mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-09 16:18:30 +00:00
fix: Add pytest.ini and improve test initialization
Co-Authored-By: Joe Moura <joao@crewai.com>
This commit is contained in:
3
pytest.ini
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3
pytest.ini
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@@ -0,0 +1,3 @@
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[pytest]
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markers =
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agentops: Tests for AgentOps integration
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@@ -53,10 +53,15 @@ from crewai.utilities.planning_handler import CrewPlanner
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from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
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from crewai.utilities.training_handler import CrewTrainingHandler
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from typing import Optional
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try:
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import agentops # type: ignore
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from agentops.exceptions import AgentOpsError, AuthenticationError # type: ignore
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except ImportError:
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agentops = None
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AgentOpsError = None
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AuthenticationError = None
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warnings.filterwarnings("ignore", category=SyntaxWarning, module="pysbd")
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@@ -91,6 +96,8 @@ class Crew(BaseModel):
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__hash__ = object.__hash__ # type: ignore
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_execution_span: Any = PrivateAttr()
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_rpm_controller: RPMController = PrivateAttr()
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_agentops: Optional['agentops.AgentOps'] = PrivateAttr(default=None)
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_telemetry: Optional[Telemetry] = PrivateAttr(default=None)
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_logger: Logger = PrivateAttr()
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_file_handler: FileHandler = PrivateAttr()
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_cache_handler: InstanceOf[CacheHandler] = PrivateAttr(default=CacheHandler())
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@@ -241,38 +248,72 @@ class Crew(BaseModel):
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# TODO: Improve typing
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return json.loads(v) if isinstance(v, Json) else v # type: ignore
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@model_validator(mode="after")
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def _validate_api_key(self, api_key: Optional[str]) -> bool:
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"""Validate the AgentOps API key.
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Args:
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api_key: The API key to validate
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Returns:
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bool: True if the API key is valid, False otherwise
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"""
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if not api_key:
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return False
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stripped_key = api_key.strip()
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return bool(stripped_key and len(stripped_key) > 10)
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def set_private_attrs(self) -> "Crew":
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"""Set private attributes."""
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"""Initialize private attributes including AgentOps integration.
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This method sets up:
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- Logger and file handler for output logging
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- RPM controller for rate limiting
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- AgentOps integration for monitoring (if available and configured)
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"""
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self._cache_handler = CacheHandler()
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self._logger = Logger(verbose=self.verbose)
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if self.output_log_file:
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self._file_handler = FileHandler(self.output_log_file)
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self._rpm_controller = RPMController(max_rpm=self.max_rpm, logger=self._logger)
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self._telemetry = Telemetry()
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self._telemetry.set_tracer()
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# Initialize agentops if available and API key is present
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if agentops:
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api_key = os.getenv("AGENTOPS_API_KEY")
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if api_key and api_key.strip(): # Validate API key
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if self._validate_api_key(api_key):
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try:
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agentops.init(api_key)
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self._agentops = agentops
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self._logger.log(
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"info",
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"Successfully initialized agentops",
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color="green"
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)
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except (ConnectionError, ValueError) as e:
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except (ConnectionError, AuthenticationError) as e:
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self._logger.log(
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"warning",
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f"Failed to initialize agentops: {e}",
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f"Failed to connect to agentops: {e}",
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color="yellow"
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)
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self._agentops = None
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except (ValueError, AgentOpsError) as e:
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self._logger.log(
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"warning",
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f"Invalid agentops configuration: {e}",
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color="yellow"
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)
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self._agentops = None
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else:
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self._logger.log(
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"warning",
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"Invalid AGENTOPS_API_KEY provided",
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color="yellow"
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)
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self._agentops = None
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if self.function_calling_llm and not isinstance(self.function_calling_llm, LLM):
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self.function_calling_llm = create_llm(self.function_calling_llm)
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self._telemetry = Telemetry()
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self._telemetry.set_tracer()
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return self
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@model_validator(mode="after")
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@@ -30,87 +30,98 @@ from crewai.utilities.rpm_controller import RPMController
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from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
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def test_agentops_initialization_with_api_key(monkeypatch):
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"""Test that agentops is properly initialized when API key is present."""
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import agentops
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# Mock agentops.init
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mock_init = MagicMock()
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monkeypatch.setattr(agentops, "init", mock_init)
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# Set API key
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monkeypatch.setenv("AGENTOPS_API_KEY", "test-key")
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# Create crew
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task = Task(
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description="Test task",
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expected_output="Test output",
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agent=researcher,
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@pytest.fixture
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def researcher():
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"""Fixture to create a researcher agent."""
