clean up extraneous comments from prep_bopm script and accompanying unit test

Author: thammo4

.gitignore

@@ -177,3 +177,4 @@ cython_debug/
 airflow/logs
 venv12
 data/*.txt
+largecap_all.txt

scripts/prep_bopm_data.py

@@ -43,22 +43,6 @@ def extract_from_parquet(dataset, symbol=None):
                     logger.warning(f"Empty dataframe, dataset={dataset}, symbol={symbol} [prep_bopm_data]")
                     return None
 
-                #
-                # Cast Date Columns from Nanosec Unix TS -> Date Type
-                #
-
-                # date_convert_map = {
-                #     "ohlcv_bar": [("date", "date")],
-                #     "options": [("date", "date"), ("expiration", "expiration")],
-                #     "dividend": [("ex_date", "ex_date")],
-                #     "fred": [("fred_date", "fred_date")],
-                # }
-                # date_convert = date_convert_map.get(dataset, [])
-
-                # for col_name, new_name in date_convert:
-                #     if col_name in df.columns:
-                #         df[new_name] = pd.to_datetime(df[col_name], unit="ns").dt.normalize()
-
                 return df
 
             except Exception as e:

tests/scripts/test_create_fred_parquet.py

@@ -29,7 +29,6 @@ def mock_fred_data():
 def expected_formatted_data(mock_fred_data):
     df = mock_fred_data.reset_index()
     df.columns = ["fred_date", "fred_rate"]
-    # df["fred_date"] = pd.to_datetime(df["fred_date"]).astype(np.int64)
     df["fred_date"] = pd.to_datetime(df["fred_date"]).dt.normalize()
     df["fred_rate"] /= 100
     return df