@@ -1,52 +1,52 | |||
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1 | 1 | import os |
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2 | 2 | import json |
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3 | 3 | |
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4 | 4 | from datetime import datetime |
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5 | 5 | |
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6 | 6 | from pymongo import MongoClient |
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7 | 7 | |
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8 | 8 | from channels.handler import AsgiHandler |
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9 | 9 | from channels.auth import channel_session_user |
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10 | 10 | from channels import Group |
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11 | 11 | |
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12 | 12 | host = os.environ.get('HOST_MONGO', 'localhost') |
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13 | 13 | CLIENT = MongoClient('{}:27017'.format(host)) |
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14 | 14 | DB = CLIENT['dbplots'] |
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15 | 15 | |
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16 | 16 | # Connected to websocket.connect |
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17 | 17 | def ws_connect(message, code, plot): |
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18 | 18 | message.reply_channel.send({'accept': True}) |
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19 | 19 | pk = message.content['query_string'].split('=')[1] |
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20 | 20 | Group('{}_{}'.format(pk, plot)).add(message.reply_channel) |
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21 |
print('New connection from: {}, |
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21 | print('New connection from: {}, Group: {}_{}'.format(message.content['client'][0], pk, plot)) | |
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22 | 22 | |
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23 | 23 | def ws_message(message, code, plot): |
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24 | 24 | # Accept the incoming connection |
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25 | 25 | print 'incoming message' |
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26 | 26 | dt = datetime.strptime(str(json.loads(message.content['text'])['date']), '%d/%m/%Y') |
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27 | 27 | exp = DB.exp_meta.find_one({'code': int(code), 'date': dt}) |
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28 | print exp | |
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29 | if exp: | |
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28 | ||
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29 | if exp and plot in exp['plots']: | |
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30 | 30 | if plot == 'spc': |
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31 | 31 | datas = DB.exp_data.find({'expmeta': exp['_id']}, ['time', 'data']).sort('time', -1).limit(1)[0] |
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32 | 32 | exp['time'] = [datas['time']] |
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33 | 33 | exp['spc'] = datas['data']['spc'] |
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34 | 34 | exp['rti'] = datas['data']['rti'] |
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35 | 35 | exp['noise'] = datas['data']['noise'] |
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36 | 36 | else: |
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37 | 37 | datas = DB.exp_data.find({'expmeta': exp['_id']}, ['time', 'data']).sort('time', 1) |
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38 | 38 | print 'Counting...' |
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39 | 39 | print datas.count() |
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40 | 40 | dum = [(d['time'], d['data'][plot]) for d in datas] |
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41 | 41 | exp['time'] = [d[0] for d in dum] |
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42 | 42 | dum = [d[1] for d in dum] |
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43 | 43 | exp[plot] = map(list, zip(*dum)) |
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44 | 44 | exp.pop('date', None) |
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45 | 45 | exp.pop('_id', None) |
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46 | 46 | message.reply_channel.send({'text': json.dumps(exp)}) |
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47 | 47 | else: |
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48 | 48 | message.reply_channel.send({'text': json.dumps({'interval': 0})}) |
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49 | 49 | |
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50 | 50 | # Connected to websocket.disconnect |
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51 | 51 | def ws_disconnect(message, code, plot): |
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52 | 52 | Group('{}_{}'.format(code, plot)).discard(message.reply_channel) |
@@ -1,454 +1,455 | |||
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1 | 1 | |
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2 | 2 | |
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3 | 3 | class PcolorBuffer{ |
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4 | 4 | constructor({div, data, key, props}){ |
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5 | 5 | this.div = document.getElementById(div); |
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6 | 6 | this.n = 0 |
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7 | 7 | this.divs = []; |
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8 | 8 | this.wait = false; |
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9 | 9 | this.key = key; |
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10 | 10 | this.timer = (props.throttle || 30)*1000; |
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11 | 11 | this.lastRan = Date.now(); |
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12 | 12 | this.lastFunc = null; |
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13 | 13 | this.zbuffer = []; |
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14 | 14 | this.xbuffer = []; |
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15 | 15 | this.empty = Array(data.yrange.length).fill(null); |
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16 | 16 | this.props = props; |
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17 | 17 | this.setup(data); |
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18 | 18 | } |
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19 | 19 | |
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20 | 20 | setup(data){ |
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21 | 21 | this.last = data.time.slice(-1); |
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22 | 22 | if (data.time.length == 1){ |
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23 | 23 | var values = { 'time': data.time, 'data': data[this.key].map(function(x) {return [x]})}; |
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24 | 24 | }else{ |
