phette23

// check if an item's staging directory contains the same files as its persistent storage does
function log(msg) {
    logger.log(currentItem.getUuid() + "/" + currentItem.getVersion() + " LOGGER: " + msg);
}

// use staging API to check those files
if (staging.isAvailable()) {
    var stagingFilesAndDirs = staging.listFiles("", "**");
	for(var i = 0; i < stagingFilesAndDirs.size(); i++) {
		log(stagingFilesAndDirs.get(i));

phette23

<!-- redirect based on screen width -->
<script type="text/javascript">
console.log('Screen width: '+screen.width);
if (screen.width <= 699 && !sessionStorage.getItem("redirecting")) {
window.location.replace("./m/index.html"); //path to your mobile site
}
</script>
<!-- redirect bypass on the mobile site
such that users don't get caught in a redirect loop
uses jQuery cuz mobile site is jQuery Mobile

phette23

<?php
// this proxies ByWater Solutions' "COCE" cover image service
// which does not work over HTTPS, so fill in our libraries.cca.edu
// server as our COCE server & it intercepts requests, sending along
// data from ByWater's COCE server

// we're sending JS
header( 'Content-Type:application/javascript; charset=utf-8' );

// requests look like

phette23

document.querySelector('.about-us-image-wrapper .about-us-image').src = '/media/images/GSuite_service.width-404.jpg'

document.addEventListener('DOMContentLoaded', main)

function main() {
    var url = '/services/instructional-services-technology/g-suite-service/g-suite-news-updates/'
    fetch(url).then((resp) => resp.text())
        .then((text) => {
            // parse text of page to HTML we can navigate
            var parser = new DOMParser()

phette23

#!/usr/bin/env node
// given a set of item UUIDs, download all their attached files

// .equellarc file with credentials for API use
let options = require('rc')('equella', {})
let headers = { 'X-Authorization': 'access_token=' + options.token }
const fs = require('fs')
const request = require('request')

// construct API URL

phette23

// support ticket text, to be copied to clipboard later
var text = 'The link to this article\n\n'
// angular doc with metadata details
var doc = angular.element('.documentSummary').scope().document
var authors = doc.authors.reduce((text, author, idx, arr) => {
    text += author.fullname
    // it's _not_ the last author in the list
    if (arr.length - idx != 1) {
        text += ', '
    }

phette23

-- attachment.value1 is the file size for "file" type attachments
-- does not capture a) zip files, b) generated thumbnails
-- but the item.total_file_size column which should include this is inaccurate
SELECT be.uuid, be_name.text AS collection, SUM(CAST(a.value1 AS bigint)) AS "disk space"
FROM item i 
INNER JOIN base_entity be ON be.id = i.item_definition_id
LEFT JOIN language_string i_name ON i.name_id = i_name.bundle_id
LEFT JOIN language_string be_name ON be.name_id = be_name.bundle_id
JOIN (SELECT * FROM attachment WHERE attachment.type = 'file') a ON i.id = a.item_id
WHERE i.institution_id = 1165188

phette23

#!/usr/bin/env python2
# ################################# #
# UploadTaxonomy.py                 #
#                                   #
# added CLI by Eric Phetteplace     #
# California College of the Arts    #
# vault.cca.edu | libraries.cca.edu #
# 2014-07-32                        #
#                                   #
# Pearson's notes below             #

phette23

"""
I tested a few options for testing for inclusion in a very large (millions of items) set. Results if you're curious:
¿ python3 heapq-test.py
> List took 71.93408012390137s time
> Heap took 160.27557826042175s time
> Sorted Containers took 0.004794120788574219s time

sortedcontainers is _real_ fast.
"""
from heapq import *

phette23

import requests

# request URL looks like
# https://moodle.cca.edu/webservice/rest/server.php?wstoken=...&wsfunction=core_course_get_categories&moodlewsrestformat=json&criteria[0][key]=name&criteria[0][value]=2019SP

def get_mdl_categories(filter):
    """ obtain a list of JSON representations of Moodle course categories

    returns an array of category dicts (see their fields below)