On Mar 8, 4:20 pm, [EMAIL PROTECTED] 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.month_name) )
dayName = oneOf( list(calendar.day_name) )
date = dayName("dayOfWeek") + monthName("month") + integer("day") + \
"," + integer("year")
DATE = Word("=").suppress() + "Date:" + date("date") +
Word("=").suppress()
NAMEDATA = Combine("name" + integer)("name") + ':' + integer("value")
for match in (IMPORTANT_TEXT | DATE | NAMEDATA).searchString(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
--
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