def _update_image_properties(self):
"""
Actualiza los campos que muestran las propiedades de la imagen
"""
index = self._images_list.currentRow() #obtener el índice de la imagen seleccionada
if 0 <= index < self._images_list.count():
id = self._images_ids[index] #obtener el id de la imagen según el índice
img = Application.get_images()[id]
self._images_list.currentItem().setText(img.DisplayName)
index = self._images_list.currentRow() #obtener el índice de la imagen seleccionada
id = self._images_ids[index] #obtener el id de la imagen según el índice
img = Application.get_images()[id] #imagen para obtener las propiedades
#actualizar los atributos de la imagen que se muestran
self._properties_tree.blockSignals(True)
self._id_prop.setText(1,str(img.Id))
self._name_prop.setText(1,str(img.DisplayName))
self._format_prop.setText(1,str(img.OriginalFormat))
self._file_prop.setText(1,str(img.OriginalFile))
self._dim_prop.setText(1,str(img.Dimension))
self._pt_prop.setText(1,str(img.PixelType))
self._size_prop.setText(1,str(img.Size))
self._sizeX_prop.setText(1,str(img.Size[0]))
self._sizeY_prop.setText(1,str(img.Size[1]))
self._sizeZ_prop.setText(1,str(img.Size[2]))
self._spc_prop.setText(1,str(img.Spacing))
self._spcX_prop.setText(1,str(img.Spacing[0]))
self._spcY_prop.setText(1,str(img.Spacing[1]))
self._spcZ_prop.setText(1,str(img.Spacing[2]))
self._properties_tree.blockSignals(False)
def _load_series(self):
img_ldr = SeriesLoader() #crear un cargador
res, img = img_ldr.run() #ejecutar el cargador
if res == ImageLoader.OK:
Application.add_image(
img) #agregar la nueva imagen cargada a la aplicación
#notificar al sincronizador de las propiedades de las imágenes que hay una nueva imagen cargada
self._images_ui_synchronizer.add_image(img)
def _processImage(self):
wt = WaitProcess
wt.run()
wt.change_value(50)
wt.change_info("Procesando imagen")
Application.processImage()
wt.change_value(80)
wt.change_info("Visualizando datos")
#actualizar la vista de los tres planos de la imagen procesada
self._processed_planes.Image = Application.get_processed_image()
self._filters_ui_synchronizer._update_filters_properties()
wt.stop()
def _update_filters_properties(self):
"""
Actualiza las propiedades que se muestran de los filtros
"""
self._properties_tree.blockSignals(True)
smooth = Application.get_current_document()._smooth_pipe
self._iterations_prop.setText(1,str(smooth.NumberOfIterations))
self._time_step_prop.setText(1,str(smooth.TimeStep))
self._conductance_prop.setText(1,str(smooth.Conductance))
self._smoother_prop.setText(1,str([smooth.NumberOfIterations,smooth.TimeStep,
smooth.Conductance]))
state = Qt.Unchecked
if Application.get_current_document().usingSmoother():
state = Qt.Checked
self._smoother_prop.setCheckState(0,state)
segment = Application.get_current_document()._segment_pipe
self._seed_prop.setText(1,str(segment.Seed))
self._seedX_prop.setText(1,str(segment.Seed[0]))
self._seedY_prop.setText(1,str(segment.Seed[1]))
self._seedZ_prop.setText(1,str(segment.Seed[2]))
self._min_threshold_prop.setText(1,str(segment.LowerThreshold))
self._max_threshold_prop.setText(1,str(segment.UpperThreshold))
self._replace_value_prop.setText(1,str(segment.ReplaceValue))
state = Qt.Unchecked
if Application.get_current_document().usingSegmentor():
state = Qt.Checked
self._segment_prop.setCheckState(0,state)
confidence = Application.get_current_document()._confidence_connected_pipe
self._conf_seed_prop.setText(1,str(confidence.Seed))
self._conf_seedX_prop.setText(1,str(confidence.Seed[0]))
self._conf_seedY_prop.setText(1,str(confidence.Seed[1]))
self._conf_seedZ_prop.setText(1,str(confidence.Seed[2]))
