Revize 66c042f1
Přidáno uživatelem Štěpán Červenka před více než 3 roky(ů)
src/app/sensor/components/dummysensor.json | ||
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1 |
[ |
|
2 |
{ |
|
3 |
"firstObservationTime": "2019-03-07 06:10:16+02", |
|
4 |
"lastObservationTime": "2021-05-12 18:00:06+03", |
|
5 |
"phenomenon": { |
|
6 |
"phenomenonId": "1", |
|
7 |
"phenomenonName": "Temperature", |
|
8 |
"unit": "°C" |
|
9 |
}, |
|
10 |
"sensorId": 340400000, |
|
11 |
"sensorName": "iMetos HC Air temp", |
|
12 |
"sensorType": "Thermometer" |
|
13 |
} |
|
14 |
] |
src/app/sensor/components/sensor.component.ts | ||
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9 | 9 |
import {map} from 'rxjs/operators'; |
10 | 10 |
import {ToastService} from '../../shared/services/toast.service'; |
11 | 11 |
|
12 |
declare var require: any |
|
13 |
|
|
12 | 14 |
@Component({ |
13 | 15 |
selector: 'app-sensor', |
14 | 16 |
templateUrl: './sensor.component.html', |
15 | 17 |
styleUrls: ['./sensor.component.scss'] |
16 | 18 |
}) |
19 |
|
|
20 |
|
|
21 |
|
|
17 | 22 |
export class SensorComponent implements OnInit { |
18 | 23 |
|
19 | 24 |
sensorId: number; |
... | ... | |
89 | 94 |
observations => { |
90 | 95 |
if (observations) { |
91 | 96 |
// GraphLoader.getGraph(this.sensorId, observations[this.sensorId].data, observations[this.sensorId].interval, '#view'); |
92 |
GraphLoader.getGraph(this.sensorId, observations[this.sensorId].data, '#view', true);
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|
97 |
GraphLoader.getGraph(this.sensorId, observations, this.getDummySensor(), '#view', true);
|
|
93 | 98 |
} else { |
94 |
GraphLoader.getGraph(null, null, '#view', null); |
|
99 |
GraphLoader.getGraph(null, null, null, '#view', null);
|
|
95 | 100 |
} |
96 | 101 |
}, err => this.toastService.showError(err.error.message)); |
97 | 102 |
} |
... | ... | |
117 | 122 |
observations => { |
118 | 123 |
if (observations) { |
119 | 124 |
// GraphLoader.getObservationGraph(this.sensorId, observations, '#view'); |
120 |
GraphLoader.getGraph(this.sensorId, observations[this.sensorId].data, '#view', false);
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|
125 |
GraphLoader.getGraph(this.sensorId, observations, this.getDummySensor(), '#view', false);
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|
121 | 126 |
} else { |
122 | 127 |
// GraphLoader.getObservationGraph(null, null, null); |
123 |
GraphLoader.getGraph(null, null, '#view', null); |
|
128 |
GraphLoader.getGraph(null, null, null,'#view', null);
|
|
124 | 129 |
} |
125 | 130 |
}, err => this.toastService.showError(err.error.message)); |
126 | 131 |
} |
132 |
|
|
133 |
getDummySensor() { |
|
134 |
return require('/src/app/sensor/components/dummysensor.json'); |
|
135 |
} |
|
127 | 136 |
} |
src/app/shared/graph-loading/emptygraph.ts | ||
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24 | 24 |
return rvalue; |
25 | 25 |
} |
26 | 26 |
|
27 |
setData(spec, data) { |
|
28 |
//DO NOTHING |
|
29 |
} |
|
30 |
|
|
31 |
setLegendInfo(spec, legend) { |
|
32 |
//DO NOTHING |
|
33 |
} |
|
34 |
|
|
27 | 35 |
} |
src/app/shared/graph-loading/graphloader.ts | ||
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10 | 10 |
export class GraphLoader { |
11 | 11 |
|
12 | 12 |
|
13 |
static getGraphType(sensors, data, isAnalytics): Graph { |
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13 |
static getGraphType(sensors, data, legend, isAnalytics): Graph {
|
|
14 | 14 |
if (sensors == null) { |
15 | 15 |
return new EmptyGraph("Selected no sensors."); |
16 | 16 |
|
17 |
} else if (Array.isArray(sensors)) { |
|
17 |
} else if (Array.isArray(sensors)) {
|
|
18 | 18 |
if (sensors.length == 0) { |
19 | 19 |
return new EmptyGraph("Selected no sensors."); |
20 | 20 |
} else if (sensors.length == 1) { |
21 |
return new SingleGraph(sensors[0], isAnalytics, data, 10000); |
|
21 |
return new SingleGraph(sensors[0], isAnalytics, data, legend,10000);
|
|
22 | 22 |
} else { |
23 |
return new MultiGraph(isAnalytics, data, 10000); |
|
23 |
return new MultiGraph(isAnalytics, data, legend,10000);
|
|
24 | 24 |
} |
25 | 25 |
|
26 | 26 |
} else { |
27 |
return new SingleGraph(sensors, isAnalytics, data, 10000); |
|
27 |
return new SingleGraph(sensors, isAnalytics, data, legend, 10000);
|
|
28 | 28 |
} |
29 | 29 |
} |
30 | 30 |
|
31 | 31 |
|
32 |
static getGraph(sensors, data, element, isAnalytics) { |
|
33 |
let graph = this.getGraphType(sensors,data, isAnalytics); |
|
32 |
static getGraph(sensors, data, legendInfo, element, isAnalytics) {
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33 |
let graph = this.getGraphType(sensors,data, legendInfo, isAnalytics);
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34 | 34 |
let config = graph.getConfig(); |
35 | 35 |
let spec = graph.getSpec(); |
36 |
spec['data'][0].values = data; |
|
36 |
|
|
37 | 37 |
|
38 | 38 |
this.showGraph(spec, config, element); |
39 | 39 |
|
src/app/shared/graph-loading/multigraph.ts | ||
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7 | 7 |
isAnalytics: boolean; |
8 | 8 |
data: any []; |
9 | 9 |
interval: number; |
10 |
legend: {}; |
|
10 | 11 |
|
11 |
constructor(isAnalytics: boolean, data: any [], interval: number) { |
|
12 |
constructor(isAnalytics: boolean, data: any [], legend: {}, interval: number) {
