def calculate_customers_nearby():
"""
Calculates the a set of customers who are eligible for invitation and then tabulates and shows them in a sorted manner
:return: None
:rtype: None
"""
result_set = CustomerDb.invite_customers(DUBLIN_LONGITUDE, DUBLIN_LATITUDE,
CUSTOMER_DISTANCE)
customers = [
customer_obj for key in sorted(result_set.keys())
for customer_obj in result_set[key]
]
customer_list = [[customer.user_id, customer.name]
for customer in customers]
print(tabulate(customer_list, headers=["ID", "Name"]))
def test_invalid_latitude(self, random_longitude, latitude,
random_distance):
with pytest.raises(ValueError):
CustomerDb.invite_customers(random_longitude, latitude,
random_distance)
def test_negative_customer_distance(self, customer_distance,
random_longitude, random_latitude):
with pytest.raises(ValueError):
CustomerDb.invite_customers(random_longitude, random_latitude,
customer_distance)
def test_invite_customers(self, random_longitude, random_latitude,
random_distance):
result_set = CustomerDb.invite_customers(random_longitude,
random_latitude,
random_distance)
assert isinstance(result_set, dict)
def test_customer_db_generator(self):
customers = CustomerDb.all()
assert isinstance(customers, Generator)
def test_invite_customers_custom_distance(self, custom_distance, expected_ids):
invited_customers = CustomerDb.invite_customers(DUBLIN_LONGITUDE, DUBLIN_LATITUDE, custom_distance)
assert expected_ids == sorted(invited_customers.keys())
def test_invite_customers(self, expected_customers_id_for_100kms):
invited_customers = CustomerDb.invite_customers(DUBLIN_LONGITUDE, DUBLIN_LATITUDE, CUSTOMER_DISTANCE)
assert expected_customers_id_for_100kms == sorted(invited_customers.keys())