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25 | 25 | var values = this.fill_gaps(data.time, data[this.key], data.interval, data[this.key].length); |
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26 | 26 | } |
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27 | 27 | |
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28 | 28 | var t = values.time.map(function(x) { return new Date(x*1000); }); |
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29 | 29 | |
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30 | 30 | for (var i = 0; i < data[this.key].length; i++){ |
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31 | 31 | var layout = { |
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32 | 32 | xaxis: { |
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33 | 33 | title: 'Time', |
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34 | 34 | showgrid: false, |
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35 | 35 | }, |
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36 | 36 | yaxis: { |
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37 | 37 | title: 'km', |
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38 | 38 | showgrid: false, |
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39 | 39 | }, |
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40 | 40 | titlefont: { |
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41 | 41 | size: 14, |
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42 | 42 | } |
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43 | 43 | }; |
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44 | 44 | var iDiv = document.createElement('div'); |
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45 | 45 | iDiv.id = 'plot-' + i; |
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46 | 46 | this.zbuffer.push([]); |
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47 | 47 | this.n = this.n + 1; |
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48 | 48 | this.div.appendChild(iDiv); |
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49 | 49 | this.divs.push(iDiv.id); |
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50 | 50 | var trace = { |
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51 | 51 | z: values.data[i], |
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52 | 52 | x: t, |
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53 | 53 | y: data.yrange, |
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54 | 54 | colorscale: this.props.colormap || 'Viridis', |
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55 | 55 | transpose: true, |
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56 | 56 | type: 'heatmap' |
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57 | 57 | }; |
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58 | 58 | |
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59 | 59 | if (this.props.zmin) {trace.zmin = this.props.zmin} |
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60 | 60 | if (this.props.zmax) {trace.zmax = this.props.zmax} |
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61 | 61 | |
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62 | 62 | layout.title = 'Channel ' + i + ' - ' + t.slice(-1).toLocaleString(); |
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63 | 63 | var conf = { |
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64 | 64 | modeBarButtonsToRemove: ['sendDataToCloud', 'autoScale2d', 'hoverClosestCartesian', 'hoverCompareCartesian', 'lasso2d', 'select2d', 'zoomIn2d', 'zoomOut2d', 'toggleSpikelines'], |
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65 | 65 | displaylogo: false, |
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66 | 66 | showTips: true |
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67 | 67 | }; |
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68 | 68 | Plotly.newPlot('plot-'+i, [trace], layout, conf); |
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69 | 69 | } |
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70 | 70 | } |
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71 | 71 | |
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72 | 72 | getSize(){ |
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73 | 73 | var div = document.getElementById(this.divs[0]); |
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74 | 74 | var t = this.xbuffer.slice(-1)[0]; |
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75 | 75 | var n = 0; |
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76 | 76 | var timespan = (this.props.timespan || 8)*1000*60*60; |
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77 | 77 | |
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78 | 78 | while ((t-div.data[0].x[n]) > timespan){ |
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79 | 79 | n += 1; |
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80 | 80 | } |
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81 | 81 | return n; |
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82 | 82 | } |
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83 | 83 | |
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84 | 84 | fill_gaps(xBuffer, zBuffer, interval, N){ |
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85 | 85 | |
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86 | 86 | var x = [xBuffer[0]]; |
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87 | 87 | var z = []; |
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88 | 88 | var last; |
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89 | 89 | |
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90 | 90 | for (var j = 0; j < N; j++){ |
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91 | 91 | z.push([zBuffer[j][0]]); |
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92 | 92 | } |
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93 | 93 | |
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94 | 94 | for (var i = 1; i < xBuffer.length; i++){ |
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95 | 95 | var cnt = 0; |
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96 | 96 | last = x.slice(-1)[0]; |
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97 | 97 | while (Math.abs(parseFloat(xBuffer[i])-last-parseFloat(interval))>0.5){ |
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98 | 98 | cnt += 1; |
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99 | 99 | last = last+interval; |
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100 | 100 | x.push(last); |
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101 | 101 | for (var j = 0; j < N; j++){ |
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102 | 102 | z[j].push(this.empty); |
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103 | 103 | } |
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104 | 104 | // Avoid infinite loop |
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105 | 105 | if (cnt==100){break;} |
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106 | 106 | } |
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107 | 107 | x.push(xBuffer[i]); |
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108 | 108 | for (var j = 0; j < N; j++){ |
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109 | 109 | z[j].push(zBuffer[j][i]); |
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110 | 110 | } |
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111 | 111 | } |
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112 | 112 | |
