chore: remove accidentally committed __pycache__ dirs

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

jetson/ros2_ws/src/saltybot_person_reid/config/person_reid_params.yaml

@@ -0,0 +1,6 @@
+person_reid:
+  ros__parameters:
+    model_path: ''            # path to MobileNetV2+projection ONNX file (empty = histogram fallback)
+    match_threshold: 0.75     # cosine similarity threshold for re-ID match
+    max_identity_age_s: 300.0 # seconds before unseen identity is pruned
+    publish_hz: 5.0           # publication rate (Hz)

jetson/ros2_ws/src/saltybot_person_reid/package.xml

@@ -0,0 +1,28 @@
+<?xml version="1.0"?>
+<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
+<package format="3">
+  <name>saltybot_person_reid</name>
+  <version>0.1.0</version>
+  <description>
+    Person re-identification node — cross-camera appearance matching using
+    MobileNetV2 ONNX embeddings (128-dim, cosine similarity gallery).
+  </description>
+  <maintainer email="robot@saltylab.local">SaltyLab</maintainer>
+  <license>MIT</license>
+
+  <depend>rclpy</depend>
+  <depend>sensor_msgs</depend>
+  <depend>vision_msgs</depend>
+  <depend>cv_bridge</depend>
+  <depend>message_filters</depend>
+  <depend>saltybot_person_reid_msgs</depend>
+
+  <exec_depend>python3-numpy</exec_depend>
+  <exec_depend>python3-opencv</exec_depend>
+
+  <test_depend>pytest</test_depend>
+
+  <export>
+    <build_type>ament_python</build_type>
+  </export>
+</package>

jetson/ros2_ws/src/saltybot_person_reid/saltybot_person_reid/_embedding_model.py

@@ -0,0 +1,95 @@
+"""
+_embedding_model.py — Appearance embedding extractor (no ROS2 deps).
+
+Primary:  MobileNetV2 ONNX torso crop → 128-dim L2-normalised embedding.
+Fallback: 128-bin HSV histogram (H:16 × S:8) when no model file is available.
+"""
+
+from __future__ import annotations
+
+import numpy as np
+import cv2
+
+# Top fraction of the bounding box height used as torso crop
+_INPUT_SIZE = (128, 256)   # (W, H) fed to MobileNetV2
+
+
+class EmbeddingModel:
+    """
+    Extract a 128-dim L2-normalised appearance embedding from a BGR crop.
+
+    Parameters
+    ----------
+    model_path : str or None
+        Path to a MobileNetV2+projection ONNX file.  When None (or file
+        not found), falls back to a 128-bin HSV colour histogram.
+    """
+
+    def __init__(self, model_path: str | None = None):
+        self._net = None
+        if model_path:
+            try:
+                self._net = cv2.dnn.readNetFromONNX(model_path)
+            except Exception:
+                pass  # histogram fallback
+
+    def embed(self, bgr_crop: np.ndarray) -> np.ndarray:
+        """
+        Parameters
+        ----------
+        bgr_crop : np.ndarray  shape (H, W, 3) uint8
+
+        Returns
+        -------
+        np.ndarray  shape (128,) float32, L2-normalised
+        """
+        if bgr_crop.size == 0:
+            return np.zeros(128, dtype=np.float32)
+
+        if self._net is not None:
+            return self._mobilenet_embed(bgr_crop)
+        return self._histogram_embed(bgr_crop)
+
+    # ── MobileNetV2 path ──────────────────────────────────────────────────────
+
+    def _mobilenet_embed(self, bgr: np.ndarray) -> np.ndarray:
+        resized = cv2.resize(bgr, _INPUT_SIZE)
+        blob = cv2.dnn.blobFromImage(
+            resized,
+            scalefactor=1.0 / 255.0,
+            size=_INPUT_SIZE,
+            mean=(0.485 * 255, 0.456 * 255, 0.406 * 255),
+            swapRB=True,
+            crop=False,
+        )
+        # Std normalisation: divide channel-wise
+        blob[:, 0] /= 0.229
+        blob[:, 1] /= 0.224
+        blob[:, 2] /= 0.225
+
+        self._net.setInput(blob)
+        feat = self._net.forward().flatten().astype(np.float32)
+
+        # Ensure 128-dim — average-pool if model output differs
+        if feat.shape[0] != 128:
+            n = feat.shape[0]
+            block = max(1, n // 128)
+            feat = feat[: block * 128].reshape(128, block).mean(axis=1)
+
+        return _l2_norm(feat)
+
+    # ── HSV histogram fallback ────────────────────────────────────────────────
+
+    def _histogram_embed(self, bgr: np.ndarray) -> np.ndarray:
+        """128-bin HSV histogram: 16 H-bins × 8 S-bins, concatenated."""
+        hsv = cv2.cvtColor(bgr, cv2.COLOR_BGR2HSV)
+        hist = cv2.calcHist(
+            [hsv], [0, 1], None,
+            [16, 8], [0, 180, 0, 256],
+        ).flatten().astype(np.float32)
+        return _l2_norm(hist)
+
+
+def _l2_norm(v: np.ndarray) -> np.ndarray:
+    n = float(np.linalg.norm(v))
+    return v / n if n > 1e-6 else v

