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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 re

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')

    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 = "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)
    # 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.cursor()
    if releaseType=='DEPLOYED':
        filtered_df = df[df['eprm_catalog'].isin(['PC']) & (df['eprm_enabled_flg'] == 'Y') & df['eprm_table_type'].isin(['MASTER' or 'AUDIT'])]


        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']
            if df[df['eprm_catalog'].isin(['PC']) & (df['eprm_enabled_flg'] == 'Y') & df['eprm_table_type'].isin(
                ['AUDIT'])]:
                for _, row in filtered_df.iterrows():
                    eprm_table_name = row['eprm_table_name']
                    eprm_table_col_pk = row['eprm_table_col_pk']
                    query = f"SELECT COUNT(*) FROM tibtcare_ppm_st2.{eprm_table_name} WHERE (" + eprm_table_col_pk + ") IN (SELECT entity_ref_nbr FROM tibtcare_ppm_st2.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]}")
                    except mysql.connector.Error as err:
                        print(f"Error occurred while executing the query: {err}"+"audit")
            elif  df[df['eprm_catalog'].isin(['PC']) & (df['eprm_enabled_flg'] == 'Y') & df['eprm_table_type'].isin(
                ['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_type == "AUDIT" and eprm_table_alias + ".version" in remove_string and "reim.version" not in eprm_join_cols_reim:
                    reim_select_cols = reim_select_cols + ",version"



            # Replace the column fields in the secondary query with the extracted column names
            #reim_select_cols=re.sub(r'\w+\.','',reim_select_cols)
                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)
            #print(replaced_string)

                secondary_query = f"SELECT COUNT(*) FROM tibtcare_ppm_st2.{eprm_table_name} WHERE ("+eprm_join_cols_entity+") IN (SELECT "+replaced_string+" FROM tibtcare_ppm_st2.release_entity_inst_map WHERE release_id='"+releaseId+"' AND op_id='"+opId+"' AND bu_id='"+buId+"')"
                #print(secondary_query)
                try:
                    cursor_tar.execute(secondary_query)
                    result = cursor_tar.fetchone()
                    print(f"Count for {eprm_table_name}: {result[0]}")
                except mysql.connector.Error as err:
                    print(f"Error occurred while executing the query: {err}"+"master")
            else:
                pass
    elif releaseType=='TESTING' or releaseType=='INPROGRESS':
        filtered_df = df[df['eprm_catalog'].isin(['PC']) & (df['eprm_enabled_flg'] == 'Y') & df['eprm_table_type'].isin(['AUDIT'])]
        for _, row in filtered_df.iterrows():
            eprm_table_name = row['eprm_table_name']
            eprm_table_col_pk=row['eprm_table_col_pk']
            query = f"SELECT COUNT(*) FROM tibtcare_ppm_st2.{eprm_table_name} WHERE ("+eprm_table_col_pk+") IN (SELECT entity_ref_nbr FROM tibtcare_ppm_st2.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]}")
            except mysql.connector.Error as err:
                print(f"Error occurred while executing the query: {err}")

        cursor.close()
        cnx.close()
        cursor_tar.close()
        cnx_tar.close()

except FileNotFoundError:
    print(f"File {json_file_path} not found.")
except json.JSONDecodeError:
    print(f"Error occurred while parsing JSON file.")
except mysql.connector.Error as err:
    print(f"Error occurred while connecting to the MySQL database: {err}")
except Exception as e:
    print(f"An unexpected error occurred: {e}")