├── LICENSE
├── README.md
├── covid19_affectedcountries.py
├── covid19_status.py
├── grafana_dashboard.json
├── grafana_dashboard.png
├── grafana_dashboard2.png
├── iban.csv
├── requirements.txt
├── zabbix
├── zabbix_template-pt_BR.xml
└── zabbix_template.xml
└── zabbix_template.png
/LICENSE:
--------------------------------------------------------------------------------
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/README.md:
--------------------------------------------------------------------------------
1 | # covid19-monitor
2 | Gets information involving CORONAVIRUS - COVID19 casualities and presents to JSON and Zabbix
3 |
4 | 
5 |
6 |
7 | ### Usage
8 |
9 | ```
10 | git@github.com:rickkbarbosa/covid9-monitor.git
11 | pip install -r requirements.txt
12 | ```
13 |
14 | ### To Zabbix
15 |
16 | Clone repository in a plase acessible by Zabbix (usually, /usr/lib/zabbix/externalscripts)
17 | install python requirements on requirements.txt
18 | Import template to zabbix dashboard (zabbix/zabbix_template.xml - Zabbix server 4.0 and above)
19 | Add template to a host
20 |
21 | 
22 |
23 |
24 | ## Additional adjustment on Zabbix 4.0.x versions :
25 |
26 | Zabbiux 4.0.x contains a limitation involving number of dependendant items.
27 | A proposed workaround was sugested by [@hardwareadictos](https://github.com/rickkbarbosa/covid9-monitor/issues/10):
28 |
29 | * Change _/usr/share/zabbix/include/defines.inc.php:define('ZBX_DEPENDENT_ITEM_MAX_COUNT', 999)_; to 2999.
30 |
31 |
32 | ### To grafana
33 |
34 |
35 | * Install Zabbix Plugin datasource by [Alexander Zobnin](https://grafana.com/grafana/plugins/alexanderzobnin-zabbix-app)
36 | * Install Worldmap Panel plugin(https://grafana.com/grafana/plugins/grafana-worldmap-panel/installation)
37 | * Install Polystat Grafana plugin(https://grafana.com/grafana/plugins/grafana-polystat-panel/installation)
38 | * Install Multistat Grafana plugin(https://grafana.com/grafana/plugins/michaeldmoore-multistat-panel)
39 | * Install Pie Chart plugin(https://grafana.com/grafana/plugins/grafana-piechart-panel)
40 | * Import dashboard _grafana_dashboard.json_ to grafana
41 | * Points your Zabbix datasource
42 |
43 | ### License
44 |
45 | See LICENSE
46 |
47 |
48 | ### Thanks
49 |
50 | * [Zabbix Brasil](https://t.me/ZabbixBrasil) , for reviews and help with cleanup/garbage collecting
51 | * Everaldo Santos Cabral, for Suggested applications organiztions and Zabbix 4.0 retro-compatible template
52 | * [MrBits](https://github.com/mrbitsdcf)
53 |
54 |
55 | ### Donate
56 |
57 |
58 | * [Paypal](https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=29JLND674CAGY¤cy_code=BRL)
59 |
60 | * 
--------------------------------------------------------------------------------
/covid19_affectedcountries.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python
2 | #===============================================================================
3 | # IDENTIFICATION DIVISION
4 | # ID SVN: $Id$
5 | # FILE: covid9_status.py
6 | # USAGE: $0
7 | # DESCRIPTION: Get Worldometers Coronavirus / Covid9 affected contry list
8 | # REQUIREMENTS: pandas (pip install pandas)
9 | # lxml (pip install lxml)
10 | # beautifulsoup4 (pip install beautifulsoup4)
11 | # BUGS: ---
12 | # NOTES: ---
13 | # TODO: ---
14 | # AUTHOR: Ricardo Barbosa, rickkbarbosa@live.com
15 | # COMPANY: ---
16 | # VERSION: 1.0
17 | # CREATED: 2020-Mar-10 08:57 BRT
18 | # REVISION: 2020-Mar-20 09:54 BRT
19 | #===============================================================================
20 |
21 | import sys
22 | import os
23 | import pandas as pd
24 | import json
25 | import re
26 | import requests
27 | from bs4 import BeautifulSoup
28 |
29 | if(sys.version_info.major>=3):
30 | import importlib
31 | importlib.reload(sys)
32 | else:
33 | reload(sys)
34 | sys.setdefaultencoding('utf8')
35 |
36 | here = os.path.dirname(os.path.abspath(__file__))
37 | url = 'https://www.worldometers.info/coronavirus/#countries'
38 | header = {"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36","X-Requested-With": "XMLHttpRequest"}
39 |
40 | r = requests.get(url, headers=header).text
41 | r = re.sub(r'.*(
.*?<\/table>).*', r'\1', r, flags=re.DOTALL)
42 | r = re.sub(r'.*?<\/tbody>', '', r, flags=re.DOTALL)
43 | r = re.sub(r'<.*?>', lambda g: g.group(0).upper(), r)
44 |
45 | # fix HTML multiple tbody
46 | soup = BeautifulSoup(r, "html.parser")
47 | for body in soup("tbody"):
48 | body.unwrap()
49 |
50 | df_countries = pd.read_html(str(soup), flavor="bs4")[0]
51 |
52 |
53 | df_iban = pd.read_csv("{}/{}".format(here, "iban.csv"))
54 | result = pd.merge(df_countries,df_iban,left_on='Country,Other',right_on='Country',how='inner')
55 |
56 | country_list = list()
57 | for index, row in result.iterrows():
58 | country_list.append({"{#COUNTRY_NAME}": row['Country,Other'],
59 | "{#COUNTRY_IBAN}": row['Alpha-3 code'] })
60 |
61 | data = json.dumps({"data": country_list}, indent=4)
62 |
63 | print(data)
64 |
--------------------------------------------------------------------------------
/covid19_status.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python
2 | #===============================================================================
3 | # IDENTIFICATION DIVISION
4 | # ID SVN: $Id$
5 | # FILE: covid9_status.py
6 | # USAGE: $0
7 | # DESCRIPTION: Get Worldometers Coronavirus / Covid9 data and print to JSON
