def count_reproducible_method_in_year(year):
#Returns an array with the number of yes and no.
return [
Biblio.select().where(
Biblio.reproducible_method.contains("yes") & (Biblio.year == year)
& Biblio.main_objective.contains("detection")
& Biblio.julio_state.contains("integrated_core")).count(),
Biblio.select().where(
Biblio.reproducible_method.contains("no") & (Biblio.year == year)
& Biblio.main_objective.contains("detection")
& Biblio.julio_state.contains("integrated_core")).count()
]
def return_selection(objective, state):
if objective:
if state:
selection = Biblio.select().where(
(Biblio.main_objective.contains(objective))
& (Biblio.julio_state.contains(state)))
else:
selection = Biblio.select().where(
Biblio.main_objective.contains(objective))
else:
selection = Biblio.select()
return selection
def extract_citations_in_database():
selection = Biblio.select(Biblio.bibtex_id).where(
Biblio.raw_bibliography.is_null())
global_path = "/Users/Julio/Documents/PhD/Papers/Security/Multi-Step attacks DB/"
for element in selection:
try:
string_of_path = global_path + "Corpus/" + element.bibtex_id + ".pdf"
path_to_file = Path(string_of_path)
if not path_to_file.is_file():
string_of_path = global_path + "Papers/" + element.bibtex_id + ".pdf"
path_to_file = Path(string_of_path)
if path_to_file.is_file():
string_with_references = extract_citations_from_pdf(
string_of_path)
else:
print "NOT WORKED"
string_with_references = "NOT WORKED"
else:
string_with_references = extract_citations_from_pdf(
string_of_path)
update_raw_bibliography(element.bibtex_id, string_with_references)
except TypeError, IndexError:
print "Not worked for: " + element.bibtex_id
update_raw_bibliography(element.bibtex_id,
"SOME ERROR OF THE PROGRAM")
def make_array_richer(array):
result = []
for element in array:
all_papers = Biblio.select().where((Biblio.main_objective.contains('detection'))&(Biblio.full_author.contains(element[0]))&(Biblio.julio_state.contains("integrated"))).count()
print str(all_papers) + " ==== " + str(element[1])
return result
def extract_number_of_papers_per_approach(approaches, begin_year, end_year):
#It accept an array of duples called "type" with the "key" the type to print and in the value an array of the values to search
#We are going to use the same structure of types but we are going to change the arrays of subtypes by the data extracted from the dataset for doing the plots
result = approaches
paper_counter = 0
counter = 0
for global_tuple in approaches:
#The global types they are already in "result"
plot_for_type = []
for i in range(begin_year, end_year):
#We need to look for all the entries having the subtypes as types and we count the result
number_of_results = 0
for subtype in global_tuple[1]:
number_of_results += Biblio.select().where(
(Biblio.year == i) & (Biblio.approach == subtype)
& (Biblio.julio_state.contains("integrated_core"))
& (Biblio.main_objective.contains("detection"))).count()
plot_for_type.append([i, number_of_results])
paper_counter += number_of_results
result[counter][1] = plot_for_type
counter += 1
print "Total number of papers extracted: " + str(paper_counter)
return result
def extract_citation_number_for_the_non_found():
#We only select those records with NUll in the URL
selection = Biblio.select(Biblio.title, Biblio.bibtex_id).where(
Biblio.citations_google.is_null())
querier.apply_settings(settings)
query = SearchScholarQuery()
element = selection[0]
for element in selection:
full_csv = do_query("\"" + element.title + "\"", query)
print "*******************"
print "TITLE: " + element.title
print full_csv
print "*******************"
array_of_citation = split_citation(full_csv)
update_url(element.bibtex_id, array_of_citation[1])
update_citations_google(element.bibtex_id, array_of_citation[3])
update_clusterid_google(element.bibtex_id, array_of_citation[5])
update_url_pdf(element.bibtex_id, array_of_citation[6])
waiting_time = randint(10, 100)
for i in range(waiting_time, 0, -1):
sys.stdout.write(str(i) + ", ")
sys.stdout.flush()
sleep(1)
def do_exist(year, full_author, title):
if Biblio.select().where((Biblio.year == year) & (Biblio.title == title)
& (Biblio.full_author == full_author)):
print "The element already exists: " + str(
year) + " " + full_author + " - " + title
return True
elif Biblio.select().where(Biblio.year == year and Biblio.title == title):
print "ATTENTION: there is a reference with same year and title. WE ADD ANYWAYS"
print str(year) + " " + full_author + " - " + title
return False
elif Biblio.select().where(Biblio.year == year
