TestData: Some simple small test data and first draft of what's new in v8 demo dashboard (#34731) (#34736)

* TestData: More test data

* Added v8 demo dashboard

(cherry picked from commit 6fb0560a84)

Co-authored-by: Torkel Ödegaard <torkel@grafana.org>
This commit is contained in:
Grot (@grafanabot) 2021-05-26 08:36:01 -04:00 committed by GitHub
parent 771013904a
commit ebe20d1998
No known key found for this signature in database
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9 changed files with 3111 additions and 59 deletions

File diff suppressed because it is too large Load Diff

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@ -22,24 +22,7 @@ func TestCSVFileScenario(t *testing.T) {
}
t.Run("loadCsvFile", func(t *testing.T) {
files := []string{"population_by_state.csv", "city_stats.csv"}
for _, name := range files {
t.Run("Should load file and convert to DataFrame", func(t *testing.T) {
frame, err := p.loadCsvFile(name)
require.NoError(t, err)
require.NotNil(t, frame)
dr := &backend.DataResponse{
Frames: data.Frames{frame},
}
err = experimental.CheckGoldenDataResponse(
filepath.Join("testdata", name+".golden.txt"), dr, true,
)
require.NoError(t, err)
})
}
files = []string{"simple", "mixed"}
files := []string{"simple", "mixed"}
for _, name := range files {
t.Run("Should load CSV Text: "+name, func(t *testing.T) {
filePath := filepath.Join("testdata", name+".csv")

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@ -1,17 +0,0 @@
🌟 This was machine generated. Do not edit. 🌟
Frame[0]
Name: city_stats.csv
Dimensions: 2 Fields by 2 Rows
+-----------------+------------------+
| Name: City | Name: Population |
| Labels: | Labels: |
| Type: []*string | Type: []*int64 |
+-----------------+------------------+
| Stockholm | 1000000 |
| New York | 13333300 |
+-----------------+------------------+
====== TEST DATA RESPONSE (arrow base64) ======
FRAME=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@ -1,18 +0,0 @@
🌟 This was machine generated. Do not edit. 🌟
Frame[0]
Name: population_by_state.csv
Dimensions: 4 Fields by 3 Rows
+-----------------+----------------+----------------+----------------+
| Name: State | Name: 2020 | Name: 2000 | Name: 1980 |
| Labels: | Labels: | Labels: | Labels: |
| Type: []*string | Type: []*int64 | Type: []*int64 | Type: []*int64 |
+-----------------+----------------+----------------+----------------+
| California | 39368078 | 33987977 | 23800800 |
| Texas | 29360759 | 20944499 | 14338208 |
| Florida | 21733312 | 16047515 | 9839835 |
+-----------------+----------------+----------------+----------------+
====== TEST DATA RESPONSE (arrow base64) ======
FRAME=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@ -8,7 +8,12 @@ export const CSVFileEditor = ({ onChange, query }: EditorProps) => {
onChange({ ...query, csvFileName: value });
};
const files = ['population_by_state.csv', 'city_stats.csv'].map((name) => ({ label: name, value: name }));
const files = [
'population_by_state.csv',
'gdp_per_capita.csv',
'js_libraries.csv',
'browser_marketshare.csv',
].map((name) => ({ label: name, value: name }));
return (
<InlineFieldRow>

26
public/testdata/browser_marketshare.csv vendored Normal file
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@ -0,0 +1,26 @@
Browser,Market share
IE,17.5
Chrome,50.27
Firefox,16.89
Safari,9.94
Opera,1.7
Android,1.32
360 Safe Browser,0.41
Maxthon,0.25
Sony PS3,0.04
Yandex Browser,0.36
Silk,0.23
Sogou Explorer,0.23
Mozilla,0.03
Chromium,0.13
AOL,0
QQ Browser,0.14
SeaMonkey,0.02
RockMelt,0
BlackBerry,0.01
Iron,0.01
Pale Moon,0.03
Flock,0
TheWorld,0.02
UC Browser,0.08
Other,0.38
1 Browser Market share
2 IE 17.5
3 Chrome 50.27
4 Firefox 16.89
5 Safari 9.94
6 Opera 1.7
7 Android 1.32
8 360 Safe Browser 0.41
9 Maxthon 0.25
10 Sony PS3 0.04
11 Yandex Browser 0.36
12 Silk 0.23
13 Sogou Explorer 0.23
14 Mozilla 0.03
15 Chromium 0.13
16 AOL 0
17 QQ Browser 0.14
18 SeaMonkey 0.02
19 RockMelt 0
20 BlackBerry 0.01
21 Iron 0.01
22 Pale Moon 0.03
23 Flock 0
24 TheWorld 0.02
25 UC Browser 0.08
26 Other 0.38