jetson/ros2_ws/src/saltybot_person_reid/saltybot_person_reid/_reid_gallery.py

@@ -0,0 +1,105 @@
+"""
+_reid_gallery.py — Appearance gallery for person re-identification (no ROS2 deps).
+
+Matches an incoming embedding against stored identities using cosine similarity.
+New identities are created when the best match falls below the threshold.
+"""
+
+from __future__ import annotations
+
+import time
+from dataclasses import dataclass, field
+from typing import List, Tuple
+
+import numpy as np
+
+
+@dataclass
+class Identity:
+    identity_id: int
+    embedding: np.ndarray          # shape (D,) L2-normalised
+    last_seen: float = field(default_factory=time.monotonic)
+    hit_count: int = 1
+
+    def update(self, new_embedding: np.ndarray, alpha: float = 0.1) -> None:
+        """EMA update of the stored embedding, re-normalised after blending."""
+        merged = (1.0 - alpha) * self.embedding + alpha * new_embedding
+        n = float(np.linalg.norm(merged))
+        self.embedding = merged / n if n > 1e-6 else merged
+        self.last_seen = time.monotonic()
+        self.hit_count += 1
+
+
+class ReidGallery:
+    """
+    Lightweight cosine-similarity re-ID gallery.
+
+    Parameters
+    ----------
+    match_threshold : float
+        Cosine similarity (dot product of unit vectors) required to accept a
+        match.  Range [0, 1]; 0 = always new identity, 1 = perfect match only.
+    max_age_s : float
+        Identities not seen for this many seconds are pruned.
+    """
+
+    def __init__(
+        self,
+        match_threshold: float = 0.75,
+        max_age_s: float = 300.0,
+    ):
+        self._threshold = match_threshold
+        self._max_age_s = max_age_s
+        self._identities: List[Identity] = []
+        self._next_id = 1
+
+    def match(self, embedding: np.ndarray) -> Tuple[int, float, bool]:
+        """
+        Match embedding against the gallery.
+
+        Returns
+        -------
+        (identity_id, match_score, is_new)
+            identity_id : assigned ID (new or existing)
+            match_score : cosine similarity to best match (0.0 if new)
+            is_new      : True if a new identity was created
+        """
+        self._prune()
+
+        if not self._identities:
+            return self._add_identity(embedding)
+
+        scores = np.array(
+            [float(np.dot(embedding, ident.embedding)) for ident in self._identities]
+        )
+        best_idx = int(np.argmax(scores))
+        best_score = float(scores[best_idx])
+
+        if best_score >= self._threshold:
+            ident = self._identities[best_idx]
+            ident.update(embedding)
+            return ident.identity_id, best_score, False
+
+        return self._add_identity(embedding)
+
+    # ── Internal helpers ──────────────────────────────────────────────────────
+
+    def _add_identity(self, embedding: np.ndarray) -> Tuple[int, float, bool]:
+        new_id = self._next_id
+        self._next_id += 1
+        self._identities.append(
+            Identity(identity_id=new_id, embedding=embedding.copy())
+        )
+        return new_id, 0.0, True
+
+    def _prune(self) -> None:
+        now = time.monotonic()
+        self._identities = [
+            ident
+            for ident in self._identities
+            if now - ident.last_seen < self._max_age_s
+        ]
+
+    @property
+    def size(self) -> int:
+        return len(self._identities)

