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# Source code for pywws.Plot

    #!/usr/bin/env python
    # -*- coding: utf-8 -*-

    # pywws - Python software for USB Wireless Weather Stations
    # http://github.com/jim-easterbrook/pywws
    # Copyright (C) 2008-13  Jim Easterbrook  jim@jim-easterbrook.me.uk

    # 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 2
    # 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, write to the Free Software
    # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.

    """Plot graphs of weather data according to an XML recipe
    ::

    %s

    Introduction
    ------------

    Like Template.py this is one of the more difficult to use modules in
    the weather station software collection. It plots a graph (or set of
    graphs) of weather data. Almost everything about the graph is
    controlled by an XML file. I refer to these files as templates, but
    they aren't templates in the same sense as Template.py uses to create
    text files.

    Before writing your own graph template files, it might be useful to
    look at some of the examples in the example_graph_templates directory.
    If (like I was) you are unfamiliar with XML, I suggest reading the W3
    Schools XML tutorial.

    XML graph file syntax
    ^^^^^^^^^^^^^^^^^^^^^

    Here is the simplest useful graph template. It plots the external
    temperature for the last 24 hours. ::

      <?xml version="1.0" encoding="ISO-8859-1"?>
      <graph>
        <plot>
          <subplot>
            <title>Temperature (°C)</title>
            <ycalc>data['temp_out']</ycalc>
          </subplot>
        </plot>
      </graph>

    In this example, the root element graph has one plot element, which
    has one subplot element. The subplot element contains a title element
    and a ycalc element. To plot more data on the same set of axes (for
    example dew point and temperature), we can add more subplot elements.
    To plot more than one set of axes (for example wind speed is measured
    in different units from temperature) in the same file we can add more
    plot elements.

    The complete element hierarchy is shown below. ::

        graph
            plot
                subplot
                    xcalc
                    ycalc
                    axes
                    style
                    colour
                    title
                bmargin
                yrange
                y2range
                ytics
                y2tics
                ylabel
                ylabelangle
                y2label
                y2labelangle
                grid
                source
                boxwidth
                title
                command
            start
            stop
            duration
            layout
            size
            fileformat
            terminal
            lmargin
            rmargin
            xformat
            xlabel
            dateformat
            xtics
            title

    graph
    ^^^^^

    This is the root element of the graph XML file. It does not have to be
    called "graph", but there must be exactly one root element.

    plot
    ^^^^

    Every graph element should contain at least one plot element. A
    separate graph is drawn for each plot element, but all share the same
    X axis.

    start
    ^^^^^

    This element sets the date & time of the start of the X axis. It is
    used in the constructor of a Python datetime object. For example, to
    start the graph at noon (local time) on Christmas day 2008:
    ``<start>year=2008, month=12, day=25, hour=12</start>``. The default
    value is (stop - duration).

    stop
    ^^^^

    This element sets the date & time of the end of the X axis. It is used
    in the constructor of a Python datetime object. For example, to end
    the graph at 10 am (local time) on new year's day: ``<stop>year=2009,
    month=1, day=1, hour=10</stop>``. The default value is (start +
    duration), unless start is not defined in which case the timestamp of
    the latest weather station hourly reading is used.

    duration
    ^^^^^^^^

    This element sets the extent of the X axis of the graph, unless both
    start and stop are defined. It is used in the constructor of a Python
    timedelta object. For example, to plot one week:
    ``<duration>weeks=1</duration>``. The default value is hours=24.

    layout
    ^^^^^^

    Controls the layout of the plots. Default is a single column. The
    layout element specifies rows and columns. For example: ``<layout>4,
    2</layout>`` will use a grid of 4 rows and 2 columns.

    size
    ^^^^

    Sets the overall dimensions of the image file containing the graph.
    Default (in a single column layout) is a width of 600 pixels and
    height of 200 pixels for each plot, so a graph with four plot elements
    would be 600 x 800 pixels. Any size element must include both width
    and height. For example: ``<size>800, 600</size>`` will produce an
    image 800 pixels wide and 600 pixels high.

