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exp8.py
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__author__ = 's3525116'
__author__ = 's3525116'
from string_manipulation import *
#from reviews import *
#-----------------------------------------------------------------------------------------------------------------------
def parseFileTestData(filename,startFrom):
'''
Parsing Stanford Dataset aggressive_dedup.json
"reviewerID": "A2SUAM1J3GNN3B",
"asin": "0000013714",
"reviewerName": "J. McDonald",
"helpful": [2, 3],
"reviewText": "I bought this for my husband who plays the piano. He is having a wonderful time playing these old hymns. The music is at times hard to read because we think the book was published for singing from more than playing from. Great purchase though!",
"overall": 5.0,
"summary": "Heavenly Highway Hymns",
"unixReviewTime": 1252800000,
"reviewTime": "09 13, 2009"
:param filename:
:param entry:
:return:
'''
'''
:param filename:
:param entry:
:return:
'''
print("Procedure to Parse Product Review Data of Stanford Dataset aggressive_dedup.json")
print("Started")
uniqueReviews = dict()
#fp = open(filename, 'r')
counter = 0
allReviews = []
listReviews = []
shouldIStart = 0
line = ""
finishAt = startFrom + 100000
nlinesReadIgnored = 0
filehandle = open("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/allproducts_big_run.txt",'a')
with open(filename, 'r') as fp:
for line in fp:
if counter == finishAt:
break
if counter == startFrom:
print("Starting at index "+str(counter))
print("Num lines Ignored "+str(nlinesReadIgnored))
shouldIStart = 1
else:
#fp.readline() #toIgnore
nlinesReadIgnored = nlinesReadIgnored + 1
# print("NotConsidered")
# print(counter)
# print(line)
if shouldIStart == 1:
#line = fp.readline()
#print("Considered")
#print(counter)
#print(line)
new = line.split('reviewerID')
reviewerID = extractFirstString(new[1])
#if reviewerID == "":
# print("Problem with reviewerID")
new = line.split('asin')
asin = extractFirstString(new[1])
#if asin == "":
# print("Problem with asin")
new = line.split('reviewerName')
if len(new)>1:
reviewerName = extractFirstString(new[1])
#if reviewerName == "":
# print("Problem with reviewerName")
new = line.split('helpful')
helpful = extractHelpful(new[1])
if helpful == "":
# print("Problem with helpful")
for i in range(len(new)):
helpful = extractHelpful(new[i])
if helpful != "":
break
numVotes = extractNumVotes(new[1])
#if numVotes == "":
# print("Problem with numVotes")
new = line.split('reviewText')
reviewText = extractFirstString(new[1])
#if reviewText == "":
# print("Problem with reviewText")
new = line.split('overall')
overall = extractRatingTime(new[1])
if overall == "":
for i in range(len(new)):
overall = extractRatingTime(new[i])
if overall != "":
break
#if overall == "":
#print("Problem with overall")
new = line.split('summary')
summary = extractFirstString(new[len(new)-1])
#if summary == "":
# print("Problem with summary")
new = line.split('unixReviewTime')
if len(new) > 1:
unixReviewTime = extractUnixTime(new[1])
#if unixReviewTime == "":
# print("Problem with unixReviewTime")
new = line.split('reviewTime')
reviewTime = extractFirstString(new[1])
#if reviewTime == "":
# print("Problem with reviewTime")
review = Review(reviewerID,asin,reviewTime,helpful,numVotes,overall,reviewText,summary,unixReviewTime)
filehandle.write(line)
#filehandle.write("\n")
if review.productid in uniqueReviews:
listReviews = uniqueReviews[review.productid]
listReviews.append(review)
uniqueReviews[review.productid] = listReviews
else:
listReviews = []
listReviews.append(review)
uniqueReviews[review.productid] = listReviews
counter = counter + 1
else:
counter = counter + 1
continue
filehandle.close()
fp.close()
print("Num Reviews")
print(counter)
print("Processed "+str(counter)+" Reviews so far")
print("Finished")
return uniqueReviews
#-----------------------------------------------------------------------------------------------------------------------
from datetime import datetime
def readDataStanfordDataSetTechniqueTwo(filename,startFrom):
'''
Parsing Stanford Dataset aggressive_dedup.json and write each product file with name product id
"reviewerID": "A2SUAM1J3GNN3B",
