Strip out dynamic postprocessing

src/codes/code_funcs.py

@@ -760,30 +760,6 @@ def extract_codes_from_service(answer_dict, constants: Constants):
     return normalize_answer_dict_codes(answer_dict)
 
 
-def fill_claim_type(answer_dicts):
-    """
-    Fills in the AARETE_DERIVED_CLAIM_TYPE_CD field in each answer_dict with the mode of the existing values.
-    If the field is already populated, it remains unchanged.
-    Args:
-        answer_dicts (list[dict]):  List of dictionaries containing 1:1 and 1:N fields (after merge process)
-    Returns:
-        list[dict]: List of dictionaries with AARETE_DERIVED_CLAIM_TYPE
-    """
-    claim_types = [
-        d.get("AARETE_DERIVED_CLAIM_TYPE_CD")
-        for d in answer_dicts
-        if d.get("AARETE_DERIVED_CLAIM_TYPE_CD")
-    ]
-    if not claim_types:
-        return answer_dicts
-
-    mode_claim_type = max(set(claim_types), key=claim_types.count)
-    for answer_dict in answer_dicts:
-        if not answer_dict.get("AARETE_DERIVED_CLAIM_TYPE_CD"):
-            answer_dict["AARETE_DERIVED_CLAIM_TYPE_CD"] = mode_claim_type
-    return answer_dicts
-
-
 def code_breakout(merged_results: pd.DataFrame, constants: Constants):
     """
     Processes a list of answer dictionaries to extract and fill in code-related information.
@@ -796,8 +772,7 @@ def code_breakout(merged_results: pd.DataFrame, constants: Constants):
     """
     import concurrent.futures
 
-    # Fill empty AARETE_DERIVED_CLAIM_TYPE_CD with mode
-    answer_dicts = fill_claim_type(merged_results.to_dict(orient="records"))
+    answer_dicts = merged_results.to_dict(orient="records")
 
     # Parallelize code extraction
     def process_single_code(answer_dict):