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|
12 | 13 |
this.isAnalytics = isAnalytics; |
13 | 14 |
this.data = data; |
14 | 15 |
this.interval = interval; |
16 |
this.legend = this.getLegend(legend); |
|
15 | 17 |
|
16 | 18 |
} |
17 | 19 |
|
... | ... | |
22 | 24 |
let config1 = require('/src/vega/config/config.json'); |
23 | 25 |
lodash.merge(rvalue, config1); |
24 | 26 |
let config2 = require('/src/vega/config/config-multiline.json'); |
27 |
let config3 = require('/src/vega/config/config-barline.json'); |
|
25 | 28 |
|
26 | 29 |
|
27 | 30 |
for(let key in config2.signals) { |
... | ... | |
29 | 32 |
rvalue.signals.push(obj); |
30 | 33 |
} |
31 | 34 |
|
32 |
return config1; |
|
35 |
for(let key in config3.signals) { |
|
36 |
let obj = config3.signals[key]; |
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37 |
rvalue.signals.push(obj); |
|
38 |
} |
|
39 |
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40 |
return rvalue; |
|
33 | 41 |
} |
34 | 42 |
|
35 | 43 |
getSpec(): {} { |
... | ... | |
37 | 45 |
const rvalue: any = {}; |
38 | 46 |
const base = require('/src/vega/base/default.json'); |
39 | 47 |
const body = require('/src/vega/body/multilinechart.json'); |
40 |
const tooltip = require('/src/vega/tooltip/multiline-tooltip.json'); |
|
48 |
const legend = require('/src/vega/miscs/legend.json'); |
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49 |
const tooltip = require('/src/vega/miscs/multiline-tooltip.json'); |
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41 | 50 |
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42 |
lodash.merge(rvalue, base, body, tooltip); |
|
51 |
lodash.merge(rvalue, base, body, legend, tooltip);
|
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43 | 52 |
|
44 |
rvalue.data[0].values = this.data; |
|
53 |
rvalue.data[1].values = this.data; |
|
54 |
rvalue.data[0].values = this.legend; |
|
45 | 55 |
rvalue.signals[0].value = this.interval; |
46 | 56 |
rvalue.marks[0].marks[0].marks[0].marks[2].encode.enter.tooltip.signal = this.getTooltipMessage(); |
47 | 57 |
|
... | ... | |
58 | 68 |
return message; |
59 | 69 |
} |
60 | 70 |
|
71 |
private getLegend(legend: any) { |
|
72 |
if(Array.isArray(legend)) { |
|
73 |
return legend[0]; |
|
74 |
} else { |
|
75 |
return legend; |
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76 |
} |
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77 |
} |
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78 |
|
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79 |
|
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61 | 80 |
} |
src/app/shared/graph-loading/singlegraph.ts | ||
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1 | 1 |
import {Graph} from "./graph"; |
2 |
import {SingleGraphType} from "./singlegraphtype"; |
|
2 | 3 |
|
3 | 4 |
declare var require: any |
4 | 5 |
|
5 |
export class SingleGraph implements Graph{ |
|
6 |
export class SingleGraph implements Graph {
|
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6 | 7 |
isAnalytics: boolean; |
7 | 8 |
sensorId: number; |
8 | 9 |
interval: number; |
9 | 10 |
data: any []; |
11 |
legend: {}; |
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12 |
type: SingleGraphType; |
|
10 | 13 |
|
11 |
constructor(sensorId: number, isAnalytics: boolean, data: any[], interval: number) { |
|
14 |
constructor(sensorId: number, isAnalytics: boolean, data: any[], legend: {}, interval: number) {
|
|
12 | 15 |
this.sensorId = sensorId; |
13 | 16 |
this.isAnalytics = isAnalytics; |
14 | 17 |
this.interval = interval; |
15 | 18 |
this.data = data; |
19 |
this.legend = this.getLegend(legend); |
|
20 |
this.type = this.getGraphType(); |
|
21 |
|
|
16 | 22 |
} |
17 | 23 |
|
24 |
|
|
18 | 25 |
getConfig(): {} { |
19 | 26 |
const lodash = require('lodash/object'); |
20 | 27 |
const rvalue: any = {}; |
21 | 28 |
let config1 = require('/src/vega/config/config.json'); |
22 | 29 |
lodash.merge(rvalue, config1); |
30 |
|
|
23 | 31 |
let config2; |
24 |
if(this.isAnalytics) { |
|
32 |
if (this.isAnalytics) {
|
|
25 | 33 |
config2 = require('/src/vega/config/config-analytics.json'); |
26 | 34 |
} else { |
27 | 35 |
config2 = require('/src/vega/config/config-observations.json'); |
28 | 36 |
} |
29 | 37 |
|
30 |
for(let key in config2.signals) { |
|
38 |
let config3; |
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39 |
switch (this.type) { |
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case SingleGraphType.LINECHART: |
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41 |
case SingleGraphType.BARCHART: |
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42 |
config3 = require('/src/vega/config/config-barline.json'); |
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break; |
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44 |
case SingleGraphType.WINDCHART: |
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45 |
config3 = require('/src/vega/config/config-wind.json'); |
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46 |
break; |
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} |
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48 |
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49 |
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for (let key in config2.signals) { |
