729 lines
22 KiB
Perl
729 lines
22 KiB
Perl
#!/usr/bin/perl
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#
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# Perl script to convert CSV output from glucometer into graphs, using gnuplot.
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#
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# Author: Timothy Allen <tim@treehouse.org.za>
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# License: MIT
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#
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# TODO Convert to python (see # https://www.physicsforums.com/threads/gnuplot-how-to-find-the-area-under-a-curve-integrate.382070/
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# )
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use strict;
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use warnings;
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use Getopt::Long;
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use IPC::Open3;
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use List::Util qw(sum);
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use Time::Piece;
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use Time::Seconds;
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use Data::Dumper;
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$Data::Dumper::Sortkeys = 1;
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my $error = "Usage: $0 --input <CSV file> --output <output PDF> [--max <n.n>] [--low <n.n>] [--high <n.n>]\n";
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my @filelines;
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my @sortedlines;
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my @data;
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my @avg_data;
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my $intervals;
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my %seen_days;
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my %seen_weeks;
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my $page_size;
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my $gnuplot_data;
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my $total_day_graphs;
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my $total_week_graphs;
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my $count_graphs = 0;
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my $page_number = 0;
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my $interval = 15; # The number of minutes to average points for the area range graph
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my $input = '';
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my $output = '';
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# set these values either in mmol/L or mg/dL (don't mix them)
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my $max_glucose = 8;
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my $min_glucose = 4;
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my $graph_max = 21;
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my $noicons = 0;
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my $units = '';
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my $page = 'a4';
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my $graphs_per_page = 2;
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GetOptions ("input=s" => \$input, # The name of the CSV file from which to read values
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"output=s" => \$output, # The name of the PDF file to output
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"high:f" => \$max_glucose, # The high end of your target blood glucose level
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"low:f" => \$min_glucose, # The low end of your target blood glucose level
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"max:i" => \$graph_max, # The highest displayed glucose level on each graph
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"units:s" => \$units, # mmol/L or mg/dL
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"pagesize:s" => \$page, # size of page to print
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"noicons" => \$noicons, # include icons (yes or no)
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"graphs:i" => \$graphs_per_page)# The number of days printed on each page
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or die $error;
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# Calculate the max and min glucose values for each time interval
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# Takes an array ref of lines; returns a hash of intervals by time and min/max
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sub calculate_max_min {
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my %opts = @_;
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my $lines = $opts{lines};
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my $fmt = $opts{format} || qq(%Y-%m-%dT%H:%M:%S);
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my %intervals;
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foreach my $row ( @{$lines} ) {
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my ( $key, $value ) = split / /, $row;
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my $date = Time::Piece->strptime( $key, $fmt );
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my ( $hour, $minute ) = ( $date->hour, $date->min );
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my $time = sprintf( "%02d:%02d:00", $hour, int($minute/$interval)*$interval );
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# Override the current minimum values for this interval if it
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# exists; otherwise, set it
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if ( exists ( $intervals{$time}{min} ) ) {
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if ( $intervals{$time}{min} < $value ) {
