702 changes: 702 additions & 0 deletions geonode/monitoring/fixtures/metric_data.json
View file
Original file line number Diff line number Diff line change
Expand Up @@ -46535,5 +46535,707 @@
"samples_count": 5,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 386,
"fields": {
"valid_from": "2019-08-30T10:54:00Z",
"valid_to": "2019-08-30T10:55:00Z",
"service_metric": 42,
"service": 2,
"event_type": null,
"resource": null,
"label": 73,
"value": "9997.02",
"value_num": "9997.0200",
"value_raw": "9997.02",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 725,
"fields": {
"valid_from": "2019-09-02T15:17:00Z",
"valid_to": "2019-09-02T15:18:00Z",
"service_metric": 42,
"service": 2,
"event_type": null,
"resource": null,
"label": 73,
"value": "704.18",
"value_num": "704.1800",
"value_raw": "704.18",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 2107,
"fields": {
"valid_from": "2019-09-05T08:50:00Z",
"valid_to": "2019-09-05T08:51:00Z",
"service_metric": 42,
"service": 2,
"event_type": null,
"resource": null,
"label": 73,
"value": "4563.34",
"value_num": "4563.3400",
"value_raw": "4563.34",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 3833,
"fields": {
"valid_from": "2019-09-05T09:41:00Z",
"valid_to": "2019-09-05T09:42:00Z",
"service_metric": 42,
"service": 2,
"event_type": null,
"resource": null,
"label": 73,
"value": "6138.09",
"value_num": "6138.0900",
"value_raw": "6138.09",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 2108,
"fields": {
"valid_from": "2019-09-05T08:50:00Z",
"valid_to": "2019-09-05T08:51:00Z",
"service_metric": 43,
"service": 2,
"event_type": null,
"resource": null,
"label": 73,
"value": "0.0163537587931",
"value_num": "0.0164",
"value_raw": "0.0163537587931",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 3834,
"fields": {
"valid_from": "2019-09-05T09:41:00Z",
"valid_to": "2019-09-05T09:42:00Z",
"service_metric": 43,
"service": 2,
"event_type": null,
"resource": null,
"label": 73,
"value": "0.514624183007",
"value_num": "0.5146",
"value_raw": "0.514624183007",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 2109,
"fields": {
"valid_from": "2019-09-05T08:50:00Z",
"valid_to": "2019-09-05T08:51:00Z",
"service_metric": 44,
"service": 2,
"event_type": null,
"resource": null,
"label": 72,
"value": "1.63537587931",
"value_num": "1.6354",
"value_raw": "1.63537587931",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 3835,
"fields": {
"valid_from": "2019-09-05T09:41:00Z",
"valid_to": "2019-09-05T09:42:00Z",
"service_metric": 44,
"service": 2,
"event_type": null,
"resource": null,
"label": 72,
"value": "51.4624183007",
"value_num": "51.4624",
"value_raw": "51.4624183007",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 388,
"fields": {
"valid_from": "2019-08-30T10:54:00Z",
"valid_to": "2019-08-30T10:55:00Z",
"service_metric": 63,
"service": 4,
"event_type": null,
"resource": null,
"label": 23,
"value": "14.3133433693",
"value_num": "14.3133",
"value_raw": "14.3133433693",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 727,
"fields": {
"valid_from": "2019-09-02T15:17:00Z",
"valid_to": "2019-09-02T15:18:00Z",
"service_metric": 63,
"service": 4,
"event_type": null,
"resource": null,
"label": 23,
"value": "25.6353458529",
"value_num": "25.6353",
"value_raw": "25.6353458529",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 2111,
"fields": {
"valid_from": "2019-09-05T08:50:00Z",
"valid_to": "2019-09-05T08:51:00Z",
"service_metric": 63,
"service": 4,
"event_type": null,
"resource": null,
"label": 23,
"value": "20.9975134328",
