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from __future__ import with_statement
import sys
try:
import numpy
import reflex
from pipeline_product import PipelineProduct
import pipeline_display
import reflex_plot_widgets
import matplotlib.gridspec as gridspec
import_success = True
except ImportError:
import_success = False
print "Error importing modules pyfits, wx, matplotlib, numpy"
def paragraph(text, width=None):
""" wrap text string into paragraph
text: text to format, removes leading space and newlines
width: if not None, wraps text, not recommended for tooltips as
they are wrapped by wxWidgets by default
"""
import textwrap
if width is None:
return textwrap.dedent(text).replace('\n', ' ').strip()
else:
return textwrap.fill(textwrap.dedent(text), width=width)
class DataPlotterManager(object):
# static members
recipe_name = "kmos_wave_cal"
det_img_wave_cat = "DET_IMG_WAVE"
lcal_cat = "LCAL"
def setWindowTitle(self):
return self.recipe_name+"_interactive"
def setInteractiveParameters(self):
return [
reflex.RecipeParameter(recipe=self.recipe_name, displayName="order",
group="Wavelength Calibration", description="The wavelength polynomial order [0,7]"),
reflex.RecipeParameter(recipe=self.recipe_name, displayName="dev_flip",
group="Wavelength Calibration", description="TRUE if the wavelengths are ascending on the detector from top to bottom"),
reflex.RecipeParameter(recipe=self.recipe_name, displayName="dev_disp",
group="Wavelength Calibration", description="The expected dispersion of the wavelength in microns/pixel"),
reflex.RecipeParameter(recipe=self.recipe_name, displayName="suppress_extension",
group="Wavelength Calibration", description="Suppress arbitrary filename extension"),
]
def readFitsData(self, fitsFiles):
self.frames = dict()
for f in fitsFiles:
self.frames[f.category] = PipelineProduct(f)
# Two cases: the file category is found or not found.
# Define the plotting functions in both cases
if self.det_img_wave_cat in self.frames:
# Get the wished files
det_img_wave = self.frames[self.det_img_wave_cat]
self.det_img_wave_name = det_img_wave.fits_file.name
# Get the angle values
self.angles_list = dict()
for i in range(18):
if (i+1 < len(det_img_wave.all_hdu)):
angle = det_img_wave.readKeyword('ESO PRO ROT NAANGLE', i+1)
if not (angle in self.angles_list) :
self.angles_list[angle] = []
self.angles_list[angle].append(i+1)
# Sorted angles list
self.sorted_angles = self.angles_list.keys()
self.sorted_angles.sort()
# Read the Plotting Data
self.argon_pos_data = []
self.argon_fwhm_data = []
self.neon_pos_data = []
self.neon_fwhm_data = []
for i in range(18):
if (i+1 < len(det_img_wave.all_hdu)):
key1 = det_img_wave.readKeyword('ESO QC ARC AR POS MEAN', i+1)
key2 = det_img_wave.readKeyword('ESO QC ARC AR FWHM MEAN', i+1)
ar_vscale = det_img_wave.readKeyword('ESO QC ARC AR VSCALE', i+1)
key3 = det_img_wave.readKeyword('ESO QC ARC NE POS MEAN', i+1)
key4 = det_img_wave.readKeyword('ESO QC ARC NE FWHM MEAN', i+1)
ne_vscale = det_img_wave.readKeyword('ESO QC ARC NE VSCALE', i+1)
# Correct Key2 and Key4 units
key2 /= ar_vscale
key4 /= ne_vscale
# Fill the Argon Data for the scatter plot
self.argon_pos_data.append(key1)
self.argon_fwhm_data.append(key2)
# Fill the Neon Data for the scatter plot
self.neon_pos_data.append(key3)
self.neon_fwhm_data.append(key4)
# Read the images
self.images = []
for i in range(18):
if (i+1 < len(det_img_wave.all_hdu)):
det_img_wave.readImage(i+1)
self.images.append(det_img_wave.image)
# Set the plotting functions
self._add_subplots = self._add_subplots
self._plot = self._data_plot
else:
# Set the plotting functions to NODATA ones
self._add_subplots = self._add_nodata_subplots
self._plot = self._nodata_plot
