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 function rate(n
, br
) {
19 n
= (n
|| 0).toFixed(2);
20 return [ '%1024.2mbit/s'.format(n
* 8), br
? E('br') : ' ', '(%1024.2mB/s)'.format(n
) ]
23 return L
.view
.extend({
26 this.loadSVG(L
.resource('bandwidth.svg')),
31 updateGraph: function(ifname
, svg
, lines
, cb
) {
32 var G
= svg
.firstElementChild
;
34 var view
= document
.querySelector('#view');
36 var width
= view
.offsetWidth
- 2;
40 var data_wanted
= Math
.floor(width
/ step
);
45 for (var i
= 0; i
< lines
.length
; i
++)
55 /* prefill datasets */
56 for (var i
= 0; i
< data_values
.length
; i
++)
57 for (var j
= 0; j
< data_wanted
; j
++)
58 data_values
[i
][j
] = 0;
60 /* plot horizontal time interval lines */
61 for (var i
= width
% (step
* 60); i
< width
; i
+= step
* 60) {
62 var line
= document
.createElementNS('http://www.w3.org/2000/svg', 'line');
63 line
.setAttribute('x1', i
);
64 line
.setAttribute('y1', 0);
65 line
.setAttribute('x2', i
);
66 line
.setAttribute('y2', '100%');
67 line
.setAttribute('style', 'stroke:black;stroke-width:0.1');
69 var text
= document
.createElementNS('http://www.w3.org/2000/svg', 'text');
70 text
.setAttribute('x', i
+ 5);
71 text
.setAttribute('y', 15);
72 text
.setAttribute('style', 'fill:#eee; font-size:9pt; font-family:sans-serif; text-shadow:1px 1px 1px #000');
73 text
.appendChild(document
.createTextNode(Math
.round((width
- i
) / step
/ 60) + 'm'));
79 info
.interval
= pollInterval
;
80 info
.timeframe
= data_wanted
/ 60;
97 pollData: function() {
98 L
.Poll
.add(L
.bind(function() {
101 for (var i
= 0; i
< graphPolls
.length
; i
++) {
102 var ctx
= graphPolls
[i
];
103 tasks
.push(L
.resolveDefault(callLuciRealtimeStats('interface', ctx
.ifname
), []));
106 return Promise
.all(tasks
).then(L
.bind(function(datasets
) {
107 for (var gi
= 0; gi
< graphPolls
.length
; gi
++) {
108 var ctx
= graphPolls
[gi
],
115 var data_wanted
= Math
.floor(ctx
.width
/ ctx
.step
);
116 var last_timestamp
= NaN
;
118 for (var i
= 0, di
= 0; di
< lines
.length
; di
++) {
119 if (lines
[di
] == null)
122 var multiply
= (lines
[di
].multiply
!= null) ? lines
[di
].multiply
: 1,
123 offset
= (lines
[di
].offset
!= null) ? lines
[di
].offset
: 0;
125 for (var j
= ctx
.timestamp
? 0 : 1; j
< data
.length
; j
++) {
126 /* skip overlapping entries */
127 if (data
[j
][0] <= ctx
.timestamp
)
132 last_timestamp
= data
[j
][0];
135 if (lines
[di
].counter
) {
136 /* normalize difference against time interval */
138 var time_delta
= data
[j
][0] - data
[j
- 1][0];
140 info
.line_current
[i
] = (data
[j
][di
+ 1] * multiply
- data
[j
- 1][di
+ 1] * multiply
) / time_delta
;
141 info
.line_current
[i
] -= Math
.min(info
.line_current
[i
], offset
);
142 values
[i
].push(info
.line_current
[i
]);
147 info
.line_current
[i
] = data
[j
][di
+ 1] * multiply
;
148 info
.line_current
[i
] -= Math
.min(info
.line_current
[i
], offset
);
149 values
[i
].push(info
.line_current
[i
]);
156 /* cut off outdated entries */
157 ctx
.fill
= Math
.min(ctx
.fill
, data_wanted
);
159 for (var i
= 0; i
< values
.length
; i
++) {
160 var len
= values
[i
].length
;
161 values
[i
] = values
[i
].slice(len
- data_wanted
, len
);
163 /* find peaks, averages */
164 info
.line_peak
[i
] = NaN
;
165 info
.line_average
[i
] = 0;
167 for (var j
= 0; j
< values
[i
].length
; j
++) {
168 info
.line_peak
[i
] = isNaN(info
.line_peak
[i
]) ? values
[i
][j
] : Math
.max(info
.line_peak
[i
], values
[i
][j
]);
169 info
.line_average
[i
] += values
[i
][j
];
172 info
.line_average
[i
] = info
.line_average
[i
] / ctx
.fill
;
175 info
.peak
= Math
.max
.apply(Math
, info
.line_peak
);
177 /* remember current timestamp, calculate horizontal scale */
178 if (!isNaN(last_timestamp
))
179 ctx
.timestamp
= last_timestamp
;
181 var size
= Math
.floor(Math
.log2(info
.peak
)),
182 div
= Math
.pow(2, size
- (size
% 10)),
