{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "# Using widgets in IPython Parallel\n",
    "\n",
    "IPython Parallel 7.1 introduces basic support for using Jupyter widgets from a notebook to engines.\n",
    "\n",
    "This allows things like progress bars for incremental stages,\n",
    "when IPP's own task-level progress doesn't show you enough information.\n",
    "\n",
    "As always, we start by creating and connecting to a cluster:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting 4 engines with <class 'ipyparallel.cluster.launcher.LocalEngineSetLauncher'>\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/4 [00:00<?, ?engine/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<DirectView all>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import ipyparallel as ipp\n",
    "\n",
    "rc = ipp.Cluster(n=4).start_and_connect_sync()\n",
    "rc.activate()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2",
   "metadata": {},
   "source": [
    "IPython widgets support updateable readouts of things like progress.\n",
    "\n",
    "There are [lots of widgets to choose from][widget list], but for our purposes,\n",
    "we are going to use `IntProgress`\n",
    "\n",
    "[widget list]: https://ipywidgets.readthedocs.io/en/stable/examples/Widget%20List.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dc361372c39e4a88a9eddd35967bc4b8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntProgress(value=0, description='Step 0', max=10)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "import ipywidgets as W\n",
    "from IPython.display import display\n",
    "\n",
    "progress = W.IntProgress(min=0, max=10, description=\"Step 0\", readout=True)\n",
    "display(progress)\n",
    "\n",
    "for i in range(10):\n",
    "    progress.value += 1\n",
    "    progress.description = f\"Step {progress.value}/{progress.max}\"\n",
    "    time.sleep(0.1)\n",
    "\n",
    "progress.bar_style = \"success\"  # change color when it's done"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4",
   "metadata": {},
   "source": [
    "IPython Parallel supports progress and interactive waits on AsyncResult objects,\n",
    "which is great when your tasks are small and you have a lot of them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b969bda88b784a9fb4c1b3e47af978d1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "<lambda>:   0%|          | 0/1000 [00:00<?, ?tasks/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "view = rc.load_balanced_view()\n",
    "view.map_async(lambda x: x * 2, range(1000)).wait_interactive()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6",
   "metadata": {},
   "source": [
    "but the unit of progress is each function call.\n",
    "\n",
    "If you have only a few large *IPython* tasks,\n",
    "you only get feedback when the whole task is done on a given engine:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "99c7845dd95e421ebd670f1b7d796301",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "%px:   0%|          | 0/4 [00:00<?, ?tasks/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%px --block\n",
    "import time\n",
    "\n",
    "\n",
    "def do_some_work(t):\n",
    "    time.sleep(t)\n",
    "\n",
    "\n",
    "do_some_work(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8",
   "metadata": {},
   "source": [
    "Combining widgets with tasks allows us to show our progress in stages, including showing progress for every engine.\n",
    "\n",
    "This way we get to see progress *within* the task, even though IPython Parallel can't tell what's going on within your black-box task"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AsyncResult(scatter): pending>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rc[:].scatter(\"rank\", rc.ids, flatten=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[output:1]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fab62a72396946c4a23713818e810cf6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntProgress(value=0, description='rank 1: 0', max=10)"
      ]
     },
     "metadata": {
      "engine": 1
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[output:3]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "09fed44290574465abc2af7da1473db8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntProgress(value=0, description='rank 3: 0', max=10)"
      ]
     },
     "metadata": {
      "engine": 3
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[output:0]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6ba7ddeac80b4b25af7e2f76df76fb9f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntProgress(value=0, description='rank 0: 0', max=10)"
      ]
     },
     "metadata": {
      "engine": 0
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[output:2]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9248af9c8c604c30a83386b742afab1d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntProgress(value=0, description='rank 2: 0', max=10)"
      ]
     },
     "metadata": {
      "engine": 2
     },
     "output_type": "display_data"
    },
    {
     "data": {
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       "version_minor": 0
      },
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       "%px:   0%|          | 0/4 [00:00<?, ?tasks/s]"
      ]
     },
     "metadata": {},
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    }
   ],
   "source": [
    "%%px --block\n",
    "import random\n",
    "\n",
    "import ipywidgets as W\n",
