Fix include_imputed_marker being passed as include_meta in get_historical_csv

tests/test_sdk.py

@@ -262,6 +262,24 @@ def test_get_historical_csv(self):
         assert fp.exists()
         fp.unlink()
 
+    def test_get_historical_csv_include_imputed(self):
+        start = parse("2025-01-01 00:00Z")
+        end = parse("2025-01-02 00:00Z")
+        self.historical.get_historical_csv(
+            start, end, REGION, include_imputed_marker=True
+        )
+
+        fp = (
+            Path.home()
+            / "watttime_historical_csvs"
+            / f"{REGION}_co2_moer_{start.date()}_{end.date()}.csv"
+        )
+        assert fp.exists()
+        df = pd.read_csv(fp)
+        self.assertIn("imputed_data_used", df.columns)
+        self.assertNotIn("meta", df.columns)
+        fp.unlink()
+
     def test_multi_model_range(self):
         """If model is not specified, we should only return the most recent model data"""
         myaccess = WattTimeMyAccess()

watttime/api.py

@@ -454,7 +454,12 @@ def get_historical_pandas(
             pd.DataFrame: _description_
         """
         responses = self.get_historical_jsons(
-            start, end, region, signal_type, model, include_imputed_marker
+            start,
+            end,
+            region,
+            signal_type=signal_type,
+            model=model,
+            include_imputed_marker=include_imputed_marker,
         )
         df = pd.json_normalize(
             responses, record_path="data", meta=["meta"] if include_meta else []
@@ -490,7 +495,12 @@ def get_historical_csv(
             None, results are saved to a csv file in the user's home directory.
         """
         df = self.get_historical_pandas(
-            start, end, region, signal_type, model, include_imputed_marker
+            start,
+            end,
+            region,
+            signal_type=signal_type,
+            model=model,
+            include_imputed_marker=include_imputed_marker,
         )
 
         out_dir = Path.home() / "watttime_historical_csvs"