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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
import sys
releaseId = '275.2'
releaseType = 'deployed'
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'
# 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'
)
query_count = 0
# 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):
try:
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 = 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 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 = create_engine(cnx_text, encoding="utf8").raw_connection()
cursor = cnx.cursor()
return cnx, cursor, schema
except (mysql.connector.Error, sqlalchemy.exc.SQLAlchemyError, ImportError, Exception) as e:
logging.error(f"An error occurred while connecting to the database: {str(e)}")
raise e
try:
# Read JSON data from file
with open(json_file_path) as json_file:
json_data = json.load(json_file)
except FileNotFoundError:
print("File not found: " + json_file_path)
try:
# Connect to PPM_PC database
conn_ppm, cursor_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()
# PC_EXT
replicationTarget_EXT = replicationTarget + '_EXT'
connection_ext, cursor_ext, schema_ext = connect_to_database(json_data, replicationTarget_EXT)
cursor_ext = connection_ext.cursor()
filtered_df = df[df['eprm_catalog'].isin(['PC_EXT']) & (df['eprm_enabled_flg'].isin(['Y']))]
if len(filtered_df) > 0:
for _, row in filtered_df.iterrows():
eprm_table_name = row['eprm_table_name']
if eprm_table_name != 'PKG_PRD_FED_EXT_ATTRS':
query = f"SELECT COUNT(*) FROM {schema_ext}.{eprm_table_name} where release_id='" + releaseId + "' AND op_id='" + opId + "' AND bu_id='" + buId + "'"
try:
result = pd_read_sql(query, con=connection_ext)
count = result.iloc[0, 0]
query_info = f"-- ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ STATUS|{replicationTarget}| TABLE| {eprm_table_name}\n"
query_info += f"-- #Query: Result:{count}\n"
query_count += 1
query_info += query + ";\n"
write_sql(query_info)
print(f"Count for {eprm_table_name}: {count} PC_EXT")
logging.info(f"Count for {eprm_table_name}: {count}")
if query_count > 0:
try:
query_del = f"SELECT COUNT(*) FROM {schema_ext}.{eprm_table_name} where release_id='" + releaseId + "' AND op_id='" + opId + "' AND bu_id='" + buId + "'"
cursor_ext.execute(query_del)
result = cursor_ext.fetchone()
query_info = f"-- ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ STATUS|{replicationTarget}| TABLE| {eprm_table_name}\n"
query_info += f"-- #Query: Result:{result[0]}\n"
query_count += 1
query_info += query + ";\n"
write_sql(query_info)
print(f"Count for {eprm_table_name}: {result[0]}" + "PC_EXT for deletion")
except mysql.connector.Error as err:
print("Error - {} . Line No - {} ".format(str(exp), str(sys.exc_info()[-1].tb_lineno)))
print(f"Error occurred while executing the query:{query}: {err}")
logging.info(f"Error occurred while executing the query:{query}: {err}")
except mysql.connector.Error as err:
print("Error - {} . Line No - {} ".format(str(err), str(sys.exc_info()[-1].tb_lineno)))
print(f"Error occurred while executing the query :{query}: {err}")
logging.info(f"Error occurred while executing the query:{query}: {err}")
logging.info("COMPLETED")
except Exception as e:
print("Error - {} . Line No - {} ".format(str(e), str(sys.exc_info()[-1].tb_lineno)))
print("An Error occured while constructing dataframe:", str(e))
except mysql.connector.Error as err:
print("Error - {} . Line No - {} ".format(str(exp), 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()
in the above scipt i want modify one thing
query = f"SELECT COUNT(*) FROM {schema_ext}.{eprm_table_name} where release_id='" + releaseId + "' AND op_id='" + opId + "' AND bu_id='" + buId + "'"
while executing above query construct dataframes for each and every column and insert all those records as it is in the query_del = f"SELECT COUNT(*) FROM {schema_ext}.{eprm_table_name} where release_id='" + releaseId + "' AND op_id='" + opId + "' AND bu_id='" + buId + "'"
remove select count and modify instead of insert and the columns and values also should be same as above