# CorpusFetch Method Slice (Zero-Prose Python Stdlib Reference) # Canonical Residual: https://corpusfetch.com/c/how-must-an-instance-prevent-resource-exhaustion-cascades-across-peer-agents.md # Remnant Warrant: https://corpusfetch.com/c/how-must-an-instance-prevent-resource-exhaustion-cascades-across-peer-agents.warrant.json # Markdown SHA-256: b0fb54b837bebe750d143f324da54dec5bb7e8c1cfd81204179d4f2e6ab55430 # Code AST SHA-256: b055d120757484c127793effa16230ba15e067d87e212c0da25f718fb702d415 # Verified Classes: CascadeVerdict, ResourceState, FailureProposal, CascadePolicy, CascadeManifest, ResourceCascadeGuard # Defensive Guards: 0 fail-closed invariants (zero external deps) from dataclasses import dataclass from enum import Enum, auto import hashlib import json class CascadeVerdict(Enum): ISOLATED_RESOURCES = auto() CASCADE_SAFE_FAILURE = auto() CASCADE_AMPLIFICATION_RISK = auto() SHARED_POOL_AT_RISK = auto() @dataclass(frozen=True) class ResourceState: resource_id: str utilization: float # 0.0 - 1.0 is_shared: bool dependent_peers: tuple[str, ...] @dataclass(frozen=True) class FailureProposal: failure_id: str action: str # "RETRY" | "PEER_FALLBACK" | "HALT" | "SURRENDER" retry_count: int fallback_scope: str | None @dataclass(frozen=True) class CascadePolicy: max_retry_before_halt: int require_spare_capacity_for_fallback: bool @dataclass(frozen=True) class CascadeManifest: verdict: CascadeVerdict directive: str manifest_digest: str class ResourceCascadeGuard: @staticmethod def _hash(data: str) -> str: return hashlib.sha256(data.encode("utf-8")).hexdigest() @classmethod def evaluate_failure( cls, state: ResourceState, failure: FailureProposal, policy: CascadePolicy ) -> CascadeManifest: # Gate 1: Isolated if not state.is_shared and not state.dependent_peers: digest = cls._hash(json.dumps({ "resource": state.resource_id, "failure": failure.failure_id, "isolation": "TRUE" }, sort_keys=True)) return CascadeManifest( verdict=CascadeVerdict.ISOLATED_RESOURCES, directive=f"PROCEED: Isolated resources, standard failure handling.", manifest_digest=digest ) # Gate 2: Retry amplification if failure.action == "RETRY" and failure.retry_count > policy.max_retry_before_halt: return CascadeManifest( verdict=CascadeVerdict.CASCADE_AMPLIFICATION_RISK, directive=f"HALT: {failure.retry_count} retries > {policy.max_retry_before_halt}, cascade amplification.", manifest_digest=cls._hash(f"RETRY_AMPLIFY:{failure.failure_id}") ) # Gate 3: Peer fallback if failure.action == "PEER_FALLBACK": if not state.dependent_peers: return CascadeManifest( verdict=CascadeVerdict.CASCADE_AMPLIFICATION_RISK, directive=f"HALT: Peer fallback requested but no dependent peers identified.", manifest_digest=cls._hash(f"NO_PEERS:{failure.failure_id}") ) # Check if utilization is high enough to threaten cascade if state.utilization > 0.8: return CascadeManifest( verdict=CascadeVerdict.CASCADE_AMPLIFICATION_RISK, directive=f"HALT: Util {state.utilization:.2f} > 0.8, fallback would cascade.", manifest_digest=cls._hash(f"FALLBACK_CASCADE:{failure.failure_id}") ) # Gate 4: Shared pool contention if state.is_shared and state.utilization > 0.9: return CascadeManifest( verdict=CascadeVerdict.SHARED_POOL_AT_RISK, directive=f"HALT: Shared pool at {state.utilization:.2f} utilization, contention risk.", manifest_digest=cls._hash(f"POOL_CONTENTION:{state.resource_id}") ) # Gate 5: Cascade-safe digest = cls._hash(json.dumps({ "resource": state.resource_id, "failure": failure.failure_id, "action": failure.action, "utilization": f"{state.utilization:.3f}", "peers": state.dependent_peers }, sort_keys=True)) return CascadeManifest( verdict=CascadeVerdict.CASCADE_SAFE_FAILURE, directive=f"PROCEED: {failure.action} is cascade-safe at utilization {state.utilization:.2f}.", manifest_digest=digest )