AN_RB_PLI3.a5.ipynb 488 KB
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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1><center>Analysis of a PLI3.a5 HWC in an RB Circuit</center></h1>\n",
    "<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-apps/raw/master/hwc/rb/figures/RB.png\" width=75%>\n",
    "\n",
    "PLI3.A2 is a simple current cycle at I_INTERM_2 during TIME_INTERM_2, while PLI3.A5 is a current cycle with 2 current levels (I_SM, I_INTERM_2) during TIME_INTERM_2 each. PLI3.A5 can be performed with calorimetric measurement (original purpose). In case of calorimetric measurement, the cryogenic cooling must be stable and maintained constant during the whole cycle. The aim of this test is to check the performance of the current leads and also the splices resistance, and, in case of calorimetric measurements, to detect abnormal heating in the magnets environment.\n",
    "\n",
    "<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-apps/raw/master/hwc/rb/figures/PLI3_current.png\" width=50%>\n",
    "\n",
    "The required analysis and signatures are listed below.\n",
    "\n",
    "|Responsible|Type of analysis|Criterion|\n",
    "|-----------|----------------|---------|\n",
    "-|Automatic analysis on earth current and error current|I_EARTH_PLI2_S1 < I_EARTH_MAX and I_ERR_PLI2_S1 < I_ERR_MAX|\n",
    "MP3|Splice signals|From board A and board B separately R_bus_max <3 nOhm. Individual R_splice_max<0.5nOhm R_mag<50 nOhm|\n",
    "MP3|Current lead|46 < TT891A < 54K; Abs(U_RES)< 40mV; and no drift Abs(U_HTS) < 0.5mV|\n",
    "\n",
    "source: Powering Procedure and Acceptance Criteria for the 13 kA Dipole Circuits, MP3 Procedure, <a href=\"https://edms.cern.ch/document/874713/5.1\">https://edms.cern.ch/document/874713/5.1</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis Assumptions\n",
    "- We consider standard analysis scenarios, i.e., all signals can be queried. Depending on what signal is missing, an analysis can raise a warning and continue or an error and abort the analysis.\n",
    "- In case an analyzed signal can't be queried, a particular analysis is skipped. In other words, all signals have to be available in order to perform an analysis.\n",
    "- It is recommended to execute each cell one after another. However, since the signals are queried prior to an analysis, any order of execution is allowed. In case an analysis cell is aborted, the following ones may not be executed (e.g. I\\_MEAS not present). \n",
    "\n",
    "# Plot Convention\n",
    "- Scales are labeled with signal name followed by a comma and a unit in the square bracket, e.g., I_MEAS, [A]\n",
    "- If a reference signal is present, it is represented with a dashed line\n",
    "- If the main current is present, its axis is on the left. Remaining signals are attached to the axis on the right. The legend of these signals is located on the lower left and upper right, respectively.\n",
    "- The grid comes from the left axis\n",
    "- Title contains timestamp, circuit name, signal name allowing for re-access the signal.\n",
    "- The plots assigned to the left scale got colors: blue (C0) and orange (C1). Plots presented on the right have colors red (C2) and green (C3).\n",
    "- Each plot has an individual time-synchronization mentioned explicitly in the description.\n",
    "- If an axis has a single signal, change color of the label to match the signal's color. Otherwise, the label color is black.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 0. Initialise Working Environment\n",
