def evalChangeDiversity(request):
if len(request.GET.keys()) == 0:
return HttpResponse(status=404)
if request.GET['search'] is None:
return HttpResponse(status=404)
search = request.GET['search'].encode("UTF-8")
srch = Search.objects.filter(query__exact = search).order_by('searchID').last()
results = SearchResult.objects.filter(searchID__exact = srch).order_by('rank')
matrix = [[0 for x in range(results.__len__())] for y in range(results.__len__())]
firstRes = results.first().resultID
lastRes = results.last().resultID
distQ = Distances.objects.filter(firstDoc__resultID__gte = firstRes, firstDoc__resultID__lte = lastRes).order_by('firstDoc', 'secondDoc')
if distQ is None or distQ.__len__() == 0:
return HttpResponse(status=404)
for dist in distQ:
matrix[dist.firstDoc.resultID-firstRes][dist.secondDoc.resultID-firstRes] = dist.distance
matrix[dist.secondDoc.resultID-firstRes][dist.firstDoc.resultID-firstRes] = dist.distance
if request.GET['lambda'] is None:
lamb = 0.0
else:
lamb = float(request.GET['lambda'])
ranking = Diversity.diversityRanking(matrix, results, lamb)
ILDMatrix = [[0 for x in range(sizeILD)] for y in range(sizeILD)]
for i in range(sizeILD):
for j in range(sizeILD):
ILDMatrix[i][j] = matrix[ranking[i]-1][ranking[j]-1]
ild = Diversity.calculateILD(ILDMatrix)
lnkList = []
for i in range(results.__len__()):
result = results[ranking[i]-1]
lnk = Link()
lnk.url = result.url
lnk.title = result.title
lnk.descr = result.snippet
lnk.query = search
lnk.rank = result.rank
lnk.save = False
lnkList.append(lnk)
context = {'serverName' : request.META['SERVER_NAME'], 'serverPort' : request.META['SERVER_PORT'], 'query2': search, 'query': urllib.quote(request.GET['search'].encode("UTF-8")), 'diversityList': lnkList, 'ildDiversity' : ild }
return render(request, 'evaluation/evalchangediversity.html', context)
def evaldoDiversity(request):
if len(request.GET.keys()) == 0:
return HttpResponse(status=404)
if request.GET['search'] is None:
return HttpResponse(status=404)
search = request.GET['search'].encode("UTF-8")
ws = Webservice()
list_result = ws.call_ws_search(search, False, request.META['REMOTE_ADDR'],
request.META['HTTP_USER_AGENT'])
#Obtaining the results
url = 'http://localhost:10000/search?query=' + urllib.quote(
search) + '&clientIP=' + request.META['REMOTE_ADDR'] + '&filter=False'
srch = Search()
srch.query = search
srch.numResults = list_result['search'].__len__()
srch.save()
saveL = True
linkList = list()
results = list()
i = 1
for result in list_result['search']:
lnk = Link()
lnk.url = result['url']
lnk.title = result['title']
lnk.descr = result['snippet']
lnk.query = search
lnk.rank = result['rank']
linkList.append(lnk)
lnkres = SearchResult()
lnkres.url = lnk.url
lnkres.snippet = lnk.descr
lnkres.searchID = srch
lnkres.rank = lnk.rank
lnkres.title = lnk.title
lnkres.value = result['value']
lnkres.save()
results.append(lnkres)
matrix = [[0 for x in range(results.__len__())]
for y in range(results.__len__())]
url = 'http://localhost:10000/diversity/?query=' + urllib.quote(
search) + '&clientIP=' + request.META['REMOTE_ADDR'] + '&filter=False'
list_matrix = ws.call_ws(url, request.META['HTTP_USER_AGENT'])
for dist in list_matrix['matrix']:
d = Distances()
leng = results.__len__()
rank1 = dist['rank1']
rank2 = dist['rank2']
d.firstDoc = results[dist['rank1'] - 1]
d.secondDoc = results[dist['rank2'] - 1]
d.distance = dist['distance']
d.save()
matrix[dist['rank1'] - 1][dist['rank2'] - 1] = d.distance
matrix[dist['rank2'] - 1][dist['rank1'] - 1] = d.distance
ILDMatrix = [[0 for x in range(sizeILD)] for y in range(sizeILD)]
for i in range(sizeILD):
for j in range(sizeILD):
ILDMatrix[i][j] = matrix[i][j]
#Obtaining the ILD result for both lists (it will be the same in first instance
ild = Diversity.calculateILD(ILDMatrix)
context = {
'serverName': request.META['SERVER_NAME'],
'serverPort': request.META['SERVER_PORT'],
'query2': search,
'query': urllib.quote(search),
'linkList': linkList,
'diversityList': linkList,
'ildRankSym': ild,
'ildDiversity': ild
}
return render(request, 'evaluation/evaldiversity.html', context)
