kanban-indexer is a simple Python library that implements a lexicographic indexing system for ordered collections, such as columns on a Kanban board. It uses a chracter-based system that should allow for an arbitrary number of insertions between any two existing indices without the need for reindexing.
- Generates string indices composed of characters A-Z
- Uses lexicographic ordering to determine item placement
- Creates new indices at the midpoint between existing indices
- Allows insertions before the first item and after the last item
- Avoids floating-point precision issues by using string comparisons
- Produces human-readable indices
You can install kanban-indexer using pip:
pip install kanban-indexer
Here's a quick example of how to use kanban-indexer:
from kanban_indexer import compute_intermediate_index, compute_preceding_index, compute_succeeding_index
# Generate an index between "B" and "C"
middle_index = compute_intermediate_index("B", "C")
print(middle_index) # Output: BM
# Generate an index before "A"
before_b = compute_preceding_index("B")
print(before_b) # Output: AZ
# Generate an index after "Z"
after_z = compute_succeeding_index("Z")
print(after_z) # Output: ZBComputes the intermediate index between two given indices.
Returns the preceding index value based on the given index.
Returns the succeeding index based on the given index.
This project is licensed under the MIT License - see the LICENSE file for details.
To set up the development environment:
- Clone the repository
- Create and activate a virtual environment:
python -m venv venv source venv/bin/activate - Install the package with development dependencies:
pip install -e .[dev]
You can run tests using pytest:
pytest
This project uses ruff for linting and formatting. To run ruff:
ruff check .
To automatically fix issues and format code:
ruff check --fix .