"asin": "0000013714",
"reviewerName": "J. McDonald",
"helpful": [2, 3],
"reviewText": "I bought this for my husband who plays the piano. He is having a wonderful time playing these old hymns. The music is at times hard to read because we think the book was published for singing from more than playing from. Great purchase though!",
"overall": 5.0,
"summary": "Heavenly Highway Hymns",
"unixReviewTime": 1252800000,
"reviewTime": "09 13, 2009"
:param filename:
:param entry:
:return:
'''
'''
:param filename:
:param entry:
:return:
'''
print("Procedure to Parse Product Review Data of Stanford Dataset aggressive_dedup.json")
print("Started at ")
start = datetime.now()
print(start)
uniqueReviews = dict()
#numReviesPerProduct = dict()
fp = open(filename, 'r')
counter = 0
allReviews = []
listReviews = []
shouldIStart = 0
line = ""
finishAt = startFrom + 2000000
while 1:
if counter == finishAt:
break
if counter == startFrom:
print("Starting at index "+str(counter))
shouldIStart = 1
else:
line = fp.readline() #toIgnore
if shouldIStart == 1:
line = fp.readline()
new = line.split('reviewerID')
reviewerID = extractFirstString(new[1])
#if reviewerID == "":
# print("Problem with reviewerID")
new = line.split('asin')
asin = extractFirstString(new[1])
#if asin == "":
# print("Problem with asin")
new = line.split('reviewerName')
if len(new)>1:
reviewerName = extractFirstString(new[1])
#if reviewerName == "":
# print("Problem with reviewerName")
new = line.split('helpful')
helpful = extractHelpful(new[1])
if helpful == "":
# print("Problem with helpful")
for i in range(len(new)):
helpful = extractHelpful(new[i])
if helpful != "":
break
numVotes = extractNumVotes(new[1])
#if numVotes == "":
# print("Problem with numVotes")
new = line.split('reviewText')
reviewText = extractFirstString(new[1])
#if reviewText == "":
# print("Problem with reviewText")
new = line.split('overall')
overall = extractRatingTime(new[1])
if overall == "":
for i in range(len(new)):
overall = extractRatingTime(new[i])
if overall != "":
break
#if overall == "":
#print("Problem with overall")
new = line.split('summary')
summary = extractFirstString(new[len(new)-1])
#if summary == "":
# print("Problem with summary")
new = line.split('unixReviewTime')
if len(new) > 1:
unixReviewTime = extractUnixTime(new[1])
#if unixReviewTime == "":
# print("Problem with unixReviewTime")
new = line.split('reviewTime')
reviewTime = extractFirstString(new[1])
#if reviewTime == "":
# print("Problem with reviewTime")
review = Review(reviewerID,asin,reviewTime,helpful,numVotes,overall,reviewText,summary,unixReviewTime)
filehandle = None
try:
filehandle = open("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_two/"+review.productid,'a')
writeReviewToFile(filehandle,review)
except OSError as e:
to = e.errno
finally:
if filehandle is not None:
filehandle.close()
'''
print(counter)
if review.productid in uniqueReviews:
filehandle = uniqueReviews[review.productid]
writeReviewToFile(filehandle,review)
#filehandle.close()
else:
try:
filehandle = open("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_two/"+review.productid,'a')
writeReviewToFile(filehandle,review)
uniqueReviews[review.productid] = filehandle
except OSError as e:
to = e.errno
print(counter)
if review.productid in uniqueReviews:
filehandle = uniqueReviews[review.productid]
writeReviewToFile(filehandle,review)
filehandle.close()
#numReviesPerProduct[review.productid] = numReviesPerProduct[review.productid] +1
else:
print(counter)
writeReviewToFile(filehandle,review)
uniqueReviews[review.productid] = filehandle
filehandle.close()
#numReviesPerProduct[review.productid] = 1
'''
counter = counter + 1
print("Processed "+str(counter)+" Reviews so far")
print("Num Reviews processed in this run")
print(counter-startFrom)
print("Num Unique Products")
#print(len(uniqueReviews))
'''
countNumProducts = 0
print("Num Products with 20 reviews or more ")
for key,value in numReviesPerProduct.items():
if value >19:
countNumProducts = countNumProducts + 1
print(countNumProducts)
'''
Finished = datetime.now()
print("Finished at ")
print(Finished)
print("Taking ")
done = Finished - start
print(str(round(done.total_seconds()/60,3))+" minutes")
