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import logging
import os
import shutil
import tempfile
import unittest
import numpy
import pyfits
import cpl
class CplTestCase(unittest.TestCase):
def setUp(self):
cpl.Recipe.path = os.path.dirname(os.path.abspath(__file__))
class RecipeTestCase(CplTestCase):
def setUp(self):
CplTestCase.setUp(self)
self.temp_dir = tempfile.mkdtemp()
self.recipe = cpl.Recipe('rrrecipe')
self.recipe.temp_dir = self.temp_dir
self.recipe.tag = 'RRRECIPE_DOCATG_RAW'
self.image_size = (16, 16)
self.raw_frame = pyfits.HDUList([
pyfits.PrimaryHDU(numpy.random.random_integers(0, 65000,
self.image_size))])
self.raw_frame[0].header.update('HIERARCH ESO DET DIT', 0.0)
self.raw_frame[0].header.update('HIERARCH ESO PRO CATG',
'RRRECIPE_DOCATG_RAW')
def tearDown(self):
shutil.rmtree(self.temp_dir)
class RecipeStatic(CplTestCase):
def test_list(self):
'''List available recipes'''
l = cpl.Recipe.list()
self.assertTrue(isinstance(l, list))
self.assertEqual(len(l), 1)
self.assertEqual(l[0], ('rrrecipe', ['0.0.1']))
def test_create_recipe(self):
'''Create a recipe specified by its name'''
recipe = cpl.Recipe('rrrecipe')
self.assertTrue(isinstance(recipe, cpl.Recipe))
def test_create_recipe_version(self):
'''Create a recipe specified by its name and version'''
recipe = cpl.Recipe('rrrecipe', version = '0.0.1')
self.assertTrue(isinstance(recipe, cpl.Recipe))
def test_create_recipe_wrong_name(self):
'''Create a recipe specified by a wrong name'''
self.assertRaises(IOError, cpl.Recipe, 'wrongname')
def test_create_recipe_wrong_version(self):
'''Create a recipe specified by a wrong version'''
self.assertRaises(IOError, cpl.Recipe, 'rrrecipe', version='0.0.10')
def test_create_recipe_filename(self):
'''Create a recipe specified by a the name and the filename'''
recipe = cpl.Recipe('rrrecipe', filename = os.path.join(
os.path.dirname(os.path.abspath(__file__)),
'iiinstrumentp', 'recipes', '.libs', 'rrrecipe.so'))
self.assertTrue(isinstance(recipe, cpl.Recipe))
def test_create_recipe_wrong_filename(self):
'''Create a recipe specified by a wrong filename'''
self.assertRaises(IOError, cpl.Recipe, 'rrrecipe',
filename = os.path.join(
os.path.dirname(os.path.abspath(__file__)),
'iiinstrumentp', 'recipes', '.libs', 'rrrecipe.o'))
class RecipeCommon(RecipeTestCase):
def test_name(self):
'''Recipe name'''
self.assertEqual(self.recipe.__name__, 'rrrecipe')
def test_author(self):
'''Author attribute'''
self.assertEqual(self.recipe.__author__, 'Firstname Lastname')
def test_email(self):
'''Author attribute'''
self.assertEqual(self.recipe.__email__, 'flastname@eso.org')
def test_description(self):
'''Synopsis and description'''
self.assertTrue(isinstance(self.recipe.description[0], str))
self.assertTrue(len(self.recipe.description[0]) > 0)
self.assertTrue(isinstance(self.recipe.description[1], str))
self.assertTrue(len(self.recipe.description[1]) > 0)
def test_copyright(self):
'''Copyright'''
self.assertTrue(isinstance(self.recipe.__copyright__, str))
self.assertTrue(len(self.recipe.__copyright__) > 0)
class RecipeParams(RecipeTestCase):
