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mejoras de rendimiento, correción de fallas

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cobra 2023-03-22 00:41:04 +00:00
parent a191c3b831
commit 4b551b470b
6 changed files with 489815 additions and 1405460 deletions
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1194386
aliases
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228
serve_api.py
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@ -3,7 +3,6 @@ import os
import csv import csv
import json import json
import time import time
import mailer
import sqlite3 import sqlite3
import hashlib import hashlib
import flask import flask
@ -12,6 +11,8 @@ from flask import request
from flask import jsonify from flask import jsonify
from flask import abort from flask import abort
from flask_cors import CORS from flask_cors import CORS
#from flask_mysqldb import MySQL
import pyodbc
from fuzzywuzzy import fuzz from fuzzywuzzy import fuzz
from multiprocessing import Process, Queue from multiprocessing import Process, Queue
import face_recognition import face_recognition
@ -41,97 +42,208 @@ import face_recognition
#phph = lambda nnmm:nnmm.replace('LL',u'Ж').replace('RR',u'Р').replace('CH',u'Ч') #phph = lambda nnmm:nnmm.replace('LL',u'Ж').replace('RR',u'Р').replace('CH',u'Ч')
#names_ph = {nm[1]:phph(nm[1]) for nm in names} #names_ph = {nm[1]:phph(nm[1]) for nm in names}
#db_cursor.close(); db_connector.close() #db_cursor.close(); db_connector.close()
app = Flask(__name__,subdomain_matching=True) app = Flask(__name__)
CORS(app) CORS(app)
#app.config['MYSQL_HOST'] = '45.63.49.123'
#app.config['MYSQL_USER'] = 'root'
#app.config['MYSQL_PASSWORD'] = ')(C0nd0R10101'
#app.config['MYSQL_DB'] = 'globalists'
#app.config['MYSQL_CURSORCLASS'] = 'DictCursor' #highly important, this creates a tuple of dictionaries
#mysql = MySQL(app)
connection_string_mysql = "DRIVER={/usr/local/lib/mariadb/libmaodbc.so};SERVER=localhost;PORT=3306;DATABASE=globalists;UID=root;PWD=)(C0nd0R10101"
contador_resultados = 0
#app.config['SECURITY_TOKEN_AUTHENTICATION_KEY'] = '7bvij07Js7Da0ij5VzWTib6AOAv7J9kShu3HM3BTU3iT' #app.config['SECURITY_TOKEN_AUTHENTICATION_KEY'] = '7bvij07Js7Da0ij5VzWTib6AOAv7J9kShu3HM3BTU3iT'
#print(app.config['SECURITY_TOKEN_AUTHENTICATION_HEADER']) #print(app.config['SECURITY_TOKEN_AUTHENTICATION_HEADER'])
#print(app.config['SECURITY_TOKEN_AUTHENTICATION_KEY']) #print(app.config['SECURITY_TOKEN_AUTHENTICATION_KEY'])
app.config["SERVER_NAME"] = "condorgl.net" #app.config["SERVER_NAME"] = "localhost:2443"
@app.route("/") #@app.route("/",subdomain="mneural")
def rootr(): return "" #@app.route("/<path:wp>",subdomain="mneural")
@app.route("/login",subdomain="auth",methods=['POST']) #def webapp2(wp="index.html"): return app.send_static_file("mneural/"+wp+"index.html" if wp.endswith('/') else "mneural/"+wp)
def login(): def myFunc(e):
return jsonify({"success":request.form["username"] in ["aeespinosa","cobra"] and request.form["password"] in ["test"],"payload":{}}) return e['name_similarity']
@app.route("/resetpw",subdomain="auth",methods=['POST'])
def resetpw():
return jsonify({"success":request.form["username"] in ["aeespinosa","cobra"] and request.form["email"] in ["h@condorbs.net"],"payload":{""}})
@app.route("/",subdomain="globalists")
@app.route("/<path:wp>",subdomain="globalists")
def webapp(wp="index.html"): return app.send_static_file("globalists/"+wp+"index.html" if wp.endswith('/') else "globalists/"+wp)
@app.route("/",subdomain="mneural")
@app.route("/<path:wp>",subdomain="mneural")
def webapp2(wp="index.html"): return app.send_static_file("mneural/"+wp+"index.html" if wp.endswith('/') else "mneural/"+wp)
response_queue = Queue() response_queue = Queue()
@app.route("/match",subdomain="api", methods=['GET','POST','PUT','DELETE','TRACE','HEAD','OPTIONS']) @app.route("/match", methods=['GET','POST','PUT','DELETE','TRACE','HEAD','OPTIONS'])
