Parse specific text in email body to CSV file

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  • dpw.asdf@gmail.com

    Parse specific text in email body to CSV file

    I have been searching all over for a solution to this. I am new to
    Python, so I'm a little lost. Any pointers would be a great help. I
    have a couple hundred emails that contain data I would like to
    incorporate into a database or CSV file. I want to search the email
    for specific text.

    The emails basically look like this:



    random text _important text:_15648 random text random text random text
    random text
    random text random text random text _important text:_15493 random text
    random text
    random text random text _important text:_11674 random text random text
    random text
    =============== Date: Wednesday March 5, 2008=========== =====
    name1: 15 name5: 14

    name2: 18 name6: 105

    name3: 64 name7: 2

    name4: 24 name8: 13



    I want information like "name1: 15" to be placed into the CSV with the
    name "name1" and the value "15". The same goes for the date and
    "_important text:_15493".

    I would like to use this CSV or database to plot a graph with the
    data.

    Thanks!
  • Paul McGuire

    #2
    Re: Parse specific text in email body to CSV file

    On Mar 8, 4:20 pm, dpw.a...@gmail. com wrote:
    I have been searching all over for a solution to this. I am new to
    Python, so I'm a little lost. Any pointers would be a great help. I
    have a couple hundred emails that contain data I would like to
    incorporate into a database or CSV file. I want to search the email
    for specific text.
    >
    The emails basically look like this:
    >
    random text _important text:_15648 random text random text random text
    random text
    random text random text random text _important text:_15493 random text
    random text
    random text random text _important text:_11674 random text random text
    random text
    =============== Date: Wednesday March 5, 2008=========== =====
    name1: 15                name5: 14
    >
    name2: 18                name6: 105
    >
    name3: 64                name7: 2
    >
    name4: 24                name8: 13
    >
    I want information like "name1: 15" to be placed into the CSV with the
    name "name1" and the value "15". The same goes for the date and
    "_important text:_15493".
    >
    I would like to use this CSV or database to plot a graph with the
    data.
    >
    Thanks!
    This kind of work can be done using pyparsing. Here is a starting
    point for you:

    from pyparsing import Word, oneOf, nums, Combine
    import calendar

    text = """
    random text _important text:_15648 random text random text random
    text
    random text
    random text random text random text _important text:_15493 random
    text
    random text
    random text random text _important text:_11674 random text random
    text
    random text
    =============== Date: Wednesday March 5, 2008=========== =====
    name1: 15 name5: 14

    name2: 18 name6: 105

    name3: 64 name7: 2

    name4: 24 name8: 13
    """

    integer = Word(nums)

    IMPORTANT_TEXT = "_important text:_" + integer("value" )
    monthName = oneOf( list(calendar.m onth_name) )
    dayName = oneOf( list(calendar.d ay_name) )
    date = dayName("dayOfW eek") + monthName("mont h") + integer("day") + \
    "," + integer("year")
    DATE = Word("=").suppr ess() + "Date:" + date("date") +
    Word("=").suppr ess()
    NAMEDATA = Combine("name" + integer)("name" ) + ':' + integer("value" )

    for match in (IMPORTANT_TEXT | DATE | NAMEDATA).searc hString(text):
    print match.dump()

    Prints:

    ['_important text:_', '15648']
    - value: 15648
    ['_important text:_', '15493']
    - value: 15493
    ['_important text:_', '11674']
    - value: 11674
    ['Date:', 'Wednesday', 'March', '5', ',', '2008']
    - date: ['Wednesday', 'March', '5', ',', '2008']
    - day: 5
    - dayOfWeek: Wednesday
    - month: March
    - year: 2008
    - day: 5
    - dayOfWeek: Wednesday
    - month: March
    - year: 2008
    ['name1', ':', '15']
    - name: name1
    - value: 15
    ['name5', ':', '14']
    - name: name5
    - value: 14
    ['name2', ':', '18']
    - name: name2
    - value: 18
    ['name6', ':', '105']
    - name: name6
    - value: 105
    ['name3', ':', '64']
    - name: name3
    - value: 64
    ['name7', ':', '2']
    - name: name7
    - value: 2
    ['name4', ':', '24']
    - name: name4
    - value: 24
    ['name8', ':', '13']
    - name: name8
    - value: 13

    Find out more about pyparsing at http://pyparsing.wikispaces.com.

    -- Paul

    Comment

    • Miki

      #3
      Re: Parse specific text in email body to CSV file

      Hello,
      >
      I have been searching all over for a solution to this. I am new to
      Python, so I'm a little lost. Any pointers would be a great help. I
      have a couple hundred emails that contain data I would like to
      incorporate into a database or CSV file. I want to search the email
      for specific text.
      >
      The emails basically look like this:
      >
      random text _important text:_15648 random text random text random text
      random text
      random text random text random text _important text:_15493 random text
      random text
      random text random text _important text:_11674 random text random text
      random text
      =============== Date: Wednesday March 5, 2008=========== =====
      name1: 15                name5: 14
      >
      name2: 18                name6: 105
      >
      name3: 64                name7: 2
      >
      name4: 24                name8: 13
      >
      I want information like "name1: 15" to be placed into the CSV with the
      name "name1" and the value "15". The same goes for the date and
      "_important text:_15493".
      >
      I would like to use this CSV or database to plot a graph with the
      data.
      import re

      for match in re.finditer("_([\w ]+):_(\d+)", text):
      print match.groups()[0], match.groups()[1]

      for match in re.finditer("Da te: ([^=]+)=", text):
      print match.groups()[0]

      for match in re.finditer("(\ w+): (\d+)", text):
      print match.groups()[0], match.groups()[1]


      Now you have two problems :)

      HTH,
      --
      Miki <miki.tebeka@gm ail.com>
      If it won't be simple, it simply won't be. [Hire me, source code]


      Comment

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