def test_str(self):
'''String parameter'''
self.assertTrue(isinstance(self.recipe.param.stropt, cpl.Parameter))
self.assertEqual(self.recipe.param.stropt.name, 'stropt')
self.assertEqual(self.recipe.param.stropt.context,
'iiinstrument.rrrecipe')
self.assertEqual(self.recipe.param.stropt.default, None)
self.assertEqual(self.recipe.param.stropt.value, None)
self.assertEqual(self.recipe.param.stropt.range, None)
self.assertEqual(self.recipe.param.stropt.sequence, None)
self.recipe.param.stropt = 'more'
self.assertEqual(self.recipe.param.stropt.value, 'more')
del self.recipe.param.stropt
self.assertEqual(self.recipe.param.stropt.value, None)
def test_bool(self):
'''Boolean parameter'''
self.assertTrue(isinstance(self.recipe.param.boolopt, cpl.Parameter))
self.assertEqual(self.recipe.param.boolopt.name, 'boolopt')
self.assertEqual(self.recipe.param.boolopt.default, True)
self.assertEqual(self.recipe.param.boolopt.value, None)
self.recipe.param.boolopt = False
self.assertEqual(self.recipe.param.boolopt.value, False)
del self.recipe.param.boolopt
self.assertEqual(self.recipe.param.boolopt.value, None)
def test_float(self):
'''Float parameter'''
self.assertTrue(isinstance(self.recipe.param.floatopt, cpl.Parameter))
self.assertEqual(self.recipe.param.floatopt.name, 'floatopt')
self.assertEqual(self.recipe.param.floatopt.default, 0.1)
self.assertEqual(self.recipe.param.floatopt.value, None)
self.recipe.param.floatopt = 1.1
self.assertEqual(self.recipe.param.floatopt.value, 1.1)
del self.recipe.param.floatopt
self.assertEqual(self.recipe.param.floatopt.value, None)
def test_int(self):
'''Integer parameter'''
self.assertTrue(isinstance(self.recipe.param.intopt, cpl.Parameter))
self.assertEqual(self.recipe.param.intopt.name, 'intopt')
self.assertEqual(self.recipe.param.intopt.default, 2)
self.assertEqual(self.recipe.param.intopt.value, None)
self.recipe.param.intopt = -1
self.assertEqual(self.recipe.param.intopt.value, -1)
del self.recipe.param.intopt
self.assertEqual(self.recipe.param.intopt.value, None)
def test_enum(self):
'''Enumeration (string) parameter'''
self.assertTrue(isinstance(self.recipe.param.enumopt, cpl.Parameter))
self.assertEqual(self.recipe.param.enumopt.name, 'enumopt')
self.assertEqual(self.recipe.param.enumopt.default, 'first')
self.assertEqual(self.recipe.param.enumopt.value, None)
self.recipe.param.enumopt = 'second'
self.assertEqual(self.recipe.param.enumopt.value, 'second')
del self.recipe.param.enumopt
self.assertEqual(self.recipe.param.enumopt.value, None)
def setenumoptinvalid():
self.recipe.param.enumopt = 'invalid'
self.assertRaises(ValueError, setenumoptinvalid)
def test_range(self):
'''Range (float) parameter'''
self.assertTrue(isinstance(self.recipe.param.rangeopt, cpl.Parameter))
self.assertEqual(self.recipe.param.rangeopt.name, 'rangeopt')
self.assertEqual(self.recipe.param.rangeopt.default, 0.1)
self.assertEqual(self.recipe.param.rangeopt.value, None)
self.recipe.param.rangeopt = 0.4
self.assertEqual(self.recipe.param.rangeopt.value, 0.4)
del self.recipe.param.rangeopt
self.assertEqual(self.recipe.param.rangeopt.value, None)
