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cloud2falcon.py
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cloud2falcon.py
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#!/usr/bin/env python
# -*- coding:utf-8 -*-
import log
import yaml
import threading
import jinja2
import requests
import json
import logging
from multiCloud import get_id_list, get_metric_data
with open('config.yml', 'r') as ymlfile:
# 考虑声明在start函数内?? 只在cloud2falcon中调用。
cfg = yaml.load(ymlfile)
PERIOD = cfg['period']
def render_without_request(template_name, **context):
"""
usage same as flask.render_template:
render_without_request('template.html', var1='foo', var2='bar')
"""
env = jinja2.Environment(
loader=jinja2.PackageLoader('cloud2falcon', 'templates')
)
template = env.get_template(template_name)
return template.render(**context)
def send_to_falcon(json_model, template_name):
payload = render_without_request(template_name, metrics=json_model)
# print payload
data1 = json.loads(payload)
# add timeout time
r = requests.post(cfg['falcon_url'], data=json.dumps(data1), timeout=3)
if r.status_code != 200:
logging.error("send to falcon failed", r.json())
def peach_send_to_falcon(namespace, name, instance_id,
metric, c_type, ak, sk, region, tempalte):
metric_data = get_metric_data(
cfg['step'],
namespace,
name,
instance_id,
metric,
c_type,
ak,
sk,
region)
if metric_data:
send_to_falcon(metric_data, tempalte)
def get_metric_json(resource):
sub_threads = []
for region in resource['region']:
instance_id = get_id_list(
resource['c_type'],
resource['resource'],
resource['ak'],
resource['sk'],
region['name'])
for metric in resource['metric_list']:
logging.info(
'process start for ' +
metric +
" " +
resource['c_type'])
namespace = resource['c_type'] + "/" + resource['resource']
t = threading.Thread(
target=peach_send_to_falcon,
args=(
namespace,
resource['name'],
instance_id,
metric,
resource['c_type'],
resource['ak'],
resource['sk'],
region,
resource['to_falcon_template']
))
sub_threads.append(t)
for i in range(len(sub_threads)):
sub_threads[i].setDaemon(True)
sub_threads[i].start()
for i in range(len(sub_threads)):
sub_threads[i].join(600)
if __name__ == "__main__":
# 需要修改文件名,来配合falcon plugin的运行机制
log.setup_logging("logging.yml")
threads = []
for res in cfg['cloud']:
logging.info('start main process to get config')
# multiple process
t = threading.Thread(target=get_metric_json, args=(res, ))
threads.append(t)
for i in range(len(threads)):
threads[i].start()