lcc-server-setup.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LCC-Server setup notes\n",
    "\n",
    "This notebook discusses how to set up an [LCC-Server](https://github.com/waqasbhatti/lcc-server) instance for a collection of light curves. The example light curves used here are available at:\n",
    "\n",
    "- <https://wbhatti.org/abfiles/lcc-server-demo.tar.gz> \n",
    "- (20 MB, SHA256SUM: `04be2a0467d832ca5f7edb6879962c84db3993771ad8ce5c7e7eaccf35723435`)\n",
    "\n",
    "We will go through the following items:\n",
    "\n",
    "- [writing a Python module and function to read your light curves](#Preparing-your-light-curves)\n",
    "- [preparing the LCC-Server base directory](#Preparing-the-LCC-Server-base-directory)\n",
    "- [importing your light curves into an LC collection](#Importing-your-light-curves)\n",
    "- [preparing checkplot pickles to add extra catalog information](#Preparing-and-importing-checkplot-pickles)\n",
    "- [running the LCC-Server](#Running-the-LCC-Server)\n",
    "\n",
    "The LCC-Server relies on the [astrobase](https://github.com/waqasbhatti/astrobase) package for much of its functionality, especially the 'checkplot pickles' generated from light curves using the [astrobase.checkplot.checkplot_pickle](https://astrobase.readthedocs.io/en/latest/astrobase.checkplot.pkl.html#astrobase.checkplot.pkl.checkplot_pickle) function or one of its higher-level wrappers: [astrobase.lcproc.runcp](https://astrobase.readthedocs.io/en/latest/astrobase.lcproc.checkplotgen.html#astrobase.lcproc.checkplotgen.runcp) or [astrobase.lcproc.parallel_cp](https://astrobase.readthedocs.io/en/latest/astrobase.lcproc.checkplotgen.html#astrobase.lcproc.checkplotgen.parallel_cp). A short introduction to the checkplot pickle concept is provided in the [lightcurves-and-checkplots notebook](https://github.com/waqasbhatti/astrobase-notebooks/blob/master/lightcurves-and-checkplots.ipynb) ([Jupyter nbviewer link](https://nbviewer.jupyter.org/github/waqasbhatti/astrobase-notebooks/blob/master/lightcurves-and-checkplots.ipynb)), and a far more detailed version is presented in the [lc-collection-work](https://github.com/waqasbhatti/astrobase-notebooks/blob/master/lc-collection-work.ipynb) ([Jupyter nbviewer link](https://nbviewer.jupyter.org/github/waqasbhatti/astrobase-notebooks/blob/master/lc-collection-work.ipynb)) notebook. \n",
    "\n",
    "If you have light curves that were already processed through the functions outlined there and have generated checkplot pickles, you can skip down to the [LCC-Server base directory preparation](#Preparing-the-LCC-Server-base-directory) section. If not, the next section outlines how to write a Python module containing a function to read your light curves into a format that astrobase and LCC-Server can understand and work with. This will then enable automatic generation of basic checkplot pickles that can be used as the basis of the server's catalogs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparing your light curves\n",
    "\n",
    "We'll be using example light curves that are in a simple text format. These look something like:\n",
    "\n",
    "```\n",
    "rjd,stf,xcc,ycc,aim_000,aie_000,aim_001,aie_001,aim_002,aie_002,aep_000,aep_001,aep_002\n",
    "54809.0746065,9,1267.787,877.217,11.37799,0.00421,11.43704,0.00374,11.45887,0.00359,11.49946,11.49882,11.50113\n",
    "54809.0786921,9,1319.465,888.06,11.42377,0.00431,11.46128,0.0038,11.47978,0.00364,11.48983,11.48822,11.49355\n",
    "54809.0827546,9,1320.227,889.038,11.52475,0.00451,11.53167,0.00391,11.52608,0.00369,11.50115,11.49696,11.49535\n",
    "54809.0868056,9,1320.013,886.0,11.43081,0.00428,11.46243,0.00375,11.47395,0.00356,11.47891,11.4879,11.49395\n",
    "54809.0907292,9,1320.923,884.219,11.42521,0.00426,11.46114,0.00374,11.46823,0.00354,11.50647,11.50872,11.50514\n",
    "54809.0946875,9,1322.157,879.114,11.47178,0.00436,11.48658,0.00379,11.48964,0.00359,11.49252,11.49508,11.5004\n",
    "54809.0986574,9,1323.018,878.145,11.41705,0.00433,11.44548,0.0038,11.45548,0.00363,11.4982,11.50094,11.50138\n",
    "54809.102581,9,1324.09,873.883,11.43568,0.00435,11.46572,0.00382,11.47577,0.00365,11.47914,11.49503,11.49835\n",
    "54809.1065046,9,1325.172,873.507,11.31651,0.0041,11.40322,0.0037,11.44349,0.00359,11.5019,11.4997,11.50298\n",
    "```\n",
    "\n",
    "The first line is the column names while the rest of the file is CSV format. There are three magnitude apertures in use here: `000`, `001`, `002` The columns are:\n",
    "\n",
    "- rjd: the reduced Julian date\n",
    "- stf: the telescope ID of the observing instrument\n",
    "- xcc: the X coordinate of the object on the CCD\n",
    "- ycc: the Y coordinate of the object on the CCD\n",
    "- aim_{aperturecol}: the instrumental raw magnitude in each aperture 000, 001, 002\n",
    "- aie_{aperturecol}: the photometric error associated with the instrumental raw mag in aperture 000, 001, 002\n",
    "- aep_{aperturecol}: the External Parameter Decorrelated (EPD) magnitude in aperture 000, 001, 002\n",
    "\n",
    "We'll also need a object catalog that has basic information for each object that we have light curves for. This looks something like:\n",
    "\n",
    "```\n",
    "objectid|ra|decl|jmag|hmag|kmag|ndet|observatory|telescope|lcfilename\n",
    "HAT-215-0001809|61.681917|30.444036|9.725|9.26|9.125|11901|HATNet|HN07,HN08|HAT-215-0001809-lc.csv\n",
    "HAT-215-0004605|67.373792|26.281448|10.34|9.675|9.388|6260|HATNet|HN07,HN08,HN10|HAT-215-0004605-lc.csv\n",
    "HAT-215-0005039|62.245702|30.006277|11.103|10.838|10.701|9457|HATNet|HN07,HN08|HAT-215-0005039-lc.csv\n",
    "HAT-215-0005050|67.397499|28.891775|10.399|9.64|9.387|6265|HATNet|HN07,HN08,HN10|HAT-215-0005050-lc.csv\n",
    "HAT-215-0010422|67.828296|27.993004|11.868|11.48|11.334|6261|HATNet|HN07,HN08,HN10|HAT-215-0010422-lc.csv\n",
    "HAT-215-0012059|60.128998|30.906244|12.11|11.689|11.607|11881|HATNet|HN07,HN08|HAT-215-0012059-lc.csv\n",
    "HAT-215-0013494|67.340183|31.636814|11.956|11.348|11.2|6255|HATNet|HN07,HN08,HN10|HAT-215-0013494-lc.csv\n",
    "HAT-215-0013882|62.095389|29.233021|12.05|11.521|11.355|11922|HATNet|HN07,HN08,HN09|HAT-215-0013882-lc.csv\n",
    "HAT-215-0016025|62.790491|29.722546|12.491|12.156|12.017|3671|HATNet|HN07,HN08|HAT-215-0016025-lc.csv\n",
    "```\n",
    "\n",
    "The minimum information required for each object to use its light curve in all astrobase and LCC-Server functions is:\n",
    "\n",
    "- objectid: some object identifier string\n",
    "- ra: the right ascension of the object in decimal degrees\n",
    "- decl: the declination of the object in decimal degrees\n",
    "- ndet: the number of observations for this object\n",
    "\n",
    "All other information is optional, but if you have catalog magnitudes, this will allow LCC-Server to calculate colors, reddening, and rough object classifications based on SDSS/SEGUE and 2MASS JHK color cuts. \n",
    "\n",
    "Let's now get the example data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/waqasbhatti/mycode/astrobase-notebooks'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2019-03-09 13:08:37--  https://wbhatti.org/abfiles/lcc-server-demo.tar.gz\n",
      "Resolving wbhatti.org (wbhatti.org)... 173.255.226.56, 2600:3c03::f03c:91ff:fedf:d8fd\n",
      "Connecting to wbhatti.org (wbhatti.org)|173.255.226.56|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 19986619 (19M) [application/octet-stream]\n",
      "Saving to: ‘lcc-server-demo.tar.gz’\n",
      "\n",
      "lcc-server-demo.tar 100%[===================>]  19.06M  10.3MB/s    in 1.8s    \n",
      "\n",
      "2019-03-09 13:08:39 (10.3 MB/s) - ‘lcc-server-demo.tar.gz’ saved [19986619/19986619]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# wget the LCs when this cell is run\n",
    "!wget https://wbhatti.org/abfiles/lcc-server-demo.tar.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LICENSE\t\t\t  lightcurve-work.ipynb\r\n",
      "README.md\t\t  lightcurves-and-checkplots.ipynb\r\n",
      "lc-collection-work.ipynb  nb-data/\r\n",
      "lcc-server-demo.tar.gz\t  requirements.txt\r\n",
      "lcc-server-setup.ipynb\r\n"
     ]
    }
   ],
   "source": [
    "ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# untar the tarball\n",
    "!tar xvf lcc-server-demo.tar.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lcformat-description.json  lcreadermodule.py  lightcurves/  object-db.csv\r\n"
     ]
    }
   ],
   "source": [
    "ls lcc-server-demo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# let's read in the object-db.csv file and turn it into a Numpy record array\n",
    "import numpy as np\n",
    "\n",
    "objectdb = np.genfromtxt('lcc-server-demo/object-db.csv',\n",
    "                         names=True,\n",
    "                         dtype='U20,f8,f8,f8,f8,f8,i8,U20,U20,U60',\n",
    "                         delimiter='|',\n",
    "                         autostrip=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([('HAT-215-0001809', 61.681917, 30.444036,  9.725,  9.26 ,  9.125, 11901, 'HATNet', 'HN07,HN08', 'HAT-215-0001809-lc.csv'),\n",
