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ExportExperimentLogTest.py
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ExportExperimentLogTest.py
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import unittest
import numpy
from numpy import *
from mantid.kernel import *
from mantid.api import *
import mantid.kernel as kernel
from testhelpers import run_algorithm
from mantid.api import AnalysisDataService
import os
class ExportExperimentLogTest(unittest.TestCase):
def test_exportFileNew(self):
""" Test to export logs without header file
"""
# Generate the matrix workspace with some logs
ws = self.createTestWorkspace()
AnalysisDataService.addOrReplace("TestMatrixWS", ws)
# Test algorithm
alg_test = run_algorithm("ExportExperimentLog",
InputWorkspace = "TestMatrixWS",
OutputFilename = "TestRecord001.txt",
SampleLogNames = ["run_number", "duration", "proton_charge", "proton_charge", "proton_charge"],
SampleLogTitles = ["RUN", "Duration", "ProtonCharge", "MinPCharge", "MeanPCharge"],
SampleLogOperation = [None, None, "sum", "min", "average"],
FileMode = "new")
# Validate
self.assertTrue(alg_test.isExecuted())
# Locate file
outfilename = alg_test.getProperty("OutputFilename").value
try:
print "Output file is %s. " % (outfilename)
ifile = open(outfilename)
lines = ifile.readlines()
ifile.close()
except IOError as err:
print "Unable to open file %s. " % (outfilename)
self.assertTrue(False)
return
# Last line cannot be empty, i.e., before EOF '\n' is not allowed
lastline = lines[-1]
self.assertTrue(len(lastline.strip()) > 0)
# Number of lines
self.assertEquals(len(lines), 2)
# Check line
firstdataline = lines[1]
terms = firstdataline.strip().split("\t")
self.assertEquals(len(terms), 5)
# Get property
pchargelog = ws.getRun().getProperty("proton_charge").value
sumpcharge = numpy.sum(pchargelog)
minpcharge = numpy.min(pchargelog)
avgpcharge = numpy.average(pchargelog)
v2 = float(terms[2])
self.assertAlmostEqual(sumpcharge, v2)
v3 = float(terms[3])
self.assertAlmostEqual(minpcharge, v3)
v4 = float(terms[4])
self.assertAlmostEqual(avgpcharge, v4)
#
# # Remove generated files
os.remove(outfilename)
AnalysisDataService.remove("TestMatrixWS")
return
def test_exportFileFastAppend(self):
""" Test to export logs without header file
"""
# Generate the matrix workspace with some logs
ws = self.createTestWorkspace()
AnalysisDataService.addOrReplace("TestMatrixWS", ws)
# Test algorithm
# create new file
alg_test = run_algorithm("ExportExperimentLog",
InputWorkspace = "TestMatrixWS",
OutputFilename = "TestRecord.txt",
SampleLogNames = ["run_number", "duration", "proton_charge"],
SampleLogTitles = ["RUN", "Duration", "ProtonCharge"],
SampleLogOperation = [None, None, "sum"],
FileMode = "new")
# Fast append
alg_test = run_algorithm("ExportExperimentLog",
InputWorkspace = "TestMatrixWS",
OutputFilename = "TestRecord.txt",
SampleLogNames = ["run_number", "duration", "proton_charge"],
SampleLogOperation = [None, None, "sum"],
FileMode = "fastappend")
# Validate
self.assertTrue(alg_test.isExecuted())
# Locate file
outfilename = alg_test.getProperty("OutputFilename").value
try:
print "Output file is %s. " % (outfilename)
ifile = open(outfilename)
lines = ifile.readlines()
ifile.close()
except IOError as err:
print "Unable to open file %s. " % (outfilename)
self.assertTrue(False)
return
# Last line cannot be empty, i.e., before EOF '\n' is not allowed
lastline = lines[-1]
self.assertTrue(len(lastline.strip()) > 0)
# Number of lines
self.assertEquals(len(lines), 3)
# Check line
firstdataline = lines[1]
terms = firstdataline.strip().split("\t")
self.assertEquals(len(terms), 3)
# Remove generated files
os.remove(outfilename)
AnalysisDataService.remove("TestMatrixWS")
return
def test_exportFileAppend(self):
""" Test to export logs without header file
"""
# Generate the matrix workspace with some logs
ws = self.createTestWorkspace()
AnalysisDataService.addOrReplace("TestMatrixWS", ws)
# Test algorithm
# create new file
alg_test = run_algorithm("ExportExperimentLog",
InputWorkspace = "TestMatrixWS",
OutputFilename = "TestRecord.txt",
SampleLogNames = ["run_number", "duration", "proton_charge"],
SampleLogTitles = ["RUN", "Duration", "ProtonCharge"],
SampleLogOperation = [None, None, "sum"],
FileMode = "new")
# append
alg_test = run_algorithm("ExportExperimentLog",
InputWorkspace = "TestMatrixWS",
OutputFilename = "TestRecord.txt",
SampleLogNames = ["run_number", "duration", "proton_charge"],
SampleLogTitles = ["RUN", "Duration", "ProtonCharge"],
SampleLogOperation = [None, None, "sum"],
FileMode = "fastappend")
# Validate
self.assertTrue(alg_test.isExecuted())
# Locate file
outfilename = alg_test.getProperty("OutputFilename").value
try:
print "Output file is %s. " % (outfilename)
ifile = open(outfilename)
lines = ifile.readlines()
ifile.close()
except IOError as err:
print "Unable to open file %s. " % (outfilename)
self.assertTrue(False)
return
