Source code for message_ix_models.tests.util.test_scenarioinfo

import logging
import re

import pandas as pd
import pytest
from message_ix import make_df
from message_ix.testing import make_dantzig
from pandas.testing import assert_frame_equal
from sdmx.model.v21 import Code

from message_ix_models import ScenarioInfo, Spec
from message_ix_models.model.structure import get_codes, process_technology_codes
from message_ix_models.util import as_codes


[docs]class TestScenarioInfo:
[docs] def test_empty(self): """ScenarioInfo created from scratch.""" info = ScenarioInfo() # Set values directly info.set["node"] = [Code(id="AT", name="Austria")] info.set["year"] = [1000, 1010, 1020, 1030] info.y0 = 1010 # Shorthand properties # `yv_ya` is generated assert_frame_equal( pd.DataFrame( [ [1010, 1010], [1010, 1020], [1010, 1030], [1020, 1020], [1020, 1030], [1030, 1030], ], columns=["year_vtg", "year_act"], ), info.yv_ya, ) # List of Codes is converted to list of strings assert ["AT"] == info.N # Only years >= y0 assert [1010, 1020, 1030] == info.Y
[docs] def test_units(self, caplog): """Test both :meth:`.io_units` and :meth:`.units_for`.""" # Prepare ScenarioInfo with some commodities and technologies info = ScenarioInfo() info.set["commodity"] = get_codes("commodity") # NB create a technology with units annotation, since technology.yaml lacks # units as of 2022-07-20 t = as_codes({"example tech": {"units": "coulomb"}, "example tech 2": {}}) process_technology_codes(t) info.set["technology"].extend(t) # units_for() runs, produces energy units c_units = info.units_for("commodity", "electr") assert {"[length]": 2, "[mass]": 1, "[time]": -2} == c_units.dimensionality # units_for() runs, produces expected units t_units = info.units_for("technology", "example tech") assert {"[current]": 1, "[time]": 1} == t_units.dimensionality # ValueError is raised for invalid input with pytest.raises(ValueError): info.units_for("commodity", "not a commodity") # io_units() runs, produces a ratio of commodity / technology units with caplog.at_level(logging.DEBUG, "message_ix_models"): assert (c_units / t_units) == info.io_units( "example tech", "electr", level="useful" ) # level= keyword argument → logged warning assert "level = 'useful' ignored" == caplog.messages[-1] # io_units with pytest.raises( ValueError, match=re.escape("technology='example tech 2' [None]") ): info.io_units("example tech 2", "electr")
def test_iter(self) -> None: info = ScenarioInfo(model="m", scenario="s") # dict() operates on the instance via __iter__ assert dict(model="m", scenario="s", version=None) == dict(info) # Individual attributes are accessible assert "m" == info.model assert "s" == info.scenario assert None is info.version def test_url(self) -> None: info = ScenarioInfo(model="m", scenario="s", version=42) assert "m/s#42" == info.url info.url = "a/b" assert dict(model="a", scenario="b", version=None) == dict(info)
[docs] def test_from_scenario(self, test_context) -> None: """ScenarioInfo initialized from an existing Scenario.""" mp = test_context.get_platform() scenario = make_dantzig(mp, multi_year=True) # ScenarioInfo can be initialized from the scenario info = ScenarioInfo(scenario) # model, scenario, and version attributes are retrieved from `scenario` assert dict( model="Canning problem (MESSAGE scheme)", scenario="multi-year", version=1 ) == dict(info) # Shorthand properties assert_frame_equal( pd.DataFrame( [ [1962, 1963], [1962, 1964], [1962, 1965], [1963, 1963], [1963, 1964], [1963, 1965], [1964, 1964], [1964, 1965], [1965, 1965], ], columns=["year_vtg", "year_act"], ), info.yv_ya, ) assert [ "World", "seattle", "san-diego", "new-york", "chicago", "topeka", ] == info.N assert 1963 == info.y0 assert [1963, 1964, 1965] == info.Y
def test_from_url(self): si = ScenarioInfo.from_url("m/s#123") assert "m" == si.model assert "s" == si.scenario assert 123 == si.version @pytest.mark.parametrize( "input, expected", ( ( "Mix-G 1.1-BM-R12 (NAV)/NPi-ref EN_20C_step-3+B#3", "Mix-G 1.1-BM-R12 (NAV)_NPi-ref EN_20C_step-3+B_v3", ), ("foo<>bar/baz|qux*#42", "foo_bar_baz_qux_v42"), ), ) def test_path(self, input, expected) -> None: si = ScenarioInfo() si.url = input assert expected == si.path def test_repr(self): si = ScenarioInfo() si.set["foo"] = [1, 2, 3] assert "<ScenarioInfo: 3 code(s) in 1 set(s)>" == repr(si) def test_update(self): si = ScenarioInfo() si.par["demand"] = make_df("demand") # update() fails with pytest.raises(NotImplementedError): ScenarioInfo().update(si) @pytest.mark.parametrize( "codelist, y0, N_all, N_Y, y_m1, dp_checks", [ ( "A", 2020, 16, 10, 2110, ((1990, 10), (2010, 10), (2020, 10), (2050, 10), (2110, 10)), ), ( "B", 2020, 28, 14, 2110, ((1990, 5), (2010, 5), (2020, 5), (2055, 5), (2110, 10)), ), ], ) def test_year_from_codes(self, caplog, codelist, y0, N_all, N_Y, y_m1, dp_checks): caplog.set_level(logging.DEBUG, logger="message_ix_models") info = ScenarioInfo() codes = get_codes(f"year/{codelist}") info.year_from_codes(codes) # First model period assert y0 == info.y0 assert ("firstmodelyear", y0) in info.set["cat_year"] # Total number of periods assert N_all == len(info.set["year"]) # Number of model periods assert N_Y == len(info.Y) # Final period assert y_m1 == info.Y[-1] # Convert the data frame to a series dp = info.par["duration_period"].set_index("year")["value"] # duration_period entries are as expected for key, expected in dp_checks: assert expected == dp[key] # Test logging assert 0 == len(caplog.messages) info.year_from_codes(codes) assert 3 == len(caplog.messages) assert all(msg.startswith("Discard existing") for msg in caplog.messages)
[docs]class TestSpec: def test_getitem(self): s = Spec() with pytest.raises(KeyError): s["foo"] def test_setitem(self): s = Spec() # Setting a valid key via attribute access syntax works s.add = ScenarioInfo() # Setting a valid key via item access syntax works s["add"] = ScenarioInfo() # Setting an invalid key raises KeyError with pytest.raises(KeyError): s["foo"] = ScenarioInfo() def test_merge(self): s1 = Spec() s1.add.set["technology"] = ["t1", "t3", "t5"] s2 = Spec() s2.add.set["technology"] = ["t2", "t4", "t6"] s3 = Spec.merge(s1, s2) assert 6 == len(s3.add.set["technology"])