{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "title: \"Real Time sound processing with Jupyter\"\n",
    "cover: \"/logos/logo-1024.png\"\n",
    "category: \"Jupyter\"\n",
    "date: 2017-12-03 12:00\n",
    "tags:\n",
    "    - Audio\n",
    "    - Sound\n",
    "    - Jupyter\n",
    "    - Javascript\n",
    "---\n",
    "\n",
    "This notebook demonstrates using WebAudio API and Web Sockets to transfer audio generated with Python/Numpy to Jupyters notebook Web frontend. The notebook can be downloaded from my [Github repository](https://raw.githubusercontent.com/dwjbosman/tensorflow-experiments/master/Sound_Web2Jupyter.ipynb)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "%%bash \n",
    "#Install support for websockets\n",
    "pip install autobahn\n",
    "pip install ipywidgets\n",
    "pip install plotly\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import asyncio\n",
    "from autobahn.asyncio.websocket import WebSocketServerProtocol, WebSocketServerFactory\n",
    "#import websockets\n",
    "import numpy\n",
    "import threading\n",
    "import time\n",
    "import plotly\n",
    "from plotly.graph_objs import Scatter, Layout\n",
    "plotly.offline.init_notebook_mode(connected=True)\n",
    "\n",
    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
    "import ipywidgets as widgets\n",
    "\n",
    "server = None\n",
    "loop_thread = None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating the signal\n",
    "\n",
    "The signal to play back is generated by the Python backend through the use of Numpy. It's a simple signal consisting of 5 sine waves. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>interactive</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in Jupyter Notebook or JupyterLab, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another notebook frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "interactive(children=(FloatSlider(value=200.0, description='frequency', max=20000.0, min=20.0, step=1.0), Output()), _dom_classes=('widget-interact',))"
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      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>interactive</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in Jupyter Notebook or JupyterLab, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another notebook frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "interactive(children=(FloatSlider(value=250.0, description='frequency', max=20000.0, min=20.0, step=1.0), Output()), _dom_classes=('widget-interact',))"
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      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>interactive</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in Jupyter Notebook or JupyterLab, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another notebook frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "interactive(children=(FloatSlider(value=300.0, description='frequency', max=20000.0, min=20.0, step=1.0), Output()), _dom_classes=('widget-interact',))"
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      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>interactive</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in Jupyter Notebook or JupyterLab, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another notebook frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "interactive(children=(FloatSlider(value=350.0, description='frequency', max=20000.0, min=20.0, step=1.0), Output()), _dom_classes=('widget-interact',))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
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       "model_id": "cd780771b8ad435aad78e028ef0f0dd8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/html": [
       "<p>Failed to display Jupyter Widget of type <code>interactive</code>.</p>\n",
       "<p>\n",
       "  If you're reading this message in Jupyter Notebook or JupyterLab, it may mean\n",
       "  that the widgets JavaScript is still loading. If this message persists, it\n",
       "  likely means that the widgets JavaScript library is either not installed or\n",
       "  not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
       "  Widgets Documentation</a> for setup instructions.\n",
       "</p>\n",
       "<p>\n",
       "  If you're reading this message in another notebook frontend (for example, a static\n",
       "  rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