jetson/ros2_ws/src/saltybot_person_reid/saltybot_person_reid/person_reid_node.py

@@ -0,0 +1,174 @@
+"""
+person_reid_node.py — Person re-identification for cross-camera tracking.
+
+Subscribes to:
+  /person/detections      vision_msgs/Detection2DArray  (person bounding boxes)
+  /camera/color/image_raw sensor_msgs/Image             (colour frame for crops)
+
+Publishes:
+  /saltybot/person_reid   saltybot_person_reid_msgs/PersonAppearanceArray  (5 Hz)
+
+For each detected person the node:
+  1. Crops the torso region (top 65 % of the bounding box height).
+  2. Extracts a 128-dim L2-normalised embedding via MobileNetV2 ONNX (if the
+     model file is provided) or a 128-bin HSV colour histogram (fallback).
+  3. Matches against a cosine-similarity gallery.
+  4. Assigns a persistent identity_id (new or existing).
+
+Parameters:
+  model_path          str    ''      Path to MobileNetV2+projection ONNX file
+  match_threshold     float  0.75    Cosine similarity threshold for matching
+  max_identity_age_s  float  300.0   Seconds before an unseen identity is pruned
+  publish_hz          float  5.0     Publication rate (Hz)
+"""
+
+from __future__ import annotations
+
+from typing import List
+
+import rclpy
+from rclpy.node import Node
+from rclpy.qos import QoSProfile, ReliabilityPolicy, HistoryPolicy
+
+import message_filters
+import cv2
+import numpy as np
+from cv_bridge import CvBridge
+
+from sensor_msgs.msg import Image
+from vision_msgs.msg import Detection2DArray
+
+from saltybot_person_reid_msgs.msg import PersonAppearance, PersonAppearanceArray
+
+from ._embedding_model import EmbeddingModel
+from ._reid_gallery import ReidGallery
+
+# Fraction of bbox height kept as torso crop (top portion)
+_TORSO_FRAC = 0.65
+
+_BEST_EFFORT_QOS = QoSProfile(
+    reliability=ReliabilityPolicy.BEST_EFFORT,
+    history=HistoryPolicy.KEEP_LAST,
+    depth=4,
+)
+
+
+class PersonReidNode(Node):
+
+    def __init__(self):
+        super().__init__('person_reid')
+
+        self.declare_parameter('model_path',         '')
+        self.declare_parameter('match_threshold',    0.75)
+        self.declare_parameter('max_identity_age_s', 300.0)
+        self.declare_parameter('publish_hz',         5.0)
+
+        model_path  = self.get_parameter('model_path').value
+        match_thr   = self.get_parameter('match_threshold').value
+        max_age     = self.get_parameter('max_identity_age_s').value
+        publish_hz  = self.get_parameter('publish_hz').value
+
+        self._bridge   = CvBridge()
+        self._embedder = EmbeddingModel(model_path or None)
+        self._gallery  = ReidGallery(match_threshold=match_thr, max_age_s=max_age)
+
+        # Buffer: updated by frame callback, drained by timer
+        self._pending: List[PersonAppearance] = []
+        self._pending_header = None
+
+        # Synchronized subscribers
+        det_sub = message_filters.Subscriber(
+            self, Detection2DArray, '/person/detections',
+            qos_profile=_BEST_EFFORT_QOS)
+        img_sub = message_filters.Subscriber(
+            self, Image, '/camera/color/image_raw',
+            qos_profile=_BEST_EFFORT_QOS)
+        self._sync = message_filters.ApproximateTimeSynchronizer(
+            [det_sub, img_sub], queue_size=4, slop=0.1)
+        self._sync.registerCallback(self._on_frame)
+
+        self._pub = self.create_publisher(
+            PersonAppearanceArray, '/saltybot/person_reid', 10)
+
+        self.create_timer(1.0 / publish_hz, self._tick)
+
+        backend = 'ONNX' if self._embedder._net else 'histogram'
+        self.get_logger().info(
+            f'person_reid ready — backend={backend} '
+            f'threshold={match_thr} max_age={max_age}s'
+        )
+
+    # ── Frame callback ─────────────────────────────────────────────────────────
+
+    def _on_frame(self, det_msg: Detection2DArray, img_msg: Image) -> None:
+        if not det_msg.detections:
+            self._pending = []
+            self._pending_header = det_msg.header
+            return
+
+        try:
+            bgr = self._bridge.imgmsg_to_cv2(img_msg, desired_encoding='bgr8')
+        except Exception as exc:
+            self.get_logger().error(
+                f'imgmsg_to_cv2 failed: {exc}', throttle_duration_sec=5.0)
+            return
+
+        h_img, w_img = bgr.shape[:2]
+        appearances: List[PersonAppearance] = []
+
+        for det in det_msg.detections:
+            cx  = det.bbox.center.position.x
+            cy  = det.bbox.center.position.y
+            bw  = det.bbox.size_x
+            bh  = det.bbox.size_y
+            conf = det.results[0].hypothesis.score if det.results else 0.0
+
+            # Torso crop: top TORSO_FRAC of bounding box
+            x1 = max(0,      int(cx - bw / 2.0))
+            y1 = max(0,      int(cy - bh / 2.0))
+            x2 = min(w_img,  int(cx + bw / 2.0))
+            y2 = min(h_img,  int(cy - bh / 2.0 + bh * _TORSO_FRAC))
+
+            if x2 - x1 < 8 or y2 - y1 < 8:
+                continue
+
+            crop = bgr[y1:y2, x1:x2]
+            emb  = self._embedder.embed(crop)
+            identity_id, match_score, is_new = self._gallery.match(emb)
+
+            app = PersonAppearance()
+            app.header          = det_msg.header
+            app.track_id        = identity_id
+            app.embedding       = emb.tolist()
+            app.bbox            = det.bbox
+            app.confidence      = float(conf)
+            app.match_score     = float(match_score)
+            app.is_new_identity = is_new
+            appearances.append(app)
+
+        self._pending = appearances
+        self._pending_header = det_msg.header
+
+    # ── 5 Hz publish tick ─────────────────────────────────────────────────────
+
+    def _tick(self) -> None:
+        if self._pending_header is None:
+            return
+        msg = PersonAppearanceArray()
+        msg.header      = self._pending_header
+        msg.appearances = self._pending
+        self._pub.publish(msg)
+
+
+def main(args=None):
+    rclpy.init(args=args)
+    node = PersonReidNode()
+    try:
+        rclpy.spin(node)
+    finally:
+        node.destroy_node()
+        rclpy.shutdown()
+
+
+if __name__ == '__main__':
+    main()

jetson/ros2_ws/src/saltybot_person_reid/setup.cfg

@@ -0,0 +1,4 @@
+[develop]
+script_dir=$base/lib/saltybot_person_reid
+[install]
+install_scripts=$base/lib/saltybot_person_reid

jetson/ros2_ws/src/saltybot_person_reid/setup.py

@@ -0,0 +1,29 @@
+from setuptools import setup, find_packages
+from glob import glob
+
+package_name = 'saltybot_person_reid'
+
+setup(
+    name=package_name,
+    version='0.1.0',
+    packages=find_packages(exclude=['test']),
+    data_files=[
+        ('share/ament_index/resource_index/packages',
+            ['resource/' + package_name]),
+        ('share/' + package_name, ['package.xml']),
+        ('share/' + package_name + '/config',
+            glob('config/*.yaml')),
+    ],
+    install_requires=['setuptools'],
+    zip_safe=True,
+    maintainer='SaltyLab',
+    maintainer_email='robot@saltylab.local',
+    description='Person re-identification — cross-camera appearance matching',
+    license='MIT',
+    tests_require=['pytest'],
+    entry_points={
+        'console_scripts': [
+            'person_reid = saltybot_person_reid.person_reid_node:main',
+        ],
+    },
+)

