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eb0499d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 | """Integration tests for the complete Federated Learning simulation orchestrator."""
from __future__ import annotations
import logging
from typing import Any
import pytest
from app.application.services.data_generator import DataGenerator
from app.application.services.fl_engine import FederatedLearningEngine
from app.application.services.metrics_service import MetricsService
from app.application.services.model_service import ModelService
from app.application.services.privacy_service import PrivacyService
from app.application.services.simulation_service import SimulationService
from app.config import get_settings
from app.domain.enums import ClientStatus, SimulationStatus
from app.domain.value_objects import SimulationConfig
logger = logging.getLogger(__name__)
@pytest.fixture
def simulation_service() -> SimulationService:
"""Fixture to build the orchestrator service."""
settings = get_settings()
model_service = ModelService(settings)
privacy_service = PrivacyService()
fl_engine = FederatedLearningEngine(settings, model_service, privacy_service)
data_generator = DataGenerator()
metrics_service = MetricsService()
return SimulationService(
settings=settings,
simulation_repo=None,
bank_repo=None,
metrics_repo=None,
data_generator=data_generator,
fl_engine=fl_engine,
metrics_service=metrics_service,
model_service=model_service,
)
def test_simulation_flow_success(simulation_service: SimulationService, sample_config: dict):
"""Test that a standard simulation completes successfully and fires all expected progress events."""
# Scale down sizes for faster test runs
sample_config["bank_a_transactions"] = 1000
sample_config["bank_b_transactions"] = 1000
sample_config["bank_c_transactions"] = 1000
sample_config["num_rounds"] = 2
sample_config["local_epochs"] = 1
config = SimulationConfig(**sample_config)
events = []
def progress_callback(sim_id: str, event_type: str, data: dict[str, Any]) -> None:
events.append((event_type, data))
simulation = simulation_service.run_simulation(config, progress_callback=progress_callback)
# 1. Verify final status and attributes
assert simulation.status == SimulationStatus.COMPLETED
assert len(simulation.banks) == 3
assert simulation.current_round == 2
assert simulation.total_rounds == 2
assert simulation.duration_seconds is not None
assert simulation.duration_seconds > 0
assert simulation.error_message is None
# 2. Check generated bank metrics
for bank in simulation.banks:
assert bank.local_metrics is not None
assert bank.federated_metrics is not None
assert bank.improvement is not None
assert "f1_score" in bank.improvement
assert "auc_roc" in bank.improvement
# 3. Check progress events order
event_types = [e[0] for e in events]
assert "status" in event_types
assert "local_training" in event_types
assert "round_start" in event_types
assert "round_complete" in event_types
assert "completed" in event_types
def test_simulation_with_differential_privacy(
simulation_service: SimulationService, sample_config: dict
):
"""Test FL simulation with Differential Privacy enabled."""
sample_config["enable_differential_privacy"] = True
sample_config.pop("privacy_mechanism", None)
sample_config["dp_epsilon"] = 0.5
sample_config["dp_delta"] = 1e-5
sample_config["num_rounds"] = 2
sample_config["local_epochs"] = 1
config = SimulationConfig(**sample_config)
simulation = simulation_service.run_simulation(config)
assert simulation.status == SimulationStatus.COMPLETED
# Ensure DP is applied (privacy budget must be tracked)
assert simulation.current_round == 2
def test_simulation_with_secure_aggregation(
simulation_service: SimulationService, sample_config: dict
):
"""Test FL simulation with Secure Aggregation enabled."""
sample_config["enable_secure_aggregation"] = True
sample_config.pop("privacy_mechanism", None)
sample_config["num_rounds"] = 2
sample_config["local_epochs"] = 1
config = SimulationConfig(**sample_config)
simulation = simulation_service.run_simulation(config)
assert simulation.status == SimulationStatus.COMPLETED
def test_simulation_with_client_dropouts(
simulation_service: SimulationService, sample_config: dict
):
"""Test FL simulation with simulated dropout rates and client failures."""
sample_config["enable_dropout_simulation"] = True
sample_config["dropout_probability"] = 0.8 # High probability to force dropouts
sample_config["num_rounds"] = 3
sample_config["local_epochs"] = 1
config = SimulationConfig(**sample_config)
simulation = simulation_service.run_simulation(config)
assert simulation.status == SimulationStatus.COMPLETED
# Some banks might have been inactive/dropped
statuses = [bank.status for bank in simulation.banks]
assert any(
status in (ClientStatus.DROPPED, ClientStatus.ACTIVE, ClientStatus.RECONNECTED)
for status in statuses
)
def test_simulation_with_graph_embedding(
simulation_service: SimulationService, sample_config: dict
):
"""Test FL simulation with Federated Graph Embedding (FedGNN) enabled."""
# Populate the graph engine with mock nodes and edges to train on
from app.application.services.graph_engine import GraphEngine
from app.domain.enums import EntityType, RelationshipType, RiskLevel
from app.domain.investigation_entities import Entity, Relationship
ge = GraphEngine()
# Clean previous test residues
ge._entities.clear()
ge._relationships.clear()
# Register nodes for each bank
banks = ["bank_a", "bank_b", "bank_c"]
for i, b_id in enumerate(banks):
e1 = Entity(
id=f"cust_{b_id}_1",
entity_type=EntityType.CUSTOMER,
bank_id=b_id,
risk_level=RiskLevel.MINIMAL,
)
e2 = Entity(
id=f"dev_{b_id}_2",
entity_type=EntityType.DEVICE,
bank_id=b_id,
risk_level=RiskLevel.HIGH,
)
e3 = Entity(
id=f"cust_{b_id}_3",
entity_type=EntityType.CUSTOMER,
bank_id=b_id,
risk_level=RiskLevel.CRITICAL,
)
ge.register_entity(e1)
ge.register_entity(e2)
ge.register_entity(e3)
# Connect them
ge.add_relationship(
Relationship(
id=f"rel_{b_id}_1",
source_entity_id=e1.id,
target_entity_id=e2.id,
relationship_type=RelationshipType.USES,
)
)
ge.add_relationship(
Relationship(
id=f"rel_{b_id}_2",
source_entity_id=e3.id,
target_entity_id=e2.id,
relationship_type=RelationshipType.USES,
)
)
sample_config["enable_graph_embedding"] = True
sample_config["gnn_embedding_dim"] = 16
sample_config["gnn_hidden_dim"] = 32
sample_config["gnn_num_layers"] = 2
sample_config["gnn_epochs_per_round"] = 1
sample_config["num_rounds"] = 2
sample_config["local_epochs"] = 1
config = SimulationConfig(**sample_config)
events = []
def progress_callback(sim_id: str, event_type: str, data: dict[str, Any]) -> None:
events.append((event_type, data))
try:
simulation = simulation_service.run_simulation(config, progress_callback=progress_callback)
assert simulation.status == SimulationStatus.COMPLETED
event_types = [e[0] for e in events]
assert "gnn_round_start" in event_types
assert "gnn_round_complete" in event_types
# Ensure embeddings are synchronized and accessible via stats
from app.presentation.routers import graph
stats = graph._graph_embedding_service.get_embedding_stats()
assert stats["num_embedded_nodes"] == 9
assert stats["embedding_dim"] == 16
assert stats["model_parameters"] > 0
finally:
from app.application.services.graph_embedding_service import GraphEmbeddingService
from app.presentation.routers import graph
graph._graph_embedding_service = GraphEmbeddingService(
graph_engine=graph._graph_engine, embedding_dim=64
)
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