Mark Stacy mbstacy

gitPushAdminEnforcement

gitPushAdminEnforcement uses Github API to turn off admin enforcement, run git push, and re-enable admin enforcement.

AWS EKS service provides the Kubernetes control plane. Price for EKS Service is $0.20 per hour / cluster.

Three clusters with four worker nodes.

Document Steps: (Backend Module)

Verify Module Descriptor and required interfaces
Branch folio-infrastructure
- Add new module CI/ansible/testing-add-modules.yml
  1. Register Section
  2. Deploy Section

	import pandas as pd
	import json
	data =open("/Users/mstacy/Downloads/oessgpn.json","r").read()
	dflist=json.loads(data)['results']
	df =pd.DataFrame(dflist)
	result = pd.concat([df, df['created_by'].apply(pd.Series)], axis=1).drop('created_by', axis=1)
	#endpoints
	endps=pd.DataFrame([x for x in result.endpoints])
	endps.columns=['end1','end2']
	endps.apply(pd.Series)

	#!/usr/bin/env python

	import os
	import sys
	def rename(path):
	for f in os.listdir(path):
	flist=f.split('-')
	if len(flist) >2:
	os.rename(f,"{0}.zip".format("-".join(flist[:-1])))

	import xmltodict
	import sys

	def read_xml(filename):
	with open(filename,'r') as f1:
	return xmltodict.parse("<root>{0}</root>".format(f1.read()),cdata_key='text',attr_prefix='',dict_constructor=dict)

	def search_subjects(term,doc):
	total_hits=0
	total_records=0

	import os

	def makeCamelCase(name,filename=False,removeSpecial=False):
	"""
	This funciton produces camelCase variable names or filenames. You can provide option to remove special characters.
	ARGS:
	name (string)
	KWARGS:
	filename (Boolean) - default False
	removeSpecial (Boolean) - default false

	import requests, json, os
	from sys import argv


	catalog_url = "https://libapps.colorado.edu/api/catalog/data/catalog/cuscholar.json"
	headers={"Content-Type":"application/json","Authorization":"Token {0}".format(os.getenv('LIBAPPS_APITOKEN'))}

	def get_cuscholar_data():
	#query='query={"filter":{},"projection":{"data_files.s3.key":1,"title":1,"_id":0}}'
	#url = "{0}?page_size=100&{1}".format(catalog_url,query)

	import pandas as pd

	#error file generated in bash: $cat dm-ir.log \| awk '{print $5,$8}' > errors2.txt
	err=pd.read_csv('errors2.txt',delim_whitespace=True,header=None )
	err.columns=['error_type','context_key']
	err=err.drop_duplicates()

	#Main inventory
	df=pd.read_csv('data/inventory-2019-05-30.csv',converters={i: str for i in range(0, 83)})
	df= df.drop_duplicates()

	import PyPDF2
	from sys import argv

	def getTextPdf(filename):
	'''
	Reads entire file and returns text
	'''
	#open allows you to read the file
	with open(filename,'rb') as pdfFileObj:
	#The pdfReader variable is a readable object that will be parsed