test_csworkflow.py
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#! /usr/bin/env python
# ==========================================================================
# This scripts performs unit tests for the csworkflow script.
#
# Copyright (C) 2016 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 os
import gammalib
import cscripts
# ================================ #
# Test class for csworkflow script #
# ================================ #
class Test(gammalib.GPythonTestSuite):
"""
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
gammalib.GPythonTestSuite.__init__(self)
# 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):
# Kluge to set the command (installed version has no README file)
if os.path.isfile('README'):
csworkflow = '../cscripts/csworkflow.py'
else:
csworkflow = 'csworkflow'
# Remove result file
gammalib.GFilename('wf_crab_results.xml').remove()
# Setup csworkflow command
cmd = csworkflow+' inflow="data/workflow.xml"'+ \
' logfile="csworkflow_cmd1.log" chatter=1'
# Execute csworkflow, make sure we catch any exception
try:
rc = os.system(cmd+" >/dev/null 2>&1")
except:
pass
# Check if execution was successful
self.test_assert(rc == 0,
'Successful csworkflow execution on command line')
# Check fit result
self._check_fit_result('wf_crab_results.xml')
# Return
return
# Test csworkflow from Python
def _test_python(self):
# Remove result file
gammalib.GFilename('wf_crab_results.xml').remove()
# Set-up csworkflow
workflow = cscripts.csworkflow()
workflow['inflow'] = 'data/workflow.xml'
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'] = 'data/workflow.xml'
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):
# Load fit results
models = gammalib.GModels(filename)
# Check fit result values
self.test_value(models['Crab'][2].value(),
5.73787e-16, 1.0e-5, 'Crab prefactor')
self.test_value(models['Crab'][3].value(),
-2.47386, 1.0e-5, 'Crab index')
self.test_value(models['CTABackgroundModel'][0].value(),
1.01414, 1.0e-5, 'Background model prefactor')
self.test_value(models['CTABackgroundModel'][1].value(),
0.00242827, 1.0e-5, 'Background model index')
# Return
return