self._conf_radius_prop.setText(1,str(confidence.InitialRadius))
self._conf_mult_value_prop.setText(1,str(confidence.Multiplier))
self._conf_repl_value_prop.setText(1,str(confidence.ReplaceValue))
self._conf_iter_prop.setText(1,str(confidence.NumberOfIterations))
state = Qt.Unchecked
if Application.get_current_document().usingConfidenceConnected():
state = Qt.Checked
self._confidence_prop.setCheckState(0,state)
voting = Application.get_current_document()._voting_pipe
self._radius_prop.setText(1,str(voting.Radius))
self._radiusX_prop.setText(1,str(voting.Radius[0]))
self._radiusY_prop.setText(1,str(voting.Radius[1]))
self._radiusZ_prop.setText(1,str(voting.Radius[2]))
self._foreground_prop.setText(1,str(voting.Foreground))
self._background_prop.setText(1,str(voting.Background))
self._survival_prop.setText(1,str(voting.SurvivalValue))
self._birth_prop.setText(1,str(voting.BirthValue))
state = Qt.Unchecked
if Application.get_current_document().usingVoter():
state = Qt.Checked
self._voting_prop.setCheckState(0,state)
self._properties_tree.blockSignals(False)
def _update_image(self,item,col):
"""
Actualiza las propiedades de la imagen luego de haberlas editado
@param item: item que se editó
@param col: columna del item que se editó
@return: None
"""
#cambiaron la etiqueta de la propiedad no el valor
if col == 0:
self._update_editable_labels() #restaurar las etiquetas
return
id = self.get_selected_image_id() #obtener el id de la imagen seleccionada
if id is None: #no se ha seleccionado ninguna imagen
return
img = Application.get_images()[id]
if item.text(0) == "Nombre":
#actualizamos el nombre
img.DisplayName = self._name_prop.text(1)
elif item.text(0) in ["X","Y","Z"]:
#actualizamos el espaciado
spc = [self._spcX_prop.text(1),
self._spcY_prop.text(1),
self._spcZ_prop.text(1)]
try:
spc = map(float,spc)
#verificar que no haya un espaciado mayor que 100 o menor o igual que 0
if any(map(lambda x: 100.0<=x or x<=0.0,spc)):
raise ValueError()
img.Spacing = spc
except ValueError:
pass
self._update_image_properties()
def _update_current_image_name(self, item, col):
id = self._images_ui_synchronizer.get_selected_image_id()
img = Application.get_current_image()
if id is None or img is None:
return
if id == img.Id and col == 1 and item.text(0) == "Nombre":
self._ui.imageName.setText(item.text(1))
def base(browser_type, base_url, path):
driver = None
if browser_type == "firefox":
driver = webdriver.Firefox(path)
elif browser_type == "chrome":
driver = webdriver.Chrome(path)
driver.maximize_window()
yield Application(driver, base_url)
driver.close()
def app(request, browser_type, base_url):
if browser_type == "firefox":
driver = webdriver.Firefox()
elif browser_type == "chrome":
driver = webdriver.Chrome()
elif browser_type == "ie":
driver = webdriver.Ie()
request.addfinalizer(driver.quit)
return Application(driver, base_url)
def app(request, browser_type, base_url):
if browser_type == "firefox":
driver = webdriver.Firefox()
elif browser_type == "chrome":
driver = webdriver.Chrome()
elif browser_type == "ie":
driver = webdriver.Ie()
#driver.implicitly_wait(30)
request.addfinalizer(driver.quit) #close brawser
return Application(driver, base_url)
def application(self, request):
"""
Фикстура для инициализации тестовой конфигурации
:param request:
:param driver: Appium driver
:param test_path: директория с тестами
:rtype class
:return: объект класса Application
"""
return Application(request)
def _update_image(self):
wt = WaitProcess
wt.run()
wt.change_info("Obteniendo imagen")
wt.change_value(5)
id = self._images_ui_synchronizer.get_selected_image_id()
#verificar si la imagen seleccionada es distinta de la imagen actual
