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webServiceTest.py
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webServiceTest.py
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# -*- encoding: utf-8 -*-
from flask import Flask, request
from flask_restful import Resource, Api
import requests
import json
import os
import numpy as np
import pickle
from SPARQLWrapper import SPARQLWrapper, JSON
import pandas as pd
from hazm import *
from openpyxl import load_workbook
from io import BytesIO
import urllib
app = Flask(__name__)
api = Api(app)
def callApi(url, data, tokenKey):
headers = {
'Content-Type': "application/json",
'Authorization': "Bearer " + tokenKey,
'Cache-Control': "no-cache"
}
response = requests.request("POST", url, data=data.encode("utf-8"), headers=headers)
# print(response)
return response.text
def mergeTwoListWithSomeEqualElements(list1, list2):
mergedList = []
for i in range(0, len(list1)):
if(list1[i] in list2):
mergedList.append(list1[i])
if(len(mergedList) > 0):
for i in range(0, len(list1)):
if(list1[i] not in mergedList):
mergedList.append(list1[i])
for i in range(0, len(list2)):
if(list2[i] not in mergedList):
mergedList.append(list2[i])
return mergedList
def getStemmOfArray(StemmerUrl, tokenKey, synonyms):
payload = ""
for i in range(0, len(synonyms)):
payload += synonyms[i]
if(i<len(synonyms)-1):
payload += " ، "
payload = u'"' + payload + '"'
# print("payload = ", payload)
stemmerResult = callApi(StemmerUrl, payload, tokenKey)
# print(stemmerResult)
resultArray = stemmerResult.split('، ')
return resultArray
def removeUnnecessaryCharacters(sentence):
unnecessaryCharacters = ['»', '«', '\"', '\"', ')', '(', '+', '-', '،', '.', '؟', '!', '؛', '...', '…', '[', ']', '/', '=', ':', ',', 'ٔ', ' ']
for i in range (0, len(unnecessaryCharacters)):
sentence = sentence.replace(unnecessaryCharacters[i], '')
sentence = ' '.join(sentence.split())
return sentence
def isRelationAlreadyExist(validRelations, newValidRelation):
for i in range(0, len(validRelations)):
if(newValidRelation['head'] == validRelations[i]['head'] and
newValidRelation['tail'] == validRelations[i]['tail'] and
newValidRelation['relation'] == validRelations[i]['relation']):
return True
return False
class CheckSentenceRelations(Resource):
@staticmethod
def get():
sentence = request.args.get('sentence', '')
textMiningIrApiKey = request.args.get('textMiningIrApiKey', '')
headers = {
'Content-Type': "application/json",
'Cache-Control': "no-cache"
}
##################### Get Token by Api Key ##########################
baseTextMiningUrl = "http://api.text-mining.ir/api/"
url = baseTextMiningUrl + "Token/GetToken"
querystring = {"apikey":textMiningIrApiKey}
response = requests.request("GET", url, params=querystring)
responseData = json.loads(response.text)
try:
tokenKey = responseData['token']
except Exception as e:
return "Token Key is not valid or expired!"
StemmerUrl = baseTextMiningUrl + "Stemmer/LemmatizeText2Text"
farsBaseEntityLinkingURL = "http://farsbase.net:8099/proxy/raw/rest/v1/raw/FKGfy"
sparqlEndpoint = "http://farsbase.net:8890/sparql"
sparql = SPARQLWrapper(sparqlEndpoint)
sentence = removeUnnecessaryCharacters(sentence)
# print("sentence = ", sentence)
requestSentence = {"text": sentence}
headers = {'content-type': 'application/json'}
response = requests.post(farsBaseEntityLinkingURL, data=json.dumps(requestSentence), headers=headers)
d = json.loads(response.text)
sentenceWords = []
sentenceIris = []
for i in range(0, len(d[0])):
iris = []
try:
# print(d[0][i])
if('iri' in d[0][i]['resource']):
# if(len(d[0][i]['resource']['classes']) > 1 or ((len(d[0][i]['resource']['classes']) == 1) and ('http://fkg.iust.ac.ir/ontology/Thing' not in d[0][i]['resource']['classes'] or len(d[0][i]['ambiguities']) > 0 )
if(len(d[0][i]['resource']['classes']) > 1 or ((len(d[0][i]['resource']['classes']) == 1) and ('http://fkg.iust.ac.ir/ontology/Thing' not in d[0][i]['resource']['classes']))):
# print(d[0][i])
iris.append(d[0][i]['resource']['iri'])