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113 | 113 | return {'time':x, 'data':z}; |
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114 | 114 | } |
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115 | 115 | |
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116 | 116 | plot(){ |
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117 | 117 | // add new data to plots and empty buffers |
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118 | 118 | var N = this.getSize(); |
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119 | 119 | console.log('Plotting...'); |
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120 | 120 | for (var i = 0; i < this.n; i++){ |
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121 | 121 | var div = document.getElementById(this.divs[i]); |
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122 | 122 | if (N > 0){ |
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123 | 123 | div.data[0].z = div.data[0].z.slice(N,) |
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124 | 124 | div.data[0].x = div.data[0].x.slice(N,) |
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125 | 125 | } |
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126 | 126 | Plotly.extendTraces(div, { |
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127 | 127 | z: [this.zbuffer[i]], |
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128 | 128 | x: [this.xbuffer] |
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129 | 129 | }, [0]); |
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130 | 130 | this.zbuffer[i] = []; |
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131 | 131 | } |
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132 | 132 | this.xbuffer = []; |
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133 | 133 | } |
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134 | 134 | |
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135 | 135 | update(obj){ |
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136 | 136 | |
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137 | 137 | // fill data gaps |
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138 | 138 | var cnt = 0; |
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139 | 139 | while (Math.abs(parseFloat(obj.time[0])-this.last-parseFloat(obj.interval))>0.5){ |
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140 | 140 | cnt += 1; |
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141 | 141 | this.last += obj.interval; |
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142 | 142 | var newt = new Date((this.last)*1000); |
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143 | 143 | this.xbuffer.push(newt); |
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144 | 144 | for (var i = 0; i < obj[this.key].length; i++){ |
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145 | 145 | this.zbuffer[i].push(this.empty); |
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146 | 146 | } |
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147 | 147 | // Avoid infinite loop |
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148 | 148 | if (cnt==100){break;} |
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149 | 149 | } |
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150 | 150 | |
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151 | 151 | // update buffers |
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152 | 152 | this.last = parseFloat(obj.time[0]); |
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153 | 153 | var t = new Date(obj.time[0]*1000); |
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154 | 154 | this.xbuffer.push(t); |
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155 | 155 | for (var i = 0; i < obj[this.key].length; i++){ |
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156 | 156 | this.zbuffer[i].push(obj[this.key][i]); |
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157 | 157 | // update title |
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158 | var title = this.props.title || '' | |
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158 | 159 |
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159 | 160 | Plotly.relayout(div, { |
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160 | title: 'Channel ' + i + ' - ' + t.toLocaleString(), | |
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161 | title: title + ': Channel ' + i + ' - ' + t.toLocaleString(), | |
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161 | 162 | }); |
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162 | 163 | } |
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163 | 164 | |
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164 | 165 | // plot when ready (every 10 secs) |
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165 | 166 | if (!this.wait){ |
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166 | 167 | this.plot(); |
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167 | 168 | this.wait = true; |
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168 | 169 | } else { |
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169 | 170 | clearTimeout(this.lastFunc) |
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170 | 171 | this.lastFunc = setTimeout(function(scope) { |
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171 | 172 | if ((Date.now() - scope.lastRan) >= scope.timer) { |
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172 | 173 | scope.plot() |
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173 | 174 | scope.lastRan = Date.now() |
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174 | 175 | } |
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175 | 176 | }, this.timer - (Date.now() - this.lastRan), this) |
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176 | 177 | } |
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177 | 178 | } |
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178 | 179 | } |
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179 | 180 | |
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180 | 181 | class Pcolor{ |
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181 | 182 | constructor({div, data, props}){ |
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182 | 183 | this.div = document.getElementById(div); |
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183 | 184 | this.n = 0 |
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184 | 185 | this.divs = []; |
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185 | 186 | this.props = props; |
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186 | 187 | this.setup(data); |
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187 | 188 | } |
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188 | 189 | |
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189 | 190 | setup(data){ |
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190 | 191 | console.log(data); |
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191 | 192 | for (var i = 0; i < data.spc.length; i++){ |
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192 | 193 | var layout = { |
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193 | 194 | height: 400, |
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194 | 195 | xaxis: { |
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195 | 196 | title: 'Velocity', |
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196 | 197 | showgrid: false, |
