Andrew B. Collier / @datawookie

In the last few posts we’ve looked at a few ways to set up the infrastructure for a Selenium crawler using Docker to run both the crawler and Selenium. In this post we’ll launch this setup in the cloud using AWS Elastic Container Service (ECS).

In the last few posts we’ve looked at a few ways to set up the infrastructure for a Selenium crawler using Docker to run both the crawler and Selenium. In this post we’ll launch this setup in the cloud using AWS Elastic Container Service (ECS).

In two previous posts we’ve looked at how to set up a simple scraper which uses Selenium in Docker, communicating via the host network and bridge network. Both of those setups have involved launching separate containers for the scraper and Selenium. In this post we’ll see how to wrap everything up in a single entity using Docker Compose.

In the previous post we set up a scraper template which used Selenium on Docker via the host network. Now we’re going to do essentially the same thing but using a bridge network.

This post will show you how to set up the following:

• a Selenium instance and
• a simple script connecting to Selenium.

Both of these will run in Docker containers and will communicate over the host network.

I’ve taken another look at the {hagr} data, which I wrote about previously. This time I’m focusing on the hierarchy of creatures.

Taxonomic Rank

The Linnaean Taxonomy is a hierarchical classification system for organisms devised by Carl Linnaeus. An organism is assigned to the following levels in the hierarchy (in increasing order or granularity):

• domain
• kingdom
• phylum
• class
• order
• family
• genus and
• species.

The relative level of a group of organisms in this hierarchy determines its taxonomic rank.

I came across the Human Ageing Genomic Resources. They are doing some fascinating work and expose some engrossing data. I wanted to make the data easier for me to work with, and an R package seemed to be the natural vehicle to do this.

For more information on these data, take a look at this article: Tacutu, Craig, Budovsky, Wuttke, Lehmann, Taranukha, Costa, Fraifeld and de Magalhaes, “Human Ageing Genomic Resources: Integrated databases and tools for the biology and genetics of ageing,” Nucleic Acids Research 41(D1):D1027-D1033, 2013.

Has the price of Easter Eggs shot up since last year? Let’s use data from Trundler to investigate. I’ll do the analysis in R using the {trundler} package.

The Google Mobility Data (or Community Mobility Reports) refers to the datasets provided by Google which track how people move and congregate in various locations during specific time periods. The data is based on anonymised location information from users who have opted into Location History on their Google accounts.

Fathom Data is working on a project to reproduce the figures from the CORE textbook The Economy using R and {ggplot2}. There’s a strict style guide which specifies the figure aesthetics including colours and font. We’re a team of seven people working on as many different setups. The principle challenges have been package versions and fonts.

I’ve been following an excellent tutorialfor deploying a Docker image on an EC2 instance via GitLab CI/CD. It covers every step in the process in great detail. If you follow the steps then you’ll definitely end up with a working pipeline.

However, I still wasn’t quite sure how to handle the environment variables and credentials that I wanted to bake into the image, and which varied between my local development environment and the final deployed image.

📢 An updated version of this post reflecting recent changes in GitLab Runner can be found here.

I’ve got a project which takes a long time to build. And I rebuild it regularly. I’ve been using the shared runners on GitLab. However, the total time constraint has become a limitation. I’m going to install GitLab Runner as a Docker service on an underutilised EC2 instance.

Two new features in the {emayili} (0.4.6) package for easily sending emails from R.

Package Setup

If you have not already installed the package, then grab it from CRAN or GitHub.

# From CRAN.
install.packages("emayili")
# From GitHub.
remotes::install_github("datawookie/emayili")

Load the package.

library(emayili)

Check that you have the current version.

packageVersion("emayili")

[1] ‘0.4.6’

Let’s quickly set up an SMTP server. We’ll use SMTP Bucket, which is incredibly convenient for testing.

SMTP_SERVER   = "mail.smtpbucket.com"
SMTP_PORT     = 8025

smtp <- server(host = SMTP_SERVER, port = SMTP_PORT)

UTF-8 Characters in Attachment Filenames

It’s now possible to attach files with names that include non-ASCII characters. Suppose I wanted to send this image (source) of Wenceslao Moreno.

