""" Phase Integration Tests Tests integration between different phases of the mesh network transition """ import pytest import asyncio import time import json from unittest.mock import Mock, patch, AsyncMock from decimal import Decimal # Test integration between Phase 1 (Consensus) and Phase 2 (Network) class TestConsensusNetworkIntegration: """Test integration between consensus and network layers""" @pytest.mark.asyncio async def test_consensus_with_network_discovery(self): """Test consensus validators using network discovery""" # Mock network discovery mock_discovery = Mock() mock_discovery.get_peer_count.return_value = 10 mock_discovery.get_peer_list.return_value = [ Mock(node_id=f"validator_{i}", address=f"10.0.0.{i}", port=8000) for i in range(10) ] # Mock consensus mock_consensus = Mock() mock_consensus.validators = {} # Test that consensus can discover validators through network peers = mock_discovery.get_peer_list() assert len(peers) == 10 # Add network-discovered validators to consensus for peer in peers: mock_consensus.validators[peer.node_id] = Mock( address=peer.address, port=peer.port, stake=1000.0 ) assert len(mock_consensus.validators) == 10 @pytest.mark.asyncio async def test_network_partition_consensus_handling(self): """Test how consensus handles network partitions""" # Mock partition detection mock_partition_manager = Mock() mock_partition_manager.is_partitioned.return_value = True mock_partition_manager.get_local_partition_size.return_value = 3 # Mock consensus mock_consensus = Mock() mock_consensus.min_validators = 5 mock_consensus.current_validators = 3 # Test consensus response to partition if mock_partition_manager.is_partitioned(): local_size = mock_partition_manager.get_local_partition_size() if local_size < mock_consensus.min_validators: # Should enter safe mode or pause consensus mock_consensus.enter_safe_mode.assert_called_once() assert True # Test passes if safe mode is called @pytest.mark.asyncio async def test_peer_health_affects_consensus_participation(self): """Test that peer health affects consensus participation""" # Mock health monitor mock_health_monitor = Mock() mock_health_monitor.get_healthy_peers.return_value = [ "validator_1", "validator_2", "validator_3" ] mock_health_monitor.get_unhealthy_peers.return_value = [ "validator_4", "validator_5" ] # Mock consensus mock_consensus = Mock() mock_consensus.active_validators = ["validator_1", "validator_2", "validator_3", "validator_4", "validator_5"] # Update consensus participation based on health healthy_peers = mock_health_monitor.get_healthy_peers() mock_consensus.active_validators = [ v for v in mock_consensus.active_validators if v in healthy_peers ] assert len(mock_consensus.active_validators) == 3 assert "validator_4" not in mock_consensus.active_validators assert "validator_5" not in mock_consensus.active_validators # Test integration between Phase 1 (Consensus) and Phase 3 (Economics) class TestConsensusEconomicsIntegration: """Test integration between consensus and economic layers""" @pytest.mark.asyncio async def test_validator_staking_affects_consensus_weight(self): """Test that validator staking affects consensus weight""" # Mock staking manager mock_staking = Mock() mock_staking.get_validator_stake_info.side_effect = lambda addr: Mock( total_stake=Decimal('1000.0') if addr == "validator_1" else Decimal('500.0') ) # Mock consensus mock_consensus = Mock() mock_consensus.validators = ["validator_1", "validator_2"] # Calculate consensus weights based on stake validator_weights = {} for validator in mock_consensus.validators: stake_info = mock_staking.get_validator_stake_info(validator) validator_weights[validator] = float(stake_info.total_stake) assert validator_weights["validator_1"] == 1000.0 assert validator_weights["validator_2"] == 500.0 assert validator_weights["validator_1"] > validator_weights["validator_2"] @pytest.mark.asyncio async def test_slashing_affects_consensus_participation(self): """Test that slashing affects consensus participation""" # Mock slashing manager mock_slashing = Mock() mock_slashing.get_slashed_validators.return_value = ["validator_2"] # Mock consensus mock_consensus = Mock() mock_consensus.active_validators = ["validator_1", "validator_2", "validator_3"] # Remove slashed validators from consensus slashed_validators = mock_slashing.get_slashed_validators() mock_consensus.active_validators = [ v for v in mock_consensus.active_validators if v not in slashed_validators ] assert "validator_2" not in mock_consensus.active_validators assert len(mock_consensus.active_validators) == 2 @pytest.mark.asyncio async def test_rewards_distributed_based_on_consensus_participation(self): """Test that rewards are distributed based on consensus participation""" # Mock consensus mock_consensus = Mock() mock_consensus.get_participation_record.return_value = { "validator_1": 0.9, # 90% participation "validator_2": 0.7, # 70% participation "validator_3": 0.5 # 50% participation } # Mock reward distributor mock_rewards = Mock() total_reward = Decimal('100.0') # Distribute rewards based on participation participation = mock_consensus.get_participation_record() total_participation = sum(participation.values()) for validator, rate in participation.items(): reward_share = total_reward * (rate / total_participation) mock_rewards.distribute_reward(validator, reward_share) # Verify reward distribution calls assert mock_rewards.distribute_reward.call_count == 3 # Check that higher participation gets higher reward calls = mock_rewards.distribute_reward.call_args_list validator_1_reward = calls[0][0][1] # First call, second argument validator_3_reward = calls[2][0][1] # Third call, second argument assert validator_1_reward > validator_3_reward # Test integration between Phase 2 (Network) and Phase 4 (Agents) class TestNetworkAgentIntegration: """Test integration between network and agent layers""" @pytest.mark.asyncio async def test_agent_discovery_through_network(self): """Test that agents discover each other through network layer""" # Mock network discovery mock_network = Mock() mock_network.find_agents_by_capability.return_value = [ Mock(agent_id="agent_1", capabilities=["text_generation"]), Mock(agent_id="agent_2", capabilities=["image_generation"]) ] # Mock agent registry mock_registry = Mock() # Agent discovers other agents through network text_agents = mock_network.find_agents_by_capability("text_generation") image_agents = mock_network.find_agents_by_capability("image_generation") assert len(text_agents) == 1 assert len(image_agents) == 1 assert text_agents[0].agent_id == "agent_1" assert image_agents[0].agent_id == "agent_2" @pytest.mark.asyncio async def test_agent_communication_uses_network_protocols(self): """Test that agent communication uses network protocols""" # Mock communication protocol mock_protocol = Mock() mock_protocol.send_message.return_value = (True, "success", "msg_123") # Mock agents mock_agent = Mock() mock_agent.agent_id = "agent_1" mock_agent.communication_protocol = mock_protocol # Agent sends message using network protocol success, message, msg_id = mock_agent.communication_protocol.send_message( "agent_2", "job_offer", {"job_id": "job_001", "requirements": {}} ) assert success is True assert msg_id == "msg_123" mock_protocol.send_message.assert_called_once() @pytest.mark.asyncio async def test_network_health_affects_agent_reputation(self): """Test that network health affects agent reputation""" # Mock network health monitor mock_health = Mock() mock_health.get_agent_health.return_value = { "agent_1": {"latency": 50, "availability": 0.95}, "agent_2": {"latency": 500, "availability": 0.7} } # Mock reputation manager mock_reputation = Mock() # Update reputation based on network health health_data = mock_health.get_agent_health() for agent_id, health in health_data.items(): if health["latency"] > 200 or health["availability"] < 0.8: mock_reputation.update_reputation(agent_id, -0.1) else: mock_reputation.update_reputation(agent_id, 0.05) # Verify reputation updates assert mock_reputation.update_reputation.call_count == 2 mock_reputation.update_reputation.assert_any_call("agent_2", -0.1) mock_reputation.update_reputation.assert_any_call("agent_1", 0.05) # Test integration between Phase 3 (Economics) and Phase 5 (Contracts) class TestEconomicsContractsIntegration: """Test integration between economic and contract layers""" @pytest.mark.asyncio async def test_escrow_fees_contribute_to_economic_rewards(self): """Test that escrow fees contribute to economic rewards""" # Mock escrow manager mock_escrow = Mock() mock_escrow.get_total_fees_collected.return_value = Decimal('10.0') # Mock reward distributor mock_rewards = Mock() # Distribute rewards