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return Agent(
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role="Researcher",
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goal="Make the best research and analysis on content about AI and AI agents",
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backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups.",
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allow_delegation=False,
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)
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crew = Crew(agents=[researcher], tasks=[task])
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# Verify agentops was initialized
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mock_init.assert_called_once_with("test-key")
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def test_agentops_initialization_without_api_key(monkeypatch):
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"""Test that agentops is not initialized when API key is not present."""
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import agentops
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# Mock agentops.init
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mock_init = MagicMock()
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monkeypatch.setattr(agentops, "init", mock_init)
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# Create crew without setting API key
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task = Task(
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description="Test task",
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expected_output="Test output",
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agent=researcher,
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)
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crew = Crew(agents=[researcher], tasks=[task])
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# Verify agentops.init was not called
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mock_init.assert_not_called()
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def test_gemini_llm_with_agentops(monkeypatch):
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"""Test that Gemini LLM works correctly with agentops."""
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# Mock agentops
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@pytest.fixture
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def mock_agentops():
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"""Fixture to mock agentops for testing."""
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mock_agentops = MagicMock()
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monkeypatch.setattr("crewai.crew.agentops", mock_agentops)
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# Set API keys
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monkeypatch.setenv("AGENTOPS_API_KEY", "test-key")
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monkeypatch.setenv("GOOGLE_API_KEY", "test-key")
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# Create crew with Gemini LLM
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llm = LLM(model="gemini-pro")
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agent = Agent(
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role="test",
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goal="test",
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backstory="test",
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llm=llm
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)
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task = Task(
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description="test task",
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expected_output="test output",
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agent=agent
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)
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crew = Crew(agents=[agent], tasks=[task])
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# Mock the agent execution to avoid actual API calls
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with patch.object(Task, 'execute_sync', return_value=TaskOutput(
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description="test",
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raw="test output",
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agent=agent.role
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)):
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# Run crew
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crew.kickoff()
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# Verify agentops.end_session was called correctly
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mock_agentops.end_session.assert_called_once_with(
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end_state="Success",
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end_state_reason="Finished Execution",
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is_auto_end=True
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)
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mock_agentops.init = MagicMock()
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return mock_agentops
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@pytest.mark.agentops
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class TestAgentOpsIntegration:
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"""Tests for AgentOps integration."""
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def test_initialization_with_api_key(self, mock_agentops, monkeypatch):
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"""Test that agentops is properly initialized when API key is present."""
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monkeypatch.setattr("crewai.crew.agentops", mock_agentops)
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monkeypatch.setenv("AGENTOPS_API_KEY", "test-key-12345")
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crew = Crew(agents=[researcher], tasks=[Task(
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description="Test task",
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expected_output="Test output",
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agent=researcher,
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)])
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crew.set_private_attrs()
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mock_agentops.init.assert_called_once_with("test-key-12345")
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def test_initialization_without_api_key(self, mock_agentops):
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"""Test that agentops is not initialized when API key is not present."""
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crew = Crew(agents=[researcher], tasks=[Task(
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description="Test task",
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expected_output="Test output",
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agent=researcher,
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)])
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mock_agentops.assert_not_called()
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def test_initialization_with_invalid_api_key(self, mock_agentops, monkeypatch):
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"""Test that agentops is not initialized when API key is invalid."""
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monkeypatch.setenv("AGENTOPS_API_KEY", " ")
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crew = Crew(agents=[researcher], tasks=[Task(
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description="Test task",
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expected_output="Test output",
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agent=researcher,
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)])
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mock_agentops.assert_not_called()
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def test_gemini_llm_integration(self, mock_agentops, monkeypatch):
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"""Test that Gemini LLM works correctly with agentops."""
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# Mock agentops
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monkeypatch.setattr("crewai.crew.agentops", mock_agentops)
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# Set API keys
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monkeypatch.setenv("AGENTOPS_API_KEY", "test-key-12345")
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monkeypatch.setenv("GOOGLE_API_KEY", "test-key")
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# Create crew with Gemini LLM
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llm = LLM(model="gemini-pro")
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agent = Agent(
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role="test",
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goal="test",
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backstory="test",
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llm=llm
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)
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task = Task(
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description="test task",
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expected_output="test output",
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agent=agent
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)
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crew = Crew(agents=[agent], tasks=[task])
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crew.set_private_attrs()
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# Mock the agent execution to avoid actual API calls
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with patch.object(Task, 'execute_sync', return_value=TaskOutput(
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description="test",
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raw="test output",
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agent=agent.role
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)):
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# Run crew
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crew.kickoff()
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# Verify agentops.end_session was called correctly
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mock_agentops.end_session.assert_called_once_with(
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end_state="Success",
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end_state_reason="Finished Execution",
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is_auto_end=True
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)
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ceo = Agent(
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role="CEO",
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