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141 lines
4.0 KiB
141 lines
4.0 KiB
import os
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from dotenv import load_dotenv
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from unittest.mock import patch
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from swarms.models import OpenAIChat
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from swarms.structs import Agent
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from swarms.structs.autoscaler import AutoScaler
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load_dotenv()
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api_key = os.environ.get("OPENAI_API_KEY")
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llm = OpenAIChat(
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temperature=0.5,
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openai_api_key=api_key,
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)
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agent = Agent(llm=llm, max_loops=1)
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def test_autoscaler_init():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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assert autoscaler.initial_agents == 5
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assert autoscaler.scale_up_factor == 1
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assert autoscaler.idle_threshold == 0.2
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assert autoscaler.busy_threshold == 0.7
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assert autoscaler.autoscale == True
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assert autoscaler.min_agents == 1
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assert autoscaler.max_agents == 5
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assert autoscaler.custom_scale_strategy == None
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assert len(autoscaler.agents_pool) == 5
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assert autoscaler.task_queue.empty() == True
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def test_autoscaler_add_task():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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autoscaler.add_task("task1")
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assert autoscaler.task_queue.empty() == False
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def test_autoscaler_run():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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out = autoscaler.run(
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agent.id,
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"Generate a 10,000 word blog on health and wellness.",
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)
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assert (
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out == "Generate a 10,000 word blog on health and wellness."
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)
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def test_autoscaler_add_agent():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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autoscaler.add_agent(agent)
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assert len(autoscaler.agents_pool) == 6
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def test_autoscaler_remove_agent():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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autoscaler.remove_agent(agent)
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assert len(autoscaler.agents_pool) == 4
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def test_autoscaler_get_agent():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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agent = autoscaler.get_agent()
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assert isinstance(agent, Agent)
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def test_autoscaler_get_agent_by_id():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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agent = autoscaler.get_agent_by_id(agent.id)
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assert isinstance(agent, Agent)
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def test_autoscaler_get_agent_by_id_not_found():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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agent = autoscaler.get_agent_by_id("fake_id")
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assert agent == None
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@patch("swarms.swarms.Agent.is_healthy")
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def test_autoscaler_check_agent_health(mock_is_healthy):
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mock_is_healthy.side_effect = [False, True, True, True, True]
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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autoscaler.check_agent_health()
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assert mock_is_healthy.call_count == 5
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def test_autoscaler_balance_load():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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autoscaler.add_task("task1")
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autoscaler.add_task("task2")
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autoscaler.balance_load()
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assert autoscaler.task_queue.empty()
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def test_autoscaler_set_scaling_strategy():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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def strategy(x, y):
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return x - y
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autoscaler.set_scaling_strategy(strategy)
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assert autoscaler.custom_scale_strategy == strategy
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def test_autoscaler_execute_scaling_strategy():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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def strategy(x, y):
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return x - y
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autoscaler.set_scaling_strategy(strategy)
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autoscaler.add_task("task1")
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autoscaler.execute_scaling_strategy()
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assert len(autoscaler.agents_pool) == 4
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def test_autoscaler_report_agent_metrics():
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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metrics = autoscaler.report_agent_metrics()
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assert set(metrics.keys()) == {
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"completion_time",
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"success_rate",
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"error_rate",
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}
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@patch("swarms.swarms.AutoScaler.report_agent_metrics")
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def test_autoscaler_report(mock_report_agent_metrics):
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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autoscaler.report()
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mock_report_agent_metrics.assert_called_once()
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@patch("builtins.print")
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def test_autoscaler_print_dashboard(mock_print):
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autoscaler = AutoScaler(initial_agents=5, agent=agent)
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autoscaler.print_dashboard()
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mock_print.assert_called()
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