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197 | 198 | zeroline: false, |
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198 | 199 | domain: [0, 0.7], |
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199 | 200 | }, |
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200 | 201 | yaxis: { |
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201 | 202 | title: 'km', |
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202 | 203 | showgrid: false, |
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203 | 204 | }, |
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204 | 205 | xaxis2: { |
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205 | 206 | title: 'dB', |
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206 | 207 | domain: [0.75, 1], |
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207 | 208 | ticks: 'outside', |
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208 | 209 | }, |
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209 | 210 | titlefont: { |
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210 | 211 | size: 14, |
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211 | 212 | } |
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212 | 213 | }; |
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213 | 214 | var iDiv = document.createElement('div'); |
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214 | 215 | iDiv.id = 'plot-' + i; |
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215 | 216 | iDiv.className += iDiv.className ? ' col-md-6' : 'col-md-6'; |
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216 | 217 | this.n = this.n + 1; |
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217 | 218 | this.div.appendChild(iDiv); |
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218 | 219 | this.divs.push(iDiv.id); |
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219 | 220 | |
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220 | 221 | var trace1 = { |
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221 | 222 | z: data.spc[i], |
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222 | 223 | x: data.xrange, |
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223 | 224 | y: data.yrange, |
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224 | 225 | colorscale: this.props.colormap || 'Viridis', |
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225 | 226 | transpose: true, |
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226 | 227 | type: 'heatmap' |
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227 | 228 | }; |
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228 | 229 | |
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229 | 230 | var trace2 = { |
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230 | 231 | x: data.rti[i], |
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231 | 232 | y: data.yrange, |
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232 | 233 | xaxis: 'x2', |
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233 | 234 | yaxis: 'y', |
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234 | 235 | type: 'scatter', |
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235 | 236 | }; |
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236 | 237 | |
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237 | 238 | if (this.props.zmin) { |
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238 | 239 | trace1.zmin = this.props.zmin |
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239 | 240 | } |
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240 | 241 | if (this.props.zmax) { |
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241 | 242 | trace1.zmax = this.props.zmax; |
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242 | 243 | layout.xaxis2.range = [this.props.zmin, this.props.zmax] |
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243 | 244 | } |
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244 | 245 | |
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245 | 246 | var t = new Date(data.time*1000); |
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246 | 247 | layout.title = 'Channel ' + i + ': ' + data.noise[i]+'dB - ' + t.toLocaleString(); |
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247 | 248 | var conf = { |
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248 | 249 | modeBarButtonsToRemove: ['sendDataToCloud', 'autoScale2d', 'hoverClosestCartesian', 'hoverCompareCartesian', 'lasso2d', 'select2d', 'zoomIn2d', 'zoomOut2d', 'toggleSpikelines'], |
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249 | 250 | displaylogo: false, |
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250 | 251 | showTips: true |
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251 | 252 | }; |
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252 | 253 | Plotly.newPlot('plot-'+i, [trace1, trace2], layout, conf); |
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253 | 254 | } |
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254 | 255 | } |
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255 | 256 | |
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256 | 257 | plot(obj){ |
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257 | 258 | |
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258 | 259 | // add new data to plots and empty buffers |
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259 | 260 | console.log('Plotting...'); |
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260 | 261 | var t = new Date(obj.time[0]*1000); |
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261 | 262 | for (var i = 0; i < this.n; i++){ |
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262 | 263 | var div = document.getElementById(this.divs[i]); |
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263 | 264 | Plotly.relayout(div, { |
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264 | 265 | title: 'Channel ' + i + ': ' + obj.noise[i]+'dB - ' + t.toLocaleString(), |
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265 | 266 | }); |
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266 | 267 | Plotly.restyle(div, { |
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267 | 268 | z: [obj.spc[i], null], |
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268 | 269 | x: [obj.xrange, obj.rti[i]] |
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269 | 270 | }, [0, 1]); |
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270 | 271 | } |
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271 | 272 | } |
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272 | 273 | } |
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273 | 274 | |
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274 | 275 | class Scatter{ |
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275 | 276 | constructor({div, data, key, props}){ |
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276 | 277 | this.div = document.getElementById(div); |
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277 | 278 | this.n = 0 |
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278 | 279 | this.key = key; |
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279 | 280 | this.wait = false; |
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280 | 281 | this.timer = (props.throttle || 30)*1000; |
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281 | 282 | this.lastRan = Date.now(); |
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282 | 283 | this.lastFunc = null; |