|
31 | 51 |
let obj = config2.signals[key]; |
32 | 52 |
rvalue.signals.push(obj); |
33 | 53 |
} |
34 | 54 |
|
35 |
return config1; |
|
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for (let key in config3.signals) { |
|
56 |
let obj = config3.signals[key]; |
|
57 |
rvalue.signals.push(obj); |
|
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} |
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59 |
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60 |
return rvalue; |
|
36 | 61 |
} |
37 | 62 |
|
38 | 63 |
getSpec(): {} { |
... | ... | |
40 | 65 |
const rvalue: any = {}; |
41 | 66 |
const base = require('/src/vega/base/default.json'); |
42 | 67 |
const body = this.getBodySpec(); |
68 |
const legend = this.getLegendSpec(); |
|
43 | 69 |
const tooltip = this.getTooltipSpec(); |
44 |
lodash.merge(rvalue, base, body, tooltip); |
|
70 |
lodash.merge(rvalue, base, body, legend, tooltip);
|
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45 | 71 |
|
46 | 72 |
|
47 |
rvalue.data[0].values = this.data; |
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73 |
this.setData(rvalue, this.data); |
|
74 |
rvalue['data'][0].values = this.legend; |
|
48 | 75 |
rvalue.signals[0].value = this.interval; |
49 | 76 |
|
50 | 77 |
return rvalue; |
51 | 78 |
} |
52 | 79 |
|
53 | 80 |
|
54 |
private getBodySpec() { |
|
81 |
private getLegendSpec() { |
|
82 |
switch (this.type) { |
|
83 |
case SingleGraphType.BARCHART: |
|
84 |
case SingleGraphType.LINECHART: |
|
85 |
return require('/src/vega/miscs/legend.json'); |
|
86 |
case SingleGraphType.WINDCHART: |
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87 |
return {}; |
|
88 |
} |
|
89 |
} |
|
90 |
|
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91 |
private getBodySpec() { |
|
92 |
switch (this.type) { |
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93 |
case SingleGraphType.BARCHART: |
|
94 |
return require('/src/vega/body/barchart.json'); |
|
95 |
case SingleGraphType.WINDCHART: |
|
96 |
return require('/src/vega/body/windchart.json'); |
|
97 |
case SingleGraphType.LINECHART: |
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98 |
//TODO pridat min/max |
|
99 |
return require('/src/vega/body/linechart.json'); |
|
100 |
} |
|
101 |
} |
|
102 |
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103 |
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104 |
private getTooltipSpec() { |
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105 |
let lodash = require('lodash'); |
|
106 |
let tooltipMessage; |
|
107 |
let rvalue: any = {}; |
|
108 |
if (this.isAnalytics) { |
|
109 |
lodash.merge(rvalue, require('/src/vega/miscs/samm-tooltip.json')); |
|
110 |
tooltipMessage = this.getSammTooltip(); |
|
111 |
} else { |
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112 |
lodash.merge(rvalue, require('/src/vega/miscs/value-tooltip.json')); |
|
113 |
tooltipMessage = this.getValueTooltip(); |
|
114 |
} |
|
115 |
|
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116 |
rvalue.marks[0].marks[0].marks[0].encode.enter.tooltip.signal = tooltipMessage; |
|
117 |
return rvalue; |
|
118 |
} |
|
119 |
|
|
120 |
|
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121 |
private getValueTooltip() { |
|
122 |
return "{title: timeFormat(datum.dateTime, '%A, %e. %B %Y, %X') , 'value': datum.value + ' " + this.legend['phenomenon']['unit'] + "', 'gid': datum.gid }" |
|
123 |
} |
|
124 |
|
|
125 |
private getSammTooltip() { |
|
126 |
return "{title: timeFormat(datum.dateTime, '%A, %e. %B %Y, %X') " + |
|
127 |
" , 'avg': datum.avg + ' " + this.legend['phenomenon']['unit'] + |
|
128 |
"', 'sum': datum.sum + ' " + this.legend['phenomenon']['unit'] + |
|
129 |
"', 'max': datum.max + ' " + this.legend['phenomenon']['unit'] + |
|
130 |
"', 'min': datum.min + ' " + this.legend['phenomenon']['unit'] + "'}" |
|
131 |
} |
|
132 |
|
|
133 |
|
|
134 |
private setData(spec: any, data: any) { |
|
135 |
if(data.length > 0 && 'data' in data[0]) { |
|
136 |
spec['data'][1].values = data[0].data; |
|
137 |
} else { |
|
138 |
spec['data'][1].values = data; |
|
139 |
} |
|
140 |
} |
|
141 |
|
|
142 |
private getLegend(legend: any) { |
|
143 |
if (Array.isArray(legend)) { |
|
144 |
return legend[0]; |
|
145 |
} else { |
|
146 |
return legend; |
|
147 |
} |
|
148 |
} |
|
149 |
|
|
150 |
private getGraphType() { |
|
55 | 151 |
if (this.sensorId >= 480000000 && this.sensorId < 490000000) { |
56 |
return require('/src/vega/body/barchart.json');
|
|
152 |
return SingleGraphType.BARCHART;
|
|
57 | 153 |
} else if ((this.sensorId >= 470020000 && this.sensorId < 470030000) || (this.sensorId >= 470060000 && this.sensorId < 470090000) || |
58 | 154 |
(this.sensorId >= 470130000 && this.sensorId < 470140000) || (this.sensorId >= 470180000 && this.sensorId < 470190000)) { |
59 |
return require('/src/vega/body/windchart.json');
|
|
155 |
return SingleGraphType.WINDCHART;
|
|
60 | 156 |
} else { |
61 | 157 |
//TODO pridat min/max |
62 |
return require('/src/vega/body/linechart.json');
|
|
158 |
return SingleGraphType.LINECHART;
|
|
63 | 159 |
} |
64 | 160 |
} |
65 | 161 |
|
66 | 162 |
|
67 |
private getTooltipSpec() { |
|
68 |
if(this.isAnalytics) { |
|
69 |
return require('/src/vega/tooltip/samm-tooltip.json'); |
