Skip to main content

Python bindings for mq, a jq-like command-line tool for Markdown processing

Project description

mq-python

PyPI

Python bindings for the mq Markdown processor.

Installation

pip install markdown-query

Usage

Basic Usage

Use the run function to process Markdown with mq queries:

import mq

# Extract all level 1 headings
result = mq.run(".h1", "# Hello World\n\n## Heading2\n\nText")
print(result.values)  # ['# Hello World']

# Extract all level 2 headings
result = mq.run(".h2", "# Main Title\n\n## Section A\n\n## Section B")
print(result.values)  # ['## Section A', '## Section B']

# Get all results as a single string
print(result.text)  # '## Section A\n## Section B'

Filtering and Transforming

Use mq query syntax to filter and transform Markdown:

import mq

markdown = """
# Product

## Features
Great features here.

## Installation
Install instructions.
"""

# Filter headings containing specific text
result = mq.run('.h2 | select(contains("Feature"))', markdown)
print(result.values)  # ['## Features']

# Extract list items
result = mq.run(".[]", "# List\n\n- Item 1\n- Item 2\n- Item 3")
print(result.values)  # ['- Item 1', '- Item 2', '- Item 3']

# Extract code blocks
result = mq.run(".code", "# Code\n\n```python\nprint('Hello')\n```")
print(result.values)  # ["```python\nprint('Hello')\n```"]

Input Formats

mq supports multiple input formats:

import mq

# Markdown (default)
options = mq.Options()
options.input_format = mq.InputFormat.MARKDOWN
result = mq.run(".h1", "# Heading", options)

# MDX (Markdown with JSX)
options = mq.Options()
options.input_format = mq.InputFormat.MDX
result = mq.run("select(is_mdx())", "# MDX\n\n<Component />", options)
print(result.values)  # ['<Component />']

# HTML
options = mq.Options()
options.input_format = mq.InputFormat.HTML
result = mq.run('select(contains("Hello"))', "<h1>Hello</h1><p>World</p>", options)
print(result.values)  # ['# Hello']

# Plain text
options = mq.Options()
options.input_format = mq.InputFormat.TEXT
result = mq.run('select(contains("2"))', "Line 1\nLine 2\nLine 3", options)
print(result.values)  # ['Line 2']

Available input formats:

  • InputFormat.MARKDOWN - Standard Markdown (default)
  • InputFormat.MDX - Markdown with JSX
  • InputFormat.HTML - HTML content
  • InputFormat.TEXT - Plain text
  • InputFormat.RAW - Raw string input
  • InputFormat.NULL - Null input

Rendering Options

Customize the output rendering:

import mq

options = mq.Options()
options.input_format = mq.InputFormat.MARKDOWN
options.list_style = mq.ListStyle.PLUS        # Use '+' for list items
options.link_title_style = mq.TitleSurroundStyle.SINGLE  # Use single quotes for link titles
options.link_url_style = mq.UrlSurroundStyle.ANGLE       # Use angle brackets for URLs

result = mq.run(".", markdown, options)

Available options:

  • ListStyle: DASH (default), PLUS, STAR
  • TitleSurroundStyle: DOUBLE (default), SINGLE, PAREN
  • UrlSurroundStyle: NONE (default), ANGLE

HTML to Markdown Conversion

Convert HTML to Markdown:

import mq

html = "<h1>Hello World</h1><p>This is a <strong>test</strong>.</p>"
markdown = mq.html_to_markdown(html)
print(markdown)  # '# Hello World\n\nThis is a **test**.'

# With conversion options
options = mq.ConversionOptions()
options.extract_scripts_as_code_blocks = True  # Convert <script> tags to code blocks
options.generate_front_matter = True           # Generate front matter from metadata
options.use_title_as_h1 = True                 # Use <title> as h1 heading

markdown = mq.html_to_markdown(html, options)

Working with Results

The run function returns an MQResult object:

import mq

result = mq.run(".h", "# H1\n\n## H2\n\n### H3")

# Get the number of results
print(len(result))  # 3

# Access individual results by index
print(result[0].text)  # '# H1'

# Iterate over results
for value in result.values:
    print(value)

# Get all results as a single string
print(result.text)  # '# H1\n## H2\n### H3'

# Check if a value is in the result
print("# H1" in result.values)  # True

Each MQValue has the following properties:

  • text - The string representation of the value
  • values - For arrays, returns the list of values
  • markdown_type - The type of Markdown element (e.g., Heading, Code, List)
  • is_array() - Check if the value is an array
  • is_markdown() - Check if the value is a Markdown element

Error Handling

Invalid queries raise a RuntimeError:

import mq

try:
    result = mq.run(".invalid!!!", "# Heading")
except RuntimeError as e:
    print(f"Query error: {e}")

Development

Building from Source

git clone https://github.com/harehare/mq
cd mq/crates/mq-python
pip install maturin
maturin develop

Running Tests

pytest tests/

Support

License

Licensed under the MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

markdown_query-0.6.3-cp39-abi3-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9+Windows x86-64

markdown_query-0.6.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.9+manylinux: glibc 2.17+ x86-64

markdown_query-0.6.3-cp39-abi3-macosx_11_0_arm64.whl (2.8 MB view details)

Uploaded CPython 3.9+macOS 11.0+ ARM64

File details

Details for the file markdown_query-0.6.3-cp39-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for markdown_query-0.6.3-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 6b70afe8cacef07555831e34e918530b464b09ceae5499078540e12c8df474bb
MD5 cd1b055e8fb7907a8f41a0a92d038f61
BLAKE2b-256 4693e2a5b1e37c2e04d2d077854c878075d675193daeeef51ab1731e7fe7368a

See more details on using hashes here.

Provenance

The following attestation bundles were made for markdown_query-0.6.3-cp39-abi3-win_amd64.whl:

Publisher: release.yml on harehare/mq-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file markdown_query-0.6.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for markdown_query-0.6.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bdb41fe690585313ce87570634590a2ab40d8c8155356ec2e12340db8e584ac5
MD5 6d1c26f7edc89877b3b9f889bcd2873d
BLAKE2b-256 935bf57741414eda0e001d3853f0fc7fb9da60f9aabd2a532895d5ebee81d8f1

See more details on using hashes here.

Provenance

The following attestation bundles were made for markdown_query-0.6.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: release.yml on harehare/mq-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file markdown_query-0.6.3-cp39-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for markdown_query-0.6.3-cp39-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8d3ffa570717c3958b248d84e3fd8a08ccefc816ac86f953483c4bfae0e49769
MD5 204dfd790f4f2c428f56a46a94d092db
BLAKE2b-256 1018662cc06bff538db31995fc8fd714836e60a1233dfd56eb492c52feb5441e

See more details on using hashes here.

Provenance

The following attestation bundles were made for markdown_query-0.6.3-cp39-abi3-macosx_11_0_arm64.whl:

Publisher: release.yml on harehare/mq-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page