    fileformat
    ^^^^^^^^^^

    Sets the image format of the file containing the graph. Default is
    png. Any string recognised by your installation of gnuplot should do.
    For example: ``<fileformat>gif</fileformat>`` will produce a GIF
    image.

    terminal
    ^^^^^^^^

    Allows complete control of gnuplot's 'terminal' settings. You may want
    to use this if you are plotting to an unusual image format. Any string
    recognised by your installation of gnuplot's 'set terminal' command
    should do. For example: ``<terminal>svg enhanced font "arial,9" size
    600,800 dynamic rounded</terminal>``. This setting overwrites both
    size and fileformat.

    lmargin
    ^^^^^^^

    Sets the left margin of the plots, i.e. the distance from the left
    hand axis to the left hand edge of the image area. According to the
    gnuplot documentation the units of lmargin are character widths. The
    default value is 5, which should look OK in most circumstances.

    rmargin
    ^^^^^^^

    Sets the right margin of the plots, i.e. the distance from the right
    hand axis to the right hand edge of the image area. According to the
    gnuplot documentation the units of rmargin are character widths. The
    default value is -1, which sets automatic adjustment.

    xformat
    ^^^^^^^

    Sets the format of the time / date xtic labels. The value is a
    strftime style format string. Default depends on the graph duration:
    24 hours or less is "%%H%%M", 24 hours to 7 days is "%%a %%d" and 7
    days or more is "%%Y/%%m/%%d".

    xlabel
    ^^^^^^

    Sets the X axis label. The value is a strftime style format string.
    Default depends on the graph duration: 24 hours or less is "Time
    (%%Z)", 24 hours to 7 days is "Day" and 7 days or more is "Date". The
    datetime used to compute this is start, which may produce unexpected
    results when a graph spans DST start or end.

    dateformat
    ^^^^^^^^^^

    Sets the format of the date labels at each end of X axis. The value is
    a strftime style format string. Default is "%%Y/%%m/%%d". The right
    hand label is only drawn if it differs from the left. To have no
    labels, set an empty format: ``<dateformat></dateformat>``

    xtics
    ^^^^^

    Sets the spacing of the "tic" marks on the X axis. The value is an
    integer number of hours. The default is to allow gnuplot to set an
    appropriate interval.

    title
    ^^^^^

    Sets the title of the graph. A single line of text, for example:
    ``<title>Today's weather</title>``. This title appears at the very top
    of the graph, outside any plot area.

    subplot
    ^^^^^^^

    Every plot element should contain at least one subplot element. A
    separate trace is drawn for each subplot element, but all share the
    same X and Y axes.

    bmargin
    ^^^^^^^

    Sets the bottom margin, i.e. the spacing between the lower X axis and
    the edge of the graph (or the next plot). The default is to let
    gnuplot adjust this automatically, which works OK most of the time but
    you may wish to fine tune the value to suit your installation.

    The permitted value is any non-negative real number. On my setup 0.9
    is a good value, set as follows: ``<bmargin>0.9</bmargin>``.

    yrange
    ^^^^^^

    Sets the lower and upper limits of the (left hand) Y axis. The value
    is anything understood by gnuplot, typically a pair of numbers. The
    default is to allow gnuplot to set appropriate values, which is
    unlikely to be what you want. For example, to plot typical UK
    temperatures with no value going off the graph: ``<yrange>-10,
    30</yrange>``. Note that commas are converted to colons, so
    ``<yrange>-10:30</yrange>`` would be equivalent.

