Get index of tx_ac column

Author: jarbesfeld

src/cool_seq_tool/mappers/exon_genomic_coords.py

@@ -966,9 +966,11 @@ async def _select_optimal_transcript(
                 AND alt_ac = '{genomic_ac}'
                 """  # noqa: S608
             results = await self.uta_db.execute_query(query)
-            schema = ["tx_ac", "alt_ac", "hgnc"]
-            transcripts = [(r["tx_ac"], r["alt_ac"], r["hgnc"]) for r in results]
-            transcripts = pl.DataFrame(data=transcripts, schema=schema, orient="row")
+            schema = ["tx_ac"]
+            transcripts = [(r["tx_ac"]) for r in results]
+            transcripts = pl.DataFrame(
+                data=transcripts, schema=schema, orient="row"
+            ).unique()
             result = self.mane_transcript.get_prioritized_transcripts_from_gene(
                 transcripts
             )

src/cool_seq_tool/mappers/mane_transcript.py

@@ -651,7 +651,8 @@ def get_prioritized_transcripts_from_gene(self, df: pl.DataFrame) -> list:
             most recent version of a transcript associated with an assembly will be kept
         """
         copy_df = df.clone()
-        copy_df = copy_df.drop("alt_ac").unique()
+        if "alt_ac" in copy_df.columns:
+            copy_df = copy_df.drop("alt_ac").unique()
         copy_df = copy_df.with_columns(
             [
                 pl.col("tx_ac")
@@ -670,9 +671,12 @@ def get_prioritized_transcripts_from_gene(self, df: pl.DataFrame) -> list:
         )
         copy_df = copy_df.unique(["ac_no_version_as_int"], keep="first")
 
+        tx_ac_index = copy_df.columns.index("tx_ac")
         copy_df = copy_df.with_columns(
             copy_df.map_rows(
-                lambda x: len(self.seqrepo_access.get_reference_sequence(x[1])[0])
+                lambda x: len(
+                    self.seqrepo_access.get_reference_sequence(x[tx_ac_index])[0]
+                )
             )
             .to_series()
             .alias("len_of_tx")