from escrow fees total_fees = mock_escrow.get_total_fees_collected() if total_fees > 0: mock_rewards.distribute_platform_rewards(total_fees) mock_rewards.distribute_platform_rewards.assert_called_once_with(Decimal('10.0')) @pytest.mark.asyncio async def test_gas_costs_affect_agent_economics(self): """Test that gas costs affect agent economics""" # Mock gas manager mock_gas = Mock() mock_gas.calculate_transaction_fee.return_value = Mock( total_fee=Decimal('0.001') ) # Mock agent economics mock_agent = Mock() mock_agent.wallet_balance = Decimal('10.0') # Agent pays gas for transaction fee_info = mock_gas.calculate_transaction_fee("job_execution", {}) mock_agent.wallet_balance -= fee_info.total_fee assert mock_agent.wallet_balance == Decimal('9.999') mock_gas.calculate_transaction_fee.assert_called_once() @pytest.mark.asyncio async def test_staking_requirements_for_contract_execution(self): """Test staking requirements for contract execution""" # Mock staking manager mock_staking = Mock() mock_staking.get_stake.return_value = Decimal('1000.0') # Mock contract mock_contract = Mock() mock_contract.min_stake_required = Decimal('500.0') # Check if agent has sufficient stake agent_stake = mock_staking.get_stake("agent_1") can_execute = agent_stake >= mock_contract.min_stake_required assert can_execute is True assert agent_stake >= mock_contract.min_stake_required # Test integration between Phase 4 (Agents) and Phase 5 (Contracts) class TestAgentContractsIntegration: """Test integration between agent and contract layers""" @pytest.mark.asyncio async def test_agents_participate_in_escrow_contracts(self): """Test that agents participate in escrow contracts""" # Mock agent mock_agent = Mock() mock_agent.agent_id = "agent_1" mock_agent.capabilities = ["text_generation"] # Mock escrow manager mock_escrow = Mock() mock_escrow.create_contract.return_value = (True, "success", "contract_123") # Agent creates escrow contract for job success, message, contract_id = mock_escrow.create_contract( job_id="job_001", client_address="0xclient", agent_address=mock_agent.agent_id, amount=Decimal('100.0') ) assert success is True assert contract_id == "contract_123" mock_escrow.create_contract.assert_called_once() @pytest.mark.asyncio async def test_agent_reputation_affects_dispute_outcomes(self): """Test that agent reputation affects dispute outcomes""" # Mock agent mock_agent = Mock() mock_agent.agent_id = "agent_1" # Mock reputation manager mock_reputation = Mock() mock_reputation.get_reputation_score.return_value = Mock(overall_score=0.9) # Mock dispute resolver mock_dispute = Mock() # High reputation agent gets favorable dispute resolution reputation = mock_reputation.get_reputation_score(mock_agent.agent_id) if reputation.overall_score > 0.8: resolution = {"winner": "agent", "agent_payment": 0.8} else: resolution = {"winner": "client", "client_refund": 0.8} mock_dispute.resolve_dispute.return_value = (True, "resolved", resolution) assert resolution["winner"] == "agent" assert resolution["agent_payment"] == 0.8 @pytest.mark.asyncio async def test_agent_capabilities_determine_contract_requirements(self): """Test that agent capabilities determine contract requirements""" # Mock agent mock_agent = Mock() mock_agent.capabilities = [ Mock(capability_type="text_generation", cost_per_use=Decimal('0.001')) ] # Mock contract mock_contract = Mock() # Contract requirements based on agent capabilities for capability in mock_agent.capabilities: mock_contract.add_requirement( capability_type=capability.capability_type, max_cost=capability.cost_per_use * 2 # 2x agent cost ) # Verify contract requirements assert mock_contract.add_requirement.call_count == 1 call_args = mock_contract.add_requirement.call_args[0] assert call_args[0] == "text_generation" assert call_args[1] == Decimal('0.002') # Test full system integration class TestFullSystemIntegration: """Test integration across all phases""" @pytest.mark.asyncio async def test_end_to_end_job_execution_workflow(self): """Test complete job execution workflow across all phases""" # 1. Client creates job (Phase 5: Contracts) mock_escrow = Mock() mock_escrow.create_contract.return_value = (True, "success", "contract_123") success, _, contract_id = mock_escrow.create_contract( job_id="job_001", client_address="0xclient", agent_address="0xagent", amount=Decimal('100.0') ) assert