APSToolkitPython/Tutorials/04.03. Explore Acad Data With APSToolkit.ipynb

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 "cells": [
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   "source": [
    "<table align=\"left\">\n",
    "  <td style=\"text-align: center\">\n",
    "    <a href=\"https://colab.research.google.com/github/chuongmep/aps-toolkit/blob/dev/APSToolkitPython/Tutorials/04.03.%20Explore%20Acad%20Data%20With%20APSToolkit.ipynb\">\n",
    "      <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Google Colaboratory logo\"><br> Run in Colab\n",
    "    </a>\n",
    "  </td>\n",
    "  <td style=\"text-align: center\">\n",
    "    <a href=\"https://github.com/chuongmep/aps-toolkit/blob/dev/APSToolkitPython/Tutorials/04.03.%20Explore%20Acad%20Data%20With%20APSToolkit.ipynb\">\n",
    "      <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\"><br> View on GitHub\n",
    "    </a>\n",
    "  </td>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table align=\"left\">\n",
    "  <tr>\n",
    "    <td>Author(s)</td>\n",
    "    <td><a href=\"https://github.com/chuongmep\" id=\"author-link\">Chuong Ho</a></td>\n",
    "    <!-- <td><a href=\"<your repo>\" id=\"github-link\">YourName</a></td> -->\n",
    "  </tr>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "source": [
    "%pip install aps-toolkit --upgrade"
   ],
   "outputs": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "source": [
    "from aps_toolkit import Auth\n",
    "import pandas as pd"
   ],
   "outputs": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "source": [
    "token = Auth().auth2leg()"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Auth Via Google Colab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "source": [
    "# from google.colab import userdata\n",
    "# client_id = userdata.get('APS_CLIENT_ID')\n",
    "# client_secret = userdata.get('APS_CLIENT_SECRET')\n",
    "# auth = Auth(client_id, client_secret)\n",
    "# token = auth.auth2leg()"
   ],
   "outputs": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "source": [
    "urn = \"dXJuOmFkc2sud2lwcHJvZDpmcy5maWxlOnZmLm5KaEpjQkQ1UXd1bjlIV1ktNWViQmc_dmVyc2lvbj0x\""
   ],
   "outputs": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "source": [
    "from aps_toolkit import PropDbReaderCad\n",
    "prob_reader = PropDbReaderCad(urn,token)"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### I want get document info Cad file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "source": [
    "prob_reader.get_document_info()"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### I want get all cad categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "source": [
    "dict_categories = prob_reader.get_all_categories()\n",
    "dict_categories"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### I want get all cad layers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "source": [
    "prob_reader.get_all_layers()"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### I want get all parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "source": [
    "props_names = prob_reader.get_all_properties_names()\n",
    "props_names[:20]"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### I want get data by category cad\n",
    "Example : Lines, Circles, Arcs, Texts, Mtexts, Blocks, Layers, Layouts, Blocks, BlockReferences, BlockAttributes, Block"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "source": [
    "prob_reader.get_data_by_category(\"Lines\")"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### I want get data by list of cad categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "source": [
    "prob_reader.get_data_by_categories([\"Lines\",\"Circles\"])"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### I want get data by categories and parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "source": [
    "prob_reader.get_data_by_categories_and_params([\"Lines\",\"Blocks\"], [\"elementId\",\"Name \",\"Layer\",\"type\",\"Color\"])"
   ],
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### I want get every thing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "source": [
    "df = prob_reader.get_all_data()\n",
    "df.head(20)"
   ],
   "outputs": []
  }
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