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import pandas as pd
import mysql.connector
import json
from base64 import b64decode as base_b64decode
from base64 import b64encode as base_b64encode
import re

releaseId = '275.2'
releaseType = ''
replicationTarget = 'TESTING'
catalogId = ''
opId = 'HOB'
buId = 'DEFAULT'
replicationJobId = ''
json_file_path = "/app/scripts/PPM_Release_Management/Product_Catalog_ETL/config/ppm_reply.json"

try:
    with open(json_file_path) as json_file:
        json_data = json.load(json_file)
    #For PPM_PC
    encrypt = json_data.get('PPM_PC', {}).get('ENCRYPT')
    host = json_data.get('PPM_PC', {}).get('DB_HOST')
    port = json_data.get('PPM_PC', {}).get('DB_PORT')
    user = json_data.get('PPM_PC', {}).get('DB_USER')

    if encrypt == 'Y':
        password = base_b64decode(json_data.get('PPM_PC', {}).get('DB_PASSWORD')).decode('utf-8')
    else:
        password = json_data.get('PPM_PC', {}).get('DB_PASSWORD')

    cnx = mysql.connector.connect(user=user, password=password, host=host, port=port)
    cursor = cnx.cursor()

    primary_query = "SELECT * FROM tibtcare_ppm_st2.etl_ppm_replication_master"
    cursor.execute(primary_query)

    rows = cursor.fetchall()
    columns = [desc[0] for desc in cursor.description]
    df = pd.DataFrame(rows, columns=columns)

    filtered_df = df[df['eprm_catalog'].isin(['PC']) & (df['eprm_enabled_flg'] == 'Y') & df['eprm_table_type'].isin(['MASTER' or 'AUDIT'])]
    #replicationTarget
    encrypt_tar = json_data.get(replicationTarget, {}).get('ENCRYPT')
    host_tar = json_data.get(replicationTarget, {}).get('DB_HOST')
    port_tar = json_data.get(replicationTarget, {}).get('DB_PORT')
    user_tar = json_data.get(replicationTarget, {}).get('DB_USER')

    if encrypt_tar == 'Y':
        password = base_b64decode(json_data.get(replicationTarget, {}).get('DB_PASSWORD')).decode('utf-8')
    else:
        password = json_data.get(replicationTarget, {}).get('DB_PASSWORD')

    cnx = mysql.connector.connect(user=user_tar, password=password, host=host_tar, port=port_tar)
    cursor_tar = cnx.cursor()
    for _, row in filtered_df.iterrows():
        eprm_table_name = row['eprm_table_name']
        eprm_join_cols_entity = row['eprm_join_cols_entity']
        eprm_join_cols_reim = row['eprm_join_cols_reim']
        eprm_table_alias = row['eprm_table_alias']
        eprm_table_type=row['eprm_table_type']

        clause_removed_reim_join = eprm_join_cols_reim.replace(" AND", "").replace("=", "")
        remove_string = [eprm_table_alias + "." + v for v in eprm_join_cols_entity.split(",")]
        if eprm_table_alias + ".version" not in remove_string and eprm_table_alias + ".version" in eprm_join_cols_reim:
            remove_string = remove_string + [eprm_table_alias + ".version"]
            eprm_join_cols_entity = eprm_join_cols_entity + ", version"
        reim_select_cols = clause_removed_reim_join
        for v in remove_string:
            reim_select_cols = reim_select_cols.replace(v, "").replace("reim.", "")
        reim_select_cols = reim_select_cols.replace(" ", ",")
        if eprm_table_type == "AUDIT" and eprm_table_alias + ".version" in remove_string and "reim.version" not in eprm_join_cols_reim:
            reim_select_cols = reim_select_cols + ",version"



        # Replace the column fields in the secondary query with the extracted column names
        #reim_select_cols=re.sub(r'\w+\.','',reim_select_cols)
        split_parts = reim_select_cols.split(',')
        replaced_parts = []
        for part in split_parts:
            dot_index = part.find('.')
            if dot_index != -1:
                replaced_part = part[dot_index + 1:]
                replaced_parts.append(replaced_part)
            else:
                replaced_parts.append(part)

        replaced_string = ','.join(replaced_parts)
        #print(replaced_string)

        secondary_query = f"SELECT COUNT(*) FROM tibtcare_ppm_st2.{eprm_table_name} WHERE ("+eprm_join_cols_entity+") IN (SELECT "+replaced_string+" FROM tibtcare_ppm_st2.release_entity_inst_map WHERE release_id='"+releaseId+"' AND op_id='"+opId+"' AND bu_id='"+buId+"')"
        #print(secondary_query)
        try:
            cursor_tar.execute(secondary_query)
            result = cursor_tar.fetchone()
            print(f"Count for {eprm_table_name}: {result[0]}")
        except mysql.connector.Error as err:
            print(f"Error occurred while executing the query: {err}")

    cursor.close()
    cnx.close()

except FileNotFoundError:
    print(f"File {json_file_path} not found.")
except json.JSONDecodeError:
    print(f"Error occurred while parsing JSON file.")
except mysql.connector.Error as err:
    print(f"Error occurred while connecting to the MySQL database: {err}")
except Exception as e:
    print(f"An unexpected error occurred: {e}")