/
ToolboxGUI.py
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/
ToolboxGUI.py
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# Script control setup area
__script__.title = 'ECH Toolbox'
__script__.version = '1.0'
__datasource__ = __register__.getDataSourceViewer()
from Reduction import reduction
''' User Interface '''
# Plot Helper: always Plot2 to Plot 3
# At the top for convenience
plh_copy = Act('plh_copy_proc()', 'Copy plot')
Group('Copy 1D Datasets to Plot 3').add(plh_copy)
# Show info
# What we show
info_table = {'Proposal Number':'experiment_title',
'User':'user',
'Sample Name': 'sample_name',
'Mono': 'mom',
'Setup': '/entry1/sample/description',
'Start': 'stth',
'Step count time':'detector_time',
'Start time': '$entry/start_time'}
extra_info_table = {'TC1 setpoint':'/entry1/sample/tc1/sensor/setpoint1',
'TC2 setpoint':'/entry1/sample/tc1/sensor/setpoint2',
'TC3 setpoint':'/entry1/sample/tc2/sensor/setpoint1'}
full_info = Par('bool','False')
info_show = Act('info_show_proc()', 'Show File information')
Group('Information').add(full_info,info_show)
# The tuple for each key contains the location, axis label (for the plot), and
# the value of error for display as a percentage of the measured value. If a
# negative error is given, counting statistics are assumed
plot_choice_table = {'TC1':('/entry1/sample/tc1/sensor/sensorValueA','Temperature',2.0),
'TC2':('/entry1/sample/tc1/sensor/sensorValueB','Temperature',2.0),
'Magnet Stick 1':('/entry1/sample/tc1/Loop2/sensor','Temperature',2.0),
'Magnet Stick 2':('/entry1/sample/tc1/Loop2/sensor','Temperature',2.0),
'Magnet Heat Exchanger':('/entry1/sample/tc1/Loop1/sensor','Temperature',2.0),
'Total counts':('/entry1/data/total_counts','Counts',-1)}
neat_keys = plot_choice_table.keys()
neat_keys.sort()
plot_choice = Par('string','',options=neat_keys)
plot_choice.title = 'Item to plot'# The tuple for each key contains the location, axis label (for the plot), and
plot_info = Act('plot_values_proc()','Plot selected values')
Group('Plotting').add(plot_choice,plot_info)
# Re-prepare the GUI with current plot contents
prepare_act = Act('prepare_proc()','Prepare')
Group('Prepare').add(prepare_act)
# Some maths operations
first_ds = Par('string','',options=[])
subbed_ds = Par('string','',options=[])
subbed_plot_act = Act('sub_plot_proc()','Subtract')
Group('Subtraction').add(first_ds,subbed_ds,subbed_plot_act)
# Multiplication
mult_ds = Par('string','',options=[])
mult_fact = Par('string','1.0')
mult_act = Act('mult_proc()','Multiply')
Group('Multiplication').add(mult_ds,mult_fact,mult_act)
# Import external file
external_filename = Par('file','')
external_wavelength = Par('float',1.622)
import_act = Act('import_proc()','Import File')
Group('Import').add(external_filename,external_wavelength,import_act)
# Plot settings
ps_plotname = Par('string','Plot 2',options=['Plot 2','Plot 3'])
ps_dspacing = Par('bool',False,command='dspacing_change()')
Group('Plot settings').add(ps_plotname,ps_dspacing)
''' Button callbacks '''
def prepare_proc():
"""Load the plot titles into the GUI"""
global Plot2,Plot3
curves = []
if Plot2.ds is not None:
curves = curves + map(lambda a:a.title,Plot2.ds)
if Plot3.ds is not None:
curves = curves + map(lambda a:a.title,Plot3.ds)
first_ds.options = curves
subbed_ds.options = curves
mult_ds.options = curves
def sub_plot_proc():
"""Subtract two datasets given their titles only"""
