#!/usr/bin/python
from pychartdir import *
import cgi, sys
# Get HTTP query parameters
query = cgi.FieldStorage()
#
# In this demo, the generated web page needs to load the "cdjcv.js" Javascript file and several GIF
# files. For ease of installation, we put these files in the same directory as this script. However,
# if this script is installed in a CGI only directory (such as cgi-bin), the web server would not
# allow the browser to access these non-CGI files.
#
# To get around this potential issue, a special load resource script is used to load these files.
# Instead of using:
#
# <SCRIPT SRC="cdjcv.js">
#
# we now use:
#
# <SCRIPT SRC="loadresource.py?file=cdjcv.js">
#
# Similar methods are used to load the GIF files.
#
# If this script is not in a CGI only directory, you may replace the following loadResource string
# with an empty string "" to improve performance.
#
loadResource = "loadresource.py?file="
#
# Initialize the WebChartViewer when the page is first loaded
#
def initViewer(viewer) :
#
# This example assumes the initial chart is the full chart and we can auto-detect the full data
# range in the drawChart code. So we do not need to configure the full range here.
#
pass
#
# Draw the main chart
#
def drawChart(viewer) :
#
# For simplicity, in this demo, the data arrays are filled with hard coded data. In a real
# application, you may use a database or other data source to load up the arrays, and only
# visible data (data within the view port) need to be loaded.
#
dataX0 = [10, 15, 6, -12, 14, -8, 13, -3, 16, 12, 10.5, -7, 3, -10, -5, 2, 5]
dataY0 = [130, 150, 80, 110, -110, -105, -130, -15, -170, 125, 125, 60, 25, 150, 150, 15, 120]
dataX1 = [6, 7, -4, 3.5, 7, 8, -9, -10, -12, 11, 8, -3, -2, 8, 4, -15, 15]
dataY1 = [65, -40, -40, 45, -70, -80, 80, 10, -100, 105, 60, 50, 20, 170, -25, 50, 75]
dataX2 = [-10, -12, 11, 8, 6, 12, -4, 3.5, 7, 8, -9, 3, -13, 16, -7.5, -10, -15]
dataY2 = [65, -80, -40, 45, -70, -80, 80, 90, -100, 105, 60, -75, -150, -40, 120, -50, -30]
# Create an XYChart object 500 x 480 pixels in size, with light blue (c0c0ff) background
c = XYChart(500, 480, 0xc0c0ff)
# Set the plotarea at (50, 40) and of size 400 x 400 pixels. Use light grey (c0c0c0) horizontal
# and vertical grid lines. Set 4 quadrant coloring, where the colors alternate between lighter
# and deeper grey (dddddd/eeeeee).
c.setPlotArea(50, 40, 400, 400, -1, -1, -1, 0xc0c0c0, 0xc0c0c0).set4QBgColor(0xdddddd, 0xeeeeee,
0xdddddd, 0xeeeeee, 0x000000)
# As the data can lie outside the plotarea in a zoomed chart, we need enable clipping
c.setClipping()
# Set 4 quadrant mode, with both x and y axes symetrical around the origin
c.setAxisAtOrigin(XYAxisAtOrigin, XAxisSymmetric + YAxisSymmetric)
# Add a legend box at (450, 40) (top right corner of the chart) with vertical layout and 8pt
# Arial Bold font. Set the background color to semi-transparent grey (40dddddd).
legendBox = c.addLegend(450, 40, 1, "arialbd.ttf", 8)
legendBox.setAlignment(TopRight)
legendBox.setBackground(0x40dddddd)
# Add titles to axes
c.xAxis().setTitle("Alpha Index")
c.yAxis().setTitle("Beta Index")
# Set axes line width to 2 pixels
c.xAxis().setWidth(2)
c.yAxis().setWidth(2)
# The default ChartDirector settings has a denser y-axis grid spacing and less-dense x-axis grid
# spacing. In this demo, we want the tick spacing to be symmetrical. We use around 40 pixels
# between major ticks and 20 pixels between minor ticks.
c.xAxis().setTickDensity(40, 20)
c.yAxis().setTickDensity(40, 20)
#
# In this example, we represent the data by scatter points. You may modify the code below to use
# other layer types (lines, areas, etc).
#
# Add scatter layer, using 11 pixels red (ff33333) X shape symbols
c.addScatterLayer(dataX0, dataY0, "Group A", Cross2Shape(), 11, 0xff3333)
# Add scatter layer, using 11 pixels green (33ff33) circle symbols
c.addScatterLayer(dataX1, dataY1, "Group B", CircleShape, 11, 0x33ff33)
# Add scatter layer, using 11 pixels blue (3333ff) triangle symbols
c.addScatterLayer(dataX2, dataY2, "Group C", TriangleSymbol, 11, 0x3333ff)
