1 files changed, 75 insertions, 0 deletions
diff --git a/tests/incite/collections/test_df_collection_thl_marketplaces.py b/tests/incite/collections/test_df_collection_thl_marketplaces.py
new file mode 100644
index 0000000..0a77938
--- /dev/null
+++ b/tests/incite/collections/test_df_collection_thl_marketplaces.py
@@ -0,0 +1,75 @@
+from datetime import datetime, timezone
+from itertools import product
+
+import pytest
+from pandera import Column, Index, DataFrameSchema
+
+from generalresearch.incite.collections import DFCollection
+from generalresearch.incite.collections import DFCollectionType
+from generalresearch.incite.collections.thl_marketplaces import (
+    InnovateSurveyHistoryCollection,
+    MorningSurveyTimeseriesCollection,
+    SagoSurveyHistoryCollection,
+    SpectrumSurveyTimeseriesCollection,
+)
+from test_utils.incite.conftest import mnt_filepath
+
+
+def combo_object():
+    for x in product(
+        [
+            InnovateSurveyHistoryCollection,
+            MorningSurveyTimeseriesCollection,
+            SagoSurveyHistoryCollection,
+            SpectrumSurveyTimeseriesCollection,
+        ],
+        ["5min", "6H", "30D"],
+    ):
+        yield x
+
+
+@pytest.mark.parametrize("df_coll, offset", combo_object())
+class TestDFCollection_thl_marketplaces:
+
+    def test_init(self, mnt_filepath, df_coll, offset, spectrum_rw):
+        assert issubclass(df_coll, DFCollection)
+
+        # This is stupid, but we need to pull the default from the
+        #   Pydantic field
+        data_type = df_coll.model_fields["data_type"].default
+        assert isinstance(data_type, DFCollectionType)
+
+        # (1) Can't be totally empty, needs a path...
+        with pytest.raises(expected_exception=Exception) as cm:
+            instance = df_coll()
+
+        # (2) Confirm it only needs the archive_path
+        instance = df_coll(
+            archive_path=mnt_filepath.archive_path(enum_type=data_type),
+        )
+        assert isinstance(instance, DFCollection)
+
+        # (3) Confirm it loads with all
+        instance = df_coll(
+            archive_path=mnt_filepath.archive_path(enum_type=data_type),
+            sql_helper=spectrum_rw,
+            offset=offset,
+            start=datetime(year=2023, month=6, day=1, minute=0, tzinfo=timezone.utc),
+            finished=datetime(year=2023, month=6, day=1, minute=5, tzinfo=timezone.utc),
+        )
+        assert isinstance(instance, DFCollection)
+
+        # (4) Now that we initialize the Class, we can access the _schema
+        assert isinstance(instance._schema, DataFrameSchema)
+        assert isinstance(instance._schema.index, Index)
+
+        for c in instance._schema.columns.keys():
+            assert isinstance(c, str)
+            col = instance._schema.columns[c]
+            assert isinstance(col, Column)
+
+        assert instance._schema.coerce, "coerce on all Schemas"
+        assert isinstance(instance._schema.checks, list)
+        assert len(instance._schema.checks) == 0
+        assert isinstance(instance._schema.metadata, dict)
+        assert len(instance._schema.metadata.keys()) == 2