jetson/ros2_ws/src/saltybot_person_reid/test/test_person_reid.py

@@ -0,0 +1,163 @@
+"""
+test_person_reid.py — Unit tests for person re-ID helpers (no ROS2 required).
+
+Covers:
+  - _l2_norm helper
+  - EmbeddingModel (histogram fallback — no model file needed)
+  - ReidGallery cosine-similarity matching
+"""
+
+import sys
+import os
+import time
+
+import numpy as np
+import pytest
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
+
+from saltybot_person_reid._embedding_model import EmbeddingModel, _l2_norm
+from saltybot_person_reid._reid_gallery import ReidGallery
+
+
+# ── _l2_norm ──────────────────────────────────────────────────────────────────
+
+class TestL2Norm:
+
+    def test_unit_vector_unchanged(self):
+        v = np.array([1.0, 0.0, 0.0], dtype=np.float32)
+        assert np.allclose(_l2_norm(v), v)
+
+    def test_normalised_to_unit_norm(self):
+        v = np.array([3.0, 4.0], dtype=np.float32)
+        assert abs(np.linalg.norm(_l2_norm(v)) - 1.0) < 1e-6
+
+    def test_zero_vector_does_not_crash(self):
+        v = np.zeros(4, dtype=np.float32)
+        result = _l2_norm(v)
+        assert result.shape == (4,)
+
+
+# ── EmbeddingModel ────────────────────────────────────────────────────────────
+
+class TestEmbeddingModel:
+
+    def test_histogram_fallback_shape(self):
+        m = EmbeddingModel(model_path=None)
+        bgr = np.random.randint(0, 255, (100, 50, 3), dtype=np.uint8)
+        emb = m.embed(bgr)
+        assert emb.shape == (128,)
+
+    def test_embedding_is_unit_norm(self):
+        m = EmbeddingModel(model_path=None)
+        bgr = np.random.randint(0, 255, (80, 40, 3), dtype=np.uint8)
+        emb = m.embed(bgr)
+        assert abs(np.linalg.norm(emb) - 1.0) < 1e-5
+
+    def test_empty_crop_returns_zero_vector(self):
+        m = EmbeddingModel(model_path=None)
+        emb = m.embed(np.zeros((0, 0, 3), dtype=np.uint8))
+        assert emb.shape == (128,)
+        assert np.all(emb == 0.0)
+
+    def test_red_and_blue_crops_differ(self):
+        m = EmbeddingModel(model_path=None)
+        red  = np.full((80, 40, 3), (0,   0, 200), dtype=np.uint8)
+        blue = np.full((80, 40, 3), (200, 0,   0), dtype=np.uint8)
+        sim = float(np.dot(m.embed(red), m.embed(blue)))
+        assert sim < 0.99
+
+    def test_same_crop_deterministic(self):
+        m = EmbeddingModel(model_path=None)
+        bgr = np.random.randint(0, 255, (80, 40, 3), dtype=np.uint8)
+        assert np.allclose(m.embed(bgr), m.embed(bgr))
+
+    def test_embedding_float32(self):
+        m = EmbeddingModel(model_path=None)
+        bgr = np.random.randint(0, 255, (60, 30, 3), dtype=np.uint8)
+        emb = m.embed(bgr)
+        assert emb.dtype == np.float32
+
+
+# ── ReidGallery ───────────────────────────────────────────────────────────────
+
+def _unit(dim: int = 128, seed: int | None = None) -> np.ndarray:
+    rng = np.random.default_rng(seed)
+    v = rng.standard_normal(dim).astype(np.float32)
+    return v / np.linalg.norm(v)
+
+
+class TestReidGallery:
+
+    def test_first_match_creates_identity(self):
+        g = ReidGallery(match_threshold=0.75)
+        uid, score, is_new = g.match(_unit(seed=0))
+        assert uid == 1
+        assert is_new is True
+        assert score == pytest.approx(0.0)
+
+    def test_identical_embedding_matches(self):
+        g = ReidGallery(match_threshold=0.75)
+        emb = _unit(seed=1)
+        g.match(emb)
+        uid2, score2, is_new2 = g.match(emb)
+        assert uid2 == 1
+        assert is_new2 is False
+        assert score2 > 0.99
+
+    def test_orthogonal_embeddings_create_new_id(self):
+        g = ReidGallery(match_threshold=0.75)
+        e1 = np.zeros(128, dtype=np.float32); e1[0]  = 1.0
+        e2 = np.zeros(128, dtype=np.float32); e2[64] = 1.0
+        uid1, _, new1 = g.match(e1)
+        uid2, _, new2 = g.match(e2)
+        assert uid1 != uid2
+        assert new2 is True
+
+    def test_ids_are_monotonically_increasing(self):
+        # threshold > 1.0 is unreachable → every embedding creates a new identity
+        g = ReidGallery(match_threshold=2.0)
+        ids = [g.match(_unit(seed=i))[0] for i in range(5)]
+        assert ids == list(range(1, 6))
+
+    def test_gallery_size_increments_for_new_ids(self):
+        g = ReidGallery(match_threshold=2.0)
+        for i in range(4):
+            g.match(_unit(seed=i))
+        assert g.size == 4
+
+    def test_prune_removes_stale_identities(self):
+        g = ReidGallery(match_threshold=0.75, max_age_s=0.01)
+        g.match(_unit(seed=0))
+        time.sleep(0.05)
+        g._prune()
+        assert g.size == 0
+
+    def test_empty_gallery_prune_is_safe(self):
+        g = ReidGallery()
+        g._prune()
+        assert g.size == 0
+
+    def test_match_below_threshold_increments_id(self):
+        g = ReidGallery(match_threshold=0.99)
+        # Two random unit vectors are almost certainly < 0.99 similar
+        e1, e2 = _unit(seed=10), _unit(seed=20)
+        uid1, _, _ = g.match(e1)
+        uid2, _, _ = g.match(e2)
+        # uid2 may or may not equal uid1 depending on random similarity,
+        # but both must be valid positive integers
+        assert uid1 >= 1
+        assert uid2 >= 1
+
+    def test_identity_update_does_not_change_id(self):
+        g = ReidGallery(match_threshold=0.5)
+        emb = _unit(seed=5)
+        uid_first, _, _ = g.match(emb)
+        for _ in range(10):
+            g.match(emb)
+        uid_last, _, _ = g.match(emb)
+        assert uid_last == uid_first
+
+
+if __name__ == '__main__':
+    pytest.main([__file__, '-v'])

jetson/ros2_ws/src/saltybot_person_reid_msgs/CMakeLists.txt

@@ -0,0 +1,16 @@
+cmake_minimum_required(VERSION 3.8)
+project(saltybot_person_reid_msgs)
+
+find_package(ament_cmake REQUIRED)
+find_package(rosidl_default_generators REQUIRED)
+find_package(std_msgs REQUIRED)
+find_package(vision_msgs REQUIRED)
+
+rosidl_generate_interfaces(${PROJECT_NAME}
+  "msg/PersonAppearance.msg"
+  "msg/PersonAppearanceArray.msg"
+  DEPENDENCIES std_msgs vision_msgs
+)
+
+ament_export_dependencies(rosidl_default_runtime)
+ament_package()

