I'm Robin Howlett, Director of Engineering at SnapLogic, the Intelligent Integration Platform. Married to Sarah Howlett. Father of twins. Boulder, Colorado-based. Made in Ireland.

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Accessible communication with Twilio's Programmable Messaging API, JBang, and PicoCLI

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In the mid-to-late 1990s when I was in secondary school in Ireland, I chose to participate in the optional one-year Transition Year (TY) school program. TY lets students combine a regular academic school year with opportunities to participate in independent activites, including volunteer engagements.

I worked one month with the Rehab Group, a charity that provides people with a disability or disadvantage educational services and professional training. As I had developed a decent familiarity with personal computers by then, my responsibility was to train basic computer skills.

Those individuals’ disadvantages included prosthetic limbs, speech impediments, and learning difficulties, among others. Many had never used a computer before. For those that struggled to type, I introduced voice recognition software (Dragon Dictate), so they could speak into a microphone to “write” emails to relatives. I showed them how to use Microsoft Word and find information using a web browser.

There was one incident however that stuck with me all these years later. An elderly gentleman entered the training room and sat down at the computer, visibly nervous.

The first thing I did with every person was to ask them turn on the desktop computer via a button on the front of the box. Most pressed the button without issue, but he was extremely hesitant to touch the device.

I demonstrated the various components - the monitor, the keyboard, the mouse. He expressed concern that if he did the wrong thing, would the computer “blow up”? I reassured him that we were safe and that the computer would not physically harm him.

Once Windows had loaded and the desktop was displayed, it was time for the first lesson - opening an application.

“Move the mouse to the Start Menu over here please”, I said.

He glanced at me, nodded, and looked at the mouse. He then picked it up, raising it into the air and held it to the bottom-left corner of the monitor’s screen.

I do not tell this story to mock him. What I realized that day is the interfaces we use with computers should not be assumed to be natural. That the instructional language we use is often abstract and assumes a level of technical familiarity above what people may be comfortable with, or even capable of.

Ever since then, I’ve always been drawn to designs and solutions that leveraged technology in a manner that people like that gentleman at Rehab could avail of.

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Parsing structured data within PDF documents with Apache PDFBox

PDF continues to be a popular document publishing format because users see them as the digital equivalent of paper documents. Unlike websites, often what you see on the PDF will be exactly how it will be printed on a physical page, with the added benefits of easily distributable files and near-ubiquitous support of software able to read this format on almost any standard digital device.

However, when information, especially structured data, is contained within a PDF document and one wishes to extract that content, the format becomes quite difficult for developers to interact with.

In this post, I outline a real-world example of parsing a large PDF file that contains repeated tables of data. I show how the raw text can be extracted and then detail much more low-level control over the text characters positioned within the pages. I also touch on the actual mechanics of working through a problem like this - using tools like Excel to explore and analyze both the nature of the PDF, as well as the vagaries of the data itself.

BCBC Results Snippet

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Solved: When the Maven Deploy Plugin silently fails to deploy

At SnapLogic, we recently noticed that a particular build job that was responsible for deploying build artifacts to a Nexus repository via Maven had suddenly stopped, well, deploying. What was odd was that no error of any kind was being communicated, even in DEBUG mode.

Examining the history of the repository, what had changed was the addition of a new module (“slbugs”) to the existing multi-module Maven build. This module’s reposibility was to run some code health checks using Google’s error-prone static analysis tool to catch some programming mistakes that our developers occassionally made that had a negative effect at runtime.

What was different about this module versus the others was that it did not use the root POM as a parent (as it was sufficiently different from the other more product-focused modules). The other modules were also configured to use the deployAtEnd parameter of the parent’s maven-deploy-plugin plugin configuration.

The problem was that each of the product modules would log that they would be deployed at the end of the build, but after the last module ran its deploy phase, nothing would happen - no uploading of artifacts would be attempted, no warnings or debug messages logged to explain the inaction, and the build would just end with a SUCCESS status.

The solution turned out to be related to the wonderful world of Maven classloaders.

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Visualizing inefficient multi-ticket horizontal wagering tickets

Between PPs, result charts, and wagering ticket summaries, the way that horse racing information has been presented to regular fans hasn’t changed very much over the years. In this post, I use data visualizations to try to increase comprehension of advanced wagering advice.

It was May of 2017 when, deep into the development of Handycapper, I took a break and browsed Twitter.

I saw a tweet from Darin Zoccali (@atTheTrack7) referencing a column he published at DRF.com titled, “Trust is a must or your handicapping game is a bust” (archive link).

In this column, Darin explained how a well-known wagering professional, @InsideThePylons (ITP), had called out inefficiencies and mistakes in the construction of Pick 4 tickets Darin had posted in late 2016. Darin reported that this advice had helped him wager smarter, increase churn, and win far more when his opinion was correct.

Intrigued, I wanted to find this conversation, and, with a little Twitter Search-fu, I was able to locate the Pick 4 in question.

As I tried to understand the finer points of ticket construction @InsideThePylons was making, I remember making a mental note that this kind of feedback would be a great candidate to potentially benefit from data visualizations to aid understanding, for the average racing fan, of the interaction between Darin and ITP.

dataviz

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Building a Google Chrome Extension (Keyboard Shortcuts, Copying to the Clipboard, and Notifications)

I recently had the quite enjoyable and productive experience of writing Pipeline Linker, my first Google Chrome Extension.

As part of my work with SnapLogic, an enterprise integration platform-as-a-service (iPaaS) provider, I often have to navigate to Pipelines (hosted graphical representations of integrations) across multiple environments (both internal and customer-facing), client accounts, and project folders.

In turn, as the manager of my team, I regularly direct team members to Pipelines that require attention through email, Hangouts, JIRA, Zendesk, and Slack.

For whatever reason, our product had not provided an easy way of linking directly to these pipelines (you had to switch to a different tab and perform a search, before right-clicking on a table entry and copying the link).

Over a weekend, I was pleasantly surprised by the ease and speed I was able to learn and implement a Chrome Extension that would address this gap, as well as add some features that I, in particular, value.

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