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analyses.py
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from ctypes import util
from dataclasses import replace
import datetime
from html import entities
from operator import sub
import re
import socket
from string import whitespace
from tabnanny import check
import time
from xml.dom.minidom import Document
from xml.parsers import expat
import json
from rdflib import VOID
import requests
from KnowledgeGraph import KnowledgeGraph
from QualityDimensions.Accuracy import Accuracy
from QualityDimensions.Availability import Availability
from QualityDimensions.Believability import Believability
from QualityDimensions.Completeness import Completeness
from QualityDimensions.Conciseness import Conciseness
from QualityDimensions.Consistency import Consistency
from QualityDimensions.Currency import Currency
from QualityDimensions.Extra import Extra
from QualityDimensions.Interlinking import Interlinking
from QualityDimensions.Interpretability import Interpretability
from QualityDimensions.Licensing import Licensing
from QualityDimensions.Performance import Performance
from QualityDimensions.RepresentationalConciseness import RepresentationalConciseness
from QualityDimensions.RepresentationalConsistency import RepresentationalConsistency
from QualityDimensions.Reputation import Reputation
from QualityDimensions.Security import Security
from QualityDimensions.Understendability import Understendability
from QualityDimensions.Verifiability import Verifiability
from QualityDimensions.Versatility import Versatility
from QualityDimensions.Volatility import Volatility
from Sources import Sources
from bloomfilter import BloomFilter
import utils
from API import Aggregator
from API import LOVAPI
from SPARQLWrapper import *
from SPARQLWrapper import SPARQLExceptions
from urllib.error import HTTPError, URLError
import urllib.request
import query
import numpy
import Graph
import networkx as nx
import VoIDAnalyses
import QualityDimensions.AmountOfData
import ssl
import score
from score import Score
import os
import logging
def analyses(idKG,analysis_date,nameKG):
utils.skipCheckSSL() #IGNORE THE ERROR [SSL: CERTIFICATE_VERIFY_FAILED]
available = False
isHTML = False
absent = False
restricted = False
void = False
internalError = False
queryNotSupported = False
availableDump = '-'
metadata = Aggregator.getDataPackage(idKG)
if nameKG == '':
nameKG = Aggregator.getNameKG(metadata)
accessUrl = Aggregator.getSPARQLEndpoint(idKG)
#Set log format
formatter = logging.Formatter('%(asctime)s | %(levelname)s | %(kg_id)s | %(kg_name)s | %(message)s')
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s | %(levelname)s | %(kg_id)s | %(kg_name)s | %(message)s')
#Set format also for the root logger, to follow the same format also for the log on console
root_logger = logging.getLogger()
root_logger.handlers[0].setFormatter(formatter)
#Logger configuration
logger = logging.getLogger('KG analysis')
logger.setLevel(logging.DEBUG)
#Handler to write log on file
here = os.path.dirname(os.path.abspath(__file__))
save_path = os.path.join(here,'./Analysis results')
save_path = os.path.join(save_path, analysis_date+".log")
file_handler = logging.FileHandler(save_path)
file_handler.setLevel(logging.DEBUG)
file_handler.setFormatter(formatter)
#Handler to write log on console
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.DEBUG)
console_handler.setFormatter(formatter)
logger.handlers = []
logger.addHandler(file_handler)
kg_info = {"kg_id": f"{idKG}", "kg_name" : f"{nameKG}" }
logger.info('Analysis started...',extra=kg_info)
logger.info(f"SPARQL endpoint link: {accessUrl}",extra=kg_info)
endpoint = ''
start_analysis = time.time()
if accessUrl == False: #CHECK IF THE SPARQL END POINT LINK IS IN THE METADATA
endpoint = '-'
logger.warning('SPARQL endpoint missing in the metadata',extra=kg_info)
absent = True
available = False
else:
try:
result = query.checkEndPoint(accessUrl)
if isinstance(result,bytes):
newUrl = utils.checkRedirect(accessUrl) #IF WE GET HTML IN THE RESPONSE, CHECK IF THE ENDPOINT IS NOW AT ANOTHER ADDRESS
result = query.checkEndPoint(newUrl)
if isinstance(result,bytes):
endpoint = '-'
logger.warning('The result from the SPARQL endpoint is not structured data (HTML data returned)',extra=kg_info)
available = False
else:
endpoint = 'Available'
available = True
accessUrl = newUrl
else:
endpoint = 'Available'
available = True
