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bsbm_new.py
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bsbm_new.py
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import bs4, logging, sys
def initiateFile(filehandler):
filehandler.write('<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">\n')
filehandler.write('<key id="comment" for="node" attr.name="comment" attr.type="string"/>\n')
filehandler.write('<key id="type" for="node" attr.name="type" attr.type="string"/>\n')
filehandler.write('<key id="_id" for="node" attr.name="identity" attr.type="string"/>\n')
filehandler.write('<key id="homepage" for="node" attr.name="homepage" attr.type="string"/>\n')
filehandler.write('<key id="label_n" for="node" attr.name="label_n" attr.type="string"/>\n')
filehandler.write('<key id="labelV" for="node" attr.name="labelV" attr.type="string"/>\n')
filehandler.write('<key id="labelE" for="edge" attr.name="labelE" attr.type="string"/>\n')
filehandler.write('<key id="label_e" for="edge" attr.name="label_e" attr.type="string"/>\n')
filehandler.write('<key id="country" for="node" attr.name="country" attr.type="string"/>\n')
filehandler.write('<key id="ProductPropertyNumeric_1" for="node" attr.name="ProductPropertyNumeric_1" attr.type="int"/>\n')
filehandler.write('<key id="ProductPropertyNumeric_2" for="node" attr.name="ProductPropertyNumeric_2" attr.type="int"/>\n')
filehandler.write('<key id="ProductPropertyNumeric_3" for="node" attr.name="ProductPropertyNumeric_3" attr.type="int"/>\n')
filehandler.write('<key id="ProductPropertyNumeric_4" for="node" attr.name="ProductPropertyNumeric_4" attr.type="int"/>\n')
filehandler.write('<key id="ProductPropertyNumeric_5" for="node" attr.name="ProductPropertyNumeric_5" attr.type="int"/>\n')
filehandler.write('<key id="ProductPropertyNumeric_6" for="node" attr.name="ProductPropertyNumeric_6" attr.type="int"/>\n')
filehandler.write('<key id="ProductPropertyTextual_1" for="node" attr.name="ProductPropertyTextual_1" attr.type="string"/>\n')
filehandler.write('<key id="ProductPropertyTextual_2" for="node" attr.name="ProductPropertyTextual_2" attr.type="string"/>\n')
filehandler.write('<key id="ProductPropertyTextual_3" for="node" attr.name="ProductPropertyTextual_3" attr.type="string"/>\n')
filehandler.write('<key id="ProductPropertyTextual_4" for="node" attr.name="ProductPropertyTextual_4" attr.type="string"/>\n')
filehandler.write('<key id="ProductPropertyTextual_5" for="node" attr.name="ProductPropertyTextual_5" attr.type="string"/>\n')
filehandler.write('<key id="ProductPropertyTextual_6" for="node" attr.name="ProductPropertyTextual_6" attr.type="string"/>\n')
filehandler.write('<key id="OfferWebPage" for="node" attr.name="OfferWebPage" attr.type="string"/>\n')
filehandler.write('<key id="ValidFrom" for="node" attr.name="ValidFrom" attr.type="string"/>\n')
filehandler.write('<key id="ValidTill" for="node" attr.name="ValidTill" attr.type="string"/>\n')
filehandler.write('<key id="price" for="node" attr.name="price" attr.type="float"/>\n')
filehandler.write('<key id="Delivery Days" for="node" attr.name="Delivery Days" attr.type="int"/>\n')
filehandler.write('<key id="mbox_sha1sum" for="node" attr.name="mbox_sha1sum" attr.type="string"/>\n')
filehandler.write('<key id="rating_1" for="node" attr.name="Rating_1" attr.type="int"/>\n')
filehandler.write('<key id="rating_2" for="node" attr.name="Rating_2" attr.type="int"/>\n')
filehandler.write('<key id="rating_3" for="node" attr.name="Rating_3" attr.type="int"/>\n')
