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