def processOntodict(ontodict, ontopath, mtype): log("Call to processOntodict() with ontopath: " + ontopath) import owlready2 onto = owlready2.get_ontology("file://" + ontopath) onto.load() #class Concept(Thing): # namespace = onto #class Document(Thing): # namespace = onto clases = ontodict['clases'] concepts = ontodict['concepts'] if mtype == 1: log("Generating clases...") for classkey, classelem in clases.items(): ontoclass = classkey.title() with onto: NewClass = owlready2.types.new_class(ontoclass, (onto.Concept, ), kwds={}) for elem in classelem: NewClass(elem.lower()) for concept in concepts: docid = concept[1] conceptname = concept[0] with onto: currentDocumentSearch = onto.search(iri=onto.base_iri + str(docid)) if len(currentDocumentSearch) > 0: currentDocument = currentDocumentSearch[0] else: currentDocument = onto.Document(docid) currentConceptSearch = onto.search(iri=onto.base_iri + conceptname.lower()) if len(currentConceptSearch): currentConcept = currentConceptSearch[0] else: currentConcept = onto.Concept(conceptname.lower()) currentDocument.documentHasConcept.append(currentConcept) currentConcept.conceptInDocument.append(currentDocument) onto_file = open(ontopath, 'wb+') try: onto.save(file=onto_file, format="rdfxml") log("Saved file to path " + ontopath) onto_file.close() log("Call to destroy ontolgy: " + ontopath) onto.destroy() del onto del owlready2 return True except: log("Error saving ontology, destroying object: " + ontopath) onto.destroy() del onto del owlready2 return False
def getVersion(): db = connect() cursor = db.cursor() cursor.execute("SELECT VERSION()") data = cursor.fetchone() api_log.log("Database version : %s " % data) db.close() return data
def _getText(filename): decoded = "" try: text = textract.process(filename) decoded = text.decode("utf-8") except: log("Could not read document content: " + filename) return decoded
def annotateDocumentsInPath(path, ontopath): log("Call to annotateDocumentsInPath()") from nltk.tag import StanfordPOSTagger import coruja_database os.environ["STANFORD_MODELS"] = os.path.join( os.path.dirname(__file__), 'scpDocs/stanford-postagger-full-2017-06-09/models') lemmaDict = pd.read_pickle( os.path.join(os.path.dirname(__file__), 'lemmatization-es.pkl')) lemmaDict.columns = ["lemma", "token"] maxWordDistance = 2 spanish_postagger = StanfordPOSTagger( 'spanish.tagger', os.path.join( os.path.dirname(__file__), 'scpDocs/stanford-postagger-full-2017-06-09/stanford-postagger.jar' )) posTagDescDf = pd.read_csv( os.path.join(os.path.dirname(__file__), "Stanford_POS_Tags.csv")) files = [f for f in os.listdir(path) if os.path.isfile(path + "/" + f)] files = filter(lambda f: f.endswith(('.pdf', '.PDF')), files) status = {} ontoDict = {} for file in files: filepath = path + "/" + file log("Procesing " + filepath) docid = coruja_database.insertDocument(path + "/", file) processDocument(docid, filepath, ontoDict, maxWordDistance, posTagDescDf, spanish_postagger, lemmaDict) status[filepath] = 1 allCount = len(ontoDict) tenPCount = math.trunc(0.1 * allCount) countList = [] ontoDictFinal = {"clases": {}, "concepts": set([])} for key, element in ontoDict.items(): countList.append((element["count"], key)) ontoDictFinal["concepts"].add((key, element["docid"])) mainConcepts = sorted(countList, reverse=True)[:tenPCount] for mainConcept in mainConcepts: validNeighbor = [] neighborCount = len(ontoDict[mainConcept[1]]["neighbors"]) neighborTenPCount = math.trunc(0.5 * neighborCount) closeNeighbors = sorted( ontoDict[mainConcept[1]]["neighbors"])[:neighborTenPCount] for neighbor in closeNeighbors: if neighbor != mainConcept[1]: if ontoDict[mainConcept[1]]["neighbors"][neighbor] > 1: validNeighbor.append(neighbor) if len(validNeighbor) > 0: ontoDictFinal["clases"][mainConcept[1]] = set(validNeighbor) processOntodict(ontoDictFinal, ontopath, 1) return status
def getActiveOntologies(): db = connect() cursor = db.cursor() ontofiles = [] try: cursor.execute("SELECT * FROM `ontologia` WHERE Bo_OntEstado = 1") results = cursor.fetchall() for row in results: file = row[2] path = row[3] ontofile = path + file ontofiles.append(ontofile) # Now print fetched result api_log.log("Active ontology: " + ontofile) except MySQLError as e: api_log.log("Error: unable to fetch data") db.close() return ontofiles
