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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.
"""
@classmethod
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())
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