#
# In this example, we have not explicitly configured the full x and y range. In this case, the
# first time syncLinearAxisWithViewPort is called, ChartDirector will auto-scale the axis and
# assume the resulting range is the full range. In subsequent calls, ChartDirector will set the
# axis range based on the view port and the full range.
#
viewer.syncLinearAxisWithViewPort("x", c.xAxis())
viewer.syncLinearAxisWithViewPort("y", c.yAxis())
# Output the chart
chartQuery = c.makeTmpFile("/tmp/tmpcharts")
# Include tool tip for the chart
imageMap = c.getHTMLImageMap("", "", "title='[{dataSetName}] Alpha = {x|G}, Beta = {value|G}'")
# Set the chart URL, image map and chart metrics to the viewer
viewer.setImageUrl("getchart.py?img=/tmp/tmpcharts/" + chartQuery)
viewer.setImageMap(imageMap)
viewer.setChartMetrics(c.getChartMetrics())
#
# Draw the thumbnail chart in the WebViewPortControl
#
def drawFullChart(vp, viewer) :
#
# For simplicity, in this demo, the data arrays are filled with hard coded data. In a real
# application, you may use a database or other data source to load up the arrays. As this is a
# small thumbnail chart, complete data may not be needed. For exmaple, if there are a million
# points, a random sample may already be sufficient for the thumbnail chart.
#
dataX0 = [10, 15, 6, -12, 14, -8, 13, -3, 16, 12, 10.5, -7, 3, -10, -5, 2, 5]
dataY0 = [130, 150, 80, 110, -110, -105, -130, -15, -170, 125, 125, 60, 25, 150, 150, 15, 120]
dataX1 = [6, 7, -4, 3.5, 7, 8, -9, -10, -12, 11, 8, -3, -2, 8, 4, -15, 15]
dataY1 = [65, -40, -40, 45, -70, -80, 80, 10, -100, 105, 60, 50, 20, 170, -25, 50, 75]
dataX2 = [-10, -12, 11, 8, 6, 12, -4, 3.5, 7, 8, -9, 3, -13, 16, -7.5, -10, -15]
dataY2 = [65, -80, -40, 45, -70, -80, 80, 90, -100, 105, 60, -75, -150, -40, 120, -50, -30]
# Create an XYChart object 120 x 120 pixels in size
c = XYChart(120, 120)
# Set the plotarea to cover the entire chart and with no grid lines. Set 4 quadrant coloring,
# where the colors alternate between lighter and deeper grey (d8d8d8/eeeeee).
c.setPlotArea(0, 0, c.getWidth() - 1, c.getHeight() - 1, -1, -1, -1, Transparent).set4QBgColor(
0xd8d8d8, 0xeeeeee, 0xd8d8d8, 0xeeeeee, 0x000000)
# Set 4 quadrant mode, with both x and y axes symetrical around the origin
c.setAxisAtOrigin(XYAxisAtOrigin, XAxisSymmetric + YAxisSymmetric)
# The x and y axis scales reflect the full range of the view port
c.xAxis().setLinearScale(viewer.getValueAtViewPort("x", 0), viewer.getValueAtViewPort("x", 1),
NoValue)
c.yAxis().setLinearScale(viewer.getValueAtViewPort("y", 0), viewer.getValueAtViewPort("y", 1),
NoValue)
# Add scatter layer, using 5 pixels red (ff33333) X shape symbols
c.addScatterLayer(dataX0, dataY0, "Group A", Cross2Shape(), 5, 0xff3333)
# Add scatter layer, using 5 pixels green (33ff33) circle symbols
c.addScatterLayer(dataX1, dataY1, "Group B", CircleShape, 5, 0x33ff33)
# Add scatter layer, using 5 pixels blue (3333ff) triangle symbols
c.addScatterLayer(dataX2, dataY2, "Group C", TriangleSymbol, 5, 0x3333ff)
# Output the chart
chartQuery = c.makeTmpFile("/tmp/tmpcharts")
# Set the chart URL and chart metrics to the viewport control
vp.setImageUrl("getchart.py?img=/tmp/tmpcharts/" + chartQuery)
vp.setChartMetrics(c.getChartMetrics())
#
# This script handles both the full page request, as well as the subsequent partial updates (AJAX
# chart updates). We need to determine the type of request first before we processing it.
#
# Create the WebChartViewer object
viewer = WebChartViewer(query, "chart1")
if viewer.isPartialUpdateRequest() :
# Is a partial update request. Draw the chart and perform a partial response.
drawChart(viewer)
binaryPrint(viewer.partialUpdateChart())
sys.exit()
