def post(self):
"""
Request: None
Response: SubmissionDesc (Token)
Errors: ContextIdNotFound, InvalidInputFormat, SubmissionValidationFailure
This API create a Token, a temporary memory only object able to keep
track of the submission. If the system is under stress, complete the
submission will require some actions to be performed before the
submission can be concluded (e.g. hashcash and captchas).
"""
if not GLSettings.memory_copy.accept_submissions:
raise errors.SubmissionDisabled
request = self.validate_message(self.request.body,
requests.SubmissionDesc)
token = Token('submission', request['context_id'])
token.set_difficulty(Alarm().get_token_difficulty())
token_answer = token.serialize_token()
token_answer.update({'id': token_answer['token_id']})
token_answer.update({'context_id': request['context_id']})
token_answer.update({'receivers': []})
token_answer.update({'answers': {}})
token_answer.update({'human_captcha_answer': 0})
token_answer.update({'graph_captcha_answer': ""})
token_answer.update({'proof_of_work': 0})
self.set_status(201) # Created
self.finish(token_answer)
def post(self):
"""
Request: SubmissionDesc
Response: SubmissionDesc
Errors: ContextIdNotFound, InvalidInputFormat, SubmissionFailFields
This creates an empty submission for the requested context,
and returns submissionStatus with empty fields and a Submission Unique String,
This is the unique token used during the submission procedure.
header session_id is used as authentication secret for the next interaction.
expire after the time set by Admin (Context dependent setting)
--- has to became:
Request: empty
Response: SubmissionDesc + Token
Errors: None
This create a Token, require to complete the submission later
"""
request = self.validate_message(self.request.body, requests.SubmissionDesc)
token = Token('submission', request['context_id'])
token.set_difficulty(Alarm().get_token_difficulty())
token_answer = token.serialize_token()
token_answer.update({'id': token_answer['token_id']})
token_answer.update({'context_id': request['context_id']})
token_answer.update({'human_captcha_answer': 0})
self.set_status(201) # Created
self.finish(token_answer)
def post(self):
"""
Request: None
Response: SubmissionDesc (Token)
Errors: ContextIdNotFound, InvalidInputFormat, SubmissionValidationFailure
This API create a Token, a temporary memory only object able to keep
track of the submission. If the system is under stress, complete the
submission will require some actions to be performed before the
submission can be concluded (e.g. hashcash and captchas).
"""
if not GLSettings.memory_copy.accept_submissions:
raise errors.SubmissionDisabled
request = self.validate_message(self.request.body, requests.SubmissionDesc)
token = Token('submission', request['context_id'])
token.set_difficulty(Alarm().get_token_difficulty())
token_answer = token.serialize_token()
token_answer.update({'id': token_answer['token_id']})
token_answer.update({'context_id': request['context_id']})
token_answer.update({'receivers': []})
token_answer.update({'answers': {}})
token_answer.update({'human_captcha_answer': 0})
token_answer.update({'graph_captcha_answer': ""})
token_answer.update({'proof_of_work': 0})
self.set_status(201) # Created
self.finish(token_answer)
def test_token_obj_zero_stress(self):
# This is at the beginning
anomaly.EventTrackQueue.reset()
# Token submission
st = Token('submission', context_id="ignored")
st.set_difficulty(TestToken.shared_alarm_obj.get_token_difficulty())
for indicator in TestToken.stress_indicator:
self.assertFalse(getattr(st, indicator), indicator)
st_dict = st.serialize_token()
self.assertEqual(st_dict['remaining_allowed_attempts'], Token.MAXIMUM_ATTEMPTS_PER_TOKEN)
def test_token_obj_zero_stress(self):
# This is at the beginning
event.EventTrackQueue.reset()
# Token submission
st = Token('submission', context_id="ignored")
st.set_difficulty(TestToken.shared_alarm_obj.get_token_difficulty())
for indicator in TestToken.stress_indicator:
self.assertFalse(getattr(st, indicator), indicator)
st_dict = st.serialize_token()
self.assertEqual(st_dict['remaining_allowed_attempts'],
Token.MAXIMUM_ATTEMPTS_PER_TOKEN)
def test_token_obj_level1_stress(self):
mock_high_difficulty = {"human_captcha": True, "graph_captcha": True, "proof_of_work": True}
# Token submission
st = Token("submission", context_id="ignored")
st.set_difficulty(mock_high_difficulty)
st_dict = st.serialize_token()
if st.graph_captcha:
self.assertTrue(st.graph_captcha.has_key("answer"))
self.assertTrue(isinstance(st.graph_captcha["answer"], list))
if st.human_captcha:
self.assertTrue(st.human_captcha.has_key("answer"))
self.assertTrue(isinstance(st.human_captcha["answer"], unicode))
self.assertEqual(st_dict["remaining_allowed_attempts"], Token.MAXIMUM_ATTEMPTS_PER_TOKEN)
def test_token_obj_level1_stress(self):
mock_high_difficulty = {
'human_captcha': True,
'graph_captcha': True,
'proof_of_work': True,
}
# Token submission
st = Token('submission', context_id='ignored')
st.set_difficulty(mock_high_difficulty)
st_dict = st.serialize_token()
if st.graph_captcha:
self.assertTrue(st.graph_captcha.has_key('answer'))
self.assertTrue(isinstance(st.graph_captcha['answer'], list))
if st.human_captcha:
self.assertTrue(st.human_captcha.has_key('answer'))
self.assertTrue(isinstance(st.human_captcha['answer'], unicode))
self.assertEqual(st_dict['remaining_allowed_attempts'], Token.MAXIMUM_ATTEMPTS_PER_TOKEN)
def test_token_obj_level1_stress(self):
mock_high_difficulty = {
'human_captcha': True,
'graph_captcha': True,
'proof_of_work': True,
}
# Token submission
st = Token('submission', context_id='ignored')
st.set_difficulty(mock_high_difficulty)
st_dict = st.serialize_token()
if st.graph_captcha:
self.assertTrue(st.graph_captcha.has_key('answer'))
self.assertTrue(isinstance(st.graph_captcha['answer'], list))
if st.human_captcha:
self.assertTrue(st.human_captcha.has_key('answer'))
self.assertTrue(isinstance(st.human_captcha['answer'], unicode))
self.assertEqual(st_dict['remaining_allowed_attempts'],
Token.MAXIMUM_ATTEMPTS_PER_TOKEN)
