Table of Contents for
Regular Expressions Cookbook, 2nd Edition

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Regular Expressions Cookbook, 2nd Edition by Steven Levithan Published by O'Reilly Media, Inc., 2012
  1. Cover
  2. Regular Expressions Cookbook
  3. Preface
  4. Caught in the Snarls of Different Versions
  5. Intended Audience
  6. Technology Covered
  7. Organization of This Book
  8. Conventions Used in This Book
  9. Using Code Examples
  10. Safari® Books Online
  11. How to Contact Us
  12. Acknowledgments
  13. 1. Introduction to Regular Expressions
  14. Regular Expressions Defined
  15. Search and Replace with Regular Expressions
  16. Tools for Working with Regular Expressions
  17. 2. Basic Regular Expression Skills
  18. 2.1. Match Literal Text
  19. 2.2. Match Nonprintable Characters
  20. 2.3. Match One of Many Characters
  21. 2.4. Match Any Character
  22. 2.5. Match Something at the Start and/or the End of a Line
  23. 2.6. Match Whole Words
  24. 2.7. Unicode Code Points, Categories, Blocks, and Scripts
  25. 2.8. Match One of Several Alternatives
  26. 2.9. Group and Capture Parts of the Match
  27. 2.10. Match Previously Matched Text Again
  28. 2.11. Capture and Name Parts of the Match
  29. 2.12. Repeat Part of the Regex a Certain Number of Times
  30. 2.13. Choose Minimal or Maximal Repetition
  31. 2.14. Eliminate Needless Backtracking
  32. 2.15. Prevent Runaway Repetition
  33. 2.16. Test for a Match Without Adding It to the Overall Match
  34. 2.17. Match One of Two Alternatives Based on a Condition
  35. 2.18. Add Comments to a Regular Expression
  36. 2.19. Insert Literal Text into the Replacement Text
  37. 2.20. Insert the Regex Match into the Replacement Text
  38. 2.21. Insert Part of the Regex Match into the Replacement Text
  39. 2.22. Insert Match Context into the Replacement Text
  40. 3. Programming with Regular Expressions
  41. Programming Languages and Regex Flavors
  42. 3.1. Literal Regular Expressions in Source Code
  43. 3.2. Import the Regular Expression Library
  44. 3.3. Create Regular Expression Objects
  45. 3.4. Set Regular Expression Options
  46. 3.5. Test If a Match Can Be Found Within a Subject String
  47. 3.6. Test Whether a Regex Matches the Subject String Entirely
  48. 3.7. Retrieve the Matched Text
  49. 3.8. Determine the Position and Length of the Match
  50. 3.9. Retrieve Part of the Matched Text
  51. 3.10. Retrieve a List of All Matches
  52. 3.11. Iterate over All Matches
  53. 3.12. Validate Matches in Procedural Code
  54. 3.13. Find a Match Within Another Match
  55. 3.14. Replace All Matches
  56. 3.15. Replace Matches Reusing Parts of the Match
  57. 3.16. Replace Matches with Replacements Generated in Code
  58. 3.17. Replace All Matches Within the Matches of Another Regex
  59. 3.18. Replace All Matches Between the Matches of Another Regex
  60. 3.19. Split a String
  61. 3.20. Split a String, Keeping the Regex Matches
  62. 3.21. Search Line by Line
  63. Construct a Parser
  64. 4. Validation and Formatting
  65. 4.1. Validate Email Addresses
  66. 4.2. Validate and Format North American Phone Numbers
  67. 4.3. Validate International Phone Numbers
  68. 4.4. Validate Traditional Date Formats
  69. 4.5. Validate Traditional Date Formats, Excluding Invalid Dates
  70. 4.6. Validate Traditional Time Formats
  71. 4.7. Validate ISO 8601 Dates and Times
  72. 4.8. Limit Input to Alphanumeric Characters
  73. 4.9. Limit the Length of Text