8 | # REQUIREMENTS: pandas (pip install pandas)
9 | # lxml (pip install lxml)
10 | # beautifulsoup4 (pip install beautifulsoup4)
11 | # BUGS: ---
12 | # NOTES: ---
13 | # TODO: ---
14 | # AUTHOR: Ricardo Barbosa, rickkbarbosa@live.com
15 | # COMPANY: ---
16 | # VERSION: 1.0
17 | # CREATED: 2020-Mar-10 21:47 BRT
18 | # REVISION: 2020-Mar-20 09:33 BRT
19 | #===============================================================================
20 |
21 | import pandas as pd
22 | import requests
23 | import re
24 | from bs4 import BeautifulSoup
25 |
26 | url = 'https://www.worldometers.info/coronavirus/#countries'
27 | header = {"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36","X-Requested-With": "XMLHttpRequest"}
28 |
29 | r = requests.get(url, headers=header).text
30 | r = re.sub(r'.*(.*?<\/table>).*', r'\1', r, flags=re.DOTALL)
31 | r = re.sub(r'.*?<\/tbody>', '', r, flags=re.DOTALL)
32 | r = re.sub(r'<.*?>', lambda g: g.group(0).upper(), r)
33 |
34 |
35 | # fix HTML multiple tbody
36 | soup = BeautifulSoup(r, "html.parser")
37 | for body in soup("tbody"):
38 | body.unwrap()
39 |
40 | df = pd.read_html(str(soup), index_col=1, thousands=r',', flavor="bs4")[0]
41 | df = df.replace(regex=[r'\+', r'\,'], value='')
42 |
43 | df = df.fillna('0')
44 | df = df.to_json(orient='index')
45 |
46 | print(df)
47 |
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/grafana_dashboard.png:
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https://raw.githubusercontent.com/rickkbarbosa/covid9-monitor/a3f7f77cd644a43db6adbe643269bc450349c655/grafana_dashboard.png
--------------------------------------------------------------------------------
/grafana_dashboard2.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/rickkbarbosa/covid9-monitor/a3f7f77cd644a43db6adbe643269bc450349c655/grafana_dashboard2.png
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/iban.csv:
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1 | ,Country,Alpha-2 code,Alpha-3 code,Numeric
2 | 0,Afghanistan,AF,AFG,4
3 | 1,Åland Islands,AX,ALA,248
4 | 2,Albania,AL,ALB,8
5 | 3,Algeria,DZ,DZA,12
6 | 4,American Samoa,AS,ASM,16
7 | 5,Andorra,AD,AND,20
8 | 6,Angola,AO,AGO,24
9 | 7,Anguilla,AI,AIA,660
10 | 8,Antarctica,AQ,ATA,10
11 | 9,Antigua and Barbuda,AG,ATG,28
12 | 10,Argentina,AR,ARG,32
13 | 11,Armenia,AM,ARM,51
14 | 12,Aruba,AW,ABW,533
15 | 13,Australia,AU,AUS,36
16 | 14,Austria,AT,AUT,40
17 | 15,Azerbaijan,AZ,AZE,31
18 | 16,Bahamas (the),BS,BHS,44
19 | 17,Bahrain,BH,BHR,48
20 | 18,Bangladesh,BD,BGD,50
21 | 19,Barbados,BB,BRB,52
22 | 20,Belarus,BY,BLR,112
23 | 21,Belgium,BE,BEL,56
24 | 22,Belize,BZ,BLZ,84
25 | 23,Benin,BJ,BEN,204
26 | 24,Bermuda,BM,BMU,60
27 | 25,Bhutan,BT,BTN,64
28 | 26,Bolivia,BO,BOL,68
29 | 27,"Bonaire, Sint Eustatius and Saba",BQ,BES,535
30 | 28,Bosnia and Herzegovina,BA,BIH,70
31 | 29,Botswana,BW,BWA,72
32 | 30,Bouvet Island,BV,BVT,74
33 | 31,Brazil,BR,BRA,76
34 | 32,British Indian Ocean Territory (the),IO,IOT,86
35 | 33,Brunei,BN,BRN,96
36 | 34,Bulgaria,BG,BGR,100
37 | 35,Burkina Faso,BF,BFA,854
38 | 36,Burundi,BI,BDI,108
39 | 37,Cabo Verde,CV,CPV,132
40 | 38,Cambodia,KH,KHM,116
41 | 39,Cameroon,CM,CMR,120
42 | 40,Canada,CA,CAN,124
43 | 41,Cayman Islands,KY,CYM,136
44 | 42,Central African Republic (the),CF,CAF,140
45 | 43,Chad,TD,TCD,148
46 | 44,Chile,CL,CHL,152
47 | 45,China,CN,CHN,156
48 | 46,Christmas Island,CX,CXR,162
49 | 47,Cocos (Keeling) Islands (the),CC,CCK,166
50 | 48,Colombia,CO,COL,170
51 | 49,Comoros (the),KM,COM,174
52 | 50,Congo (the Democratic Republic of the),CD,COD,180
53 | 50,RDC,CD,COD,180
54 | 51,Congo (the),CG,COG,178
55 | 52,Cook Islands (the),CK,COK,184
56 | 53,Costa Rica,CR,CRI,188
57 | 54,Côte d'Ivoire,CI,CIV,384
58 | 55,Ivory Coast,CI,CIV,384
59 | 55,Croatia,HR,HRV,191
60 | 56,Cuba,CU,CUB,192
61 | 57,Curaçao,CW,CUW,531
62 | 58,Cyprus,CY,CYP,196
63 | 59,Czechia,CZ,CZE,203
64 | 60,Denmark,DK,DNK,208
65 | 61,Djibouti,DJ,DJI,262
66 | 62,Dominica,DM,DMA,212
67 | 63,Dominican Republic,DO,DOM,214
68 | 64,Ecuador,EC,ECU,218
69 | 65,Egypt,EG,EGY,818
70 | 66,El Salvador,SV,SLV,222
71 | 67,Equatorial Guinea,GQ,GNQ,226
72 | 68,Eritrea,ER,ERI,232
73 | 69,Estonia,EE,EST,233
74 | 70,Eswatini,SZ,SWZ,748
75 | 71,Ethiopia,ET,ETH,231
76 | 72,Falkland Islands (the) [Malvinas],FK,FLK,238
77 | 73,Faeroe Islands,FO,FRO,234
78 | 74,Fiji,FJ,FJI,242
79 | 75,Finland,FI,FIN,246
80 | 76,France,FR,FRA,250
81 | 77,French Guiana,GF,GUF,254
82 | 78,French Polynesia,PF,PYF,258
83 | 79,French Southern Territories (the),TF,ATF,260
84 | 80,Gabon,GA,GAB,266
85 | 81,Gambia (the),GM,GMB,270
86 | 82,Georgia,GE,GEO,268
87 | 83,Germany,DE,DEU,276
88 | 84,Ghana,GH,GHA,288
89 | 85,Gibraltar,GI,GIB,292
90 | 86,Greece,GR,GRC,300
91 | 87,Greenland,GL,GRL,304
92 | 88,Grenada,GD,GRD,308
93 | 89,Guadeloupe,GP,GLP,312
94 | 90,Guam,GU,GUM,316
95 | 91,Guatemala,GT,GTM,320
96 | 92,Guernsey,GG,GGY,831
97 | 93,Guinea,GN,GIN,324
98 | 94,Guinea-Bissau,GW,GNB,624
99 | 95,Guyana,GY,GUY,328
100 | 96,Haiti,HT,HTI,332
101 | 97,Heard Island and McDonald Islands,HM,HMD,334
102 | 98,Holy See (the),VA,VAT,336
103 | 99,Honduras,HN,HND,340
104 | 100,Hong Kong,HK,HKG,344
105 | 101,Hungary,HU,HUN,348
106 | 102,Iceland,IS,ISL,352
107 | 103,India,IN,IND,356
108 | 104,Indonesia,ID,IDN,360
109 | 105,Iran,IR,IRN,364
110 | 106,Iraq,IQ,IRQ,368
111 | 107,Ireland,IE,IRL,372
112 | 108,Isle of Man,IM,IMN,833
113 | 109,Israel,IL,ISR,376
