def test_save_load_json(self):
write_json(self.output_machine, "sample_graph.json")
parsed_machine = read_json("sample_graph.json")
dict1 = json.load(open("sample_graph.json", 'r'))
dict2 = write_json(parsed_machine, "sample_graph.json")
self.assertTrue(dicts_are_equal(dict1, dict2))
def test_save_json(self):
write_json(self.output_machine, "sample_graph.json")
def run_python():
json = request.get_json()
print(json)
output_machine = read_json(json_dict=json)
maximize_output(output_machine)
return write_json(output_machine)
def run_python():
json = request.get_json()
print(json)
ExternalSupplier.reset_instance_tracker()
flour = Product(name="flour", units='kg')
water = Product(name="water", units='liter')
cream = Product(name="cream", units='kg')
dough = Product(name="dough",
units='kg',
sub_products_quantities={
flour: 0.4,
water: 0.6
})
filling = Product(name="filling",
units='liter',
sub_products_quantities={
cream: 0.4,
flour: 0.3
})
pie = Product(name="pie",
units='unit',
sub_products_quantities={
dough: 0.4,
filling: 0.4
})
dough_maker1 = Machine(name="Dough maker 1",
min_batch_time=200,
max_batch_time=1000,
batch_time=500,
batch_size=50,
output_product=dough)
dough_maker2 = Machine(name="Dough maker 2",
min_batch_time=200,
max_batch_time=1000,
batch_time=500,
batch_size=50,
output_product=dough)
filling_maker1 = Machine(name="Filling maker 1",
min_batch_time=100,
max_batch_time=500.0,
batch_time=150,
batch_size=20,
output_product=filling)
filling_maker2 = Machine(name="Filling maker 2",
min_batch_time=100,
max_batch_time=500.0,
batch_time=150,
batch_size=20,
output_product=filling)
filling_maker3 = Machine(name="Filling maker 3",
min_batch_time=100,
max_batch_time=500.0,
batch_time=150,
batch_size=20,
output_product=filling)
output_machine = Machine(name="Pie maker",
min_batch_time=10,
max_batch_time=300,
batch_time=50,
batch_size=30,
output_product=pie,
suppliers=[
dough_maker1, dough_maker2, filling_maker1,
filling_maker2, filling_maker3
],
delays=[22.3, 20.1, 13.2, 11.1, 15.3])
# maximum_output = ale_optimizer.maximize_output(output_machine)
maximum_output = ale_optimizer.optimize_topology(output_machine, 1.55)
print("\nMaximum production is 1 pie every {:.2f} seconds".format(
1 / maximum_output))
write_json(output_machine, filename="../Optimized_plant2.json")
return write_json(output_machine)
dough: 0.5,
filling: 0.2
})
dough_maker1 = Machine(name="Dough maker 1",
min_batch_time=200,
max_batch_time=1000,
batch_time=500,
batch_size=50,
output_product=dough)
filling_maker1 = Machine(name="Filling maker 1",
min_batch_time=100,
max_batch_time=500.0,
batch_time=150,
batch_size=20,
output_product=filling)
output_machine = Machine(name="Pie maker",
min_batch_time=10,
max_batch_time=300,
batch_time=50,
batch_size=30,
output_product=pie,
suppliers=[dough_maker1, filling_maker1],
delays=[22.3, 20.1])
# maximum_output = ale_optimizer.maximize_output(output_machine)
# maximum_output = ale_optimizer.optimize_topology(output_machine, 1.55)
# maximum_output = ale_optimizer.maximize_output(output_machine)
output_machine.set_supplier_rates(0.2)
write_json(output_machine, "Optimized_plant.json")
# print("\nMaximum production is {} pies every second".format(maximum_output))