Files
crewAI/tests/observability/__init__.py
Devin AI 8ab236a68e Fix lint issues: remove unused imports
- Remove unused 'Crew' import from both test files
- Remove unused 'pytest' import from test_langdb_documentation.py
- Keep only imports that are actually used in the code

Fixes lint check failure in PR #3241

Co-Authored-By: João <joao@crewai.com>
2025-07-30 10:06:59 +00:00

143 lines
4.1 KiB
Python

from crewai import Agent, Task, LLM
def test_langdb_basic_integration_example():
"""Test the basic LangDB integration example from the documentation."""
class MockLangDB:
@staticmethod
def init(**kwargs):
pass
MockLangDB.init()
llm = LLM(
model="gpt-4o",
temperature=0.7
)
agent = Agent(
role="Senior Research Analyst",
goal="Conduct comprehensive research on assigned topics",
backstory="You are an expert researcher with deep analytical skills.",
llm=llm,
verbose=True
)
assert agent.role == "Senior Research Analyst"
assert agent.goal == "Conduct comprehensive research on assigned topics"
assert agent.llm == llm
def test_langdb_metadata_configuration_example():
"""Test the metadata configuration example from the documentation."""
class MockLangDB:
@staticmethod
def init(metadata=None, **kwargs):
assert metadata is not None
assert "environment" in metadata
assert "crew_type" in metadata
MockLangDB.init(
metadata={
"environment": "production",
"crew_type": "research_workflow",
"user_id": "user_123"
}
)
def test_langdb_cost_tracking_example():
"""Test the cost tracking configuration example from the documentation."""
class MockLangDB:
@staticmethod
def init(cost_tracking=None, budget_alerts=None, **kwargs):
assert cost_tracking is True
assert budget_alerts is not None
assert "daily_limit" in budget_alerts
assert "alert_threshold" in budget_alerts
MockLangDB.init(
cost_tracking=True,
budget_alerts={
"daily_limit": 100.0,
"alert_threshold": 0.8
}
)
def test_langdb_security_configuration_example():
"""Test the security configuration example from the documentation."""
class MockLangDB:
@staticmethod
def init(security_config=None, **kwargs):
assert security_config is not None
assert "pii_detection" in security_config
assert "content_filtering" in security_config
assert "audit_logging" in security_config
MockLangDB.init(
security_config={
"pii_detection": True,
"content_filtering": True,
"audit_logging": True,
"data_retention_days": 90
}
)
def test_langdb_environment_specific_setup():
"""Test the multi-environment setup example from the documentation."""
environments = ["production", "staging", "development"]
for env in environments:
class MockLangDB:
@staticmethod
def init(project_id=None, sampling_rate=None, cost_tracking=None, **kwargs):
assert project_id is not None
assert sampling_rate is not None
assert cost_tracking is not None
if env == "production":
MockLangDB.init(
project_id="prod_project_id",
sampling_rate=1.0,
cost_tracking=True
)
elif env == "staging":
MockLangDB.init(
project_id="staging_project_id",
sampling_rate=0.5,
cost_tracking=False
)
else:
MockLangDB.init(
project_id="dev_project_id",
sampling_rate=0.1,
cost_tracking=False
)
def test_langdb_task_with_metadata():
"""Test task creation with metadata as shown in documentation."""
llm = LLM(model="gpt-4o")
agent = Agent(
role="Senior Research Analyst",
goal="Conduct research",
backstory="Expert researcher",
llm=llm
)
task = Task(
description="Research the latest AI trends",
expected_output="Comprehensive research report",
agent=agent
)
assert task.description == "Research the latest AI trends"
assert task.expected_output == "Comprehensive research report"
assert task.agent == agent