{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c27195b0",
   "metadata": {},
   "source": [
    "# Magnetomotive force along a line\n",
    "\n",
    "This example shows how to use PyAEDT to calculate\n",
    "the magnetomotive force along a line that changes position.\n",
    "It shows how to leverage the PyAEDT advanced fields calculator\n",
    "to insert a custom formula, which in this case is the integral\n",
    "of the H field along a line.\n",
    "The example shows two options to achieve the intent.\n",
    "The first one creates many lines as to simulate a contour that changes position.\n",
    "The integral of the H field is computed for each line.\n",
    "The second option creates one parametric polyline and then uses a parametric sweep to change its position.\n",
    "The integral of the H field is computed for each position."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14cd2013",
   "metadata": {},
   "source": [
    "Keywords: **Maxwell 2D**, **magnetomotive force**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8b2ace0",
   "metadata": {},
   "source": [
    "## Perform imports and define constants\n",
    "\n",
    "Perform required imports."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d280ab35",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tempfile\n",
    "import time\n",
    "\n",
    "import ansys.aedt.core\n",
    "from ansys.aedt.core.examples.downloads import download_file"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c33b8a4",
   "metadata": {},
   "source": [
    "Define constants."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f71956af",
   "metadata": {},
   "outputs": [],
   "source": [
    "AEDT_VERSION = \"2025.2\"\n",
    "NUM_CORES = 4\n",
    "NG_MODE = False  # Open AEDT UI when it is launched."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d019510",
   "metadata": {},
   "source": [
    "## Create temporary directory\n",
    "\n",
    "Create a temporary directory where downloaded data or\n",
    "dumped data can be stored.\n",
    "If you'd like to retrieve the project data for subsequent use,\n",
    "the temporary folder name is given by ``temp_folder.name``."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92b80218",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_folder = tempfile.TemporaryDirectory(suffix=\".ansys\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a31c0ed",
   "metadata": {},
   "source": [
    "## Import project\n",
    "\n",
    "Download the files required to run this example to the temporary working folder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f4c0c0b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "project_path = download_file(\n",
    "    source=\"maxwell_magnetic_force\",\n",
    "    name=\"Maxwell_Magnetic_Force.aedt\",\n",
    "    local_path=temp_folder.name,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8812ada",
   "metadata": {},
   "source": [
    "## Initialize and launch Maxwell 2D\n",
    "\n",
    "Initialize and launch Maxwell 2D, providing the version and the path of the project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2ac33a2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "m2d = ansys.aedt.core.Maxwell2d(\n",
    "    version=AEDT_VERSION,\n",
    "    non_graphical=NG_MODE,\n",
    "    project=project_path,\n",
    "    new_desktop=True,\n",
    "    design=\"Maxwell2DDesign1\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec004100",
   "metadata": {},
   "source": [
    "# First option"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6699cddd",
   "metadata": {},
   "source": [
    "## Create a polyline\n",
    "\n",
    "Create a polyline, specifying its ends."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b9d5b7ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "poly = m2d.modeler.create_polyline(points=[[10, -10, 0], [10, 10, 0]], name=\"polyline\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca1b8c7f",
   "metadata": {},
   "source": [
    "Duplicate the polyline along a vector."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "99d3464c",
   "metadata": {},
   "outputs": [],
   "source": [
    "polys = [poly.name]\n",
    "polys.extend(poly.duplicate_along_line(vector=[-0.5, 0, 0], clones=10))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1eb2410",
   "metadata": {},
   "source": [
    "## Compute magnetomotive force along each line\n",
    "\n",
    "Create and add a new formula to add in the PyAEDT advanced fields calculator.\n",
    "Create the fields report object and get field data.\n",
    "Create a data table report for the H field along each line and export it to a .csv file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "921cc54a",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_expression = {\n",
    "    \"name\": None,\n",
    "    \"description\": \"Magnetomotive force along a line\",\n",
    "    \"design_type\": [\"Maxwell 2D\", \"Maxwell 3D\"],\n",
    "    \"fields_type\": [\"Fields\"],\n",
    "    \"primary_sweep\": \"distance\",\n",
    "    \"assignment\": None,\n",
    "    \"assignment_type\": [\"Line\"],\n",
    "    \"operations\": [\n",
    "        \"Fundamental_Quantity('H')\",\n",
    "        \"Operation('Tangent')\",\n",
    "        \"Operation('Dot')\",\n",
    "        \"EnterLine('assignment')\",\n",
    "        \"Operation('LineValue')\",\n",
    "        \"Operation('Integrate')\",\n",
    "    ],\n",
    "    \"report\": [\"Data Table\"],\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4487273e",
   "metadata": {},
   "outputs": [],
   "source": [
    "quantities = []\n",
    "for p in polys:\n",
    "    quantity = \"H_field_{}\".format(p)\n",
    "    quantities.append(quantity)\n",
    "    my_expression[\"name\"] = quantity\n",
