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Ind_synthesis_4_(SQL).py
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import csv
import numpy as np
import psycopg2
import random
from random import randrange
from datetime import datetime
from datetime import timedelta
import time
def random_date(start, end):
"""
This function will return a random datetime between two datetime
objects.
"""
delta = end - start
int_delta = (delta.days * 24 * 60 * 60) + delta.seconds
random_second = randrange(int_delta)
return start + timedelta(seconds=random_second)
d1 = datetime.strptime('7/25/20 00:00:00', '%m/%d/%y %H:%M:%S')
d2 = datetime.strptime('7/26/20 23:59:59', '%m/%d/%y %H:%M:%S')
#Open DB connection
con = psycopg2.connect(
database="Synthesis_mod_AI",
user="postgres",
password="admin",
host="127.0.0.1",
port="5432"
)
#Set up working directory
work_dir = "C:\\1\\"
#Set up model type
model_type = 1 #1 - hierarchical model; 0 - one-level model
#Clear DB tables
print("Connected to DB")
cur = con.cursor()
cur.execute('''TRUNCATE TABLE public."Base_model";''')
con.commit()
print("Table Base_model truncated")
cur.execute('''TRUNCATE TABLE public."Req_model";''')
con.commit()
print("Table Req_model truncated")
cur.execute('''TRUNCATE TABLE public."Base_links";''')
con.commit()
print("Table Base_links truncated")
cur.execute('''TRUNCATE TABLE public."Req";''')
con.commit()
print("Req truncated")
cur.execute('''TRUNCATE TABLE public."Req_links";''')
con.commit()
print("Table Req_links truncated")
cur.execute('''TRUNCATE TABLE public."Temp_table";''')
con.commit()
print("Temp_table truncated")
cur.execute('''TRUNCATE TABLE public."Temp_table2";''')
con.commit()
print("Temp_table2 truncated")
class src_node:
def start(self, model_type, node_type, id, name, parent_id, level_num):
self.model_type = model_type
self.node_type = node_type
self.id = id
self.name = name
self.parent_id = parent_id
self.level_num = level_num
class src_model:
def start(self, file_name, model1):
model = []
with open(file_name) as f_obj:
csv_dict_reader_models(f_obj, model)
self.model1 = model
class req_model:
def start(self, file_name, model1):
model = []
with open(file_name) as f_obj:
self.model1 = csv_dict_reader_requirements(f_obj)
class base_node:
def start(self, base_id, model_type, node_type, id, name, parent_id, level_num):
self.base_id = base_id
self.model_type = model_type
self.node_type = node_type
self.id = id
self.name = name
self.parent_id = parent_id
self.base_parent_id = base_parent_id
self.level_num = level_num
class base_link:
def start(self, id, src_link, dist_link, src_name, dist_name, rule, notes):
self.id = id
self.src_link = src_link
self.dist_link = dist_link
self.src_name = src_name
self.dist_name = dist_name
self.rule = rule
self.notes = notes
class base_rules:
def start(self, src_model, src_id, src_name, dist_model, dist_id, dist_name, rule):
self.src_model = src_model
self.src_id = src_id
self.src_name = src_name
self.dist_model = dist_model
self.dist_id = dist_id
self.dist_name = dist_name
self.rule = rule
class base_requirements:
def start(self, model_type, node_type, id, name, parent_id, level_num):
self.model_type = model_type
self.node_type = node_type
self.id = id
self.name = name
self.parent_id = parent_id
self.level_num = level_num
class base_model:
def start(self):
self.model = []
self.model_req = []
self.links = []
self.links_req = []
self.requirements = []
self.index = []
self.index_req = []
def add_model(self, src_model):
# Open SPARQL file
csv_f = open(work_dir + 'Base.csv', "wt")
j = len(self.model)
for i in range(len(src_model.model1)):
self.model.append(base_node())
self.model[j].base_id = '-1'
self.model[j].model_type = src_model.model1[i].model_type
self.model[j].node_type = src_model.model1[i].node_type
self.model[j].id = src_model.model1[i].id
self.model[j].name = src_model.model1[i].name
self.model[j].parent_id = src_model.model1[i].parent_id
self.model[j].base_parent_id = ''
self.model[j].level_num = src_model.model1[i].level_num
self.index.append(str)