|
70 |
} else { |
|
71 |
return require('/src/vega/tooltip/value-tooltip.json'); |
|
72 |
} |
|
73 |
} |
|
74 |
|
|
75 | 163 |
} |
src/app/shared/graph-loading/singlegraphtype.ts | ||
---|---|---|
1 |
export enum SingleGraphType{ |
|
2 |
LINECHART, |
|
3 |
BARCHART, |
|
4 |
WINDCHART |
|
5 |
} |
src/app/unit/components/unit.component.ts | ||
---|---|---|
65 | 65 |
this.sensorGroups.push(sensorType); |
66 | 66 |
setTimeout(() => { |
67 | 67 |
//GraphLoader.getAnalyticsGraph(null, null, null, '#vega_container_' + sensor.sensorId.toString().slice(0, 5)); |
68 |
GraphLoader.getGraph(null, null, '#vega_container_' + sensor.sensorId.toString().slice(0, 5),null ); |
|
68 |
GraphLoader.getGraph(null, null, null, '#vega_container_' + sensor.sensorId.toString().slice(0, 5),null );
|
|
69 | 69 |
}, 0); |
70 | 70 |
} |
71 | 71 |
}); |
... | ... | |
101 | 101 |
} |
102 | 102 |
|
103 | 103 |
getAnalytics(range: Date[], changedDate: boolean, changedSensor: string) { |
104 |
const groupId = changedSensor.toString().slice(0, 5); |
|
104 | 105 |
if (changedDate) { |
105 | 106 |
this.selectedSensors.forEach(selectSens => { |
106 | 107 |
this.analyticsService.getAnalytics$Response({unit_id: this.unitId, sensor_id: parseInt(selectSens, 10), |
... | ... | |
111 | 112 |
return response.body; |
112 | 113 |
} else if (response.status === 204) { |
113 | 114 |
//GraphLoader.getAnalyticsGraph(null, null, null, '#vega_container_' + selectSens.toString().slice(0, 5)); |
114 |
GraphLoader.getGraph(null, null, '#vega_container_' + selectSens.toString().slice(0, 5),null ); |
|
115 |
GraphLoader.getGraph(null, null, null, '#vega_container_' + selectSens.toString().slice(0, 5),null );
|
|
115 | 116 |
this.toastService.showWarningNoData(); |
116 | 117 |
return response.body; |
117 | 118 |
} else { |
... | ... | |
129 | 130 |
//GraphLoader.getAnalyticsGraph(key, data[key].data, data[key].interval, view); |
130 | 131 |
//GraphLoader.getGraph(this.selectedSensors, this.filteredAnalyticsData(groupId), view, true); |
131 | 132 |
} else { |
132 |
GraphLoader.getGraph(null, null, view, null); |
|
133 |
GraphLoader.getGraph(null, null, null, view, null);
|
|
133 | 134 |
} |
134 | 135 |
} |
135 | 136 |
} |
... | ... | |
159 | 160 |
const view = '#vega_container_' + key.slice(0, 5); |
160 | 161 |
if (this.selectedSensors.some(sens => sens.toString() === key)) { |
161 | 162 |
// GraphLoader.getAnalyticsGraph(key, data[key].data, data[key].interval, view); |
162 |
GraphLoader.getGraph(this.selectedSensors, this.analyticsData, view, true); |
|
163 |
GraphLoader.getGraph(this.selectedSensors, this.analyticsData, this.filteredSensorsInfos(groupId), view, true);
|
|
163 | 164 |
} else { |
164 | 165 |
//GraphLoader.getAnalyticsGraph(null, null, null, view); |
165 |
GraphLoader.getGraph(null, null, view, null); |
|
166 |
GraphLoader.getGraph(null, null, null, view, null);
|
|
166 | 167 |
} |
167 | 168 |
} |
168 | 169 |
} |
... | ... | |
181 | 182 |
const sensorGroupElement = '#vega_container_' + groupId; |
182 | 183 |
if (!this.selectedSensors.find(sensId => sensId.toString().slice(0, 5) === groupId)) { // if group of sensors is empty show empty graph |
183 | 184 |
//GraphLoader.getAnalyticsGraph(null, null, null, sensorGroupElement); |
184 |
GraphLoader.getGraph(null, null, sensorGroupElement, null); |
|
185 |
GraphLoader.getGraph(null, null, null, sensorGroupElement, null);
|
|
185 | 186 |
} else { |
186 | 187 |
if (this.useAnalyticsData) { // use analytics data |
187 | 188 |
if (event.checked) { // if checked > add to graph |
188 | 189 |
if (this.analyticsData.some(sens => sens.sensorId === sensorId)) { // if already data for selected sensor in memory |
189 | 190 |
//GraphLoader.getAnalyticsGraph(sensorId, this.analyticsData.find(sens => sens.sensorId === sensorId).data, |
190 | 191 |
// this.analyticsData.find((sens => sens.sensorId === sensorId).interval, sensorGroupElement); |
191 |
GraphLoader.getGraph(this.selectedSensors, this.analyticsData, sensorGroupElement, true); |
|
192 |
GraphLoader.getGraph(this.selectedSensors, this.analyticsData, this.filteredSensorsInfos(groupId), sensorGroupElement, true);
|
|
192 | 193 |
|
193 | 194 |
} else { // get data from server for added sensor and show graph for selected sensors |
194 | 195 |
this.showGraph(false, sensorId); |
... | ... | |
196 | 197 |
} else { // remove sensor from graph |
197 | 198 |
//GraphLoader.getAnalyticsGraph(sensorId, this.analyticsData.find(sens => sens.sensorId === sensorId).data, |
198 | 199 |
// this.analyticsData.find(sens => sens.sensorId === sensorId).interval, sensorGroupElement); |
199 |
GraphLoader.getGraph(this.selectedSensors, this.analyticsData, sensorGroupElement, true); |
|
200 |
GraphLoader.getGraph(this.selectedSensors, this.analyticsData, this.filteredSensorsInfos(groupId), sensorGroupElement, true);
|
|
200 | 201 |
|
201 | 202 |
} |
202 | 203 |
} else { // use observations data |
203 | 204 |
if (event.checked) { // if checked > add to graph |
204 | 205 |
if (this.observationsData.some(sens => sens.sensorId.toString() === sensorId)) { // if already data for selected sensor in memory |
205 |
GraphLoader.getGraph(this.selectedSensors, this.filteredObservationData(groupId), sensorGroupElement, false);
|
|
206 |