and Biblio.full_author == full_author):
print "ATTENTION: there is a reference with same year and authors. WE ADD ANYWAYS"
print str(year) + " " + full_author + " - " + title
return False
else:
return False
def extract_array_for_comparing():
selection = Biblio.select()
result = []
for element in selection:
result.append([element.plain_text_reference, element.bibtex_id])
return result
def decide_bibtex_id(first_try):
lets_try = first_try
list_of_letters = list(string.ascii_lowercase)
counter = 1
while Biblio.select().where(Biblio.bibtex_id == lets_try):
lets_try = first_try[:2] + list_of_letters[counter] + first_try[2:]
counter += 1
return lets_try
def count_mixed_reproducibility(year):
return [
Biblio.select().where(
Biblio.reproducible_method.contains("yes")
& Biblio.reproducible_experiments.contains("yes")
& (Biblio.year == year)
& Biblio.main_objective.contains("detection")
& Biblio.julio_state.contains("integrated_core")).count(),
Biblio.select().where(
Biblio.reproducible_method.contains("yes")
& Biblio.reproducible_experiments.contains("no")
& (Biblio.year == year)
& Biblio.main_objective.contains("detection")
& Biblio.julio_state.contains("integrated_core")).count(),
Biblio.select().where(
Biblio.reproducible_method.contains("no")
& Biblio.reproducible_experiments.contains("no")
& (Biblio.year == year)
& Biblio.main_objective.contains("detection")
& Biblio.julio_state.contains("integrated_core")).count()
]
def extract_list_of_references(julio_state):
selection = Biblio.select().where(Biblio.julio_state.contains(julio_state))
counter = 1
for element in selection:
list_of_references = element.raw_bibliography.split(';')
for reference in list_of_references:
new_entry({
"id": counter,
"reference": reference,
"coming_from": element.bibtex_id
})
counter += 1
def extract_number_of_papers_per_year(begin_year, end_year):
result = {}
total = 0
for i in range(begin_year, end_year):
number_of_papers = Biblio.select().where(
(Biblio.year == i) & (Biblio.main_objective == 'detection')
& (Biblio.julio_state.contains("integrated_core"))).count()
result[i] = number_of_papers
print str(i) + " " + str(number_of_papers)
total += number_of_papers
print " "
print "TOTAL: " + str(total)
return result
def count_for_all_years_v4():
total = 0
output_stringRep = "{"
output_stringAccm = "{"
output_stringAccd = "{"
output_stringAcck = "{"
for year in range(2001, 2019):
results_rep = count_reproducible_experiments_in_year(year)
results_accm = count_reproducible_method_in_year(year)
results_accd = count_accd_in_year(year)
results_acck = count_acck_in_year(year)
partial_total = Biblio.select().where(
(Biblio.year == year) & Biblio.main_objective.contains("detection")
& Biblio.julio_state.contains("integrated_core")).count()
print "Year " + str(year)
print "Reproducible Experiment: " + str(results_rep[0]) + "\t" + str(
round(float(results_rep[0]) * 100 / partial_total, 1))
total += partial_total
print "Total: " + str(partial_total)
print ""
output_stringRep += " (" + str(year) + ',' + str(
round(float(results_rep[0]) * 100 / partial_total, 1)) + ")"
output_stringAccm += " (" + str(year) + ',' + str(
round(float(results_accm[0]) * 100 / partial_total, 1)) + ")"
output_stringAccd += " (" + str(year) + ',' + str(
round(float(results_accd[0]) * 100 / partial_total, 1)) + ")"
output_stringAcck += " (" + str(year) + ',' + str(
round(float(results_acck[0]) * 100 / partial_total, 1)) + ")"
print "***********"
print "TOTAL: " + str(total)
print ""
print "Rep.:\t" + output_stringRep + " };"
print "Accm:\t" + output_stringAccm + " };"
print "Accd:\t" + output_stringAccd + " };"
print "Acck:\t" + output_stringAcck + " };"
def extract_citation_number_for_all():
#We update all the registers, even if they already have a number of citations
selection = Biblio.select(Biblio.title, Biblio.bibtex_id)
querier.apply_settings(settings)
query = SearchScholarQuery()
element = selection[0]
centinela = 1
for element in selection:
full_csv = do_query("\"" + element.title + "\"", query)
print "*******************"
print "TITLE: " + element.title
print full_csv
print "*******************"
array_of_citation = split_citation(full_csv)
update_url(element.bibtex_id, array_of_citation[1])
update_citations_google(element.bibtex_id, array_of_citation[3])
update_clusterid_google(element.bibtex_id, array_of_citation[5])
update_url_pdf(element.bibtex_id, array_of_citation[6])
print "Iteration " + str(centinela)
centinela += 1
waiting_time = randint(10, 100)
for i in range(waiting_time, 0, -1):
sys.stdout.write(str(i) + ", ")
sys.stdout.flush()
