def test_custom_char_line_import(self):
# we need to write some data to the path first, using defaults
data_path = resource_filename('tespy.data', 'char_lines.json')
with open(data_path) as f:
raw_data = json.loads(f.read())
data = raw_data['heat exchanger']['kA_char2']
with open(os.path.join(self.path, 'char_lines.json'), 'w') as outfile:
json.dump(data, outfile)
char_original = load_default_char('heat exchanger', 'kA_char2',
'EVAPORATING FLUID', char_line)
char_custom = load_custom_char('EVAPORATING FLUID', char_line)
shutil.rmtree(self.path, ignore_errors=True)
x_cond = np.array_equal(char_original.x, char_custom.x)
y_cond = np.array_equal(char_original.y, char_custom.y)
msg = ('The x values from the custom characteristic line ' +
str(char_custom.x) + ' must be identical to the x values from '
'the default characteristic line ' + str(char_original.x) + ' '
'as these have been duplicated before load.')
eq_(True, x_cond, msg)
msg = ('The y values from the custom characteristic line ' +
str(char_custom.y) + ' must be identical to the y values from '
'the default characteristic line ' + str(char_original.y) + ' '
'as these have been duplicated before load.')
eq_(True, y_cond, msg)
def test_custom_char_map_import():
"""Test importing a custom characteristc map."""
# we need to write some data to the path first, using defaults
data_path = resource_filename('tespy.data', 'char_maps.json')
path = extend_basic_path('data')
tmp_path = extend_basic_path('tmp_dir_for_testing')
if os.path.exists(path):
for f in os.listdir(path):
shutil.copy(src=path + '/' + f, dst=tmp_path)
with open(data_path) as f:
raw_data = json.loads(f.read())
data = raw_data['compressor']['char_map']
with open(os.path.join(path, 'char_maps.json'), 'w') as outfile:
json.dump(data, outfile)
char_original = load_default_char('compressor', 'char_map', 'DEFAULT',
compressor_map)
char_custom = load_custom_char('DEFAULT', compressor_map)
x_cond = np.array_equal(char_original.x, char_custom.x)
y_cond = np.array_equal(char_original.y, char_custom.y)
z1_cond = np.array_equal(char_original.z1, char_custom.z1)
z2_cond = np.array_equal(char_original.z2, char_custom.z2)
shutil.rmtree(path, ignore_errors=True)
if os.path.exists(tmp_path):
path = extend_basic_path('data')
for f in os.listdir(tmp_path):
shutil.copy(src=tmp_path + '/' + f, dst=path)
shutil.rmtree(tmp_path, ignore_errors=True)
msg = ('The x values from the custom characteristic line ' +
str(char_custom.x) + ' must be identical to the x values from '
'the default characteristic line ' + str(char_original.x) + ' '
'as these have been duplicated before load.')
assert x_cond is True, msg
msg = ('The y values from the custom characteristic line ' +
str(char_custom.y) + ' must be identical to the y values from '
'the default characteristic line ' + str(char_original.y) + ' '
'as these have been duplicated before load.')
assert y_cond is True, msg
msg = ('The z1 values from the custom characteristic line ' +
str(char_custom.z1) + ' must be identical to the z1 values from '
'the default characteristic line ' + str(char_original.z1) + ' '
'as these have been duplicated before load.')
assert z1_cond is True, msg
msg = ('The z2 values from the custom characteristic line ' +
str(char_custom.z2) + ' must be identical to the z2 values from '
'the default characteristic line ' + str(char_original.z2) + ' '
'as these have been duplicated before load.')
assert z2_cond is True, msg
def test_missing_char_map_files():
"""Test missing files."""
path = extend_basic_path('data')
tmp_path = extend_basic_path('tmp_dir_for_testing')
if os.path.exists(path):
for f in os.listdir(path):
shutil.copy(src=path + '/' + f, dst=tmp_path)
shutil.rmtree(path, ignore_errors=True)
with raises(FileNotFoundError):
load_custom_char('some other stuff', char_map)
if os.path.exists(tmp_path):
for f in os.listdir(tmp_path):
shutil.copy(src=tmp_path + '/' + f, dst=path)
shutil.rmtree(tmp_path, ignore_errors=True)
def test_custom_char_map_import(self):
"""Test importing a custom characteristc map."""