def setrangeoptinvalid():
self.recipe.param.rangeopt = 1.5
self.assertRaises(ValueError, setrangeoptinvalid)
def test_as_dict(self):
'''Use the parameter list as a dictionary'''
self.assertEqual(self.recipe.param.boolopt,
self.recipe.param['boolopt'])
self.assertEqual(self.recipe.param.boolopt,
self.recipe.param['iiinstrument.rrrecipe.bool_option'])
def test_dotted_par(self):
'''Use a parameter that has a dot in its alias'''
self.assertEqual(self.recipe.param.dot_opt,
self.recipe.param['dot.opt'])
self.assertEqual(self.recipe.param.dot_opt,
self.recipe.param['iiinstrument.rrrecipe.dotted.opt'])
def test_iterate(self):
'''Iteration over all parameters'''
for p in self.recipe.param:
self.assertTrue(isinstance(p, cpl.Parameter))
pars = [p.name for p in self.recipe.param]
self.assertEqual(len(pars), len(self.recipe.param))
self.assertTrue('stropt' in pars)
self.assertTrue('boolopt' in pars)
def test_set_dict(self):
'''Assign a dictionary to the parameter list'''
self.recipe.param = { 'stropt':'dmore', 'boolopt':True }
self.assertEqual(self.recipe.param.boolopt.value, True)
self.assertEqual(self.recipe.param.stropt.value, 'dmore')
# Check that we can assign a dictionary with the short names and string
self.recipe.param = { 'stropt':'dmore', 'boolopt':'False' }
self.assertEqual(self.recipe.param.boolopt.value, False)
# Check that we can assign a dictionary with the long names
self.recipe.param = { 'iiinstrument.rrrecipe.string_option':'dless',
'iiinstrument.rrrecipe.float_option':1.5,
'iiinstrument.rrrecipe.bool_option':True }
self.assertEqual(self.recipe.param.stropt.value, 'dless')
self.assertEqual(self.recipe.param.floatopt.value, 1.5)
self.assertEqual(self.recipe.param.boolopt.value, True)
def test_delete(self):
'''Delete all parameter values to reset to default'''
self.recipe.param.boolopt.value = True
self.recipe.param.stropt.value = 'something'
del self.recipe.param
self.assertEqual(self.recipe.param.stropt.value, None)
self.assertEqual(self.recipe.param.boolopt.value, None)
def test_dir(self):
'''[TAB] completition.
This requires to have the __dir__() method working.
'''
self.assertEqual(self.recipe.param.__dir__(),
[ p.name.replace('.','_') for p in self.recipe.param ])
class RecipeCalib(RecipeTestCase):
def test_set(self):
'''Set a calibration frame'''
self.recipe.calib.FLAT = 'flat.fits'
self.assertEqual(self.recipe.calib.FLAT.frames, 'flat.fits')
def test_set_dict(self):
'''Assign a dictionary to the calibration frame list'''
self.recipe.calib = { 'FLAT':'flat2.fits' }
self.assertEqual(self.recipe.calib.FLAT.frames, 'flat2.fits')
def test_del(self):
'''Delete a calibration frame set'''
self.recipe.calib.FLAT = 'flat.fits'
del self.recipe.calib.FLAT
f = self.recipe.calib.FLAT.frames
self.assertEqual(f, None)
def test_del_all(self):
'''Delete all calibration frame sets'''
self.recipe.calib.FLAT = 'flat.fits'
del self.recipe.calib
try:
f = self.recipe.calib.FLAT.frames
except:
f = None
self.assertEqual(f, None)
def test_dir(self):
'''[TAB] completition.
This requires to have the __dir__() method working.
