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| from unittest import TestCase | |
| from autogpt.promptgenerator import PromptGenerator | |
| class TestPromptGenerator(TestCase): | |
| """ | |
| Test cases for the PromptGenerator class, which is responsible for generating | |
| prompts for the AI with constraints, commands, resources, and performance evaluations. | |
| """ | |
| def setUpClass(cls): | |
| """ | |
| Set up the initial state for each test method by creating an instance of PromptGenerator. | |
| """ | |
| cls.generator = PromptGenerator() | |
| # Test whether the add_constraint() method adds a constraint to the generator's constraints list | |
| def test_add_constraint(self): | |
| """ | |
| Test if the add_constraint() method adds a constraint to the generator's constraints list. | |
| """ | |
| constraint = "Constraint1" | |
| self.generator.add_constraint(constraint) | |
| self.assertIn(constraint, self.generator.constraints) | |
| # Test whether the add_command() method adds a command to the generator's commands list | |
| def test_add_command(self): | |
| """ | |
| Test if the add_command() method adds a command to the generator's commands list. | |
| """ | |
| command_label = "Command Label" | |
| command_name = "command_name" | |
| args = {"arg1": "value1", "arg2": "value2"} | |
| self.generator.add_command(command_label, command_name, args) | |
| command = { | |
| "label": command_label, | |
| "name": command_name, | |
| "args": args, | |
| } | |
| self.assertIn(command, self.generator.commands) | |
| def test_add_resource(self): | |
| """ | |
| Test if the add_resource() method adds a resource to the generator's resources list. | |
| """ | |
| resource = "Resource1" | |
| self.generator.add_resource(resource) | |
| self.assertIn(resource, self.generator.resources) | |
| def test_add_performance_evaluation(self): | |
| """ | |
| Test if the add_performance_evaluation() method adds an evaluation to the generator's | |
| performance_evaluation list. | |
| """ | |
| evaluation = "Evaluation1" | |
| self.generator.add_performance_evaluation(evaluation) | |
| self.assertIn(evaluation, self.generator.performance_evaluation) | |
| def test_generate_prompt_string(self): | |
| """ | |
| Test if the generate_prompt_string() method generates a prompt string with all the added | |
| constraints, commands, resources, and evaluations. | |
| """ | |
| # Define the test data | |
| constraints = ["Constraint1", "Constraint2"] | |
| commands = [ | |
| { | |
| "label": "Command1", | |
| "name": "command_name1", | |
| "args": {"arg1": "value1"}, | |
| }, | |
| { | |
| "label": "Command2", | |
| "name": "command_name2", | |
| "args": {}, | |
| }, | |
| ] | |
| resources = ["Resource1", "Resource2"] | |
| evaluations = ["Evaluation1", "Evaluation2"] | |
| # Add test data to the generator | |
| for constraint in constraints: | |
| self.generator.add_constraint(constraint) | |
| for command in commands: | |
| self.generator.add_command( | |
| command["label"], command["name"], command["args"] | |
| ) | |
| for resource in resources: | |
| self.generator.add_resource(resource) | |
| for evaluation in evaluations: | |
| self.generator.add_performance_evaluation(evaluation) | |
| # Generate the prompt string and verify its correctness | |
| prompt_string = self.generator.generate_prompt_string() | |
| self.assertIsNotNone(prompt_string) | |
| # Check if all constraints, commands, resources, and evaluations are present in the prompt string | |
| for constraint in constraints: | |
| self.assertIn(constraint, prompt_string) | |
| for command in commands: | |
| self.assertIn(command["name"], prompt_string) | |
| for key, value in command["args"].items(): | |
| self.assertIn(f'"{key}": "{value}"', prompt_string) | |
| for resource in resources: | |
| self.assertIn(resource, prompt_string) | |
| for evaluation in evaluations: | |
| self.assertIn(evaluation, prompt_string) | |
| self.assertIn("constraints", prompt_string.lower()) | |
| self.assertIn("commands", prompt_string.lower()) | |
| self.assertIn("resources", prompt_string.lower()) | |
| self.assertIn("performance evaluation", prompt_string.lower()) | |