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283 | 284 | this.ybuffer = []; |
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284 | 285 | this.xbuffer = []; |
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285 | 286 | this.props = props; |
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286 | 287 | this.setup(data); |
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287 | 288 | } |
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288 | 289 | |
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289 | 290 | setup(data){ |
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290 | 291 | |
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291 | 292 | var traces = []; |
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292 | 293 | this.last = data.time.slice(-1); |
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293 | 294 | if (data.time.length == 1){ |
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294 | 295 | var values = { 'time': data.time, 'data': data[this.key] }; |
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295 | 296 | }else{ |
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296 | 297 | var values = this.fill_gaps(data.time, data[this.key], data.interval, data[this.key].length); |
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297 | 298 | } |
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298 | 299 | |
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299 | 300 | var t = values.time.map(function(x) { return new Date(x*1000); }); |
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300 | 301 | |
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301 | 302 | for (var i = 0; i < data[this.key].length; i++){ |
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302 | 303 | |
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303 | 304 | this.n = this.n + 1; |
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304 | 305 | this.ybuffer.push([]); |
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305 | 306 | var trace = { |
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306 | 307 | x: t, |
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307 | 308 | y: data[this.key][i], |
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308 | 309 | mode: 'lines', |
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309 | 310 | type: 'scatter', |
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310 | 311 | name: 'Channel ' + i |
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311 | 312 | }; |
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312 | 313 | |
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313 | 314 | traces.push(trace); |
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314 | 315 | } |
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315 | 316 | var title = this.props.title || '' |
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316 | 317 | var layout = { |
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317 | 318 | // autosize: false, |
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318 | 319 | // width: 800, |
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319 | 320 | // height: 400, |
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320 | 321 | title: title + ' - ' + t.slice(-1).toLocaleString(), |
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321 | 322 | xaxis: { |
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322 | 323 | title: 'Time', |
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323 | 324 | linecolor: 'black', |
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324 | 325 | }, |
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325 | 326 | yaxis: { |
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326 | 327 | title: this.props.ylabel || 'dB', |
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327 | 328 | linecolor: 'black', |
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328 | 329 | }, |
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329 | 330 | titlefont: { |
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330 | 331 | size: 14, |
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331 | 332 | } |
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332 | 333 | }; |
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333 | 334 | |
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334 | 335 | if (this.props.ymin) {layout.yaxis.range = [this.props.ymin, this.props.ymax] } |
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335 | 336 | |
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336 | 337 | var conf = { |
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337 | 338 | modeBarButtonsToRemove: ['sendDataToCloud', 'autoScale2d', 'hoverClosestCartesian', 'hoverCompareCartesian', 'lasso2d', 'select2d', 'zoomIn2d', 'zoomOut2d', 'toggleSpikelines'], |
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338 | 339 | displaylogo: false, |
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339 | 340 | showTips: true |
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340 | 341 | }; |
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341 | 342 | Plotly.newPlot('plot', traces, layout, conf); |
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342 | 343 | } |
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343 | 344 | |
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344 | 345 | getSize(){ |
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345 | 346 | var t = this.xbuffer.slice(-1)[0]; |
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346 | 347 | var n = 0; |
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347 | 348 | var timespan = (this.props.timespan || 12)*1000*60*60; |
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348 | 349 | |
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349 | 350 | while ((t-this.div.data[0].x[n]) > timespan){ |
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350 | 351 | n += 1; |
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351 | 352 | } |
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352 | 353 | return n; |
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353 | 354 | } |
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354 | 355 | |
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355 | 356 | fill_gaps(xBuffer, yBuffer, interval, N){ |
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356 | 357 | |
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357 | 358 | var x = [xBuffer[0]]; |
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358 | 359 | var y = []; |
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359 | 360 | |
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360 | 361 | for (var j = 0; j < N; j++){ |
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361 | 362 | y.push([yBuffer[j][0]]); |
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362 | 363 | } |
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363 | 364 | |
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364 | 365 | var last; |
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365 | 366 | |
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366 | 367 | for (var i = 1; i < xBuffer.length; i++){ |
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367 | 368 | var cnt = 0; |
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368 | 369 | last = x.slice(-1)[0]; |
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369 | 370 | while (Math.abs(parseFloat(xBuffer[i])-last-parseFloat(interval))>0.5){ |