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$intervals{$time}{min} = $value;
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}
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} else {
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$intervals{$time}{min} = $value;
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}
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# Override the current maximum values for this interval if it
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# exists; otherwise, set it
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if ( exists ( $intervals{$time}{max} ) ) {
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if ( $intervals{$time}{max} > $value ) {
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$intervals{$time}{max} = $value;
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}
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} else {
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$intervals{$time}{max} = $value;
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}
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}
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return \%intervals;
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}
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open( my $ifh, '<:encoding(UTF-8)', $input )
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or die "Could not open file '$input' $!";
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while ( my $row = <$ifh> ) {
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chomp( $row );
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# Clean up the comments
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my @comments;
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for my $row_comment ( $row =~ m#,"([^"]+?)"$# ) {
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for my $comment ( split /; /, $row_comment ) {
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if ($comment =~ /(Food|Rapid-acting insulin|Long-acting insulin)(?: \((.*?)\))/ ) {
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my $type = $1;
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my $value = $2 if defined $2;
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$value =~ s#(\d+)(\.\d+)?#$1#;
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$value .= "R" if ( $type =~ /Rapid/i );
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$value .= "L" if ( $type =~ /Long/i );
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$type =~ s#Food#{/: 🍎}#i;
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$type =~ s#Rapid-acting insulin#{/: 💉}^{/:=10 ${value}}#i;
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$type =~ s#Long-acting insulin#{/: 💉}^{/:=10 ${value}}#i;
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if ( grep m#\{.*?💉\}#, @comments ) {
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map { s#^(\{.*?💉\}.*\d+\S?)(.*)$#$1/$value$2#i; } @comments;
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} else {
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push @comments, $type;
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}
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}
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}
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}
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my $comment = join "", @comments;
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# Parse CSV into whitespace-separated tokens to avoid conflicting separators
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$row =~ s#^"(\d{4}-\d{2}-\d{2}) (\d{2}:\d{2}:\d{2})","([\d\.]+)",.*,"(.*?)"$#$1T$2 $3 "$comment"#;
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# Remove icons if not requested
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$row =~ s# "[^"]+"## if ( $noicons );
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push @filelines, $row;
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}
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close( $ifh )
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or warn "close failed: $!";
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if ( $page =~ /a4/i ) {
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$page_size = "29.7cm,21.0cm";
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} elsif ( $page =~ /letter/i ) {
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$page_size = "11in,8.5in";
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} elsif ( $page =~ /\d+(cm|in),\d+/ ) {
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$page_size = $page;
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} else {
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# A4 size default
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$page_size = "29.7cm,21.0cm";
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}
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# Standardise units for gnuplot's A1C calculations
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if ( $units =~ /mg/i ) {
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$units = 'mg/dL';
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} elsif ( $units =~ /mmol/i ) {
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$units = 'mmol/L';
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} else {
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$units = '';
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}
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# Get the list of days for which to produce graphs
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foreach my $row ( @filelines ) {
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if ( $row =~ m#^((\d{4})-(\d{2})-(\d{2}))#ms ) {
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my ( $date,$year,$month,$day ) = ( $1, $2, $3, $4 );
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my $time = Time::Piece->strptime( $date, "%Y-%m-%d" );
