cd8cff133bbe72fb732dad9b1dc9775b9db30de5
6 var callLuciRealtimeStats
= rpc
.declare({
8 method
: 'getRealtimeStats',
9 params
: [ 'mode', 'device' ],
10 expect
: { result
: [] }
16 Math
.log2
= Math
.log2
|| function(x
) { return Math
.log(x
) * Math
.LOG2E
; };
18 return L
.view
.extend({
21 this.loadSVG(L
.resource('wireless.svg')),
22 this.loadSVG(L
.resource('wifirate.svg')),
23 network
.getWifiDevices().then(function(radios
) {
24 var tasks
= [], all_networks
= [];
26 for (var i
= 0; i
< radios
.length
; i
++)
27 tasks
.push(radios
[i
].getWifiNetworks().then(function(networks
) {
28 all_networks
.push
.apply(all_networks
, networks
);
31 return Promise
.all(tasks
).then(function() {
38 updateGraph: function(ifname
, svg
, lines
, cb
) {
39 var G
= svg
.firstElementChild
;
41 var view
= document
.querySelector('#view');
43 var width
= view
.offsetWidth
- 2;
47 var data_wanted
= Math
.floor(width
/ step
);
52 for (var i
= 0; i
< lines
.length
; i
++)
62 /* prefill datasets */
63 for (var i
= 0; i
< data_values
.length
; i
++)
64 for (var j
= 0; j
< data_wanted
; j
++)
65 data_values
[i
][j
] = 0;
67 /* plot horizontal time interval lines */
68 for (var i
= width
% (step
* 60); i
< width
; i
+= step
* 60) {
69 var line
= document
.createElementNS('http://www.w3.org/2000/svg', 'line');
70 line
.setAttribute('x1', i
);
71 line
.setAttribute('y1', 0);
72 line
.setAttribute('x2', i
);
73 line
.setAttribute('y2', '100%');
74 line
.setAttribute('style', 'stroke:black;stroke-width:0.1');
76 var text
= document
.createElementNS('http://www.w3.org/2000/svg', 'text');
77 text
.setAttribute('x', i
+ 5);
78 text
.setAttribute('y', 15);
79 text
.setAttribute('style', 'fill:#eee; font-size:9pt; font-family:sans-serif; text-shadow:1px 1px 1px #000');
80 text
.appendChild(document
.createTextNode(Math
.round((width
- i
) / step
/ 60) + 'm'));
86 info
.interval
= pollInterval
;
87 info
.timeframe
= data_wanted
/ 60;
104 pollData: function() {
105 L
.Poll
.add(L
.bind(function() {
108 for (var i
= 0; i
< graphPolls
.length
; i
++) {
109 var ctx
= graphPolls
[i
];
110 tasks
.push(L
.resolveDefault(callLuciRealtimeStats('wireless', ctx
.ifname
), []));
113 return Promise
.all(tasks
).then(L
.bind(function(datasets
) {
114 for (var gi
= 0; gi
< graphPolls
.length
; gi
++) {
115 var ctx
= graphPolls
[gi
],
122 var data_wanted
= Math
.floor(ctx
.width
/ ctx
.step
);
123 var last_timestamp
= NaN
;
125 for (var i
= 0, di
= 0; di
< lines
.length
; di
++) {
126 if (lines
[di
] == null)
129 var multiply
= (lines
[di
].multiply
!= null) ? lines
[di
].multiply
: 1,
130 offset
= (lines
[di
].offset
!= null) ? lines
[di
].offset
: 0;
132 for (var j
= ctx
.timestamp
? 0 : 1; j
< data
.length
; j
++) {
133 /* skip overlapping entries */
134 if (data
[j
][0] <= ctx
.timestamp
)
139 last_timestamp
= data
[j
][0];
142 info
.line_current
[i
] = data
[j
][di
+ 1] * multiply
;
143 info
.line_current
[i
] -= Math
.min(info
.line_current
[i
], offset
);
144 values
[i
].push(info
.line_current
[i
]);
150 /* cut off outdated entries */
151 ctx
.fill
= Math
.min(ctx
.fill
, data_wanted
);
153 for (var i
= 0; i
< values
.length
; i
++) {
154 var len
= values
[i
].length
;
155 values
[i
] = values
[i
].slice(len
- data_wanted
, len