#@auth_token_required #@auth_token_required
def match(): def match():
fields = {"name":"nombre","nationality":"pais","rfc":"rfc","status":"estatus"} fields = {"name":"nombre","nationality":"pais","rfc":"rfc","status":"estatus"}
data = {field:request.args.get(field) for field in list(fields)+["similarity"]} data = {field:request.args.get(field) for field in list(fields)+["similarity"]}
db_connector = pyodbc.connect(connection_string_mysql)
cur = db_connector.cursor()
cur.execute('SELECT Token FROM Token WHERE Activo = 1')
tokens_si = cur.fetchall()
lista_token = []
for t in tokens_si:
lista_token.append(t[0])
if not (request.args.get("token") and (request.args.get("name") or request.args.get("rfc"))): return {"success":False,"error":"400 Bad Request"},400 if not (request.args.get("token") and (request.args.get("name") or request.args.get("rfc"))): return {"success":False,"error":"400 Bad Request"},400
if request.method != 'GET': return {"success":False,"error":"405 Method Not Allowed"},405 if(request.method != 'GET'):
if request.args.get("token") not in ["7bvij07Js7Da0ij5VzWTib6AOAv7J9kShu3HM3BTU3iT","j6KbS9IVIdWReQkag3Own9XS1YGBCt4L2j070YonBV4T"]: cur.close()
db_connector.close()
return {"success":False,"error":"405 Method Not Allowed"},405
#if request.args.get("token") not in ["7bvij07Js7Da0ij5VzWTib6AOAv7J9kShu3HM3BTU3iT","j6KbS9IVIdWReQkag3Own9XS1YGBCt4L2j070YonBV4T"]:
#if request.args.get("token") not in ["j6KbS9IVIdWReQkag3Own9XS1YGBCt4L2j070YonBV4T","CAQ37QdFa2WtSMPDjq7qPn6ovyewGhUzbB2j6se6vcC4", "Pjvu03ocfsZSY7oQRXMHl5wagGltRhMkhUj0X0SI6CHo"]:
cur2 = db_connector.cursor()
cur2.execute("SELECT ID FROM Cuenta WHERE Fecha_fin >= now() AND Token = '{}' LIMIT 1".format(request.args.get("token")))
cuenta = cur2.fetchall()
if request.args.get("token") not in lista_token:
cur.close()
cur2.close()
db_connector.close()
return {"success":False,"error":"403 Not authorized"},403 return {"success":False,"error":"403 Not authorized"},403
#print(data) if not cuenta:
cur.close()
cur2.close()
db_connector.close()
return {"success":False,"error":"403 expired"},403
print(data)
if not (request.args.get("site")):
cur2.execute("SELECT ID FROM Cuenta WHERE Fecha_fin > (date(now()) + interval 1 day) AND Token = '{}' and Total_Consultas > 0 LIMIT 1".format(request.args.get("token")))
valido = cur2.fetchall()
if(valido):
cur2.execute("update Cuenta set Total_consultas = Total_consultas-1 where Token = '{}'".format(request.args.get("token")))
else:
cur.close()
db_connector.close()
return {"success":False,"error":"Limite de consultas alcanzado, contacta a soporte en helpdesk@condorbs.net"},403
db_connector.commit()
if not (request.args.get("id")):
idUsuario = 0
else:
idUsuario = request.args.get("id")
if not (request.args.get("status")):
lestatus = "null"
else:
lestatus = request.args.get("status")
if not (request.args.get("similarity")):
lesim = 0.8
else:
lesim = request.args.get("similarity")
#print("pasamos la validacion")
#print("insert into LogBuscaApi (FechaConsulta, IdCompañia, IdUsuario, Nombre, RFC, Similitud, Status) values (now(), (SELECT ID FROM Cuenta WHERE TOKEN = '{}' LIMIT 1), {}, '{}', '{}', {}, {})".format(request.args.get("token"), idUsuario, request.args.get("name"), request.args.get("rfc"), request.args.get("similarity"), lestatus))
def __match(data): def __match(data):
prohibidos = ["EL","LA", "LOS", "LAS", "UN", "UNO", "UNA", "UNOS", "UNAS", "SA", "S", "DE", "RL", "CV", "UC"];
#prohibidos = [];
matched_names = []; matched_aliases = [] matched_names = []; matched_aliases = []
for sname in sorted(data['name'].upper().split(' '),key=len)[-2:]: for sname in sorted(data['name'].replace(".","").upper().split(' '),key=len):
tmp_f = f"tmp-{sname}-{int(time.time())}" #print(sname);
os.system("agrep -1 -e '%s' names > %s-n"%(sname,tmp_f)) sname2 = sname.replace("'","")
os.system("agrep -1 -e '%s' aliases > %s-a"%(sname,tmp_f)) sname3 = sname.replace("'",".")
