ADAM (Asteroid Decision, Analysis, and Mapping) is a cloud-based software platform that performs astrodynamics algorithms (e.g. orbit propagation). You can find whitepapers, presentations, etc. here.

The ADAM platform provides a REST API and this repo contains the Python SDK (software development kit) that can be used for accessing the API.

The ADAM API is currently in private beta. If you'd like to write Python workflows that use ADAM, reach out to carise@ to request a project ID.

The following configuration steps have been tested on Mac OS (Catalina and Big Sur), Linux (Debian-like), and WSL (Debian, Ubuntu). There's also been some limited testing on the Windows Anaconda Powershell command prompt.

1. Install anaconda. The individual edition is sufficient if you don't already have anaconda.

2. Install adamctl. This command line utility helps you configure your ADAM Python client. (More on that below.)

# get latest release of ADAM sdk
# add the -c conda-forge for some of the adam dependencies
conda install -c conda-forge -c asteroid-institute adam

3. Login to ADAM. This authenticates you with the ADAM server so that you can access the ADAM APIs. You will need a Google account. (e.g. gmail or a Google Workspace email).

adamctl login dev https://adam-dev-193118.appspot.com/_ah/api/adam/v1

4. Set your ADAM project ID. The project is like a folder for jobs you run on ADAM.

adamctl config envs.dev.workspace "YOUR_WORKSPACE_ID"

5. To view your ADAM server configurations:

adamctl config

Once you have the package installed, you should be able to run the demonstration notebooks found in the demos/ directory. The single_run_demo is a good place to start.

Before invoking code from the ADAM SDK, you'll want to include the following code at the top of your notebook (after the imports):

# The default configuration is prod
cm = ConfigManager()

# If you need to use a different server than the default e.g. dev:
# cm.set_default_env('dev')
# You can also set your default environment using the adamctl command-line tool, e.g.
# adamctl config default_env dev

# Configure the REST API server endpoint and user token
auth_rest = AuthenticatingRestProxy(RestRequests())

# If you need to use properties in the config, e.g. your workspace ID:
config = cm.get_config()
print(config[workspace])

See the single_run_demo notebook for an example.

https://b612-asteroid-institute.github.io/adam_home/index.html

The ADAM SDK is a pure-python package that follows the standard setuptools directory layout and installation mechanisms. The source code is in the adam/ subdirectory, the tests are in tests/. A number of demo notebooks are provided in demos/. Conda package recipe files are in recipe/. setup.py in the root of the repository handles the install, as well as the creation of the setupctl script via an entrypoint.

A typical development loop will consist of:

• Create a separate Anaconda environment.
• Running python setup.py develop, to add the source code onto your $PYTHONPATH. This is needed only once.
• Making some changes to the package in adam/
• Testing with pytest ./tests --cov=adam --ignore=tests/integration_tests
• Commit, push, PR.

Installing adamctl from source, instead of Anaconda. Do this if you're developing the ADAM SDK.

# grab the source code
git clone [email protected]:B612-Asteroid-Institute/adam_home
cd adam_home

# create a new conda environment with the necessary dev tools
conda create -n adam-dev --file conda-requirements.txt
conda activate adam-dev

# install ADAM in dev mode
python setup.py develop

Sometimes you might need to use an ADAM development server (e.g. for experimental APIs or developing ADAM client/server). Create a separate ADAM configuration for that workspace.

# Set up a configuration e.g. "experimental_dev"
# The URL points to the ADAM server you specify, plus the path to the API.
# This will also set the default_env property of your configuration to "experimental_dev".
adamctl login experimental_dev https://example-adam-server.com/_ah/api/adam/v1

# Set your workspace ID. Whoever owns the development server should be
# able to create a workspace ID for you.
adamctl config envs.experimental_dev.workspace "YOUR_WORKSPACE_ID"

You probably don't have to do the initial setup.

# In the same conda environment where you've installed ADAM:
cd adam_home
conda install sphinx sphinx_rtd_theme

# Bootstrap sphinx
sphinx-quickstart

#  Edit Makefile and change name of the source directory to doc_source.

#  Edit conf.py
 
# Auto-generate the API docs
sphinx-apidoc -o doc_source adam

# Edit index.rst to include the modules document.

# Remove doc_source/adam.tests*.rst and any references to the adam.tests package.
# This step will go away when tests get moved out of the adam package.

# Build the html documentation
make html

cd adam_home
sphinx-apidoc --separate --force -o doc_source adam
make html
rm -rf docs
mv build/html docs

Eventually this should be part of CI/CD.