'''
self.assertEqual(self.recipe.calib.__dir__(),
[ f.tag for f in self.recipe.calib ])
class RecipeExec(RecipeTestCase):
def setUp(self):
RecipeTestCase.setUp(self)
self.flat_frame = pyfits.HDUList([
pyfits.PrimaryHDU(numpy.random.random_integers(0, 65000,
self.image_size))])
def test_frames_keyword(self):
'''Raw and calibration frames specified as keywords'''
self.recipe.tag = None
res = self.recipe(raw_RRRECIPE_DOCATG_RAW = self.raw_frame,
calib_FLAT = self.flat_frame)
self.assertTrue(isinstance(res, cpl.Result))
self.assertTrue(isinstance(res.THE_PRO_CATG_VALUE, pyfits.HDUList))
self.assertTrue(abs(self.raw_frame[0].data
- res.THE_PRO_CATG_VALUE[0].data).max() == 0)
def test_frames_keyword_dict(self):
'''Raw and calibration frames specified as keyword dict'''
self.recipe.tag = None
res = self.recipe(raw_RRRECIPE_DOCATG_RAW = self.raw_frame,
calib = { 'FLAT':self.flat_frame })
self.assertTrue(isinstance(res, cpl.Result))
self.assertTrue(isinstance(res.THE_PRO_CATG_VALUE, pyfits.HDUList))
self.assertTrue(abs(self.raw_frame[0].data
- res.THE_PRO_CATG_VALUE[0].data).max() == 0)
def test_frames_keyword_calib(self):
'''Raw frame specified as keyword, calibration frame set in recipe'''
self.recipe.tag = None
self.recipe.calib.FLAT = self.flat_frame
res = self.recipe(raw_RRRECIPE_DOCATG_RAW = self.raw_frame)
self.assertTrue(isinstance(res, cpl.Result))
self.assertTrue(isinstance(res.THE_PRO_CATG_VALUE, pyfits.HDUList))
def test_frames_tag_keyword(self):
'''The 'tag' parameter'''
self.recipe.tag = None
self.recipe.calib.FLAT = self.flat_frame
res = self.recipe(self.raw_frame, tag = 'RRRECIPE_DOCATG_RAW')
self.assertTrue(isinstance(res, cpl.Result))
self.assertTrue(isinstance(res.THE_PRO_CATG_VALUE, pyfits.HDUList))
def test_frames_tag_attribute(self):
'''The 'tag' attribute'''
self.recipe.tag = 'RRRECIPE_DOCATG_RAW'
res = self.recipe(self.raw_frame)
self.assertTrue(isinstance(res, cpl.Result))
self.assertTrue(isinstance(res.THE_PRO_CATG_VALUE, pyfits.HDUList))
def test_frames_one_element_input_list(self):
'''Use 1-element list as input'''
# --> we want a list back'''
res = self.recipe([self.raw_frame])
self.assertTrue(isinstance(res, cpl.Result))
self.assertFalse(isinstance(res.THE_PRO_CATG_VALUE, pyfits.HDUList))
self.assertTrue(isinstance(res.THE_PRO_CATG_VALUE, list))
def test_frames_many_element_input_list(self):
'''Use multiple files as input'''
# --> since we only get back one image, it is
# assumed to be a 'master', and we get back a plain frame'''
res = self.recipe([self.raw_frame, self.raw_frame])
self.assertTrue(isinstance(res, cpl.Result))
self.assertTrue(isinstance(res.THE_PRO_CATG_VALUE, pyfits.HDUList))
def test_output_dir_attribute(self):
'''Write an output dir specified as attribute'''
output_dir = os.path.join(self.temp_dir, 'out')
self.recipe.output_dir = output_dir
res = self.recipe(self.raw_frame)
self.assertTrue(isinstance(res, cpl.Result))
self.assertTrue(isinstance(res.THE_PRO_CATG_VALUE, str))
self.assertEqual(os.path.basename(res.THE_PRO_CATG_VALUE),
'rrrecipe.fits')