clean_pipes = (Application.get_current_image_id() != id)
#limpia las tuberías en caso de ser necesario
if id is not None:
if clean_pipes:
Application.get_current_document().clean_pipes()
wt.change_info("Cambiando imagen")
wt.change_value(50)
Application.set_current_image_id(id) #cambiar la imagen actual
img = Application.get_current_image() #obtener la imagen actual
self._ui.imageName.setText(
img.DisplayName) #actualiza el nombre mostrado de la imagen
wt.change_info("Visualizando imagen")
wt.change_value(65)
#actualizar la vista de los tres planos de la imagen
self._planes.Image = img
#habilitar el procesameinto de la imagen
self._ui.processImage.setEnabled(True)
#habilitar la configuración de los filtros
self._ui.filters.setEnabled(True)
#habilitar la salva de la configuración de los filtros
self._ui.actionGuardar_2.setEnabled(True)
#habilitar la carga de la configuración de los filtros
self._ui.actionCargar_configuraci_n.setEnabled(True)
#actualizar la información de los filtros
self._filters_ui_synchronizer.update()
wt.stop()
def app(request, browser_type, base_url):
if browser_type == "firefox":
driver = webdriver.Remote('http://172.17.10.17:4444/wd/hub',
webdriver.DesiredCapabilities.FIREFOX)
# FIXME разобраться у удаленным запуском хрома(сервер пишет нужно указать какие-то опции)
elif browser_type == "chrome":
driver = webdriver.Remote('http://172.17.10.17:4444/wd/hub',
webdriver.DesiredCapabilities.CHROME)
# TODO установить драйвер для IE
elif browser_type == "ie":
driver = webdriver.Remote('http://172.17.10.17:4444/wd/hub',
webdriver.DesiredCapabilities.Ie)
# driver.implicitly_wait(10)
request.addfinalizer(driver.quit)
return Application(driver, base_url)
def _calculate_data(self):
img = Application.get_processed_image()
if img is None:
return
self._ui.calculate.setEnabled(False)
writer = itk.ImageFileWriter[
img.ImageType].New() #crear el writer de ITK
writer.SetFileName(
self._temp_file_path) #ponerle el nombre seleccionado
writer.SetInput(img.InternalImage) #conectar la imagen a guardar
writer.Update() #guardar la imagen!
subprocess.call([
self._volume_exec_path, self._temp_file_path,
self._volume_file_path
])
#os.system('"'+self._volume_exec_path+'" "'+self._temp_file_path+'" '+self._volume_file_path)
spc = img.Spacing
spc_factor = spc[0] * spc[1] * spc[2]
f = open(self._volume_file_path, 'rt')
try:
self._vol = float(f.readline()) * spc_factor
self._lenX = float(f.readline()) * spc[0]
self._startX = map(int, f.readline()[1:-2].split(", "))
self._endX = map(int, f.readline()[1:-2].split(", "))
self._lenY = float(f.readline()) * spc[1]
self._startY = map(int, f.readline()[1:-2].split(", "))
self._endY = map(int, f.readline()[1:-2].split(", "))
self._lenZ = float(f.readline()) * spc[2]
self._startZ = map(int, f.readline()[1:-2].split(", "))
self._endZ = map(int, f.readline()[1:-2].split(", "))
finally:
f.close()
self._update_labels()
self._ui.calculate.setEnabled(True)
self._ui.save.setEnabled(True)
def save_configuration(self):
res = self._file_save_dialog.exec_(
) #ejecutar el diálogo para obtener el nombre del fichero
if res == QFileDialog.Rejected: #se canceló la salva
return
file_name = unicode(self._file_save_dialog.selectedFiles()
[0]) #obtener el nombre del fichero
doc = Application.get_current_document(
) #referencia al docmento actual de la aplicación
f = open(file_name, "wt")
try:
smoother = doc._smooth_pipe
f.write(str(doc.usingSmoother()) + "\n")
f.write(str(smoother.NumberOfIterations) + "\n")
f.write(str(smoother.TimeStep) + "\n")
f.write(str(smoother.Conductance) + "\n")
segmentor = doc._segment_pipe
f.write(str(doc.usingSegmentor()) + "\n")