jetson/ros2_ws/src/saltybot_person_reid_msgs/msg/PersonAppearance.msg

@@ -0,0 +1,7 @@
+std_msgs/Header header
+uint32 track_id
+float32[] embedding
+vision_msgs/BoundingBox2D bbox
+float32 confidence
+float32 match_score
+bool is_new_identity

jetson/ros2_ws/src/saltybot_person_reid_msgs/msg/PersonAppearanceArray.msg

@@ -0,0 +1,2 @@
+std_msgs/Header header
+PersonAppearance[] appearances

jetson/ros2_ws/src/saltybot_person_reid_msgs/package.xml

@@ -0,0 +1,22 @@
+<?xml version="1.0"?>
+<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
+<package format="3">
+  <name>saltybot_person_reid_msgs</name>
+  <version>0.1.0</version>
+  <description>Message types for person re-identification.</description>
+  <maintainer email="robot@saltylab.local">SaltyLab</maintainer>
+  <license>MIT</license>
+
+  <buildtool_depend>ament_cmake</buildtool_depend>
+  <buildtool_depend>rosidl_default_generators</buildtool_depend>
+
+  <depend>std_msgs</depend>
+  <depend>vision_msgs</depend>
+
+  <exec_depend>rosidl_default_runtime</exec_depend>
+  <member_of_group>rosidl_interface_packages</member_of_group>
+
+  <export>
+    <build_type>ament_cmake</build_type>
+  </export>
+</package>

jetson/ros2_ws/src/saltybot_thermal/config/thermal_params.yaml

@@ -0,0 +1,6 @@
+thermal_node:
+  ros__parameters:
+    publish_rate_hz: 1.0        # Hz — publish rate for /saltybot/thermal
+    warn_temp_c: 75.0           # Log WARN above this temperature (°C)
+    throttle_temp_c: 85.0       # Log ERROR + set throttled=true above this (°C)
+    thermal_root: "/sys/class/thermal"  # Sysfs thermal root; override for tests

jetson/ros2_ws/src/saltybot_thermal/launch/thermal.launch.py

@@ -0,0 +1,42 @@
+"""thermal.launch.py — Launch the Jetson thermal monitor (Issue #205).
+
+Usage:
+  ros2 launch saltybot_thermal thermal.launch.py
+  ros2 launch saltybot_thermal thermal.launch.py warn_temp_c:=70.0
+"""
+
+import os
+from ament_index_python.packages import get_package_share_directory
+from launch import LaunchDescription
+from launch.actions import DeclareLaunchArgument
+from launch.substitutions import LaunchConfiguration
+from launch_ros.actions import Node
+
+
+def generate_launch_description():
+    pkg = get_package_share_directory("saltybot_thermal")
+    cfg = os.path.join(pkg, "config", "thermal_params.yaml")
+
+    return LaunchDescription([
+        DeclareLaunchArgument("publish_rate_hz",  default_value="1.0",
+                              description="Publish rate (Hz)"),
+        DeclareLaunchArgument("warn_temp_c",      default_value="75.0",
+                              description="WARN threshold (°C)"),
+        DeclareLaunchArgument("throttle_temp_c",  default_value="85.0",
+                              description="THROTTLE threshold (°C)"),
+
+        Node(
+            package="saltybot_thermal",
+            executable="thermal_node",
+            name="thermal_node",
+            output="screen",
+            parameters=[
+                cfg,
+                {
+                    "publish_rate_hz": LaunchConfiguration("publish_rate_hz"),
+                    "warn_temp_c":     LaunchConfiguration("warn_temp_c"),
+                    "throttle_temp_c": LaunchConfiguration("throttle_temp_c"),
+                },
+            ],
+        ),
+    ])

jetson/ros2_ws/src/saltybot_thermal/package.xml

@@ -0,0 +1,26 @@
+<?xml version="1.0"?>
+<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
+<package format="3">
+  <name>saltybot_thermal</name>
+  <version>0.1.0</version>
+  <description>
+    Jetson thermal monitor (Issue #205). Reads /sys/class/thermal/thermal_zone*,
+    publishes /saltybot/thermal JSON at 1 Hz, warns at 75 °C, throttles at 85 °C.
+  </description>
+  <maintainer email="sl-jetson@saltylab.local">sl-jetson</maintainer>
+  <license>MIT</license>
+
+  <depend>rclpy</depend>
+  <depend>std_msgs</depend>
+
+  <buildtool_depend>ament_python</buildtool_depend>
+
+  <test_depend>ament_copyright</test_depend>
+  <test_depend>ament_flake8</test_depend>
+  <test_depend>ament_pep257</test_depend>
+  <test_depend>python3-pytest</test_depend>
+
+  <export>
+    <build_type>ament_python</build_type>
+  </export>
+</package>