tmp_f = f"tmp-{sname2}-{int(time.time())}"
if(sname not in prohibidos):
print(sname);
#os.system("agrep -1 -e '%s' names > %s-n"%(sname,tmp_f))
#os.system("agrep -1 -e '%s' aliases > %s-a"%(sname,tmp_f))
#os.system("parallel agrep -1 -e '%s' ::: names.aa names.ab names.ac names.ad names.ae names.af names.ag names.ah > %s-n"%(sname,tmp_f))
#os.system("parallel agrep -1 -e '%s' ::: aliases > %s-a"%(sname,tmp_f))
os.system('cat names | parallel --pipe agrep -1 -e "%s" >> %s-n'%(sname3,tmp_f))
if(len(sname) > 3):
os.system('cat aliases | parallel --pipe agrep -3 -e "%s" >> %s-a'%(sname3,tmp_f))
else:
os.system('cat aliases | parallel --pipe agrep -1 -e "%s" >> %s-a'%(sname3,tmp_f))
# else:
# os.system("cat names | grep '%s' >> %s-n"%(sname,tmp_f))
# os.system("cat aliases | grep '%s' > %s-a"%(sname,tmp_f))
with open(f"{tmp_f}-n",'r') as tmp_ff: with open(f"{tmp_f}-n",'r') as tmp_ff:
for row in tmp_ff: matched_names.append(row[:-1]) for row in tmp_ff: matched_names.append(row[:-1].replace("'","''"))
with open(f"{tmp_f}-a",'r') as tmp_ff: with open(f"{tmp_f}-a",'r') as tmp_ff:
for row in tmp_ff: matched_aliases.append(row[:-1]) for row in tmp_ff: matched_aliases.append(row[:-1].replace("'","''"))
#print(matched_names) #print(matched_names)
os.remove(f"{tmp_f}-n"); os.remove(f"{tmp_f}-a") os.system("rm tmp*")
db_connector = sqlite3.connect("/var/globalists/lists.db") db_connector = sqlite3.connect("/var/globalists/lists.db")
db_cursor = db_connector.cursor() db_cursor = db_connector.cursor()
db_sentence = "SELECT substr(id,0,4) as list,nombre as name,alias,ubicacion as location,fechanac as birth_date,pais as nationality,rfc,programa as program,cargo as position,dependencia as department,fechapub as publication_date,estatus as status FROM lst WHERE " #db_sentence = "select distinct nombre from lst;"
#db_cursor.execute(db_sentence)
#nombres_base = db_cursor.fetchall()
#for sname in sorted(data['name'].upper().split(' '),key=len)[-2:]:
#for nombre in nombres_base:
#print(os.system("echo '%s' | parallel --pipe --block 3M agrep -1 -e '%s'"%(nombre[0],sname)))
db_sentence = "SELECT REPLACE(substr(id,0,5), '-', '') as list,nombre as name,alias,ubicacion as location,fechanac as birth_date,pais as nationality,rfc,programa as program,cargo as position,dependencia as department,fechapub as publication_date,estatus as status FROM lst WHERE "
#nms = [nm for nm in matched_names if fuzz.token_set_ratio(data["name"].upper(),nm)>80] #nms = [nm for nm in matched_names if fuzz.token_set_ratio(data["name"].upper(),nm)>80]
#als = [nm for nm in matched_aliases if fuzz.token_set_ratio(data["name"].upper(),nm)>80] #als = [nm for nm in matched_aliases if fuzz.token_set_ratio(data["name"].upper(),nm)>80]
nms = {nm:fuzz.token_set_ratio(data["name"].upper(),nm) for nm in matched_names} nms = {nm:fuzz.token_set_ratio(data["name"],nm.replace("''","'")) for nm in matched_names}
als = {nm:fuzz.token_set_ratio(data["name"].upper(),nm) for nm in matched_aliases} als = {nm:fuzz.token_set_ratio(data["name"],nm.replace("''","'")) for nm in matched_aliases}
nms = {nm:nmp for nm,nmp in nms.items() if nmp>100*float(data["similarity"] or 0.8)} nms = {nm:nmp for nm,nmp in nms.items() if nmp>=100*float(data["similarity"] or 0.8)}
als = {nm:nmp for nm,nmp in als.items() if nmp>100*float(data["similarity"] or 0.8)} als = {nm:nmp for nm,nmp in als.items() if nmp>=100*float(data["similarity"] or 0.8)}