f.write(str(segmentor.Seed) + "\n")
f.write(str(segmentor.LowerThreshold) + "\n")
f.write(str(segmentor.UpperThreshold) + "\n")
f.write(str(segmentor.ReplaceValue) + "\n")
conf_conn = doc._confidence_connected_pipe
f.write(str(doc.usingConfidenceConnected()) + "\n")
f.write(str(conf_conn.Seed) + "\n")
f.write(str(conf_conn.InitialRadius) + "\n")
f.write(str(conf_conn.Multiplier) + "\n")
f.write(str(conf_conn.ReplaceValue) + "\n")
f.write(str(conf_conn.NumberOfIterations) + "\n")
voter = doc._voting_pipe
f.write(str(doc.usingVoter()) + "\n")
f.write(str(voter.Radius) + "\n")
f.write(str(voter.Background) + "\n")
f.write(str(voter.Foreground) + "\n")
f.write(str(voter.SurvivalValue) + "\n")
f.write(str(voter.BirthValue) + "\n")
finally:
f.close()
def load_configuration(self):
res = self._file_load_dialog.exec_(
) #ejecutar el diálogo para obtener el nombre del fichero
if res == QFileDialog.Rejected: #se canceló la salva
return
file_name = unicode(self._file_load_dialog.selectedFiles()
[0]) #obtener el nombre del fichero
doc = Application.get_current_document(
) #referencia al docmento actual de la aplicación
f = open(file_name, "rt")
try:
smoother = doc._smooth_pipe
doc.useSmoother(self._read_bool(f))
smoother.NumberOfIterations = self._read_int(f)
smoother.TimeStep = self._read_float(f)
smoother.Conductance = self._read_float(f)
segmentor = doc._segment_pipe
doc.useSegmentor(self._read_bool(f))
segmentor.Seed = self._read_int_list(f)
segmentor.LowerThreshold = self._read_float(f)
segmentor.UpperThreshold = self._read_float(f)
segmentor.ReplaceValue = self._read_float(f)
conf_conn = doc._confidence_connected_pipe
doc.useConfidenceConnected(self._read_bool(f))
conf_conn.Seed = self._read_int_list(f)
conf_conn.InitialRadius = self._read_int(f)
conf_conn.Multiplier = self._read_float(f)
conf_conn.ReplaceValue = self._read_float(f)
conf_conn.NumberOfIterations = self._read_int(f)
voter = doc._voting_pipe
doc.useVoter(self._read_bool(f))
voter.Radius = self._read_int_list(f)
voter.Background = self._read_float(f)
voter.Foreground = self._read_float(f)
voter.SurvivalValue = self._read_int(f)
voter.BirthValue = self._read_int(f)
finally:
f.close()
from graphviz import Digraph
from model.microservices import Microservices
from model.process import Process
from model.application import Application
from model.infrastructure import Infrastructure
from model.observability import Observability
from model.test import Test
dot = Digraph(comment='Microservices Roadmap', format='png')
root = Microservices()
root.build(dot)
application = Application()
application.build(dot)
infrastructure = Infrastructure()
infrastructure.build(dot)
observability = Observability()
observability.build(dot)
process = Process()
process.build(dot)
test = Test()
test.build(dot)
dot.render('images/roadmap.gv', view=True)
class TestFirst:
def setup(self):
core.config.browser = webdriver.Firefox()
core.config.browser.implicitly_wait(5)
core.config.browser.get(core.config.url)
self.app = Application()
self.app.login(core.config.credentials)
def teardown(self):
self.app.logout()
core.config.browser.close()
@logger
def test_001_add(self):
"""test_001_add"""
self.app.add_movie(movie)
self.app.check_movie_in_list(movie['title'])
db_conditions.delete(movie)
@logger
def test_002_delete(self):
"""test_002_delete"""
db_conditions.add(movie)
self.app.refresh()
self.app.navigate_to_movie(movie['title'])
self.app.delete_movie()
self.app.check_movie_is_not_on_page(movie['title'])
def setup(self):
core.config.browser = webdriver.Firefox()
core.config.browser.implicitly_wait(5)
core.config.browser.get(core.config.url)
self.app = Application()
