mirror of
https://github.com/OMGeeky/gpt-pilot.git
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126 lines
5.6 KiB
Python
126 lines
5.6 KiB
Python
import builtins
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import os
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import pytest
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from unittest.mock import patch
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from helpers.AgentConvo import AgentConvo
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from dotenv import load_dotenv
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load_dotenv()
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from main import get_custom_print
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from .Developer import Developer, ENVIRONMENT_SETUP_STEP
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from helpers.Project import Project
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from test.mock_questionary import MockQuestionary
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class TestDeveloper:
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def setup_method(self):
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builtins.print, ipc_client_instance = get_custom_print({})
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name = 'TestDeveloper'
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self.project = Project({
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'app_id': 'test-developer',
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'name': name,
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'app_type': ''
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},
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name=name,
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architecture=[],
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user_stories=[]
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)
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self.project.root_path = os.path.abspath(os.path.join(os.path.dirname(os.path.abspath(__file__)),
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'../../../workspace/TestDeveloper'))
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self.project.technologies = []
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self.project.current_step = ENVIRONMENT_SETUP_STEP
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self.developer = Developer(self.project)
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@pytest.mark.uses_tokens
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@patch('helpers.AgentConvo.get_saved_development_step')
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@patch('helpers.AgentConvo.save_development_step')
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@patch('helpers.AgentConvo.create_gpt_chat_completion',
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return_value={'text': '{"command": "python --version", "timeout": 10}'})
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@patch('helpers.cli.styled_text', return_value='no')
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@patch('helpers.cli.execute_command', return_value=('', 'DONE'))
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def test_install_technology(self, mock_execute_command, mock_styled_text,
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mock_completion, mock_save, mock_get_saved_step):
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# Given
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self.developer.convo_os_specific_tech = AgentConvo(self.developer)
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# When
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llm_response = self.developer.install_technology('python')
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# Then
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assert llm_response == 'DONE'
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mock_execute_command.assert_called_once_with(self.project, 'python --version', 10)
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@patch('helpers.AgentConvo.get_saved_development_step')
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@patch('helpers.AgentConvo.save_development_step')
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# GET_TEST_TYPE has optional properties, so we need to be able to handle missing args.
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@patch('helpers.AgentConvo.create_gpt_chat_completion',
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return_value={'text': '{"type": "command_test", "command": {"command": "npm run test", "timeout": 3000}}'})
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# 2nd arg of return_value: `None` to debug, 'DONE' if successful
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@patch('helpers.cli.execute_command', return_value=('stdout:\n```\n\n```', 'DONE'))
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# @patch('helpers.cli.ask_user', return_value='yes')
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# @patch('helpers.cli.get_saved_command_run')
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def test_code_changes_command_test(self, mock_get_saved_step, mock_save, mock_chat_completion,
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# Note: the 2nd line below will use the LLM to debug, uncomment the @patches accordingly
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mock_execute_command):
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# mock_ask_user, mock_get_saved_command_run):
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# Given
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monkey = None
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convo = AgentConvo(self.developer)
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convo.save_branch = lambda branch_name=None: branch_name
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# When
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# "Now, we need to verify if this change was successfully implemented...
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result = self.developer.test_code_changes(monkey, convo)
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# Then
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assert result == {'success': True, 'cli_response': 'stdout:\n```\n\n```'}
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@patch('helpers.AgentConvo.get_saved_development_step')
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@patch('helpers.AgentConvo.save_development_step')
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# GET_TEST_TYPE has optional properties, so we need to be able to handle missing args.
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@patch('helpers.AgentConvo.create_gpt_chat_completion',
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return_value={'text': '{"type": "manual_test", "manual_test_description": "Does it look good?"}'})
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@patch('helpers.Project.ask_user', return_value='continue')
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def test_code_changes_manual_test_continue(self, mock_get_saved_step, mock_save, mock_chat_completion, mock_ask_user):
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# Given
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monkey = None
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convo = AgentConvo(self.developer)
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convo.save_branch = lambda branch_name=None: branch_name
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# When
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result = self.developer.test_code_changes(monkey, convo)
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# Then
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assert result == {'success': True, 'user_input': 'continue'}
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@patch('helpers.AgentConvo.get_saved_development_step')
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@patch('helpers.AgentConvo.save_development_step')
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@patch('helpers.AgentConvo.create_gpt_chat_completion')
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@patch('utils.questionary.get_saved_user_input')
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# https://github.com/Pythagora-io/gpt-pilot/issues/35
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def test_code_changes_manual_test_no(self, mock_get_saved_user_input, mock_chat_completion, mock_save, mock_get_saved_step):
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# Given
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monkey = None
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convo = AgentConvo(self.developer)
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convo.save_branch = lambda branch_name=None: branch_name
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convo.load_branch = lambda function_uuid=None: function_uuid
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self.project.developer = self.developer
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mock_chat_completion.side_effect = [
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{'text': '{"type": "manual_test", "manual_test_description": "Does it look good?"}'},
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{'text': '{"steps": [{"type": "command", "command": {"command": "something scary", "timeout": 3000}, "check_if_fixed": true}]}'},
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{'text': 'do something else scary'},
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]
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mock_questionary = MockQuestionary(['no', 'no'])
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with patch('utils.questionary.questionary', mock_questionary):
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# When
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result = self.developer.test_code_changes(monkey, convo)
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# Then
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assert result == {'success': True, 'user_input': 'continue'}
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