{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "supposed-bulgarian",
   "metadata": {},
   "source": [
    "## Access Saved Data Via the Web\n",
    "\n",
    "**This tutorial shows Databoker 2.0.0, which is in prelease. It is currently being evaluated and tested at some NSLS-II beamlines.**\n",
    "\n",
    "**To run this, first we need to point Juptyer at a separate Python environment. Execute the line below, and the click \"Python 3\" in the top-right corner of this notebook, and choose \"Python 3 (preview)\" from the options that appear.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "distributed-albania",
   "metadata": {},
   "outputs": [],
   "source": [
    "!/srv/conda/envs/preview/bin/python -m ipykernel install --user --name preview --display-name \"Python 3 (preview)\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "impaired-study",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tiled.client import from_uri"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "proof-portugal",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = from_uri(\"http://data-samples.blueskyproject.io\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "timely-child",
   "metadata": {},
   "outputs": [],
   "source": [
    "c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "shared-receptor",
   "metadata": {},
   "outputs": [],
   "source": [
    "c['bmm']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "accepted-logging",
   "metadata": {},
   "outputs": [],
   "source": [
    "run = c['bmm'][22521]\n",
    "run"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "editorial-admission",
   "metadata": {},
   "outputs": [],
   "source": [
    "run['primary']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "heated-attention",
   "metadata": {},
   "outputs": [],
   "source": [
    "run['primary']['data']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fixed-belle",
   "metadata": {},
   "outputs": [],
   "source": [
    "run['primary']['data'][['dcm_energy', 'I0', 'It']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "naval-acceptance",
   "metadata": {},
   "outputs": [],
   "source": [
    "run['primary']['data'].uri"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "according-peripheral",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (preview)",
   "language": "python",
   "name": "preview"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}