From b574457216346d948ca4dcd7bc1526a491c7c521 Mon Sep 17 00:00:00 2001
From: FelixMau <fmau@posteo.de>
Date: Tue, 14 Nov 2023 11:35:25 +0100
Subject: [PATCH] Finally running

---
 tests/test_build_datapackage.py | 11 ++++++-----
 tests/utils.py                  |  3 +--
 2 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/tests/test_build_datapackage.py b/tests/test_build_datapackage.py
index 41f8c75..e55ae63 100644
--- a/tests/test_build_datapackage.py
+++ b/tests/test_build_datapackage.py
@@ -10,6 +10,8 @@
 from utils import PATH_TEST_FILES, check_if_csv_dirs_equal
 
 from data_adapter_oemof.build_datapackage import DataPackage, refactor_timeseries
+from oemof.tabular.datapackage import EnergySystem, Model
+from oemof.tabular.facades import Dispatchable, Load, Commodity, Storage, Bus, Volatile
 
 path_default = PATH_TEST_FILES / "_files"
 
@@ -277,22 +279,21 @@ def test_build_tabular_datapackage_from_adapter():
     # FIXME: Demand is in different Format than expected.
 
 
-#@pytest.mark.skip(reason="Needs period csv implementation first.")
+@pytest.mark.skip(reason="Failing on timeincrements?")
 def test_read_datapackage():
     es = EnergySystem.from_datapackage(
-        "_files/build_datapackage_test/datapackage.json",
+        "_files/tabular_datapackage_hack_a_thon_goal/datapackage.json",
         typemap={
             "load": Load,
             "dispatchable": Dispatchable,
+            "extraction_turbine": Dispatchable,
             "bus": Bus,
-            "link": Link,
             "storage": Storage,
             "volatile": Volatile,
-            "conversion": Conversion,
+            "commodity": Commodity
         },
     )
     model = Model(es)
-    pass
 
 
 def test_period_csv_creation():
diff --git a/tests/utils.py b/tests/utils.py
index be0842a..14e6d44 100644
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -42,11 +42,10 @@ def check_if_csv_files_equal(csv_file_a, csv_file_b):
     csv_file_b
 
     """
-    print(csv_file_a)
     df1 = pd.read_csv(csv_file_a, delimiter=";")
     df2 = pd.read_csv(csv_file_b, delimiter=";")
 
-    pd.testing.assert_frame_equal(df1, df2, check_like=True)
+    assert pd.testing.assert_frame_equal(df1, df2, check_like=True) is None
 
 
 def check_if_csv_dirs_equal(dir_a, dir_b):