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AI for (programming) EDucation

License: Other

TypeScript 83.08% Python 16.92%

ai.ed's Introduction

AI.Ed

NOTE: This project is now archived and no longer under development.

This is the AI for (programming) EDucation project. The goal is to provide a great set of tools to provide AI-powered assistance to students taking programming classes and educators teaching them. Installation instructions are in BUILD.md.

This project is open source and freely available for educational purposes. All of the source code in this repository is available under the MIT license.

Please note: this project depends on the Microsoft PROSE SDK, which is a separate, closed-source binary licensed under separate, proprietary terms. When the Microsoft PROSE SDK is included in the project at build time, the terms of the Microsoft PROSE SDK may limit what you can do with your build of this project (e.g., non-commercial use only). See the LICENSE file for more information.

Contributing

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.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

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ai.ed's Issues

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Create a test suite

Move examples to samples directory.

Make a new directory called ai-compile/samples. Move samples like ExampleScript1.py (currently in Symbolic) to there. We can add more samples to this directory in the future.

Update JSON Schema

I'd like to change the JSON schema so that it does not directly return an array. While an array is technically valid JSON, it causes a number of issues. As a first pass, let's change this to:

[
   {
      "lineNo":1,
      "repairLine":"print ( \"You chose \" , number )",
      "repair_classes":[
         "+ COMMA"
      ],
      "feedbacks":[
         "Seems like there was some error on this line. You seem to be missing some token(s). Try adding - COMMA (',')."
      ]
   }
]

to have an outer element:

{
   "repairs": [ { "lineNo": 1 } ]
}

At the same time, rename feedbacks to feedback and repair_classes to repairClasses.

Move PyMacer out of this repo

Perhaps it can go here: in a new branch.

Add two tests for Flask.

Add two tests for flask. The first test is test_syntaxerror_request that shows what MACER would return on a program with an syntax error. The second test is test_noerror_request, that shows what MACER would return with no errors.

You can use:

pytest --disable-pytest-warnings .\test_server.py

to run the tests. The --disable-pytest-warnings is there to suppress TensorFlow deprecation warnings.

The branch name is tbarik/unittest.

Add Flask.

In the branch tbarik/flask, I've added a simple server.py that runs a Flask server on port 5000. We should modify this to add another app route that calls the PyMacer functionality directly. We should be able to then test this route as an HTTP request using a tool like Insomnia.

This can be done with base Flask, without needing flask-restful.

From looking at Brain.py, this looks like mostly calling repairProgram at the REST endpoint.

Make initial commits

Commit existing code to the repo.

Add prettier as devDependency.

Use this to format the vscode-extension code.

Remove namespace warnings.

WebServer\WebServer\Models\StateObject.cs(5,7): warning CS0105: 
The using directive for 'System' appeared previously in this namespace [c:\repos\ai.ed\ai-compile\WebServer\WebServer\WebServer.csproj]

antlr4-python3-runtime==4.9.2
clang==6.0.0.2
pandas==0.24.2
scikit-learn==0.21.1
keras==2.2.4
prettytable==0.7.2
edlib==1.2.4
tensorflow==1.14
numpy==1.16.2