);
157 /* find peaks, averages */
158 info
.line_peak
[i
] = NaN
;
159 info
.line_average
[i
] = 0;
161 for (var j
= 0; j
< values
[i
].length
; j
++) {
162 info
.line_peak
[i
] = isNaN(info
.line_peak
[i
]) ? values
[i
][j
] : Math
.max(info
.line_peak
[i
], values
[i
][j
]);
163 info
.line_average
[i
] += values
[i
][j
];
166 info
.line_average
[i
] = info
.line_average
[i
] / ctx
.fill
;
169 info
.peak
= Math
.max
.apply(Math
, info
.line_peak
);
171 /* remember current timestamp, calculate horizontal scale */
172 if (!isNaN(last_timestamp
))
173 ctx
.timestamp
= last_timestamp
;
175 var size
= Math
.floor(Math
.log2(info
.peak
)),
176 div
= Math
.pow(2, size
- (size
% 10)),
177 mult
= info
.peak
/ div
,
178 mult
= (mult
< 5) ? 2 : ((mult
< 50) ? 10 : ((mult
< 500) ? 100 : 1000));
180 info
.peak
= info
.peak
+ (mult
* div
) - (info
.peak
% (mult
* div
));
182 data_scale
= ctx
.height
/ info
.peak
;
185 for (var i
= 0, di
= 0; di
< lines
.length
; di
++) {
186 if (lines
[di
] == null)
189 var el
= ctx
.svg
.firstElementChild
.getElementById(lines
[di
].line
),
190 pt
= '0,' + ctx
.height
,
196 for (var j
= 0; j
< values
[i
].length
; j
++) {
197 var x
= j
* ctx
.step
;
199 y
= ctx
.height
- Math
.floor(values
[i
][j
] * data_scale
);
200 //y -= Math.floor(y % (1 / data_scale));
202 pt
+= ' ' + x
+ ',' + y
;
205 pt
+= ' ' + ctx
.width
+ ',' + y
+ ' ' + ctx
.width
+ ',' + ctx
.height
;
207 el
.setAttribute('points', pt
);
212 info
.label_25
= 0.25 * info
.peak
;
213 info
.label_50
= 0.50 * info
.peak
;
214 info
.label_75
= 0.75 * info
.peak
;
216 if (typeof(ctx
.cb
) == 'function')
217 ctx
.cb(ctx
.svg
, info
);
220 }, this), pollInterval
);
223 loadSVG: function(src
) {
224 return L
.Request
.get(src
).then(function(response
) {
226 throw new Error(response
.statusText
);
229 'style': 'width:100%;height:300px;border:1px solid #000;background:#fff'
230 }, E(response
.text()));
234 render: function(data
) {
239 var v
= E('div', {}, E('div'));
241 for (var i
= 0; i
< wifidevs
.length
; i
++) {
242 var ifname
= wifidevs
[i
].getIfname();
247 var csvg1
= svg1
.cloneNode(true),
248 csvg2
= svg2
.cloneNode(true);
250 v
.firstElementChild
.appendChild(E('div', { 'data-tab': ifname
, 'data-tab-title': ifname
}, [
252 E('div', { 'class': 'right' }, E('small', { 'id': 'scale' }, '-')),
255 E('div', { 'class': 'table', 'style': 'width:100%;table-layout:fixed' }, [
256 E('div', { 'class': 'tr' }, [
257 E('div', { 'class': 'td right top' }, E('strong', { 'style': 'border-bottom:2px solid blue' }, [ _('Signal:') ])),
258 E('div', { 'class': 'td', 'id': 'rssi_bw_cur' }, [ '0 ' + _('dBm') ]),
260 E('div', { 'class': 'td right top' }, E('strong', {}, [ _('Average:') ])),
261 E('div', { 'class': 'td', 'id': 'rssi_bw_avg' }, [ '0 ' + _('dBm') ]),
263 E('div', { 'class': 'td right top' }, E('strong', {}, [ _('Peak:') ])),
264 E('div', { 'class': 'td', 'id': 'rssi_bw_peak' }, [ '0 ' + _('dBm') ])
266 E('div', { 'class': 'tr' }, [
267 E('div', { 'class': 'td right top' }, E('strong', { 'style': 'border-bottom:2px solid red' }, [ _('Noise:') ])),
268 E('div', { 'class': 'td', 'id': 'noise_bw_cur' }, [ '0 ' + _('dBm') ]),
270 E('div', { 'class': 'td right top' }, E('strong', {}, [ _('Average:') ])),
