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html_helper.py
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html_helper.py
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import urllib
import datetime
from datetime import timedelta
class HTMLHelper:
#start __init__
def __init__(self):
self.html = ''
self.currDate = datetime.datetime.now()
self.weekDates = []
#self.weekDates.append(self.currDate.strftime("%Y-%m-%d"))
self.weekDates.append(self.currDate.strftime("%b %d"))
for i in range(1,7):
dateDiff = timedelta(days=-i)
newDate = self.currDate + dateDiff
#self.weekDates.append(newDate.strftime("%Y-%m-%d"))
self.weekDates.append(newDate.strftime("%b %d"))
#end
#start getDefaultHTML
def getDefaultHTML(self, error = 0):
html = '''
<html>
<head><title>Polarity Classification</title>
<link rel="stylesheet" type="text/css" href="http://yui.yahooapis.com/3.4.1/build/cssgrids/grids-min.css" />
<link rel="stylesheet" type="text/css" href="static/styles.css" />
</head>
<body style="background-color:#d0e4fe;">
<div class="yui3-g" id="doc">
<div class="yui3-u" id="hd">
<h2> Polarity Classification Using Twitter Data </h2>
</div>
<div class="yui3-u" id="bd">
<form name="keyform" id="key-form" method="get" onSubmit="return checkEmpty(this);">
<p><input type="text" value="" name="keyword" id="keyword"/><input type="submit" value="Submit" id="sub"/></p>
<div id="timeframe">
<input type="radio" name="time" id="today" value="today" checked="true">Today</input>
<input type="radio" name="time" id="lastweek" value="lastweek">Last 7 days</input>
</div>
<div id="choice">
<input type="radio" name="method" id="naivebayes" value="naivebayes">Naive Bayes</input>
<input type="radio" name="method" id="maxentropy" value="maxentropy">Maximum Entropy</input>
<input type="radio" name="method" id="svm" value="svm">Support Vector Machine</input>
</div>
</form>
'''
if(error == 1):
html += '<div id="error">Unable to fetch TWitter API data. Please try again later.</div>'
elif(error == 2):
html += '<div id="error">Unrecognized Method of Classfication, please choose one from above.</div>'
html += '''
</div>
<script type="text/javascript">
function checkEmpty(f) {
if (f.keyword.value === "") {
alert('Please enter a valid keyword');
return false;
}else{
f.submit();
return true;
}
}
var _gaq = _gaq || [];
_gaq.push(['_setAccount', 'UA-31119754-1']);
_gaq.push(['_trackPageview']);
(function() {
var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
})();
</script>
</body>
</html>
'''
return html
#end
#start getResultHTML
def getResultHTML(self, keyword, results, time, pos_count, neg_count, neut_count, checked):
keyword = urllib.unquote(keyword.replace("+", " "))
html = '''
<html>
<head><title>Polarity Classification Using Semantic Analysis</title>
<link rel="stylesheet" type="text/css" href="http://yui.yahooapis.com/3.4.1/build/cssgrids/grids-min.css" />
<link rel="stylesheet" type="text/css" href="static/styles.css" />
</head>
<body>
<div class="yui3-g" id="doc">
<div class="yui3-u" id="hd">
<h2> Polarity Classification Using Twitter Data</h2>
</div>
<div class="yui3-u" id="bd">
<form name="keyform" id="key-form" method="get" onSubmit="return checkEmpty(this);">
<p><input type="text" value="" name="keyword" id="keyword"/><input type="submit" value="Search" id="sub"/></p>
<div id="timeframe">
<input type="radio" name="time" id="today" value="today" checked="true">Today</input>
<input type="radio" name="time" id="lastweek" value="lastweek">Last 7 days</input>
</div>
<div id="choice">
<input type="radio" name="method" id="naivebayes" value="naivebayes">Naive Bayes</input>