def evaldoDiversity(request):
if len(request.GET.keys()) == 0:
return HttpResponse(status=404)
if request.GET['search'] is None:
return HttpResponse(status=404)
search = request.GET['search'].encode("UTF-8")
ws = Webservice()
list_result = ws.call_ws_search(search, False, request.META['REMOTE_ADDR'], request.META['HTTP_USER_AGENT'])
#Obtaining the results
url = 'http://localhost:10000/search?query='+urllib.quote(search)+'&clientIP='+request.META['REMOTE_ADDR']+'&filter=False'
srch = Search()
srch.query = search
srch.numResults = list_result['search'].__len__()
srch.save()
saveL = True
linkList = list()
results = list()
i = 1
for result in list_result['search']:
lnk = Link()
lnk.url = result['url']
lnk.title = result['title']
lnk.descr = result['snippet']
lnk.query = search
lnk.rank = result['rank']
linkList.append(lnk)
lnkres = SearchResult()
lnkres.url = lnk.url
lnkres.snippet = lnk.descr
lnkres.searchID = srch
lnkres.rank = lnk.rank
lnkres.title = lnk.title
lnkres.value = result['value']
lnkres.save()
results.append(lnkres)
matrix = [[0 for x in range(results.__len__())] for y in range(results.__len__())]
url = 'http://localhost:10000/diversity/?query='+urllib.quote(search)+'&clientIP='+request.META['REMOTE_ADDR']+'&filter=False'
list_matrix = ws.call_ws(url, request.META['HTTP_USER_AGENT'])
for dist in list_matrix['matrix']:
d = Distances()
leng = results.__len__()
rank1 = dist['rank1']
rank2 = dist['rank2']
d.firstDoc = results[dist['rank1'] - 1]
d.secondDoc = results[dist['rank2'] - 1]
d.distance = dist['distance']
d.save()
matrix[dist['rank1'] - 1][dist['rank2'] - 1] = d.distance
matrix[dist['rank2'] - 1][dist['rank1'] - 1] = d.distance
ILDMatrix = [[0 for x in range(sizeILD)] for y in range(sizeILD)]
for i in range(sizeILD):
for j in range(sizeILD):
ILDMatrix[i][j] = matrix[i][j]
#Obtaining the ILD result for both lists (it will be the same in first instance
ild = Diversity.calculateILD(ILDMatrix)
context = {'serverName' : request.META['SERVER_NAME'], 'serverPort' : request.META['SERVER_PORT'],'query2': search, 'query': urllib.quote(search), 'linkList': linkList, 'diversityList': linkList, 'ildRankSym' : ild, 'ildDiversity' : ild }
return render(request, 'evaluation/evaldiversity.html', context)
def evalChangeDiversity(request):
if len(request.GET.keys()) == 0:
return HttpResponse(status=404)
if request.GET['search'] is None:
return HttpResponse(status=404)
search = request.GET['search'].encode("UTF-8")
srch = Search.objects.filter(
query__exact=search).order_by('searchID').last()
results = SearchResult.objects.filter(
searchID__exact=srch).order_by('rank')
matrix = [[0 for x in range(results.__len__())]
for y in range(results.__len__())]
firstRes = results.first().resultID
lastRes = results.last().resultID
distQ = Distances.objects.filter(firstDoc__resultID__gte=firstRes,
firstDoc__resultID__lte=lastRes).order_by(
'firstDoc', 'secondDoc')
if distQ is None or distQ.__len__() == 0:
return HttpResponse(status=404)
for dist in distQ:
matrix[dist.firstDoc.resultID - firstRes][dist.secondDoc.resultID -
firstRes] = dist.distance
matrix[dist.secondDoc.resultID - firstRes][dist.firstDoc.resultID -
firstRes] = dist.distance
if request.GET['lambda'] is None:
lamb = 0.0
else:
lamb = float(request.GET['lambda'])
ranking = Diversity.diversityRanking(matrix, results, lamb)
ILDMatrix = [[0 for x in range(sizeILD)] for y in range(sizeILD)]
for i in range(sizeILD):
for j in range(sizeILD):
ILDMatrix[i][j] = matrix[ranking[i] - 1][ranking[j] - 1]
ild = Diversity.calculateILD(ILDMatrix)
lnkList = []
for i in range(results.__len__()):
result = results[ranking[i] - 1]
lnk = Link()
lnk.url = result.url
lnk.title = result.title
lnk.descr = result.snippet
lnk.query = search
lnk.rank = result.rank
lnk.save = False
lnkList.append(lnk)
context = {
'serverName': request.META['SERVER_NAME'],
'serverPort': request.META['SERVER_PORT'],
'query2': search,
'query': urllib.quote(request.GET['search'].encode("UTF-8")),
'diversityList': lnkList,
'ildDiversity': ild
}
return render(request, 'evaluation/evalchangediversity.html', context)