Align JoinQuant targets to execution dates

tests/test_joinquant_plugin.py

@@ -269,6 +269,32 @@ def test_export_targets_target_value_mode_from_position_columns(tmp_path):
     assert target.loc[0, "target_shares"] == 250
 
 
+def test_export_targets_can_shift_to_next_execution_session(tmp_path):
+    positions_path = tmp_path / "positions.pq"
+    _positions(date="2024-01-09").to_parquet(positions_path, index=False)
+    calendar_path = tmp_path / "daily.pq"
+    pd.DataFrame({
+        "date": pd.to_datetime(["2024-01-09", "2024-01-10", "2024-01-11"]),
+        "symbol_id": ["sh600000", "sh600000", "sh600000"],
+    }).to_parquet(calendar_path, index=False)
+
+    snapshots = export_targets(
+        positions_path,
+        portfolio_name="run1",
+        out_dir=tmp_path / "targets_shifted",
+        mode="target_shares",
+        start_date="2024-01-10",
+        end_date="2024-01-10",
+        execution_calendar_path=calendar_path,
+    )
+
+    assert len(snapshots) == 1
+    assert snapshots[0]["date"] == "2024-01-10"
+    assert (tmp_path / "targets_shifted" / "run1" / "20240110.csv").exists()
+    target = pd.read_csv(tmp_path / "targets_shifted" / "run1" / "20240110.csv")
+    assert target.loc[0, "date"] == "2024-01-10"
+
+
 def test_ingest_permissive_csv_column_mapping_and_output_schemas(tmp_path):
     fills_csv = tmp_path / "jq_fills.csv"
     positions_csv = tmp_path / "jq_positions.csv"
@@ -479,4 +505,3 @@ def test_wrapper_strategy_generation_smoke(tmp_path):
     assert 'PORTFOLIO_NAME = "run2"' in text
     assert 'TARGET_MODE = "target_value"' in text
     assert "order_target_value" in text
-