Most development teams that Qxf2 works with, describe and document their APIs using Open API specification. This means, there is a set structure for folks to write tests. Handcrafting the simple test cases can be cumbersome and time consuming. Given there is a set structure, we started to look out for solutions that could create API tests based on an […]
Tcases: Auto-generating API Tests
Testing Charts using GPT-4 with Vision model
This post builds upon my prior exploration of testing charts with Transformers using the Visual Question Answering approach. I had presented charts to Transformers models like Pix2Struct and matcha from Google (which were specifically trained on charts) and then queried with questions. The outcomes proved satisfactory when the charts were well-defined with clearly labeled data points. Now, with the recent […]
Testing DALL-E by creating single panel cartoons
I tested DALL-E for a specific real-world use case. I wanted to see how good it was for producing single panel cartoons. My testing has uncovered several promising aspects, some problems that need to be addressed and an interesting testing technique for DALL-E and ChatGPT like applications. I tried summarizing my findings in a blog post like an engineer would. […]
Insights and strategies on testing Machine Learning Models
Once a machine learning model is developed and its accuracy and related metrics have been thoroughly examined, it might seem like the model is ready for real-world deployment. However in reality this is hardly the case. Major part of testing begins when the model is integrated into the application it was designed for. We at Qxf2 Services feel most of […]
Triggering Chef InSpec tests with Airflow DAG
In this post, we will show you how to write some Python code to create an Airflow “job” (aka Directed Acyclic Graph or DAG) to trigger some infrastructure tests. By creating this Airflow DAG, everyone in the team that has access to Airflow can run those tests. This post is intended for testers who want to practice writing DAGs. 1. […]
Data quality matters when building and refining a Classification Model
In the world of machine learning, data takes centre stage. It’s often said that data is the key to success. In this blog post, we emphasise the significance of data, especially when building a comment classification model. We will delve into how data quality, quantity, and biases significantly influence machine learning model performance. Additionally, we’ll explore techniques like undersampling as […]
Use pytest to run Great Expectations checkpoints
At Qxf2, we’ve successfully integrated Great Expectations into majority of our projects. We now have GitHub workflows in place to run Great Expectations checkpoints before deploying our applications to production. However, as our test suite expanded, we encountered a few challenges: 1. Triggering valid checkpoints. 2. Aggregating checkpoint results. To address these issues, we turned to pytest. In this post, […]
userauth_pubkey: key type ssh-rsa not in PubkeyAcceptedAlgorithms
At Qxf2, we initially set up some of our applications on Lightsail instances running Ubuntu 18.0. Recently, we decided to migrate these instances to AWS EC2. As part of this process, we also upgraded the Ubuntu operating system from 18.0 to 22.0. We regularly backup the database of one of the applications hosted on the Lightsail instance using a scheduled […]
Investigation of the application deployed on Kubernetes
As a tester, we work with applications deployed on Kubernetes. That means, we need to know how to interact with various components of Kubernetes. But most online tutorials start with stuff that applies mostly to developers and DevOps engineers like install, writing deploy scripts, etc. Those are not really useful to testers, at least not directly. So, in this blog, […]
Build a semantic search tool using FAISS
This post provides an overview of implementing semantic search. Why? Because too often, we notice testers skip testing more complex features like autocomplete. This might be ok in most applications. But in domain specific applications, testing autocomplete capabilities of the product is important. Since testers can benefit from understanding implementation details, in this post, we will look at how autocomplete […]