This project aims to compare and evaluate different testing frameworks for automated testing. It includes implementations using the following frameworks: unittest, pytest, nose, robot, and doctest. The goal is to assess the features, capabilities, and ease of use of each framework in order to make informed decisions for testing geospatial APIs.

The project contains separate directories for each testing framework implementation. The directories are organized as follows:

• unittest: Contains the test scripts and modules implemented using Python's built-in unittest framework.
• pytest: Includes the test scripts and modules implemented using the pytest framework.
• nose: Consists of the test scripts and modules implemented using the nose testing framework.
• tox: Contains the test scripts implemented using the Tox Framework.

Each framework implementation is self-contained within its respective directory, allowing for easy navigation and comparison between the different approaches.

Running the Tests

To execute the tests for each framework, follow the instructions below:

1. unittest: Navigate to the unittest directory and run the test script using the Python interpreter:

$ export PYTHONPATH=unit-test-service
$ python -m unittest unit-test-service/tests_unittest/conftets.py -vv

2. pytest: Navigate to the pytest directory and run the pytest command:

$ export PYTHONPATH=unit-test-service
$ pytest unit-test-service/tests_pytest/conftest.py -vv -o log_cli=true

3. nose: Navigate to the nose directory and run the nosetests command:

$ export PYTHONPATH=unit-test-service
$ nose2 unit-test-service/tests_pytest

4. tox: Navigate to the robot directory and run the robot command:

$ export PYTHONPATH=unit-test-service
$ tox -r

The project includes documentation for the geospatial API, which also contains the doctests for testing the API functionalities. To generate and view the documentation, follow these steps:

deploy docker container testing on localhost

$ docker-compose up -d

deploy docker container production on other service

$ docker-compose -f docker-compose.prod.yml up -d

Contributions to this project are welcome! If you find any issues or want to add support for additional testing frameworks, feel free to open an issue or submit a pull request. Please adhere to the project's coding standards and guidelines.

This project is licensed under the MIT License. You are free to modify and use the code in accordance with the terms specified in the license.