114 | 110,Italy,IT,ITA,380
115 | 111,Jamaica,JM,JAM,388
116 | 112,Japan,JP,JPN,392
117 | 113,Channel Islands,JE,JEY,832
118 | 113,Jersey,JE,JEY,832
119 | 114,Jordan,JO,JOR,400
120 | 115,Kazakhstan,KZ,KAZ,398
121 | 116,Kenya,KE,KEN,404
122 | 117,Kiribati,KI,KIR,296
123 | 118,Korea (the Democratic People's Republic of),KP,PRK,408
124 | 119,Korea (the Republic of),KR,KOR,410
125 | 119,S. Korea,KR,KOR,410
126 | 120,Kuwait,KW,KWT,414
127 | 121,Kyrgyzstan,KG,KGZ,417
128 | 122,Lao People's Democratic Republic (the),LA,LAO,418
129 | 123,Latvia,LV,LVA,428
130 | 124,Lebanon,LB,LBN,422
131 | 125,Lesotho,LS,LSO,426
132 | 126,Liberia,LR,LBR,430
133 | 127,Libya,LY,LBY,434
134 | 128,Liechtenstein,LI,LIE,438
135 | 129,Lithuania,LT,LTU,440
136 | 130,Luxembourg,LU,LUX,442
137 | 131,Macao,MO,MAC,446
138 | 132,North Macedonia,MK,MKD,807
139 | 133,Madagascar,MG,MDG,450
140 | 134,Malawi,MW,MWI,454
141 | 135,Malaysia,MY,MYS,458
142 | 136,Maldives,MV,MDV,462
143 | 137,Mali,ML,MLI,466
144 | 138,Malta,MT,MLT,470
145 | 139,Marshall Islands (the),MH,MHL,584
146 | 140,Martinique,MQ,MTQ,474
147 | 141,Mauritania,MR,MRT,478
148 | 142,Mauritius,MU,MUS,480
149 | 143,Mayotte,YT,MYT,175
150 | 144,Mexico,MX,MEX,484
151 | 145,Micronesia (Federated States of),FM,FSM,583
152 | 146,Moldova,MD,MDA,498
153 | 147,Monaco,MC,MCO,492
154 | 148,Mongolia,MN,MNG,496
155 | 149,Montenegro,ME,MNE,499
156 | 150,Montserrat,MS,MSR,500
157 | 151,Morocco,MA,MAR,504
158 | 152,Mozambique,MZ,MOZ,508
159 | 153,Myanmar,MM,MMR,104
160 | 154,Namibia,,NAM,516
161 | 155,Nauru,NR,NRU,520
162 | 156,Nepal,NP,NPL,524
163 | 157,Netherlands,NL,NLD,528
164 | 158,New Caledonia,NC,NCL,540
165 | 159,New Zealand,NZ,NZL,554
166 | 160,Nicaragua,NI,NIC,558
167 | 161,Niger (the),NE,NER,562
168 | 162,Nigeria,NG,NGA,566
169 | 163,Niue,NU,NIU,570
170 | 164,Norfolk Island,NF,NFK,574
171 | 165,Northern Mariana Islands (the),MP,MNP,580
172 | 166,Norway,NO,NOR,578
173 | 167,Oman,OM,OMN,512
174 | 168,Pakistan,PK,PAK,586
175 | 169,Palau,PW,PLW,585
176 | 170,Palestine,PS,PSE,275
177 | 171,Panama,PA,PAN,591
178 | 172,Papua New Guinea,PG,PNG,598
179 | 173,Paraguay,PY,PRY,600
180 | 174,Peru,PE,PER,604
181 | 175,Philippines,PH,PHL,608
182 | 176,Pitcairn,PN,PCN,612
183 | 177,Poland,PL,POL,616
184 | 178,Portugal,PT,PRT,620
185 | 179,Puerto Rico,PR,PRI,630
186 | 180,Qatar,QA,QAT,634
187 | 181,Réunion,RE,REU,638
188 | 182,Romania,RO,ROU,642
189 | 183,Russia,RU,RUS,643
190 | 184,Rwanda,RW,RWA,646
191 | 185,Saint Barthélemy,BL,BLM,652
192 | 185,St. Barth,BL,BLM,652
193 | 186,"Saint Helena, Ascension and Tristan da Cunha",SH,SHN,654
194 | 187,Saint Kitts and Nevis,KN,KNA,659
195 | 188,Saint Lucia,LC,LCA,662
196 | 189,Saint Martin,MF,MAF,663
197 | 190,Saint Pierre and Miquelon,PM,SPM,666
198 | 191,Saint Vincent and the Grenadines,VC,VCT,670
199 | 191,St. Vincent Grenadines,VC,VCT,670
200 | 192,Samoa,WS,WSM,882
201 | 193,San Marino,SM,SMR,674
202 | 194,Sao Tome and Principe,ST,STP,678
203 | 195,Saudi Arabia,SA,SAU,682
204 | 196,Senegal,SN,SEN,686
205 | 197,Serbia,RS,SRB,688
206 | 198,Seychelles,SC,SYC,690
207 | 199,Sierra Leone,SL,SLE,694
208 | 200,Singapore,SG,SGP,702
209 | 201,Sint Maarten (Dutch part),SX,SXM,534
210 | 202,Slovakia,SK,SVK,703
211 | 203,Slovenia,SI,SVN,705
212 | 204,Solomon Islands,SB,SLB,90
213 | 205,Somalia,SO,SOM,706
214 | 206,South Africa,ZA,ZAF,710
215 | 207,South Georgia and the South Sandwich Islands,GS,SGS,239
216 | 208,Sudan,SS,SSD,728
217 | 209,Spain,ES,ESP,724
218 | 210,Sri Lanka,LK,LKA,144
219 | 211,Sudan (the),SD,SDN,729
220 | 212,Suriname,SR,SUR,740
221 | 213,Svalbard and Jan Mayen,SJ,SJM,744
222 | 214,Sweden,SE,SWE,752
223 | 215,Switzerland,CH,CHE,756
224 | 216,Syrian Arab Republic,SY,SYR,760
225 | 217,Taiwan,TW,TWN,158
226 | 218,Tajikistan,TJ,TJK,762
227 | 219,"Tanzania, United Republic of",TZ,TZA,834
228 | 220,Thailand,TH,THA,764
229 | 221,Timor-Leste,TL,TLS,626
230 | 222,Togo,TG,TGO,768
231 | 223,Tokelau,TK,TKL,772
232 | 224,Tonga,TO,TON,776
233 | 225,Trinidad and Tobago,TT,TTO,780
234 | 226,Tunisia,TN,TUN,788
235 | 227,Turkey,TR,TUR,792
236 | 228,Turkmenistan,TM,TKM,795
237 | 229,Turks and Caicos Islands (the),TC,TCA,796
238 | 230,Tuvalu,TV,TUV,798
239 | 231,Uganda,UG,UGA,800
240 | 232,Ukraine,UA,UKR,804
241 | 233,United Arab Emirates (the),AE,ARE,784
242 | 233,UAE,AE,ARE,784
243 | 234,United Kingdom of Great Britain and Northern Ireland (the),GB,GBR,826
244 | 234,UK,GB,GBR,826
245 | 234,United Kingdom,GB,GBR,826
246 | 235,United States Minor Outlying Islands (the),UM,UMI,581
247 | 236,United States of America (the),US,USA,840
248 | 236,USA,US,USA,840
249 | 237,Uruguay,UY,URY,858
250 | 238,Uzbekistan,UZ,UZB,860
251 | 238,Vatican City,VA,VAT,379
252 | 239,Vanuatu,VU,VUT,548
253 | 240,Venezuela,VE,VEN,862
254 | 241,VietNam,VN,VNM,704
255 | 242,Virgin Islands (British),VG,VGB,92
256 | 243,Virgin Islands (U.S.),VI,VIR,850
257 | 244,Wallis and Futuna,WF,WLF,876
258 | 245,Western Sahara,EH,ESH,732
259 | 246,Yemen,YE,YEM,887
260 | 247,Zambia,ZM,ZMB,894
261 | 248,Zimbabwe,ZW,ZWE,716
262 |
--------------------------------------------------------------------------------
/requirements.txt:
--------------------------------------------------------------------------------
1 | pandas
2 | lxml
3 | html5lib
4 | requests
5 | beautifulsoup4
--------------------------------------------------------------------------------
/zabbix/zabbix_template-pt_BR.xml:
