#! /usr/bin/env python3

from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from contextlib import closing
from sql import sql_queries
from datetime import date, timedelta
import snowflake.connector
import psycopg2
import smtplib
import argparse
import sys
import json
import datetime

with open('config.json', 'r') as f:
    config = json.load(f)
sf_user = config['snowflake']["user"]
sf_password = config['snowflake']["password"]
sf_account = config['snowflake']["account"]
sf_warehouse = config['snowflake']['warehouse']

db_name_slz = config['postgres_slz']["database"]
db_user_slz = config['postgres_slz']["user"]
db_password_slz = config['postgres_slz']["password"]
db_host_slz = config['postgres_slz']["host"]
db_port_slz = config['postgres_slz']["port"]

db_name_main = config['postgres_main']["database"]
db_user_main = config['postgres_main']["user"]
db_password_main = config['postgres_main']["password"]
db_host_main = config['postgres_main']["host"]
db_port_main = config['postgres_main']["port"]

db_name_workflowdb = config['postgres_workflowdb']["database"]
db_user_workflowdb = config['postgres_workflowdb']["user"]
db_password_workflowdb = config['postgres_workflowdb']["password"]
db_host_workflowdb = config['postgres_workflowdb']["host"]
db_port_workflowdb = config['postgres_workflowdb']["port"]

db_name_etldb = config['postgres_etldb']["database"]
db_user_etldb = config['postgres_etldb']["user"]
db_password_etldb = config['postgres_etldb']["password"]
db_host_etldb = config['postgres_etldb']["host"]
db_port_etldb = config['postgres_etldb']["port"]
def create_arg_parser():
    parser = argparse.ArgumentParser()
    parser.add_argument('-m', '--mail',
                        nargs='+',
                        action='store',
                        dest='recipients',
                        type=str)
    parser.add_argument('-p', '--print', action="store_const", const=True)
    return parser


def send_mail(recipients: str, message: str, status: str) -> None:
    # Create a multipart message
    msg = MIMEMultipart()
    body_part = MIMEText(message, 'plain')
    msg['Subject'] = f"[{status}][PROD] Amazon Charts Monitoring"
    msg['From'] = "support.sme@dataart.com"
    msg['To'] = recipients
    # Add body to email
    msg.attach(body_part)
    # Create SMTP object
    server = smtplib.SMTP('relay1.dataart.com', 25)
    server.sendmail(msg['From'], msg['To'].split(','), msg.as_string())
    server.quit()


def snowflake_fetch_data(sql_query) -> dict:
    ctx = snowflake.connector.connect(
        user=sf_user,
        password=sf_password,
        account=sf_account,
        warehouse=sf_warehouse
    )
    cs = ctx.cursor(snowflake.connector.DictCursor)
    try:
        cs.execute(sql_query)
        result_dict = cs.fetchall()
    finally:
        cs.close()
    ctx.close()
    return result_dict

def postgres_fetch_data_main(sql_query) -> list:
    result_list = []
    with closing(psycopg2.connect(database=db_name_main, user=db_user_main, password=db_password_main, host=db_host_main, port=db_port_main)) as connection:
        with connection.cursor() as cursor:
            cursor.execute(sql_query)
            columns = cursor.description
            rows = cursor.fetchall()
    for row in rows:
        tmp = {}
        for i in range(len(columns)):
            tmp[columns[i][0]] = row[i]
        result_list.append(tmp)
    return result_list

def postgres_fetch_data_etldb(sql_query) -> list:
    result_list = []
    with closing(psycopg2.connect(database=db_name_etldb, user=db_user_etldb, password=db_password_etldb, host=db_host_etldb, port=db_port_etldb)) as connection:
        with connection.cursor() as cursor:
            cursor.execute(sql_query)
            columns = cursor.description
            rows = cursor.fetchall()
    for row in rows:
        tmp = {}
        for i in range(len(columns)):
            tmp[columns[i][0]] = row[i]
        result_list.append(tmp)
    return result_list

