Technology Tales

Adventures in consumer and enterprise technology

Automating writing using R and Claude

16th April 2024

Automation of writing using AI has become prominent recently, especially since GPT came to everyone's notice. It is more than automation of proofreading but of producing the content itself, as Mark Hinkle and Luke Matthews can testify. Figuring out how to use Generative AI needs more than one line prompts, so knowing what multi-line ones will work is what is earning six digit annual salaries for some.

Recently, I gave this a go when writing a post that used content from a Reddit post thread. The first step was to extract the content from the thread, and I found that I could use R to do this. That meant installing the RedditExtractoR package using the following command:

install.packages("RedditExtractoR")

Then, I created a short script containing the following lines of code with placeholders added in place of the actual locations:

library("RedditExtractoR")

write.csv(get_thread_content("<URL for Reddit post thread>"), "<location of text file>")

The first line above calls the RedditExtractoR package for use so that its get_thread_content function could be used to scape the thread's textual content. This was then fed to write.csv for writing out a text file with content.

Once I had the text file, I could upload it to Anthropic's Claude for the next steps. Firstly, I got it to give me a summary of the thread discussion before I asked it to give me the suggested solutions to the issue. Impressively, it capably provided me with the latter.

Now armed with these answers, I set to crafting the post from them. Claude did not do all the work for me, but it certainly helped with the writing. This is something that I fancy exploring further, especially given how business computing is likely to proceed in the next few years.

Getting rid of the "Get more security upgrades through Ubuntu Pro with 'esm-apps' enabled" message when performing a system update

15th April 2024

Not so long ago, I got the above message while running sudo apt upgrade on an Ubuntu Server system. This was not the first time that this kind of thing happened to me, so I started searching the web for a solution. You do get to see complaints about advertising, but these are never useful.

Accordingly, here are some possible ways of remediating the situation:

  • Execute the following commands to disable the responsible services, renaming the configuration file to prevent it from being used (deleting or editing the configuration file to remove the unwanted content are other options):

    sudo systemctl mask apt-news.service

    sudo systemctl mask esm-cache.service

    sudo mv /etc/apt/apt.conf.d/20apt-esm-hook.conf
    /etc/apt/apt.conf.d/20apt-esm-hook.conf.disabled

  • Alternatively, simply remove the ubuntu-advantage-tools package, which contains the /etc/apt/apt.conf.d/20apt-esm-hook.conf file.
  • Another option is to remove the ubuntu-pro-client package.
  • Lastly, there also is the possibility of enabling ESM, though that was not desirable for me.

In my case, it may have been the penultimate option on the list that I chose. In any case, I was rid of the unwanted message.

Dealing with the following message issued when using Certbot on Apache: "Unable to find corresponding HTTP vhost; Unable to create one as intended addresses conflict; Current configuration does not support automated redirection"

12th April 2024

When doing something with Certbot on another website not so long ago, I encountered the above message when executing the following command (semicolons have been added to separate the lines):

sudo certbot --apache

The solution was to open /etc/apache2/sites-available/000-default.conf using nano and update the ServerName field (or the line containing this keyword) so it matched the address used for setting up Let's Encrypt SSL certificates. The mention of Apache in the above does make the solution specific to this web server software, so you will need another solution if you meet this kind of problem when using Nginx or another web server.

Using a BASH command to count the files in a directory

12th March 2024

As part of my backup workflow, I maintain a machine running OpenMediaVault that I only power up when backups are to be performed. Typically, this often happens when I have new photography images to load, and I have a NAS that acts as an online backup system. The OpenMediaVault machine is a near-offline counterpart to the NAS for added safety.

Recently, I needed to check on the number of image files in a directory from an SSH session because of a need to create a new repository for 2024. Some files from this year had ended up in the 2023 one, and I needed to be sure that nothing from last year ended in the 2024 folder, or vice versa. Getting a file count from a trusted source was a quick way of doing exactly this.

Due to clumsiness with the NAS, I had to do this using the OpenMediaVault machine. While I could go mounting drives on an interim basis, it was quicker to work from a BASH session. The trick was to use the wc command for counting the lines output by an invocation of the ls command. An example follows:

ls -l | wc -l

The -l (as in l for Lima) switch forces wc to count lines, while the counterpart (same letter) for ls forces it to list the contents in long form, one item per line. Thus, counting the number of lines gets you the count of the number of files. The call to the ls command can be customised to add other things life the number of dot files, but the above was enough for my purposes. When the files in both 2023 directories matched, I was satisfied that all was in order.

AttributeError: module 'PIL' has no attribute 'Image'

11th March 2024

One of my websites has an online photo gallery. This has been a long-term activity that has taken several forms over the years. Once HTML and JavaScript based, it then was powered by Perl before PHP and MySQL came along to take things from there.