GraphLoader.getGraph(this.filteredSelectedSensors(groupId), this.filteredObservationData(groupId), this.filteredSensorsInfos(groupId), sensorGroupElement, false);
|
|
206 | 207 |
//GraphLoader.getMultilineGraph(this.selectedSensors, this.filteredObservationData(groupId), sensorGroupElement) |
207 | 208 |
} else { // get data from server for added sensor and show graph for selected sensors |
208 | 209 |
this.showGraph(false, sensorId); |
209 | 210 |
} |
210 | 211 |
} else { // remove sensor from graph |
211 | 212 |
//GraphLoader.getMultilineGraph(this.selectedSensors, this.filteredObservationData(groupId), sensorGroupElement) |
212 |
GraphLoader.getGraph(this.selectedSensors, this.filteredObservationData(groupId), sensorGroupElement, false); |
|
213 |
GraphLoader.getGraph(this.filteredSelectedSensors(groupId), this.filteredObservationData(groupId), this.filteredSensorsInfos(groupId), sensorGroupElement, false); |
|
214 |
|
|
213 | 215 |
} |
214 | 216 |
} |
215 | 217 |
} |
... | ... | |
232 | 234 |
sen.sensorId.toString().slice(0, 5) === sensorGroupId); |
233 | 235 |
} |
234 | 236 |
|
237 |
|
|
238 |
filteredSelectedSensors(sensorGroupId: string): any { |
|
239 |
return this.selectedSensors.filter(sen => sen.toString().slice(0, 5) == sensorGroupId ); |
|
240 |
} |
|
241 |
|
|
242 |
filteredSensorsInfos(sensorGroupId: string): any { |
|
243 |
return this.sensors.filter(sen => this.selectedSensors.includes(sen.sensorId.toString()) && |
|
244 |
sen.sensorId.toString().slice(0, 5) == sensorGroupId); |
|
245 |
} |
|
246 |
|
|
235 | 247 |
private getObservations(range: Date[], changedDate: boolean, changedSensorId: string) { |
248 |
const groupId = changedSensorId.toString().slice(0, 5); |
|
236 | 249 |
if (changedDate) { // if changed date we need new data for all sensors |
237 | 250 |
this.observationsData = []; // empty observation data |
238 | 251 |
this.selectedSensors.forEach(selectSens => { |
... | ... | |
264 | 277 |
setTimeout(() => { |
265 | 278 |
console.log(this.selectedSensors); |
266 | 279 |
//GraphLoader.getMultilineGraph(this.selectedSensors, this.filteredObservationData(selectSens.toString().slice(0, 5)), view); |
267 |
GraphLoader.getGraph(this.selectedSensors, this.filteredObservationData(changedSensorId.toString().slice(0, 5)), view, false);
|
|
280 |
GraphLoader.getGraph(this.filteredSelectedSensors(groupId), this.filteredObservationData(groupId), this.filteredSensorsInfos(groupId), view, false);
|
|
268 | 281 |
}, 10); |
269 | 282 |
} |
270 | 283 |
}) |
... | ... | |
292 | 305 |
this.observationsData.push({sensorId: changedSensorId, sensor: |
293 | 306 |
this.sensors.find(sens => sens.sensorId.toString() === changedSensorId.toString()), data: observations}); |
294 | 307 |
const view = '#vega_container_' + changedSensorId.toString().slice(0, 5); |
295 |
if (observations) { |
|
296 |
console.log(this.observationsData); |
|
297 |
GraphLoader.getGraph(this.selectedSensors, this.filteredObservationData(changedSensorId.toString().slice(0, 5)), view, false); |
|
298 |
//GraphLoader.getMultilineGraph(this.selectedSensors, this.filteredObservationData(changedSensorId.toString().slice(0, 5)), view); |
|
299 |
} else { |
|
300 |
//GraphLoader.getMultilineGraph(null, null, null); |
|
301 |
GraphLoader.getGraph(this.selectedSensors, this.filteredObservationData(changedSensorId.toString().slice(0, 5)), view, false); |
|
302 |
} |
|
308 |
|
|
309 |
GraphLoader.getGraph(this.filteredSelectedSensors(groupId), this.filteredObservationData(groupId), this.filteredSensorsInfos(groupId), view, false); |
|
303 | 310 |
}, err => this.toastService.showError(err.error.message)); |
304 | 311 |
} |
305 | 312 |
} |
src/vega/base/default.json | ||
---|---|---|
1 | 1 |
{ |
2 | 2 |
"data": [ |
3 |
{ |
|
4 |
"name": "legend", |
|
5 |
"values": null |
|
6 |
}, |
|
3 | 7 |
{ |
4 | 8 |
"name": "source", |
5 | 9 |
"values": null |
... | ... | |
43 | 47 |
}, |
44 | 48 |
{ |
45 | 49 |
"type": "formula", |
46 |
"expr":"time(datum[\"dateMinTemp\"]) - (timeStep * 500)",
|
|
50 |
"expr":"time(datum[\"dateMinTemp\"]) - timeWindow",
|
|
47 | 51 |
"as": "dateMin" |
48 | 52 |
}, |
49 | 53 |
{ |
50 | 54 |
"type": "formula", |
51 |
"expr":"time(datum[\"dateMaxTemp\"]) + (timeStep * 500)",
|
|
55 |
"expr":"time(datum[\"dateMaxTemp\"]) + timeWindow",
|
|
52 | 56 |
"as": "dateMax" |
53 | 57 |
}, |
54 | 58 |
{ |
... | ... | |
61 | 65 |
], |
62 | 66 |
|
63 | 67 |
"signals": [ |
64 |
{ |
|
65 |
"name": "timeStep", |
|
66 |
"value": null |
|
67 |
}, |
|
68 | 68 |
{ |
69 | 69 |
"name": "detailDomain" |
70 | 70 |
} |
... | ... | |
87 | 87 |
"name": "xDetail", |
88 | 88 |
"type": "time", |
89 | 89 |
"range": "width", |
90 |
"domain": {"data": "table", "field": "dateTime"}, |
|
90 |
"domain": { |
|
91 |
"data": "range", |
|
92 |
"fields": [ |
|
93 |
"dateMin", |
|
94 |
"dateMax" |
|
95 |
] |
|
96 |
}, |
|
91 | 97 |
"domainRaw": {"signal": "detailDomain"} |
92 | 98 |
} |
93 | 99 |
], |
... | ... | |
124 | 130 |
"encode": { |
125 | 131 |
"enter": { |
126 | 132 |
"x": {"value": 0}, |
127 |
"y": {"value": 430},
|
|
128 |
"height": {"value": 70},
|
|
129 |
"width": {"value": 720},
|
|
133 |
"y": {"signal": "overviewHeightStart"},
|
|
134 |
"height": {"signal": "overviewHeight"},
|
|
135 |
"width": {"signal": "width"},
|
|
130 | 136 |
