examples/json-formatter

To format JSON files across nested directories, the tool processes all files under an input folder and writes consistently indented results to an output folder. It preserves the original directory structure, allowing you to easily map formatted outputs back to their source files.

Yes, you can format JSON configuration files with configurable indentation and optional key sorting. The tool accepts specific parameters to set indentation width and enable alphabetical key sorting, ensuring consistently formatted configs for CI pipelines and reviews.

No external services are required to format JSON files. The solution runs entirely on Python 3.12 using an internal formatting script, allowing you to execute the process locally without connecting to external APIs or installing third-party dependencies.

The best way to apply consistent indentation to large JSON datasets is using an automated script that reads from an input directory and writes formatted files to an output directory. This ensures uniform readability across all configuration files without manual editing.

Yes, you can overwrite original JSON files in place by setting the input and output directories to the same path and applying the changes directly. This modifies the source files with the new indentation and sorting configuration without creating duplicates.