def filterQueries(queryCountFile, queryFile, trainFile, sessionFile):
queryCount = loadFileInDict(queryCountFile)
#print len(queryCount)
toPrint = set()
toFilter = loadFileInList(queryFile)
training = loadFileInList(trainFile)
session = loadFileInList(sessionFile)
stemmer = stem.porter.PorterStemmer()
for entry in toFilter:
if (entry in queryCount) and ((queryCount[entry] > 15) or \
(entry in training) or (entry in session)):
entry1 = normalize(entry, stemmer)
toPrint.add(entry1)
#print entry, '\t', queryCount[entry]
for entry in toPrint:
print entry
def filterSessionWithQuery(fileName, queryFile):
queryList = loadFileInList(queryFile)
for line in open(fileName, 'r'):
split = line.split('\t')
query = split[0].strip()
nQuery = ''
for entry in query.split():
if len(entry) > 1:
nQuery += ' ' + entry
nQuery = nQuery.strip()
if (nQuery in queryList) or (query in queryList):
print line,
def main(argv):
simpleWalk = SimpleWalk()
top50 = loadFileInList(argv[2])
porter = stem.porter.PorterStemmer()
for rsession in getSessionWithQuery(argv[1]):
i = 0
j = 1
session = removeWrongEntries(rsession, top50)
sesLen = len(session)
while i < sesLen and j < sesLen:
stemI = stemQuery(session[i], porter)
stemJ = stemQuery(session[j], porter)
simpleWalk.addEdge(stemI, stemJ, 1.0)
i = j
j += 1
simpleWalk.filter(2)
simpleWalk.walk()
#category vector
catVect = loadCategoryVector(argv[2])
catManage1 = CategoryManager(catVect, argv[3], Category)
catManage2 = CategoryManager(catVect, argv[5], CategorySubcluster)
#ranker
ranker = Ranker()
entExp1 = CatThesExpansion(dexter, catManage1, ranker, catCoMan, None)
entExp2 = CatThesExpansion(dexter, catManage2, ranker, catCoMan, None)
oFile1 = open(argv[1][:argv[1].rfind('.')] + '_ent.txt', 'w')
oFile2 = open(argv[1][:argv[1].rfind('.')] + '_entSub.txt', 'w')
i = 0
porter = stem.porter.PorterStemmer()
totalVocab = loadFileInList(argv[7])
stats = {'sess': 0.0, 'aTerms': 0.0, 'ent': 0.0, 'enta': 0.0, 'acount': 0.0}
for session, documents, clicks, cTitle, scontents in getSessionWithXML(
argv[1]):
query = session[0]
cText = None
aTerms, rTerms = addedAndRemovedTerms(query, session[1:], totalVocab)
entStatus2, entExpTerms2 = entExp2.getTopSubclusters(query, cText, 1, 5)
if entStatus2:
stats['ent'] += 1
if len(aTerms) > 0:
stats['aTerms'] += 1
if entStatus2:
def main(argv):
#Scorer
coSessOccur = CoOccurrence()
coSessOcMan = CoOcManager(argv[2], coSessOccur, ' ')
tScorer = CoOccurSimScore(coSessOcMan)
cScorer = ScoreClusterTerms()
#vocab = set()
i = 0
prec = {}
mrr = {}
lim = 55
queryList = loadFileInList(argv[5])
termList, termDict = getTermList(queryList)
print len(termList)
added = 0
oracle_prec = 0.0
oracle_mrr = 0.0
for tid, session, viewDocs, clickDocs, cTitle, cSummary in getSessionWithXML(
argv[1]):
query = session[0].strip()
aTerms, rTerms = addedAndRemovedTerms(query, session[1:], termDict)
if len(aTerms) > 0:
prec1, mrr1 = getPrecRecall(termList, aTerms)
added += 1.0
oracle_prec += prec1
oracle_mrr += mrr1
print 'Oracle prec and recall ', oracle_prec / added, oracle_mrr / added
porter = stem.porter.PorterStemmer()
ttype = argv[6]
print ttype
for iFile in os.listdir(argv[3]):
qclusters = loadClusters(argv[3] + '/' + iFile)
clusters, clusIndex = toTerms(qclusters)
print iFile, len(clusters)
prec[iFile] = {}
mrr[iFile] = {}
added = 0.0
i = 1
for tid, session, viewDocs, clickDocs, cTitle, cSummary in getSessionWithXML(
