Add sys import to test files and remove obsolete integration tests
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- 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
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158
apps/global-ai-agents/tests/test_unit_global_ai_agents.py
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158
apps/global-ai-agents/tests/test_unit_global_ai_agents.py
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"""Unit tests for global AI agents service"""
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import pytest
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import sys
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import sys
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from pathlib import Path
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from datetime import datetime
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from main import app, Agent, AgentMessage, CollaborationSession, AgentPerformance
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@pytest.mark.unit
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def test_app_initialization():
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"""Test that the FastAPI app initializes correctly"""
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assert app is not None
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assert app.title == "AITBC Global AI Agent Communication Service"
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assert app.version == "1.0.0"
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@pytest.mark.unit
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def test_agent_model():
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"""Test Agent model"""
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agent = Agent(
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agent_id="agent_123",
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name="Test Agent",
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type="ai",
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region="us-east-1",
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capabilities=["trading", "analysis"],
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status="active",
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languages=["english", "chinese"],
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specialization="trading",
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performance_score=4.5
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)
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assert agent.agent_id == "agent_123"
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assert agent.name == "Test Agent"
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assert agent.type == "ai"
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assert agent.status == "active"
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assert agent.performance_score == 4.5
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@pytest.mark.unit
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def test_agent_empty_capabilities():
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"""Test Agent with empty capabilities"""
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agent = Agent(
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agent_id="agent_123",
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name="Test Agent",
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type="ai",
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region="us-east-1",
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capabilities=[],
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status="active",
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languages=["english"],
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specialization="general",
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performance_score=4.5
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)
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assert agent.capabilities == []
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@pytest.mark.unit
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def test_agent_message_model():
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"""Test AgentMessage model"""
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message = AgentMessage(
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message_id="msg_123",
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sender_id="agent_123",
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recipient_id="agent_456",
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message_type="request",
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content={"data": "test"},
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priority="high",
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language="english",
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timestamp=datetime.utcnow()
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)
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assert message.message_id == "msg_123"
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assert message.sender_id == "agent_123"
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assert message.recipient_id == "agent_456"
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assert message.message_type == "request"
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assert message.priority == "high"
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@pytest.mark.unit
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def test_agent_message_broadcast():
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"""Test AgentMessage with None recipient (broadcast)"""
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message = AgentMessage(
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message_id="msg_123",
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sender_id="agent_123",
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recipient_id=None,
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message_type="broadcast",
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content={"data": "test"},
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priority="medium",
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language="english",
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timestamp=datetime.utcnow()
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)
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assert message.recipient_id is None
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@pytest.mark.unit
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def test_collaboration_session_model():
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"""Test CollaborationSession model"""
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session = CollaborationSession(
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session_id="session_123",
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participants=["agent_123", "agent_456"],
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session_type="task_force",
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objective="Complete trading task",
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created_at=datetime.utcnow(),
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expires_at=datetime.utcnow(),
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status="active"
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)
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assert session.session_id == "session_123"
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assert session.participants == ["agent_123", "agent_456"]
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assert session.session_type == "task_force"
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@pytest.mark.unit
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def test_collaboration_session_empty_participants():
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"""Test CollaborationSession with empty participants"""
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session = CollaborationSession(
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session_id="session_123",
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participants=[],
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session_type="research",
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objective="Research task",
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created_at=datetime.utcnow(),
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expires_at=datetime.utcnow(),
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status="active"
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)
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assert session.participants == []
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@pytest.mark.unit
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def test_agent_performance_model():
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"""Test AgentPerformance model"""
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performance = AgentPerformance(
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agent_id="agent_123",
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timestamp=datetime.utcnow(),
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tasks_completed=10,
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response_time_ms=50.5,
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accuracy_score=0.95,
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collaboration_score=0.9,
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resource_usage={"cpu": 50.0, "memory": 60.0}
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)
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assert performance.agent_id == "agent_123"
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assert performance.tasks_completed == 10
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assert performance.response_time_ms == 50.5
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assert performance.accuracy_score == 0.95
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@pytest.mark.unit
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def test_agent_performance_negative_values():
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"""Test AgentPerformance with negative values"""
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performance = AgentPerformance(
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agent_id="agent_123",
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timestamp=datetime.utcnow(),
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tasks_completed=-10,
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response_time_ms=-50.5,
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accuracy_score=-0.95,
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collaboration_score=-0.9,
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resource_usage={}
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)
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assert performance.tasks_completed == -10
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assert performance.response_time_ms == -50.5
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