--------------------------------------------------------------------------------
1 |
2 |
3 | 4.0
4 | 2020-03-13T18:17:30Z
5 |
6 |
7 | Templates/Applications
8 |
9 |
10 |
11 |
12 | Coronavirus - Monitoramento Covid-19
13 | Coronavirus - Monitoramento Covid-19
14 |
15 |
16 |
17 | Templates/Applications
18 |
19 |
20 |
21 |
22 | COVID19 Informações Gerais
23 |
24 |
25 |
26 | -
27 | Covid 19 - Total de Casos Ativos
28 | 18
29 |
30 |
31 | covid19.data[ActiveCases]
32 | 0
33 | 30d
34 | 365d
35 | 0
36 | 0
37 |
38 |
39 |
40 |
41 | 0
42 | 0
43 |
44 | 0
45 |
46 |
47 |
48 | 0
49 |
50 |
51 |
52 |
53 |
54 |
55 | 0
56 |
57 |
58 | COVID19 Informações Gerais
59 |
60 |
61 |
62 |
63 |
64 |
65 | 12
66 | $['Total:'].ActiveCases
67 |
68 |
69 |
70 | 3s
71 |
72 |
73 |
74 | 200
75 | 1
76 | 0
77 |
78 |
79 | 0
80 | 0
81 | 0
82 | 0
83 |
84 |
85 |
86 | 0
87 | 0
88 |
89 | covid19_status.py
90 |
91 |
92 | -
93 | Covid 19 - Total de Casos por Milhão de Habitantes
94 | 18
95 |
96 |
97 | covid19.data[CasesperMillion]
98 | 0
99 | 30d
100 | 365d
101 | 0
102 | 0
103 |
104 |
105 |
106 |
107 | 0
108 | 0
109 |
110 | 0
111 |
112 |
113 |
114 | 0
115 |
116 |
117 |
118 |
119 |
120 |
121 | 0
122 |
123 |
124 | COVID19 Informações Gerais
125 |
126 |
127 |
128 |
129 |
130 |
131 | 12
132 | $['Total:']['Tot Cases/1M pop']
133 |
134 |
135 |
136 | 3s
137 |
138 |
139 |
140 | 200
141 | 1
142 | 0
143 |
144 |
145 | 0
146 | 0
147 | 0
148 | 0
149 |
150 |
151 |
152 | 0
153 | 0
154 |
155 | covid19_status.py
156 |
157 |
158 | -
159 | Covid 19 - Total de Novos Casos
160 | 18
161 |
162 |
163 | covid19.data[NewCases]
164 | 0
165 | 30d
166 | 365d
167 | 0
168 | 0
169 |
170 |
171 |
172 |
173 | 0
174 | 0
175 |
176 | 0
177 |
178 |
179 |
180 | 0
181 |
182 |
183 |
184 |
185 |
186 |
187 | 0
188 |
189 |
190 | COVID19 Informações Gerais
191 |
192 |
193 |
194 |
195 |
196 |
197 | 12
198 | $['Total:'].NewCases
199 |
200 |
201 |
202 | 3s
203 |
204 |
205 |
206 | 200
207 | 1
208 | 0
209 |
210 |
211 | 0
212 | 0
213 | 0
214 | 0
215 |
216 |
217 |
218 | 0
219 | 0
220 |
221 | covid19_status.py
222 |
223 |
224 | -
225 | Covid 19 - Total de Novas Mortes
226 | 18
227 |
228 |
229 | covid19.data[NewDeaths]
230 | 0
231 | 30d
232 | 365d
233 | 0
234 | 0
235 |
236 |
237 |
238 |
239 | 0
240 | 0
241 |
242 | 0
243 |
244 |
245 |
246 | 0
247 |
248 |
249 |
250 |
251 |
252 |
253 | 0
254 |
255 |
256 | COVID19 Informações Gerais
257 |
258 |
259 |
260 |
261 |
262 |
263 | 12
264 | $['Total:'].NewDeaths
265 |
266 |
267 |
268 | 3s
269 |
270 |
271 |
272 | 200
273 | 1
274 | 0
275 |
276 |
277 | 0
278 | 0
279 | 0
280 | 0
281 |
282 |
283 |
284 | 0
285 | 0
286 |
287 | covid19_status.py
288 |
289 |
290 | -
291 | Covid 19 - Total de Casos Sérios e Críticos
292 | 18
293 |
294 |
295 | covid19.data[Serious]
296 | 0
297 | 30d
298 | 365d
299 | 0
300 | 0
301 |
302 |
303 |
304 |
305 | 0
306 | 0
307 |
308 | 0
309 |
310 |
311 |
312 | 0
313 |
314 |
315 |
316 |
317 |
318 |
319 | 0
320 |
321 |
322 | COVID19 Informações Gerais
323 |
324 |
325 |
326 |
327 |
328 |
329 | 12
330 | $['Total:']['Serious,Critical']
331 |
332 |
333 |
334 | 3s
335 |
336 |
337 |
338 | 200
339 | 1
340 | 0
341 |
342 |
343 | 0
344 | 0
345 | 0
346 | 0
347 |
348 |
349 |
350 | 0
351 | 0
352 |
353 | covid19_status.py
354 |
355 |
356 | -
357 | Covid 19 - Total de Casos
358 | 18
359 |
360 |
361 | covid19.data[TotalCases]
362 | 0
363 | 30d
364 | 365d
365 | 0
366 | 0
367 |
368 |
369 |
370 |
371 | 0
372 | 0
373 |
374 | 0
375 |
376 |
377 |
378 | 0
379 |
380 |
381 |
382 |
383 |
384 |
385 | 0
386 |
387 |
388 | COVID19 Informações Gerais
389 |
390 |
391 |
392 |
393 |
394 |
395 | 12
396 | $['Total:'].TotalCases
397 |
398 |
399 |
400 | 3s
401 |
402 |
403 |
404 | 200
405 | 1
406 | 0
407 |
408 |
409 | 0
410 | 0
411 | 0
412 | 0
413 |
414 |
415 |
416 | 0
417 | 0
418 |
419 | covid19_status.py
420 |
421 |
422 | -
423 | Covid 19 - Total de Mortes
424 | 18
425 |
426 |
427 | covid19.data[TotalDeaths]
428 | 0
429 | 30d
430 | 365d
431 | 0
432 | 0
433 |
434 |
435 |
436 |
437 | 0
438 | 0
439 |
440 | 0
441 |
442 |
443 |
444 | 0
445 |
446 |
447 |
448 |
449 |
450 |
451 | 0
452 |
453 |
454 | COVID19 Informações Gerais
455 |
456 |
457 |
458 |
459 |
460 |
461 | 12
462 | $['Total:'].TotalDeaths
463 |
464 |
465 |
466 | 3s
467 |
468 |
469 |
470 | 200
471 | 1
472 | 0
473 |
474 |
475 | 0
476 | 0
477 | 0
478 | 0
479 |
480 |
481 |
482 | 0
483 | 0
484 |
485 | covid19_status.py
486 |
487 |
488 | -
489 | Covid 19 - Total de Curados
490 | 18
491 |
492 |
493 | covid19.data[TotalRecovered]
494 | 0
495 | 30d
496 | 365d
497 | 0
498 | 0
499 |
500 |
501 |
502 |
503 | 0
504 | 0
505 |
506 | 0
507 |
508 |
509 |
510 | 0
511 |
512 |
513 |
514 |
515 |
516 |
517 | 0
518 |
519 |
520 | COVID19 Informações Gerais
521 |
522 |
523 |
524 |
525 |
526 |
527 | 12
528 | $['Total:'].TotalRecovered
529 |
530 |
531 |
532 | 3s
533 |
534 |
535 |
536 | 200
537 | 1
538 | 0
539 |
540 |
541 | 0
542 | 0
543 | 0
544 | 0
545 |
546 |
547 |
548 | 0
549 | 0
550 |
551 | covid19_status.py
552 |
553 |
554 | -
555 | Covid 19 Informações Completas
556 | 10
557 |
558 |
559 | covid19_status.py
560 | 30m
561 | 1d
562 | 0
563 | 0
564 | 4
565 |
566 |
567 |
568 |
569 | 0
570 | 0
571 |
572 | 0
573 |
574 |
575 |
576 | 0
577 |
578 |
579 |
580 |
581 |
582 |
583 | 0
584 |
585 |
586 | COVID19 Informações Gerais
587 |
588 |
589 |
590 |
591 |
592 |
593 | 3s
594 |
595 |
596 |
597 | 200
598 | 1
599 | 0
600 |
601 |
