def processPartition(idx, iterator):
import os
os.environ["PMI_PORT"] = pmi_port
os.environ["PMI_ID"] = str(idx)
os.environ["PV_ALLOW_BATCH_INTERACTION"] = "1"
os.environ["DISPLAY"] = ":0"
import paraview
paraview.options.batch = True
from vtk.vtkPVVTKExtensionsCore import vtkDistributedTrivialProducer
from vtk.vtkCommonCore import vtkIntArray, vtkPoints
from vtk.vtkCommonDataModel import vtkPolyData, vtkPointData, vtkCellArray
pointData = vtkIntArray()
pointData.SetName('scalar')
pointData.Allocate(maxIndex)
partData = vtkIntArray()
partData.SetName('pid')
partData.Allocate(maxIndex)
points = vtkPoints()
points.Allocate(maxIndex)
for row in iterator:
coord = idxToCoord(row[0])
points.InsertNextPoint(coord[0], coord[1], coord[2])
pointData.InsertNextTuple1(row[1])
partData.InsertNextTuple1(idx)
cells = vtkCellArray()
cells.Allocate(points.GetNumberOfPoints() + 1)
cells.InsertNextCell(points.GetNumberOfPoints())
for i in range(points.GetNumberOfPoints()):
cells.InsertCellPoint(i)
dataset = vtkPolyData()
dataset.SetPoints(points)
dataset.SetVerts(cells)
dataset.GetPointData().AddArray(pointData)
dataset.GetPointData().SetScalars(partData)
vtkDistributedTrivialProducer.SetGlobalOutput('Spark', dataset)
from vtk.vtkPVClientServerCoreCore import vtkProcessModule
from paraview import simple
from paraview.web import wamp as pv_wamp
from paraview.web import protocols as pv_protocols
from vtk.web import server
pm = vtkProcessModule.GetProcessModule()
class Options(object):
debug = False
nosignalhandlers = True
host = 'localhost'
port = 9753
timeout = 300
content = '/data/sebastien/SparkMPI/runtime/visualizer/dist'
forceFlush = False
sslKey = ''
sslCert = ''
ws = 'ws'
lp = 'lp'
hp = 'hp'
nows = False
nobws = False
nolp = False
fsEndpoints = ''
uploadPath = None
testScriptPath = ''
baselineImgDir = ''
useBrowser = 'nobrowser'
tmpDirectory = '.'
testImgFile = ''
class _VisualizerServer(pv_wamp.PVServerProtocol):
dataDir = '/data'
groupRegex = "[0-9]+\\.[0-9]+\\.|[0-9]+\\."
excludeRegex = "^\\.|~$|^\\$"
allReaders = True
viewportScale = 1.0
viewportMaxWidth = 2560
viewportMaxHeight = 1440
def initialize(self):
# Bring used components
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebFileListing(
_VisualizerServer.dataDir, "Home",
_VisualizerServer.excludeRegex,
_VisualizerServer.groupRegex))
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebProxyManager(
baseDir=_VisualizerServer.dataDir,
allowUnconfiguredReaders=_VisualizerServer.allReaders))
self.registerVtkWebProtocol(pv_protocols.ParaViewWebColorManager())
self.registerVtkWebProtocol(pv_protocols.ParaViewWebMouseHandler())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebViewPort(
_VisualizerServer.viewportScale,
_VisualizerServer.viewportMaxWidth,
_VisualizerServer.viewportMaxHeight))
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebViewPortImageDelivery())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebViewPortGeometryDelivery())
self.registerVtkWebProtocol(pv_protocols.ParaViewWebTimeHandler())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebSelectionHandler())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebWidgetManager())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebKeyValuePairStore())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebSaveData(