self.assertTrue(os.path.isdir(output_dir))
self.assertTrue(os.path.isfile(res.THE_PRO_CATG_VALUE))
hdu = pyfits.open(res.THE_PRO_CATG_VALUE)
self.assertTrue(isinstance(hdu, pyfits.HDUList))
def test_output_dir_keyword(self):
'''Write an output dir specified as call keyword arg'''
output_dir = os.path.join(self.temp_dir, 'out')
res = self.recipe(self.raw_frame, output_dir = output_dir)
self.recipe.output_dir = output_dir
res = self.recipe(self.raw_frame)
self.assertTrue(os.path.isdir(output_dir))
self.assertTrue(isinstance(res, cpl.Result))
self.assertTrue(isinstance(res.THE_PRO_CATG_VALUE, str))
self.assertEqual(os.path.basename(res.THE_PRO_CATG_VALUE),
'rrrecipe.fits')
self.assertTrue(os.path.isfile(res.THE_PRO_CATG_VALUE))
hdu = pyfits.open(res.THE_PRO_CATG_VALUE)
self.assertTrue(isinstance(hdu, pyfits.HDUList))
def test_param_keyword(self):
'''Parameter handling via keyword arg'''
res = self.recipe(self.raw_frame,
param_stropt = 'more').THE_PRO_CATG_VALUE
self.assertEqual(res[0].header['HIERARCH ESO QC STROPT'], 'more')
def test_param_keyword_dict(self):
'''Parameter handling via keyword dict'''
res = self.recipe(self.raw_frame,
param = { 'stropt':'more' }).THE_PRO_CATG_VALUE
self.assertEqual(res[0].header['HIERARCH ESO QC STROPT'], 'more')
def test_param_setting(self):
'''Parameter handling via recipe setting'''
self.recipe.param.stropt = 'more'
res = self.recipe(self.raw_frame).THE_PRO_CATG_VALUE
self.assertEqual(res[0].header['HIERARCH ESO QC STROPT'], 'more')
def test_param_delete(self):
'''Delete a parameter in a second run after setting it'''
self.recipe.param.intopt = 123
res = self.recipe(self.raw_frame).THE_PRO_CATG_VALUE
del self.recipe.param.intopt
res = self.recipe(self.raw_frame).THE_PRO_CATG_VALUE
self.assertEqual(res[0].header['HIERARCH ESO QC INTOPT'], 2)
def test_param_overwrite(self):
'''Overwrite the recipe setting param via via keyword arg'''
self.recipe.param.stropt = 'more'
res = self.recipe(self.raw_frame, param_stropt = 'less').THE_PRO_CATG_VALUE
self.assertEqual(res[0].header['HIERARCH ESO QC STROPT'], 'less')
def test_param_types(self):
'''Parameter types'''
self.recipe.param.stropt = 'more'
self.recipe.param.boolopt = False
self.recipe.param.intopt = 123
self.recipe.param.floatopt = -0.25
self.recipe.param.enumopt = 'third'
self.recipe.param.rangeopt = 0.125
res = self.recipe(self.raw_frame).THE_PRO_CATG_VALUE
self.assertEqual(res[0].header['HIERARCH ESO QC STROPT'], 'more')
self.assertEqual(res[0].header['HIERARCH ESO QC BOOLOPT'], False)
self.assertEqual(res[0].header['HIERARCH ESO QC INTOPT'], 123)
self.assertEqual(res[0].header['HIERARCH ESO QC FLOATOPT'], -0.25)
self.assertEqual(res[0].header['HIERARCH ESO QC ENUMOPT'], 'third')
self.assertEqual(res[0].header['HIERARCH ESO QC RANGEOPT'], 0.125)
def test_error(self):
'''Error handling'''
self.recipe.tag = 'some_unknown_tag'
self.assertRaises(cpl.CplError, self.recipe, self.raw_frame)
def _test_corrupted(self):
'''Handling of recipe crashes because of corrupted memory'''
self.recipe.param.crashing = 'free'