  74. 4.10. Limit the Number of Lines in Text
  75. 4.11. Validate Affirmative Responses
  76. 4.12. Validate Social Security Numbers
  77. 4.13. Validate ISBNs
  78. 4.14. Validate ZIP Codes
  79. 4.15. Validate Canadian Postal Codes
  80. 4.16. Validate U.K. Postcodes
  81. 4.17. Find Addresses with Post Office Boxes
  82. 4.18. Reformat Names From “FirstName LastName” to “LastName, FirstName”
  83. 4.19. Validate Password Complexity
  84. 4.20. Validate Credit Card Numbers
  85. 4.21. European VAT Numbers
  86. 5. Words, Lines, and Special Characters
  87. 5.1. Find a Specific Word
  88. 5.2. Find Any of Multiple Words
  89. 5.3. Find Similar Words
  90. 5.4. Find All Except a Specific Word
  91. 5.5. Find Any Word Not Followed by a Specific Word
  92. 5.6. Find Any Word Not Preceded by a Specific Word
  93. 5.7. Find Words Near Each Other
  94. 5.8. Find Repeated Words
  95. 5.9. Remove Duplicate Lines
  96. 5.10. Match Complete Lines That Contain a Word
  97. 5.11. Match Complete Lines That Do Not Contain a Word
  98. 5.12. Trim Leading and Trailing Whitespace
  99. 5.13. Replace Repeated Whitespace with a Single Space
  100. 5.14. Escape Regular Expression Metacharacters
  101. 6. Numbers
  102. 6.1. Integer Numbers
  103. 6.2. Hexadecimal Numbers
  104. 6.3. Binary Numbers
  105. 6.4. Octal Numbers
  106. 6.5. Decimal Numbers
  107. 6.6. Strip Leading Zeros
  108. 6.7. Numbers Within a Certain Range
  109. 6.8. Hexadecimal Numbers Within a Certain Range
  110. 6.9. Integer Numbers with Separators
  111. 6.10. Floating-Point Numbers
  112. 6.11. Numbers with Thousand Separators
  113. 6.12. Add Thousand Separators to Numbers
  114. 6.13. Roman Numerals
  115. 7. Source Code and Log Files
  116. Keywords
  117. Identifiers
  118. Numeric Constants
  119. Operators
  120. Single-Line Comments
  121. Multiline Comments
  122. All Comments
  123. Strings
  124. Strings with Escapes
  125. Regex Literals
  126. Here Documents
  127. Common Log Format
  128. Combined Log Format
  129. Broken Links Reported in Web Logs
  130. 8. URLs, Paths, and Internet Addresses
  131. 8.1. Validating URLs
  132. 8.2. Finding URLs Within Full Text
  133. 8.3. Finding Quoted URLs in Full Text
  134. 8.4. Finding URLs with Parentheses in Full Text
  135. 8.5. Turn URLs into Links
  136. 8.6. Validating URNs
  137. 8.7. Validating Generic URLs
  138. 8.8. Extracting the Scheme from a URL
  139. 8.9. Extracting the User from a URL
  140. 8.10. Extracting the Host from a URL
  141. 8.11. Extracting the Port from a URL
  142. 8.12. Extracting the Path from a URL
  143. 8.13. Extracting the Query from a URL
  144. 8.14. Extracting the Fragment from a URL
  145. 8.15. Validating Domain Names
  146. 8.16. Matching IPv4 Addresses
  147. 8.17. Matching IPv6 Addresses
  148. 8.18. Validate Windows Paths
  149. 8.19. Split Windows Paths into Their Parts
  150. 8.20. Extract the Drive Letter from a Windows Path
  151. 8.21. Extract the Server and Share from a UNC Path
  152. 8.22. Extract the Folder from a Windows Path
  153. 8.23. Extract the Filename from a Windows Path
  154. 8.24. Extract the File Extension from a Windows Path
  155. 8.25. Strip Invalid Characters from Filenames
  156. 9. Markup and Data Formats
  157. Processing Markup and Data Formats with Regular Expressions
  158. 9.1. Find XML-Style Tags
  159. 9.2. Replace Tags with
  160. 9.3. Remove All XML-Style Tags Except and
  161. 9.4. Match XML Names
  162. 9.5. Convert Plain Text to HTML by Adding