baseSavePath=_VisualizerServer.dataDir))
# Disable interactor-based render calls
simple.GetRenderView().EnableRenderOnInteraction = 0
simple.GetRenderView().Background = [0, 0, 0]
# Update interaction mode
pxm = simple.servermanager.ProxyManager()
interactionProxy = pxm.GetProxy('settings',
'RenderViewInteractionSettings')
interactionProxy.Camera3DManipulators = [
'Rotate', 'Pan', 'Zoom', 'Pan', 'Roll', 'Pan', 'Zoom',
'Rotate', 'Zoom'
]
args = Options()
if pm.GetPartitionId() == 0:
producer = simple.DistributedTrivialProducer()
producer.UpdateDataset = ''
producer.UpdateDataset = 'Spark'
server.start_webserver(options=args, protocol=_VisualizerServer)
pm.GetGlobalController().TriggerBreakRMIs()
yield (idx, targetPartition)
def processPartition(idx, iterator):
print('==============> processPartition %d' % idx)
import os
os.environ["PMI_PORT"] = pmi_port
os.environ["PMI_ID"] = str(idx)
os.environ["PV_ALLOW_BATCH_INTERACTION"] = "1"
os.environ["DISPLAY"] = ":0"
import paraview
paraview.options.batch = True
from vtk.vtkCommonExecutionModel import vtkTrivialProducer
from vtk.vtkPVVTKExtensionsCore import vtkDistributedTrivialProducer
from vtk.vtkCommonCore import vtkIntArray, vtkUnsignedCharArray
from vtk.vtkCommonDataModel import vtkImageData, vtkPointData, vtkCellData
offset = 0
for i in range(idx):
offset += zSizes[i] * sliceSize
size = zSizes[idx] * sliceSize
maxIdx = 0
minIdx = globalMaxIndex
data = vtkIntArray()
data.SetName('scalar')
data.SetNumberOfTuples(size)
data.Fill(0)
for row in iterator:
#print('pid: %d - %d | %d' % (idx, row[0], row[1]))
data.SetValue(row[0] - offset, row[1])
maxIdx = row[0] if row[0] > maxIdx else maxIdx
minIdx = row[0] if row[0] < minIdx else minIdx
print('pid %d - min: %d - max: %d' % (idx, minIdx, maxIdx))
dataset = vtkImageData()
minZ = 0
maxZ = 0
for i in range(idx + 1):
minZ = maxZ
maxZ += zSizes[i]
print('%d extent %d, %d' % (idx, minZ, maxZ - 1))
dataset.SetExtent(0, sizeX - 1, 0, sizeY - 1, minZ, maxZ - 1)
dataset.GetPointData().SetScalars(data)
print('%d - (%d, %d) - offset %d - size %d - dimension %d, %d, %d ' %
(idx, minIdx - offset, maxIdx - offset, offset, size, sizeX, sizeY,
zSizes[idx]))
vtkDistributedTrivialProducer.SetGlobalOutput('Spark', dataset)
from vtk.vtkPVClientServerCoreCore import vtkProcessModule
from paraview import simple
from paraview.web import wamp as pv_wamp
from paraview.web import protocols as pv_protocols
from vtk.web import server
pm = vtkProcessModule.GetProcessModule()
class Options(object):
debug = False
nosignalhandlers = True
host = 'localhost'
port = 9753
timeout = 300
content = '/data/sebastien/SparkMPI/runtime/visualizer/dist'
forceFlush = False
sslKey = ''
sslCert = ''
ws = 'ws'
lp = 'lp'
hp = 'hp'
nows = False
nobws = False
nolp = False
fsEndpoints = ''
uploadPath = None
testScriptPath = ''
baselineImgDir = ''
useBrowser = 'nobrowser'
tmpDirectory = '.'
testImgFile = ''
class _VisualizerServer(pv_wamp.PVServerProtocol):
dataDir = '/data'
groupRegex = "[0-9]+\\.[0-9]+\\.|[0-9]+\\."
