coco_apm_dashboard_cleaner/main.py

161 lines
5.5 KiB
Python

import os
import logging
from decouple import config
import yaml
from dynatrace import Dynatrace
import logging
import pandas as pd
import openpyxl
def writeToExcel(itme, results):
df = pd.DataFrame(results)
for d in df[0]:
print(d)
def format_block(string, max):
string_length = len(string)
string = (f'{string}{" "*(max-string_length)}')
return string
def writeToTxt(item, results):
for result in results:
id = getattr(result, "id")
name = getattr(result, "name")
owner = getattr(result, "owner")
filename = os.path.join(".\log", item+"-log.txt")
os.makedirs(os.path.dirname(filename), exist_ok=True)
with open(filename, "a", encoding="utf-8") as f:
f.write(f"{'id: ' + id + ' '} " +
f"{'name: ' + name + ' '} " +
f"{'owner: ' + owner}" +
"\n")
# logging.info(f"{'id: %s '}"
# f"{'name: %s'}"
# f"{'owner: %s'}",
# format_block(id, 50),
# format_block(name, 70), owner)
def convertToList(results):
dashboard = []
dashboards = {}
for x, result in enumerate(results):
dashboard = [getattr(result, "id"),
getattr(result, "name"),
getattr(result, "owner")]
dashboards[x] = dashboard
dashboard = []
return dashboards
def evaluate(env, dashboards, viewCounts):
ids = []
viewIdsTotal = []
viewIds = []
legacy = []
obsolete = []
available = []
for stub in getattr(dashboards, "_PaginatedList__elements"):
ids.append(getattr(stub, "id"))
for metricSeries in getattr(viewCounts, "_PaginatedList__elements"):
for metric in getattr(metricSeries, "data"):
viewIdsTotal.append(getattr(metric, "dimension_map")["id"])
viewIds.append(getattr(metric, "dimension_map")["id"])
for viewId in viewIdsTotal:
if viewId not in ids:
legacy.append(viewId)
viewIds.remove(viewId)
logging.debug("%s %s have been deleted in the past", str(env), len(legacy))
logging.debug("%s %s dashboards with viewCount and active", str(env),
len(viewIds))
for stub in getattr(dashboards, "_PaginatedList__elements"):
if getattr(stub, "id") in viewIds:
available.append(stub)
if getattr(stub, "id") not in viewIds:
obsolete.append(stub)
logging.info("%s %s dashboards with viewCount!", str(env), len(available))
logging.info("%s %s dashboards with 0 viewCount!", str(env), len(obsolete))
# filename = os.path.join(".\log2", "ids.txt")
# os.makedirs(os.path.dirname(filename), exist_ok=True)
# with open(filename, "a", encoding="utf-8") as f:
# f.write(str(ids))
# filename = os.path.join(".\log2", "legacy.txt")
# os.makedirs(os.path.dirname(filename), exist_ok=True)
# with open(filename, "a", encoding="utf-8") as f:
# f.write(str(legacy))
return obsolete
def getDashboardsWithViewCount(env, client, METRIC_SELECTOR, RESOLUTION,
FROM_DATE, TO_DATE):
logging.debug("%s get dashboards with viewCount, resolution %s ...",
str(env), RESOLUTION)
metric_query = client.metrics.query(METRIC_SELECTOR, RESOLUTION, FROM_DATE,
TO_DATE)
n_metric_query = getattr(metric_query, "_PaginatedList__total_count")
logging.debug("%s %s dashboards with viewCount and older than 6 Months",
str(env), str(n_metric_query))
return metric_query
def getDashboards(env, client):
logging.debug("%s get all dashboards...", str(env))
dashboards = client.dashboards.list(owner=None, tags=None)
n_dashboards = getattr(dashboards, "_PaginatedList__total_count")
logging.info("%s %s total dashboards", str(env), str(n_dashboards))
return dashboards
def init_dt_client(env, DT_URL, DT_TOKEN):
logging.debug("%s init Dynatrace client...", str(env))
DT_CLIENT = Dynatrace(DT_URL, DT_TOKEN, logging.Logger("ERROR"), None, None,
0, 10*1000)
return DT_CLIENT
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s')
with open(os.path.basename("./environment.yaml")) as env_cfg:
environment = yaml.safe_load(env_cfg)
for env, doc in environment.items():
logging.debug("%s checking token...", str(env))
if config(dict(doc[2]).get("env-token-name"), default='') != "":
DT_URL = dict(doc[1]).get("env-url")
DT_TOKEN = config(dict(doc[2]).get("env-token-name"), default='')
METRIC_SELECTOR = dict(doc[5]).get("metricSelector")
RESOLUTION = dict(doc[6]).get("resolution")
FROM_DATE= dict(doc[7]).get("fromDate")
TO_DATE= dict(doc[8]).get("toDate")
client = init_dt_client(env, DT_URL, DT_TOKEN)
dashboards = getDashboards(env, client)
metric_query = getDashboardsWithViewCount(env, client,
METRIC_SELECTOR,
RESOLUTION, FROM_DATE,
TO_DATE)
results = evaluate(env, dashboards, metric_query)
converted_results = convertToList(results)
print(len(converted_results))
# writeToTxt(item, results)
# writeToExcel(item, results)
print("finished")