602 | 0
603 | 0
604 | 0
605 | 0
606 |
607 |
608 |
609 | 0
610 | 0
611 |
612 |
613 |
614 |
615 |
616 | COVID19 - Paises Afetados
617 | 10
618 |
619 |
620 | covid19_affectedcountries.py
621 | 1h
622 | 0
623 |
624 |
625 |
626 | 0
627 | 0
628 |
629 | 0
630 |
631 |
632 |
633 | 0
634 |
635 |
636 |
637 |
638 |
639 |
640 | 0
641 |
642 |
643 |
644 | 0d
645 |
646 |
647 |
648 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - Casos Ativos
649 | 18
650 |
651 |
652 | covid19.data[ActiveCases, "{#COUNTRY_NAME}"]
653 | 0
654 | 60d
655 | 365d
656 | 0
657 | 0
658 |
659 |
660 |
661 |
662 | 0
663 | 0
664 |
665 | 0
666 |
667 |
668 |
669 | 0
670 |
671 |
672 |
673 |
674 |
675 |
676 | 0
677 |
678 |
679 |
680 |
681 |
682 | 12
683 | $['{#COUNTRY_NAME}'].ActiveCases
684 |
685 |
686 |
687 | 3s
688 |
689 |
690 |
691 | 200
692 | 1
693 | 0
694 |
695 |
696 | 0
697 | 0
698 | 0
699 | 0
700 |
701 |
702 |
703 | 0
704 | 0
705 |
706 |
707 | Dados do País: {#COUNTRY_NAME}
708 |
709 |
710 |
711 | covid19_status.py
712 |
713 |
714 |
715 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - Total de Casos por Milhão de Habitantes
716 | 18
717 |
718 |
719 | covid19.data[CasesperMillion, {#COUNTRY_NAME}]
720 | 0
721 | 60d
722 | 365d
723 | 0
724 | 0
725 |
726 |
727 |
728 |
729 | 0
730 | 0
731 |
732 | 0
733 |
734 |
735 |
736 | 0
737 |
738 |
739 |
740 |
741 |
742 |
743 | 0
744 |
745 |
746 |
747 |
748 |
749 | 12
750 | $['{#COUNTRY_NAME}']['Tot Cases/1M pop']
751 |
752 |
753 |
754 | 3s
755 |
756 |
757 |
758 | 200
759 | 1
760 | 0
761 |
762 |
763 | 0
764 | 0
765 | 0
766 | 0
767 |
768 |
769 |
770 | 0
771 | 0
772 |
773 |
774 | Dados do País: {#COUNTRY_NAME}
775 |
776 |
777 |
778 | covid19_status.py
779 |
780 |
781 |
782 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - Novos Casos
783 | 18
784 |
785 |
786 | covid19.data[NewCases, "{#COUNTRY_NAME}"]
787 | 0
788 | 60d
789 | 365d
790 | 0
791 | 0
792 |
793 |
794 |
795 |
796 | 0
797 | 0
798 |
799 | 0
800 |
801 |
802 |
803 | 0
804 |
805 |
806 |
807 |
808 |
809 |
810 | 0
811 |
812 |
813 |
814 |
815 |
816 | 12
817 | $['{#COUNTRY_NAME}'].NewCases
818 |
819 |
820 |
821 | 3s
822 |
823 |
824 |
825 | 200
826 | 1
827 | 0
828 |
829 |
830 | 0
831 | 0
832 | 0
833 | 0
834 |
835 |
836 |
837 | 0
838 | 0
839 |
840 |
841 | Dados do País: {#COUNTRY_NAME}
842 |
843 |
844 |
845 | covid19_status.py
846 |
847 |
848 |
849 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - Novas Mortes
850 | 18
851 |
852 |
853 | covid19.data[NewDeaths, "{#COUNTRY_NAME}"]
854 | 0
855 | 60d
856 | 365d
857 | 0
858 | 0
859 |
860 |
861 |
862 |
863 | 0
864 | 0
865 |
866 | 0
867 |
868 |
869 |
870 | 0
871 |
872 |
873 |
874 |
875 |
876 |
877 | 0
878 |
879 |
880 |
881 |
882 |
883 | 12
884 | $['{#COUNTRY_NAME}'].NewDeaths
885 |
886 |
887 |
888 | 3s
889 |
890 |
891 |
892 | 200
893 | 1
894 | 0
895 |
896 |
897 | 0
898 | 0
899 | 0
900 | 0
901 |
902 |
903 |
904 | 0
905 | 0
906 |
907 |
908 | Dados do País: {#COUNTRY_NAME}
909 |
910 |
911 |
912 | covid19_status.py
913 |
914 |
915 |
916 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - Casos Sérios e Críticos
917 | 18
918 |
919 |
920 | covid19.data[Serious, "{#COUNTRY_NAME}"]
921 | 0
922 | 60d
923 | 365d
924 | 0
925 | 0
926 |
927 |
928 |
929 |
930 | 0
931 | 0
932 |
933 | 0
934 |
935 |
936 |
937 | 0
938 |
939 |
940 |
941 |
942 |
943 |
944 | 0
945 |
946 |
947 |
948 |
949 |
950 | 12
951 | $['{#COUNTRY_NAME}']['Serious,Critical']
952 |
953 |
954 |
955 | 3s
956 |
957 |
958 |
959 | 200
960 | 1
961 | 0
962 |
963 |
964 | 0
965 | 0
966 | 0
967 | 0
968 |
969 |
970 |
971 | 0
972 | 0
973 |
974 |
975 | Dados do País: {#COUNTRY_NAME}
976 |
977 |
978 |
979 | covid19_status.py
980 |
981 |
982 |
983 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - Total de Casos
984 | 15
985 |
986 |
987 | covid19.data[TotalCases, "{#COUNTRY_NAME}"]
988 | 30s
989 | 60d
990 | 365d
991 | 0
992 | 0
993 |
994 |
995 |
996 |
997 | 0
998 | 0
999 |
1000 | 0
1001 |
1002 | last("covid19.data[ActiveCases, \"Antigua and Barbuda\"]") + last("covid19.data[TotalDeaths, \"Antigua and Barbuda\"]") + last("covid19.data[TotalRecovered, \"Antigua and Barbuda\"]")
1003 |
1004 | 0
1005 |
1006 |
1007 |
1008 |
1009 |
1010 |
1011 | 0
1012 |
1013 |
1014 |
1015 |
1016 |
1017 | 3s
1018 |
1019 |
1020 |
1021 | 200
1022 | 1
1023 | 0
1024 |
1025 |
1026 | 0
1027 | 0
1028 | 0
1029 | 0
1030 |
1031 |
1032 |
1033 | 0
1034 | 0
1035 |
1036 |
1037 | Dados do País: {#COUNTRY_NAME}
1038 |
1039 |
1040 |
1041 |
1042 |
1043 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - Total de Mortes
1044 | 18
1045 |
1046 |
1047 | covid19.data[TotalDeaths, "{#COUNTRY_NAME}"]
1048 | 0
1049 | 60d
1050 | 365d
1051 | 0
1052 | 0
1053 |
1054 |
1055 |
1056 |
1057 | 0
1058 | 0
1059 |
1060 | 0
1061 |
1062 |
1063 |
1064 | 0
1065 |
1066 |
1067 |
1068 |
1069 |
1070 |
1071 | 0
1072 |
1073 |
1074 |
1075 |
1076 |
1077 | 12
1078 | $['{#COUNTRY_NAME}'].TotalDeaths
1079 |
1080 |
1081 |
1082 | 3s
1083 |
1084 |
1085 |
1086 | 200
1087 | 1
1088 | 0
1089 |
1090 |
1091 | 0
1092 | 0
1093 | 0
1094 | 0
1095 |
1096 |
1097 |
1098 | 0
1099 | 0
1100 |
1101 |
1102 | Dados do País: {#COUNTRY_NAME}
1103 |
1104 |
1105 |
1106 | covid19_status.py
1107 |
1108 |
1109 |
1110 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - Total de Curados
1111 | 18
1112 |
1113 |
1114 | covid19.data[TotalRecovered, "{#COUNTRY_NAME}"]
1115 | 0
1116 | 60d
1117 | 365d
1118 | 0
1119 | 0
1120 |
