SEED is a Python 3 program that analyzes and visualizes a data set for the SEED Project created by Gregory M. Kapfhammer. With required tokens, it can be used to download the responses of the interviewees who participated in the SEED project. Additionally, you can use SEED to see the interviewees' responses and to perform natural language processing to extract the key topic models. This program is currently under heavy development; more extensive documentation is forthcoming.

As a Python 3 program, SEED relies on pip for installation. To ensure that all of the dependencies are installed correctly, please type the following commands before running SEED.

• pip install --upgrade pip
• pip install -r requirements.txt

Note that you may have Python 3 setup in different ways on your computer. For instance, you may prefer to install SEED's dependencies in a site-wide location and then you would have to type, for instance, sudo pip install -r requirements.txt. Alternatively, you may choose to install the dependencies by typing pip install --user -r requirements.txt.

SEED was developed to easily run in conjunction with a venv-based Python 3 virtual environment. This means that if you are in the directory that contains the seed directory then you could type python3 -m venv seed to create all of the components of a venv-based virtual environment in the seed directory. Once you complete this step, you can type the command source seed/bin/activate to activate the venv-based virtual environment. Interested in learning more about the basics of virtual environments in Python 3? You can read this article to further develop your understanding of this topic.

SEED uses Pytest for testing. To run SEED's test suite, please type pytest tests in the root of the project's repository. If any of the test cases fail in your development environment, please please raise an issue in SEED's issue tracker.

Please note that some of SEED's test cases require you to have a private access token stored in the SEED_SIMPLEFORM_TOKEN environment variable. By necessity, this token is kept private and only known to the developer of this program. As such, these test cases will be skipped when you run the aforementioned command.

Moreover, SEED contains some test cases that normally take a longer time to run because of the fact that they invoke functions that use natural language processing libraries. If you would also like to run those tests along with those that complete more quickly, then you can type pytest tests --runslow.

Before using this Python 3 program, please make sure that you follow the instructions to install it and check its correctness by running its test suite. If you would like to learn more about how to use SEED, please type python3 seed.py --help and review the command-line options. If you would, for instance, like to see who has responded to the SEED survey by processing the provided seed.json file you can type python3 seed.py --show-respondents.

If you have any problems with installing or using SEED, then please create an issue associated with this Git repository using the "Issues" link at the top of this site. I will do everything that I can to resolve your issue and ensure that the entire tool works well in your own development environment.