Pytest VM by Anarion Technologies
Pytest is a powerful and flexible testing framework for Python that simplifies the process of writing, organizing, and running tests. It is widely regarded for its ease of use, efficiency, and versatility, making it a popular choice among developers and testers. Pytest supports both simple unit testing as well as more complex functional, integration, and acceptance testing.
One of the standout features of Pytest is its auto-discovery capability, which automatically finds and runs all test files and test functions without the need for boilerplate code. This reduces the effort required to set up test suites. Pytest also provides detailed assertion introspection, meaning that when a test fails, it generates clear and informative error messages, making debugging easier. Pytest’s fixture system allows developers to set up complex test environments and reuse setup code across different tests. Fixtures provide a way to handle dependencies, manage resources like databases or file systems, and ensure that each test runs in a clean environment. Pytest also integrates well with other testing libraries and supports parameterized testing, enabling tests to be run multiple times with different inputs.
For larger projects or teams, Pytest offers robust support for test discovery in packages, custom plugins, and integration with continuous integration (CI) systems. It can also be extended with plugins to add additional functionality, such as code coverage, parallel test execution, or web testing.
To subscribe to this product from Azure Marketplace and initiate an instance using the Azure compute service, follow these steps:
1. Navigate to Azure Marketplace and subscribe to the desired product.
2. Search for “virtual machines” and select “Virtual machines” under Services.
3. Click on “Add” in the Virtual machines page, which will lead you to the Create a virtual machine page.
4. In the Basics tab:
- Ensure the correct subscription is chosen under Project details.
- Opt for creating a new resource group by selecting “Create new resource group” and name it as “myResourceGroup.”
5. Under Instance details:
- Enter “myVM” as the Virtual machine name.
- Choose “East US” as the Region.
- Select “Ubuntu 18.04 LTS” as the Image.
- Leave other settings as default.
6. For Administrator account:
- Pick “SSH public key.”
- Provide your user name and paste your public key, ensuring no leading or trailing white spaces.
7. Under Inbound port rules > Public inbound ports:
- Choose “Allow selected ports.”
- Select “SSH (22)” and “HTTP (80)” from the drop-down.
8. Keep the remaining settings at their defaults and click on “Review + create” at the bottom of the page.
9. The “Create a virtual machine” page will display the details of the VM you’re about to create. Once ready, click on “Create.”
10. The deployment process will take a few minutes. Once it’s finished, proceed to the next section.
To connect to the virtual machine:
1. Access the overview page of your VM and click on “Connect.”
2. On the “Connect to virtual machine” page:
- Keep the default options for connecting via IP address over port 22.
- A connection command for logging in will be displayed. Click the button to copy the command. Here’s an example of what the SSH connection command looks like:
“`
ssh [email protected]
“`
3. Using the same bash shell that you used to generate your SSH key pair, you can either reopen the Cloud Shell by selecting >_ again
or going to https://shell.azure.com/bash.
4. Paste the SSH connection command into the shell to initiate an SSH session.
Usage/Deployment Instructions
Anarion Technologies – Pytest
Note: Search product on Azure marketplace and click on “Get it now”
Click on Continue
Click on Create
Creating a Virtual Machine, enter or select appropriate values for zone, machine type, resource group and so on as per your choice.
After Process of Create Virtual Machine. You have got an Option Go to Resource Group
Click Go to Resource Group
Copy the Public IP Address
SSH into Terminal and Run these following Commands:
$ sudo su
$ sudo apt update
Verify the Version:
$ pytest –version
Create a Simple Test File: Create a new Python file, for example, test_sample.py, in your home directory or any other directory.
$ nano test_sample.py
Add the following code:
def test_addition():
assert 1 + 1 == 2
def test_subtraction():
assert 2 – 1 == 1
Run pytest: Open your terminal, navigate to the directory where you created the test file, and run:
$ pytest test_sample.py
Check the Output: If everything is working correctly, you should see an output indicating that both tests passed:
Pytest is working.
ThankYou!!!