def test_GIVEN_monthly_output_but_run_starts_mid_month_WHEN_alter_output_profiles_THEN_output_start_added(self):
job_runner_client = JobRunnerClient(config)
param1 = Parameter(name='main_run_start')
param1.namelist = Namelist(name='JULES_TIME')
param1_val = "'1901-6-25 12:00:00'"
param1.parameter_values = [ParameterValue(value=param1_val)]
param2 = Parameter(name='main_run_end')
param2.namelist = Namelist(name='JULES_TIME')
param2_val = "'1904-02-01 00:00:00'"
param2.parameter_values = [ParameterValue(value=param2_val)]
param3 = Parameter(name='output_period')
param3.namelist = Namelist(name='JULES_OUTPUT_PROFILE')
param3_val = "%s" % constants.JULES_MONTHLY_PERIOD
param3.parameter_values = [ParameterValue(value=param3_val, group_id=1)]
param4 = Parameter(name='output_start')
param4.namelist = Namelist(name='JULES_OUTPUT_PROFILE')
param4.parameter_values = []
parameters = [param1, param2, param3, param4]
parameters = job_runner_client.alter_yearly_monthly_output_profiles(parameters)
output_start = utils.get_first_parameter_value_from_parameter_list(parameters,
constants.JULES_PARAM_OUTPUT_START,
group_id=1)
assert_that(output_start, is_(datetime.datetime(1901, 7, 1)))
def test_GIVEN_valid_model_WHEN_convert_to_dictionary_THEN_namelist_with_no_representation_are_present(self):
job_runner_client = JobRunnerClient(config)
def _alter_yearly_monthly_output_profiles(params):
return params
def _alter_driving_data_start(params):
return params
job_runner_client.alter_yearly_monthly_output_profiles = _alter_yearly_monthly_output_profiles
job_runner_client.alter_driving_data_start = _alter_driving_data_start
parameter = Parameter(name='param1')
expected_parameter_value = '12'
#There is no parameter value:
parameter.parameter_values = []
namelist = Namelist(name='NAME_LIST')
namelist_file = NamelistFile(filename='filename')
# Need this to run
parameter2 = Parameter(name=constants.JULES_PARAM_LATLON_REGION[1])
parameter2.parameter_values = [ParameterValue(value='.true.')]
namelist2 = Namelist(name=constants.JULES_PARAM_LATLON_REGION[0])
namelist_file = NamelistFile(filename='filename')
namelist2.parameters = [parameter2]
namelist2.namelist_file = namelist_file
namelist.parameters = [parameter]
namelist.namelist_file = namelist_file
model_run = ModelRun()
model_run.id = 101
code_version = CodeVersion(name='Jules v3.4.1')
user = User()
user.id = 1
user.email = "email"
user.username = "******"
model_run.user = user
model_run.code_version = code_version
code_version.parameters = [parameter, parameter2]
result = job_runner_client.convert_model_to_dictionary(model_run, code_version.parameters, [])
namelist_file_result = result[constants.JSON_MODEL_NAMELIST_FILES][0]
assert_that(namelist_file_result[constants.JSON_MODEL_NAMELIST_FILE_FILENAME],
is_(namelist_file.filename), "value is correct")
assert_that(namelist_file_result[constants.JSON_MODEL_NAMELISTS][0][constants.JSON_MODEL_NAMELIST_NAME],
is_(namelist.name), "value is correct")
parameters_result = namelist_file_result[constants.JSON_MODEL_NAMELISTS][0][constants.JSON_MODEL_PARAMETERS]
assert_that(parameters_result, is_({}), "there are no values")
assert_that(len(result[constants.JSON_LAND_COVER]), is_(0))
def test_GIVEN_valid_model_WHEN_convert_to_dictionary_THEN_dictionary_is_correct(self):
job_runner_client = JobRunnerClient(config)
def _alter_yearly_monthly_output_profiles(params):
return params
def _alter_driving_data_start(params):
return params
job_runner_client.alter_yearly_monthly_output_profiles = _alter_yearly_monthly_output_profiles
job_runner_client.alter_driving_data_start = _alter_driving_data_start
parameter = Parameter(name=constants.JULES_PARAM_POINTS_FILE[1])
expected_parameter_value = '51 0.5'
expected_index = 3
#There is only one parameter value per run:
parameter.parameter_values = [ParameterValue(value=expected_parameter_value)]
namelist = Namelist(name=constants.JULES_PARAM_POINTS_FILE[0])
namelist_file = NamelistFile(filename='filename')
namelist.parameters = [parameter]