1121 |
1122 |
1123 |
1124 | 0
1125 | 0
1126 |
1127 | 0
1128 |
1129 |
1130 |
1131 | 0
1132 |
1133 |
1134 |
1135 |
1136 |
1137 |
1138 | 0
1139 |
1140 |
1141 |
1142 |
1143 |
1144 | 12
1145 | $['{#COUNTRY_NAME}'].TotalRecovered
1146 |
1147 |
1148 |
1149 | 3s
1150 |
1151 |
1152 |
1153 | 200
1154 | 1
1155 | 0
1156 |
1157 |
1158 | 0
1159 | 0
1160 | 0
1161 | 0
1162 |
1163 |
1164 |
1165 | 0
1166 | 0
1167 |
1168 |
1169 | Dados do País: {#COUNTRY_NAME}
1170 |
1171 |
1172 |
1173 | covid19_status.py
1174 |
1175 |
1176 |
1177 |
1178 |
1179 |
1180 | Dados Gerais do Coronavírus no País {#COUNTRY_NAME}
1181 | 900
1182 | 300
1183 | 0.0000
1184 | 100.0000
1185 | 1
1186 | 0
1187 | 0
1188 | 1
1189 | 0
1190 | 0.0000
1191 | 0.0000
1192 | 0
1193 | 0
1194 | 0
1195 | 0
1196 |
1197 |
1198 | 0
1199 | 0
1200 | 1A7C11
1201 | 0
1202 | 2
1203 | 0
1204 | -
1205 | Coronavirus - Monitoramento Covid-19
1206 | covid19.data[ActiveCases, "{#COUNTRY_NAME}"]
1207 |
1208 |
1209 |
1210 | 1
1211 | 0
1212 | F63100
1213 | 0
1214 | 2
1215 | 0
1216 | -
1217 | Coronavirus - Monitoramento Covid-19
1218 | covid19.data[NewCases, "{#COUNTRY_NAME}"]
1219 |
1220 |
1221 |
1222 | 2
1223 | 0
1224 | 2774A4
1225 | 0
1226 | 2
1227 | 0
1228 | -
1229 | Coronavirus - Monitoramento Covid-19
1230 | covid19.data[NewDeaths, "{#COUNTRY_NAME}"]
1231 |
1232 |
1233 |
1234 |
1235 |
1236 |
1237 |
1238 | 3s
1239 |
1240 |
1241 |
1242 | 200
1243 | 1
1244 | 0
1245 |
1246 |
1247 | 0
1248 | 0
1249 | 0
1250 |
1251 |
1252 |
1253 | 0
1254 | 0
1255 |
1256 |
1257 |
1258 |
1259 |
1260 |
1261 |
1262 |
1263 |
1264 |
1265 | Covid9 - Total Cases
1266 | 900
1267 | 200
1268 | 0.0000
1269 | 100.0000
1270 | 1
1271 | 1
1272 | 0
1273 | 1
1274 | 0
1275 | 0.0000
1276 | 0.0000
1277 | 0
1278 | 0
1279 | 0
1280 | 0
1281 |
1282 |
1283 | 0
1284 | 0
1285 | 1A7C11
1286 | 0
1287 | 2
1288 | 0
1289 | -
1290 | Coronavirus - Monitoramento Covid-19
1291 | covid19.data[ActiveCases]
1292 |
1293 |
1294 |
1295 | 1
1296 | 0
1297 | F63100
1298 | 0
1299 | 2
1300 | 0
1301 | -
1302 | Coronavirus - Monitoramento Covid-19
1303 | covid19.data[Serious]
1304 |
1305 |
1306 |
1307 | 2
1308 | 0
1309 | 2774A4
1310 | 0
1311 | 2
1312 | 0
1313 | -
1314 | Coronavirus - Monitoramento Covid-19
1315 | covid19.data[TotalRecovered]
1316 |
1317 |
1318 |
1319 | 3
1320 | 0
1321 | A54F10
1322 | 0
1323 | 2
1324 | 0
1325 | -
1326 | Coronavirus - Monitoramento Covid-19
1327 | covid19.data[TotalDeaths]
1328 |
1329 |
1330 |
1331 |
1332 |
1333 |
--------------------------------------------------------------------------------
/zabbix/zabbix_template.xml:
--------------------------------------------------------------------------------
1 |
2 |
3 | 4.0
4 | 2020-03-13T18:17:18Z
5 |
6 |
7 | Templates
8 |
9 |
10 |
11 |
12 | Template - Covid19
13 | Coronavirus - Covid19 monitoring
14 | Getting cases from worldometers.info and plotting on Zabbix
15 |
16 |
17 | Templates
18 |
19 |
20 |
21 |
22 | COVID19 General Info
23 |
24 |
25 | Covid Data
26 |
27 |
28 |
29 | -
30 | Covid 19 - Total of Active Cases
31 | 18
32 |
33 |
34 | covid19.data[ActiveCases]
35 | 0
36 | 30d
37 | 365d
38 | 0
39 | 0
40 |
41 |
42 |
43 |
44 | 0
45 | 0
46 |
47 | 0
48 |
49 |
50 |
51 | 0
52 |
53 |
54 |
55 |
56 |
57 |
58 | 0
59 |
60 |
61 | COVID19 General Info
62 |
63 |
64 |
65 |
66 |
67 |
68 | 12
69 | $['Total:'].ActiveCases
70 |
71 |
72 |
73 | 3s
74 |
75 |
76 |
77 | 200
78 | 1
79 | 0
80 |
81 |
82 | 0
83 | 0
84 | 0
85 | 0
86 |
87 |
88 |
89 | 0
90 | 0
91 |
92 | covid19_status.py
93 |
94 |
95 | -
96 | Covid 19 - Total Cases per 1M habitants
97 | 18
98 |
99 |
100 | covid19.data[CasesperMillion]
101 | 0
102 | 30d
103 | 365d
104 | 0
105 | 0
106 |
107 |
108 |
109 |
110 | 0
111 | 0
112 |
113 | 0
114 |
115 |
116 |
117 | 0
118 |
119 |
120 |
121 |
122 |
123 |
124 | 0
125 |
126 |
127 | COVID19 General Info
128 |
129 |
130 |
131 |
132 |
133 |
134 | 12
135 | $['Total:']['Tot Cases/1M pop']
136 |
137 |
138 |
139 | 3s
140 |
141 |
142 |
143 | 200
144 | 1
145 | 0
146 |
147 |
148 | 0
149 | 0
150 | 0
151 | 0
152 |
153 |
154 |
155 | 0
156 | 0
157 |
158 | covid19_status.py
159 |
160 |
161 | -
162 | Covid 19 - Total of New Cases
163 | 18
164 |
165 |
166 | covid19.data[NewCases]
167 | 0
168 | 30d
169 | 365d
170 | 0
171 | 0
172 |
173 |
174 |
175 |
176 | 0
177 | 0
178 |
179 | 0
180 |
181 |
182 |
183 | 0
184 |
185 |
186 |
187 |
188 |
189 |
190 | 0
191 |
192 |
193 | COVID19 General Info
194 |
195 |
196 |
197 |
198 |
199 |
200 | 12
201 | $['Total:'].NewCases
202 |
203 |
204 |
205 | 3s
206 |
207 |
208 |
209 | 200
210 | 1
211 | 0
212 |
213 |
214 | 0
215 | 0
216 | 0
217 | 0
218 |
219 |
220 |
221 | 0
222 | 0
223 |
224 | covid19_status.py
225 |
226 |
227 | -
228 | Covid 19 - Total of New Deaths
229 | 18
230 |
231 |
232 | covid19.data[NewDeaths]
233 | 0
234 | 30d
235 | 365d
236 | 0
237 | 0
238 |
239 |
240 |
241 |
242 | 0
243 | 0
244 |
245 | 0
246 |
247 |
248 |
249 | 0
250 |
251 |
252 |
253 |
254 |
255 |
256 | 0
257 |
258 |
259 | COVID19 General Info
260 |
261 |
262 |
263 |
264 |
265 |
266 | 12
267 | $['Total:'].NewDeaths
268 |
269 |
270 |
271 | 3s
272 |
273 |
274 |
275 | 200
276 | 1
277 | 0
278 |
279 |
280 | 0
281 | 0
282 | 0
283 | 0
284 |
285 |
286 |
287 | 0
288 | 0
289 |
290 | covid19_status.py
291 |
292 |
293 | -
294 | Covid 19 - Total of Serious,Critical Cases
295 | 18
296 |
297 |
298 | covid19.data[Serious]
299 | 0
300 | 30d
301 | 365d
302 | 0
303 | 0
304 |
305 |
306 |
307 |
308 | 0