<input type="radio" name="method" id="maxentropy" value="maxentropy">Maximum Entropy</input>
<input type="radio" name="method" id="svm" value="svm">Support Vector Machine</input>
</div>
</form>
<div id="results">
'''
if(time == 'today'):
html += '<div id="result-chart"></div>'
elif(time == 'lastweek'):
html += '<div id="result-big-chart"></div>'
html += '<div id="content">'
left = '<div id="left"><h3>Positive</h3><ul>'
right = '<div id="right"><h3>Negative</h3><ul>'
middle = '<div id="middle"><h3>Neutral</h3><ul>'
for i in results:
res= results[i]
for j in res:
item = res[j]
if(item['label'] == 'positive'):
left += '<li title="'+self.weekDates[i]+'">' + item['tweet'] + '</li>'
elif(item['label'] == 'neutral'):
middle+= '<li title="'+self.weekDates[i]+'">' + item['tweet'] + '</li>'
elif(item['label'] == 'negative'):
right += '<li title="'+self.weekDates[i]+'">' + item['tweet'] + '</li>'
#end innerloop
#end outerloop
left += '</ul></div>'
right += '</ul></div>'
middle += '</ul></div>'
html += left + middle + right + '</div>'
if(time == 'today'):
html += '''
</div>
</div>
<script type="text/javascript" src="https://www.google.com/jsapi"></script>
<script type="text/javascript">
google.load("visualization", "1", {packages:["corechart"]});
google.setOnLoadCallback(drawChart);
function drawChart() {
var data = google.visualization.arrayToDataTable([
'''
html += "['Sentiment', 'Count'],"
html += "['Positive', "+ str(pos_count[0]) + "],"
html += "['Neutral', "+ str(neut_count[0]) + "],"
html += "['Negative', "+ str(neg_count[0]) + "]"
html += '''
]);
var options = {
'title': 'Polarity Classification',
'titleTextStyle': {'fontSize': 15},
'hAxis': {'textStyle': {'fontSize': 15}},
'vAxis': {'textStyle': {'fontSize': 15}},
'legend' : {'position' : 'none'}
};
var chart = new google.visualization.ColumnChart(document.getElementById('result-chart'));
chart.draw(data, options);
}
'''
elif(time == 'lastweek'):
html += '''
</div>
</div>
<script type="text/javascript" src="https://www.google.com/jsapi"></script>
<script type="text/javascript">
google.load("visualization", "1", {packages:["corechart"]});
google.setOnLoadCallback(drawChart);
function drawChart() {
var data = google.visualization.arrayToDataTable([
'''
html += "['Date', 'Positive', 'Neutral', 'Negative'],"
l = len(pos_count)
for i in range(l-1, 0, -1):
html += "['"+ self.weekDates[i] + "', "+ str(pos_count[i]) + "," \
+ str(neut_count[i]) + "," + str(neg_count[i]) + "],"
#last one
html += "['"+ self.weekDates[0] + "', "+ str(pos_count[0]) + "," \
+ str(neut_count[0]) + "," + str(neg_count[0]) + "]"
html += '''
]);
var options = {
'title': 'Polarity Classification',
'colors': ['#04B404', '#6E6E6E', '#FF0000'],
'titleTextStyle': {'fontSize': 15},
'vAxis': {'textStyle': {'fontSize': 15}},
'hAxis': {'textStyle': {'fontSize': 15}, 'slantedText': true, 'slantedTextAngle': 30}
};
var chart = new google.visualization.LineChart(document.getElementById('result-big-chart'));
chart.draw(data, options);
}
'''
checked1 = 'document.getElementById("'+checked+'").checked=true;'
checked2 = 'document.getElementById("'+time+'").checked=true;'
textValue = 'document.getElementById("keyword").value="'+keyword+'";'
html += checked1 + checked2 + textValue
html += '''
function checkEmpty(f) {
if (f.keyword.value === "") {
alert('Please enter a valid keyword');
return false;
}else{
f.submit();
return true;
}
}
var _gaq = _gaq || [];
_gaq.push(['_setAccount', 'UA-31119754-1']);
_gaq.push(['_trackPageview']);
(function() {
var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
})();
</script>
</body>
</html>
'''
return html
#end
#end class