Source code for eclypse.policies.failure.resource_exhaustion

"""Resource exhaustion policy."""

from __future__ import annotations

from typing import TYPE_CHECKING

from eclypse.policies._filters import (
    apply_numeric_transform,
    clamp,
)
from eclypse.policies._helpers import validate_probability

if TYPE_CHECKING:
    from eclypse.graph.asset_graph import AssetGraph
    from eclypse.policies._filters import (
        EdgeFilter,
        NodeFilter,
    )
    from eclypse.utils.types import UpdatePolicy


[docs] def resource_exhaustion( probability: float = 1.0, *, factor: float = 0.5, minimum: float = 0.0, node_assets: str | list[str] | None = None, edge_assets: str | list[str] | None = None, node_ids: list[str] | None = None, node_filter: NodeFilter | None = None, edge_ids: list[tuple[str, str]] | None = None, edge_filter: EdgeFilter | None = None, ) -> UpdatePolicy: """Reduce selected capacity-like assets according to ``factor``. Args: probability (float): Per-asset probability of applying the reduction. factor (float): Multiplicative reduction factor. minimum (float): Lower bound after reduction. node_assets (str | list[str] | None): Optional node asset key selector. edge_assets (str | list[str] | None): Optional edge asset key selector. node_ids (list[str] | None): Optional explicit node identifiers to mutate. node_filter (NodeFilter | None): Optional predicate receiving ``(node_id, data)``. edge_ids (list[tuple[str, str]] | None): Optional explicit edge identifiers to mutate. edge_filter (EdgeFilter | None): Optional predicate receiving ``(source, target, data)``. Returns: Policy that reduces selected numeric assets. """ validate_probability("probability", probability) if factor < 0: raise ValueError("factor must be non-negative.") if node_assets is None and edge_assets is None: raise ValueError("At least one of node_assets or edge_assets must be provided.") def policy(graph: AssetGraph): def transform(_key: str, current: float) -> float: if graph.rnd.random() >= probability: return current return clamp(current * factor, lower=minimum) apply_numeric_transform( graph, node_assets=node_assets, edge_assets=edge_assets, node_ids=node_ids, node_filter=node_filter, edge_ids=edge_ids, edge_filter=edge_filter, transform=transform, ) graph.logger.trace("Applied resource_exhaustion policy.") return policy