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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 #def func_pandas_factory(__col_names, __rows): # return pd_DataFrame(__rows, columns=__col_names) def func_pandas_factory(__col_names, __rows): print("Row_Factory") # Convert tuple items of '__rows' into list (elements of tuples cannot be replaced) __rows = [list(i) for i in __rows] # Convert only 'OrderedMapSerializedKey' type list elements into dict for idx_row, i_row in enumerate(__rows): for idx_value, i_value in enumerate(i_row): if type(i_value) is cass_OrderedMapSerializedKey: __rows[idx_row][idx_value] = dict(__rows[idx_row][idx_value]) return pd_DataFrame(__rows, columns=__col_names) # endDef==>func_pandas_factory() 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" logging.basicConfig( filename=log_file, level=logging.INFO, format='%(asctime)s - %(message)s', datefmt='%Y-%m-%d %H:%M:%S') query_count = 0 sql_log_file = open(sql_log_file, "w") def write_sql(query_info): sql_log_file.write(query_info) sql_log_file.write('\n') try: 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': 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 with open(json_file_path) as json_file: json_data = json.load(json_file) conn_ppm, cursor_ppm, schema_ppm = connect_to_database(json_data, 'PPM_PC') ##cursor_ppm = conn_ppm.cursor() 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() # replicationTarget connection_tar, cursor_tar, schema_tar = connect_to_database(json_data, replicationTarget) # cursor_tar = connection_tar.cursor() replaced_string = "" if releaseType.casefold() == 'DEPLOYED'.casefold(): logging.info(f"processing - {releaseType}") order = ['MASTER-CHILD', 'AUDIT-CHILD', 'MASTER', 'AUDIT', 'RELEASE'] logging.info("order of execution - 'MASTER-CHILD', 'AUDIT-CHILD', 'MASTER', 'AUDIT', 'RELEASE'") filtered_df = df.loc[ df['eprm_catalog'].isin(['PC', 'RELEASE']) & (df['eprm_enabled_flg'].isin(['Y'])) & df[ 'eprm_table_type'].isin( order)].copy() filtered_df['eprm_table_type'] = pd.Categorical(filtered_df['eprm_table_type'], categories=order, ordered=True) filtered_df = filtered_df.sort_values('eprm_table_type') df = df.sort_values('eprm_seq_nbr', ascending=False) for _, row in filtered_df.iterrows(): eprm_table_name = row['eprm_table_name'] eprm_join_cols_entity = row['eprm_join_cols_entity'] eprm_join_cols_reim = row['eprm_join_cols_reim'] eprm_table_alias = row['eprm_table_alias'] eprm_table_type = row['eprm_table_type'] eprm_parent_table_name = row['eprm_parent_table_name'] if eprm_table_type == 'AUDIT': eprm_table_col_pk = row['eprm_table_col_pk'] query = f"SELECT COUNT(*) FROM {schema_tar}.{eprm_table_name} WHERE (" + eprm_table_col_pk + f") IN (SELECT entity_ref_nbr FROM {schema_tar}.release_entity_inst_map WHERE release_id='" + releaseId + "' AND op_id='" + opId + "' AND bu_id='" + buId + "')" try: logging.info(f"processing {eprm_table_type}") cursor_tar.execute(query) result = cursor_tar.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]} (audit)") logging.info(f"Count for {eprm_table_name}: {result[0]} (audit)") 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}") ok now i want to change same in tha above use pd_read_sql in line 127 cursor_tar.execute(query) result = cursor_tar.fetchone()
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