Untitled

import pandas as pd
import mysql.connector

cnx = mysql.connector.connect(user='tibtcare_ppm_st2', password='tibtcare_ppm_st2',
                              host='10.16.16.128', port='3308')
cursor = cnx.cursor()

primary_query = "SELECT * FROM tibtcare_ppm_st2.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)

filtered_df = df[df['eprm_catalog'].isin(['PC']) & (df['eprm_enabled_flg'] == 'Y')]

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']

    # Extract individual column assignments
    columns_reim = eprm_join_cols_reim.split(',')

    # Extract column names after '=' and construct the modified assignment string
    assignment_string = ', '.join([col_reim.split('=')[1].strip() for col_reim in columns_reim])

    secondary_query = f"SELECT COUNT(*) FROM tibtcare_ppm_st2.{eprm_table_name} WHERE ({eprm_join_cols_entity}) IN (SELECT {assignment_string} FROM tibtcare_ppm_st2.release_entity_inst_map)"
    print(secondary_query)
    cursor.execute(secondary_query)
    result = cursor.fetchone()
    print(f"Count for {eprm_table_name}: {result[0]}")

cursor.close()
cnx.close()