excludeRegex = "^\\.|~$|^\\$"
allReaders = True
viewportScale = 1.0
viewportMaxWidth = 2560
viewportMaxHeight = 1440
def initialize(self):
# Bring used components
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebFileListing(
_VisualizerServer.dataDir, "Home",
_VisualizerServer.excludeRegex,
_VisualizerServer.groupRegex))
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebProxyManager(
baseDir=_VisualizerServer.dataDir,
allowUnconfiguredReaders=_VisualizerServer.allReaders))
self.registerVtkWebProtocol(pv_protocols.ParaViewWebColorManager())
self.registerVtkWebProtocol(pv_protocols.ParaViewWebMouseHandler())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebViewPort(
_VisualizerServer.viewportScale,
_VisualizerServer.viewportMaxWidth,
_VisualizerServer.viewportMaxHeight))
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebViewPortImageDelivery())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebViewPortGeometryDelivery())
self.registerVtkWebProtocol(pv_protocols.ParaViewWebTimeHandler())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebSelectionHandler())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebWidgetManager())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebKeyValuePairStore())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebSaveData(
baseSavePath=_VisualizerServer.dataDir))
# Disable interactor-based render calls
simple.GetRenderView().EnableRenderOnInteraction = 0
simple.GetRenderView().Background = [0, 0, 0]
# Update interaction mode
pxm = simple.servermanager.ProxyManager()
interactionProxy = pxm.GetProxy('settings',
'RenderViewInteractionSettings')
interactionProxy.Camera3DManipulators = [
'Rotate', 'Pan', 'Zoom', 'Pan', 'Roll', 'Pan', 'Zoom',
'Rotate', 'Zoom'
]
args = Options()
if pm.GetPartitionId() == 0:
producer = simple.DistributedTrivialProducer()
producer.UpdateDataset = ''
producer.UpdateDataset = 'Spark'
producer.WholeExtent = [0, 99, 0, 215, 0, 260]
server.start_webserver(options=args, protocol=_VisualizerServer)
pm.GetGlobalController().TriggerBreakRMIs()
yield (idx, targetPartition)
pmi_port = hostname + ":" + hydra_proxy_port
sc.getConf().set('mpi', pmi_port)
# -------------------------------------------------------------------------
# Read Tiff file
# -------------------------------------------------------------------------
filePath = '/data/sebastien/SparkMPI/data-convert/etl/Recon_NanoParticle_doi_10.1021-nl103400a.tif'
reader = simple.TIFFSeriesReader(FileNames=[filePath])
reader.UpdatePipeline()
imageData = reader.GetClientSideObject().GetOutputDataObject(0)
originalDimensions = imageData.GetDimensions()
dataArray = imageData.GetPointData().GetScalars()
intArray = vtkIntArray()
intArray.SetNumberOfTuples(dataArray.GetNumberOfTuples())
for idx in range(dataArray.GetNumberOfTuples()):
intArray.SetTuple1(idx, int(dataArray.GetTuple1(idx)))
print('range', dataArray.GetRange(), intArray.GetRange())
print('GetNumberOfTuples', dataArray.GetNumberOfTuples(),
intArray.GetNumberOfTuples())
npArray = numpy_support.vtk_to_numpy(intArray)
#print(npArray)
# -------------------------------------------------------------------------
targetPartition = 4
sizeX = originalDimensions[0]
def processPartition(idx, iterator):
print('### Start data processing for %d - %s | ' %
(idx, str(datetime.now())))
import os
os.environ["PMI_PORT"] = pmi_port
os.environ["PMI_ID"] = str(idx)
os.environ["PV_ALLOW_BATCH_INTERACTION"] = "1"
os.environ["DISPLAY"] = ":0"
import paraview
paraview.options.batch = True
from vtk.vtkCommonExecutionModel import vtkTrivialProducer
