'''
	Copyright 2005 Gary Perez
	http://neurobashing.com/monkey/

	Version: 0.1 December 8, 2005

    Original CSS code for the sparklines from "marciusmr" at:
    http://datawisualizing.blogspot.com/
'''

def makePlus(x, y, divid):
    lines = []
    for combo in ((x, y), (x, y-1), (x, y+1), (x-1, y), (x+1, y)):
        lines.append('<div id="%s" style="left: %spx; top: %spx;"></div>' % (divid, combo[0], combo[-1]))
    return lines

def makeSparkline(datalist):
    # Assume datalist is a list of values (ints or floats) in
    # chronological order.
    max_value = max(datalist)
    min_value = min(datalist)
    # Create a working copy of the data list.
    working = datalist[:]
    # Find latest occurrence of max & min values as indices of
    # original data list.
    working.reverse()
    max_value_index = len(working) - working.index(max(working)) - 1
    min_value_index = len(working) - working.index(min(working)) - 1
    # Reduce the range of data to a range of zero to ten.
    # This will be used later to obtain the sparkline dot height.
    data_range = max_value - min_value
    divider = data_range/10.0

    x, htmllines = 1, []
    for num in datalist:
        x_value = x
        # Higher values get lower 'top' args & vice versa
        y_value = int(abs(10.0-round((num-min_value) / divider)))
        if x-1 == max_value_index:
            htmllines += makePlus(x_value, y_value, 'max')
        elif x-1 == min_value_index:
            htmllines += makePlus(x_value, y_value, 'min')
        else:
            if x == len(datalist):
                htmllines += makePlus(x_value, y_value, 'current')
            else:
                # Standard points
                this_point = '<div id="point" style="left: %spx; top: %spx;"></div>' % (x_value, y_value)
                htmllines.append(this_point)
        x += 1
    head = '<div id="graph" style="height: 10px; width: %spx;">' % (x+5)
    htmllines.insert(0, head)
    # Find the height of the average line
    avg_value = sum(datalist) / len(datalist)
    avg_line_height = abs(10 - int(round((avg_value - min_value) / divider)))
    avg = '<div id="average" style="top: %spx; height: 1px; width: %spx;"></div>' % (avg_line_height, x)
    htmllines.insert(1, avg)
    htmllines.append('</div>')
    return htmllines