python-htmlgen 2.2.2-12.1ubuntu1 / usr / lib / python2.7 / dist-packages / HTMLgen / barchart.py

"""Provides BarChart class which creates HTML 1D bar charts,
and StackedBarChart class to deal with multiple data plotting
for web pages. Only works for positive data values.
Also provides a DataList class to support the data handling needed.
"""
__version__ = '$Id: barchart.py,v 2.1 1999/03/17 03:13:39 friedric Exp $'
__author__ = 'Robin Friedrich'
__date__ = 'June 30, 1997'
# barchart.py
# COPYRIGHT (C) 1997  ROBIN FRIEDRICH  email:Robin.Friedrich@pdq.net
# Permission to  use, copy, modify, and distribute this software and its
# documentation  for  any  purpose  and  without fee  is hereby granted,
# provided that the above copyright notice appear in all copies and that
# both that copyright notice and this permission notice appear in
# supporting documentation.
# THE  AUTHOR  DISCLAIMS  ALL  WARRANTIES WITH  REGARD TO THIS SOFTWARE,
# INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO
# EVENT  SHALL THE  AUTHOR  BE  LIABLE  FOR  ANY  SPECIAL,   INDIRECT OR
# CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF
# USE, DATA OR PROFITS,  WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
# OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
# PERFORMANCE OF THIS SOFTWARE.

import string
import UserList
from types import IntType, FloatType
from HTMLgen import SimpleDocument, Image, Font, TD, TR, TableLite, Caption, Bold, Pre
from HTMLcolors import *

# set these paths to valid URLs corresponding to where you placed the gifs
barfiles = {  'blue' : '../image/bar-blue.gif',
               'red' : '../image/bar-red.gif',
             'green' : '../image/bar-green.gif',
            'orange' : '../image/bar-orange.gif',
            'yellow' : '../image/bar-yellow.gif',
            'purple' : '../image/bar-purple.gif'  }


class BarChart:
    """Class which takes a DataList object and creates
    the HTML to represent a color coded bar chart.

    Values to be charted are limited to non-negative values.
    """
    title = ''
    zero = 0
    label_shade = WHITE
    value_shade = CADETBLUE
    bar_shade = GRAY2
    max_width = 400
    
    def __init__(self, datalist=None):
        "datalist is an instance of class DataList"
        if datalist is None:
            self.datalist = DataList()
        else:
            self.datalist = datalist
        self.initialize()

    def initialize(self):
        """Initialize the chart properties.

        This method is overloaded by child classes.
        """
        self.table = TableLite(cellpadding=3, cellspacing=0)
        self.barfiles = barfiles
        # color keys for low, norm and hi indications
        self.barcolors = ('yellow', 'blue', 'red')
        # numeric values which determine the boundaries between color ranges
        self.thresholds = (0, 1E+09)
        # 
        self.bound_zero = "no"

    def normalize(self):
        """Scale data to values between 0 and 400.

        Determine peak value and set scale accordingly.  If the values
        are clustered within 30% of each other, will shift the zero
        point for the barchart up to exagerate the value differences.
        To inhibit this, set the .bound_zero attribute to "yes".
        """
        
        self.datalist.sum_totals()
        self.average = self.datalist.mean('total')
        
        # Compute max and min
        low, hi = self.datalist.min('total'), self.datalist.max('total')
        # if data is clustered together rescale by shifting zero point
        if hi < (1.3 * low) and self.bound_zero != "yes" and self.zero == 0:
            self.zero = low * 0.8
            s = '%9.2e' % self.zero  # hack to round to a natural value
            x = string.atoi(s[-3:])
            self.zero = round(self.zero, -x)
        self.scale = float(hi - self.zero) / self.max_width
        
    def __str__(self):
        """Generate HTML for the entire table and caption.
        """
        self.normalize() #calculate the scaling of the data
        self.table.prepend(Caption(Bold(self.title))) #add title as caption
        for item in self.datalist:
            row = TR()
            # 1st cell is the text description
            row.append(TD(item['label'], align='left', width=70,
                          bgcolor = self.label_shade))
            # 2nd cell is the decimal sum value
            row.append(TD("%9.1f"%item['total'], align='right',
                          width=70, bgcolor=self.value_shade))
            # 3rd cell contains the scaled bar graphic
            row.append(self.make_bar_cell(item))
            self.table.append(row) # add the row to the table
        # now tack on a legend at the bottom
        self.table.append(TR( TD('AVERAGE', align='left', width=70,
                                 bgcolor = self.label_shade),
                              TD("%9.1f" % self.average, align='right',
                                 width=70, bgcolor=self.value_shade), 
                              TD(self.gen_legend(),
                                 bgcolor=self.label_shade,
                                 html_escape="OFF")))
        return str(self.table)

