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https://github.com/crewAIInc/crewAI.git
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Merge branch 'main' into devin/1743067554-fix-issue-2487
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@@ -11,7 +11,9 @@ import pydantic_core
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import pytest
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from crewai.agent import Agent
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from crewai.agents import CacheHandler
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from crewai.agents.cache import CacheHandler
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from crewai.agents.crew_agent_executor import CrewAgentExecutor
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from crewai.crew import Crew
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from crewai.crews.crew_output import CrewOutput
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from crewai.knowledge.source.string_knowledge_source import StringKnowledgeSource
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@@ -4137,3 +4139,52 @@ def test_crew_with_knowledge_sources_works_with_copy():
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assert len(crew_copy.tasks) == len(crew.tasks)
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assert len(crew_copy.tasks) == len(crew.tasks)
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def test_crew_kickoff_for_each_works_with_manager_agent_copy():
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researcher = Agent(
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role="Researcher",
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goal="Conduct thorough research and analysis on AI and AI agents",
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backstory="You're an expert researcher, specialized in technology, software engineering, AI, and startups. You work as a freelancer and are currently researching for a new client.",
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allow_delegation=False
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)
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writer = Agent(
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role="Senior Writer",
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goal="Create compelling content about AI and AI agents",
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backstory="You're a senior writer, specialized in technology, software engineering, AI, and startups. You work as a freelancer and are currently writing content for a new client.",
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allow_delegation=False
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)
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# Define task
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task = Task(
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description="Generate a list of 5 interesting ideas for an article, then write one captivating paragraph for each idea that showcases the potential of a full article on this topic. Return the list of ideas with their paragraphs and your notes.",
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expected_output="5 bullet points, each with a paragraph and accompanying notes.",
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)
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# Define manager agent
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manager = Agent(
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role="Project Manager",
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goal="Efficiently manage the crew and ensure high-quality task completion",
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backstory="You're an experienced project manager, skilled in overseeing complex projects and guiding teams to success. Your role is to coordinate the efforts of the crew members, ensuring that each task is completed on time and to the highest standard.",
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allow_delegation=True
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)
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# Instantiate crew with a custom manager
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crew = Crew(
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agents=[researcher, writer],
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tasks=[task],
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manager_agent=manager,
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process=Process.hierarchical,
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verbose=True
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)
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crew_copy = crew.copy()
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assert crew_copy.manager_agent is not None
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assert crew_copy.manager_agent.id != crew.manager_agent.id
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assert crew_copy.manager_agent.role == crew.manager_agent.role
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assert crew_copy.manager_agent.goal == crew.manager_agent.goal
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assert crew_copy.manager_agent.backstory == crew.manager_agent.backstory
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assert isinstance(crew_copy.manager_agent.agent_executor, CrewAgentExecutor)
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assert isinstance(crew_copy.manager_agent.cache_handler, CacheHandler)
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@@ -1,10 +1,10 @@
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from unittest.mock import Mock
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from crewai.utilities.events.base_events import CrewEvent
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from crewai.utilities.events.base_events import BaseEvent
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from crewai.utilities.events.crewai_event_bus import crewai_event_bus
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class TestEvent(CrewEvent):
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class TestEvent(BaseEvent):
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pass
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@@ -24,7 +24,7 @@ def test_specific_event_handler():
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def test_wildcard_event_handler():
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mock_handler = Mock()
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@crewai_event_bus.on(CrewEvent)
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@crewai_event_bus.on(BaseEvent)
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def handler(source, event):
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mock_handler(source, event)
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@@ -5,8 +5,7 @@ from unittest.mock import Mock
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import pytest
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from pydantic import BaseModel
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from crewai.flow import Flow
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from crewai.flow.state_utils import export_state, to_serializable, to_string
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from crewai.utilities.serialization import to_serializable, to_string
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class Address(BaseModel):
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@@ -23,16 +22,6 @@ class Person(BaseModel):
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skills: List[str]
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@pytest.fixture
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def mock_flow():
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def create_flow(state):
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flow = Mock(spec=Flow)
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flow._state = state
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return flow
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return create_flow
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@pytest.mark.parametrize(
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"test_input,expected",
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[
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@@ -47,9 +36,8 @@ def mock_flow():
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({"nested": [1, [2, 3], {4, 5}]}, {"nested": [1, [2, 3], [4, 5]]}),
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],
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)
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def test_basic_serialization(mock_flow, test_input, expected):
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flow = mock_flow(test_input)
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result = export_state(flow)
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def test_basic_serialization(test_input, expected):
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result = to_serializable(test_input)
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assert result == expected
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@@ -60,9 +48,8 @@ def test_basic_serialization(mock_flow, test_input, expected):
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(datetime(2024, 1, 1, 12, 30), "2024-01-01T12:30:00"),
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],
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)
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def test_temporal_serialization(mock_flow, input_date, expected):
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flow = mock_flow({"date": input_date})
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result = export_state(flow)
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def test_temporal_serialization(input_date, expected):
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result = to_serializable({"date": input_date})
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assert result["date"] == expected
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@@ -75,9 +62,8 @@ def test_temporal_serialization(mock_flow, input_date, expected):
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("normal", "value", str),
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],
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)
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def test_dictionary_key_serialization(mock_flow, key, value, expected_key_type):
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flow = mock_flow({key: value})
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result = export_state(flow)
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def test_dictionary_key_serialization(key, value, expected_key_type):
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result = to_serializable({key: value})
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assert len(result) == 1
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result_key = next(iter(result.keys()))
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assert isinstance(result_key, expected_key_type)
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@@ -91,14 +77,13 @@ def test_dictionary_key_serialization(mock_flow, key, value, expected_key_type):
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(str.upper, "upper"),
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],
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)
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def test_callable_serialization(mock_flow, callable_obj, expected_in_result):
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flow = mock_flow({"func": callable_obj})
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result = export_state(flow)
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def test_callable_serialization(callable_obj, expected_in_result):
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result = to_serializable({"func": callable_obj})
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assert isinstance(result["func"], str)
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assert expected_in_result in result["func"].lower()
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def test_pydantic_model_serialization(mock_flow):
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def test_pydantic_model_serialization():
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address = Address(street="123 Main St", city="Tech City", country="Pythonia")
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person = Person(
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@@ -109,23 +94,21 @@ def test_pydantic_model_serialization(mock_flow):
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skills=["Python", "Testing"],
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)
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flow = mock_flow(
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{
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"single_model": address,
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"nested_model": person,
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"model_list": [address, address],
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"model_dict": {"home": address},
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}
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)
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data = {
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"single_model": address,
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"nested_model": person,
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"model_list": [address, address],
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"model_dict": {"home": address},
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}
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result = export_state(flow)
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result = to_serializable(data)
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assert (
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to_string(result)
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== '{"single_model": {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}, "nested_model": {"name": "John Doe", "age": 30, "address": {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}, "birthday": "1994-01-01", "skills": ["Python", "Testing"]}, "model_list": [{"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}, {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}], "model_dict": {"home": {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}}}'
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)
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def test_depth_limit(mock_flow):
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def test_depth_limit():
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"""Test max depth handling with a deeply nested structure"""
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def create_nested(depth):
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@@ -134,8 +117,7 @@ def test_depth_limit(mock_flow):
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return {"next": create_nested(depth - 1)}
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deep_structure = create_nested(10)
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flow = mock_flow(deep_structure)
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result = export_state(flow)
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result = to_serializable(deep_structure)
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assert result == {
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"next": {
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