namelist.namelist_file = namelist_file
namelist.index_in_file = expected_index
model_run = ModelRun()
model_run.id = 101
model_run.land_cover_frac = "1 2 3 4 5 6 7 8 9"
code_version = CodeVersion(name='Jules v3.4.1')
model_run.code_version = code_version
code_version.parameters = [parameter]
user = User()
user.id = 1
user.email = "email"
user.username = "******"
model_run.user = user
result = job_runner_client.convert_model_to_dictionary(model_run, code_version.parameters, [])
assert_that(result[constants.JSON_MODEL_RUN_ID], is_(model_run.id), "value is correct")
assert_that(result[constants.JSON_MODEL_CODE_VERSION], is_(model_run.code_version.name), "value is correct")
assert_that(result[constants.JSON_USER_ID], is_(user.id), "user id")
assert_that(result[constants.JSON_USER_NAME], is_(user.username), "user name")
assert_that(result[constants.JSON_USER_EMAIL], is_(user.email), "user email")
namelist_file_result = result[constants.JSON_MODEL_NAMELIST_FILES][0]
assert_that(namelist_file_result[constants.JSON_MODEL_NAMELIST_FILE_FILENAME],
is_(namelist_file.filename), "value is correct")
assert_that(namelist_file_result[constants.JSON_MODEL_NAMELISTS][0][constants.JSON_MODEL_NAMELIST_NAME],
is_(namelist.name), "namelist name")
assert_that(namelist_file_result[constants.JSON_MODEL_NAMELISTS][0][constants.JSON_MODEL_NAMELIST_INDEX],
is_(namelist.index_in_file), "namelist index")
parameters_result = namelist_file_result[constants.JSON_MODEL_NAMELISTS][0][constants.JSON_MODEL_PARAMETERS]
assert_that(parameters_result, is_({parameter.name: expected_parameter_value}), "value is correct")
def test_GIVEN_spinup_start_at_beginning_of_driving_data_WHEN_alter_driving_data_start_THEN_driving_data_start_unmoved(self):
job_runner_client = JobRunnerClient(config)
param1 = Parameter(name='data_start')
param1.namelist = Namelist(name='JULES_DRIVE')
param1_val = "'1901-01-01 00:00:00'"
param1.parameter_values = [ParameterValue(value=param1_val)]
param2 = Parameter(name='spinup_start')
param2.namelist = Namelist(name='JULES_SPINUP')
param2_val = "'1901-01-01 00:00:00'"
param2.parameter_values = [ParameterValue(value=param2_val)]
parameters = [param1, param2]
parameters = job_runner_client.alter_driving_data_start(parameters)
dd_start = utils.get_first_parameter_value_from_parameter_list(parameters,
constants.JULES_PARAM_DRIVE_DATA_START)
assert_that(dd_start, is_(datetime.datetime(1901, 1, 1)))
def test_GIVEN_model_contains_repeated_namelists_WHEN_convert_to_dictionary_THEN_namelists_grouped_correctly(self):
job_runner_client = JobRunnerClient(config)
def _alter_yearly_monthly_output_profiles(params):
return params
def _alter_driving_data_start(params):
return params
job_runner_client.alter_yearly_monthly_output_profiles = _alter_yearly_monthly_output_profiles
job_runner_client.alter_driving_data_start = _alter_driving_data_start
# Set the namelists here:
nml_output = Namelist(name=constants.JULES_NML_OUTPUT)
nml_output_profile = Namelist(name=constants.JULES_NML_OUTPUT_PROFILE)
nml_output.namelist_file = nml_output_profile.namelist_file = NamelistFile(filename="output.nml")
nml_model_grid = Namelist(name=constants.JULES_PARAM_LATLON_REGION[0])
nml_model_grid.namelist_file = NamelistFile(filename="model_grid.nml")
# Set the parameters here:
param_nprofiles = Parameter(name=constants.JULES_PARAM_OUTPUT_NPROFILES[1])
param_profile_name = Parameter(name=constants.JULES_PARAM_OUTPUT_PROFILE_NAME[1])
param_var = Parameter(name=constants.JULES_PARAM_OUTPUT_VAR[1])
param_latlon_region = Parameter(name=constants.JULES_PARAM_LATLON_REGION[1])
# Set the parameter values
param_nprofiles.parameter_values = [ParameterValue(value=2)]
param_profile_name.parameter_values = [ParameterValue(value="monthly", group_id=0),
ParameterValue(value="yearly", group_id=1)]
param_var.parameter_values = [ParameterValue(value='"emis_gb", "ftl_gb"', group_id=0),
ParameterValue(value='"snow_mass_gb", "tstar_gb"', group_id=1)]
param_latlon_region.parameter_values = [ParameterValue(value=".true.")]
