feat(api): /api/setup/check + /api/setup/bootstrap WS

backend/main.py

@@ -233,6 +233,109 @@ async def upload_files(files: List[UploadFile] = File(...)):
     return {"results": results}
 
 
+# ──────────────────────────────────────────────────────────────────────────────
+#  Setup / Bootstrap
+# ──────────────────────────────────────────────────────────────────────────────
+
+# Where bootstrap assets live in the .deb install layout
+ASSETS_DIR = Path(os.getenv("LLM_TRAINER_ASSETS", "/opt/llm-trainer/remote"))
+
+
+@app.get("/api/setup/check")
+async def setup_check():
+    """Detect what's already set up on the remote GPU host."""
+    _require_ssh()
+    user = ssh_manager.username
+
+    checks = {}
+
+    # Probe each component with a single shell command, parse the result
+    probe = (
+        f"if [ -x $HOME/miniconda3/bin/conda ]; then echo 'conda=ok'; else echo 'conda=missing'; fi; "
+        f"if $HOME/miniconda3/bin/conda env list 2>/dev/null | awk '{{print $1}}' | grep -qx synthetic-data; "
+        f"then echo 'env=ok'; else echo 'env=missing'; fi; "
+        f"if [ -x $HOME/miniconda3/envs/synthetic-data/bin/synthetic-data-kit ]; "
+        f"then echo 'sdk=ok'; else echo 'sdk=missing'; fi; "
+        f"if [ -f /opt/synthetic/train.py ] || [ -f $HOME/synthetic/train.py ]; "
+        f"then echo 'train_py=ok'; else echo 'train_py=missing'; fi; "
+        f"if [ -d /opt/synthetic/synthetic-data-kit/data/input ] || [ -d $HOME/synthetic/synthetic-data-kit/data/input ]; "
+        f"then echo 'data_dirs=ok'; else echo 'data_dirs=missing'; fi; "
+        f"if command -v nvidia-smi >/dev/null 2>&1 && nvidia-smi -L >/dev/null 2>&1; "
+        f"then echo 'gpu=ok'; else echo 'gpu=missing'; fi; "
+        f"if $HOME/miniconda3/envs/synthetic-data/bin/python -c 'import torch,transformers,peft,trl' 2>/dev/null; "
+        f"then echo 'training_deps=ok'; else echo 'training_deps=missing'; fi"
+    )
+    out, err, _ = ssh_manager.execute(probe, use_conda=False)
+    for line in out.splitlines():
+        if "=" in line:
+            k, v = line.strip().split("=", 1)
+            checks[k] = v == "ok"
+
+    ready = all(checks.get(k, False) for k in
+                ("conda", "env", "sdk", "train_py", "data_dirs", "training_deps"))
+    return {"checks": checks, "ready": ready, "user": user}
+
+
+@app.websocket("/api/setup/bootstrap")
+async def ws_bootstrap(websocket: WebSocket):
+    """Upload bootstrap.sh + train.py + config.yaml to the remote and run it."""
+    await websocket.accept()
+    if not ssh_manager.is_connected():
+        await websocket.send_json({"type": "error", "data": "Not connected"})
+        return
+
+    if not ASSETS_DIR.is_dir():
+        await websocket.send_json({"type": "error",
+                                    "data": f"Bootstrap assets not found at {ASSETS_DIR}"})
+        return
+
+    try:
+        remote_dir = "/tmp/llm-trainer-bootstrap"
+        ssh_manager.execute(f"mkdir -p {remote_dir}", use_conda=False)
+        for name in ("bootstrap.sh", "train.py", "config.yaml"):
+            src = ASSETS_DIR / name
+            if not src.is_file():
+                await websocket.send_json({"type": "error",
+                                            "data": f"Missing asset: {name}"})
+                return
+            ssh_manager.upload_file(str(src), f"{remote_dir}/{name}")
+        ssh_manager.execute(f"chmod +x {remote_dir}/bootstrap.sh", use_conda=False)
+    except Exception as exc:
+        await websocket.send_json({"type": "error",
+                                    "data": f"Asset upload failed: {exc}"})
+        return
+
+    # Stream bootstrap output
+    loop = asyncio.get_event_loop()
+    queue: asyncio.Queue = asyncio.Queue()
+
+    def _worker():
+        try:
+            for line in ssh_manager.execute_stream(
+                f"bash {remote_dir}/bootstrap.sh", use_conda=False
+            ):
+                asyncio.run_coroutine_threadsafe(
+                    queue.put({"type": "log", "data": line}), loop
+                )
+            asyncio.run_coroutine_threadsafe(
+                queue.put({"type": "done", "data": "Bootstrap complete."}), loop
+            )
+        except Exception as exc:
+            asyncio.run_coroutine_threadsafe(
+                queue.put({"type": "error", "data": str(exc)}), loop
+            )
+
+    threading.Thread(target=_worker, daemon=True).start()
+
+    try:
+        while True:
+            msg = await queue.get()
+            await websocket.send_json(msg)
+            if msg["type"] in ("done", "error"):
+                break
+    except WebSocketDisconnect:
+        pass
+
 # ──────────────────────────────────────────────────────────────────────────────
 #  Pipeline  (WebSocket streaming)
 # ──────────────────────────────────────────────────────────────────────────────