self.app.login(core.config.credentials)
def app(self, driver, base_url: str, test_path):
config_name = self.get_config_name()
return Application(driver, base_url, test_path, config_name)
def _save_image(self):
img_svr = ImageSaver() #crear el diálogo
img_svr.saveImage(Application.get_processed_image()) #salvar la imagen
def app(request):
driver = webdriver.Chrome()
driver.implicitly_wait(10)
request.addfinalizer(driver.quit)
return Application(driver)
from tkinter import Tk
from model.application import Application
if __name__ == '__main__':
root = Tk()
root.title("Campo Minado")
Application(root)
root.mainloop()
from controller.configuration_manager import ConfigurationManager from controller.image_loader import ImageLoader from controller.interface_runner import InterfaceRunner from controller.main_window import MainWindow from controller.slice_visualization import SliceVisualization from controller.three_planes_visualization import ThreePlanesVisualization from model.application import Application from model.image import Image __author__ = 'Alvaro Javier' #app = QApplication([]) #app.exec_() Application.init() InterfaceRunner.init() ConfigurationManager.init() main_wnidow = MainWindow() InterfaceRunner.start_even_loop(main_wnidow) #img_ldr = ImageLoader() #res,img = img_ldr.run() #if res == ImageLoader.Canceled: # sys.exit(1) #img = Application.Images()[0] #img.InternalImage.SetSpacing((1.015625, 1.015625, 1.800000)) #img.InternalImage.SetSpacing((0.9375, 0.9375, 3.1))
def app(request):
driver = webdriver.Firefox()
# driver.implicitly_wait(30)
request.addfinalizer(driver.quit)
return Application(driver)
def _update_filters(self,item,col):
"""
Actualiza las propiedades de los filtros luego de editarlas
@param item: item que se editó
@param col: columna del item que se editó
@return: None
"""
#cambiaron la etiqueta de la propiedad no el valor
if col == 0:
self._update_editable_labels()
if item.text(0) == "Suavizador":
Application.get_current_document().useSmoother(item.checkState(0) == Qt.Checked)
elif item.text(0) == "Segmentador":
Application.get_current_document().useSegmentor(item.checkState(0) == Qt.Checked)
elif item.text(0) == "Segmentador estadístico":
Application.get_current_document().useConfidenceConnected(item.checkState(0) == Qt.Checked)
elif item.text(0) == "Votación":
Application.get_current_document().useVoter(item.checkState(0) == Qt.Checked)
return
if item.text(0) == "Iteraciones" and item.parent().text(0) == "Suavizador":
try:
num = int(item.text(1))
if num<0 or num>20:
raise ValueError()
Application.get_current_document()._smooth_pipe.NumberOfIterations = num
except ValueError:
pass
elif item.text(0) == "Iteraciones" and item.parent().text(0) == "Segmentador estadístico":
try:
num = int(item.text(1))
if num<0 or num>50:
raise ValueError()
Application.get_current_document()._confidence_connected_pipe.NumberOfIterations = num
except ValueError:
pass
elif item.text(0) == "Paso de tiempo":
try:
num = float(item.text(1))
if num<0.0 or num>1.0: #límites del paso de tiempo
raise ValueError()
Application.get_current_document()._smooth_pipe.TimeStep = num
except ValueError:
pass
elif item.text(0) == "Conductancia":
try:
num = float(item.text(1))
if num<0.0 or num>100.0: #límites rasonables de conductancia
raise ValueError()
Application.get_current_document()._smooth_pipe.Conductance = num
except ValueError:
pass
elif item.parent().text(0) == "Semilla" and item.parent().parent().text(0) == "Segmentador":
#los hijos de 'Semilla' son las coordenadas
seed = [ self._seedX_prop.text(1),
self._seedY_prop.text(1),
self._seedZ_prop.text(1) ]
try:
seed = map(int,seed)