    "In order to update the lhcsmapi, please execute the following command in the SWAN terminal <a href=\"https://github.com/swan-cern/help/blob/master/swan/open_terminal.md\">[?]</a>:  \n",
    "`pip install --user --upgrade lhcsmapi`\n",
    "## 0.1. Import Necessary Packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "import pandas as pd\n",
    "\n",
    "# NXCALS libraries\n",
    "from cern.nxcals.pyquery.builders import *\n",
    "\n",
    "# lhc-sm-api\n",
    "from lhcsmapi.Time import Time\n",
    "from lhcsmapi.Timer import Timer\n",
    "\n",
    "# GUI\n",
    "from lhcsmapi.gui.hwc.HwcBrowser import HwcBrowser\n",
    "\n",
    "# Query\n",
    "from lhcsmapi.pyedsl.QueryBuilder import QueryBuilder\n",
    "from lhcsmapi.analysis.RbCircuitQuery import RbCircuitQuery\n",
    "\n",
    "# Analysis\n",
    "from lhcsmapi.pyedsl.AssertionBuilder import AssertionBuilder\n",
    "from lhcsmapi.analysis.RbCircuitAnalysis import RbCircuitAnalysis\n",
    "from lhcsmapi.pyedsl.ResistanceBuilder import ResistanceBuilder\n",
    "from lhcsmapi.analysis.CircuitAnalysis import get_current_plateau_start_end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0.2. LHCSMAPI Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysis executed with lhcsmapi version: 1.3.123\n"
     ]
    }
   ],
   "source": [
    "import lhcsmapi\n",
    "print('Analysis executed with lhcsmapi version: {}'.format(lhcsmapi.__version__))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0.3. LHCSMAPPS Version\n",
    "Analysis executed with notebook version: 1.1.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Select PLI3.a5 HWC Test\n",
    "- Choose a circuit name in order to display HWC test with, campaign name as well as start and end time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7d8e4d5d3e24487b998fab4b2d0f1ac8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(Dropdown(description='Circuit name:', options=('RB.A12', 'RB.A23'), value='RB.A1…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "circuit_type = 'RB'\n",
    "hwc_test = 'PLI3.a5'\n",
    "hwc_test_history_df = pd.read_csv('/eos/project/l/lhcsm/hwc/RB/hwc_test_history.csv')\n",
    "hwcb = HwcBrowser(hwc_test_history_df, circuit_type, hwc_test)\n",
    "display(hwcb.widget)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Query All Signals Prior to Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed: 279.989 s.\n"
     ]
    }
   ],
   "source": [
    "circuit_name = hwcb.get_circuit_name()\n",
    "t_start = hwcb.get_start_time()\n",
    "t_end = hwcb.get_end_time()\n",
    "\n",
    "with Timer():\n",
    "    # I_MEAS\n",
    "    i_meas_nxcals_df = QueryBuilder().with_nxcals(spark) \\\n",
    "            .with_duration(t_start=t_start, t_end=t_end) \\\n",
    "            .with_circuit_type(circuit_type) \\\n",
    "            .with_metadata(circuit_name=circuit_name, system='PC', signal='I_MEAS') \\\n",
    "            .signal_query() \\\n",
    "            .synchronize_time() \\\n",
    "            .convert_index_to_sec().dfs[0]\n",
    "    \n",
    "    # LEADS\n",
    "    u_res_nxcals_dfs = QueryBuilder().with_nxcals(spark) \\\n",
    "        .with_duration(t_start=t_start, t_end=t_end) \\\n",
    "        .with_circuit_type(circuit_type) \\\n",
    "        .with_metadata(circuit_name=circuit_name, system=['LEADS_EVEN', 'LEADS_ODD'], signal='U_RES') \\\n",
    "        .signal_query() \\\n",
    "        .synchronize_time() \\\n",
    "        .convert_index_to_sec() \\\n",
    "        .dfs\n",
    "    \n",
    "    u_hts_nxcals_dfs = QueryBuilder().with_nxcals(spark) \\\n",
    "        .with_duration(t_start=t_start, t_end=t_end)\\\n",