jetson/ros2_ws/src/saltybot_thermal/saltybot_thermal/thermal_node.py

@@ -0,0 +1,139 @@
+"""thermal_node.py — Jetson CPU/GPU thermal monitor.
+Issue #205
+
+Reads every /sys/class/thermal/thermal_zone* sysfs entry, publishes a JSON
+blob on /saltybot/thermal at a configurable rate (default 1 Hz), and logs
+ROS2 WARN / ERROR when zone temperatures exceed configurable thresholds.
+
+Published topic:
+  /saltybot/thermal  (std_msgs/String, JSON)
+
+JSON schema:
+  {
+    "ts": <float unix seconds>,
+    "zones": [
+      {"zone": "CPU-therm", "index": 0, "temp_c": 42.5},
+      ...
+    ],
+    "max_temp_c": 55.0,
+    "throttled": false,
+    "warn": false
+  }
+
+Parameters:
+  publish_rate_hz   (float, 1.0)  — publish rate
+  warn_temp_c       (float, 75.0) — log WARN above this temperature
+  throttle_temp_c   (float, 85.0) — log ERROR and set throttled=true above this
+  thermal_root      (str, "/sys/class/thermal") — sysfs thermal root (override for tests)
+"""
+
+from __future__ import annotations
+
+import json
+import os
+import time
+from typing import List, Optional
+
+import rclpy
+from rclpy.node import Node
+from rclpy.qos import QoSProfile
+from std_msgs.msg import String
+
+
+def read_thermal_zones(root: str) -> List[dict]:
+    """Return a list of {zone, index, temp_c} dicts from sysfs."""
+    zones = []
+    try:
+        entries = sorted(os.listdir(root))
+    except OSError:
+        return zones
+    for entry in entries:
+        if not entry.startswith("thermal_zone"):
+            continue
+        try:
+            idx = int(entry[len("thermal_zone"):])
+        except ValueError:
+            continue
+        zone_dir = os.path.join(root, entry)
+        try:
+            with open(os.path.join(zone_dir, "type")) as f:
+                zone_type = f.read().strip()
+        except OSError:
+            zone_type = entry
+        try:
+            with open(os.path.join(zone_dir, "temp")) as f:
+                temp_mc = int(f.read().strip())   # millidegrees Celsius
+            temp_c = round(temp_mc / 1000.0, 1)
+        except (OSError, ValueError):
+            continue
+        zones.append({"zone": zone_type, "index": idx, "temp_c": temp_c})
+    return zones
+
+
+class ThermalNode(Node):
+    """Reads Jetson thermal zones and publishes /saltybot/thermal at 1 Hz."""
+
+    def __init__(self) -> None:
+        super().__init__("thermal_node")
+
+        self.declare_parameter("publish_rate_hz",  1.0)
+        self.declare_parameter("warn_temp_c",      75.0)
+        self.declare_parameter("throttle_temp_c",  85.0)
+        self.declare_parameter("thermal_root",     "/sys/class/thermal")
+
+        self._rate        = self.get_parameter("publish_rate_hz").value
+        self._warn_t      = self.get_parameter("warn_temp_c").value
+        self._throttle_t  = self.get_parameter("throttle_temp_c").value
+        self._root        = self.get_parameter("thermal_root").value
+
+        qos = QoSProfile(depth=10)
+        self._pub = self.create_publisher(String, "/saltybot/thermal", qos)
+        self._timer = self.create_timer(1.0 / self._rate, self._publish)
+
+        self.get_logger().info(
+            f"ThermalNode ready (rate={self._rate} Hz, "
+            f"warn={self._warn_t}°C, throttle={self._throttle_t}°C, "
+            f"root={self._root})"
+        )
+
+    def _publish(self) -> None:
+        zones = read_thermal_zones(self._root)
+        if not zones:
+            self.get_logger().warn("No thermal zones found — check thermal_root param")
+            return
+
+        max_temp = max(z["temp_c"] for z in zones)
+        throttled = max_temp >= self._throttle_t
+        warn      = max_temp >= self._warn_t
+
+        payload = {
+            "ts":         time.time(),
+            "zones":      zones,
+            "max_temp_c": max_temp,
+            "throttled":  throttled,
+            "warn":       warn,
+        }
+        msg = String()
+        msg.data = json.dumps(payload)
+        self._pub.publish(msg)
+
+        if throttled:
+            self.get_logger().error(
+                f"THERMAL THROTTLE: {max_temp}°C >= {self._throttle_t}°C"
+            )
+        elif warn:
+            self.get_logger().warn(
+                f"Thermal warning: {max_temp}°C >= {self._warn_t}°C"
+            )
+
+
+def main(args: Optional[list] = None) -> None:
+    rclpy.init(args=args)
+    node = ThermalNode()
+    try:
+        rclpy.spin(node)
+    except KeyboardInterrupt:
+        pass
+    finally:
+        node.destroy_node()
+        rclpy.shutdown()

jetson/ros2_ws/src/saltybot_thermal/setup.cfg

@@ -0,0 +1,4 @@
+[develop]
+script_dir=$base/lib/saltybot_thermal
+[egg_info]
+tag_date = 0

jetson/ros2_ws/src/saltybot_thermal/setup.py

@@ -0,0 +1,27 @@
+from setuptools import setup
+
+package_name = "saltybot_thermal"
+
+setup(
+    name=package_name,
+    version="0.1.0",
+    packages=[package_name],
+    data_files=[
+        ("share/ament_index/resource_index/packages", [f"resource/{package_name}"]),
+        (f"share/{package_name}", ["package.xml"]),
+        (f"share/{package_name}/launch", ["launch/thermal.launch.py"]),
+        (f"share/{package_name}/config", ["config/thermal_params.yaml"]),
+    ],
+    install_requires=["setuptools"],
+    zip_safe=True,
+    maintainer="sl-jetson",
+    maintainer_email="sl-jetson@saltylab.local",
+    description="Jetson thermal monitor — /saltybot/thermal JSON at 1 Hz",
+    license="MIT",
+    tests_require=["pytest"],
+    entry_points={
+        "console_scripts": [
+            "thermal_node = saltybot_thermal.thermal_node:main",
+        ],
+    },
+)

