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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
releaseId = '275.2'
releaseType = 'DEPLOYED'
replicationTarget = 'TESTING'
catalogId = ''
opId = 'HOB'
buId = 'DEFAULT'
replicationJobId = ''
json_file_path = "/app/scripts/PPM_Release_Management/Product_Catalog_ETL/config/ppm_reply.json"
try:
with open(json_file_path) as json_file:
json_data = json.load(json_file)
# For PPM_PC
encrypt = json_data.get('PPM_PC', {}).get('ENCRYPT')
host = json_data.get('PPM_PC', {}).get('DB_HOST')
port = json_data.get('PPM_PC', {}).get('DB_PORT')
user = json_data.get('PPM_PC', {}).get('DB_USER')
schema = json_data.get(replicationTarget, {}).get('DB_SCHEMA')
if encrypt == 'Y':
password = base_b64decode(json_data.get('PPM_PC', {}).get('DB_PASSWORD')).decode('utf-8')
else:
password = json_data.get('PPM_PC', {}).get('DB_PASSWORD')
cnx = mysql.connector.connect(user=user, password=password, host=host, port=port)
cursor = cnx.cursor()
primary_query = f"SELECT * FROM {schema}.etl_ppm_replication_master"
cursor.execute(primary_query)
rows = cursor.fetchall()
columns = [desc[0] for desc in cursor.description]
df = pd.DataFrame(rows, columns=columns)
# replicationTarget
encrypt_tar = json_data.get(replicationTarget, {}).get('ENCRYPT')
host_tar = json_data.get(replicationTarget, {}).get('DB_HOST')
port_tar = json_data.get(replicationTarget, {}).get('DB_PORT')
user_tar = json_data.get(replicationTarget, {}).get('DB_USER')
if encrypt_tar == 'Y':
password = base_b64decode(json_data.get(replicationTarget, {}).get('DB_PASSWORD')).decode('utf-8')
else:
password = json_data.get(replicationTarget, {}).get('DB_PASSWORD')
cnx_tar = mysql.connector.connect(user=user_tar, password=password, host=host_tar, port=port_tar)
cursor_tar = cnx_tar.cursor()
replaced_string=""
if releaseType == 'DEPLOYED':
order = ['MASTER-CHILD', 'AUDIT-CHILD', 'MASTER', 'AUDIT', 'RELEASE']
filtered_df = df.loc[
df['eprm_catalog'].isin(['PC']) & (df['eprm_enabled_flg'] == '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')
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}.{eprm_table_name} WHERE (" + eprm_table_col_pk + f") IN (SELECT entity_ref_nbr FROM {schema}.release_entity_inst_map WHERE release_id='" + releaseId + "' AND op_id='" + opId + "' AND bu_id='" + buId + "')"
try:
cursor_tar.execute(query)
result = cursor_tar.fetchone()
print(f"Count for {eprm_table_name}: {result[0]} (audit)")
except mysql.connector.Error as err:
print(f"Error occurred while executing the query: {err}")
elif eprm_table_type == 'MASTER':
clause_removed_reim_join = eprm_join_cols_reim.replace(" AND", "").replace("=", "")
remove_string = [eprm_table_alias + "." + v for v in eprm_join_cols_entity.split(",")]
if eprm_table_alias + ".version" not in remove_string and eprm_table_alias + ".version" in eprm_join_cols_reim:
remove_string = remove_string + [eprm_table_alias + ".version"]
eprm_join_cols_entity = eprm_join_cols_entity + ", version"
reim_select_cols = clause_removed_reim_join
for v in remove_string:
reim_select_cols = reim_select_cols.replace(v, "").replace("reim.", "")
reim_select_cols = reim_select_cols.replace(" ", ",")
if eprm_table_alias + ".version" in remove_string and "reim.version" not in eprm_join_cols_reim:
reim_select_cols = reim_select_cols + ",version"
split_parts = reim_select_cols.split(',')
replaced_parts = []
for part in split_parts:
dot_index = part.find('.')
if dot_index != -1:
replaced_part = part[dot_index + 1:]
replaced_parts.append(replaced_part)
else:
replaced_parts.append(part)
replaced_string = ','.join(replaced_parts)
secondary_query = f"SELECT COUNT(*) FROM {schema}.{eprm_table_name} WHERE (" + eprm_join_cols_entity + ") IN (SELECT " + replaced_string + f" FROM {schema}.release_entity_inst_map WHERE release_id='" + releaseId + "' AND op_id='" + opId + "' AND bu_id='" + buId + "')"
try:
cursor_tar.execute(secondary_query)
result = cursor_tar.fetchone()
print(f"Count for {eprm_table_name}: {result[0]} (master)")
except mysql.connector.Error as err:
print(f"Error occurred while executing the query: {err}")Editor is loading...