What is CPYDeploy?

This script assists in deploying a script and its associated libraries (and, eventually, other resources) to a Circuit Python device. By maintaining an up-to-date unzipped copy of the Circuit Python library bundle on your computer, you can easily downlaod the script and the latest versions of all required libraries in one step.

What Does It Do?

At present, CPYDeploy will copy the specified script, and the libraries it uses, to your Circuit Pythonh board/device. That's it. But I'm rapidly developing this to make it a more fully featured deployment tool for CircuitPython projects.

Using CPYDeploy

The process of using the CPYDeploy is as follows:

1. Create a YAML deployment spec for the script you're deploying.
2. Run the cpy_deploy.py tool.

These steps are described in more detail in the following sections.

Global Configuration

Currently, you need to edit the definition of CPY_LIBDIR near the top of the cpy_deploy.py file to define the location of the Circuit Python library bundle. This will shortly be moved to a config file.

Creating a YAML Deployment Spec

Each Circuit Python script to be deployed needs to have a deployment specification file. This is named the same as the script, but with a .yaml extension. This deployment spec needs to contain the following elements:

• deploy_as: Specifies the name you'd like the script to have when it's deployed on the target board (for example, main.py).

• libraries: A list of the libraries used by the script. These should correspond with either a subdirectory in the Circuit Python library bundle, or the name (minus extension) of a single .mpy file in the library bundle for libraries not in a subdirectory.

Here's a sample YAML file showing the deployment of the script cp_neopixel_demo.py. The YAML file needs to be named cp_neopixel_demo.yaml and be in the same directory as the script to be deployed.

"deploy_as": "main.py"
"libraries":
  - "neopixel"
  - "adafruit_fancyled"
  - "adafruit_itertools"

Note that the sample YAML file in this repo currently has some extra stuff for future expansion. Unrecognized elements in the YAML file are parsed when the file is read, but are ignored.

Running the Script

The command-line usage for the script is:

cpy_deploy.py [--libdir path_to_library_bundle] [--cpydrive drive_name] script_name.py

The source folder containing the CircuitPython library bundle is defined by the CPY_LIBDIR constant, or can be overridden by the --libdir command line option..

The name of your CircuitPython's drive defaults to CIRCUITPY, but you can override this with the --cpydrive command line option.

Future Enhancements

The following tasks are on the roadmap for this script. If you feel like contributing to this project, feel free to submit pull requests.

Minimum Viable Script tasks

1. Error handling

Enhanced Functionality

1. Deploying other assets (bitmaps, fonts, etc.)
2. Configuring library sources in the YAML file
3. Global YAML plus per-project
4. Detection of CPY version installed and copying appropriate libraries
5. Function to scan the script file and attempt to generate a YAML config
6. Function to download/update CP Library Bundle zips

Refactoring

1. A more robust implementation of find_cpy_drive
2. Modularize script methods into the library and incorporate that

Contributing

Please be aware that by contributing to this project you are agreeing to the Code of Conduct. Contributors who follow the Code of Conduct are welcome to submit pull requests and they will be promptly reviewed by project admins.