test_csworkflow.py
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#! /usr/bin/env python
# ==========================================================================
# This scripts performs unit tests for the csworkflow script.
#
# Copyright (C) 2016-2018 Juergen Knoedlseder
#
# 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 3 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, see <http://www.gnu.org/licenses/>.
#
# ==========================================================================
import gammalib
import cscripts
from testing import test
# ================================ #
# Test class for csworkflow script #
# ================================ #
class Test(test):
"""
Test class for csworkflow script
This test class makes unit tests for the cslightcrv script by using it
from the command line and from Python.
"""
# Constructor
def __init__(self):
"""
Constructor
"""
# Call base class constructor
test.__init__(self)
# Set members
self._workflow = self._datadir + '/workflow.xml'
# Return
return
# Set test functions
def set(self):
"""
Set all test functions
"""
# Set test name
self.name('csworkflow')
# Append tests
self.append(self._test_cmd, 'Test csworkflow on command line')
self.append(self._test_python, 'Test csworkflow from Python')
# Return
return
# Test csworkflow on command line
def _test_cmd(self):
"""
Test csworkflow on the command line
"""
# Set script name
csworkflow = self._script('csworkflow')
# Remove result file
gammalib.GFilename('wf_crab_results.xml').remove()
# Setup csworkflow command
cmd = csworkflow+' inflow="'+self._workflow+'"'+ \
' logfile="csworkflow_cmd1.log" chatter=1'
# Check if execution was successful
self.test_assert(self._execute(cmd) == 0,
'Check successful execution from command line')
# Check fit result
self._check_fit_result('wf_crab_results.xml')
# Check csworkflow --help
self._check_help(csworkflow)
# Return
return
# Test csworkflow from Python
def _test_python(self):
"""
Test csworkflow from Python
"""
# Remove result file
gammalib.GFilename('wf_crab_results.xml').remove()
# Set-up csworkflow
workflow = cscripts.csworkflow()
workflow['inflow'] = self._workflow
workflow['logfile'] = 'csworkflow_py1.log'
workflow['chatter'] = 2
# Run script
workflow.logFileOpen() # Make sure we get a log file
workflow.run()
# Check fit result
self._check_fit_result('wf_crab_results.xml')
# Remove result file
gammalib.GFilename('wf_crab_results.xml').remove()
# Set-up csworkflow
workflow = cscripts.csworkflow()
workflow['inflow'] = self._workflow
workflow['logfile'] = 'csworkflow_py2.log'
workflow['chatter'] = 3
# Execute script
workflow.execute()
# Check fit result
self._check_fit_result('wf_crab_results.xml')
# Return
return
# Check fit result XML values
def _check_fit_result(self, filename):
"""
Check result file
"""
# Load fit results
models = gammalib.GModels(filename)
# Set reference values
prefactor = 3.63152145731529e-16
index = 2.39100016863397
pre_background = 1.30910556742873
index_background = 0.252909973473968
# Check fit result values
self.test_value(models['Crab'][2].value(),
prefactor, 1.0e-4 * prefactor,
'Check Crab prefactor')
self.test_value(models['Crab'][3].value(),
-index, 1.0e-4 * index,
'Check Crab index')
self.test_value(models['Background'][0].value(),
pre_background, 1.0e-4 * pre_background,
'Check background model prefactor')
self.test_value(models['Background'][1].value(),
-index_background, 1.0e-4 * index_background,
'Check background model index')
# Return
return