park stached semra compatibility tests

tests/test_semra_compatibility.py

@@ -0,0 +1,46 @@
+"""Test for merging MappingSetDataFrames."""
+
+import unittest
+
+from sssom_schema import Mapping
+
+from sssom.context import get_converter
+from sssom.parsers import parse_sssom_table
+from sssom.util import MappingSetDataFrame
+from sssom.writers import write_table
+
+
+class TestSemraCompatibility(unittest.TestCase):
+    """A test case for making sure the model works as intended."""
+
+    def test_basic_inference(self):
+        """Test if instantiating Mapping() fails when required elements are missing."""
+        mdict_missing = dict(
+            subject_id="ID:123"
+        )  # This is missing object_id, predicate_id, mapping_justification
+
+        import io
+
+        import pandas as pd
+        from semra.api import infer_chains, infer_reversible
+        from semra.io import from_sssom_df, get_sssom_df
+
+        data = [
+            ["UBERON:1", "skos:exactMatch", "FBbt:9"],
+            ["UBERON:1", "skos:exactMatch", "WBbt:6"],
+        ]
+
+        df = pd.DataFrame(data=data, columns=["subject_id", "predicate_id", "object_id"])
+
+        mappings = from_sssom_df(df, mapping_set_name="test")
+        mappings = infer_reversible(mappings, progress=False)
+        mappings = infer_chains(mappings, progress=False)
+
+        df = get_sssom_df(mappings)
+        print(df)
+        msdf = MappingSetDataFrame(df=df, converter=get_converter())
+        print(msdf.df)
+        msdf.standardize_references()
+        msdf.clean_prefix_map()
+        with open("testout.sssom.tsv", "w", encoding="utf-8") as file:
+            write_table(msdf=msdf, file=file)