Ray Voelker rayvoelker

## README.md

      
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                Hybrid Patron Pseudonymizer
              
          
    HybridPatronPseudonymizer

The HybridPatronPseudonymizer is a Python class that implements a hybrid encryption system that results with a deterministic ciphertext (the encrypted content) output for a given plaintext input. Hybrid encryption combines the benefits of both symmetric and asymmetric encryption.
Introduction

Protecting the privacy of patrons is of utmost importance for institutions that handle sensitive data. In some cases, the responsibility of safeguarding this privacy is intesified by by law, regulations or even internal institutional policy. In this context, the provided Python module serves as a powerful tool that aims to strike a balance between ensuring patron data confidentiality and preserving its analytical utility.
Pseudonymization is a data protection technique where personally identifiable information (PII) fields within a data record are replaced with artificial identifiers or pseudonyms. This method prioritizes data subject privacy while also facilitating data anal

  
## original_circ.md

      
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                some notes on finding "orginal circ"
              
          
    Finding Original Circulation

finding checkouts without any paired "filled hold" transactions will be how we define an "original circ".
the idea is that we match a "filled hold" with a 'checkout' based on 4 points of data
op_code,
patron_record_id,
item_record_id,
transaction_gmt

  
## ezproxy_log_analysis.py
import re
import csv
from dateutil import parser

"""Converts the (apache style) ezproxy log file into .csv files for easier analysis.

Current EZproxy config for log output:
(https://help.oclc.org/Library_Management/EZproxy/Configure_resources/LogFormat)

LogFormat %h %{ezproxy-session}i %u %t "%r" %s %b

## rifftrax_sync.md

      
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              February 26, 2023 09:47
            
          
    How To Sync Your Movie to the Professional Jokes By Professional Comedy Professionals (AKA RiffTrax)

Intro

This guide started off as a sort of checklist for myself to try to
refine, and speed up the process. I'm sure that there are a good number
of things that can be improved upon, but in my opinion, the steps below
produce pretty consistently good results. Hopefully this will help

  
## locCallClass.html
<!DOCTYPE html>
<html>
<head>
	<meta charset="utf-8">
	<title>locCallClass test sorting of call numbers</title>
	<script type="text/javascript" src="./locCallClass.js"></script>
</head>

<body style="font-family:monospace;">

## nginx.conf
upstream plex-upstream {
	# change plex-server.example.com:32400 to the hostname:port of your plex server.
	# this can be "localhost:32400", for instance, if Plex is running on the same server as nginx.
	server plex-server.example.com:32400;
}

server {
	listen 80;

	# server names for this server.
	import re
	import csv
	from dateutil import parser

	"""Converts the (apache style) ezproxy log file into .csv files for easier analysis.

	Current EZproxy config for log output:
	(https://help.oclc.org/Library_Management/EZproxy/Configure_resources/LogFormat)

	LogFormat %h %{ezproxy-session}i %u %t "%r" %s %b
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<title>locCallClass test sorting of call numbers</title>
	<script type="text/javascript" src="./locCallClass.js"></script>
	</head>

	<body style="font-family:monospace;">
	upstream plex-upstream {
	# change plex-server.example.com:32400 to the hostname:port of your plex server.
	# this can be "localhost:32400", for instance, if Plex is running on the same server as nginx.
	server plex-server.example.com:32400;
	}

	server {
	listen 80;

	# server names for this server.