    You can use an asterisk to have gnuplot choose a suitable value. For
    example, to have the upper value auto scale whilst fixing the lower
    value at zero, use ``<yrange>0:*</yrange>``.

    y2range
    ^^^^^^^

    Sets the lower and upper limits of the right hand Y axis. Default is
    for the right hand Y axis to be the same as the left, but setting a
    different range is useful in dual axis plotting.

    ytics
    ^^^^^

    Controls the "tic" marks on the left hand Y axis. The value can be
    anything that's understood by gnuplot. For example, to set the tic
    spacing to 45 use ``<ytics>45</ytics>``. More complex things are also
    possible, e.g. to label a wind direction graph with compass points,
    use ``<y2tics>('N' 0, 'E' 90, 'S' 180, 'W' 270, 'N' 360)</y2tics>``.

    y2tics
    ^^^^^^

    Controls the "tic" marks on the right hand axis. The format is the
    same as that for ytics. Default behaviour is to copy the left hand tic
    marks, but without labels.

    ylabel
    ^^^^^^

    Adds a label to the (left hand) Y axis. For example, when plotting
    temperature: ``<ylabel>°C</ylabel>``. If you use ylabel you will
    probably want to adjust lmargin.

    ylabelangle
    ^^^^^^^^^^^

    Adjust the angle of the (left hand) Y axis label, if your version of
    gnuplot supports it. For example, to write the label horizontally:
    ``<ylabelangle>90</ylabelangle>``.

    y2label
    ^^^^^^^

    Adds a label to the right hand Y axis. For example, when plotting
    humidity: ``<y2label>%%</y2label>``. This is mostly used when plotting
    dual axis graphs. If you use y2label you will probably want to adjust
    rmargin.

    y2labelangle
    ^^^^^^^^^^^^

    Adjust the angle of the right hand Y axis label, if your version of
    gnuplot supports it. For example, to write the label horizontally:
    ``<y2labelangle>90</y2labelangle>``.

    grid
    ^^^^

    Adds a grid to the plot. In most situations gnuplot's default grid is
    suitable, so no value is needed: ``<grid></grid>``. More control is
    possible using any of the options understood by gnuplot's set grid
    command. For example, to have horizontal grid lines only:
    ``<grid>ytics</grid>``.

    source
    ^^^^^^

    Select the weather data to be plotted. Permitted values are
    ``<source>raw</source>``, ``<source>hourly</source>``,
    ``<source>daily</source>`` and ``<source>monthly</source>``. Default
    is raw. Note that the different sources have different data
    dictionaries, so this choice affects ycalc.

    boxwidth
    ^^^^^^^^

    Sets the width of the "boxes" used when drawing bar graphs. The value
    is an integer expression yielding a number of seconds. Default depends
    on source: raw is 240, hourly is 2800 and daily is 2800 * 24.

    title
    ^^^^^

    Sets the title of the plot. A single line of text, for example:
    ``<title>Temperature (°C)</title>``. This title appears within the
    plot area, above any subplot titles.

    command
    ^^^^^^^

    Execute any gnuplot command, just before the main "plot" command. This
    option allows advanced users to have greater control over the graph
    appearance. The value is any valid gnuplot command, typically
    beginning with the word set. For example: ``<command>set key tmargin
    center horizontal width 1 noreverse enhanced autotitles box linetype
    -1 linewidth 1</command>``. (Don't ask me what this example does — I'm
    not an advanced user).

    xcalc
    ^^^^^

    Controls the X axis positioning of plotted data values. The default
    value of data['idx'] is correct for most data, but there are some
    exceptions. For example, when plotting bar charts of hourly rainfall,
    it's nice to centre the bars on 30 minutes past the hour:
    ``<xcalc>data['idx'].replace(minute=30, second=0)</xcalc>``.

    ycalc
    ^^^^^

    Selects the data to be plotted. Any one line Python expression that
    returns a single float value can be used. At its simplest this just
    selects one value from the "data" dictionary, for example:
    ``<ycalc>data['temp_out']</ycalc>`` plots the external temperature.
    More complex expressions are possible, and some helper functions are
    provided. For example: ``<ycalc>dew_point(data['temp_out'],
    data['hum_out'])</ycalc>`` plots the external dew point, and
    ``<ycalc>wind_mph(data['wind_ave'])</ycalc>`` plots the average wind
    speed in miles per hour.