    and
    Tags

  163. 9.6. Decode XML Entities
  164. 9.7. Find a Specific Attribute in XML-Style Tags
  165. 9.8. Add a cellspacing Attribute to Tags That Do Not Already Include It
  166. 9.9. Remove XML-Style Comments
  167. 9.10. Find Words Within XML-Style Comments
  168. 9.11. Change the Delimiter Used in CSV Files
  169. 9.12. Extract CSV Fields from a Specific Column
  170. 9.13. Match INI Section Headers
  171. 9.14. Match INI Section Blocks
  172. 9.15. Match INI Name-Value Pairs
  173. Index
  174. Index
  175. Index
  176. Index
  177. Index
  178. Index
  179. Index
  180. Index
  181. Index
  182. Index
  183. Index
  184. Index
  185. Index
  186. Index
  187. Index
  188. Index
  189. Index
  190. Index
  191. Index
  192. Index
  193. Index
  194. Index
  195. Index
  196. Index
  197. Index
  198. Index
  199. About the Authors
  200. Colophon
  201. Copyright
  202. 4.4. Validate Traditional Date Formats

    Problem

    You want to validate dates in the traditional formats mm/dd/yy, mm/dd/yyyy, dd/mm/yy, and dd/mm/yyyy. You want to use a simple regex that simply checks whether the input looks like a date, without trying to weed out things such as February 31st.

    Solution

    Solution 1: Match any of these date formats, allowing leading zeros to be omitted:

    ^[0-3]?[0-9]/[0-3]?[0-9]/(?:[0-9]{2})?[0-9]{2}$
    Regex options: None
    Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

    Solution 2: Match any of these date formats, requiring leading zeros:

    ^[0-3][0-9]/[0-3][0-9]/(?:[0-9][0-9])?[0-9][0-9]$
    Regex options: None
    Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

    Solution 3: Match m/d/yy and mm/dd/yyyy, allowing any combination of one or two digits for the day and month, and two or four digits for the year:

    ^(1[0-2]|0?[1-9])/(3[01]|[12][0-9]|0?[1-9])/(?:[0-9]{2})?[0-9]{2}$
    Regex options: None
    Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

    Solution 4: Match mm/dd/yyyy, requiring leading zeros:

    ^(1[0-2]|0[1-9])/(3[01]|[12][0-9]|0[1-9])/[0-9]{4}$
    Regex options: None
    Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

    Solution 5: Match d/m/yy and dd/mm/yyyy, allowing any combination of one or two digits for the day and month, and two or four digits for the year:

    ^(3[01]|[12][0-9]|0?[1-9])/(1[0-2]|0?[1-9])/(?:[0-9]{2})?[0-9]{2}$
    Regex options: None
    Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

    Solution 6: Match dd/mm/yyyy, requiring leading zeros:

    ^(3[01]|[12][0-9]|0[1-9])/(1[0-2]|0[1-9])/[0-9]{4}$
    Regex options: None
    Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

    Solution 7: Match any of these date formats with greater accuracy, allowing leading zeros to be omitted:

    ^(?:(1[0-2]|0?[1-9])/(3[01]|[12][0-9]|0?[1-9])|↵
    (3[01]|[12][0-9]|0?[1-9])/(1[0-2]|0?[1-9]))/(?:[0-9]{2})?[0-9]{2}$
    Regex options: None
    Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

    We can use the free-spacing option to make this regular expression easier to read:

    ^(?:
      # m/d or mm/dd
      (1[0-2]|0?[1-9])/(3[01]|[12][0-9]|0?[1-9])
    |
      # d/m or dd/mm
      (3[01]|[12][0-9]|0?[1-9])/(1[0-2]|0?[1-9])
    )
    # /yy or /yyyy
    /(?:[0-9]{2})?[0-9]{2}$
    Regex options: Free-spacing
    Regex flavors: .NET, Java, XRegExp, PCRE, Perl, Python, Ruby

    Solution 8: Match any of these date formats with greater accuracy, requiring leading zeros:

    ^(?:(1[0-2]|0[1-9])/(3[01]|[12][0-9]|0[1-9])|↵
    (3[01]|[12][0-9]|0[1-9])/(1[0-2]|0[1-9]))/[0-9]{4}$
    Regex options: None
    Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

    The same solution using the free-spacing option to make it easier to read:

    ^(?:
      # mm/dd
      (1[0-2]|0[1-9])/(3[01]|[12][0-9]|0[1-9])
    |
      # dd/mm
      (3[01]|[12][0-9]|0[1-9])/(1[0-2]|0[1-9])
    )
    # /yyyy
    /[0-9]{4}$
    Regex options: Free-spacing
    Regex flavors: .NET, Java, XRegExp, PCRE, Perl, Python, Ruby

Discussion

You might think that something as conceptually trivial as a date should be an easy job for a regular expression. But it isn’t, for two reasons. Because dates are such an everyday thing, humans are very sloppy with them. 4/1 may be April Fools’ Day to you. To somebody else, it may be the first working day of the year, if New Year’s Day is on a Friday.