I’ve been hosting a MySQL database on a DigitalOcean server for a few of years. The project has been on hold for a while. Entropy kicked in and the server became unreachable. Fortunately I was still able to access the server via a recovery console to export the database using mysqldump and download the resulting SQL dump file.

Now I want to resurrect the database locally but I also want to migrate it to PostgreSQL.

Inspired by the informative post from Jumping Rivers about selecting the correct image file type, I decided to optimise PNG file size as part of this blog’s CI pipeline.

Suppose that you want to use {emayili} to send birthday messages (this post motivated by issue #61).

I ran into a bit of a snag when updating a {blogdown} site. Suddenly, inexplicably, the images were no longer present.

I have a rather obscure situation where I want to launch Selenium… but with JavaScript disabled.

According to the Automobile Association (AA) the fuel price is the sum of four main components:

• the basic fuel price
• the general fuel levy
• the Road Accident Fund (RAF) levy and
• wholesale and retail margins, distribution and transport costs.

This article suggests that almost 70% of the fuel price in South Africa is due to taxes and levies.

How much of South Africa's petrol price goes to taxes https://t.co/m96j0TaKlS

— BusinessTech (@BusinessTechSA) January 29, 2021

I used data from {saffer} to examine this assertion.

I started using rain (a South African ISP) back in March 2019. The coverage was good (the only place I couldn’t get a signal was at Lanseria Airport), while the bandwidth was consistently high. I loved the fact that it was affordable, reliable and portable.

Much has changed.

I have a project where I need to have a persistent Selenium session. There’s a script which will leave a browser window open when it exits. When the script runs again it should connect to the same window.

The transcripts for the South African President’s speeches are available here. I’ve just added these data to the {saffer} package.

I’ve been adding topological maps of South Africa to the saffer-data-map repository. The maps are originally in MrSID format (.sid files), which is a proprietary file format developed by LizardTech (a company which has been consumed by Extensis).

The {saffer} package is a nascent collection of things relating to South Africa. I’ve just added fuel price data.

I have a SQLAlchemy count() query which is being called fairly frequently in my API. The query itself is not terribly inefficient, but it’s being called with sufficient frequency that it has a performance impact.

A couple of days ago I posted an analysis of the price of nitrile gloves at Dischem.

I had a suspicion that there was more data beyond the history that I got from Strava (see previous post). And indeed my hunch was confirmed by downloading my history from Garmin Connect.

My colleague, Matt, noted that nitrile gloves are getting really expensive.

I’ve been itching to do some analytics on my running data. Today seemed like a good time to actually do it.

I’ll be generating some plots using the {strava} package developed by Marcus Volz.

I needed to have a Redis server available as part of the GitLab CI pipeline for this blog (simply because I wanted to use the {rredis} package). After fiddling around for some time trying to install the redis-server package using apt I discovered that GitLab CI actually provides Redis as a service, which makes the process remarkably easy.

Some details of the “standard” services (Redis, PostgreSQL and MySQL) supported by GitLab CI can be found here:

I’m busy preparing slides for the Why R? conference using the brilliant {xaringan} package along with {xaringanthemer} to tweak the styles. There are plots rendered into the document as well as static images.

The scrapy-rotating-proxies package makes it simple to use rotating proxies with Scrapy.

One issue that I’ve run into though is that pages which return a 404 error are retried (and the corresponding proxy is marked as dead). This does not make sense to me since if a server returns a 404 error this generally means that the requested page is just not available. It’s not a proxy problem; it’s a URL problem.

I occasionally need to upload the contents of a CSV file to a MySQL database. It happens sufficiently infrequently that I need to remind myself how it works each time. Hopefully this will make it easier next time around.

The Data.