    def make_bar_cell(self, dict):
        """return a TD object containing the scaled bar
        """
        cell = TD(bgcolor=self.bar_shade, html_escape="OFF")
        cell.append(self.gen_bar(dict['value'],
                                 self.color_code(dict['value'])))
        return cell
    
    def color_code(self, value):
        """return a color string based on whether the given datum
        falls beyond thresholds. Works off self.thresholds=(low,hi).
        """
        low, hi = self.thresholds
        if value > hi:
            return self.barcolors[2] #'red'
        elif value < low:
            return self.barcolors[0] #'yellow'
        else:
            return self.barcolors[1] #'blue'
        
    def pixels(self, magnitude):
        """returns the integer number of pixels to represent a given magnitude.
        """
        return int( (magnitude - self.zero) / self.scale )
    
    def gen_bar(self, value, color='blue'):
        """return Image object for the scaled bar graphic
        """
        if value <= 0:
            return ""
        else:
            bar = Image(self.barfiles[color], 
                    width=self.pixels(value), height=13, alt=value)
        return bar

    def gen_legend(self):
        """Return an HTML string which displays the legend for the chart.
        """
        sample = Image(self.barfiles['blue'], height=13, width=40)
        return '<b>^%7.1f</b> lower bound<br> SCALE: %s = %7.1f units' % \
          (self.zero, sample, self.scale * 40)


class StackedBarChart(BarChart):
    """Represent up to six data values in a stacked barchart.
    """
    def initialize(self):
        """Define StackedBarChart specific attributes.
        """
        self.table = TableLite(cellpadding=3, cellspacing=0)
        self.barfiles = barfiles
        self.colors = ('blue','red','yellow','purple','orange','green')
        self.bound_zero = "yes"
        
    def make_bar_cell(self, dict):
        """return a TD object containing the scaled bar
        """
        cell = TD(bgcolor=self.bar_shade, html_escape="OFF")
        values = []
        for name in self.datalist.segment_names:
            values.append(dict[name])
        cell.append(self.gen_bar(values, self.colors))
        return cell
            
    def gen_bar(self, values, colors):
        """return HTML string for the stacked bar graphic.
        """
        bar = ''
        if len(values) > len(colors): raise ValueError
        for i in range(len(values)):
            bar = bar + self.segment(values[i], colors[i])
        return bar
    
    def segment(self, value, color='blue'):
        """return HTML string for a bar segment given a magnitude and color.
        """
        if value <= 0:
            return ""
        else:
            return str(Image(self.barfiles[color], 
                         width=self.pixels(value),
                         height=13, alt=value) )

    def gen_legend(self):
        """Return an HTML string which displays the legend for the chart.
        """
        s = []
        for i in range(len(self.datalist.segment_names)):
            s.append(str(Image(self.barfiles[self.colors[i]],
                           height=13, width=30)))
            s.append(str(Font(self.datalist.segment_names[i], size= -1)))
            s.append("&nbsp;&nbsp;")
        return string.join(s, ' ')


class DataList(UserList.UserList):
    """Class supporting tabular storage and access of data.

    Used by BarChart classes. Takes a list of sequences and loads
    them into a list of dictionaries using the first item from the
    sequence as a label key. The column names are from the
    *segment_names* attribute and *must be set* prior to loading
    multidimensional data. 

    Supports some simple data processing methods.
    """
    segment_names = ('value',) # set to tuple of column names

    def __init__(self, list = None):
        self.data = []
        if list is not None:
            self.load_tuples(list)
            
    def load_tuple(self, t):
        """Load individual record of data into new dictionary.

        Use first item in given sequence as label key and assigns
        remaining items with keys from *segment_names* in order.
        """
        d = {'label': t[0]}
        for i in range(len(self.segment_names)):
            if type(t[i+1]) in (IntType, FloatType):
                d[self.segment_names[i]] = t[i+1]
            else:
                d[self.segment_names[i]] = 0
                print '%s value %s invalid; was set to zero' % (t[0], t[i+1])
        self.append(d)

    def load_tuples(self, tt):
        """Load each item from the given sequence of sequences.
        """
        for t in tt:
            self.load_tuple(t)