success is True # 2. Fund contract (Phase 5: Contracts) mock_escrow.fund_contract.return_value = (True, "funded") success, _ = mock_escrow.fund_contract(contract_id, "tx_hash") assert success is True # 3. Find suitable agent (Phase 4: Agents) mock_agent_registry = Mock() mock_agent_registry.find_agents_by_capability.return_value = [ Mock(agent_id="agent_1", reputation=0.9) ] agents = mock_agent_registry.find_agents_by_capability("text_generation") assert len(agents) == 1 selected_agent = agents[0] # 4. Network communication (Phase 2: Network) mock_protocol = Mock() mock_protocol.send_message.return_value = (True, "success", "msg_123") success, _, _ = mock_protocol.send_message( selected_agent.agent_id, "job_offer", {"contract_id": contract_id} ) assert success is True # 5. Agent accepts job (Phase 4: Agents) mock_protocol.send_message.return_value = (True, "success", "msg_124") success, _, _ = mock_protocol.send_message( "0xclient", "job_accept", {"contract_id": contract_id, "agent_id": selected_agent.agent_id} ) assert success is True # 6. Consensus validates transaction (Phase 1: Consensus) mock_consensus = Mock() mock_consensus.validate_transaction.return_value = (True, "valid") valid, _ = mock_consensus.validate_transaction({ "type": "job_accept", "contract_id": contract_id, "agent_id": selected_agent.agent_id }) assert valid is True # 7. Execute job and complete milestone (Phase 5: Contracts) mock_escrow.complete_milestone.return_value = (True, "completed") mock_escrow.verify_milestone.return_value = (True, "verified") success, _ = mock_escrow.complete_milestone(contract_id, "milestone_1") assert success is True success, _ = mock_escrow.verify_milestone(contract_id, "milestone_1", True) assert success is True # 8. Release payment (Phase 5: Contracts) mock_escrow.release_full_payment.return_value = (True, "released") success, _ = mock_escrow.release_full_payment(contract_id) assert success is True # 9. Distribute rewards (Phase 3: Economics) mock_rewards = Mock() mock_rewards.distribute_agent_reward.return_value = (True, "distributed") success, _ = mock_rewards.distribute_agent_reward( selected_agent.agent_id, Decimal('95.0') # After fees ) assert success is True # 10. Update reputation (Phase 4: Agents) mock_reputation = Mock() mock_reputation.add_reputation_event.return_value = (True, "added") success, _ = mock_reputation.add_reputation_event( "job_completed", selected_agent.agent_id, contract_id, "Excellent work" ) assert success is True @pytest.mark.asyncio async def test_system_resilience_to_failures(self): """Test system resilience to various failure scenarios""" # Test network partition resilience mock_partition_manager = Mock() mock_partition_manager.detect_partition.return_value = True mock_partition_manager.initiate_recovery.return_value = (True, "recovery_started") partition_detected = mock_partition_manager.detect_partition() if partition_detected: success, _ = mock_partition_manager.initiate_recovery() assert success is True # Test consensus failure handling mock_consensus = Mock() mock_consensus.get_active_validators.return_value = 2 # Below minimum mock_consensus.enter_safe_mode.return_value = (True, "safe_mode") active_validators = mock_consensus.get_active_validators() if active_validators < 3: # Minimum required success, _ = mock_consensus.enter_safe_mode() assert success is True # Test economic incentive resilience mock_economics = Mock() mock_economics.get_total_staked.return_value = Decimal('1000.0') mock_economics.emergency_measures.return_value = (True, "measures_applied") total_staked = mock_economics.get_total_staked() if total_staked < Decimal('5000.0'): # Minimum economic security success, _ = mock_economics.emergency_measures() assert success is True @pytest.mark.asyncio async def test_performance_under_load(self): """Test system performance under high load""" # Simulate high transaction volume transaction_count = 1000 start_time = time.time() # Mock consensus processing mock_consensus = Mock() mock_consensus.process_transaction.return_value = (True, "processed") # Process transactions for i in range(transaction_count): success, _ = mock_consensus.process_transaction(f"tx_{i}") assert success is True processing_time = time.time() - start_time throughput = transaction_count / processing_time # Should handle at least 100 transactions per second assert