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370 | 371 | cnt += 1; |
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371 | 372 | last = last+interval; |
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372 | 373 | x.push(last); |
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373 | 374 | for (var j = 0; j < N; j++){ |
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374 | 375 | y[j].push(null); |
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375 | 376 | } |
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376 | 377 | // Avoid infinite loop |
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377 | 378 | if (cnt==100){break;} |
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378 | 379 | } |
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379 | 380 | x.push(xBuffer[i]); |
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380 | 381 | |
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381 | 382 | for (var j = 0; j < N; j++){ |
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382 | 383 | y[j].push(yBuffer[j][i]); |
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383 | 384 | } |
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384 | 385 | } |
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385 | 386 | return {'time':x, 'data':y}; |
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386 | 387 | } |
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387 | 388 | |
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388 | 389 | plot(){ |
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389 | 390 | // add new data to plots and empty buffers |
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390 | 391 | var xvalues = []; |
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391 | 392 | var yvalues = []; |
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392 | 393 | var traces = []; |
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393 | 394 | var N = this.getSize(); |
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394 | 395 | console.log('Plotting...'); |
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395 | 396 | for (var i = 0; i < this.n; i++){ |
|
396 | 397 | if (N > 0){ |
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397 | 398 | this.div.data[i].y = this.div.data[i].y.slice(N,) |
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398 | 399 | this.div.data[i].x = this.div.data[i].x.slice(N,) |
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399 | 400 | } |
|
400 | 401 | yvalues.push(this.ybuffer[i]); |
|
401 | 402 | xvalues.push(this.xbuffer); |
|
402 | 403 | traces.push(i); |
|
403 | 404 | this.ybuffer[i] = []; |
|
404 | 405 | } |
|
405 | 406 | Plotly.extendTraces(this.div, { |
|
406 | 407 | y: yvalues, |
|
407 | 408 | x: xvalues |
|
408 | 409 | }, traces); |
|
409 | 410 | this.xbuffer = []; |
|
410 | 411 | } |
|
411 | 412 | |
|
412 | 413 | update(obj){ |
|
413 | 414 | |
|
414 | 415 | // fill data gaps |
|
415 | 416 | var cnt = 0; |
|
416 | 417 | while (Math.abs(parseFloat(obj.time[0])-this.last-parseFloat(obj.interval))>0.5){ |
|
417 | 418 | cnt += 1; |
|
418 | 419 | this.last += obj.interval; |
|
419 | 420 | var newt = new Date((this.last)*1000); |
|
420 | 421 | this.xbuffer.push(newt); |
|
421 | 422 | for (var i = 0; i < this.n; i++){ |
|
422 | 423 | this.ybuffer[i].push(null); |
|
423 | 424 | } |
|
424 | 425 | // Avoid infinite loop |
|
425 | 426 | if (cnt==100){break;} |
|
426 | 427 | } |
|
427 | 428 | |
|
428 | 429 | // update buffers |
|
429 | 430 | this.last = parseFloat(obj.time[0]); |
|
430 | 431 | var t = new Date(obj.time[0]*1000); |
|
431 | 432 | this.xbuffer.push(t); |
|
432 | 433 | for (var i = 0; i < this.n; i++){ |
|
433 | 434 | this.ybuffer[i].push(obj[this.key][i][0]); |
|
434 | 435 | } |
|
435 | 436 | var title = this.props.title || '' |
|
436 | 437 | Plotly.relayout(this.div, { |
|
437 | 438 | title: title + ' - ' + t.toLocaleString(), |
|
438 | 439 | }); |
|
439 | 440 | |
|
440 | 441 | // plot when ready (every 10 secs) |
|
441 | 442 | if (!this.wait){ |
|
442 | 443 | this.plot(); |
|
443 | 444 | this.wait = true; |
|
444 | 445 | } else { |
|
445 | 446 | clearTimeout(this.lastFunc) |
|
446 | 447 | this.lastFunc = setTimeout(function(scope) { |
|
447 | 448 | if ((Date.now() - scope.lastRan) >= scope.timer) { |
|
448 | 449 | scope.plot() |
|
449 | 450 | scope.lastRan = Date.now() |
|
450 | 451 | } |
|
451 | 452 | }, this.timer - (Date.now() - this.lastRan), this) |
|
452 | 453 | } |
|
453 | 454 | } |
|
454 | 455 | } |
@@ -1,118 +1,118 | |||
|
1 | 1 | {% load static %} {% load bootstrap3 %} |
|
2 | 2 | <!doctype html> |
|
3 | 3 | <html lang="en"> |
|
4 | 4 | |
|
5 | 5 | <head> |
|
6 | 6 | <meta charset="utf-8"> |
|
7 | 7 | <meta name="viewport" content="width=device-width, user-scalable=no, initial-scale=1.0, maximum-scale=1.0, minimum-scale=1.0"> |
|
8 | 8 | <meta http-equiv="X-UA-Compatible" content="ie=edge"> |
|
9 | 9 | <link href="//maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" rel="stylesheet"> |
|
10 | 10 | <link href="{% static 'css/bootstrap-datetimepicker.min.css' %}" media="screen" rel="stylesheet"> |
|
11 | 11 | <script src="{% static 'js/jquery.min.js' %}"></script> |
|
12 | 12 | <style> |
|
13 | 13 | /* Paste this css to your style sheet file or under head tag */ |
|
14 | 14 | |
|
15 | 15 | /* This only works with JavaScript, |
|
16 | 16 | if it's not present, don't show loader */ |
|
17 | 17 | |
|
18 | 18 | .loader { |
|
19 | 19 | width: 100%; |
|
20 | 20 | height: 10px; |
|
21 | 21 | position: relative; |
|
22 | 22 | z-index: 9999; |
|
23 | 23 | background: url("{% static 'images/loader.gif' %}") center no-repeat #fff; |
|
24 | 24 | } |
|
25 | 25 | |
|
26 | 26 | .no-data { |
|
27 | 27 | text-align: center; |
|
28 | 28 | background-color: #d58512; |
|
29 | 29 | padding: 8px 16px; |
|
30 | 30 | border-radius: 5px; |
|
31 | 31 | color: #FEFEFE; |
|
32 | 32 | font: 20px 'Helvetica'; |
|
33 | 33 | text-transform: uppercase; |
|
34 | 34 | } |
|
35 | 35 | </style> |
|
36 | 36 | <title>Realtime plots at JRO</title> |
|
37 | 37 | </head> |
|
38 | 38 | |
|
39 | 39 | <body> |
|
40 | 40 | <div class="container"> |
|
41 | 41 | <div id="page" class="row" style="min-height:600px"> |
|
42 | 42 | {% bootstrap_messages %} |
|
43 | 43 | <div class="page-header"> |
|
44 | 44 | <h1>{% block content-title %}Realtime{% endblock %} |
|
45 | 45 | <small>{% block content-suptitle %}Plots{% endblock %}</small> |
|
46 | 46 | </h1> |
|
47 | 47 | </div> |
|
48 | 48 | <div class="col-md-3 hidden-xs hidden-sm" role="complementary"> |
|
49 | 49 | <div id="sidebar"> |
|
50 | 50 | {% if form.is_multipart %} |
|
51 | 51 | <form class="form" enctype="multipart/form-data" method="post" action="{{action}}"> |
|
52 | 52 | {% else %} |
|
53 | 53 | <form class="form" method="post" action="{{action}}"> |
|
54 | 54 | {% endif %} {% csrf_token %} {% bootstrap_form form layout='inline' size='medium' %} |
|
55 | 55 | <div style="clear: both;"></div> |
|
56 | 56 | <br> |
|
57 | 57 | <div class="pull-left"> |
|
58 | 58 | <button type="button" id="bt_show" class="btn btn-primary">Show</button> |
|
59 | 59 | </div> |
|
60 | 60 | </form> |
|
61 | 61 | </div> |
|
62 | 62 | </div> |
|
63 | 63 | <div class="col-md-9 col-xs-12" role="main"> |
|
64 | 64 | <div id="loader" class="loader"></div> |
|
65 | 65 | {% block content %} {% endblock %} |
|
66 | 66 | </div> |
|
67 | 67 | </div> |
|
68 | 68 | <!--/row--> |
|
69 | 69 | </div> |
|
