{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example of Jupyter/Ginga widget"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is an example of creating a Jupyter data viewer widget using a Jupyter image\n",
    "widget and the Ginga viewer toolkit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# create a Jupyter image that will be our display surface\n",
    "# format can be 'jpeg' or 'png'; specify width and height to set viewer size\n",
    "# PNG will be a little clearer, especially with overlaid graphics, but\n",
    "# JPEG is faster to update\n",
    "import ipywidgets as widgets\n",
    "jup_img = widgets.Image(format='jpeg', width=500, height=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Boilerplate to create a Ginga viewer connected to this widget\n",
    "# this could be simplified, or hidden behind a class or convenience \n",
    "# method\n",
    "from ginga.misc.log import get_logger\n",
    "logger = get_logger(\"my viewer\", log_stderr=True, level=20)\n",
    "\n",
    "from ginga.web.jupyterw.ImageViewJpw import EnhancedCanvasView\n",
    "v1 = EnhancedCanvasView(logger=logger)\n",
    "v1.set_widget(jup_img)\n",
    "\n",
    "# Most ginga back ends create a bindings object for you.\n",
    "# Because we don't have any UI events on a Jupyter Image widget (yet),\n",
    "# it doesn't create one as it will not work properly for everything.\n",
    "# It is, nevertheless, useful for connecting to some controls like\n",
    "# panning.  So we create one here.\n",
    "from ginga.Bindings import ImageViewBindings\n",
    "bd = ImageViewBindings(logger)\n",
    "bd.enable_all(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Create a very basic GUI with two sliders for panning and two\n",
    "# buttons for zooming.  There are no event callbacks for actions\n",
    "# on the image widget, so we have to do everything with external\n",
    "# controls\n",
    "\n",
    "# Again, could be folded into a class or convenience method to \n",
    "# create a viewer on demand\n",
    "\n",
    "hpan = widgets.FloatSlider(\n",
    "    value=5.0,\n",
    "    min=0,\n",
    "    max=10.0,\n",
    "    step=0.5,\n",
    "    disabled=False,\n",
    "    continuous_update=True,\n",
    "    orientation='horizontal',\n",
    "    readout=True,\n",
    "    readout_format='.1f',\n",
    "    slider_color='white'\n",
    ")\n",
    "vpan = widgets.FloatSlider(\n",
    "    value=5.0,\n",
    "    min=0,\n",
    "    max=10.0,\n",
    "    step=0.5,\n",
    "    disabled=False,\n",
    "    continuous_update=True,\n",
    "    orientation='vertical',\n",
    "    readout=True,\n",
    "    readout_format='.1f',\n",
    "    slider_color='white'\n",
    ")\n",
    "\n",
    "# callback for panning\n",
    "def pan_pct(hpan, vpan):\n",
    "    bd.pan_by_pct(v1, hpan.value / 10., vpan.value / 10.)\n",
    "\n",
    "hpan.observe(lambda w: pan_pct(hpan, vpan))\n",
    "vpan.observe(lambda w: pan_pct(hpan, vpan))\n",
    "\n",
    "zoom_in = widgets.Button(\n",
    "    description='+',\n",
    "    tooltip='Zoom in the image',\n",
    ")\n",
    "zoom_in.on_click(lambda btn: v1.zoom_in())\n",
    "zoom_out = widgets.Button(\n",
    "    description='-',\n",
    "    tooltip='Zoom out the image',\n",
    ")\n",
    "zoom_out.on_click(lambda btn: v1.zoom_out())\n",
    "\n",
    "widgets.HBox([widgets.VBox([jup_img, hpan]), widgets.VBox([vpan, zoom_in, zoom_out])])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: FITSFixedWarning: RADECSYS= 'FK5 ' \n",
      "the RADECSYS keyword is deprecated, use RADESYSa. [astropy.wcs.wcs]\n",
      "WARNING: FITSFixedWarning: 'unitfix' made the change 'Changed units: 'degree' -> 'deg', 'degree' -> 'deg''. [astropy.wcs.wcs]\n"
     ]
    }
   ],
   "source": [
    "# Load a FITS file.  You should see the embedded image update.\n",
    "v1.load_fits(\"/Users/eric/testdata/SPCAM/SUPA01118766.fits\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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P8Ko3eryXEjGRsOuMHHT9KxxP+4Vgufx96jEy84G3b260ASTNI5XeMdcc1E8g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\nKAP/2Q==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# grab a screenshot.\n",
    "v1.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can now do nearly everything that can be done with a regular \"pg\" type ginga web widget.\n",
    "The big difference is that this Jupyter widget currently has no cursor, mouse or keyboard interaction.\n",
    "You have to add your own widgets or use programmatic control for any interaction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "v1.cut_levels(0, 500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "v1.auto_levels()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "v1.zoom_to(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "v1.set_pan(1420.4, 1210.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [py3k]",
   "language": "python",
   "name": "Python [py3k]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