from vtk.vtkPVVTKExtensionsCore import vtkDistributedTrivialProducer
from vtk.vtkCommonCore import vtkIntArray, vtkUnsignedCharArray
from vtk.vtkCommonDataModel import vtkImageData, vtkPointData, vtkCellData
iOffset = 0
for i in range(idx):
iOffset += xSizes[i]
size = xSizes[idx] * sizeY * sizeZ
# -------------------------------------------------------------------------
# Gather data chunk
# -------------------------------------------------------------------------
dataChunk = vtkIntArray()
dataChunk.SetName('scalar')
dataChunk.SetNumberOfTuples(size)
dataChunk.Fill(0)
t0 = time.time()
count = 0
for row in iterator:
count += 1
coords = idxToCoord(row[0])
originCoords = '[%d, %d, %d]' % (coords[0], coords[1], coords[2])
coords[0] -= iOffset
destIdx = coords[0] + (coords[1] * xSizes[idx]) + (coords[2] *
xSizes[idx] * sizeY)
dataChunk.SetValue(destIdx, row[1])
t1 = time.time()
print('%d # Gather %s | ' % (idx, str(t1 - t0)))
t0 = t1
# -------------------------------------------------------------------------
# Reshape data into 3D Fortran array ordering
# -------------------------------------------------------------------------
npDataChunk = numpy_support.vtk_to_numpy(dataChunk)
scalars_array3d = np.reshape(npDataChunk, (xSizes[idx], sizeY, sizeZ),
order='F')
t1 = time.time()
print('%d # Reshape %s | ' % (idx, str(t1 - t0)))
t0 = t1
# -------------------------------------------------------------------------
# Reconstruction helper
# -------------------------------------------------------------------------
def parallelRay(Nside, pixelWidth, angles, Nray, rayWidth):
# Suppress warning messages that pops up when dividing zeros
np.seterr(all='ignore')
Nproj = len(angles) # Number of projections
# Ray coordinates at 0 degrees.
offsets = np.linspace(-(Nray * 1.0 - 1) / 2,
(Nray * 1.0 - 1) / 2, Nray) * rayWidth
# Intersection lines/grid Coordinates
xgrid = np.linspace(-Nside * 0.5, Nside * 0.5, Nside + 1) * pixelWidth
ygrid = np.linspace(-Nside * 0.5, Nside * 0.5, Nside + 1) * pixelWidth
# Initialize vectors that contain matrix elements and corresponding
# row/column numbers
rows = np.zeros(2 * Nside * Nproj * Nray)
cols = np.zeros(2 * Nside * Nproj * Nray)
vals = np.zeros(2 * Nside * Nproj * Nray)
idxend = 0
for i in range(0, Nproj): # Loop over projection angles
ang = angles[i] * np.pi / 180.
# Points passed by rays at current angles
xrayRotated = np.cos(ang) * offsets
yrayRotated = np.sin(ang) * offsets
xrayRotated[np.abs(xrayRotated) < 1e-8] = 0
yrayRotated[np.abs(yrayRotated) < 1e-8] = 0
a = -np.sin(ang)
a = rmepsilon(a)
b = np.cos(ang)
b = rmepsilon(b)
for j in range(0, Nray): # Loop rays in current projection
#Ray: y = tx * x + intercept
t_xgrid = (xgrid - xrayRotated[j]) / a
y_xgrid = b * t_xgrid + yrayRotated[j]
t_ygrid = (ygrid - yrayRotated[j]) / b
x_ygrid = a * t_ygrid + xrayRotated[j]
# Collect all points
t_grid = np.append(t_xgrid, t_ygrid)
xx = np.append(xgrid, x_ygrid)
yy = np.append(y_xgrid, ygrid)
# Sort the coordinates according to intersection time
I = np.argsort(t_grid)
xx = xx[I]
yy = yy[I]
# Get rid of points that are outside the image grid
Ix = np.logical_and(xx >= -Nside / 2.0 * pixelWidth,
xx <= Nside / 2.0 * pixelWidth)
Iy = np.logical_and(yy >= -Nside / 2.0 * pixelWidth,
yy <= Nside / 2.0 * pixelWidth)
I = np.logical_and(Ix, Iy)
xx = xx[I]
yy = yy[I]
# If the ray pass through the image grid
if (xx.size != 0 and yy.size != 0):
# Get rid of double counted points
I = np.logical_and(
np.abs(np.diff(xx)) <= 1e-8,
np.abs(np.diff(yy)) <= 1e-8)
I2 = np.zeros(I.size + 1)
I2[0:-1] = I