       "       ('HAT-215-0004605', 67.373792, 26.281448, 10.34 ,  9.675,  9.388,  6260, 'HATNet', 'HN07,HN08,HN10', 'HAT-215-0004605-lc.csv'),\n",
       "       ('HAT-215-0005039', 62.245702, 30.006277, 11.103, 10.838, 10.701,  9457, 'HATNet', 'HN07,HN08', 'HAT-215-0005039-lc.csv')],\n",
       "      dtype=[('objectid', '<U20'), ('ra', '<f8'), ('decl', '<f8'), ('jmag', '<f8'), ('hmag', '<f8'), ('kmag', '<f8'), ('ndet', '<i8'), ('observatory', '<U20'), ('telescope', '<U20'), ('lcfilename', '<U60')])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# take a peek at the object database file\n",
    "objectdb[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('objectid',\n",
       " 'ra',\n",
       " 'decl',\n",
       " 'jmag',\n",
       " 'hmag',\n",
       " 'kmag',\n",
       " 'ndet',\n",
       " 'observatory',\n",
       " 'telescope',\n",
       " 'lcfilename')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# look at the column names in the object DB\n",
    "objectdb.dtype.names"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need to write a function to read these light curves. This function will produce a dict, which we call an 'lcdict', that MUST have the form below for it to be readable using astrobase and LCC-Server functions:\n",
    "\n",
    "```\n",
    "{\n",
    "  'objectid': 'your object ID' (required),\n",
    "  'objectinfo': {'ra': right ascension in decimal deg (required),\n",
    "                 'decl': declination in decimal deg (required),\n",
    "                 'ndet': number of observations (required),\n",
    "                 ... other optional objectinfo keys and values},\n",
    "  'columns': ['time_col_name', 'mag_col_name', 'err_col_name'], list of column keys in the lcdict (required),\n",
    "  'time_col_name': a numpy array of time values (required),\n",
    "  'mag_col_name': a numpy array of mag or flux values (required),\n",
    "  'err_col_name': a numpy array of err values for each mag/flux (required),\n",
    "  ... other mag or metadata columns\n",
    "}\n",
    "```\n",
    "\n",
    "The following may be useful when generating your lcdicts:\n",
    "- [the default list of all lcdict keys recognized by astrobase](https://github.com/waqasbhatti/lcc-server/blob/f192aa4b7f4a52d7510d29f1c14a570728717731/lccserver/cli.py#L549) and [some details on the format](https://github.com/waqasbhatti/lcc-server/blob/f192aa4b7f4a52d7510d29f1c14a570728717731/lccserver/cli.py#L722)\n",
    "- [the default list of all objectinfo keys considered as magnitude values by astrobase](https://github.com/waqasbhatti/astrobase/blob/f4ac4fc308ee8473de0ec9d57dd97db82b04b927/astrobase/varclass/starfeatures.py#L333)\n",
    "\n",
    "Let's write up the function to read the example light curves now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os.path\n",
    "import numpy as np\n",
    "\n",
    "def read_objectcatalog(objectinfo_catalog):\n",
    "    '''\n",
    "    This just reads in the object catalog into a recarray.\n",
    "    \n",
    "    '''\n",
    "    return np.genfromtxt(objectinfo_catalog,\n",
    "                         names=True,\n",
    "                         dtype='U20,f8,f8,f8,f8,f8,i8,U20,U20,U60',\n",
    "                         delimiter='|',\n",
    "                         autostrip=True)\n",
    "\n",
    "\n",
    "def read_lightcurve(lcfile, objectinfo_catalog=None):\n",
    "    '''\n",
    "    This reads in a light curve into an lcdict.\n",
    "    \n",
    "    lcfile: path to the light curve file to read\n",
    "    objectinfo_catalog: path to the object-db.csv file or the prepared record array from that file.\n",
    "    \n",
    "    Returns an lcdict in the required format.\n",
    "    \n",
    "    '''\n",
    "    \n",
    "    # get the object catalog first\n",
    "    if isinstance(objectinfo_catalog, str) and os.path.exists(objectinfo_catalog):\n",
    "        objcat = read_objectcatalog(objectinfo_catalog)\n",
    "    elif isinstance(objectinfo_catalog, np.ndarray):\n",
    "        objcat = objectinfo_catalog\n",
    "    else:\n",
    "        print(\"no object info catalog provided, can't continue...\")\n",
    "        return\n",
    "    \n",
    "    # look up the filename that we're reading in\n",
    "    objectinfo_ind = objcat['lcfilename'] == os.path.basename(lcfile)\n",
    "    \n",
    "    # prepare the objectinfo dict\n",
    "    objectinfo_dict = {}\n",
    "    for x in objcat.dtype.names:\n",
    "        objectinfo_dict[x] = np.asscalar(objcat[x][objectinfo_ind])\n",
    "    \n",
    "    # read the light curve file\n",
    "    lcdata = np.genfromtxt(\n",
    "        lcfile, \n",
    "        names=True,\n",
    "        dtype='f8,i8,f8,f8,f8,f8,f8,f8,f8,f8,f8,f8,f8',\n",
    "        delimiter=','\n",
    "    )\n",
    "    \n",
    "    columns = lcdata.dtype.names\n",
    "    \n",
    "    # the initial lcdict\n",
    "    lcdict = {\n",
    "        'objectid':objectinfo_dict['objectid'],\n",
    "        'objectinfo':objectinfo_dict,\n",
    "        'columns':columns\n",
    "    }\n",
    "    \n",
    "    # turn the columns into separate ndarrays\n",
    "    for col in columns:\n",
    "        lcdict[col] = lcdata[col]\n",
    "        \n",
    "    return lcdict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# let's see if it works\n",
    "lcdict = read_lightcurve('lcc-server-demo/lightcurves/HAT-215-0005050-lc.csv',\n",
    "                         objectinfo_catalog='lcc-server-demo/object-db.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'objectid': 'HAT-215-0005050',\n",
       " 'objectinfo': {'objectid': 'HAT-215-0005050',\n",
       "  'ra': 67.397499,\n",
       "  'decl': 28.891775,\n",
       "  'jmag': 10.399,\n",
       "  'hmag': 9.64,\n",
       "  'kmag': 9.387,\n",
       "  'ndet': 6265,\n",
       "  'observatory': 'HATNet',\n",
       "  'telescope': 'HN07,HN08,HN10',\n",
       "  'lcfilename': 'HAT-215-0005050-lc.csv'},\n",
       " 'columns': ('rjd',\n",
       "  'stf',\n",
       "  'xcc',\n",
       "  'ycc',\n",
       "  'aim_000',\n",
       "  'aie_000',\n",
       "  'aim_001',\n",
       "  'aie_001',\n",
       "  'aim_002',\n",
       "  'aie_002',\n",
       "  'aep_000',\n",
       "  'aep_001',\n",
       "  'aep_002'),\n",
       " 'rjd': array([54390.9583449, 54390.9630093, 54390.9669444, ..., 54557.6648148,\n",
       "        54557.6688542, 54558.6361111]),\n",
       " 'stf': array([10, 10, 10, ..., 10, 10, 10]),\n",
       " 'xcc': array([1698.422, 1656.161, 1654.986, ..., 1654.266, 1654.951, 1573.145]),\n",
       " 'ycc': array([3578.221, 3572.151, 3571.717, ..., 3567.112, 3568.715, 3534.205]),\n",
       " 'aim_000': array([13.46215, 13.47645, 13.46247, ..., 13.32079, 13.25246, 13.87421]),\n",
       " 'aie_000': array([0.02014, 0.02156, 0.02041, ..., 0.01732, 0.01697, 0.03012]),\n",
       " 'aim_001': array([13.3502 , 13.34854, 13.35258, ..., 13.32282, 13.31339, 13.81804]),\n",
       " 'aie_001': array([0.01765, 0.01872, 0.01793, ..., 0.01649, 0.01694, 0.02794]),\n",
       " 'aim_002': array([13.2921 , 13.27893, 13.29498, ..., 13.32968, 13.34175, 13.80246]),\n",
       " 'aie_002': array([0.01723, 0.01814, 0.01752, ..., 0.01691, 0.01771, 0.02855]),\n",
       " 'aep_000': array([13.27634, 13.2561 , 13.25552, ..., 13.21489, 13.26916, 13.26748]),\n",
       " 'aep_001': array([13.27171, 13.24329, 13.25749, ..., 13.2183 , 13.27176, 13.28149]),\n",
       " 'aep_002': array([13.26911, 13.24198, 13.26701, ..., 13.22273, 13.26761, 13.3125 ])}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# looks OK\n",
    "lcdict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we'll write a Python module that contains this function. This module and the LC reader function will be dynamically imported by astrobase and LCC-Server to read your light curves. \n",
    "\n",
    "The module can optionally contain a function that will normalize your light curves' magnitude or flux values if necessary. This function should take the lcdict produced by your LC reader function and return it when done. Normalization is often useful if you're dealing with a long-running variable star survey that has observations in different filters or telescope configurations. Normalizing the light curve will remove systematic offsets in magnitude/flux caused by these differences. To see examples of these, see [astrobase.hatsurveys.hatlc.normalize_lcdict](https://astrobase.readthedocs.io/en/latest/astrobase.hatsurveys.hatlc.html#astrobase.hatsurveys.hatlc.normalize_lcdict) and [astrobase.hatsurveys.hatlc.normalize_lcdict_byinst](https://astrobase.readthedocs.io/en/latest/astrobase.hatsurveys.hatlc.html#astrobase.hatsurveys.hatlc.normalize_lcdict_byinst).\n",
    "\n",
    "Here's the code for the file we'll be writing (this is also available in the downloaded lcc-server-demo.tar.gz file):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing lcreadermodule.py\n"
     ]
    }
   ],
   "source": [
    "%%writefile lcreadermodule.py\n",
    "#!/usr/bin/env python\n",
    "\n",
    "import os.path\n",
    "import numpy as np\n",
    "\n",
    "# this is a generic LC normalization function\n",
    "# https://astrobase.readthedocs.io/en/latest/astrobase.lcmath.html#astrobase.lcmath.normalize_magseries\n",
    "from astrobase.lcmath import normalize_magseries\n",
    "\n",
    "# a function that is used by the LC reader function\n",
    "def read_objectcatalog(objectinfo_catalog):\n",
    "    '''\n",
    "    This just reads in the object catalog into a recarray.\n",
    "    \n",
    "    '''\n",
    "    return np.genfromtxt(objectinfo_catalog,\n",
    "                         names=True,\n",
    "                         dtype='U20,f8,f8,f8,f8,f8,i8,U20,U20,U60',\n",
    "                         delimiter='|',\n",
    "                         autostrip=True)\n",
    "\n",
    "\n",
    "# example of a LC reader function\n",
    "# any kwargs can be specified fully later when telling the LCC-Server about this function\n",
    "# e.g., we might want to call this all the time with objectinfo_catalog='object-db.csv'\n",
    "# for our example here\n",
    "def read_lightcurve(lcfile, \n",
    "                    objectinfo_catalog=None):\n",
    "    '''\n",
    "    This reads in a light curve into an lcdict.\n",
    "    \n",
    "    lcfile: path to the light curve file to read\n",
    "    objectinfo_catalog: path to the object-db.csv file or the prepared record array from that file.\n",
    "    \n",
    "    Returns an lcdict in the required format.\n",
    "    \n",
    "    '''\n",
    "    \n",
    "    # get the object catalog first\n",
    "    if isinstance(objectinfo_catalog, str) and os.path.exists(objectinfo_catalog):\n",
    "        objcat = read_objectcatalog(objectinfo_catalog)\n",
    "    elif isinstance(objectinfo_catalog, np.ndarray):\n",
    "        objcat = objectinfo_catalog\n",
    "    else:\n",
    "        print(\"no object info catalog provided, can't continue...\")\n",
    "        return\n",
    "    \n",
    "    # look up the filename that we're reading in\n",
    "    objectinfo_ind = objcat['lcfilename'] == os.path.basename(lcfile)\n",
    "    \n",
    "    # prepare the objectinfo dict\n",
    "    objectinfo_dict = {}\n",
    "    for x in objcat.dtype.names:\n",
    "        objectinfo_dict[x] = np.asscalar(objcat[x][objectinfo_ind])\n",
    "    \n",
    "    # read the light curve file\n",
    "    lcdata = np.genfromtxt(\n",
    "        lcfile, \n",
    "        names=True,\n",
    "        dtype='f8,i8,f8,f8,f8,f8,f8,f8,f8,f8,f8,f8,f8',\n",
    "        delimiter=','\n",
    "    )\n",
    "    \n",
    "    columns = lcdata.dtype.names\n",
    "    \n",
    "    # the initial lcdict\n",
    "    lcdict = {\n",
    "        'objectid':objectinfo_dict['objectid'],\n",
    "        'objectinfo':objectinfo_dict,\n",
    "        'columns':columns\n",
    "    }\n",
    "    \n",
    "    # turn the columns into separate ndarrays\n",
    "    for col in columns:\n",
    "        lcdict[col] = lcdata[col]\n",
    "        \n",
    "    return lcdict\n",
    "\n",
    "\n",
    "# example of a normalization function\n",
    "# any kwargs can be specified fully when telling the LCC-Server about this function\n",
    "# e.g., we might want to call this all the time with \n",
    "# timecol='rjd', magcol='aep_000' for our example here\n",
    "def normalize_lcdict(lcdict, timecol=None, magcol=None):\n",
    "    '''\n",
    "    This normalizes the input lcdict using an astrobase function.\n",
    "    \n",
    "    timecol, magcol are the columns to use in this operation.\n",
    "    \n",
    "    You must write your changes back to the lcdict and return it.\n",
    "    \n",
    "    '''\n",
    "    \n",
    "    if timecol and magcol:\n",
    "        normalized_times, normalized_mags = normalize_magseries(lcdict['rjd'], lcdict['aep_000'])\n",
    "        if normalized_times is not None and normalized_mags is not None:\n",
    "            lcdict[timecol] = normalized_times\n",
    "            lcdict[magcol] = normalized_mags\n",
    "        \n",
    "    return lcdict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import this new module\n",
    "import lcreadermodule"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "lcdict = lcreadermodule.read_lightcurve('lcc-server-demo/lightcurves/HAT-215-0005050-lc.csv', \n",
    "                                        objectinfo_catalog='lcc-server-demo/object-db.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "normalized_lcdict = lcreadermodule.normalize_lcdict(lcdict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([54390.9583449, 54390.9630093, 54390.9669444, ..., 54557.6648148,\n",
       "        54557.6688542, 54558.6361111]),\n",
       " array([13.27634, 13.2561 , 13.25552, ..., 13.21489, 13.26916, 13.26748]),\n",
       " array([0.02014, 0.02156, 0.02041, ..., 0.01732, 0.01697, 0.03012]))"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# everything looks OK\n",
    "normalized_lcdict['rjd'], normalized_lcdict['aep_000'], normalized_lcdict['aie_000']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we've demonstrated that we can turn our CSV light curves into LCC-Server friendly lcdicts, let's proceed to setting up the base directory for the server."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparing the LCC-Server base directory\n",
    "\n",
    "The LCC-Server comes with a command-line-interface (CLI) script called `lcc-server` that will be available in your `$PATH` after you install the `lccserver` package using `pip install lccserver` or a similar command (see the [installation notes](https://github.com/waqasbhatti/lcc-server#installation)).\n",
    "\n",
    "This looks something like the following:\n",
    "\n",
    "```\n",
    "(venv) $ lcc-server --help\n",
    "usage: lcc-server [-h] [--basedir BASEDIR]\n",
    "                  {init-basedir,add-collection,edit-collection,del-collection,run-server,shell}\n",
    "\n",
    "The LCC-Server CLI\n",
    "\n",
    "positional arguments:\n",
    "  {init-basedir,add-collection,edit-collection,del-collection,run-server,shell}\n",
    "                        COMMAND to run\n",
    "\n",
    "optional arguments:\n",
    "  -h, --help            show this help message and exit\n",
    "  --basedir BASEDIR     The base directory to run commands in. This is the\n",
    "                        current directory by default:\n",
    "                        /Users/waqasbhatti/mycode/astrobase-notebooks\n",
    "\n",
    "COMMAND is one of:\n",
    "\n",
    "init-basedir        -> Initializes the basedir for the LCC-Server.\n",
    "                       This is an interactive command.\n",
    "\n",
    "add-collection      -> Adds an LC collection to the LCC-Server.\n",
    "                       This is an interactive command.\n",
    "\n",
    "edit-collection     -> Edits an existing LC collection.\n",
    "                       This is an interactive command.\n",
    "\n",
    "del-collection      -> Removes an LC collection from the LCC-Server\n",
    "                       This will ask you for confirmation.\n",
    "\n",
    "run-server          -> Runs an instance of the LCC-Server to provide\n",
    "                       the main search interface and a backing instance\n",
    "                       of the checkplotserver for serving objectinfo.\n",
    "\n",
    "shell               -> Starts an IPython shell in the context of the specified\n",
    "                       LCC-Server base directory. This is useful for debugging\n",
    "                       and running queries directly using the\n",
    "                       lccserver.backend.datasets.py and\n",
    "                       lccserver.backend.dbsearch.py modules.\n",
    "```\n",
    "\n",
    "The command we're going to use now is `init-basedir`. Let's check where we are at the moment:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/waqasbhatti/mycode/astrobase-notebooks'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LICENSE\t\t\t  lcc-server-setup.ipynb\r\n",
      "README.md\t\t  lcreadermodule.py\r\n",
      "__pycache__/\t\t  lightcurve-work.ipynb\r\n",
      "lc-collection-work.ipynb  lightcurves-and-checkplots.ipynb\r\n",
      "lcc-server-demo/\t  nb-data/\r\n",
      "lcc-server-demo.tar.gz\t  requirements.txt\r\n"
     ]
    }
   ],
   "source": [
    "ls"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's set up a LCC-Server `basedir` in a sub-directory of the current directory called `lcc`. This will start an interactive prompt session where you can answer some questions about your project. Most of this information goes into the footer of the LCC-Server's web pages.\n",
    "\n",
    "Any question can be answered with its default value by hitting the Enter key.\n",
    "\n",
    "```\n",
    "(venv) $ lcc-server --basedir lcc init-basedir\n",
    "```\n",
    "\n",
    "Type in a project name to use:\n",
    "```\n",
    "Project name [default: Example Project]: LCC Server demo project\n",
    "```\n",
    "\n",
    "Type in a project URL if any:\n",
    "```\n",
    "Project URL [default: https://example.org/astro/project]:\n",
    "```\n",
    "\n",
    "Type in a department name:\n",
    "```\n",
    "Department [default: Department of Astronomy]:\n",
    "```\n",
    "\n",
    "Type in a URL for the department if any:\n",
    "```\n",
    "URL for the department [default: https://example.org/astro]:\n",
    "```\n",
    "\n",
    "Type in the institution name:\n",
    "```\n",
    "Institution [default: Example University]:\n",
    "```\n",
    "\n",
    "Type in a URL for the institution if any:\n",
    "\n",
    "```\n",
    "URL for the institution [default: https://example.org]:\n",
    "```\n",
    "\n",
    "Type in the file path to a logo image file to use for the institution logo:\n",
    "```\n",
    "Path to an institution logo image file [default: None]:\n",
    "```\n",
    "\n",
    "Finally, this will do some work and return something like so:\n",
    "```\n",
    "[I 190309 13:20:12 cli:192] Created LCC-Server sub-directories under basedir: lcc\n",
    "[I 190309 13:20:12 cli:263] Created site-info.json: lcc/site-info.json\n",
    "[I 190309 13:20:12 cli:264] Please review this file and fill in details as appropriate.\n",
    "[I 190309 13:20:12 cli:265] Edit the file pointed to by the 'email_settings_file' key in site-info.json to set up an email server (for notifications, etc.).\n",
    "[I 190309 13:20:12 cli:298] Created doc-index.json: lcc/docs/doc-index.json and barebones lcc/docs/citation.md, lcc/docs/lcformat.md\n",
    "[I 190309 13:20:12 cli:306] No existing authentication DB found, making a new one...\n",
    "```\n",
    "\n",
    "At this point, the command will pause and ask you for an admin user email address and password. You can hit Enter to accept the default values or type these in. We'll accept the default values for now.\n",
    "\n",
    "```\n",
    "Admin email address [default: waqasbhatti@localhost]:\n",
    "Admin password [default: randomly generated]:\n",
    "\n",
    "[W 190309 13:22:48 cli:352] Generated random admin password: rdMeI1XUz2uq3vjkh6TmGg\n",
    "\n",
    "[I 190309 13:22:48 cli:369] Generating LCC-Server secret tokens...\n",
    "[I 190309 13:22:48 cli:393] Done with LCC-Server basedir set up for: /Users/waqasbhatti/mycode/astrobase-notebooks/lcc.\n",
    "```\n",
    "\n",
    "You can use these credentials to perform administrative operations such as editing the site-info.json file, editing datasets, changing user details, etc. from an admin web interface instead of editing the config files on disk. To enable logins and user sign-ups for the LCC-Server, however, you will need a working email server. We'll talk about this below.\n",
    "\n",
    "For now, let's look at the directory structure and files that this command created:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[01;34mlcc\u001b[00m\r\n",
      "├── \u001b[01;34mcsvlcs\u001b[00m\r\n",
      "├── \u001b[01;34mdatasets\u001b[00m\r\n",
      "├── \u001b[01;34mdocs\u001b[00m\r\n",
      "│   ├── \u001b[01;34mstatic\u001b[00m\r\n",
      "│   ├── citation.md\r\n",
      "│   ├── doc-index.json\r\n",
      "│   └── lcformat.md\r\n",
      "├── \u001b[01;34mlccjsons\u001b[00m\r\n",
      "├── \u001b[01;34mproducts\u001b[00m\r\n",
      "├── .authdb.sqlite\r\n",
      "├── .lccserver.secret\r\n",
      "├── .lccserver.secret-cpserver\r\n",
      "├── .lccserver.secret-email\r\n",
      "├── .lccserver.secret-fernet\r\n",
      "├── lcc-datasets.sqlite\r\n",
      "├── lcc-index.sqlite\r\n",
      "└── site-info.json\r\n",
      "\r\n",
      "6 directories, 11 files\r\n"
     ]
    }
   ],
   "source": [
    "!tree --dirsfirst -a lcc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The directories and files are all used in the LCC-Server installation.\n",
    "\n",
    "### `csvlcs`\n",
    "\n",
    "This directory contains the output light curves generated after your original LC format is converted to LCC-Server's standard CSV text format. This allows you to serve and search through collections of light curves from many different projects under one interface. The format and Python modules functions to read it are described in full at: https://github.com/waqasbhatti/lcc-server/blob/master/lccserver/server-docs/csvlc.md. \n",
    "\n",
    "### `datasets` \n",
    "\n",
    "Results of searches produce *datasets*, a permanent record of the search parameters and the objects matching these. Datasets are generated in Python pickle format using the filename scheme: `dataset-[setid].pkl.gz` where `setid` is a random alphanumeric identifier. This then translates to these datasets being available over HTTP at the permanent URL `http://your.lccserver.org/set/[setid]`. Ancillary products of datasets include a CSV for the data table of the search results: `dataset-[setid].csv` that goes into the `datasets` directory, and a ZIP file of light curves of all objects matching the search parameters that goes into the `products` directory as `lightcurves-[setid].zip`.\n",
    "\n",
    "### `docs`\n",
    "\n",
    "This is the 'Site Documentation' directory for information specific to your project. The LCC-Server has its own docs that explain how to use the browser and API, and it searches in this directory for any additional docs it needs to serve. You can write anything in Markdown files under this directory, update the `doc-index.json` file with your file's name (without the `.md` extension) and a title for the document. It will then show up automatically in the `http://your.lccserver.org/docs` page under the **Hosted light curve collections** heading. The `doc-index.json` file that is auto-generated here points to some useful documents that you can fill in to get started:\n",
    "\n",
    "```json\n",
    "{\n",
    "  \"citation\": \"Citing the data available on this server\",\n",
    "  \"lcformat\": \"Light curve columns and metadata description\"\n",
    "}\n",
    "```\n",
    "\n",
    "The `static` sub directory in the `docs` directory can be used to put in any images, etc. you want to link to from your Site Documentation. When writing your 'Site Documentation' files, you can refer to images, etc. placed in this `docs/static` directory using the following Markdown directive:\n",
    "\n",
    "```\n",
    "![my-awesome-image.png](/doc-static/my-awesome-image.png)\n",
    "```\n",
    "\n",
    "or use HTML:\n",
    "\n",
    "```html\n",
    "<figure class=\"figure\">\n",
    "  <img src=\"/doc-static/my-awesome-image.png\"\n",
    "       class=\"figure-img img-fluid\"\n",
    "       alt=\"My awesome image\">\n",
    "  <figcaption class=\"figure-caption text-center\">\n",
    "    My awesome image\n",
    "  </figcaption>\n",
    "</figure>\n",
    "```\n",
    "\n",
    "Finally, you can put in the magic word `[TOC]` anywhere in your Markdown documents to generate a table of contents.\n",
    "\n",
    "### `lccjsons`\n",
    "\n",
    "This directory contains pointers to `lcformat-description.json` files that describe your original light curve format and tell the LCC-Server how to read and translate them into its standardized format. We'll discuss these files below.\n",
    "\n",
    "### `products`\n",
    "\n",
    "As briefly mentioned above, this directory holds `lightcurves-[setid].zip` files for datasets generated from search results.\n",
    "\n",
    "### `.authdb.sqlite`\n",
    "\n",
    "This is the database that will be used by the LCC-Server to hold user, session, encrypted password, and other authentication information. Normally, you don't need to touch this (and should NOT check this into a git repository).\n",
    "\n",
    "### `.lccserver.secret`\n",
    "\n",
    "This is a file that contains a secret key used to generate signatures for the LCC-Server's session cookies. Normally, you don't need to touch this (and should NOT check this into a git repository).\n",
    "\n",
    "### `.lccserver.secret-cpserver`\n",
    "\n",
    "This is a file that contains a secret key used to authenticate communications between the LCC-Server's frontend and a backend instance of `checkplotserver` for retrieving object information from checkplots. Normally, you don't need to touch this (and should NOT check this into a git repository).\n",
    "\n",
    "\n",
    "### `.lccserver.secret-email`\n",
    "\n",
    "This is a file in JSON format that contains email server settings that will be used by the LCC-Server to send account request verification emails and dataset ready emails. The default file looks like:\n",
    "\n",
    "```json\n",
    "{\n",
    "    \"email_sender\": \"LCC-Server <smtp_user_name@emailserver.org>\",\n",
    "    \"email_server\": \"smtp.emailserver.org\",\n",
    "    \"email_port\": 587,\n",
    "    \"email_user\": \"smtp_user_name\",\n",
    "    \"email_pass\": \"smtp_user_password\"\n",
    "}\n",
    "```\n",
    "\n",
    "If you won't have other users logging into your LCC-Server instance, you don't need to touch this file. \n",
    "\n",
    "If you want to allow user login and sign-ups, you must provide valid email server settings in this file. An easy option is to use the GMail email server if you have a GMail account:\n",
    "\n",
    "```\n",
    "{\n",
    "    \"email_sender\": \"Your name <your_name@gmail.com>\",\n",
    "    \"email_server\": \"smtp.gmail.com\",\n",
    "    \"email_port\": 587,\n",
    "    \"email_user\": \"your_name@gmail.com\",\n",
    "    \"email_pass\": \"your_gmail_password\"\n",
    "}\n",
    "```\n",
    "\n",
    "If you have [Two-Factor Authentication](https://www.google.com/landing/2step/) enabled for GMail (as recommended by Google), you won't be able to use your GMail password here. Instead, you'll have to generate an \"app password\" as detailed here: https://support.google.com/accounts/answer/185833?hl=en and use that instead.\n",
    "\n",
    "### `.lccserver.secret-fernet`\n",
    "\n",
    "This is a file that contains a secret key used to encrypt the communications between the LCC-Server frontend and a backend instance of the authentication server. Normally, you don't need to touch this (and should NOT check this into a git repository).\n",
    "\n",
    "### `lcc-datasets.sqlite`\n",
    "\n",
    "This is an SQLite database that holds the details for the datasets generated by LCC-Server operations. Normally, you can leave this alone.\n",
    "\n",
    "### `lcc-index.sqlite`\n",
    "\n",
    "This is an SQLite database that holds the details for each light curve collection added to the LCC-Server. Normally, you can leave this alone.\n",
    "\n",
    "\n",
    "### `site-info.json`\n",
    "\n",
    "This file contains all the information you just entered when you called `lcc-server --basedir [blah] init-basedir`. You can edit this after the fact to make any changes necessary. One particular change of interest might be adding a fancy logo to the footer of any LCC-Server page. To do this, put the logo image file in `docs/static` and point to it using a `doc-static/image-file.png` path for the `institute_logo` key in this JSON file:\n",
    "\n",
    "```json\n",
    "{|\n",
    "    \"project\": \"LCC-Server demo\",\n",
    "    \"project_link\": \"https://example.org/astro/project\",\n",
    "    \"department\": \"Department of Astronomy\",\n",
    "    \"department_link\": \"https://example.org/astro\",\n",
    "    \"institution\": \"Example University\",\n",
    "    \"institution_link\": \"https://example.org\",\n",
    "    \"signups_allowed\": true,\n",
    "    \"logins_allowed\": true,\n",
    "    \"rate_limit_active\": true,\n",
    "    \"cache_location\": \"/tmp/lccserver_cache\",\n",
    "    \"institution_logo\": null,\n",
    "    \"email_settings_file\": \"/Users/waqasbhatti/mycode/astrobase-notebooks/lcc/.lccserver.secret-email\"\n",
    "}\n",
    "```\n",
    "\n",
    "Other things that might be of interest are allowing/disallowing signups and logins. If you don't have an email server set up, these will be disabled automatically."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing light curves\n",
    "\n",
    "Now that we've set up the LCC-Server's base directory, let's add your light curves and set up the databases used for searching. The CLI provides an interactive command for this: `lcc-server --basedir [blah] add-collection`. It walks you through the entire process:\n",
    "\n",
    "- basic LC collection information\n",
    "- light curve file and checkplot pickle file locations\n",
    "- light curve file conversion to LCC CSV format\n",
    "- running period-finding if you want\n",
    "- checkplot pickle generation if you don't have any yet\n",
    "- database generation\n",
    "- LC collection metadata generation\n",
    "- testing to see if searches can be performed correctly\n",
    "\n",
    "Let's go through this (many step) process. First, call `lcc-server` again:\n",
    "\n",
    "```\n",
    "(venv) $ lcc-server --basedir lcc add-collection\n",
    "```\n",
    "\n",
    "### Basic LC collection information\n",
    "\n",
    "This will bring up another interactive prompt session. Once again, you can hit Enter in response to just about any question to accept the default answer. A prompt like this: `[y/N]` means the default answer is going to be **No**, while a prompt like this: `[Y/n]` means the default answer is going to be **Yes**.\n",
    "\n",
    "Type in a collection identifier (hereafter the `collection-id`). This will be the directory name used for this collection under the LCC-Server's base directory.\n",
    "```\n",
    "Collection identifier [default: my-new-collection]\n",
    "```\n",
    "\n",
    "If you want to symlink your original light curves directory to the LCC-Server's `collection-id/lightcurves` directory, type in the path to this directory here. You can use tab completion here. If this is None, `lcc-server` will pause later to ask you to symlink or copy your original light curve files to `collection-id/lightcurves` yourself.\n",
    "```\n",
    "Original light curves directory [default: None]\n",
    "```\n",
    "\n",
    "If you already have checkplot pickles, you can symlink the directory containing these to the LCC-Server's `collection-id/checkplots` directory. You can use tab completion here. If this is None, `lcc-server` will pause later to ask you to symlink or copy your original light curve files to `collection-id/lightcurves` yourself. If you don't have any checkplot pickles at all, the LCC-Server will ask if it can generate them for you later. If you choose not to generate these, only bare-bones information will be available in the search interfaces (making them not very useful except for perhaps cone-searches and cross-matching).\n",
    "```\n",
    "Original checkplot pickles directory [default: None]\n",
    "```\n",
    "\n",
    "The command will then work for a bit and return something like:\n",
    "```\n",
    "W 190309 13:53:32 cli:443] no existing checkplot directory for collection: my-new-collection, making a new one at: lcc/my-new-collection/checkplots\n",
    "[W 190309 13:53:32 cli:463] no existing pfresult directory for collection: my-new-collection, making a new one at: lcc/my-new-collection/periodfinding\n",
    "[W 190309 13:53:32 cli:483] no existing lightcurve directory for collection: my-new-collection, making a new one at: lcc/my-new-collection/lightcurves\n",
    "[I 190309 13:53:32 cli:513] generated a stub lcformat-description.json file at: lcc/my-new-collection/lcformat-description.json\n",
    "[I 190309 13:53:32 cli:515] please fill this out using the instructions within so LCC-Server can read your original format light curves and convert them to common LCC CSVLC format\n",
    "Do you want to edit this LC collection's lcformat-description.json file now? [Y/n]\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The `lcformat-description.json` file\n",
    "\n",
    "Here, the command will pause and ask if you want to fill in a `lcformat-description.json` file describing the columns, structure, reader and normalization functions for your light curve files. \n",
    "\n",
    "If you choose **Yes** here or just hit Enter, `lcc-server` will ask if it can launch your default editor to edit this file. Hit Enter to accept the default or type in any other editor command that's on your executable `$PATH`.\n",
    "```\n",
    "Editor to use [default: emacs]:\n",
    "```\n",
    "\n",
    "If you choose **No** here, the command will exit and ask you to fill in the file, then rerun it after you're done:\n",
    "```\n",
    "Returning without a validated lcformat-description.json file.\n",
    "\n",
    "Please edit:\n",
    "\n",
    "/Users/waqasbhatti/mycode/astrobase-notebooks/lcc/my-new-collection/lcformat-description.json\n",
    "\n",
    "to describe your original light curve format and run this command again:\n",
    "\n",
    "lcc-server --basedir lcc add-collection\n",
    "\n",
    "Use: my-new-collection for the 'Collection identifier' prompt. We'll then proceed to the next step.```\n",
    "\n",
    "In either case, you need to fill in this file before proceeding to the next step. Let's talk about the `lcformat-description.json` file now. \n",
    "\n",
    "If you open the `lcformat-description.json` file with your editor, you'll see something like the JSON file below. I've filled in this file and added comments here to describe the entries as they pertain to the light curve files in our example here. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "lcformat_description_json = {\n",
    "    \n",
    "    ##############################\n",
    "    ## READING THE LIGHT CURVES ##\n",
    "    ##############################\n",
    "    \n",
    "    # This is the short key used to identify our files\n",
    "    \"lc_formatkey\": \"example-lcs\",\n",
    "\n",
    "    # This is the file glob used to find our light curve files in a directory\n",
    "    \"lc_fileglob\": \"*-lc.csv\",\n",
    "\n",
    "    # This is the path to the module to read our light curves\n",
    "    # - You can use {{collection_dir}} to refer to the LC collection directory here.\n",
    "    # - You can use {{home_dir}} to refer to your home directory here.\n",
    "    \"lc_readermodule\": \"{{collection_dir}}/lcreadermodule.py\",\n",
    "\n",
    "    # This is the function in our module to read light curves\n",
    "    \"lc_readerfunc\": \"read_lightcurve\",\n",
    "\n",
    "    # This allows us to add in extra kwargs that the reader function might need (like this example).\n",
    "    # If you don't need any kwargs, set this to null in the JSON\n",
    "    # - You can use {{collection_dir}} to refer to the LC collection directory here.\n",
    "    # - You can use {{home_dir}} to refer to your home directory here.\n",
    "    \"lc_readerfunc_kwargs\": {\n",
    "        \"objectinfo_catalog\": \"{{collection_dir}}/object-db.csv\"\n",
    "    },\n",
    "\n",
    "    # This module normalizes our light curves. You can set this to null to ignore normalization\n",
    "    # - You can use {{collection_dir}} to refer to the LC collection directory here.\n",
    "    # - You can use {{home_dir}} to refer to your home directory here.\n",
    "    \"lc_normalizemodule\": \"{{collection_dir}}/lcreadermodule.py\",\n",
    "\n",
    "    # This function normalizes our light curves. To ignore normalization, set this to null in the JSON\n",
    "    \"lc_normalizefunc\": \"normalize_lcdict\",\n",
    "\n",
    "    # Here, we add in kwargs our normalization function needs. \n",
    "    # To ignore normalization, set this to null in the JSON\n",
    "    \"lc_normalizefunc_kwargs\": {\"timecol\": \"rjd\", \"magcol\":\"aep_000\"},\n",
    "    \n",
    "    # This tells the LCC-Server if your measurements are magnitudes or fluxes\n",
    "    \"lc_measurements_flux_or_mag\": \"mag\",\n",
    "    \n",
    "    ###############################\n",
    "    ## COLUMN KEYS IN THE LCDICT ##\n",
    "    ###############################\n",
    "    \n",
    "    # This lists all column keys in the lcdict that are not affiliated with aperture-specific measurements\n",
    "    # For our light curves, these are: rjd, stf, xcc, ycc\n",
    "    \"unaffiliated_cols\": [\n",
    "        \"rjd\",\n",
    "        \"stf\",\n",
    "        \"xcc\",\n",
    "        \"ycc\"\n",
    "    ],\n",
    "    \n",
    "    # This lists the aperture labels in use for our lcdict.\n",
    "    # For our light curves, these are: 000, 001, 002 \n",
    "    \"mag_apertures\":[\n",
    "        \"000\",\n",
    "        \"001\",\n",
    "        \"002\"\n",
    "    ],\n",
    "    \n",
    "    # This is the character that joins aperture column keys and aperture labels\n",
    "    # For our light curves, this is a '_', e.g for 'aep_000' -> EPD mag in aperture 000\n",
    "    \"aperture_joiner\":\"_\",\n",
    "    \n",
    "    # This is the list of the column keys that appear per-aperture in the lcdict\n",
    "    # For our light curves, these are: aim, aie, aep\n",
    "    \"per_aperture_cols\":[\n",
    "        \"aim\",\n",
    "        \"aie\",\n",
    "        \"aep\"\n",
    "    ],\n",
    "    \n",
    "    ########################################\n",
    "    ## LCDICT KEYS TO DESCRIBE THE OBJECT ##\n",
    "    ########################################\n",
    "    \n",
    "    # These are keys in the lcdict that describe the object itself\n",
    "    # These can be simple dict keys, e.g. objectid -> lcdict['objectid']\n",
    "    # These can be compound keys, e.g. objectinfo.ra -> lcdict['objectinfo']['ra']\n",
    "\n",
    "    # For each key, we have to specify:\n",
    "    # - the key label\n",
    "    # - the key title\n",
    "    # - a Python string format specifier (like '%s' or '%12.5f')\n",
    "    # - Python type (like str or float)\n",
    "\n",
    "    # For our light curves, we have these keys: \n",
    "    # objectid, objectinfo.ra, objectinfo.decl, objectinfo.ndet (remember, these are all required) \n",
    "    # objectinfo.jmag, objectinfo.hmag, objectinfo.kmag (additional magnitude keys)\n",
    "    # You don't have to use all the keys in your lcdict.\n",
    "    # e.g. I've left off the objectinfo.observatory, objectinfo.telescope, and objectinfo.lcfname keys here\n",
    "    \"metadata_keys\":{\n",
    "        \"objectid\":[\n",
    "            \"object ID\",\n",
    "            \"%s\",\n",
    "            \"str\"\n",
    "        ],\n",
    "        \"objectinfo.ra\":[\n",
    "            \"RA [deg]\",\n",
    "            \"%.7f\",\n",
    "            \"float\"\n",
    "        ],\n",
    "        \"objectinfo.decl\":[\n",
    "            \"Dec [deg]\",\n",
    "            \"%.7f\",\n",
    "            \"float\"\n",
    "        ],\n",
    "        \"objectinfo.ndet\":[\n",
    "            \"Number of observations\",\n",
    "            \"%i\",\n",
    "            \"int\"\n",
    "        ],\n",
    "        \"objectinfo.jmag\":[\n",
    "            \"2MASS J [mag]\",\n",
    "            \"%.5f\",\n",
    "            \"float\"\n",
    "        ],\n",
    "        \"objectinfo.hmag\":[\n",
    "            \"2MASS H [mag]\",\n",
    "            \"%.5f\",\n",
    "            \"float\"\n",
    "        ],\n",
    "        \"objectinfo.kmag\":[\n",
    "            \"2MASS Ks [mag]\",\n",
    "            \"%.5f\",\n",
    "            \"float\"\n",
    "        ]\n",
    "    },\n",
    "    \n",
    "    ##############################\n",
    "    # COLUMN KEY SPECIFICATIONS ##\n",
    "    ##############################\n",
    "    \n",
    "    # Here, we describe the column keys we've chosen to extract from the light curve\n",
    "    # This includes columns that are unaffiliated with apertures and those that contain\n",
    "    # per-aperture measurements. The format is similar to the objectinfo key spec above,\n",
    "    # but here, we should make sure to include everything you listed in the \n",
    "    # \"unaffiliated_cols\" and \"per_aperture_cols\" JSON keys above. \n",
    "    # To add an aperture label to any column key description, use the '%s' string \n",
    "    # to indicate where this substitution should be made. See the examples below.\n",
    "\n",
    "    # For each key, we have to specify:\n",
    "    # - the key label\n",
    "    # - the key title\n",
    "    # - a Python string format specifier (like '%s' or '%12.5f')\n",
    "    # - Numpy dtype specifier (like i8, U20, f8, etc.)\n",
    "    \"column_keys\": {\n",
    "        \"rjd\":[\n",
    "            \"time of observation in Reduced Julian date (JD = 2400000.0 + RJD)\",\n",
    "            \"%.7f\",\n",
    "            \"f8\"\n",
    "        ],\n",
    "        \"stf\":[\n",
    "            \"the telescope ID of the observing station\",\n",
    "            \"%i\",\n",
    "            \"i8\"\n",
    "        ],\n",
    "        \"xcc\":[\n",
    "            \"x coordinate of the object on the CCD\",\n",
    "            \"%.3f\",\n",
    "            \"f8\"\n",
    "        ],\n",
    "        \"ycc\":[\n",
    "            \"y coordinate of the object on the CCD\",\n",
    "            \"%.3f\",\n",
    "            \"f8\"\n",
    "        ],\n",
    "        \"aim\":[\n",
    "            \"instrument magnitude measured in aperture %s\",\n",
    "            \"%.5f\",\n",
    "            \"f8\"\n",
    "        ],\n",
    "        \"aie\":[\n",
    "            \"error associated with instrumental magnitude in aperture %s\",\n",
    "            \"%.5f\",\n",
    "            \"f8\"\n",
    "        ],\n",
    "        \"aep\":[\n",
    "            \"EPD magnitude measured in aperture %s\",\n",
    "            \"%.5f\",\n",
    "            \"f8\"\n",
    "        ]\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we've filled out the `lcformat-description.json` file, let's make sure it's in place before the next step. Since I copied the template into a Python dict variable, we can write it back to where it's supposed to go."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/waqasbhatti/mycode/astrobase-notebooks'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "with open(\n",
    "    'lcc/my-new-collection/lcformat-description.json'\n",
    "    ,'w'\n",
    ") as outfd:\n",
    "    json.dump(lcformat_description_json, outfd, indent=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\r\n",
      "  \"lc_formatkey\": \"example-lcs\",\r\n",
      "  \"lc_fileglob\": \"*-lc.csv\",\r\n",
      "  \"lc_readermodule\": \"{{collection_dir}}/lcreadermodule.py\",\r\n",
      "  \"lc_readerfunc\": \"read_lightcurve\",\r\n",
      "  \"lc_readerfunc_kwargs\": {\r\n",
      "    \"objectinfo_catalog\": \"{{collection_dir}}/object-db.csv\"\r\n",
      "  },\r\n",
      "  \"lc_normalizemodule\": \"{{collection_dir}}/lcreadermodule.py\",\r\n",
      "  \"lc_normalizefunc\": \"normalize_lcdict\",\r\n",
      "  \"lc_normalizefunc_kwargs\": {\r\n",
      "    \"timecol\": \"rjd\",\r\n",
      "    \"magcol\": \"aep_000\"\r\n",
      "  },\r\n"
     ]
    }
   ],
   "source": [
    "# make sure it looks OK\n",
    "!head -n 14 lcc/my-new-collection/lcformat-description.json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Copy over the object-db.csv and lcreadermodule.py files to collection\n",
    "# directory as we indicated in the lcformat-description.json file\n",
    "!cp lcreadermodule.py lcc/my-new-collection/\n",
    "!cp lcc-server-demo/object-db.csv lcc/my-new-collection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Converting light curves to LCC CSV format\n",
    "\n",
    "Let's continue by calling `lcc-server` again if we decided to edit the `lcformat-description.json` file at our leisure (like we did here). If you followed along in your editor, save and exit the file and you will see something like the following when you get to the `lcformat-description.json` validation stage:\n",
    "\n",
    "```\n",
    "I 190309 14:05:17 cli:1492] Existing lcformat-description.json found at: /Users/waqasbhatti/mycode/astrobase-notebooks/lcc/my-new-collection/lcformat-description.json\n",
    "[I 190309 14:05:18 cli:1502] Everything checks out!\n",
    "Please copy or symlink your original format light curves into this LC collection's lightcurves directory:\n",
    "\n",
    "/Users/waqasbhatti/mycode/astrobase-notebooks/lcc/my-new-collection/lightcurves\n",
    "\n",
    "We'll wait here until you're ready. [hit Enter to continue]\n",
    "```\n",
    "\n",
    "Let's copy over our files into directory specified."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/waqasbhatti/mycode/astrobase-notebooks'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# copy your light curves into the collection's LC directory\n",
    "!cp lcc-server-demo/lightcurves/*.csv lcc/my-new-collection/lightcurves/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hit Enter back at the `lcc-server` prompt to continue. The command will ask if you want to convert your light curves to the output format now. This is optionally, but is generally a good idea, and greatly speeds up queries when the LCC-Server is up and running. \n",
    "```\n",
    "The LCC server can convert your original format LCs to the common LCC CSV format as they are requested in search results, but it might slow down your queries. Do you want to convert your original format light curves to LCC CSV format now? [y/N]\n",
    "```\n",
    "\n",
    "Let's answer **Yes**. The LCC-Server will then ask if you want to normalize your output LCs. Generally, you don't want to do this to preserve the original measurement values, and the LCC-Server will only normalize light curves for visualization purposes. If you do want to normalize the LCs, answer **Yes** here. Otherwise, accept the default option of **No**.\n",
    "\n",
    "```\n",
    "An LC normalization function has been specified:\n",
    "\n",
    "functools.partial(<function normalize_lcdict at 0x117792488>, timecol='rjd', magcol='aep_000')\n",
    "\n",
    "Generally, the output converted LCs should not be normalized to preserve their original measurement values.\n",
    "Do you want to normalize the output converted light curves? [y/N]\n",
    "```\n",
    "\n",
    "The LCC-Server will then launch the LC conversion tasks:\n",
    "\n",
    "```\n",
    "Launching conversion tasks. This might take a while...\n",
    "[I 190309 14:08:44 cli:631] converting light curves...\n",
    "```\n",
    "\n",
    "The command will block until they finish."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparing the object catalogs\n",
    "\n",
    "Once the light curve conversion is done, you will see something like the following: \n",
    "\n",
    "```\n",
    "Your original format light curves contain the following keys when read into an lcdict:\n",
    "\n",
    "rjd\n",
    "stf\n",
    "xcc\n",
    "ycc\n",
    "aim_000\n",
    "aie_000\n",
    "aim_001\n",
    "aie_001\n",
    "aim_002\n",
    "aie_002\n",
    "aep_000\n",
    "aep_001\n",
    "aep_002\n",
    "\n",
    "Which key in the lcdict do you want to use for the time column?\n",
    "```\n",
    "\n",
    "This is the initial LC catalog generation step, which requires specification of a magnitude column to use for generating light curve statistics. This should be accompanied by associated time and err columns. The command will walk you through selecting each of these. You can tab complete at each prompt.\n",
    "\n",
    "Once you answer all the prompts, the command will generate the initial LC catalog:\n",
    "\n",
    "```\n",
    "Which key in the lcdict do you want to use for the time column? rjd\n",
    "Which key in the lcdict do you want to use for the mag column? aep_000\n",
    "Which key in the lcdict do you want to use for the err column? aie_000\n",
    "Generating a light curve list pickle using magcol: aep_000...\n",
    "Generating a light curve list using magcol: aep_000...\n",
    "[I 190309 14:14:58 __init__:364] adding example-lcs to LC format registry...\n",
    "[I 190309 14:14:58 catalogs:498] searching for example-lcs light curves in /Users/waqasbhatti/mycode/astrobase-notebooks/lcc/my-new-collection/lightcurves ...\n",
    "[I 190309 14:14:58 catalogs:533] found 100 light curves\n",
    "[I 190309 14:14:58 catalogs:569] collecting light curve info...\n",
    "```\n",
    "\n",
    "The next step will ask if you have existing checkplot pickles:\n",
    "\n",
    "```\n",
    "[I 190309 14:15:00 catalogs:664] kdtree generated for (ra, decl): (objectinfo.ra, objectinfo.decl)\n",
    "[I 190309 14:15:00 catalogs:737] done. LC info -> /Users/waqasbhatti/mycode/astrobase-notebooks/lcc/my-new-collection/lclist.pkl\n",
    "Done. 100 total light curves found.\n",
    "\n",
    "We will now generate a base object catalog using the information from any checkplot pickles you have prepared from these light curves. Please copy or symlink your checkplot pickles into the directory:\n",
    "\n",
    "/Users/waqasbhatti/mycode/astrobase-notebooks/lcc/my-new-collection/checkplots\n",
    "\n",
    "NOTE: this is optional, but highly recommended. If you don't have any checkplot pickles prepared, we can prepare checkplot pickles automatically from your light curves.\n",
    "\n",
    "We'll wait here until you're ready. [hit Enter to continue]\n",
    "```\n",
    "\n",
    "If you have existing checkplot pickles, copy them over to the specified directory and hit Enter. If you don't have any at the moment (like we don't), then hitting Enter will bring you to the prompt for running period-finding on your LCs:\n",
    "\n",
    "```\n",
    "Do you want to run period-finding on your light curves?\n",
    "This is optional and will probably take some time to run,\n",
    "but will add in phased light curve plots to the detailed\n",
    "object information displayed by the LCC-Server.\n",
    "NOTE: If you have already generated checkplot pickles with\n",
    "period-finding information in them, hit Enter below to skip\n",
    "this step.\n",
    "\n",
    "Run period-finding now? [y/N]\n",
    "```\n",
    "\n",
    "If you answer **Yes** here, period-finding will launch:\n",
    "\n",
    "```\n",
    "Running period-finders: GLS, BLS, PDM with automatic\n",
    "period interval determination for GLS & PDM, and\n",
    "using a period interval of [1.0, 100.0] days for BLS.\n",
    "This will take a while...\n",
    "```\n",
    "\n",
    "Once period-finding is done, the command will ask about making checkplot pickles if you don't have any for this collection, or didn't copy these over earlier:\n",
    "\n",
    "```\n",
    "No existing checkplot pickles were found.\n",
    "\n",
    "Do you want to generate checkplot pickles for your light curves? These will contain the following information:\n",
    "\n",
    "finder chart, variability features, colors (if mags available in LC objectinfo), color features (if mags available in LC objectinfo), GAIA and SIMBAD cross-match info\n",
    "\n",
    "Calls to external services such as GAIA, 2MASS DUST, SIMBAD, and NASA SkyView will run using a hard 10 second timeout.\n",
    "\n",
    "Generate checkplot pickles [y/N]:\n",
    "```\n",
    "\n",
    "If you choose to enter **Yes** here, the checkplot pickle making process will launch. If you choose **No**, then the command will skip to the next step: generating databases. In this case, you will have only bare-bones info for each object and the only useful information will be their coordinates. \n",
    "\n",
    "It's highly recommended to use the LCC-Server with full checkplot pickles generated either beforehand or in this step to take advantage of the extra object, variability, and external catalog cross-match information in your search queries. \n",
    "\n",
    "**NOTE**: If you run period-finding as part of the `add-collection` command, or generate checkplot pickles with period-finding results before bringing them into an LC collection for LCC-Server, you can incorporate these results into the databases generated by LCC-Server. This will allow you to see phased LCs when you look up object info in the LCC-Server interface.\n",
    "\n",
    "For now, we'll choose to generate checkplot pickles for our objects. You'll see lots of info scroll by as the checkplot pickle making processes generate finder charts, light curve plots, and incorporate external catalog info. This stage of the pipeline will take a while to finish."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once the checkplot pickle making processes finish, the command will start generating the object catalog databases. You'll see something like this when this finishes. The next few prompts will ask you to fill in some metadata about this light curve collection. Once again, feel free to hit Enter through all of these prompts to accept the default values (but you probably want to customize these).\n",
    "```\n",
    "Found 100 checkplot pickles. Generating augmented object catalog and kd-tree...\n",
    "100%|████████████████████████████████████████████████████████████████| 100/100 [00:00<00:00, 34830.63it/s]\n",
    "[I 190309 14:41:23 abcat:104] wrote kdtree from /Users/waqasbhatti/mycode/astrobase-notebooks/lcc/my-new-collection/lclist-catalog.pkl to /Users/waqasbhatti/mycode/astrobase-notebooks/lcc/my-new-collection/catalog-kdtree.pkl\n",
    "```\n",
    "\n",
    "The first question will be about the name of the collection as it will appear in the LCC Server interface.\n",
    "```\n",
    "Name of this LC collection [default: Example LC collection]: My awesome LC collection\n",
    "```\n",
    "\n",
    "Next, fill in the name of the project associated with this LC collection\n",
    "```\n",
    "Project associated with this LC collection [default: Example Variable Star Survey]:\n",
    "```\n",
    "\n",
    "Fill in the data release number. Note that no convention is enforced here except that this should be an integer.\n",
    "```\n",
    "Data release number [default: 1]:\n",
    "```\n",
    "\n",
    "Fill in a citation that people should use to refer to this LC collection.\n",
    "```\n",
    "Citation for this collection [default: Me and my friends et al. (2018)]:\n",
    "```\n",
    "\n",
    "Answer whether this LC collection should be visible on the LCC-Server interface to everyone:\n",
    "```\n",
    "Is this LC collection publicly visible or unlisted? [P/u]\n",
    "```\n",
    "\n",
    "If the LC collection is **unlisted**, only users with **staff** or **superuser** privileges will be able to see it. By default, the LC collection is **public**, meaning everyone can see it and run searches against it. Accepting the default here is generally OK. You can hide individual objects in an LC collection later if required.\n",
    "\n",
    "Finally, `lcc-server` will ask you to fill out a narrative description for this LC collection and will launch your default editor to edit this. You can use Markdown here and it will be rendered to HTML transparently in the web interface.\n",
    "```\n",
    "We'll now launch your editor to edit the description for this collection. You can use Markdown here.\n",
    "DOIs and NASA ADS bibcodes will be linkified automatically.\n",
    "Editor to use [default: emacs]:\n",
    "```\n",
    "\n",
    "Once you're done, the process will continue and finish up the catalog and database generation:\n",
    "\n",
    "```\n",
    "Building object database...\n",
    "[I 190309 14:45:38 abcat:216] collecting column information from /Users/waqasbhatti/mycode/astrobase-notebooks/lcc/my-new-collection/lclist-catalog.pkl\n",
    "\n",
    "[...lots of output about database generation...]\n",
    "\n",
    "[I 190309 14:45:38 abcat:596] objects in /Users/waqasbhatti/mycode/astrobase-notebooks/lcc/my-new-collection/lclist-catalog.pkl: 100, generating SQLite database...\n",
    "\n",
    "[...lots of output about database generation...]\n",
    "\n",
    "I 190309 14:45:38 abcat:629] object_catalog table created successfully, now inserting objects...\n",
    "100%|█████████████████████████████████████████████████████████████████| 100/100 [00:00<00:00, 3626.75it/s]\n",
    "[I 190309 14:45:38 abcat:829] creating an FTS index on columns ['color_classes', 'simbad_best_mainid', 'objecttags', 'ticid', 'simbad_best_allids', 'simbad_best_objtype', 'twomassid', 'objectid', 'gaia_id', 'aep_000_comments', 'aep_000_vartags']\n",
    "\n",
    "[...lots of output about database generation...]\n",
    "\n",
    "[I 190309 14:45:38 abcat:1806] added light curve collection: example-lcs with 100 objects, LCs at: /Users/waqasbhatti/mycode/astrobase-notebooks/lcc/my-new-collection/lightcurves to the light curve collection index database: /Users/waqasbhatti/mycode/astrobase-notebooks/lcc/lcc-index.sqlite\n",
    "Adding this collection the LCC-Server's footprint SVG...\n",
    "\n",
    "[...lots of output about generating a footprint SVG for your LC collection...]\n",
    "\n",
    "Done.\n",
    "\n",
    "Running a quick search to test your LCC-Server installation...\n",
    "\n",
    "[...lots of testing output...]\n",
    "\n",
    "All done!\n",
    "\n",
    "You can start an LCC-Server instance using the command below:\n",
    "\n",
    "lcc-server --basedir /Users/waqasbhatti/mycode/astrobase-notebooks/lcc run-server\n",
    "\n",
    "You can start an IPython shell to explore this LC collection using the command below:\n",
    "\n",
    "lcc-server --basedir /Users/waqasbhatti/mycode/astrobase-notebooks/lcc shell\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running the LCC-Server"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the `lcc-server run-server` command suggested at the end:\n",
    "\n",
    "```\n",
    "$ lcc-server --basedir /Users/waqasbhatti/mycode/astrobase-notebooks/lcc run-server\n",
    "/Users/waqasbhatti/py37-venv/lib/python3.7/site-packages/fuzzywuzzy/fuzz.py:11: UserWarning: Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning\n",
    "  warnings.warn('Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning')\n",
    "[I 190309 14:50:14 authdb:886] Using secret from specified secret file.\n",
    "[I 190309 14:50:14 main:286] removed 0 stale items from authdb cache\n",
    "[W 190309 14:50:14 session:527] no sessions older than 2019-03-02T19:50:14.220930Z found to delete. returning...\n",
    "[I 190309 14:50:14 main:324] Started authnzerver. listening on http://127.0.0.1:12600\n",
    "[I 190309 14:50:14 main:326] Background worker processes: 4. IOLoop in use: uvloop\n",
    "[I 190309 14:50:14 main:327] Base directory is: /Users/waqasbhatti/mycode/astrobase-notebooks/lcc\n",
    "[I 190309 14:50:14 __init__:176] An Astropy implementation of BLS is available because Astropy >= 3.1.\n",
    "[I 190309 14:50:14 __init__:178] If you want to use it as the default periodbase BLS runner, call the periodbase.use_astropy_bls() function.\n",
    "[I 190309 14:50:15 checkplotserver:480] started checkplotserver. listening on http://127.0.0.1:5225/\n",
    "/Users/waqasbhatti/py37-venv/lib/python3.7/site-packages/fuzzywuzzy/fuzz.py:11: UserWarning: Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning\n",
    "  warnings.warn('Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning')\n",
    "[I 190309 14:50:15 authdb:886] Using secret from specified secret file.\n",
    "[I 190309 14:50:15 authdb:886] Using secret from specified secret file.\n",
    "[I 190309 14:50:15 authdb:886] Using secret from specified secret file.\n",
    "[W 190309 14:50:15 indexserver:289] Site info: no email server is set up.\n",
    "[W 190309 14:50:15 indexserver:306] Site info: no email server set up, user logins cannot be enabled.\n",
    "[W 190309 14:50:15 indexserver:327] Site info: no email server set up, user signups cannot be enabled.\n",
    "[I 190309 14:50:15 indexserver:946] Started indexserver. listening on http://0.0.0.0:12500\n",
    "[I 190309 14:50:15 indexserver:948] Background worker processes: 4, IOLoop in use: uvloop\n",
    "[I 190309 14:50:15 indexserver:949] The current base directory is: /Users/waqasbhatti/mycode/astrobase-notebooks/lcc\n",
    "```\n",
    "\n",
    "And navigate to http://localhost:12500 to see the server in action. A couple of example screenshots are below. To see more: https://github.com/waqasbhatti/lcc-server/tree/master/docs. To stop the server, use **Ctrl+C**. \n",
    "\n",
    "Docs for using the server are available in the Github repository: https://github.com/waqasbhatti/lcc-server/tree/master/lccserver/server-docs and can be browsed on your own LCC-Server instance as well, at: http://localhost:12500/docs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image('/Users/waqasbhatti/Downloads/screencapture-localhost-12500-2019-03-09-14_52_13.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image('/Users/waqasbhatti/Downloads/screencapture-localhost-12500-set-ZwUELIC5Tyg-2019-03-09-14_54_05.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}