Source code for pipeline.hif.tasks.makecutoutimages.display

import collections
import os

import numpy as np

import pipeline.infrastructure as infrastructure
from pipeline.h.tasks.common.displays import sky as sky
from pipeline.infrastructure import casa_tools

LOG = infrastructure.get_logger(__name__)

# class used to transfer image statistics through to plotting routines
ImageStats = collections.namedtuple('ImageStats', 'rms max')


[docs]class CutoutimagesSummary(object): def __init__(self, context, result): self.context = context self.result = result
[docs] def plot(self): stage_dir = os.path.join(self.context.report_dir, 'stage%d' % self.result.stage_number) if not os.path.exists(stage_dir): os.mkdir(stage_dir) LOG.info("Making PNG cutout images for weblog") plot_wrappers = [] for subimagename in self.result.subimagenames: if '.psf.' in subimagename: plot_wrappers.append(sky.SkyDisplay().plot(self.context, subimagename, reportdir=stage_dir, intent='', collapseFunction='mean', vmin=-0.1, vmax=0.3)) elif '.image.' in subimagename and '.pbcor' not in subimagename: # PIPE-491 report non-pbcor stats and don't display images with casa_tools.ImageReader(subimagename) as image: self.result.image_stats = image.statistics(robust=True) elif '.residual.' in subimagename and '.pbcor.' not in subimagename: # PIPE-491 report non-pbcor stats and don't display images with casa_tools.ImageReader(subimagename) as image: self.result.residual_stats = image.statistics(robust=True) elif '.image.pbcor.' in subimagename and '.rms.' not in subimagename: plot_wrappers.append(sky.SkyDisplay().plot(self.context, subimagename, reportdir=stage_dir, intent='', collapseFunction='mean', vmin=-5 * self.result.RMSmedian, vmax=20 * self.result.RMSmedian)) with casa_tools.ImageReader(subimagename) as image: self.result.pbcor_stats = image.statistics(robust=True) elif '.rms.' in subimagename: plot_wrappers.append(sky.SkyDisplay().plot(self.context, subimagename, reportdir=stage_dir, intent='', collapseFunction='mean')) with casa_tools.ImageReader(subimagename) as image: self.result.rms_stats = image.statistics(robust=True) self.result.RMSmedian = self.result.rms_stats.get('median')[0] arr = image.getchunk() # PIPE-489 changed denominators to unmasked (non-zero) pixels # get fraction of pixels <= 120 micro Jy VLASS technical goal. ignore 0 (masked) values. self.result.RMSfraction120 = (np.count_nonzero((arr != 0) & (arr <= 120e-6)) / float(np.count_nonzero(arr != 0))) * 100 # get fraction of pixels <= 168 micro Jy VLASS SE goal. ignore 0 (masked) values. self.result.RMSfraction168 = (np.count_nonzero((arr != 0) & (arr <= 168e-6)) / float(np.count_nonzero(arr != 0))) * 100 # get fraction of pixels <= 200 micro Jy VLASS technical requirement. ignore 0 (masked) values. self.result.RMSfraction200 = (np.count_nonzero((arr != 0) & (arr <= 200e-6)) / float(np.count_nonzero(arr != 0))) * 100 # PIPE-642: include the number and percentage of masked pixels in weblog self.result.n_masked = np.count_nonzero(arr == 0) self.result.pct_masked = (np.count_nonzero(arr == 0) / float(arr.size)) * 100 elif '.residual.pbcor.' in subimagename and not subimagename.endswith('.rms'): plot_wrappers.append(sky.SkyDisplay().plot(self.context, subimagename, reportdir=stage_dir, intent='', collapseFunction='mean')) with casa_tools.ImageReader(subimagename) as image: self.result.pbcor_residual_stats = image.statistics(robust=True) elif '.pb.' in subimagename: plot_wrappers.append(sky.SkyDisplay().plot(self.context, subimagename, reportdir=stage_dir, intent='', collapseFunction='mean')) with casa_tools.ImageReader(subimagename) as image: self.result.pb_stats = image.statistics(robust=True) else: plot_wrappers.append(sky.SkyDisplay().plot(self.context, subimagename, reportdir=stage_dir, intent='', collapseFunction='mean')) return [p for p in plot_wrappers if p is not None]