def test_create_blank():
    modeling_periods = {}
    groupings = []
    mps = ModelingPeriodSet(modeling_periods, groupings)

    groups = list(mps.iter_modeling_period_groups())
    assert len(groups) == 0

    modeling_periods = list(mps.iter_modeling_periods())
    assert len(modeling_periods) == 0
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def test_create_blank():
    modeling_periods = {}
    groupings = []
    mps = ModelingPeriodSet(modeling_periods, groupings)

    groups = list(mps.iter_modeling_period_groups())
    assert len(groups) == 0

    modeling_periods = list(mps.iter_modeling_periods())
    assert len(modeling_periods) == 0
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def test_grouping_misreference():
    modeling_periods = {}

    grouping = [
        ("typo1", "typo2"),
    ]

    with pytest.raises(ValueError):
        ModelingPeriodSet(modeling_periods, grouping)
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def _deserialize_single_modeling_period_group(modeling_period_group):

    # check for "baseline_period" key
    baseline_period = modeling_period_group.get('baseline_period', None)
    if baseline_period is None:
        return {
            'error': ('Project serializations must provide key'
                      ' "baseline_period".')
        }
    else:
        start_date = baseline_period.get("start", None)
        if start_date is not None:
            start_date = dateutil.parser.parse(start_date).astimezone(pytz.utc)

        end_date = baseline_period.get("end", None)
        if end_date is not None:
            end_date = dateutil.parser.parse(end_date).astimezone(pytz.utc)

        baseline = ModelingPeriod("BASELINE", start_date, end_date)

    # check for "reporting_period" key
    reporting_period = modeling_period_group.get('reporting_period', None)
    if reporting_period is None:
        return {
            'error': ('Project serializations must provide key'
                      ' "reporting_period".')
        }
    else:
        start_date = reporting_period.get("start", None)
        if start_date is not None:
            start_date = dateutil.parser.parse(start_date).astimezone(pytz.utc)

        end_date = reporting_period.get("end", None)
        if end_date is not None:
            end_date = dateutil.parser.parse(end_date).astimezone(pytz.utc)

        reporting = ModelingPeriod("REPORTING", start_date, end_date)

    modeling_periods = {
        "baseline": baseline,
        "reporting": reporting,
    }

    grouping = [
        ("baseline", "reporting"),
    ]

    mps = ModelingPeriodSet(modeling_periods, grouping)
    return {"modeling_period_set": mps}
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def test_create_basic():
    modeling_period_1 = ModelingPeriod(
        "BASELINE",
        end_date=datetime(2000, 1, 1, tzinfo=pytz.UTC),
    )
    modeling_period_2 = ModelingPeriod(
        "REPORTING",
        start_date=datetime(2000, 1, 1, tzinfo=pytz.UTC),
    )
    modeling_periods = {
        "modeling_period_1": modeling_period_1,
        "modeling_period_2": modeling_period_2,
    }

    grouping = [
        ("modeling_period_1", "modeling_period_2"),
    ]

    mps = ModelingPeriodSet(modeling_periods, grouping)

    groups = list(mps.iter_modeling_period_groups())
    assert len(groups) == 1
    group = groups[0]
    assert len(group) == 2
    assert len(group[0]) == 2
    assert group[0][0] == "modeling_period_1"
    assert group[0][1] == "modeling_period_2"
    assert group[1][0] == modeling_period_1
    assert group[1][1] == modeling_period_2

    modeling_periods = list(mps.iter_modeling_periods())
    assert len(modeling_periods) == 2
    assert modeling_periods[0][0] == "modeling_period_1"
    assert modeling_periods[1][0] == "modeling_period_2"
    assert modeling_periods[0][1] == modeling_period_1
    assert modeling_periods[1][1] == modeling_period_2
def test_create_basic():
    modeling_period_1 = ModelingPeriod(
        "BASELINE",
        end_date=datetime(2000, 1, 1, tzinfo=pytz.UTC),
    )
    modeling_period_2 = ModelingPeriod(
        "REPORTING",
        start_date=datetime(2000, 1, 1, tzinfo=pytz.UTC),
    )
    modeling_periods = {
        "modeling_period_1": modeling_period_1,
        "modeling_period_2": modeling_period_2,
    }

