dynatracescripts/manageProcess_TOTAL.py

98 lines
3.2 KiB
Python

from decouple import config
import yaml
import requests
import json
import pandas as pd
from datetime import datetime
def make_request(url, headers):
try:
response = requests.get(url, headers=headers)
response.raise_for_status()
except requests.exceptions.HTTPError as errh:
return "An Http Error occurred:" + repr(errh)
except requests.exceptions.ConnectionError as errc:
return "An Error Connecting to the API occurred:" + repr(errc)
except requests.exceptions.Timeout as errt:
return "A Timeout Error occurred:" + repr(errt)
except requests.exceptions.RequestException as err:
return "An Unknown Error occurred" + repr(err)
return response
def GatherDeepMonitoring(DTAPIToken, DTENV,friendlyName):
reportingFolder = config('REPORTING_FOLDER')
env = DTENV
DTAPIToken = DTAPIToken
#DTAPIURL = env + "/api/v1/entity/infrastructure/processes?relativeTime=5mins&tag=[CONTEXTLESS]Environment:PROD&expectedMonitoringState=ON"
DTAPIURL = env + "/api/v1/entity/infrastructure/processes?tag=[CONTEXTLESS]compass-id"
headers = {
'Content-Type': 'application/json',
'Authorization': 'Api-Token ' + DTAPIToken
}
#r = requests.get(DTAPIURL,headers=headers)
r = make_request(DTAPIURL,headers)
#data = r.json()
df = pd.DataFrame()
for pg in r.json():
row = {'PGName':pg['displayName']}
row.update({'ExpectedMonitoringState': pg['monitoringState']['expectedMonitoringState']})
row.update({'RestartRequired': pg['monitoringState']['restartRequired']})
try:
for mgmtZone in pg['managementZones']:
row.update({'ManagementZone':mgmtZone['name']})
except:
row.update({'ManagementZone':'NONE'})
for item in pg['metadata']:
if 'kubernetesNamespaces' in item:
row.update({'kubernetesNamespaces': pg['metadata']['kubernetesNamespaces']})
if 'kubernetesAnnotations' in item:
for annotation in pg['metadata']['kubernetesAnnotations']:
row.update({ annotation : pg['metadata']['kubernetesAnnotations'][annotation]})
for tag in pg['tags']:
try:
row.update({ tag['key']:tag['value']})
except:
row.update({ tag['key']:tag['key']})
df = df.append(row,ignore_index=True)
#total = data['totalCount']
#pageSize = data['pageSize']
#print(data)
now=datetime.now()
strnow = now.strftime("%Y%m%d_%H%M")
df.to_csv(reportingFolder + friendlyName + '_monitoredProcesses_' + strnow + '.csv')
#################
##main
#################
with open('./environment.yaml') as file:
doc = yaml.safe_load(file)
for item, doc in doc.items():
token = dict(doc[2])
url = dict(doc[1])
print("Crawling through: " + item)
print("Check if token exists in environment...")
if(config(token.get('env-token-name')) != ""):
print("Gather data, hold on a minute")
DTTOKEN = config(token.get('env-token-name'))
DTURL = url.get('env-url')
GatherDeepMonitoring(DTTOKEN,DTURL,item)
else:
print("token not found, skipping " + item)