"fill": {"value": "transparent"} |
131 | 137 |
} |
132 | 138 |
}, |
src/vega/base/empty.json | ||
---|---|---|
1 | 1 |
{ |
2 | 2 |
|
3 | 3 |
"data":[ |
4 |
{ |
|
5 |
"name": "legend", |
|
6 |
"values": null |
|
7 |
}, |
|
4 | 8 |
{ |
5 | 9 |
"name": "source", |
6 | 10 |
"values": null |
src/vega/body/barchart.json | ||
---|---|---|
1 | 1 |
{ |
2 | 2 |
"data": [ |
3 |
{}, |
|
4 |
{}, |
|
5 |
{}, |
|
6 |
{}, |
|
3 | 7 |
{}, |
4 | 8 |
{ |
9 |
"name": "ranks", |
|
10 |
"source": "table", |
|
5 | 11 |
"transform": [ |
6 |
{}, |
|
7 |
{}, |
|
8 |
{}, |
|
9 |
{}, |
|
10 | 12 |
{ |
11 |
"type": "timeunit", |
|
12 |
"field": "dateTime", |
|
13 |
"units": [ |
|
14 |
"year", |
|
15 |
"month", |
|
16 |
"date", |
|
17 |
"hours", |
|
18 |
"minutes", |
|
19 |
"seconds" |
|
13 |
"type": "window", |
|
14 |
"sort": { |
|
15 |
"field": "dateTime", |
|
16 |
"order": "ascending" |
|
17 |
}, |
|
18 |
"ops": [ |
|
19 |
"rank" |
|
20 | 20 |
], |
21 |
"step": { |
|
22 |
"signal": "timeStep" |
|
23 |
} |
|
21 |
"fields": [ |
|
22 |
"value" |
|
23 |
], |
|
24 |
"as": [ |
|
25 |
"rank" |
|
26 |
] |
|
24 | 27 |
}, |
25 | 28 |
{ |
26 | 29 |
"type": "formula", |
27 |
"expr": "time(datum[\"unit0\"] + (timeStep * 100))",
|
|
28 |
"as": "barStart"
|
|
30 |
"expr": "datum.rank + 1",
|
|
31 |
"as": "nextRank"
|
|
29 | 32 |
}, |
30 | 33 |
{ |
31 | 34 |
"type": "formula", |
32 |
"expr": "time(datum[\"unit1\"] - (timeStep * 100))", |
|
33 |
"as": "barEnd" |
|
35 |
"expr": "datum.rank - 1", |
|
36 |
"as": "prevRank" |
|
37 |
} |
|
38 |
] |
|
39 |
}, |
|
40 |
{ |
|
41 |
"name": "lookup", |
|
42 |
"source": "ranks", |
|
43 |
"transform": [ |
|
44 |
{ |
|
45 |
"type": "lookup", |
|
46 |
"from": "ranks", |
|
47 |
"key": "rank", |
|
48 |
"fields": [ |
|
49 |
"nextRank" |
|
50 |
], |
|
51 |
"as": [ |
|
52 |
"nextObj" |
|
53 |
] |
|
54 |
}, |
|
55 |
{ |
|
56 |
"type": "lookup", |
|
57 |
"from": "ranks", |
|
58 |
"key": "rank", |
|
59 |
"fields": [ |
|
60 |
"prevRank" |
|
61 |
], |
|
62 |
"as": [ |
|
63 |
"prevObj" |
|
64 |
] |
|
65 |
}, |
|
66 |
{ |
|
67 |
"type": "formula", |
|
68 |
"expr": "datum.prevObj == null ? data('range')[0].dateMin : (time(datum.prevObj.dateTime) + time(datum.dateTime)) / 2", |
|
69 |
"as": "tempDateStart" |
|
70 |
}, |
|
71 |
{ |
|
72 |
"type": "formula", |
|
73 |
"expr": "datum.nextObj == null ? data('range')[0].dateMax : (time(datum.nextObj.dateTime) + time(datum.dateTime)) / 2", |
|
74 |
"as": "tempDateEnd" |
|
75 |
}, |
|
76 |
{ |
|
77 |
"type": "formula", |
|
78 |
"expr": "(datum.tempDateEnd - datum.tempDateStart) * 0.05", |
|
79 |
"as": "tempDateToAdd" |
|
80 |
}, |
|
81 |
{ |
|
82 |
"type": "formula", |
|
83 |
"expr": "datum.tempDateStart + datum.tempDateToAdd", |
|
84 |
"as": "dateStart" |
|
85 |
}, |
|
86 |
{ |
|
87 |
"type": "formula", |
|
88 |
"expr": "datum.tempDateEnd - datum.tempDateToAdd", |
|
89 |
"as": "dateEnd" |
|
34 | 90 |
} |
35 | 91 |
] |
36 | 92 |
} |
... | ... | |
47 | 103 |
0 |
48 | 104 |
], |
49 | 105 |
"domain": { |
50 |
"data": "table", |
|
51 |
"field": "value" |
|
106 |
"fields": [ |
|
107 |
{"data": "range", "field": "valueMax"}, |
|
108 |
{"data": "table", "field": "value"} |
|
109 |
] |
|
52 | 110 |
}, |
53 | 111 |
"nice": true, |
54 | 112 |
"zero": true |
... | ... | |
67 | 125 |
{ |
68 | 126 |
"type": "rect", |
69 | 127 |
"from": { |
70 |
"data": "table"
|
|
128 |
"data": "lookup"
|
|
71 | 129 |
}, |
72 | 130 |
"encode": { |
73 | 131 |
"enter": { |
74 | 132 |
"tooltip": { |
75 |
"signal": "{title: timeFormat(datum.dateTime, '%A, %e. %B %Y, %X') }" |
|
133 |
"signal": "{title: timeFormat(datum.dateTime, '%A, %e. %B %Y, %X') , 'value': datum.value + 'mm', 'gid': datum.gid }"
|
|
76 | 134 |
} |
77 | 135 |
}, |
78 | 136 |
"update": { |
79 | 137 |
"x": { |
80 | 138 |
"scale": "xDetail", |
81 |
"field": "barStart"
|
|
139 |
"field": "dateStart"
|
|
82 | 140 |
}, |
83 | 141 |
"x2": { |
84 | 142 |
"scale": "xDetail", |
85 |
"field": "barEnd"
|
|
143 |
"field": "dateEnd"
|
|
86 | 144 |
}, |
87 | 145 |
"y": { |
88 | 146 |
"scale": "yDetail", |
89 |
"field": "avg"
|
|
147 |
"field": "value"
|
|
90 | 148 |
}, |
91 | 149 |
"y2": { |
92 | 150 |
"scale": "yDetail", |
... | ... | |
129 | 187 |
} |
130 | 188 |
] |
131 | 189 |
} |
190 |
], |
|
191 |
"marks": [ |
|
192 |
{}, |
|
193 |
{}, |
|
194 |
{}, |
|
195 |
{ |
|
196 |
"type": "rect", |
|
197 |
"from": { |
|
198 |
"data": "lookup" |
|
199 |
}, |
|
200 |
"encode": { |
|
201 |
"update": { |
|
202 |
"x": { |
|
203 |
"scale": "xOverview", |
|
204 |
"field": "dateStart" |
|
205 |
}, |
|
206 |
"x2": { |
|
207 |
"scale": "xOverview", |
|
208 |
"field": "dateEnd" |
|
209 |
}, |
|
210 |
"y": { |
|
211 |
"scale": "yOverview", |
|
212 |
"field": "value" |
|
213 |
}, |
|
214 |
"y2": { |
|
215 |
"scale": "yOverview", |
|
216 |
"value": 0 |
|
217 |
}, |
|
218 |
"color": { |
|
219 |
"value": "both" |
|
220 |
}, |
|
221 |
"fill": { |
|
222 |
"value": "steelBlue" |
|
223 |
} |
|
224 |
} |
|
225 |
} |
|
226 |
} |
|
132 | 227 |
] |
133 | 228 |
} |
134 | 229 |
] |
src/vega/body/linechart.json | ||
---|---|---|
4 | 4 |
{}, |
5 | 5 |
{}, |
6 | 6 |
{}, |
7 |
{}, |
|
7 | 8 |
{ |
8 | 9 |
"name": "ranks", |
9 | 10 |
"source": "table", |
... | ... | |
28 | 29 |
"type": "formula", |
29 | 30 |
"expr": "datum.rank + 1", |
30 | 31 |
"as": "nextRank" |
32 |
}, |
|
33 |
{ |
