def test_shortage_cost(self):
""" Test shortage cost when a backlog has been recorded. """
sim = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis, runs=1, period_length=12)
for period in sim[0]:
if int(period[0].get("shortage_cost")) > 0:
self.assertGreater(int(period[0].get("backlog")), 0)
def main():
start_time = time.time()
orders_analysis = model_inventory.analyse_orders_abcxyz_from_file(
file_path="data.csv", z_value=Decimal(1.28), reorder_cost=Decimal(5000), file_type="csv"
)
sim = simulate.run_monte_carlo(orders_analysis=orders_analysis.orders, runs=1, period_length=12)
sim_window = simulate.summarize_window(simulation_frame=sim, period_length=12)
sim_frame = simulate.summarise_frame(sim_window)
optimised = simulate.optimise_service_level(
service_level=95.0,
frame_summary=sim_frame,
orders_analysis=orders_analysis.orders,
runs=1,
percentage_increase=1.30,
)
for s in optimised:
print(s.orders_summary())
end_time = time.time()
elapsed = end_time - start_time
print(elapsed)
def main():
start_time = time.time()
orders_analysis = model_inventory.analyse_orders_abcxyz_from_file(
file_path="data.csv",
z_value=Decimal(1.28),
reorder_cost=Decimal(5000),
file_type="csv")
sim = simulate.run_monte_carlo(orders_analysis=orders_analysis.orders,
runs=1,
period_length=12)
sim_window = simulate.summarize_window(simulation_frame=sim,
period_length=12)
sim_frame = simulate.summarise_frame(sim_window)
optimised = simulate.optimise_service_level(
service_level=95.0,
frame_summary=sim_frame,
orders_analysis=orders_analysis.orders,
runs=1,
percentage_increase=1.30)
for s in optimised:
print(s.orders_summary())
end_time = time.time()
elapsed = end_time - start_time
print(elapsed)
def test_po_raised_regex(self):
po_regex = re.compile('[P][O] \d+')
sim = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis, runs=1, period_length=12)
for period in sim[0]:
if int(period[0].get("closing_stock")) == 0 and int(period[0].get("backlog")) > 0:
self.assertRegex(period[0].get("po_raised"), expected_regex=po_regex, msg='True')
def test_po_raised_regex(self):
po_regex = re.compile('[P][O] \d+')
sim = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis, runs=1, period_length=12)
for period in sim:
if int(period[0].get("closing_stock")) == 0 and int(period[0].get("backlog")) > 0:
self.assertRegex(period[0].get("po_raised"), expected_regex=po_regex, msg='True')
def test_shortage_cost_zero(self):
""" Ensures that there is 0 shortage cost when a backlog has not been recorded."""
sim = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis,
runs=10, period_length=12)
for period in sim[0]:
if int(period[0].get("backlog")) == 0:
self.assertEqual(int(period[0].get("shortage_cost")), 0)
def test_shortage_cost(self):
""" Test shortage cost when a backlog has been recorded. """
sim = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis, runs=1, period_length=12)
for period in sim:
if int(period[0].get("shortage_cost")) > 0:
self.assertGreater(int(period[0].get("backlog")), 0)
def test_po_quantity_zero(self):
"""Ensures a purchase order is raised if the closing stock is 0. """
sim = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis, runs=1, period_length=12)
for period in sim[0]:
if int(period[0].get("closing_stock")) == 0:
# print(period[0].get("po_quantity"))
self.assertGreater(int(period[0].get("po_quantity")), 0)
def setUp(self):
self.__skus = ['KR202-209', 'KR202-210', 'KR202-211']
self.__orders_analysis = analyse_orders_abcxyz_from_file(file_path=ABS_FILE_PATH['COMPLETE_CSV_SM'],
z_value=Decimal(1.28),
reorder_cost=Decimal(5000),
file_type="csv",
length=12)
self.sim = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis, runs=1, period_length=12)
def test_po_quantity_zero(self):
"""Ensures a purchase order is raised if the closing stock is 0. """
sim = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis, runs=1, period_length=12)
for period in sim:
if int(period[0].get("closing_stock")) == 0:
# print(period[0].get("po_quantity"))
self.assertGreater(int(period[0].get("po_quantity")), 0)
def test_shortage_cost_zero(self):
""" Ensures that there is 0 shortage cost when a backlog has not been recorded."""