except(HTTPError,URLError,SPARQLExceptions.EndPointNotFound,socket.gaierror) as response: #IF THERE IS ONE OF THESE EXCEPTION, ENDPOINT IS OFFLINE
endpoint = '-'
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
available = False
except SPARQLExceptions.EndPointInternalError as response: #QUERY NOT SUPPORTED
endpoint = '-'
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
except(json.JSONDecodeError, SPARQLExceptions.QueryBadFormed,expat.ExpatError) as response: # NO AUTOMATICALLY (?), Error decoding the response
endpoint = '-'
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
available = False
except(SPARQLExceptions.Unauthorized) as response: #RESTRICTED ACCCESS TO THE ENDPOINT
endpoint = 'Restricted access to the endpoint'
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
available = False
restricted = True
except Exception as error:
logger.warning('Availability | SPARQL endpoint availability | ' + str(error),extra=kg_info)
endpoint = 'offline'
available = False
if available == False and absent == False:
try:
newUrl = utils.checkRedirect(accessUrl) #TEST OF ACCESS TO THE ENDPOINT IN CASE OF REDIRECT ON ADDRESS
if newUrl != accessUrl:
result = query.checkEndPoint(newUrl)
if isinstance(result,Document) or isinstance(result,dict):
accessUrl = newUrl
available = True
endpoint = 'Available'
except(HTTPError,URLError,SPARQLExceptions.EndPointNotFound,socket.gaierror) as response:
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
available = False
except SPARQLExceptions.EndPointInternalError as response:
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
endpoint = '-'
except(json.JSONDecodeError, SPARQLExceptions.QueryBadFormed,expat.ExpatError) as response:
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
endpoint = '-'
available = False
except(SPARQLExceptions.Unauthorized) as response:
endpoint = 'restricted access to the endpoint'
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
available = False
restricted = True
except Exception as error:
logger.warning('Availability | SPARQL endpoint availability | ' + str(error),extra=kg_info)
endpoint = 'offline'
available = False
#GET THE SOURCE OF THE DATASET
sources = Aggregator.getSource(metadata)
if sources == False:
sourcesC = Sources('absent','absent','absent')
else:
sourcesC = Sources(sources.get('web','Absent'),sources.get('name','Absent'),sources.get('email','Absent'))
if available == False and absent == False and sourcesC.web != 'absent': #TRY TO ACCESS AT THE SPARQL ENDPOINT ADDING \sparql AT THE END OF THE DATASET URL
try:
newUrl = sourcesC.web + '/sparql'
result = query.checkEndPoint(newUrl)
if isinstance(result,Document) or isinstance(result,dict):
accessUrl = newUrl
available = True
endpoint = 'Available'
logger.info(f"SPARQL endpoint link: {accessUrl}",extra=kg_info)
except(HTTPError,URLError,SPARQLExceptions.EndPointNotFound,socket.gaierror) as response: #IF THERE IS ONE OF THESE EXCEPTION, ENDPOINT IS OFFLINE
endpoint = '-'
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
available = False
except SPARQLExceptions.EndPointInternalError as response: #QUERY NOT SUPPORTED
endpoint = '-'
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
except(json.JSONDecodeError, SPARQLExceptions.QueryBadFormed,expat.ExpatError) as response: # NO AUTOMATICALLY (?), Error decoding the response
endpoint = '-'
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
available = False
except(SPARQLExceptions.Unauthorized) as response: #RESTRICTED ACCCESS TO THE ENDPOINT
endpoint = 'Restricted access to the endpoint'
logger.warning('Availability | SPARQL endpoint availability | ' + str(response),extra=kg_info)
available = False
restricted = True
except Exception as error:
logger.warning('Availability | SPARQL endpoint availability | ' + str(error),extra=kg_info)
endpoint = 'offline'
available = False
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'SPARQL endpoint availability check','Availability',analysis_date)
#GET NUMBERS OF TRIPLES FROM METADATA
triplesM = Aggregator.getTriples(metadata)
try:
triplesM = int(triplesM)
except ValueError:
triplesM = 0
#GET OTHER RESOURCES OF THE DATASET
resourcesDH = Aggregator.getOtherResources(idKG)
#CHECK THE AVAILABILITY OF THE URL IN THE RESOURCES LIST AND ADDING A FIELD STATUS. STATUS = ACTIVE IF THE URL IS ONLINE, STATUS = OFFLINE IF THE URL IS OFFLINE
resourcesDH = utils.insertAvailability(resourcesDH)
#CHECK AVAILABILITY FOR DOWNLOAD OF THE DATASET
downloadUrl = []
offlineDump = []
