adding new script
rforstner
parent
ad50462af0
commit
e8442877fe
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@ -0,0 +1,135 @@
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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### Terraform stuff
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**/.terraform/*
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crash.log
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*.tfvars
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@ -3,27 +3,27 @@ euprod:
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- env-url: "https://xxu26128.live.dynatrace.com"
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- env-token-name: "EUPROD_TOKEN_VAR"
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- jenkins: "https://jaws.bmwgroup.net/opapm/"
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eupreprod:
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#eupreprod:
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- name: "eupreprod"
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- env-url: "https://qqk70169.live.dynatrace.com"
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- env-token-name: "EUPREPROD_TOKEN_VAR"
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- jenkins: "https://jaws.bmwgroup.net/opapm/"
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napreprod:
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#napreprod:
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- name: "napreprod"
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- env-url: "https://onb44935.live.dynatrace.com"
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- env-token-name: "NAPREPROD_TOKEN_VAR"
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- jenkins: "https://jaws.bmwgroup.net/opapm/"
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naprod:
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#naprod:
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- name: "naprod"
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- env-url: "https://wgv50241.live.dynatrace.com"
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- env-token-name: "NAPROD_TOKEN_VAR"
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- jenkins: "https://jaws.bmwgroup.net/opapm/"
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cnprod:
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#cnprod:
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- name: "cnprod"
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- env-url: "https://dynatracemgd-tsp.bmwgroup.net/e/b921f1b9-c00e-4031-b9d1-f5a0d530757b"
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- env-token-name: "CNPROD_TOKEN_VAR"
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- jenkins: "https://jaws-china.bmwgroup.net/opmaas/"
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cnpreprod:
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#cnpreprod:
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- name: "cnpreprod"
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- env-url: "https://dynatracemgd-tsp.bmwgroup.net/e/ab88c03b-b7fc-45f0-9115-9e9ecc0ced35"
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- env-token-name: "CNPREPROD_TOKEN_VAR"
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Binary file not shown.
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from tracemalloc import start
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from decouple import config
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import sys
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import yaml
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import datetime
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import time
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import pandas as pd
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import requests
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import openpyxl
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import argparse
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def init_argparse() -> argparse.ArgumentParser:
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parser = argparse.ArgumentParser(
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usage="%(prog)s [--fromDate] [toDate] or [preSelect]",
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description="gather SLO in daily slices for given Timeframe"
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)
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parser.add_argument(
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"-f","--fromDate",
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help = "YYYY-mm-dd e.g. 2022-01-01"
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)
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parser.add_argument(
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"-t","--toDate",
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help = "YYYY-mm-dd e.g. 2022-01-31"
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)
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parser.add_argument(
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"-p","--preSelect",
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help = "week | month - gathers the data for the last full week or month"
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)
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return parser
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def make_request(url, headers,verify,parameters):
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try:
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response = requests.get(url, headers=headers,verify=verify,params=parameters)
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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 previous_week_range(date):
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start_date = date + datetime.timedelta(-date.weekday(), weeks=-1)
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end_date = date + datetime.timedelta(-date.weekday() - 1)
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return start_date, end_date
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def previous_month_range(date):
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end_date = date.replace(day=1) - datetime.timedelta(days=1)
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start_date = end_date.replace(day=1)
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return start_date, end_date
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def getSLO(DTAPIToken, DTENV, fromDate, toDate):
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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/slo"
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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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parameters = {
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"pageSize": 25,
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"from": int(fromDate),
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"to": int(toDate),
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"timeFrame": "GTF",
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"evaluate": True,
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"sloSelector": "text(\"CoCo-QM-Report\")"
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}
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r = make_request(DTAPIURL,headers=headers,parameters=parameters,verify=verify)
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df = pd.json_normalize(r.json()['slo'])
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return df
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def get_daily_slice(start_date, end_date):
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tempstart = start_date
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days = pd.DataFrame()
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#Add the first day
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tempend = tempstart + datetime.timedelta(hours=24)
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startms = time.mktime(tempstart.timetuple()) * 1000
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endms = time.mktime(tempend.timetuple()) * 1000
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row = {'Date':tempstart,'startTime':startms, 'endTime':endms}
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days = days.append(row,ignore_index=True)
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while tempstart < end_date:
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tempstart = tempstart + datetime.timedelta(hours=24)
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tempend = tempstart + datetime.timedelta(hours=24)
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startms = time.mktime(tempstart.timetuple()) * 1000
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endms = time.mktime(tempend.timetuple()) * 1000
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row = {'Date':tempstart,'startTime':startms, 'endTime':endms}
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days = days.append(row,ignore_index=True)
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return days
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def main() -> None:
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parser = init_argparse()
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args = parser.parse_args()
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if args.preSelect and (args.fromDate or args.toDate):
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print("--preSelect must not be used in conjuntion with --fromDate and/or --toDate")
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sys.exit()
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elif args.fromDate and not args.toDate:
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print("--fromDate only in conjunction with --toDate")
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sys.exit()
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elif args.toDate and not args.fromDate:
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print("--toDate only in conjunction with --fromDate")
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sys.exit()
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elif args.toDate and args.fromDate and not args.preSelect:
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try:
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fromDate = datetime.date.fromisoformat(args.fromDate)
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toDate = datetime.date.fromisoformat(args.toDate)
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except Exception as e:
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print("Progam closed: " + str(e))
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sys.exit()
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if toDate < fromDate:
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print("--toDate can't be older than --fromDate")
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sys.exit()
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if toDate > datetime.date.today() or fromDate > datetime.date.today():
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print("--toDate or --fromDate can't be in the future")
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sys.exit()
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elif args.preSelect and not args.fromDate and not args.toDate:
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date = datetime.date.today()
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if args.preSelect == "week":
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fromDate, toDate = previous_week_range(date)
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elif args.preSelect == "month":
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fromDate, toDate = previous_month_range(date)
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else:
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print("--preSelect must be week or month")
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sys.exit()
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else:
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print("Invalid arguments, please use --help")
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sys.exit()
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print("fromDate: " + str(fromDate))
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print("toDate: " + str(toDate))
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days = get_daily_slice(fromDate,toDate)
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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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df = pd.DataFrame()
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for index, row in days.iterrows():
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temp_df = getSLO(DTTOKEN,DTURL,row['startTime'],row['endTime'])
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temp_df['Date'] = row['Date']
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df = pd.concat([df,temp_df],ignore_index=True)
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#sort columns in a try block - if API is returning columns which are non exist, this will not fail the script
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try:
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df = df[['Date', 'id', 'enabled', 'name', 'description', 'evaluatedPercentage', 'errorBudget', 'status', 'error', 'target','warning', 'evaluationType', 'timeframe', 'metricExpression', 'filter']]
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except Exception as e:
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print("Could not rearrange columns: " + e)
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writer = pd.ExcelWriter("./"+ item +'.xlsx')
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df.to_excel(writer, sheet_name=str(item).split(" ")[0])
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writer.save()
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else:
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print("token not found, skipping " + item)
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if __name__ == "__main__":
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main()
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