    "    my_expression[\"assignment\"] = quantity\n",
    "    m2d.post.fields_calculator.add_expression(my_expression, p)\n",
    "    report = m2d.post.create_report(\n",
    "        expressions=quantity,\n",
    "        report_category=\"Fields\",\n",
    "        plot_type=\"Data Table\",\n",
    "        plot_name=quantity\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "604eed96",
   "metadata": {},
   "source": [
    "# Second option"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04401b62",
   "metadata": {},
   "source": [
    "## Create a design variable\n",
    "\n",
    "Parametrize the polyline x position."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "56484e0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "m2d[\"xl\"] = \"10mm\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eea468ee",
   "metadata": {},
   "source": [
    "## Create polyline\n",
    "\n",
    "Create a parametrized polyline, specifying its ends."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e0faafec",
   "metadata": {},
   "outputs": [],
   "source": [
    "poly = m2d.modeler.create_polyline(\n",
    "    points=[[\"xl\", -10, 0], [\"xl\", 10, 0]], name=\"polyline_sweep\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8961298",
   "metadata": {},
   "source": [
    "## Add parametric sweep\n",
    "\n",
    "Add a parametric sweep where the parameter to sweep is ``xl``.\n",
    "Create a linear step sweep from ``10mm`` to ``15mm`` every ``1mm`` step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "18e94659",
   "metadata": {},
   "outputs": [],
   "source": [
    "param_sweep = m2d.parametrics.add(\n",
    "    variable=\"xl\",\n",
    "    start_point=\"10mm\",\n",
    "    end_point=\"15mm\",\n",
    "    step=1,\n",
    "    variation_type=\"LinearStep\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4543f5f",
   "metadata": {},
   "source": [
    "## Compute magnetomotive force along the line\n",
    "\n",
    "Create and add a new formula to add in the PyAEDT advanced fields calculator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6ce8aea7",
   "metadata": {},
   "outputs": [],
   "source": [
    "quantity_sweep = \"H_field_{}\".format(poly.name)\n",
    "my_expression[\"name\"] = quantity_sweep\n",
    "my_expression[\"assignment\"] = poly.name\n",
    "m2d.post.fields_calculator.add_expression(my_expression, poly.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68936eb6",
   "metadata": {},
   "source": [
    "## Add parametric sweep calculation specifying the quantity (H) and save fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "76702284",
   "metadata": {},
   "outputs": [],
   "source": [
    "param_sweep.add_calculation(calculation=quantity_sweep, report_type=\"Fields\", ranges={})\n",
    "param_sweep.props[\"ProdOptiSetupDataV2\"][\"SaveFields\"] = True"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7288c51d",
   "metadata": {},
   "source": [
    "## Create data table report\n",
    "\n",
    "Create a data table report to display H for each polyline position."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d0511b50",
   "metadata": {},
   "outputs": [],
   "source": [
    "report_sweep = m2d.post.create_report(\n",
    "    expressions=quantity_sweep,\n",
    "    report_category=\"Fields\",\n",
    "    plot_type=\"Data Table\",\n",
    "    plot_name=quantity_sweep,\n",
    "    primary_sweep_variable=\"xl\",\n",
    "    variations={\"xl\": \"All\"},\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53975ef8",
   "metadata": {},
   "source": [
    "## Analyze parametric sweep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47112483",
   "metadata": {},
   "outputs": [],
   "source": [
    "param_sweep.analyze(cores=NUM_CORES)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc25b1fc",
   "metadata": {},
   "source": [
    "## Export results\n",
    "\n",
    "Export results in a .csv file for the parametric sweep analysis (second option)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "adb6a74b",
   "metadata": {},
   "outputs": [],
   "source": [
    "m2d.post.export_report_to_csv(\n",
    "    project_dir=temp_folder.name,\n",
    "    plot_name=quantity_sweep,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8032a662",
   "metadata": {},
   "source": [
    "Export results in a .csv file for each polyline (first option)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82dfcceb",
   "metadata": {},
   "outputs": [],
   "source": [
    "[\n",
    "    m2d.post.export_report_to_csv(\n",
    "        project_dir=temp_folder.name,\n",
    "        plot_name=q,\n",
    "    )\n",
    "    for q in quantities\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7b0f6c1",
   "metadata": {},
   "source": [
    "## Release AEDT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0bad57ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "m2d.save_project()\n",
    "m2d.release_desktop()\n",
    "# Wait 3 seconds to allow AEDT to shut down before cleaning the temporary directory.\n",
    "time.sleep(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb9e8df8",
   "metadata": {},
   "source": [
    "## Clean up\n",
    "\n",
    "All project files are saved in the folder ``temp_folder.name``.\n",
    "If you've run this example as a Jupyter notebook, you\n",
    "can retrieve those project files. The following cell\n",
    "removes all temporary files, including the project folder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c32a674",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_folder.cleanup()"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "cell_metadata_filter": "-all",
   "main_language": "python",
   "notebook_metadata_filter": "-all"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}