jetson/ros2_ws/src/saltybot_thermal/test/test_thermal.py

@@ -0,0 +1,303 @@
+"""test_thermal.py -- Unit tests for Issue #205 Jetson thermal monitor."""
+
+from __future__ import annotations
+import json, os, time
+import pytest
+
+
+def _pkg_root():
+    return os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+
+
+def _read_src(rel_path):
+    with open(os.path.join(_pkg_root(), rel_path)) as f:
+        return f.read()
+
+
+# ── Import the sysfs reader (no ROS required) ─────────────────────────────────
+
+def _import_reader():
+    import importlib.util, sys, types
+
+    # Build minimal ROS2 stubs so thermal_node.py imports without a ROS install
+    def _stub(name):
+        m = types.ModuleType(name)
+        sys.modules[name] = m
+        return m
+
+    rclpy_mod      = _stub("rclpy")
+    rclpy_node_mod = _stub("rclpy.node")
+    rclpy_qos_mod  = _stub("rclpy.qos")
+    std_msgs_mod   = _stub("std_msgs")
+    std_msg_mod    = _stub("std_msgs.msg")
+
+    class _Node:
+        def __init__(self, *a, **kw): pass
+        def declare_parameter(self, *a, **kw): pass
+        def get_parameter(self, name):
+            class _P:
+                value = None
+            return _P()
+        def create_publisher(self, *a, **kw): return None
+        def create_timer(self, *a, **kw): return None
+        def get_logger(self):
+            class _L:
+                def info(self, *a): pass
+                def warn(self, *a): pass
+                def error(self, *a): pass
+            return _L()
+        def destroy_node(self): pass
+
+    class _QoSProfile:
+        def __init__(self, **kw): pass
+
+    class _String:
+        data = ""
+
+    rclpy_node_mod.Node = _Node
+    rclpy_qos_mod.QoSProfile = _QoSProfile
+    std_msg_mod.String = _String
+    rclpy_mod.init = lambda *a, **kw: None
+    rclpy_mod.spin = lambda node: None
+    rclpy_mod.ok   = lambda: True
+    rclpy_mod.shutdown = lambda: None
+
+    spec = importlib.util.spec_from_file_location(
+        "thermal_node_testmod",
+        os.path.join(_pkg_root(), "saltybot_thermal", "thermal_node.py"),
+    )
+    mod = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(mod)
+    return mod
+
+
+# ── Sysfs fixture helpers ─────────────────────────────────────────────────────
+
+def _make_zone(root, idx, zone_type, temp_mc):
+    """Create a fake thermal_zone<idx> directory under root."""
+    zdir = os.path.join(str(root), "thermal_zone{}".format(idx))
+    os.makedirs(zdir, exist_ok=True)
+    with open(os.path.join(zdir, "type"), "w") as f:
+        f.write(zone_type + "\n")
+    with open(os.path.join(zdir, "temp"), "w") as f:
+        f.write(str(temp_mc) + "\n")
+
+
+# ── read_thermal_zones ────────────────────────────────────────────────────────
+
+class TestReadThermalZones:
+    @pytest.fixture(scope="class")
+    def mod(self):
+        return _import_reader()
+
+    def test_empty_dir(self, mod, tmp_path):
+        assert mod.read_thermal_zones(str(tmp_path)) == []
+
+    def test_missing_dir(self, mod):
+        assert mod.read_thermal_zones("/nonexistent/path/xyz") == []
+
+    def test_single_zone(self, mod, tmp_path):
+        _make_zone(tmp_path, 0, "CPU-therm", 45000)
+        zones = mod.read_thermal_zones(str(tmp_path))
+        assert len(zones) == 1
+        assert zones[0]["zone"] == "CPU-therm"
+        assert zones[0]["temp_c"] == 45.0
+        assert zones[0]["index"] == 0
+
+    def test_temp_millidegrees_conversion(self, mod, tmp_path):
+        _make_zone(tmp_path, 0, "GPU-therm", 72500)
+        zones = mod.read_thermal_zones(str(tmp_path))
+        assert zones[0]["temp_c"] == 72.5
+
+    def test_multiple_zones(self, mod, tmp_path):
+        _make_zone(tmp_path, 0, "CPU-therm", 40000)
+        _make_zone(tmp_path, 1, "GPU-therm", 55000)
+        _make_zone(tmp_path, 2, "PMIC-Die",  38000)
+        zones = mod.read_thermal_zones(str(tmp_path))
+        assert len(zones) == 3
+
+    def test_sorted_by_index(self, mod, tmp_path):
+        _make_zone(tmp_path, 2, "Z2", 20000)
+        _make_zone(tmp_path, 0, "Z0", 10000)
+        _make_zone(tmp_path, 1, "Z1", 15000)
+        zones = mod.read_thermal_zones(str(tmp_path))
+        indices = [z["index"] for z in zones]
+        assert indices == sorted(indices)
+
+    def test_skips_non_zone_entries(self, mod, tmp_path):
+        os.makedirs(os.path.join(str(tmp_path), "cooling_device0"))
+        _make_zone(tmp_path, 0, "CPU-therm", 40000)
+        zones = mod.read_thermal_zones(str(tmp_path))
+        assert len(zones) == 1
+
+    def test_skips_zone_without_temp(self, mod, tmp_path):
+        zdir = os.path.join(str(tmp_path), "thermal_zone0")
+        os.makedirs(zdir)
+        with open(os.path.join(zdir, "type"), "w") as f:
+            f.write("CPU-therm\n")
+        # No temp file — should be skipped
+        zones = mod.read_thermal_zones(str(tmp_path))
+        assert zones == []
+
+    def test_zone_type_fallback(self, mod, tmp_path):
+        """Zone without type file falls back to directory name."""
+        zdir = os.path.join(str(tmp_path), "thermal_zone0")
+        os.makedirs(zdir)
+        with open(os.path.join(zdir, "temp"), "w") as f:
+            f.write("40000\n")
+        zones = mod.read_thermal_zones(str(tmp_path))
+        assert len(zones) == 1
+        assert zones[0]["zone"] == "thermal_zone0"
+
+    def test_temp_rounding(self, mod, tmp_path):
+        _make_zone(tmp_path, 0, "CPU-therm", 72333)
+        zones = mod.read_thermal_zones(str(tmp_path))
+        assert zones[0]["temp_c"] == 72.3
+
+
+# ── Threshold logic (pure Python) ────────────────────────────────────────────
+
+class TestThresholds:
+    def _classify(self, temp_c, warn_t=75.0, throttle_t=85.0):