# we need to write some data to the path first, using defaults
data_path = resource_filename('tespy.data', 'char_maps.json')
with open(data_path) as f:
raw_data = json.loads(f.read())
data = raw_data['compressor']['char_map']
with open(os.path.join(self.path, 'char_maps.json'), 'w') as outfile:
json.dump(data, outfile)
char_original = load_default_char('compressor', 'char_map', 'DEFAULT',
compressor_map)
char_custom = load_custom_char('DEFAULT', compressor_map)
x_cond = np.array_equal(char_original.x, char_custom.x)
y_cond = np.array_equal(char_original.y, char_custom.y)
z1_cond = np.array_equal(char_original.z1, char_custom.z1)
z2_cond = np.array_equal(char_original.z2, char_custom.z2)
shutil.rmtree(self.path, ignore_errors=True)
msg = ('The x values from the custom characteristic line ' +
str(char_custom.x) + ' must be identical to the x values from '
'the default characteristic line ' + str(char_original.x) + ' '
'as these have been duplicated before load.')
eq_(True, x_cond, msg)
msg = ('The y values from the custom characteristic line ' +
str(char_custom.y) + ' must be identical to the y values from '
'the default characteristic line ' + str(char_original.y) + ' '
'as these have been duplicated before load.')
eq_(True, y_cond, msg)
msg = ('The z1 values from the custom characteristic line ' +
str(char_custom.z1) +
' must be identical to the z1 values from '
'the default characteristic line ' + str(char_original.z1) + ' '
'as these have been duplicated before load.')
eq_(True, z1_cond, msg)
msg = ('The z2 values from the custom characteristic line ' +
str(char_custom.z2) +
' must be identical to the z2 values from '
'the default characteristic line ' + str(char_original.z2) + ' '
'as these have been duplicated before load.')
eq_(True, z2_cond, msg)
def test_custom_CharLine_import():
"""Test importing a custom characteristc lines."""
# we need to write some data to the path first, using defaults
data_path = resource_filename('tespy.data', 'char_lines.json')
path = extend_basic_path('data')
tmp_path = extend_basic_path('tmp_dir_for_testing')
if os.path.exists(path):
for f in os.listdir(path):
shutil.copy(src=path + '/' + f, dst=tmp_path)
with open(data_path) as f:
raw_data = json.loads(f.read())
data = raw_data['heat exchanger']['kA_char2']
with open(os.path.join(path, 'char_lines.json'), 'w') as outfile:
json.dump(data, outfile)
char_original = load_default_char('heat exchanger', 'kA_char2',
'EVAPORATING FLUID', CharLine)
char_custom = load_custom_char('EVAPORATING FLUID', CharLine)
shutil.rmtree(path, ignore_errors=True)
if os.path.exists(tmp_path):
path = extend_basic_path('data')
for f in os.listdir(tmp_path):
shutil.copy(src=tmp_path + '/' + f, dst=path)
shutil.rmtree(tmp_path, ignore_errors=True)
x_cond = np.array_equal(char_original.x, char_custom.x)
y_cond = np.array_equal(char_original.y, char_custom.y)
msg = ('The x values from the custom characteristic line ' +
str(char_custom.x) + ' must be identical to the x values from '
'the default characteristic line ' + str(char_original.x) + ' '
'as these have been duplicated before load.')
assert x_cond, msg
msg = ('The y values from the custom characteristic line ' +
str(char_custom.y) + ' must be identical to the y values from '
'the default characteristic line ' + str(char_original.y) + ' '
'as these have been duplicated before load.')
assert y_cond, msg
def test_missing_char_files():
load_custom_char('some other stuff', char_map)
def test_missing_char_files():
load_custom_char('stuff', char_line)
