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Pydantic models for the SRE Incident Response OpenEnv environment.
"""
from enum import Enum
from typing import Dict, List, Optional
from pydantic import BaseModel, Field
# ── Enums ──────────────────────────────────────────────────────────────
class ServiceStatus(str, Enum):
HEALTHY = "HEALTHY"
DEGRADED = "DEGRADED"
DOWN = "DOWN"
class ActionType(str, Enum):
# Investigation (read-only)
READ_LOGS = "read_logs"
CHECK_METRICS = "check_metrics"
PING_SERVICE = "ping_service"
CHECK_DEPENDENCIES = "check_dependencies"
INSPECT_DEPLOY = "inspect_deploy"
QUERY_TRACES = "query_traces"
CHECK_RUNBOOK = "check_runbook"
DIFF_CONFIG = "diff_config"
# Remediation (modifies state)
RESTART_SERVICE = "restart_service"
ROLLBACK_DEPLOY = "rollback_deploy"
SCALE_UP = "scale_up"
DRAIN_TRAFFIC = "drain_traffic"
# Terminal
SUBMIT_DIAGNOSIS = "submit_diagnosis"
class RootCauseCategory(str, Enum):
OOM_CRASH = "oom_crash"
DB_DEADLOCK = "db_deadlock"
BAD_DEPLOY = "bad_deploy"
MEMORY_LEAK = "memory_leak"
NETWORK_PARTITION = "network_partition"
DISK_FULL = "disk_full"
CONFIG_ERROR = "config_error"
CERT_EXPIRY = "cert_expiry"
DNS_FAILURE = "dns_failure"
RATE_LIMIT = "rate_limit"
INVESTIGATION_ACTIONS = {
ActionType.READ_LOGS,
ActionType.CHECK_METRICS,
ActionType.PING_SERVICE,
ActionType.CHECK_DEPENDENCIES,
ActionType.INSPECT_DEPLOY,
ActionType.QUERY_TRACES,
ActionType.CHECK_RUNBOOK,
ActionType.DIFF_CONFIG,
}
REMEDIATION_ACTIONS = {
ActionType.RESTART_SERVICE,
ActionType.ROLLBACK_DEPLOY,
ActionType.SCALE_UP,
ActionType.DRAIN_TRAFFIC,
}
# ── Action ─────────────────────────────────────────────────────────────
class Action(BaseModel):
action_type: ActionType
service: Optional[str] = None
target_version: Optional[str] = None
replicas: Optional[int] = Field(None, ge=1, le=10)
root_cause_service: Optional[str] = None
root_cause_category: Optional[RootCauseCategory] = None
fix_description: Optional[str] = None
# ── Observation ────────────────────────────────────────────────────────
class ServiceState(BaseModel):
status: ServiceStatus
version: str = ""
replicas: int = 1
class Observation(BaseModel):
step_number: int = 0
timestamp: str = ""
services: Dict[str, ServiceState] = Field(default_factory=dict)
active_alerts: List[str] = Field(default_factory=list)
incident_summary: str = ""
action_result: Optional[str] = None
reward: float = 0.0
done: bool = False
score: Optional[float] = None
info: Dict = Field(default_factory=dict)
# ── State ──────────────────────────────────────────────────────────────
class State(BaseModel):
session_id: str = ""
task_id: str = ""
step_count: int = 0
max_steps: int = 0
done: bool = False
actions_taken: List[str] = Field(default_factory=list)
services_investigated: List[str] = Field(default_factory=list)
remediations_applied: List[str] = Field(default_factory=list)
cumulative_reward: float = 0.0
# ── Reward ─────────────────────────────────────────────────────────────
class Reward(BaseModel):
value: float = Field(0.0, ge=0.0, le=1.0)
step_reward: float = 0.0
breakdown: Dict[str, float] = Field(default_factory=dict)
is_terminal: bool = False
# ── Grader Result ──────────────────────────────────────────────────────
class GraderResult(BaseModel):
score: float = Field(..., ge=0.0, le=1.0)
solved: bool = False
breakdown: Dict[str, float] = Field(default_factory=dict)
notes: List[str] = Field(default_factory=list)
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