xx = xx[np.logical_not(I2)]
yy = yy[np.logical_not(I2)]
# Calculate the length within the cell
length = np.sqrt(np.diff(xx)**2 + np.diff(yy)**2)
#Count number of cells the ray passes through
numvals = length.size
# Remove the rays that are on the boundary of the box in the
# top or to the right of the image grid
check1 = np.logical_and(
b == 0,
np.absolute(yrayRotated[j] - Nside / 2 * pixelWidth) <
1e-15)
check2 = np.logical_and(
a == 0,
np.absolute(xrayRotated[j] - Nside / 2 * pixelWidth) <
1e-15)
check = np.logical_not(np.logical_or(check1, check2))
if np.logical_and(numvals > 0, check):
# Calculate corresponding indices in measurement matrix
# First, calculate the mid points coord. between two
# adjacent grid points
midpoints_x = rmepsilon(0.5 * (xx[0:-1] + xx[1:]))
midpoints_y = rmepsilon(0.5 * (yy[0:-1] + yy[1:]))
#Calculate the pixel index for mid points
pixelIndicex = \
(np.floor(Nside / 2.0 - midpoints_y / pixelWidth)) * \
Nside + (np.floor(midpoints_x /
pixelWidth + Nside / 2.0))
# Create the indices to store the values to the measurement
# matrix
idxstart = idxend
idxend = idxstart + numvals
idx = np.arange(idxstart, idxend)
# Store row numbers, column numbers and values
rows[idx] = i * Nray + j
cols[idx] = pixelIndicex
vals[idx] = length
else:
print("Ray No. %d at %f degree is out of image grid!" %
(j + 1, angles[i]))
# Truncate excess zeros.
rows = rows[:idxend]
cols = cols[:idxend]
vals = vals[:idxend]
A = ss.coo_matrix((vals, (rows, cols)), shape=(Nray * Nproj, Nside**2))
return A
def rmepsilon(input):
if (input.size > 1):
input[np.abs(input) < 1e-10] = 0
else:
if np.abs(input) < 1e-10:
input = 0
return input
# -------------------------------------------------------------------------
# Reconstruction
# -------------------------------------------------------------------------
tiltSeries = scalars_array3d
tiltAngles = range(-sizeZ + 1, sizeZ, 2) # Delta angle of 2
(Nslice, Nray, Nproj) = tiltSeries.shape
Niter = 1
A = parallelRay(Nray, 1.0, tiltAngles, Nray, 1.0) # A is a sparse matrix
recon = np.empty([Nslice, Nray, Nray], dtype=float, order='F')
A = A.todense()
(Nrow, Ncol) = A.shape
rowInnerProduct = np.zeros(Nrow)
row = np.zeros(Ncol)
f = np.zeros(Ncol) # Placeholder for 2d image
beta = 1.0
# Calculate row inner product
for j in range(Nrow):
row[:] = A[j, ].copy()
rowInnerProduct[j] = np.dot(row, row)
for s in range(Nslice):
f[:] = 0
b = tiltSeries[s, :, :].transpose().flatten()
for i in range(Niter):
for j in range(Nrow):
row[:] = A[j, ].copy()
row_f_product = np.dot(row, f)
a = (b[j] - row_f_product) / rowInnerProduct[j]
f = f + row * a * beta
recon[s, :, :] = f.reshape((Nray, Nray))
(iSize, jSize, kSize) = recon.shape
t1 = time.time()
print('%d # Reconstruction %s | ' % (idx, str(t1 - t0)))
t0 = t1
# -------------------------------------------------------------------------
# Convert reconstruction array into VTK format
# -------------------------------------------------------------------------
arr = recon.ravel(order='A')
vtkarray = numpy_support.numpy_to_vtk(arr)
vtkarray.SetName('Scalars')
t1 = time.time()
print('%d # Reshape result %s | ' % (idx, str(t1 - t0)))
t0 = t1
# -------------------------------------------------------------------------
# Data access helper
# -------------------------------------------------------------------------
def createSlice():
size = sizeY * sizeY
array = np.arange(size, dtype=np.int32)
return array
def getSideSlice(offset, xSize):
size = sizeY * sizeY
slice = np.arange(size, dtype=np.int32)
for i in range(size):
slice[i] = vtkarray.GetTuple1(int(offset + (i * xSize)))