filehandler.write('<key id="rating_4" for="node" attr.name="Rating_4" attr.type="int"/>\n')
filehandler.write('<key id="rating_5" for="node" attr.name="Rating_5" attr.type="int"/>\n')
filehandler.write('<key id="rating_6" for="node" attr.name="Rating_6" attr.type="int"/>\n')
filehandler.write('<key id="productID" for="node" attr.name="productID" attr.type="int"/>\n')
filehandler.write('<key id="productTypeID" for="node" attr.name="productTypeID" attr.type="int"/>\n')
filehandler.write('<key id="reviewerID" for="node" attr.name="reviewerID" attr.type="int"/>\n')
filehandler.write('<key id="reviewID" for="node" attr.name="reviewID" attr.type="int"/>\n')
filehandler.write('<key id="vendorID" for="node" attr.name="vendorID" attr.type="int"/>\n')
filehandler.write('<key id="offerID" for="node" attr.name="offerID" attr.type="int"/>\n')
filehandler.write('<key id="producerID" for="node" attr.name="producerID" attr.type="int"/>\n')
filehandler.write('<key id="productFeatureID" for="node" attr.name="productFeatureID" attr.type="int"/>\n')
filehandler.write('\t<graph id="G" edgedefault="undirected">\n')
def endFile(filehandler):
filehandler.write("\t</graph>\n")
filehandler.write("</graphml>\n")
def writeEdges(filehandler, allEdges, _id):
for each in allEdges:
filehandler.write('\t<edge id="%d" source="%d" target="%d">\n'%(_id, each[0], each[1]))
filehandler.write('\t\t<data key="labelE">%s</data>\n'%(each[2]))
filehandler.write('\t\t<data key="label_e">%s</data>\n'%(each[2]))
filehandler.write('\t</edge>\n')
_id+=1
def writeToFileWithNested(filehandler, data, dataNested, tabIndex):
filehandler.write("\t"*tabIndex + '<node id="%d">\n'% data['_id'])
# filehandler.write("\t"*tabIndex + '<node>\n')
for each in data:
filehandler.write("\t"*(tabIndex+1) + '<data key="%s">%s</data>\n'%(str(each), data[each]))
for mainTag in dataNested:
allData = dataNested[mainTag]
for each in allData:
filehandler.write("\t"*(tabIndex+1) + '<data key="%s_%s">%s</data>\n'%(str(mainTag), str(int(each["nr"])+1), each.text))
filehandler.write("\t"*tabIndex + '</node>\n')
def writeToFile(filehandler, data, tabIndex):
filehandler.write("\t"*tabIndex + '<node id="%d">\n'% data['_id'])
# filehandler.write("\t"*tabIndex + '<node>\n')
for each in data:
filehandler.write("\t"*(tabIndex+1) + '<data key="%s">%s</data>\n'%(str(each), data[each]))
filehandler.write("\t"*tabIndex + '</node>\n')
def foo(filename, graphMLFileName, logger):
allEdges = []
_id = 1
productTypeIdMap = {}
productFeatureIdMap = {}
producerIdMap = {}
productIdMap = {}
vendorIdMap = {}
offerIdMap = {}
personIdMap = {}
reviewIdMap = {}
graphMLFile = open(graphMLFileName, "w")
soup = bs4.BeautifulSoup(open(filename, "r").read())
defaultTabIndex = 2
initiateFile(graphMLFile)
#Making nodes for all producttypes
logger.info("Started Reading all the product type nodes and writing it to the file")
z = soup.findAll(lambda tag:tag.name == "producttype" and
len(tag.attrs) == 1)
for each in z:
label_n = each.find("label").text
comment = each.find("comment").text
pub = each.find("publisher").text
pud = each.find("publishdate").text
productTypeIdMap[each["id"]] = _id
subclass = None
writeToFile(graphMLFile, {'productTypeID':each["id"], '_id':_id, 'labelV' : 'product_type', 'type': 'product_type', 'label_n':label_n , 'comment':comment }, defaultTabIndex)
try:
subclass = each.find("subclassof").text
allEdges.append((int(subclass), _id, "subclass"))
except Exception as e:
logger.debug("Product Type subclass not found")
logger.error(e)
_id+=1