309 | 0
310 |
311 | 0
312 |
313 |
314 |
315 | 0
316 |
317 |
318 |
319 |
320 |
321 |
322 | 0
323 |
324 |
325 | COVID19 General Info
326 |
327 |
328 |
329 |
330 |
331 |
332 | 12
333 | $['Total:']['Serious,Critical']
334 |
335 |
336 |
337 | 3s
338 |
339 |
340 |
341 | 200
342 | 1
343 | 0
344 |
345 |
346 | 0
347 | 0
348 | 0
349 | 0
350 |
351 |
352 |
353 | 0
354 | 0
355 |
356 | covid19_status.py
357 |
358 |
359 | -
360 | Covid 19 - Total Cases
361 | 18
362 |
363 |
364 | covid19.data[TotalCases]
365 | 0
366 | 30d
367 | 365d
368 | 0
369 | 0
370 |
371 |
372 |
373 |
374 | 0
375 | 0
376 |
377 | 0
378 |
379 |
380 |
381 | 0
382 |
383 |
384 |
385 |
386 |
387 |
388 | 0
389 |
390 |
391 | COVID19 General Info
392 |
393 |
394 |
395 |
396 |
397 |
398 | 12
399 | $['Total:'].TotalCases
400 |
401 |
402 |
403 | 3s
404 |
405 |
406 |
407 | 200
408 | 1
409 | 0
410 |
411 |
412 | 0
413 | 0
414 | 0
415 | 0
416 |
417 |
418 |
419 | 0
420 | 0
421 |
422 | covid19_status.py
423 |
424 |
425 | -
426 | Covid 19 - Total of Deaths
427 | 18
428 |
429 |
430 | covid19.data[TotalDeaths]
431 | 0
432 | 30d
433 | 365d
434 | 0
435 | 0
436 |
437 |
438 |
439 |
440 | 0
441 | 0
442 |
443 | 0
444 |
445 |
446 |
447 | 0
448 |
449 |
450 |
451 |
452 |
453 |
454 | 0
455 |
456 |
457 | COVID19 General Info
458 |
459 |
460 |
461 |
462 |
463 |
464 | 12
465 | $['Total:'].TotalDeaths
466 |
467 |
468 |
469 | 3s
470 |
471 |
472 |
473 | 200
474 | 1
475 | 0
476 |
477 |
478 | 0
479 | 0
480 | 0
481 | 0
482 |
483 |
484 |
485 | 0
486 | 0
487 |
488 | covid19_status.py
489 |
490 |
491 | -
492 | Covid 19 - Total Recovered
493 | 18
494 |
495 |
496 | covid19.data[TotalRecovered]
497 | 0
498 | 30d
499 | 365d
500 | 0
501 | 0
502 |
503 |
504 |
505 |
506 | 0
507 | 0
508 |
509 | 0
510 |
511 |
512 |
513 | 0
514 |
515 |
516 |
517 |
518 |
519 |
520 | 0
521 |
522 |
523 | COVID19 General Info
524 |
525 |
526 |
527 |
528 |
529 |
530 | 12
531 | $['Total:'].TotalRecovered
532 |
533 |
534 |
535 | 3s
536 |
537 |
538 |
539 | 200
540 | 1
541 | 0
542 |
543 |
544 | 0
545 | 0
546 | 0
547 | 0
548 |
549 |
550 |
551 | 0
552 | 0
553 |
554 | covid19_status.py
555 |
556 |
557 | -
558 | Covid 19 Full Info
559 | 10
560 |
561 |
562 | covid19_status.py
563 | 30m
564 | 1d
565 | 0
566 | 0
567 | 4
568 |
569 |
570 |
571 |
572 | 0
573 | 0
574 |
575 | 0
576 |
577 |
578 |
579 | 0
580 |
581 |
582 |
583 |
584 |
585 |
586 | 0
587 |
588 |
589 | COVID19 General Info
590 |
591 |
592 |
593 |
594 |
595 |
596 | 3s
597 |
598 |
599 |
600 | 200
601 | 1
602 | 0
603 |
604 |
605 | 0
606 | 0
607 | 0
608 | 0
609 |
610 |
611 |
612 | 0
613 | 0
614 |
615 |
616 |
617 |
618 |
619 | COVID19 - Affected Countries
620 | 10
621 |
622 |
623 | covid19_affectedcountries.py
624 | 1h
625 | 0
626 |
627 |
628 |
629 | 0
630 | 0
631 |
632 | 0
633 |
634 |
635 |
636 | 0
637 |
638 |
639 |
640 |
641 |
642 |
643 | 0
644 |
645 |
646 |
647 | 0d
648 |
649 |
650 |
651 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - ActiveCases
652 | 18
653 |
654 |
655 | covid19.data[ActiveCases, "{#COUNTRY_NAME}"]
656 | 0
657 | 90d
658 | 365d
659 | 0
660 | 0
661 |
662 |
663 |
664 |
665 | 0
666 | 0
667 |
668 | 0
669 |
670 |
671 |
672 | 0
673 |
674 |
675 |
676 |
677 |
678 |
679 | 0
680 |
681 |
682 | Covid Data
683 |
684 |
685 |
686 |
687 |
688 |
689 | 12
690 | $['{#COUNTRY_NAME}'].ActiveCases
691 |
692 |
693 |
694 | 3s
695 |
696 |
697 |
698 | 200
699 | 1
700 | 0
701 |
702 |
703 | 0
704 | 0
705 | 0
706 | 0
707 |
708 |
709 |
710 | 0
711 | 0
712 |
713 |
714 | Country Data: {#COUNTRY_NAME}
715 |
716 |
717 |
718 | covid19_status.py
719 |
720 |
721 |
722 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - Cases per Million habitants
723 | 18
724 |
725 |
726 | covid19.data[CasesperMillion, "{#COUNTRY_NAME}"]
727 | 0
728 | 90d
729 | 365d
730 | 0
731 | 0
732 |
733 |
734 |
735 |
736 | 0
737 | 0
738 |
739 | 0
740 |
741 |
742 |
743 | 0
744 |
745 |
746 |
747 |
748 |
749 |
750 | 0
751 |
752 |
753 | Covid Data
754 |
755 |
756 |
757 |
758 |
759 |
760 | 12
761 | $['{#COUNTRY_NAME}']['Tot Cases/1M pop']
762 |
763 |
764 |
765 | 3s
766 |
767 |
768 |
769 | 200
770 | 1
771 | 0
772 |
773 |
774 | 0
775 | 0
776 | 0
777 | 0
778 |
779 |
780 |
781 | 0
782 | 0
783 |
784 |
785 | Country Data: {#COUNTRY_NAME}
786 |
787 |
788 |
789 | covid19_status.py
790 |
791 |
792 |
793 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - NewCases
794 | 18
795 |
796 |
797 | covid19.data[NewCases, "{#COUNTRY_NAME}"]
798 | 0
799 | 90d
800 | 365d
801 | 0
802 | 0
803 |
804 |
805 |
806 |
807 | 0
808 | 0
809 |
810 | 0
811 |
812 |
813 |
814 | 0
815 |
816 |
817 |
818 |
819 |
820 |
821 | 0
822 |
823 |
824 | Covid Data
825 |
826 |
827 |
828 |
829 |
830 |
831 | 12
832 | $['{#COUNTRY_NAME}'].NewCases
833 |
834 |
835 |
836 | 3s
837 |
838 |
839 |
840 | 200
841 | 1
842 | 0
843 |
844 |
845 | 0
846 | 0
847 | 0
848 | 0
849 |
850 |
851 |
852 | 0
853 | 0
854 |
855 |
856 | Country Data: {#COUNTRY_NAME}
857 |
858 |
859 |
860 | covid19_status.py
861 |
862 |
863 |
864 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - NewDeaths
865 | 18
866 |
867 |
868 | covid19.data[NewDeaths, "{#COUNTRY_NAME}"]
869 | 0
870 | 90d
871 | 365d
872 | 0
873 | 0
874 |
875 |
876 |
877 |
878 | 0
879 | 0
880 |
881 | 0
882 |
883 |
884 |
885 | 0
886 |
887 |
888 |
889 |
890 |
891 |
892 | 0
893 |
894 |
895 | Covid Data
896 |
897 |
898 |
899 |
900 |
901 |
902 | 12
903 | $['{#COUNTRY_NAME}'].NewDeaths
904 |
905 |
906 |