# Last line cannot be empty, i.e., before EOF '\n' is not allowed
lastline = lines[-1]
self.assertTrue(len(lastline.strip()) > 0)
# Number of lines
self.assertEquals(len(lines), 3)
# Check line
firstdataline = lines[1]
terms = firstdataline.strip().split("\t")
self.assertEquals(len(terms), 3)
#
# # Remove generated files
os.remove(outfilename)
AnalysisDataService.remove("TestMatrixWS")
return
def test_exportFileAppend2(self):
""" Test to export file in appending mode
In this case, the original file will be renamed and a new file will
be creatd
"""
import datetime
import time
# Generate the matrix workspace with some logs
ws = self.createTestWorkspace()
AnalysisDataService.addOrReplace("TestMatrixWS", ws)
# Test algorithm
# create new file
alg_test = run_algorithm("ExportExperimentLog",
InputWorkspace = "TestMatrixWS",
OutputFilename = "TestRecord.txt",
SampleLogNames = ["run_number", "duration", "proton_charge"],
SampleLogTitles = ["RUN", "Duration", "ProtonCharge"],
SampleLogOperation = [None, None, "sum"],
FileMode = "new")
# append
alg_test = run_algorithm("ExportExperimentLog",
InputWorkspace = "TestMatrixWS",
OutputFilename = "TestRecord.txt",
SampleLogNames = ["run_number", "duration", "proton_charge", "SensorA"],
SampleLogTitles = ["RUN", "Duration", "ProtonCharge", "SensorA"],
SampleLogOperation = [None, None, "sum", "0"],
FileMode = "append")
# Validate
self.assertTrue(alg_test.isExecuted())
# Locate file
outfilename = alg_test.getProperty("OutputFilename").value
try:
print "Output file is %s. " % (outfilename)
ifile = open(outfilename)
lines = ifile.readlines()
ifile.close()
except IOError as err:
print "Unable to open file %s. " % (outfilename)
self.assertTrue(False)
return
# Last line cannot be empty, i.e., before EOF '\n' is not allowed
lastline = lines[-1]
self.assertTrue(len(lastline.strip()) > 0)
# Number of lines
self.assertEquals(len(lines), 2)
# Check line
firstdataline = lines[1]
terms = firstdataline.strip().split("\t")
self.assertEquals(len(terms), 4)
# Locate the previos file
# Rename old file and reset the file mode
# Rename the old one: split path from file, new name, and rename
fileName, fileExtension = os.path.splitext(outfilename)
now = datetime.datetime.now()
nowstr = time.strftime("%Y_%B_%d_%H_%M")
oldfilename = fileName + "_" + nowstr + fileExtension
print "Saved old file is %s. " % (oldfilename)
self.assertTrue(os.path.exists(oldfilename))
# Remove generated files
os.remove(outfilename)
os.remove(oldfilename)
AnalysisDataService.remove("TestMatrixWS")
return
def test_exportFileNewCSV(self):
""" Test to export logs without header file in csv format
and with a name not endind with .csv
"""
# Generate the matrix workspace with some logs
ws = self.createTestWorkspace()
AnalysisDataService.addOrReplace("TestMatrixWS", ws)
# Test algorithm
alg_test = run_algorithm("ExportExperimentLog",
InputWorkspace = "TestMatrixWS",
OutputFilename = "TestRecord.txt",
SampleLogNames = ["run_number", "duration", "proton_charge"],
SampleLogTitles = ["RUN", "Duration", "ProtonCharge"],
SampleLogOperation = [None, None, "sum"],
FileMode = "new",
FileFormat = "comma (csv)")
# Validate
self.assertTrue(alg_test.isExecuted())
# Locate file
outfilename = alg_test.getProperty("OutputFilename").value.split(".txt")[0] + ".csv"
try:
print "Output file is %s. " % (outfilename)
ifile = open(outfilename)
lines = ifile.readlines()
ifile.close()
except IOError as err:
print "Unable to open file %s. " % (outfilename)
self.assertTrue(False)
return
# Last line cannot be empty, i.e., before EOF '\n' is not allowed
lastline = lines[-1]
self.assertTrue(len(lastline.strip()) > 0)
# Number of lines
self.assertEquals(len(lines), 2)
# Check line
firstdataline = lines[1]
terms = firstdataline.strip().split(",")
self.assertEquals(len(terms), 3)
#
# # Remove generated files
os.remove(outfilename)
AnalysisDataService.remove("TestMatrixWS")
return
def createTestWorkspace(self):
""" Create a workspace for testing against with ideal log values
"""
from mantid.simpleapi import CreateWorkspace
from mantid.simpleapi import AddSampleLog
from time import gmtime, strftime,mktime
import numpy as np
# Create a matrix workspace
x = np.array([1.,2.,3.,4.])
y = np.array([1.,2.,3.])
e = np.sqrt(np.array([1.,2.,3.]))
wksp = CreateWorkspace(DataX=x, DataY=y,DataE=e,NSpec=1,UnitX='TOF')
# Add run_start
tmptime = strftime("%Y-%m-%d %H:%M:%S", gmtime(mktime(gmtime())))
AddSampleLog(Workspace=wksp,LogName='run_start',LogText=str(tmptime))
tsp_a=kernel.FloatTimeSeriesProperty("proton_charge")
tsp_b=kernel.FloatTimeSeriesProperty("SensorA")
for i in arange(25):
tmptime = strftime("%Y-%m-%d %H:%M:%S", gmtime(mktime(gmtime())+i))
tsp_a.addValue(tmptime, 1.0*i*i)
tsp_b.addValue(tmptime, 1.234*(i+1))
wksp.mutableRun()['run_number']="23456"
wksp.mutableRun()['duration']=342.3
wksp.mutableRun()['SensorA'] = tsp_b
wksp.mutableRun()['proton_charge']=tsp_a
return wksp
if __name__ == '__main__':
unittest.main()