"value_num": "20.9975",
"value_raw": "20.9975134328",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 3837,
"fields": {
"valid_from": "2019-09-05T09:41:00Z",
"valid_to": "2019-09-05T09:42:00Z",
"service_metric": 63,
"service": 4,
"event_type": null,
"resource": null,
"label": 23,
"value": "14.3934701315",
"value_num": "14.3935",
"value_raw": "14.3934701315",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 270,
"fields": {
"valid_from": "2019-08-30T10:54:00Z",
"valid_to": "2019-08-30T10:55:00Z",
"service_metric": 36,
"service": 2,
"event_type": null,
"resource": null,
"label": 36,
"value": "381833216",
"value_num": "381833216.0000",
"value_raw": "381833216",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 609,
"fields": {
"valid_from": "2019-09-02T15:17:00Z",
"valid_to": "2019-09-02T15:18:00Z",
"service_metric": 36,
"service": 2,
"event_type": null,
"resource": null,
"label": 36,
"value": "1536131072",
"value_num": "1536131072.0000",
"value_raw": "1536131072",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 1991,
"fields": {
"valid_from": "2019-09-05T08:50:00Z",
"valid_to": "2019-09-05T08:51:00Z",
"service_metric": 36,
"service": 2,
"event_type": null,
"resource": null,
"label": 36,
"value": "594771968",
"value_num": "594771968.0000",
"value_raw": "594771968",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 3717,
"fields": {
"valid_from": "2019-09-05T09:41:00Z",
"valid_to": "2019-09-05T09:42:00Z",
"service_metric": 36,
"service": 2,
"event_type": null,
"resource": null,
"label": 36,
"value": "362184704",
"value_num": "362184704.0000",
"value_raw": "362184704",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 610,
"fields": {
"valid_from": "2019-09-02T15:17:00Z",
"valid_to": "2019-09-02T15:18:00Z",
"service_metric": 37,
"service": 2,
"event_type": null,
"resource": null,
"label": 36,
"value": "6226784256",
"value_num": "6226784256.0000",
"value_raw": "6226784256",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 1992,
"fields": {
"valid_from": "2019-09-05T08:50:00Z",
"valid_to": "2019-09-05T08:51:00Z",
"service_metric": 37,
"service": 2,
"event_type": null,
"resource": null,
"label": 36,
"value": "7139155968",
"value_num": "7139155968.0000",
"value_raw": "7139155968",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 3718,
"fields": {
"valid_from": "2019-09-05T09:41:00Z",
"valid_to": "2019-09-05T09:42:00Z",
"service_metric": 37,
"service": 2,
"event_type": null,
"resource": null,
"label": 36,
"value": "7353704448",
"value_num": "7353704448.0000",
"value_raw": "7353704448",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 611,
"fields": {
"valid_from": "2019-09-02T15:17:00Z",
"valid_to": "2019-09-02T15:18:00Z",
"service_metric": 38,
"service": 2,
"event_type": null,
"resource": null,
"label": 36,
"value": "75.1172184792",
"value_num": "75.1172",
"value_raw": "75.1172184792",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 1993,
"fields": {
"valid_from": "2019-09-05T08:50:00Z",
"valid_to": "2019-09-05T08:51:00Z",
"service_metric": 38,
"service": 2,
"event_type": null,
"resource": null,
"label": 36,
"value": "86.1236742045",
"value_num": "86.1237",
"value_raw": "86.1236742045",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 3719,
"fields": {
"valid_from": "2019-09-05T09:41:00Z",
"valid_to": "2019-09-05T09:42:00Z",
"service_metric": 38,
"service": 2,
"event_type": null,
"resource": null,
"label": 36,
"value": "88.7118938029",
"value_num": "88.7119",
"value_raw": "88.7118938029",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 391,
