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| 1 | +# Copyright 2025-2026 Dimensional Inc. |
| 2 | +# |
| 3 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | +# you may not use this file except in compliance with the License. |
| 5 | +# You may obtain a copy of the License at |
| 6 | +# |
| 7 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 8 | +# |
| 9 | +# Unless required by applicable law or agreed to in writing, software |
| 10 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | +# See the License for the specific language governing permissions and |
| 13 | +# limitations under the License. |
| 14 | + |
| 15 | +from __future__ import annotations |
| 16 | + |
| 17 | +from collections.abc import Callable |
| 18 | +from typing import Any, TypeVar |
| 19 | + |
| 20 | +import numpy as np |
| 21 | + |
| 22 | +from dimos.control.safety.guardrail_policy import ( |
| 23 | + GuardrailDecision, |
| 24 | + GuardrailHealth, |
| 25 | + GuardrailState, |
| 26 | +) |
| 27 | +from dimos.core.stream import Out, Transport |
| 28 | +from dimos.msgs.geometry_msgs.Twist import Twist |
| 29 | +from dimos.msgs.sensor_msgs.Image import Image, ImageFormat |
| 30 | + |
| 31 | +T = TypeVar("T") |
| 32 | + |
| 33 | + |
| 34 | +class FakeTransport(Transport[T]): |
| 35 | + def __init__(self) -> None: |
| 36 | + self._subscribers: list[Callable[[T], Any]] = [] |
| 37 | + |
| 38 | + def start(self) -> None: |
| 39 | + pass |
| 40 | + |
| 41 | + def stop(self) -> None: |
| 42 | + pass |
| 43 | + |
| 44 | + def broadcast(self, selfstream: Out[T] | None, value: T) -> None: |
| 45 | + for callback in list(self._subscribers): |
| 46 | + callback(value) |
| 47 | + |
| 48 | + def subscribe( |
| 49 | + self, |
| 50 | + callback: Callable[[T], Any], |
| 51 | + selfstream=None, # type: ignore[no-untyped-def] |
| 52 | + ) -> Callable[[], None]: |
| 53 | + self._subscribers.append(callback) |
| 54 | + |
| 55 | + def unsubscribe() -> None: |
| 56 | + self._subscribers.remove(callback) |
| 57 | + |
| 58 | + return unsubscribe |
| 59 | + |
| 60 | + |
| 61 | +class SequencePolicy: |
| 62 | + def __init__(self, decisions: list[GuardrailDecision]) -> None: |
| 63 | + self._decisions = decisions |
| 64 | + self._index = 0 |
| 65 | + |
| 66 | + def evaluate( |
| 67 | + self, |
| 68 | + previous_image: Image, |
| 69 | + current_image: Image, |
| 70 | + incoming_cmd_vel: Twist, |
| 71 | + health: GuardrailHealth, |
| 72 | + ) -> GuardrailDecision: |
| 73 | + if self._index < len(self._decisions): |
| 74 | + decision = self._decisions[self._index] |
| 75 | + self._index += 1 |
| 76 | + return decision |
| 77 | + return self._decisions[-1] |
| 78 | + |
| 79 | + |
| 80 | +def _textured_gray_image(*, width: int = 160, height: int = 120, shift_x: int = 0) -> Image: |
| 81 | + yy, xx = np.indices((height, width)) |
| 82 | + pattern = ((xx * 5 + yy * 9 + shift_x * 17) % 256).astype(np.uint8) |
| 83 | + return Image.from_numpy(pattern, format=ImageFormat.GRAY) |
| 84 | + |
| 85 | + |
| 86 | +def _cmd( |
| 87 | + x: float = 0.35, |
| 88 | + *, |
| 89 | + linear_y: float = 0.0, |
| 90 | + angular_z: float = 0.25, |
| 91 | +) -> Twist: |
| 92 | + return Twist( |
| 93 | + linear=[x, linear_y, 0.0], |
| 94 | + angular=[0.0, 0.0, angular_z], |
| 95 | + ) |
| 96 | + |
| 97 | + |
| 98 | +def _decision( |
| 99 | + state: GuardrailState, |
| 100 | + cmd_vel: Twist, |
| 101 | + *, |
| 102 | + reason: str = "test", |
| 103 | + publish_immediately: bool = False, |
| 104 | +) -> GuardrailDecision: |
| 105 | + return GuardrailDecision( |
| 106 | + state=state, |
| 107 | + cmd_vel=cmd_vel, |
| 108 | + reason=reason, |
| 109 | + publish_immediately=publish_immediately, |
| 110 | + ) |
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