def postgres_fetch_data_workflowdb(sql_query) -> list:
    result_list = []
    with closing(psycopg2.connect(database=db_name_workflowdb, user=db_user_workflowdb, password=db_password_workflowdb, host=db_host_workflowdb, port=db_port_workflowdb)) as connection:
        with connection.cursor() as cursor:
            cursor.execute(sql_query)
            columns = cursor.description
            rows = cursor.fetchall()
    for row in rows:
        tmp = {}
        for i in range(len(columns)):
            tmp[columns[i][0]] = row[i]
        result_list.append(tmp)
    return result_list

def postgres_fetch_data_slz(sql_query) -> list:
    result_list = []
    with closing(psycopg2.connect(database=db_name_slz, user=db_user_slz, password=db_password_slz, host=db_host_slz, port=db_port_slz)) as connection:
        with connection.cursor() as cursor:
            cursor.execute(sql_query)
            columns = cursor.description
            rows = cursor.fetchall()
    for row in rows:
        tmp = {}
        for i in range(len(columns)):
            tmp[columns[i][0]] = row[i]
        result_list.append(tmp)
    return result_list

def check_1_5() -> dict:
    result_dict = {}
    full_log = {}

    ### Check 1-5 ##################################################
    for query_name, query in sql_queries.sf_queries_1_5.items():
        tmp_check = snowflake_fetch_data(f"""{query}""")
        full_log[f"{query_name}"] = {}
        if tmp_check:
            src_count = tmp_check[0]['count']
            dest_count = tmp_check[1]['count']
            print(f"{query_name} - src: {src_count}, dest: {dest_count}")
            full_log[f"{query_name}"].update({f"src": src_count})
            full_log[f"{query_name}"].update({f"dest": dest_count})
            if src_count != dest_count:
                result_dict[f"{query_name}"] = full_log[f"{query_name}"]
        else:
            full_log[f"{query_name}"] = {f"FAILED: Query returned nothing"}
            result_dict[f"{query_name}"] = full_log[f"{query_name}"]

    return result_dict, full_log

def check_6_27() -> dict:
    result_dict = {}
    full_log = {}

    ### Check 6-11,14-16,18-20 ##################################################
    for query_name, query in sql_queries.sf_queries_6_20.items():
        tmp_check = snowflake_fetch_data(f"""{query}""")
        full_log[f"{query_name}"] = {}
        if tmp_check:
            src_count = tmp_check[0]['count']
            dest_count = tmp_check[1]['count']
            print(f"{query_name} - src: {src_count}, dest: {dest_count}")
            full_log[f"{query_name}"].update({f"src": src_count})
            full_log[f"{query_name}"].update({f"dest": dest_count})
            if src_count != dest_count:
                result_dict[f"{query_name}"] = full_log[f"{query_name}"]
        else:
            full_log[f"{query_name}"] = {f"FAILED: Query returned nothing"}
            result_dict[f"{query_name}"] = full_log[f"{query_name}"]

    ### Check 12,13,17 ##################################################
    for query_name, query in sql_queries.sf_queries_12_13_17.items():
        tmp_check = snowflake_fetch_data(f"""{query}""")
        full_log[f"{query_name}"] = {}
        if tmp_check:
            count = tmp_check[0]['count']
            print(f"{query_name} count - {count}")
            full_log[f"{query_name}"].update({f"count": count})
            if count != 0:
                result_dict[f"{query_name}"] = full_log[f"{query_name}"]
        else:
            full_log[f"{query_name}"] = {f"FAILED: Query returned nothing"}
            result_dict[f"{query_name}"] = full_log[f"{query_name}"]

