def test_complete_sample(self):
"""
trying to do a pretty complete one
Note: This is more an integration test. Each complex attribute of the
PhysicalProperties dataclass should have its own pytests
"""
p = PhysicalProperties()
p.densities = DensityList([
DensityPoint(density=Density(value=0.8751, unit="kg/m^3",
standard_deviation=1.2,
replicates=3),
ref_temp=Temperature(value=15.0, unit="C")),
DensityPoint(density=Density(value=0.99, unit="kg/m^3",
standard_deviation=1.4,
replicates=5),
ref_temp=Temperature(value=25.0, unit="C"))
])
py_json = p.py_json(sparse=False) # the non-sparse version
for name in ('densities',
'kinematic_viscosities',
'dynamic_viscosities'):
assert name in py_json
# Now test some real stuff:
dens = py_json['densities']
print(type(dens))
assert type(dens) == list
assert dens[0]['density']['value'] == 0.8751
def test_complete_sample(self):
"""
trying to do a pretty complete one
Note: This is more an integration test. Each complex attribute of the
Sample should have its own pytests
"""
s = Sample(metadata=SampleMetaData(
short_name="short", name="a longer name that is more descriptive"))
p = PhysicalProperties()
s.metadata.fraction_evaporated = MassFraction(value=11, unit='%')
s.metadata.boiling_point_range = None
p.densities = DensityList([
DensityPoint(density=Density(value=0.8751,
unit="kg/m^3",
standard_deviation=1.2,
replicates=3),
ref_temp=Temperature(value=15.0, unit="C")),
DensityPoint(density=Density(value=0.99,
unit="kg/m^3",
standard_deviation=1.4,
replicates=5),
ref_temp=Temperature(value=25.0, unit="C"))
])
s.physical_properties = p
py_json = s.py_json(sparse=False) # the non-sparse version
for name in ('CCME', 'ESTS_hydrocarbon_fractions', 'SARA',
'bulk_composition', 'compounds', 'cut_volume',
'distillation_data', 'environmental_behavior',
'extra_data', 'headspace_analysis', 'industry_properties',
'metadata', 'miscellaneous', 'physical_properties'):
assert name in py_json
assert py_json['metadata']['name'] == ('a longer name that is more '
'descriptive')
assert py_json['metadata']['short_name'] == "short"
for name in ('densities', 'kinematic_viscosities',
'dynamic_viscosities'):
assert name in py_json['physical_properties']
# Now test some real stuff:
dens = py_json['physical_properties']['densities']
print(type(dens))
assert type(dens) == list
assert dens[0]['density']['value'] == 0.8751
def test_validate_no_duplicate_values(self):
dp1 = DensityPoint(density=Density(value=900, unit='kg/m^3'),
ref_temp=Temperature(value=0, unit='C'),
)
dp2 = DensityPoint(density=Density(value=900, unit='kg/m^3'),
ref_temp=Temperature(value=15, unit='C'),
)
DL = DensityList((dp1, dp2))
msgs = DL.validate()
print(msgs)
assert len(msgs) == 0
def test_validate_non_numeric_value(self):
dp1 = DensityPoint(density=Density(value=900, unit='kg/m^3'),
ref_temp=Temperature(value=0, unit='C'),
)
dp2 = DensityPoint(density=Density(value="NM", unit='kg/m^3'),
ref_temp=Temperature(value=15, unit='C'),
)
DL = DensityList((dp1, dp2))
msgs = DL.validate()
print(msgs)
assert len(msgs) == 1
assert "E044:" in msgs[0]
def test_validate_bad_temp(self):
dp1 = DensityPoint(density=Density(value=900, unit='kg/m^3'),
ref_temp=Temperature(value=0, unit='K'),
)
dp2 = DensityPoint(density=Density(value=900, unit='kg/m^3'),
ref_temp=Temperature(value=20.0, unit='K'),
)
DL = DensityList((dp1, dp2))
msgs = DL.validate()
print(msgs)
assert len(msgs) == 2
for msg in msgs:
assert "E040:" in msg
assert "Density" in msg
def test_validate_negative_numeric_value(self):
dp1 = DensityPoint(density=Density(value=900, unit='kg/m^3'),
