{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2124ebe9",
   "metadata": {},
   "source": [
    "# Import Stackup\n",
    "This example shows how to import stackup file."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "921a4d7b",
   "metadata": {},
   "source": [
    "## Import the required packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "97cf3dab",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "from pathlib import Path\n",
    "import tempfile\n",
    "\n",
    "from IPython.display import display\n",
    "from ansys.aedt.core.downloads import download_file\n",
    "import pandas as pd\n",
    "\n",
    "from pyedb import Edb\n",
    "\n",
    "AEDT_VERSION = \"2024.2\"\n",
    "NG_MODE = False\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c2aa717",
   "metadata": {},
   "source": [
    "Download the example PCB data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d29ecc22",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_folder = tempfile.TemporaryDirectory(suffix=\".ansys\")\n",
    "file_edb = download_file(source=\"edb/ANSYS-HSD_V1.aedb\", destination=temp_folder.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ac2b3f4",
   "metadata": {},
   "source": [
    "## Load example layout."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "805d3c65",
   "metadata": {},
   "outputs": [],
   "source": [
    "edbapp = Edb(file_edb, edbversion=AEDT_VERSION)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49899120",
   "metadata": {},
   "source": [
    "## Review original stackup definition"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99a2af6f",
   "metadata": {},
   "source": [
    "Get original stackup definition in a dictionary. Alternatively, stackup definition can be exported in a json file by\n",
    "edbapp.configuration.export()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be1b6bec",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "data_cfg = edbapp.configuration.get_data_from_db(stackup=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e0ec46fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data=data_cfg[\"stackup\"][\"layers\"])\n",
    "display(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "271a05d7",
   "metadata": {},
   "source": [
    "## Modify stackup"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e01f543",
   "metadata": {},
   "source": [
    "Modify top layer thickness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5ea12e2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_cfg[\"stackup\"][\"layers\"][0][\"thickness\"] = 0.00005"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2007429",
   "metadata": {},
   "source": [
    "Add a solder mask layer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf94b16d",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_cfg[\"stackup\"][\"layers\"].insert(\n",
    "    0, {\"name\": \"soler_mask\", \"type\": \"dielectric\", \"material\": \"Megtron4\", \"fill_material\": \"\", \"thickness\": 0.00002}\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6dbdc1bc",
   "metadata": {},
   "source": [
    "Review modified stackup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "783a9aba",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data=data_cfg[\"stackup\"][\"layers\"])\n",
    "display(df.head(3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "373ec742",
   "metadata": {},
   "source": [
    "Write stackup definition into a json file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b869b795",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "file_cfg = Path(temp_folder.name) / \"edb_configuration.json\"\n",
    "with open(file_cfg, \"w\") as f:\n",
    "    json.dump(data_cfg, f, indent=4, ensure_ascii=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4179b4c8",
   "metadata": {},
   "source": [
    "## Load stackup from json configuration file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fded4fa5",
   "metadata": {},
   "outputs": [],
   "source": [
    "edbapp.configuration.load(file_cfg, apply_file=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1911b29c",
   "metadata": {},
   "source": [
    "Plot stackup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0331e6bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "edbapp.stackup.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bdde3c0",
   "metadata": {},
   "source": [
    "Check top layer thickness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d038bf4",
   "metadata": {},
   "outputs": [],
   "source": [
    "edbapp.stackup[\"1_Top\"].thickness"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91864905",
   "metadata": {},
   "source": [
    "## Save and close Edb\n",
    "The temporary folder will be deleted once the execution of this script is finished. Replace **edbapp.save()** with\n",
    "**edbapp.save_as(\"C:/example.aedb\")** to keep the example project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e4cbd5b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "edbapp.save()\n",
    "edbapp.close()"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "cell_metadata_filter": "-all",
   "main_language": "python",
   "notebook_metadata_filter": "-all"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}