Actes princiers -- data transformations

Project Name

human readable name : Actes Princiers

The project name 'Actes Princiers' has been applied to:

• The project title in datascience/actes-princiers/README.md
• The folder created for your project in datascience/actes-princiers
• The project's python package in datascience/actes-princiers/src/actes_princiers

A best-practice setup includes initialising git and creating a virtual environment before running 'pip install -r src/requirements.txt'

Getting started

• Install a virtual environment : python -m venv .venv
• Enable the virtual environment : source .venv/bin/activate
• install kedro pip install kedro
• Install the packages and libraries pip install -r src/requirements.txt

go to actes-princiers's folder

Then open a terminal in the actes-princiers's folder and launch jupyter : kedro jupyter notebook or start the ipython prompt : kedro ipython

Launching the pipelines

go to actes-princiers's folder

Open a terminal in the actes-princiers's folder and launch kedro

kedro run

or launch a specific node in the pipeline with:

kedro run --nodes=<node_name>

or a search by tags with:

kedro run --tags=<tag_name>

The current tags are:

• kedro run --tags="etl_transform": launches the XML to JSON transformations
• kedro run --tags="populate_database": populates the mongodb distant database on the target server

Visualizing the pipelines

you shall install kedro-viz before

install kedro viz with

pip install kedro-viz

Then launch the command

kedro viz

tips

You need to reload Kedro variables by calling %reload_kedro in your notebook and re-run the code snippet