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https://github.com/crewAIInc/crewAI.git
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feat: add tests
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@@ -1,6 +1,7 @@
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from unittest.mock import patch
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import pytest
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from langchain_openai import ChatOpenAI
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from crewai.agent import Agent
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from crewai.task import Task
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@@ -30,6 +31,18 @@ class TestCrewPlanner:
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]
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return CrewPlanner(tasks, None)
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@pytest.fixture
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def crew_planner_different_llm(self):
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tasks = [
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Task(
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description="Task 1",
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expected_output="Output 1",
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agent=Agent(role="Agent 1", goal="Goal 1", backstory="Backstory 1"),
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)
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]
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planning_agent_llm = ChatOpenAI(model="gpt-3.5-turbo")
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return CrewPlanner(tasks, planning_agent_llm)
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def test_handle_crew_planning(self, crew_planner):
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with patch.object(Task, "execute_sync") as execute:
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execute.return_value = TaskOutput(
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@@ -40,7 +53,7 @@ class TestCrewPlanner:
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),
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)
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result = crew_planner._handle_crew_planning()
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assert crew_planner.planning_agent_llm.model_name == "gpt-4o-mini"
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assert isinstance(result, PlannerTaskPydanticOutput)
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assert len(result.list_of_plans_per_task) == len(crew_planner.tasks)
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execute.assert_called_once()
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@@ -72,3 +85,22 @@ class TestCrewPlanner:
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assert isinstance(tasks_summary, str)
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assert tasks_summary.startswith("\n Task Number 1 - Task 1")
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assert tasks_summary.endswith('"agent_tools": []\n ')
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def test_handle_crew_planning_different_llm(self, crew_planner_different_llm):
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with patch.object(Task, "execute_sync") as execute:
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execute.return_value = TaskOutput(
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description="Description",
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agent="agent",
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pydantic=PlannerTaskPydanticOutput(list_of_plans_per_task=["Plan 1"]),
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)
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result = crew_planner_different_llm._handle_crew_planning()
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assert (
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crew_planner_different_llm.planning_agent_llm.model_name
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== "gpt-3.5-turbo"
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)
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assert isinstance(result, PlannerTaskPydanticOutput)
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assert len(result.list_of_plans_per_task) == len(
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crew_planner_different_llm.tasks
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)
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execute.assert_called_once()
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