mirror of
https://github.com/aljazceru/Auto-GPT.git
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127 lines
4.2 KiB
Python
127 lines
4.2 KiB
Python
from unittest import TestCase
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from autogpt.config import Config
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class TestConfig(TestCase):
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"""
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Test cases for the Config class, which handles the configuration settings
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for the AI and ensures it behaves as a singleton.
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"""
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def setUp(self):
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"""
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Set up the test environment by creating an instance of the Config class.
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"""
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self.config = Config()
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def test_singleton(self):
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"""
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Test if the Config class behaves as a singleton by ensuring that two instances are the same.
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"""
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config2 = Config()
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self.assertIs(self.config, config2)
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def test_initial_values(self):
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"""
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Test if the initial values of the Config class attributes are set correctly.
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"""
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self.assertFalse(self.config.debug_mode)
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self.assertFalse(self.config.continuous_mode)
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self.assertFalse(self.config.speak_mode)
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self.assertEqual(self.config.fast_llm_model, "gpt-3.5-turbo")
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self.assertEqual(self.config.smart_llm_model, "gpt-4")
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self.assertEqual(self.config.fast_token_limit, 4000)
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self.assertEqual(self.config.smart_token_limit, 8000)
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def test_set_continuous_mode(self):
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"""
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Test if the set_continuous_mode() method updates the continuous_mode attribute.
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"""
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# Store continuous mode to reset it after the test
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continuous_mode = self.config.continuous_mode
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self.config.set_continuous_mode(True)
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self.assertTrue(self.config.continuous_mode)
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# Reset continuous mode
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self.config.set_continuous_mode(continuous_mode)
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def test_set_speak_mode(self):
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"""
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Test if the set_speak_mode() method updates the speak_mode attribute.
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"""
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# Store speak mode to reset it after the test
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speak_mode = self.config.speak_mode
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self.config.set_speak_mode(True)
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self.assertTrue(self.config.speak_mode)
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# Reset speak mode
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self.config.set_speak_mode(speak_mode)
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def test_set_fast_llm_model(self):
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"""
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Test if the set_fast_llm_model() method updates the fast_llm_model attribute.
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"""
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# Store model name to reset it after the test
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fast_llm_model = self.config.fast_llm_model
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self.config.set_fast_llm_model("gpt-3.5-turbo-test")
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self.assertEqual(self.config.fast_llm_model, "gpt-3.5-turbo-test")
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# Reset model name
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self.config.set_fast_llm_model(fast_llm_model)
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def test_set_smart_llm_model(self):
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"""
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Test if the set_smart_llm_model() method updates the smart_llm_model attribute.
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"""
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# Store model name to reset it after the test
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smart_llm_model = self.config.smart_llm_model
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self.config.set_smart_llm_model("gpt-4-test")
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self.assertEqual(self.config.smart_llm_model, "gpt-4-test")
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# Reset model name
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self.config.set_smart_llm_model(smart_llm_model)
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def test_set_fast_token_limit(self):
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"""
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Test if the set_fast_token_limit() method updates the fast_token_limit attribute.
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"""
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# Store token limit to reset it after the test
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fast_token_limit = self.config.fast_token_limit
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self.config.set_fast_token_limit(5000)
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self.assertEqual(self.config.fast_token_limit, 5000)
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# Reset token limit
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self.config.set_fast_token_limit(fast_token_limit)
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def test_set_smart_token_limit(self):
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"""
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Test if the set_smart_token_limit() method updates the smart_token_limit attribute.
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"""
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# Store token limit to reset it after the test
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smart_token_limit = self.config.smart_token_limit
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self.config.set_smart_token_limit(9000)
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self.assertEqual(self.config.smart_token_limit, 9000)
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# Reset token limit
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self.config.set_smart_token_limit(smart_token_limit)
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def test_set_debug_mode(self):
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"""
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Test if the set_debug_mode() method updates the debug_mode attribute.
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"""
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# Store debug mode to reset it after the test
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debug_mode = self.config.debug_mode
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self.config.set_debug_mode(True)
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self.assertTrue(self.config.debug_mode)
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# Reset debug mode
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self.config.set_debug_mode(debug_mode)
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