"fields": {
"valid_from": "2019-08-30T10:54:00Z",
"valid_to": "2019-08-30T10:55:00Z",
"service_metric": 55,
"service": 4,
"event_type": null,
"resource": null,
"label": 36,
"value": "379006976",
"value_num": "379006976.0000",
"value_raw": "379006976",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 730,
"fields": {
"valid_from": "2019-09-02T15:17:00Z",
"valid_to": "2019-09-02T15:18:00Z",
"service_metric": 55,
"service": 4,
"event_type": null,
"resource": null,
"label": 36,
"value": "1564332032",
"value_num": "1564332032.0000",
"value_raw": "1564332032",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 2114,
"fields": {
"valid_from": "2019-09-05T08:50:00Z",
"valid_to": "2019-09-05T08:51:00Z",
"service_metric": 55,
"service": 4,
"event_type": null,
"resource": null,
"label": 36,
"value": "595021824",
"value_num": "595021824.0000",
"value_raw": "595021824",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 3840,
"fields": {
"valid_from": "2019-09-05T09:41:00Z",
"valid_to": "2019-09-05T09:42:00Z",
"service_metric": 55,
"service": 4,
"event_type": null,
"resource": null,
"label": 36,
"value": "365133824",
"value_num": "365133824.0000",
"value_raw": "365133824",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 728,
"fields": {
"valid_from": "2019-09-02T15:17:00Z",
"valid_to": "2019-09-02T15:18:00Z",
"service_metric": 57,
"service": 4,
"event_type": null,
"resource": null,
"label": 36,
"value": "81.1285783816",
"value_num": "81.1286",
"value_raw": "81.1285783816",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 2112,
"fields": {
"valid_from": "2019-09-05T08:50:00Z",
"valid_to": "2019-09-05T08:51:00Z",
"service_metric": 57,
"service": 4,
"event_type": null,
"resource": null,
"label": 36,
"value": "92.8219153714",
"value_num": "92.8219",
"value_raw": "92.8219153714",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 3838,
"fields": {
"valid_from": "2019-09-05T09:41:00Z",
"valid_to": "2019-09-05T09:42:00Z",
"service_metric": 57,
"service": 4,
"event_type": null,
"resource": null,
"label": 36,
"value": "95.5951842711",
"value_num": "95.5952",
"value_raw": "95.5951842711",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 385,
"fields": {
"valid_from": "2019-08-30T10:54:00Z",
"valid_to": "2019-08-30T10:55:00Z",
"service_metric": 41,
"service": 2,
"event_type": null,
"resource": null,
"label": 73,
"value": "17167.700748",
"value_num": "17167.7007",
"value_raw": "17167.700748",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 724,
"fields": {
"valid_from": "2019-09-02T15:17:00Z",
"valid_to": "2019-09-02T15:18:00Z",
"service_metric": 41,
"service": 2,
"event_type": null,
"resource": null,
"label": 73,
"value": "874.42910409",
"value_num": "874.4291",
"value_raw": "874.42910409",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 2106,
"fields": {
"valid_from": "2019-09-05T08:50:00Z",
"valid_to": "2019-09-05T08:51:00Z",
"service_metric": 41,
"service": 2,
"event_type": null,
"resource": null,
"label": 73,
"value": "6397.37235188",
"value_num": "6397.3724",
"value_raw": "6397.37235188",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 3832,
"fields": {
"valid_from": "2019-09-05T09:41:00Z",
"valid_to": "2019-09-05T09:42:00Z",
"service_metric": 41,
"service": 2,
"event_type": null,
"resource": null,
"label": 73,
"value": "9443.10245609",
"value_num": "9443.1025",
"value_raw": "9443.10245609",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 6765,
"fields": {
"valid_from": "2019-09-09T07:27:00Z",
"valid_to": "2019-09-09T07:28:00Z",
"service_metric": 41,
