.

Install

pip install intenttext

Quick Start

from intenttext import parse, render_html, merge_data, validate, query

# Parse a document
source = """
title: Sprint Planning
section: Tasks
task: Write tests | owner: Ahmed | due: Friday
task: Deploy to staging | owner: Sarah | due: Monday
gate: Final approval | approver: Lead | timeout: 24h
""".strip()

doc = parse(source)

# Query for tasks
tasks = query(doc, type="task")
for task in tasks:
    print(f"{task.content} -> {task.properties.get('owner', 'unassigned')}")

# Validate workflow semantics
result = validate(doc)
if not result.valid:
    for issue in result.issues:
        print(f"[{issue.type.upper()}] {issue.message}")

# Render to HTML
html = render_html(doc)

API

• parse(source: str) -> IntentDocument
• parse_safe(source: str, ...) -> ParseResult
• render_html(doc: IntentDocument, include_css: bool = True) -> str
• render_print(doc: IntentDocument) -> str
• render_markdown(doc: IntentDocument) -> str
• merge_data(template: IntentDocument, data: dict) -> IntentDocument
• parse_and_merge(template_source: str, data: dict) -> IntentDocument
• validate(doc: IntentDocument) -> ValidationResult
• query(doc: IntentDocument, ...) -> list[IntentBlock]
• to_source(doc: IntentDocument) -> str

Development

pip install -e .[dev]
pytest

Release (PyPI)

# 1) Ensure tests pass
python3 -m pytest -q

# 2) Build source + wheel
python3 -m pip install -U hatch twine
hatch build

# 3) Validate package metadata and long description
twine check dist/*

# 4) Upload (interactive)
twine upload dist/*

Tag-based release flow:

git tag v1.0.0
git push origin v1.0.0

GitHub Action publish workflow uses PYPI_API_TOKEN for automated release on v* tags.

License

MIT