{ "cells": [ { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" }, "slideshow": { "slide_type": "slide" } }, "source": [ "# cjio API tutorial\n", "\n", "In this tutorial we explore what is possible with `cjio`'s API. I refer to `cjio`'s command line interface as *CLI*.\n", "\n", "The CLI is what you use when you invoke `cjio` from the command line, such as:\n", "```\n", "$ cjio some_city_model.json validate\n", "```\n", "\n", "The API is what you use from `cjio` when working with a city model in a Python script.\n", "\n", "**You can play with the executable version of this notebook on Binder** [here](https://mybinder.org/v2/gh/tudelft3d/cjio/develop?filepath=docs%2Fsource%2Fcjio_tutorial.ipynb)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "pycharm": { "is_executing": false } }, "outputs": [], "source": [ "from pathlib import Path\n", "from copy import deepcopy\n", "from cjio import cityjson" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "Set up the paths for the tutorial." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [], "source": [ "package_dir = Path(__name__).resolve().parent.parent.parent\n", "schema_dir = package_dir / 'cjio' / 'schemas'/ '1.0.0'\n", "data_dir = package_dir / 'tests' / 'data'" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" }, "slideshow": { "slide_type": "slide" } }, "source": [ "## Load the city model" ] }, { "attachments": { "rotterdamsubset.png": { "image/png": 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} }, "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" }, "slideshow": { "slide_type": "fragment" } }, "source": [ "\n", "We are working with a subset of the city model of Rotterdam. This file is included with `cjio` as an example data set. We can use the online CityJSON viewer at [viewer.cityjson.org](https://viewer.cityjson.org) to quickly visualise the city model.\n", "![rotterdamsubset.png](attachment:rotterdamsubset.png)" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" }, "slideshow": { "slide_type": "fragment" } }, "source": [ "The `load()` method loads a CityJSON file into a CityJSON object." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "path = data_dir / 'rotterdam' / 'rotterdam_subset.json'\n", "cm = cityjson.load(path)\n", "print(type(cm))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Using the CLI commands in the API\n", "You can use any of the CLI commands on a CityJSON object. However, not all CLI commands are mapped 1-to-1 to CityJSON methods, plus you need to provide the parameters yourself. The reason for this is that the CLI commands are wrapper functions that take care of passing parameters and parsing outputs. And we haven't harmonized the CLI and the API yet. " ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "-- Validating the syntax of the file\n", "\t(using the schemas 1.0.0)\n", "-- Validating the internal consistency of the file (see docs for list)\n", "\t--Vertex indices coherent\n", "\t--Specific for CityGroups\n", "\t--Semantic arrays coherent with geometry\n", "\t--Root properties\n", "\t--Empty geometries\n", "\t--Duplicate vertices\n", "\t--Orphan vertices\n", "\t--CityGML attributes\n" ] }, { "data": { "text/plain": [ "(True,\n", " False,\n", " [],\n", " [\"WARNING: attributes 'TerrainHeight' not in CityGML schema\",\n", " '\\t(16 CityObjects have this warning)',\n", " \"WARNING: attributes 'bron_tex' not in CityGML schema\",\n", " '\\t(16 CityObjects have this warning)',\n", " \"WARNING: attributes 'voll_tex' not in CityGML schema\",\n", " '\\t(16 CityObjects have this warning)',\n", " \"WARNING: attributes 'bron_geo' not in CityGML schema\",\n", " '\\t(16 CityObjects have this warning)',\n", " \"WARNING: attributes 'status' not in CityGML schema\",\n", " '\\t(16 CityObjects have this warning)'])" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cm.validate()" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" }, "slideshow": { "slide_type": "slide" } }, "source": [ "## Explore the city model" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "We can print the basic information about the city model. Note that `print()` returns the same information as the `info` command in the CLI." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{\n", " \"cityjson_version\": \"1.0\",\n", " \"epsg\": 7415,\n", " \"bbox\": [\n", " 90454.18900000001,\n", " 435614.88,\n", " 0.0,\n", " 91002.41900000001,\n", " 436048.217,\n", " 18.29\n", " ],\n", " \"transform/compressed\": true,\n", " \"cityobjects_total\": 16,\n", " \"cityobjects_present\": [\n", " \"Building\"\n", " ],\n", " \"materials\": false,\n", " \"textures\": true\n", "}\n" ] } ], "source": [ "print(cm)" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" }, "slideshow": { "slide_type": "slide" } }, "source": [ "## Working with the objects in the model\n", "### Getting objects from the model\n", "We can get CityObjects by their *type*, or a list of types. Also by their IDs. If no type or ID is provided, `get_cityobjects()` returns all of them, which is equivalent to `cm_r.cityobjects`." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "buildings = cm.get_cityobjects(type='building')\n", "buildings_parts = cm.get_cityobjects(type=['building', 'buildingpart'])\n", "\n", "r_ids = ['{C9D4A5CF-094A-47DA-97E4-4A3BFD75D3AE}',\n", " '{6271F75F-E8D8-4EE4-AC46-9DB02771A031}']\n", "buildings_ids = cm.get_cityobjects(id=r_ids)" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Getting the properties and geometry of objects" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{\n", " \"id\": \"{C9D4A5CF-094A-47DA-97E4-4A3BFD75D3AE}\",\n", " \"type\": \"Building\",\n", " \"attributes\": {\n", " \"TerrainHeight\": 3.03,\n", " \"bron_tex\": \"UltraCAM-X 10cm juni 2008\",\n", " \"voll_tex\": \"complete\",\n", " \"bron_geo\": \"Lidar 15-30 punten - nov. 2008\",\n", " \"status\": \"1\"\n", " },\n", " \"children\": null,\n", " \"parents\": null,\n", " \"geometry_type\": [\n", " \"MultiSurface\"\n", " ],\n", " \"geometry_lod\": [\n", " 2\n", " ],\n", " \"semantic_surfaces\": [\n", " \"RoofSurface\",\n", " \"WallSurface\",\n", " \"GroundSurface\"\n", " ]\n", "}\n" ] } ], "source": [ "b01 = buildings_ids['{C9D4A5CF-094A-47DA-97E4-4A3BFD75D3AE}']\n", "print(b01)" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "The attributes are stored as a dictionary" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "data": { "text/plain": [ "{'TerrainHeight': 3.03,\n", " 'bron_tex': 'UltraCAM-X 10cm juni 2008',\n", " 'voll_tex': 'complete',\n", " 'bron_geo': 'Lidar 15-30 punten - nov. 2008',\n", " 'status': '1'}" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "b01.attributes" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "CityObjects can have *children* and *parents*" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "b01.children is None and b01.parents is None" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "CityObject geometry is a list of `Geometry` objects. That is because a CityObject can have multiple geometry representations in different levels of detail, eg. a geometry in LoD1 and a second geometry in LoD2." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "b01.geometry" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MultiSurface, lod 2\n" ] } ], "source": [ "geom = b01.geometry[0]\n", "print(\"{}, lod {}\".format(geom.type, geom.lod))" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "### Geometry boundaries and Semantic Surfaces\n", "On the contrary to a CityJSON file, the geometry boundaries are dereferenced when working with the API. This means that the vertex coordinates are included in the boundary definition, not only the vertex indices.\n", "\n", "`cjio` doesn't provide specific geometry classes (yet), eg. MultiSurface or Solid class. If you are working with the geometry boundaries, you need to the geometric operations yourself, or cast the boundary to a geometry-class of some other library. For example `shapely` if 2D is enough.