self.assertRaises(cpl.RecipeCrash, self.recipe, self.raw_frame)
def _test_segfault(self):
'''Handling of recipe crashes because of segmentation fault'''
self.recipe.param.crashing = 'segfault'
self.assertRaises(cpl.RecipeCrash, self.recipe, self.raw_frame)
def _test_cleanup_after_crash(self):
'''Test that a second run after a crash will succeed'''
output_dir = os.path.join(self.temp_dir, 'out')
self.recipe.output_dir = output_dir
self.recipe.param.crashing = 'segfault'
self.assertRaises(cpl.RecipeCrash, self.recipe, self.raw_frame)
del self.recipe.param.crashing
self.recipe(self.raw_frame)
def test_parallel(self):
'''Parallel execution'''
results = list()
for i in range(20):
# mark each frame so that we can see their order
self.raw_frame[0].header.update('HIERARCH ESO RAW1 NR', i)
results.append(self.recipe(self.raw_frame, param_intopt = i,
threaded = True))
for i, res in enumerate(results):
# check if we got the correct type
self.assertTrue(isinstance(res.THE_PRO_CATG_VALUE, pyfits.HDUList))
# check if we have the correct parameter
self.assertEqual(res.THE_PRO_CATG_VALUE[0].header[
'HIERARCH ESO QC INTOPT'], i)
# check if we have the correct input frame
self.assertEqual(res.THE_PRO_CATG_VALUE[0].header[
'HIERARCH ESO RAW1 NR'], i)
# check that the data were moved correctly
self.assertTrue(abs(self.raw_frame[0].data
- res.THE_PRO_CATG_VALUE[0].data).max() < 1e-6)
def test_error_parallel(self):
'''Error handling in parallel execution'''
self.recipe.tag = 'some_unknown_tag'
res = self.recipe(self.raw_frame, threaded = True)
def get(x):
return x.THE_PRO_CATG_VALUE
self.assertRaises(cpl.CplError, get, res)
def test_md5sum_result(self):
'''MD5sum of the result file'''
self.recipe.tag = 'RRRECIPE_DOCATG_RAW'
res = self.recipe(self.raw_frame)
key = 'DATAMD5'
md5sum = res.THE_PRO_CATG_VALUE[0].header[key]
self.assertNotEqual(md5sum, 'Not computed')
self.assertEqual(len(md5sum),
len('9d123996fa9a7bda315d07e063043454'))
def test_md5sum_calib(self):
'''Created MD5sum for a HDUList calib file'''
self.recipe.tag = 'RRRECIPE_DOCATG_RAW'
self.recipe.calib.FLAT = self.flat_frame
res = self.recipe(self.raw_frame)
key = 'HIERARCH ESO PRO REC1 CAL1 DATAMD5'
md5sum = res.THE_PRO_CATG_VALUE[0].header[key]
self.assertNotEqual(md5sum, 'Not computed')
self.assertEqual(len(md5sum),
len('9d123996fa9a7bda315d07e063043454'))
class RecipeRes(RecipeTestCase):
def setUp(self):
RecipeTestCase.setUp(self)
self.res = self.recipe(self.raw_frame)
def test_attribute(self):
'''The result as an attribute'''
self.assertTrue(isinstance(self.res.THE_PRO_CATG_VALUE,
pyfits.HDUList))
def test_dict(self):
'''The result as an attribute'''
self.assertTrue(isinstance(self.res['THE_PRO_CATG_VALUE'],
pyfits.HDUList))
def test_len(self):
'''Length of the result'''
self.assertEqual(len(self.res), 1)
def test_iter(self):
'''Iterate over the result'''
for tag, hdu in self.res:
self.assertEqual(tag, 'THE_PRO_CATG_VALUE')
self.assertTrue(isinstance(hdu, pyfits.HDUList))
class RecipeEsorex(CplTestCase):
def tearDown(self):
CplTestCase.tearDown(self)
cpl.msg.level = cpl.msg.OFF