self.index[j] = src_model.model1[i].model_type + ":" + str(src_model.model1[i].id)
if self.model[j].parent_id == "":
self.model[j].parent_id = '-1'
line = str(j) + ',' + self.model[j].model_type + ',' + self.model[j].node_type + ',' + self.model[j].name + ',' + str(self.model[j].id) + ',' + self.model[j].parent_id + ',' + self.model[j].level_num + '\n'
csv_f.write(line)
j = j + 1
csv_f.close()
sql = '''COPY "Base_model" ("ID", "MODEL_TYPE", "NODE_TYPE", "NAME", "SRC_ID", "PARENT_ID", "LEVEL_NUM") FROM \'''' + work_dir + 'Base.csv' + '''\' WITH DELIMITER ',' ;'''
cur.execute(sql)
con.commit()
def id_normalisation(self):
for i in range(len(self.model)):
self.model[i].base_id = self.model[i].model_type + '-' + self.model[i].id
parent_str = self.model[i].parent_id
parent_set = parent_str.split(":")
parent_str = ''
if len(parent_set) > 1:
for p in range(len(parent_set)):
parent_set[p] = self.model[i].model_type + '-' + parent_set[p]
parent_str = ':'.join(parent_set)
self.model[i].base_parent_id = parent_str
else:
if parent_set[0] == '':
self.model[i].base_parent_id = ''
else:
self.model[i].base_parent_id = self.model[i].model_type + '-' + parent_set[0]
return 1
def create_base_links(self, rules_file):
j=0
for i in range(len(self.model)):
if self.model[i].base_parent_id != '':
parent_str = str(self.model[i].base_parent_id)
parent_set = parent_str.split(":")
for p in range(len(parent_set)):
self.links.append(base_link())
self.links[j].start(j ,parent_set[p], self.model[i].base_id, '',self.model[i].name, 'includes', 0)
j = j+1
with open(rules_file) as f_obj:
self.rules = csv_dict_reader_rules(f_obj)
for n in range(len(self.rules)):
self.links.append(base_link())
self.links[j].id = j
self.links[j].src_link = self.rules[n].src_model + '-' + self.rules[n].src_id
self.links[j].dist_link = self.rules[n].dist_model + '-' + self.rules[n].dist_id
self.links[j].src_name = self.rules[n].src_name
self.links[j].dist_name = self.rules[n].dist_name
self.links[j].rule = self.rules[n].rule
j = j + 1
def use_requirements(self, req_obj):
# Rejecting nodes from the base model
sql = '''Copy (SELECT s."ID", s."MODEL_TYPE", s."NODE_TYPE", s."SRC_ID", s."NAME", s."PARENT_ID", s."LEVEL_NUM" FROM public."Base_model" as s JOIN public."Req" as d ON s."MODEL_TYPE" = d."MODEL_TYPE" AND s."NODE_TYPE" = d."NODE_TYPE" AND s."SRC_ID" = d."SRC_ID" AND s."PARENT_ID" = d."PARENT_ID" AND s."NAME" = d."NAME") To \'''' + work_dir + 'Req_model_1.csv' + '''\' With CSV DELIMITER ',' HEADER;'''
cur.execute(sql)
con.commit()
print('Req object: The JOIN #1 executed')
l = 0
with open(work_dir + 'Req_model_1.csv') as f_obj:
reader = csv.DictReader(f_obj, delimiter=',')
for line in reader:
self.model_req.append(base_node())
self.model_req[l].base_id = -1
self.model_req[l].base_parent_id = ''
self.model_req[l].model_type = line["MODEL_TYPE"]
self.model_req[l].node_type = line["NODE_TYPE"]
self.model_req[l].name = line["NAME"]
self.model_req[l].id = line["SRC_ID"]
self.model_req[l].parent_id = line["PARENT_ID"]
self.model_req[l].level_num = line["LEVEL_NUM"]
l = l + 1
print('Part#1 finnished')
con.close()
#Base ID set / ID normalisation
print('ID normalisation started')
for i in range(len(self.model_req)):
self.model_req[i].base_id = self.model_req[i].model_type + '-' + self.model_req[i].id
parent_str = self.model_req[i].parent_id
parent_set = parent_str.split(":")
parent_str = ''
if len(parent_set) > 1:
for p in range(len(parent_set)):
parent_set[p] = self.model_req[i].model_type + '-' + parent_set[p]
parent_str = ':'.join(parent_set)
self.model_req[i].base_parent_id = parent_str
else:
if parent_set[0] == '':
self.model_req[i].base_parent_id = ''
else:
self.model_req[i].base_parent_id = self.model_req[i].model_type + '-' + parent_set[0]
return 1
def create_req_base_links(self, rules_file):
j = 0
for i in range(len(self.model_req)):
if self.model_req[i].base_parent_id != '':
parent_str = str(self.model_req[i].base_parent_id)
parent_set = parent_str.split(":")
for p in range(len(parent_set)):
self.links_req.append(base_link())
