{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Chunk Json Format Demo\n", "---" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A World chunk can be represented in a json style format. That representation will be used for sending new chunks from server to client as well as dumping to and reading chunks from files " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* general style\n", "\n", "```json\n", "\n", "{\n", " \"datatype\": \"world_chunk\",\n", " \"position\": [\"0\",\"0\",\"0\"],\n", " \"data\": \"\"\n", "}\n", "\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## json examples\n", "now we will create a chunk with the World Generator, dumping it as json, and recreate the chunk based on the json dump" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "import sys\n", "sys.path.append(\"../ServerCore\")\n", "\n", "%pylab ipympl\n", "\n", "import matplotlib.image as mpimg\n", "import scipy.ndimage as ndimage\n", "import matplotlib.pyplot as plt\n", "\n", "import numpy as np\n", "\n", "from WorldManager import WorldManager\n", "from Chunk import Chunk" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* create world with single chunk at (0,0,0)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "n_chunks = 3\n", "raw_noise_cell_size = 16\n", "raw_noise_chunk_size = 4\n", "world_seed = 42\n", "c = Chunk.CHUNK_SIDELENGTH\n", "\n", "# create world:\n", "wm = WorldManager(raw_noise_cell_size=raw_noise_cell_size, raw_noise_chunk_size=raw_noise_chunk_size, world_seed=world_seed)\n", "\n", "# create empty chunk at 0,0,0\n", "wm.createEmptyChunk(0,0,0)\n", "wm.applyPerlinToChunk(0,0,0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* print json representation" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "json_string = str(wm.chunks[0][0][0])" ] }, { "cell_type": "code", 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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}\n" ] } ], "source": [ "print(json_string)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* generate new Chunk from that string" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "reconstructed_chunk = Chunk.CreateFromJson(json_string=json_string)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* plotting both chunks to see whether there are the same:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "bc48c6232ac04d3a8bac62f2ca861769", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FigureCanvasNbAgg()" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "original chunk:\n" ] } ], "source": [ "from mpl_toolkits.mplot3d import Axes3D\n", "fig = plt.figure()\n", "ax = fig.gca(projection='3d')\n", "\n", "print(\"original chunk:\")\n", "plot = ax.voxels(np.rollaxis(wm.chunks[0][0][0].block_data,2), edgecolor='k')" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "48e4ef378de0477ea185e731af672812", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FigureCanvasNbAgg()" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "reconstructed chunk:\n" ] } ], "source": [ "\n", "fig2 = plt.figure()\n", "ax2 = fig2.gca(projection='3d')\n", "print(\"reconstructed chunk:\")\n", "plot2 = ax2.voxels(np.rollaxis(reconstructed_chunk.block_data,2), edgecolor='k')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.6.7" } }, "nbformat": 4, "nbformat_minor": 2 }