for k in range (0, len(d[0][i]['ambiguities'])):
iris.append(d[0][i]['ambiguities'][k]['iri'])
sentenceWords.append(d[0][i]['word'])
sentenceIris.append(iris)
except Exception as e:
pass
# print("sentenceIris = ", sentenceIris)
newSentenceWords = []
newSentenceIris = []
for i in range (0, len(sentenceWords)):
if(len(newSentenceIris) > 0):
newIris = mergeTwoListWithSomeEqualElements(newSentenceIris[len(newSentenceIris)-1], sentenceIris[i])
if(len(newIris) > 0):
newSentenceIris[len(newSentenceIris)-1] = newIris
newSentenceWords[len(newSentenceWords)-1] = newSentenceWords[len(newSentenceWords)-1] + " " + sentenceWords[i]
else:
newSentenceIris.append(sentenceIris[i])
newSentenceWords.append(sentenceWords[i])
else:
newSentenceIris.append(sentenceIris[i])
newSentenceWords.append(sentenceWords[i])
# print("newSentenceIris = ", newSentenceIris)
allFoundedRelationsInSentence = []
for i in range (0, len(newSentenceIris)):
for j in range (0, len(newSentenceIris[i])):
for k in range (0, len(newSentenceIris)):
if(k != i):
for l in range (0, len(newSentenceIris[k])):
stringQuery = """select ?p WHERE {
<""" + newSentenceIris[i][j] + """> ?p <""" + newSentenceIris[k][l] + """>
}"""
# print("stringQuery = ", stringQuery)
sparql.setQuery(stringQuery)
sparql.setReturnFormat(JSON)
results = sparql.query().convert()
# print("query Result = ", results)
if(len(results['results']['bindings']) > 0):
for m in range (0, len(results['results']['bindings'])):
foundedRelation = {}
foundedRelation['sentence'] = sentence
head = {}
head['word'] = newSentenceWords[i]
head['id'] = newSentenceIris[i][j]
foundedRelation['head'] = head
tail = {}
tail['word'] = newSentenceWords[k]
tail['id'] = newSentenceIris[k][l]
foundedRelation['tail'] = tail
foundedRelation['relation'] = results['results']['bindings'][m]['p']['value']
if (not (foundedRelation in allFoundedRelationsInSentence)):
allFoundedRelationsInSentence.append(foundedRelation)
# print(foundedRelation)
stringQuery = """SELECT ?p WHERE {
<""" + newSentenceIris[i][j] + """> <http://fkg.iust.ac.ir/ontology/relatedPredicates> ?o.
?o ?p <""" + newSentenceIris[k][l] + """>
}"""
sparql.setQuery(stringQuery)
sparql.setReturnFormat(JSON)
results = sparql.query().convert()
for m in range (0, len(results['results']['bindings'])):
foundedRelation = {}
foundedRelation['sentence'] = sentence
head = {}
head['word'] = newSentenceWords[i]
head['id'] = newSentenceIris[i][j]
foundedRelation['head'] = head
tail = {}
tail['word'] = newSentenceWords[k]
tail['id'] = newSentenceIris[k][l]
foundedRelation['tail'] = tail
foundedRelation['relation'] = results['results']['bindings'][m]['p']['value']
if (not (foundedRelation in allFoundedRelationsInSentence)):
allFoundedRelationsInSentence.append(foundedRelation)
# print(foundedRelation)
# file = urllib.request.urlopen('Properties_refined_two_side_entity_filterd.xlsx').read()
# dfs = load_workbook(filename = 'Properties_refined_two_side_entity_filterd.xlsx')
# dfs = pd.read_excel("Properties_refined_two_side_entity_filterd.xlsx", sheet_name="Sheet1", engine='openpyxl')
# relations = []
# for i in range (0, len(dfs)):
# relations.append(dfs['URL'][i])
dfs = load_workbook(filename = 'Properties_refined_two_side_entity_filterd.xlsx')
# print(dfs['Sheet1'].cell(row=4, column=2).value)
relations = []
for i in range (2, 214):
relations.append(dfs['Sheet1'].cell(row=i, column=1).value)
synonymsArray = []
for i in range (2, 214):
ss = ""
if (not(dfs['Sheet1'].cell(row=i, column=5).value == None)):
ss += dfs['Sheet1'].cell(row=i, column=5).value
if (not(dfs['Sheet1'].cell(row=i, column=6).value == None)):
ss += " , " + dfs['Sheet1'].cell(row=i, column=6).value
synonymsArray.append(ss)
data = allFoundedRelationsInSentence
# print("allFoundedRelationsInSentence = ", allFoundedRelationsInSentence)
normalizer = Normalizer()
notInExecelCount = 0
validRelations = []
for i in range (0, len(data)):
try:
sentence = data[i]['sentence']
firstEntity = data[i]['head']['id']
firstWord = data[i]['head']['word']