+        throttled = temp_c >= throttle_t
+        warn      = temp_c >= warn_t
+        return throttled, warn
+
+    def test_normal(self):
+        t, w = self._classify(50.0)
+        assert not t and not w
+
+    def test_warn_boundary(self):
+        t, w = self._classify(75.0)
+        assert not t and w
+
+    def test_below_warn(self):
+        t, w = self._classify(74.9)
+        assert not t and not w
+
+    def test_throttle_boundary(self):
+        t, w = self._classify(85.0)
+        assert t and w
+
+    def test_above_throttle(self):
+        t, w = self._classify(90.0)
+        assert t and w
+
+    def test_custom_thresholds(self):
+        t, w = self._classify(70.0, warn_t=70.0, throttle_t=80.0)
+        assert not t and w
+
+    def test_max_temp_drives_status(self):
+        zones = [{"temp_c": 40.0}, {"temp_c": 86.0}, {"temp_c": 55.0}]
+        max_t = max(z["temp_c"] for z in zones)
+        assert max_t == 86.0
+        t, w = self._classify(max_t)
+        assert t and w
+
+
+# ── JSON payload schema ───────────────────────────────────────────────────────
+
+class TestJsonPayload:
+    def _make_payload(self, zones, warn_t=75.0, throttle_t=85.0):
+        max_temp = max(z["temp_c"] for z in zones) if zones else 0.0
+        return {
+            "ts":         time.time(),
+            "zones":      zones,
+            "max_temp_c": max_temp,
+            "throttled":  max_temp >= throttle_t,
+            "warn":       max_temp >= warn_t,
+        }
+
+    def test_has_ts(self):
+        p = self._make_payload([{"zone": "CPU", "index": 0, "temp_c": 40.0}])
+        assert "ts" in p and isinstance(p["ts"], float)
+
+    def test_has_zones(self):
+        p = self._make_payload([{"zone": "CPU", "index": 0, "temp_c": 40.0}])
+        assert "zones" in p and len(p["zones"]) == 1
+
+    def test_has_max_temp(self):
+        p = self._make_payload([{"zone": "CPU", "index": 0, "temp_c": 55.0}])
+        assert p["max_temp_c"] == 55.0
+
+    def test_throttled_false_below(self):
+        p = self._make_payload([{"zone": "CPU", "index": 0, "temp_c": 60.0}])
+        assert p["throttled"] is False
+
+    def test_warn_true_at_threshold(self):
+        p = self._make_payload([{"zone": "CPU", "index": 0, "temp_c": 75.0}])
+        assert p["warn"] is True and p["throttled"] is False
+
+    def test_throttled_true_above(self):
+        p = self._make_payload([{"zone": "CPU", "index": 0, "temp_c": 90.0}])
+        assert p["throttled"] is True
+
+    def test_json_serializable(self):
+        zones = [{"zone": "CPU", "index": 0, "temp_c": 50.0}]
+        p = self._make_payload(zones)
+        blob = json.dumps(p)
+        parsed = json.loads(blob)
+        assert parsed["max_temp_c"] == 50.0
+
+    def test_multi_zone_max(self):
+        zones = [
+            {"zone": "CPU-therm", "index": 0, "temp_c": 55.0},
+            {"zone": "GPU-therm", "index": 1, "temp_c": 78.0},
+            {"zone": "PMIC-Die",  "index": 2, "temp_c": 38.0},
+        ]
+        p = self._make_payload(zones)
+        assert p["max_temp_c"] == 78.0
+        assert p["warn"] is True
+        assert p["throttled"] is False
+
+
+# ── Node source checks ────────────────────────────────────────────────────────
+
+class TestNodeSrc:
+    @pytest.fixture(scope="class")
+    def src(self):
+        return _read_src("saltybot_thermal/thermal_node.py")
+
+    def test_class_defined(self, src):       assert "class ThermalNode" in src
+    def test_publish_rate_param(self, src):  assert '"publish_rate_hz"' in src
+    def test_warn_param(self, src):          assert '"warn_temp_c"' in src
+    def test_throttle_param(self, src):      assert '"throttle_temp_c"' in src
+    def test_thermal_root_param(self, src):  assert '"thermal_root"' in src
+    def test_topic(self, src):               assert '"/saltybot/thermal"' in src
+    def test_read_fn(self, src):             assert "read_thermal_zones" in src
+    def test_warn_log(self, src):            assert "warn" in src.lower()
+    def test_error_log(self, src):           assert "error" in src.lower()
+    def test_throttled_flag(self, src):      assert '"throttled"' in src
+    def test_warn_flag(self, src):           assert '"warn"' in src
+    def test_max_temp(self, src):            assert '"max_temp_c"' in src
+    def test_millidegrees(self, src):        assert "1000" in src
+    def test_json_dumps(self, src):          assert "json.dumps" in src
+    def test_issue_tag(self, src):           assert "205" in src
+    def test_main(self, src):                assert "def main" in src
+    def test_sysfs_path(self, src):          assert "/sys/class/thermal" in src
+
+
+# ── Package metadata ──────────────────────────────────────────────────────────
+
+class TestPackageMeta:
+    @pytest.fixture(scope="class")
+    def pkg_xml(self):
+        return _read_src("package.xml")
+
+    @pytest.fixture(scope="class")
+    def setup_py(self):
+        return _read_src("setup.py")
+
+    @pytest.fixture(scope="class")
+    def cfg(self):
+        return _read_src("config/thermal_params.yaml")
+
+    def test_pkg_name(self, pkg_xml):     assert "saltybot_thermal" in pkg_xml
+    def test_issue_tag(self, pkg_xml):    assert "205" in pkg_xml
+    def test_entry_point(self, setup_py): assert "thermal_node = saltybot_thermal.thermal_node:main" in setup_py
+    def test_cfg_node_name(self, cfg):    assert "thermal_node:" in cfg
+    def test_cfg_warn(self, cfg):         assert "warn_temp_c" in cfg
+    def test_cfg_throttle(self, cfg):     assert "throttle_temp_c" in cfg
+    def test_cfg_rate(self, cfg):         assert "publish_rate_hz" in cfg
+    def test_cfg_defaults(self, cfg):
+        assert "75.0" in cfg and "85.0" in cfg and "1.0" in cfg