def test_str_01(self):
"""Test __str__ method with minimum values."""
# None values
serie = obshydro.Serie(strict=False)
self.assertTrue(serie.__str__().rfind('Serie') > -1)
self.assertTrue(serie.__str__().rfind('Statut') > -1)
self.assertTrue(serie.__str__().rfind('Observations') > -1)
# a junk entite
serie = obshydro.Serie(entite='station 33', strict=False)
self.assertTrue(serie.__str__().rfind('station 33') > -1)
def _serie_from_element(element):
"""Return a obshydro.Serie from a <Serie> element."""
if element is not None:
# entite can be a Sitehydro, a Stationhydro or a Capteur
entite = None
if element.find('CdSiteHydro') is not None:
entite = _sitehydro.Sitehydro(
code=_value(element, 'CdSiteHydro')
)
elif element.find('CdStationHydro') is not None:
entite = _sitehydro.Stationhydro(
code=_value(element, 'CdStationHydro')
)
elif element.find('CdCapteur') is not None:
entite = _sitehydro.Capteur(
code=_value(element, 'CdCapteur')
)
# make the Serie
return _obshydro.Serie(
entite=entite,
grandeur=_value(element, 'GrdSerie'),
statut=_value(element, 'StatutSerie'),
observations=_observations_from_element(element.find('ObssHydro'))
)
def test_fuzzy_mode_01(self):
"""Fuzzy mode test."""
s = 4
g = 'RR'
t = 123
o = [10, 13, 25, 8]
serie = obshydro.Serie(entite=s,
grandeur=g,
statut=t,
observations=o,
strict=False)
self.assertEqual((serie.entite, serie.grandeur, serie.statut,
serie.observations, serie._strict),
(s, g, t, o, False))
serie = obshydro.Serie(strict=False)
self.assertEqual((serie.entite, serie.grandeur, serie.statut,
serie.observations, serie._strict),
(None, None, 0, None, False))
def test_str_02(self):
"""Test __str__ method with a small Observations."""
s = sitehydro.Stationhydro(code='A044581001')
o = obshydro.Observations(obshydro.Observation('2012-10-03 06:00', 33),
obshydro.Observation('2012-10-03 08:00', 42))
serie = obshydro.Serie(entite=s, grandeur='Q', observations=o)
self.assertTrue(serie.__str__().rfind('Serie') > -1)
self.assertTrue(serie.__str__().rfind('Statut') > -1)
self.assertTrue(serie.__str__().rfind('Observations') > -1)
def test_base_02(self):
"""Serie on a station with no statut."""
s = sitehydro.Stationhydro(code='A044581001')
g = 'Q'
o = obshydro.Observations(obshydro.Observation('2012-10-03 06:00', 33),
obshydro.Observation('2012-10-03 08:00', 42))
serie = obshydro.Serie(entite=s, grandeur=g, observations=o)
self.assertEqual((serie.entite, serie.grandeur, serie.statut,
serie.observations, serie._strict),
(s, g, 0, o, True))
def test_error_01(self):
"""Entite error."""
s = sitehydro.Stationhydro(code='A044581001', strict=False)
o = obshydro.Observations(obshydro.Observation('2012-10-03 06:00', 33))
obshydro.Serie(**{'entite': s, 'grandeur': 'H', 'observations': o})
self.assertRaises(
TypeError, obshydro.Serie, **{
'entite': 'X',
'grandeur': 'H',
'observations': o
})
def test_str_03(self):
"""Test __str__ method with a big Observations."""
s = sitehydro.Stationhydro(code='A044581001', libelle='Toulouse')
o = obshydro.Observations(*[
obshydro.Observation('20%i-01-01 00:00' % x, x)
for x in xrange(10, 50)
])
serie = obshydro.Serie(entite=s, grandeur='H', observations=o)
self.assertTrue(serie.__str__().rfind('Serie') > -1)
self.assertTrue(serie.__str__().rfind('Statut') > -1)
self.assertTrue(serie.__str__().rfind('Observations') > -1)
def test_error_04(self):
"""Observations error."""
s = sitehydro.Stationhydro(code='A044581001', strict=False)
obshydro.Serie(**{
'entite': s,
'grandeur': 'H',
'observations': 12,
'strict': False
})
self.assertRaises(
TypeError, obshydro.Serie, **{
'entite': s,
'grandeur': 'H',
'observations': 12,
'strict': True
})
def test_base_01(self):
"""Serie on a site."""
s = sitehydro.Sitehydro(code='A0445810',
libelle='Le Rhône à Marseille')
g = 'Q'
t = 16
o = obshydro.Observations(obshydro.Observation('2012-10-03 06:00', 33),
obshydro.Observation('2012-10-03 07:00', 37),
obshydro.Observation('2012-10-03 08:00', 42))
i = True
serie = obshydro.Serie(entite=s,
grandeur=g,
statut=t,
observations=o,
strict=i)
self.assertEqual((serie.entite, serie.grandeur, serie.statut,
serie.observations, serie._strict), (s, g, t, o, i))