    grouping = [
        ("modeling_period_1", "modeling_period_2"),
    ]

    mps = ModelingPeriodSet(modeling_periods, grouping)

    groups = list(mps.iter_modeling_period_groups())
    assert len(groups) == 1
    group = groups[0]
    assert len(group) == 2
    assert len(group[0]) == 2
    assert group[0][0] == "modeling_period_1"
    assert group[0][1] == "modeling_period_2"
    assert group[1][0] == modeling_period_1
    assert group[1][1] == modeling_period_2

    modeling_periods = list(mps.iter_modeling_periods())
    assert len(modeling_periods) == 2
    assert modeling_periods[0][0] == "modeling_period_1"
    assert modeling_periods[1][0] == "modeling_period_2"
    assert modeling_periods[0][1] == modeling_period_1
    assert modeling_periods[1][1] == modeling_period_2
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def test_grouping_wrong_length():
    modeling_periods = {
        "modeling_period_1":
        ModelingPeriod(
            "BASELINE",
            end_date=datetime(2000, 1, 1, tzinfo=pytz.UTC),
        ),
        "modeling_period_2":
        ModelingPeriod(
            "REPORTING",
            start_date=datetime(2000, 2, 1, tzinfo=pytz.UTC),
        ),
    }

    grouping = [("modeling_period1", )]

    with pytest.raises(ValueError):
        ModelingPeriodSet(modeling_periods, grouping)
def modeling_period_set():
    modeling_period_1 = ModelingPeriod(
        "BASELINE",
        end_date=datetime(2000, 9, 1, tzinfo=pytz.UTC),
    )
    modeling_period_2 = ModelingPeriod(
        "REPORTING",
        start_date=datetime(2001, 1, 1, tzinfo=pytz.UTC),
    )
    modeling_periods = {
        "modeling_period_1": modeling_period_1,
        "modeling_period_2": modeling_period_2,
    }

    grouping = [
        ("modeling_period_1", "modeling_period_2"),
    ]

    return ModelingPeriodSet(modeling_periods, grouping)
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def get_modeling_period_set(interventions):
    ''' Creates an applicable modeling period set given a list of
    interventions.

    Parameters
    ----------
    interventions : list of eemeter.structures.Intervention
        Interventions for which to build ModelingPeriodSet.
    '''

    # don't attempt modeling where there are no interventions
    if len(interventions) == 0:
        logger.info("No interventions, so no modeling period set.")
        return None

    baseline_period_end = _get_earliest_intervention_start_date(interventions)
    reporting_period_start = _get_latest_intervention_end_date(interventions)

    if reporting_period_start is None:
        # fall back to baseline_period_end - interventions are still
        # ongoing.
        reporting_period_start = baseline_period_end

    modeling_periods = {
        "baseline":
        ModelingPeriod("BASELINE", end_date=baseline_period_end),
        "reporting":
        ModelingPeriod("REPORTING", start_date=reporting_period_start),
    }

    groupings = [("baseline", "reporting")]

    modeling_period_set = ModelingPeriodSet(modeling_periods, groupings)

    logger.info("Created one modeling period group.")

    return modeling_period_set
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def test_repr():

    modeling_period_1 = ModelingPeriod(
        "BASELINE",
        end_date=datetime(2000, 1, 1, tzinfo=pytz.UTC),
    )
    modeling_period_2 = ModelingPeriod(
        "REPORTING",
        start_date=datetime(2000, 1, 1, tzinfo=pytz.UTC),
    )
    modeling_periods = {
        "modeling_period_1": modeling_period_1,
        "modeling_period_2": modeling_period_2,
    }

    grouping = [
        ("modeling_period_1", "modeling_period_2"),
    ]

    mps = ModelingPeriodSet(modeling_periods, grouping)

    assert str(mps).startswith('ModelingPeriodSet(modeling_periods={')
    assert str(mps).endswith(
        ', groupings=[(\'modeling_period_1\', \'modeling_period_2\')])')