    "        .with_circuit_type(circuit_type) \\\n",
    "        .with_metadata(circuit_name=circuit_name, system=['LEADS_EVEN', 'LEADS_ODD'], signal='U_HTS') \\\n",
    "        .signal_query()\\\n",
    "        .synchronize_time() \\\n",
    "        .convert_index_to_sec() \\\n",
    "        .filter_median() \\\n",
    "        .dfs\n",
    "    \n",
    "    tt891a_nxcals_dfs = QueryBuilder().with_nxcals(spark) \\\n",
    "        .with_duration(t_start=t_start, t_end=t_end) \\\n",
    "        .with_circuit_type(circuit_type) \\\n",
    "        .with_metadata(circuit_name=circuit_name, system=['LEADS_EVEN', 'LEADS_ODD'], signal='TT891A') \\\n",
    "        .signal_query() \\\n",
    "        .synchronize_time() \\\n",
    "        .convert_index_to_sec() \\\n",
    "        .filter_median() \\\n",
    "        .dfs\n",
    "    \n",
    "    tt893_nxcals_dfs = QueryBuilder().with_nxcals(spark) \\\n",
    "        .with_duration(t_start=t_start, t_end=t_end) \\\n",
    "        .with_circuit_type(circuit_type) \\\n",
    "        .with_metadata(circuit_name=circuit_name, system=['LEADS_EVEN', 'LEADS_ODD'], signal='TT893') \\\n",
    "        .signal_query()\\\n",
    "        .synchronize_time() \\\n",
    "        .convert_index_to_sec() \\\n",
    "        .filter_median() \\\n",
    "        .dfs\n",
    "    \n",
    "    cv891_nxcals_dfs = QueryBuilder().with_nxcals(spark) \\\n",
    "        .with_duration(t_start=t_start, t_end=t_end) \\\n",
    "        .with_circuit_type(circuit_type) \\\n",
    "        .with_metadata(circuit_name=circuit_name, system=['LEADS_EVEN', 'LEADS_ODD'], signal='CV891') \\\n",
    "        .signal_query() \\\n",
    "        .synchronize_time() \\\n",
    "        .convert_index_to_sec() \\\n",
    "        .filter_median() \\\n",
    "        .dfs\n",
    "    \n",
    "    i_meas_raw_df = QueryBuilder().with_nxcals(spark) \\\n",
    "        .with_duration(t_start=t_start, t_end=t_end) \\\n",
    "        .with_circuit_type(circuit_type) \\\n",
    "        .with_metadata(circuit_name=circuit_name, system='PC', signal='I_MEAS') \\\n",
    "        .signal_query() \\\n",
    "        .dfs[0]\n",
    "    \n",
    "    plateau_timing_df = get_current_plateau_start_end(i_meas_raw_df, i_meas_threshold=500)\n",
    "    \n",
    "    # Label columns with a function for current\n",
    "    from pyspark.sql.functions import udf\n",
    "    from pyspark.sql.types import IntegerType\n",
    "    import numpy as np\n",
    "\n",
    "    plateau_start = plateau_timing_df['plateau_start'].values\n",
    "    plateau_end = plateau_timing_df['plateau_end'].values\n",
    "\n",
    "    def translate(timestamp):\n",
    "        mask_plateau = (timestamp >= plateau_start) & (timestamp <= plateau_end)\n",
    "        index_plateau = np.where(mask_plateau == True)[0]\n",
    "\n",
    "        if len(index_plateau) > 0:\n",
    "            return int((index_plateau[0]+1))\n",
    "\n",
    "        return -1\n",
    "\n",
    "    translate_udf = udf(translate, IntegerType())\n",
    "    \n",
    "    i_meas_feature_df = QueryBuilder() \\\n",
    "        .with_nxcals(spark) \\\n",
    "        .with_duration(t_start=t_start, t_end=t_end) \\\n",
    "        .with_circuit_type(circuit_type) \\\n",
    "        .with_metadata(circuit_name=circuit_name, system='PC', signal='I_MEAS') \\\n",
    "        .feature_query(['mean', 'std', 'max', 'min', 'count'], function=translate_udf) \\\n",
    "        .sort_values(by='class') \\\n",
    "        .df\n",
    "\n",
    "    u_res_feature_df = QueryBuilder() \\\n",