ref_temp=Temperature(value=0, unit='C'),
)
dp2 = DensityPoint(density=Density(value="0.0", unit='kg/m^3'),
ref_temp=Temperature(value=15, unit='C'),
)
dp3 = DensityPoint(density=Density(value="-10.0", unit='kg/m^3'),
ref_temp=Temperature(value=15, unit='C'),
)
DL = DensityList((dp1, dp2, dp3))
msgs = DL.validate()
print(msgs)
assert len(msgs) == 2
assert "E044:" in msgs[0]
assert "0.0" in msgs[0]
assert "E044:" in msgs[1]
assert "-10.0" in msgs[1]
def no_api_with_density():
oil = Oil(oil_id='XXXXXX')
oil.metadata.product_type = "Crude Oil NOS"
print(oil)
# create a sample for fresh oil
s = Sample()
# add some densities
# p = PhysicalProperties()
p = s.physical_properties
p.densities = DensityList([
DensityPoint(density=Density(value=0.8751, unit="g/cm^3"),
ref_temp=Temperature(value=60.0, unit="F")),
DensityPoint(density=Density(value=0.99, unit="g/cm^3"),
ref_temp=Temperature(value=25.0, unit="C"))
])
oil.sub_samples.append(s)
return oil
def make_oil_with_densities(self, densities, temps):
oil = Oil(oil_id="DENSITY_TESTER")
sample = Sample()
sample.metadata.name = "only density"
oil.sub_samples.append(sample)
for d, t in zip(densities, temps):
dp = DensityPoint(meas.Density(d, unit="kg/m^3"),
meas.Temperature(t, unit="K"))
sample.physical_properties.densities.append(dp)
return oil
def test_from_json(self):
json_obj = {'density': {'value': 900.0, 'unit': 'kg/m^3',
'standard_deviation': 1.2, 'replicates': 3},
'ref_temp': {'value': 273.15, 'unit': 'K',
'standard_deviation': 1.2, 'replicates': 3}
}
model = DensityPoint.from_py_json(json_obj)
# the measurement classes will add unit_type, so we add it to more
# easily compare the output
json_obj['density']['unit_type'] = 'density'
json_obj['ref_temp']['unit_type'] = 'temperature'
assert model.py_json() == json_obj
def test_validate_one_value(self):
"""
it shouldn't crash (or give an warning) with one value!
"""
dp1 = DensityPoint(density=Density(value=900, unit='kg/m^3'),
ref_temp=Temperature(value=0, unit='C'),
)
DL = DensityList((dp1,))
msgs = DL.validate()
print(msgs)
assert len(msgs) == 0
def test_API_density_missmatch(minimal_oil):
oil = minimal_oil
minimal_oil.metadata.API = 32.2 # too far from 32.0
density = DensityPoint( # API 32.0 converted
density=Density(value=0.86469, unit='g/cm^3'),
ref_temp=Temperature(value=60, unit='F'),
)
oil.sub_samples[0].physical_properties.densities.append(density)
density_at_60F = physical_properties.Density(oil).at_temp(60, 'F')
API = uc.convert('kg/m^3', 'API', density_at_60F)
print(f"{density_at_60F=}")
print(f"{API=}")
print(f"{minimal_oil.metadata.API=}")
validate(oil)
print(oil.status)
assert snippet_in_oil_status("E043", oil)
def test_API_density_match(minimal_oil):
oil = minimal_oil
minimal_oil.metadata.API = 32.1 # close enough to 32.0
density = DensityPoint(
density=Density(value=0.86469, unit='g/cm^3'),
ref_temp=Temperature(value=60, unit='F'),
)
oil.sub_samples[0].physical_properties.densities.append(density)
density_at_60F = physical_properties.Density(oil).at_temp(60, 'F')
API = uc.convert('kg/m^3', 'API', density_at_60F)
print(density_at_60F)
print(API)
assert math.isclose(API, oil.metadata.API, rel_tol=1e3)
validate(oil)
print(oil.status)
assert snippet_not_in_oil_status("E043", oil)
def test_from_json_empty(self):
model = DensityPoint.from_py_json({})
assert model.density is None
assert model.ref_temp is None
assert model.method is None
def test_init_empty(self):
model = DensityPoint()
assert model.density is None
assert model.ref_temp is None
assert model.method is None