def test_read_sof(self):
'''Read a SOF file'''
soffile = 'geometry_table1.fits GEOMETRY_TABLE\n' \
'geometry_table2.fits GEOMETRY_TABLE\n' \
'MASTER_BIAS-01.fits MASTER_BIAS\n' \
'MASTER_FLAT-01.fits MASTER_FLAT\n' \
'#sky_fullmoon_1.fits SKY\n' \
'sky_fullmoon_2.fits SKY\n'
self.assertEqual(cpl.esorex.load_sof(soffile),
{ 'GEOMETRY_TABLE': ['geometry_table1.fits',
'geometry_table2.fits' ],
'MASTER_BIAS': 'MASTER_BIAS-01.fits',
'MASTER_FLAT': 'MASTER_FLAT-01.fits',
'SKY': 'sky_fullmoon_2.fits' })
def test_read_rc(self):
'''Read an EsoRec .rc file'''
rcfile = '# environment variable lambda_low.\n' \
'muse.muse_sky.lambda_low=4.65e+03\n' \
'muse.muse_sky.lambda_high=9.3e+03\n'
self.assertEqual(cpl.esorex.load_rc(rcfile),
{ 'muse.muse_sky.lambda_low': '4.65e+03',
'muse.muse_sky.lambda_high': '9.3e+03'})
def test_esorex_init(self):
'''Init CPL from an esorex.rc file'''
rcfile = 'esorex.caller.recipe-dir=/some/dir\n' \
'esorex.caller.msg-level=debug'
cpl.esorex.init(rcfile)
self.assertEqual(cpl.msg.level, cpl.msg.DEBUG)
self.assertEqual(cpl.Recipe.path, ['/some/dir'])
class RecipeLog(RecipeTestCase):
def setUp(self):
RecipeTestCase.setUp(self)
self.handler = RecipeLog.THandler()
logging.getLogger('cpl.rrrecipe').addHandler(self.handler)
self.other_handler = RecipeLog.THandler()
logging.getLogger('othername').addHandler(self.other_handler)
def tearDown(self):
RecipeTestCase.tearDown(self)
logging.getLogger('cpl.rrrecipe').removeHandler(self.handler)
logging.getLogger('othername').removeHandler(self.other_handler)
class THandler(logging.Handler):
def __init__(self):
logging.Handler.__init__(self)
self.logs = list()
def emit(self, record):
self.logs.append(record)
def clear(self):
self.logs = list()
def test_logging_DEBUG(self):
'''Injection of CPL messages into the python logging system'''
logging.getLogger().setLevel(logging.DEBUG)
self.recipe(self.raw_frame)
# check that the logs are not empty
self.assertNotEqual(len(self.handler.logs), 0)
funcnames = set()
lognames = set()
for r in self.handler.logs:
# Check that we saved the right class
self.assertTrue(isinstance(r, logging.LogRecord))
# Check that a message was provided
self.assertNotEqual(r.msg, None)
# Check that a function name was provided
self.assertNotEqual(r.funcName, None)
funcnames.add(r.funcName)
lognames.add(r.name)
# Check that we had at least one expected entry
self.assertTrue('cpl_dfs_product_save' in funcnames)
self.assertTrue('cpl.rrrecipe.cpl_dfs_product_save' in lognames)
def test_logging_INFO(self):
'''Filtering INFO messages'''
self.handler.clear()
logging.getLogger('cpl.rrrecipe').setLevel(logging.INFO)
self.recipe(self.raw_frame)
# check that the logs are not empty
self.assertNotEqual(len(self.handler.logs), 0)
def test_logging_WARN(self):
'''Filtering WARN messages'''
self.handler.clear()
logging.getLogger('cpl.rrrecipe').setLevel(logging.WARN)
self.recipe(self.raw_frame)
# check that the logs are not empty
self.assertNotEqual(len(self.handler.logs), 0)
def test_logging_ERROR(self):
'''Filtering of error messages'''
