def test_bad_ensemble_path():
emodel = EnsembleModel(ensemble_name="iter-0", ensemble_path="some_path")
with pytest.raises(ValueError) as exception:
emodel.load_ensemble()
assert (
exception.value.args[0] ==
"No realizations found for ensemble iter-0, located at 'some_path'. Aborting..."
)
def test_smry_load(testdata_folder):
emodel = EnsembleModel(
ensemble_name="iter-0",
ensemble_path=Path(testdata_folder) / "reek_history_match" /
"realization-*" / "iter-0",
)
smry = emodel.load_smry()
assert len(smry.columns) == 475
assert len(smry["DATE"].unique()) == 480
def test_load_csv(testdata_folder):
emodel = EnsembleModel(
ensemble_name="iter-0",
ensemble_path=Path(testdata_folder) / "reek_history_match" /
"realization-*" / "iter-0",
)
dframe = emodel.load_csv(Path("share") / "results" / "tables" / "rft.csv")
assert "REAL" in dframe.columns
assert dframe["REAL"].dtype == np.dtype("int64")
assert len(dframe.columns) == 14
def test_parameter_loading(testdata_folder):
emodel = EnsembleModel(
ensemble_name="iter-0",
ensemble_path=Path(testdata_folder) / "reek_history_match" /
"realization-*" / "iter-0",
)
parameters = emodel.load_parameters()
assert "REAL" in parameters.columns
assert parameters["REAL"].dtype == np.dtype("int64")
assert len(parameters.columns) == 27
def test_smry_load(testdata_folder):
emodel = EnsembleModel(
ensemble_name="iter-0",
ensemble_path=Path(testdata_folder) / "01_drogon_ahm" /
"realization-*" / "iter-0",
)
smry = emodel.load_smry()
assert len(smry.columns) == 933
assert len(smry["DATE"].unique()) == 2369
def test_smry_load_filter_and_dtypes(testdata_folder):
emodel = EnsembleModel(
ensemble_name="iter-0",
ensemble_path=Path(testdata_folder) / "reek_history_match" /
"realization-*" / "iter-0",
)
smry = emodel.load_smry(column_keys=["FO*"], time_index="yearly")
assert set(smry.columns) == set([
"DATE",
"REAL",
"FOPRF",
"FOPRS",
"FOPRH",
"FOPTH",
"FOPR",
"FOPTS",
"FOPTF",
"FOPT",
"FOIP",
"FOPP",
])
assert set(smry["DATE"].unique()) == set([
datetime.date(2000, 1, 1),
datetime.date(2001, 1, 1),
datetime.date(2002, 1, 1),
datetime.date(2003, 1, 1),
datetime.date(2004, 1, 1),
])
assert smry["DATE"].dtype == np.dtype("O")
assert smry["REAL"].dtype == np.dtype("int64")
assert all(
np.issubdtype(dtype, np.number)
for dtype in smry.drop(["REAL", "DATE"], axis=1).dtypes)
smry = emodel.load_smry(column_keys=["F[OGW]P?", "WWCT:OP*", "FOIP"],
time_index="yearly")
assert set(smry.columns) == set([
"REAL",
"DATE",
"FGPP",
"FGPR",
"FGPT",
"FOPP",
"FOPR",
"FOPT",
"FWPP",
"FWPR",
"FWPT",
"WWCT:OP_1",
"WWCT:OP_2",
"WWCT:OP_3",
"WWCT:OP_4",
"WWCT:OP_5",
"FOIP",
])
def test_smry_meta(testdata_folder):
emodel = EnsembleModel(
ensemble_name="iter-0",
ensemble_path=Path(testdata_folder) / "reek_history_match" /
"realization-*" / "iter-0",
)
smeta = emodel.load_smry_meta()
assert set(smeta.columns) == set([
"unit", "is_total", "is_rate", "is_historical", "keyword", "wgname",
"get_num"
])
assert len(smeta) == 473
assert "FOPT" in smeta.index
def test_ensemble_set_init(testdata_folder):
emodel = EnsembleModel(
ensemble_name="iter-0",
ensemble_path=Path(testdata_folder) / "01_drogon_ahm" /
"realization-*" / "iter-0",
)
assert emodel.ens_folder == {"iter-0": f"{testdata_folder}/01_drogon_ahm/"}
assert not emodel.webviz_store
def test_ensemble_set_init(testdata_folder):
emodel = EnsembleModel(
ensemble_name="iter-0",
ensemble_path=Path(testdata_folder) / "reek_history_match" /
"realization-*" / "iter-0",
)
assert emodel.ens_folder == {
"iter-0": f"{testdata_folder}/reek_history_match/"
}
assert emodel.webviz_store == []
def test_webviz_store(testdata_folder):
emodel = EnsembleModel(
ensemble_name="iter-0",
ensemble_path=Path(testdata_folder) / "reek_history_match" /
"realization-*" / "iter-0",
)
emodel.load_parameters()
assert len(emodel.webviz_store) == 1
emodel.load_smry()
assert len(emodel.webviz_store) == 2
emodel.load_smry(column_keys=["FOIP"])
assert len(emodel.webviz_store) == 3
emodel.load_smry(time_index="raw")
assert len(emodel.webviz_store) == 4
emodel.load_smry_meta()
assert len(emodel.webviz_store) == 5
emodel.load_smry_meta(column_keys=["R*", "GW?T*"])
assert len(emodel.webviz_store) == 6
emodel.load_csv(Path("share") / "results" / "tables" / "rft.csv")
assert len(emodel.webviz_store) == 7