While that remains how it works, the publishing side of things has used its own selection of mechanisms over the same time span. Perl and XML were the backbone until Python and Markdown took over. There was a time when ImageMagick and GraphicsMagick handled image processing, but Python now does that as well.

That was when the error message gracing the title of this post came to my notice. Everything was working well when executed in Spyder, but the message appears when I tried running things using Python on the command line. PIL is the abbreviated name for the Python 3 pillow package; there was one called PIL in the Python 2 days.

For me, pillow loads, resizes and creates new images, which is handy for adding borders and copyright/source information to each image as well as creating thumbnails. All this happens in memory and that makes everything go quickly, much faster than disk-based tools like ImageMagick and GraphicsMagick.

Of course, nothing is going to happen if the package cannot be loaded, and that is what the error message is about. Linux is what I mainly use, so that is the context for this scenario. What I was doing was something like the following in the Python script:

import PIL

Then, I referred to PIL.Image when I needed it, and this could not be found when the script was run from the command line (BASH). The solution was to add something like the following:

from PIL import Image

That sorted it, and I must have run into trouble with PIL.ImageFilter too, since I now load it in the same manner. In both cases, I could just refer to Image or ImageFilter as I required and without the dot syntax. However, you need to make sure that there is no clash with anything in another loaded Python package when doing this.

Upgrading Julia packages

23rd January 2024

Whenever a new version of Julia is released, I have certain actions to perform. With Julia 1.10, installing and updating it has become more automated thanks to shell scripting or the use of WINGET, depending on your operating system. Because my environment predates this, I found that the manual route still works best for me, and I will continue to do that.

Returning to what needs doing after an update, this includes updating Julia packages. In the REPL, this involves dropping to the PKG subshell using the ] key if you want to avoid using longer commands or filling your history with what is less important for everyday usage.

Previously, I often ran code to find a package was missing after updating Julia, so the add command was needed to reinstate it. That may raise its head again, but there also is the up command for upgrading all packages that were installed. This could be a time saver when only a single command is needed for all packages and not one command for each package as otherwise might be the case.

OWASP Top 10 for Large Language Model Applications

21st January 2024

OWASP stands for Open Web Application Security Project, and it is an online community dedicated to web application security. They are well known for their Top 10 Web Application Security Risks and late last year, they added a Top 10 for
Large Language Model (LLM) Applications.

Given that large language models made quite a splash last year, this was not before time. ChatGPT gained a lot of attention (OpenAI also has had DALL-E for generation of images for quite a while now), there are many others with Anthropic Claude and Perplexity also being mentioned more widely.

Figuring out what to do with any of these is not as easy as one might think. For someone more used to working with computer code, using natural language requests is quite a shift when you no longer have documentation that tells what can and what cannot be done. It is little wonder that prompt engineering has emerged as a way to deal with this.

Others have been plugging in LLM capability into chatbots and other applications, so security concerns have come to light, so far, I have not heard anything about a major security incident, but some are thinking already about how to deal with AI-suggested code that others already are using more and more.

Given all that, here is OWASP's summary of their Top 10 for LLM Applications. This is a subject that is sure to draw more and more interest with the increasing presence of artificial intelligence in our everyday working and no-working lives.

LLM01: Prompt Injection

This manipulates an LLM through crafty inputs, causing unintended actions by the LLM. Direct injections overwrite system prompts, while indirect ones manipulate inputs from external sources.

LLM02: Insecure Output Handling

This vulnerability occurs when an LLM output is accepted without scrutiny, exposing backend systems. Misuse may lead to severe consequences such as Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), Server-Side Request Forgery (SSRF), privilege escalation, or remote code execution.

LLM03: Training Data Poisoning

This occurs when LLM training data are tampered, introducing vulnerabilities or biases that compromise security, effectiveness, or ethical behaviour. Sources include Common Crawl, WebText, OpenWebText and books.

LLM04: Model Denial of Service

Attackers cause resource-heavy operations on LLMs, leading to service degradation or high costs. The vulnerability is magnified due to the resource-intensive nature of LLMs and the unpredictability of user inputs.

LLM05: Supply Chain Vulnerabilities

LLM application lifecycle can be compromised by vulnerable components or services, leading to security attacks. Using third-party datasets, pre-trained models, and plugins can add vulnerabilities.

LLM06: Sensitive Information Disclosure

LLMs may inadvertently reveal confidential data in its responses, leading to unauthorized data access, privacy violations, and security breaches. It’s crucial to implement data sanitization and strict user policies to mitigate this.

LLM07: Insecure Plugin Design

LLM plugins can have insecure inputs and insufficient access control. This lack of application control makes them easier to exploit and can result in consequences such as remote code execution.

LLM08: Excessive Agency

LLM-based systems may undertake actions leading to unintended consequences. The issue arises from excessive functionality, permissions, or autonomy granted to the LLM-based systems.

