Merge origin/main into running Command Center

Keep the deployed tree on conflict; integrate the remote Dockhand/CDC tip.

api/lab_context.py

@@ -808,11 +808,12 @@ async def collect_full_lab_context(
         if gpu_data is None:
             gpu_data = await collect_gpu_metrics(client, log)
 
-        docker_raw, db_raw, lake_raw, cc_raw, hdfs, etl, objectscale = await asyncio.gather(
+        docker_raw, db_raw, lake_raw, cc_raw, gpu_raw, hdfs, etl, objectscale = await asyncio.gather(
             dockhand_containers(client, DOCKHAND_ENVS["docker01"], log),
             dockhand_containers(client, DOCKHAND_ENVS["db02"], log),
             dockhand_containers(client, DOCKHAND_ENVS["lakehouse"], log),
             dockhand_containers(client, DOCKHAND_ENV_COMMAND_CENTER, log),
+            dockhand_containers(client, DOCKHAND_ENVS["gpu_dev"], log),
             collect_hdfs(client, log),
             collect_etl(client, log),
             collect_objectscale(client, log),
@@ -829,6 +830,15 @@ async def collect_full_lab_context(
                 databases["inventory"] = {"error": str(exc)}
         lakehouse = await collect_lakehouse(client, lake_raw, log)
         command_center = await collect_command_center(client, cc_raw, log)
+        if gpu_data is not None and gpu_raw:
+            gpu_running = sum(1 for c in gpu_raw if c.get("state") == "running")
+            gpu_data = {
+                **gpu_data,
+                "dockhand_env": DOCKHAND_ENVS["gpu_dev"],
+                "dockhand_containers": _container_rows(gpu_raw, GPU_URL.replace("http://", "").split(":")[0]),
+                "dockhand_running": gpu_running,
+                "dockhand_total": len(gpu_raw),
+            }
 
     try:
         governance = collect_governance(log)