def test_multi_db_run(tmpdir):
# create a new instance of the transport problem and solve it
mp1 = Platform(driver="hsqldb", path=tmpdir / "mp1")
scen1 = make_dantzig(mp1, solve=True)
mp2 = Platform(driver="hsqldb", path=tmpdir / "mp2")
# add other unit to make sure that the mapping is correct during clone
mp2.add_unit("wrong_unit")
mp2.add_region("wrong_region", "country")
# check that cloning across platforms must copy the full solution
dest = dict(platform=mp2)
pytest.raises(NotImplementedError,
scen1.clone,
keep_solution=False,
**dest)
pytest.raises(NotImplementedError,
scen1.clone,
shift_first_model_year=1964,
**dest)
# clone solved model across platforms (with default settings)
scen1.clone(platform=mp2, keep_solution=True)
# close the db to ensure that data and solution of the clone are saved
mp2.close_db()
del mp2
# reopen the connection to the second platform and reload scenario
_mp2 = Platform(driver="hsqldb", path=tmpdir / "mp2")
scen2 = Scenario(_mp2, **SCENARIO["dantzig"])
assert_multi_db(mp1, _mp2)
# check that sets, variables and parameter were copied correctly
npt.assert_array_equal(scen1.set("node"), scen2.set("node"))
scen2.firstmodelyear == 1963
assert_frame_equal(scen1.par("var_cost"), scen2.par("var_cost"))
assert np.isclose(scen2.var("OBJ")["lvl"], 153.675)
assert_frame_equal(scen1.var("ACT"), scen2.var("ACT"))
# check that custom unit, region and timeseries are migrated correctly
assert_frame_equal(scen2.timeseries(iamc=True), TS_DF)
def test_multi_db_run(tmpdir):
# create a new instance of the transport problem and solve it
mp1 = Platform(tmpdir / 'mp1', dbtype='HSQLDB')
scen1 = make_dantzig(mp1, solve=True)
mp2 = Platform(tmpdir / 'mp2', dbtype='HSQLDB')
# add other unit to make sure that the mapping is correct during clone
mp2.add_unit('wrong_unit')
mp2.add_region('wrong_region', 'country')
# check that cloning across platforms must copy the full solution
dest = dict(platform=mp2)
pytest.raises(ValueError, scen1.clone, keep_solution=False, **dest)
pytest.raises(ValueError, scen1.clone, shift_first_model_year=1964, **dest)
# clone solved model across platforms (with default settings)
scen1.clone(platform=mp2, keep_solution=True)
# close the db to ensure that data and solution of the clone are saved
mp2.close_db()
del mp2
# reopen the connection to the second platform and reload scenario
_mp2 = Platform(tmpdir / 'mp2', dbtype='HSQLDB')
scen2 = Scenario(_mp2, **models['dantzig'])
assert_multi_db(mp1, _mp2)
# check that sets, variables and parameter were copied correctly
npt.assert_array_equal(scen1.set('node'), scen2.set('node'))
scen2.firstmodelyear == 1963
pdt.assert_frame_equal(scen1.par('var_cost'), scen2.par('var_cost'))
assert np.isclose(scen2.var('OBJ')['lvl'], 153.675)
pdt.assert_frame_equal(scen1.var('ACT'), scen2.var('ACT'))
# check that custom unit, region and timeseries are migrated correctly
pdt.assert_frame_equal(scen2.timeseries(iamc=True), TS_DF)
plots.fe_TrpFrt_source() plots.fe_CommHW_source() plots.fe_CommOth_source() plots.fe_AgriTot_source() # Plots related to CO2 emissions plots.CO2emi_Sequestration_source() plots.CO2emi_sector() plots.CO2emi_Sup_sector() plots.CO2emi_Sup_Elec_source() plots.CO2emi_Dem_source() plots.CO2emi_Dem_Res_source() plots.CO2emi_Dem_AFOFI_source() plots.CO2emi_Dem_TRP_Freight_sector() plots.CO2emi_Dem_TRP_Passenger_sector() plots.CO2emi_Dem_TRP_Tot_sector() #plots.CO2emi_Other_sector() # In[31]: mp.close_db() # In[32]: dir(scenario) # In[33]: scenario.clone() # In[ ]: