{
 "cells": [
  {
   "metadata": {
    "trusted": true,
    "collapsed": false
   },
   "cell_type": "code",
   "source": "from bluesky import *\nfrom bluesky.examples import *\nfrom bluesky.callbacks import CallbackBase\nfrom bluesky.standard_config import RE\n# RE = RunEngine()\n# RE.memory['beamline_id'] = 'c08i'\nRE.verbose = False\nfrom collections import OrderedDict",
   "execution_count": 1,
   "outputs": [
    {
     "output_type": "stream",
     "text": ":0: FutureWarning: IPython widgets are experimental and may change in the future.\n",
     "name": "stderr"
    }
   ]
  },
  {
   "metadata": {
    "trusted": true,
    "collapsed": true
   },
   "cell_type": "code",
   "source": "def doc_type(doc):\n    \"\"\"Determine if 'doc' is a 'start', 'stop', 'event' or 'descriptor'\n\n    Returns\n    -------\n    {'start', 'stop', 'event', descriptor'}\n    \"\"\"\n    # use an ordered dict to be a little faster with the assumption that\n    # events are going to be the most common, then descriptors then\n    # start/stops should come as pairs\n    field_mapping = OrderedDict()\n    field_mapping['event'] = ['seq_num', 'data']\n    field_mapping['descriptor'] = ['data_keys', 'run_start']\n    field_mapping['start'] = ['scan_id', 'beamline_config']\n    field_mapping['stop'] = ['reason', 'exit_status']\n\n    for doc_type, required_fields in field_mapping.items():\n        could_be_this_one = True\n        for field in required_fields:\n            try:\n                doc[field]\n            except KeyError:\n                could_be_this_one = False\n        if could_be_this_one:\n            print('document is a %s' % doc_type)\n            return doc_type\n\n    raise ValueError(\"Cannot determine the document type. Document I was \"\n                     \"given = {}\".format(doc))",
   "execution_count": 2,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true,
    "collapsed": false
   },
   "cell_type": "code",
   "source": "# callbacker = CallbackBase()\n# doc_type = callbacker.dispatch\ncb = doc_type\n\nRE(stepscan(motor, det), subs={'start': cb, \n                               'stop': cb, \n                               'event': cb,\n                               'descriptor': cb}, beamline_id='c08i')",
   "execution_count": 3,
   "outputs": [
    {
     "output_type": "stream",
     "text": "The following exceptions were raised during processing of the [[start]] queue\n\nError 0\n-------\nCannot determine the document type. Document I was given = {'scan_id': 1, 'time': 1433794634.8274412, 'beamline_id': 'c08i', 'uid': '5f4c3da8-e2b9-4100-95b6-75a511a6e193', 'owner': 'edill'}\n\n\tTraceback\n\t---------\n\t  File \"/home/edill/Dropbox/dev/python/bluesky/bluesky/utils.py\", line 168, in process\n    func(*args, **kwargs)\n\n\t  File \"/home/edill/Dropbox/dev/python/bluesky/bluesky/utils.py\", line 249, in __call__\n    return mtd(*args, **kwargs)\n\n\t  File \"<ipython-input-2-17035da912a4>\", line 29, in doc_type\n    \"given = {}\".format(doc))\n\ndocument is a descriptor\ndocument is a event\ndocument is a event\ndocument is a event\ndocument is a event\ndocument is a event\ndocument is a event\ndocument is a event\ndocument is a event\ndocument is a event\ndocument is a event\ndocument is a stop\n",
     "name": "stdout"
    }
   ]
  },
  {
   "metadata": {
    "trusted": true,
    "collapsed": true
   },
   "cell_type": "code",
   "source": "",
   "execution_count": null,
   "outputs": []
  }
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