    Cumulative plots are also possible. The result of each ycalc
    computation is stored and made available to the next computation in
    the variable last_ycalc. This can be used with any data, but is most
    useful with rainfall: ``<ycalc>data['rain'] + last_ycalc</ycalc>``.

    axes
    ^^^^

    Selects which Y axis the data is plotted against. Default is the left
    hand axis, but the right hand axis can be chosen with:
    ``<axes>x1y2</axes>``. This can be used in conjunction with y2range to
    plot two unrelated quantities on one graph, for example temperature
    and humidity.

    style
    ^^^^^

    Sets the line style for the graph. Default is a smooth continuous
    line, thickness 1. To select a bar graph use: ``<style>box</style>``.
    To select points without a connecting line use: ``<style>+</style>``
    or ``<style>x</style>``. To select a line thickness 3 (for example)
    use: ``<style>line 3</style>``. The thickness of points can be set in
    a similar fashion. For complete control (for advanced users) a full
    gnuplot style can be set: ``<style>smooth unique lc 5 lw 3</style>``.

    colour
    ^^^^^^

    Sets the colour of the subplot line or boxes. Any integer value is
    accepted. The mapping of colours to numbers is set by gnuplot. Default
    value is the previous colour plus one.

    title
    ^^^^^

    Sets the title of the subplot. A single line of text, for example:
    ``<title>Temperature (°C)</title>``. This title appears within the
    plot area, next to a short segment of the line colour used for the
    subplot.

    Detailed API
    ------------

    """

    __docformat__ = "restructuredtext en"
    __usage__ = """
     usage: python -m pywws.Plot [options] data_dir temp_dir xml_file output_file
     options are:
      -h or --help    display this help
     data_dir is the root directory of the weather data
     temp_dir is a workspace for temporary files e.g. /tmp
     xml_file is the name of the source file that describes the plot
     output_file is the name of the image file to be created e.g. 24hrs.png
    """
    __doc__ %= __usage__
    __usage__ = __doc__.split('\n')[0] + __usage__

    import codecs
    from datetime import datetime, timedelta
    import getopt
    import locale
    import logging
    import os
    import subprocess
    import sys
    import xml.dom.minidom

    from pywws.conversions import *
    from pywws import DataStore
    from pywws import Localisation
    from pywws.Logger import ApplicationLogger
    from pywws.TimeZone import Local

    class BasePlotter(object):
        def __init__(self, params, status, raw_data, hourly_data,
                     daily_data, monthly_data, work_dir):
            self.logger = logging.getLogger('pywws.%s' % self.__class__.__name__)
            self.raw_data = raw_data
            self.hourly_data = hourly_data
            self.daily_data = daily_data
            self.monthly_data = monthly_data
            self.work_dir = work_dir
            self.pressure_offset = eval(params.get('config', 'pressure offset'))
            self.gnuplot_version = eval(
                params.get('config', 'gnuplot version', '4.2'))
            # set language related stuff
            self.encoding = params.get('config', 'gnuplot encoding', 'iso_8859_1')
            # create work directory
            if not os.path.isdir(self.work_dir):
                os.makedirs(self.work_dir)