availableDownload = utils.checkAvailabilityForDownload(resourcesDH)
downloadUrl = downloadUrl + utils.getLinkDownload(resourcesDH)
offlineDump = offlineDump + utils.getLinkOfflineDump(resourcesDH)
otResources = utils.toObjectResources(resourcesDH) #CREATING A LIST OF RESOURCES OBJECT
metadata_media_type = utils.extract_media_type(resourcesDH)
#CHECK THE AVAILABILITY OF VOID FILE
start_analysis = time.time()
urlV = utils.getUrlVoID(otResources)
voidStatus = ''
void = False
if utils.is_valid_void_url(urlV):
if isinstance(urlV,str):
try:
voidFile = VoIDAnalyses.parseVoID(urlV)
void = True
voidStatus = 'VoID file available'
except:
try:
voidFile = VoIDAnalyses.parseVoIDTtl(urlV)
void = True
voidStatus = 'VoID file available'
except:
void = False
voidStatus = 'VoID file offline'
if void == False and not isinstance(urlV,str) and sourcesC.web != 'absent' and sourcesC.web != 'Absent':
urlV = sourcesC.web + '/.well-known/void'
try:
voidFile = VoIDAnalyses.parseVoID(urlV)
void = True
voidStatus = 'VoID file available'
logger.info(f"VoID file link: {urlV}",extra=kg_info)
except:
try:
voidFile = VoIDAnalyses.parseVoIDTtl(urlV)
void = True
voidStatus = 'VoID file available'
except urllib.error.HTTPError as e:
if e.code == 404:
voidStatus = 'VoID file absent'
else:
void = False
voidStatus = 'VoID file offline'
except urllib.error.URLError as e:
voidStatus = 'VoID file absent'
except Exception as e:
void = False
voidStatus = 'VoID file offline'
if not isinstance(urlV,str):
voidStatus = 'VoID file absent'
else:
voidStatus = 'VoID file absent'
logger.info(f"VoID file link: {urlV}",extra=kg_info)
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'VoID file availability check', 'Availability',analysis_date)
logger.info(f"SPARQL endpoint availability: {available}",extra=kg_info)
if available == True: #IF ENDOPOINT IS ONLINE WE GET ALL NECESSARY INFORMATION FROM THE ENDPOINT
start_analysis = time.time()
#TRY TO GET ALL TRIPLES (IMPORTANT FOR CALCULATING VARIOUS METRICS)
allTriples = []
try:
allTriples = query.getAllTriplesSPO(accessUrl)
except:
logger.warning('Impossible to recover all the triples in the KG',extra=kg_info)
allTriples = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Recovery of all triples', 'Extra',analysis_date)
#GET LATENCY (MIN-MAX-AVERAGE)
try:
start_analysis = time.time()
latency = query.testLatency(accessUrl)
sumLatency = sum(latency)
av = sumLatency/len(latency)
minL = min(latency)
maxL = max(latency)
standardDeviation = numpy.std(latency)
sumLatency = str(sumLatency)
percentile25L = numpy.percentile(latency,25)
percentile75L = numpy.percentile(latency,75)
medianL = numpy.median(latency)
av = "%.3f"%av
av = str(av)
minL = "%.3f"%minL
minL = str(minL)
maxL = "%.3f"%maxL
maxL = str(maxL)
standardDeviation = "%.3f"%standardDeviation
standardDeviation = str(standardDeviation)
sumLatency = sumLatency.replace('.',',')
av = av.replace('.',',')
minL = minL.replace('.',',')
maxL = maxL.replace('.',',')
standardDeviation = standardDeviation.replace('.',',')
percentile25L = "%.3f"%percentile25L
medianL = "%.3f"%medianL
percentile75L = "%.3f"%percentile75L
percentile25L = str(percentile25L)
percentile75L = str(percentile75L)
medianL = str(medianL)
percentile25L = percentile25L.replace('.',',')
percentile75L = percentile75L.replace('.',',')
medianL = medianL.replace('.',',')
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Total latancy measurement', 'Performance',analysis_date)
except urllib.error.HTTPError as response:
logger.warning(f'Performance | Latency | {str(response)}',extra=kg_info)
responseStr = '-'
av = responseStr
minL = responseStr
maxL = responseStr
standardDeviation = responseStr
percentile25L = responseStr
percentile75L = responseStr
medianL = responseStr
except SPARQLExceptions.QueryBadFormed:
logger.warning('Performance | Latency | Query bad formed',extra=kg_info)
responseStr = '-'
av = responseStr
minL = responseStr
maxL = responseStr
standardDeviation = responseStr
percentile25L = responseStr
percentile75L = responseStr
medianL = responseStr
except SPARQLExceptions.EndPointInternalError:
logger.warning('Performance | Latency | SPARQL endpoint internal error',extra=kg_info)
responseStr = '-'
av = responseStr
minL = responseStr
maxL = responseStr
standardDeviation = responseStr
percentile25L = responseStr
percentile75L = responseStr
medianL = responseStr
except Exception as error:
logger.error('Performance | Latency | ' + str(error),extra=kg_info)
responseStr = '-'
av = responseStr