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my $week = $time->strftime("%W");
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$seen_weeks{$year}{$week}++;
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$seen_days{$date}++;
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}
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}
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# Remove weeks for which there is less than a day of results in that week
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# (In a full day, assuming a reading is taken every 15 minutes, there will be 96 readings)
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foreach my $year ( sort keys %seen_weeks ) {
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foreach my $week ( sort keys %{$seen_weeks{$year}} ) {
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delete $seen_weeks{$year}{$week} if ( scalar $seen_weeks{$year}{$week} < 96 );
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}
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}
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$total_day_graphs = scalar values %seen_days;
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$total_week_graphs = sum map { scalar keys %{$seen_weeks{$_}} } keys %seen_weeks;
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$intervals = calculate_max_min( 'lines' => \@filelines, 'format' => '%Y-%m-%dT%H:%M:%S' );
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# Set up basic gnuplot output options
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push @data, qq(
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set terminal pdf size $page_size enhanced font 'Calibri,14' linewidth 1
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#set output '$output'
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# Set universal styles
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set style fill transparent solid 1 noborder
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# Set style for below-target fills
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set linetype 110 lc rgb "#d71920" # red
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# Set style for above-target fills
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set linetype 111 lc rgb "#f1b80e" # yellow
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# Set style for graph lines
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set linetype 112 lc rgb "#02538f" # blue
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);
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# Read each line into a $Data variable for use by gnuplot
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foreach my $d ( sort keys %seen_days ) {
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my $label = "$1$2$3" if ( $d =~ m#(\d{4})-(\d{2})-(\d{2})# );
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push @data, qq(\$Data$label << EOD);
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@sortedlines = ();
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foreach my $row (@filelines) {
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if ( $row =~ m#^${d}T(.*)$# ) {
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push @sortedlines, qq($1);
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}
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}
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@sortedlines = map { " $_" } @sortedlines; # indent data structure
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push @data, join "\n", sort @sortedlines;
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push @data, qq(EOD);
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}
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# Output data averages by hour of the day
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push @data, qq(\$DataAvg << EOD);
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@sortedlines = ();
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foreach my $row (@filelines) {
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if ( $row =~ m#^\S+?T(\S+) (\S+)# ) {
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push @sortedlines, qq($1 $2);
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}
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}
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@sortedlines = map { " $_" } @sortedlines; # indent data structure
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push @data, join "\n", sort @sortedlines;
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push @data, qq(EOD);
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# Output the max and min glucose values for each $interval time period
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push @data, qq(\$DataMaxMin << EOD);
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@sortedlines = ();
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foreach my $time ( sort keys %$intervals ) {
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push @sortedlines, qq($time $intervals->{$time}->{max} $intervals->{$time}->{min});
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}
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@sortedlines = map { " $_" } @sortedlines; # indent data structure
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push @data, join "\n", sort @sortedlines;
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push @data, qq(EOD);
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# Output weekly data averages by hour of the day
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foreach my $year ( sort keys %seen_weeks ) {
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foreach my $week ( sort keys %{$seen_weeks{$year}} ) {
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my $time = Time::Piece->strptime( $year, "%Y" );
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my $mon = $time + ( ONE_WEEK * ( $week - 1 ) ) + ( ONE_DAY );
