refactor: change Kaggle deploy kernel_type to notebook with ipynb

scripts/build_kaggle_deploy.py

@@ -18,33 +18,50 @@ def build_deploy_dir():
     if os.path.exists(os.path.join(base_dir, "README.md")):
         shutil.copy(os.path.join(base_dir, "README.md"), os.path.join(deploy_dir, "README.md"))
         
-    # Write run_consumer_kaggle.py
-    consumer_script = """import subprocess
-import sys
-import os
-
-print("=== Starting Kaggle Consumer Bootstrap ===")
-# Install dependencies from pyproject.toml
-try:
-    print("Installing python package and dependencies...")
-    subprocess.check_call([sys.executable, "-m", "pip", "install", "-e", "."])
-    print("Dependencies installed successfully.")
-except Exception as e:
-    print(f"Error installing dependencies: {e}")
-    sys.exit(1)
-
-# Run the consumer
-try:
-    print("Launching message consumer...")
-    subprocess.check_call([sys.executable, "-m", "src.interface.consumer.run_consumer"])
-except KeyboardInterrupt:
-    print("Consumer stopped by user.")
-except Exception as e:
-    print(f"Consumer execution failed: {e}")
-    sys.exit(1)
-"""
-    with open(os.path.join(deploy_dir, "run_consumer_kaggle.py"), "w", encoding="utf-8") as f:
-        f.write(consumer_script)
+    # Generate run_consumer_kaggle.ipynb (Jupyter Notebook format)
+    notebook_content = {
+        "cells": [
+            {
+                "cell_type": "code",
+                "execution_count": None,
+                "metadata": {},
+                "outputs": [],
+                "source": [
+                    "import subprocess\n",
+                    "import sys\n",
+                    "import os\n",
+                    "\n",
+                    "print(\"=== Starting Kaggle Consumer Bootstrap ===\")\n",
+                    "try:\n",
+                    "    print(\"Installing python package and dependencies...\")\n",
+                    "    subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"-e\", \".\"])\n",
+                    "    print(\"Dependencies installed successfully.\")\n",
+                    "except Exception as e:\n",
+                    "    print(f\"Error installing dependencies: {e}\")\n",
+                    "    sys.exit(1)\n",
+                    "\n",
+                    "try:\n",
+                    "    print(\"Launching message consumer...\")\n",
+                    "    subprocess.check_call([sys.executable, \"-m\", \"src.interface.consumer.run_consumer\"])\n",
+                    "except KeyboardInterrupt:\n",
+                    "    print(\"Consumer stopped by user.\")\n",
+                    "except Exception as e:\n",
+                    "    print(f\"Consumer execution failed: {e}\")\n",
+                    "    sys.exit(1)"
+                ]
+            }
+        ],
+        "metadata": {
+            "language_info": {
+                "name": "python"
+            }
+        },
+        "nbformat": 4,
+        "nbformat_minor": 2
+    }
+    
+    with open(os.path.join(deploy_dir, "run_consumer_kaggle.ipynb"), "w", encoding="utf-8") as f:
+        json.dump(notebook_content, f, indent=4)
         
     # Generate kernel-metadata.json
     username = os.environ.get("KAGGLE_USERNAME", "benedictusryugunawan")
@@ -53,9 +70,9 @@ except Exception as e:
     metadata = {
         "id": f"{username}/{slug}",
         "title": "BP Monitoring Consumer Daemon",
-        "code_file": "run_consumer_kaggle.py",
+        "code_file": "run_consumer_kaggle.ipynb",
         "language": "python",
-        "kernel_type": "script",
+        "kernel_type": "notebook",
         "is_private": "true",
         "enable_gpu": "true",
         "enable_tpu": "false",