minL = responseStr
maxL = responseStr
standardDeviation = responseStr
percentile25L = responseStr
percentile75L = responseStr
medianL = responseStr
#GET THE TRIPLES WITH A QUERY
start_analysis = time.time()
try:
triplesQuery = query.getNumTripleQuery(accessUrl)
except urllib.error.HTTPError as response:
logger.warning(f'Error while counting the number of triples: {str(response)}',extra=kg_info)
triplesQuery = '-'
except(SPARQLExceptions.QueryBadFormed,SPARQLExceptions.EndPointInternalError) as response:
logger.warning(f'Error while counting the number of triples: {str(response)}',extra=kg_info)
triplesQuery = '-'
except Exception as error:
logger.warning(f'Error while counting the number of triples: {str(error)}',extra=kg_info)
triplesQuery = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Number of triples check', 'Amount of data',analysis_date)
#CHECK IF RESULTS FROM SPARQL ENDPOINT IS LIMITED
if isinstance(allTriples,list) and isinstance(triplesQuery,int):
if len(allTriples) < triplesQuery:
limited = True
logger.warning(f'The number of triples that can be retrieved from the sparql endpoint is limited',extra=kg_info)
else:
limited = False
else:
limited = 'impossible to verify'
#CHECK IF NEW TERMS ARE DECLARED IN THE DATASET
newTermsD = []
triplesO = []
try:
start_analysis = time.time()
objectList = []
triplesO = query.getAllTypeO(accessUrl)
newTermsD = LOVAPI.searchTermsList(triplesO)
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'New terms check', 'Interoperability',analysis_date)
except Exception as error:
logger.warning(f'Representational-consistency | Reuse of terms | {str(error)}',extra=kg_info)
newTermsD = '-'
#GET THE LANGUAGE OF KG
start_analysis = time.time()
try:
languages = query.getLangugeSupported(accessUrl)
except urllib.error.HTTPError as response:
languages = response
except (SPARQLExceptions.QueryBadFormed,SPARQLExceptions.EndPointNotFound) as response:
logger.warning(f'Versatility | Languages | Query not supported or endpoint not found',extra=kg_info)
languages = '-'
except Exception as error:
logger.warning(f'Versatility | Languages | {str(error)}',extra=kg_info)
languages = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Languages check','Versatility',analysis_date)
#GET THE NUMBER OF THE BLANK NODE
start_analysis = time.time()
try:
numBlankNode = query.numBlankNode(accessUrl)
except urllib.error.HTTPError as response:
logger.warning(f'Interpretability | Number of blank nodes | HTTP error',extra=kg_info)
numBlankNode = '-'
except (SPARQLExceptions.QueryBadFormed,SPARQLExceptions.EndPointInternalError) as response:
logger.warning(f'Interpretability | Number of blank nodes | {str(response)}',extra=kg_info)
numBlankNode = '-'
except Exception as error:
logger.warning(f'Interpretability | Number of blank nodes | {str(error)}',extra=kg_info)
numBlankNode = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Number of blank nodes check', 'Interpretability',analysis_date)
#CHECK IF SPARQL ENDPOINT USE HTTPS
try:
start_analysis = time.time()
sec_access_url = accessUrl.replace('http','https')
isSecure = query.checkEndPoint(sec_access_url)
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Check HTTPS', 'Security',analysis_date)
if isinstance(isSecure,Document) or isinstance(isSecure,dict):
isSecure = True
except: #IF WE GET A SPARQL QUERY ON URL WITH HTTPS AND GET AN EXCEPTION THEN ENDPOINT ISN'T AVAILABLE ON HTTPS
isSecure = False
#CHECK IF IT USES RDF STRUCTURES
start_analysis = time.time()
try:
RDFStructures = query.checkRDFDataStructures(accessUrl)
except Exception as error:
logger.warning(f'Representational-conciseness | Use of RDF structures | {str(error)}',extra=kg_info)
RDFStructures = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'RDF structures check','Interpretability',analysis_date)
#CHECK IF THERE ARE DIFFERENT SERIALISATION FORMATS
start_analysis = time.time()
try:
formats = query.checkSerialisationFormat(accessUrl) #CHECK IF THE LINK IS ONLINE
except Exception as error:
logger.warning(f'Versatility | Serialization formats | {str(error)}',extra=kg_info)
formats = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Serialization formats check', 'Versatility',analysis_date)
#CHECK FOR DOWNLOAD LINKS FOR THE DATASET WITH DCAT PREDICATE
dcat_links = []
try:
other_download_links = query.get_download_link(accessUrl)
for link in other_download_links:
status = utils.checkAvailabilityResource(link)
if status == True:
dcat_links.append(link)
