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aitbc/apps/global-ai-agents/tests/test_unit_global_ai_agents.py
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Add sys import to test files and remove obsolete integration tests
- Add sys import to 29 test files across agent-coordinator, blockchain-event-bridge, blockchain-node, and coordinator-api
- Remove apps/blockchain-event-bridge/tests/test_integration.py (obsolete bridge integration tests)
- Remove apps/coordinator-api/tests/test_integration.py (obsolete API integration tests)
- Implement GPU registration in marketplace_gpu.py with GPURegistry model persistence
2026-04-23 16:43:17 +02:00

159 lines
4.4 KiB
Python

"""Unit tests for global AI agents service"""
import pytest
import sys
import sys
from pathlib import Path
from datetime import datetime
from main import app, Agent, AgentMessage, CollaborationSession, AgentPerformance
@pytest.mark.unit
def test_app_initialization():
"""Test that the FastAPI app initializes correctly"""
assert app is not None
assert app.title == "AITBC Global AI Agent Communication Service"
assert app.version == "1.0.0"
@pytest.mark.unit
def test_agent_model():
"""Test Agent model"""
agent = Agent(
agent_id="agent_123",
name="Test Agent",
type="ai",
region="us-east-1",
capabilities=["trading", "analysis"],
status="active",
languages=["english", "chinese"],
specialization="trading",
performance_score=4.5
)
assert agent.agent_id == "agent_123"
assert agent.name == "Test Agent"
assert agent.type == "ai"
assert agent.status == "active"
assert agent.performance_score == 4.5
@pytest.mark.unit
def test_agent_empty_capabilities():
"""Test Agent with empty capabilities"""
agent = Agent(
agent_id="agent_123",
name="Test Agent",
type="ai",
region="us-east-1",
capabilities=[],
status="active",
languages=["english"],
specialization="general",
performance_score=4.5
)
assert agent.capabilities == []
@pytest.mark.unit
def test_agent_message_model():
"""Test AgentMessage model"""
message = AgentMessage(
message_id="msg_123",
sender_id="agent_123",
recipient_id="agent_456",
message_type="request",
content={"data": "test"},
priority="high",
language="english",
timestamp=datetime.utcnow()
)
assert message.message_id == "msg_123"
assert message.sender_id == "agent_123"
assert message.recipient_id == "agent_456"
assert message.message_type == "request"
assert message.priority == "high"
@pytest.mark.unit
def test_agent_message_broadcast():
"""Test AgentMessage with None recipient (broadcast)"""
message = AgentMessage(
message_id="msg_123",
sender_id="agent_123",
recipient_id=None,
message_type="broadcast",
content={"data": "test"},
priority="medium",
language="english",
timestamp=datetime.utcnow()
)
assert message.recipient_id is None
@pytest.mark.unit
def test_collaboration_session_model():
"""Test CollaborationSession model"""
session = CollaborationSession(
session_id="session_123",
participants=["agent_123", "agent_456"],
session_type="task_force",
objective="Complete trading task",
created_at=datetime.utcnow(),
expires_at=datetime.utcnow(),
status="active"
)
assert session.session_id == "session_123"
assert session.participants == ["agent_123", "agent_456"]
assert session.session_type == "task_force"
@pytest.mark.unit
def test_collaboration_session_empty_participants():
"""Test CollaborationSession with empty participants"""
session = CollaborationSession(
session_id="session_123",
participants=[],
session_type="research",
objective="Research task",
created_at=datetime.utcnow(),
expires_at=datetime.utcnow(),
status="active"
)
assert session.participants == []
@pytest.mark.unit
def test_agent_performance_model():
"""Test AgentPerformance model"""
performance = AgentPerformance(
agent_id="agent_123",
timestamp=datetime.utcnow(),
tasks_completed=10,
response_time_ms=50.5,
accuracy_score=0.95,
collaboration_score=0.9,
resource_usage={"cpu": 50.0, "memory": 60.0}
)
assert performance.agent_id == "agent_123"
assert performance.tasks_completed == 10
assert performance.response_time_ms == 50.5
assert performance.accuracy_score == 0.95
@pytest.mark.unit
def test_agent_performance_negative_values():
"""Test AgentPerformance with negative values"""
performance = AgentPerformance(
agent_id="agent_123",
timestamp=datetime.utcnow(),
tasks_completed=-10,
response_time_ms=-50.5,
accuracy_score=-0.95,
collaboration_score=-0.9,
resource_usage={}
)
assert performance.tasks_completed == -10
assert performance.response_time_ms == -50.5