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my $sun = $time + ( ONE_WEEK * ( $week - 1 ) ) + ( ONE_DAY * 7 );
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my $label = $mon->strftime("%Y%m%d");
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# Select data from the week in question
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my @weeklines;
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foreach my $row ( @filelines ) {
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foreach my $dow ( 0 .. 6 ) {
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my $day = $mon + ( ONE_DAY * $dow );
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my $d = $day->strftime("%Y-%m-%d");
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if ( $row =~ m#^$d#ms ) {
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push @weeklines, $row;
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}
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}
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}
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push @data, qq(\$DataWeekAvg$label << EOD);
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@sortedlines = ();
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foreach my $row (@weeklines) {
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if ($row =~ m#^\d{4}-\d{2}-\d{2}T(\S+) (\S+) # ) {
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push @sortedlines, qq($1 $2);
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}
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}
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my $week_intervals = calculate_max_min( 'lines' => \@sortedlines, 'format' => '%H:%M:%S' );
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@sortedlines = map { " $_" } @sortedlines; # indent data structure
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push @data, join "\n", sort @sortedlines;
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push @data, qq(EOD);
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push @data, qq(\$DataWeekMaxMin$label << EOD);
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@sortedlines = ();
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foreach my $time ( sort keys %{$week_intervals} ) {
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push @sortedlines, qq($time $week_intervals->{$time}->{max} $week_intervals->{$time}->{min});
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}
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@sortedlines = map { " $_" } @sortedlines; # indent data structure
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push @data, join "\n", sort @sortedlines;
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push @data, qq(EOD);
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}
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}
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# Sample each day's values into a smoothed plot, and store each plot in a new table
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push @data, qq(
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set datafile separator whitespace
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# Read the CSV time format
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#set timefmt "%Y-%m-%dT%H:%M:%S"
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set timefmt "%H:%M:%S"
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# Store in table in seconds, as the value must be a number
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set format x "%s" timedate
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set format y "%.2f" numeric
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);
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foreach my $d ( sort keys %seen_days ) {
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my $label = "$1$2$3" if ( $d =~ m#(\d{4})-(\d{2})-(\d{2})# );
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push @data, qq(
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set samples 10000
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set xdata
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stats \$Data$label using 2
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Mean$label = STATS_mean
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set xdata time
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set table \$SmoothData$label
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plot \$Data$label using 1:2 smooth mcsplines
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unset table
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);
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}
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# Sample the average $interval values into a smoothed plot, and store in a new table
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push @data, qq(
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set datafile separator whitespace
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# Read the CSV time format
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set timefmt "%H:%M:%S"
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# Store in table in seconds, as the value must be a number
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set format x "%s" timedate
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set format y "%.2f" numeric
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set samples 10000
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set xdata
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stats \$DataAvg using 2
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MedianTotal = STATS_median
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MeanTotal = STATS_mean
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set xdata time
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set table \$DataAvgTable
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plot \$DataAvg using 1:2 smooth mcsplines