|
34 |
"type": "formula", |
|
35 |
"expr": "datum.rank - 1", |
|
36 |
"as": "prevRank" |
|
31 | 37 |
} |
32 | 38 |
] |
33 | 39 |
}, |
... | ... | |
37 | 43 |
"transform": [ |
38 | 44 |
{ |
39 | 45 |
"type": "lookup", |
40 |
"from": "table",
|
|
46 |
"from": "ranks",
|
|
41 | 47 |
"key": "rank", |
42 | 48 |
"fields": [ |
43 | 49 |
"nextRank" |
... | ... | |
48 | 54 |
}, |
49 | 55 |
{ |
50 | 56 |
"type": "lookup", |
51 |
"from": "table",
|
|
57 |
"from": "ranks",
|
|
52 | 58 |
"key": "rank", |
53 | 59 |
"fields": [ |
54 | 60 |
"prevRank" |
... | ... | |
77 | 83 |
], |
78 | 84 |
|
79 | 85 |
"signals": [ |
80 |
{}, |
|
81 | 86 |
{}, |
82 | 87 |
{ |
83 | 88 |
"name": "tooltipSignal", |
src/vega/body/multilinechart.json | ||
---|---|---|
1 | 1 |
{ |
2 | 2 |
"data": [ |
3 |
{}, |
|
3 | 4 |
{}, |
4 | 5 |
{ |
5 | 6 |
"transform": [ |
... | ... | |
26 | 27 |
}, |
27 | 28 |
{ |
28 | 29 |
"signal": "sensorPath" |
29 |
}, |
|
30 |
{ |
|
31 |
"signal": "axeLegendPath" |
|
32 |
}, |
|
33 |
{ |
|
34 |
"signal": "axeLegendUnit" |
|
35 | 30 |
} |
36 | 31 |
], |
37 | 32 |
"as": [ |
38 | 33 |
"value", |
39 | 34 |
"timestamp", |
40 |
"sensor", |
|
41 |
"axeLegend", |
|
42 |
"axeUnit" |
|
35 |
"sensor" |
|
43 | 36 |
] |
44 | 37 |
} |
45 | 38 |
] |
... | ... | |
191 | 184 |
} |
192 | 185 |
], |
193 | 186 |
"signals": [ |
194 |
{}, |
|
195 | 187 |
{}, |
196 | 188 |
{ |
197 | 189 |
"name": "tooltipSignal", |
... | ... | |
269 | 261 |
{}, |
270 | 262 |
{ |
271 | 263 |
"orient": "left", |
272 |
"scale": "yDetail", |
|
273 |
"grid": true, |
|
274 |
"title": {"signal": "data('table')[0].axeLegend"}, |
|
275 |
"encode": { |
|
276 |
"labels": { |
|
277 |
"update": { |
|
278 |
"text": {"signal": "datum.value + ' ' + data('table')[0].axeUnit"} |
|
279 |
} |
|
280 |
} |
|
281 |
} |
|
264 |
"scale": "yDetail" |
|
282 | 265 |
} |
283 | 266 |
], |
284 | 267 |
"marks": [ |
src/vega/body/windchart.json | ||
---|---|---|
1 | 1 |
{ |
2 | 2 |
"signals": [ |
3 |
{}, |
|
4 | 3 |
{ |
5 | 4 |
"name": "detailDomain", |
6 |
"update": "[time(data('range')[0].dateMin), time(data('range')[0].dateMin) + ((timeStep * 1000) * arrowCount)] " |
|
7 |
}, |
|
8 |
{ |
|
9 |
"name": "arrowCount", |
|
10 |
"value": 25 |
|
5 |
"update": "[time(data('range')[0].dateMin), time(data('range')[0].dateMin) + (timeWindow * arrowCount)] " |
|
11 | 6 |
}, |
12 | 7 |
{ |
13 | 8 |
"name": "minMaxRange", |
... | ... | |
15 | 10 |
}, |
16 | 11 |
{ |
17 | 12 |
"name": "selectionWidth", |
18 |
"update": "floor((arrowCount * (timeStep * 1000) * width) / minMaxRange)"
|
|
13 |
"update": "floor((arrowCount * timeWindow * width) / minMaxRange)"
|
|
19 | 14 |
} |
20 | 15 |
|
21 | 16 |
], |
... | ... | |
45 | 40 |
"value": "arrow" |
46 | 41 |
}, |
47 | 42 |
"size": { |
48 |
"value": 500
|
|
43 |
"value": 700
|
|
49 | 44 |
}, |
50 | 45 |
"x": { |
51 | 46 |
"scale": "xDetail", |
52 | 47 |
"field": "dateTime" |
53 | 48 |
}, |
54 | 49 |
"y": { |
55 |
"value": 30
|
|
50 |
"signal": "detailHeight / 2"
|
|
56 | 51 |
}, |
57 | 52 |
"angle": { |
58 |
"field": "avg"
|
|
53 |
"field": "value"
|
|
59 | 54 |
}, |
60 | 55 |
"color": { |
61 | 56 |
"value": "both" |
... | ... | |
78 | 73 |
{ |
79 | 74 |
"update": "[0,selectionWidth]" |
80 | 75 |
} |
76 |
], |
|
77 |
"marks": [ |
|
78 |
{}, |
|
79 |
{}, |
|
80 |
{}, |
|
81 |
{ |
|
82 |
"type": "symbol", |
|
83 |
"from": { |
|
84 |
"data": "table" |
|
85 |
}, |
|
86 |
"encode": { |
|
87 |
"update": { |
|
88 |
"size": { |
|
89 |
"value": 10 |
|
90 |
}, |
|
91 |
"x": { |
|
92 |
"scale": "xOverview", |
|
93 |
"field": "dateTime" |
|
94 |
}, |
|
95 |
"y": { |
|
96 |
"signal": "overviewHeight / 2" |
|
97 |
}, |
|
98 |
"color": { |
|
99 |
"value": "both" |
|
100 |
}, |
|
101 |
"strokeWidth": { |
|
102 |
"value": 1 |
|
103 |
}, |
|
104 |
"fill": { |
|
105 |
"value": "steelblue" |
|
106 |
} |
|
107 |
} |
|
108 |
} |
|
109 |
} |
|
81 | 110 |
] |
82 | 111 |
} |
83 | 112 |
] |
src/vega/config/config-barline.json | ||
---|---|---|
1 |
{ |
|
2 |
"signals": [ |
|
3 |
{"name": "detailHeight", "value": 390}, |
|
4 |
{"name": "overviewHeightStart", "value" : 430} |
|
5 |
] |
|
6 |
} |
src/vega/config/config-multiline.json | ||
---|---|---|
3 | 3 |
{"name": "dataPath", "value": "data"}, |
4 | 4 |
{"name": "valuePath", "value": "data.value"}, |
5 | 5 |
{"name": "timestampPath", "value": "data.time"}, |
6 |
{"name": "sensorPath", "value": "sensor.sensorName"}, |
|
7 |
{"name": "axeLegendPath", "value": "sensor.phenomenon.phenomenonName"}, |
|
8 |
{"name": "axeLegendUnit", "value": "sensor.phenomenon.unit"} |
|
6 |
{"name": "sensorPath", "value": "sensor.sensorName"} |
|
9 | 7 |
] |
10 | 8 |
} |
src/vega/config/config-wind.json | ||
---|---|---|
1 |
{ |
|
2 |
"signals": [ |
|
3 |
{"name": "detailHeight", "value": 100}, |
|
4 |
{"name": "overviewHeightStart", "value" : 140}, |
|
5 |
{"name": "arrowCount", "value": 20} |
|
6 |
] |
|
7 |
} |
src/vega/config/config.json | ||
---|---|---|
1 | 1 |
{ |
2 | 2 |
"$schema": "https://vega.github.io/schema/vega/v5.json", |
3 | 3 |
"width": 800, |
4 |
"height": 200, |
|
5 |
"padding": 5, |
|
4 |
"height": 300, |
|
6 | 5 |
"signals": [ |
7 |
{"name": "detailHeight", "value": 390}, |
|
8 | 6 |
{"name": "overviewHeight", "value": 70}, |
9 |
{"name": "overviewHeightStart", "value" : 430}, |
|
10 |
