在调用grafana http api之前有必要学习下json数据结构。
官方grafana HTTP api链接： http://docs.grafana.org/reference/http_api/#basic-auth
Python json模块使用：http://python3-cookbook.readthedocs.org/zh_CN/latest/c06/p02_read-write_json_data.html
sqlachemy使用：http://iceyao.blog.51cto.com/9426658/1694401
[root@xxxxxxxxcom grafana_http_api]# cat grafana_http_api.py
#!/usr/bin/env python
#coding=utf-8
import json # json库方便json数据结构和dict数据结构相互转化
import urllib2
import sys
from urllib2 import Request, urlopen, URLError, HTTPError # http库
from pprint import pprint # 专门打印json数据格式
from sqlalchemy import create_engine #
from sqlalchemy.orm import sessionmaker
#grafana_url="http://localhost:3000/api/dashboards/db/test"
#grafana_url="
grafana_server = "localhost" # grafana主机地址
grafana_port = 3000 # grafana api默认端口
api_keys_name = 'salt-grafana' # 调用grafana api需要事先在界面上创建一个API_KEYS
# http的报头
grafana_header = {
"Content-Type":"application/json",
"Accept": "application/json",
"Authorization": "Bearer eyJrIjoiUWp5MGlrNk9nNEdGM0hpZ1BkMTdZSFJZODBiVmRPem8iLCJuIjoic2FsdC1ncmFmYW5hIiwiaWQiOjF9" # 这个是必须的api_keys,格式"Authorization": "Bearer “
}
# 因为没有api可以导入API_KEY,而API_KEY默认是存储在sqlite数据库里面这里直接往数据库里面注入一条记录
def create_api_keys(path):
engine = create_engine('sqlite:///' + path, echo=True)
Session = sessionmaker(bind=engine)
session = Session()
# 事先查询下如果有就不导入了
res = session.query("name").from_statement("SELECT name FROM api_key where name=:name").params(name=api_keys_name).all()
if len(res) > 0:
print "API Keys already exists"
else:
api_keys_sql = """insert into api_key (id, org_id, name, key, role, created, updated)
values(99,1, '%s',
'308730ed17b47e97ebd96a071791ba291e0848347195a6050c28662add04f50a74efd328540ecb15e5a3b294c0cd1feaa91c',
'Admin', '2015-12-10 09:19:40', '2015-12-10 09:19:40')""" % (api_keys_name)
try:
session.execute(api_keys_sql)
session.commit()
print "API Keys import successfully"
except:
print "API Keys import failed"
sys.exit(1)
finally:
session.close()
# 从外部文件读入json数据
def get_auth_data(file):
with open(file, 'r') as f:
data = json.load(f) # load方法把json数据结构转化为dict数据结构
auth_data = json.dumps(data) # dumps方法把dict数据结构转化为json数据结构因为官方api提供的http数据部分就是json结构
return auth_data
# post请求
def post_request(url, auth_data):
request = urllib2.Request(url,auth_data)
for key in grafana_header:
request.add_header(key,grafana_header[key])
try:
result = urllib2.urlopen(request)
except HTTPError, e:
print 'The server couldn\'t fulfill the request, Error code: ', e.code
except URLError, e:
print 'We failed to reach a server.Reason: ', e.reason
response=json.loads(result.read().decode('utf-8'))
result.close()
return response
# 创建grafana dashboard
def create_dashboard(grafana_server, grafana_port, file):
grafana_url = 'http://{0}:{1}/api/dashboards/db'.format(grafana_server,
grafana_port)
auth_data = get_auth_data(file)
return post_request(grafana_url, auth_data)
# 创建数据源
def create_datasource(grafana_server, grafana_port, datasource_type, file):
datasources = get_datasource(grafana_server, grafana_port)
for datasource in datasources:
if datasource_type + '-test' in datasource['name']:
return "Datasource {0} already exists".format(datasource['name'])
grafana_url = 'http://{0}:{1}/api/datasources'.format(grafana_server,
grafana_port)
auth_data = get_auth_data(file)
return post_request(grafana_url, auth_data)
# 列出所有的数据源
def get_datasource(grafana_server, grafana_port):
grafana_url = 'http://{0}:{1}/api/datasources'.format(grafana_server,
grafana_port)
return post_request(grafana_url, None)
if __name__ == '__main__':
create_api_keys("/var/lib/grafana/grafana.db")
# 创建zabbix数据源
pprint(create_datasource(grafana_server, grafana_port, 'zabbix', 'zabbix_datasource.json'))
# 创建elasticsearch数据源，这里有个bug，api无法指定Index的Pattern.
pprint(create_datasource(grafana_server, grafana_port, 'elasticsearch', 'elasticsearch_datasource.json'))
# 创建grafana dashboard
pprint(create_dashboard(grafana_server, grafana_port, 'data.json'))
pprint(get_datasource(grafana_server, grafana_port))
# 下面来看json文件 [root@xxxxxx0807com grafana_http_api]# ll total 16 -rw-r--r-- 1 root root 722 Dec 10 16:50 data.json -rw-r--r-- 1 root root 219 Dec 10 16:59 elasticsearch_datasource.json -rw-r--r-- 1 root root 4013 Dec 11 12:56 grafana_http_api.py -rw-r--r-- 1 root root 205 Dec 10 15:24 zabbix_datasource.json
[root@xxxxxxxxxx grafana_http_api]# cat data.json
{
"dashboard": {
"id": null,
"title": "Animbus Overview",
"tags": [ "templated" ],
"timezone": "browser",
"rows": [
{
"collapse": false,
"editable": true,
"height": "150px",
"panels": [
{
"content": "Just for test！",
"editable": true,
"error": false,
"id": 1,
"mode": "markdown",
"span": 12,
"style": {},
"title": "no title (click here)",
"type": "text"
}
],
"title": "Row"
}
],
"templating": {
"list": []
},
"annotations": {
"list": []
},
"schemaVersion": 7,
"version": 0
},
"overwrite": true
}
[root@SHBAK0807com grafana_http_api]# cat zabbix_datasource.json
{
"name":"zabbix-test",
"type":"zabbix",
"url":" # 这里需要写上api path
"access":"direct",
"basicAuth":false,
"user":"Admin", # zabbix用户
"password":"zabbix", # zabbix密码
"isDefault":false
}
[root@SHBAK0807com grafana_http_api]# cat elasticsearch_datasource.json
{
"name":"elasticsearch-test",
"type":"elasticsearch",
"url":" # api地址端口
"access":"direct",
"database":"[logstash-]YYYY.MM.DD",
"pattern":"Daily", # 这里无法指定pattern
"basicAuth":false,
"isDefault":false
}