"service": 2,
"event_type": null,
"resource": null,
"label": 73,
"value": "2129.42707705",
"value_num": "2129.4271",
"value_raw": "2129.42707705",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 387,
"fields": {
"valid_from": "2019-08-30T10:54:00Z",
"valid_to": "2019-08-30T10:55:00Z",
"service_metric": 60,
"service": 4,
"event_type": null,
"resource": null,
"label": 23,
"value": "17171",
"value_num": "17171.0000",
"value_raw": "17171",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 726,
"fields": {
"valid_from": "2019-09-02T15:17:00Z",
"valid_to": "2019-09-02T15:18:00Z",
"service_metric": 60,
"service": 4,
"event_type": null,
"resource": null,
"label": 23,
"value": "875",
"value_num": "875.0000",
"value_raw": "875",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 2110,
"fields": {
"valid_from": "2019-09-05T08:50:00Z",
"valid_to": "2019-09-05T08:51:00Z",
"service_metric": 60,
"service": 4,
"event_type": null,
"resource": null,
"label": 23,
"value": "6400",
"value_num": "6400.0000",
"value_raw": "6400",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 3836,
"fields": {
"valid_from": "2019-09-05T09:41:00Z",
"valid_to": "2019-09-05T09:42:00Z",
"service_metric": 60,
"service": 4,
"event_type": null,
"resource": null,
"label": 23,
"value": "9446",
"value_num": "9446.0000",
"value_raw": "9446",
"samples_count": 1,
"data": {}
}
},
{
"model": "monitoring.metricvalue",
"pk": 6767,
"fields": {
"valid_from": "2019-09-09T07:27:00Z",
"valid_to": "2019-09-09T07:28:00Z",
"service_metric": 60,
"service": 4,
"event_type": null,
"resource": null,
"label": 23,
"value": "2131",
"value_num": "2131.0000",
"value_raw": "2131",
"samples_count": 1,
"data": {}
}
}
]
195 changes: 189 additions & 6 deletions geonode/monitoring/tests/integration.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -1936,12 +1936,12 @@ def test_unique_visitors_count_endpoints(self):
self.assertEqual(month_data[0]["samples_count"], None)
last_month_data = data[-1]["data"]
self.assertEqual(len(last_month_data), 1)
self.assertEqual(last_month_data[0]["metric_count"], 26)
self.assertEqual(last_month_data[0]["metric_count"], 25)
self.assertEqual(last_month_data[0]["val"], 5)
self.assertEqual(last_month_data[0]["min"], "1.0000")
self.assertEqual(last_month_data[0]["max"], "3.0000")
self.assertEqual(last_month_data[0]["sum"], "32.0000")
self.assertEqual(last_month_data[0]["samples_count"], 32)
self.assertEqual(last_month_data[0]["sum"], "31.0000")
self.assertEqual(last_month_data[0]["samples_count"], 31)

def test_anonymous_sessions_count_endpoints(self):
# layer/upload
Expand Down Expand Up @@ -2057,13 +2057,13 @@ def test_unique_visitors_list_endpoints(self):
self.assertEqual(last_month_data[1]["user"], "admin")
self.assertEqual(last_month_data[1]["samples_count"], 5)
# 3
self.assertEqual(last_month_data[2]["metric_count"], 8)
self.assertEqual(last_month_data[2]["metric_count"], 7)
self.assertEqual(last_month_data[2]["val"], 2)
self.assertEqual(last_month_data[2]["min"], "1.0000")
self.assertEqual(last_month_data[2]["max"], "3.0000")
self.assertEqual(last_month_data[2]["sum"], "12.0000")
self.assertEqual(last_month_data[2]["sum"], "11.0000")
self.assertEqual(last_month_data[2]["user"], "joe")
self.assertEqual(last_month_data[2]["samples_count"], 12)
self.assertEqual(last_month_data[2]["samples_count"], 11)
# 4
self.assertEqual(last_month_data[3]["metric_count"], 3)
self.assertEqual(last_month_data[3]["val"], 1)
Expand All @@ -2080,3 +2080,186 @@ def test_unique_visitors_list_endpoints(self):