    "        .with_nxcals(spark) \\\n",
    "        .with_duration(t_start=t_start, t_end=t_end) \\\n",
    "        .with_circuit_type(circuit_type) \\\n",
    "        .with_metadata(circuit_name=circuit_name, system='BUSBAR', signal='U_RES', wildcard={'BUSBAR': '*'}) \\\n",
    "        .feature_query(['mean', 'std', 'max', 'min', 'count'], function=translate_udf) \\\n",
    "        .sort_busbar_location(circuit_type, circuit_name) \\\n",
    "        .df\n",
    "\n",
    "    u_mag_feature_df = QueryBuilder() \\\n",
    "        .with_nxcals(spark) \\\n",
    "        .with_duration(t_start=t_start, t_end=t_end) \\\n",
    "        .with_circuit_type(circuit_type) \\\n",
    "        .with_metadata(circuit_name=circuit_name, system='BUSBAR', signal='U_MAG', wildcard={'BUSBAR': '*'}) \\\n",
    "        .feature_query(['mean', 'std', 'max', 'min', 'count'], function=translate_udf) \\\n",
    "        .sort_busbar_location(circuit_type, circuit_name) \\\n",
    "        .df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Power Converter\n",
    "## 3.1. Plot of the Power Converter Main Current\n",
    "\n",
    "*QUERY*:\n",
    "- NXCALS for the main power converter current, I_MEAS\n",
    "\n",
    "*INPUT*:\n",
    "\n",
    "|Variable Name\t|Variable Type\t|Variable Unit\t|Comment\n",
    "|---------------|---------------|---------------|------|\n",
    "|i_meas_df | DataFrame | A | Main power converter current, I_MEAS|\n",
    "| plateau_start_sync | list of float | s | List with start points of current plateau in relative time|\n",
    "| plateau_end_sync | list of float | s | List with end points of current plateau in relative time|\n",
    "\n",
    "*ANALYSIS*:\n",
    "- Calculation of the duration of current plateaus\n",
    "\n",
    "*PLOT*:\n",
    "- The main power converter current (reference and actual) on the left axis, I_MEAS\n",
    "- t = 0 s corresponds to the respective (actual and reference) FGC timestamps.\n",
    "- Orange box(es) represent period(s) of time with constant current used for calculation of busbar resistance and DFB thresholds\n",
    "\n",
    "*OUTPUT*:\n",
    "\n",
    "- *No output is generated*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = i_meas_nxcals_df.plot(figsize=(30, 10), grid=True)\n",
    "for index, row in plateau_timing_df.iterrows():\n",
    "    ax.axvspan(xmin=row['plateau_start_sync'], xmax=row['plateau_end_sync'], facecolor='xkcd:goldenrod')\n",
    "ax.set_xlabel(\"time, [s]\", fontsize=15)\n",
    "ax.set_ylabel(\"I_MEAS, [A]\", fontsize=15)\n",
    "ax.tick_params(labelsize=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Busbar\n",
    "## 4.1. Busbar Resistance\n",
    "\n",
    "*QUERY*:\n",
    "- NXCALS for the mean, std, and count values of the main power converter current at current plateaus, I_MEAS\n",
    "- NXCALS for the mean, std, and count value of the busbar voltage (board A and B) at current plateaus, U_RES\n",
    "\n",
    "*INPUT*:\n",
    "\n",
    "|Variable Name\t|Variable Type\t|Variable Unit\t|Comment\n",
    "|---------------|---------------|---------------|------|\n",
    "|i_meas_feature_df | DataFrame | A | Mean, std, and count values of the main power converter current labeled (1,2,...) at the current plateaus, I_MEAS|\n",
    "|u_res_a_feature_df | DataFrame | V | Mean, std, and count values of the busbar voltage from board A labeled (1,2,...) at the current plateaus, U_RES|\n",
    "|u_res_b_feature_df | DataFrame | V | Mean, std, and count values of the busbar voltage from board B labeled (1,2,...) at the current plateaus, U_RES|\n",