# There is no error msg written by the recipe, so it should be empty.
self.handler.clear()
logging.getLogger('cpl.rrrecipe').setLevel(logging.ERROR)
self.recipe(self.raw_frame)
self.assertEqual(len(self.handler.logs), 0)
def test_logging_common(self):
'''Log name specification on recipe call'''
self.handler.clear()
self.other_handler.clear()
self.recipe(self.raw_frame, logname = 'othername')
self.assertNotEqual(len(self.other_handler.logs), 0)
def test_result(self):
'''"log" attribute of the result object'''
res = self.recipe(self.raw_frame)
# Check that we get a not-empty list back
self.assertTrue(isinstance(res.log, list))
self.assertNotEqual(len(res.log), 0)
self.assertTrue(isinstance(res.log[0], logging.LogRecord))
# Check that we can read debug messages
self.assertNotEqual(len(res.log.debug), 0)
self.assertTrue(isinstance(res.log.debug[0], str))
# Check that we can read info messages
self.assertNotEqual(len(res.log.info), 0)
self.assertTrue(isinstance(res.log.info[0], str))
# Check that we can read warning messages
self.assertNotEqual(len(res.log.warning), 0)
self.assertTrue(isinstance(res.log.warning[0], str))
# Check that there were no error messages
self.assertEqual(len(res.log.error), 0)
def test_error(self):
'''"log" attribute of the CplError object'''
try:
self.recipe('test.fits')
except cpl.CplError as res:
pass
# Check that we get a not-empty list back
self.assertTrue(isinstance(res.log, list))
self.assertNotEqual(len(res.log), 0)
self.assertTrue(isinstance(res.log[0], logging.LogRecord))
# Check that we can read debug messages
self.assertNotEqual(len(res.log.debug), 0)
self.assertTrue(isinstance(res.log.debug[0], str))
# Check that we can read info messages
self.assertNotEqual(len(res.log.info), 0)
self.assertTrue(isinstance(res.log.info[0], str))
# Check that we can read warning messages
self.assertNotEqual(len(res.log.warning), 0)
self.assertTrue(isinstance(res.log.warning[0], str))
# Check that we can read error messages
self.assertNotEqual(len(res.log.error), 0)
self.assertTrue(isinstance(res.log.error[0], str))
class ProcessingInfo(RecipeTestCase):
def setUp(self):
RecipeTestCase.setUp(self)
'''Parameter storage in the result'''
self.recipe.param.stropt = 'more'
self.recipe.param.boolopt = False
self.recipe.param.intopt = 123
self.recipe.param.floatopt = -0.25
self.recipe.param.enumopt = 'third'
self.recipe.param.rangeopt = 0.125
self.recipe.calib.FLAT = pyfits.HDUList([
pyfits.PrimaryHDU(numpy.random.random_integers(0, 65000,
self.image_size))])
self.res = self.recipe(self.raw_frame).THE_PRO_CATG_VALUE
self.pinfo = cpl.dfs.ProcessingInfo(self.res)
def test_param(self):
'''Parameter information'''
self.assertEqual(len(self.pinfo.param), len(self.recipe.param))
for p in self.recipe.param:
self.assertEqual(self.pinfo.param[p.name],
p.value if p.value is not None else p.default)
def test_calib(self):
'''Calibration frame information'''
self.assertEqual(len(self.pinfo.calib), 1)
self.assertEqual(self.pinfo.calib['FLAT'][-5:], '.fits')
def test_tag(self):
'''Input tag information'''
self.assertEqual(self.pinfo.tag, self.recipe.tag)
def test_raw(self):
'''Raw file information'''
self.assertEqual(self.pinfo.raw[-5:], '.fits')
def test_name(self):
'''Recipe and pipeline name information'''
self.assertEqual(self.pinfo.name, self.recipe.__name__)
self.assertEqual(self.pinfo.pipeline, 'iiinstrument')
def test_version(self):
'''Version information'''
self.assertEqual(self.pinfo.version[0], self.recipe.version[0])
self.assertEqual(self.pinfo.cpl_version, 'cpl-%s' % cpl.lib_version)
def test_md5(self):
'''MD5 checksums'''
md5sum = self.res[0].header.get('DATAMD5')
self.assertEqual(md5sum, self.pinfo.md5sum)
md5sum = self.res[0].header.get('HIERARCH ESO PRO REC1 CAL1 DATAMD5')
self.assertEqual(md5sum, self.pinfo.md5sums[self.pinfo.calib['FLAT']])
if __name__ == '__main__':
unittest.main()
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