project.py
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#--------------------------------------------------------------------------
# Software: InVesalius - Software de Reconstrucao 3D de Imagens Medicas
# Copyright: (C) 2001 Centro de Pesquisas Renato Archer
# Homepage: http://www.softwarepublico.gov.br
# Contact: invesalius@cti.gov.br
# License: GNU - GPL 2 (LICENSE.txt/LICENCA.txt)
#--------------------------------------------------------------------------
# Este programa e software livre; voce pode redistribui-lo e/ou
# modifica-lo sob os termos da Licenca Publica Geral GNU, conforme
# publicada pela Free Software Foundation; de acordo com a versao 2
# da Licenca.
#
# Este programa eh distribuido na expectativa de ser util, mas SEM
# QUALQUER GARANTIA; sem mesmo a garantia implicita de
# COMERCIALIZACAO ou de ADEQUACAO A QUALQUER PROPOSITO EM
# PARTICULAR. Consulte a Licenca Publica Geral GNU para obter mais
# detalhes.
#--------------------------------------------------------------------------
import datetime
import glob
import os
import plistlib
import shutil
import tarfile
import tempfile
import wx
from wx.lib.pubsub import pub as Publisher
import vtk
import constants as const
import data.mask as msk
import data.polydata_utils as pu
import data.surface as srf
from presets import Presets
from utils import Singleton, debug
import version
class Project(object):
# Only one project will be initialized per time. Therefore, we use
# Singleton design pattern for implementing it
__metaclass__= Singleton
def __init__(self):
# Patient/ acquistion information
self.name = ''
self.modality = ''
self.original_orientation = ''
self.window = ''
self.level = ''
# Masks (vtkImageData)
self.mask_dict = {}
# Surfaces are (vtkPolyData)
self.surface_dict = {}
self.last_surface_index = -1
# Measurements
self.measurement_dict = {}
# TODO: Future ++
self.annotation_dict = {}
# InVesalius related data
# So we can find bugs and reproduce user-related problems
self.invesalius_version = version.get_svn_revision()
self.presets = Presets()
self.threshold_modes = self.presets.thresh_ct
self.threshold_range = ''
self.raycasting_preset = ''
#self.surface_quality_list = ["Low", "Medium", "High", "Optimal *",
# "Custom"i]
# TOOD: define how we will relate this quality possibilities to
# values set as decimate / smooth
# TODO: Future +
# Allow insertion of new surface quality modes
def Close(self):
for name in self.__dict__:
attr = getattr(self, name)
del attr
self.__init__()
def AddMask(self, mask):
"""
Insert new mask (Mask) into project data.
input
@ mask: Mask associated to mask
output
@ index: index of item that was inserted
"""
index = len(self.mask_dict)
self.mask_dict[index] = mask
return index
def RemoveMask(self, index):
new_dict = {}
for i in self.mask_dict:
if i < index:
new_dict[i] = self.mask_dict[i]
if i > index:
new_dict[i-1] = self.mask_dict[i]
new_dict[i-1].index = i-1
self.mask_dict = new_dict
def GetMask(self, index):
return self.mask_dict[index]
def AddSurface(self, surface):
#self.last_surface_index = surface.index
index = len(self.surface_dict)
self.surface_dict[index] = surface
return index
def ChangeSurface(self, surface):
index = surface.index
self.surface_dict[index] = surface
def RemoveSurface(self, index):
new_dict = {}
for i in self.surface_dict:
if i < index:
new_dict[i] = self.surface_dict[i]
if i > index:
new_dict[i-1] = self.surface_dict[i]
new_dict[i-1].index = i-1
self.surface_dict = new_dict
def AddMeasurement(self, measurement):
index = len(self.measurement_dict)
measurement.index = index
self.measurement_dict[index] = measurement
return index
def ChangeMeasurement(self, measurement):
index = measurement.index
self.measurement_dict[index] = measurement
def RemoveMeasurement(self, index):
new_dict = {}
for i in self.measurement_dict:
if i < index:
new_dict[i] = self.measurement_dict[i]
if i > index:
new_dict[i-1] = self.measurement_dict[i]
new_dict[i-1].index = i-1
self.measurement_dict = new_dict
def SetAcquisitionModality(self, type_=None):
if type_ is None:
type_ = self.modality
if type_ == "MRI":
self.threshold_modes = self.presets.thresh_mri
elif type_ == "CT":
self.threshold_modes = self.presets.thresh_ct
else:
debug("Different Acquisition Modality!!!")
self.modality = type_
def SetRaycastPreset(self, label):
path = os.path.join(RAYCASTING_PRESETS_DIRECTORY, label + '.plist')
preset = plistlib.readPlist(path)
Publisher.sendMessage('Set raycasting preset', preset)
def GetMeasuresDict(self):
measures = {}
d = self.measurement_dict
for i in d:
m = d[i]
item = {}
item["index"] = m.index
item["name"] = m.name
item["colour"] = m.colour
item["value"] = m.value
item["location"] = m.location
item["type"] = m.type
item["slice_number"] = m.slice_number
item["points"] = m.points
item["visible"] = m.is_shown
measures[str(m.index)] = item
return measures
def SavePlistProject(self, dir_, filename):
dir_temp = tempfile.mkdtemp()
filename_tmp = os.path.join(dir_temp, 'matrix.dat')
filelist = {}
project = {
# Format info
"format_version": 1,
"invesalius_version": const.INVESALIUS_VERSION,
"date": datetime.datetime.now().isoformat(),
# case info
"name": self.name, # patient's name
"modality": self.modality, # CT, RMI, ...
