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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 logging
import datetime
import os
from sqlalchemy import create_engine as sqlalchemy_create_engine
from pandas import read_sql as pd_read_sql


releaseId = '275.2'
releaseType = 'CANCELLED'
replicationTarget = 'SOURCE'
catalogId = ''
opId = 'HOB'
buId = 'DEFAULT'
replicationJobId = 'REP_990_234'
json_file_path = "/app/scripts/PPM_Release_Management/Product_Catalog_ETL/config/ppm_reply.json"
sql_log_file = f"/app/scripts/PPM_Release_Management/Product_Catalog_ETL/logs/{replicationJobId}ppm_reply.sql"
log_file = f'/app/scripts/PPM_Release_Management/Product_Catalog_ETL/logs/{replicationJobId}ppm_reply.log'

# Set up logging
logging.basicConfig(
    filename=log_file,
    level=logging.INFO,
    format='%(asctime)s - %(message)s',
    datefmt='%Y-%m-%d %H:%M:%S'
)

query_count = 0

# Open SQL log file for writing
sql_log_file = open(sql_log_file, "w")

try:
    # Function to write SQL query to the log file
    def write_sql(query_info):
        sql_log_file.write(query_info)
        sql_log_file.write('\n')


    # Function to establish a database connection
    def connect_to_database(json_data, replicationTarget):
        encrypt = json_data.get(replicationTarget, {}).get('ENCRYPT')
        host = json_data.get(replicationTarget, {}).get('DB_HOST')
        port = json_data.get(replicationTarget, {}).get('DB_PORT')
        user = json_data.get(replicationTarget, {}).get('DB_USER')
        db_type = json_data.get(replicationTarget, {}).get('DB_TYPE')
        schema = json_data.get(replicationTarget, {}).get('DB_SCHEMA')
        
        if encrypt == 'Y':
            password = base_b64decode(json_data.get(replicationTarget, {}).get('DB_PASSWORD')).decode('utf-8')
        else:
            password = json_data.get(replicationTarget, {}).get('DB_PASSWORD')
            
        if db_type == 'MYSQL':
            # Connect to MySQL database
            cnx = mysql.connector.connect(user=user, password=password, host=host, port=port)
            cursor = cnx.cursor()
            logging.info(f"Connected to database server {replicationTarget}: {host}:{port}")
        elif db_type == 'ORACLE':
            import oracledb
            
            oracle_mode = oracledb.is_thin_mode()
            print("Oracle mode: %s" % oracle_mode)
            
            if oracle_mode:
                oracledb.init_oracle_client()
                print("Enabled python-oracledb Thick mode")
            else:
                print("Default python-oracledb Thick mode")

            cnx_text = ('oracle://%s:%s@%s:%s/?service_name=%s' % (user, password, host, port, schema))
            cnx = sqlalchemy_create_engine(cnx_text, encoding="utf8")
            cnx = connection.raw_connection()
            cursor = cnx.cursor()
        
        return cnx, cursor, schema


    # Read JSON data from file
    with open(json_file_path) as json_file:
        json_data = json.load(json_file)

    # Connect to PPM_PC database
    conn_ppm, cursorSure! Here's the continuation of the code with the necessary formatting and comments:

```python
    _ppm, schema_ppm = connect_to_database(json_data, 'PPM_PC')
    
    # Fetch data from the etl_ppm_replication_master table
    primary_query = f"SELECT * FROM {schema_ppm}.etl_ppm_replication_master"
    df = pd_read_sql(primary_query, con=conn_ppm)
    columns = df.columns.tolist()
    rows = df.values.tolist()

    # Connect to the replication target database
    connection_tar, cursor_tar, schema_tar = connect_to_database(json_data, replicationTarget)
    
    replaced_string = ""

except Exception as e:
    # Exception occurred, log the error
    logging.error(f"An error occurred: {str(e)}")

finally:
    # Close the SQL log file
    sql_log_file.close()