94 lines
3.5 KiB
Python
94 lines
3.5 KiB
Python
from decouple import config
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import yaml
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import requests
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import json
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import pandas as pd
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from datetime import datetime
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def make_request(url, headers,verify):
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try:
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response = requests.get(url, headers=headers,verify=verify)
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response.raise_for_status()
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except requests.exceptions.HTTPError as errh:
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return "An Http Error occurred:" + repr(errh)
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except requests.exceptions.ConnectionError as errc:
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return "An Error Connecting to the API occurred:" + repr(errc)
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except requests.exceptions.Timeout as errt:
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return "A Timeout Error occurred:" + repr(errt)
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except requests.exceptions.RequestException as err:
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return "An Unknown Error occurred" + repr(err)
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return response
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def GatherReportingInfo(DTAPIToken, DTENV,friendlyName):
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env = DTENV
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DTAPIToken = DTAPIToken
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if (DTENV.find('dynatracemgd') != -1):
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verify=False
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else:
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verify=True
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DTAPIURL= env + "/api/v2/metrics?metricSelector=calc:service.*&fields=created,lastWritten&pageSize=499"
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headers = {
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'Content-Type': 'application/json',
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'Authorization': 'Api-Token ' + DTAPIToken
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}
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#r = requests.get(DTAPIURL,headers=headers)
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r = make_request(DTAPIURL,headers,verify)
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df = pd.DataFrame()
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mgmt = pd.DataFrame()
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now=datetime.now()
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strnow = now.strftime("%Y%m%d_%H%M")
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metrics = r.json()
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for metric in metrics['metrics']:
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row={'metricID':metric['metricId'],'created':metric['created'],'lastWritten':metric['lastWritten']}
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print(metric['metricId'])
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cleanedMetric = metric['metricId'].replace('\"','')
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cleanedMetric = cleanedMetric.replace('"','')
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DTAPIURL= env + "/api/config/v1/calculatedMetrics/service/" + cleanedMetric
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response = make_request(DTAPIURL,headers,verify)
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row.update({'name':response.json()['name']})
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for condition in response.json()['conditions']:
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i = 0
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if(condition['attribute']=='SERVICE_TAG'):
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try:
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row.update({'SERVICE_TAG_KEY_'+str(i):condition['comparisonInfo']['value']['key'],'SERVICE_TAG_VALUE_'+str(i):condition['comparisonInfo']['value']['value']})
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except:
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row.update({'SERVICE_TAG_KEY_'+str(i):'NO DATA','SERVICE_TAG_VALUE_'+str(i):'NO DATA'})
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if(condition['attribute']=='PROCESS_GROUP_TAG'):
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try:
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row.update({'PG_TAG_KEY_'+str(i):condition['comparisonInfo']['value']['key'],'PG_TAG_VALUE_'+str(i):condition['comparisonInfo']['value']['value']})
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except:
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row.update({'PG_TAG_KEY_'+str(i):'NO DATA','SERVICE_TAG_VALUE_'+str(i):'NO DATA'})
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i=i+1
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mgmt = mgmt.append(row,ignore_index=True)
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# df.to_csv(reportingFolder + friendlyName + '_Restart_' + strnow +'.csv')
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mgmt.to_csv(friendlyName + '_CalculatedMetrics_' + strnow +'.csv',encoding='utf-8')
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with open('./environment.yaml') as file:
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doc = yaml.safe_load(file)
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for item, doc in doc.items():
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token = dict(doc[2])
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url = dict(doc[1])
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print("Crawling through: " + item)
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print("Check if token exists in environment...")
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if(config(token.get('env-token-name')) != ""):
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print("Gather data, hold on a minute")
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DTTOKEN = config(token.get('env-token-name'))
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DTURL = url.get('env-url')
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GatherReportingInfo(DTTOKEN,DTURL,item)
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else:
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print("token not found, skipping " + item) |