argv[1]):
i += 1
query = session[0].strip()
qSet = getQueryTermsStemmed(query, porter)
print 'Query ', query, qSet
if ttype == 'query':
aTerms, rTerms = addedAndRemovedTerms(query, session[1:], termDict)
elif ttype == 'title':
aTerms = getTerms(cTitle, qSet, termDict, porter, range(
1, len(session) - 1))
else:
aTerms = getTerms(cTitle, qSet, termDict, porter, range(
1, len(session) - 1))
bTerms = getTerms(cSummary, qSet, termDict, porter, range(
1, len(session) - 1))
aTerms = aTerms | bTerms
#aTerms,rTerms = addedAndRemovedTerms(query, session[1:], None )
if len(aTerms) > 0:
terms = cScorer.scoreWithIndex(qSet, clusters, clusIndex, tScorer, lim)
#terms = cScorer.scoreWithClustPos(qSet, clusters,tScorer, lim)
print 'TERMS', '\t', i, '\t', ttype, '\t', iFile, '\t', len(
terms), terms
#for topk in range(1,lim,5):
prec1, mrr1 = getClustPrecMrr(terms, aTerms) # returns a list
print 'METRIC', iFile, i, prec1, mrr1
#print topk , prec1, mrr1
for topk in prec1.keys():
if topk not in prec[iFile]:
prec[iFile][topk] = []
mrr[iFile][topk] = []
prec[iFile][topk].append(prec1[topk])
mrr[iFile][topk].append(mrr1[topk])
#prec[iFile][topk] += prec1
#mrr[iFile][topk] += mrr1
added += 1.0
#if i == 3:
# break
for fName, scoreDict in prec.items():
for pos in scoreDict.keys():
print 'Prec all', fName, pos, len(scoreDict[pos])
total = sum(scoreDict[pos])
prec[fName][pos] = total / added #len(scoreDict[pos])
print 'Prec', fName, pos, prec[fName][pos], total
for fName, scoreDict in mrr.items():
for pos in scoreDict.keys():
print 'Mrr all', fName, pos, len(scoreDict[pos])
total = sum(mrr[fName][pos])
mrr[fName][pos] = total / added #len(scoreDict[pos])
print 'MRR', fName, pos, mrr[fName][pos], total
#for entry in prec.keys():
#for t in prec[entry].keys():
#print 'Prec',entry, t, prec[entry][t], prec[entry][t]/added
#prec[entry][t]/=added
#for entry in mrr.keys():
#for t in mrr[entry].keys():
#print 'Mrr',entry, t, mrr[entry][t], mrr[entry][t]/added
#mrr[entry][t]/=added
print 'Plotting Precision and MRR'
plotMultipleSys(prec, 'No of Terms', 'Prec', argv[4] + 'prec.png',
'Term Prediction Prec Plot')
plotMultipleSys(mrr, 'No of Terms', 'MRR', argv[4] + 'mrr.png',
'Term Prediction MRR Plot')
def main(argv): queries_to_ignore = loadFileInList(argv[2], 0) clean_user_sessions = getSessionsByUsers(argv[1], queries_to_ignore) WriteCleanSessionsToFile(clean_user_sessions, 5, argv[3])
def main(argv):
ipaddress = "localhost"
# dexter object
tagURL = "http://" + ipaddress + ":8080/rest/annotate"
catURL = "http://" + ipaddress + ":8080/rest/graph/get-entity-categories"
dexter = Dexter(tagURL, catURL, argv[5])
# load the Category co-occurrence bit
catCoMan = CoOcManager(argv[4], CoOccurrence(), " ")
# category vector
catVect = loadCategoryVector(argv[2])
catManage1 = CategoryManager(catVect, argv[3], Category)
catManage2 = CategoryManager(catVect, argv[7], CategorySubcluster)
# ranker
ranker = Ranker()
totalVocab = loadFileInList(argv[6])
# task extraction
# htcTask = TaskExpansion('Indexes/htcIndex',ranker,3000);
qccTask = TaskExpansion("Indexes/qccIndex", ranker, 3000, totalVocab)
# taskK = argv[5][argv[5].rfind('/')+1:]
wordFeatMan = None
# WordManager(argv[8],False);
# expansion
# entExp1 = CatThesExpansion(dexter, catManage1, ranker,catCoMan,wordFeatMan);
entExp2 = CatThesExpansion(dexter, catManage2, ranker, catCoMan, wordFeatMan)
