Publish one-start Kaggle structural campaign

notebooks/autonoma_fable_router_structural_campaign_kaggle.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Autonoma Fable router structural campaign \u2014 Kaggle\n",
+    "\n",
+    "This is a **one-start, mechanical, non-routing campaign**. It never trains or publishes a candidate model. Each frozen donor bank runs in a fresh subprocess, uploads its own append-only evidence, releases CUDA process state, and then the campaign uploads a final private summary.\n",
+    "\n",
+    "Source bundle: `Swordnael/LFM2.5-Fable-Router-Curriculum@9ca90c594c294cea501b33df97f4d2b18ff94116`. The campaign continues after a bank-specific failure so unattended time still produces evidence. A pass authorizes no routing or training.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install -q 'transformers>=4.56' 'accelerate>=1.2' 'safetensors>=0.5' 'huggingface_hub>=0.34' 'trackio>=0.3'\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from kaggle_secrets import UserSecretsClient\n",
+    "import os\n",
+    "token = UserSecretsClient().get_secret(\"HF_TOKEN\")\n",
+    "if not token:\n",
+    "    raise RuntimeError(\"Add HF_TOKEN as a Kaggle secret and attach it to this notebook\")\n",
+    "os.environ[\"HF_TOKEN\"] = token\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "from urllib.request import urlopen\n",
+    "\n",
+    "REVISION = \"9ca90c594c294cea501b33df97f4d2b18ff94116\"\n",
+    "ROOT = Path(\"/kaggle/working/autonoma-fable-smoke\")\n",
+    "CODE = ROOT / \"runner\"\n",
+    "CODE.mkdir(parents=True, exist_ok=True)\n",
+    "files = {\n",
+    "  \"fable-router-cloud-smoke.v1.json\": \"fable-router-cloud-smoke.v1.json\",\n",
+    "  \"training/fable_router_common.py\": \"fable_router_common.py\",\n",
+    "  \"training/fable_router_hybrid.py\": \"fable_router_hybrid.py\",\n",
+    "  \"training/run_fable_router_structural_smoke.py\": \"run_fable_router_structural_smoke.py\",\n",
+    "  \"training/run_fable_router_structural_campaign.py\": \"run_fable_router_structural_campaign.py\"\n",
+    "}\n",
+    "for remote, local in files.items():\n",
+    "    url = f\"https://huggingface.co/datasets/Swordnael/LFM2.5-Fable-Router-Curriculum/resolve/{REVISION}/{remote}\"\n",
+    "    destination = CODE / local\n",
+    "    destination.write_bytes(urlopen(url).read())\n",
+    "    print(destination, destination.stat().st_size)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import subprocess, sys\n",
+    "command = [\n",
+    "    sys.executable,\n",
+    "    str(CODE / \"run_fable_router_structural_campaign.py\"),\n",
+    "    \"--owner-execute\",\n",
+    "    \"--config\", str(CODE / \"fable-router-cloud-smoke.v1.json\"),\n",
+    "    \"--runner\", str(CODE / \"run_fable_router_structural_smoke.py\"),\n",
+    "    \"--source-revision\", REVISION,\n",
+    "    \"--platform\", \"kaggle\",\n",
+    "    \"--work-dir\", str(ROOT),\n",
+    "    \"--continue-on-failure\",\n",
+    "]\n",
+    "print(\" \".join(command))\n",
+    "completed = subprocess.run(command, check=False)\n",
+    "if completed.returncode:\n",
+    "    raise RuntimeError(f\"Campaign completed with one or more failures (exit {completed.returncode}); all available evidence was still persisted\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Interpretation\n",
+    "\n",
+    "The authoritative records are uploaded automatically to the private evidence dataset after every bank and at campaign completion. `campaign_passed_nonrouting` means all four structural smokes passed; it does not authorize training or production routing.\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "accelerator": "GPU",
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}