{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demo: Notebook Startup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "I Thu-17:24:34.649: **************************************** Bluesky Startup Initialized\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Below are the IPython logging settings for your session.\n",
      "These settings have no impact on your experiment.\n",
      "\n",
      "Activating auto-logging. Current session state plus future input saved.\n",
      "Filename       : /home/beams1/JEMIAN/Documents/projects/BCDA-APS/bs_model_instrument/docs/source/.logs/ipython_log.py\n",
      "Mode           : rotate\n",
      "Output logging : True\n",
      "Raw input log  : False\n",
      "Timestamping   : True\n",
      "State          : active\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "W Thu-17:24:36.071: APS DM setup file does not exist: '/home/dm/etc/dm.setup.sh'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Exception reporting mode: Minimal\n",
      "\n",
      "End of IPython settings\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "I Thu-17:24:40.706: Databroker catalog: temp\n",
      "I Thu-17:24:41.271: RunEngine metadata saved in directory: /home/beams/JEMIAN/.config/Bluesky_RunEngine_md\n",
      "I Thu-17:24:41.296: using ophyd control layer: 'pyepics'\n",
      "I Thu-17:24:42.053: SPEC data file: /home/beams1/JEMIAN/Documents/projects/BCDA-APS/bs_model_instrument/docs/source/20241031-172442.dat\n"
     ]
    }
   ],
   "source": [
    "from apsbits.demo_instrument.startup import *  # noqa"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the plans with simulated controls."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sim_print_plan(): This is a test.\n",
      "sim_print_plan():  sim_motor.position=0  sim_det.read()=OrderedDict([('noisy_det', {'value': 1.0248434173924217, 'timestamp': 1730413480.6081476})]).\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "()"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RE(sim_print_plan())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Transient Scan ID: 3     Time: 2024-10-31 17:24:42\n",
      "Persistent Unique Scan ID: '10ad31d3-fda1-4450-8c68-36c8c6808e54'\n",
      "New stream: 'primary'\n",
      "+-----------+------------+------------+\n",
      "|   seq_num |       time |  noisy_det |\n",
      "+-----------+------------+------------+\n",
      "|         1 | 17:24:42.3 |   9999.999 |\n",
      "+-----------+------------+------------+\n",
      "generator count ['10ad31d3'] (scan num: 3)\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "('10ad31d3-fda1-4450-8c68-36c8c6808e54',)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RE(sim_count_plan())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sim_rel_scan_plan(): sim_motor.position=0.\n",
      "sim_rel_scan_plan(): sim_det.read()=OrderedDict([('noisy_det', {'value': 9999.999278102245, 'timestamp': 1730413482.3491757})]).\n",
      "sim_rel_scan_plan(): sim_det.read_configuration()=OrderedDict([('noisy_det_Imax', {'value': 10000, 'timestamp': 1730413482.4878476}), ('noisy_det_center', {'value': 0, 'timestamp': 1730413482.489344}), ('noisy_det_sigma', {'value': 1, 'timestamp': 1730413482.4905345}), ('noisy_det_noise', {'value': 'uniform', 'timestamp': 1730413482.4932268}), ('noisy_det_noise_multiplier', {'value': 0.1, 'timestamp': 1730413480.6077008})]).\n",
      "sim_rel_scan_plan(): sim_det.noise._enum_strs=('none', 'poisson', 'uniform').\n",
      "\n",
      "\n",
      "Transient Scan ID: 4     Time: 2024-10-31 17:24:42\n",
      "Persistent Unique Scan ID: '7f50cc40-0a89-4c30-9894-c1cf257f0946'\n",
      "New stream: 'primary'\n",
      "+-----------+------------+------------+------------+\n",
      "|   seq_num |       time |      motor |  noisy_det |\n",
      "+-----------+------------+------------+------------+\n",
      "|         1 | 17:24:42.5 |     -2.500 |    439.283 |\n",
      "|         2 | 17:24:42.6 |     -2.000 |   1353.366 |\n",
      "|         3 | 17:24:42.7 |     -1.500 |   3246.447 |\n",
      "|         4 | 17:24:42.7 |     -1.000 |   6065.363 |\n",
      "|         5 | 17:24:42.8 |     -0.500 |   8825.050 |\n",
      "|         6 | 17:24:42.9 |      0.000 |   9999.999 |\n",
      "|         7 | 17:24:42.9 |      0.500 |   8824.966 |\n",
      "|         8 | 17:24:43.0 |      1.000 |   6065.309 |\n",
      "|         9 | 17:24:43.0 |      1.500 |   3246.490 |\n",
      "|        10 | 17:24:43.1 |      2.000 |   1353.368 |\n",
      "|        11 | 17:24:43.1 |      2.500 |    439.322 |\n",
      "+-----------+------------+------------+------------+\n",
      "generator rel_scan ['7f50cc40'] (scan num: 4)\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "('7f50cc40-0a89-4c30-9894-c1cf257f0946',)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "RE(sim_rel_scan_plan())"
   ]
  }
 ],
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