return #numReviesPerProduct
#-----------------------------------------------------------------------------------------------------------------------
def readDataStanfordDataSetTechniqueOne():
print("Started at ")
start = datetime.now()
print(start)
uniqueReviews= parseFileTestData("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/aggressive_dedup.json/aggressive_dedup.json.gz2",0)
print("Num Unique Products")
print(len(uniqueReviews))
countNumProducts = 0
totalNumReviews = 0
for key,value in uniqueReviews.items():
numReviews = len(value)
if numReviews > 19:
valid = writeEachProductReviewsToFile(key,value,"C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_one-p2/")
if valid == 1:
countNumProducts = countNumProducts + 1
totalNumReviews = totalNumReviews + numReviews
print("Num Products with 20 reviews or more ")
print(countNumProducts)
print("With Total Num Reviews")
print(totalNumReviews)
Finished = datetime.now()
print("Finished at ")
print(Finished)
print("Taking ")
done = Finished - start
print(str(round(done.total_seconds()/60,3))+" minutes")
return
#-----------------------------------------------------------------------------------------------------------------------
def readDataStanfordDataSetTechniqueThree(filename):
print("Procedure to Parse Product Review Data of Stanford Dataset aggressive_dedup.json")
print("Started")
uniqueReviews = dict()
#fp = open(filename, 'r')
counter = 0
allReviews = []
listReviews = []
shouldIStart = 0
start = datetime.now()
print("Started Searching for Products with reviews >= 20 at")
print(start)
line = ""
startFrom = 0
#finishAt = 10000
filehandle = open("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/products_with_big_reviews.txt",'a')
with open(filename, 'r') as fp:
for line in fp:
#if counter == finishAt:
# break
if counter == startFrom:
shouldIStart = 1
if shouldIStart == 1:
new = line.split('asin')
asin = extractFirstString(new[1])
if asin in uniqueReviews:
numReviews = uniqueReviews[asin]
numReviews = numReviews + 1
uniqueReviews[asin] = numReviews
else:
uniqueReviews[asin] = 0
counter = counter + 1
else:
counter = counter + 1
continue
Finished = datetime.now()
done = Finished - start
print("Finished Searching in "+str(round(done.total_seconds()/60,3))+" minutes")
print("Now Writing values to file")
for key,value in uniqueReviews.items():
if value > 19:
filehandle.write(key)
filehandle.write("\t")
filehandle.write(str(value))
filehandle.write("\n")
FinishedWriting = datetime.now()
done = FinishedWriting - done
#print("Finished Writing in "+str(round(done.total_seconds()/60,3))+" minutes")
filehandle.close()
fp.close()
print("Num Reviews")
print(counter)
print("Processed "+str(counter)+" Reviews so far")
FinishedAll = datetime.now()
done = FinishedAll - start
print("Finished the process in "+str(round(done.total_seconds()/60,3))+" minutes")
return
#-----------------------------------------------------------------------------------------------------------------------
def parseReviewLineStanfordDataset(line):
new = line.split('reviewerID')
reviewerID = extractFirstString(new[1])
new = line.split('asin')
asin = extractFirstString(new[1])
reviewerName = ""
new = line.split('reviewerName')
if len(new)>1 :
reviewerName = extractFirstString(new[1])
new = line.split('helpful')
helpful = extractHelpful(new[1])
if helpful == "":
for i in range(len(new)):
helpful = extractHelpful(new[i])
if helpful != "":
break
numVotes = extractNumVotes(new[1])
new = line.split('reviewText')
reviewText = extractFirstString(new[1])
new = line.split('overall')
overall = extractRatingTime(new[1])
if overall == "":
for i in range(len(new)):
overall = extractRatingTime(new[i])
if overall != "":
break
new = line.split('summary')
summary = extractFirstString(new[len(new)-1])
unixReviewTime = 0
new = line.split('unixReviewTime')
if len(new) > 1:
unixReviewTime = extractUnixTime(new[1])
new = line.split('reviewTime')
reviewTime = extractFirstString(new[1])
review = Review(reviewerID,asin,reviewTime,helpful,numVotes,overall,reviewText,summary,unixReviewTime)
return review
def parseReviewLineStanfordDatasetMinimized(line):
new = line.split('\t')
reviewerID = new[0]
asin = new[1]
reviewerName = ""