except Exception as error:
logger.warning('Versatility | Languages | Download links, error during query with the dcat:downloadURL predicate',extra=kg_info)
#CHECK IF IN THE DATASET IS INDICATED THE LINK TO DONWLOAD THE DATASET
start_analysis = time.time()
try:
urlList = query.checkDataDump(accessUrl)
if isinstance(urlList,list):
availableDump = utils.checkAvailabilityListResources(urlList)
urlsDump = utils.getActiveDumps(urlList)
urlsInactive = utils.getInactiveDumps(urlList)
downloadUrl = downloadUrl + urlsDump
offlineDump = offlineDump + urlsInactive
else:
availableDump = 'absent'
except Exception as error:
logger.warning(f'Availability | RDF dump| {str(error)}',extra=kg_info)
availableDump = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'RDF dump link check','Availability',analysis_date)
#CHEK IF THERE IS AN INDICATION OF A LICENSE MACHINE REDEABLE
start_analysis = time.time()
try:
licenseMr = query.checkLicenseMR2(accessUrl)
if isinstance(licenseMr,list):
licenseMr = licenseMr[0]
except Exception as error:
licenseMr = '-'
logger.warning(f'Licensing | Machine-redeable license | {str(error)}',extra=kg_info)
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'MR license check','License',analysis_date)
#CHECK IF THERE IS AN INDICATION OF A LICENSE HUMAN REDEABLE
start_analysis = time.time()
try:
licenseHr = query.checkLicenseHR(accessUrl)
except (SPARQLExceptions.QueryBadFormed,SPARQLExceptions.EndPointInternalError) as response:
licenseHr = '-'
logger.warning(f'Licensing | Human-redeable license | {str(response)}',extra=kg_info)
except Exception as error:
licenseHr = '-'
logger.warning(f'Licensing | Human-redeable license | {str(error)}',extra=kg_info)
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'HR license check', 'License',analysis_date)
#CHECK NUMBER OF PROPERTY
start_analysis = time.time()
try:
numProperty = query.numberOfProperty(accessUrl)
except Exception as error:
numProperty = '-'
logger.warning(f'Amount of data | Number of properties | {str(error)}',extra=kg_info)
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Number of property check','Amount of data',analysis_date)
#GET NUMBER OF TRIPLES WITH LABEL
start_analysis = time.time()
try:
numLabel = query.getNumLabel(accessUrl)
except Exception as error:
numLabel = '-'
logger.warning(f'Amount of data | Number of labels | {str(error)}',extra=kg_info)
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Number of label check','Understandability',analysis_date)
#GET THE REGEX OF THE URLs USED
start_analysis = time.time()
regex = []
try:
regex = query.checkUriRegex(accessUrl)
except Exception as error:
logger.warning(f'Understandability | URIs regex | {str(error)}',extra=kg_info)
regex = '-'
#CHECK IF IS INDICATED A URI SPACE INSTEAD OF A REGEX AND WE TRAFORM IT TO REGEX
try:
pattern = query.checkUriPattern(accessUrl)
if isinstance(pattern,list):
for i in range(len(pattern)):
newRegex = utils.trasforrmToRegex(pattern[i])
regex.append(newRegex)
except Exception as error:
logger.warning(f'Understandability | URIs regex | {str(error)}',extra=kg_info)
pattern = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'URI regex check', 'Understandability',analysis_date)
#GET THE VOCABULARIES OF THE KG
start_analysis = time.time()
try:
vocabularies = query.getVocabularies(accessUrl)
except Exception as error:
logger.warning(f'Understandability | Vocabularies | {str(error)}',extra=kg_info)
vocabularies = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Vocabs check', 'Understandability',analysis_date)
#GET THE AUTHOR OF THE DATASET WITH A QUERY
start_analysis = time.time()
try:
authorQ = query.getCreator(accessUrl)
except Exception as error:
logger.warning(f'Verifiability | Verifiying publisher information | {str(error)}',extra=kg_info)
authorQ = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Authors check', 'Verifiability',analysis_date)
#GET THE PUBLISHERS OF THE DATASET
start_analysis = time.time()
try:
publisher = query.getPublisher(accessUrl)
except Exception as error:
publisher = '-'
logger.warning(f'Verifiability | Verifiying publisher information | {str(error)}',extra=kg_info)
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Publishers check', 'Verifiability',analysis_date)
#GET THE THROUGHPUT
try:
start_analysis = time.time()
countList = utils.getThroughput(accessUrl)
minThroughput = min(countList)
maxThroughput = max(countList)
sumThroughput = sum(countList)
averageThroughput = sumThroughput/len(countList)