#print(nms) #print(nms)
db_sentence+="( nombre IN ("+",".join([f"'{nm}'" for nm in nms])+")" db_sentence+="( nombre IN ("+",".join([f"'{nm}'" for nm in nms])+")"
db_sentence+=" OR alias IN ("+",".join([f"'{nm}'" for nm in als])+") )" db_sentence+=" OR alias IN ("+",".join([f"'{nm}'" for nm in als])+") )"
db_sent_2 =" AND ".join([f"{fields[field]} LIKE '%{data[field]}%'" for field in fields if (data[field] and field!="name")]) db_sent_2 =" AND ".join([f"{fields[field]} LIKE '%{data[field]}%'" for field in fields if (data[field] and field!="name")])
db_sentence+=" AND "+db_sent_2+";" if db_sent_2 else ";" db_sentence+=" AND "+db_sent_2+";" if db_sent_2 else ";"
print(db_sentence) #print(db_sentence)
db_cursor.execute(db_sentence) db_cursor.execute(db_sentence)
table = [{db_cursor.description[k][0]:row[k] for k in range(len(row))} for row in db_cursor.fetchall()] table = [{db_cursor.description[k][0]:row[k] for k in range(len(row))} for row in db_cursor.fetchall()]
for row in table:
row['name_similarity'] = nms.get(row['name'],0.0)/100.0
row['alias_similarity'] = als.get(row['alias'],0.0)/100.0
#print(table)
db_cursor.close(); db_connector.close() db_cursor.close(); db_connector.close()
#if(request.args.get("name").casefold() == 'ENRIQUE FRANCISCO GALINDO CEBALLOS'.casefold()):
#db_sentence = "SELECT REPLACE(substr(id,0,5), '-', '') as list,nombre as name,alias,ubicacion as location,fechanac as birth_date,pais as nationality,rfc,programa as program,cargo as position,dependencia as department,fechapub as publication_date,estatus as status FROM lst WHERE nombre = 'ENRIQUE FRANCISCO GALINDO CEBALLOS';"
#db_cursor.execute(db_sentence)
#table2 = [{db_cursor.description[k][0]:row[k] for k in range(len(row))} for row in db_cursor.fetchall()]
#print([db_cursor.description[k][0]:row[k] for k in range(len(row))] for row in db_cursor.fetchall())
#print("aqui empieza la otra tabla, ver que show")
#print(table)
global contador_resultados
for row in table:
if(row['name']):
row['name_similarity'] = nms.get(row['name'].replace("'","''"),0.0)/100.0
else:
row['name_similarity'] = nms.get(row['name'],0.0)/100.0
if(row['alias']):
row['alias_similarity'] = als.get(row['alias'].replace("'","''"),0.0)/100.0
else:
row['alias_similarity'] = als.get(row['alias'],0.0)/100.0
contador_resultados = contador_resultados + 1
#if(request.args.get("name").casefold() == 'ENRIQUE FRANCISCO GALINDO CEBALLOS'.casefold()):
#for row in table2:
#row['name_similarity'] = 1
#row['alias_similarity'] = als.get(row['alias'],0.0)/100.0
#for t in table2:
#table.append(t)
table.sort(reverse=True,key=myFunc);
#print(table)
response_queue.put(table) response_queue.put(table)
thread = Process(target=__match,args=(data,),daemon=True) thread = Process(target=__match,args=(data,),daemon=True)
thread.run() thread.run()
#resultados = response_queue.get()
global contador_resultados
cur.execute("insert into LogBuscaApi (FechaConsulta, IdCompañia, IdUsuario, Nombre, RFC, Similitud, Status, Resultados) values (now(), (SELECT ID FROM Cuenta WHERE TOKEN = '{}' LIMIT 1), {}, '{}', '{}', {}, {}, {})".format(request.args.get("token"), idUsuario, request.args.get("name").replace("'","''"), request.args.get("rfc"), lesim, lestatus, contador_resultados))
print(contador_resultados)
contador_resultados = 0
db_connector.commit()
cur.close()
cur2.close
db_connector.close()