self.assertEqual(last_month_data[4]["sum"], "5.0000")
self.assertEqual(last_month_data[4]["user"], "mary")
self.assertEqual(last_month_data[4]["samples_count"], 5)

def test_hostgeonode_cpu_endpoints(self):
url = "%s?%s&%s" % (
reverse('monitoring:api_metric_data', args={'cpu.usage.percent'}),
'last=604800&interval=604800',
'service=localhost-hostgeonode'
)
response = self.client.get(url)
out = json.loads(response.content)
self.assertEqual(out["error"], "unauthorized_request")
self.client.login_user(self.user)
response = self.client.get(url)
out = json.loads(response.content)
self.assertEqual(out["error"], "unauthorized_request")
# Authorized
self.client.login_user(self.admin)
self.assertTrue(get_user(self.client).is_authenticated())
response = self.client.get(url)
out = json.loads(response.content)
# Check data
data = out["data"]
self.assertEqual(data["metric"], "cpu.usage.percent")
self.assertEqual(data["interval"], 604800)
self.assertEqual(data["label"], None)
self.assertEqual(data["axis_label"], "%")
self.assertEqual(data["type"], "rate")
d = data["data"][0]["data"]
self.assertEqual(d[0]["samples_count"], 2)
self.assertEqual(d[0]["val"], "26.5489000000000000")
self.assertEqual(d[0]["min"], "1.6354")
self.assertEqual(d[0]["max"], "51.4624")
self.assertEqual(d[0]["sum"], "53.0978")
self.assertEqual(
d[0]["label"],
"/proxy/?url=http%3A%2F%2Flocalhost%3A8080%2Fgeoserver%2Fows%3Fservice"
"%3DWMS%26version%3D1.1.1%26request%3DDescribeLayer%26layers%3Dgeonode"
"%253Arailways%26access_token%3DAGWnjcAoUtdfHP8XjuE5vEefu8j5sz")
self.assertEqual(d[0]["user"], None)
self.assertEqual(d[0]["metric_count"], 2)

def test_hostgeoserver_cpu_endpoints(self):
url = "%s?%s&%s" % (
reverse('monitoring:api_metric_data', args={'cpu.usage.percent'}),
'last=604800&interval=604800',
'service=localhost-hostgeoserver'
)
response = self.client.get(url)
out = json.loads(response.content)
self.assertEqual(out["error"], "unauthorized_request")
self.client.login_user(self.user)
response = self.client.get(url)
out = json.loads(response.content)
self.assertEqual(out["error"], "unauthorized_request")
# Authorized
self.client.login_user(self.admin)
self.assertTrue(get_user(self.client).is_authenticated())
response = self.client.get(url)
out = json.loads(response.content)
# Check data
data = out["data"]
self.assertEqual(data["metric"], "cpu.usage.percent")
self.assertEqual(data["interval"], 604800)
self.assertEqual(data["label"], None)
self.assertEqual(data["axis_label"], "%")
self.assertEqual(data["type"], "rate")
d = data["data"][0]["data"]
self.assertEqual(d[0]["samples_count"], 3)
self.assertEqual(d[0]["val"], "20.3421000000000000")
self.assertEqual(d[0]["min"], "14.3935")
self.assertEqual(d[0]["max"], "25.6353")
self.assertEqual(d[0]["sum"], "61.0263")
self.assertEqual(
d[0]["label"],
"9d013cdaef339aedf8794f6558aacf4eaf5eddfaee11b6316b05105ea5b1968a")
self.assertEqual(d[0]["user"], "AnonymousUser")
self.assertEqual(d[0]["metric_count"], 3)

def test_hostgeonode_mem_endpoints(self):
url = "%s?%s&%s" % (
reverse('monitoring:api_metric_data', args={'mem.usage.percent'}),
'last=604800&interval=604800',
'service=localhost-hostgeonode'
)
response = self.client.get(url)
out = json.loads(response.content)
self.assertEqual(out["error"], "unauthorized_request")
self.client.login_user(self.user)
response = self.client.get(url)
out = json.loads(response.content)
self.assertEqual(out["error"], "unauthorized_request")
# Authorized
self.client.login_user(self.admin)
self.assertTrue(get_user(self.client).is_authenticated())
response = self.client.get(url)
