def profiling_fraud_score(user: User,
body: serializers.UserProfilingFraudRequest) -> None:
handler = user_profiling.UserProfilingClient()
try:
profiling_infos = handler.get_user_profiling_fraud_data(
session_id=body.session_id,
user_id=user.id,
user_email=user.email,
birth_date=user.dateOfBirth.date() if user.dateOfBirth else None,
phone_number=user.phoneNumber,
workflow_type=user_profiling.WorkflowType.BENEFICIARY_VALIDATION,
# depends on loadbalancer configuration
ip_address=request.headers.get("X-Forwarded-For"),
line_of_business=user_profiling.LineOfBusiness.B2C,
# Insert request unique identifier
transaction_id=get_or_set_correlation_id(),
agent_type=user_profiling.AgentType.AGENT_MOBILE,
)
except user_profiling.BaseUserProfilingException:
logger.exception("Error while retrieving user profiling infos",
exc_info=True)
else:
logger.info("Success when profiling user: returned userdata %r",
profiling_infos.dict())
fraud_api.on_user_profiling_result(user, profiling_infos)
def test_get_profiling_data(requests_mock):
matcher = requests_mock.register_uri(
"POST", settings.USER_PROFILING_URL, json=user_profiling_fixtures.CORRECT_RESPONSE, status_code=200
)
handler = user_profiling.UserProfilingClient()
profiling_data = handler.get_user_profiling_fraud_data(
session_id="fake-session-id",
user_id="fake-user-id",
user_email="*****@*****.**",
birth_date=datetime.date(1999, 6, 5),
phone_number="+33712345678",
workflow_type=user_profiling.WorkflowType.BENEFICIARY_VALIDATION,
ip_address="127.0.0.1",
line_of_business=user_profiling.LineOfBusiness.B2B,
transaction_id="random-transaction-id",
agent_type=user_profiling.AgentType.AGENT_MOBILE,
)
assert isinstance(profiling_data, fraud_models.UserProfilingFraudData)
assert profiling_data.account_email_result == user_profiling_fixtures.CORRECT_RESPONSE["account_email_result"]
assert profiling_data.account_email_score == int(user_profiling_fixtures.CORRECT_RESPONSE["account_email_score"])
assert (
profiling_data.account_telephone_result == user_profiling_fixtures.CORRECT_RESPONSE["account_telephone_result"]
)
assert profiling_data.account_telephone_score == int(
user_profiling_fixtures.CORRECT_RESPONSE["account_telephone_score"]
)
assert profiling_data.bb_bot_rating == user_profiling_fixtures.CORRECT_RESPONSE["bb_bot_rating"]
assert profiling_data.bb_bot_score == float(user_profiling_fixtures.CORRECT_RESPONSE["bb_bot_score"])
assert profiling_data.bb_fraud_rating == user_profiling_fixtures.CORRECT_RESPONSE["bb_fraud_rating"]
assert profiling_data.bb_fraud_score == float(user_profiling_fixtures.CORRECT_RESPONSE["bb_fraud_score"])
assert profiling_data.digital_id_result == user_profiling_fixtures.CORRECT_RESPONSE["digital_id_result"]
assert profiling_data.digital_id_trust_score == float(
user_profiling_fixtures.CORRECT_RESPONSE["digital_id_trust_score"]
)
assert (
profiling_data.digital_id_trust_score_rating
== user_profiling_fixtures.CORRECT_RESPONSE["digital_id_trust_score_rating"]
)
assert profiling_data.digital_id_confidence == int(
user_profiling_fixtures.CORRECT_RESPONSE["digital_id_confidence"]
)
assert (
profiling_data.digital_id_confidence_rating
== user_profiling_fixtures.CORRECT_RESPONSE["digital_id_confidence_rating"]
)
assert matcher.call_count == 1
request_body = matcher.last_request.json()
assert request_body["session_id"] == "fake-session-id"
assert request_body["account_email"] == "*****@*****.**"
assert request_body["customer_event_type"] == user_profiling.WorkflowType.BENEFICIARY_VALIDATION.value
assert request_body["line_of_business"] == user_profiling.LineOfBusiness.B2B.value
assert request_body["condition_attrib_5"] == user_profiling.AgentType.AGENT_MOBILE.value
def test_get_profiling_data_error(requests_mock):
requests_mock.register_uri("POST", settings.USER_PROFILING_URL, json={}, status_code=500)
handler = user_profiling.UserProfilingClient()
with pytest.raises(user_profiling.UserProfilingHTTPError):
handler.get_user_profiling_fraud_data(
session_id="fake-session-id",
user_id="fake-user-id",
user_email="*****@*****.**",
birth_date=datetime.date(1999, 6, 5),
phone_number="+33712345678",
workflow_type=user_profiling.WorkflowType.BENEFICIARY_VALIDATION,
ip_address="127.0.0.1",
line_of_business=user_profiling.LineOfBusiness.B2B,
transaction_id="random-transaction-id",
agent_type=user_profiling.AgentType.AGENT_MOBILE,
)
def test_get_profiling_data_date_of_birth_empty(requests_mock):
matcher = requests_mock.register_uri(
"POST", settings.USER_PROFILING_URL, json=user_profiling_fixtures.CORRECT_RESPONSE, status_code=200
)
handler = user_profiling.UserProfilingClient()
handler.get_user_profiling_fraud_data(
session_id="fake-session-id",
user_id="fake-user-id",
user_email="*****@*****.**",
birth_date=None,
phone_number="+33712345678",
workflow_type=user_profiling.WorkflowType.BENEFICIARY_VALIDATION,
ip_address="127.0.0.1",
line_of_business=user_profiling.LineOfBusiness.B2B,
transaction_id="random-transaction-id",
agent_type=user_profiling.AgentType.AGENT_MOBILE,
)
assert "account_date_of_birth" not in matcher.last_request.json().keys()
def test_get_profiling_data_empty_fields(requests_mock, empty_field):
user_profiling_response = user_profiling_fixtures.CORRECT_RESPONSE.copy()
del user_profiling_response[empty_field]
requests_mock.register_uri("POST", settings.USER_PROFILING_URL, json=user_profiling_response, status_code=200)
handler = user_profiling.UserProfilingClient()
profiling_data = handler.get_user_profiling_fraud_data(
session_id="fake-session-id",
user_id="fake-user-id",
user_email="*****@*****.**",
birth_date=datetime.date(1999, 6, 5),
phone_number="+33712345678",
workflow_type=user_profiling.WorkflowType.BENEFICIARY_VALIDATION,
ip_address="127.0.0.1",
line_of_business=user_profiling.LineOfBusiness.B2B,
transaction_id="random-transaction-id",
agent_type=user_profiling.AgentType.AGENT_MOBILE,
)
assert isinstance(profiling_data, fraud_models.UserProfilingFraudData)