       "  it may mean that your frontend doesn't currently support widgets.\n",
       "</p>\n"
      ],
      "text/plain": [
       "interactive(children=(FloatSlider(value=400.0, description='frequency', max=20000.0, min=20.0, step=1.0), Output()), _dom_classes=('widget-interact',))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "buffer_size = 4096\n",
    "sample_rate = 44100.0\n",
    "\n",
    "#note float32 is essential, the same format is used by javascript\n",
    "#could be that when endianness is not equal between client and server\n",
    "#additional processing is needed\n",
    "buffer = numpy.zeros(buffer_size,dtype=numpy.float32)\n",
    "\n",
    "#create an array of 5 frequencies\n",
    "component_count = 5\n",
    "sine_frequencies = numpy.linspace(start = 200, stop = 400, num = component_count)\n",
    "#reshape from (5,) to (1,5)\n",
    "sine_frequencies = numpy.reshape( sine_frequencies, (1, component_count))\n",
    "\n",
    "#create a (1,5) array with the phase change per sample\n",
    "sine_frequencies_angle_per_s = ( sine_frequencies * 2.0 * numpy.pi ) \n",
    "\n",
    "#store the start phases for each buffer fill\n",
    "#by using a start phase you won't get glitches in the signal\n",
    "#when chaning the frequency\n",
    "sine_start_phases = numpy.zeros(sine_frequencies.shape)\n",
    "\n",
    "#create buffers for each sine component -> (buffer_size,components)\n",
    "sine_components = numpy.zeros(\n",
    "    (buffer_size,sine_frequencies.shape[0]),\n",
    "    dtype=numpy.float32)\n",
    "\n",
    "#calculate the time of each sample in seconds (buffer_size,1)\n",
    "sample_times = numpy.reshape(numpy.linspace(start = 0,stop = buffer_size / sample_rate, num = buffer_size),(buffer_size,1))\n",
    "\n",
    "def setSineFrequency(component, frequency):\n",
    "    \"\"\"This function is called when a slider is moved\"\"\"\n",
    "    global sine_frequencies, sine_frequencies_angle_per_s\n",
    "    sine_frequencies[0,component] = frequency \n",
    "    sine_frequencies_angle_per_s = ( sine_frequencies * 2.0 * numpy.pi )\n",
    "\n",
    "# Create a bunch of sliders for each frequency component\n",
    "for component in range(sine_frequencies.shape[1]):\n",
    "    interact(setSineFrequency, \n",
    "             component = fixed(component),\n",
    "             frequency = widgets.FloatSlider(\n",
    "                 min=20,max=20000,\n",
    "                 step=1,\n",
    "                 value=sine_frequencies[0,component]))\n",
    "\n",
    "def fillBuffer():\n",
    "    \"\"\"Fill a single buffer with the sum of the sine components\"\"\"\n",
    "    global sine_start_phases, sine_components    \n",
    "    sine_phases = sine_start_phases + sample_times * sine_frequencies_angle_per_s\n",
    "    sine_components = numpy.sin(sine_phases) * 1 / component_count\n",
    "    numpy.sum(sine_components, axis = 1, out = buffer)\n",
    "    \n",
    "    sine_start_phases += (buffer_size + 1) * sine_frequencies_angle_per_s / sample_rate\n",
    "    \n",
    "# To test\n",
    "#setSineFrequency(0,220)\n",
    "glued = numpy.zeros(2*4096)\n",
    "fillBuffer()\n",
    "glued[0:4096] = buffer[0:4096]\n",
    "#setSineFrequency(0,440)\n",
    "fillBuffer()\n",
    "glued[4096:8192] = buffer[0:4096]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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0.2474445402622223, 0.2488090693950653]}], {\"title\": \"Two buffers\"}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = plotly.offline.iplot({\n",
    "    \"data\": [Scatter(y=glued)],\n",
    "    \"layout\": Layout(title=\"Two buffers\")\n",
    "})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Python backend for websockets\n",
    "\n",
    "Python can support websockets via the autobahn package. Autobahn needs an event loop system. The example uses asyncio. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create a thread to run the asyncio loop\n",
    "#It calls loop_run_forever\n",
    "\n",
    "loop = asyncio.get_event_loop()\n",
    "\n",
    "class WebIOThread(threading.Thread):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.loop = asyncio.get_event_loop()\n",
    "        self.should_quit = False\n",
    "    def quit(self):\n",
    "        self.should_quit = True\n",
    "        if (self.loop.is_running):\n",
    "            self.loop.call_soon_threadsafe(self.loop.stop)\n",
    "    \n",
    "    def run(self):\n",
    "        self.running = True\n",
