Remove debug print statements for CLAIM_TYPE_CD and provider info

src/pipelines/saas/file_processing.py

@@ -522,11 +522,6 @@ def run_one_to_n_prompts(
     )
 
     ################## CONVERT TO DF ##################
-    # Debug: print CLAIM_TYPE_CD before DataFrame creation
-    if one_to_n_results:
-        for i, row in enumerate(one_to_n_results[:3]):  # Check first 3 rows
-            if "CLAIM_TYPE_CD" in row:
-                print(f"CLAIM_TYPE_CD before DataFrame (row {i}): {row['CLAIM_TYPE_CD']} (type: {type(row['CLAIM_TYPE_CD'])})")
     one_to_n_df = pd.DataFrame(one_to_n_results)
 
     return one_to_n_df, dynamic_one_to_one_fields, first_reimbursement_page

src/pipelines/shared/extraction/one_to_n_funcs.py

@@ -769,33 +769,17 @@ def get_lob_relationship(answer_dicts, exhibit_text, filename):
 def one_to_n_cleaning(
     all_exhibit_rows: list[dict], exhibit_text: str, constants: Constants, filename: str
 ):
-    # Debug: print CLAIM_TYPE_CD at start of cleaning
-    if all_exhibit_rows and "CLAIM_TYPE_CD" in all_exhibit_rows[0]:
-        print(f"CLAIM_TYPE_CD at start of one_to_n_cleaning: {all_exhibit_rows[0]['CLAIM_TYPE_CD']} (type: {type(all_exhibit_rows[0]['CLAIM_TYPE_CD'])})")
-
     ################################ Crosswalk Fields ################################
     all_exhibit_rows = aarete_derived.get_crosswalk_fields(all_exhibit_rows, constants)
-    # Debug: print CLAIM_TYPE_CD after crosswalk
-    if all_exhibit_rows and "CLAIM_TYPE_CD" in all_exhibit_rows[0]:
-        print(f"CLAIM_TYPE_CD after get_crosswalk_fields: {all_exhibit_rows[0]['CLAIM_TYPE_CD']} (type: {type(all_exhibit_rows[0]['CLAIM_TYPE_CD'])})")
 
     ################################ Determine LOB Relationship ################################
     all_exhibit_rows = get_lob_relationship(all_exhibit_rows, exhibit_text, filename)
-    # Debug: print CLAIM_TYPE_CD after LOB relationship
-    if all_exhibit_rows and "CLAIM_TYPE_CD" in all_exhibit_rows[0]:
-        print(f"CLAIM_TYPE_CD after get_lob_relationship: {all_exhibit_rows[0]['CLAIM_TYPE_CD']} (type: {type(all_exhibit_rows[0]['CLAIM_TYPE_CD'])})")
 
     ################################ Fill NA Mapping ################################
     all_exhibit_rows = aarete_derived.fill_na_mapping(all_exhibit_rows)
-    # Debug: print CLAIM_TYPE_CD after fill_na_mapping
-    if all_exhibit_rows and "CLAIM_TYPE_CD" in all_exhibit_rows[0]:
-        print(f"CLAIM_TYPE_CD after fill_na_mapping: {all_exhibit_rows[0]['CLAIM_TYPE_CD']} (type: {type(all_exhibit_rows[0]['CLAIM_TYPE_CD'])})")
 
     ################################ Split REIMB_DATES ################################
     all_exhibit_rows = split_reimb_dates(all_exhibit_rows, filename)
-    # Debug: print CLAIM_TYPE_CD after split_reimb_dates
-    if all_exhibit_rows and "CLAIM_TYPE_CD" in all_exhibit_rows[0]:
-        print(f"CLAIM_TYPE_CD after split_reimb_dates: {all_exhibit_rows[0]['CLAIM_TYPE_CD']} (type: {type(all_exhibit_rows[0]['CLAIM_TYPE_CD'])})")
 
     ################################ Normalize Single-Value Fields to Strings ################################
     # REIMB_TERM, SERVICE_TERM, and LOB_PROGRAM_RELATIONSHIP should always be strings (not lists)
@@ -826,10 +810,6 @@ def one_to_n_cleaning(
             else:
                 answer_dict["LOB_PRODUCT_RELATIONSHIP"] = "Exclusive"
 
-    # Debug: print CLAIM_TYPE_CD at end of one_to_n_cleaning
-    if all_exhibit_rows and "CLAIM_TYPE_CD" in all_exhibit_rows[0]:
-        print(f"CLAIM_TYPE_CD at end of one_to_n_cleaning: {all_exhibit_rows[0]['CLAIM_TYPE_CD']} (type: {type(all_exhibit_rows[0]['CLAIM_TYPE_CD'])})")
-
     return all_exhibit_rows
 
 

src/pipelines/shared/extraction/row_funcs.py

@@ -29,9 +29,6 @@ def combine_one_to_n(
             if key not in combined_dict or string_utils.is_empty(
                 combined_dict.get(key)
             ):
-                # Debug: print CLAIM_TYPE_CD when it's being added from exhibit_level
-                if key == "CLAIM_TYPE_CD":
-                    print(f"CLAIM_TYPE_CD in combine_one_to_n (from exhibit_level): {value} (type: {type(value)})")
                 combined_dict[key] = value
         # Add exhibit text for contextual analysis (e.g., for bill type code determination)
         combined_dict["EXHIBIT_TEXT"] = exhibit_text

src/pipelines/shared/extraction/tin_npi_funcs.py

@@ -484,11 +484,6 @@ def get_provider_info(
     # Defensive programming for any json parsing errors
     try:
         providers = _parser(llm_answer_raw)
-        # Print raw LLM provider NAME values to debug format issues
-        print(f"Raw LLM provider info (parsed) on page {page_num}: {providers}")
-        for i, provider in enumerate(providers):
-            if "NAME" in provider:
-                print(f"  Provider {i} NAME: {provider['NAME']} (type: {type(provider['NAME'])})")
         logging.debug(f"Parsed provider info on page {page_num}: {providers}")
         # Ensure we have a list of providers (not a dict or other type)
         if isinstance(providers, dict):