recaptcha commented

NMTF_link.py

@@ -11,7 +11,6 @@
 from scripts.processNetwork import runNetworkRE, runNetworkMM
 
 warnings.filterwarnings('ignore')
-
 if __name__ == '__main__':
  matplotlib.use('agg')
 
@@ -68,8 +67,11 @@ def predict(num_iterations, th, network=None, rng=np.random.default_rng()):
  try:
  max_iter_value = graph_topology["number.of.iterations"]
  max_iter = int(max_iter_value)
+ if max_iter > MAX_ITER:
+ raise ValueError()
  except ValueError:
- print(f"Invalid number of iteration {max_iter_value}, set default value {max_iter}")
+ max_iter = MAX_ITER
+ print(f"Invalid number of iteration {max_iter_value}, set default value {MAX_ITER}")
 
  try:
  threshold = graph_topology["score.threshold"]
@@ -128,6 +130,12 @@ def predict(num_iterations, th, network=None, rng=np.random.default_rng()):
  best_epsilon_arr = []
  ss = np.random.SeedSequence()
  # Spawn off 10 child SeedSequences to pass to child processes.
+ # completamente indipendenti dato che usiamo numpy = 1.18 farò riferimento a
+ # https://albertcthomas.github.io/good-practices-random-number-generators/
+ # è necessitata SeedSequence spawing https://numpy.org/doc/1.18/reference/random/parallel.html
+ # essa implementa un algoritmo che garantisce un'alta probabilità che due seed genrati vicini sian
+ # molto diversi.
+ # SeedSequence avoids these problems by using successions of integer hashes with good avalanche properties
  child_seeds = ss.spawn(N_ITERATIONS + 1)
  streams = [np.random.default_rng(s) for s in child_seeds]
  processes = list()
@@ -144,19 +152,6 @@ def predict(num_iterations, th, network=None, rng=np.random.default_rng()):
 
  print("best_epsilon_arr: "+str(best_epsilon_arr))
 
- # completamente indipendenti dato che usiamo numpy = 1.18 farò riferimento a
- # https://albertcthomas.github.io/good-practices-random-number-generators/
- # è necessitata SeedSequence spawing https://numpy.org/doc/1.18/reference/random/parallel.html
- # essa implementa un algoritmo che garantisce un'alta probabilità che due seed genrati vicini sian
- # molto diversi.
- # SeedSequence avoids these problems by using successions of integer hashes with good avalanche properties
- """
- ss = SeedSequence(12345)
- # Spawn off 10 child SeedSequences to pass to child processes.
- child_seeds = ss.spawn(10)
- streams = [default_rng(s) for s in child_seeds]
- stream[x].random() # generate np.float64 random number between 0. and 1.
- """
  complete_plot(metric)
 
  res_best_epsilon = statistics.median(best_epsilon_arr)

app.py

@@ -11,8 +11,8 @@
 app.config['MAX_CONTENT_LENGTH'] = 8 * 1024 * 1204 # 8 MB max file size / error 413
 app.config['SOCK_SERVER_OPTIONS'] = {'ping_interval': 25} # 'max_message_size': 10240} # websocket options
 app.config['MAX_NUM_FILES'] = 10 # Max number of files that can be elaborated
-app.config['RECAPTCHA_SITE_KEY'] = "6LcmdFgmAAAAAG7NkCZUq71j1Kh9rUENWa44R7Fm" # Site key for g-recaptcha v3
-app.config['RECAPTCHA_SECRET_KEY'] = "6LcmdFgmAAAAAOTksc1WGWIGExkPWjVa0LfYd5qn" # Secret key for g-recaptcha v3
+app.config['RECAPTCHA_SITE_KEY'] = "" # Site key for g-recaptcha v3
+app.config['RECAPTCHA_SECRET_KEY'] = "" # Secret key for g-recaptcha v3
 app.config['RECAPTCHA_VERIFY_URL'] = "https://www.google.com/recaptcha/api/siteverify" # g-recaptcha verify url
 sock = Sock(app) # websocket initialization
 
@@ -164,6 +164,7 @@ def create_set_file(req, files):
  leftNodes = req.getlist("nodes.left")
  rightNodes = req.getlist("nodes.right")
  main = req["main"]
+ print("main", main)
  fileString += " graph.datasets:\n"
  for i in range(len(files)):
  fileString += " - nodes.left: " + leftNodes[i] + "\n"
@@ -175,6 +176,7 @@ def create_set_file(req, files):
  else:
  fileString += "0"
  fileString += "\n"
+ print(fileString)
  unique = new_unique_name()
  create_dir(unique)
  try:
@@ -204,10 +206,12 @@ def loader():
  If the form is not consistent an error page 400 is returned. If test recaptcha failed error page 401 is
  returned.
  """
- recaptcha_test = requests.post(url=f"{app.config['RECAPTCHA_VERIFY_URL']}" +
- f"?secret={app.config['RECAPTCHA_SECRET_KEY']}" +
- f"&response={request.form['g-recaptcha-response']}").json()
- if recaptcha_test["success"]:
+ # Uncomment this part and configure the app.config['RECAPTCHA_SECRET_KEY'] and app.config['RECAPTCHA_SITE_KEY']
+ # to activate the recaptcha test
+ # recaptcha_test = requests.post(url=f"{app.config['RECAPTCHA_VERIFY_URL']}" +
+ # f"?secret={app.config['RECAPTCHA_SECRET_KEY']}" +
+ # f"&response={request.form['g-recaptcha-response']}").json()
+ if True: # recaptcha_test["success"]:
  unique = ""
  set_file = request.files["sfile"]
  files = request.files.getlist("afiles")
@@ -232,7 +236,7 @@ def loader():
  else:
  filesNames = list(map(lambda f: f.filename, files))
  unique = create_set_file(request.form, filesNames)
- if unique is not None:
+ if unique is not None and check_files(files):
  save_files(files, unique)
  add_to_unique_not_used(unique)
  else:

files_management.py

@@ -8,7 +8,7 @@
 from werkzeug.utils import secure_filename
 
 ROUTINE_S = 30 # 2 minutes
-FILE_LIFE_S = 60 * 1 # 20 minutes
+FILE_LIFE_S = 60 * 2 # 2 minutes
 UNIQUE_NOT_USED_LIFE = 30 # 1 minute
 ROUTINE_UNIQUE_NOT_USED = 30 # 30 seconds
 Uniques = set() # HashMap containing unique dir names

networkx-yer-or-no.txt

@@ -1,5 +1,3 @@
-# graph_topology.yaml
-
 Websocket connection opened!
 nmtf app lunched
 metric : APS