    "        print(\"thread start\")    \n",
    "        while (not self.should_quit):\n",
    "        #logging.debug('running')\n",
    "            print(\"start loop\")\n",
    "            self.loop.run_forever()\n",
    "            print(\"loop exited\")\n",
    "            if (not self.should_quit):\n",
    "                time.sleep(1)\n",
    "        print(\"thread exit\")    \n",
    "        self.running = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Define a simple websocket protocol that handles requests\n",
    "#for a sample buffers\n",
    "class SignalGeneratorProtocol(WebSocketServerProtocol):\n",
    "    def onConnect(self, request):\n",
    "        print(\"Client connecting: {}\".format(request.peer))\n",
    "\n",
    "    def onOpen(self):\n",
    "        print(\"WebSocket connection open.\")\n",
    "\n",
    "    def onMessage(self, payload, isBinary):\n",
    "        # if the client sends (any) message then\n",
    "        # assume it wants a new buffer of samples\n",
    "        #print(\".\")\n",
    "        fillBuffer()\n",
    "        self.sendMessage(buffer.tobytes(), True)\n",
    "           \n",
    "    def onClose(self, wasClean, code, reason):\n",
    "        print(\"WebSocket connection closed: {}\".format(reason))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "factory = WebSocketServerFactory()\n",
    "factory.protocol = SignalGeneratorProtocol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "thread start\n",
      "start loop\n"
     ]
    }
   ],
   "source": [
    "#Ever time this cell is executed, cleanup\n",
    "#previous servers\n",
    "\n",
    "if server is not None:\n",
    "    print(\"Close existing server\")\n",
    "    server.close()\n",
    "    server = None\n",
    "\n",
    "if (loop_thread is not None):\n",
    "    print(\"Close existing loop thread\")\n",
    "    loop_thread.quit()\n",
    "    loop_thread.join()\n",
    "    loop_thread = None\n",
    "    \n",
    "loop = asyncio.get_event_loop()\n",
    "coro = loop.create_server(factory, '0.0.0.0', 8889)\n",
    "server = loop.run_until_complete(coro)\n",
    "\n",
    "loop_thread = WebIOThread()\n",
    "loop_thread.start()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Javascript audio client\n",
    "\n",
    "The following javascript initializes WebAudio and defines a ScriptProcessor which is called periodically to fill the audio buffer. If there are less then 10 audio buffers queued then request more by sending a request via the websocket.\n",
    "\n",
    "Execute this cell to start audio output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "if (!window.audioContext) {\n",
       "    window.audioContext = new AudioContext();\n",
       "}\n",
       "\n",
       "// Connect a web socket to a localhost server on port 8889\n",
       "var ws = new WebSocket(\"ws://127.0.0.1:8889\");\n",
       "ws.binaryType = 'arraybuffer';\n",
       "window.ws = ws;\n",
       "\n",
       "// bufferSize should be the same on client and server\n",
       "var bufferSize = 4096;\n",
       "var player = (function() {\n",
       "    var sampleNumber = 0;\n",
       "    var node = window.audioContext.createScriptProcessor(bufferSize, 1, 1);\n",
       "    node.onaudioprocess = function(e) {\n",
       "        var output = e.outputBuffer.getChannelData(0);\n",
       "        \n",
       "        // does the websocket receive any buffers with samples\n",
       "        if (ws.received_buffers.length>=1) {\n",
       "            // playback the first received buffer\n",
       "            output.set(ws.received_buffers.shift());\n",
       "        }\n",
       "        if (ws.received_buffers.length<10) {\n",
       "            // The number of sample buffers in the queue is getting low\n",
       "            // request more buffers\n",
       "            if (ws.readyState==1) {\n",
       "                // Web Socket is connected, send data using send()\n",
       "                ws.send(\"Get block\");\n",
       "                ws.send(\"Get block\");\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "    return node;\n",
       "})();\n",
       "\n",
       "\n",
       "// called when the  websocket opened\n",
       "ws.onopen = function()\n",
       "{\n",
       "  console.log(\"Websocket connected\");\n",
       "  ws.received_buffers = [] ;\n",
       "  ws.received_frames = 0\n",
       "  // request a buffer of samples\n",