throughput >= 100 # Test network performance mock_network = Mock() mock_network.broadcast_message.return_value = (True, "broadcasted") start_time = time.time() for i in range(100): # 100 broadcasts success, _ = mock_network.broadcast_message(f"msg_{i}") assert success is True broadcast_time = time.time() - start_time broadcast_throughput = 100 / broadcast_time # Should handle at least 50 broadcasts per second assert broadcast_throughput >= 50 @pytest.mark.asyncio async def test_cross_phase_data_consistency(self): """Test data consistency across all phases""" # Mock data stores for each phase consensus_data = {"validators": ["v1", "v2", "v3"]} network_data = {"peers": ["p1", "p2", "p3"]} economics_data = {"stakes": {"v1": 1000, "v2": 1000, "v3": 1000}} agent_data = {"agents": ["a1", "a2", "a3"]} contract_data = {"contracts": ["c1", "c2", "c3"]} # Test validator consistency between consensus and economics consensus_validators = set(consensus_data["validators"]) staked_validators = set(economics_data["stakes"].keys()) assert consensus_validators == staked_validators, "Validators should be consistent between consensus and economics" # Test agent-capability consistency mock_agents = Mock() mock_agents.get_all_agents.return_value = [ Mock(agent_id="a1", capabilities=["text_gen"]), Mock(agent_id="a2", capabilities=["img_gen"]), Mock(agent_id="a3", capabilities=["text_gen"]) ] mock_contracts = Mock() mock_contracts.get_active_contracts.return_value = [ Mock(required_capability="text_gen"), Mock(required_capability="img_gen") ] agents = mock_agents.get_all_agents() contracts = mock_contracts.get_active_contracts() # Check that required capabilities are available required_capabilities = set(c.required_capability for c in contracts) available_capabilities = set() for agent in agents: available_capabilities.update(agent.capabilities) assert required_capabilities.issubset(available_capabilities), "All required capabilities should be available" # Test configuration and deployment integration class TestConfigurationIntegration: """Test configuration integration across phases""" def test_configuration_file_consistency(self): """Test that configuration files are consistent across phases""" import os config_dir = "/opt/aitbc/config" configs = { "consensus_test.json": {"min_validators": 3, "block_time": 30}, "network_test.json": {"max_peers": 50, "discovery_interval": 30}, "economics_test.json": {"min_stake": 1000, "reward_rate": 0.05}, "agent_network_test.json": {"max_agents": 1000, "reputation_threshold": 0.5}, "smart_contracts_test.json": {"escrow_fee": 0.025, "dispute_timeout": 604800} } for config_file, expected_values in configs.items(): config_path = os.path.join(config_dir, config_file) assert os.path.exists(config_path), f"Missing config file: {config_file}" with open(config_path, 'r') as f: config_data = json.load(f) # Check that expected keys exist for key, expected_value in expected_values.items(): assert key in config_data, f"Missing key {key} in {config_file}" # Don't check exact values as they may be different, just existence def test_deployment_script_integration(self): """Test that deployment scripts work together""" import os scripts_dir = "/opt/aitbc/scripts/plan" scripts = [ "01_consensus_setup.sh", "02_network_infrastructure.sh", "03_economic_layer.sh", "04_agent_network_scaling.sh", "05_smart_contracts.sh" ] # Check all scripts exist and are executable for script in scripts: script_path = os.path.join(scripts_dir, script) assert os.path.exists(script_path), f"Missing script: {script}" assert os.access(script_path, os.X_OK), f"Script not executable: {script}" def test_service_dependencies(self): """Test that service dependencies are correctly configured""" # This would test that services start in the correct order # and that dependencies are properly handled # Expected service startup order: # 1. Consensus service # 2. Network service # 3. Economic service # 4. Agent service # 5. Contract service startup_order = [ "aitbc-consensus", "aitbc-network", "aitbc-economics", "aitbc-agents", "aitbc-contracts" ] # Verify order logic for i, service in enumerate(startup_order): if i > 0: # Each service should depend on the previous one assert i > 0, f"Service {service} should depend on {startup_order[i-1]}" if __name__ == "__main__": pytest.main([ __file__, "-v", "--tb=short", "--maxfail=3" ])