    "|plateau_start | list of float | s | List with start points of current plateau in absolute time|\n",
    "|plateau_end | list of float | s | List with end points of current plateau in absolute time|\n",
    "\n",
    "*ANALYSIS*:\n",
    "- Calculation of the busbar resistance as the slope of a linear fit of U,I curve obtained from the corresponding mean alues of the voltage and current\n",
    "- The resistance should be below 3 nOhm\n",
    "\n",
    "*PLOT*:\n",
    "- The busbar resistance, R\n",
    "- The green box denotes the validity region of the busbar resostance (0, 3] nOhm\n",
    "\n",
    "*OUTPUT*:\n",
    "\n",
    "- *No output is generated*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "res_busbar_df = ResistanceBuilder().with_busbar_voltage(u_res_feature_df) \\\n",
    "    .with_busbar_current(i_meas_feature_df) \\\n",
    "    .calculate_mean_resistance(circuit_type)\n",
    "\n",
    "# Plot\n",
    "res_outliers_df = AssertionBuilder().with_feature(res_busbar_df) \\\n",
    "    .has_min_max_value(feature='R_RES', min_value=0, max_value=3e-9) \\\n",
    "    .show_plot(xlabel='Busbar, [-]', ylabel='R_RES (Calculated), [V]') \\\n",
    "    .get_features_outside_range()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4.2. Magnet Resistance\n",
    "*QUERY*:\n",
    "- NXCALS for the mean, std, and count values of the main power converter current at current plateaus, I_MEAS\n",
    "- NXCALS for the mean, std, and count value of the magnet voltage (board A and B) at current plateaus, U_RES\n",
    "\n",
    "*INPUT*:\n",
    "\n",
    "|Variable Name\t|Variable Type\t|Variable Unit\t|Comment\n",
    "|---------------|---------------|---------------|------|\n",
    "|i_meas_feature_df | DataFrame | A | Mean, std, and count values of the main power converter current labeled (1,2,...) at the current plateaus, I_MEAS|\n",
    "|u_mag_a_feature_df | DataFrame | V | Mean, std, and count values of the magnet voltage from board A labeled (1,2,...) at the current plateaus, U_RES|\n",
    "|u_mag_b_feature_df | DataFrame | V | Mean, std, and count values of the magnet voltage from board B labeled (1,2,...) at the current plateaus, U_RES|\n",
    "|plateau_start | list of float | s | List with start points of current plateau in absolute time|\n",
    "|plateau_end | list of float | s | List with end points of current plateau in absolute time|\n",
    "\n",
    "*ANALYSIS*:\n",
    "- Calculation of the magnet resistance as the slope of a linear fit of U,I curve obtained from the corresponding mean alues of the voltage and current\n",
    "- The resistance should be below 50 nOhm\n",
    "\n",
    "*PLOT*:\n",
    "- The busbar resistance, R\n",
    "- The green box denotes the validity region of the magnet resistance (0, 50] nOhm\n",
    "\n",
    "*OUTPUT*:\n",
    "\n",
    "- *No output is generated*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "res_magnet_df = ResistanceBuilder().with_busbar_voltage(u_mag_feature_df) \\\n",
    "    .with_busbar_current(i_meas_feature_df) \\\n",
    "    .calculate_mean_resistance(circuit_type)\n",
    "\n",
    "# Plot\n",
    "res_outliers_df = AssertionBuilder().with_feature(res_magnet_df) \\\n",
    "    .has_min_max_value(feature='R_MAG', min_value=0, max_value=50e-9) \\\n",
    "    .show_plot(xlabel='Magnet, [-]', ylabel='R_MAG (Calculated), [V]') \\\n",
    "    .get_features_outside_range()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 6. DFB\n",
    "## 6.1. DFB Voltage - U_RES\n",
    "\n",
    "U_RES - Voltage of the resistive part of the current lead (QPS threshold at 100 mV, 100 ms)  \n",
    "\n",
