{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "87e856fe",
   "metadata": {},
   "source": [
    "# Analog IO\n",
    "The Red Pitaya features a set of 4 auxiliary analog inputs and 4 auxiliary analog outputs, based on the Zynq-7000 XADC (12-bit, 4x250kSa/s) and filtered PWM (12-bit, fc=190kHz). In this example we perform an analog ramp-up and ramp-down on analog_out_0 and analog_out_1, which are captured on analog_in_0 and analog_in_1. \n",
    "\n",
    "Required hardware connection (see [README](https://github.com/dspsandbox/OpenLabCtrl/blob/main/README.md#ios--pin-mapping) for IO Names and Pin Mapping):\n",
    "*  Header wires between analog_out_0 <-> analog_in_0 \n",
    "*  Header wires between analog_out_1 <-> analog_in_1 \n",
    " \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "679134fe",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "607b9c7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import time \n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from openlabctrl.device import Rp_125_14_Z7010\n",
    "from openlabctrl.sequence import IoSequence\n",
    "from openlabctrl.frame import IoSyncFrame\n",
    "from openlabctrl.io.scope import ScopeSource"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43fb4f95",
   "metadata": {},
   "source": [
    "### Device instances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "563af75c",
   "metadata": {},
   "outputs": [],
   "source": [
    "rp_0 = Rp_125_14_Z7010(ip=\"192.168.1.143\", label=\"rp_0\", force=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0436c2e7",
   "metadata": {},
   "source": [
    "### IO Sequences & IO Frames instances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6e410a24",
   "metadata": {},
   "outputs": [],
   "source": [
    "seq = IoSequence(device_list=[rp_0])\n",
    "fr_0 = IoSyncFrame(device_type=Rp_125_14_Z7010, trig=None)\n",
    "fr_1 = IoSyncFrame(device_type=Rp_125_14_Z7010, trig=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5930f84",
   "metadata": {},
   "source": [
    "### Frame definitions \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0406fc31",
   "metadata": {},
   "outputs": [],
   "source": [
    "#FRAME O (initialization)\n",
    "fr_0.reset()\n",
    "\n",
    "fr_0.analog_out_0.duty_cycle(0)\n",
    "fr_0.analog_out_1.duty_cycle(1)\n",
    "fr_0.delay(10000)\n",
    "\n",
    "#FRAME 1 (PWM sweep)\n",
    "fr_1.reset()\n",
    "fr_1.scope_0.source(ScopeSource.ANALOG_IN_0)\n",
    "fr_1.scope_1.source(ScopeSource.ANALOG_IN_1)\n",
    "fr_1.scope_0.decimation(500) # 250kSa/s\n",
    "fr_1.scope_1.decimation(500) # 250kSa/s\n",
    "fr_1.scope_0.acquire(400, label=\"acq_1\")\n",
    "fr_1.scope_1.acquire(400, label=\"acq_2\")\n",
    "fr_1.delay(1000)\n",
    "fr_1.set_time_increment(500) # 250kSa/s\n",
    "for i in range(256):\n",
    "    fr_1.analog_out_0.duty_cycle(i/256)\n",
    "    fr_1.analog_out_1.duty_cycle(1 - i/256)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d3c09a3",
   "metadata": {},
   "source": [
    "### Sequence definition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1430a2e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------------+\n",
      "| rp_0@192.168.1.143 |\n",
      "+--------------------+\n",
      "| init               |\n",
      "| analog sweep       |\n",
      "+--------------------+\n",
      "NOTE: Frames with (*) are triggered by external trigger source.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "seq.reset()\n",
    "seq.add_frame(frame=fr_0, device=rp_0, label=\"init\")\n",
    "seq.add_frame(frame=fr_1, device=rp_0, label=\"analog sweep\")\n",
    "\n",
    "print(seq.sequence_description())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14044a39",
   "metadata": {},
   "source": [
    "### Upload & Run sequence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b47594a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "seq.upload()\n",
    "seq.start()\n",
    "while not seq.is_done():\n",
    "    if seq.is_error():\n",
    "        print(\"Sequence error. Please check status.\")\n",
    "        break\n",
    "    time.sleep(0.01)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e697bc2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'rp_0@192.168.1.143': {'enabled': True,\n",
       "  'done': True,\n",
       "  'error': False,\n",
       "  'current_frame': 'analog sweep',\n",
       "  'io': {'rf_out_0': {'error': False, 'done': True},\n",
       "   'rf_out_1': {'error': False, 'done': True},\n",
       "   'digital_io_0': {'error': False, 'done': True},\n",
       "   'digital_io_1': {'error': False, 'done': True},\n",
       "   'digital_io_2': {'error': False, 'done': True},\n",
       "   'digital_io_3': {'error': False, 'done': True},\n",
       "   'analog_out_0': {'error': False, 'done': True},\n",
       "   'analog_out_1': {'error': False, 'done': True},\n",
       "   'analog_out_2': {'error': False, 'done': True},\n",
       "   'analog_out_3': {'error': False, 'done': True},\n",
       "   'scope_0': {'error': False, 'done': True},\n",
       "   'scope_1': {'error': False, 'done': True},\n",
       "   'led': {'error': False, 'done': True}}}}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seq.get_status()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7efcbba4",
   "metadata": {},
   "outputs": [],
   "source": [
    "seq.stop()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0dec271b",
   "metadata": {},
   "source": [
    "### Plot acquisitions\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2d77b2b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Device: rp_0@192.168.1.143\n",
      "Frame: analog sweep\n",
      "Scope: scope_0\n",
      "Label: acq_1\n",
      "Time: 2\n",
      "Decimation: 500\n",
      "Samples: 400\n",
      "Source: ANALOG_IN_0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Device: rp_0@192.168.1.143\n",
      "Frame: analog sweep\n",
      "Scope: scope_1\n",
      "Label: acq_2\n",
      "Time: 2\n",
      "Decimation: 500\n",
      "Samples: 400\n",
      "Source: ANALOG_IN_1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scope_dict = seq.get_scope()\n",
    "\n",
    "for device_id in scope_dict.keys():\n",
    "    for frame_label in scope_dict[device_id].keys():\n",
    "        for scope_label in scope_dict[device_id][frame_label].keys():\n",
    "            for acq_label in scope_dict[device_id][frame_label][scope_label].keys():\n",
    "                t = scope_dict[device_id][frame_label][scope_label][acq_label][\"t\"]\n",
    "                dec = scope_dict[device_id][frame_label][scope_label][acq_label][\"dec\"]\n",
    "                samples = scope_dict[device_id][frame_label][scope_label][acq_label][\"samples\"]\n",
    "                src = scope_dict[device_id][frame_label][scope_label][acq_label][\"src\"]\n",
    "                data = scope_dict[device_id][frame_label][scope_label][acq_label][\"data\"]\n",
    "                print(f\"Device: {device_id}\")\n",
    "                print(f\"Frame: {frame_label}\")\n",
    "                print(f\"Scope: {scope_label}\")\n",
    "                print(f\"Label: {acq_label}\")\n",
    "                print(f\"Time: {t}\")\n",
    "                print(f\"Decimation: {dec}\")\n",
    "                print(f\"Samples: {samples}\")\n",
    "                print(f\"Source: {src}\")\n",
    "                plt.figure()\n",
    "                plt.plot(data)\n",
    "                plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "826b0106",
   "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": "3.10.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}