logger.info("Finished Reading Product Type Tags. Total Nodes created in the graph till now = %d" % (_id-1))
logger.info("Finished Reading Product Type Tags. Total Edges created in the graph till now = %d" % len(allEdges))
logger.info("Started Reading all the product Feature nodes and writing it to the file")
z = soup.findAll(lambda tag:tag.name == "productfeature" and
len(tag.attrs) == 1)
for each in z:
label_n = each.find("label").text
comment = each.find("comment").text
pub = each.find("publisher").text
pud = each.find("publishdate").text
productFeatureIdMap[each["id"]] = _id
writeToFile(graphMLFile, {'productFeatureID' : each["id"], '_id':_id, 'labelV':'product_feature', 'type':'product_feature', 'label_n':label_n , 'comment':comment }, defaultTabIndex)
_id+=1
logger.info("Finished Reading Product Feature Tags. Total Nodes created in the graph till now = %d" % (_id-1))
logger.info("Finished Reading Product Feature Tags. Total Edges created in the graph till now = %d" % len(allEdges))
logger.info("Started Reading all the Producer nodes and writing it to the file")
z = soup.findAll(lambda tag:tag.name == "producer" and
len(tag.attrs) == 1)
for each in z:
label_n = each.find("label").text
comment = each.find("comment").text
homepage = each.find("homepage").text
country = each.find("country").text
pub = each.find("publisher").text
pud = each.find("publishdate").text
producerIdMap[each["id"]] = _id
writeToFile(graphMLFile, {'producerID':each["id"], '_id':_id, 'labelV':'producer','type':'producer', 'label_n':label_n , 'comment':comment, 'homepage':homepage, 'country':country }, defaultTabIndex)
_id+=1
logger.info("Finished Reading Producer Tags. Total Nodes created in the graph till now = %d" % (_id-1))
logger.info("Finished Reading Producer Tags. Total Edges created in the graph till now = %d" % len(allEdges))
logger.info("Started Reading all the Product nodes and writing it to the file")
z = soup.findAll(lambda tag:tag.name == "product" and
len(tag.attrs) == 1)
for each in z:
label_n = each.find("label").text
comment = each.find("comment").text
allEdges.append((producerIdMap[each.find("producer").text.strip()], _id, "produces"))
types = each.findAll("type")
for _type in types:
allEdges.append((productTypeIdMap[_type.text.strip()], _id, "isTypeOf"))
features = each.findAll("productfeature")
for _feature in features:
allEdges.append((_id, productFeatureIdMap[_feature.text.strip()],"hasFeature"))
productIdMap[each["id"]] = _id
productPropertyTexts = each.findAll("productpropertytextual")
productPropertyNumeric = each.findAll("productpropertynumeric")
writeToFileWithNested(graphMLFile, {'productID' : each["id"], '_id':_id, 'labelV':'product', 'type':'product', 'label_n':label_n, 'comment':comment} , {'ProductPropertyTextual':productPropertyTexts, 'ProductPropertyNumeric':productPropertyNumeric}, defaultTabIndex)
_id+=1
logger.info("Finished Reading Product Tags. Total Nodes created in the graph till now = %d" % (_id-1))
logger.info("Finished Reading Product Tags. Total Edges created in the graph till now = %d" % len(allEdges))
logger.info("Started Reading all the Vendor nodes and writing it to the file")
z = soup.findAll(lambda tag:tag.name == "vendor" and
len(tag.attrs) == 1)
for each in z:
label_n = each.find("label").text
comment = each.find("comment").text
homepage = each.find("homepage").text
country = each.find("country").text
vendorIdMap[each["id"]] = _id