271 E('div', { 'class': 'td', 'id': 'noise_bw_avg' }, [ '0 ' + _('dBm') ]),
273 E('div', { 'class': 'td right top' }, E('strong', {}, [ _('Peak:') ])),
274 E('div', { 'class': 'td', 'id': 'noise_bw_peak' }, [ '0 ' + _('dBm') ])
280 E('div', { 'class': 'right' }, E('small', { 'id': 'scale2' }, '-')),
283 E('div', { 'class': 'table', 'style': 'width:100%;table-layout:fixed' }, [
284 E('div', { 'class': 'tr' }, [
285 E('div', { 'class': 'td right top' }, E('strong', { 'style': 'border-bottom:2px solid green' }, [ _('Phy Rate:') ])),
286 E('div', { 'class': 'td', 'id': 'rate_bw_cur' }, [ '0 MBit/s' ]),
288 E('div', { 'class': 'td right top' }, E('strong', {}, [ _('Average:') ])),
289 E('div', { 'class': 'td', 'id': 'rate_bw_avg' }, [ '0 MBit/s' ]),
291 E('div', { 'class': 'td right top' }, E('strong', {}, [ _('Peak:') ])),
292 E('div', { 'class': 'td', 'id': 'rate_bw_peak' }, [ '0 MBit/s' ])
297 this.updateGraph(ifname
, csvg1
, [ null, { line
: 'rssi', offset
: 155 }, { line
: 'noise', offset
: 155 } ], function(svg
, info
) {
298 var G
= svg
.firstElementChild
, tab
= svg
.parentNode
;
300 G
.getElementById('label_25').firstChild
.data
= '%d %s'.format(info
.label_25
- 100, _('dBm'));
301 G
.getElementById('label_50').firstChild
.data
= '%d %s'.format(info
.label_50
- 100, _('dBm'));
302 G
.getElementById('label_75').firstChild
.data
= '%d %s'.format(info
.label_75
- 100, _('dBm'));
304 tab
.querySelector('#scale').firstChild
.data
= _('(%d minute window, %d second interval)').format(info
.timeframe
, info
.interval
);
306 tab
.querySelector('#rssi_bw_cur').firstChild
.data
= '%d %s'.format(info
.line_current
[0] - 100, _('dBm'));
307 tab
.querySelector('#rssi_bw_avg').firstChild
.data
= '%d %s'.format(info
.line_average
[0] - 100, _('dBm'));
308 tab
.querySelector('#rssi_bw_peak').firstChild
.data
= '%d %s'.format(info
.line_peak
[0] - 100, _('dBm'));
310 tab
.querySelector('#noise_bw_cur').firstChild
.data
= '%d %s'.format(info
.line_current
[1] - 100, _('dBm'));
311 tab
.querySelector('#noise_bw_avg').firstChild
.data
= '%d %s'.format(info
.line_average
[1] - 100, _('dBm'));
312 tab
.querySelector('#noise_bw_peak').firstChild
.data
= '%d %s'.format(info
.line_peak
[1] - 100, _('dBm'));
315 this.updateGraph(ifname
, csvg2
, [ { line
: 'rate', multiply
: 0.001 } ], function(svg
, info
) {
316 var G
= svg
.firstElementChild
, tab
= svg
.parentNode
;
318 G
.getElementById('label_25').firstChild
.data
= '%.2f %s'.format(info
.label_25
, _('MBit/s'));
319 G
.getElementById('label_50').firstChild
.data
= '%.2f %s'.format(info
.label_50
, _('MBit/s'));
320 G
.getElementById('label_75').firstChild
.data
= '%.2f %s'.format(info
.label_75
, _('MBit/s'));
322 tab
.querySelector('#scale2').firstChild
.data
= _('(%d minute window, %d second interval)').format(info
.timeframe
, info
.interval
);
324 tab
.querySelector('#rate_bw_cur').firstChild
.data
= '%d %s'.format(info
.line_current
[0], _('Mbit/s'));
325 tab
.querySelector('#rate_bw_avg').firstChild
.data
= '%d %s'.format(info
.line_average
[0], _('Mbit/s'));
326 tab
.querySelector('#rate_bw_peak').firstChild
.data
= '%d %s'.format(info
.line_peak
[0], _('Mbit/s'));
330 ui
.tabs
.initTabGroup(v
.firstElementChild
.childNodes
);
337 handleSaveApply
: null,