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# ================================================================================================================================================================================
# PPM PRODUCT CATALOG (PC) REPLICATION - CE CUSTOM TABLES REPLICATE
#   DATE     AUTHOR     VER   CHANGE DESCRIPTION
# --------  ---------  -----  ------------------
# 21.08.23  Veera      1.0   The below script replicates ppm table records dynamically from "etl_ppm_replication_master" "PC_EXT" 
#
#
# ================================================================================================================================================================================

import pandas as pd
import mysql.connector
import json
from base64 import b64decode as base_b64decode
import logging
from pandas import read_sql as pd_read_sql
import sys
from sqlalchemy import create_engine

releaseId = '275.2'
opId = 'HOB'
buId = 'DEFAULT'
replicationTarget = 'SIT'
source = 'SOURCE'
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_pc_ext.sql"
log_file = f'/app/scripts/PPM_Release_Management/Product_Catalog_ETL/logs/{replicationJobId}_ppm_pc_ext.log'
# sql_log_file = os.get_path("PPM_PC_LOG") + "/" + replicationJobId + "_ppm_pc_replication_delete.sql"
# json_file_path = os.get_path("PPM_PC_CONFIG") + "/ppm_pc_replication.json"
# log_file = os.get_path("PPM_PC_LOG") + "/" + replicationJobId + "_ppm_pc_replication_delete.log"

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

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


# 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')


try:
    # 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')
        sid = json_data.get(replicationTarget, {}).get('DB_SID')
        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':
            cnx = mysql.connector.connect(user=user, password=password, host=host, port=port)
            cursor = cnx.cursor()
            logging.info(f"Connected to MySQL database server {replicationTarget}: {host}:{port}")
        elif db_type == 'ORACLE':
            import cx_Oracle
            dsn = cx_Oracle.makedsn(host, port, sid=sid)
            cnx = cx_Oracle.connect(user=user, password=password, dsn=dsn)
            cursor = cnx.cursor()

        return cnx, cursor, schema, user, password, host, port

    # 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, cursor_ppm, schema_ppm, user_ppm, password_ppm, host_ppm, port_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 WHERE eprm_catalog='PC_EXT' AND eprm_enabled_flg='Y'"
    df = pd_read_sql(primary_query, con=conn_ppm)

    # Connect to source database
    conn_source, cursor_source, schema_source, _, _, _, _ = connect_to_database(json_data, source)

    # Connect to target database
    replicationTarget_EXT = replicationTarget + '_EXT'
    db_type = json_data.get(replicationTarget_EXT, {}).get('DB_TYPE')
    if db_type=='MYSQL':
        _, _, schema_target, user_target, password_target, host_target, port_target = connect_to_database(json_data, replicationTarget_EXT)
        target_engine = create_engine(f"mysql+mysqlconnector://{user_target}:{password_target}@{host_target}:{port_target}/{schema_target}")
    else:
        _, _, schema_target, user_target, password_target, host_target, port_target = connect_to_database(json_data,
                                                                                                          replicationTarget_EXT)

        oracle_dsn = f"(DESCRIPTION=(ADDRESS_LIST=(ADDRESS=(PROTOCOL=TCP)(HOST={host_target})(PORT={port_target})))(CONNECT_DATA=(SERVICE_NAME={schema_target})(SID={sid})))"  # Add SID here
        dsn_kwargs = {
            'user': user_target,
            'password': password_target,
            'dsn': oracle_dsn,
            'encoding': 'UTF-8',
        }

        try:
            import cx_Oracle

            target_connection = cx_Oracle.connect(**dsn_kwargs)
            target_cursor = target_connection.cursor()
        except ImportError:
            logging.error("cx_Oracle library not found. Make sure it's installed to establish Oracle connections.")
            raise
        except cx_Oracle.DatabaseError as ex:
            logging.error(f"Error while connecting to Oracle database: {ex}")
            raise

    for _, row in df.iterrows():
        eprm_table_name = row['eprm_table_name'].lower()  # Convert table name to lowercase
        if eprm_table_name != 'pkg_prd_fed_ext_attrs':
            source_query = f"SELECT * FROM {schema_source}.{eprm_table_name} WHERE release_id='{releaseId}' AND op_id='{opId}' AND bu_id='{buId}'"
            try:
                source_df = pd_read_sql(source_query, con=conn_source)
                if not source_df.empty:
                    source_df.to_sql(eprm_table_name, con=target_engine, if_exists='append', index=False)
                    write_sql(
                        f"-- ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ STATUS|{replicationTarget}| TABLE| {eprm_table_name}\n")
                    write_sql(f"-- #Query: Inserted {len(source_df)} record(s) and updated 'created_by'\n")
                    print(f"Inserting records into {eprm_table_name}")
                    logging.info(f"Inserted {len(source_df)} record(s) into {eprm_table_name} and updated 'created_by'")
            except mysql.connector.Error as err:
                print(f"Error occurred while executing the query: {source_query}: {err}")
                logging.info(f"Error occurred while executing the query: {source_query}: {err}")

except Exception as e:
    print("Error - {} . Line No - {} ".format(str(e), str(sys.exc_info()[-1].tb_lineno)))
    print("An Error occurred while constructing dataframe:", str(e))

except mysql.connector.Error as err:
    print("Error - {} . Line No - {} ".format(str(err), str(sys.exc_info()[-1].tb_lineno)))
    print(f"An error occurred: {err}")
    logging.info(f"An error occurred: {err}")

finally:
    if cursor_ppm:
        cursor_ppm.close()
    if conn_ppm:
        conn_ppm.close()
    if json_file:
        json_file.close()
    if sql_log_file:
        sql_log_file.close()

can you modify the above code like while inserting data into this source_df.to_sql(eprm_table_name, con=target_engine, if_exists='append', index=False)

i want to update UPDATE {schema_target}.{eprm_table_name} SET created_by='REP_990_234' WHERE release_id='{releaseId}' AND op_id='{opId}' AND bu_id='{buId} these things along side