return slice
# -------------------------------------------------------------------------
# Add ghost points from neighbors
# -------------------------------------------------------------------------
from mpi4py import MPI
comm = MPI.COMM_WORLD
remoteLowerSlice = None
remoteUpperSlice = None
if idx + 1 < targetPartition:
# Share upper slice
remoteUpperSlice = createSlice()
localUpperSlice = getSideSlice(xSizes[idx] - 1, xSizes[idx])
comm.Sendrecv(localUpperSlice, (idx + 1), (2 * idx + 1),
remoteUpperSlice, (idx + 1), (2 * idx))
if idx > 0:
# Share lower slice
remoteLowerSlice = createSlice()
localLowerSlice = getSideSlice(0, xSizes[idx])
comm.Sendrecv(localLowerSlice, (idx - 1), (2 * (idx - 1)),
remoteLowerSlice, (idx - 1), (2 * (idx - 1) + 1))
t1 = time.time()
print('%d # MPI share %s | ' % (idx, str(t1 - t0)))
t0 = t1
# -------------------------------------------------------------------------
dataset = vtkImageData()
minX = 0
maxX = 0
for i in range(idx + 1):
minX = maxX
maxX += xSizes[i]
# -------------------------------------------------------------------------
# Add slice(s) to data
# -------------------------------------------------------------------------
arrayWithSlices = vtkarray.NewInstance()
arrayWithSlices.SetName('Scalars')
if remoteLowerSlice != None and remoteUpperSlice != None:
# Add both slices
minX -= 1
maxX += 1
localSizeX = maxX - minX
newSize = localSizeX * sizeY * sizeY
arrayWithSlices.SetNumberOfTuples(newSize)
localOffset = 0
for i in range(newSize):
if i % localSizeX == 0:
arrayWithSlices.SetTuple1(i, remoteLowerSlice[i / localSizeX])
elif (i + 1) % localSizeX == 0:
arrayWithSlices.SetTuple1(
i, remoteUpperSlice[((i + 1) / localSizeX) - 1])
else:
arrayWithSlices.SetTuple1(i, vtkarray.GetTuple1(localOffset))
localOffset += 1
elif remoteLowerSlice != None:
# Add lower slice
minX -= 1
localSizeX = maxX - minX
newSize = localSizeX * sizeY * sizeY
arrayWithSlices.SetNumberOfTuples(newSize)
localOffset = 0
for i in range(newSize):
if i % localSizeX == 0:
arrayWithSlices.SetTuple1(i, remoteLowerSlice[i / localSizeX])
else:
arrayWithSlices.SetTuple1(i, vtkarray.GetTuple1(localOffset))
localOffset += 1
elif remoteUpperSlice != None:
# Add upper slice
maxX += 1
localSizeX = maxX - minX
newSize = localSizeX * sizeY * sizeY
arrayWithSlices.SetNumberOfTuples(newSize)
localOffset = 0
for i in range(newSize):
if (i + 1) % localSizeX == 0:
arrayWithSlices.SetTuple1(
i, remoteUpperSlice[((i + 1) / localSizeX) - 1])
else:
arrayWithSlices.SetTuple1(i, vtkarray.GetTuple1(localOffset))
localOffset += 1
dataset.SetExtent(minX, maxX - 1, 0, sizeY - 1, 0, sizeY - 1)
dataset.GetPointData().SetScalars(arrayWithSlices)
t1 = time.time()
print('%d # build resutling image data %s | ' % (idx, str(t1 - t0)))
t0 = t1
# -------------------------------------------------------------------------
vtkDistributedTrivialProducer.SetGlobalOutput('Spark', dataset)
from vtk.vtkPVClientServerCoreCore import vtkProcessModule
from paraview import simple
from paraview.web import wamp as pv_wamp
from paraview.web import protocols as pv_protocols
from vtk.web import server
pm = vtkProcessModule.GetProcessModule()
class Options(object):
debug = False
nosignalhandlers = True
host = 'localhost'
port = 9753
timeout = 300
content = '/data/sebastien/SparkMPI/runtime/visualizer/dist'
forceFlush = False
sslKey = ''
sslCert = ''
ws = 'ws'
lp = 'lp'
hp = 'hp'
nows = False
nobws = False
nolp = False
fsEndpoints = ''
uploadPath = None
testScriptPath = ''
baselineImgDir = ''
useBrowser = 'nobrowser'
tmpDirectory = '.'