    "*QUERY*:\n",
    "- NXCALS for voltage of even and odd leads, U_RES\n",
    "\n",
    "*INPUT*:  \n",
    "\n",
    "|Variable Name\t|Variable Type\t|Variable Unit\t|Comment\n",
    "|---------------|---------------|---------------|------|\n",
    "|t_start\t|str\t|-\t|Start date and time of the test|\n",
    "|t_end\t|str\t|-\t|End date and time of the test|\n",
    "|t_end\t|str\t|-\t|End date and time of the test|\n",
    "|u_res_dfs\t|list of DataFrames\t|V\t|Voltage of the resistive part of even and odd leads, U_RES|\n",
    "|plateau_start_sync | list of float | s | List with start points of current plateau in relative time|\n",
    "|plateau_end_sync | list of float | s | List with end points of current plateau in relative time|\n",
    "\n",
    "*ANALYSIS*:  \n",
    "- Median filter with window of size 3\n",
    "- Quench detection for U_HTS for 2 consecutive datapoints above the threshold (3 mV)\n",
    "- Detection for U_RES for 2 consecutive datapoints above the threshold (100 mV)\n",
    "- At constant current, U_RES must stay constant (no drift < 2mV/h) and Abs (U_RES) < 65 mV @ 11 kA  \n",
    "\n",
    "*PLOT*:  \n",
    "For odd and even leads\n",
    "- Main power converter current on the left axis, I_MEAS\n",
    "- Voltage of the normal conducting leads on the right axis, U_RES\n",
    "- t = 0 s corresponds to the start time of the test\n",
    "- The green box denotes the validity region of the voltage of the resistive part of the current lead [-50, 50] mV\n",
    "\n",
    "*OUTPUT*:\n",
    "\n",
    "- *No output is generated*\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<lhcsmapi.pyedsl.AssertionBuilder.AssertionBuilderSignalPlotResult at 0x7f4a2899f860>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AssertionBuilder().with_signal(u_res_nxcals_dfs) \\\n",
    "    .with_time_range(t_start=plateau_timing_df['plateau_start_sync'], t_end=plateau_timing_df['plateau_end_sync']) \\\n",
    "    .has_min_max_slope(slope_min=-2, slope_max=2) \\\n",
    "    .show_plot(ylabel='U_RES, [V]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6.2. DFB Voltage - U_HTS\n",
    "\n",
    "U_HTS - Voltage of the HTS part of the current lead (QPS threshold at 1 mV, 100 ms)  \n",
    "\n",
    "*QUERY*:\n",
    "- NXCALS for voltage of even and odd leads, U_HTS\n",
    "\n",
    "*INPUT*:  \n",
    "\n",
    "|Variable Name\t|Variable Type\t|Variable Unit\t|Comment\n",
    "|---------------|---------------|---------------|------|\n",
    "|t_start\t|str\t|-\t|Start date and time of the test|\n",
    "|t_end\t|str\t|-\t|End date and time of the test|\n",
    "|u_hts_dfs\t|list of DataFrames\t|V\t|Voltage of the HTS part of even and odd leads, U_HTS|\n",
    "\n",
    "*ANALYSIS*:  \n",
    "- Median filter with window of size 3\n",
    "- Qench detection for U_HTS for 2 consecutive datapoints above the threshold (3 mV)\n",
    "- Voltage must stay below 50% of the threshold -> Abs(U_HTS) < 0.5 mV\n",
    "\n",
    "*PLOT*:  \n",
    "For odd and even leads\n",
    "- Main power converter current on the left axis, I_MEAS\n",
    "- Voltage of the HTS leads on the right axis, U_HTS\n",
    "- t = 0 s corresponds to the start time of the test\n",
    "\n",
    "*OUTPUT*:\n",
    "\n",
    "- *No output is generated*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<lhcsmapi.pyedsl.AssertionBuilder.AssertionBuilderSignalPlotResult at 0x7f4a28966f28>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AssertionBuilder().with_signal(u_hts_nxcals_dfs) \\\n",
    "    .with_time_range(t_start=plateau_timing_df['plateau_start_sync'], t_end=plateau_timing_df['plateau_end_sync']) \\\n",