        def DoPlot(self, input_file, output_file):
            # read XML graph description
            self.doc = xml.dom.minidom.parse(input_file)
            self.graph = self.GetChildren(self.doc, 'graph')
            if not self.graph:
                self.logger.error('%s has no graph node' % input_file)
                self.doc.unlink()
                return 1
            self.graph = self.graph[0]
            # get list of plots
            plot_list = self.GetPlotList()
            self.plot_count = len(plot_list)
            if self.plot_count < 1:
                # nothing to plot
                self.logger.info('%s has no plot nodes' % input_file)
                self.doc.unlink()
                return 1
            # get start and end datetimes
            self.x_lo = self.GetValue(self.graph, 'start', None)
            self.x_hi = self.GetValue(self.graph, 'stop', None)
            self.duration = self.GetValue(self.graph, 'duration', None)
            if self.duration == None:
                self.duration = timedelta(hours=24)
            else:
                self.duration = eval('timedelta(%s)' % self.duration)
            if self.x_lo != None:
                self.x_lo = eval('datetime(%s)' % self.x_lo)
                if self.x_hi != None:
                    self.x_hi = eval('datetime(%s)' % self.x_hi)
                    self.duration = self.x_hi - self.x_lo
                else:
                    self.x_hi = self.x_lo + self.duration
            elif self.x_hi != None:
                self.x_hi = eval('datetime(%s)' % self.x_hi)
                self.x_lo = self.x_hi - self.duration
            else:
                self.x_hi = self.hourly_data.before(datetime.max)
                if self.x_hi == None:
                    self.x_hi = datetime.utcnow()    # only if no hourly data
                # set end of graph to start of the next hour after last item
                self.x_hi = self.x_hi + timedelta(minutes=55)
                self.x_hi = self.x_hi.replace(minute=0, second=0)
                self.x_lo = self.x_hi - self.duration
                self.x_hi = self.x_hi + Local.utcoffset(self.x_lo)
                self.x_lo = self.x_hi - self.duration
            self.utcoffset = Local.utcoffset(self.x_lo)
            # open gnuplot command file
            self.tmp_files = []
            cmd_file = os.path.join(self.work_dir, 'plot.cmd')
            self.tmp_files.append(cmd_file)
            if sys.version_info[0] >= 3:
                of = open(cmd_file, 'w', encoding=self.encoding)
            else:
                of = open(cmd_file, 'w')
            # write gnuplot set up
            self.rows = self.GetDefaultRows()
            self.cols = (self.plot_count + self.rows - 1) // self.rows
            self.rows, self.cols = eval(self.GetValue(
                self.graph, 'layout', '%d, %d' % (self.rows, self.cols)))
            w, h = self.GetDefaultPlotSize()
            w = w * self.cols
            h = h * self.rows
            w, h = eval(self.GetValue(self.graph, 'size', '(%d, %d)' % (w, h)))
            fileformat = self.GetValue(self.graph, 'fileformat', 'png')
            if fileformat == 'svg':
                terminal = '%s enhanced font "arial,9" size %d,%d dynamic rounded' % (
                    fileformat, w, h)
            else:
                terminal = '%s large size %d,%d' % (fileformat, w, h)
            terminal = self.GetValue(self.graph, 'terminal', terminal)
            of.write('set encoding %s\n' % (self.encoding))
            lcl = locale.getlocale()
            if lcl[0]:
                of.write('set locale "%s.%s"\n' % lcl)
            of.write('set terminal %s\n' % (terminal))
            of.write('set output "%s"\n' % (output_file))
            # set overall title
            title = self.GetValue(self.graph, 'title', '')
            if title:
                if sys.version_info[0] < 3:
                    title = title.encode(self.encoding)
                title = 'title "%s"' % title
            of.write('set multiplot layout %d, %d %s\n' % (self.rows, self.cols, title))
            # do actual plots
            of.write(self.GetPreamble())
            for plot_no in range(self.plot_count):
                plot = plot_list[plot_no]
                # set key / title location
                title = self.GetValue(plot, 'title', '')
                if sys.version_info[0] < 3:
                    title = title.encode(self.encoding)
                of.write('set key horizontal title "%s"\n' % title)
                # optional yaxis labels
                ylabel = self.GetValue(plot, 'ylabel', '')
                if ylabel:
                    if sys.version_info[0] < 3:
                        ylabel = ylabel.encode(self.encoding)
                    ylabelangle = self.GetValue(plot, 'ylabelangle', '')
                    if ylabelangle:
                        ylabelangle = ' rotate by %s' % (ylabelangle)
                    of.write('set ylabel "%s"%s\n' % (ylabel, ylabelangle))
                else:
                    of.write('set ylabel\n')
                y2label = self.GetValue(plot, 'y2label', '')
                if y2label:
                    if sys.version_info[0] < 3:
                        y2label = y2label.encode(self.encoding)
                    y2labelangle = self.GetValue(plot, 'y2labelangle', '')
                    if y2labelangle:
                        y2labelangle = ' rotate by %s' % (y2labelangle)
                    of.write('set y2label "%s"%s\n' % (y2label, y2labelangle))
                else:
                    of.write('set y2label\n')
                # set data source
                source = self.GetValue(plot, 'source', 'raw')
                if source == 'raw':
                    source = self.raw_data
                elif source == 'hourly':
                    source = self.hourly_data
                elif source == 'monthly':
                    source = self.monthly_data
                else:
                    source = self.daily_data
                # do the plot
                of.write(self.PlotData(plot_no, plot, source))
            of.close()
            self.doc.unlink()
            # run gnuplot on file
            subprocess.check_call(['gnuplot', cmd_file])
            for file in self.tmp_files:
                os.unlink(file)
            return 0

