How to use list_allocations method in tempest

Best Python code snippet using tempest_python

test_allocation.py

Source:test_allocation.py Github

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...35 self.assertRaises(exception.AllocationNotFound,36 dbapi.get_allocation,37 self.context,38 allocation_id)39 def test_list_allocations(self):40 cids = []41 for i in range(1, 6):42 provider = utils.create_test_resource_provider(43 id=i,44 uuid=uuidutils.generate_uuid(),45 context=self.context)46 allocation = utils.create_test_allocation(47 id=i,48 resource_provider_id=provider.id,49 consumer_id=uuidutils.generate_uuid(),50 context=self.context)51 cids.append(allocation['consumer_id'])52 res = dbapi.list_allocations(self.context)53 res_cids = [r.consumer_id for r in res]54 self.assertEqual(sorted(cids), sorted(res_cids))55 def test_list_allocations_sorted(self):56 cids = []57 for i in range(5):58 provider = utils.create_test_resource_provider(59 id=i,60 uuid=uuidutils.generate_uuid(),61 context=self.context)62 allocation = utils.create_test_allocation(63 id=i,64 resource_provider_id=provider.id,65 consumer_id=uuidutils.generate_uuid(),66 context=self.context)67 cids.append(allocation['consumer_id'])68 res = dbapi.list_allocations(self.context,69 sort_key='consumer_id')70 res_cids = [r.consumer_id for r in res]71 self.assertEqual(sorted(cids), res_cids)72 self.assertRaises(exception.InvalidParameterValue,73 dbapi.list_allocations,74 self.context,75 sort_key='foo')76 def test_list_allocations_with_filters(self):77 provider = utils.create_test_resource_provider(78 id=1,79 uuid=uuidutils.generate_uuid(),80 context=self.context)81 allocation1 = utils.create_test_allocation(82 used=0,83 resource_provider_id=provider.id,84 context=self.context)85 allocation2 = utils.create_test_allocation(86 used=1,87 resource_provider_id=provider.id,88 context=self.context)89 res = dbapi.list_allocations(90 self.context, filters={'used': 0})91 self.assertEqual([allocation1.id], [r.id for r in res])92 res = dbapi.list_allocations(93 self.context, filters={'used': 1})94 self.assertEqual([allocation2.id], [r.id for r in res])95 res = dbapi.list_allocations(96 self.context, filters={'used': 11111})97 self.assertEqual([], [r.id for r in res])98 res = dbapi.list_allocations(99 self.context,100 filters={'used': allocation1.used})101 self.assertEqual([allocation1.id], [r.id for r in res])102 def test_destroy_allocation(self):103 allocation = utils.create_test_allocation(context=self.context)104 dbapi.destroy_allocation(self.context, allocation.id)105 self.assertRaises(exception.AllocationNotFound,106 dbapi.get_allocation,107 self.context, allocation.id)108 def test_destroy_allocation_by_id(self):109 allocation = utils.create_test_allocation(context=self.context)110 dbapi.destroy_allocation(self.context, allocation.id)111 self.assertRaises(exception.AllocationNotFound,112 dbapi.get_allocation,...