reviewTime = new[2]
numVotes = new[3]
helpful = new[4]
overall = new[5]
reviewText = new[6]
summary = new[7]
unixReviewTime = new[8]
review = Review(reviewerID,asin,reviewTime,helpful,numVotes,overall,reviewText,summary,unixReviewTime)
return review
def writeListofReviews(listOfReviews):
for review in listOfReviews:
filehandle = None
try:
filehandle = open("/research/remote/petabyte/users/yassien/Unique_Products_Stanford_three/Product_Reviews/"+review.productid+".txt",'a')
writeReviewToFile(filehandle,review)
except OSError as e:
to = e.errno
return
def writeListofReviewsNew(listOfReviews,AllFiles):
numFilesWritten = 0
for key,value in listOfReviews.items():
filehandle = None
if value != "":
try:
filehandle = AllFiles[key]
try:
filehandle.write(value)
numFilesWritten = numFilesWritten +1
except IOError as e:
pass
except KeyError as e:
if len(AllFiles) >= 500:
#filehandle = AllFiles[0]
#del AllFiles[0]
#filehandle.close()
AllFiles.clear()
try:
filehandle = open("/research/remote/petabyte/users/yassien/Unique_Products_Stanford_three/Product_Reviews/"+key+".txt",'a')
filehandle.write(value)
AllFiles[key] = filehandle
numFilesWritten = numFilesWritten +1
except IOError as e:
pass
else:
try:
filehandle = open("/research/remote/petabyte/users/yassien/Unique_Products_Stanford_three/Product_Reviews/"+key+".txt",'a')
filehandle.write(value)
AllFiles[key] = filehandle
numFilesWritten = numFilesWritten +1
except IOError as e:
pass
print("Num Files written in this round " +str(numFilesWritten))
return
def writeListofReviewsNewNew(listOfReviews):
numFilesWritten = 0
counter = 0
numLen = len(listOfReviews)
for key,value in listOfReviews.items():
filehandle = None
if value != "":
try:
fileName = "/research/remote/petabyte/users/yassien/Unique_Products_Stanford_three/Product_Reviews/"+key+".txt"
try:
filehandle = open(fileName,'a')#open("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Product_Reviews/"+key+".txt",'a')
filehandle.write(value)
numFilesWritten = numFilesWritten +1
except IOError as e:
pass
except KeyError as e:
pass
counter = counter + 1
if counter%10000 == 0:
print(str(counter) +" is done out of "+str(numLen))
print("Num Files written in this round " +str(numFilesWritten))
return
def writeOneFileToImportantProducts(listOfReviews,filehandle):
numFilesWritten = 0
for key,value in listOfReviews.items():
#filehandle = None
if value != "":
try:
filehandle.write(value)
numFilesWritten = numFilesWritten +1
except IOError as e:
pass
print("Num Files written in this round " +str(numFilesWritten))
return
def convertReviewtoText(review):
'''
reviewString = review.memberid
reviewString = reviewString + "\t"+review.productid
reviewString = reviewString + "\t"+review.date
reviewString = reviewString + "\t"+str(review.numfeedback)
reviewString = reviewString + "\t"+str(review.numhelpful)
reviewString = reviewString + "\t"+str(review.rating)
reviewString = reviewString + "\t"+review.body
reviewString = reviewString + "\t"+review.summary
reviewString = reviewString + "\t"+str(review.unixtime) + "\n"
'''
reviewString = ''.join([review.memberid, "\t",review.productid,"\t",review.date,"\t",str(review.numfeedback),"\t",str(review.numhelpful),"\t",str(review.rating),"\t",review.body,"\t",review.summary,"\t",str(review.unixtime),"\n"])
#print("reviewString")
#print(reviewString)
return reviewString
#-----------------------------------------------------------------------------------------------------------------------
#import sys
def retrieveProductReviewsPerProduct(filename):
print("Procedure to retrieve all reviews for product from Stanford Dataset aggressive_dedup.json")
print("Started")
counter = 0
shouldIStart = 0
start = datetime.now()
print(start)
line = ""
print("Reading all available products with the criteria")
productList = retrieveAllProductsFromProductReviewFile("/research/remote/petabyte/users/yassien/Unique_Products_Stanford_three/products_with_big_reviews.txt")
#allFileHandles = createfileHandlesForAllProducts(productList)
step1Finished = datetime.now()
done = step1Finished - start
print("Finished in "+str(round(done.total_seconds()/60,3))+" minutes")
'''
print("Creating dicrionary with opened files to write reviews")