        def GetChildren(self, node, name):
            result = []
            for child in node.childNodes:
                if child.localName == name:
                    result.append(child)
            return result

        def GetValue(self, node, name, default):
            for child in node.childNodes:
                if child.localName == name:
                    if child.childNodes:
                        return child.childNodes[0].data.strip()
                    else:
                        return ''
            return default

    class Record(object):
        pass

    class GraphPlotter(BasePlotter):
        def GetPlotList(self):
            return self.GetChildren(self.graph, 'plot')

        def GetDefaultRows(self):
            return self.plot_count

        def GetDefaultPlotSize(self):
            return 200 // self.cols, 600 // self.cols

        def GetPreamble(self):
            result = """set style fill solid
    set xdata time
    set timefmt "%Y-%m-%dT%H:%M:%S"
    """
            result += 'set xrange ["%s":"%s"]\n' % (
                self.x_lo.isoformat(), self.x_hi.isoformat())
            lmargin = eval(self.GetValue(self.graph, 'lmargin', '5'))
            result += 'set lmargin %g\n' % (lmargin)
            rmargin = eval(self.GetValue(self.graph, 'rmargin', '-1'))
            result += 'set rmargin %g\n' % (rmargin)
            if self.duration <= timedelta(hours=24):
                xformat = '%H%M'
            elif self.duration <= timedelta(days=7):
                xformat = '%a %d'
            else:
                xformat = '%Y/%m/%d'
            xformat = self.GetValue(self.graph, 'xformat', xformat)
            result += 'set format x "%s"\n' % xformat
            xtics = self.GetValue(self.graph, 'xtics', None)
            if xtics:
                result += 'set xtics %d\n' % (eval(xtics) * 3600)
            if sys.version_info[0] < 3:
                result = result.encode(self.encoding)
            return result

