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For information on running demos and tests using provided shell scripts, see DevReadMe readme.

ACA-Py Development with Dev Container

The following guide will get you up and running and developing/debugging ACA-Py as quickly as possible. We provide a devcontainer and will use VS Code to illustrate.

By no means is ACA-Py limited to these tools; they are merely examples.

Caveats

The primary use case for this devcontainer is for developing, debugging and unit testing (pytest) the aries_cloudagent source code.

There are limitations running this devcontainer, such as all networking is within this container. This container has docker-in-docker which allows running demos, building docker images, running docker compose all within this container.

Files

The .devcontainer folder contains the devcontainer.json file which defines this container. We are using a Dockerfile and post-install.sh to build and configure the container run image. The Dockerfile is simple but in place for simplifying image enhancements (ex. adding poetry to the image). The post-install.sh will install some additional development libraries (including for BDD support).

Poetry

The Python libraries / dependencies are installed using poetry. For the devcontainer, we DO NOT use virtual environments. This means you will not see or need venv prompts in the terminals and you will not need to run tasks through poetry (ie. poetry run black .). If you need to add new dependencies, you will need to add the dependency via poetry AND you should rebuild your devcontainer.

Running docker-in-docker demos

The following is an example of running the demos in this container using a local von-network. You will have to connect to the local von-network using host.docker.internal not localhost.

Assumes von-network is running outside of VS Code and this container at the default port (9000).

# open a terminal in VS Code...
cd demo
LEDGER_URL=http://host.docker.internal:9000 ./run_demo faber
# open a second terminal in VS Code...
cd demo
LEDGER_URL=http://host.docker.internal:9000 ./run_demo alice
# follow the script...

Further Reading and Links

Devcontainer

What are Development Containers?

A Development Container (or Dev Container for short) allows you to use a container as a full-featured development environment. It can be used to run an application, to separate tools, libraries, or runtimes needed for working with a codebase, and to aid in continuous integration and testing. Dev containers can be run locally or remotely, in a private or public cloud.

see https://containers.dev.

In this guide, we will use Docker and Visual Studio Code with the Dev Containers Extension installed, please set your machine up with those. As of writing, we used the following:

  • Docker Version: 20.10.24
  • VS Code Version: 1.79.0
  • Dev Container Extension Version: v0.295.0

Open ACA-Py in the devcontainer

To open ACA-Py in a devcontainer, we open the root of this repository. We can open in 2 ways:

  1. Open Visual Studio Code, and use the Command Palette and use Dev Containers: Open Folder in Container...
  2. Open Visual Studio Code and File|Open Folder..., you should be prompted to Reopen in Container.

NOTE follow any prompts to install Python Extension or reload window for Pylance when first building the container.

devcontainer.json

When the .devcontainer/devcontainer.json is opened, you will see it building... it is building a Python 3.9 image (bash shell) and loading it with all the ACA-Py requirements (and black). Since this is a Docker container, we will also open ports 9060 and 9061, allowing you to run/debug ACA-Py with those ports available to your localhost (more on those later). We also load a few Visual Studio settings (for running Pytests and formatting with Flake and Black).

In VS Code, open a Terminal, you should be able to run the following commands:

python -m aries_cloudagent -v
cd aries_cloudagent
ruff check .
black . --check

The first command should show you that aries_cloudagent module is loaded (ACA-Py). The others are examples of code quality checks that ACA-Py does on commits (if you have precommit installed) and Pull Requests.

Debugging

To better illustrate debugging pytests and ACA-Py runtime code, let's add some run/debug configurations to VS Code. If you have your own launch.json and settings.json, please cut and paste what you want/need.

cp -R .vscode-sample .vscode

This will add a launch.json, settings.json and an ACA-Py configuration file: multitenant.yml.

Pytest

Pytest is installed and almost ready; however, we must build the test list. In the Command Palette, Test: Refresh Tests will scan and find the tests.

See Python Testing for more details, and Test Commands for usage.

IMPORTANT: our pytests include coverage, which will prevent the debugger from working. One way around this would be to have a .vscode/settings.json that says not to use coverage (see above). This will allow you to set breakpoints in the pytest and code under test and use commands such as Test: Debug Tests in Current File to start debugging.

ACA-Py

Above, we added some run/debug configurations, one of which is to run our ACA-Py source code so we can debug it.

In launch.json you will see:

        {
            "name": "Run/Debug ACA-Py",
            "type": "python",
            "request": "launch",
            "module": "aries_cloudagent",
            "justMyCode": true,
            "args": [
                "start",
                "--arg-file=${workspaceRoot}/.vscode/multitenant.yml"
            ]
        },

To run your ACA-Py code in debug mode, go to the Run and Debug view, select "Run/Debug ACA-Py" and click Start Debugging (F5).

This will start your source code as a running ACA-Py instance, all configuration is in the multitenant.yml file. This is just a sample of a configuration, and we chose multi-tenancy so we can easily create multiple wallets/agents and have them interact. Note that we are not using a database and are joining the http://test.bcovrin.vonx.io ledger. Feel free to change to a local VON Network (by default, it would be http://host.docker.internal:9000) or another ledger. This is purposefully a very simple configuration.

Remember those ports we exposed in devcontainer? You can open a browser to http://localhost:9061/api/doc and see your Admin Console Swagger. Set some breakpoints and hit some endpoints, and start debugging your source code.

For example, open aries_cloudagent/admin/server.py and set a breakpoint in async def status_handler(self, request: web.BaseRequest):, then call GET /status in the Admin Console and hit your breakpoint.

Next Steps

At this point, you now have a development environment where you can add pytests, add ACA-Py code and run and debug it all. Be aware there are limitations with devcontainer and other docker networks. You may need to adjust other docker-compose files not to start their own networks, and you may need to reference containers using host.docker.internal. This isn't a panacea but should get you going in the right direction and provide you with some development tools.