       "  ws.send(\"Get block\");\n",
       "  ws.is_connected = false;\n",
       "};\n",
       "\n",
       "ws.onmessage = function (evt) \n",
       "{ \n",
       "  // a new buffer of samples was received\n",
       "  ws.received_buffers.push(new Float32Array(evt.data)); //.set(evt.data);\n",
       "  //ws.last_received_buffer.set(evt.data);\n",
       "  ws.received_frames += 1;\n",
       "  if (!ws.is_connected) {\n",
       "      player.connect(window.audioContext.destination);  \n",
       "      ws.is_connected = true;\n",
       "  }\n",
       "};\n",
       "\n",
       "ws.onclose = function()\n",
       "{ \n",
       "  player.disconnect();\n",
       "  ws.is_connected = false;\n",
       " \n",
       "  // websocket is closed.\n",
       "  console.log(\"Connection is closed...\"); \n",
       "};\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Client connecting: tcp:172.17.0.1:52032\n",
      "WebSocket connection open.\n"
     ]
    }
   ],
   "source": [
    "%%javascript \n",
    "\n",
    "if (!window.audioContext) {\n",
    "    window.audioContext = new AudioContext();\n",
    "}\n",
    "\n",
    "// Connect a web socket to a localhost server on port 8889\n",
    "var ws = new WebSocket(\"ws://127.0.0.1:8889\");\n",
    "ws.binaryType = 'arraybuffer';\n",
    "window.ws = ws;\n",
    "\n",
    "// bufferSize should be the same on client and server\n",
    "var bufferSize = 4096;\n",
    "var player = (function() {\n",
    "    var sampleNumber = 0;\n",
    "    var node = window.audioContext.createScriptProcessor(bufferSize, 1, 1);\n",
    "    node.onaudioprocess = function(e) {\n",
    "        var output = e.outputBuffer.getChannelData(0);\n",
    "        \n",
    "        // does the websocket receive any buffers with samples\n",
    "        if (ws.received_buffers.length>=1) {\n",
    "            // playback the first received buffer\n",
    "            output.set(ws.received_buffers.shift());\n",
    "        }\n",
    "        if (ws.received_buffers.length<10) {\n",
    "            // The number of sample buffers in the queue is getting low\n",
    "            // request more buffers\n",
    "            if (ws.readyState==1) {\n",
    "                // Web Socket is connected, send data using send()\n",
    "                ws.send(\"Get block\");\n",
    "                ws.send(\"Get block\");\n",
    "            }\n",
    "        }\n",
    "    }\n",
    "    return node;\n",
    "})();\n",
    "\n",
    "\n",
    "// called when the  websocket opened\n",
    "ws.onopen = function()\n",
    "{\n",
    "  console.log(\"Websocket connected\");\n",
    "  ws.received_buffers = [] ;\n",
    "  ws.received_frames = 0\n",
    "  // request a buffer of samples\n",
    "  ws.send(\"Get block\");\n",
    "  ws.is_connected = false;\n",
    "};\n",
    "\n",
    "ws.onmessage = function (evt) \n",
    "{ \n",
    "  // a new buffer of samples was received\n",
    "  ws.received_buffers.push(new Float32Array(evt.data)); //.set(evt.data);\n",
    "  //ws.last_received_buffer.set(evt.data);\n",
    "  ws.received_frames += 1;\n",
    "  if (!ws.is_connected) {\n",
    "      player.connect(window.audioContext.destination);  \n",
    "      ws.is_connected = true;\n",
    "  }\n",
    "};\n",
    "\n",
    "ws.onclose = function()\n",
    "{ \n",
    "  player.disconnect();\n",
    "  ws.is_connected = false;\n",
    " \n",
    "  // websocket is closed.\n",
    "  console.log(\"Connection is closed...\"); \n",
    "};\n",
    "            "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stop the sound\n",
    "\n",
    "A very important function is to be able to stop play back :) \n",
    "\n",
    "Execute the next cell to stop the play back"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "console.log(window.ws.received_buffers.length)\n",
       "window.ws.close()"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WebSocket connection closed: None\n"
     ]
    }
   ],
   "source": [
    "%%javascript \n",
    "console.log(window.ws.received_buffers.length)\n",
    "window.ws.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "The notebook shows that is possible to synthesize audio from within Python and add interactivity using IPyWidgets. Next step is to record audio using the Web Audio API, send it to the backend, process it and then send it back to the front end for playback."
   ]
  }
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