\n", "\n", "Note that although the boundary is dereferenced, we *do not* apply the coordinate transformation to the vertices. The transformed coordinates (integers) take less space in memory. See for example the original (transformed) coordinates below. " ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "data": { "text/plain": [ "[[579471, 198217, 10652],\n", " [578109, 202330, 10652],\n", " [577149, 200650, 10652],\n", " [576461, 200406, 10652],\n", " [577481, 197515, 10652]]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# get the first surface\n", "geom.boundaries[0][0]" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "However, applying the transformation is simply done with the `transform()` method. Also note that the Transformation object is an attribute of the city model." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "data": { "text/plain": [ "[(90988.79100000001, 435638.657, 10.652000000000001),\n", " (90987.429, 435642.77, 10.652000000000001),\n", " (90986.46900000001, 435641.09, 10.652000000000001),\n", " (90985.781, 435640.846, 10.652000000000001),\n", " (90986.801, 435637.955, 10.652000000000001)]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tranformation_object = cm.transform\n", "geom_tr = geom.transform(tranformation_object)\n", "# get the first surface\n", "geom_tr.boundaries[0][0]\n" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "In case you want to transform the whole city model, the best if you apply the transformation when loading it. Note that `\"transform/compressed\": false`." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{\n", " \"cityjson_version\": \"1.0\",\n", " \"epsg\": 7415,\n", " \"bbox\": [\n", " 90454.18900000001,\n", " 435614.88,\n", " 0.0,\n", " 91002.41900000001,\n", " 436048.217,\n", " 18.29\n", " ],\n", " \"transform/compressed\": false,\n", " \"cityobjects_total\": 16,\n", " \"cityobjects_present\": [\n", " \"Building\"\n", " ],\n", " \"materials\": false,\n", " \"textures\": true\n", "}\n" ] } ], "source": [ "cm_transformed = cityjson.load(path, transform=True)\n", "print(cm_transformed)" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "Semantic Surfaces are stored in a similar fashion as in a CityJSON file, in the `surfaces` attribute of a Geometry object." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "data": { "text/plain": [ "{0: {'surface_idx': [[0], [1], [2]], 'type': 'RoofSurface'},\n", " 1: {'surface_idx': [[3]], 'type': 'GroundSurface'},\n", " 2: {'surface_idx': [[4],\n", " [5],\n", " [6],\n", " [7],\n", " [8],\n", " [9],\n", " [10],\n", " [11],\n", " [12],\n", " [13],\n", " [14],\n", " [15],\n", " [16],\n", " [17],\n", " [18],\n", " [19]],\n", " 'type': 'WallSurface'}}" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "geom.surfaces" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "The main difference is the presence of the `surface_idx` property. The `surface_idx` is used by the `get_surface_boundaries()` method to efficiently extract the relevant geometry boundaries." ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "data": { "text/plain": [ "{0: {'surface_idx': [[0], [1], [2]], 'type': 'RoofSurface'}}" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "roofs = geom.get_surfaces(type='roofsurface')\n", "roofs" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [ { "data": { "text/plain": [ "[[[[[579471, 198217, 10652],\n", " [578109, 202330, 10652],\n", " [577149, 200650, 10652],\n", " [576461, 200406, 10652],\n", " [577481, 197515, 10652]]],\n", " [[[580840, 194082, 15211],\n", " [579471, 198217, 15211],\n", " [577481, 197515, 15211],\n", " [576461, 200406, 15211],\n", " [572239, 198909, 15211],\n", " [571839, 200119, 15211],\n", " [571503, 201071, 15211],\n", " [566651, 199359, 15211],\n", " [569801, 190223, 15211],\n", " [573253, 191430, 15211],\n", " [574658, 191922, 15211]]],\n", " [[[565589, 202439, 11036],\n", " [566651, 199359, 11036],\n", " [571503, 201071, 11036],\n", " [571839, 200119, 11036],\n", " [573299, 200640, 11036],\n", " [572089, 204029, 11036],\n", " [570629, 203440, 11036],\n", " [570379, 204150, 11036]]]]]" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "roof_boundaries = []\n", "for r in roofs.values():\n", " roof_boundaries.append(geom.get_surface_boundaries(r))\n", "roof_boundaries" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "### Assigning attributes to Semantic Surfaces\n", "In order to change or assign an attribute to the SemanticSurfaces of a CityObject we need to,\n", "\n", "1. extract the surfaces,\n", "2. make the changes on the surface,\n", "3. overwrite the CityObjects with the changes." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [], "source": [ "cm_copy = deepcopy(cm)\n", "new_cos = {}\n", "for co_id, co in cm_copy.cityobjects.items():\n", " new_geoms = []\n", " for geom in co.geometry:\n", " # Only LoD >= 2 models have semantic surfaces\n", " if geom.lod >= 2.0:\n", " # Extract the surfaces\n", " roofsurfaces = geom.get_surfaces('roofsurface')\n", " for i, rsrf in roofsurfaces.items():\n", " # Change the attributes\n", " if 'attributes' in rsrf.keys():\n", " rsrf['attributes']['cladding'] = 'tiles'\n", " else:\n", " rsrf['attributes'] = {}\n", " rsrf['attributes']['cladding'] = 'tiles'\n", " geom.surfaces[i] = rsrf\n", " new_geoms.append(geom)\n", " else:\n", " # Use the unchanged geometry\n", " new_geoms.append(geom)\n", " co.geometry = new_geoms\n", " new_cos[co_id] = co\n", "# Overwrite the CityObjects\n", "cm_copy.cityobjects = new_cos" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Create new Semantic Surfaces\n", "The process is similar as previously. However, in this example we create new SemanticSurfaces that hold the values which we compute from the geometry. The input city model has a single semantic \"WallSurface\", without attributes, for all the walls of a building. The snippet below illustrates how to separate surfaces and assign the semantics to them." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [], "source": [ "new_cos = {}\n", "\n", "for co_id, co in cm_copy.cityobjects.items():\n", " new_geoms = []\n", " \n", " for geom in co.geometry:\n", " if geom.lod >= 2.0:\n", " max_id = max(geom.surfaces.keys())\n", " old_ids = []\n", " \n", " for w_i, wsrf in geom.get_surfaces('wallsurface').items():\n", " old_ids.append(w_i)\n", " del geom.surfaces[w_i]\n", " boundaries = geom.get_surface_boundaries(wsrf)\n", " \n", " for j, boundary_geometry in enumerate(boundaries):\n", " # The original geometry has the same Semantic for all wall, \n", " # but we want to divide the wall surfaces by their orientation, \n", " # thus we need to have the correct surface index\n", " surface_index = wsrf['surface_idx'][j]\n", " new_srf = {\n", " 'type': wsrf['type'],\n", " 'surface_idx': surface_index\n", " }\n", " \n", " for multisurface in boundary_geometry:\n", " # Do any operation here\n", " x, y, z = multisurface[0]\n", " if j % 2 > 0:\n", " orientation = 'north'\n", " else:\n", " orientation = 'south'\n", " \n", " # Add the new attribute to the surface \n", " if 'attributes' in wsrf.keys():\n", " wsrf['attributes']['orientation'] = orientation\n", " else:\n", " wsrf['attributes'] = {}\n", " wsrf['attributes']['orientation'] = orientation\n", " \n", " new_srf['attributes'] = wsrf['attributes']\n", " \n", " # if w_i in geom.surfaces.keys():\n", " # del geom.surfaces[w_i]\n", " \n", " max_id = max_id + 1\n", " geom.surfaces[max_id] = new_srf\n", " \n", " new_geoms.append(geom)\n", " \n", " else:\n", " # If LoD1, just add the geometry unchanged\n", " new_geoms.append(geom)\n", " \n", " co.geometry = new_geoms\n", " new_cos[co_id] = co\n", " \n", "cm_copy.cityobjects = new_cos" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "## Save or Export\n", "At the end, the `save()` method saves the edited city model into a CityJSON file." ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "pycharm": { "is_executing": false, "name": "#%%\n" } }, "outputs": [], "source": [ "p_out = data_dir / 'test_output.json'\n", "cityjson.save(cm_copy, p_out)" ] } ], "metadata": { "celltoolbar": "Slideshow", "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" }, "pycharm": { "stem_cell": { "cell_type": "raw", "metadata": { "collapsed": false }, "source": [] } } }, "nbformat": 4, "nbformat_minor": 1 }