return jsonify({"success":True,"payload":response_queue.get()}) return jsonify({"success":True,"payload":response_queue.get()})
@app.route("/face_match",subdomain="api", methods=['GET','POST','PUT','DELETE','TRACE','HEAD','OPTIONS']) #@app.route("/face_match",subdomain="api", methods=['GET','POST','PUT','DELETE','TRACE','HEAD','OPTIONS'])
def face_match(): #def face_match():
fields = ["token","target","candidate"] # fields = ["token","target","candidate"]
data = {field:request.args.get(field) for field in fields} # data = {field:request.args.get(field) for field in fields}
#if not all(request.args.get(field) for field in fields): return {"success":False,"error":"400 Bad Request"},400 #if not all(request.args.get(field) for field in fields): return {"success":False,"error":"400 Bad Request"},400
if request.method != 'POST': return {"success":False,"error":"405 Method Not Allowed"},405 # if request.method != 'POST': return {"success":False,"error":"405 Method Not Allowed"},405
if request.args.get("token") != "7bvij07Js7Da0ij5VzWTib6AOAv7J9kShu3HM3BTU3iT": # if request.args.get("token") != "7bvij07Js7Da0ij5VzWTib6AOAv7J9kShu3HM3BTU3iT":
return {"success":False,"error":"403 Not authorized"},403 #abort(403) # return {"success":False,"error":"403 Not authorized"},403 #abort(403)
target_f = request.files["target"] # target_f = request.files["target"]
candidate_f = request.files["candidate"] # candidate_f = request.files["candidate"]
# breakpoint() # breakpoint() este estaba comentado
target_f.save("target.jpg");candidate_f.save("target2.jpg") # target_f.save("target.jpg");candidate_f.save("target2.jpg")
target_enc = face_recognition.face_encodings(face_recognition.load_image_file(target_f)) # target_enc = face_recognition.face_encodings(face_recognition.load_image_file(target_f))
candidate_enc = face_recognition.face_encodings(face_recognition.load_image_file(candidate_f)) # candidate_enc = face_recognition.face_encodings(face_recognition.load_image_file(candidate_f))
if len(target_enc)==0 or len(candidate_enc)==0: # if len(target_enc)==0 or len(candidate_enc)==0:
return jsonify({"success":False,"error":"No faces found"}) # return jsonify({"success":False,"error":"No faces found"})
results = face_recognition.compare_faces(candidate_enc,target_enc[0]) # results = face_recognition.compare_faces(candidate_enc,target_enc[0])
return jsonify({"success":True,"payload":results[0]}) # return jsonify({"success":True,"payload":results[0]})
app.run(host="0.0.0.0",port=443,ssl_context=("./fullchain.pem","./privkey.pem"),debug=True) #app.run(host="0.0.0.0",port=2443,ssl_context=("/etc/letsencrypt/live/condorgl.net/fullchain.pem","/etc/letsencrypt/live/condorgl.net/privkey.pem"),debug=True)
if __name__ == '__main__':
app.run(host="0.0.0.0",port=2443,debug=True)
#import wsgiserver #import wsgiserver
#server = wsgiserver.WSGIServer(app,host="0.0.0.0",port=5000,certfile='./fullchain.pem',keyfile='./privkey.pem') #server = wsgiserver.WSGIServer(app,host="0.0.0.0",port=5000,certfile='./fullchain.pem',keyfile='./privkey.pem')
#server.start() #server.start()

132
serve_api.py0
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@ -1,132 +0,0 @@
#!/usr/bin/python3.7
import os
import csv
import json
import time
import sqlite3
import hashlib
import flask
from flask import Flask
from flask import request
from flask import jsonify
from flask import abort
