autolesshint

autolesshint is a tool to automatically fix Lesshint >=v4.0.0 complaints.

• Installation
• CLI usage
• Supported rules
• Contributing

Installation

Run the following command from the command line (add -g to install globally):

npm install autolesshint

CLI usage

Run autolesshint from the command-line by passing one or more files/directories to recursively scan.

autolesshint src/less/ lib/style.less

Available Flags	Description
-c/--config	Specify the configuration file to use (will be merged with defaults).
-e/--exclude	A minimatch glob pattern or a file to exclude from being linted.
-V/--version	Show version.

Supported rules

• attribute_quotes
• border_zero
• comment
• empty_rule
• final_newline
• hex_length
• hex_notation
• newline_after_block
• single_line_per_selector
• space_before_brace
• space_between_parens
• string_quotes
• trailing_semicolon
• trailing_whitespace
• url_quotes
• zero_unit

See the Complete rule coverage milestone for upcoming coverage support.

Unsupported rules

These rules contain logic that require user input and can't be automatically fixed:

• depth_level
• duplicate_property
• hex_validation
• id_selector
• import_path
• important_rule
• max_char_per_line
• property_units
• qualifying_element
• selector_naming
• url_format

Contributing

autolesshint uses Gulp to automate building, which requires Node.js.

To build from scratch, install NodeJS and run the following commands:

npm install -g gulp
npm install
gulp

automutate manages the runtime of taking in lint complaints from lesshint. These are mapped to Suggester classes in src/suggesters by name.

automutate-tests manages development-time tests verifying actual file mutations.

Adding a suggester

• Add a Suggester class with a linter's name. my_rule would be mapped to src/suggesters/myRuleSuggester.ts that would have to export a MyRuleSuggester class that implements the ISuggester interface.
• Add test case(s) under test/cases that each have an original.less, expected.less, actual.less, and .lesshintrc.
• Add the suggester to the list in README.md.
• Submit a PR referencing the issue corresponding to the lint rule.