def parseComments(data):
"""
Parse comments from site
"""
global comments
reviewBegins = '<div style="margin-left:0.5em;">'
reviewEnds = '<div style="padding-top: 10px; clear: both; width: 100%;">'
stars_line = 'margin-right:5px;'
stars = re.compile('\d+.\d+ out of 5 stars')
header_line = '<span style="vertical-align:middle;"'
helpful_line ='people found the following review helpful'
helpful = re.compile('\d+ of \d+ people found the following review helpful')
reviewText = '<span class="h3color tiny">' # Actual review
boundaries = commentsStartStopLineNmbr(data)
for i in range(boundaries[0], boundaries[1] + 1):
if reviewBegins in data[i]:
curcomment = Comment()
while reviewEnds not in data[i]:
# Parse stars
if stars_line in data[i]:
stars_found = re.search(stars, data[i])
if stars_found != None:
curcomment.stars = stars_found.group()
# Parse header
elif header_line in data[i]:
line = data[i]
begin = line.find('<b>') + 3
end = line.find('</b>')
curcomment.header = line[begin : end]
# Parse helpfulness
elif helpful_line in data[i]:
helpful_found = data[i].replace(",", "")
helpful_found = re.search(helpful, helpful_found)
if helpful_found != None:
curcomment.helpful = helpful_found.group()
# Parse body text
elif reviewText in data[i]:
i += 3
if '<span class="small"' in data[i]: # Yep, dirty trick :(
i += 3
data[i] = stripHtmlTags(data[i])
curcomment.comment = re.sub("\s+", " ", data[i])
i += 1
comments.append(curcomment.getonelinecomment())
