# **************************************************************************
# *
# * Authors: Javier Vargas (jvargas@cnb.csic.es)
# *
# * Unidad de Bioinformatica of Centro Nacional de Biotecnologia , CSIC
# *
# * This program is free software; you can redistribute it and/or modify
# * it under the terms of the GNU General Public License as published by
# * the Free Software Foundation; either version 2 of the License, or
# * (at your option) any later version.
# *
# * This program is distributed in the hope that it will be useful,
# * but WITHOUT ANY WARRANTY; without even the implied warranty of
# * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# * GNU General Public License for more details.
# *
# * You should have received a copy of the GNU General Public License
# * along with this program; if not, write to the Free Software
# * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
# * 02111-1307 USA
# *
# * All comments concerning this program package may be sent to the
# * e-mail address 'scipion@cnb.csic.es'
# *
# **************************************************************************
from pyworkflow.viewer import ProtocolViewer, DESKTOP_TKINTER, WEB_DJANGO
from pyworkflow.protocol.params import LabelParam, StringParam
from pwem.viewers.showj import RENDER, ORDER, VISIBLE, MODE, MODE_MD
from pwem.viewers import DataView
import pwem.emlib.metadata as md
from .plotter import XmippPlotter
from xmipp3.protocols.protocol_validate_nontilt import XmippProtValidateNonTilt
IMAGE_INDEX = 'Image index'
P_INDEX = 'Cluster tendency parameter'
[docs]class XmippValidateNonTiltViewer(ProtocolViewer):
""" Wrapper to visualize different type of data objects
with the Xmipp program xmipp_showj
"""
_label = 'viewer validate_nontilt'
_environments = [DESKTOP_TKINTER, WEB_DJANGO]
_targets = [XmippProtValidateNonTilt]
def _defineParams(self, form):
form.addSection(label='Show Results Validate NonTilt')
form.addParam('volForCurve', StringParam, default=1,
label="Show info for volume")
form.addParam('doShowVolume', LabelParam,
label="Display the volume with quality parameter?")
form.addParam('doShowP', LabelParam,
label="Display the clustering tendency curve?")
def _getVisualizeDict(self):
return {'doShowVolume': self._viewVolume,
'doShowP': self._viewP
}
def _viewVolume(self, e=None):
viewLabels = 'id enabled _index _filename _xmipp_weight'
cm = DataView(self.protocol.outputVolumes.getFileName(), viewParams={MODE : MODE_MD,
ORDER : viewLabels,
RENDER :'_filename',
VISIBLE : viewLabels})
return [cm]
def _viewP(self, e=None):
volId = int(self.volForCurve.get())
vol = self.protocol.outputVolumes[volId]
if vol is None: # Wrong volume selection
return [self.errorMessage("Invalid volume id *%d*" % volId)]
pFn = vol.clusterMd.get()
mdCls = md.MetaData(vol.clusterMd.get())
return [self._viewPlot("Cluster tendency parameter for each image", IMAGE_INDEX, P_INDEX,
mdCls, md.MDL_IMAGE_IDX, md.MDL_WEIGHT, color='b'),
DataView(pFn)]
def _viewPlot(self, title, xTitle, yTitle, mdFn, mdLabelX, mdLabelY, color='g'):
#xplotter = XmippPlotter(1, 1, figsize=(4,4), windowTitle="Plot")
#xplotter.createSubPlot(title, xTitle, yTitle)
#xplotter.plotMdFile(md, mdLabelX, mdLabelY, color)
mdFn.sort(md.MDL_WEIGHT)
plotter = XmippPlotter()
plotter.createSubPlot("", IMAGE_INDEX, P_INDEX)
plotter.plotMdFile(mdFn, None, md.MDL_WEIGHT)
return plotter