The other issue is that regular expressions don’t deal directly with numbers. You can’t tell a regular expression to “match a number between 1 and 31”, for instance. Regular expressions work character by character. We use 3[01]|[12][0-9]|0?[1-9] to match 3 followed by 0 or 1, or to match 1 or 2 followed by any digit, or to match an optional 0 followed by 1 to 9. In character classes, we can use ranges for single digits, such as [1-9]. That’s because the characters for the digits 0 through 9 occupy consecutive positions in the ASCII and Unicode character tables. See Chapter 6 for more details on matching all kinds of numbers with regular expressions.

Because of this, you have to choose how simple or how accurate you want your regular expression to be. If you already know your subject text doesn’t contain any invalid dates, you could use a trivial regex such as \d{2}/\d{2}/\d{4}. The fact that this matches things like 99/99/9999 is irrelevant if those don’t occur in the subject text.

The first two solutions for this recipe are quick and simple, too, and they also match invalid dates, such as 0/0/00 and 31/31/2008. They only use literal characters for the date delimiters, character classes (see Recipe 2.3) for the digits, and the question mark (see Recipe 2.12) to make certain digits optional. (?:[0-9]{2})?[0-9]{2} allows the year to consist of two or four digits. [0-9]{2} matches exactly two digits. (?:[0-9]{2})? matches zero or two digits. The noncapturing group (see Recipe 2.9) is required, because the question mark needs to apply to the character class and the quantifier {2} combined. [0-9]{2}? matches exactly two digits, just like [0-9]{2}. Without the group, the question mark makes the quantifier lazy, which has no effect because {2} cannot repeat more than two times or fewer than two times.

Solutions 3 through 6 restrict the month to numbers between 1 and 12, and the day to numbers between 1 and 31. We use alternation (see Recipe 2.8) inside a group to match various pairs of digits to form a range of two-digit numbers. We use capturing groups here because you’ll probably want to capture the day and month numbers anyway.

The final two solutions are a little more complex, so we’re presenting these in both condensed and free-spacing form. The only difference between the two forms is readability. JavaScript does not support free-spacing. The final two solutions allow all of the date formats, just like the first two examples. The difference is that the last two use an extra level of alternation to restrict the dates to 12/31 and 31/12, disallowing invalid months, such as 31/31.

Variations

If you want to search for dates in larger bodies of text instead of checking whether the input as a whole is a date, you cannot use the anchors ^ and $. Merely removing the anchors from the regular expression is not the right solution. That would allow any of these regexes to match 12/12/2001 within 9912/12/200199, for example. Instead of anchoring the regex match to the start and end of the subject, you have to specify that the date cannot be part of longer sequences of digits.

This is easily done with a pair of word boundaries. In regular expressions, digits are treated as characters that can be part of words. Replace both ^ and $ with \b. As an example:

\b(1[0-2]|0[1-9])/(3[01]|[12][0-9]|0[1-9])/[0-9]{4}\b
Regex options: None
Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

See Also

This chapter has several other recipes for matching dates and times. Recipe 4.5 shows how to validate traditional date formats more accurately. Recipe 4.6 shows how to validate traditional time formats. Recipe 4.7 shows how to validate date and time formats according to the ISO 8601 standard.

Recipe 6.7 explains how you can create a regular expression to match a number in a given range of numbers.

Techniques used in the regular expressions in this recipe are discussed in Chapter 2. Recipe 2.3 explains character classes. Recipe 2.5 explains anchors. Recipe 2.8 explains alternation. Recipe 2.9 explains grouping. Recipe 2.12 explains repetition.