{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "db06489e-2e2e-4d7f-bfab-13cf42261688",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "im here\n"
     ]
    }
   ],
   "source": [
    "print('im here')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9217fed7-ed85-4592-a480-ef15f0632501",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jupyter\n"
     ]
    }
   ],
   "source": [
    "cd .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "502b64af-59f1-4ae9-89f3-378458ba52be",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "replacing old file\n",
      "Untitled.ipynb\n",
      "README.md\n",
      "config.properties\n",
      ".gitattributes\n",
      "model_index.json\n",
      "Untitled1.ipynb\n",
      "Dockerfile\n",
      "stable_diffusion_handler.py\n",
      "replacing  stable_diffusion_handler.py\n",
      "tokenizer_2/tokenizer_config.json\n",
      "tokenizer_2/special_tokens_map.json\n",
      "tokenizer_2/vocab.json\n",
      "tokenizer_2/merges.txt\n",
      "text_encoder/config.json\n",
      "text_encoder/pytorch_model.bin\n",
      "text_encoder_2/config.json\n",
      "text_encoder_2/pytorch_model.bin\n",
      "unet/config.json\n",
      "unet/diffusion_pytorch_model.bin\n",
      "tokenizer/tokenizer_config.json\n",
      "tokenizer/special_tokens_map.json\n",
      "tokenizer/vocab.json\n",
      "tokenizer/merges.txt\n",
      "scheduler/scheduler_config.json\n",
      "vae/config.json\n",
      "vae/diffusion_pytorch_model.bin\n",
      "MAR-INF/MANIFEST.json\n"
     ]
    }
   ],
   "source": [
    "import zipfile\n",
    "\n",
    "# Path to the existing .mar file and the file to be replaced\n",
    "mar_path = \"export/sketch-model-3.mar\"\n",
    "file_to_replace = \"stable_diffusion_handler.py\"\n",
    "new_file_path = \"sketch-model-3/stable_diffusion_handler.py\"\n",
    "\n",
    "# # Create a temporary .mar file\n",
    "temp_mar_path = \"sketch-model-3-updated.mar\"\n",
    "\n",
    "print(\"replacing old file\")\n",
    "# Open the existing .mar and the temporary .mar\n",
    "with zipfile.ZipFile(mar_path, 'r') as zip_ref, zipfile.ZipFile(temp_mar_path, 'w', zipfile.ZIP_STORED) as new_zip:\n",
    "    # Loop through existing files\n",
    "    for item in zip_ref.infolist():\n",
    "        print(item.filename)\n",
    "        buffer = zip_ref.read(item.filename)\n",
    "        \n",
    "        # Replace the file if it matches the target file name\n",
    "        if item.filename == file_to_replace:\n",
    "            print('replacing ', item.filename)\n",
    "            with open(new_file_path, \"rb\") as f:\n",
    "                new_buffer = f.read()\n",
    "            new_zip.writestr(item, new_buffer)\n",
    "        else:\n",
    "            new_zip.writestr(item, buffer)\n",
    "\n",
    "print('done')\n",
    "# Remove the original .mar file and replace it with the new one\n",
    "import os\n",
    "os.remove(mar_path)\n",
    "os.rename(temp_mar_path, mar_path)"
   ]
  }
 ],
 "metadata": {
  "environment": {
   "kernel": "conda-root-py",
   "name": "workbench-notebooks.m110",
   "type": "gcloud",
   "uri": "gcr.io/deeplearning-platform-release/workbench-notebooks:m110"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}