    "    .has_min_max_slope(slope_min=-0.5, slope_max=0.5) \\\n",
    "    .show_plot(ylabel='U_HTS')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6.3. DFB Temperature - TT893.TEMPERATURECALC\n",
    "\n",
    "TT893.TEMPERATURECALC - Temperature at the top of the current lead (supposed to be at the room temperature) \n",
    "\n",
    "*QUERY*:\n",
    "- NXCALS for temperature at the top of the current lead (even and odd), TT893.TEMPERATURECALC\n",
    "\n",
    "*INPUT*:  \n",
    "\n",
    "|Variable Name\t|Variable Type\t|Variable Unit\t|Comment\n",
    "|---------------|---------------|---------------|------|\n",
    "|t_start\t|str\t|-\t|Start date and time of the test|\n",
    "|t_end\t|str\t|-\t|End date and time of the test|\n",
    "|tt893_dfs\t|list of DataFrames\t|K\t|Temperature at the top of the current lead, TT893.TEMPERATURECALC|\n",
    "\n",
    "*ANALYSIS*:  \n",
    "- Temperature must be over the dew point, but not overheated -> 280 K < TT893 < 320 K, even without current\n",
    "\n",
    "*PLOT*:  \n",
    "For odd and even leads\n",
    "- Main power converter current on the left axis, I_MEAS\n",
    "- Temperature at the top of the current lead on the right axis, TT893.TEMPERATURECALC\n",
    "- t = 0 s corresponds to the start time of the test\n",
    "- Green box denotes the temperature validity region [280, 320] K of the temperature at the top of the current lead\n",
    "\n",
    "*OUTPUT*:\n",
    "\n",
    "- *No output is generated*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<lhcsmapi.pyedsl.AssertionBuilder.AssertionBuilderSignalPlotResult at 0x7f4a2ad9f320>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AssertionBuilder() \\\n",
    "    .with_signal(tt893_nxcals_dfs) \\\n",
    "    .has_min_max_value(value_min=280, value_max=320) \\\n",
    "    .show_plot(ylabel='TT893.TEMPERATURECALC [K]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6.4. DFB Temperature - TT891A.TEMPERATURECALC\n",
    "\n",
    "TT891A.TEMPERATURECALC - Temperature between the HTS and resistive part of the current leads (supposed to be regulated around 50 K)\n",
    "\n",
    "*QUERY*:\n",
    "- NXCALS for temperature between the HTS and resistive part of the current leads (even and odd), TT891A.TEMPERATURECALC\n",
    "\n",
    "*INPUT*:  \n",
    "\n",
    "|Variable Name\t|Variable Type\t|Variable Unit\t|Comment\n",
    "|---------------|---------------|---------------|------|\n",
    "|t_start\t|str\t|-\t|Start date and time of the test|\n",
    "|t_end\t|str\t|-\t|End date and time of the test|\n",
    "|tt891a_dfs\t|list of DataFrames\t|K\t|Temperature between the HTS and resistive part of the current lead, TT891A.TEMPERATURECALC|\n",
    "|plateau_start_sync | list of float | s | List with start points of current plateau in relative time|\n",
    "|plateau_end_sync | list of float | s | List with end points of current plateau in relative time|\n",
    "\n",
    "*ANALYSIS*:  \n",
    "- Temperature must be regulated around 50 K -> 46 K < TT891A < 54 K, even without current\n",
    "\n",
    "*PLOT*:  \n",
    "For odd and even leads\n",
    "- Main power converter current, I_MEAS\n",
    "- Temperature between the HTS and resistive part of the current lead on the right axis, TT891A.TEMPERATURECALC\n",
    "- t = 0 s corresponds to the start time of the test\n",
    "\n",
    "*OUTPUT*:\n",
    "\n",
    "- *No output is generated*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<lhcsmapi.pyedsl.AssertionBuilder.AssertionBuilderSignalPlotResult at 0x7f4a289a49e8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AssertionBuilder().with_signal(tt891a_nxcals_dfs) \\\n",