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unset table
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set table \$SmoothDataAvg
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# Use bezier smoothing
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plot \$DataAvg using 1:2 smooth bezier
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#
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## Alternate: Try a five-point average using data_feedback.dem
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## This is more responsive to outlier points than the bezier, so bezier serves our purposes better
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#samples(x) = \$1 > 4 ? 5 : (\$1+1)
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#avg5(x) = (shift5(x), (back1+back2+back3+back4+back5)/samples(\$1))
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#shift5(x) = (back5 = back4, back4 = back3, back3 = back2, back2 = back1, back1 = x)
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## Initialize a running sum
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#init(x) = (back1 = back2 = back3 = back4 = back5 = sum = 0)
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#plot sum = init(0), \$DataAvg using 1:(avg5(\$2)) every 2 smooth mcsplines, \$DataAvg using 1:2 smooth bezier
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#
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unset table
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# Convert DataMaxMin from CSV to table
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set table \$DataMaxMinTable
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plot \$DataMaxMin using 1:2:3 with table
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unset table
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);
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# Sample the average $interval values by week into a smoothed plot, and store each in a new table
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foreach my $year ( sort keys %seen_weeks ) {
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foreach my $week ( sort keys %{$seen_weeks{$year}} ) {
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my $time = Time::Piece->strptime( "$year", "%Y" );
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my $mon = $time + ( ONE_WEEK * ( $week - 1 ) ) + ( ONE_DAY );
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my $label = $mon->strftime("%Y%m%d");
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push @data, qq(
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set datafile separator whitespace
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set timefmt "%H:%M:%S"
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set format x "%s" timedate
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set format y "%.2f" numeric
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set samples 10000
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set xdata
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stats \$DataWeekAvg$label using 2
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MedianTotal$label = STATS_mean
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MeanTotal$label = STATS_mean
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set xdata time
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set table \$DataWeekAvgTable$label
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plot \$DataWeekAvg$label using 1:2 smooth mcsplines
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unset table
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set table \$SmoothDataWeekAvg$label
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plot \$DataWeekAvg$label using 1:2 smooth bezier
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unset table
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# Convert DataWeekMaxMin from CSV to table
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set table \$DataWeekMaxMinTable$label
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plot \$DataWeekMaxMin$label using 1:2:3 with table
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unset table
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);
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}
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}
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# Set up output options for gnuplot.
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# We don't bother to do this at the start, since the CSV needs a comma separator
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# and the new $SmoothData, which contains a table, needs a whitespace separator
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push @data, qq(
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# ensure separator handles tables
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set datafile separator whitespace
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set key off
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set style data lines
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set xdata time
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set timefmt "%H:%M:%S"
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set format x "%H:%M" timedate
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set format y "%.0f" numeric
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# If extended to 23:59, the x grid overlaps with the border
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set xrange ["00:00":"23:58"]
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set yrange [0:$graph_max]
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set lmargin 12
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set rmargin 10
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set tmargin 5
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set bmargin 5
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);