LLM09: Overreliance

Systems or people overly depending on LLMs without oversight may face misinformation, miscommunication, legal issues, and security vulnerabilities due to incorrect or inappropriate content generated by LLMs.

LLM10: Model Theft

This involves unauthorized access, copying, or exfiltration of proprietary LLM models. The impact includes economic losses, compromised competitive advantage, and potential access to sensitive information.

 

Adding titles and footnotes to Excel files created using SAS

14th August 2023

Using the Excel and ExcelXP destinations in the Output Delivery System (ODS), SAS can generate reports as XLSX workbooks with one or more worksheets. Recently, I was updating a SAS Macro that created one of these and noticed that there were no footnotes. The fix was a simple: add to the options specified on the initial ODS Excel statement.

ods excel file="&outdir./&file_name..xlsx" options(embedded_titles="yes" embedded_footnotes="yes");

Notice in the code above that there are EMBEDDED_TITLES and EMBEDDED_FOOTNOTES options. Without both of these being set to YES, no titles or footnotes will appear in a given worksheet, even if they have been specified in a program using TITLE or FOOTNOTE statements. In my case, it was the EMBEDDED_FOOTNOTES option that was missing, so adding that set things to rights.

The thing applies to the ExcelXP tag set, as you will find from a code sample that SAS has shared on their website. That was what led me to the solution to what was happening in the Excel ODS destination in my case.

Using associative arrays in scripting for BASH version 4 and above

29th April 2023

Associated arrays get called different names in different computing languages: dictionaries, hash tables and so on. What is held in common is that they essentially are lists of key value pairs. In the case of BASH, you need at least version 4 to make use of this facility. In Linux Mint, I get 5.1.16, but macOS users apparently are still on BASH 3, so this post may not help them.

To declare an associative array in a later version of BASH, the following command gets issued:

declare -A hashtable

The code to add a key value pair then takes the following form:

hashtable[key1]=value1

Several values can be added to an empty array like this:

hashtable=( ["key1"]="value1" ["key2"]="value2" )

Declaration and instantiation of an associative can be done in the same line as follows:

declare -A hashtable=( ["key1"]="value1 ["key2"]="value2")

Handily, it is possible to loop through the entries in an associative array. It is possible to do this for keys and for values, once you expand out the appropriate list. The following expands a list of values:

"${hashtable[@]}"

Expanding a list of values needs something like this:

"${!hashtable[@]}"

Looping through a list of values needs something like the following:

for val in "${hashtable[@]}"; do echo "$val"; done;

The above has been placed on a single line with semicolon delimiters for brevity, but this can be put on several lines with no semicolons for added clarity as long as correct indentation is followed. It is also possible to similarly loop through a list of keys:

for key in "${!hashtable[@]}"; do echo "key: $key, value ${hashtable[$key]}"; done;

For the example associative array declared earlier, the last line produces this output, resolving the value using the supplied key:

key: key2, value value2
key: key1, value value1

All of this found a use in a script that I created for adding new Markdown files to a Hugo instance because there was more than one shortcode that I wished to apply due to my having more than one content directory in use.

String replacement in BASH scripting

28th April 2023

During creation of new posts for a Hugo deployed website, I found myself using the same directories again and again. Since I invariably ended up making typing mistakes when I did so, I fancied the idea of using shortcodes instead.

Because I wanted to turn the shortcode into the actual directory name, I chose the use of text replacement in BASH scripting. Thankfully, this is simple and avoids the use of regular expressions, which can bring their own problems. The essential syntax is as follows:

variable="${variable/search text/replacement}"

For the variable, the search text is substituted with the replacement straightforwardly. It is even possible to include the search and replacement text in variables. In the example below, this is achieved using variables called original and replacement.

variable="${variable/$original/$replacement}"

Doing this got me my translatable shortcodes and converted them into actual directory names for the hugo command to process. There may be other uses yet.

  • The content, images, and materials on this website are protected by copyright law and may not be reproduced, distributed, transmitted, displayed, or published in any form without the prior written permission of the copyright holder. All trademarks, logos, and brand names mentioned on this website are the property of their respective owners. Unauthorised use or duplication of these materials may violate copyright, trademark and other applicable laws, and could result in criminal or civil penalties.

  • All comments on this website are moderated and should contribute meaningfully to the discussion. We welcome diverse viewpoints expressed respectfully, but reserve the right to remove any comments containing hate speech, profanity, personal attacks, spam, promotional content or other inappropriate material without notice. Please note that comment moderation may take up to 24 hours, and that repeatedly violating these guidelines may result in being banned from future participation.

  • By submitting a comment, you grant us the right to publish and edit it as needed, whilst retaining your ownership of the content. Your email address will never be published or shared, though it is required for moderation purposes.