import numpy as np
import pytest
from fixtures import three_storage_model

from pywr.core import Model, Input, Output, Link, Storage, AggregatedStorage
from pywr.parameters.control_curves import ControlCurveParameter

def test_aggregated_storage(three_storage_model):
    """ Test `AggregatedStorage` correct sums multiple `Storage`. """
    m = three_storage_model

    agg_stg = m.nodes['Total Storage']
    stgs = [m.nodes['Storage {}'.format(num)] for num in range(3)]
    # Check initial volume is aggregated correclty
    np.testing.assert_allclose(agg_stg.initial_volume, np.sum(s.initial_volume for s in stgs))

    m.setup()
    m.step()

    # Finally check volume is summed correctly
    np.testing.assert_allclose(agg_stg.volume, np.sum(s.volume for s in stgs))
    current_pc = np.sum(s.volume for s in stgs) / (np.sum(s.max_volume for s in stgs))
    np.testing.assert_allclose(agg_stg.current_pc, current_pc)
    np.testing.assert_allclose(agg_stg.flow, np.sum(s.flow for s in stgs))

    m.step()

    # Finally check volume is summed correctly
    np.testing.assert_allclose(agg_stg.volume, np.sum(s.volume for s in stgs))
    current_pc = np.sum(s.volume for s in stgs) / (np.sum(s.max_volume for s in stgs))
    np.testing.assert_allclose(agg_stg.current_pc, current_pc)
    np.testing.assert_allclose(agg_stg.flow, np.sum(s.flow for s in stgs))


def test_aggregated_storage_scenarios(three_storage_model):
    """ Test `AggregatedScenario` correctly sums over scenarios. """
    from pywr.core import Scenario
    from pywr.parameters import ConstantScenarioParameter
    m = three_storage_model
    sc = Scenario(m, 'A', size=5)

    agg_stg = m.nodes['Total Storage']
    stgs = [m.nodes['Storage {}'.format(num)] for num in range(3)]
    # Setup scenario
    inpt1 = m.nodes['Input 1'].max_flow = ConstantScenarioParameter(m, sc, range(sc.size))

    m.setup()
    m.step()

    # Finally check volume is summed correctly
    np.testing.assert_allclose(agg_stg.volume, np.sum(s.volume for s in stgs))
    current_pc = np.sum(s.volume for s in stgs) / (np.sum(s.max_volume for s in stgs))
    np.testing.assert_allclose(agg_stg.current_pc, current_pc)
    np.testing.assert_allclose(agg_stg.flow, np.sum(s.flow for s in stgs))

    m.step()

    # Finally check volume is summed correctly
    np.testing.assert_allclose(agg_stg.volume, np.sum(s.volume for s in stgs))
    current_pc = np.sum(s.volume for s in stgs) / (np.sum(s.max_volume for s in stgs))
    np.testing.assert_allclose(agg_stg.current_pc, current_pc)
    np.testing.assert_allclose(agg_stg.flow, np.sum(s.flow for s in stgs))


def test_aggregated_storage_connectivity(three_storage_model):
    """ Test `AggregatedStorage` has the correct attributes. """
    m = three_storage_model
    agg_stg = m.nodes['Total Storage']
    inpt = m.nodes['Input 1']

    with pytest.raises(AttributeError):
        agg_stg.connect()

    with pytest.raises(TypeError):
        # If not `Connectable` the node won't have a iter_slots attribute
        inpt.connect(agg_stg)


def test_aggregated_storage_attributes(three_storage_model):
    """ Test `AggregatedStorage` has the correct attributes. """
    m = three_storage_model
    agg_stg = m.nodes['Total Storage']

    with pytest.raises(AttributeError):
        agg_stg.get_max_volume()

    with pytest.raises(AttributeError):
        agg_stg.get_min_volume()


def test_aggregated_storage_control_curve(three_storage_model):
    """Test using a control curve based on an aggregate storage, rather than
    a single storage.
    """
    model = three_storage_model

    # create a new supply node
    inpt = Input(model, "Input 3", cost=-1000)
    inpt.connect(model.nodes["Output 0"])
    inpt.connect(model.nodes["Output 1"])
    inpt.connect(model.nodes["Output 2"])

    # limit the flow of the new node using a control curve on the aggregate storage
    curves = [0.5] # 50%
    values = [0, 5]
    inpt.max_flow = ControlCurveParameter(model, model.nodes["Total Storage"], curves, values)

    # initial storage is > 50% so flow == 0
    model.step()
    np.testing.assert_allclose(inpt.flow, 0.0)

    # set initial storage to < 50%
    storages = [node for node in model.nodes if isinstance(node, Storage)]
    for node, value in zip(storages, [0.6, 0.1, 0.1]):
        if isinstance(node, Storage):
            node.initial_volume = node.max_volume * value

    # now below the control curve, so flow is allowed
    model.reset()
    model.step()
    np.testing.assert_allclose(inpt.flow, 5.0)


def test_aggregated_node(three_storage_model):
    """ Test `AggregatedNode` correct sums multiple `Node`. """
    m = three_storage_model

    agg_otpt = m.nodes['Total Output']
    otpts = [m.nodes['Output {}'.format(num)] for num in range(3)]

    m.setup()
    m.step()

    # Finally check volume is summed correctly
    np.testing.assert_allclose(agg_otpt.flow, np.sum(o.flow for o in otpts))

    m.step()

    # Finally check volume is summed correctly
    np.testing.assert_allclose(agg_otpt.flow, np.sum(o.flow for o in otpts))


def test_aggregated_node_scenarios(three_storage_model):
    """ Test `AggregatedScenario` correctly sums over scenarios. """
    from pywr.core import Scenario
    from pywr.parameters import ConstantScenarioParameter
    m = three_storage_model
    sc = Scenario(m, 'A', size=5)

    agg_otpt = m.nodes['Total Output']
    otpts = [m.nodes['Output {}'.format(num)] for num in range(3)]
    # Setup scenario
    inpt1 = m.nodes['Input 1'].max_flow = ConstantScenarioParameter(m, sc, range(sc.size))

    m.setup()
    m.step()

    # Finally check volume is summed correctly
    np.testing.assert_allclose(agg_otpt.flow, np.sum(o.flow for o in otpts))

    m.step()

    # Finally check volume is summed correctly
    np.testing.assert_allclose(agg_otpt.flow, np.sum(o.flow for o in otpts))


def test_aggregated_node_connectivity(three_storage_model):
    """ Test `AggregatedStorage` has the correct attributes. """
    m = three_storage_model
    agg_otpt = m.nodes['Total Output']
    inpt = m.nodes['Input 1']

    with pytest.raises(AttributeError):
        agg_otpt.connect()

    with pytest.raises(TypeError):
        # If not `Connectable` the node won't have a iter_slots attribute
        inpt.connect(agg_otpt)


def test_aggregated_node_attributes(three_storage_model):
    """ Test `AggregatedStorage` has the correct attributes. """
    m = three_storage_model
    agg_otpt = m.nodes['Total Output']

    with pytest.raises(AttributeError):
        agg_otpt.get_max_volume()

    with pytest.raises(AttributeError):
        agg_otpt.get_min_volume()