907 | 3s
908 |
909 |
910 |
911 | 200
912 | 1
913 | 0
914 |
915 |
916 | 0
917 | 0
918 | 0
919 | 0
920 |
921 |
922 |
923 | 0
924 | 0
925 |
926 |
927 | Country Data: {#COUNTRY_NAME}
928 |
929 |
930 |
931 | covid19_status.py
932 |
933 |
934 |
935 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - Serious,Critical
936 | 18
937 |
938 |
939 | covid19.data[Serious, "{#COUNTRY_NAME}"]
940 | 0
941 | 90d
942 | 365d
943 | 0
944 | 0
945 |
946 |
947 |
948 |
949 | 0
950 | 0
951 |
952 | 0
953 |
954 |
955 |
956 | 0
957 |
958 |
959 |
960 |
961 |
962 |
963 | 0
964 |
965 |
966 | Covid Data
967 |
968 |
969 |
970 |
971 |
972 |
973 | 12
974 | $['{#COUNTRY_NAME}']['Serious,Critical']
975 |
976 |
977 |
978 | 3s
979 |
980 |
981 |
982 | 200
983 | 1
984 | 0
985 |
986 |
987 | 0
988 | 0
989 | 0
990 | 0
991 |
992 |
993 |
994 | 0
995 | 0
996 |
997 |
998 | Country Data: {#COUNTRY_NAME}
999 |
1000 |
1001 |
1002 | covid19_status.py
1003 |
1004 |
1005 |
1006 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - TotalCases
1007 | 15
1008 |
1009 |
1010 | covid19.data[TotalCases, "{#COUNTRY_NAME}"]
1011 | 30m
1012 | 90d
1013 | 365d
1014 | 0
1015 | 0
1016 |
1017 |
1018 |
1019 |
1020 | 0
1021 | 0
1022 |
1023 | 0
1024 |
1025 | last("covid19.data[ActiveCases, \"{#COUNTRY_NAME}\"]") + last("covid19.data[TotalDeaths, \"{#COUNTRY_NAME}\"]") + last("covid19.data[TotalRecovered, \"{#COUNTRY_NAME}\"]")
1026 |
1027 | 0
1028 |
1029 |
1030 |
1031 |
1032 |
1033 |
1034 | 0
1035 |
1036 |
1037 | Covid Data
1038 |
1039 |
1040 |
1041 |
1042 |
1043 |
1044 | 3s
1045 |
1046 |
1047 |
1048 | 200
1049 | 1
1050 | 0
1051 |
1052 |
1053 | 0
1054 | 0
1055 | 0
1056 | 0
1057 |
1058 |
1059 |
1060 | 0
1061 | 0
1062 |
1063 |
1064 | Country Data: {#COUNTRY_NAME}
1065 |
1066 |
1067 |
1068 |
1069 |
1070 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - TotalDeaths
1071 | 18
1072 |
1073 |
1074 | covid19.data[TotalDeaths, "{#COUNTRY_NAME}"]
1075 | 0
1076 | 90d
1077 | 365d
1078 | 0
1079 | 0
1080 |
1081 |
1082 |
1083 |
1084 | 0
1085 | 0
1086 |
1087 | 0
1088 |
1089 |
1090 |
1091 | 0
1092 |
1093 |
1094 |
1095 |
1096 |
1097 |
1098 | 0
1099 |
1100 |
1101 | Covid Data
1102 |
1103 |
1104 |
1105 |
1106 |
1107 |
1108 | 12
1109 | $['{#COUNTRY_NAME}'].TotalDeaths
1110 |
1111 |
1112 |
1113 | 3s
1114 |
1115 |
1116 |
1117 | 200
1118 | 1
1119 | 0
1120 |
1121 |
1122 | 0
1123 | 0
1124 | 0
1125 | 0
1126 |
1127 |
1128 |
1129 | 0
1130 | 0
1131 |
1132 |
1133 | Country Data: {#COUNTRY_NAME}
1134 |
1135 |
1136 |
1137 | covid19_status.py
1138 |
1139 |
1140 |
1141 | [ {#COUNTRY_NAME} | {#COUNTRY_IBAN} ] - TotalRecovered
1142 | 18
1143 |
1144 |
1145 | covid19.data[TotalRecovered, "{#COUNTRY_NAME}"]
1146 | 0
1147 | 90d
1148 | 365d
1149 | 0
1150 | 0
1151 |
1152 |
1153 |
1154 |
1155 | 0
1156 | 0
1157 |
1158 | 0
1159 |
1160 |
1161 |
1162 | 0
1163 |
1164 |
1165 |
1166 |
1167 |
1168 |
1169 | 0
1170 |
1171 |
1172 | Covid Data
1173 |
1174 |
1175 |
1176 |
1177 |
1178 |
1179 | 12
1180 | $['{#COUNTRY_NAME}'].TotalRecovered
1181 |
1182 |
1183 |
1184 | 3s
1185 |
1186 |
1187 |
1188 | 200
1189 | 1
1190 | 0
1191 |
1192 |
1193 | 0
1194 | 0
1195 | 0
1196 | 0
1197 |
1198 |
1199 |
1200 | 0
1201 | 0
1202 |
1203 |
1204 | Country Data: {#COUNTRY_NAME}
1205 |
1206 |
1207 |
1208 | covid19_status.py
1209 |
1210 |
1211 |
1212 |
1213 |
1214 |
1215 | Covid 9 per Country [ {#COUNTRY_NAME} ]
1216 | 900
1217 | 200
1218 | 0.0000
1219 | 100.0000
1220 | 1
1221 | 1
1222 | 0
1223 | 1
1224 | 0
1225 | 0.0000
1226 | 0.0000
1227 | 0
1228 | 0
1229 | 0
1230 | 0
1231 |
1232 |
1233 | 0
1234 | 0
1235 | F230E0
1236 | 0
1237 | 2
1238 | 0
1239 | -
1240 | Template - Covid19
1241 | covid19.data[ActiveCases, "{#COUNTRY_NAME}"]
1242 |
1243 |
1244 |
1245 | 1
1246 | 0
1247 | 2774A4
1248 | 0
1249 | 2
1250 | 0
1251 | -
1252 | Template - Covid19
1253 | covid19.data[NewCases, "{#COUNTRY_NAME}"]
1254 |
1255 |
1256 |
1257 | 2
1258 | 0
1259 | A54F10
1260 | 0
1261 | 2
1262 | 0
1263 | -
1264 | Template - Covid19
1265 | covid19.data[NewDeaths, "{#COUNTRY_NAME}"]
1266 |
1267 |
1268 |
1269 |
1270 |
1271 |
1272 |
1273 | 3s
1274 |
1275 |
1276 |
1277 | 200
1278 | 1
1279 | 0
1280 |
1281 |
1282 | 0
1283 | 0
1284 | 0
1285 |
1286 |
1287 |
1288 | 0
1289 | 0
1290 |
1291 |
1292 |
1293 |
1294 |
1295 |
1296 |
1297 |
1298 |
1299 |
1300 | Covid 9 - Total Cases
1301 | 900
1302 | 200
1303 | 0.0000
1304 | 100.0000
1305 | 1
1306 | 1
1307 | 0
1308 | 1
1309 | 0
1310 | 0.0000
1311 | 0.0000
1312 | 0
1313 | 0
1314 | 0
1315 | 0
1316 |
1317 |
1318 | 0
1319 | 0
1320 | 1A7C11
1321 | 0
1322 | 2
1323 | 0
1324 | -
1325 | Template - Covid19
1326 | covid19.data[ActiveCases]
1327 |
1328 |
1329 |
1330 | 1
1331 | 0
1332 | F63100
1333 | 0
1334 | 2
1335 | 0
1336 | -
1337 | Template - Covid19
1338 | covid19.data[TotalDeaths]
1339 |
1340 |
1341 |
1342 | 2
1343 | 0
1344 | 2774A4
1345 | 0
1346 | 2
1347 | 0
1348 | -
1349 | Template - Covid19
1350 | covid19.data[Serious]
1351 |
1352 |
1353 |
1354 | 3
1355 | 0
1356 | A54F10
1357 | 0
1358 | 2
1359 | 0
1360 | -
1361 | Template - Covid19
1362 | covid19.data[TotalRecovered]
1363 |
1364 |
1365 |
1366 |
1367 |
1368 |
1369 |
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/zabbix_template.png:
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https://raw.githubusercontent.com/rickkbarbosa/covid9-monitor/a3f7f77cd644a43db6adbe643269bc450349c655/zabbix_template.png
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