self.links_req[j].start(j, parent_set[p], self.model_req[i].base_id, '', self.model_req[i].name, 'includes', 0)
j = j + 1
with open(rules_file) as f_obj:
self.rules = csv_dict_reader_rules(f_obj)
for n in range(len(self.rules)):
self.links_req.append(base_link())
self.links_req[j].id = j
self.links_req[j].src_link = self.rules[n].src_model + '-' + self.rules[n].src_id
self.links_req[j].dist_link = self.rules[n].dist_model + '-' + self.rules[n].dist_id
self.links_req[j].src_name = self.rules[n].src_name
self.links_req[j].dist_name = self.rules[n].dist_name
self.links_req[j].rule = self.rules[n].rule
j = j + 1
def csv_dict_reader_models(file_obj, model):
"""
Read a CSV file using csv.DictReader
"""
reader = csv.DictReader(file_obj, delimiter=',')
i=0
for line in reader:
model.append(src_node())
model[i].model_type = line["MODEL_TYPE"]
model[i].node_type = line["NODE_TYPE"]
model[i].id = line["ID"]
model[i].name = line["NAME"]
model[i].parent_id = line["PARENT_ID"]
model[i].level_num = line["LEVEL_NUM"]
i = i+1
return model
def csv_dict_reader_rules(file_obj_rules):
"""
Read a CSV file using csv.DictReader
"""
rules = []
reader = csv.DictReader(file_obj_rules, delimiter=',')
i=0
for line in reader:
rules.append(base_rules())
rules[i].src_model = line["SRC_MODEL"]
rules[i].src_id = line["SRC_ID"]
rules[i].src_name = line["SRC_NAME"]
rules[i].dist_model = line["DIST_MODEL"]
rules[i].dist_id = line["DIST_ID"]
rules[i].dist_name = line["DIST_NAME"]
rules[i].rule = line["RULE"]
i = i+1
return rules
def csv_dict_reader_requirements(file_obj_rules):
"""
Read a CSV file using csv.DictReader
"""
requirements = []
reader = csv.DictReader(file_obj_rules, delimiter=',')
print("Req dic entered")
i=0
# Open CSV file
csv_f = open(work_dir + 'Req.csv', "wt")
for line in reader:
requirements.append(base_requirements())
requirements[i].model_type = line["MODEL_TYPE"]
requirements[i].node_type = line["NODE_TYPE"]
requirements[i].id = line["ID"]
requirements[i].name = line["NAME"]
requirements[i].parent_id = line["PARENT_ID"]
if requirements[i].parent_id == '':
requirements[i].parent_id = '-1'
requirements[i].level_num = line["LEVEL_NUM"]
line = str(i) + ',' + requirements[i].model_type + ',' + requirements[i].node_type + ',' + requirements[i].name + ',' + str(requirements[i].id)+ ',' + requirements[i].parent_id + ',' + requirements[i].level_num + '\n'
csv_f.write(line)
i = i + 1
csv_f.close()
sql = '''COPY "Req" ("ID", "MODEL_TYPE", "NODE_TYPE", "NAME", "SRC_ID", "PARENT_ID", "LEVEL_NUM") FROM \'''' + work_dir + 'Req.csv' + '''\' WITH DELIMITER ',' ;'''
cur.execute(sql)
con.commit()
return requirements
def create_rdf_model(model, links, file_name):
genres = ['Sport', 'Comedy', 'Documentary', 'Geography']
# Open file
spql = open(file_name, "wt")
# Add header
header = str(
"<?xml version='1.0' encoding='UTF-8'?>\n<rdf:RDF\nxmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns#'\nxmlns:vCard='http://www.w3.org/2001/vcard-rdf/3.0#'\nxmlns:my='http://127.0.0.1/bg/ont/test1#'\n>")
spql.write(header)
#Create nodes
for i in range(len(model)):
body = str("\n<rdf:Description rdf:about='http://127.0.0.1/") + str(model[i].name) + str("/'>\n<my:has_id>") + str(model[i].base_id) + str("</my:has_id>\n <my:has_type>") + str(model[i].node_type) + str("</my:has_type>\n")
if model[i].node_type == 'PPV_Event':
body = body + str("<my:has_genre>") + str(random.choice(genres)) + str("</my:has_genre>\n")
body = body + str("<my:has_description>") + str("Model type: ") + str(model[i].model_type) + str(", Node type: ") + str(model[i].node_type) + str(", Node name: ") + str(model[i].name)+ str("</my:has_description>\n</rdf:Description>\n")
spql.write(body)
#Create links
for i in range(len(links)):
body = str("\n<rdf:Description rdf:about='http://127.0.0.1/Link_") + str(i) + str("/'>\n<my:src_node_id>") + str(links[i].src_link) + str("</my:src_node_id>\n<my:dist_node_id>") + str(links[i].dist_link) + str("</my:dist_node_id>\n<my:used_rule>") + str(links[i].rule)+ str("</my:used_rule>\n</rdf:Description>\n")
spql.write(body)
spql.close()
return 1