# term expansion
coOccExp = CoOccurExpansion(catCoMan, None, ranker)
# randomWalk
# randWalk = RandomWalk(argv[2],argv[3],ranker)
prec = {"ent": {}, "qccTask": {}, "htcTask": {}, "co": {}, "entSub": {}}
mrr = {"ent": {}, "qccTask": {}, "htcTask": {}, "co": {}, "entSub": {}}
ent_prec = {"ent": {}, "qccTask": {}, "htcTask": {}, "co": {}, "entSub": {}}
ent_mrr = {"ent": {}, "qccTask": {}, "htcTask": {}, "co": {}, "entSub": {}}
"""
sess_prec = {};
sess_mrr = {};
"""
covered = {}
i = 0
porter = stem.porter.PorterStemmer()
ttype = argv[10]
for session, doc, click, cTitle, cSummary in getSessionWithXML(argv[1]):
query = session[0]
qSet = getQueryTerms(query)
# print 'Title, Summary clicked ',cTitle[0], cSummary[0];
aTerms = None
# cText = normalize(' '.join(cTitle[0]),porter);
if ttype == "query":
aTerms, rTerms = addedAndRemovedTerms(query, session[1:], totalVocab)
elif ttype == "title":
aTerms = getTerms(cTitle, qSet, totalVocab, porter, range(1, len(session) - 1))
else:
aTerms = getTerms(cTitle, qSet, totalVocab, porter, range(1, len(session) - 1))
bTerms = getTerms(cSummary, qSet, totalVocab, porter, range(1, len(session) - 1))
aTerms = aTerms | bTerms
print i, "Query", query, aTerms, len(aTerms)
if len(aTerms) > 0: # and query not in covered:
covered[query] = 1
coExpTerms = coOccExp.expandTextWithStep(query, 0, 55, 5)
# entStatus1, entExpTerms1 = entExp1.expandTextWithStep(query,'',1,0,55,5);
entStatus1, entExpTerms2 = entExp2.expandTextWithStepAndSubcluster(query, "", 1, 0, 55, 5)
qccTaskTerms = qccTask.expandTextWithStep(query, 0, 55, 5)
# htcTaskTerms = htcTask.expandTextWithStep(query,0,55,5)
# randExpTerms = randWalk.expandTextWithStep(query,55,105,5)
if not entStatus1:
print i, "Ent False", query
# addLen = getBand(len(aTerms));
# if addLen not in sess_prec:
# sess_prec[addLen] = {'ent':{}};#, 'qccTask':{}, 'htcTask':{}, 'co':{} };
# sess_mrr[addLen] = {'ent':{}};#, 'qccTask':{}, 'htcTask':{}, 'co':{} };
# for noTerms in entExpTerms1.keys():
# print 'ETerms\t',i,'\t',query,'\t',entExpTerms1[noTerms],'\t',noTerms;
# prec1 , mrr1 = getPrecRecall(entExpTerms1[noTerms],aTerms);
# prec = updateStats(noTerms, 'ent',prec1, prec);
# mrr = updateStats(noTerms, 'ent',mrr1, mrr);
# if entStatus1:
# ent_prec = updateStats(noTerms, 'ent',prec1, ent_prec)
# ent_mrr = updateStats(noTerms, 'ent',mrr1, ent_mrr);
##sess_prec[addLen] = updateStats(noTerms, 'ent',prec1, sess_prec[addLen])
##sess_mrr[addLen] = updateStats(noTerms, 'ent',mrr1, sess_mrr[addLen]);
# print 'EMetrics ',i,'\t',noTerms,'\t', len(aTerms), '\t', aTerms, '\t',prec1, '\t',mrr1;
#
for noTerms in entExpTerms2.keys():
print "ESubTerms\t", i, "\t", query, "\t", entExpTerms2[noTerms], "\t", noTerms
prec1, mrr1 = getPrecRecall(entExpTerms2[noTerms], aTerms)
prec = updateStats(noTerms, "entSub", prec1, prec)
mrr = updateStats(noTerms, "entSub", mrr1, mrr)
if entStatus1:
ent_prec = updateStats(noTerms, "entSub", prec1, ent_prec)
ent_mrr = updateStats(noTerms, "entSub", mrr1, ent_mrr)
# sess_prec[addLen] = updateStats(noTerms, 'ent',prec1, sess_prec[addLen])
# sess_mrr[addLen] = updateStats(noTerms, 'ent',mrr1, sess_mrr[addLen]);
print "ESubMetrics ", i, "\t", noTerms, "\t", len(aTerms), "\t", aTerms, "\t", prec1, "\t", mrr1
for noTerms in qccTaskTerms.keys():
print "qccTaskTerms\t", i, "\t", query, "\t", qccTaskTerms[noTerms], "\t", noTerms
