#!/bin/bash #=============================================================================== # # FILE: xlsx2csv.sh # # USAGE: ./xlsx2csv.sh [-c|--copyleft] [-d|--debug] [-v|--version] -x[|--xlsx] filename # # DESCRIPTION: Read an MS excel SpreadsheetML document # extract the data to csv # # REQUIREMENTS: unzip | xsltproc | libxml | sqlite3 | gnu sed # BUGS: doesn't read formatting, macros # NOTES: does translate dates correctly! also handles null data # quotes and commas delimited, embedded quotes are doubled # AUTHOR: Kirk Roybal (DBA) # http://kirk.webfinish.com # CREATED: 12/02/2009 10:06:45 CST # REVISION: --- # CREDITS: # openxmldeveloper.org for describing the format of excel date serial # http://openxmldeveloper.org/articles/using_Spreadsheet_ML_document__as_datasource_for_heterogenous_applicationss.aspx # http://www.ccechile.org/eventos/2007/docs/document/Response-various_Dates.pdf # http://www.codeproject.com/KB/XML/ooxml_is_defective.aspx # http://openxmldeveloper.org/forums/thread/597.aspx # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see . # # Release notes: # 1.0 (2009/12/18) -- First release available to the public # 1.1 (2010/01/12) -- Improved date handling routine to look for all common date formats in Excel. #=============================================================================== version="1.1" function usage () { cat </dev/null do case $option in c) tail -n 650 "$0" | head -n 621 | sed 's/^# //' #copyleft exit ;; d) set -x #debug debug=true;; v) echo $(basename "$0") $version; exit;; #version x) filename=${OPTARG};; #xlsx *) echo $OPTARG is an unrecognized option;; esac done [[ -z "$filename" ]] && { usage cat < /dev/null workfilename="$(basename "$filename")" # Unpack the xlsx file unzip -q "$workfilename" #Did we get the expected structure? [[ ! -d "xl" ]] && { echo $filename is not an xlsx format file popd rm -rf "$dirname" exit 1 } #Make a sqlite3 database to do some relational work sdbname="$(pwd)/${dirname}.sdb" [[ $(hostname) == "wsmkroybal.javelin.pvt" ]] && { sdbname="/Users/kroybal/sdb/${dirname}.sdb" [[ -f "$sdbname" ]] && rm "$sdbname" } #Create an SQL based string table sql="CREATE TABLE shared_strings ( id INTEGER PRIMARY KEY AUTOINCREMENT, value string);" sqlite3 "$sdbname" "$sql" #The first access of the db will create the file #turn the starting tags directly into newline newline=$(echo -e '\n\r') #turn the xml for shared strings into sqlite sql cat "xl/sharedStrings.xml" | sed -e "s/.*<\/rPr>//g" > "xl/sharedStrings.sed" #blow away embedded garbage $gnused -i -e "s/.<\/t><\/r>//g" -e "s//\\$newline/g" "xl/sharedStrings.sed" $gnused -i -e "s/<\/t>.$//g" -e "s///g" -e "/^[:space:]]*$/d" "xl/sharedStrings.sed" $gnused -i -e "s///g" -e 's///g' "xl/sharedStrings.sed" #remove any non-printable characters, the xml tag line, and the DTD $gnused -i -e "s/[^[:graph:] ]*//g" -e "1,2d" -e "s/'/''/g" -e 's/amp;//g' "xl/sharedStrings.sed" #blow off any formatting junk after the closing tag $gnused -i -e "s/<\/t>.*$//" -e "/^$/d" "xl/sharedStrings.sed" #trim the result #sed -i '' -e 's/^[[:space:]]*//g' -e 's/[[:space:]]*$//g' "xl/sharedStrings.sed" #make a sql statement out of the result $gnused -i -e "s/^/INSERT INTO shared_strings (value) VALUES ('/" -e "s/$/');/" "xl/sharedStrings.sed" #load the stringtable sqlite3 "$sdbname" < "xl/sharedStrings.sed" sql="CREATE INDEX idx_ss ON shared_strings(id,value);" sqlite3 "$sdbname" "$sql" sql="CREATE TABLE sheets ( id INTEGER PRIMARY KEY, name varchar(200), ordinal integer, rid integer);" sqlite3 "$sdbname" "$sql" #make an xslt file to import the sheet names xsl=" INSERT INTO sheets(name,ordinal,rid) VALUES ('',,); " echo -e "$xsl" > "xl/sheets.xsl" #make a simpler xml file to parse cat "xl/workbook.xml" | sed -e 's/.