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github.com/premailer/css_parser
Load, parse and cascade CSS rule sets in Ruby.
gem install css_parser
require 'css_parser'
include CssParser
parser = CssParser::Parser.new
parser.load_uri!('http://example.com/styles/style.css')
parser = CssParser::Parser.new
parser.load_uri!('file://home/user/styles/style.css')
# load a remote file, setting the base_uri and media_types
parser.load_uri!('../style.css', {base_uri: 'http://example.com/styles/inc/', media_types: [:screen, :handheld]})
# load a local file, setting the base_dir and media_types
parser.load_file!('print.css', '~/styles/', :print)
# load a string
parser = CssParser::Parser.new
parser.load_string! 'a { color: hotpink; }'
# lookup a rule by a selector
parser.find_by_selector('#content')
#=> 'font-size: 13px; line-height: 1.2;'
# lookup a rule by a selector and media type
parser.find_by_selector('#content', [:screen, :handheld])
# iterate through selectors by media type
parser.each_selector(:screen) do |selector, declarations, specificity|
...
end
# add a block of CSS
css = <<-EOT
body { margin: 0 1em; }
EOT
parser.add_block!(css)
# output all CSS rules in a single stylesheet
parser.to_s
=> #content { font-size: 13px; line-height: 1.2; }
body { margin: 0 1em; }
# capturing byte offsets within a file
parser.load_uri!('../style.css', {base_uri: 'http://example.com/styles/inc/', capture_offsets: true)
content_rule = parser.find_rule_sets(['#content']).first
content_rule.filename
#=> 'http://example.com/styles/styles.css'
content_rule.offset
#=> 10703..10752
# capturing byte offsets within a string
parser.load_string!('a { color: hotpink; }', {filename: 'index.html', capture_offsets: true)
content_rule = parser.find_rule_sets(['a']).first
content_rule.filename
#=> 'index.html'
content_rule.offset
#=> 0..21
bundle
bundle exec rake
Runs on Ruby 3.0/JRuby 9.4 or above.
By Alex Dunae (dunae.ca, e-mail 'code' at the same domain), 2007-11.
License: MIT
Thanks to all the wonderful contributors for their updates.
Made on Vancouver Island.
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Socket now supports Scala and Kotlin, bringing AI-powered threat detection to JVM projects with easy manifest generation and fast, accurate scans.
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