prec1, mrr1 = getPrecRecall(qccTaskTerms[noTerms], aTerms)
prec = updateStats(noTerms, "qccTask", prec1, prec)
mrr = updateStats(noTerms, "qccTask", mrr1, mrr)
if entStatus1:
ent_prec = updateStats(noTerms, "qccTask", prec1, ent_prec)
ent_mrr = updateStats(noTerms, "qccTask", mrr1, ent_mrr)
"""
sess_prec[addLen] = updateStats(noTerms, 'qccTask',prec1, sess_prec[addLen])
sess_mrr[addLen] = updateStats(noTerms, 'qccTask',mrr1, sess_mrr[addLen]);
"""
print "qccTaskMetrics ", i, "\t", noTerms, "\t", len(aTerms), "\t", aTerms, "\t", prec1, "\t", mrr1
# for noTerms in htcTaskTerms.keys():
# print 'htcTaskTerms\t',i,'\t',query,'\t',htcTaskTerms[noTerms],'\t',noTerms
# prec1 , mrr1 = getPrecRecall(htcTaskTerms[noTerms],aTerms)
# prec = updateStats(noTerms, 'htcTask',prec1, prec)
# mrr = updateStats(noTerms, 'htcTask',mrr1, mrr);
# if entStatus1:
# ent_prec = updateStats(noTerms, 'htcTask',prec1, ent_prec)
# ent_mrr = updateStats(noTerms, 'htcTask',mrr1, ent_mrr);
##sess_prec[addLen] = updateStats(noTerms, 'htcTask',prec1, sess_prec[addLen])
##sess_mrr[addLen] = updateStats(noTerms, 'htcTask',mrr1, sess_mrr[addLen]);
#
# print 'htcTaskMetrics ',i,'\t',noTerms,'\t', len(aTerms), '\t', aTerms, '\t',prec1, '\t',mrr1
for noTerms in coExpTerms.keys():
print "CoTerms\t", i, "\t", query, "\t", coExpTerms[noTerms], "\t", noTerms
prec1, mrr1 = getPrecRecall(coExpTerms[noTerms], aTerms)
prec = updateStats(noTerms, "co", prec1, prec)
mrr = updateStats(noTerms, "co", mrr1, mrr)
if entStatus1:
ent_prec = updateStats(noTerms, "co", prec1, ent_prec)
ent_mrr = updateStats(noTerms, "co", mrr1, ent_mrr)
"""
sess_prec[addLen] = updateStats(noTerms, 'co',prec1, sess_prec[addLen])
sess_mrr[addLen] = updateStats(noTerms, 'co' ,mrr1, sess_mrr[addLen]);
"""
print "CoMetrics ", i, "\t", noTerms, "\t", len(aTerms), "\t", aTerms, "\t", prec1, "\t", mrr1
else:
pass
# print 'NO ADDED TERMS in', i;
i += 1
printMetric(prec, "entSub", "Prec")
printMetric(mrr, "entSub", "Mrr")
printMetric(prec, "ent", "Prec")
printMetric(mrr, "ent", "Mrr")
printMetric(prec, "htcTask", "Prec")
printMetric(mrr, "htcTask", "Mrr")
printMetric(prec, "qccTask", "Prec")
printMetric(mrr, "qccTask", "Mrr")
printMetric(prec, "co", "Prec")
printMetric(mrr, "co", "Mrr")
printMetric(ent_prec, "entSub", "EntPrec")
printMetric(ent_mrr, "entSub", "EntMrr")
printMetric(ent_prec, "ent", "EntPrec")
printMetric(ent_mrr, "ent", "EntMrr")
printMetric(ent_prec, "htcTask", "EntPrec")
printMetric(ent_mrr, "htcTask", "EntMrr")
printMetric(ent_prec, "qccTask", "EntPrec")
printMetric(ent_mrr, "qccTask", "EntMrr")
printMetric(ent_prec, "co", "EntPrec")
printMetric(ent_mrr, "co", "EntMrr")
plotMultipleSys(
prec,
"No of Terms",
"Prec",
argv[9] + "/" + argv[1][argv[1].rfind("/") + 1 : -4] + "_" + "prec.png",
"Term Prediction Prec Plot",
)
plotMultipleSys(
mrr,
"No of Terms",
"MRR",
argv[9] + "/" + argv[1][argv[1].rfind("/") + 1 : -4] + "_" + "mrr.png",
"Term Prediction MRR Plot",
)
plotMultipleSys(
ent_prec,
"No of Terms",
"Prec",
argv[9] + "/" + argv[1][argv[1].rfind("/") + 1 : -4] + "_" + "_ent_prec.png",
"Term Prediction Prec Plot (Ent queries)",
)
plotMultipleSys(
ent_mrr,
"No of Terms",
"MRR",
argv[9] + "/" + argv[1][argv[1].rfind("/") + 1 : -4] + "_" + "_ent_mrr.png",
"Term Prediction MRR Plot (Ent queries)",
)
# htcTask.closeIndex();
qccTask.closeIndex()
"""