capas = '******'
unit = 'spy'
unit_price = np.asarray([160, 120, 0, 8])
if stats['capas_carrier'] > 0:
capas = '******'
unit = 'buc'
unit_price = np.asarray([880, 200, 120, 0])
if stats['capas_military'] > 0:
capas = '******'
unit = 'huc'
unit_price = np.asarray([0, 700, 240, 96])
amount, ressis = seller_optimizer(
owner_resources,
unit_price,
ex_rates,
stats[capas],
volumes,
resource_source
)
for j in range(1, 4):
res = res_names[j-1]
source = resource_source[j-1]
price = ex_rates[j]
quantity = ressis[j]
if quantity > 0:
print('Buy {0}{1} for {2} from {3}'.format(quantity, res, price*10, source))
if source == 'gm':
api.buy(res, quantity, price)
elif source == 'store':
def test_seller_optimizer(self):
""" Tests the optimizer for a seller bot """
# Example1:
# unit price [1000, 500, 200, 100]
# owner [40000, 0, 0, 0]
# ex_rates [1, 2, 5, 10]
# caps are big enough
# result should be: (10, [0, 5000, 2000, 1000])
owner = np.asarray([40000, 0, 0, 0])
unit_price = np.asarray([1000, 500, 200, 100])
ex_rate = np.asarray([1, 2, 5, 10])
market_cap = np.asarray([0, 10000, 10000, 10000])
capacity_cap = 20
source = ['gm', 'gm', 'gm']
result = seller_optimizer(owner, unit_price, ex_rate, capacity_cap, market_cap, source)
self.assertEqual(result[0], 10)
self.assertEqual(list(result[1]), [0, 5000, 2000, 1000])
# Example2:
# changed the capacity_cap 6
# result should be: (6, [0, 3000, 1200, 600])
capacity_cap = 6
result = seller_optimizer(owner, unit_price, ex_rate, capacity_cap, market_cap, source)
self.assertEqual(result[0], 6)
self.assertEqual(list(result[1]), [0, 3000, 1200, 600])
# Example3:
# changed the market_cap to limited energy [0, 2000, 10000, 10000]
# result should be: (4, [0, 2000, 800, 400])
market_cap = np.asarray([0, 2000, 10000, 10000])
capacity_cap = 100
result = seller_optimizer(owner, unit_price, ex_rate, capacity_cap, market_cap, source)
print result
self.assertEqual(result[0], 4)
self.assertEqual(list(result[1]), [0, 2000, 800, 400])
# Example4:
# changed the market_cap to limited energy [0, 2123, 10000, 10000]
# buy everything of limited resource
# result should be: (4, [0, 2123, 800, 400])
market_cap = np.asarray([0, 2123, 10000, 10000])
result = seller_optimizer(owner, unit_price, ex_rate, capacity_cap, market_cap, source)
self.assertEqual(result[0], 4)
self.assertEqual(list(result[1]), [0, 2123, 800, 400])
# Example5:
# changed the market_cap to limited energy [0, 450, 10000, 10000]
# buy everything of limited resource
# result should be: (0, [0, 450, 800, 400])
market_cap = np.asarray([0, 450, 10000, 10000])
result = seller_optimizer(owner, unit_price, ex_rate, capacity_cap, market_cap, source)
self.assertEqual(result[0], 0)
self.assertEqual(list(result[1]), [0, 450, 0, 0])
# Example6:
# unit doesnt require all resources anymore
# reset other values to example1
owner = np.asarray([40000, 0, 0, 0])
unit_price = np.asarray([1000, 500, 0, 100])
ex_rate = np.asarray([1, 2, 5, 10])
market_cap = np.asarray([0, 10000, 10000, 10000])
capacity_cap = 100
result = seller_optimizer(owner, unit_price, ex_rate, capacity_cap, market_cap, source)
self.assertEqual(result[0], 13)
self.assertEqual(list(result[1]), [0, 6500, 0, 1300])
# Example7:
# owner has some left over resources not required by the unit
owner = np.asarray([40000, 0, 1337, 0])
result = seller_optimizer(owner, unit_price, ex_rate, capacity_cap, market_cap, source)
self.assertEqual(result[0], 13)
self.assertEqual(list(result[1]), [0, 6500, 0, 1300])
# Example8:
# owner has some left over resources required by the unit
# thus only one resource needs to be bought [0, 0, 0, 3000]
owner = np.asarray([60000, 20000, 0, 0])
result = seller_optimizer(owner, unit_price, ex_rate, capacity_cap, market_cap, source)
self.assertEqual(result[0], 30)
self.assertEqual(list(result[1]), [0, 0, 0, 3000])
# Example9:
# owner has some left over resources required by the unit
# thus only one resource needs to be bought [0, 0, 0, 3000]
owner = np.asarray([60000, 2314, 0, 6543])
result = seller_optimizer(owner, unit_price, ex_rate, capacity_cap, market_cap, source)
self.assertEqual(result[0], 24)
self.assertEqual(list(result[1]), [0, 10000, 0, 0])
# Example9:
# trivial example
result = seller_optimizer(owner, unit_price, ex_rate, 0, market_cap, source)
self.assertEqual(result[0], 0)
self.assertEqual(list(result[1]), [0, 0, 0, 0])
# Example10:
# trivial example
owner = np.asarray([60000, 0, 0, 6543])
market_cap = np.asarray([0, 450, 10000, 10000])
result = seller_optimizer(owner, unit_price, ex_rate, capacity_cap, market_cap, source)
self.assertEqual(result[0], 0)
self.assertEqual(list(result[1]), [0, 450, 0, 0])
# Example11:
# real prices / exchange rates / huc
# reproduced some bug that occurred in production...
ex_rate = np.asarray([1, 1.2, 6.8, 16.0])
unit_price = np.asarray([0, 700, 240, 96])
market_cap = np.asarray([0, 100000000, 10000000, 100000000])
owner = np.asarray([0, 0, 0, 0])
result = seller_optimizer(owner, unit_price, ex_rate, 1000, market_cap, source)
# self.assertEqual(result[0], 0)
self.assertEqual(list(result[1]), [0, 0, 0, 0])