#verificar que no se incluya como semilla un valor mayor que el tamaño de la imagen o
#menor que cero
if any(map(lambda x: x<0,seed)) or\
any(imap(lambda x,y: x>=y,seed,Application.get_current_image().Size)):
raise ValueError()
Application.get_current_document()._segment_pipe.Seed = seed
except ValueError:
pass
elif item.parent().text(0) == "Semilla" and item.parent().parent().text(0) == "Segmentador estadístico":
#los hijos de 'Semilla' son las coordenadas
seed = [ self._conf_seedX_prop.text(1),
self._conf_seedY_prop.text(1),
self._conf_seedZ_prop.text(1) ]
try:
seed = map(int,seed)
#verificar que no se incluya como semilla un valor mayor que el tamaño de la imagen o
#menor que cero
if any(map(lambda x: x<0,seed)) or\
any(imap(lambda x,y: x>=y,seed,Application.get_current_image().Size)):
raise ValueError()
Application.get_current_document()._confidence_connected_pipe.Seed = seed
except ValueError:
pass
elif item.text(0) == "Mínimo":
try:
min = float(self._min_threshold_prop.text(1))
Application.get_current_document()._segment_pipe.LowerThreshold = min
except ValueError:
pass
elif item.text(0) == "Máximo":
try:
max = float(self._max_threshold_prop.text(1))
Application.get_current_document()._segment_pipe.UpperThreshold = max
except ValueError:
pass
elif item.text(0) == "Relleno" and item.parent().parent().text(0) == "Segmentador":
try:
val = float(self._replace_value_prop.text(1))
Application.get_current_document()._segment_pipe.ReplaceValue = val
except ValueError:
pass
elif item.text(0) == "Relleno" and item.parent().parent().text(0) == "Segmentador estadístico":
try:
val = float(self._conf_repl_value_prop.text(1))
Application.get_current_document()._confidence_connected_pipe.ReplaceValue = val
except ValueError:
pass
elif item.parent().text(0) == "Radio":
radius = [ self._radiusX_prop.text(1),
self._radiusY_prop.text(1),
self._radiusZ_prop.text(1) ]
try:
radius = map(str,radius)
radius = map(int,radius)
#verificar que no se incluya como radio un valor sensato (por ahora entre 0 y 20)
if any(map(lambda x: x<0 or x>20,radius)):
raise ValueError()
Application.get_current_document()._voting_pipe.Radius = radius
except ValueError:
pass
elif item.text(0) == "Radio inicial":
try:
val = int(self._conf_radius_prop.text(1))
if val<0 or val>20:
raise ValueError()
Application.get_current_document()._confidence_connected_pipe.InitialRadius = val
except ValueError:
pass
elif item.text(0) == "Multiplicador":
try:
val = float(self._conf_mult_value_prop.text(1))
if val<0:
raise ValueError()
Application.get_current_document()._confidence_connected_pipe.Multiplier = val
except ValueError:
pass
elif item.text(0) == "Fondo":
try:
val = int(self._background_prop.text(1))
if val<0 or val>255:
raise ValueError()
Application.get_current_document()._voting_pipe.Background = val
except ValueError:
pass
elif item.text(0) == "Máscara":
try:
val = int(self._foreground_prop.text(1))
if val<0:
raise ValueError()
Application.get_current_document()._voting_pipe.Foreground = val
except ValueError:
pass
elif item.text(0) == "Supervivencia":
try:
val = int(self._survival_prop.text(1))
if val<0:
raise ValueError()
Application.get_current_document()._voting_pipe.SurvivalValue = val
except ValueError:
pass
elif item.text(0) == "Nacimiento":
try:
val = int(self._birth_prop.text(1))
if val<0:
raise ValueError()
Application.get_current_document()._voting_pipe.BirthValue = val
except ValueError:
pass
self._update_filters_properties()
def main():
#
app = Application()
app.execute()
def base(browser_type, base_url):
driver = Browser(browser_type).create()
driver.maximize_window()
yield Application(driver, base_url)
driver.close()
