Today, I'll be introducing a simple Python script that helps automate the process of updating version strings and namespaces in a project's files. This script is useful in scenarios where a project has multiple files that reference a particular version string or a namespace that needs to be updated regularly, for instance, in Web Services Description Language (WSDL) and XML Schema Definition (XSD) resources. This I have done manually:
This is exactly what the script does automatically. It works by walking through each file in a specified project directory, checking for an old version string/namespace, and replacing it with a new version string/namespace. It also has the capability to exclude specific files from this operation, which is sometimes necessary when dealing with specific files that should not be altered.
Here are the configuration steps to use the script (Dependencies: Python 3):
Here is the code for configRun.py:
Here is the replace_versions function where all the logic happens:
The script reads the configuration from the configRun.py file, performs the find/replace operations and prints a report indicating where replacements were made and how many replacements were made per file. If no replacements were made, it outputs the message "No replacements made in the project files".
The advantage of using a script like this is the time saved from manually searching and replacing version numbers in a large number of files. It also minimizes the potential for human error that could result from manual replacement.
Furthermore, the script has built-in flexibility. For example, you can easily update the strings to replace or add new ones by simply updating the configRun.py script. Also, you can specify files to be excluded from the operation, providing granular control over which files are affected by the version updates.
In conclusion, automating version updates in project files is a great example of how Python can be leveraged to perform routine tasks more efficiently and accurately. This not only saves precious development time but also helps maintain a more robust codebase. If you frequently find yourself making manual version updates across multiple files, give this script a try!