示例#1
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def ghi_observation_metadata(site_metadata):
    ghi_meta = datamodel.Observation(name='Albuquerque Baseline GHI',
                                     variable='ghi',
                                     interval_value_type='instantaneous',
                                     interval_length=pd.Timedelta('5min'),
                                     interval_label='instant',
                                     site=site_metadata,
                                     uncertainty=1)
    return ghi_meta
示例#2
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def ac_power_observation_metadata_label(request, powerplant_metadata):
    ac_power_meta = datamodel.Observation(name='Albuquerque Baseline AC Power',
                                          variable='ac_power',
                                          interval_value_type='mean',
                                          interval_length=pd.Timedelta('5min'),
                                          interval_label=request.param,
                                          site=powerplant_metadata,
                                          uncertainty=1)
    return ac_power_meta
示例#3
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def ac_power_observation_metadata(powerplant_metadata):
    ac_power_meta = datamodel.Observation(name='Albuquerque Baseline AC Power',
                                          variable='ac_power',
                                          interval_value_type='instantaneous',
                                          interval_length=pd.Timedelta('5min'),
                                          interval_label='instant',
                                          site=powerplant_metadata,
                                          uncertainty=1)
    return ac_power_meta
def test_invalid_variable(single_site):
    with pytest.raises(ValueError):
        datamodel.Observation(
            name='test', variable='noway',
            interval_value_type='mean',
            interval_length=pd.Timedelta('1min'),
            interval_label='beginning',
            site=single_site,
            uncertainty=0.1,
        )
示例#5
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 def f(obs_dict):
     return datamodel.Observation(
         name=obs_dict['name'],
         variable=obs_dict['variable'],
         interval_value_type=obs_dict['interval_value_type'],
         interval_length=pd.Timedelta(f'{obs_dict["interval_length"]}min'),
         interval_label=obs_dict['interval_label'],
         site=get_site(obs_dict['site_id']),
         uncertainty=obs_dict['uncertainty'],
         observation_id=obs_dict.get('observation_id', ''),
         extra_parameters=obs_dict.get('extra_parameters', ''))
示例#6
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def default_observation(site_metadata,
                        name='Albuquerque Baseline',
                        variable='ghi',
                        interval_value_type='mean',
                        uncertainty=1,
                        interval_length='1h',
                        interval_label='beginning'):
    """
    Helpful when you want to test a couple of parameters and don't
    need to worry about the rest.
    """
    obs = datamodel.Observation(site=site_metadata,
                                name=name,
                                variable=variable,
                                interval_value_type=interval_value_type,
                                uncertainty=uncertainty,
                                interval_length=pd.Timedelta(interval_length),
                                interval_label=interval_label)
    return obs