writeToFile(graphMLFile, {'vendorID':each["id"], '_id':_id, 'labelV':'vendor','type':'vendor', 'label_n':label_n , 'comment':comment, 'homepage':homepage, 'country':country }, defaultTabIndex)
_id+=1
logger.info("Finished Reading Vendor Tags. Total Nodes created in the graph till now = %d" % (_id-1))
logger.info("Finished Reading Vendor Tags. Total Edges created in the graph till now = %d" % len(allEdges))
logger.info("Started Reading all the Offer nodes and writing it to the file")
z = soup.findAll(lambda tag:tag.name == "offer" and
len(tag.attrs) == 1)
for each in z:
price = each.find("price").text
vf = each.findAll("validfrom")[0].text
vt = each.findAll("validfrom")[1].text
dd = each.find("deliverydays")
offerIdMap[each["id"]] = _id
prod = each.find("product").text
vend = each.find("vendor").text
offerWebPage = each.find("offerwebpage").text
allEdges.append((productIdMap[prod], _id, "offeron"))
allEdges.append((vendorIdMap[vend], _id, "offerby"))
writeToFile(graphMLFile, {'offerID':each["id"], '_id':_id, 'labelV':'offer','type':'offer', 'OfferWebPage':offerWebPage , 'price':price, 'DeliveryDays':dd, 'ValidFrom':vf, 'ValidTill':vt }, defaultTabIndex)
_id+=1
logger.info("Finished Reading Offer Tags. Total Nodes created in the graph till now = %d" % (_id-1))
logger.info("Finished Reading Offer Tags. Total Edges created in the graph till now = %d" % len(allEdges))
logger.info("Started Reading all the Reviewer nodes and writing it to the file")
z = soup.findAll(lambda tag:tag.name == "person" and
len(tag.attrs) == 1)
for each in z:
name = each.find("name").text
mbox_sha1sum = each.find("mbox_sha1sum").text
country = each.find("country").text
personIdMap[each["id"]] = _id
writeToFile(graphMLFile, {'reviewerID':each["id"] ,'_id':_id, 'labelV' : 'reviewer', 'type':'reviewer', 'mbox_sha1sum':mbox_sha1sum , 'country':country}, defaultTabIndex)
_id+=1
logger.info("Finished Reading Reviewer Tags. Total Nodes created in the graph till now = %d" % (_id-1))
logger.info("Finished Reading Reviewer Tags. Total Edges created in the graph till now = %d" % len(allEdges))
logger.info("Started Reading all the Review nodes and writing it to the file")
z = soup.findAll(lambda tag:tag.name == "review" and
len(tag.attrs) == 1)
for each in z:
prod = each.find("reviewfor").text
reviewer = each.find("reviewer").text
title = each.find("title").text
textD = each.find("text").text
reviewDate = each.find("reviewdate").text
ratings = each.findAll("rating")
reviewIdMap[each["id"]] = _id
allEdges.append((_id, productIdMap[prod], "reviewfor"))
allEdges.append((personIdMap[reviewer], _id, "reviewby"))
writeToFileWithNested(graphMLFile, {'reviewID': each["id"], '_id':_id, 'labelV' : 'review', 'type':'review', 'title':title, 'text':textD, 'reviewDate':reviewDate} , {'rating':ratings}, defaultTabIndex)
_id+=1
logger.info("Finished Reading Review Tags. Total Nodes created in the graph till now = %d" % (_id-1))
logger.info("Finished Reading Review Tags. Total Edges created in the graph till now = %d" % len(allEdges))
writeEdges(graphMLFile, allEdges, _id)
endFile(graphMLFile)
graphMLFile.close()
if __name__ == "__main__":
logging.basicConfig(filename = "BSBM.log", level = logging.INFO)
logger = logging.getLogger(__name__)
USAGE="""
INCORRECT USAGE
There are three arguments.
The first is the path of the XML file which is generated using BSBM tools.
The second is the path of the GraphML file, which needs to be created when this code is run.
python bsbm.py /path/to/xml/file /path/to/graphml/file
"""
if len(sys.argv)!=3:
print(USAGE)
sys.exit(-10)
foo(sys.argv[1], sys.argv[2], logger)