├── .gitignore ├── README.md ├── commandgpt ├── __init__.py └── llm.py ├── header.png ├── poetry.lock ├── pyproject.toml └── tests ├── __init__.py └── test_main.py /.gitignore: -------------------------------------------------------------------------------- 1 | __pycache__ 2 | key -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ![commandgpt](header.png) 2 | 3 | A command-line utility tool which allows you to use OpenAI to help you generate bash commands. 4 | 5 | You need an OPENAI_API_KEY env variable set with your OpenAI API key. 6 | 7 | ## Options 8 | `-q` Will allow you to receive commands that match your natural language query 9 | 10 | `-r` Will run commands that match your natural language query 11 | 12 | ## Examples 13 | 14 | `commandgpt -q "List all files"` will return the answer: 15 | `ls` 16 | 17 | `commandgpt -r "List all files"` will run ls, displaying all files on the current directory on your filesystem -------------------------------------------------------------------------------- /commandgpt/__init__.py: -------------------------------------------------------------------------------- 1 | from langchain.llms import OpenAI 2 | from langchain.chains import LLMChain 3 | from langchain.prompts import PromptTemplate 4 | import argparse 5 | import subprocess 6 | import sys 7 | 8 | def get_input(text): 9 | return input(text) 10 | 11 | def parse_arguments(args): 12 | parser = argparse.ArgumentParser() 13 | parser.add_argument("-q", "--question", help="Command to look for") 14 | parser.add_argument("-r", "--run", help="Run the previously found command", action='store_true') 15 | return parser.parse_args(args) 16 | 17 | def getPromptedLLMChain(): 18 | llm = OpenAI(temperature=.7) 19 | template = """You will return a bash command which meets the criteria set out in the question. 20 | You will return only the command and no other text. 21 | Question: {text} 22 | Answer: 23 | """ 24 | prompt_template = PromptTemplate(input_variables=["text"], template=template) 25 | return LLMChain(llm, prompt_template) 26 | 27 | def main(args): 28 | answer = '' 29 | if args.question: 30 | chain = getPromptedLLMChain() 31 | answer = chain.run(args.question) 32 | if not args.run: 33 | print(answer) 34 | if args.run: 35 | isSure = get_input('Are you sure you want to run the following command? (y/n)\n' + answer + '\n').lower().strip() == 'y' 36 | if isSure: 37 | return_code = subprocess.call(answer, shell=True) 38 | 39 | def runApplication(): 40 | args = parse_arguments(sys.argv[1:]) 41 | main(args) 42 | -------------------------------------------------------------------------------- /commandgpt/llm.py: -------------------------------------------------------------------------------- 1 | from langchain.llms import OpenAI 2 | from langchain.chains import LLMChain 3 | from langchain.prompts import PromptTemplate 4 | 5 | def getPromptedLLMChain(): 6 | llm = OpenAI(temperature=.7) 7 | template = """You will return a bash command which meets the criteria set out in the question. 8 | You will return only the command and no other text. 9 | Question: {text} 10 | Answer: 11 | """ 12 | prompt_template = PromptTemplate(input_variables=["text"], template=template) 13 | return LLMChain(llm, prompt_template) -------------------------------------------------------------------------------- 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[tool.poetry.dev-dependencies] 14 | pytest = "^7.4.0" 15 | 16 | [build-system] 17 | requires = ["poetry-core"] 18 | build-backend = "poetry.core.masonry.api" 19 | 20 | [tool.poetry.scripts] 21 | main = "commandgpt:runApplication" 22 | -------------------------------------------------------------------------------- /tests/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/tommyclark/commandgpt/550f8b3f392d7d0bbbbb1c8584f590b49b553173/tests/__init__.py -------------------------------------------------------------------------------- /tests/test_main.py: -------------------------------------------------------------------------------- 1 | import unittest 2 | from unittest.mock import patch 3 | from langchain.llms.fake import FakeListLLM 4 | from langchain.agents import load_tools 5 | from langchain.agents import initialize_agent 6 | from langchain.agents import AgentType 7 | 8 | from commandgpt import main, parse_arguments 9 | 10 | class TestMain(unittest.TestCase): 11 | 12 | def setUp(self): 13 | responses = ["Action: Python REPL\nAction Input: How to list all files in a directory?", 14 | "Final Answer: "] 15 | llm = FakeListLLM(responses=responses) 16 | self.agent = initialize_agent(load_tools(["python_repl"]), llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True) 17 | 18 | @patch('commandgpt.getPromptedLLMChain') 19 | @patch('subprocess.call') 20 | def test_question_only(self, mock_call, mock_llm): 21 | mock_llm.return_value = self.agent 22 | question = "How to list all files in a directory?" 23 | args = ['-q', question] 24 | parsed_args = parse_arguments(args) 25 | 26 | with patch('builtins.print') as mock_print: 27 | main(parsed_args) 28 | 29 | mock_print.assert_called_with("") 30 | mock_call.assert_not_called() 31 | 32 | @patch('commandgpt.getPromptedLLMChain') 33 | @patch('commandgpt.get_input', return_value='y') 34 | @patch('subprocess.call') 35 | def test_question_with_run_flag(self, mock_call, mock_input, mock_llm): 36 | mock_llm.return_value = self.agent 37 | question = "How to list all files in a directory?" 38 | args = ['-q', question, '-r'] 39 | parsed_args = parse_arguments(args) 40 | 41 | main(parsed_args) 42 | mock_call.assert_called_with("", shell=True) 43 | 44 | @patch('commandgpt.getPromptedLLMChain') 45 | @patch('commandgpt.get_input', return_value='n') 46 | @patch('subprocess.call') 47 | def test_question_with_run_flag_user_cancels(self, mock_call, mock_input, mock_llm): 48 | mock_llm.return_value = self.agent 49 | question = "How to list all files in a directory?" 50 | args = ['-q', question, '-r'] 51 | parsed_args = parse_arguments(args) 52 | 53 | main(parsed_args) 54 | mock_call.assert_not_called() 55 | 56 | if __name__ == '__main__': 57 | unittest.main() 58 | 59 | --------------------------------------------------------------------------------