DPL MCP: allow connecting to a running Hyperloop test

Framework/Core/scripts/dpl-mcp-server/dpl_mcp_server.py

@@ -39,7 +39,9 @@
 
 import asyncio
 import json
+import os
 from typing import Any
+from urllib.parse import urlparse
 
 import websockets
 from mcp.server.fastmcp import FastMCP
@@ -51,9 +53,10 @@
 class WorkflowConnection:
     """Holds WebSocket connection and buffered state for one DPL workflow."""
 
-    def __init__(self, port: int, name: str):
-        self.port = port
+    def __init__(self, *, url: str, name: str, extra_headers: dict[str, str] | None = None):
+        self.url = url
         self.name = name
+        self.extra_headers = extra_headers or {}
         self.ws: Any = None
         self.reader_task: asyncio.Task | None = None
         self.snapshot: dict = {}
@@ -83,8 +86,11 @@ async def ensure_connected(self) -> None:
                 except Exception:
                     pass
 
-        url = f"ws://localhost:{self.port}/status"
-        self.ws = await websockets.connect(url, subprotocols=["dpl"])
+        self.ws = await websockets.connect(
+            self.url,
+            subprotocols=["dpl"],
+            additional_headers=self.extra_headers if self.extra_headers else None,
+        )
         if self.reader_task is None or self.reader_task.done():
             self.reader_task = asyncio.create_task(self._reader())
 
@@ -178,7 +184,8 @@ async def connect(port: int = 0, pid: int = 0, name: str = "") -> str:
         old = _workflows[wf_name]
         await old.close()
 
-    conn = WorkflowConnection(port, wf_name)
+    url = f"ws://localhost:{port}/status"
+    conn = WorkflowConnection(url=url, name=wf_name)
     await conn.ensure_connected()
     _workflows[wf_name] = conn
 
@@ -189,6 +196,48 @@ async def connect(port: int = 0, pid: int = 0, name: str = "") -> str:
     )
 
 
+@mcp.tool()
+async def connect_hyperloop(url: str, name: str = "", token: str = "") -> str:
+    """Connect to a DPL workflow running on Hyperloop via the remote proxy.
+
+    Accepts a URL like:
+        https://alimonitor.cern.ch/train-workdir/remote-gui/remote_proxy.html?<token>/<port>
+
+    and remaps it to the local WebSocket proxy endpoint.
+
+    Args:
+        url: The remote_proxy.html URL from alimonitor.
+        name: Optional human-friendly name for this workflow.
+        token: Hyperloop auth token. Falls back to HYPERLOOP_TOKEN env var.
+    """
+    token = token or os.environ.get("HYPERLOOP_TOKEN", "")
+    if not token:
+        return "No token provided and HYPERLOOP_TOKEN environment variable is not set."
+
+    parsed = urlparse(url)
+    path_suffix = parsed.query  # everything after '?'
+    if not path_suffix:
+        return f"Cannot parse token/port from URL: {url}"
+
+    ws_url = f"ws://localhost:8888/remote-mcp/o2/{path_suffix}/status"
+    wf_name = name or path_suffix.split("/")[-1]
+
+    if wf_name in _workflows:
+        old = _workflows[wf_name]
+        await old.close()
+
+    headers = {"Authorization": f"Bearer {token}"}
+    conn = WorkflowConnection(url=ws_url, name=wf_name, extra_headers=headers)
+    await conn.ensure_connected()
+    _workflows[wf_name] = conn
+
+    devices = conn.snapshot.get("devices", [])
+    return (
+        f"Connected to Hyperloop workflow '{wf_name}' via {ws_url} "
+        f"({len(devices)} device(s))."
+    )
+
+
 @mcp.tool()
 async def disconnect(workflow: str) -> str:
     """Disconnect from a DPL workflow and release its resources.