def create_dynamic_data(file_name, num):
# Open SPARQL file
spql = open(file_name, "a")
# Add header
header = str(
"<?xml version='1.0' encoding='UTF-8'?>\n<rdf:RDF\nxmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns#'\nxmlns:vCard='http://www.w3.org/2001/vcard-rdf/3.0#'\nxmlns:my='http://127.0.0.1/bg/ont/test1#'\n>")
#spql.write(header)
#Create entries
reg = ['https://sws.geonames.org/8504951/', 'https://sws.geonames.org/510291/',
'https://sws.geonames.org/546105/', 'https://sws.geonames.org/8504949/',
'https://sws.geonames.org/8504953/']
spql.write("\n<!--User action definitions PPV purchases-->\n")
for i in range(num):
body = str("<rdf:Description rdf:about='http://127.0.0.1/Request_A") + str(i) + str(
"/'><my:request_timestamp rdf:datatype='http://www.w3.org/2001/XMLSchema#datetime'>") + str(
random_date(d1, d2).strftime("%Y-%m-%dT%H:%M:%S")) + str(
"</my:request_timestamp>\n<my:request_geodata><rdf:Description rdf:about='") + str(
random.choice(reg)) + str("'></rdf:Description></my:request_geodata>\n<my:has_req_type>PPV_purchased</my:has_req_type>\n<my:request_detailes>\n<rdf:Description>\n<rdf:type>:statement</rdf:type>\n<rdf:predicat>:ppv_purchase</rdf:predicat>\n<rdf:subject><rdf:Description rdf:about='http://127.0.0.1/Event_") + str(random.randint(19, 99)) + str("/'></rdf:Description></rdf:subject>\n<rdf:object>\n<rdf:Description rdf:about='http://127.0.0.1/User_") + str(
random.randint(12, 11 + num)) + str("/'></rdf:Description></rdf:object>\n</rdf:Description>\n</my:request_detailes>\n</rdf:Description>\n")
spql.write(body)
#Create footer
spql.write("\n</rdf:RDF>\n")
spql.close()
return 1
if __name__ == "__main__":
t0 = int(time.time() * 1000)
tn = t0
print("Started")
#Import src model
src_obj = src_model()
src_obj.start("Test_model.csv", model1 = [])
t1 = int(time.time() * 1000)
print("SRC model imported. Time: " + str(t1-t0) + " ms.")
# Create base model
base_obj = base_model()
base_obj.start()
t0 = t1
t1 = int(time.time() * 1000)
print("Base model created. Time: " + str(t1-t0) + " ms.")
# Add src model
base_obj.add_model(src_obj)
t0 = t1
t1 = int(time.time() * 1000)
print("SRC model added. Time: " + str(t1-t0) + " ms.")
# ID normalisation
base_obj.id_normalisation()
t0 = t1
t1 = int(time.time() * 1000)
print("Indexes normalized. Time: " + str(t1-t0) + " ms.")
if model_type == 1:
# Base links creation - hierarchical
base_obj.create_base_links('Links_rules.csv')
else:
# Base links creation - one-level
base_obj.create_base_links('Links_rules-one-level-TEST.csv')
t0 = t1
t1 = int(time.time() * 1000)
print("Base links created. Time: " + str(t1-t0) + " ms.")
# Create requirements object
req_obj = req_model()
req_obj.start("Test_model.csv", model1=[])
t0 = t1
t1 = int(time.time() * 1000)
print("Req object created. Time: " + str(t1-t0) + " ms.")
# Using requirements
base_obj.use_requirements(req_obj)
t0 = t1
t1 = int(time.time() * 1000)
print("Reqs applyed. Time: " + str(t1-t0) + " ms.")
if model_type == 1:
# Create links for model_req - hierarchical
base_obj.create_req_base_links('Links_rules.csv')
else:
# Create links for model_req - one-level
base_obj.create_req_base_links('Links_rules-one-level-TEST.csv')
t0 = t1
t1 = int(time.time() * 1000)
print("Req model links created. Time: " + str(t1-t0) + " ms.")
#Create base RDF model
create_rdf_model(base_obj.model, base_obj.links, work_dir + 'Base_rdf_1.xml')
#Create user req. RDF model
create_rdf_model(base_obj.model_req, base_obj.links_req, work_dir + 'Req_rdf_1.xml')
# Create dynamic data
create_dynamic_data(work_dir + 'Req_rdf_1.xml', 100)
# Saving models to files
np.savez(work_dir + 'Model_base', base_obj.model, allow_pickle=True)
np.savez(work_dir + 'Model_base_links', base_obj.links, allow_pickle=True)
np.savez(work_dir + 'Model_base_req', base_obj.model_req, allow_pickle=True)
np.savez(work_dir + 'Model_base_links_req', base_obj.links_req, allow_pickle=True)
t0 = t1
t1 = int(time.time() * 1000)
print("Models saved. Time: " + str(t1-t0) + " ms.")
print("Total time spent: " + str(t1 - tn) + " ms.")
con.close()