dataops-testgen 2.2.0

DataKitchen Inc. Data Quality Engine

DataOps Data Quality TestGen

DataOps Data Quality TestGen, or "TestGen" for short, can help you find data issues so you can alert your users and notify your suppliers. It does this by delivering simple, fast data quality test generation and execution by data profiling, new dataset screening and hygiene review, algorithmic generation of data quality validation tests, ongoing production testing of new data refreshes, and continuous anomaly monitoring of datasets. TestGen is part of DataKitchen's Open Source Data Observability.

Features

What does DataKitchen's DataOps Data Quality TestGen do? It helps you understand and find data issues in new data.

It constantly watches your data for data quality anomalies and lets you drill into problems.

A single place to manage Data Quality across data sets, locations, and teams.

Installation with dk-installer

The dk-installer program installs DataOps Data Quality TestGen.

Install the prerequisite software

Software	Tested Versions	Command to check version
Python - Most Linux and macOS systems have Python pre-installed. - On Windows machines, you will need to download and install it.	3.9, 3.10, 3.11, 3.12	python3 --version
Docker Docker Compose	25.0.3, 26.1.1, 2.24.6, 2.27.0, 2.28.1	docker -v docker compose version

Download the installer

On Unix-based operating systems, use the following command to download it to the current directory. We recommend creating a new, empty directory.

curl -o dk-installer.py 'https://raw.githubusercontent.com/DataKitchen/data-observability-installer/main/dk-installer.py'

• Alternatively, you can manually download the dk-installer.py file from the data-observability-installer repository.
• All commands listed below should be run from the folder containing this file.
• For usage help and command options, run python3 dk-installer.py --help or python3 dk-installer.py <command> --help.

Install the TestGen application

The installation downloads the latest Docker images for TestGen and deploys a new Docker Compose application. The process may take 5~10 minutes depending on your machine and network connection.

python3 dk-installer.py tg install

The --port option may be used to set a custom localhost port for the application (default: 8501).

To enable SSL for HTTPS support, use the --ssl-cert-file and --ssl-key-file options to specify local file paths to your SSL certificate and key files.

Once the installation completes, verify that you can login to the UI with the URL and credentials provided in the output.

Optional: Run the TestGen demo setup

The Data Observability quickstart walks you through DataOps Data Quality TestGen capabilities to demonstrate how it covers critical use cases for data and analytic teams.

python3 dk-installer.py tg run-demo

In the TestGen UI, you will see that new data profiling and test results have been generated.

Installation with pip

Install the prerequisite software

Software	Tested Versions	Command to check version
Python - Most Linux and macOS systems have Python pre-installed. - On Windows machines, you will need to download and install it.	3.10, 3.11, 3.12	python3 --version

In python's terminal

pip install data-ops-testgen

Set the following environment variables:

TESTGEN_USERNAME=
TESTGEN_PASSWORD=
TG_DECRYPT_SALT=
TG_DECRYPT_PASSWORD=

Optional: Run the TestGen demo setup

Create a DataBase: With an observability api key:

testgen quick-start --delete-target-db --observability-api-key <OBSERVABILITY_API_KEY> --observability-api-url <OBSERVABILITY_API_URL>

Without an observability api key:

testgen quick-start --delete-target-db

Run profile:

testgen run-profile --table-group-id 0ea85e17-acbe-47fe-8394-9970725ad37d

Run test generation:

testgen run-test-generation --table-group-id 0ea85e17-acbe-47fe-8394-9970725ad37d

Run test execution:

testgen run-tests --project-key DEFAULT --test-suite-key default-suite-1

Simulate a fast forward in the target data:

testgen quick-start --simulate-fast-forward

Modify Streamlit's internals with custom static files for the first time:

testgen ui patch-streamlit -f

To run TestGen UI using pip

Run TestGen UI

testgen ui run

Product Documentation

DataOps Data Quality TestGen

Useful Commands

The dk-installer and docker compose CLI can be used to operate the installed TestGen application. All commands must be run in the same folder that contains the dk-installer.py and docker-compose.yml files used by the installation.

Remove demo data

After completing the quickstart, you can remove the demo data from the application with the following command.

python3 dk-installer.py tg delete-demo

Upgrade to latest version

New releases of TestGen are announced on the #releases channel on Data Observability Slack, and release notes can be found on the DataKitchen documentation portal. Use the following command to upgrade to the latest released version.

python3 dk-installer.py tg upgrade

Uninstall the application

The following command uninstalls the Docker Compose application and removes all data, containers, and images related to TestGen from your machine.

python3 dk-installer.py tg delete

Access the testgen CLI

The testgen command line can be accessed within the running container.

docker compose exec engine bash

Use exit to return to the regular terminal.

Stop the application

docker compose down

Restart the application

docker compose up -d

What Next?

Getting started guide

We recommend you start by going through the Data Observability Overview Demo.

Support

For support requests, join the Data Observability Slack 👋 and post on the #support channel.

Connect to your database

Follow these instructions to improve the quality of data in your database.

Community

Talk and learn with other data practitioners who are building with DataKitchen. Share knowledge, get help, and contribute to our open-source project.

Join our community here:

• 👋 Join us on Slack, this is also how you get support (see above)

• 🌟 Star us on GitHub

• 🐦 Follow us on Twitter

• 🕴️ Follow us on LinkedIn

• 📺 Get Free DataOps Fundamentals Certification

• 📚 Read our blog posts

• 🗃 Sign The DataOps Manifesto

• 🗃 Sign The Data Journey Manifesto

Contributing

For details on contributing or running the project for development, check out our contributing guide.

License

DataKitchen's DataOps Data Quality TestGen is Apache 2.0 licensed.