sleep(1)
#Copyright 2018 Julio Navarro
#Built at the University of Strasbourg (France). CSTB team @ ICube laboratory
import peewee as pw
import sys
sys.path.insert(0,'../')
sys.path.insert(0,'../database_queries/')
from database_queries_biblio import *
from models import Biblio
selection = Biblio.select()
def extract_plain_reference_through_references():
for element in selection:
author = "NULL"
title ="NULL"
journal ="NULL"
publisher ="NULL"
volume ="NULL"
issue ="NULL"
pages ="NULL"
if element.author:
author = element.author
if element.title:
title = element.title
if element.journal:
journal = element.journal
if element.publisher:
publisher = element.publisher
if element.volume:
def get_count_of_julio_state(value):
return Biblio.select().where(Biblio.julio_state.contains(value)).count()
#!/usr/bin/env python
#Copyright 2018 Julio Navarro
#Built at the University of Strasbourg (France). CSTB team @ ICube laboratory
# -*- coding: utf-8 -*-
import peewee as pw
import sys
sys.path.insert(0,'../')
sys.path.insert(0,'../database_queries/')
from database_queries_biblio import *
from models import Biblio
selection = Biblio.select()#.where(Biblio.julio_state != "Excluded")
def clean_string(dirty_string):
result = dirty_string.replace("&", "\\&")
return result
def building_bibtex_conference(element):
result = "@inproceedings{"+element.bibtex_id+",\n"
if not element.bibtex_full_author:
print "Empty authors in "+element.bibtex_id
else:
result += "\tauthor={"+clean_string(element.bibtex_full_author)+"},\n"
if not element.bibtex_title:
print "Empty title in "+element.bibtex_id
else:
result += "\ttitle={"+clean_string(element.bibtex_title)+"},\n"
if not element.journal:
def get_count_of_julio_state_and_main_objective(value_state, value_objective):
return Biblio.select().where(
(Biblio.julio_state.contains(value_state))
& (Biblio.main_objective.contains(value_objective))).count()
import peewee as pw
import sys
import operator
import re
from representation_ranking import represent_ranking_in_table
sys.path.insert(0,'../../')
from models import Biblio
selection = Biblio.select(Biblio.full_author, Biblio.bibtex_id).where((Biblio.main_objective == 'detection')&(Biblio.julio_state.contains("integrated")))
def extract_authors():
names = []
for reference in selection:
names = names + [x.strip() for x in reference.full_author.split(' and ')]
different_names_set = set(names)
different_names = list(different_names_set)
different_names.sort()
counter_others = 0
dictionary_of_names = {}
for element in different_names:
total_number = names.count(element)
dictionary_of_names[element] = total_number
print element + '\t' + str(total_number)
#Copyright 2018 Julio Navarro
#Built at the University of Strasbourg (France). CSTB team @ ICube laboratory
import peewee as pw
import sys
sys.path.insert(0,'../')
sys.path.insert(0,'../database_queries/')
from models import Biblio
from database_queries_authordetect import get_max_id,new_entry_safe
selection = Biblio.select().where((Biblio.main_objective == 'detection')&(Biblio.julio_state.contains("integrated")))
def extract_authors():
author_dict = {}
for reference in selection:
array_of_authors = [x.strip() for x in reference.full_author.split(' and ')]
citations = reference.citations_google
bibtex_id = reference.bibtex_id
for author in array_of_authors:
#We need an array only with the rest of the authors
other_authors = list(array_of_authors)
other_authors.remove(author)
if author not in author_dict:
author_dict[author] = [[bibtex_id],
1,
citations,
citations,
citations,
def get_count_of_main_objective(value):
return Biblio.select().where((Biblio.main_objective.contains(value)) & (
Biblio.julio_state.contains("integrated"))).count()
import peewee as pw
import sys
import operator
import itertools
sys.path.insert(0,'../../')
from models import Biblio
selection = Biblio.select(Biblio.dataset).where((Biblio.main_objective.contains('detection'))&(Biblio.julio_state.contains('integrated'))&(Biblio.type_experiment.contains("public")))
equivalence_dict = {
'private_dataset':'NULL',
'darpa_1999':'NULL',
'darpa_2000': 'DARPA 2000',
'simulation': 'NULL',
'nsa_interservice_academy_cyber_defense_competition': 'NSA ...',
'2002_UCSB_treasure_hunt': 'UCSB',
'2004_ucsb_treasure_hunt': 'UCSB',
'darpa_gcp': 'DARPA GCP',
'darpa_gcp_v3_1': 'DARPA GCP',
'darpa_gcp_v3_2': 'DARPA GCP',
'darpa_gcp_v2_0': 'DARPA GCP',
'defcon_2010_18': 'DEFCON',
'2008_ucsb_ictf': 'UCSB',
'defcon_8': 'DEFCON',
'defcon_9': 'DEFCON'
}
list_of_elements = ['DARPA 2000','DARPA GCP','DEFCON','UCSB','NSA ...']