limit iterations and randomize layer order

main
josch 12 years ago
parent 7ef525156f
commit 57e6af6cc8

@ -10,6 +10,7 @@ import os
import zlib
import fcntl
import ctypes
import random
libpallet = ctypes.cdll.LoadLibrary('./libpallet.so.0.0.0')
libpallet.evaluate.restype = ctypes.c_double
@ -24,13 +25,23 @@ if os.environ.get("permutations"):
else:
try_permutations = True
if os.environ.get("iterations"):
max_iter = int(os.environ["iterations"])
else:
max_iter = -1
if os.environ.get("randomize"):
try_random = bool(int(os.environ["randomize"]))
else:
try_random = False
def pack_single_pallet(permut_layers, rest_layers, pallet):
pack_sequence = 1
pack_height = 0
articles_to_pack = list()
for layer in list(permut_layers)+rest_layers:
for layer in permut_layers+rest_layers:
pack_height += layer[0]['Article']['Height']
#if pack_height > pallet['Dimensions']['MaxLoadHeight']:
# break
@ -43,7 +54,7 @@ def pack_single_pallet(permut_layers, rest_layers, pallet):
return get_packlist_dict(pallet, articles_to_pack)
def pack_multi_pallet(permut_layers, rest_layers, pallet):
sum_all_article_height = sum([layer[0]['Article']['Height'] for layer in list(permut_layers)+rest_layers])
sum_all_article_height = sum([layer[0]['Article']['Height'] for layer in permut_layers+rest_layers])
number_of_pallets = int(sum_all_article_height/pallet['Dimensions']['MaxLoadHeight'])+1
@ -52,7 +63,7 @@ def pack_multi_pallet(permut_layers, rest_layers, pallet):
pack_sequences = [ 1 for i in range(number_of_pallets) ]
# spread over pallets in order
for layer in list(permut_layers)+rest_layers:
for layer in permut_layers+rest_layers:
# select as current, the pallet with the lowest height
current_pallet = pack_heights.index(min(pack_heights))
pack_heights[current_pallet] += layer[0]['Article']['Height']
@ -142,25 +153,31 @@ def evaluate_layers_rests(layers, rests, score_max, pallet, result_max):
if try_permutations:
permutations = itertools.permutations(layers)
else:
permutations = [tuple(layers)]
#permutations = [tuple(sorted(layers, key=lambda layer: sum([article['Article']['Weight'] for article in layer]), reverse=True))]
#permutations = [tuple(sorted(layers, key=lambda layer: sum([article['Article']['Length']*article['Article']['Width'] for article in layer]), reverse=True))]
#permutations = (layers for i in xrange(1000))
permutations = [layers]
i = 0
for permut_layers in permutations:
permut_layers = list(permut_layers)
if try_random:
random.shuffle(permut_layers)
if try_multi_pallet:
packlist = pack_multi_pallet(permut_layers, rest_layers, pallet)
else:
packlist = pack_single_pallet(permut_layers, rest_layers, pallet)
# ugly, ugly, ugly, ugly hack - dont copy this...
#score = float(subprocess.check_output(sys.argv[3]+" -o "
# +sys.argv[1]+" -p "+tmp
# +" -s "+sys.argv[4]+" --headless | grep Score", shell=True).split(' ')[1].strip())
if try_multi_pallet:
score = evaluate_multi_pallet(packlist)
else:
packlist = pack_single_pallet(permut_layers, rest_layers, pallet)
score = evaluate_single_pallet(packlist)
if score >= score_max[0]:
result_max[0] = dicttoxmlstring(packlist)
score_max[0] = score
i+=1
if max_iter != -1 and i >= max_iter:
break
def main():
if len(sys.argv) < 5:
print "usage:", sys.argv[0], "order.xml packlist.xml scoring.xml LAYER [LAYER..]"

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