[SCHEMATIC-1] BugFix: manifest submission when data previously annotated without manifest upload

schematic/store/synapse.py

@@ -2825,7 +2825,7 @@ def getDatasetAnnotations(
             try:
                 logger.info("Trying batch mode for retrieving Synapse annotations")
                 table = self.getDatasetAnnotationsBatch(datasetId, dataset_file_ids)
-            except (SynapseAuthenticationError, SynapseHTTPError):
+            except (SynapseAuthenticationError, SynapseHTTPError, ValueError):
                 logger.info(
                     f"Unable to create a temporary file view bound to {datasetId}. "
                     "Defaulting to slower iterative retrieval of annotations."
@@ -3508,6 +3508,12 @@ def _fix_default_columns(self):
         # Rename ROW_ETAG column to eTag and place at end of data frame
         if "ROW_ETAG" in self.table:
             row_etags = self.table.pop("ROW_ETAG")
+
+            # eTag column may already present if users annotated data without submitting manifest
+            # we're only concerned with the new values and not the existing ones
+            if "eTag" in self.table:
+                del self.table["eTag"]
+
             self.table.insert(len(self.table.columns), "eTag", row_etags)
 
         return self.table

tests/test_store.py

@@ -15,6 +15,7 @@
 
 import pandas as pd
 import pytest
+from numpy import nan
 from pandas.testing import assert_frame_equal
 from synapseclient import EntityViewSchema, Folder
 from synapseclient.core.exceptions import SynapseHTTPError
@@ -991,6 +992,71 @@ def test_tidy_table(self, dataset_fileview_table_tidy):
         assert isinstance(year_value, str)
         assert year_value == "1980"
 
+    def test_tidy_table_no_manifest_uploaded(self, synapse_store):
+        """
+        Test to ensure that the table can be tidied without issue when a DatasetFileView object is instantiated
+        based on a dataset that has files annotated but no manifest uploaded.
+        Covers the case where a user validates a manifest with schematic, and annotates the files with a non-schematic tool (ie the R client),
+        and then tries to generate a manifest for the dataset with schematic.
+        """
+        # GIVEN a dataset that has files annotated (including the eTag annotation) but no manifest uplodaded
+        dataset_id = "syn64019998"
+
+        # AND the expected metadata from the files in the dataset
+        expected_metadata = pd.DataFrame(
+            {
+                "Component": {
+                    0: nan,
+                    1: "BulkRNA-seqAssay",
+                    2: "BulkRNA-seqAssay",
+                    3: "BulkRNA-seqAssay",
+                    4: "BulkRNA-seqAssay",
+                },
+                "FileFormat": {0: nan, 1: "BAM", 2: "BAM", 3: "BAM", 4: "BAM"},
+                "GenomeBuild": {
+                    0: nan,
+                    1: "GRCh37",
+                    2: "GRCh37",
+                    3: "GRCh37",
+                    4: "GRCh37",
+                },
+                "entityId": {
+                    0: "syn64019999",
+                    1: "syn64020000",
+                    2: "syn64020001",
+                    3: "syn64020002",
+                    4: "syn64020003",
+                },
+            },
+        ).set_index("entityId", drop=False)
+
+        # WHEN a DatasetFileView object is instantiated based on the dataset
+        dataset_fileview = DatasetFileView(dataset_id, synapse_store.syn)
+
+        # AND the fileview is queried without being tidied
+        table = dataset_fileview.query(tidy=False, force=True)
+
+        # THEN a table should be present
+        assert isinstance(table, pd.DataFrame)
+
+        # AND the table should not be empty
+        assert not table.empty
+
+        # AND the table should already include the eTag column that will be removed and saved for comparison later
+        assert "eTag" in table.columns
+        original_etag_colum = table.pop("eTag")
+
+        # AND when the table is tidied no exception should be raised
+        with does_not_raise():
+            table = dataset_fileview.tidy_table()
+
+        # AND the eTag column should be different from the original eTag column
+        new_etag_column = table.pop("eTag").reset_index(drop=True)
+        assert (new_etag_column != original_etag_colum).all()
+
+        # AND the expected metadata should be present in the table
+        assert_frame_equal(table, expected_metadata)
+
 
 @pytest.mark.table_operations
 class TestTableOperations: