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import pandas as pd
import mysql.connector
import json
from base64 import b64decode as base_b64decode
import logging
import datetime
import os
from sqlalchemy import create_engine as sqlalchemy_create_engine
from pandas import read_sql as pd_read_sql
import sys

releaseId = '275.2'
releaseType = 'TESTING'
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"
release_type = releaseType.casefold()
STATUS = replicationTarget
STATUS_MESSAGE = "success"

# 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")


# 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')


try:
    # Function to establish a database connection
    def connect_to_database(json_data, replicationTarget):
        try:
            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 = 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 MySQL 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 = create_engine(cnx_text, encoding="utf8").raw_connection()
                cursor = cnx.cursor()

            return cnx, cursor, schema

        except Exception as dbexp:
            print("Error - {} . Line No - {} ".format(str(dbexp), str(sys.exc_info()[-1].tb_lineno)))


    try:
        # Read JSON data from file
        with open(json_file_path) as json_file:
            json_data = json.load(json_file)
    except FileNotFoundError:
        print("File not found: " + json_file_path)

    try:
        # Connect to PPM_PC database
        conn_ppm, cursor_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()
        if len(rows) == 0:
            STATUS = "Error"
            STATUS_MESSAGE = "No records present in etl_ppm_replication_master table"

        # replicationTarget
        connection_tar, cursor_tar, schema_tar = connect_to_database(json_data, replicationTarget)
        # cursor_tar = connection_tar.cursor()
    except Exception as e:
        print("An Error occured:", str(e))
    replaced_string = ""

    try:
        # Deleting records if releaseType is deployed or cancelled for MASTER-CHILD,AUDIT-CHILD,MASTER,AUDIT,RELEASE
        if release_type == 'deployed' or release_type == 'cancelled':
            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.sort_values(by='eprm_seq_nbr', ascending=True, inplace=True)
            filtered_df['eprm_table_type'] = pd.Categorical(filtered_df['eprm_table_type'], categories=order,
                                                            ordered=True)
            filtered_df.sort_values(by=['eprm_table_type', 'eprm_seq_nbr'], ascending=[True, True], inplace=True)