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| """Closed, actor-safe action-validation data; no simulator or model imports. | |
| An issue describes only a deterministic input rejection. It must never carry | |
| native exceptions, task state, response text, credentials or unknown outcomes. | |
| The service, policy and trusted driver may share this DTO without sharing | |
| control authority. Raising ``ActionRejected`` promises that the rejected | |
| vector itself has not executed; previously acknowledged prefix controls remain | |
| real and are accounted for separately by the driver. | |
| """ | |
| from __future__ import annotations | |
| import math | |
| from dataclasses import dataclass | |
| from numbers import Real | |
| from typing import TYPE_CHECKING, ClassVar | |
| if TYPE_CHECKING: | |
| from benchkit.contracts import ActionSpec | |
| class ValidationIssue: | |
| """Bounded public explanation of an invalid input, never raw error text. | |
| ``action_index`` is an optional zero-based component index within the named | |
| field. ``limit`` is a single violated/required bound, not a hidden-state | |
| value or an arbitrary container. Nonfinite or wrong-type input values are | |
| represented by ``actual=None`` rather than copied into the feedback. | |
| """ | |
| code: str | |
| field: str = "action" | |
| actual: int | float | None = None | |
| limit: int | float | None = None | |
| action_index: int | None = None | |
| CODES: ClassVar[frozenset[str]] = frozenset({ | |
| "invalid_json", "unexpected_fields", "invalid_type", "invalid_length", | |
| "non_finite", "out_of_bounds", "quaternion_not_unit", | |
| "translation_limit", "rotation_limit", "gripper_binary_required", | |
| "invalid_stop", "invalid_action", | |
| }) | |
| FIELDS: ClassVar[frozenset[str]] = frozenset({ | |
| "action", "response", "steps", "memory", "note", "safety_stop", | |
| "left", "right", "left.pose", "right.pose", | |
| "left.opening", "right.opening", "left.translation_m", | |
| "right.translation_m", "left.rotation_rad", "right.rotation_rad", | |
| "left.quaternion_norm", "right.quaternion_norm", | |
| }) | |
| MAX_ACTION_INDEX: ClassVar[int] = 2**31 - 1 | |
| KEYS: ClassVar[frozenset[str]] = frozenset({ | |
| "code", "field", "actual", "limit", "action_index", | |
| }) | |
| def __post_init__(self) -> None: | |
| if type(self.code) is not str or self.code not in self.CODES: | |
| raise ValueError("unknown validation issue code") | |
| if type(self.field) is not str or self.field not in self.FIELDS: | |
| raise ValueError("unsupported validation issue field") | |
| for name in ("actual", "limit"): | |
| value = getattr(self, name) | |
| if value is None: | |
| continue | |
| if type(value) not in (int, float): | |
| raise ValueError("validation issue values must be finite numbers or null") | |
| try: | |
| finite = math.isfinite(value) | |
| except OverflowError: | |
| finite = False | |
| if not finite: | |
| raise ValueError("validation issue values must be finite numbers or null") | |
| if self.action_index is not None and ( | |
| type(self.action_index) is not int | |
| or not 0 <= self.action_index <= self.MAX_ACTION_INDEX | |
| ): | |
| raise ValueError("validation issue component index is invalid") | |
| def to_dict(self) -> dict: | |
| return {"code": self.code, "field": self.field, "actual": self.actual, | |
| "limit": self.limit, "action_index": self.action_index} | |
| def from_dict(cls, value: dict) -> "ValidationIssue": | |
| if type(value) is not dict or "code" not in value or set(value) - cls.KEYS: | |
| raise ValueError("validation issue must contain only supported fields") | |
| return cls(**value) | |
| def validate_action_vector(spec: "ActionSpec", values) -> tuple[float, ...]: | |
| """Validate the generic ActionSpec contract without executing any control. | |
| Only known input shape/type/finite/bound failures become typed rejections. | |
| No broad exception handler reclassifies infrastructure or adapter failures. | |
| Semantic validators such as quaternion checks remain benchmark-owned. | |
| """ | |
| # Lazy import avoids contracts -> validation -> errors -> contracts cycles. | |
| from benchkit.errors import ActionRejected | |
| if not isinstance(values, (list, tuple)): | |
| raise ActionRejected(ValidationIssue("invalid_type")) | |
| if len(values) != spec.size: | |
| raise ActionRejected(ValidationIssue("invalid_length", actual=len(values), limit=spec.size)) | |
| normalized = [] | |
| for index, value in enumerate(values): | |
| if isinstance(value, bool) or not isinstance(value, Real): | |
| raise ActionRejected(ValidationIssue("invalid_type", action_index=index)) | |
| try: | |
| number = float(value) | |
| except OverflowError: | |
| raise ActionRejected(ValidationIssue("non_finite", action_index=index)) from None | |
| if not math.isfinite(number): | |
| raise ActionRejected(ValidationIssue("non_finite", action_index=index)) | |
| if spec.low is not None and spec.high is not None: | |
| if number < spec.low[index]: | |
| raise ActionRejected(ValidationIssue("out_of_bounds", actual=number, | |
| limit=spec.low[index], action_index=index)) | |
| if number > spec.high[index]: | |
| raise ActionRejected(ValidationIssue("out_of_bounds", actual=number, | |
| limit=spec.high[index], action_index=index)) | |
| normalized.append(number) | |
| return tuple(normalized) | |