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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"
#
# python3 ppm_pc_ext_insert.py --releaseId 275.2 --releaseType DEPLOYED --replicationTarget SIT --opId HOB --buId DEFAULT --replicationJobId REP_990_234
# ================================================================================================================================================================================
import pandas as pd
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
import argparse
from io import TextIOBase as io_TextIOBase
from json import load as json_load
import os
# define Python user-defined exceptions
class Error(Exception):
"""Base class for other exceptions"""
pass
# define Python user-defined exceptions
class ETL_PPM_REPLICATION_MASTER_ERROR(Error):
pass
class DB_CONNECTION_ERROR(Error):
pass
def setDbConnection(logging, json_data, serverInfo, encoding):
from sqlalchemy import create_engine as sqlalchemy_create_engine
from base64 import b64decode as base_b64decode
import mysql.connector
try:
cnx = cursor = schema = db_type = None
encrypt = json_data.get(serverInfo, {}).get('ENCRYPT')
host = json_data.get(serverInfo, {}).get('DB_HOST')
port = json_data.get(serverInfo, {}).get('DB_PORT')
user = json_data.get(serverInfo, {}).get('DB_USER')
db_type = json_data.get(serverInfo, {}).get('DB_TYPE')
schema = json_data.get(serverInfo, {}).get('DB_SCHEMA')
if encrypt == 'Y':
password = base_b64decode(json_data.get(serverInfo, {}).get('DB_PASSWORD')).decode('utf-8')
else:
password = json_data.get(serverInfo, {}).get('DB_PASSWORD')
if db_type in ('MYSQL', 'MARIA'):
connection_text = ('mysql+mysqlconnector://%s:%s@%s:%s/%s' % (user
, password
, host
, port
, schema))
elif db_type == 'ORACLE':
connection_text = ('oracle://%s:%s@%s:%s/%s' % (user
, password
, host
, port
, json_data.get(serverInfo, {}).get('DB_SID')
))
cnx = sqlalchemy_create_engine(connection_text
, encoding=encoding
# ,fast_executemany=True
, connect_args={'connect_timeout': 600})
cursor = cnx.connect()
logging.info(f"Connected to database server {serverInfo}: {host}:{port}/{schema}")
# except mysql.connector.Error as dberr:
# logging.error("DATABASE CONNECTION ERROR")
# logging.error("Error - {} . Line No - {} ".format(str(dberr), str(sys.exc_info()[-1].tb_lineno)))
# cnx = cursor = schema = None
except Exception as dbexp:
logging.error("DATABASE CONNECTION EXCEPTION")
logging.error("Error - {} . Line No - {} ".format(str(dbexp), str(sys.exc_info()[-1].tb_lineno)))
cnx = cursor = schema = None
return cnx, cursor, schema, db_type
def main(args, json_data, log_file, logging, encoding):
try:
releaseId = args.releaseId
opId = args.opId
buId = args.buId
replicationTarget = args.replicationTarget
replicationJobId = args.replicationJobId
return_flag = True
STATUS = "InProgress"
STATUS_MESSAGE = "Insertion of federation tables successful."
replicationTarget_EXT = replicationTarget + '_EXT'
failed_entities = []
# Connect to PPM_PC database
connection_ppm, cursor_ppm, schema_ppm, db_type_ppm = setDbConnection(logging, json_data, 'PPM_PC', encoding)
# Connect to source database
connection_source, cursor_source, schema_source, db_type_source = setDbConnection(logging, json_data, 'SOURCE',
encoding)
# Connect to source_ext database
connection_source_ext, cursor_source_ext, schema_source_ext, db_type_source_ext = setDbConnection(logging,
json_data,
'SOURCE_EXT',
encoding)
# Connect to target_ext database
connection_ext, cursor_ext, schema_ext, db_type_ext = setDbConnection(logging, json_data, replicationTarget_EXT,
encoding)
if not (connection_ppm and connection_source and connection_source_ext and connection_ext):
raise DB_CONNECTION_ERROR
# 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=connection_ppm)
logging.info("Count etl_ppm_replication_master: %s" % len(df))
if len(df) == 0:
raise ETL_PPM_REPLICATION_MASTER_ERROR
query_count = 0
for _, row in df.iterrows():
try:
query_count + 1
eprm_table_name = row['eprm_table_name'].lower()
eprm_seq_nbr = row['eprm_seq_nbr']
logging.info(
f"-- ++++++++++++++++++++++++++++++++ Seq# {query_count}| entity# {eprm_seq_nbr} | PC_EXT | {eprm_table_name}")
if eprm_table_name == 'pkg_prd_fed_ext_attrs':
source_query = f"SELECT * FROM {schema_source_ext}.{eprm_table_name} WHERE release_id='{releaseId}'"
else:
source_query = f"SELECT * FROM {schema_source_ext}.{eprm_table_name} WHERE release_id='{releaseId}' AND op_id='{opId}' AND bu_id='{buId}' limit 65000"
logging.info(f"Reading values")
source_df = pd_read_sql(source_query, con=connection_source_ext)
logging.info(f"Count {len(source_df):,}")
if 'updated_by' in source_df:
source_df['updated_by'] = replicationJobId
logging.info(f"Inserting values")
if not source_df.empty:
source_df.to_sql(eprm_table_name, con=connection_ext, if_exists='append', index=False,
method='multi')
logging.info(f"Insertion successful")
except Exception as e:
failed_entities.append(eprm_table_name)