*.*/<\/sheets>/' -e 's/"rId/"/g' > "xl/sheets.xml" #import the sheet names xsltproc "xl/sheets.xsl" "xl/sheets.xml" | sqlite3 "$sdbname" #import the format styles sql="CREATE TABLE fmt_data ( id INTEGER PRIMARY KEY, numfmtid integer, formatcode varchar(200));" sqlite3 "$sdbname" "$sql" #import the format data fmtxsl=" INSERT INTO fmt_data(numfmtid,formatcode) VALUES ('',''); " #create an xsl stylesheet for formats echo -e "$fmtxsl" > 'xl/fmt.xsl' #simplify the input file cat "xl/styles.xml" | sed -e 's/^.*.*/<\/numFmts>/' > "xl/fmts.xml" #import the formats xsltproc "xl/fmt.xsl" "xl/fmts.xml" | sqlite3 "$sdbname" #associate the formats to cells sql="CREATE TABLE fmt2cell_data ( id INTEGER PRIMARY KEY, numfmtid integer);" sqlite3 "$sdbname" "$sql" #now import the format 2 field mapping table fmtxsl=" INSERT INTO fmt2cell_data(numfmtid) VALUES (''); " #create an xsl stylesheet for formats echo -e "$fmtxsl" > 'xl/fmt2cell.xsl' #simplify the input file cat "xl/styles.xml" | sed -e 's/^.*.*/<\/cellXfs>/' > "xl/fmt2cell.xml" #import the mapping xsltproc "xl/fmt2cell.xsl" "xl/fmt2cell.xml" | sqlite3 "$sdbname" #delete the formats that obviously have nothing to do with dates. sql="DELETE FROM fmt2cell_data WHERE numfmtid=0;" sqlite3 "$sdbname" "$sql" #create a table of known date formats sql="CREATE TABLE date_formats ( id INTEGER PRIMARY KEY, format varchar(500));" sqlite3 "$sdbname" "$sql" #Insert all the date formats we know about insert="INSERT INTO \"date_formats\" (format) VALUES" sql=" $insert ('[\$-F800]dddd\,\ mmmm\ dd\,\ yyyy'); $insert ('m/d;@'); $insert ('mmm\ d'); $insert ('m/d/yy;@'); $insert ('mm/dd/yy;@'); $insert ('m/d/yyyy;@'); $insert ('m/d/yy\ h:mm;@'); $insert ('[\$-409]mmmmm;@'); $insert ('[\$-409]d\-mmm;@'); $insert ('[\$-409]mmm\-yy;@'); $insert ('[\$-409]mmmm\-yy;@'); $insert ('[\$-409]mmmmm\-yy;@'); $insert ('[\$-409]d\-mmm\-yy;@'); $insert ('[\$-409]d\-mmm\-yyyy;@'); $insert ('[\$-409]mmmm\ d\,\ yyyy;@'); $insert ('[\$-409]m/d/yy\ h:mm\ AM/PM;@'); --$insert ('_(* #,##0_);_(* \(#,##0\);_(* \"-\"_);_(@_)'); --$insert ('_(* #,##0_);_(* \(#,##0\);_(* \"-\"??_);_(@_)'); --$insert ('_(* #,##0.0_);_(* \(#,##0.0\);_(* \"-\"?_);_(@_)'); --$insert ('_(* #,##0.0_);_(* \(#,##0.0\);_(* \"-\"??_);_(@_)'); --$insert ('_(* #,##0.00_);_(* \(#,##0.00\);_(* \"-\"??_);_(@_)'); --$insert ('_(* #,##0.0000_);_(* \(#,##0.0000\);_(* \"-\"??_);_(@_)'); --$insert ('_(\"$\"* #,##0.00_);_(\"$\"* \(#,##0.00\);_(\"$\"* \"-\"??_);_(@_)'); --$insert ('_(\"$\"* #,##0.000_);_(\"$\"* \(#,##0.000\);_(\"$\"* \"-\"??_);_(@_)'); " sqlite3 "$sdbname" "$sql" #see if anything matches the dates we know about sql="UPDATE fmt_data SET formatcode = 'date' where formatcode IN (SELECT format FROM date_formats);" sqlite3 "$sdbname" "$sql" #propagate the formats from the fmt_data table # to the fmt2cell_data table sql="REPLACE INTO fmt2cell_data (id,numfmtid) select fc.id, fd.formatcode FROM fmt2cell_data fc INNER JOIN fmt_data fd ON fc.numfmtid = fd.numfmtid WHERE fd.formatcode='date';" sqlite3 "$sdbname" "$sql" sql="CREATE TABLE cell_data ( id INTEGER PRIMARY KEY AUTOINCREMENT, sheet varchar(255), cell varchar(200), style integer, type varchar(3), value varchar(200), row integer, col varchar(20) );" # Leftovers from date calculation improvements # a integer, # b integer, # c integer, # d integer, # e integer, # f integer, # g integer, # y integer, # m integer, # day integer sqlite3 "$sdbname" "$sql" #extract the data for each sheet to sqlite cd xl/worksheets/ #xsltproc requires the style sheet as a file tail -n 27 "$appdir/$appname" > data.xsl for file in *.xml do #Remove the formatting we can't read anyway to make the xslt parser simpler. # remove any trailing lines after the sheetData cat "$file" | sed -e 's/.