fix(python): reconcile date literals with typed scalars after rebase

Signed-off-by: Claude <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01E92wUoS3LaqWVJmmS7vKVq

Author: claude

vortex-python/python/vortex/polars_.py

@@ -104,10 +104,10 @@ def _polars_to_vortex(expr: dict[str, Any]) -> ve.Expr:
         elif "Decimal" in scalar:
             value, precision, scale = scalar["Decimal"]
             return ve.literal(_dtype.decimal(precision=precision, scale=scale), value)
-        elif len(scalar) == 1 and next(iter(scalar)) in _LITERAL_TYPES:
-            dtype, value = next(iter(scalar.items()))
         elif "Date" in scalar:
             return ve.literal(_dtype.date("days"), scalar["Date"])
+        elif len(scalar) == 1 and next(iter(scalar)) in _LITERAL_TYPES:
+            dtype, value = next(iter(scalar.items()))
         else:
             raise ValueError(f"Cannot convert to Vortex: unsupported Polars scalar value type {scalar}")
 

vortex-python/test/test_polars_.py

@@ -3,9 +3,8 @@
 
 import math
 import os
-from datetime import time
+from datetime import date, time
 from decimal import Decimal
-from datetime import date
 
 import polars as pl
 import pyarrow as pa
@@ -163,12 +162,8 @@ def test_is_not_null_predicate_pushdown(tmp_path):
     assert result["id"].to_list() == [0, 2]
 
 
-def test_polars_date_literals():
-    frame = pl.DataFrame({"x": [date(2024, 1, 1), None, date(2024, 1, 3)]})
 def test_polars_date_literals(tmp_path):
-    frame = pl.DataFrame(
-        {"id": [0, 1, 2, 3], "x": [date(2024, 1, 1), date(2024, 1, 2), None, date(2024, 1, 3)]}
-    )
+    frame = pl.DataFrame({"id": [0, 1, 2, 3], "x": [date(2024, 1, 1), date(2024, 1, 2), None, date(2024, 1, 3)]})
     expr = pl.col("x") >= date(2024, 1, 2)
     path = tmp_path / "date_literals.vortex"
     vx.io.write(vx.array(frame.to_arrow()), str(path))