This repository contains test scripts written in Robot Framework with Selenium Library for automating and conducting comprehensive testing scenarios on the IMDb website, ensuring the functionality, performance, and user experience of the website are thoroughly validated.
The goal of this project is to create a test suite that verifies the success of three scenarios on the IMDb website using Robot Framework. Each scenario is implemented as a separate test case, and the test suite contains a total of three test cases. The scenarios to be tested are as follows:
- Given that the user is on the IMDb homepage "https://www.imdb.com/"
- When the user enters a search query "The Shawshank Redemption" (or any other movie name) in the search bar.
- And clicks the search button
- Then the search results page should display movies related to the search query.
- And the first search result should be "The Shawshank Redemption" movie, i.e., the name written in the search query.
- Given that the user is on the IMDb homepage "https://www.imdb.com/".
- When the user clicks on the "Top 250 Movies" link in the header.
- Then the user should be directed to the Top 250 Movies section page.
- And the page should display a list of the Top 250 Movies.
- And the first movie in the list should be "The Shawshank Redemption".
- Given that the user is on the IMDb homepage "https://www.imdb.com/"
- When the user clicks on the "Advanced Search" link in the search bar filter.
- Then the user would be redirected to a page containing the "Advanced Title Search" link, which they should click.
- And selects "Feature Film" as the title type.
- And selects the "Action" genre from Genres.
- And enters a start year and end year in the "Release Date" fields (2010 - 2020).
- And clicks the "Search" button.
- Then the search results page should display a list of Action movies released between 2010 and 2020, sorted by User Rating (Higher ratings appear first, i.e., descendingly).
To run the tests in this repository, follow the steps below:
- Clone the repository to your local machine:
git clone https://github.com/KhaledAshrafH/IMDb-Automation-Robot.git
-
Ensure you have Python installed. The tests were developed using Python 3.7.
-
Install the required dependencies such as: Robot Framework and Selenium Library.
-
Download the appropriate web driver for your browser (Chrome, Firefox, etc.) and add it to your system's PATH.
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Update the test variables in the
TestSuite.robotfile (if necessary) to match your test environment. The variables include:
${imdbUrl}: The URL of the IMDb homepage.${selectedMovieName}: The movie name to be used in Scenario 1.${minDate}: The start year for the search in Scenario 3.${maxDate}: The end year for the search in Scenario 3.${expectedNumOfMovies}: The expected number of movies in the top-rated movies section in Scenario 2.
To run the test suite, execute the following command:
robot imdb.robot
This command will execute all the test cases in the imdb.robot file.
After the tests complete execution, a log file and an HTML report will be generated in the log folder.
The imdb.robot file contains the test suite structure and the test cases for the three scenarios. Each scenario is implemented as a separate test case within the test suite.
The test suite structure includes:
- Settings: Libraries and configurations required for the test suite.
- Variables: Test variables used in the test cases.
- Keywords: Reusable keywords used in the test cases.
- Test Cases: Implementation of the test cases for each scenario.
After running the tests, the log and HTML report files will be generated in the log folder. The HTML report provides a detailed overview of the test execution, including the test case status, logs, and screenshots.
Contributions to this repository are welcome. If you find any issues or would like to add new features or scenarios, please open an issue or submit a pull request.
This project was developed using the Robot Framework and Selenium Library, which are open-source technologies. Special thanks to the Robot Framework and Selenium communities for their contributions and support.
This repository is licensed under the MIT License.