*.*/<\/sheetData>/' -e '3,$d' > "${file}.data" #translate the data into sqlite INSERT statements # 3 copies of sed streaming are an intentional speed enhancement. xsltproc data.xsl "${file}.data" | sed -e "s/'/''/g" -e "s/|/'/g" | sed -e 's/&/&/g' | sed -e "/'');[[:space:]]*$/d" | sqlite3 "$sdbname" # > "${file}.sql" # < "${file}.sql" #Add the sheet name to the data we just imported bname=$(basename "$file" .xml | sed -e "s/'//g" -e 's/[[:alpha:]]*//g') sql="UPDATE cell_data SET sheet=(SELECT name FROM sheets WHERE rid = ${bname}) WHERE sheet is null;" sqlite3 "$sdbname" "$sql" done #remove any blank cells sql="DELETE FROM cell_data WHERE value = '';" sqlite3 "$sdbname" "$sql" #index the type column sql="CREATE INDEX idx_cd ON cell_data(type);" sqlite3 "$sdbname" "$sql" #shared string table is zero based in file, 1 based in sdb sql="UPDATE cell_data SET value=value+1 WHERE type='s';" sqlite3 "$sdbname" "$sql" #update the cells with the string data sql="REPLACE INTO cell_data(id,value,sheet,cell,style,type,row,col) SELECT cd.id, ss.value, cd.sheet, cd.cell, 'str', '', cd.row, cd.col FROM shared_strings ss INNER JOIN cell_data cd ON ss.id = cd.value WHERE cd.type = 's';" sqlite3 "$sdbname" "$sql" #basic data formats with id<=40 that are dates. # these are not supplied in the xlsx file sql="UPDATE fmt2cell_data SET numfmtid = 'date' WHERE numfmtid IN (14,16);" sqlite3 "$sdbname" "$sql" #Other subformats that are also dates. sql="REPLACE INTO cell_data (id,value,sheet,cell,style,type,row,col) SELECT cd.id, cd.value,cd.sheet,cd.cell,'2','d',cd.row,cd.col FROM cell_data cd INNER JOIN fmt2cell_data fc ON cd.style+1=fc.id WHERE fc.numfmtid = 'date' and cd.style <> '2' AND cd.type='' AND cd.value<>'';"; sqlite3 "$sdbname" "$sql" #Fix the Y1900 leap year bug sql="UPDATE cell_data SET value='1900-02-29 00:00:00',style='s' WHERE value=60 AND style='2';" sqlite3 "$sdbname" "$sql" #Other dates less than 60 are off by 1 sql="UPDATE cell_data SET value=value+1 WHERE value < 60 AND style='2';" sqlite3 "$sdbname" "$sql" #convert the Julian serial to date # add days to convert to unix epoch # convert epoch to ISO date as text # end up with YYYY-MM-DD #Much easier and more reliable sql="UPDATE cell_data SET value=datetime(value+2415017.5) WHERE style='2' and value <> '';" sqlite3 "$sdbname" "$sql" [[ -z "A" ]] && { #old school date calculation # this code is a non-buggy implementation of the # buggy code found at # http://www.codeproject.com/KB/datetime/exceldmy.aspx?print=true # The basic idea here is to convert the date to a unix epoch # add some days to make sure that 1970-01-01 < date < 2038-01-01 # because MS date functions only work properly within that range # then re-implement MS date math logic to find the date # then subtract the bias in years from the date. # We don't do things like that in Linux land. sql="UPDATE cell_data SET a=value+68569+2415019 WHERE style='2';" sqlite3 "$sdbname" "$sql" sql="UPDATE cell_data SET b=cast((4*a)/146097.0 as integer) WHERE style='2';" sqlite3 "$sdbname" "$sql" sql="UPDATE cell_data SET c=a-((146097*b+3)/4) WHERE style='2';" sqlite3 "$sdbname" "$sql" sql="UPDATE cell_data SET d=cast((4000*(c+1))/1461001.0 as integer) WHERE style='2';" sqlite3 "$sdbname" "$sql" sql="UPDATE cell_data SET e=(c-cast(1461.0*d/4 as integer)+31 WHERE style='2';" sqlite3 "$sdbname" "$sql" sql="UPDATE cell_data SET f=cast((80*e)/2447 as integer) WHERE style='2';" sqlite3 "$sdbname" "$sql" sql="UPDATE cell_data SET g=cast(f/11 as integer) WHERE style='2';" sqlite3 "$sdbname" "$sql" sql="UPDATE cell_data SET day=e-cast((2447.0*f)/80 as integer) WHERE style='2';" sqlite3 "$sdbname" "$sql" sql="UPDATE cell_data SET m=cast(f+2.0-(12.0*g) as integer) WHERE style='2';" sqlite3 "$sdbname" "$sql" sql="UPDATE cell_data SET y=100*(b-49)+d+g WHERE style='2';" sqlite3 "$sdbname" "$sql" #Finally! We have a date! sql="UPDATE cell_data SET value=y || '-' || m || '-' || day, style='' WHERE style='2';" sqlite3 "$sdbname" "$sql" } #don't show nulls as '-' (dash) sql="UPDATE cell_data SET value='', style='' WHERE style='3';" sqlite3 "$sdbname" "$sql" #get the row numbers as integers #Get the column indices as letters [A-ZZ] sql="UPDATE cell_data SET row=CAST(trim(cell,'ABCDEFGHIJKLMNOPQRSTUVWXYZ') as int), col=trim(cell,'0123456789');" sqlite3 "$sdbname" "$sql" #blow away CRLF in the values sql="UPDATE cell_data SET value=replace(value,x'0d','');" sql="$sql UPDATE cell_data SET value=replace(value,x'0a','');" sqlite3 "$sdbname" "$sql" #set up column list from A-ZZ collated in spreadsheet order sql="CREATE TABLE columns ( id integer primary key, title varchar(3));" sqlite3 "$sdbname" "$sql" #create A-Z for ((i=65;i<=90;i++)) do #convert ascii value to char char=$(printf "\\$(printf "%03o" $i)") #insert into db sql="INSERT INTO columns (title) VALUES ('$char');" sqlite3 "$sdbname" "$sql" done # Create AA-ZZ for ((i=1;i<=26;i++)) do sql="INSERT INTO columns (title) SELECT (SELECT title FROM columns WHERE id=$i) || title FROM columns where id <= 26;" sqlite3 "$sdbname" "$sql" done #index the sheet name sql="CREATE INDEX idx_cd_sheet ON cell_data(sheet);" sqlite3 "$sdbname" "$sql" # and the sheet with col sql="CREATE INDEX idx_cd_sheet_col ON cell_data(sheet,col);" sqlite3 "$sdbname" "$sql" # and the sheet with row sql="CREATE INDEX idx_cd_sheet_row ON cell_data(sheet,row);" sqlite3 "$sdbname" "$sql" newline=" " #Change the internal separator to CRLF IFS=$'\n' #walk the table and output the results as csv files. # for each sheet (csv file name); for each row, for each value sql="SELECT sheet FROM cell_data group by sheet order by sheet;" sheets=$(sqlite3 "$sdbname" "$sql") for sheet in $sheets do #the columns.id field now collates the columns in spreadsheet order # all we need to know is the maximum number of columns per sheet sql="SELECT c.id FROM columns c INNER JOIN cell_data d ON c.title = d.col WHERE sheet='$sheet' ORDER by c.id DESC limit 1;" maxcol=$(sqlite3 "$sdbname" "$sql") #no single quotes in filename csv=${sheet//\'/} csv="${curdir}/${dirname}_${csv// /_}.csv" #get the rows for the sheet sql="SELECT row FROM cell_data WHERE sheet='$sheet' GROUP BY row ORDER BY row;" rows=$(sqlite3 "$sdbname" "$sql") for row in $rows do #make sure we have a field represented for every column, even if it's empty sql="SELECT d.value FROM columns c left join cell_data d ON c.title = d.col AND d.sheet='$sheet' AND d.row=$row WHERE c.id <= $maxcol;" sqlite3 "$sdbname" "$sql" | #extract the data for the row sed -e 's/"/""/g' -e 's/^/"/' -e 's/$/"/' | #escape embedded quotes tr '\n' ',' | sed "s/,$//" >> "$csv" #convert to csv done done [[ $(hostname) == "wsmkroybal.javelin.pvt" ]] && mv "$sdbname" . #return to the invocation inode popd > /dev/null #clean up the temp folder [[ -z $debug ]] && rm -rf "$dirname" #clean end exit # GNU GENERAL PUBLIC LICENSE # Version 3, 29 June 2007 # # Copyright (C) 2007 Free Software Foundation, Inc. # Everyone is permitted to copy and distribute verbatim copies # of this license document, but changing it is not allowed. # # Preamble # # The GNU General Public License is a free, copyleft license for # software and other kinds of works. # # The licenses for most software and other practical works are designed # to take away your freedom to share and change the works. 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