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@ -1,5 +0,0 @@
City, Population
Stockholm, 1000000
New York, 13333300
1 City Population
2 Stockholm 1000000
3 New York 13333300

230
public/testdata/gdp_per_capita.csv vendored Normal file
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@ -0,0 +1,230 @@
Country,GDP Per Capita
"Qatar",103900
"Liechtenstein",89400
"Bermuda",86000
"Macau",82400
"Luxembourg",81100
"Monaco",70700
"Singapore",61400
"Jersey",57000
"Norway",55900
"Falkland Islands (Islas Malvinas)",55400
"Brunei",55300
"Isle of Man",53800
"Hong Kong",52300
"United States",50700
"United Arab Emirates",49800
"Switzerland",46200
"Guernsey",44600
"Cayman Islands",43800
"Canada",43400
"Australia",43300
"Austria",43100
"Gibraltar",43000
"Netherlands",42900
"Ireland",42600
"British Virgin Islands",42300
"Sweden",41900
"Kuwait",40500
"Iceland",39900
"Germany",39700
"Taiwan",39400
"Belgium",38500
"Denmark",38300
"New Caledonia",37700
"United Kingdom",37500
"Greenland",37400
"Andorra",37200
"Finland",37000
"Japan",36900
"San Marino",36200
"France",36100
"European Union",35100
"Saint Pierre and Miquelon",34900
"Israel",32800
"Korea, South",32800
"Bahamas, The",31900
"Saudi Arabia",31800
"Spain",31100
"Italy",30600
"Faroe Islands",30500
"New Zealand",30200
"Oman",29600
"Bahrain",29200
"Turks and Caicos Islands",29100
"Slovenia",28700
"Guam",28700
"Czech Republic",27600
"Malta",27500
"Cyprus",27500
"Equatorial Guinea",26400
"Barbados",25800
"Seychelles",25600
"Aruba",25300
"Greece",24900
"Slovakia",24600
"Portugal",23800
"Estonia",22100
"French Polynesia",22000
"Lithuania",22000
"Poland",20900
"Trinidad and Tobago",20400
"Hungary",20000
"Chile",18700
"Latvia",18600
"Argentina",18400
"Antigua and Barbuda",18300
"Croatia",18100
"Russia",18000
"Malaysia",17200
"Botswana",17100
"Gabon",16800
"Saint Kitts and Nevis",16500
"Puerto Rico",16300
"Uruguay",16200
"Lebanon",16000
"Panama",15900
"Belarus",15900
"Mauritius",15800
"Mexico",15600
"Sint Maarten",15400
"Turkey",15200
"Curacao",15000
"Bulgaria",14500
"Virgin Islands",14500
"Dominica",14400
"Kazakhstan",14100
"Grenada",13900
"Venezuela",13800
"Northern Mariana Islands",13600
"Iran",13300
"Saint Lucia",13300
"Romania",13000
"Costa Rica",12800
"Suriname",12600
"Libya",12300
"Anguilla",12200
"Brazil",12100
"Saint Vincent and the Grenadines",12000
"Montenegro",12000
"South Africa",11600
"Colombia",11000
"Peru",10900
"Macedonia",10800
"Azerbaijan",10700
"Serbia",10600
"Palau",10500
"Thailand",10300
"Ecuador",10200
"Cuba",10200
"Timor-Leste",10000
"Tunisia",9900
"Dominican Republic",9800
"Maldives",9400
"China",9300
"Jamaica",9300
"Cook Islands",9100
"Belize",8900
"Turkmenistan",8900
"Marshall Islands",8800
"Montserrat",8500
"Bosnia and Herzegovina",8400
"Albania",8200
"Guyana",8100
"American Samoa",8000
"Namibia",7900
"Saint Helena, Ascension, and Tristan da Cunha",7800
"Tonga",7700
"El Salvador",7600
"Algeria",7600
"Ukraine",7500
"Micronesia, Federated States of",7500
"Iraq",7200
"Bhutan",6800
"Egypt",6700
"Angola",6500
"Samoa",6300
"Paraguay",6200
"Sri Lanka",6200
"Kiribati",6100
"Jordan",6100
"Georgia",6000
"Swaziland",5900
