Merged in bugfix/postprocessing_date_fix (pull request #996)

Date formatting changes

* Date formatting changes

* Merged dev into bugfix/postprocessing_date_fix


Approved-by: Katon Minhas

src/scripts/postprocess_existing_output.py

@@ -27,8 +27,17 @@ else:
     df = pd.read_csv(input_path, dtype=str, keep_default_na=False)
 print(f"Loaded {len(df)} rows, {len(df.columns)} columns")
 
-# Format date columns to YYYY/MM/DD
-date_cols = [c for c in df.columns if "_DT" in c or "DATE" in c]
+# Format CC-team-facing date columns to YYYY/MM/DD.
+# Raw 1:1 extracted dates (EFFECTIVE_DT, TERMINATION_DT) and obscure date
+# fields (OUTLIER_DT, DISCOUNT_*_DT, PREMIUM_*_DT, SEQUESTRATION_*_DT) are
+# preserved as-is.
+DATE_COLS_TO_FORMAT = (
+    "AARETE_DERIVED_EFFECTIVE_DT",
+    "AARETE_DERIVED_TERMINATION_DT",
+    "REIMB_EFFECTIVE_DT",
+    "REIMB_TERMINATION_DT",
+)
+date_cols = [c for c in df.columns if c in DATE_COLS_TO_FORMAT]
 print(f"Formatting {len(date_cols)} date columns: {date_cols}")
 for col in date_cols:
     df[col] = df[col].apply(validate_and_reformat_date)