logging.error(
"DB Execution Error - {} . Line No - {} ".format(str(e), str(sys.exc_info()[-1].tb_lineno)))
logging.info(f"-- ++++++++++++++++++++++++++++++++++ BACK UPDATE STATUS FOR UI ++++++++++++++++++ \n")
if len(failed_entities) > 0:
return_flag = False
STATUS = "Error"
STATUS_MESSAGE = str(failed_entities).replace("'", '').replace('"', '')
logging.info("STATUS: %s" % STATUS)
logging.info("STATUS_MESSAGE: %s" % STATUS_MESSAGE)
query_update = f"UPDATE {schema_source}.ppm_replication_status SET status='" + STATUS + "'" \
+ ", status_message='" + STATUS_MESSAGE + "'" \
+ ", error_description=NULL" \
+ ", updated_by='" + replicationJobId + "' /**/" \
+ " WHERE replication_job_id='" + replicationJobId + "' AND release_id='" + str(releaseId) + "'"
query_ppm_update = f"UPDATE {schema_source}.ppm_release_master SET replication_status='" + STATUS + "'" \
+ ", updated_by='" + replicationJobId + "' /**/" \
+ " WHERE release_id='" + str(releaseId) + "'"
if db_type_source == 'ORACLE':
query_update = query_update.replace('/**/', ', updated_date=SYSDATE')
query_ppm_update = query_ppm_update.replace('/**/', ', updated_on=SYSDATE')
elif db_type_source in ('MARIA', 'MYSQL'):
query_update = query_update.replace('/**/', ', updated_date=NOW()')
query_ppm_update = query_ppm_update.replace('/**/', ', updated_on=NOW()')
logging.info("-- + ppm_replication_status - UPDATE \n")
logging.info(query_update + ";\n")
logging.info("-- + ppm_release_master - UPDATE \n")
logging.info(query_ppm_update + ";\n")
logging.info(f"-- ++++++++++++++++++++++++++++++++++ FIN ++++++++++++++++++++++++++++++++++++++++ \n")
res = cursor_source.execute(query_update)
logging.info("query_update: %s" % res)
res = cursor_source.execute(query_ppm_update)
logging.info("query_ppm_update: %s" % res)
except DB_CONNECTION_ERROR:
logging.error("EXCEPTION: DB CONNECTION ERROR PC_EXT")
return_flag = False
except ETL_PPM_REPLICATION_MASTER_ERROR:
STATUS_MESSAGE = "NO RECORDS PRESENT IN etl_ppm_replication_master TABLE"
logging.error("EXCEPTION:" + STATUS_MESSAGE)
return_flag = False
except Exception as e:
logging.error("Error - {} . Line No - {} ".format(str(e), str(sys.exc_info()[-1].tb_lineno)))
return_flag = False
return return_flag
if __name__ == '__main__':
import logging
from configparser import ConfigParser as conf_ConfigParser
statFile = ""
try:
parser = argparse.ArgumentParser(description="PPM Product Catalog Replication Script")
parser.add_argument('--releaseId', required=True, help="Release ID")
parser.add_argument('--releaseType', required=True, help="Release Type")
parser.add_argument('--replicationTarget', required=True, help="Replication Target")
parser.add_argument('--opId', required=True, help="Operation ID")
parser.add_argument('--buId', required=True, help="Business Unit ID")
parser.add_argument('--replicationJobId', required=True, help="Replication Job ID")
args = parser.parse_args()
replicationJobId = args.replicationJobId
json_file_path = "/app/scripts/PPM_Release_Management/Product_Catalog_ETL/config/ppm_pc_replication.json"
conf_file_path = "/app/scripts/PPM_Release_Management/Product_Catalog_ETL/config/ppm_pc_replication.conf"
log_file = f'/app/scripts/PPM_Release_Management/Product_Catalog_ETL/logs/{replicationJobId}_ppm_pc_replication_insert_pc_ext.log'
statFile = f'/app/scripts/PPM_Release_Management/Product_Catalog_ETL/logs/{replicationJobId}_ppm_pc_replication_insert_pc_ext.status'
args = parser.parse_args()
statFile = open(statFile, "w")
# Set up logging
CONFIG = conf_ConfigParser()
CONFIG.read(conf_file_path)
logging.basicConfig(filename=log_file
, level=CONFIG.get('CONFIG_LOGGING', 'LOG_LEVEL', raw=True)
, format=CONFIG.get('CONFIG_LOG_FORMAT', 'LOG_FORMAT_DISP', raw=True)
, datefmt=CONFIG.get('CONFIG_LOG_FORMAT', 'LOG_FORMAT_DATE', raw=True)
)
logging.info('LOGGER initiated')
encoding = CONFIG.get('CONFIG_GENERIC', 'DB_CHARSET', raw=True)
# Read JSON data from file
if not os.path.exists(json_file_path):
logging.error("CREDENTIAL FILE MISSING")
logging.error("CREDENTIAL FILE: %s" % json_file_path)
raise FileNotFoundError("CREDENTIAL FILE MISSING")
with open(json_file_path) as json_file:
json_data = json_load(json_file)
if main(args, json_data, log_file, logging, encoding):
print("Insertion of data successful")
statFile.write("SUCCESS")
else:
statFile.write("FAILED")
except FileNotFoundError as ferr:
print("Error - {} . Line No - {} ".format(str(ferr), str(sys.exc_info()[-1].tb_lineno)))
statFile.write("FAILED")
except Exception as err:
print("Error - {} . Line No - {} ".format(str(err), str(sys.exc_info()[-1].tb_lineno)))
statFile.write("FAILED")
if isinstance(statFile, io_TextIOBase):
statFile.close()
iam getting below error if iam loading records more than 65000 because dataframe is unable to take
(mysql.connector.errors.OperationalError) MySQL Connection not available.
can you modify code to load records in batches so that the dataframe will not have that much load