def __init__(self):
self.childlist = {}
self.parentlist = {}
self.categorylist = Classification.getclassificationrule()
self.childlist['x'] = []
for catnode in self.categorylist:
if(Classification.isCat(catnode)):
self.parentlist[catnode] = 'x'
self.childlist['x'].append(catnode)
self.childlist[catnode] = []
elif(Classification.isSubcat(catnode)):
self.parentnode = Classification.subcatToCat(catnode)
self.parentlist[catnode] = self.parentnode
self.childlist[self.parentnode].append(catnode)
kf = {}
siblingcount = {}
siblingkeyword = {}
distinctness = {}
# Create a Category Tree. this will be later used for finding sibling of the category.
cattree = Tree.Categorytree()
# Count the amount of sibling categories for each category
for cat in categorylist:
siblingcount[cat] = len(cattree.getSibling(cat))
# Calculate keyword frequency in a category, store it to the kf table
for cat in categorylist:
kf[cat] = defaultdict(int)
if(Classification.isSubcat(cat)):
parentcat = cattree.getParent(cat)
findcount = '''for $class in /keywordXML/category
where data($class/@code)="'''+cat+'''"
return $class/book/keyword/text()'''
querycount = session1.query(findcount)
for typecode,ref in querycount.iter():
kf[parentcat][ref.encode('utf8')] += 1
kf[cat][ref.encode('utf8')] += 1
# Calculate keyword frequency in sibling's categories, store it to siblingkeyword table
for cat in categorylist:
siblingkeyword[cat] = defaultdict(int)
siblingcats = cattree.getSibling(cat)
for ref in kf[cat]:
for scat in siblingcats:
