path: root/xlsx2csv

#!/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 <http://www.gnu.org/licenses/>.
#
#     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 <<EOS
  Usage:  $(basename $0) [-c|--copyleft] [-d|--debug] [-v|--version] -x[|--xlsx] filename
EOS
}

[[ $# -gt 0 ]] || {
  usage
  exit 1
}

for arg
do
  delim=""
  case "$arg" in
    #translate --gnu-long-options to -g (short options)
    --copyleft) args="${args}-c ";;
    --xlsx) args="${args}-x ";;
    --debug) args="${args}-d ";;
    --version) args="${args}-v ";;
    #pass through anything else
    *) leftchar=$(printf %1.1s "$arg")
      [[ ! "$leftchar" == "-" ]] && delim="\""
      args="${args}${delim}${arg}${delim} "
      ;;
  esac
done


#Reset the positional parameters to the short options
eval set -- $args

while getopts ":cdvx:" option 2>/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 <<EOS
  Filename is required.
EOS
  exit 2
}

[[ -f "$filename" ]] || {
  cat <<EOS
  File not found.
EOS
  exit 2

}

#find out what inode we're in
appdir=$(dirname $0)
[[ "$appdir" == "." ]] && appdir=$(pwd)
curdir=$(pwd)
appname=$(basename $0)

#set up some platform specific utilities
gnused=sed
platform=$(uname -s)
[[ "${platform}" == "Darwin" ]] && gnused=gsed

#Make a working directory based on the filename
dirname=$(echo "$filename" | sed -e 's/\.xlsx$//g' -e 's/[[:space:]]/_/g')
[[ -d "$dirname" ]] || mkdir "$dirname"
#copy the source file into it
cp "$filename" "$dirname"
#get in there and push
pushd "$dirname" > /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>.*<\/rPr>//g" >  "xl/sharedStrings.sed"
#blow away embedded garbage
$gnused -i -e "s/<r><t>.<\/t><\/r>//g" -e "s/<si>/\\$newline/g" "xl/sharedStrings.sed"
$gnused -i -e "s/<\/t>.$//g" -e "s/<t>//g"  -e "/^[:space:]]*$/d" "xl/sharedStrings.sed"
$gnused -i -e "s/<t xml:space=\"preserve\">//g" -e 's/<r>//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="<xsl:stylesheet version=\"1.0\" xmlns:xsl=\"http://www.w3.org/1999/XSL/Transform\">
<xsl:output method=\"text\"/>
<xsl:template match=\"sheets\">
  <xsl:apply-templates select=\"sheet\"/>
</xsl:template>
<xsl:template match=\"sheet\">
    INSERT INTO sheets(name,ordinal,rid) VALUES ('<xsl:value-of select=\"translate(@name,&quot;'&quot;,&quot;&quot;)\"/>',<xsl:value-of select=\"@sheetId\"/>,<xsl:value-of select=\"@rid\"/>);
</xsl:template>
</xsl:stylesheet>"
echo -e "$xsl" > "xl/sheets.xsl"

#make a simpler xml file to parse
cat "xl/workbook.xml" |
  sed -e 's/.*<sheets/<sheets/' -e 's/r:id/rid/g' |
  sed -e 's/<\/sheets>.*/<\/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="<xsl:stylesheet version=\"1.0\" xmlns:xsl=\"http://www.w3.org/1999/XSL/Transform\">
<xsl:output method=\"text\"/>
<xsl:template match=\"numFmts\">
  <xsl:apply-templates select=\"numFmt\"/>
</xsl:template>
<xsl:template match=\"numFmt\">
    INSERT INTO fmt_data(numfmtid,formatcode) VALUES ('<xsl:value-of select=\"@numFmtId\"/>','<xsl:value-of select=\"@formatCode\"/>');
</xsl:template>
</xsl:stylesheet>"

#create an xsl stylesheet for formats
echo -e "$fmtxsl" > 'xl/fmt.xsl'

#simplify the input file
cat "xl/styles.xml" | sed -e 's/^.*<numFmts/<numFmts/' -e 's/<\/numFmts>.*/<\/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="<xsl:stylesheet version=\"1.0\" xmlns:xsl=\"http://www.w3.org/1999/XSL/Transform\">
<xsl:output method=\"text\"/>
<xsl:template match=\"cellXfs\">
  <xsl:apply-templates select=\"xf\"/>
</xsl:template>
<xsl:template match=\"xf\">
    INSERT INTO fmt2cell_data(numfmtid) VALUES ('<xsl:value-of select=\"@numFmtId\"/>');
</xsl:template>
</xsl:stylesheet>"

#create an xsl stylesheet for formats
echo -e "$fmtxsl" > 'xl/fmt2cell.xsl'

#simplify the input file
cat "xl/styles.xml" | sed -e 's/^.*<cellXfs/<cellXfs/' |
    sed -e 's/<\/cellXfs>.*/<\/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 "$file" | sed -e 's/.*<sheetData/<sheetData/' |
    sed -e 's/<\/sheetData>.*/<\/sheetData>/' -e '3,$d' > "${file}.data"
 
  #translate the data into sqlite INSERT statements
  # 3 copies of sed streaming are an intentional speed enhancement.
  xsltproc data.xsl "${file}.data" |
      sed -e "s/'/''/g" -e "s/|/'/g" | sed -e 's/&amp;/&/g' |
      sed -e "/'');[[:space:]]*$/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
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