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-rw-r--r--railties/guides/rails_guides/generator.rb34
-rw-r--r--railties/guides/rails_guides/levenshtein.rb29
2 files changed, 63 insertions, 0 deletions
diff --git a/railties/guides/rails_guides/generator.rb b/railties/guides/rails_guides/generator.rb
index 6c0d9f3c3b..f93282db2e 100644
--- a/railties/guides/rails_guides/generator.rb
+++ b/railties/guides/rails_guides/generator.rb
@@ -57,6 +57,7 @@ module RailsGuides
result = view.render(:layout => 'layout', :text => textile(body))
f.write result
+ warn_about_broken_links(result) if ENV.key?("WARN_BROKEN_LINKS")
end
end
end
@@ -134,5 +135,38 @@ module RailsGuides
code_blocks[$1.to_i]
end
end
+
+ def warn_about_broken_links(html)
+ anchors = extract_anchors(html)
+ check_fragment_identifiers(html, anchors)
+ end
+
+ def extract_anchors(html)
+ # Textile generates headers with IDs computed from titles.
+ anchors = Set.new
+ html.scan(/<h\d\s+id="([^"]+)/).flatten.each do |anchor|
+ if anchors.member?(anchor)
+ puts "*** DUPLICATE HEADER ID: #{anchor}, please consider rewording" if ENV.key?("WARN_DUPLICATE_HEADERS")
+ else
+ anchors << anchor
+ end
+ end
+
+ # Also, footnotes are rendered as paragraphs this way.
+ anchors += Set.new(html.scan(/<p\s+class="footnote"\s+id="([^"]+)/).flatten)
+ return anchors
+ end
+
+ def check_fragment_identifiers(html, anchors)
+ html.scan(/<a\s+href="#([^"]+)/).flatten.each do |fragment_identifier|
+ next if fragment_identifier == 'mainCol' # in layout, jumps to some DIV
+ unless anchors.member?(fragment_identifier)
+ guess = anchors.min { |a, b|
+ Levenshtein.distance(fragment_identifier, a) <=> Levenshtein.distance(fragment_identifier, b)
+ }
+ puts "*** BROKEN LINK: ##{fragment_identifier}, perhaps you meant ##{guess}."
+ end
+ end
+ end
end
end
diff --git a/railties/guides/rails_guides/levenshtein.rb b/railties/guides/rails_guides/levenshtein.rb
new file mode 100644
index 0000000000..4010b61e26
--- /dev/null
+++ b/railties/guides/rails_guides/levenshtein.rb
@@ -0,0 +1,29 @@
+module Levenshtein
+ # Based on the pseudocode in http://en.wikipedia.org/wiki/Levenshtein_distance.
+ def self.distance(s1, s2)
+ s = s1.unpack('U*')
+ t = s2.unpack('U*')
+ m = s.length
+ n = t.length
+
+ # matrix initialization
+ d = []
+ 0.upto(m) { |i| d << [i] }
+ 0.upto(n) { |j| d[0][j] = j }
+
+ # distance computation
+ 1.upto(m) do |i|
+ 1.upto(n) do |j|
+ cost = s[i] == t[j] ? 0 : 1
+ d[i][j] = [
+ d[i-1][j] + 1, # deletion
+ d[i][j-1] + 1, # insertion
+ d[i-1][j-1] + cost, # substitution
+ ].min
+ end
+ end
+
+ # all done
+ return d[m][n]
+ end
+end