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# Plot and display a graph with the average glucose values for every $interval for all recorded days
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push @data, qq(
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# ensure separator handles tables
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set datafile separator whitespace
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set key off
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set style data lines
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set xdata time
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set timefmt "%H:%M:%S"
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set format x "%H:%M" timedate
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set format y "%.0f" numeric
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# If extended to 23:59, the x grid overlaps with the border
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set xrange ["00:00":"23:58"]
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set yrange [0:$graph_max]
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set lmargin 12
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set rmargin 10
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set tmargin 5
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set bmargin 5
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set multiplot layout $graphs_per_page,1
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# Add an x grid
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set title " "
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set xlabel " " offset 0,-0.25
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set ylabel " "
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set xtics tc rgb "#ffffff00"
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set ytics tc rgb "#ffffff00"
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unset grid
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set grid xtics lt 1 dt 1 lw 0.75 lc rgb "#a0a0a0" back
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plot 1/0
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unset grid
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set multiplot previous
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set title "Overall Average Daily Glucose" font "Calibri,18"
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set xlabel "Time" offset 0,-0.25
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set ylabel "Blood glucose"
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set xtics left scale 0 tc rgb "#000000"
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set ytics 2 scale 0 tc rgb "#000000"
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set grid ytics lt 1 dt 3 lw 1 lc rgb "#202020" front
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set object 1 rect from graph 0, first $min_glucose to graph 1,first $max_glucose back fc rgb "#0072b2" fs solid 0.2 transparent border rgb "#a8a8a8"
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AVG = MedianTotal
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AVG_LABEL = gprintf("Median glucose: %.2f", AVG)
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set object 2 rect at graph 0.9, graph 0.9 fc ls 2 fs transparent solid 0.7 front size char strlen(AVG_LABEL), char 3
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set label 2 AVG_LABEL at graph 0.9, graph 0.9 front center
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A1C = 0
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if (A1C == 0 && '$units' eq 'mg/dL') {
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A1C = (MeanTotal + 46.7) / 28.7
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}
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if (A1C == 0 && '$units' eq 'mmol/L') {
|
|
A1C = (MeanTotal + 2.59) / 1.59
|
|
}
|
|
# mg/dL numbers tend to be higher than 35
|
|
if (A1C == 0 && MedianTotal >= 35) {
|
|
A1C = (MeanTotal + 46.7) / 28.7
|
|
}
|
|
# mmol/L numbers tend to be lower than 35
|
|
if (A1C == 0 && MedianTotal < 35) {
|
|
A1C = (MeanTotal + 2.59) / 1.59
|
|
}
|
|
|
|
A1C_LABEL = gprintf("Average A1c: %.1f%%", A1C)
|
|
set object 3 rect at graph 0.07, graph 0.9 fc ls 4 fs transparent solid 0.7 front size char strlen(A1C_LABEL), char 3
|
|
set label 3 A1C_LABEL at graph 0.07, graph 0.9 front center
|
|
|
|
plot \$DataMaxMinTable using (strftime("%H:%M:%S", \$1)):2:3 with filledcurves lc rgb "#979797" fs transparent solid 0.5, \$SmoothDataAvg using (strftime("%H:%M:%S", \$1)):2:( \$2 > $max_glucose || \$2 < $min_glucose ? 110 : 112 ) with lines lw 3 lc variable
|
|
|
|
unset object 1
|
|
unset object 2
|
|
unset object 3
|
|
unset label 2
|
|
unset label 3
|
|
|
|
unset multiplot
|
|
);
|
|
# End overall average plot
|
|
|
|
|
|
|
|
# Plot and display a graph with the average glucose values for every $interval for recorded days in a given week
|
|
push @data, qq(
|
|
set datafile separator whitespace
|
|
|
|
set key off
|
|
set style data lines
|
|
set xdata time
|
|
set timefmt "%H:%M:%S"
|
|
set format x "%H:%M" timedate
|
|
set format y "%.0f" numeric
|
|
# If extended to 23:59, the x grid overlaps with the border
|
|
set xrange ["00:00":"23:58"]
|
|
set yrange [0:$graph_max]
|
|
|
|
set lmargin 12
|
|
set rmargin 10
|
|
set tmargin 5
|
|
set bmargin 5
|
|
|
|
set multiplot layout $graphs_per_page,1
|
|
);
|
|
|
|
$count_graphs = 0;
|
|
foreach my $year ( reverse sort keys %seen_weeks ) {
|
|
foreach my $week ( reverse sort keys %{$seen_weeks{$year}} ) {
|
|
my $time = Time::Piece->strptime( "$year", "%Y" );
|
|
my $mon = $time + ( ONE_WEEK * ( $week - 1 ) ) + ( ONE_DAY );
|
|
my $sun = $time + ( ONE_WEEK * ( $week - 1 ) ) + ( ONE_DAY * 7 );
|
|
my $title = $mon->strftime("%A, %d %B %Y") . " to " . $sun->strftime("%A, %d %B %Y");
|
|
my $label = $mon->strftime("%Y%m%d");
|
|
$count_graphs++;
|
|
push @data, qq(
|
|
# Add an x grid
|
|
set title " "
|
|
set xlabel " " offset 0,-0.25
|
|
set ylabel " "
|
|
set xtics tc rgb "#ffffff00"
|
|
set ytics tc rgb "#ffffff00"
|
|
unset grid
|
|
set grid xtics lt 1 dt 1 lw 0.75 lc rgb "#a0a0a0" back
|
|
plot 1/0
|
|
unset grid
|
|
set multiplot previous
|
|
|
|
set title "Average Daily Glucose from $title" font "Calibri,18"
|
|
set xlabel "Time" offset 0,-0.25
|
|
set ylabel "Blood glucose"
|
|
set xtics left scale 0 tc rgb "#000000"
|
|
set ytics 2 scale 0 tc rgb "#000000"
|
|
set grid ytics lt 1 dt 3 lw 1 lc rgb "#202020" front
|
|
|
|
set object 1 rect from graph 0, first $min_glucose to graph 1,first $max_glucose back fc rgb "#0072b2" fs solid 0.2 transparent border rgb "#a8a8a8"
|
|
|
|
AVG = MedianTotal$label
|
|
AVG_LABEL = gprintf("Median glucose: %.2f", AVG)
|
|
set object 2 rect at graph 0.9, graph 0.9 fc ls 2 fs transparent solid 0.7 front size char strlen(AVG_LABEL), char 3
|
|
set label 2 AVG_LABEL at graph 0.9, graph 0.9 front center
|
|
|
|
A1C = 0
|
|
if (A1C == 0 && '$units' eq 'mg/dL') {
|
|
A1C = (MeanTotal$label + 46.7) / 28.7
|
|
}
|
|
if (A1C == 0 && '$units' eq 'mmol/L') {
|
|
A1C = (MeanTotal$label + 2.59) / 1.59
|
|
}
|
|
# mg/dL numbers tend to be higher than 35
|
|
if (A1C == 0 && MedianTotal$label >= 35) {
|
|
A1C = (MeanTotal$label + 46.7) / 28.7
|
|
}
|
|
# mmol/L numbers tend to be lower than 35
|
|
if (A1C == 0 && MedianTotal$label < 35) {
|
|
A1C = (MeanTotal$label + 2.59) / 1.59
|
|
}
|
|
|
|
A1C_LABEL = gprintf("Average A1c: %.1f%%", A1C)
|
|
set object 3 rect at graph 0.07, graph 0.9 fc ls 4 fs transparent solid 0.7 front size char strlen(A1C_LABEL), char 3
|
|
set label 3 A1C_LABEL at graph 0.07, graph 0.9 front center
|
|
|
|
plot \$DataWeekMaxMinTable$label using (strftime("%H:%M:%S", \$1)):2:3 with filledcurves lc rgb "#979797" fs transparent solid 0.5, \$SmoothDataWeekAvg$label using (strftime("%H:%M:%S", \$1)):2:( \$2 > $max_glucose || \$2 < $min_glucose ? 110 : 112 ) with lines lw 3 lc variable
|
|
|
|
unset object 1
|
|
unset object 2
|
|
unset object 3
|
|
unset label 2
|
|
unset label 3
|
|
);
|
|
if ( $count_graphs % $graphs_per_page == 0 && $count_graphs <= $total_week_graphs ) {
|
|
push @data, qq(unset multiplot);
|
|
push @data, qq(set multiplot layout $graphs_per_page,1) unless ($count_graphs == $total_week_graphs);
|
|
$page_number++;
|
|
}
|
|
}
|
|
}
|
|
|
|
push @data, qq(
|
|
set multiplot layout $graphs_per_page,1
|
|
);
|
|
$count_graphs = 0;
|
|
# For each day, generate a graph with some fancy options
|
|
foreach my $d ( reverse sort keys %seen_days ) {
|
|
my $label = "$1$2$3" if ( $d =~ m#(\d{4})-(\d{2})-(\d{2})# );
|
|
my $time = Time::Piece->strptime( $d, "%Y-%m-%d" );
|
|
#my $title = $time->strftime("%a %d %b %Y");
|
|
my $title = $time->strftime("%A, %d %B %Y");
|
|
|
|
$count_graphs++;
|
|
|
|
push @data, qq(
|
|
# Add an x grid
|
|
set title " "
|
|
set xlabel " " offset 0,-0.25
|
|
set ylabel " "
|
|
set xtics tc rgb "#ffffff00"
|
|
set ytics tc rgb "#ffffff00"
|
|
unset grid
|
|
set grid xtics lt 1 dt 1 lw 0.75 lc rgb "#a0a0a0" back
|
|
plot 1/0
|
|
unset grid
|
|
set multiplot previous
|
|
|
|
set title "Daily Glucose Summary for $title" font "Calibri,18"
|
|
set xlabel "Time" offset 0,-0.25
|
|
set ylabel "Blood glucose"
|
|
set xtics left scale 0 tc rgb "#000000"
|
|
set ytics 2 scale 0 tc rgb "#000000"
|
|
set grid ytics lt 1 dt 3 lw 1 lc rgb "#202020" front
|
|
|
|
set object 1 rect from graph 0, first $min_glucose to graph 1,first $max_glucose back fc rgb "#0072b2" fs solid 0.2 transparent border rgb "#a8a8a8"
|
|
|
|
AVG = Mean$label
|
|
AVG_LABEL = gprintf("Median glucose: %.2f", AVG)
|
|
set object 2 rect at graph 0.9, graph 0.9 fc ls 2 fs transparent solid 0.7 front size char strlen(AVG_LABEL), char 3
|
|
set label 2 AVG_LABEL at graph 0.9, graph 0.9 front center
|
|
|
|
#plot \$SmoothData$label using (strftime("%H:%M:%S", \$1)):2:( \$2 > $max_glucose ? 111 : ( \$2 < $min_glucose ? 110 : 1 ) ) with lines lw 3 lc variable , \$Data$label using 1:($graph_max-6):3 with labels font "Calibri,18" enhanced
|
|
|
|
plot \$SmoothData$label using (strftime("%H:%M:%S", \$1)):2:( $max_glucose ) with filledcurves above lc 111 fs solid 1.0, \$SmoothData$label using (strftime("%H:%M:%S", \$1)):2:( $min_glucose ) with filledcurves below lc 110 fs solid 1.0, \$SmoothData$label using (strftime("%H:%M:%S", \$1)):2 with lines lw 3 lc 112, \$Data$label using 1:($graph_max-6):3 with labels font "Calibri,18" enhanced
|
|
|
|
unset object 1
|
|
unset object 2
|
|
unset object 3
|
|
unset label 2
|
|
unset label 3
|
|
);
|
|
|
|
if ( $count_graphs % $graphs_per_page == 0 && $count_graphs <= $total_day_graphs ) {
|
|
push @data, qq(unset multiplot);
|
|
push @data, qq(set multiplot layout $graphs_per_page,1) unless ($count_graphs == $total_day_graphs);
|
|
$page_number++;
|
|
}
|
|
|
|
}
|
|
# End daily graph plot
|
|
|
|
push @data, qq(
|
|
unset multiplot
|
|
#test
|
|
);
|
|
|
|
# Cleanup stored variables
|
|
foreach my $d ( sort keys %seen_days ) {
|
|
my $label = "$1$2$3" if ( $d =~ m#(\d{4})-(\d{2})-(\d{2})# );
|
|
push @data, qq(undefine \$Data$label);
|
|
push @data, qq(undefine \$SmoothData$label);
|
|
}
|
|
|
|
push @data, qq(
|
|
undefine \$DataAvg
|
|
undefine \$DataAvgTable
|
|
undefine \$SmoothDataAvg
|
|
undefine \$DataMaxMin
|
|
undefine \$DataMaxMinTable
|
|
);
|
|
|
|
|
|
# run the data through gnuplot
|
|
$gnuplot_data = join "\n", @data;
|
|
#print $gnuplot_data;
|
|
|
|
open( my $ofh, '>', $output )
|
|
or die "Could not open file '$output' $!";
|
|
|
|
my ( $pid, $stdin, $stdout, $stderr );
|
|
use Symbol 'gensym';
|
|
$stderr = gensym;
|
|
|
|
$pid = open3( $stdin, $stdout, $stderr, 'gnuplot' );
|
|
|
|
print $stdin $gnuplot_data;
|
|
close( $stdin );
|
|
|
|
while ( <$stdout> ) {
|
|
print $ofh "$_";
|
|
}
|
|
|
|
while ( <$stderr> ) {
|
|
warn $_;
|
|
}
|
|
|
|
close($stdout);
|
|
close($stderr);
|
|
|
|
waitpid( $pid, 0 );
|
|
my $child_exit_status = $? >> 8;
|
|
|
|
close( $ofh )
|
|
or warn "close failed: $!";
|
|
|
|
#open(GNUPLOT, "|gnuplot");
|
|
#print GNUPLOT $gnuplot_data;
|
|
#close(GNUPLOT);
|
|
|
|
# vim: set expandtab shiftwidth=4 softtabstop=4 tw=0 :
|