How to Get Started with SAPAI: A Guide for AI Enthusiasts

November 12, 2020

SAPAI is an innovative Super Auto Pets engine designed utilizing reinforcement learning and other AI models. If you’re eager to dive into creating and managing your own digital pets with SAPAI, this guide will walk you through the installation and initial setup, alongside practical code examples.

Installation Process

Before you embark on your journey with SAPAI, ensure you have the proper environment set up.

Start by downloading the Anaconda distribution of Python. You can grab it for free here.
Next, download SAPAI from its GitHub repository:
- You can download a zip file using the green “Download Code” button.
- Alternatively, use this command to clone the repository directly from the command line:
After navigating to the SAPAI directory, complete the installation by running:

python setup.py install

Running Unit Tests

It’s essential to ensure everything runs smoothly. You can run unit tests located in the tests directory with the following command:

python -m unittest discover -s tests

Creating Your First Pet

Now that you’ve installed SAPAI, let’s create a pet using Python. This analogy might help: think of your pet as a character in a video game. Each pet has its level, attack, and health, similar to how characters in games have attributes.

To create a pet, open your Python shell in your command-line interface (Terminal or Powershell) and run the following:

from sapai.pets import Pet
pet = Pet('ant')
print(pet)

This will create an ant pet, and you’ll see its stats printed:

Output:

pet-ant 2-1 none 1-0

You can enhance its attack and gain experience using:

pet._attack += 3
pet.gain_experience()
print(pet)

The updated output alters the pet’s attack and experience to reflect its progress:

pet-ant 5-1 none 1-1

Creating a Team

Now it’s time to build a team. Think of this like assembling your roster in a sports game, where teamwork is pivotal for success. Here’s how to form your team:

from sapai.teams import Team
team0 = Team(['ant', 'ox', 'tiger'])
team1 = Team(['sheep', 'tiger'])
print(team0)

The printed output will show the team’s composition:

0: Slot pet-ant 2-1 none 1-0

Engaging in Battles

After creating teams, you can pit them against each other, similar to a team competition. Here’s how to initiate a battle:

from sapai.battle import Battle
battle = Battle(team0, team1)
winner = battle.battle()
print(winner)

This will give you an output indicating the battle result where:

0 = Team0 Wins
1 = Team1 Wins
2 = Draw

Troubleshooting

If you face any issues while running SAPAI, consider the following troubleshooting steps:

Ensure that all dependencies are properly installed and updated.
If encountering errors during pet creation, verify the names and types of pets being initialized.
Check that the command-line interface is correctly configured to access the Python environment.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.