from flask_cors import CORS
from fuzzywuzzy import fuzz
from multiprocessing import Process, Queue
import face_recognition
#from fset import fset
#from flask_security import auth_token_required
#from werkzeug.http import HTTP_STATUS_CODES
#def error_response(status_code, message=None):
# payload = {'error': HTTP_STATUS_CODES.get(status_code, 'Unknown error')}
# if message:
# payload['message'] = message
# response = jsonify(payload)
# response.status_code = status_code
# return response
#def tobs66(st):
# bs64=" 0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
# acc=[(u'á','a'),(u'é','e',u'í','i'),(u'ó','o'),(u'ú','u'),(u'Á','A'),(u'É','E'),(u'Í','I'),(u'Ó','O'),(u'Ú','U'),('.',' '),(',',' '),(':',' '),(';',' '),('\n',' '),('\t',' '),('-',' '),('"',' '),("'",' ')]
# for r in acc: st=st.replace(r[0],r[1])
# return "".join(c for c in st if c in bs64 or c in [u'ñ',u'Ñ'])
#db_connector = sqlite3.connect("/var/lib/exp/praxis/lists.db")
#db_cursor = db_connector.cursor()
#db_sentence = "SELECT id,nombre,alias FROM lst ;"
#db_cursor.execute(db_sentence)
#names = fset((row[1] for row in db_cursor.fetchall()))
#names = [row for row in db_cursor.fetchall()]
#phph = lambda nnmm:nnmm.replace('LL',u'Ж').replace('RR',u'Р').replace('CH',u'Ч')
#names_ph = {nm[1]:phph(nm[1]) for nm in names}
#db_cursor.close(); db_connector.close()
app = Flask(__name__,subdomain_matching=True)
CORS(app)
#app.config['SECURITY_TOKEN_AUTHENTICATION_KEY'] = '7bvij07Js7Da0ij5VzWTib6AOAv7J9kShu3HM3BTU3iT'
#print(app.config['SECURITY_TOKEN_AUTHENTICATION_HEADER'])
#print(app.config['SECURITY_TOKEN_AUTHENTICATION_KEY'])
app.config["SERVER_NAME"] = "condorgl.net"
@app.route("/")
def rootr(): return ""
@app.route("/login",subdomain="auth",methods=['POST'])
def login():
return jsonify({"success":request.form["username"] in ["aeespinosa","cobra"] and request.form["password"] in ["test"],"payload":{}})
@app.route("/",subdomain="globalists")
@app.route("/<path:wp>",subdomain="globalists")
def webapp(wp="index.html"): return app.send_static_file("globalists/"+wp+"index.html" if wp.endswith('/') else "globalists/"+wp)
@app.route("/",subdomain="mneural")
@app.route("/<path:wp>",subdomain="mneural")
def webapp2(wp="index.html"): return app.send_static_file("mneural/"+wp+"index.html" if wp.endswith('/') else "mneural/"+wp)
response_queue = Queue()
@app.route("/match",subdomain="api", methods=['GET','POST','PUT','DELETE','TRACE','HEAD','OPTIONS'])
#@auth_token_required
def match():
fields = {"name":"nombre","nationality":"pais","rfc":"rfc","status":"estatus"}
data = {field:request.args.get(field) for field in list(fields)+["similarity"]}
if not (request.args.get("token") and (request.args.get("name") or request.args.get("rfc"))): return {"success":False,"error":"400 Bad Request"},400
if request.method != 'GET': return {"success":False,"error":"405 Method Not Allowed"},405
if request.args.get("token") not in ["7bvij07Js7Da0ij5VzWTib6AOAv7J9kShu3HM3BTU3iT","j6KbS9IVIdWReQkag3Own9XS1YGBCt4L2j070YonBV4T"]:
return {"success":False,"error":"403 Not authorized"},403
#print(data)
def __match(data):
matched_names = []; matched_aliases = []
for sname in sorted(data['name'].upper().split(' '),key=len)[-2:]:
tmp_f = f"tmp-{sname}-{int(time.time())}"
os.system("agrep -1 -e '%s' names > %s-n"%(sname,tmp_f))
os.system("agrep -1 -e '%s' aliases > %s-a"%(sname,tmp_f))
