Apply suggestions from code review

Co-authored-by: melange396 <[email protected]>

Author: dshemetov

src/acquisition/covidcast/covidcast_row.py

@@ -47,7 +47,8 @@ class CovidcastRow:
     # Classvars.
     _db_row_ignore_fields: ClassVar = []
     _api_row_ignore_fields: ClassVar = ["id", "direction_updated_timestamp", "value_updated_timestamp"]
-    _api_row_compatibility_ignore_fields: ClassVar = ["id", "direction_updated_timestamp", "value_updated_timestamp", "source", "time_type", "geo_type"]
+    _api_row_compatibility_ignore_fields: ClassVar = _api_row_ignore_fields + ["source", "time_type", "geo_type"]
+
     _pandas_dtypes: ClassVar = PANDAS_DTYPES
 
     @staticmethod
@@ -57,20 +58,20 @@ def make_default_row(**kwargs) -> "CovidcastRow":
             "signal": "sig",
             "time_type": "day",
             "geo_type": "county",
-            "time_value": 20200202,
+            "time_value": 2020_02_02,
             "geo_value": "01234",
             "value": 10.0,
             "stderr": 10.0,
             "sample_size": 10.0,
             "missing_value": Nans.NOT_MISSING.value,
             "missing_stderr": Nans.NOT_MISSING.value,
             "missing_sample_size": Nans.NOT_MISSING.value,
-            "issue": 20200202,
+            "issue": 2020_02_02,
             "lag": 0,
             "id": None,
             "direction": None,
             "direction_updated_timestamp": 0,
-            "value_updated_timestamp": 20200202,
+            "value_updated_timestamp": 2020_02_02,
         }
         default_args.update(kwargs)
         return CovidcastRow(**default_args)

tests/acquisition/covidcast/test_covidcast_row.py

@@ -63,7 +63,10 @@ def test_CovidcastRow(self):
 
 
     def test_covidcast_rows(self):
-        covidcast_rows = covidcast_rows_from_args(signal=["sig_base"] * 5 + ["sig_other"] * 5, time_value=date_range("2021-05-01", "2021-05-05").to_list() * 2, value=list(range(10)))
+        covidcast_rows = covidcast_rows_from_args(
+            signal=["sig_base"] * 5 + ["sig_other"] * 5,
+            time_value=date_range("2021-05-01", "2021-05-05").to_list() * 2,
+            value=list(range(10)))
         df = covidcast_rows_as_api_row_df(covidcast_rows)
         expected_df = set_df_dtypes(DataFrame({
             "source": ["src"] * 10,