{"name": "maxTimeDifference", "value": 10000000} |
|
7 |
{"name": "maxTimeDifference", "value": 10000000}, |
|
8 |
{"name": "axeLegendPath", "value": "phenomenon.phenomenonName"}, |
|
9 |
{"name": "axeUnitPath", "value": "phenomenon.unit"}, |
|
10 |
{"name": "timeWindow", "value": 1800000} |
|
11 | 11 |
] |
12 | 12 |
} |
src/vega/miscs/legend.json | ||
---|---|---|
1 |
{ |
|
2 |
"data": [ |
|
3 |
{ |
|
4 |
"transform": [ |
|
5 |
{ |
|
6 |
"type": "project", |
|
7 |
"fields": [ |
|
8 |
{ |
|
9 |
"signal": "axeLegendPath" |
|
10 |
}, |
|
11 |
{ |
|
12 |
"signal": "axeUnitPath" |
|
13 |
} |
|
14 |
], |
|
15 |
"as": [ |
|
16 |
"axeLegend", |
|
17 |
"axeUnit" |
|
18 |
] |
|
19 |
} |
|
20 |
] |
|
21 |
} |
|
22 |
], |
|
23 |
"marks": [ |
|
24 |
{ |
|
25 |
"axes": [ |
|
26 |
{}, |
|
27 |
{ |
|
28 |
"grid": true, |
|
29 |
"title": {"signal": "data('legend')[0].axeLegend"}, |
|
30 |
"encode": { |
|
31 |
"labels": { |
|
32 |
"update": { |
|
33 |
"text": {"signal": "datum.value + ' ' + data('legend')[0].axeUnit"} |
|
34 |
} |
|
35 |
} |
|
36 |
} |
|
37 |
} |
|
38 |
] |
|
39 |
} |
|
40 |
] |
|
41 |
} |
src/vega/miscs/multiline-tooltip.json | ||
---|---|---|
1 |
{ |
|
2 |
"marks": [ |
|
3 |
{ |
|
4 |
"marks": [ |
|
5 |
{ |
|
6 |
"marks": [ |
|
7 |
{ |
|
8 |
"marks": [ |
|
9 |
{}, |
|
10 |
{}, |
|
11 |
{ |
|
12 |
"encode": { |
|
13 |
"enter": { |
|
14 |
"tooltip": { |
|
15 |
"signal": null |
|
16 |
} |
|
17 |
} |
|
18 |
} |
|
19 |
} |
|
20 |
] |
|
21 |
} |
|
22 |
] |
|
23 |
} |
|
24 |
] |
|
25 |
} |
|
26 |
] |
|
27 |
} |
src/vega/miscs/samm-tooltip.json | ||
---|---|---|
1 |
{ |
|
2 |
"data": [ |
|
3 |
{}, |
|
4 |
{}, |
|
5 |
{}, |
|
6 |
{ |
|
7 |
"transform": [ |
|
8 |
{ |
|
9 |
"fields": [ |
|
10 |
{"signal" : "valuePath"}, |
|
11 |
{"signal": "timestampPath"}, |
|
12 |
"sum", |
|
13 |
"avg", |
|
14 |
"min", |
|
15 |
"max" |
|
16 |
|
|
17 |
], |
|
18 |
"as": [ |
|
19 |
"value", |
|
20 |
"timestamp", |
|
21 |
"sum", |
|
22 |
"avg", |
|
23 |
"min", |
|
24 |
"max" |
|
25 |
] |
|
26 |
} |
|
27 |
] |
|
28 |
} |
|
29 |
], |
|
30 |
"marks": [ |
|
31 |
{ |
|
32 |
"marks": [ |
|
33 |
{ |
|
34 |
"marks": [ |
|
35 |
{ |
|
36 |
"encode": { |
|
37 |
"enter": { |
|
38 |
"tooltip": { |
|
39 |
"signal": null |
|
40 |
}} |
|
41 |
} |
|
42 |
|
|
43 |
|
|
44 |
} |
|
45 |
] |
|
46 |
} |
|
47 |
] |
|
48 |
} |
|
49 |
] |
|
50 |
} |
src/vega/miscs/value-tooltip.json | ||
---|---|---|
1 |
{ |
|
2 |
"data": [ |
|
3 |
{}, |
|
4 |
{}, |
|
5 |
{}, |
|
6 |
{ |
|
7 |
"transform": [ |
|
8 |
{ |
|
9 |
"fields": [ |
|
10 |
{"signal" : "valuePath"}, |
|
11 |
{"signal": "timestampPath"}, |
|
12 |
{"signal": "gidPath"} |
|
13 |
], |
|
14 |
"as": [ |
|
15 |
"value", |
|
16 |
"timestamp", |
|
17 |
"gid" |
|
18 |
] |
|
19 |
} |
|
20 |
] |
|
21 |
} |
|
22 |
], |
|
23 |
"marks": [ |
|
24 |
{ |
|
25 |
"marks": [ |
|
26 |
{ |
|
27 |
"marks": [ |
|
28 |
{ |
|
29 |
"encode": { |
|
30 |
"enter": { |
|
31 |
"tooltip": { |
|
32 |
"signal": null |
|
33 |
}} |
|
34 |
} |
|
35 |
|
|
36 |
|
|
37 |
} |
|
38 |
] |
|
39 |
} |
|
40 |
] |
|
41 |
} |
|
42 |
] |
|
43 |
} |
src/vega/tooltip/multiline-tooltip.json | ||
---|---|---|
1 |
{ |
|
2 |
"marks": [ |
|
3 |
{ |
|
4 |
"marks": [ |
|
5 |
{ |
|
6 |
"marks": [ |
|
7 |
{ |
|
8 |
"marks": [ |
|
9 |
{}, |
|
10 |
{}, |
|
11 |
{ |
|
12 |
"encode": { |
|
13 |
"enter": { |
|
14 |
"tooltip": { |
|
15 |
"signal": null |
|
16 |
} |
|
17 |
} |
|
18 |
} |
|
19 |
} |
|
20 |
] |
|
21 |
} |
|
22 |
] |
|
23 |
} |
|
24 |
] |
|
25 |
} |
|
26 |
] |
|
27 |
} |
src/vega/tooltip/samm-tooltip.json | ||
---|---|---|
1 |
{ |
|
2 |
"data": [ |
|
3 |
{}, |
|
4 |
{}, |
|
5 |
{ |
|
6 |
"transform": [ |
|
7 |
{ |
|
8 |
"fields": [ |
|
9 |
{"signal" : "valuePath"}, |
|
10 |
{"signal": "timestampPath"}, |
|
11 |
"sum", |
|
12 |
"avg", |
|
13 |
"min", |
|
14 |
"max" |
|
15 |
|
|
16 |
], |
|
17 |
"as": [ |
|
18 |
"value", |
|
19 |
"timestamp", |
|
20 |
"sum", |
|
21 |
"avg", |
|
22 |
"min", |
|
23 |
"max" |
|
24 |
] |
|
25 |
} |
|
26 |
] |
|
27 |
} |
|
28 |
], |
|
29 |
"marks": [ |
|
30 |
{ |
|
31 |
"marks": [ |
|
32 |
{ |
|
33 |
"marks": [ |
|
34 |
{ |
|
35 |
"encode": { |
|
36 |
"enter": { |
|
37 |
"tooltip": { |
|
38 |
"signal": "{title: timeFormat(datum.dateTime, '%A, %e. %B %Y, %X') , 'avg': datum.avg, 'sum': datum.sum, 'max': datum.max, 'min': datum.min }" |
|
39 |
}} |
|
40 |
} |
|
41 |
|
|
42 |
|
|
43 |
} |
|
44 |
] |
|
45 |
} |
|
46 |
] |
|
47 |
} |
|
48 |
] |
|
49 |
} |
src/vega/tooltip/value-tooltip.json | ||
---|---|---|
1 |
{ |
|
2 |
"data": [ |
|
3 |
{}, |
|
4 |
{}, |
|
5 |
{ |
|
6 |
"transform": [ |
|
7 |
{ |
|
8 |
"fields": [ |
|
9 |
{"signal" : "valuePath"}, |
|
10 |
{"signal": "timestampPath"}, |
|
11 |
{"signal": "gidPath"} |
|
12 |
], |
|
13 |
"as": [ |
|
14 |
"value", |
|
15 |
"timestamp", |
|
16 |
"gid" |
|
17 |
] |
|
18 |
} |
|
19 |
] |
|
20 |
} |
|
21 |
], |
|
22 |
"marks": [ |
|
23 |
{ |
|
24 |
"marks": [ |
|
25 |
{ |
|
26 |
"marks": [ |
|
27 |
{ |
|
28 |
"encode": { |
|
29 |
"enter": { |
|
30 |
"tooltip": { |
|
31 |
"signal": "{title: timeFormat(datum.dateTime, '%A, %e. %B %Y, %X') , 'value': datum.value, 'gid': datum.gid }" |
|
32 |
}} |
|
33 |
} |
|
34 |
|
|
35 |
|
|
36 |
} |
|
37 |
] |
|
38 |
} |
|
39 |
] |
|
40 |
} |
|
41 |
] |
|
42 |
} |
Také k dispozici: Unified diff
Re #8775 - Agregovat grafy se stejným typem sensoru