def createBaseOntology(filename, filepath): import coruja_database ontofileName = config.OntologyNamespace + filename + ".owl" import owlready2 onto = owlready2.get_ontology(ontofileName) log("Creating ontology " + ontofileName) class Document(owlready2.Thing): namespace = onto class Concept(owlready2.Thing): namespace = onto class documentHasConcept(owlready2.ObjectProperty): namespace = onto domain = [Document] range = [Concept] class conceptInDocument(owlready2.ObjectProperty): namespace = onto domain = [Concept] range = [Document] inverse_property = documentHasConcept # class hasId(DataProperty,FunctionalProperty): # namespace = onto # domain = [Document] # range = [int] filenameOwl = filename + ".owl" uri = config.OntologyNamespace onto_file = open(filepath + filenameOwl, 'wb+') onto.save(file=onto_file, format="rdfxml") coruja_database.insertOntology(uri, filenameOwl, filepath) try: log("Trying to destroy: " + onto.base_iri) onto.destroy() del onto except: log("Can't destroy ontology") return onto_file.name, filenameOwl, uri
def getOntology(ontoId): db = connect() cursor = db.cursor() ontofile = "" try: sql = "SELECT * FROM `ontologia` WHERE id_ontologia = %s" cursor.execute(sql, (ontoId, )) result = cursor.fetchone() if result != None: file = result[2] path = result[3] ontofile = path + file api_log.log("Got ontology: " + ontofile) else: api_log.log("Wrong ontology id: " + ontoId) return "" except MySQLError as e: api_log.log("Error: unable to fetch data") db.close() return ontofile
def __init__(self, http_code=500, log=None, log_level='ERROR', message=''): super(APIException, self).__init__(message) self._http_code = http_code if log is not None: api_log.log(message=log, level=log_level)
def updateConcepts(docId, ontoId, concepts): log("Call to updateConcepts()") import coruja_database ontopath = coruja_database.getOntology(str(ontoId)) import owlready2 owlready2.default_world.ontologies.clear() onto = owlready2.get_ontology("file://" + ontopath) log("updateConcepts(): Onto world debug after load: " + str(onto.world.ontologies)) try: onto.load() log("updateConcepts(): Load ontology " + ontopath) except: log("updateConcepts(): Error loading ontology " + ontopath) return 0 log("updateConcepts(): Onto world debug: " + str(onto.world.ontologies)) log("updateConcepts(): Searching for " + onto.base_iri + str(docId)) status = 1 result = onto.search(iri=onto.base_iri + str(docId)) if (len(result) > 0): document = result[0] ontoConcepts = document.documentHasConcept keepConcepts = [] if len(ontoConcepts) > 0: for concept in ontoConcepts: if concept.name in concepts: keepConcepts.append(concept) else: log("updateConcepts(): Deleting concept: " + concept.name) document.documentHasConcept = keepConcepts else: log("updateConcepts(): No concepts found") status = 0 else: status = 0 log("updateConcepts(): Document not found id=" + str(docId)) if status == 1: try: onto_file = open(ontopath, 'wb+') #onto.save(file=ontopath, format="rdfxml") onto.save(file=onto_file, format="rdfxml") onto_file.flush() onto_file.close() del onto_file log("updateConcepts(): Saved ontology to " + ontopath) except: log("updateConcepts(): Error saving ontology " + ontopath) status = 0 else: log("updateConcepts(): Empty ontology loaded " + ontopath) try: log("updateConcepts(): Destroying ontology " + onto.base_iri) onto.destroy() del onto del owlready2 except: log("updateConcepts(): Error destroying ontology:" + onto.base_iri) gc.collect() return status
def annotateDocumentsInList(docList, ontoId, mtype): log("Call to annotateDocumentsInPath() type = " + str(mtype)) import coruja_database ontopath = coruja_database.getOntology(ontoId) status = [] if ontopath == "": for doc in docList: curr_status = {} curr_status["id"] = doc['id'] curr_status["status"] = 0 status.append(curr_status) return status from nltk.tag import StanfordPOSTagger os.environ["STANFORD_MODELS"] = os.path.join( os.path.dirname(__file__), 'scpDocs/stanford-postagger-full-2017-06-09/models') lemmaDict = pd.read_pickle( os.path.join(os.path.dirname(__file__), 'lemmatization-es.pkl')) lemmaDict.columns = ["lemma", "token"] maxWordDistance = 2 spanish_postagger = StanfordPOSTagger( 'spanish.tagger', os.path.join( os.path.dirname(__file__), 'scpDocs/stanford-postagger-full-2017-06-09/stanford-postagger.jar' )) posTagDescDf = pd.read_csv( os.path.join(os.path.dirname(__file__), "Stanford_POS_Tags.csv")) ontoDict = {} for doc in docList: filepath = doc['path'] docid = doc['id'] log("Procesing " + filepath) processDocument(docid, filepath, ontoDict, maxWordDistance, posTagDescDf, spanish_postagger, lemmaDict) curr_status = {} curr_status["id"] = doc['id'] curr_status["status"] = 1 status.append(curr_status) allCount = len(ontoDict) tenPCount = math.trunc(0.1 * allCount) countList = [] ontoDictFinal = {"clases": {}, "concepts": set([])} for key, element in ontoDict.items(): countList.append((element["count"], key)) ontoDictFinal["concepts"].add((key, element["docid"])) mainConcepts = sorted(countList, reverse=True)[:tenPCount] for mainConcept in mainConcepts: validNeighbor = [] neighborCount = len(ontoDict[mainConcept[1]]["neighbors"]) neighborTenPCount = math.trunc(0.5 * neighborCount) closeNeighbors = sorted( ontoDict[mainConcept[1]]["neighbors"])[:neighborTenPCount] for neighbor in closeNeighbors: if neighbor != mainConcept[1]: if ontoDict[mainConcept[1]]["neighbors"][neighbor] > 1: validNeighbor.append(neighbor) if len(validNeighbor) > 0: ontoDictFinal["clases"][mainConcept[1]] = set(validNeighbor) processOntodict(ontoDictFinal, ontopath, mtype) log("Returning annotation status - finished annotation process") return status
def getConcepts(documentId, ontoId): import coruja_database import time log("Call to getConcepts(): docid = " + str(documentId) + " - ontid = " + str(ontoId)) result = [] ontopath = coruja_database.getOntology(str(ontoId)) #Read temp file tmpFilename = config.OntologyDir + str(int(time.time())) + "_tmp.owl" copyfile(ontopath, tmpFilename) log("getConcepts(): Copied ontology from " + ontopath + " to " + tmpFilename) import owlready2 owlready2.default_world.ontologies.clear() getConceptsOnto = owlready2.get_ontology("file://" + tmpFilename) log("getConcepts(): Onto world debug before load: " + str(getConceptsOnto.world.ontologies)) #getConceptsOnto = get_ontology("file://" + ontopath) try: getConceptsOnto.load() log("getConcepts(): Load ontology :" + tmpFilename) #log("getConcepts(): Load ontology :" + ontopath) except: log("getConcepts(): Error loading ontology " + tmpFilename) #log("getConcepts(): Error loading ontology " + ontopath) return result documents = getConceptsOnto.search(iri=getConceptsOnto.base_iri + str(documentId)) log("getConcepts(): Onto world debug: " + str(getConceptsOnto.world.ontologies)) if len(documents) > 0: document = documents[0] log("getConcepts(): Document found " + document.iri) concepts = document.documentHasConcept for concept in concepts: if concept not in result: result.append(concept.name) if len(concepts) > 0: log("getConcepts(): Concepts found: " + str(len(concepts))) else: log("getConcepts(): No concepts found.") else: log("No document found. docid = " + str(documentId)) os.remove(tmpFilename) log("getConcepts(): Deleting temp file " + tmpFilename) log("getConcepts(): Trying to destroy " + getConceptsOnto.base_iri) try: getConceptsOnto.destroy() del getConceptsOnto del owlready2 log("getConcepts(): Ontology destroyed") except: log("getConcepts(): Can not destroy ontology loaded") gc.collect() return result
def getDocumentsFromOntology(concepts, ontopath, resultDocuments): log("Call to getDocumentsFromOntology(): " + ontopath) import owlready2 owlready2.default_world.ontologies.clear() onto = owlready2.get_ontology("file://" + ontopath) try: onto.load() #with onto: # sync_reasoner() log("getDocumentsFromOntology(): Loaded ontology " + ontopath) except: log("getDocumentsFromOntology(): Error loading ontology " + ontopath) return log("getDocumentsFromOntology(): Onto world debug: " + str(onto.world.ontologies)) ontoconcepts = onto.search(is_a=onto.Concept) scores = [] for concept in ontoconcepts: score = -1 for token in concepts: if score == -1: score = editdistance.eval(concept.name, token) else: score = min(score, editdistance.eval(concept.name, token)) scores.append((score, concept)) lowest_scores = list(filter(lambda x: x[0] < 3, scores)) validConcepts = [] for score in lowest_scores: validConcepts.append(score[1]) #Expand concepts for concept in validConcepts: documents = concept.conceptInDocument for document in documents: if document.name not in resultDocuments: resultDocuments.append(document.name) try: log("getDocumentsFromOntology(): Call to destroy() ontology " + ontopath) onto.destroy() del onto del owlready2 except: log("getDocumentsFromOntology(): Can't destroy ontology " + ontopath) gc.collect()
def __init__(self, http_code=500, log=None, log_level='ERROR', message=''): super(APIException, self).__init__(message) self._http_code = http_code if log is not None: api_log.log(message=log, level=log_level)