        def PlotData(self, plot_no, plot, source):
            _ = Localisation.translation.ugettext
            subplot_list = self.GetChildren(plot, 'subplot')
            subplot_count = len(subplot_list)
            if subplot_count < 1:
                return ''
            result = ''
            pressure_offset = self.pressure_offset
            # label x axis of last plot
            if plot_no == self.plot_count - 1:
                if self.duration <= timedelta(hours=24):
                    xlabel = _('Time (%Z)')
                elif self.duration <= timedelta(days=7):
                    xlabel = _('Day')
                else:
                    xlabel = _('Date')
                xlabel = self.GetValue(self.graph, 'xlabel', xlabel)
                if sys.version_info[0] < 3:
                    xlabel = xlabel.encode(self.encoding)
                result += 'set xlabel "%s"\n' % (
                    self.x_lo.replace(tzinfo=Local).strftime(xlabel))
                dateformat = '%Y/%m/%d'
                dateformat = self.GetValue(self.graph, 'dateformat', dateformat)
                if sys.version_info[0] < 3:
                    dateformat = dateformat.encode(self.encoding)
                ldat = self.x_lo.replace(tzinfo=Local).strftime(dateformat)
                rdat = self.x_hi.replace(tzinfo=Local).strftime(dateformat)
                if ldat != '':
                    result += 'set label "%s" at "%s", graph -0.3 left\n' % (
                        ldat, self.x_lo.isoformat())
                if rdat != ldat:
                    result += 'set label "%s" at "%s", graph -0.3 right\n' % (
                        rdat, self.x_hi.isoformat())
            # set bottom margin
            bmargin = eval(self.GetValue(plot, 'bmargin', '-1'))
            result += 'set bmargin %g\n' % (bmargin)
            # set y ranges and tics
            yrange = self.GetValue(plot, 'yrange', None)
            y2range = self.GetValue(plot, 'y2range', None)
            ytics = self.GetValue(plot, 'ytics', 'autofreq')
            y2tics = self.GetValue(plot, 'y2tics', '')
            if y2tics and not y2range:
                y2range = yrange
            elif y2range and not y2tics:
                y2tics = 'autofreq'
            if yrange:
                result += 'set yrange [%s]\n' % (yrange.replace(',', ':'))
            else:
                result += 'set yrange [*:*]\n'
            if y2range:
                result += 'set y2range [%s]\n' % (y2range.replace(',', ':'))
            if y2tics:
                result += 'set ytics nomirror %s; set y2tics %s\n' % (ytics, y2tics)
            else:
                result += 'unset y2tics; set ytics mirror %s\n' % (ytics)
            # set grid
            result += 'unset grid\n'
            grid = self.GetValue(plot, 'grid', None)
            if grid != None:
                result += 'set grid %s\n' % grid
            # x_lo & x_hi are in local time, data is indexed in UTC
            start = self.x_lo - self.utcoffset
            stop = self.x_hi - self.utcoffset
            cumu_start = start
            if source == self.raw_data:
                boxwidth = 240      # assume 5 minute data interval
                start = source.before(start)
            elif source == self.hourly_data:
                boxwidth = 2800
                start = source.before(start)
                interval = timedelta(minutes=90)
            elif source == self.monthly_data:
                boxwidth = 2800 * 24 * 30
                interval = timedelta(days=46)
            else:
                interval = timedelta(hours=36)
                boxwidth = 2800 * 24
            boxwidth = eval(self.GetValue(plot, 'boxwidth', str(boxwidth)))
            result += 'set boxwidth %d\n' % boxwidth
            command = self.GetValue(plot, 'command', None)
            if command:
                result += '%s\n' % command
            stop = source.after(stop)
            if stop:
                stop = stop + timedelta(minutes=1)
            # write data files
            subplots = []
            for subplot_no in range(subplot_count):
                subplot = Record()
                subplot.subplot = subplot_list[subplot_no]
                subplot.dat_file = os.path.join(self.work_dir, 'plot_%d_%d.dat' % (
                    plot_no, subplot_no))
                self.tmp_files.append(subplot.dat_file)
                subplot.dat = open(subplot.dat_file, 'w')
                subplot.xcalc = self.GetValue(subplot.subplot, 'xcalc', None)
                subplot.ycalc = self.GetValue(subplot.subplot, 'ycalc', None)
                subplot.cummulative = 'last_ycalc' in subplot.ycalc
                if subplot.xcalc:
