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from typing import Optional, Dict, Any, List
from server.models.action import IncidentAction
from server.models.observation import IncidentObservation, ServiceMetrics, DependencyEdge, Alert, LogEntry
from server.simulation.scenarios.base_scenario import BaseScenario
from server.simulation.topology import ENTERPRISE_TOPOLOGY
from server.safety.guard import SafetyGuard, ValidationResult
class StateEngine:
def __init__(self, scenario: BaseScenario, seed: int = 42):
self.rng = random.Random(seed)
self.scenario = scenario
self.step_count = 0
self.simulated_time = 0.0
self.action_history: List[Dict] = []
self.safety_guard = SafetyGuard()
self.current_state: Dict[str, Any] = {}
def tick(self, action: Optional[IncidentAction] = None) -> IncidentObservation:
if self.step_count == 0:
self.current_state = self.scenario.get_initial_state()
state = self.current_state
state["step"] = self.step_count
state["elapsed_seconds"] = self.simulated_time
if action:
validation = self.safety_guard.validate(action, state)
if validation.allowed:
self._apply_action_effects(action, state)
state["actions_taken"] = state.get("actions_taken", 0) + 1
self.safety_guard.audit_log_entry(action, validation, state)
else:
# Log blocked action
self.safety_guard.audit_log_entry(action, validation, state)
state["safety_violations"] = state.get("safety_violations", 0) + 1
self._propagate_failures(state)
self._evolve_metrics(state)
self._generate_alerts_and_logs(state)
self._recalculate_blast_radius(state)
self.step_count += 1
self.simulated_time += 60.0 # 60 seconds per step
return self._build_observation(state, action)
def _get_current_state(self) -> Dict[str, Any]:
# Return persisted state, or regenerate if not yet initialized
return self.current_state if self.current_state else self.scenario.get_initial_state()
def _apply_action_effects(self, action: IncidentAction, state: Dict[str, Any]) -> None:
"""Apply action effects to the state. Maps each action_type to state mutations."""
if action.action_type == "restart_service":
for sm in state["service_metrics"]:
if sm.service == action.target_service:
sm.status = "recovering"
sm.error_rate = max(0, sm.error_rate - 0.5)
break
elif action.action_type == "inspect_logs":
# Diagnostic action - no state effect, but logged for grading
pass
elif action.action_type == "pull_metrics":
# Diagnostic action - no state effect
pass
elif action.action_type == "trace_dependency_chain":
# Diagnostic action - used for analysis
pass
elif action.action_type == "check_deploy_history":
# Diagnostic action - mark that we've checked deployments
state["deploy_history_checked"] = state.get("deploy_history_checked", {})
state["deploy_history_checked"][action.target_service] = True
elif action.action_type == "query_runbook":
# Diagnostic action - no state effect
pass
elif action.action_type == "check_alert_history":
# Diagnostic action - no state effect
pass
elif action.action_type == "analyze_error_budget":
# Diagnostic action - no state effect
pass
elif action.action_type == "acknowledge_alert":
# Mark alert as acknowledged
for alert in state.get("active_alerts", []):
if alert.service == action.target_service:
alert.is_acknowledged = True
elif action.action_type == "scale_up_replicas":
# Increase replica count and reduce per-replica load
replica_delta = action.parameters.get("replica_count", 1)
for sm in state["service_metrics"]:
if sm.service == action.target_service:
sm.replica_count = max(1, sm.replica_count + replica_delta)
sm.cpu_percent = max(10, sm.cpu_percent * 0.7)
sm.latency_p99_ms *= 0.8
break
elif action.action_type == "rollback_deployment":
# Reduce error rate as we revert to stable version
for sm in state["service_metrics"]:
if sm.service == action.target_service:
sm.error_rate = max(0, sm.error_rate - 0.4)
sm.status = "recovering"
break
elif action.action_type == "toggle_feature_flag":
# Disable problematic feature, reducing errors
feature = action.parameters.get("feature_name", "unknown")
