sheetah 0.2.1

A small toolkit to parse Markdown into searchable segments

sheetah

sheetah is a lightweight Python library for working with Markdown documents. It splits a Markdown file into segments based on H2 headers ("##"), provides fuzzy search over segment titles and content, and includes an interactive command-line interface with clipboard copy support.

Installation

Install from PyPI:

pip install sheetah

Or install and develop locally in a virtual environment:

cd sheetah
python -m venv .venv
# Windows
. .venv/Scripts/activate
# macOS / Linux
source .venv/bin/activate
python -m pip install -e .[all]

The optional extras include prompt_toolkit and pyperclip for the interactive UI.

Usage

Programmatic

from sheetah import Document

md = """Introduction

## Section 1
Text1

## Section 2
Text2
"""

doc = Document.from_markdown(md)
print(doc.description)
for seg in doc.search("Text"):
    print(seg.name)
    print(seg.text())

Command line

sheetah path/to/file.md

The interactive UI lets you:

1. Enter a search query at the top.
2. See results listed with the best match selected by default.
3. Navigate results with the arrow keys and preview the segment.
4. Press Enter to copy the selected segment's text to the clipboard.
5. Press Ctrl-C or Ctrl-Q to exit.

The document description (everything before the first ##) is shown above the search input.

API

• Document.from_markdown(markdown: str) -> Document — create a document from a Markdown string.
• Document.items — list of Segment instances.
• Document.description — Markdown text before the first H2 header.
• Document.search(query: str, limit: Optional[int] = None) — fuzzy search.
• Segment.name — segment title (header).
• Segment.text() — plain-text representation of the segment.
• Segment.html() — HTML representation of the segment.

Tests

Run the test suite with:

pytest

Contributing

Contributions are welcome. Please open issues or pull requests on GitHub.

License

MIT — see the LICENSE file for details.