productFileHandle = dict([(product, open("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Product_Reviews/"+product+".txt",'a')) for product in productList])
step2Finished = datetime.now()
done = step2Finished - step1Finished
print("Finished in "+str(round(done.total_seconds()/60,3))+" minutes")
'''
AllFiles = dict()
counter = 0
numRightReviews = 0
print("Retrieving all reviews for all product files")
listofReviews = dict()
listRev = []
currentIndex = 0
previous = step1Finished
with open(filename, 'r') as fp:
for line in fp:
new = line.split('\t')
if len(new) > 1:
asin = new[1]
if asin != "":
try:
productId = productList[asin]
if asin == productId:
numRightReviews = numRightReviews + 1
'''
try:
fileName = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Product_Reviews/"+asin+".txt"
filehandle = open(fileName,'a')
filehandle.write(line)
except IOError as e:
pass
'''
if currentIndex == 10000000:
beforeWriting = datetime.now()
print("Will start writing")
writeListofReviewsNewNew(listofReviews)
afterWriting = datetime.now()
done = afterWriting - beforeWriting
print(" Writing took "+str(round(done.total_seconds()/60,3)))
listofReviews = dict()
currentIndex = 0
listofReviews[asin] = line
else:
try:
availableString = listofReviews[asin]
availableString = ''.join([availableString, line])
listofReviews[asin] = availableString
except KeyError as e:
listofReviews[asin] = line
currentIndex = currentIndex + 1
except KeyError as e:
pass
counter = counter + 1
if counter%100000 == 0:
now = datetime.now()
done = now - previous
previous = now
done2 = now - step1Finished
print(str(counter)+" all Processed "+str(numRightReviews)+" good this step took "+str(round(done.total_seconds()/60,3))+" minutes" + " out of "+str(round(done2.total_seconds()/60,3))+" minutes")
if len(listofReviews) > 0 :
print("Writing what's leftover")
writeListofReviewsNewNew(listofReviews)
step3Finished = datetime.now()
done = step3Finished - step1Finished
print("Finished in "+str(round(done.total_seconds()/60,3))+" minutes")
Finished = datetime.now()
done = Finished - start
print("Finished retrieving all reviwes for this product in "+str(round(done.total_seconds()/60,3))+" minutes")
fp.close()
return
#-----------------------------------------------------------------------------------------------------------------------
def retrieveAllProductsFromProductReviewFile(filename):
data_initial = open(filename, "rU")
productList = []
reader = csv.reader((line.replace('\0','') for line in data_initial), delimiter='\n')
for row in reader:
temp = [i.split('\t') for i in row]
temp = list(temp[0])
productList.append(temp[0])
productsFound = dict([(product, product) for product in productList])
return productsFound
def createfileHandlesForAllProducts(productList):
print("Creating All empty files first")
allFileHandles = dict()
start = datetime.now()
counter = 0
print(start)
for key,value in productList.items():
fileName = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Product_Reviews/"+key+".txt"
try:
filehandle = open(fileName,'a')
filehandle.close()
allFileHandles[key] = fileName
except IOError as e:
pass
counter = counter + 1
if counter%100000 == 0:
print(str(counter)+" done so far")
finished = datetime.now()
done = finished - start
print("Finished in "+str(round(done.total_seconds()/60,3))+" minutes")
return allFileHandles
def createSmallerDatasSetFile(filename):
print("Procedure to create Smaller DataSet from Stanford Dataset aggressive_dedup.json")
print("Started")
counter = 0
shouldIStart = 0
start = datetime.now()
print(start)
line = ""
print("Reading all available products with the criteria")
productList = retrieveAllProductsFromProductReviewFile("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/products_with_big_reviews.txt")
step1Finished = datetime.now()
done = step1Finished - start
print("Finished in "+str(round(done.total_seconds()/60,3))+" minutes")
filehandle = open("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/aggressive_dedup_smaller.txt",'a')
filehandle.write(line)
counter = 0
numRightReviews = 0
previous = step1Finished
print("Retrieving all reviews for all product files")
with open(filename, 'r') as fp:
for line in fp:
