Untitled
unknown
plain_text
2 years ago
3.9 kB
5
Indexable
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()
Editor is loading...