70 | 70 | <script src="{% static 'js/plotly-latest.min.js' %}"></script> |
|
71 | 71 | <script src="{% static 'js/moment.min.js' %}"></script> |
|
72 | 72 | <script src="{% static 'js/bootstrap-datetimepicker.min.js' %}"></script> |
|
73 | 73 | <script src="{% static 'js/jroplots.js' %}"></script> |
|
74 | 74 | <script type="text/javascript"> |
|
75 | 75 | $('#id_date').datetimepicker({ |
|
76 | 76 | pickTime: false, |
|
77 | 77 | format: 'DD/MM/YYYY', |
|
78 | 78 | }); |
|
79 | 79 | $("#bt_show").click(function () { |
|
80 | 80 | document.location = '/' + $("#id_experiment").val() + '/' + $("#id_plot").val() + '/?date=' + $("#id_date").val(); |
|
81 | 81 | }); |
|
82 | 82 | |
|
83 | 83 | {% if date %} |
|
84 | 84 | $("#loader").css("display", "block"); |
|
85 | 85 | var socket = new WebSocket('ws://' + window.location.host + '/{{code}}/{{plot}}/?' + 'pk={{id}}'); |
|
86 | 86 | socket.onopen = function open() { |
|
87 | 87 | console.log('WebSockets connection created.'); |
|
88 | 88 | {% if date %} |
|
89 | 89 | socket.send('{"date": "{{date}}" }'); |
|
90 | 90 | {% else %} |
|
91 | 91 | socket.send('{"date": "{% now "d/m/Y" %}" }'); |
|
92 | 92 | {% endif %} |
|
93 | 93 | }; |
|
94 | 94 | |
|
95 | 95 | socket.onmessage = function message(event) { |
|
96 | 96 | var data = JSON.parse(event.data); |
|
97 | console.log(data); | |
|
97 | console.log(data.time); | |
|
98 | 98 | if (data.interval == 0) { |
|
99 | 99 | $("#loader").removeClass("loader").addClass("no-data"); |
|
100 | 100 | $("#loader").html("No data found"); |
|
101 | 101 | } else { |
|
102 | 102 | var first = plot(data); |
|
103 | 103 | if (first == true) { |
|
104 | 104 | $("#loader").css("display", "none"); |
|
105 | 105 | } |
|
106 | 106 | } |
|
107 | 107 | } |
|
108 | 108 | |
|
109 | 109 | if (socket.readyState == WebSocket.OPEN) { |
|
110 | 110 | socket.onopen(); |
|
111 | 111 | } |
|
112 | 112 | {% else %} |
|
113 | 113 | $("#loader").css("display", "none"); |
|
114 | 114 | {% endif %} |
|
115 | 115 | </script> {% block script %}{% endblock script %} |
|
116 | 116 | </body> |
|
117 | 117 | |
|
118 | 118 | </html> No newline at end of file |
@@ -1,22 +1,22 | |||
|
1 | 1 | {% extends 'base.html' %} {% block content %} |
|
2 | 2 | <div id="plot"></div> |
|
3 | 3 | {% endblock content %} {% block script %} |
|
4 | 4 | <script> |
|
5 | 5 | let flag = true; |
|
6 | 6 | function plot(data) { |
|
7 | 7 | if (flag === true) { |
|
8 | 8 | flag = false; |
|
9 | 9 | rti = new PcolorBuffer({ |
|
10 | 10 | div: 'plot', |
|
11 | 11 | data: data, |
|
12 | 12 | key: 'rti', |
|
13 |
props: { title: '{{title}}', zmin: 15, zmax: 3 |
|
|
13 | props: { title: '{{title}}', zmin: 15, zmax: 35, throttle: 10, timespan: 12, colormap: 'Jet' }, | |
|
14 | 14 | }); |
|
15 | 15 | return true; |
|
16 | 16 | } else { |
|
17 | 17 | rti.update(data); |
|
18 | 18 | return false; |
|
19 | 19 | } |
|
20 | 20 | } |
|
21 | 21 | |
|
22 | 22 | </script> {% endblock script %} No newline at end of file |
@@ -1,28 +1,28 | |||
|
1 | 1 | {% extends 'base.html' %} |
|
2 | 2 | |
|
3 | 3 | {% block content %} |
|
4 | 4 | <div id="plot"></div> |
|
5 | 5 | {% endblock content %} |
|
6 | 6 | |
|
7 | 7 | {% block script %} |
|
8 | 8 | <script> |
|
9 | 9 | let flag = true; |
|
10 | 10 | |
|
11 | 11 | function plot(data){ |
|
12 | 12 | // console.log(data['time']); |
|
13 | 13 | if (flag === true){ |
|
14 | 14 | flag = false; |
|
15 | 15 | plt = new Scatter({ |
|
16 | 16 | div: 'plot', |
|
17 | 17 | data: data, |
|
18 | 18 | key: '{{plot}}', |
|
19 |
props: {title: '{{title}}', ylabel:'Noise [dB]', ymin:1 |
|
|
19 | props: {title: '{{title}}', ylabel:'Noise [dB]', ymin:18, ymax:22 }, | |
|
20 | 20 | }); |
|
21 | 21 | return true; |
|
22 | 22 | } else { |
|
23 | 23 | plt.update(data); |
|
24 | 24 | return false; |
|
25 | 25 | } |
|
26 | 26 | } |
|
27 | 27 | </script> |
|
28 | 28 | {% endblock script %} No newline at end of file |
@@ -1,84 +1,84 | |||
|
1 | 1 | # -*- coding: utf-8 -*- |
|
2 | 2 | from __future__ import unicode_literals |
|
3 | 3 | |
|
4 | 4 | import os |
|
5 | 5 | from datetime import datetime |
|
6 | 6 | |
|
7 | 7 | from django import forms |
|
8 | 8 | from django.contrib import messages |
|
9 | 9 | from django.utils.safestring import mark_safe |
|
10 | 10 | from django.shortcuts import render |
|
11 | 11 | |
|
12 | 12 | from bootstrap3_datetime.widgets import DateTimePicker |
|
13 | 13 | |
|
14 | 14 | import mongoengine |
|
15 | 15 | |
|
16 | 16 | from plotter.models import Experiment, ExpMeta |
|
17 | 17 | |
|
18 | 18 | host = os.environ.get('HOST_MONGO', 'localhost') |
|
19 | 19 | mongoengine.connect('dbplots', host=host, port=27017) |
|
20 | 20 | |
|
21 | 21 | # Forms |
|
22 | 22 | class SearchForm(forms.Form): |
|
23 | 23 | |
|
24 | 24 | experiment = forms.ChoiceField() |
|
25 | 25 | plot = forms.ChoiceField( |
|
26 | 26 | choices = [(0, 'Select Plot'), ('rti', 'RTI'),('spc', 'Spectra'),('noise', 'Noise')] |
|
27 | 27 | ) |
|
28 | 28 | date = forms.DateField( |
|
29 | 29 | widget=DateTimePicker(options={"format": "DD/MM/YYYY"}) |
|
30 | 30 | ) |
|
31 | 31 | |
|
32 | 32 | def __init__(self, *args, **kwargs): |
|
33 | 33 | |
|
34 | 34 | exp_choices = kwargs.pop('exp_choices', []) |
|
35 | 35 | super(SearchForm, self).__init__(*args, **kwargs) |
|
36 | 36 | self.fields['experiment'].choices = [(0, 'Select Experiment')] + exp_choices |
|
37 | 37 | |
|
38 | 38 | # Create your views here. |
|
39 | 39 | def main(request, code=None, plot=None): |
|
40 | 40 | |
|
41 | 41 | initial = {} |
|
42 | 42 | date = request.GET.get('date', datetime.now().strftime('%d/%m/%Y')) |
|
43 | 43 | initial['date'] = date |
|
44 | 44 | |
|
45 | 45 | if code is not None: |
|
46 | 46 | initial['experiment'] = code |
|
47 | 47 | if plot is not None: |
|
48 | 48 | initial['plot'] = plot |
|
49 | 49 | |
|
50 | 50 | exps = [(q['code'], q['name']) for q in Experiment.objects.all()] |
|
51 | 51 | |
|
52 | 52 | form = SearchForm( |
|
53 | 53 | initial = initial, |
|
54 | 54 | exp_choices = [(e[0], e[1]) for e in exps] |
|
55 | 55 | ) |
|
56 | 56 | |
|
57 | 57 | try: |
|
58 | 58 | exp = ExpMeta.objects.get(code=int(code), date=datetime.strptime(date, '%d/%m/%Y')) |
|
59 | 59 | exp_id = exp.id |
|
60 | 60 | except: |
|
61 | 61 | exp_id = 0 |
|
62 | 62 | |
|
63 | 63 | |
|
64 | 64 | kwargs = { |
|
65 | 65 | 'code': code, |
|
66 | 66 | 'plot': plot, |
|
67 | 67 | 'date': date, |
|
68 | 68 | 'form': form, |
|
69 | 69 | 'id': exp_id |
|
70 | 70 | } |
|
71 | 71 | |
|
72 | 72 | if code and exps: |
|
73 | kwargs['title'] = [t[1] for t in exps if t[0]==int(code)][0] | |
|
73 | kwargs['title'] = [t[1] for t in exps if int(t[0])==int(code)][0] | |
|
74 | 74 | else: |
|
75 | 75 | kwargs['title'] = 'JRO' |
|
76 | 76 | |
|
77 | 77 | if plot == 'rti': |
|
78 | 78 | return render(request, 'rti.html', kwargs) |
|
79 | 79 | elif plot == 'spc': |
|
80 | 80 | return render(request, 'spectra.html', kwargs) |
|
81 | 81 | elif plot == 'noise': |
|
82 | 82 | return render(request, 'scatter.html', kwargs) |
|
83 | 83 | else: |
|
84 | 84 | return render(request, 'base.html', kwargs) No newline at end of file |
@@ -1,110 +1,110 | |||
|
1 | 1 | [ |
|
2 | 2 | { |
|
3 | 3 | "code" : 100, |
|
4 | 4 | "name" : "HF JRO" |
|
5 | 5 | }, |
|
6 | 6 | { |
|
7 | 7 | "code" : 101, |
|
8 | 8 | "name" : "HF Huancayo" |
|
9 | 9 | }, |
|
10 | 10 | { |
|
11 | 11 | "code" : 102, |
|
12 | 12 | "name" : "HF Ica" |
|
13 | 13 | }, |
|
14 | 14 | { |
|
15 | 15 | "code" : 110, |
|
16 | 16 | "name" : "ISR EW Drifts" |
|
17 | 17 | }, |
|
18 | 18 | { |
|
19 | 19 | "code" : 111, |