new = line.split('asin')
if len(new) > 1:
asin = extractFirstString(new[1])
if asin != "":
try:
var1 = productList[asin]
if asin == var1:
numRightReviews = numRightReviews + 1
review = parseReviewLineStanfordDataset(line)
reviewString = convertReviewtoText(review)
filehandle.write(reviewString)
filehandle.write("\n")
except KeyError as e:
pass
counter = counter + 1
if counter%100000 == 0:
now = datetime.now()
done = now - previous
previous = now
done2 = now - step1Finished
print(str(counter)+" all Processed "+str(numRightReviews)+" good this step took "+str(round(done.total_seconds()/60,3))+" minutes" + " out of "+str(round(done2.total_seconds()/60,3))+" minutes")
step3Finished = datetime.now()
done = step3Finished - step1Finished
print("Finished in "+str(round(done.total_seconds()/60,3))+" minutes")
filehandle.close()
Finished = datetime.now()
done = Finished - start
print("Finished retrieving all reviwes for this product in "+str(round(done.total_seconds()/60,3))+" minutes")
fp.close()
return
#-----------------------------------------------------------------------------------------------------------------------
def readMetaDataFileAndWriteOnlyNeeded(filePath):
print("Procedure to retrieve all metaData for product from Stanford Dataset metadata.json")
print("Started")
counter = 0
shouldIStart = 0
start = datetime.now()
print(start)
line = ""
print("Reading all available products with the criteria")
productList = retrieveAllProductsFromProductReviewFile("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/products_with_big_reviews.txt")
step1Finished = datetime.now()
done = step1Finished - start
print("Finished in "+str(round(done.total_seconds()/60,3))+" minutes")
filehandle = open("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/metadata.json/MetaDataSet.txt",'a')
counter = 0
numRightReviews = 0
print("Retrieving all MetaData for all product files")
listofReviews = ""
currentIndex = 0
previous = step1Finished
with open(filePath, 'r') as fp:
for line in fp:
new = line.split('asin')
asin = extractAsin(new[1])
if asin != "":
try:
var1 = productList[asin]
if asin == var1:
filehandle.write(line)
numRightReviews = numRightReviews + 1
except KeyError as e:
pass
counter = counter + 1
if counter%100000 == 0:
now = datetime.now()
done = now - previous
previous = now
done2 = now - step1Finished
print(str(counter)+" all Processed "+str(numRightReviews)+" good this step took "+str(round(done.total_seconds()/60,3))+" minutes" + " out of "+str(round(done2.total_seconds()/60,3))+" minutes")
step3Finished = datetime.now()
done = step3Finished - step1Finished
print("Finished in "+str(round(done.total_seconds()/60,3))+" minutes")
filehandle.close()
Finished = datetime.now()
done = Finished - start
print("Finished retrieving all reviwes for this product in "+str(round(done.total_seconds()/60,3))+" minutes")
fp.close()
return
def createNewMetaDataWithOnlySalesRank(filePath):
print("Procedure to write MetaData File with only Product Id and Sales Rank")
print("Started")
counter = 0
start = datetime.now()
previous = start
print(start)
line = ""
filehandle = open("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/metadata.json/Metadata_Sales_Rank.txt",'a')
counter = 0
with open(filePath, 'r') as fp:
for line in fp:
new = line.split('asin')
asin = extractAsin(new[1])
new = line.split('salesRank')
if len(new)>1:
salesRank = extractSalesRank(new[1])
else:
salesRank = ("None", -1)
filehandle.write(str(asin))
filehandle.write("\t")
filehandle.write(salesRank[0])
filehandle.write("\t")
filehandle.write(str(salesRank[1]))
filehandle.write("\n")
if counter%100000 == 0:
now = datetime.now()
done = now - previous
previous = now
print(str(counter)+" all Processed "+str(round(done.total_seconds()/60,3))+" minutes")
counter = counter + 1
filehandle.close()
Finished = datetime.now()
done = Finished - start
print("Finished retrieving all reviwes for this product in "+str(round(done.total_seconds()/60,3))+" minutes")
fp.close()
return
def readSalesRankMetaDataFile(filePath):
print("Procedure to read MetaData File with only Product Id and Sales Rank")
print("Started")
counter = 0
start = datetime.now()
previous = start
print(start)
line = ""
categories = dict()
