Blog Posts by Andrew B. Collier / @datawookie


Gatsby Site Versions

Month of Gatsby

We’re now going to bring together what we have been building in the previous two blog posts. First we added the raw AsciiDoc source into the GraphQL schema. Next we used AsciiDoc preprocessor directives to include conditional content into the rendered content pages. Specifically, we conditionally included content on pages depending on the value of a version attribute which was dynamically inserted into the raw AsciiDoc front matter. Now we are going to set up a URL structure which includes a version number and list the available documentation versions from the landing page.

Suppose that you have a product which is undergoing rapid development. Each new release of the product is assigned a unique version number. The product documentation is diligently updated in line with the evolving product. Ideally the documentation should be consistent with the latest release of the product. However, not all of your users will be using the latest version, so they should also be able to access older versions of the documentation.

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Gatsby Page Ordering

It’s often the case that we want pages on a site to be presented in a specific order. It’s possible to do this systematically by sorting on some existing aspect of the content (for example, sort alphabetically by page title) or by introducing a page attribute that’s specifically intended for sorting.

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Gatsby Redirects

Month of Gatsby

Redirects instruct web browsers to automatically reroute from one URL to another. They are especially vital when website structures change, pages get deleted, or content moves to a new location. Whether you’re rebranding, restructuring, or simply optimizing your site’s user experience, Gatsby offers powerful tools for handling redirects seamlessly. In this post, we’ll delve into the intricacies of implementing and managing redirects with Gatsby, ensuring your visitors always land in the right place.

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Adding a Sitemap with Gatsby

A sitemap serves as a navigational blueprint for search engines, ensuring they can efficiently crawl and index all essential pages of a website. By providing a structured list of URLs, a sitemap streamlines the discoverability of content, especially in complex or extensive sites. This not only optimizes search engine ranking and visibility but also ensures that any updates or new content additions are promptly recognized and indexed, thereby enhancing the site’s overall accessibility and user experience.

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Gatsby Starter Project

Gatsby is a modern, fast framework for building optimized, high-performance websites. It’s a static site generator that compiles a site into static files at build time. Under the hood it uses React (user interface library) and GraphQL (data query language).

Compared with tools like WordPress or Joomla, Gatsby feels a lot more technical and less user-friendly. The learning curve is steeper and it takes longer to get things set up. However, the reward is more flexibility and granular control over all aspects of the site.

This post runs through the steps for setting up a minimal Gatsby site.

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Why Do Sports Odds Change?

Many sports trading strategies hinge on odds changing over time. For instance, a strategy might involve laying a market at lower odds, anticipating the opportunity to back it at higher odds later on. Conversely, one might back a market at higher odds, hoping to lay it at lower odds in the future. Some strategies work with short term odds fluctuations, while others depend on longer term odds variations.

In this post I’ll take a look at some examples of odds dynamics and unpack why the odds change.

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Undetected ChomeDriver with noVNC

In a previous post I wrote about an Undetected ChromeDriver Docker image. A container derived from that image exposed a view of the Chrome session via VNC on port 5900. This worked really well. However, it meant having yet another app (the VNC client) running on my already cluttered desktop. I have extended the Docker image to use noVNC which means that I can now view the Chrome session via a web browser. This is very convenient since I always have a browser running.

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Unravelling Transparency in Coverage Data

I have a challenge: extracting data from an enormous JSON file. The structure of the file is not ideal: it’s a mapping at the top level, which means that for most standard approaches the entire document needs to be loaded before it can be processed. It would have been so much easier if the top level structure was an array. But, alas. It’s almost as if the purveyors of the data have made it intentionally inaccessible.

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What is Transparency in Coverage Data?

The Transparency in Coverage Act (bill currently before congress) is a set of regulations that aim to increase transparency in health insurance coverage in the USA. The primary goal of the act is to provide consumers with clear, accessible, and actionable information about the cover that they receive from their health insurance. What services are included? How much will the insurer pay for a specific service? And how does this change from one provider to another? Or from one geographic region to another? Answers to these kinds of questions were previously hard, if not impossible, for a consumer to access.

In principle the information covered by the regulations should include costs, benefits, and other essential details. It should ensure that consumers can make informed healthcare decisions and understand the financial implications of their choices.

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Controlling what Alembic Autogenerates

Alembic can autogenerate migrations. This is probably its most valuable feature. However, I had a situation where --autogenerate kept on creating migrations for the databasechangelog and databasechangeloglock tables. These are Liquibase tables and should never feature in the Alembic migrations.

The solution was to tell Alembic to ignore these tables by updating the env.py module.

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