""" Phase 3: Decision Framework Tests Tests for distributed decision making, voting systems, and consensus algorithms """ import pytest import asyncio import json from datetime import datetime, timedelta from unittest.mock import Mock, AsyncMock from typing import Dict, List, Any # Mock imports for testing class MockDecisionEngine: def __init__(self): self.decisions = {} self.votes = {} async def make_decision(self, decision_data: Dict[str, Any]) -> Dict[str, Any]: decision_id = decision_data.get('decision_id', 'test_decision') self.decisions[decision_id] = decision_data return { 'decision_id': decision_id, 'status': 'completed', 'result': decision_data.get('proposal', 'approved'), 'timestamp': datetime.utcnow().isoformat() } async def submit_vote(self, vote_data: Dict[str, Any]) -> Dict[str, Any]: vote_id = vote_data.get('vote_id', 'test_vote') self.votes[vote_id] = vote_data return { 'vote_id': vote_id, 'status': 'recorded', 'timestamp': datetime.utcnow().isoformat() } class MockConsensusAlgorithm: def __init__(self): self.consensus_results = {} async def achieve_consensus(self, participants: List[str], proposal: Dict[str, Any]) -> Dict[str, Any]: consensus_id = f"consensus_{len(self.consensus_results)}" self.consensus_results[consensus_id] = { 'participants': participants, 'proposal': proposal, 'result': 'consensus_reached' } return { 'consensus_id': consensus_id, 'status': 'consensus_reached', 'agreement': True, 'timestamp': datetime.utcnow().isoformat() } class TestDecisionEngine: """Test the decision engine functionality""" def setup_method(self): self.decision_engine = MockDecisionEngine() @pytest.mark.asyncio async def test_make_decision(self): """Test basic decision making""" decision_data = { 'decision_id': 'test_decision_001', 'proposal': 'test_proposal', 'priority': 'high' } result = await self.decision_engine.make_decision(decision_data) assert result['decision_id'] == 'test_decision_001' assert result['status'] == 'completed' assert result['result'] == 'test_proposal' assert 'timestamp' in result @pytest.mark.asyncio async def test_submit_vote(self): """Test vote submission""" vote_data = { 'vote_id': 'test_vote_001', 'voter_id': 'agent_001', 'vote': 'approve', 'decision_id': 'test_decision_001' } result = await self.decision_engine.submit_vote(vote_data) assert result['vote_id'] == 'test_vote_001' assert result['status'] == 'recorded' assert 'timestamp' in result @pytest.mark.asyncio async def test_decision_with_complex_data(self): """Test decision making with complex data""" decision_data = { 'decision_id': 'complex_decision_001', 'proposal': { 'action': 'resource_allocation', 'resources': ['cpu', 'memory', 'storage'], 'amounts': {'cpu': 50, 'memory': 2048, 'storage': 100} }, 'participants': ['agent_001', 'agent_002', 'agent_003'], 'deadline': (datetime.utcnow() + timedelta(hours=1)).isoformat() } result = await self.decision_engine.make_decision(decision_data) assert result['decision_id'] == 'complex_decision_001' assert result['status'] == 'completed' assert 'timestamp' in result class TestConsensusAlgorithm: """Test consensus algorithm functionality""" def setup_method(self): self.consensus = MockConsensusAlgorithm() @pytest.mark.asyncio async def test_achieve_consensus(self): """Test basic consensus achievement""" participants = ['agent_001', 'agent_002', 'agent_003'] proposal = { 'action': 'system_update', 'version': '1.0.0', 'description': 'Update system to new version' } result = await self.consensus.achieve_consensus(participants, proposal) assert result['status'] == 'consensus_reached' assert result['agreement'] is True assert 'consensus_id' in result assert 'timestamp' in result @pytest.mark.asyncio async def test_consensus_with_single_agent(self): """Test consensus with single participant""" participants = ['agent_001'] proposal = {'action': 'test_action'} result = await self.consensus.achieve_consensus(participants, proposal) assert result['status'] == 'consensus_reached' assert result['agreement'] is True @pytest.mark.asyncio async def test_consensus_with_complex_proposal(self): """Test consensus with complex proposal""" participants = ['agent_001', 'agent_002', 'agent_003', 'agent_004'] proposal = { 'action': 'policy_change', 'policy': { 'name': 'resource_allocation_policy', 'rules': [ {'rule': 'priority_based', 'weight': 0.6}, {'rule': 'fair_share', 'weight': 0.4} ], 'effective_date': datetime.utcnow().isoformat() } } result = await self.consensus.achieve_consensus(participants, proposal) assert result['status'] == 'consensus_reached' assert result['agreement'] is True assert 'consensus_id' in result class TestVotingSystem: """Test voting system functionality""" def setup_method(self): self.decision_engine = MockDecisionEngine() self.votes = {} @pytest.mark.asyncio async def test_majority_voting(self): """Test majority voting mechanism""" votes = [ {'voter_id': 'agent_001', 'vote': 'approve'}, {'voter_id': 'agent_002', 'vote': 