Suppose that you have a file, prices.csv, that looks like this:

"time","product","price"
2020-06-03 22:33:39,"Basic T-Shirt",299
2020-07-22 21:32:21,"Pique Polo",429
2020-04-07 05:38:17,"COUNTRY ROAD Slub Frill T-Shirt",299
2020-04-23 03:54:09,"Caribbean Tan Mousse Gradual A 150ml",95.95
2020-04-01 05:01:29,"Pulled Pork Shoulder 500g",79.99
2020-05-15 12:26:48,"Back To Work Blazer",2299
2020-07-13 06:28:27,"Funnel Neck Cardigan",1499
2020-06-03 17:07:50,"Extra Depth 180TC Cotton Blend Fitted Sheet",279
2020-07-28 02:00:29,"Clover Seal Full Cream Fresh Milk 1l",17.99

Create Table

First we need to create a table.

What’s the quickest way to spin up a local development database? Using Docker, of course!

From time to time you might need to resize one of the volumes attached to an EC2 instance. Perhaps it’s too big and you’re wanting to downsize? Or maybe it’s too small and you’re wanting to upscale? You only have the option of increasing the size of a volume. If you want a smaller one, then you’ll need to create a new volume and migrate the data across. However, if you’re making it bigger, then everything you need to know is in this post.

Suppose you have an app running on a Shiny server and you want to add HTTP authentication so that it’s only accessible via a username and password. This can be done using NGINX.

Test Shiny Server

The Shiny server should be accessible at http://localhost:3838/ (assuming you’re running Shiny server on localhost). 📢 Substitute another IP address or DNS entry if you’re running on another machine.

Have you ever noticed how things seem to get really expensive at specific times of the year? Like Mother’s Day and Valentine’s Day? Have you ever felt a bit ripped off when buying an over-priced bouquet of flowers or box of chocolates? Have you ever wondered just how much those prices have been inflated?

Of course you have!

But it’s always been a niggling suspicion, never a fact. Where’s the evidence?

I’ve been wanting to gather data on retail prices for quite some time. Finally, just before Christmas 2019, I had some time on my hands, so I started to put something together.

Private Security is a big industry in South Africa. Most Private Security companies promise to provide a rapid response to every callout generated by any of their customers. There is a delicate balance between the number of response vehicles and the number of customers (and the frequency of their callouts!), which determines whether or not they are able to honour this promise.

On the one hand, more response vehicles result in lower response times. However, these vehicles are expensive to maintain and staff. Fewer vehicles are more cost effective, but make it difficult to maintain a high level of service.

Linux has really come a long way. I used to arrive at the podium and hook up my (Linux) laptop with the resigned expectation that there would be some tweaking involved to get it to speak to the projector. However the support for video hardware has evolved massive and nowadays I don’t ever think about this: it just works.

Until it doesn’t.

This week I was speaking at a conference where the video setup was extremely pernickety. It required a resolution of 1280 by 720 at a frequency of 50 Hz. Try and setup that up using the desktop display configuration tools in Ubuntu… it just doesn’t seem to be possible.

Your data are valuable. If, God forbid, some disaster befalls your database then you should have a plan in place for how to recover your data. In this post I describe a simple strategy for backing up a MySQL database. This might not be the best approach, but it has worked for me.

I need to deploy Shiny on a Windows machine. I also need to use {checkpoint} for package management. Using Docker seems to be the only reasonable approach to Shiny on Windows. But how easy would it be to also factor {checkpoint} into this setup?

Only one reasonable way to find out: give it a try.

Below is the simple Dockerfile I used. Here are the fundamental components of what it does:

I was inspired by this visualisation, showing the optimal routes (by car) from the geographic centre of the USA to all counties.

If you have multiple applications accessing OSRM data then it does not make sense for each of those to have a separate copy of the data resident in memory. This is especially true if you’re using a relatively large map, in which case memory consumed by multiple processes might be enormous.

An alternative is to store the map data in shared memory, allowing multiple processes to access a single copy of the data. The official OSRM documentation for using shared memory can be found here. This post gives further details.

For some time I’ve wanted to recreate the cover art from Joy Division’s Unknown Pleasures album. The visualisation depicts successive pulses from the pulsar PSR B1919+21, discovered by Jocelyn Bell in 1967.