|
20 | 20 | "name" : "ISR Faraday" |
|
21 | 21 | }, |
|
22 | 22 | { |
|
23 | 23 | "code" : 112, |
|
24 | 24 | "name" : "ISR Imaging" |
|
25 | 25 | }, |
|
26 | 26 | { |
|
27 | 27 | "code" : 120, |
|
28 | 28 | "name" : "Faraday" |
|
29 | 29 | }, |
|
30 | 30 | { |
|
31 | 31 | "code" : 121, |
|
32 | 32 | "name" : "Faraday Long Pulse" |
|
33 | 33 | }, |
|
34 | 34 | { |
|
35 | 35 | "code" : 122, |
|
36 | 36 | "name" : "Faraday Codded LP" |
|
37 | 37 | }, |
|
38 | 38 | { |
|
39 | 39 | "code" : 123, |
|
40 | 40 | "name" : "Faraday Double Pulse" |
|
41 | 41 | }, |
|
42 | 42 | { |
|
43 | 43 | "code" : 124, |
|
44 | 44 | "name" : "Faraday AC" |
|
45 | 45 | }, |
|
46 | 46 | { |
|
47 | 47 | "code" : 125, |
|
48 | 48 | "name" : "Faraday Differential Phase" |
|
49 | 49 | }, |
|
50 | 50 | { |
|
51 | 51 | "code" : 150, |
|
52 | 52 | "name" : "JASMET 50" |
|
53 | 53 | }, |
|
54 | 54 | { |
|
55 | 55 | "code" : 151, |
|
56 | 56 | "name" : "JASMET 30" |
|
57 | 57 | }, |
|
58 | 58 | { |
|
59 | 59 | "code" : 170, |
|
60 | 60 | "name" : "BLTR Huancayo" |
|
61 | 61 | }, |
|
62 | 62 | { |
|
63 | 63 | "code" : 171, |
|
64 | 64 | "name" : "CIRI Huancayo" |
|
65 | 65 | }, |
|
66 | 66 | { |
|
67 | 67 | "code" : 172, |
|
68 | 68 | "name" : "CLAIRE Huancayo" |
|
69 | 69 | }, |
|
70 | 70 | { |
|
71 | 71 | "code" : 180, |
|
72 | 72 | "name" : "MST" |
|
73 | 73 | }, |
|
74 | 74 | { |
|
75 | 75 | "code" : 181, |
|
76 | 76 | "name" : "ISR" |
|
77 | 77 | }, |
|
78 | 78 | { |
|
79 | 79 | "code" : 182, |
|
80 | 80 | "name" : "EEJ" |
|
81 | 81 | }, |
|
82 | 82 | { |
|
83 | 83 | "code" : 190, |
|
84 | 84 | "name" : "JULIA 150km (Natalia)" |
|
85 | 85 | }, |
|
86 | 86 | { |
|
87 | 87 | "code" : 191, |
|
88 | 88 | "name" : "JULIA SpreadF (Natalia)" |
|
89 | 89 | }, |
|
90 | 90 | { |
|
91 | 91 | "code" : 200, |
|
92 | 92 | "name" : "JULIA 150km" |
|
93 | 93 | }, |
|
94 | 94 | { |
|
95 | 95 | "code" : 201, |
|
96 | 96 | "name" : "JULIA EEJ" |
|
97 | 97 | }, |
|
98 | 98 | { |
|
99 | 99 | "code" : 202, |
|
100 | 100 | "name" : "JULIA SpreadF" |
|
101 | 101 | }, |
|
102 | 102 | { |
|
103 | 103 | "code" : 203, |
|
104 | 104 | "name" : "JULIA Imaging" |
|
105 | 105 | }, |
|
106 | 106 | { |
|
107 |
"code" : 20 |
|
|
107 | "code" : 204, | |
|
108 | 108 | "name" : "JULIA Bistatic" |
|
109 | 109 | } |
|
110 | 110 | ] No newline at end of file |
@@ -1,84 +1,87 | |||
|
1 | 1 | import os |
|
2 | 2 | import sys |
|
3 | 3 | import json |
|
4 | 4 | import simplejson |
|
5 | 5 | from datetime import datetime |
|
6 | 6 | import zmq |
|
7 | 7 | import redis |
|
8 | 8 | import asgi_redis |
|
9 | 9 | import mongoengine |
|
10 | 10 | |
|
11 | 11 | sys.path.append('/app') |
|
12 | 12 | os.environ.setdefault("DJANGO_SETTINGS_MODULE", "realtime.settings") |
|
13 | 13 | |
|
14 | 14 | from plotter.models import Experiment, ExpMeta, ExpData |
|
15 | 15 | |
|
16 | 16 | host_mongo = os.environ.get('HOST_MONGO', 'localhost') |
|
17 | 17 | mongoengine.connect('dbplots', host=host_mongo, port=27017) |
|
18 | 18 | |
|
19 | 19 | |
|
20 | 20 | host_redis = os.environ.get('HOST_REDIS', 'localhost') |
|
21 | 21 | channel = asgi_redis.RedisChannelLayer(hosts=[(host_redis, 6379)]) |
|
22 | 22 | |
|
23 | 23 | context = zmq.Context() |
|
24 | 24 | receiver = context.socket(zmq.SUB) |
|
25 | 25 | |
|
26 | 26 | receiver.bind("tcp://0.0.0.0:4444") |
|
27 | 27 | receiver.setsockopt(zmq.SUBSCRIBE, '') |
|
28 | 28 | |
|
29 | 29 | def loaddata(): |
|
30 | 30 | print('Loading Experiments...') |
|
31 | 31 | for tup in json.load(open('scripts/experiments.json')): |
|
32 | 32 | print(tup['name']) |
|
33 | 33 | exp = Experiment.objects(code=tup['code']).modify( |
|
34 | 34 | upsert=True, |
|
35 | 35 | new=True, |
|
36 | 36 | set__code=tup['code'], |
|
37 | 37 | set__name=tup['name'], |
|
38 | 38 | ) |
|
39 | 39 | exp.save() |
|
40 | 40 | |
|
41 | 41 | def update(buffer): |
|
42 | 42 | dt = datetime.utcfromtimestamp(buffer['time']) |
|
43 | 43 | exp = ExpMeta.objects(code=buffer['exp_code'], date=dt.date()).modify( |
|
44 | 44 | upsert=True, |
|
45 | 45 | new=True, |
|
46 | 46 | set__code=buffer['exp_code'], |
|
47 | 47 | set__date=dt.date(), |
|
48 | 48 | set__yrange = buffer['yrange'], |
|
49 | 49 | set__xrange = buffer['xrange'], |
|
50 | 50 | set__interval = buffer['interval'], |
|
51 | 51 | set__localtime = buffer['localtime'], |
|
52 | 52 | set__plots = buffer['data'].keys() |
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53 | 53 | ) |
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54 | 54 | exp.save() |
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55 | 55 | |
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56 | 56 | data = ExpData.objects(expmeta=exp, time=buffer['time']).modify( |
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57 | 57 | upsert=True, |
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58 | 58 | new=True, |
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59 | 59 | set__expmeta = exp, |
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60 | 60 | set__time = buffer['time'], |
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61 | 61 | set__data = buffer['data'] |
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62 | 62 | ) |
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63 | 63 | |
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64 | 64 | data.save() |
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65 | 65 | |
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66 | 66 | return exp.id |
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67 | 67 | |
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68 | 68 | def main(): |
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69 | 69 | print('Starting ZMQ server...') |
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70 | 70 | while True: |
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71 | 71 | buffer = receiver.recv_json() |
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72 | 72 | code = update(buffer) |
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73 | 73 | for plot in buffer['data']: |
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74 | 74 | dum = buffer.copy() |
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75 | 75 | dum['time'] = [buffer['time']] |
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76 | dum[plot] = buffer['data'][plot] | |
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76 | if plot=='noise': | |
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77 | dum[plot] = [[x] for x in buffer['data'][plot]] | |
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78 | else: | |
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79 | dum[plot] = buffer['data'][plot] | |
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77 | 80 | dum.pop('data') |
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78 | 81 | dum.pop('exp_code') |
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79 | 82 | channel.send_group(u'{}_{}'.format(code, plot), {'text': simplejson.dumps(dum, ignore_nan=True)}) |
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80 | 83 | print('Sending...{} - {} bytes'.format(plot, len(str(dum)))) |
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81 | 84 | |
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82 | 85 | if __name__=='__main__': |
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83 | 86 | loaddata() |
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84 | 87 | main() No newline at end of file |
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