sim = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis,
runs=1, period_length=12)
for period in sim:
# print(period)
if int(period[0].get("backlog")) == 0:
self.assertEqual(int(period[0].get("shortage_cost")), 0)
def test_summarize_simulation(self):
orders_analysis = analyse_orders_abcxyz_from_file(
file_path=ABS_FILE_PATH["COMPLETE_CSV_SM"],
z_value=Decimal(1.28),
reorder_cost=Decimal(5000),
file_type="csv",
)
simulation_windows = simulate.run_monte_carlo(orders_analysis=orders_analysis, runs=1, period_length=12)
collect_sim = []
for i in simulate.summarize_window(simulation_frame=simulation_windows):
collect_sim.append(i)
self.assertEqual(len(collect_sim), 39)
def test_run_simulation(self):
app_dir = os.path.dirname(__file__, )
rel_path = 'supplychainpy/data2.csv'
abs_file_path = os.path.abspath(os.path.join(app_dir, '..', rel_path))
orders_analysis = model_inventory.analyse_orders_abcxyz_from_file(file_path=abs_file_path,
z_value=Decimal(1.28),
reorder_cost=Decimal(5000),
file_type="csv")
simulation_windows = simulate.run_monte_carlo(orders_analysis=orders_analysis, runs=1)
self.assertEqual(len(simulation_windows), 384)
def test_po_quantity_zero(self):
app_dir = os.path.dirname(__file__, )
rel_path = 'supplychainpy/data.csv'
abs_file_path = os.path.abspath(os.path.join(app_dir, '..', rel_path))
orders_analysis = analyse_orders_abcxyz_from_file(file_path=abs_file_path, z_value=Decimal(1.28),
reorder_cost=Decimal(5000), file_type="csv")
sim = simulate.run_monte_carlo(orders_analysis=orders_analysis.orders, runs=1, period_length=12)
for period in sim:
if int(period[0].get("closing_stock")) == 0:
self.assertGreater(int(period[0].get("po_quantity")), 0)
def test_summarize_simulation(self):
app_dir = os.path.dirname(__file__, )
rel_path = 'supplychainpy/data2.csv'
abs_file_path = os.path.abspath(os.path.join(app_dir, '..', rel_path))
orders_analysis = analyse_orders_abcxyz_from_file(file_path=abs_file_path, z_value=Decimal(1.28),
reorder_cost=Decimal(5000), file_type="csv")
simulation_windows = simulate.run_monte_carlo(orders_analysis=orders_analysis, runs=1, period_length=12)
collect_sim = []
for i in simulate.summarize_window(simulation_frame=simulation_windows):
collect_sim.append(i)
self.assertEqual(len(collect_sim), 32)
def test_po_raised_regex(self):
app_dir = os.path.dirname(__file__, )
rel_path = 'supplychainpy/data.csv'
abs_file_path = os.path.abspath(os.path.join(app_dir, '..', rel_path))
po_regex = re.compile('[P][O] \d+')
orders_analysis = analyse_orders_abcxyz_from_file(file_path=abs_file_path, z_value=Decimal(1.28),
reorder_cost=Decimal(5000), file_type="csv")
sim = simulate.run_monte_carlo(orders_analysis=orders_analysis.orders, runs=1, period_length=12)
for period in sim:
if int(period[0].get("closing_stock")) == 0 and int(period[0].get("backlog")) > 0:
self.assertRegex(period[0].get("po_raised"), expected_regex=po_regex, msg='True')
def test_run_simulation(self):
app_dir = os.path.dirname(__file__, )
rel_path = 'supplychainpy/data.csv'
abs_file_path = os.path.abspath(os.path.join(app_dir, '..', rel_path))
orders_analysis = model_inventory.analyse_orders_abcxyz_from_file(
file_path=abs_file_path,
z_value=Decimal(1.28),
reorder_cost=Decimal(5000),
file_type="csv")
simulation_windows = simulate.run_monte_carlo(
orders_analysis=orders_analysis.orders, runs=1)
self.assertEqual(len(simulation_windows), 384)
def quick_test(self):
sim = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis,
runs=100, period_length=12)
sim_window = simulate.summarize_window(simulation_frame=sim, period_length=12)
#for item in sim:
# for s in item:
# if s[0].get('sku_id')=='KR202-209':
# print(s)
#print(sim_window)
frame_summary = simulate.summarise_frame(sim_window)
#print(frame_summary)
#for item in frame_summary:
# if item.get('sku_id')=='KR202-209':
# print(item)
print(frame_summary)
def test_po_quantity_zero(self):
app_dir = os.path.dirname(__file__, )
rel_path = 'supplychainpy/data.csv'
abs_file_path = os.path.abspath(os.path.join(app_dir, '..', rel_path))
orders_analysis = analyse_orders_abcxyz_from_file(
file_path=abs_file_path,
z_value=Decimal(1.28),
reorder_cost=Decimal(5000),
file_type="csv")
sim = simulate.run_monte_carlo(orders_analysis=orders_analysis.orders,
runs=1,
period_length=12)
for period in sim:
if int(period[0].get("closing_stock")) == 0:
self.assertGreater(int(period[0].get("po_quantity")), 0)
def test_summarize_simulation(self):
app_dir = os.path.dirname(__file__, )
rel_path = 'supplychainpy/data.csv'
abs_file_path = os.path.abspath(os.path.join(app_dir, '..', rel_path))
orders_analysis = analyse_orders_abcxyz_from_file(
file_path=abs_file_path,
z_value=Decimal(1.28),
reorder_cost=Decimal(5000),
file_type="csv")
simulation_windows = simulate.run_monte_carlo(
orders_analysis=orders_analysis.orders, runs=1, period_length=12)
collect_sim = []
for i in simulate.summarize_window(
simulation_frame=simulation_windows):
collect_sim.append(i)
self.assertEqual(len(collect_sim), 32)
def test_po_raised_regex(self):
app_dir = os.path.dirname(__file__, )
rel_path = 'supplychainpy/data.csv'
abs_file_path = os.path.abspath(os.path.join(app_dir, '..', rel_path))
po_regex = re.compile('[P][O] \d+')
orders_analysis = analyse_orders_abcxyz_from_file(
file_path=abs_file_path,
z_value=Decimal(1.28),
reorder_cost=Decimal(5000),
file_type="csv")
sim = simulate.run_monte_carlo(orders_analysis=orders_analysis.orders,
runs=1,
period_length=12)
for period in sim:
if int(period[0].get("closing_stock")) == 0 and int(
period[0].get("backlog")) > 0:
self.assertRegex(period[0].get("po_raised"),
expected_regex=po_regex,
msg='True')
def test_run_simulation(self):
simulation_windows = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis, runs=1)
self.assertEqual(len(simulation_windows), 468)