"Armenia",5900
"Niue",5800
"Mongolia",5500
"Morocco",5400
"Guatemala",5300
"Bolivia",5200
"Indonesia",5100
"Syria",5100
"Nauru",5000
"Vanuatu",5000
"Fiji",4900
"Honduras",4700
"Congo, Republic of the",4700
"Philippines",4500
"Nicaragua",4500
"Cape Verde",4200
"India",3900
"Wallis and Futuna",3800
"Vietnam",3600
"Uzbekistan",3600
"Moldova",3500
"Ghana",3400
"Tuvalu",3400
"Solomon Islands",3400
"Laos",3100
"Pakistan",2900
"West Bank",2900
"Papua New Guinea",2800
"Nigeria",2800
"Djibouti",2700
"Sudan",2600
"Western Sahara",2500
"Cambodia",2400
"Kyrgyzstan",2400
"Sao Tome and Principe",2400
"Cameroon",2400
"Yemen",2300
"Tajikistan",2300
"Mauritania",2200
"Lesotho",2200
"Senegal",2100
"Bangladesh",2100
"Chad",2000
"Gambia, The",1900
"Cote d'Ivoire",1800
"Korea, North",1800
"Kenya",1800
"Zambia",1700
"Benin",1700
"Tanzania",1600
"Rwanda",1500
"Burkina Faso",1400
"Uganda",1400
"Sierra Leone",1400
"Burma",1400
"Comoros",1300
"Haiti",1300
"Nepal",1300
"Ethiopia",1200
"Guinea-Bissau",1200
"Mozambique",1200
"Guinea",1100
"Afghanistan",1100
"Mali",1100
"Togo",1100
"South Sudan",1000
"Madagascar",1000
"Tokelau",1000
"Malawi",900
"Central African Republic",800
"Niger",800
"Eritrea",800
"Liberia",700
"Burundi",600
"Zimbabwe",600
"Somalia",600
"Congo, Democratic Republic of the",400
"Kosovo",0
1 Country GDP Per Capita
2 Qatar 103900
3 Liechtenstein 89400
4 Bermuda 86000
5 Macau 82400
6 Luxembourg 81100
7 Monaco 70700
8 Singapore 61400
9 Jersey 57000
10 Norway 55900
11 Falkland Islands (Islas Malvinas) 55400
12 Brunei 55300
13 Isle of Man 53800
14 Hong Kong 52300
15 United States 50700
16 United Arab Emirates 49800
17 Switzerland 46200
18 Guernsey 44600
19 Cayman Islands 43800
20 Canada 43400
21 Australia 43300
22 Austria 43100
23 Gibraltar 43000
24 Netherlands 42900
25 Ireland 42600
26 British Virgin Islands 42300
27 Sweden 41900
28 Kuwait 40500
29 Iceland 39900
30 Germany 39700
31 Taiwan 39400
32 Belgium 38500
33 Denmark 38300
34 New Caledonia 37700
35 United Kingdom 37500
36 Greenland 37400
37 Andorra 37200
38 Finland 37000
39 Japan 36900
40 San Marino 36200
41 France 36100
42 European Union 35100
43 Saint Pierre and Miquelon 34900
44 Israel 32800
45 Korea, South 32800
46 Bahamas, The 31900
47 Saudi Arabia 31800
48 Spain 31100
49 Italy 30600
50 Faroe Islands 30500
51 New Zealand 30200
52 Oman 29600
53 Bahrain 29200
54 Turks and Caicos Islands 29100
55 Slovenia 28700
56 Guam 28700
57 Czech Republic 27600
58 Malta 27500
59 Cyprus 27500
60 Equatorial Guinea 26400
61 Barbados 25800
62 Seychelles 25600
63 Aruba 25300
64 Greece 24900
65 Slovakia 24600
66 Portugal 23800
67 Estonia 22100
68 French Polynesia 22000
69 Lithuania 22000
70 Poland 20900
71 Trinidad and Tobago 20400
72 Hungary 20000
73 Chile 18700
74 Latvia 18600
75 Argentina 18400
76 Antigua and Barbuda 18300
77 Croatia 18100
78 Russia 18000
79 Malaysia 17200
80 Botswana 17100
81 Gabon 16800
82 Saint Kitts and Nevis 16500
83 Puerto Rico 16300
84 Uruguay 16200
85 Lebanon 16000
86 Panama 15900
87 Belarus 15900
88 Mauritius 15800
89 Mexico 15600
90 Sint Maarten 15400
91 Turkey 15200
92 Curacao 15000
93 Bulgaria 14500
94 Virgin Islands 14500
