blob: 4493af22c2343d4294e3f411ad8b07ee399f1afb (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
|
## What does this API do ?
This api as of now provides a function which takes in a lits of 'LABELS' of prometheus
and returns the corresponding result_sets in a list.
For eg:
If the labels is
```
LABELS = ['irate(collectd_cpufreq{exported_instance="otconap7",cpufreq="1"}[2m])']
```
The return is:
```
[{'metric': {'cpufreq': '1',
'endpoint': 'collectd-prometheus',
'exported_instance': 'otconap7',
'instance': '172.25.103.1:9103',
'job': 'collectd',
'namespace': 'edge1',
'pod': 'plundering-liger-collectd-wz7xg',
'service': 'collectd'},
'value': [1559177169.415, '119727200']}]
```
## How to use this API ?
```
1. Copy the directory 'promql_api' to your working directory.
```
```
2. Import the API function: query_m3db
from promql_api.prom_ql_api import query_m3db
```
```
3. have a global or local variable as 'LABELS'
LABELS = ['irate(collectd_cpufreq{exported_instance="otconap7",cpufreq="1"}[2m])']
```
```
4. Store the result set in a list:
list_of_result_sets = query_m3db(LABELS)
```
## How to troubleshoot ?
* Check the sample file - sample_promql_query.py in the repo.
* Make sure the file __init__.py is present in promql_api directory after you copy the directory.
|