with open(filePath, 'r') as fp:
for line in fp:
row = line.split('\t')
try:
numProducts = categories[row[1]]
categories[row[1]] = numProducts + 1
except KeyError as e:
categories[row[1]] = 1
pass
counter = 0
for key,value in categories.items():
print(key+" = "+str(value))
counter = counter + value
print("Total Number of all Products = "+str(counter))
return
#-----------------------------------------------------------------------------------------------------------------------
def readSalesRankMetaAndCreateFilesWithCategories(filePath):
print("Procedure to read MetaData File and create files for each category")
print("This file willl contain each product_ID Sales_Rank")
#product_Id Category sales_rank
print("Started")
start = datetime.now()
previous = start
print(start)
counter = 0
line = ""
products = []
categories = dict()
with open(filePath, 'r') as fp:
for line in fp:
row = line.split('\t')
try:
products = categories[row[1]]
products.append((row[0],int(row[2])))
categories[row[1]] = products
except KeyError as e:
products = []
products.append((row[0],int(row[2])))
categories[row[1]] = products
pass
for key,value in categories.items():
print("key")
print(key)
if key !="":
filehandle = open("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/categories/"+key+".txt",'a')
for i in range(len(value)):
filehandle.write(str(value[i][0]))
filehandle.write("\t")
filehandle.write(str(value[i][1]))
filehandle.write("\n")
Finished = datetime.now()
done = Finished - start
print("Finished in "+str(round(done.total_seconds()/60,3))+" minutes")
return
def computeMajorityVoteForProductCategories(filePath,category):
print("Procedure to read category File, get a product from it and read its file and compute the average and write to a file for a cetegory file")
print("This file willl contain each product_ID Sales_Rank")
print("Considering "+category)
#product_Id Category sales_rank
print("Started")
start = datetime.now()
print(start)
line = ""
filehandle = open("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/categories_rating/"+category+".txt",'a')
with open(filePath, 'r') as fp:
for line in fp:
row = line.split('\t')
productId = row[0]
fileName = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Product_Reviews/"+productId+".txt"
overallRate = 0
counter = 0
try:
with open(fileName, 'r') as filep:
for item in filep:
review = item.split('\t')
overallRate = overallRate + float(review[5])
counter = counter + 1
except IOError as e:
pass
filehandle.write(productId)
filehandle.write("\t")
overallRate = overallRate/counter
overallRate = round(overallRate,4)
filehandle.write(str(overallRate))
filehandle.write("\n")
filehandle.close()
Finished = datetime.now()
done = Finished - start
print("Finished in "+str(round(done.total_seconds()/60,3))+" minutes")
return
def computeMajorityVoteForProductCategoriesWithUserExpert(filePath,category,destDirectory):
print("Procedure to read category File, get a product from it and read its file and compute the average and write to a file for a cetegory file")
print("This file willl contain each product_ID Sales_Rank")
print("Considering "+category)
#product_Id Category sales_rank
print("Started")
start = datetime.now()
print(start)
line = ""
#Load User Expertiese per category
filePathExpertiese = "/research/remote/petabyte/users/yassien/Unique_Products_Stanford_three\UserHelpfulVotesPerCategory/"+category+".txt"
userExpert = dict()
with open(filePathExpertiese, 'r') as fp:
for line in fp:
row = line.split('\t')
userExpert[row[0]] = int(row[1])
filehandle = open(destDirectory+category+".txt",'a')
with open(filePath, 'r') as fp:
for line in fp:
row = line.split('\t')
productId = row[0]
fileName = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Product_Reviews/"+productId+".txt"
overallRate = 0
counter = 0
try:
with open(fileName, 'r') as filep:
for item in filep:
review = item.split('\t')
maxVotes = 0
try:
maxVotes = userExpert[review[0]]
except KeyError as e:
maxVotes = 0
numHelpful = int(review[4])
weight = 0
if maxVotes > 0:
weight = float(numHelpful/maxVotes)
overallRate = overallRate + weight*float(review[5])
counter = counter + 1
except IOError as e:
pass
filehandle.write(productId)