#
# If the code reaches here, it is a full page request.
#
# Initialize the WebChartViewer and draw the chart.
initViewer(viewer)
drawChart(viewer)
# Draw a thumbnail chart representing the full range in the WebViewPortControl
viewPortCtrl = WebViewPortControl("fullchart1")
drawFullChart(viewPortCtrl, viewer)
print("Content-type: text/html\n")
print("""
<!DOCTYPE html>
<html>
<head>
<title>XY Zooming and Scrolling</title>
<script type="text/javascript" src="%(loadResource)scdjcv.js"></script>
<style type="text/css">
.chartButton { font:12px Verdana; border-bottom:#000000 1px solid; padding:5px; cursor:pointer;}
.chartButtonSpacer { font:12px Verdana; border-bottom:#000000 1px solid; padding:5px;}
.chartButton:hover { box-shadow:inset 0px 0px 0px 2px #444488; }
.chartButtonPressed { background-color: #CCFFCC; }
</style>
</head>
<body style="margin:0px">
<script type="text/javascript">
//
// Execute the following initialization code after the web page is loaded
//
JsChartViewer.addEventListener(window, 'load', function() {
// Update the chart when the view port has changed (eg. when the user zooms in using the mouse)
var viewer = JsChartViewer.get('%(id)s');
viewer.attachHandler("ViewPortChanged", viewer.partialUpdate);
// Set the zoom and scroll mode to bi-directional
viewer.setScrollDirection(JsChartViewer.HorizontalVertical);
viewer.setZoomDirection(JsChartViewer.HorizontalVertical);
// Set the initial mouse usage to "zoom in"
setMouseMode(JsChartViewer.ZoomIn);
// Initialize the view port control
var viewPortCtrl = JsViewPortControl.get('%(viewPortCtrl.getId())s');
// Set the mask color to semi-transparent black
viewPortCtrl.setViewPortExternalColor("#80000000");
// Set the selection rectangle border to white
viewPortCtrl.setSelectionBorderStyle("1px solid white");
// Bind the view port control to the chart viewer
viewPortCtrl.setViewer(viewer);
});
//
// This method is called when the user clicks on the Pointer, Zoom In or Zoom Out buttons
//
function setMouseMode(mode)
{
var viewer = JsChartViewer.get('%(id)s');
if (mode == viewer.getMouseUsage())
mode = JsChartViewer.Default;
// Set the button color based on the selected mouse mode
document.getElementById("scrollButton").className = "chartButton" +
((mode == JsChartViewer.Scroll) ? " chartButtonPressed" : "");
document.getElementById("zoomInButton").className = "chartButton" +
((mode == JsChartViewer.ZoomIn) ? " chartButtonPressed" : "");
document.getElementById("zoomOutButton").className = "chartButton" +
((mode == JsChartViewer.ZoomOut) ? " chartButtonPressed" : "");
// Set the mouse mode
viewer.setMouseUsage(mode);
}
</script>
<form method="post">
<table cellspacing="0" cellpadding="0" style="border:black 1px solid;">
<tr>
<td align="right" colspan="2" style="background:#000088; color:#ffff00; padding:0px 4px 2px 0px;">
<a style="color:#FFFF00; font:italic bold 10pt Arial; text-decoration:none" href="http://www.advsofteng.com/">
Advanced Software Engineering
</a>
</td>
</tr>
<tr valign="top">
<td style="width:130px; background:#e0e0e0;">
<!-- The following table is to create 3 cells for 3 buttons to control the mouse usage mode. -->
<table cellspacing="0" cellpadding="0" width="100%%" border="0">
<tr>
<td class="chartButton" id="scrollButton" onclick="setMouseMode(JsChartViewer.Scroll)"
ontouchstart="this.onclick(event); event.preventDefault();">
<img src="%(loadResource)sscrollnesw.gif" style="vertical-align:middle" alt="Drag" /> Drag to Scroll
</td>
</tr>
<tr>
<td class="chartButton" id="zoomInButton" onclick="setMouseMode(JsChartViewer.ZoomIn)"
ontouchstart="this.onclick(event); event.preventDefault();">
<img src="%(loadResource)szoomInIcon.gif" style="vertical-align:middle" alt="Zoom In" /> Zoom In
</td>
</tr>
<tr>
<td class="chartButton" id="zoomOutButton" onclick="setMouseMode(JsChartViewer.ZoomOut)"
ontouchstart="this.onclick(event); event.preventDefault();">
<img src="%(loadResource)szoomOutIcon.gif" style="vertical-align:middle" alt="Zoom Out" /> Zoom Out
</td>
</tr>
</table>
<br /><br /><br /><br /><br />
<div style="text-align:center;">
<!-- ****** Here is the view port control ****** -->
%(viewPortCtrl.renderHTML())s
</div>
</td>
<td style="border-left: black 1px solid; background-color: #c0c0ff; padding:5px">
<!-- ****** Here is the chart image ****** -->
%(chartImg)s
</td>
</tr>
</table>
</form>
</body>
</html>
""" % {
"loadResource" : loadResource,
"id" : viewer.getId(),
"viewPortCtrl.getId()" : viewPortCtrl.getId(),
"viewPortCtrl.renderHTML()" : viewPortCtrl.renderHTML(),
"chartImg" : viewer.renderHTML()
}) |