    ### Check 21-26 ##################################################

    for check_name, check_data in sql_queries.sf_queries_21_26.items():
        sf_query = check_data.get('sf_check_' + check_name[-2:])
        pg_query = check_data.get('pg_check_' + check_name[-2:])
        print(f"sf_query_{check_name}: {sf_query}")
        print(f"pg_query_{check_name}: {pg_query}")
        tmp_sf_check = snowflake_fetch_data(sf_query)
        tmp_pg_check = postgres_fetch_data_main(pg_query)
        if tmp_sf_check and tmp_pg_check:
            sf_check_count = int(tmp_sf_check[0]['count'])
            pg_check_count = int(tmp_pg_check[0]['count'])
            print(f"sf_{check_name}: - {sf_check_count}")
            print(f"pg_{check_name}: - {pg_check_count}")
            full_log[f"{check_name}"] = {f"sf_{check_name}": sf_check_count, f"pg_{check_name}": pg_check_count}
            if sf_check_count != pg_check_count:
                result_dict[f"{check_name}"] = full_log[f"{check_name}"]

    ### Check 27 ##################################################
    for query_name, query in sql_queries.pg_queries_27.items():
        tmp_check = postgres_fetch_data_main(f"""{query}""")
        if tmp_check:
            print(f"{query_name}: - {tmp_check}")
            full_log[f"{query_name}"] = {}
            result_dict[f"{query_name}"] = {}
            for item in tmp_check:
                uow = item['uow_id']
                status = item['status']
                extra = item['extra_data']
                new_status = item['new_status']
                full_log[f"{query_name}"][f"{uow}"] = {}
                full_log[f"{query_name}"][f"{uow}"].update({"uow_id":uow, "status": status, "extra_data": extra, "new_status": new_status})
                result_dict[f"{query_name}"][f"{uow}"] = {}
                result_dict[f"{query_name}"][f"{uow}"].update({"uow_id":uow, "status": status, "extra_data": extra, "new_status": new_status})
        else:
            full_log[f"{query_name}"] = {f"OK: All UoWs are COMPLETED"}

    return result_dict, full_log
################# run the all steps ######################
def run_steps() -> dict:
    message_dict = {'name':"[PROD] Amazon Charts Monitoring",'status':"",'date':"", 'info':"", 'details':"", 'full_log':""}
    # set date according to sql searching date, currently it's `today`
    message_dict["date"] = message_dict["date"] = (datetime.datetime.now() - datetime.timedelta(days=1)).strftime("%Y-%m-%d")

    result_dict_1_5, monitoring_1_5_log = check_1_5()
    result_dict_6_27, monitoring_6_27_log = check_6_27()
    message_dict['full_log'] = {**monitoring_1_5_log, **monitoring_6_27_log}
    message_dict['details'] = {**result_dict_1_5, **result_dict_6_27}
    sorted_full_log = dict(sorted(message_dict['full_log'].items()))
    message_dict['full_log'] = sorted_full_log
    sorted_details = dict(sorted(message_dict['details'].items()))
    message_dict['details'] = sorted_details

    if result_dict_1_5:
        message_dict['status'] = "FAILED"
        message_dict['info'] = "Data is partially synced with Chartmetric"
    elif result_dict_6_27:
        message_dict['status'] = "FAILED"
        message_dict['info'] = "Data is synced with Chartmetric and partially available in API"
    else:
        message_dict['status'] = "OK"
        message_dict['info'] = "Data is synced with Chartmetric and available in API"

    return message_dict


if __name__ == '__main__':
    # # check command line parameters and print or email result
    parser = create_arg_parser()
    arg_list = parser.parse_args()
    if len(sys.argv[1:]) > 0:
        result = run_steps()
        with open('/tmp/amazon_charts_daily_log.json', 'w') as json_file:
            json.dump(result, json_file, indent=4, default=str)

        if arg_list.recipients:
            recipients = arg_list.recipients[0]
            send_mail(recipients=recipients, message=json.dumps(result, indent=4, default=str), status=result['status'])

        if arg_list.print:
            print(json.dumps(result, indent=4, default=str))
    else:
        parser.print_help()