ekglib

A Python Library for various tasks in an EKG DataOps operation.

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Metadata Parsers

• Concept Parser
• Persona Parser
• Story Validate Rule Parser
• Story Vaidate Rules Capture
• Story Validate Rules Executor
• Use Case Parser
• User Story Parser

Capture Steps

• Xlsx Parser
• LDAP Parser

Maturity Model Tools

• Maturity Model Parser

Pipelines and Export

• Pipeline Framework
• Step Export

LDAP Variants

• LDAP Parser to File
• LDAP Parser to S3

Storage and Data Access

• S3 Helpers
• Data Sources
• Datasets

Knowledge Graph and SPARQL Utilities

• KG IRI Utilities
• SPARQL Helpers
• Namespaces
• Ontologies and Resources

Core Utilities

• Logging Utilities
• String Utilities
• Git Utilities
• Exceptions
• MIME Helpers
• Main CLI Entrypoint

Installation

ekglib is not yet published on PyPI. You can install it directly from GitHub.

Using uv from GitHub (recommended)

Add ekglib as a dependency from GitHub:

uv add --git https://github.com/EKGF/ekglib.git

You can then run the provided CLI tools via uv:

uv run xlsx-parser --help
uv run user-story-parser --help
uv run pipeline-example --help

To install the CLI tools as global commands (similar to pipx):

uv tool install --git https://github.com/EKGF/ekglib.git

xlsx-parser --help
user-story-parser --help
pipeline-example --help

Using pip from GitHub

If you prefer to use pip, you can install from the GitHub repo:

python -m pip install "git+https://github.com/EKGF/ekglib.git"

The console scripts will then be available on your PATH:

xlsx-parser --help
user-story-parser --help
pipeline-example --help

Development setup (from source)

If you cloned this repository and want to work on ekglib itself:

uv sync

This will create and populate a virtual environment using uv based on pyproject.toml.

Tests

To run all tests:

uv run pytest

To run a single test:

uv run pytest tests/<path-to-test> -k <name-of-test>

Packaging

uv build

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