def test_clustered_ordering_noerror(self):
c = KMeansBasedBarsDivision()
filePath = os.path.dirname(os.path.abspath(__file__))
with open(
os.path.join(
os.path.join(
os.path.split(
os.path.split(
os.path.split(
os.path.split(filePath)[0])[0])[0])[0],
"TestData"), "testModelDataWithOneCrane.json"),
"r") as dataFile:
dataFile.seek(0, 0)
data = json.loads(dataFile.read())
if not "modelData" in data or not "cranes" in data:
self.fail("Bad json implemented")
parser = AdvanceSteelModelParser()
pm = parser.ParseProjectModel(data[ec.TagCraneOptModelData])
cranes = [TowerCraneData(data[ec.TagCraneOptCranes][0])] * 3
sd = SiteData(pm, cranes)
centers = [
np.array([bar.CenterPoint.X, bar.CenterPoint.Y])
for bar in pm.SteelAnalyticalModel.Bars.values()
]
c.ProhibitedRegion = sd.ModelPolygon
c.Radiuses = [cr.maxLength for cr in cranes]
res = c.FindCenters(centers, 3)
# Build model bars dependency graph
BarDependencyChecker.buildDependencyGraph(sd)
order = ConstructionOrdering.GetConstructionOrderClustered(
sd.dependencies, list(sd.Bars.values()), res[2])
def calc_model_buildordercluster():
"""Generates pre-order for building whole structure with clustering bars between multiple cranes"""
# Check whether model data is in input
if not request.json or not ec.TagCraneOptModelData in request.json or not ec.TagCraneOptCranes in request.json:
abort(400)
# Parse project model from JSON
client = ""
if ec.ArgCraneOptClient in request.args:
client = request.args.get(ec.ArgCraneOptClient,
ec.ValCommonClientAdvanceSteel)
parser = eutils.GetParserByClientType(client,
ec.ValCommonClientAdvanceSteel)
pm = parser.ParseProjectModel(request.json[ec.TagCraneOptModelData])
cranes = [
eutils.GetCraneByType(crane)
for crane in request.json[ec.TagCraneOptCranes]
]
modelData = SiteData(pm, cranes)
# Build model bars dependency graph
BarDependencyChecker.buildDependencyGraph(modelData)
PanelDependencyChecker.buildDependencyGraph(modelData)
# Do bars clustering
from Optimization.Clustering.KMeansBasedBarsDivision import KMeansBasedBarsDivision
clusterer = KMeansBasedBarsDivision()
centers = [
np.array([bar.CenterPoint.X, bar.CenterPoint.Y])
for bar in pm.SteelAnalyticalModel.Bars.values()
]
clusterer.ProhibitedRegion = modelData.ModelPolygon
clusterer.Radiuses = [cr.maxLength for cr in cranes]
resClustering = clusterer.FindCenters(centers, len(cranes))
# Get construction order usin the graph
res = ConstructionOrdering.GetConstructionOrderClustered(
modelData.dependencies, list(modelData.ConstructionObjects.values()),
resClustering[2])
# Return order
return jsonify({ec.OutTagConstrOrderOrder: res}), 200