standardDeviationT = numpy.std(countList)
percentile25T = numpy.percentile(countList,25)
percentile75T = numpy.percentile(countList,75)
medianT = numpy.median(countList)
percentile25T = str(percentile25T)
percentile25T = percentile25T.replace('.',',')
percentile75T = str(percentile75T)
percentile75T = percentile75T.replace('.',',')
medianT = str(medianT)
medianT = medianT.replace('.',',')
standardDeviationT = str(standardDeviationT)
standardDeviationT = standardDeviationT.replace('.',',')
averageThroughput = str(averageThroughput)
averageThroughput = averageThroughput.replace('.',',')
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Throughput check', 'Performance',analysis_date)
except Exception as error:
logger.warning(f'Performance | High Throughput | {str(error)}',extra=kg_info)
errorResponse = '-'
minThroughput = errorResponse
maxThroughput = errorResponse
averageThroughput = errorResponse
standardDeviationT = errorResponse
percentile25T = errorResponse
percentile75T = errorResponse
medianT = errorResponse
#GET THE THROUGHPUT NO OFFSET
try:
countListNoOff = utils.getThroughputNoOff(accessUrl)
minThroughputNoOff = min(countListNoOff)
maxThroughputNoOff = max(countListNoOff)
sumThroughputNoOff = sum(countListNoOff)
averageThroughputNoOff = sumThroughput/len(countListNoOff)
standardDeviationTNoOff = numpy.std(countListNoOff)
standardDeviationTNoOff = str(standardDeviationT)
standardDeviationTNoOff = standardDeviationT.replace('.',',')
averageThroughputNoOff = str(averageThroughput)
averageThroughputNoOff = averageThroughput.replace('.',',')
except Exception as error:
logger.warning(f'Performance | High Throughput | {str(error)}',extra=kg_info)
errorResponseNoOff = '-'
minThroughputNoOff = errorResponseNoOff
maxThroughputNoOff = errorResponseNoOff
averageThroughputNoOff = errorResponseNoOff
standardDeviationTNoOff = errorResponseNoOff
#GET NUMBER OF ENTITIES
start_analysis = time.time()
try:
numEntities = query.getNumEntities(accessUrl)
except Exception as error:
logger.warning(f'Amount of data | Scope | {str(error)}',extra=kg_info)
numEntities = '-'
#GET NUMBER OF ENTITIES WITH REGEX
try:
if len(regex) > 0:
entitiesRe = 0
for i in range(len(regex)):
entitiesRe = entitiesRe + query.getNumEntitiesRegex(accessUrl,regex[i])
else:
entitiesRe = '-'
logger.warning(f'Amount of data | Scope | Insufficient data',extra=kg_info)
except Exception as error:
logger.warning(f'Amount of data | Scope | {str(error)}',extra=kg_info)
etitiesRe = '-'
if not(isinstance(entitiesRe,int)) or entitiesRe == 0: #IF CONTROL WITH SPARQL ENDPOINT FAILS WE COUNT THE ENTITY BY RECOVERING ALL THE TRIPLES
try:
start_analysis = time.time()
if isinstance(allTriples,list) and isinstance(regex,list):
if len(regex) > 0:
entitiesRe = 0
for i in range(len(regex)):
r = regex[i]
for j in range(len(allTriples)):
s = allTriples[j].get('s')
valueS = s.get('value')
if utils.checkString(r,valueS) == True:
entitiesRe = entitiesRe + 1
entitiesRe = str(entitiesRe)
entitiesRe = entitiesRe + f" (out of {len(allTriples )} triples considered)"
else:
logger.warning(f'Amount of data | Scope | Insufficient data',extra=kg_info)
entitiesRe = '-'
else:
entitiesRe = '-'
logger.warning(f'Amount of data | Scope | Insufficient data',extra=kg_info)
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Check the number of entities', 'Amount of data',analysis_date)
except Exception as error:
logger.warning(f'Amount of data | Scope | {str(error)}',extra=kg_info)
entitiesRe = '-'
#GET THE CONTRIBUTORS OF THE DATASET
start_analysis = time.time()
try:
contributors = query.getContributors(accessUrl)
except Exception as error:
logger.warning(f'Verifiability | Verifiying publisher information | {str(error)}',extra=kg_info)
contributors = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Contribs. check', 'Verifiability',analysis_date)
#GET THE NUMBER OF sameAs CHAINS
start_analysis = time.time()
try:
numberSameAs = query.getSameAsChains(accessUrl)
except Exception as error:
logger.warning(f'Interlinking | sameAs chains | {str(error)}',extra=kg_info)
numberSameAs = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'sameAs chians check', 'Interlinking',analysis_date)
#GET THE NUMBER OF SKOS-Mapping properties
start_analysis = time.time()
try:
numberSkosMapping = query.getSkosMapping(accessUrl)
except Exception as error:
logger.warning(f'Interlinking | SKOS Mapping properties | {str(error)}',extra=kg_info)