    "    .has_min_max_value(value_min=46, value_max=54) \\\n",
    "    .show_plot(ylabel='TT891A.TEMPERATURECALC [K]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6.5. DFB Valve Regulation - CV891.POSST\n",
    "\n",
    "CV891.POSST - Valve for regulation of TT891A\n",
    "\n",
    "*QUERY*:\n",
    "- NXCALS for valve for regulation of TT891Atemperature of current leads (even and odd), CV891.POSST\n",
    "\n",
    "*INPUT*:  \n",
    "\n",
    "|Variable Name\t|Variable Type\t|Variable Unit\t|Comment\n",
    "|---------------|---------------|---------------|------|\n",
    "|t_start\t|str\t|-\t|Start date and time of the test|\n",
    "|t_end\t|str\t|-\t|End date and time of the test|\n",
    "|cv891_dfs\t|list of DataFrames\t|%\t|Valve for regulation of TT891A, CV891.POSST|\n",
    "\n",
    "*ANALYSIS*:  \n",
    "- The valve must be opened (>2%), but not fully (<50%)\n",
    "- The valve variation (defined as difference between the maximum and minimum value) shouldn't exceed 8% at constant current (the ramp of the current is excluded this criterion)\n",
    "\n",
    "*PLOT*:  \n",
    "For odd and even leads\n",
    "- Main power converter current, I_MEAS\n",
    "- Valve for regulation of TT891A, CV891.POSST\n",
    "- t = 0 s corresponds to the start time of the test\n",
    "- Green box denotes the valve opening validity region [2, 50] % of the TT891A temperature regulation\n",
    "\n",
    "*OUTPUT*:\n",
    "\n",
    "- *No output is generated*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<lhcsmapi.pyedsl.AssertionBuilder.AssertionBuilderSignalPlotResult at 0x7f4a2899f748>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AssertionBuilder().with_signal(cv891_nxcals_dfs) \\\n",
    "    .has_min_max_value(value_min=2, value_max=50) \\\n",
    "    .show_plot(ylabel='CV891.POSST [%]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<lhcsmapi.pyedsl.AssertionBuilder.AssertionBuilderSignalPlotResult at 0x7f4a2869fa58>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AssertionBuilder().with_signal(cv891_nxcals_dfs) \\\n",
    "    .with_time_range(t_start=plateau_timing_df['plateau_start_sync'], t_end=plateau_timing_df['plateau_end_sync']) \\\n",
    "    .has_min_max_variation(variation_min_max=8) \\\n",
    "    .show_plot(ylabel='CV891')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 7. Final Report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook AN_RB_PLI3.a5.ipynb to html\n",
      "[NbConvertApp] Writing 783026 bytes to /eos/project/l/lhcsm/hwc/RB/RB.A12/PLI3.a5/HWC_2014/2014.12.13_091241.000000-2014.12.13_122711.000000_report.html\n"
     ]
    }
   ],
   "source": [
    "campaign = hwcb.get_campaign()\n",
    "file_name_html = '{}-{}_report.html'.format(Time.to_datetime(t_start).strftime(\"%Y.%m.%d_%H%M%S.%f\"), Time.to_datetime(t_end).strftime(\"%Y.%m.%d_%H%M%S.%f\"))\n",
    "!{sys.executable} -m jupyter nbconvert --to html $'AN_RB_PLI3.a5.ipynb' --output /eos/project/l/lhcsm/hwc/RB/$circuit_name/$hwc_test/$campaign/$file_name_html"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Raw Cell Format",
  "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": "3.6.5"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "metadata": {
     "collapsed": false
    },
    "source": []
   }
  },
  "sparkconnect": {
   "bundled_options": [
    "SparkMetrics",
    "NXCALS"
   ],
   "list_of_options": [
    {
     "name": "spark.executor.instances",
     "value": "10"
    }
   ]
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}