testImgFile = ''
class _VisualizerServer(pv_wamp.PVServerProtocol):
dataDir = '/data'
groupRegex = "[0-9]+\\.[0-9]+\\.|[0-9]+\\."
excludeRegex = "^\\.|~$|^\\$"
allReaders = True
viewportScale = 1.0
viewportMaxWidth = 2560
viewportMaxHeight = 1440
proxies = '/data/sebastien/SparkMPI/defaultProxies.json'
def initialize(self):
# Bring used components
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebFileListing(
_VisualizerServer.dataDir, "Home",
_VisualizerServer.excludeRegex,
_VisualizerServer.groupRegex))
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebProxyManager(
baseDir=_VisualizerServer.dataDir,
allowedProxiesFile=_VisualizerServer.proxies,
allowUnconfiguredReaders=_VisualizerServer.allReaders))
self.registerVtkWebProtocol(pv_protocols.ParaViewWebColorManager())
self.registerVtkWebProtocol(pv_protocols.ParaViewWebMouseHandler())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebViewPort(
_VisualizerServer.viewportScale,
_VisualizerServer.viewportMaxWidth,
_VisualizerServer.viewportMaxHeight))
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebViewPortImageDelivery())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebViewPortGeometryDelivery())
self.registerVtkWebProtocol(pv_protocols.ParaViewWebTimeHandler())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebSelectionHandler())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebWidgetManager())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebKeyValuePairStore())
self.registerVtkWebProtocol(
pv_protocols.ParaViewWebSaveData(
baseSavePath=_VisualizerServer.dataDir))
# Disable interactor-based render calls
simple.GetRenderView().EnableRenderOnInteraction = 0
simple.GetRenderView().Background = [0, 0, 0]
# Update interaction mode
pxm = simple.servermanager.ProxyManager()
interactionProxy = pxm.GetProxy('settings',
'RenderViewInteractionSettings')
interactionProxy.Camera3DManipulators = [
'Rotate', 'Pan', 'Zoom', 'Pan', 'Roll', 'Pan', 'Zoom',
'Rotate', 'Zoom'
]
# -------------------------------------------------------------------------
print('%d # > Start visualization - %s | ' % (idx, str(datetime.now())))
# -------------------------------------------------------------------------
args = Options()
if pm.GetPartitionId() == 0:
producer = simple.DistributedTrivialProducer()
producer.UpdateDataset = ''
producer.UpdateDataset = 'Spark'
producer.WholeExtent = [0, sizeX - 1, 0, sizeY - 1, 0, sizeY - 1]
server.start_webserver(options=args, protocol=_VisualizerServer)
pm.GetGlobalController().TriggerBreakRMIs()
print('%d # < Stop visualization - %s | ' % (idx, str(datetime.now())))
yield (idx, targetPartition)