numberSkosMapping = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'skos check', 'Interlinking',analysis_date)
#GET THE NUMBER OF SKOS-Mapping properties
start_analysis = time.time()
try:
numberSkosMapping = query.getSkosMapping(accessUrl)
except Exception as error:
logger.warning(f'Interlinking | SKOS Mapping properties | {str(error)}',extra=kg_info)
numberSkosMapping = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'skos check', 'Interlinking',analysis_date)
#GET THE DATASET UPDATE FREQUENCY
start_analysis = time.time()
try:
frequency = query.getFrequency(accessUrl)
except Exception as error:
logger.warning(f'Volatility | Timeliness frequency | {str(error)}',extra=kg_info)
frequency = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'dataset update frequency check', 'Timeliness',analysis_date)
#GET THE CREATION DATE
start_analysis = time.time()
try:
creationDate = query.getCreationDateMin(accessUrl)
if creationDate == False or creationDate == '':
creationDate = query.getCreationDate(accessUrl)
except:
try:
creationDate = query.getCreationDate(accessUrl)
except Exception as error:
logger.warning(f'Currency | Age of data | {str(error)}',extra=kg_info)
creationDate = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Creation date check', 'Currency',analysis_date)
#GET THE LAST MODIFICATION DATE OF THE DATASET
start_analysis = time.time()
try:
modificationDate = query.getModificationDateMax(accessUrl)
if modificationDate == False or modificationDate == '':
modificationDate = query.getModificationDate(accessUrl)
except:
try:
modificationDate = query.getModificationDate(accessUrl)
except Exception as error:
logger.warning(f'Currency | Specification of the modification date of statements | {error}',extra=kg_info)
modificationDate = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Modification date check', 'Currency',analysis_date)
#GET HISTORICAL UPDATES
historicalUp = []
try:
historicalUp = []
dateUpdates = query.getDateUpdates(accessUrl)
if isinstance(dateUpdates,list):
newL = list(set(dateUpdates))
newL.sort(key=lambda date: datetime.datetime.strptime(date,"%Y-%m-%d"))
for i in newL:
i = str(i)
num = query.getNumUpdatedData(accessUrl,i)
valueUp = f"{i}|{num}"
valueUp = valueUp.strip()
historicalUp.append(valueUp)
except Exception as error:
logger.warning(f'Currency | Update history | {str(error)}',extra=kg_info)
historicalUp = '-'
#GET THE NUMBER OF TRIPLES UPDATED
try:
numTriplesUpdated = query.getNumUpdatedData(accessUrl,modificationDate)
except Exception as error:
logger.warning(f'Currency | Number of triples updated | {str(error)}',extra=kg_info)
numTriplesUpdated = '-'
#URI LENGHT CALCULATION (SUBJECT)
start_analysis = time.time()
try:
lenghtList = []
logger.info(f'Calculating the URIs length...',extra=kg_info)
for i in range(len(allTriples)):
s = allTriples[i].get('s')
uri = s.get('value')
if utils.validateURI(uri) == True:
lenghtList.append(len(uri))
sumLenghts = sum(lenghtList)
avLenghts = sumLenghts/len(lenghtList)
avLenghts = str(avLenghts)
avLenghts = avLenghts.replace('.',',')
avLenghts = avLenghts + f" (out of {len(allTriples)} triples considered)"
standardDeviationL = numpy.std(lenghtList)
standardDeviationL = str(standardDeviationL)
standardDeviationL = standardDeviationL.replace('.',',')
minLenghtS = min(lenghtList)
maxLenghtS = max(lenghtList)
medianLenghtS = numpy.median(lenghtList)
percentile25LenghtS = numpy.percentile(lenghtList,25)
percentile75LenghtS = numpy.percentile(lenghtList,75)
minLenghtS = str(minLenghtS)
maxLenghtS = str(maxLenghtS)
medianLenghtS = str(medianLenghtS)
percentile25LenghtS = str(percentile25LenghtS)
percentile75LenghtS = str(percentile75LenghtS)
minLenghtS = minLenghtS.replace('.',',')
maxLenghtS = maxLenghtS.replace('.',',')
medianLenghtS = medianLenghtS.replace('.',',')
percentile25LenghtS = percentile25LenghtS.replace('.',',')
percentile75LenghtS = percentile75LenghtS.replace('.',',')
except Exception as error:
logger.warning(f'Representational-conciseness | Keeping URI short | {str(error)}',extra=kg_info)
errorMessage = '-'
standardDeviationL = errorMessage
avLenghts = errorMessage
minLenghtS = errorMessage
maxLenghtS = errorMessage
medianLenghtS = errorMessage
percentile25LenghtS = errorMessage
percentile75LenghtS = errorMessage
#URI LENGHT CALCULATION (OBJECT)
allUri = []
try:
uriListO = query.getAllObject(accessUrl)
lenghtListO = []
for i in range(len(uriListO)):
uriO = uriListO[i]
if utils.validateURI(uriO) == True:
lenghtListO.append(len(uriO))
