{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "831a8e7b",
   "metadata": {},
   "source": [
    "# Labelling example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "35e8f9f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logging hadn't been started.\n",
      "Activating auto-logging. Current session state plus future input saved.\n",
      "Filename       : /Users/jana/.qcodes/logs/command_history.log\n",
      "Mode           : append\n",
      "Output logging : True\n",
      "Raw input log  : False\n",
      "Timestamping   : True\n",
      "State          : active\n",
      "Qcodes Logfile : /Users/jana/.qcodes/logs/210810-3670-qcodes.log\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "import os\n",
    "from PyQt5.QtWidgets import QApplication\n",
    "import nanotune as nt\n",
    "from nanotune.labelling.labellingtool import LabellingTool\n",
    "from nanotune.labelling.manipulate_labels import correct_label, print_label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ab84d3dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "nt_root = os.path.dirname(os.path.dirname(os.path.abspath(nt.__file__)))\n",
    "db_tuning = os.path.join(nt_root, 'data', 'tuning')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "80130e22",
   "metadata": {},
   "outputs": [],
   "source": [
    "app = QApplication(sys.argv)\n",
    "Gui = LabellingTool(experiment_id=1, db_name='dot_tuning_sequences.db', db_folder=db_tuning, start_over=True)\n",
    "_ = app.exec_()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da1b0e4b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "75343f78",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "52cb011d",
   "metadata": {},
   "source": [
    "Print label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d3c72aae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset 1203 in device_characterization.db: \n",
      "good pinchoff.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print_label(1203, 'device_characterization.db', db_folder=db_tuning)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9b5bed2",
   "metadata": {},
   "source": [
    "Correct or change label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "eb0bc015",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Print the incorrect label just set: \n",
      "\n",
      "Dataset 1203 in device_characterization.db: \n",
      "poor pinchoff.\n",
      "\n",
      " Print label after correcting it: \n",
      "\n",
      "Dataset 1203 in device_characterization.db: \n",
      "good pinchoff.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "correct_label(1203, 'device_characterization.db', 'pinchoff', 0, db_tuning)\n",
    "print('Print the incorrect label just set: \\n')\n",
    "print_label(1203, 'device_characterization.db', db_folder=db_tuning)\n",
    "correct_label(1203, 'device_characterization.db', 'pinchoff', 1, db_tuning)\n",
    "print('\\n Print label after correcting it: \\n')\n",
    "print_label(1203, 'device_characterization.db', db_folder=db_tuning, plot_data=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "538cc203",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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