How do you document and maintain robot framework remote library code and keywords?

2 How to document remote library code?

The first step to document your remote library code is to follow the coding standards and conventions of your chosen programming language and framework. This will help you to write clean, readable, and consistent code that is easy to follow and debug. You should also use meaningful and descriptive names for your variables, functions, and classes, as well as comments and docstrings to explain the logic and functionality of your code. You can use tools like pylint, flake8, or black to check and format your code according to the best practices.

3 How to document remote library keywords?

The second step to document your remote library keywords is to use the Robot Framework keyword documentation syntax. This syntax allows you to define the name, arguments, return value, and description of your keywords, as well as any tags, examples, or notes. You can use the triple-quoted docstrings in Python or the JavaDoc comments in Java to write your keyword documentation. You can also use the librarydoc tool to generate HTML documentation from your keyword docstrings. This documentation will be displayed in the Robot Framework log files and reports, as well as in the IDEs and editors that support Robot Framework.

4 How to maintain remote library code and keywords?

The third step to maintain your remote library code and keywords is to use version control and testing tools. Version control tools like git, svn, or mercurial allow you to track and manage the changes in your code, as well as collaborate with other developers and users. Testing tools like unittest, pytest, or robotframework-seleniumlibrary allow you to write and run unit tests, integration tests, and acceptance tests for your code and keywords, as well as measure their coverage and performance. You should also use continuous integration and delivery tools like Jenkins, Travis CI, or GitHub Actions to automate the testing and deployment of your remote library.

5 How to distribute and update remote library?

The fourth step to distribute and update your remote library is to use packaging and publishing tools. Packaging tools like setuptools, pip, or maven allow you to create and install your remote library as a package or a module, with its metadata, dependencies, and entry points. Publishing tools like PyPI, Maven Central, or GitHub Packages allow you to upload and share your remote library with other users and platforms. You should also use semantic versioning and changelogs to communicate the changes and updates in your remote library, as well as the compatibility and stability of each release.

6 How to get feedback and support for remote library?

The final step to document and maintain your remote library is to get feedback and support from your users and community. Feedback and support tools like GitHub Issues, Stack Overflow, or Robot Framework Forum allow you to receive and respond to questions, issues, suggestions, and reviews from your users. You should also provide clear and comprehensive instructions on how to install, use, and contribute to your remote library, as well as a license and a code of conduct. You can also use documentation and testing tools like Sphinx, MkDocs, or Robot Framework Testing Library to create and host user guides, tutorials, and examples for your remote library.