for sm in state["service_metrics"]:
if sm.service == action.target_service:
sm.error_rate = max(0, sm.error_rate - 0.3)
break
elif action.action_type == "flush_cache":
# Cache flush causes temporary miss spike, then recovery
for sm in state["service_metrics"]:
if sm.service == action.target_service:
sm.status = "degraded"
sm.latency_p99_ms *= 2 # Temporary spike
state["cache_flushed_services"] = state.get("cache_flushed_services", set())
state["cache_flushed_services"].add(action.target_service)
break
elif action.action_type == "increase_conn_pool":
# Increase database connection pool
pool_size = action.parameters.get("pool_size", 50)
for sm in state["service_metrics"]:
if sm.service == action.target_service:
sm.db_conn_pool_utilization = max(0, (sm.db_conn_pool_utilization or 0.5) - 0.2)
break
elif action.action_type == "drain_traffic":
# Remove service from load balancer (all traffic rerouted)
for sm in state["service_metrics"]:
if sm.service == action.target_service and sm.service != "haproxy-lb":
sm.status = "drained"
sm.rps = 0
break
elif action.action_type == "restore_traffic":
# Restore traffic to service
for sm in state["service_metrics"]:
if sm.service == action.target_service:
sm.status = "healthy" if sm.error_rate < 0.1 else "degraded"
sm.rps = 100 # Restored to baseline
break
elif action.action_type == "trigger_failover":
# Database failover - brief unavailability then recovery
for sm in state["service_metrics"]:
if sm.service == action.target_service:
sm.status = "recovering"
sm.error_rate = 0.2 # Temporary spike during failover
break
elif action.action_type == "publish_status_page":
# Communication action - no direct state effect
pass
elif action.action_type == "declare_incident_resolved":
# Terminal action - marks episode for scoring
state["incident_declared_resolved"] = True
elif action.action_type == "request_human_escalation":
# Terminal action - escalation penalty applied but episode continues
state["escalation_requested"] = True
def _propagate_failures(self, state: Dict[str, Any]) -> None:
# Simplified cascade
failing_services = [sm.service for sm in state["service_metrics"] if sm.status in ("critical", "down")]
for sm in state["service_metrics"]:
if any(dep in failing_services for dep in ENTERPRISE_TOPOLOGY[sm.service]["depends_on"]):
sm.error_rate = min(1.0, sm.error_rate + 0.3)
def _evolve_metrics(self, state: Dict[str, Any]) -> None:
for sm in state["service_metrics"]:
# Add noise
sm.error_rate = max(0, min(1, sm.error_rate + self.rng.uniform(-0.01, 0.01)))
sm.latency_p99_ms += self.rng.uniform(-5, 5)
def _generate_alerts_and_logs(self, state: Dict[str, Any]) -> None:
# Simplified
pass
def _recalculate_blast_radius(self, state: Dict[str, Any]) -> float:
# Simplified
failing = sum(1 for sm in state["service_metrics"] if sm.status != "healthy")
state["blast_radius"] = min(1.0, failing / len(state["service_metrics"]))
def _build_observation(self, state: Dict[str, Any], action: Optional[IncidentAction] = None) -> IncidentObservation:
return IncidentObservation(
episode_id=state["episode_id"],
task_id="task1_oom_crash", # Hardcoded for now
step=state["step"],
elapsed_seconds=state["elapsed_seconds"],
max_steps=state["max_steps"],
blast_radius=state["blast_radius"],
error_budget_burn_rate=state["error_budget_burn_rate"],
estimated_revenue_loss_usd=state["blast_radius"] * 100000, # Simplified
active_user_sessions_impacted=int(state["blast_radius"] * 10000),
active_alerts=state["active_alerts"],
new_alerts_this_step=[],
service_metrics=state["service_metrics"],
recent_logs=[],
logs_this_step=[],
dependency_graph=state["dependency_graph"],
last_action_result="Action applied" if action else None,
last_action_success=True if action else None,
actions_taken=state.get("actions_taken", 0),
available_actions=["inspect_logs", "restart_service"], # Simplified
safety_violations_this_episode=state.get("safety_violations", 0),
rate_limit_remaining=30 - state.get("actions_taken", 0)
) |