"orientation": self.original_orientation,
"window_width": self.window,
"window_level": self.level,
"scalar_range": self.threshold_range,
"spacing": self.spacing,
}
# Saving the matrix containing the slices
matrix = {'filename': u'matrix.dat',
'shape': self.matrix_shape,
'dtype': self.matrix_dtype,
}
project['matrix'] = matrix
filelist[self.matrix_filename] = 'matrix.dat'
#shutil.copyfile(self.matrix_filename, filename_tmp)
# Saving the masks
masks = {}
for index in self.mask_dict:
masks[str(index)] = self.mask_dict[index].SavePlist(dir_temp,
filelist)
project['masks'] = masks
# Saving the surfaces
surfaces = {}
for index in self.surface_dict:
surfaces[str(index)] = self.surface_dict[index].SavePlist(dir_temp,
filelist)
project['surfaces'] = surfaces
# Saving the measurements
measurements = self.GetMeasuresDict()
measurements_filename = 'measurements.plist'
temp_mplist = tempfile.mktemp()
plistlib.writePlist(measurements,
temp_mplist)
filelist[temp_mplist] = measurements_filename
project['measurements'] = measurements_filename
# Saving the annotations (empty in this version)
project['annotations'] = {}
# Saving the main plist
temp_plist = tempfile.mktemp()
plistlib.writePlist(project, temp_plist)
filelist[temp_plist] = 'main.plist'
# Compressing and generating the .inv3 file
path = os.path.join(dir_,filename)
Compress(dir_temp, path, filelist)
# Removing the temp folder.
shutil.rmtree(dir_temp)
for f in filelist:
if filelist[f].endswith('.plist'):
print f
os.remove(f)
def OpenPlistProject(self, filename):
import data.measures as ms
if not const.VTK_WARNING:
log_path = os.path.join(const.LOG_FOLDER, 'vtkoutput.txt')
fow = vtk.vtkFileOutputWindow()
fow.SetFileName(log_path)
ow = vtk.vtkOutputWindow()
ow.SetInstance(fow)
filelist = Extract(filename, tempfile.mkdtemp())
dirpath = os.path.abspath(os.path.split(filelist[0])[0])
# Opening the main file from invesalius 3 project
main_plist = os.path.join(dirpath ,'main.plist')
project = plistlib.readPlist(main_plist)
# case info
self.name = project["name"]
self.modality = project["modality"]
self.original_orientation = project["orientation"]
self.window = project["window_width"]
self.level = project["window_level"]
self.threshold_range = project["scalar_range"]
self.spacing = project["spacing"]
# Opening the matrix containing the slices
filepath = os.path.join(dirpath, project["matrix"]["filename"])
self.matrix_filename = filepath
self.matrix_shape = project["matrix"]['shape']
self.matrix_dtype = project["matrix"]['dtype']
# Opening the masks
self.mask_dict = {}
for index in project["masks"]:
filename = project["masks"][index]
filepath = os.path.join(dirpath, filename)
m = msk.Mask()
m.OpenPList(filepath)
self.mask_dict[m.index] = m
# Opening the surfaces
self.surface_dict = {}
for index in project["surfaces"]:
filename = project["surfaces"][index]
filepath = os.path.join(dirpath, filename)
s = srf.Surface(int(index))
s.OpenPList(filepath)
self.surface_dict[s.index] = s
# Opening the measurements
self.measurement_dict = {}
measurements = plistlib.readPlist(os.path.join(dirpath,
project["measurements"]))
for index in measurements:
measure = ms.Measurement()
measure.Load(measurements[index])
self.measurement_dict[int(index)] = measure
def Compress(folder, filename, filelist):
tmpdir, tmpdir_ = os.path.split(folder)
current_dir = os.path.abspath(".")
#os.chdir(tmpdir)
#file_list = glob.glob(os.path.join(tmpdir_,"*"))
tar_filename = tmpdir_ + ".inv3"
tar = tarfile.open(filename.encode(wx.GetDefaultPyEncoding()), "w:gz")
for name in filelist:
tar.add(name, arcname=os.path.join(tmpdir_, filelist[name]))
tar.close()
#shutil.move(tmpdir_+ ".inv3", filename)
#os.chdir(current_dir)
def Extract(filename, folder):
tar = tarfile.open(filename, "r:gz")
idir = os.path.split(tar.getnames()[0])[0]
os.mkdir(os.path.join(folder, idir.decode('utf8')))
filelist = []
for t in tar.getmembers():
fsrc = tar.extractfile(t)
fname = os.path.join(folder, t.name.decode('utf-8'))
fdst = file(fname, 'wb')
shutil.copyfileobj(fsrc, fdst)
filelist.append(fname)
fsrc.close()
fdst.close()
del fsrc
del fdst
tar.close()
print filelist
return filelist
def Extract_(filename, folder):
tar = tarfile.open(filename, "r:gz")
#tar.list(verbose=True)
tar.extractall(folder)
filelist = [os.path.join(folder, i) for i in tar.getnames()]
tar.close()
return filelist