# Assign the parameters to namelists
nml_output.parameters = [param_nprofiles]
nml_output_profile.parameters = [param_profile_name, param_var]
nml_model_grid.parameters = [param_latlon_region]
model_run = ModelRun()
model_run.id = 101
code_version = CodeVersion(name='Jules v3.4.1')
user = User()
user.id = 1
user.email = "email"
user.username = "******"
model_run.user = user
model_run.code_version = code_version
code_version.parameters = [param_profile_name, param_var, param_nprofiles, param_latlon_region]
result = job_runner_client.convert_model_to_dictionary(model_run, code_version.parameters, [])
# Check the result dictionary has the correct run ID and code version
assert_that(result[constants.JSON_MODEL_RUN_ID], is_(model_run.id), "value is correct")
assert_that(result[constants.JSON_MODEL_CODE_VERSION], is_(model_run.code_version.name), "value is correct")
# Check that the namelist_files has the correct namelist file
namelist_file_result = result[constants.JSON_MODEL_NAMELIST_FILES][0]
assert_that(namelist_file_result[constants.JSON_MODEL_NAMELIST_FILE_FILENAME],
is_("output.nml"), "value is correct")
# Check that the namelist file contains the three namelists
namelists = namelist_file_result[constants.JSON_MODEL_NAMELISTS]
assert_that(len(namelists), is_(3))
# Check the dictionaries are as expected
profiles_dict1 = {constants.JSON_MODEL_NAMELIST_GROUP_ID: 0,
constants.JSON_MODEL_NAMELIST_INDEX: None,
constants.JSON_MODEL_NAMELIST_NAME: constants.JULES_NML_OUTPUT_PROFILE,
constants.JSON_MODEL_PARAMETERS: {
constants.JULES_PARAM_OUTPUT_VAR[1]: '"emis_gb", "ftl_gb"',
constants.JULES_PARAM_OUTPUT_PROFILE_NAME[1]: "monthly"
}}
profiles_dict2 = {constants.JSON_MODEL_NAMELIST_GROUP_ID: 1,
constants.JSON_MODEL_NAMELIST_INDEX: None,
constants.JSON_MODEL_NAMELIST_NAME: constants.JULES_NML_OUTPUT_PROFILE,
constants.JSON_MODEL_PARAMETERS: {
constants.JULES_PARAM_OUTPUT_VAR[1]: '"snow_mass_gb", "tstar_gb"',
constants.JULES_PARAM_OUTPUT_PROFILE_NAME[1]: "yearly"
}}
output_dict = {constants.JSON_MODEL_NAMELIST_GROUP_ID: None,
constants.JSON_MODEL_NAMELIST_INDEX: None,
constants.JSON_MODEL_NAMELIST_NAME: constants.JULES_NML_OUTPUT,
constants.JSON_MODEL_PARAMETERS: {
constants.JULES_PARAM_OUTPUT_NPROFILES[1]: 2
}}
assert_that(namelists, contains_inanyorder(profiles_dict1, profiles_dict2, output_dict))
def test_GIVEN_model_with_land_cover_actions_WHEN_convert_to_dictionary_THEN_land_cover_actions_present(self):
job_runner_client = JobRunnerClient(config)
def _alter_yearly_monthly_output_profiles(params):
return params
def _alter_driving_data_start(params):
return params
job_runner_client.alter_yearly_monthly_output_profiles = _alter_yearly_monthly_output_profiles
job_runner_client.alter_driving_data_start = _alter_driving_data_start
parameter = Parameter(name='file')
expected_parameter_value = "'base_frac_file.nc'"
parameter.parameter_values = [ParameterValue(value=expected_parameter_value)]
parameter2 = Parameter(name='frac_name')
expected_parameter_value2 = "'frac'"
parameter2.parameter_values = [ParameterValue(value=expected_parameter_value2)]
parameter3 = Parameter(name='latlon_region')
expected_parameter_value3 = ".true."
