Refactored and solved bugs

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# Unit Tests
This directory contains unit tests for various custom components in the project, such as the custom lookup plugin `docker_cards` used in the `docker-portfolio` role.
## Overview
The unit tests are written using Pythons built-in `unittest` framework. They are designed to verify that your custom logic works as expected—such as extracting metadata from role files—without needing to run the entire playbook.
## Running the Tests
You can run the tests using one of the following methods:
1. **Using Unittest Discovery:**
From the project's root directory, run:
```bash
python -m unittest discover -s tests/unit
```
This command will discover and execute all test files within the `tests/unit` directory.
2. **Running a Specific Test File:**
If you want to run only the Docker cards test, execute:
```bash
python tests/unit/test_docker_cards.py
```
## How It Works
- **Setup:**
The test script creates a temporary directory to simulate your roles folder. It then creates a sample role (`docker-portfolio`) with a `README.md` file (containing a header for the title) and a `meta/main.yml` file (with the required metadata).
- **Execution:**
Dummy variable values for `domains` and `applications` are provided (these are the variables the lookup plugin expects). The lookup plugin is then run, which processes the sample role and returns the card information.
- **Verification:**
The test uses assertions to ensure that the output contains the expected title, description, icon information, constructed URL, and the correct iframe flag.
- **Cleanup:**
After the test completes, the temporary directory is removed, ensuring that no test artifacts remain.
## Requirements
- Python 3.6 or newer is recommended.
- All necessary dependencies for your project should be installed.
These tests help ensure that your custom code is reliable and behaves as expected, and they can be easily integrated into a Continuous Integration (CI) pipeline.
Happy testing!