Standardizing models and pipes for data pipelines
Project description
bollhav
Model definition framework that standardizes data-pipeline code
This library
- is permissive by design
- is designed with ✨developer experience✨ in mind
Concepts
- Model
- Runtime overrides — env vars that override model settings at run time, plus the
@load_modelsdecorator - Tags
- Modes
- Progress Bar
Implementations:
Demo
Explore the features
See examples/ for self-contained, runnable pipelines that isolate each feature of bollhav
Installation
pip install bollhav
TUI
bollhav ships a terminal UI for running and exploring your models — set the run env (backfill window, suffixes, state mode, …) in a form and fire a dry run, a dry-state run, or the real thing, all without remembering env-var names
Install it with the tui extra, then just run bollhav pointed at a folder
that contains your models:
pip install "bollhav[tui]"
bollhav # browse the current directory
bollhav path/to/models # browse a specific folder
It discovers every Model defined below that folder and runs the nearest
main.py. See bollhav/tui/README.md for the full guide
(keybindings, config, the two modes).
Testing
Tests use pytest. Run the full suite:
pytest tests/
Build + publish example
git tag 1.2.3 && git push --tags
Project details
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