parameter3.parameter_values = [ParameterValue(value=expected_parameter_value3)]
namelist = Namelist(name='JULES_FRAC')
namelist_file = NamelistFile(filename='filename')
expected_index = 3
namelist.parameters = [parameter, parameter2]
namelist.namelist_file = namelist_file
namelist.index_in_file = expected_index
namelist2 = Namelist(name='JULES_MODEL_GRID')
namelist_file = NamelistFile(filename='filename')
expected_index = 3
namelist2.parameters = [parameter3]
namelist2.namelist_file = namelist_file
namelist2.index_in_file = expected_index
model_run = ModelRun()
model_run.id = 101
code_version = CodeVersion(name='Jules v3.4.1')
model_run.code_version = code_version
code_version.parameters = [parameter, parameter2, parameter3]
user = User()
user.id = 1
user.email = "email"
user.username = "******"
model_run.user = user
lcr1 = LandCoverRegion()
lcr1.mask_file = "region1.nc"
lca1 = LandCoverAction()
lca1.value_id = 9
lca1.order = 1
lca1.region = lcr1
lcr2 = LandCoverRegion()
lcr2.mask_file = "region2.nc"
lca2 = LandCoverAction()
lca2.value_id = 5
lca2.order = 2
lca2.region = lcr2
land_cover_actions = [lca1, lca2]
result = job_runner_client.convert_model_to_dictionary(model_run, code_version.parameters, land_cover_actions)
result_lc = result[constants.JSON_LAND_COVER]
assert_that(result_lc[constants.JSON_LAND_COVER_BASE_FILE], is_("base_frac_file.nc"))
assert_that(result_lc[constants.JSON_LAND_COVER_BASE_KEY], is_("frac"))
assert_that(result_lc[constants.JSON_LAND_COVER_ICE_INDEX], is_(9))
result_lc_actions = result_lc[constants.JSON_LAND_COVER_ACTIONS]
assert_that(len(result_lc_actions), is_(2))
action1 = result_lc_actions[0]
assert_that(action1[constants.JSON_LAND_COVER_MASK_FILE], is_("region1.nc"))
assert_that(action1[constants.JSON_LAND_COVER_ORDER], is_(1))
assert_that(action1[constants.JSON_LAND_COVER_VALUE], is_(9))
action2 = result_lc_actions[1]
assert_that(action2[constants.JSON_LAND_COVER_MASK_FILE], is_("region2.nc"))
assert_that(action2[constants.JSON_LAND_COVER_ORDER], is_(2))
assert_that(action2[constants.JSON_LAND_COVER_VALUE], is_(5))
namelist_file_result = result[constants.JSON_MODEL_NAMELIST_FILES][0]
parameters_result = namelist_file_result[constants.JSON_MODEL_NAMELISTS][0][constants.JSON_MODEL_PARAMETERS]
assert_that(parameters_result['file'], is_("'" + constants.USER_EDITED_FRACTIONAL_FILENAME + "'"))
assert_that(parameters_result['frac_name'], is_("'frac'"))