out = json.loads(response.content)
# Check data
data = out["data"]
self.assertEqual(data["metric"], "mem.usage.percent")
self.assertEqual(data["interval"], 604800)
self.assertEqual(data["label"], None)
self.assertEqual(data["axis_label"], "%")
self.assertEqual(data["type"], "rate")
d = data["data"][0]["data"]
self.assertEqual(d[0]["samples_count"], 3)
self.assertEqual(d[0]["val"], "83.3176000000000000")
self.assertEqual(d[0]["min"], "75.1172")
self.assertEqual(d[0]["max"], "88.7119")
self.assertEqual(d[0]["sum"], "249.9528")
self.assertEqual(d[0]["label"], "/layers/upload")
self.assertEqual(d[0]["user"], None)
self.assertEqual(d[0]["metric_count"], 3)

def test_hostgeoserver_mem_endpoints(self):
url = "%s?%s&%s" % (
reverse('monitoring:api_metric_data', args={'mem.usage.percent'}),
'last=604800&interval=604800',
'service=localhost-hostgeoserver'
)
response = self.client.get(url)
out = json.loads(response.content)
self.assertEqual(out["error"], "unauthorized_request")
self.client.login_user(self.user)
response = self.client.get(url)
out = json.loads(response.content)
self.assertEqual(out["error"], "unauthorized_request")
# Authorized
self.client.login_user(self.admin)
self.assertTrue(get_user(self.client).is_authenticated())
response = self.client.get(url)
out = json.loads(response.content)
# Check data
data = out["data"]
self.assertEqual(data["metric"], "mem.usage.percent")
self.assertEqual(data["interval"], 604800)
self.assertEqual(data["label"], None)
self.assertEqual(data["axis_label"], "%")
self.assertEqual(data["type"], "rate")
d = data["data"][0]["data"]
self.assertEqual(d[0]["samples_count"], 3)
self.assertEqual(d[0]["val"], "89.8485666666666667")
self.assertEqual(d[0]["min"], "81.1286")
self.assertEqual(d[0]["max"], "95.5952")
self.assertEqual(d[0]["sum"], "269.5457")
self.assertEqual(d[0]["label"], "/layers/upload")
self.assertEqual(d[0]["user"], None)
self.assertEqual(d[0]["metric_count"], 3)

def test_uptime_endpoints(self):
url = reverse('monitoring:api_metric_data', args={'uptime'})
response = self.client.get(url)
out = json.loads(response.content)
self.assertEqual(out["error"], "unauthorized_request")
self.client.login_user(self.user)
response = self.client.get(url)
out = json.loads(response.content)
self.assertEqual(out["error"], "unauthorized_request")
# Authorized
self.client.login_user(self.admin)
self.assertTrue(get_user(self.client).is_authenticated())
response = self.client.get(url)
out = json.loads(response.content)
# Check data
data = out["data"]["data"][0]["data"]
# First
self.assertEqual(data[0]["samples_count"], 5)
self.assertEqual(data[0]["val"], "36023.0000")
self.assertEqual(data[0]["min"], "875.0000")
self.assertEqual(data[0]["max"], "17171.0000")
self.assertEqual(data[0]["sum"], "36023.0000")
self.assertEqual(data[0]["label"], "9d013cdaef339aedf8794f6558aacf4eaf5eddfaee11b6316b05105ea5b1968a")
self.assertEqual(data[0]["user"], "AnonymousUser")
self.assertEqual(data[0]["metric_count"], 5)
# Second
self.assertEqual(data[1]["samples_count"], 5)
self.assertEqual(data[1]["val"], "36012.0318")
self.assertEqual(data[1]["min"], "874.4291")
self.assertEqual(data[1]["max"], "17167.7007")
self.assertEqual(data[1]["sum"], "36012.0318")
self.assertEqual(data[1]["label"], "/proxy/?url=http%3A%2F%2Flocalhost%3A8080%2Fgeoserver%2Fows%3F"
"service%3DWMS%26version%3D1.1.1%26request%3DDescribeLayer%26layers%3D"
"geonode%253Aroads%26access_token%3DAGWnjcAoUtdfHP8XjuE5vEefu8j5sz")
self.assertEqual(data[1]["user"], None)
self.assertEqual(data[1]["metric_count"], 5)