sumLenghtsO = sum(lenghtListO)
avLenghtsO = sumLenghtsO/len(lenghtListO)
avLenghtsO = str(avLenghtsO)
avLenghtsO = avLenghtsO.replace('.',',')
avLenghtsO = avLenghtsO+f" (out of {len(uriListO)} triples considered)"
standardDeviationLO = numpy.std(lenghtListO)
standardDeviationLO = str(standardDeviationLO)
standardDeviationLO = standardDeviationLO.replace('.',',')
minLenghtO = min(lenghtListO)
maxLenghtO = max(lenghtListO)
medianLenghtO = numpy.median(lenghtListO)
percentile25LenghtO = numpy.percentile(lenghtListO,25)
percentile75LenghtO = numpy.percentile(lenghtListO,75)
minLenghtO = str(minLenghtO)
maxLenghtO = str(maxLenghtO)
medianLenghtO = str(medianLenghtO)
percentile25LenghtO = str(percentile25LenghtO)
percentile75LenghtO = str(percentile75LenghtO)
minLenghtO = minLenghtO.replace('.',',')
maxLenghtO = maxLenghtO.replace('.',',')
medianLenghtO = medianLenghtO.replace('.',',')
percentile25LenghtO = percentile25LenghtO.replace('.',',')
percentile75LenghtO = percentile75LenghtO.replace('.',',')
except Exception as error:
logger.warning(f'Representational-conciseness | Keeping URI short | {str(error)}',extra=kg_info)
errorMessage = '-'
uriListO = errorMessage
avLenghtsO = errorMessage
standardDeviationLO = errorMessage
minLenghtO = errorMessage
maxLenghtO = errorMessage
medianLenghtO = errorMessage
percentile25LenghtO = errorMessage
percentile75LenghtO = errorMessage
#URI LENGHT CALCULATION (PREDICATE)
try:
uriListP = query.getAllPredicate2(accessUrl)
lenghtListP = []
for i in range(len(uriListP)):
uriP = uriListP[i]
if utils.validateURI(uriP) == True:
lenghtListP.append(len(uriP))
sumLenghtsP = sum(lenghtListP)
avLenghtsP = sumLenghtsP/len(lenghtListP)
avLenghtsP = str(avLenghtsP)
avLenghtsP = avLenghtsP.replace('.',',')
avLenghtsP = avLenghtsP+f" (out of {len(uriListP)} triples considered)"
standardDeviationLP = numpy.std(lenghtListP)
standardDeviationLP = str(standardDeviationLP)
standardDeviationLP = standardDeviationLP.replace('.',',')
minLenghtP = min(lenghtListP)
maxLenghtP = max(lenghtListP)
medianLenghtP = numpy.median(lenghtListP)
percentile25LenghtP = numpy.percentile(lenghtListP,25)
percentile75LenghtP = numpy.percentile(lenghtListP,75)
minLenghtP = str(minLenghtP)
maxLenghtP = str(maxLenghtP)
medianLenghtP = str(medianLenghtP)
percentile25LenghtP = str(percentile25LenghtP)
percentile75LenghtP = str(percentile75LenghtP)
minLenghtP = minLenghtP.replace('.',',')
maxLenghtP = maxLenghtP.replace('.',',')
medianLenghtP = medianLenghtP.replace('.',',')
percentile25LenghtP = percentile25LenghtP.replace('.',',')
percentile75LenghtP = percentile75LenghtP.replace('.',',')
except Exception as error:
logger.warning(f'Representational-conciseness | Keeping URI short | {str(error)}',extra=kg_info)
errorMessage = '-'
uriListP = errorMessage
avLenghtsP = errorMessage
standardDeviationLP = errorMessage
minLenghtP = errorMessage
maxLenghtP = errorMessage
medianLenghtP = errorMessage
percentile25LenghtP = errorMessage
percentile75LenghtP = errorMessage
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'URIs length', 'Rep.Conc.',analysis_date)
#A LIST OF ALL URIs IS REQUIRED TO CALCULATE THE SCORE
if isinstance(allTriples,list) and isinstance(uriListP,list) and isinstance(uriListO,list):
uriListS = []
for i in range(len(allTriples)):
s = allTriples[i].get('s')
uri = s.get('value')
uriListS.append(uri)
allUri = uriListO + uriListP + uriListS
#CHECK IF EXISTING VOCABULARIES ARE RE-USED IN THE DATASET
try:
start_analysis = time.time()
newVocab = []
if isinstance(vocabularies,list):
for i in range(len(vocabularies)):
vocab = vocabularies[i]
result = LOVAPI.findVocabulary(vocab)
if result == False:
newVocab.append(vocab)
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'New vocabularies check','Interoperability',analysis_date)
except Exception as error:
logger.warning(f'Representational-consistency | re-use of existing terms | {str(error)}',extra=kg_info)
newVocab = '-'
#CHECK USE OF DEPRECATED CLASSES AND PROPERTIES
start_analysis = time.time()
try:
deprecated = query.getDeprecated(accessUrl)
except Exception as error:
logger.warning(f'Consistency| Use of members of deprecated classes or properties| {str(error)}',extra=kg_info)
deprecated = '-'
end_analysis = time.time()
utils.write_time(nameKG,end_analysis-start_analysis,'Deprecated classes/propertiers check', 'Consistency',analysis_date)
#CHECK FOR FUNCTIONAL PROPERTIES WITH INCONSISTENT VALUE
try:
start_analysis = time.time()
violationFP = []