Tradespace Analysis Toolkit for Constellations (TAT-C)
Project description
Tradespace Analysis Toolkit for Constellations (TAT-C)
The Tradespace Analysis Toolkit for Constellations (TAT-C) provides low-level data structures and functions for systems engineering analysis and design of Earth-observing space missions suitable for pre-Phase A concept studies.
Documentation: https://tatc.readthedocs.io
Repository: https://github.com/code-lab-org/tatc
Installation
TAT-C uses the pip build system to manage dependencies. Install the tatc library in "editable" mode:
pip install -e .
Note: the following optional dependencies are available with bracket notation:
pip install -e .[dev]
: for development (unit testing, coverage, and linting)pip install -e .[docs]
: for generating documentationpip install -e .[examples]
: for running optional examplespip install -e .[osse]
: for running optional observing system simulation experiment (OSSE) examplespip install -e .[app]
: for running the web applicationpip install -e .[appdev]
: for development (unit testing) of the web application
Multiple optional dependencies can be installed with a comma-separated list (e.g., pip install -e .[dev,examples]
)
Development Tools
Development tools are applicable when working with the source code.
Docker and Docker-Compose
TAT-C includes a Dockerfile (Dockerfile
) that specifies build targets for a base runtime (the TAT-C library), an application server, and a distributed task worker.
To build images, run:
docker build -t tatc .
Unit Tests
Run unit tests with:
python -m unittest
Optionally, run a test coverage report:
coverage run -m unittest
including html output:
coverage html
Documentation
Generate documentation from the docs
directory using the command:
make html
Code Style
This project uses the black code style, applied from the project root:
black .
Contact
Paul T. Grogan paul.grogan@asu.edu
Acknowledgements
This project was supported in part by the National Aeronautics and Space Administration (NASA) Earth Science Division (ESD) Earth Science Technology Office (ESTO) Advanced Information Systems Technology (AIST) program under grant numbers: NNX17AE06G, 80NSSC17K0586, 80NSSC20K1118, 80NSSC21K1515, 80NSSC22K1705 and 80NSSC24K0575 and NASA Jet Propulsion Laboratory contracts: 1074657, 1689594, 1686623, 1705655.
Current Project Team
- PI: Paul T. Grogan paul.grogan@asu.edu
- I. Josue Tapia-Tamayo josue.tapia@asu.edu
- Suvan Kumar skuma208@asu.edu
Project Alumni
- Isaac Feldman
- Hayden Daly
- Lindsay Portelli
- Matthew Sabatini
- Evan Abel
- Sigfried Hache
Project details
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