A fork of Office AI Image with a custom handler for managing the Jupyter Python Code Interpreter. This project is designed to provide the backend for ACA Sessions Python Code Interpreter.

To get started with this project, you'll need to have Docker installed on your machine. The project is containerized, which means you can easily build and run it in a Docker environment.

Before you begin, ensure you have the following installed:

• Docker: Install Docker

To install and run the project, follow these steps:

1. Clone the repository to your local machine:

   git clone https://github.com/your-username/code-interpreter.git
   cd code-interpreter

2. Build container image

   go run make.go containers:BuildCodeInterpreterImage "python"

3. Run the image:

   go run make.go e2e:RunDockerContainer "6000:6000" "python"

After running these steps, the the interpreter server should be accessible at http://localhost:6000.

1. Execute Code - Pass Conditions:

   curl -v -X 'POST' 'http://localhost:6000/execute'   -H 'Content-Type: application/json' -d '{ "code": "1+1" }'
   
    curl -v -X 'POST' 'http://localhost:6000/execute'   -H 'Content-Type: application/json' -d '{ "code": "import time \ntime.sleep(5) \nprint(\"Done Sleeping\")" }'
   
    curl -v -X 'POST' 'http://localhost:6000/execute'   -H 'Content-Type: application/json' -d '{ "code": "print(\"Hello Earth\")" }'
   
    curl -v -X 'POST' 'http://localhost:6000/execute'   -H 'Content-Type: application/json'   -d '{"code": "import matplotlib.pyplot as plt \nimport numpy as np \nx = np.linspace(-2*np.pi, 2*np.pi, 1000) \ny = np.tan(x) \nplt.plot(x, y) \nplt.ylim(-10, 10) \nplt.title('\''Tangent Curve'\'') \nplt.xlabel('\''x'\'') \nplt.ylabel('\''tan(x)'\'') \nplt.grid(True) \nplt.show()"}'

2. Execute Code - Pass Conditions:

    curl -v -X 'POST' 'http://localhost:6000/execute'   -H 'Content-Type: application/json' -d '{ "code": "printf(\"Hello Earth\")" }'

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.