Watchtower

Follow these instructions to deploy Watchtower in your production pipeline.

Requirements

• Python 3.9+
• A working installation of Kitsu (optional)

In order to generate data for Watchtower, follow these steps:

• Create a new folder, step into it and run:
• python -m venv .venv
• source .venv/bin/activate
• pip install watchtower-pipeline

Setup with example data

To create an example project that will give you an idea of how the pipeline works:

• Run python -m watchtower_pipeline.example -b
• Navigate to the watchtower folder and run python -m http.server

Setup with Kitsu-sourced data

If you have a working Kitsu (and Zou) install and want to extract and visualize data from it:

• Create a .env.local file as follows:

KITSU_DATA_SOURCE_URL=https://<your-kitsu-instance>/api
KITSU_DATA_SOURCE_USER_EMAIL=user@example.org
KITSU_DATA_SOURCE_USER_PASSWORD=password

• Run python -m watchtower_pipeline.kitsu -b
• Copy the content of the watchtower folder into your webserver
• Running the command without the -b flag will only fetch the data, and place it in a directory called public/data, which can then be synced to where the watchtower folder has been placed

Setup with custom-sourced data

If you use a different production/asset tracking service, some scripting will be required. The following steps are recommended:

• Set up a new Python project (using virtualenv)
• Run pip install watchtower-pipeline
• Check docs/custom-sources.md for how to use the watchtower_pipeline module