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chore: import upstream snapshot with attribution
2026-07-13 12:43:05 +08:00

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"""
Disruption injection for P4 / P7 / P8 / P9 / P10.
Each REALM task instance may carry a ``disruption_scenarios`` list copied
from the upstream JSON. This module applies a single disruption to the
live instance state mid-run and returns the modified instance, so the
agent harness can re-prompt the agent with the new constraints and
record a replanning attempt.
The supported disruption types mirror upstream
``evaluation/task_definitions.DisruptionType``:
machine_breakdown P11/P10 disable machine for ``duration``
traffic_delay P4 add delay to a route
road_closure P4/P8 remove a route entirely for ``duration``
flight_delay P9 delay a flight arrival
resource_shortage P7/P10 reduce a resource by ``shortage`` ratio
weather_event P7 block transport to a region
"""
from __future__ import annotations
import copy
import logging
from dataclasses import dataclass
from typing import Any
logger = logging.getLogger(__name__)
@dataclass
class Disruption:
type: str
payload: dict[str, Any]
@classmethod
def from_dict(cls, raw: dict[str, Any]) -> "Disruption":
t = raw.get("type")
if hasattr(t, "value"): # upstream Enum
t = t.value # type: ignore[union-attr]
return cls(type=str(t or "unknown"), payload=dict(raw))
def apply_disruption(instance: dict[str, Any], disruption: Disruption) -> dict[str, Any]:
"""Return a deep-copied instance with the disruption applied.
Falls back to "no change" + a logged warning for unknown disruption
types, which keeps the runner resilient to upstream schema drift.
"""
new_instance = copy.deepcopy(instance)
t = disruption.type
p = disruption.payload
if t == "machine_breakdown":
# Mark a machine offline for ``duration`` time units.
mid = p.get("machine_id")
duration = p.get("duration", 0)
downtime = new_instance.setdefault("machine_downtime", {})
downtime[str(mid)] = downtime.get(str(mid), 0) + duration
elif t == "traffic_delay":
# Add delay to a single route in ``distances`` / ``travel_times``.
route = p.get("route")
delay = p.get("delay", 0)
for field in ("distances", "travel_times"):
d = new_instance.get(field)
if isinstance(d, dict) and route in d:
d[route] = d[route] + delay
rev = "-".join(reversed(route.split("-")))
if rev in d:
d[rev] = d[rev] + delay
elif t == "road_closure":
# Remove a route from the distance / travel_time matrix.
route = p.get("route")
for field in ("distances", "travel_times"):
d = new_instance.get(field)
if isinstance(d, dict) and route in d:
d[route] = float("inf")
rev = "-".join(reversed(route.split("-")))
if rev in d:
d[rev] = float("inf")
closed = new_instance.setdefault("blocked_routes", [])
if route not in closed:
closed.append(route)
elif t == "flight_delay":
flight = p.get("flight")
delay = p.get("delay", 0)
flights = new_instance.get("flight_schedules") or new_instance.get("constraints", {}).get(
"flights"
)
if isinstance(flights, dict) and flight in flights:
# Best-effort: append "+Nm" annotation so the agent prompt
# carries the disruption forward. Numeric times left intact
# because schedules are typically HH:MM strings here.
flights[flight] = f"{flights[flight]} (+{delay}min)"
new_instance.setdefault("flight_delays", []).append({"flight": flight, "delay": delay})
elif t == "resource_shortage":
resource = p.get("resource") or p.get("component")
shortage = float(p.get("shortage", 0))
# P7-style: ``resources`` is a dict of name->amount.
resources = new_instance.get("resources")
if isinstance(resources, dict) and resource in resources:
resources[resource] = resources[resource] * (1.0 - shortage)
# P10-style: ``suppliers[i].capacity`` for a component.
for sup in new_instance.get("suppliers", []) or []:
if "capacity" in sup:
sup["capacity"] = int(sup["capacity"] * (1.0 - shortage))
elif t == "weather_event":
region = p.get("region")
for r in new_instance.get("regions", []) or []:
if r.get("id") == region:
r["transport_blocked"] = True
else:
logger.warning("[disruption] Unknown type %r; passing through", t)
new_instance.setdefault("applied_disruptions", []).append({"type": t, **p})
return new_instance
def first_disruption(instance: dict[str, Any]) -> Disruption | None:
"""Return the first disruption scenario from the instance, if any."""
raw = instance.get("disruption_scenarios") or []
if not raw:
return None
return Disruption.from_dict(raw[0])