{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "30681e56",
   "metadata": {},
   "source": [
    "# 🧪 Test Planetary Computer Connection\n",
    "\n",
    "Notebook này test kết nối và load dữ liệu từ Microsoft Planetary Computer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e32c8eca",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.insert(0, '/media/x79/2A7D-FAA0/remote-sensing')\n",
    "\n",
    "from load_data_no_odc import load_sentinel2_stac, load_sentinel1_stac\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "print(\"✅ Module imported successfully\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "501dd8ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Small test area (1 month, small bbox)\n",
    "bbox = (105.8, 9.5, 106.0, 9.7)  # Small area in Mekong Delta\n",
    "date_range = (\"2023-01-01\", \"2023-01-31\")  # 1 month only\n",
    "\n",
    "print(f\"Test parameters:\")\n",
    "print(f\"  Bbox: {bbox}\")\n",
    "print(f\"  Date: {date_range}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "187e2c1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Test Sentinel-2\n",
    "print(\"\\n\" + \"=\" * 70)\n",
    "print(\"Testing Sentinel-2 L2A\")\n",
    "print(\"=\" * 70)\n",
    "\n",
    "data_s2 = load_sentinel2_stac(\n",
    "    bbox=bbox,\n",
    "    date_range=date_range,\n",
    "    bands=['red', 'green', 'blue', 'nir08', 'SCL'],\n",
    "    resolution=60  # Lower resolution for faster test\n",
    ")\n",
    "\n",
    "if data_s2 is not None:\n",
    "    print(f\"\\n✅ SUCCESS! Sentinel-2 loaded\")\n",
    "    print(f\"   Dims: {dict(data_s2.dims)}\")\n",
    "    print(f\"   Vars: {list(data_s2.data_vars)}\")\n",
    "else:\n",
    "    print(\"\\n❌ Failed to load Sentinel-2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e688f3b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Test Sentinel-1\n",
    "print(\"\\n\" + \"=\" * 70)\n",
    "print(\"Testing Sentinel-1 RTC\")\n",
    "print(\"=\" * 70)\n",
    "\n",
    "data_s1 = load_sentinel1_stac(\n",
    "    bbox=bbox,\n",
    "    date_range=date_range,\n",
    "    bands=['vv', 'vh'],\n",
    "    resolution=60  # Lower resolution for faster test\n",
    ")\n",
    "\n",
    "if data_s1 is not None:\n",
    "    print(f\"\\n✅ SUCCESS! Sentinel-1 loaded\")\n",
    "    print(f\"   Dims: {dict(data_s1.dims)}\")\n",
    "    print(f\"   Vars: {list(data_s1.data_vars)}\")\n",
    "else:\n",
    "    print(\"\\n❌ Failed to load Sentinel-1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "211796a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualize if data loaded successfully\n",
    "if data_s2 is not None:\n",
    "    print(\"\\n📊 Visualizing Sentinel-2 RGB composite...\")\n",
    "    \n",
    "    # Select first timestep\n",
    "    rgb = data_s2[['red', 'green', 'blue']].isel(time=0)\n",
    "    \n",
    "    # Plot\n",
    "    fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
    "    \n",
    "    rgb['red'].plot(ax=axes[0], cmap='Reds')\n",
    "    axes[0].set_title('Red band')\n",
    "    \n",
    "    rgb['green'].plot(ax=axes[1], cmap='Greens')\n",
    "    axes[1].set_title('Green band')\n",
    "    \n",
    "    rgb['blue'].plot(ax=axes[2], cmap='Blues')\n",
    "    axes[2].set_title('Blue band')\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "    \n",
    "    print(\"✅ Visualization complete!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4e29a09",
   "metadata": {},
   "source": [
    "## ✅ Results\n",
    "\n",
    "Nếu cả 2 tests đều pass:\n",
    "- ✅ Kết nối Planetary Computer OK\n",
    "- ✅ Load Sentinel-2 OK\n",
    "- ✅ Load Sentinel-1 OK\n",
    "- ✅ Sẵn sàng sử dụng cho training!\n",
    "\n",
    "Next step: Sử dụng `01.train_DecisionTree_PlanetaryComputer.ipynb` để train model"
   ]
  }
 ],
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  "language_info": {
   "name": "python"
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