A utility to assist in building Test-Driven Python code using Langchain and OpenAI.
Project description
ChatTDD
ChatTDD is a utility designed to help developers create Test-Driven Python code using Langchain and OpenAI. By entering a description of the functionality you need, ChatTDD will generate code for that function based on a test.
Installation
To install ChatTDD, ensure you have Python 3.9 installed, then run the following command:
pip install ChatTDD
Configuration
Before using ChatTDD, you'll need to have an OpenAI API key. If you don't have one, you can obtain it from OpenAI. Remember, using your api key with ChatTDD or any other client will come with a cost to you - so be warned and run at your own risk.
Update your environment with your api key:
export OPENAI_API_KEY='[your key here]'
If a key isn't present in the environment then ChatTDD will prompt you to enter it.
Usage
Once installed, you can use the chattdd command to interact with the tool. Here's how to use ChatTDD:
Select a Model
You can choose between three models: text-davinci-003, gpt-3.5-turbo, and gpt-4. To select a model, use the following command:
chattdd model text-davinci-003
Your model selection will be remembered for future sessions.
Output Folder
chattdd outputfolder [folder_path]
Sets the root folder for generated files. If this is left blank, files will be saved in the specified relative paths without a leading folder.
Generate Test code & feature functions
Simply run
chattdd
ChatTDD will ask for your requirement. Alternative:
chattdd test-and-code "sort a list of objects alphabetically"
ChatTDD will create the necessary Python files under the default directory or the directory you have setup with the 'outputfolder' command.
Generate Only Test Code
chattdd test "sort a list of objects alphabetically"
ChatTDD will create the necessary Python files under the tests
directory.
Contributing
If you'd like to contribute to the development of ChatTDD, please feel free to fork the repository and submit a pull request.
License
ChatTDD is licensed under the MIT License. See the LICENSE
file for more details.
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