'approve'}, {'voter_id': 'agent_003', 'vote': 'reject'} ] # Simulate majority voting approve_votes = sum(1 for v in votes if v['vote'] == 'approve') total_votes = len(votes) majority_threshold = total_votes // 2 + 1 result = { 'decision': 'approve' if approve_votes >= majority_threshold else 'reject', 'vote_count': {'approve': approve_votes, 'reject': total_votes - approve_votes}, 'threshold': majority_threshold } assert result['decision'] == 'approve' assert result['vote_count']['approve'] == 2 assert result['vote_count']['reject'] == 1 assert result['threshold'] == 2 @pytest.mark.asyncio async def test_weighted_voting(self): """Test weighted voting mechanism""" votes = [ {'voter_id': 'agent_001', 'vote': 'approve', 'weight': 3}, {'voter_id': 'agent_002', 'vote': 'reject', 'weight': 1}, {'voter_id': 'agent_003', 'vote': 'approve', 'weight': 2} ] # Calculate weighted votes approve_weight = sum(v['weight'] for v in votes if v['vote'] == 'approve') reject_weight = sum(v['weight'] for v in votes if v['vote'] == 'reject') total_weight = approve_weight + reject_weight result = { 'decision': 'approve' if approve_weight > reject_weight else 'reject', 'weighted_count': {'approve': approve_weight, 'reject': reject_weight}, 'total_weight': total_weight } assert result['decision'] == 'approve' assert result['weighted_count']['approve'] == 5 assert result['weighted_count']['reject'] == 1 assert result['total_weight'] == 6 @pytest.mark.asyncio async def test_unanimous_voting(self): """Test unanimous voting mechanism""" votes = [ {'voter_id': 'agent_001', 'vote': 'approve'}, {'voter_id': 'agent_002', 'vote': 'approve'}, {'voter_id': 'agent_003', 'vote': 'approve'} ] # Check for unanimity all_approve = all(v['vote'] == 'approve' for v in votes) result = { 'decision': 'approve' if all_approve else 'reject', 'unanimous': all_approve, 'vote_count': len(votes) } assert result['decision'] == 'approve' assert result['unanimous'] is True assert result['vote_count'] == 3 class TestAgentLifecycleManagement: """Test agent lifecycle management""" def setup_method(self): self.agents = {} self.agent_states = {} @pytest.mark.asyncio async def test_agent_registration(self): """Test agent registration in decision system""" agent_data = { 'agent_id': 'agent_001', 'capabilities': ['decision_making', 'voting'], 'status': 'active', 'join_time': datetime.utcnow().isoformat() } self.agents[agent_data['agent_id']] = agent_data assert agent_data['agent_id'] in self.agents assert self.agents[agent_data['agent_id']]['status'] == 'active' assert 'decision_making' in self.agents[agent_data['agent_id']]['capabilities'] @pytest.mark.asyncio async def test_agent_status_update(self): """Test agent status updates""" agent_id = 'agent_002' self.agents[agent_id] = { 'agent_id': agent_id, 'status': 'active', 'last_update': datetime.utcnow().isoformat() } # Update agent status self.agents[agent_id]['status'] = 'busy' self.agents[agent_id]['last_update'] = datetime.utcnow().isoformat() assert self.agents[agent_id]['status'] == 'busy' assert 'last_update' in self.agents[agent_id] @pytest.mark.asyncio async def test_agent_removal(self): """Test agent removal from decision system""" agent_id = 'agent_003' self.agents[agent_id] = { 'agent_id': agent_id, 'status': 'active' } # Remove agent del self.agents[agent_id] assert agent_id not in self.agents # Integration tests class TestDecisionIntegration: """Integration tests for decision framework""" @pytest.mark.asyncio async def test_end_to_end_decision_process(self): """Test complete decision making process""" decision_engine = MockDecisionEngine() consensus = MockConsensusAlgorithm() # Step 1: Create decision proposal decision_data = { 'decision_id': 'integration_test_001', 'proposal': 'test_proposal', 'participants': ['agent_001', 'agent_002'] } # Step 2: Make decision decision_result = await decision_engine.make_decision(decision_data) # Step 3: Achieve consensus consensus_result = await consensus.achieve_consensus( decision_data['participants'], {'action': decision_data['proposal']} ) # Verify results assert decision_result['status'] == 'completed' assert consensus_result['status'] == 'consensus_reached' assert decision_result['decision_id'] == 'integration_test_001' @pytest.mark.asyncio async def test_multi_agent_coordination(self): """Test coordination between multiple agents""" agents = ['agent_001', 'agent_002', 'agent_003'] decision_engine = MockDecisionEngine() # Simulate coordinated decision making decisions = [] for i, agent in enumerate(agents): decision_data = { 'decision_id': f'coord_test_{i}', 'agent_id': agent, 'proposal': f'proposal_{i}', 'coordinated_with': [a for a in agents if a != agent] } result = await decision_engine.make_decision(decision_data) decisions.append(result) # Verify all decisions were made assert len(decisions) == len(agents) for decision in decisions: assert decision['status'] == 'completed' if __name__ == '__main__': pytest.main([__file__])