# We use the same approach as summation in the
# main Echidna GUI routines. We first merge,
# then sum.
top_name = str(first_ds.value)
bot_name = str(subbed_ds.value)
top_ds,t = find_ds_by_title(top_name)
bottom_ds,b = find_ds_by_title(bot_name)
neg_ds = bottom_ds * (-1.0)
final_ds = reduction.merge_datasets([top_ds,neg_ds])
final_ds,info_string = reduction.debunch(final_ds,(0.03,'None')) #for testing, for now
final_ds.title = 'Subtracted datasets'
Plot2.set_dataset(final_ds)
def mult_proc():
"""Multiply a dataset given the title"""
global Plot2,Plot3
mult_name = str(mult_ds.value)
target_ds,target_plot = find_ds_by_title(mult_name)
final_ds = target_ds * float(mult_fact.value)
target_plot.remove_dataset(target_ds)
target_plot.add_dataset(final_ds)
def find_ds_by_title(title):
"""Utility function to find a dataset in a plot by title"""
global Plot2,Plot3
for one_plot in [Plot2,Plot3]:
dss = one_plot.ds
if dss is None:
continue
titles = map(lambda a:a.title,dss)
if titles.count(title) == 1:
return dss[titles.index(title)], one_plot
elif titles.count(title)>1:
print 'Error: ambiguous title %s' % title
def info_show_proc():
import os,datetime
dss = __datasource__.getSelectedDatasets()
for fn in dss:
loc = fn.getLocation()
dset = df[str(loc)]
filename = os.path.basename(str(loc))
print '\nInformation for filename: %s\n' % filename
final_table = info_table
if full_info.value:
final_table.update(extra_info_table)
for key in final_table:
true_key = final_table[key]
try:
value = getattr(dset,true_key)
except:
try:
value = SimpleData(dset.__iNXroot__.findContainerByPath(true_key))
except:
continue
if len(value) > 1 and value.dtype != type(''):
value = value[0]
print '%20s: %s' % (key,value)
# Now for the other values
print '%20s: %s' % ('Number of steps',len(dset['stth']))
start_time = datetime.datetime.strptime(str(dset['$entry/start_time']),"%Y-%m-%d %H:%M:%S")
end_time = datetime.datetime.strptime(str(dset['$entry/end_time']),"%Y-%m-%d %H:%M:%S")
print '%20s: %s' % ('Total time',"%s" % (end_time-start_time))
def plot_values_proc():
"""Plot the selected values to Plot 2"""
import os
dss = __datasource__.getSelectedDatasets()
target = str(plot_choice.value)
for fn in dss:
loc = fn.getLocation()
dset = df[str(loc)]
filename = os.path.basename(str(loc))
print '\nInformation for filename: %s\n' % filename
try:
true_key = plot_choice_table[target][0]
except KeyError: # user input directly
true_key = target
try:
value = getattr(dset,true_key)
except:
try:
value = SimpleData(dset.__iNXroot__.findContainerByPath(true_key))
except:
continue
# Print raw values
print "%s: " % target + `value`
dset = Dataset(value)
# figure out variance
try:
error_calc = plot_choice_table[target][2]
except KeyError:
error_calc = 2.0
if error_calc < 0:
dset.var = dset.storage
else:
dset.var = (dset.storage * error_calc / 100.0)**2
dset.title = filename + ":" + target
Plot2.set_dataset(dset)
Plot2.x_label = 'Step'
Plot2.title = 'Information plot'
try:
Plot2.y_label = plot_choice_table[target][1]
except KeyError:
Plot2.y_label = target
def import_proc():
"""Import a three-column ASCII file (TODO: CIF). Any line whose first non-whitespace character
is not [0-9.+-] is considered to be a comment and ignored. Columns are assumed to be in
order of angle,intensity,error."""
from Reduction import AddCifMetadata
import_file = str(external_filename.value)
import_wl = float(external_wavelength.value)
lines = open(import_file).readlines()
print 'File %s: %d lines read in' % (import_file,len(lines))
# Remove empty lines
lines = map(lambda a:a.strip(),lines)
lines = filter(lambda a:len(a)>0,lines)
# Choose only numeric-valued lines
lines = filter(lambda a:a.strip()[0] in '0123456789.+-',lines)
print 'File %s: %d lines accepted' % (import_file,len(lines))
split_lines = map(lambda a:a.split(),lines)
float_lines = map(lambda b:map(lambda a:float(a),b),split_lines)
columns = zip(*float_lines)
# Now create the dataset
ds = Dataset(columns[1])
# Auto-detect GSAS centidegrees
axis = Array(columns[0])
if axis.max() > 361:
# Assume centidegrees
axis = axis/100.0
ds.set_axes([axis],anames=['Two theta'],aunits=['Degrees'])
if len(columns)>=3:
ds.var = Array(columns[2])**2
AddCifMetadata.add_metadata_methods(ds)
ds.add_metadata("_diffrn_radiation_wavelength",import_wl,"CIF")
ds.title = os.path.basename(import_file)
Plot2.set_dataset(ds)
Plot2.title = ds.title
def plh_copy_proc():
# We copy from Plot 2 to Plot 3 only
print 'Test printing from button actions'
src = 'Plot 2'
dst = 'Plot 3'
plots = {'Plot 1': Plot1, 'Plot 2': Plot2, 'Plot 3': Plot3}
src_plot = plots[src]
dst_plot = plots[dst]
src_ds = src_plot.ds
if type(src_ds) is not list:
print 'source plot does not contain 1D datasets'
return
dst_ds = dst_plot.ds
if type(dst_ds) is not list:
dst_ds = []
dst_ds_ids = [id(ds) for ds in dst_ds]
for ds in src_ds:
if id(ds) not in dst_ds_ids:
send_to_plot(ds,dst_plot,add=True,add_timestamp=False)
def dspacing_change():
"""Toggle the display of d spacing on the horizontal axis"""
global Plot2,Plot3
from Reduction import reduction
plot_table = {'Plot 2':Plot2, 'Plot 3':Plot3}
target_plot = plot_table[str(ps_plotname.value)]
if target_plot.ds is None:
return
# Preliminary check we are not displaying something
# irrelevant, e.g. monitor counts
for ds in target_plot.ds:
if ds.axes[0].name not in ['Two theta','d-spacing']:
return
change_dss = copy(target_plot.ds)
# Check to see what change is required
need_d_spacing = ps_dspacing.value
# target_plot.clear() causes problems; use 'remove' instead
# need to set the xlabel by hand due to gplot bug
if need_d_spacing: target_plot.x_label = 'd-spacing (Angstroms)'
elif not need_d_spacing: target_plot.x_label = 'Two theta (Degrees)'
target_plot.y_label = 'Intensity'
for ds in change_dss:
current_axis = ds.axes[0].name
print '%s has axis %s' % (ds.title,current_axis)
if need_d_spacing:
result = reduction.convert_to_dspacing(ds)
elif not need_d_spacing:
result = reduction.convert_to_twotheta(ds)
if result == 'Changed':
target_plot.remove_dataset(ds)
target_plot.add_dataset(ds)