    def __str__(self):
        """Return tabular string representation of internal data.
        """
        s = []
        ncols = len(self.segment_names)
        heading = '\n     Label' + '%11s'*ncols
        s.append(heading % self.segment_names)
        body = ['%(label)10s']
        for name in self.segment_names:
            body.append('%(' + '%s)10g' % name)
        body = string.join(body)
        for datum in self.data:
            s.append(body % datum)
        s.append('\n')
        return string.join(s, '\n')

    def add_column(self, name, pairs):
        """Take list of (label,value) pairs and add the data as a
        new column named *name*.
        """
        self.segment_names = self.segment_names + (name,)
        for label, value in pairs:
            try:
                self.data[self.index(label)][name] = value
            except TypeError:
                print '%s not found' % label

    def index(self, label):
        """return dictionary corresponding to *label* string.
        """
        try:
            return self._labelcache[label]
        except AttributeError:
            self.cache_labels()
            return self.index(label)
        except KeyError:
            return None

    def cache_labels(self):
        """Create cache of indexes corresponding to the labels
        to speed calles to index method.
        """
        if not hasattr(self, '_labelcache'):
            self._labelcache = {}
        for i in range(len(self.data)):
            self._labelcache[self.data[i]['label']] = i
         
    def max(self, key='value'):
        """return maximum value in column key
        """
        hi = 0
        for datum in self.data:
            if datum[key] > hi: hi = datum[key]
        return hi

    def min(self, key='value'):
        """return minimum value in column key
        """
        low = self.data[0][key]
        for datum in self.data:
            if datum[key] < low: low = datum[key]
        return low

    def sum(self, key='value'):
        """return sum of values in column key
        """
        sum = 0
        for datum in self.data:
            sum = sum + datum[key]
        return sum

    def mean(self, key='value'):
        """return mean (average) of values in column key
        """
        if len(self) > 0:
            return self.sum(key) / len(self)
        else:
            return 0.0
    
    def sum_totals(self):
        """add new key 'total' to each dictionary
        """
        for datum in self.data:
            sum = 0
            for name in self.segment_names:
                sum = sum + datum[name]
            datum['total'] = sum
    
    def sort(self, key='label', direction='increasing'):
        """Sort list according to key in direction.

        Example: DLobject.sort('height', 'decreasing')
        """
        self._sortkey = key
        if direction[0] == 'i':
            self.data.sort(self.increasing)
        else:
            self.data.sort(self.decreasing)
        # index cache is now invalid and will be regenerated 
        self.cache_labels()
        
    def increasing(self, a, b):
        return cmp(a[self._sortkey], b[self._sortkey])

    def decreasing(self, a, b):
        return cmp(b[self._sortkey], a[self._sortkey])



def simple_test():
    from time import time
    print "running barchart test routine" 
    dum = [ ('fddo4', 1318), ('cn1', 1472), ('cn2', 1411),
            ('fddo3', 1280), ('asc8', 1371), ('orb3', 1390),
            ('fddo1', 1418), ('asc4', 1292), ('dn2', 1381),
            ('fddo2', 1341), ('asc1', 1352), ('dn1', 1441)
            ]
    t0 = time()
    doc = SimpleDocument(title='Bar Chart', bgcolor=GREY1)
    dummydata = DataList()
    dummydata.load_tuples(dum)
    dummydata.sort()
    b = BarChart(dummydata)
    b.thresholds = (1300, 1400)
    b.title = "System Throughput (jobs/week)"
    doc.append(b)
    doc.append(Pre(str(dummydata)))
    doc.write('./html/bar.html')
    print "took", time() - t0, 'sec.'

def stacked_test():
    from time import time
    print "running stacked barchart test routine" 
    dum = [ ('fddo4', 1318, 456, 235, 290),
            ('fddo3', 1280, 560, 129, 295), 
            ('fddo1', 1418, 1201, 490, 125),
            ('fddo2', 1341, 810, 466, 203)
            ]
    t0 = time()
    doc = SimpleDocument(title='Stacked Bar Chart', bgcolor=GREY1)
    dummydata = DataList()
    dummydata.segment_names = ('User','System','I/O','Wait')
    dummydata.load_tuples(dum)
    dummydata.sort()
    b = StackedBarChart(dummydata)
    b.title = "System Load"
    doc.append(b)
    doc.append(Pre(str(dummydata)))
    doc.write('./html/stackedbar.html')
    print "took", time() - t0, 'sec.'

def test():
    import profile, pstats
    #profile.run("simple_test()")
    profile.run('stacked_test()', 'barchart.prof')
    p = pstats.Stats('barchart.prof')
    p.sort_stats('cumulative').print_stats(20)
    #p.sort_stats('time').print_stats(20)
    #simple_test()
    #stacked_test()


if __name__ == '__main__': test()