def addSubplots(self, figure):
self._add_subplots(figure)
def plotProductsGraphics(self):
self._plot()
def plotWidgets(self) :
widgets = list()
# Radio button
self.radiobutton = reflex_plot_widgets.InteractiveRadioButtons(self.axradiobutton, self.setRadioCallback, self.sorted_angles, 0, title='Angle selection')
widgets.append(self.radiobutton)
return widgets
def setRadioCallback(self, label) :
# Get Extensions as list
extensions = self.angles_list[float(label)]
if (len(extensions) == 3):
# Setup the image display
for i in range(3):
imgdisp = pipeline_display.ImageDisplay()
imgdisp.setAspect('equal')
imgdisp.display(self.img_plot[i], "Extension {0}".format(extensions[i]), self._data_plot_get_tooltip(extensions[i]), self.images[extensions[i]-1])
else:
print "Wrong number of extensions for this angle"
def _add_subplots(self, figure):
gs = gridspec.GridSpec(5, 3)
self.img_plot = []
for i in range(3):
self.img_plot.append(figure.add_subplot(gs[0:2,i]))
self.axradiobutton = figure.add_subplot(gs[3:,0])
self.argon_plot = figure.add_subplot(gs[3,1:])
self.neon_plot = figure.add_subplot(gs[4,1:])
def _data_plot_get_tooltip(self, extension):
# Create the tooltip
tooltip = " \
ESO QC ARC AR POS MEAN : %f \n \
ESO QC ARC AR FWHM MEAN : %f \n \
ESO QC ARC NE POS MEAN : %f \n \
ESO QC ARC NE FWHM MEAN : %f \
" % (self.argon_pos_data[extension-1],self.argon_fwhm_data[extension-1],self.neon_pos_data[extension-1],self.neon_fwhm_data[extension-1])
return tooltip
def _data_plot(self):
# Get Extensions as list
extensions = self.angles_list[self.sorted_angles[0]]
if (len(extensions) == 3):
# Setup the image display
for i in range(3):
imgdisp = pipeline_display.ImageDisplay()
imgdisp.setAspect('equal')
imgdisp.display(self.img_plot[i], "Extension {0}".format(extensions[i]), self._data_plot_get_tooltip(extensions[i]), self.images[extensions[i]-1])
else:
print "Wrong number of extensions for this angle"
# Define x
size = len(self.argon_pos_data)
x = numpy.linspace(1, size, num=size)
# Plot Argon and Neon plots
scadsp = pipeline_display.ScatterDisplay()
scadsp.display(self.argon_plot, "Argon Lines", "Mean Argon line positional offset, with error bars equal to the FWH", x, self.argon_pos_data,
self.argon_fwhm_data)
scadsp = pipeline_display.ScatterDisplay()
scadsp.setLabels('File Extensions 1 -> 18','Line Pos. (pix)')
scadsp.display(self.neon_plot, "Neon Lines", "Mean Neon line positional offset, with error bars equal to the FWH", x, self.neon_pos_data,
self.neon_fwhm_data)
def _add_nodata_subplots(self, figure):
self.img_plot = figure.add_subplot(1,1,1)
def _nodata_plot(self):
# could be moved to reflex library?
self.img_plot.set_axis_off()
text_nodata = "Data not found. Input files should contain this" \
" type:\n%s" % self.det_img_wave_cat
self.img_plot.text(0.1, 0.6, text_nodata, color='#11557c',
fontsize=18, ha='left', va='center', alpha=1.0)
self.img_plot.tooltip = 'No data found'
#This is the 'main' function
if __name__ == '__main__':
from reflex_interactive_app import PipelineInteractiveApp
# Create interactive application
interactive_app = PipelineInteractiveApp(enable_init_sop=True)
# get inputs from the command line
interactive_app.parse_args()
#Check if import failed or not
if not import_success:
interactive_app.setEnableGUI(False)
#Open the interactive window if enabled
if interactive_app.isGUIEnabled():
#Get the specific functions for this window
dataPlotManager = DataPlotterManager()
interactive_app.setPlotManager(dataPlotManager)
interactive_app.showGUI()
else:
interactive_app.set_continue_mode()
#Print outputs. This is parsed by the Reflex python actor to
#get the results. Do not remove
interactive_app.print_outputs()
sys.exit()
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