mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-08 15:48:29 +00:00
working on tests. WIP
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@@ -702,7 +702,6 @@ def test_set_agents_step_callback():
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execute.return_value = "ok"
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crew.kickoff()
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assert researcher_agent.step_callback is not None
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assert False
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def test_dont_set_agents_step_callback_if_already_set():
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@@ -1037,7 +1036,7 @@ def test_crew_does_not_interpolate_without_inputs():
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def test_task_callback_on_crew():
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from unittest.mock import patch
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from unittest.mock import MagicMock, patch
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researcher_agent = Agent(
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role="Researcher",
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@@ -1053,17 +1052,23 @@ def test_task_callback_on_crew():
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async_execution=True,
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)
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mock_callback = MagicMock()
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crew = Crew(
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agents=[researcher_agent],
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process=Process.sequential,
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tasks=[list_ideas],
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task_callback=lambda: None,
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task_callback=mock_callback,
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)
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with patch.object(Agent, "execute_task") as execute:
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execute.return_value = "ok"
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crew.kickoff()
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assert list_ideas.callback is not None
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mock_callback.assert_called_once()
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args, _ = mock_callback.call_args
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assert isinstance(args[0], TaskOutput)
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@pytest.mark.vcr(filter_headers=["authorization"])
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@@ -1333,3 +1338,6 @@ def test_crew_train_error():
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assert "train() missing 1 required positional argument: 'n_iterations'" in str(
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e
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)
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# TODO: Test delegation in heirarchical process
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@@ -1,7 +1,6 @@
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"""Test Agent creation and execution basic functionality."""
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import json
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from unittest.mock import MagicMock, patch
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import pytest
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@@ -81,7 +80,7 @@ def test_task_prompt_includes_expected_output():
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with patch.object(Agent, "execute_task") as execute:
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execute.return_value = "ok"
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task.execute()
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task.execute_sync()
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execute.assert_called_once_with(task=task, context=None, tools=[])
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@@ -104,7 +103,7 @@ def test_task_callback():
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with patch.object(Agent, "execute_task") as execute:
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execute.return_value = "ok"
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task.execute()
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task.execute_sync()
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task_completed.assert_called_once_with(task.output)
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@@ -127,7 +126,7 @@ def test_task_callback_returns_task_ouput():
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with patch.object(Agent, "execute_task") as execute:
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execute.return_value = "exported_ok"
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task.execute()
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task.execute_sync()
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# Ensure the callback is called with a TaskOutput object serialized to JSON
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task_completed.assert_called_once()
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callback_data = task_completed.call_args[0][0]
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@@ -162,7 +161,7 @@ def test_execute_with_agent():
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)
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with patch.object(Agent, "execute_task", return_value="ok") as execute:
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task.execute(agent=researcher)
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task.execute_sync(agent=researcher)
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execute.assert_called_once_with(task=task, context=None, tools=[])
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@@ -182,7 +181,7 @@ def test_async_execution():
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)
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with patch.object(Agent, "execute_task", return_value="ok") as execute:
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task.execute(agent=researcher)
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task.execute_async(agent=researcher)
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execute.assert_called_once_with(task=task, context=None, tools=[])
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@@ -526,3 +525,14 @@ def test_interpolate_inputs():
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== "Give me a list of 5 interesting ideas about ML to explore for an article, what makes them unique and interesting."
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)
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assert task.expected_output == "Bullet point list of 5 interesting ideas about ML."
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"""
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TODO: TEST SYNC
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- Verify return type
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"""
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"""
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TODO: TEST ASYNC
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- Verify return type
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"""
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