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""" - EXCEL_FILE_KWS = ('engine', 'storage_options', 'engine_kwargs') + EXCEL_FILE_KWS = ("engine", "storage_options", "engine_kwargs") kwargs = kwargs.copy() - excel_file_kwargs = { - k: kwargs.pop(k) for k in EXCEL_FILE_KWS if k in kwargs - } + excel_file_kwargs = {k: kwargs.pop(k) for k in EXCEL_FILE_KWS if k in kwargs} # TODO remove when bumping minimum pandas dependency to >= 2.2 if "engine_kwargs" in excel_file_kwargs and packaging.version.parse( importlib.metadata.version("pandas") diff --git a/tests/conftest.py b/tests/conftest.py index dc764f575..8c4cada4c 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,4 +1,5 @@ # has to go first for environment setup reasons + import matplotlib matplotlib.use("agg") @@ -10,6 +11,7 @@ import pandas as pd import pytest from httpx import ConnectError +from ixmp4.conf.base import PlatformInfo from ixmp4.core import Platform from ixmp4.data.backend import SqliteTestBackend @@ -26,12 +28,10 @@ TEST_API = "integration-test" TEST_API_NAME = "IXSE_INTEGRATION_TEST" - here = Path(__file__).parent IMAGE_BASELINE_DIR = here / "expected_figs" TEST_DATA_DIR = here / "data" - TEST_YEARS = [2005, 2010] TEST_DTS = [datetime(2005, 6, 17), datetime(2010, 7, 21)] TEST_TIME_STR = ["2005-06-17", "2010-07-21"] @@ -42,7 +42,6 @@ EXP_DATETIME_INDEX = pd.DatetimeIndex(["2005-06-17T00:00:00"], name="time") - TEST_DF = pd.DataFrame( [ ["model_a", "scen_a", "World", "Primary Energy", "EJ/yr", 1, 6.0], @@ -61,7 +60,6 @@ columns=META_IDX + META_COLS, ) - FULL_FEATURE_DF = pd.DataFrame( [ ["World", "Primary Energy", "EJ/yr", 12, 15], @@ -93,7 +91,6 @@ columns=["region", "variable", "unit"] + TEST_YEARS, ) - img = ["IMAGE", "a_scenario"] msg = ["MESSAGE-GLOBIOM", "a_scenario"] @@ -109,7 +106,6 @@ columns=IAMC_IDX + TEST_YEARS, ) - RECURSIVE_DF = pd.DataFrame( [ ["Secondary Energy|Electricity", "EJ/yr", 5, 19.0], @@ -121,7 +117,6 @@ columns=["variable", "unit"] + TEST_YEARS, ) - TEST_STACKPLOT_DF = pd.DataFrame( [ ["World", "Emissions|CO2|Energy|Oil", "Mt CO2/yr", 2, 3.2, 2.0, 1.8], @@ -267,11 +262,20 @@ def plot_stackplot_df(): @pytest.fixture(scope="function") def test_platform(): - platform = Platform(_backend=SqliteTestBackend()) + sqlite = SqliteTestBackend( + PlatformInfo(name="sqlite-test", dsn="sqlite:///:memory:") + ) + sqlite.setup() + + platform = Platform(_backend=sqlite) platform.regions.create(name="World", hierarchy="common") platform.units.create(name="EJ/yr") + yield platform + sqlite.close() + sqlite.teardown() + @pytest.fixture(scope="session") def conn(): diff --git a/tests/test_io.py b/tests/test_io.py index d0dfd520e..217abff06 100644 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -21,6 +21,7 @@ try: import python_calamine # noqa: F401 + has_calamine = True except ModuleNotFoundError: # pragma: no cover has_calamine = False @@ -127,9 +128,9 @@ def test_read_xls(test_df_year): @pytest.mark.skipif( - packaging.version.parse(importlib.metadata.version("pandas")) \ - < packaging.version.parse("2.2.0"), - reason="pandas < 2.2.0 has inconsistent support for `engine_kwargs`", + packaging.version.parse(importlib.metadata.version("pandas")) + < packaging.version.parse("2.2.0"), + reason="pandas < 2.2.0 has inconsistent support for `engine_kwargs`", ) def test_read_xlsx_kwargs(test_df_year): # Test that kwargs to `IamDataFrame.__init__` are passed to `pd.read_excel` @@ -152,8 +153,8 @@ def test_read_xlsx_kwargs(test_df_year): @pytest.mark.skipif(not has_calamine, reason="Package 'python_calamine' not installed.") @pytest.mark.skipif( - packaging.version.parse(importlib.metadata.version("pandas")) \ - < packaging.version.parse("2.2.0"), + packaging.version.parse(importlib.metadata.version("pandas")) + < packaging.version.parse("2.2.0"), reason="`engine='calamine' requires pandas >= 2.2.0", ) def test_read_xlsx_calamine(test_df_year):