                    subplot.xcalc = compile(subplot.xcalc, '<string>', 'eval')
                subplot.ycalc = compile(subplot.ycalc, '<string>', 'eval')
                subplot.last_ycalcs = 0.0
                subplot.last_idx = None
                subplots.append(subplot)
            for data in source[start:stop]:
                for subplot in subplots:
                    if subplot.xcalc:
                        idx = eval(subplot.xcalc)
                        if idx is None:
                            continue
                    else:
                        idx = data['idx']
                    idx += self.utcoffset
                    if not subplot.cummulative and subplot.last_idx:
                        if source == self.raw_data:
                            interval = timedelta(minutes=((data['delay']*3)+1)//2)
                        if idx - subplot.last_idx > interval:
                            # missing data
                            subplot.dat.write('%s ?\n' % (idx.isoformat()))
                    subplot.last_idx = idx
                    try:
                        if subplot.cummulative and data['idx'] <= cumu_start:
                            value = 0.0
                        else:
                            last_ycalc = subplot.last_ycalcs
                            value = eval(subplot.ycalc)
                        subplot.dat.write('%s %g\n' % (idx.isoformat(), value))
                        subplot.last_ycalcs = value
                    except TypeError:
                        if not subplot.cummulative:
                            subplot.dat.write('%s ?\n' % (idx.isoformat()))
                        subplot.last_ycalcs = 0.0
            for subplot in subplots:
                # ensure the data file isn't empty
                idx = self.x_hi + self.duration
                subplot.dat.write('%s ?\n' % (idx.isoformat()))
                subplot.dat.close()
            # plot data
            result += 'plot '
            colour = 0
            for subplot_no in range(subplot_count):
                subplot = subplots[subplot_no]
                colour = eval(self.GetValue(subplot.subplot, 'colour', str(colour+1)))
                style = self.GetValue(
                    subplot.subplot, 'style', 'smooth unique lc %d lw 1' % (colour))
                words = style.split()
                if len(words) > 1 and words[0] in ('+', 'x', 'line'):
                    width = int(words[1])
                else:
                    width = 1
                if style == 'box':
                    style = 'lc %d lw 0 with boxes' % (colour)
                elif words[0] == '+':
                    style = 'lc %d lw %d pt 1 with points' % (colour, width)
                elif words[0] == 'x':
                    style = 'lc %d lw %d pt 2 with points' % (colour, width)
                elif words[0] == 'line':
                    style = 'smooth unique lc %d lw %d' % (colour, width)
                axes = self.GetValue(subplot.subplot, 'axes', 'x1y1')
                title = self.GetValue(subplot.subplot, 'title', '')
                result += ' "%s" using 1:($2) axes %s title "%s" %s' % (
                    subplot.dat_file, axes, title, style)
                if subplot_no != subplot_count - 1:
                    result += ', \\'
                result += '\n'
            if sys.version_info[0] < 3:
                result = result.encode(self.encoding)
            return result

    def main(argv=None):
        if argv is None:
            argv = sys.argv
        try:
            opts, args = getopt.getopt(argv[1:], "h", ['help'])
        except getopt.error, msg:
            print >>sys.stderr, 'Error: %s\n' % msg
            print >>sys.stderr, __usage__.strip()
            return 1
        # process options
        for o, a in opts:
            if o == '-h' or o == '--help':
                print __usage__.strip()
                return 0
        # check arguments
        if len(args) != 4:
            print >>sys.stderr, 'Error: 4 arguments required\n'
            print >>sys.stderr, __usage__.strip()
            return 2
        logger = ApplicationLogger(1)
        params = DataStore.params(args[0])
        status = DataStore.status(args[0])
        Localisation.SetApplicationLanguage(params)
        return GraphPlotter(
            params, status,
            DataStore.calib_store(args[0]), DataStore.hourly_store(args[0]),
            DataStore.daily_store(args[0]), DataStore.monthly_store(args[0]),
            args[1]
            ).DoPlot(args[2], args[3])

    if __name__ == "__main__":
        sys.exit(main())

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