def test_update_dual_costs():
# TEST_UPDATE_DUAL_COSTS() - test method update_dual_costs() that creates
# or revises the dual costs in active time intervals using active vertices,
# scheduled powers, and marginal prices.
# NOTE: This test is virtually identical to the NeighborModel test of the
# same name.
print('Running LocalAssetModel.test_update_dual_costs()')
pf = 'pass'
# Create a test Market object.
test_market = Market()
# Create and store a TimeInterval object.
dt = datetime.now() # datetime that may be used for most datetime arguments
time_interval = TimeInterval(dt, timedelta(hours=1), test_market, dt, dt)
test_market.timeIntervals = [time_interval]
# Create and store a marginal price IntervalValue object.
test_market.marginalPrices = [
IntervalValue(test_market, time_interval, test_market, MeasurementType.MarginalPrice, 0.1)]
# Create a test LocalAssetModel object.
test_model = LocalAssetModel()
# Create and store a scheduled power IntervalValue in the active time
# interval.
test_model.scheduledPowers = [
IntervalValue(test_model, time_interval, test_market, MeasurementType.ScheduledPower, 100)]
# Create and store a production cost IntervalValue object in the active
# time interval.
test_model.productionCosts = [
IntervalValue(test_model, time_interval, test_market, MeasurementType.ProductionCost, 1000)]
# TEST 1
print('- Test 1: First calculation of a dual cost')
test_model.update_dual_costs(test_market)
print(' - the method ran without errors')
if len(test_model.dualCosts) != 1:
pf = 'fail'
print(' - the wrong number of dual cost values was created')
else:
print(' - the right number of dual cost values was created')
dual_cost = test_model.dualCosts[0].value
if dual_cost != (1000 - 100 * 0.1):
pf = 'fail'
print(' - an unexpected dual cost value was found')
else:
print(' - the expected dual cost value was found')
# TEST 2
print('- Test 2: Reassignment of an existing dual cost')
# Configure the test by modifying the marginal price value.
test_market.marginalPrices[0].value = 0.2
test_model.update_dual_costs(test_market)
print(' - the method ran without errors')
if len(test_model.dualCosts) != 1:
pf = 'fail'
print(' - the wrong number of dual cost values was created')
else:
print(' - the right number of dual cost values was created')
dual_cost = test_model.dualCosts[0].value
if dual_cost != (1000 - 100 * 0.2):
pf = 'fail'
print(' - an unexpected dual cost value was found')
else:
print(' - the expected dual cost value was found')
# Success.
print('- the test ran to completion')
print('\nResult: #s\n\n', pf)
def test_schedule():
print('Running Market.test_schedule()')
print('WARNING: This test may be affected by NeighborModel.schedule()')
print('WARNING: This test may be affected by NeighborModel.schedule()')
pf = 'pass'
# Establish a myTransactiveNode object
mtn = myTransactiveNode()
# Establish a test market
test_mkt = Market()
# Create and store one TimeInterval
dt = datetime(2018, 1, 1, 12, 0, 0) # Noon Jan 1, 2018
at = dt
dur = timedelta(hours=1)
mkt = test_mkt
mct = dt
st = dt
ti = TimeInterval(at, dur, mkt, mct, st)
test_mkt.timeIntervals = [ti]
# Create and store a marginal price in the active interval.
test_mkt.marginalPrices = [
IntervalValue(test_mkt, ti, test_mkt, MeasurementType.MarginalPrice,
0.01)
]
print('- configuring a test Neighbor and its NeighborModel')
# Create a test object that is a Neighbor
test_obj1 = Neighbor()
test_obj1.maximumPower = 100
# Create the corresponding model that is a NeighborModel
test_mdl1 = NeighborModel()
test_mdl1.defaultPower = 10
test_obj1.model = test_mdl1
test_mdl1.object = test_obj1
mtn.neighbors = [test_obj1]
print('- configuring a test LocalAsset and its LocalAssetModel')
# Create a test object that is a Local Asset
test_obj2 = LocalAsset
test_obj2.maximumPower = 100
# Create the corresponding model that is a LocalAssetModel
test_mdl2 = LocalAssetModel()
test_mdl2.defaultPower = 10
test_obj2.model = test_mdl2
test_mdl2.object = test_obj2
mtn.localAssets = [test_obj2]
try:
test_mkt.schedule(mtn)
print('- method ran without errors')
except:
raise ('- method did not run due to errors')
if len(test_mdl1.scheduledPowers) != 1:
raise (
'- the wrong numbers of scheduled powers were stored for the Neighbor'
)
else:
print(
'- the right number of scheduled powers were stored for the Neighbor'
)
if len(test_mdl2.scheduledPowers) != 1:
raise (
'- the wrong numbers of scheduled powers were stored for the LocalAsset'
)
else:
print(
'- the right number of scheduled powers were stored for the LocalAsset'
)
# Success
print('- the test ran to completion')
print('Result: #s\n\n', pf)