    "from IPython.display import display\n",
    "\n",
    "rank = globals()[\"rank\"]  # no-op for linter\n",
    "n_steps = 10\n",
    "\n",
    "rank  # noqa\n",
    "progress = W.IntProgress(max=n_steps, description=f\"rank {rank}: 0\")\n",
    "\n",
    "\n",
    "def _set_color(change):\n",
    "    if change.new == progress.max:\n",
    "        progress.bar_style = \"success\"\n",
    "    else:\n",
    "        progress.bar_style = \"\"\n",
    "\n",
    "\n",
    "progress.observe(_set_color, \"value\")\n",
    "display(progress)\n",
    "\n",
    "for i in range(n_steps):\n",
    "    time.sleep(random.random())\n",
    "    progress.value += 1\n",
    "    progress.description = f\"rank {rank}: {progress.value}/{progress.max}\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11",
   "metadata": {},
   "source": [
    "Producing progress bars for every engine can get *very* unwieldy if you have more than a few engines.\n",
    "\n",
    "Here's an example where only rank 0 reports its progress,\n",
    "giving a more succinct presentation, assuming rank 0 knows sufficient information about what's going on\n",
    "(e.g. an MPI-based simulation).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[output:0]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8de22f6be92143b8bb8c88c3b0f46e9c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntProgress(value=0, description='Step 0', max=10)"
      ]
     },
     "metadata": {
      "engine": 0
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "accabe33802e4865a0fec03c04511282",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "%px:   0%|          | 0/4 [00:00<?, ?tasks/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[stdout:0] rank 0: done!\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[stdout:1] rank 1: done!\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[stdout:3] rank 3: done!\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[stdout:2] rank 2: done!\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%px --block\n",
    "import random\n",
    "import time\n",
    "\n",
    "import ipywidgets as W\n",
    "from IPython.display import display\n",
    "\n",
    "n_steps = 10\n",
    "\n",
    "if rank == 0:\n",
    "    progress = W.IntProgress(max=n_steps, description=\"Step 0\")\n",
    "\n",
    "    def _set_color(change):\n",
    "        if change.new == progress.max:\n",
    "            progress.bar_style = \"success\"\n",
    "        else:\n",
    "            progress.bar_style = \"\"\n",
    "\n",
    "    progress.observe(_set_color, \"value\")\n",
    "    display(progress)\n",
    "\n",
    "for i in range(n_steps):\n",
    "    time.sleep(random.random())\n",
    "    if rank == 0:\n",
    "        progress.value += 1\n",
    "        progress.description = f\"Step {progress.value}/{progress.max}\"\n",
    "\n",
    "print(f\"rank {rank}: done!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13",
   "metadata": {},
   "source": [
    "Widgets also support two-way communication,\n",
    "using buttons and text areas for input.\n",
    "These also work in IPython Parallel,\n",
    "allowing feedback between engines and a notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[output:2]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "model_id": "240ce0163a9e4692b91ab8291c003ef7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(Label(value='Rank 2'), Button(description='step', style=ButtonStyle()), IntProgress(value=0, de…"
      ]
     },
     "metadata": {
      "engine": 2
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[output:3]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "HBox(children=(Label(value='Rank 3'), Button(description='step', style=ButtonStyle()), IntProgress(value=0, de…"
      ]
     },
     "metadata": {
      "engine": 3
     },
     "output_type": "display_data"
    },
    {
     "data": {
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     },
     "metadata": {},
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      },
      "text/plain": [
       "HBox(children=(Label(value='Rank 0'), Button(description='step', style=ButtonStyle()), IntProgress(value=0, de…"
      ]
     },
     "metadata": {
      "engine": 0
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[output:1]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "version_major": 2,
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      },
      "text/plain": [
       "HBox(children=(Label(value='Rank 1'), Button(description='step', style=ButtonStyle()), IntProgress(value=0, de…"
      ]
     },
     "metadata": {
      "engine": 1
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%px\n",
    "button = W.Button(description=\"step\")\n",
    "progress = W.IntProgress(max=5, description=\"0 / 5\")\n",
    "count = 0\n",
    "\n",
    "\n",
    "def click_increment(_):\n",
    "    progress.value += 1\n",
    "    progress.description = f\"{progress.value} / {progress.max}\"\n",
    "    if progress.value == progress.max:\n",
    "        button.disabled = True\n",
    "        progress.bar_style = \"success\"\n",
    "\n",
    "\n",
    "button.on_click(click_increment)\n",
    "\n",
    "display(W.HBox([W.Label(f\"Rank {rank}\"), button, progress]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15",
   "metadata": {},
   "source": [
    "This lets you build interactive displays with parallel execution on remote engines.\n",
    "Useful? Maybe!"
   ]
  }
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