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Top Forums Shell Programming and Scripting extract blocks of text from a file Post 302315088 by ghostdog74 on Monday 11th of May 2009 12:44:56 PM
Old 05-11-2009
another way, if your file is not too big, is to get everything into memory, then do a split on dashes+newline. after splitting, array will contain all the data the need. iterate the array to get the filenames, and write to output file accordingly.
Code:
import re
pat=re.compile("--*\n",re.M|re.DOTALL) #going to split the whole file by dash followed by \n
data=open("file").read()
data=pat.split(data)
data=[i.strip() for i in data if i != "" ] #remove extraneous data like blanks , newlines
for items in data:
    try:
        index_of_slash = items.index("/") #get the position where "/" is
    except:
        pass
    else:
        filename = items[:index_of_slash] #construct filename
        open(filename.replace(" ","."),"w").write(items)

output:
Code:
# ls -1 3D*
3D.Survey.AUGER_123DI
3D.Survey.MARS_B
3D.Survey.MBST_BASIN
3D.Survey.m93up5_ip
3D.Survey.mars_b_ip

# more 3D.Survey.AUGER_123DI
3D Survey AUGER_123DI/szwauger (storage szwauger)
Seismic files referenced in Oracle not present on disk
This is an ERROR. Files listed below will not open in SeisWorks:

szwauger/S_AUGER_123DI_30601.3dh
szwauger/S_AUGER_123DI_30701.3dh
szwauger/S_AUGER_123DI_30801.3dh
szwauger/S_AUGER_123DI_30901.3dh
szwauger/S_AUGER_123DI_31001.3dh
szwauger/S_AUGER_123DI_31101.3dh
szwauger/S_AUGER_123DI_31201.3dh
szwauger/S_AUGER_123DI_31301.3dh
szwauger/S_AUGER_123DI_31401.3dh
szwauger/S_AUGER_123DI_31501.3dh
szwauger/S_AUGER_123DI_31601.3dh

with the shell, you can use awk to get the same results....(incomplete code)
Code:
awk 'BEGIN{
 RS="---*\n\n"
 FS="/"
}{
 filename=$1
 if(filename !=""){
    print $0 >filename
 } 
}' file


Last edited by ghostdog74; 05-11-2009 at 01:50 PM..
 

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LLSEARCH(1)						      General Commands Manual						       LLSEARCH(1)

NAME
llsearch - Search a GNIS file for place names within a given block of latitude/longitude SYNOPSIS
llsearch [-L] | [latitude_low longitude_low latitude_high longitude_high] DESCRIPTION
The U.S. Geological Survey supports sites on the Internet with Geographic Names Information System (GNIS) files. These files contain lists of place names, complete with their latitude/longitude and other information. There are separate files for each of the U.S. states, and each file contains many, many, many place names. If you want to use this data with drawmap, it is useful to reduce the data to only the items that you need. Llsearch lets you filter a GNIS file and winnow out only those place names that fall within the latitude/longitude boundaries that you specify. (You may want to specify boundaries that are a tiny bit larger than what you are interested in, so that numerical quantization doesn't eliminate locales that fall exactly on your boundaries.) Latitudes and longitudes are positive for north latitude and east longitude, and negative for south latitude and west longitude. Llsearch expects you to enter them in decimal degrees. (The latitudes and longitudes in the GNIS file are in degrees-minutes-seconds format, fol- lowed by 'N', 'S', 'E', or 'W'. However, there are two available file formats, and one of the formats also contains the latitudes/longi- tudes in decimal degrees.) Typical usage is as follows: gunzip -c california.gz | llsearch 33 -118 34 -117 > gnis_santa_ana_west If you enter the "-L" option, the program will print some license information and exit. Once you have reduced the data to some subset of interest, you can search for particular items via the grep or perl commands, or other search commands, or you can simply edit the results with your favorite text editor. Search commands are useful in reducing the sheer vol- ume of data to a more manageable size (by extracting, say, all mountain summits or all streams), but you will probably ultimately end up looking through the remaining data manually. The individual records contain codes, such as "ppl" for populated places, and "summit" for mountain tops, that can help you pick and choose. There is considerable redundancy in place names, and human intelligence is useful in sorting things out. While I was writing drawmap and llsearch, I frequently gazed out my office window, where I could spot at least two, and possibly three Baldy Mountains. There are also quite a few Beaver Creeks, Bear Canyons, Saddle Buttes, and Springfields out there. By taking a close look at the information associated with each place name, you can find the particular locations that interest you. SEE ALSO
drawmap(1) Jul 24, 2001 LLSEARCH(1)
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