with open(f"{tmp_f}-n",'r') as tmp_ff:
for row in tmp_ff: matched_names.append(row[:-1])
with open(f"{tmp_f}-a",'r') as tmp_ff:
for row in tmp_ff: matched_aliases.append(row[:-1])
#print(matched_names)
os.remove(f"{tmp_f}-n"); os.remove(f"{tmp_f}-a")
db_connector = sqlite3.connect("/var/globalists/lists.db")
db_cursor = db_connector.cursor()
db_sentence = "SELECT substr(id,0,4) as list,nombre as name,alias,ubicacion as location,fechanac as birth_date,pais as nationality,rfc,programa as program,cargo as position,dependencia as department,fechapub as publication_date,estatus as status FROM lst WHERE "
#nms = [nm for nm in matched_names if fuzz.token_set_ratio(data["name"].upper(),nm)>80]
#als = [nm for nm in matched_aliases if fuzz.token_set_ratio(data["name"].upper(),nm)>80]
nms = {nm:fuzz.token_set_ratio(data["name"].upper(),nm) for nm in matched_names}
als = {nm:fuzz.token_set_ratio(data["name"].upper(),nm) for nm in matched_aliases}
nms = {nm:nmp for nm,nmp in nms.items() if nmp>100*float(data["similarity"] or 0.8)}
als = {nm:nmp for nm,nmp in als.items() if nmp>100*float(data["similarity"] or 0.8)}
#print(nms)
db_sentence+="( nombre IN ("+",".join([f"'{nm}'" for nm in nms])+")"
db_sentence+=" OR alias IN ("+",".join([f"'{nm}'" for nm in als])+") )"
db_sent_2 =" AND ".join([f"{fields[field]} LIKE '%{data[field]}%'" for field in fields if (data[field] and field!="name")])
db_sentence+=" AND "+db_sent_2+";" if db_sent_2 else ";"
print(db_sentence)
db_cursor.execute(db_sentence)
table = [{db_cursor.description[k][0]:row[k] for k in range(len(row))} for row in db_cursor.fetchall()]
for row in table:
row['name_similarity'] = nms.get(row['name'],0.0)/100.0
row['alias_similarity'] = als.get(row['alias'],0.0)/100.0
#print(table)
db_cursor.close(); db_connector.close()
response_queue.put(table)
thread = Process(target=__match,args=(data,),daemon=True)
thread.run()
return jsonify({"success":True,"payload":response_queue.get()})
@app.route("/face_match",subdomain="api", methods=['GET','POST','PUT','DELETE','TRACE','HEAD','OPTIONS'])
def face_match():
fields = ["token","target","candidate"]
data = {field:request.args.get(field) for field in fields}
#if not all(request.args.get(field) for field in fields): return {"success":False,"error":"400 Bad Request"},400
if request.method != 'POST': return {"success":False,"error":"405 Method Not Allowed"},405
if request.args.get("token") != "7bvij07Js7Da0ij5VzWTib6AOAv7J9kShu3HM3BTU3iT":
return {"success":False,"error":"403 Not authorized"},403 #abort(403)
target_f = request.files["target"]
candidate_f = request.files["candidate"]
# breakpoint()
target_f.save("target.jpg");candidate_f.save("target2.jpg")
target_enc = face_recognition.face_encodings(face_recognition.load_image_file(target_f))
candidate_enc = face_recognition.face_encodings(face_recognition.load_image_file(candidate_f))
if len(target_enc)==0 or len(candidate_enc)==0:
return jsonify({"success":False,"error":"No faces found"})
results = face_recognition.compare_faces(candidate_enc,target_enc[0])
return jsonify({"success":True,"payload":results[0]})
app.run(host="0.0.0.0",port=443,ssl_context=("./fullchain.pem","./privkey.pem"),debug=True)
#import wsgiserver
#server = wsgiserver.WSGIServer(app,host="0.0.0.0",port=5000,certfile='./fullchain.pem',keyfile='./privkey.pem')
#server.start()

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