95 Dominica 14400
96 Kazakhstan 14100
97 Grenada 13900
98 Venezuela 13800
99 Northern Mariana Islands 13600
100 Iran 13300
101 Saint Lucia 13300
102 Romania 13000
103 Costa Rica 12800
104 Suriname 12600
105 Libya 12300
106 Anguilla 12200
107 Brazil 12100
108 Saint Vincent and the Grenadines 12000
109 Montenegro 12000
110 South Africa 11600
111 Colombia 11000
112 Peru 10900
113 Macedonia 10800
114 Azerbaijan 10700
115 Serbia 10600
116 Palau 10500
117 Thailand 10300
118 Ecuador 10200
119 Cuba 10200
120 Timor-Leste 10000
121 Tunisia 9900
122 Dominican Republic 9800
123 Maldives 9400
124 China 9300
125 Jamaica 9300
126 Cook Islands 9100
127 Belize 8900
128 Turkmenistan 8900
129 Marshall Islands 8800
130 Montserrat 8500
131 Bosnia and Herzegovina 8400
132 Albania 8200
133 Guyana 8100
134 American Samoa 8000
135 Namibia 7900
136 Saint Helena, Ascension, and Tristan da Cunha 7800
137 Tonga 7700
138 El Salvador 7600
139 Algeria 7600
140 Ukraine 7500
141 Micronesia, Federated States of 7500
142 Iraq 7200
143 Bhutan 6800
144 Egypt 6700
145 Angola 6500
146 Samoa 6300
147 Paraguay 6200
148 Sri Lanka 6200
149 Kiribati 6100
150 Jordan 6100
151 Georgia 6000
152 Swaziland 5900
153 Armenia 5900
154 Niue 5800
155 Mongolia 5500
156 Morocco 5400
157 Guatemala 5300
158 Bolivia 5200
159 Indonesia 5100
160 Syria 5100
161 Nauru 5000
162 Vanuatu 5000
163 Fiji 4900
164 Honduras 4700
165 Congo, Republic of the 4700
166 Philippines 4500
167 Nicaragua 4500
168 Cape Verde 4200
169 India 3900
170 Wallis and Futuna 3800
171 Vietnam 3600
172 Uzbekistan 3600
173 Moldova 3500
174 Ghana 3400
175 Tuvalu 3400
176 Solomon Islands 3400
177 Laos 3100
178 Pakistan 2900
179 West Bank 2900
180 Papua New Guinea 2800
181 Nigeria 2800
182 Djibouti 2700
183 Sudan 2600
184 Western Sahara 2500
185 Cambodia 2400
186 Kyrgyzstan 2400
187 Sao Tome and Principe 2400
188 Cameroon 2400
189 Yemen 2300
190 Tajikistan 2300
191 Mauritania 2200
192 Lesotho 2200
193 Senegal 2100
194 Bangladesh 2100
195 Chad 2000
196 Gambia, The 1900
197 Cote d'Ivoire 1800
198 Korea, North 1800
199 Kenya 1800
200 Zambia 1700
201 Benin 1700
202 Tanzania 1600
203 Rwanda 1500
204 Burkina Faso 1400
205 Uganda 1400
206 Sierra Leone 1400
207 Burma 1400
208 Comoros 1300
209 Haiti 1300
210 Nepal 1300
211 Ethiopia 1200
212 Guinea-Bissau 1200
213 Mozambique 1200
214 Guinea 1100
215 Afghanistan 1100
216 Mali 1100
217 Togo 1100
218 South Sudan 1000
219 Madagascar 1000
220 Tokelau 1000
221 Malawi 900
222 Central African Republic 800
223 Niger 800
224 Eritrea 800
225 Liberia 700
226 Burundi 600
227 Zimbabwe 600
228 Somalia 600
229 Congo, Democratic Republic of the 400
230 Kosovo 0

7
public/testdata/js_libraries.csv vendored Normal file
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@ -0,0 +1,7 @@
Library,Github Stars,Forks,Watchers
React.js,169000,34000,6700
Vue,184000,29100,6300
Angular,73400,19300,3200
JQuery,54900,20000,3300
Meteor,42400,5200,1700
Aurelia,11600,684,442
1 Library Github Stars Forks Watchers
2 React.js 169000 34000 6700
3 Vue 184000 29100 6300
4 Angular 73400 19300 3200
5 JQuery 54900 20000 3300
6 Meteor 42400 5200 1700
7 Aurelia 11600 684 442