secondWord = data[i]['tail']['word']
secondEntity = data[i]['tail']['id']
relation = data[i]['relation']
if (relation in relations):
sentence = removeUnnecessaryCharacters(sentence)
if (firstWord == secondWord):
break
if (firstEntity == secondEntity):
break
if (not (synonymsArray[relations.index(relation)] == None)):
synonyms = synonymsArray[relations.index(relation)].replace(u'\xa0', u' ').replace(u' , ', u',').replace(u', ', u',').replace(u' ,', u',').replace(u'\u200c', u' ').split(',')
splitedSentence = sentence.split(' ')
for synonymIndex in range (0, len(synonyms)):
for i in range (0, len(splitedSentence)):
if(not(normalizer.normalize(synonyms[synonymIndex]) == '') and normalizer.normalize(synonyms[synonymIndex]) == splitedSentence[i]):
newValidRelation = {}
newValidRelation['sentence'] = sentence
firstEn = {}
firstEn['word'] = firstWord
firstEn['start'] = sentence.find(firstWord)
firstEn['length'] = len(firstWord)
firstEn['id'] = firstEntity
secondEn = {}
secondEn['word'] = secondWord
secondEn['start'] = sentence.find(secondWord)
secondEn['length'] = len(secondWord)
secondEn['id'] = secondEntity
newValidRelation['head'] = firstEn
newValidRelation['tail'] = secondEn
newValidRelation['relation'] = relation
newValidRelation['why'] = "No root : " + normalizer.normalize(synonyms[synonymIndex]) + " == " + splitedSentence[i]
if(not isRelationAlreadyExist(validRelations, newValidRelation)):
validRelations.append(newValidRelation)
break
stemmerResultOnSynonyms = getStemmOfArray(StemmerUrl, tokenKey, synonyms)
for stemmerResultIndex in range (0, len(stemmerResultOnSynonyms)):
for i in range (0, len(splitedSentence)):
if(not(normalizer.normalize(stemmerResultOnSynonyms[stemmerResultIndex]) == '') and normalizer.normalize(stemmerResultOnSynonyms[stemmerResultIndex]) == splitedSentence[i]):
newValidRelation = {}
newValidRelation['sentence'] = sentence
firstEn = {}
firstEn['word'] = firstWord
firstEn['start'] = sentence.find(firstWord)
firstEn['length'] = len(firstWord)
firstEn['id'] = firstEntity
secondEn = {}
secondEn['word'] = secondWord
secondEn['start'] = sentence.find(secondWord)
secondEn['length'] = len(secondWord)
secondEn['id'] = secondEntity
newValidRelation['head'] = firstEn
newValidRelation['tail'] = secondEn
newValidRelation['relation'] = relation
newValidRelation['why'] = "Root of Synonym: " + normalizer.normalize(stemmerResultOnSynonyms[stemmerResultIndex]) + " == " + splitedSentence[i]
if(not isRelationAlreadyExist(validRelations, newValidRelation)):
validRelations.append(newValidRelation)
break
payload = u'"' + sentence + '"'
sentenceStemmerResult = callApi(StemmerUrl, payload, tokenKey)
splitedSentenceStemmerResult = sentenceStemmerResult.split(' ')
for stemmerResultIndex in range (0, len(stemmerResultOnSynonyms)):
for i in range (0, len(splitedSentenceStemmerResult)):
if(not(normalizer.normalize(stemmerResultOnSynonyms[stemmerResultIndex]) == '') and normalizer.normalize(stemmerResultOnSynonyms[stemmerResultIndex]) == splitedSentenceStemmerResult[i]):
newValidRelation = {}
newValidRelation['sentence'] = sentence
firstEn = {}
firstEn['word'] = firstWord
firstEn['start'] = sentence.find(firstWord)
firstEn['length'] = len(firstWord)
firstEn['id'] = firstEntity
secondEn = {}
secondEn['word'] = secondWord
secondEn['start'] = sentence.find(secondWord)
secondEn['length'] = len(secondWord)
secondEn['id'] = secondEntity
newValidRelation['head'] = firstEn
newValidRelation['tail'] = secondEn
newValidRelation['relation'] = relation
newValidRelation['why'] = "Root of both: " + normalizer.normalize(stemmerResultOnSynonyms[stemmerResultIndex]) + " == " + splitedSentenceStemmerResult[i]
if(not isRelationAlreadyExist(validRelations, newValidRelation)):
validRelations.append(newValidRelation)
break
else:
notInExecelCount = notInExecelCount + 1
except Exception as e:
pass
# print(validRelations)
return validRelations
api.add_resource(CheckSentenceRelations, '/')
if __name__ == '__main__':
app.run(host='127.0.0.1', port=9030)