{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "822f115d",
   "metadata": {},
   "source": [
    "# Voxelizing the dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52b5878b",
   "metadata": {},
   "source": [
    "For voxelizing the dataset, we first need to load the dataset in its raw `PyVista` format:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1d7e8cc0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded 12 samples from '/Users/ole/Documents/software/flow_field_dataset/docs/usage/datasets/pyvista'.\n",
      "Loaded 12 samples from 'datasets/pyvista'.\n"
     ]
    }
   ],
   "source": [
    "from cooldata.pyvista_flow_field_dataset import PyvistaFlowFieldDataset\n",
    "\n",
    "ds_pv = PyvistaFlowFieldDataset.load_from_huggingface(\n",
    "    num_samples=12, data_dir=\"datasets/pyvista\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9d394ed",
   "metadata": {},
   "source": [
    "Next, we define a voxelization resolution, and create a voxelized dataset. The bounds are automatically determined as the minimum and maximum coordinates over the whole dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9f6bc3ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Voxelizing samples: 100%|██████████| 12/12 [00:04<00:00,  2.75it/s]\n"
     ]
    }
   ],
   "source": [
    "from cooldata.voxel_flow_field_dataset import VoxelFlowFieldDataset, VoxelFlowFieldDatasetConfig\n",
    "\n",
    "ds_voxel = VoxelFlowFieldDataset(\n",
    "    cache_dir=\"datasets/voxels\",\n",
    "    config=VoxelFlowFieldDatasetConfig(\n",
    "        pyvista_dataset=ds_pv, resolution=(32, 16, 16)\n",
    "    ),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a3088f0",
   "metadata": {},
   "source": [
    "Again, we can visualize the samples in 3d:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "dfd4d375",
   "metadata": {
    "tags": [
     "hide-cell"
    ]
   },
   "outputs": [],
   "source": [
    "import pyvista as pv\n",
    "pv.set_jupyter_backend('static')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "92858278",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": "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",
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1024x768>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_voxel[0].plot(\"Pressure\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee862fda",
   "metadata": {},
   "source": [
    "Next, we can plot a slice through the sample:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8bbd032e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_voxel[0].plot_slice(\"Mask\", slice_idx=9,axis=\"z\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03db18bc",
   "metadata": {},
   "source": [
    "Now, in order to train a model, we can convert this to a torch dataset. The samples from this dataset are tuples of the form `(mask, y)`, where `mask` is a 3d tensor of shape `(n_x, n_y, n_z)` that is `True` for all voxels that are occupied with fluid, and `y` is a tensor of shape `(n_x, n_y, n_z, 5)` that contains the flow properties at each voxel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "0d4b23d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([32, 16, 16]) torch.Size([32, 16, 16, 5])\n"
     ]
    }
   ],
   "source": [
    "ds_torch=ds_voxel.get_default_loadable_dataset()\n",
    "mask, y =ds_torch[0]\n",
    "print(mask.shape, y.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9322189f",
   "metadata": {},
   "source": [
    "However, it is often required to normalize the flow properties to have zero mean and unit variance:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "04e0e8a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor(37.3221)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f49eb65",
   "metadata": {},
   "source": [
    "The dataset library implements this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a0f0a1d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor(-0.1331)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_voxel.normalize()\n",
    "ds_torch=ds_voxel.get_default_loadable_dataset()\n",
    "mask, y = ds_torch[0]\n",
    "y.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4714a547",
   "metadata": {},
   "source": [
    "Now, nothing stops us from training a model on this dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "27350738",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([4, 32, 16, 16]) torch.Size([4, 32, 16, 16, 5])\n",
      "tensor(0.0058)\n"
     ]
    }
   ],
   "source": [
    "from torch.utils.data import DataLoader\n",
    "dataloader = DataLoader(ds_torch, batch_size=4, shuffle=True)\n",
    "for batch in dataloader:\n",
    "    mask, y = batch\n",
    "    print(mask.shape, y.shape)\n",
    "    print(y.mean())\n",
    "    # let your own model predict y from the mask\n",
    "    break"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70404c7f",
   "metadata": {},
   "source": [
    "We implemented a simple 3d U-Net [here](https://github.com/peteole/flow_field_dataset/blob/main/examples/voxel_data/train.py)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}