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mainSwapFlats.py

Source:mainSwapFlats.py Github

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1import copy2import sys3import pickle4from os.path import exists5from util.Calculator import calc_happiness, check_unfulfilled_wishes, compare_allocations6from util.Writer import save_data_to_xlsx7from util.helper import swap_flats8from util.Reader import read_source9list_hh_wishes = {} # liste an Haushalten10list_flats = {} # liste der Wohnungen11list_weights = {} # Gewichte je Wunsch. Durch Belegungskommission festgelegt12list_allocations = {} # Format: "Haushalts ID" : "Wohnungs ID"13if __name__ == '__main__':14 path = "D:/HomeOnD/NC/Projekte/gw-wohnvergabe-datasources"15 if len(sys.argv) > 1:16 file = sys.argv[1]17 else:18 file = path + "/2022-08-18_results-survey2704(1)_korrigiert_2022-08-19_14-53-54_654.1313.xlsx"19 file2 = path + "/WgDaten.xlsx"20 read_source(file, file2, list_hh_wishes, list_flats, list_weights, True)21 last = file.rfind("_")22 lastlast = file[0:last].rfind("_")23 x = file[0:lastlast].rfind("_")24 y = file.rfind(".xlsx")25 pickel_file = path + "/allocations_" + file[x+1:y] + ".pkl"26 if exists(pickel_file):27 print("Previous allocation found. Loading existing allocation: " + pickel_file)28 with open(pickel_file, "rb") as inp:29 list_allocations = pickle.load(inp)30 else:31 raise Exception("No previous allocation found.")32 old_allocation = copy.deepcopy(list_allocations)33 # hh1 = 4; hh2 = 65 # Thorsten und Sabine34 # hh1 = 19; hh2 = 1109 # Detlev und freie Wohnung35 # hh1 = 36; hh2 = 63 # Jeanette und Kallmeyer, Ruth36 # hh1 = 36; hh2 = 88 # Jeanette und Tim Többe37 hh1 = 61; hh2 = 94 # Linder, Liane und Penselin, Ulrike38 swap_flats(hh1, hh2, list_allocations, list_flats) #39 max_happiness = calc_happiness(list_hh_wishes, list_flats, list_weights, list_allocations)40 list_allocations = check_unfulfilled_wishes(list_hh_wishes, list_flats, list_weights, list_allocations)41 diff_allocations = compare_allocations(list_allocations, old_allocation)42 save_data_to_xlsx(file, list_hh_wishes, list_flats, list_allocations, list_weights, max_happiness, "tausch_" +43 str(hh1) + "-" + str(hh2) + "_neu")44 save_data_to_xlsx(file, list_hh_wishes, list_flats, diff_allocations, list_weights, max_happiness, "tausch_" +...

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main.py

Source:main.py Github

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1import copy2import pickle3from os.path import exists4from datetime import datetime5from util.Calculator import init_distribution, calc_happiness, check_unfulfilled_wishes6from util.Optimizer import optimize_allocations7from util.Reader import read_source8from util.Writer import save_data_to_xlsx, save_allocation9from multiprocessing import Pool10def main_method(id):11 list_hh_wishes = {} # liste an Haushalten12 list_flats = {} # liste der Wohnungen13 list_weights = {} # Gewichte je Wunsch. Durch Belegungskommission festgelegt14 list_allocations = {} # Format: "Haushalts ID" : ["Wohnungs ID", HappyNumbers]15 path = "D:/HomeOnD/NC/Projekte/gw-wohnvergabe-datasources"16 file = path + "/2022-08-18_results-survey2704(1)_korrigiert.xlsx"17 file2 = path + "/WgDaten.xlsx"18 read_source(file, file2, list_hh_wishes, list_flats, list_weights)19 pickel_file = path + "/neu.pkl"20 if exists(pickel_file):21 print("Previous allocation found. Loading existing allocation: " + pickel_file)22 with open(pickel_file, "rb") as inp:23 list_allocations = pickle.load(inp)24 else:25 print("No previous allocation found. Initializing new allocation.")26 init_distribution(list_hh_wishes, list_flats, list_allocations)27 # save_allocation(list_allocations, "init")28 list_allocations = optimize_allocations(list_hh_wishes, list_flats, list_weights, list_allocations)29 max_happiness = calc_happiness(list_hh_wishes, list_flats, list_weights, list_allocations)30 list_allocations = check_unfulfilled_wishes(list_hh_wishes, list_flats, list_weights, list_allocations)31 save_allocation(list_allocations, str(round(max_happiness, 4)))32 save_data_to_xlsx(file, list_hh_wishes, list_flats, list_allocations, list_weights, max_happiness, "")33if __name__ == '__main__':34 full_start = datetime.now()35 print("Start: " + str(full_start))36 # for i in range(20):37 with Pool(10) as p:38 p.map(main_method, range(0, 20))39 print("--------------------------------------")40 print("Ende: " + str(datetime.now()))41 full_diff = datetime.now() - full_start...

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