183 mult
= info
.peak
/ div
,
184 mult
= (mult
< 5) ? 2 : ((mult
< 50) ? 10 : ((mult
< 500) ? 100 : 1000));
186 info
.peak
= info
.peak
+ (mult
* div
) - (info
.peak
% (mult
* div
));
188 data_scale
= ctx
.height
/ info
.peak
;
191 for (var i
= 0, di
= 0; di
< lines
.length
; di
++) {
192 if (lines
[di
] == null)
195 var el
= ctx
.svg
.firstElementChild
.getElementById(lines
[di
].line
),
196 pt
= '0,' + ctx
.height
,
202 for (var j
= 0; j
< values
[i
].length
; j
++) {
203 var x
= j
* ctx
.step
;
205 y
= ctx
.height
- Math
.floor(values
[i
][j
] * data_scale
);
206 //y -= Math.floor(y % (1 / data_scale));
208 pt
+= ' ' + x
+ ',' + y
;
211 pt
+= ' ' + ctx
.width
+ ',' + y
+ ' ' + ctx
.width
+ ',' + ctx
.height
;
213 el
.setAttribute('points', pt
);
218 info
.label_25
= 0.25 * info
.peak
;
219 info
.label_50
= 0.50 * info
.peak
;
220 info
.label_75
= 0.75 * info
.peak
;
222 if (typeof(ctx
.cb
) == 'function')
223 ctx
.cb(ctx
.svg
, info
);
226 }, this), pollInterval
);
229 loadSVG: function(src
) {
230 return L
.Request
.get(src
).then(function(response
) {
232 throw new Error(response
.statusText
);
235 'style': 'width:100%;height:300px;border:1px solid #000;background:#fff'
240 render: function(data
) {
244 var v
= E('div', {}, E('div'));
246 for (var i
= 0; i
< devs
.length
; i
++) {
247 var ifname
= devs
[i
].getName();
252 var csvg
= svg
.cloneNode(true);
254 v
.firstElementChild
.appendChild(E('div', { 'data-tab': ifname
, 'data-tab-title': ifname
}, [
256 E('div', { 'class': 'right' }, E('small', { 'id': 'scale' }, '-')),
259 E('div', { 'class': 'table', 'style': 'width:100%;table-layout:fixed' }, [
260 E('div', { 'class': 'tr' }, [
261 E('div', { 'class': 'td right top' }, E('strong', { 'style': 'border-bottom:2px solid blue' }, [ _('Inbound:') ])),
262 E('div', { 'class': 'td', 'id': 'rx_bw_cur' }, rate(0, true)),
264 E('div', { 'class': 'td right top' }, E('strong', {}, [ _('Average:') ])),
265 E('div', { 'class': 'td', 'id': 'rx_bw_avg' }, rate(0, true)),
267 E('div', { 'class': 'td right top' }, E('strong', {}, [ _('Peak:') ])),
268 E('div', { 'class': 'td', 'id': 'rx_bw_peak' }, rate(0, true))
270 E('div', { 'class': 'tr' }, [
271 E('div', { 'class': 'td right top' }, E('strong', { 'style': 'border-bottom:2px solid green' }, [ _('Outbound:') ])),
272 E('div', { 'class': 'td', 'id': 'tx_bw_cur' }, rate(0, true)),
274 E('div', { 'class': 'td right top' }, E('strong', {}, [ _('Average:') ])),
275 E('div', { 'class': 'td', 'id': 'tx_bw_avg' }, rate(0, true)),
277 E('div', { 'class': 'td right top' }, E('strong', {}, [ _('Peak:') ])),
278 E('div', { 'class': 'td', 'id': 'tx_bw_peak' }, rate(0, true))
283 this.updateGraph(ifname
, csvg
, [ { line
: 'rx', counter
: true }, null, { line
: 'tx', counter
: true } ], function(svg
, info
) {
284 var G
= svg
.firstElementChild
, tab
= svg
.parentNode
;
286 G
.getElementById('label_25').firstChild
.data
= rate(info
.label_25
).join('');
287 G
.getElementById('label_50').firstChild
.data
= rate(info
.label_50
).join('');
288 G
.getElementById('label_75').firstChild
.data
= rate(info
.label_75
).join('');
290 tab
.querySelector('#scale').firstChild
.data
= _('(%d minute window, %d second interval)').format(info
.timeframe
, info
.interval
);
292 L
.dom
.content(tab
.querySelector('#rx_bw_cur'), rate(info
.line_current
[0], true));
293 L
.dom
.content(tab
.querySelector('#rx_bw_avg'), rate(info
.line_average
[0], true));
294 L
.dom
.content(tab
.querySelector('#rx_bw_peak'), rate(info
.line_peak
[0], true));
296 L
.dom
.content(tab
.querySelector('#tx_bw_cur'), rate(info
.line_current
[1], true));
297 L
.dom
.content(tab
.querySelector('#tx_bw_avg'), rate(info
.line_average
[1], true));
298 L
.dom
.content(tab
.querySelector('#tx_bw_peak'), rate(info
.line_peak
[1], true));
302 ui
.tabs
.initTabGroup(v
.firstElementChild
.childNodes
);
309 handleSaveApply
: null,